Nishikawa, Takeshi, E-mail: nishikawa.takeshi@okayama-u.ac.jp [Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530 (Japan)
2014-07-15T23:59:59.000Z
Most conventional atomic models in a plasma do not treat the effect of the plasma on the free-electron state density. Using a nearest neighbor approximation, the state densities in hydrogenic plasmas for both bound and free electrons were evaluated and the effect of the plasma on the atomic model (especially for the state density of the free electron) was studied. The model evaluates the electron-state densities using the potential distribution formed by the superposition of the Coulomb potentials of two ions. The potential from one ion perturbs the electronic state density on the other. Using this new model, one can evaluate the free-state density without making any ad-hoc assumptions. The resulting contours of the average ionization degree, given as a function of the plasma temperature and density, are shifted slightly to lower temperatures because of the effect of the increasing free-state density.
Continuous Time Finite State Mean Field Games
Gomes, Diogo A., E-mail: dgomes@math.ist.utl.pt [Instituto Superior Tecnico, Center for Mathematical Analysis, Geometry, and Dynamical Systems, Departamento de Matematica (Portugal); Mohr, Joana, E-mail: joana.mohr@ufrgs.br; Souza, Rafael Rigao, E-mail: rafars@mat.ufrgs.br [UFRGS, Instituto de Matematica (Brazil)
2013-08-01T23:59:59.000Z
In this paper we consider symmetric games where a large number of players can be in any one of d states. We derive a limiting mean field model and characterize its main properties. This mean field limit is a system of coupled ordinary differential equations with initial-terminal data. For this mean field problem we prove a trend to equilibrium theorem, that is convergence, in an appropriate limit, to stationary solutions. Then we study an N+1-player problem, which the mean field model attempts to approximate. Our main result is the convergence as N{yields}{infinity} of the mean field model and an estimate of the rate of convergence. We end the paper with some further examples for potential mean field games.
Mean-field Evolution of Fermionic Mixed States
Niels Benedikter; Vojkan Jaksic; Marcello Porta; Chiara Saffirio; Benjamin Schlein
2015-02-11T23:59:59.000Z
In this paper we study the dynamics of fermionic mixed states in the mean-field regime. We consider initial states which are close to quasi-free states and prove that, under suitable assumptions on the inital data and on the many-body interaction, the quantum evolution of such initial data is well approximated by a suitable quasi-free state. In particular we prove that the evolution of the reduced one-particle density matrix converges, as the number of particles goes to infinity, to the solution of the time-dependent Hartree-Fock equation. Our result holds for all times, and gives effective estimates on the rate of convergence of the many-body dynamics towards the Hartree-Fock one.
Effect of ocean mesoscale variability on the mean state of tropical Atlantic climate
Seo, H; Jochum, M; Murtugudde, R; Miller, A J
2006-01-01T23:59:59.000Z
Effect of Ocean Mesoscale Variability on the Mean State ofthe effect of oceanic mesoscale features on the mean climatemodel, resolving oceanic mesoscale variability leads to a
Contagious Development Neighbor Interactions in Deforestation
Pfaff, Alex
Contagious Development Neighbor Interactions in Deforestation Juan A. Robalino EfD Initiative-CATIE Alexander Pfaff Duke University October 2009 Abstract We estimate neighbor interactions in deforestation instrument for neighbors' deforestation using the slopes of neighbors' and neigh- bors' neighbors' parcels
Pekalski, J.; Ciach, A. [Institute of Physical Chemistry, Polish Academy of Sciences, 01-224 Warszawa (Poland)] [Institute of Physical Chemistry, Polish Academy of Sciences, 01-224 Warszawa (Poland); Almarza, N. G. [Instituto de Química Física Rocasolano, CSIC, Serrano 119, E-28006 Madrid (Spain)] [Instituto de Química Física Rocasolano, CSIC, Serrano 119, E-28006 Madrid (Spain)
2014-03-21T23:59:59.000Z
The short-range attraction and long-range repulsion between nanoparticles or macromolecules can lead to spontaneous pattern formation on solid surfaces, fluid interfaces, or membranes. In order to study the self-assembly in such systems we consider a triangular lattice model with nearest-neighbor attraction and third-neighbor repulsion. At the ground state of the model (T = 0) the lattice is empty for small values of the chemical potential ?, and fully occupied for large ?. For intermediate values of ? periodically distributed clusters, bubbles, or stripes appear if the repulsion is sufficiently strong. At the phase coexistences between the vacuum and the ordered cluster phases and between the cluster and the lamellar (stripe) phases the entropy per site does not vanish. As a consequence of this ground state degeneracy, disordered fluid phases consisting of clusters or stripes are stable, and the surface tension vanishes. For T > 0 we construct the phase diagram in the mean-field approximation and calculate the correlation function in the self-consistent Brazovskii-type field theory.
The mean velocity of two-state models of molecular motor
Yunxin Zhang
2011-08-09T23:59:59.000Z
The motion of molecular motor is essential to the biophysical functioning of living cells. In principle, this motion can be regraded as a multiple chemical states process. In which, the molecular motor can jump between different chemical states, and in each chemical state, the motor moves forward or backward in a corresponding potential. So, mathematically, the motion of molecular motor can be described by several coupled one-dimensional hopping models or by several coupled Fokker-Planck equations. To know the basic properties of molecular motor, in this paper, we will give detailed analysis about the simplest cases: in which there are only two chemical states. Actually, many of the existing models, such as the flashing ratchet model, can be regarded as a two-state model. From the explicit expression of the mean velocity, we find that the mean velocity of molecular motor might be nonzero even if the potential in each state is periodic, which means that there is no energy input to the molecular motor in each of the two states. At the same time, the mean velocity might be zero even if there is energy input to the molecular motor. Generally, the velocity of molecular motor depends not only on the potentials (or corresponding forward and backward transition rates) in the two states, but also on the transition rates between the two chemical states.
Newark Neighbors Saving Energy | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many DevilsForumEngines |NewState EnergyNewark Neighbors Saving Energy
Do meaning-related blockers induce tip-of-the-tongue states? / by Stephen Paul Balfour
Balfour, Stephen Paul
1992-01-01T23:59:59.000Z
may not be warranted because items were not counterbalanced across experimental treatments. Jones' (1989) conclusion that meaning-based TOT induction does not occur relies on the ability of Jones and Langford's (1987) paradigm to uncover the effect... ABSTRACT Do Meaning-Related Blockers Induce Tip-of-the-Tongue States? (December 1992) Stephen Paul Balfour, B. S. , Texas AgcM University Chair of Advisory Committee: Dr. Steven M. Smith Findings in the current tip-of-the-tongue (TOT) induction...
Free energy density for mean field perturbation of states of a one-dimensional spin chain
Fumio Hiai; Milan Mosonyi; Hiromichi Ohno; Denes Petz
2008-01-26T23:59:59.000Z
Motivated by recent developments on large deviations in states of the spin chain, we reconsider the work of Petz, Raggio and Verbeure in 1989 on the variational expression of free energy density in the presence of a mean field type perturbation. We extend their results from the product state case to the Gibbs state case in the setting of translation-invariant interactions of finite range. In the special case of a locally faithful quantum Markov state, we clarify the relation between two different kinds of free energy densities (or pressure functions).
Green's function method for single-particle resonant states in relativistic mean field theory
T. T. Sun; S. Q. Zhang; Y. Zhang; J. N. Hu; J. Meng
2014-09-30T23:59:59.000Z
Relativistic mean field theory is formulated with the Green's function method in coordinate space to investigate the single-particle bound states and resonant states on the same footing. Taking the density of states for free particle as a reference, the energies and widths of single-particle resonant states are extracted from the density of states without any ambiguity. As an example, the energies and widths for single-neutron resonant states in $^{120}$Sn are compared with those obtained by the scattering phase-shift method, the analytic continuation in the coupling constant approach, the real stabilization method and the complex scaling method. Excellent agreements are found for the energies and widths of single-neutron resonant states.
Extremal Fields and Neighboring Optimal Control of Constrained Systems
Harris, Matthew Wade
2012-02-14T23:59:59.000Z
that the di erential serves a unifying role in the optimization of points, optimal 4 control, and neighboring optimal control. Four types of problems are investigated: 1) xed nal time, 2) free nal time, 3) control constrained, and 4) state constrained..., bounded thrust, and free nal time. The problem is one of historical signi cance and current interest. As stated by Apollo engineers [22]: The powered descent and landing on the lunar surface from lunar orbit is perhaps the most critical phase...
Ma, Hsi-Yen; Xiao, Heng; Mechoso, C. R.; Xue, Yongkang
2013-03-01T23:59:59.000Z
This study examines the sensitivity of global tropical climate to land surface processes (LSP) using an atmospheric general circulation model both uncoupled (with prescribed SSTs) and coupled to an oceanic general circulation model. The emphasis is on the interactive soil moisture and vegetation biophysical processes, which have first order influence on the surface energy and water budgets. The sensitivity to those processes is represented by the differences between model simulations, in which two land surface schemes are considered: 1) a simple land scheme that specifies surface albedo and soil moisture availability, and 2) the Simplified Simple Biosphere Model (SSiB), which allows for consideration of interactive soil moisture and vegetation biophysical process. Observational datasets are also employed to assess the reality of model-revealed sensitivity. The mean state sensitivity to different LSP is stronger in the coupled mode, especially in the tropical Pacific. Furthermore, seasonal cycle of SSTs in the equatorial Pacific, as well as ENSO frequency, amplitude, and locking to the seasonal cycle of SSTs are significantly modified and more realistic with SSiB. This outstanding sensitivity of the atmosphere-ocean system develops through changes in the intensity of equatorial Pacific trades modified by convection over land. Our results further demonstrate that the direct impact of land-atmosphere interactions on the tropical climate is modified by feedbacks associated with perturbed oceanic conditions ("indirect effect" of LSP). The magnitude of such indirect effect is strong enough to suggest that comprehensive studies on the importance of LSP on the global climate have to be made in a system that allows for atmosphere-ocean interactions.
Influence of Mean State on Climate Variability at Interannual and Decadal Time Scales
Zhu, Xiaojie
2013-05-17T23:59:59.000Z
for many phenomena associated with variables that are nonlinear by definition, such as the vertical wind shear and surface wind speed. In the first part of this dissertation, the influence of mean flow and anomalous flow on vertical wind shear variability...
Wai Lim Ku; Michelle Girvan; Edward Ott
2014-12-11T23:59:59.000Z
In this paper, we study dynamical systems in which a large number $N$ of identical Landau-Stuart oscillators are globally coupled via a mean-field. Previously, it has been observed that this type of system can exhibit a variety of different dynamical behaviors including clumped states in which each oscillator is in one of a small number of groups for which all oscillators in each group have the same state which is different from group to group, as well as situations in which all oscillators have different states and the macroscopic dynamics of the mean field is chaotic. We argue that this second type of behavior is $^{\\backprime}$extensive$^{\\prime}$ in the sense that the chaotic attractor in the full phase space of the system has a fractal dimension that scales linearly with $N$ and that the number of positive Lyapunov exponents of the attractor also scales with linearly $N$. An important focus of this paper is the transition between clumped states and extensive chaos as the system is subjected to slow adiabatic parameter change. We observe explosive (i.e., discontinuous) transitions between the clumped states (which correspond to low dimensional dynamics) and the extensively chaotic states. Furthermore, examining the clumped state, as the system approaches the explosive transition to extensive chaos, we find that the oscillator population distribution between the clumps continually evolves so that the clumped state is always marginally stable. This behavior is used to reveal the mechanism of the explosive transition. We also apply the Kaplan-Yorke formula to study the fractal structure of the extensively chaotic attractors.
Boyer, Edmond
1069 Exciton Bose condensation : the ground state of an electron-hole gas I. Mean field description dÃ©gÃ©nÃ©rÃ©es. Nous Ã©tudions la condensation de Bose de ce systÃ¨me en fonction de la densitÃ©, nÃ©gligeant dans-hole gas in a simple model semiconductor, with direct gap and isotropic, non degenerate bands. We study
Radiative Heat Transfer between Neighboring Particles
Alejandro Manjavacas; F. Javier Garcia de Abajo
2012-01-26T23:59:59.000Z
The near-field interaction between two neighboring particles is known to produce enhanced radiative heat transfer. We advance in the understanding of this phenomenon by including the full electromagnetic particle response, heat exchange with the environment, and important radiative corrections both in the distance dependence of the fields and in the particle absorption coefficients. We find that crossed terms of electric and magnetic interactions dominate the transfer rate between gold and SiC particles, whereas radiative corrections reduce it by several orders of magnitude even at small separations. Radiation away from the dimer can be strongly suppressed or enhanced at low and high temperatures, respectively. These effects must be taken into account for an accurate description of radiative heat transfer in nanostructured environments.
Chimera states in bursting neurons
Bidesh K. Bera; Dibakar Ghosh; M. Lakshmanan
2015-07-09T23:59:59.000Z
We study the existence of chimera states in pulse-coupled networks of bursting Hindmarsh-Rose neurons with nonlocal, global and local (nearest neighbor) couplings. Through a linear stability analysis, we discuss the behavior of stability function in the incoherent (i.e. disorder), coherent, chimera and multi-chimera states. Surprisingly, we find that chimera and multi-chimera states occur even using local nearest neighbor interaction in a network of identical bursting neurons alone. This is in contrast with the existence of chimera states in populations of nonlocally or globally coupled oscillators. A chemical synaptic coupling function is used which plays a key role in the emergence of chimera states in bursting neurons. Existence of chimera, multi-chimera, coherent and disordered states are confirmed by means of the recently introduced statistical measures.
Statistical Learning Theory Nearest Neighbor Clustering
functions such as the k-means objective function, graph cut objective functions, and many others. This consistency result is stronger than most of the existing consistency results in the literature such as for k-means Learning Research, (accepted) (2009). 2. Pollard, D.: Strong Consistency of k-means Clustering. Annals
AFGHANISTAN'S OTHER NEIGHBORS: IRAN, CENTRAL ASIA, AND CHINA
Spence, Harlan Ernest
AFGHANISTAN'S OTHER NEIGHBORS: IRAN, CENTRAL ASIA, AND CHINA CONFERENCE REPORT Organized ...................................................................4 AFGHANISTAN AND IRAN ...........................................................................................6 Cultural Issues: Fear of Iran's Shadow
Wormhole-Resilient Secure Neighbor Discovery in Underwater Acoustic Networks
Zhang, Rui
), Unmanned Underwater Vehicles (UUV), and surface stations, and nearby nodes communicate via acoustic ratherWormhole-Resilient Secure Neighbor Discovery in Underwater Acoustic Networks Rui Zhang and Yanchao in underwater acoustic networks (UANs) with floating node mobility. In hostile environments, neighbor discovery
A new jet algorithm based on the k-means clustering for the reconstruction of heavy states from jets
S. Chekanov
2006-07-10T23:59:59.000Z
A jet algorithm based on the k-means clustering procedure is proposed which can be used for the invariant-mass reconstruction of heavy states decaying to hadronic jets. The proposed algorithm was tested by reconstructing E+ E- to ttbar to 6 jets and E+ E- to W+W- to 4 jets processes at \\sqrt{s}=500 GeV using a Monte Carlo simulation. It was shown that the algorithm has a reconstruction efficiency similar to traditional jet-finding algorithms, and leads to 25% and 40% reduction of reconstruction width for top quarks and W bosons, respectively, compared to the kT (Durham) algorithm. In addition, it is expected that the peak positions measured with the new algorithm have smaller systematical uncertainty.
Wang, Dingbao; Hejazi, Mohamad I.
2011-09-29T23:59:59.000Z
Climate change and human activities are known to have induced changes to hydrology. Quantifying the relative contribution of the impact of each factor on the hydrologic response of watersheds requires the use of some type of model. In this paper, a decomposition method based on the Budyko model is used to divide the relative contribution of climate and human on mean annual streamflow for 413 watersheds in the contiguous United States. The data of annual precipitation, runoff and potential evaporation of each of the watersheds are obtained from the international Model Parameter Estimation Project (MOPEX), which is often assumed to only include gages unaffected by human activities. The data is split in to two periods (1948-1970 and 1971-2003). The relative contributions of climate change and human activities to the observed change in mean annual streamflow between the two periods are estimated. Although climate change is found to impact annual streamflow more than human activities, the results show that assuming the dataset is unaffected by human activities is far unrealistic. Also climate and human induced changes are more stringent in arid regions where water is limited. The results are compared using four single-parameter functional forms and with previously published data.
Revisiting k-means: New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS@CSE.OHIO-STATE.EDU
Revisiting k-means: New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS, such flexibility is lacking in classical clustering methods such as k-means. In this pa- per, we revisit the k-means of the Bayesian framework, simpler methods such as k-means remain the preferred choice in many large
Ozkale, Aslihan
2007-04-25T23:59:59.000Z
OVERPRESSURE PREDICTION BY MEAN TOTAL STRESS ESTIMATE USING WELL LOGS FOR COMPRESSIONAL ENVIRONMENTS WITH STRIKE-SLIP OR REVERSE FAULTING STRESS STATE A Thesis by ASLIHAN OZKALE Submitted to the Office of Graduate Studies... of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 2006 Major Subject: Petroleum Engineering OVERPRESSURE PREDICTION BY MEAN TOTAL STRESS ESTIMATE USING WELL LOGS...
Extracting Geospatial Preferences Using Relational Neighbors
Marinho, Leandro Balby; Sandholm, Thomas; Nunes, Iury; Nóbrega, Caio; Araújo, Jordão
2012-01-01T23:59:59.000Z
With the increasing popularity of location-based social media applications and devices that automatically tag generated content with locations, large repositories of collaborative geo-referenced data are appearing on-line. Efficiently extracting user preferences from these data to determine what information to recommend is challenging because of the sheer volume of data as well as the frequency of updates. Traditional recommender systems focus on the interplay between users and items, but ignore contextual parameters such as location. In this paper we take a geospatial approach to determine locational preferences and similarities between users. We propose to capture the geographic context of user preferences for items using a relational graph, through which we are able to derive many new and state-of-the-art recommendation algorithms, including combinations of them, requiring changes only in the definition of the edge weights. Furthermore, we discuss several solutions for cold-start scenarios. Finally, we con...
Hoen, Ben
2010-01-01T23:59:59.000Z
Noise Operations of Wind Turbines on Neighbor Annoyance: ANoise Operations of Wind Turbines on Neighbor Annoyance: A
Quantum Simulation of Pairing Hamiltonians with Nearest-Neighbor Interacting Qubits
Zhixin Wang; Xiu Gu; Lian-Ao Wu; Yu-xi Liu
2014-11-23T23:59:59.000Z
Although a universal quantum computer is still far from reach, the tremendous advances in controllable quantum devices, in particular with solid-state systems, make it possible to physically implement "quantum simulators". Quantum simulators are physical setups able to simulate other quantum systems efficiently that are intractable on classical computers. Based on solid-state qubit systems with various types of nearest-neighbor interactions, we propose a complete set of algorithms for simulating pairing Hamiltonians. Fidelity of the target states corresponding to each algorithm is numerically studied. We also compare algorithms designed for different types of experimentally available Hamiltonians and analyze their complexity. Furthermore, we design a measurement scheme to extract energy spectra from the simulators. Our simulation algorithms might be feasible with state-of-the-art technology in solid-state quantum devices.
Distance Metric Learning for Large Margin Nearest Neighbor Classification
Weinberger, Kilian
Distance Metric Learning for Large Margin Nearest Neighbor Classification Kilian Q. Weinberger}@cis.upenn.edu Abstract We show how to learn a Mahanalobis distance metric for k-nearest neigh- bor (kNN) classification in kNN classification--for example, achieving a test error rate of 1.3% on the MNIST handwritten digits
Extremal Fields and Neighboring Optimal Control of Constrained Systems
Harris, Matthew Wade
2012-02-14T23:59:59.000Z
this form, and so this work fills a void in the study of extremal fields and neighboring optimal control of constrained systems. Only first and second-order terms are written down, but the approach is systematic and higher order expressions can be found...
(2) 2-Step Search (Tm) Nearest-Neighbor
Hagiya, Masami
-Hybridization, Proceedings of the Ninth International Symposium on Artificial Life and Robotics (AROB 9th '04), pp. 303 Ohuchi: Nearest-Neighbor Thermodynamics of DNA Sequences with Single Bulge Loop, Proceedings of 9th the Hairpin Structure of Single-strand DNA, Proceedings of 9th International Meetings on DNA Based Computers
Remote-Spanners: What to Know beyond Neighbors Philippe Jacquet
Paris-Sud XI, Université de
Remote-Spanners: What to Know beyond Neighbors Philippe Jacquet INRIA Rocquencourt, France philippe are generally known in practical routing algorithms, we introduce the notion of remote-spanner. Given an unweighted graph G, a sub-graph H with vertex set V (H) = V (G) is an (, )-remote-spanner if for each pair
Malheiro, M.; Dey, M.; Delfino, A.; Dey, J. [Department of Physics, University of Maryland College Park, Maryland 20742-4111 (United States)] [Department of Physics, University of Maryland College Park, Maryland 20742-4111 (United States); [Instituto de Fisica, Universidade Federal Fluminense, 24210-340, Niteroi, Rio de Janeiro, Brasil; [Department of Physics, Presidency College, Calcutta 700073 (India); [Azad Physics Centre, Maulana Azad College, Calcutta 700013 (India)
1997-01-01T23:59:59.000Z
It is known now that chiral symmetry restoration requires the meson-nucleon couplings to be density-dependent in nuclear-matter mean-field models. We further show that, quite generally, the quark and gluon condensates in medium are related to the trace of the energy-momentum tensor of nuclear matter and in these models the incompressibility K must be less than 3 times the chemical potential {mu}. In the critical density {rho}{sub c}, the gluon condensate is only reduced by 20{percent}, indicating a larger effective nucleon mass. {copyright} {ital 1997} {ital The American Physical Society}
Mean-field analysis of ground state and low-lying electric dipole strength in $^{22}$C
Tsunenori Inakura; W. Horiuchi; Y. Suzuki; T. Nakatsukasa
2014-05-30T23:59:59.000Z
Properties of neutron-rich $^{22}$C are studied using the mean-field approach with Skyrme energy density functionals. Its weak binding and large total reaction cross section, which are suggested by recent experiments, are simulated by modifying the central part of Skyrme potential. Calculating $E1$ strength distribution by using the random-phase approximation, we investigate developments of low-lying electric dipole ($E1$) strength and a contribution of core excitations of $^{20}$C. As the neutron Fermi level approaches the zero energy threshold ($\\varepsilon_F >\\sim -1$ MeV), we find that the low-lying $E1$ strength exceeds the energy-weighted cluster sum rule, which indicates an importance of the core excitations with the $1d_{5/2}$ orbit.
Smith, Miles Clay
1990-01-01T23:59:59.000Z
radicals, and hydrated electrons was tabulated in order to develop a radiochemical description of the charged-particle tracks. These radicals are of biological importance since they can damage deoxyribonucleic acid (DNA) through chemical action. For low... t2 s. . . . . . . . . . . . 12 Nearest like-neighbor distributions for hydrated electrons at 10 s . . 13 Nearest like-neighbor distributions for OH radicals at 10-6 s . . 14 Nearest like-neighbor distributions for H radicals at 10-s s...
Kang, In-Sik
The Inverse Effect of Annual-Mean State and Annual-Cycle Changes on ENSO SOON-IL AN,* YOO-GEUN HAM that climate background state changes control both ENSO and the annual-cycle amplitude in opposing ways. 1 climate variability might lead to the generation of deterministic chaos, hence explaining the irregularity of the
Switzer, Paul
The Costs of Neighbors for a Territorial Dragonfly, Perithemis tenera Perri K. Eason* & Paul V competitors. However, neighbors have the potential to be costly to residents in terms of both defensive costs and lost resources. In this study, we assessed the relative costs of defending a mating territory against
Resonating Valence Bonds and Mean-Field d-Wave Superconductivity in Graphite
Black-Schaffer, Annica M.
2010-04-27T23:59:59.000Z
We investigate the possibility of inducing superconductivity in a graphite layer by electronic correlation effects. We use a phenomenological microscopic Hamiltonian which includes nearest neighbor hopping and an interaction term which explicitly favors nearest neighbor spin-singlets through the well-known resonance valence bond (RVB) character of planar organic molecules. Treating this Hamiltonian in mean-field theory, allowing for bond-dependent variation of the RVB order parameter, we show that both s- and d-wave superconducting states are possible. The d-wave solution belongs to a two-dimensional representation and breaks time reversal symmetry. At zero doping there exists a quantum critical point at the dimensionless coupling J/t = 1.91 and the s- and d-wave solutions are degenerate for low temperatures. At finite doping the d-wave solution has a significantly higher T{sub c} than the s-wave solution. By using density functional theory we show that the doping induced from sulfur absorption on a graphite layer is enough to cause an electronically driven d-wave superconductivity at graphite-sulfur interfaces. We also discuss applying our results to the case of the intercalated graphites as well as the validity of a mean-field approach.
Gap symmetries from the neighbor coupling in square-lattice superconductors
W. Liming
2009-11-17T23:59:59.000Z
The gap symmetries of superconductivity are studied in this work. It is found that the gap symmetries are simply determined by the 4-fold rotational symmetries of the coupling potential on neighbor sites. A local on-site coupling potential results in the on-site pairing with the conventional s-wave symmetry, but a coupling potential between the nearest neighbors or the next-nearest neighbors results in the pairing on neighbor sites with the $s^-$, $d_{x^2-y^2}$, $d_{xy}$, or $s_{x^2y^2}$ gap symmetries. It is proved that both isotropic and anisotropic gap functions are allowed by the 4-fold rotational symmetries of the coupling potential. Finally a numerical computation is performed to demonstrate the gap symmetries. This neighbor coupling provides a unified picture for the gap functions of the conventional and the high Tc superconductivity.
Hartman, Georgia Lynne
2010-01-01T23:59:59.000Z
Peninsula, the states of Campeche, Yucatán, and Quintana Roothe neighboring states of Campeche, and especially YucatánYucatán and Mexico (such as Campeche and Sonora), the areas
Cellular Automata Grid of cells, connected to neighbors
Indiana University
Broadened Â· Mobile automata Â A single active cell, which updates its position and state Â· Turing Machines is replaced with a set of cells Â· Asynchronously updating systems #12;Mobile automata #12;Turing Machines #12
The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices
Kudoyan, Olga
2012-02-14T23:59:59.000Z
This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil...
Brown-headed cowbird parasitism on endangered species: relationships with neighboring avian species
Farrell, Shannon Leigh
2009-05-15T23:59:59.000Z
) vireos and characteristics of the neighboring avian assemblage to identify avian characteristics useful for predicting expected frequency of parasitism. I located and monitored vireo nests in March–July 2006 to determine frequency of cowbird parasitism...
The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices
Kudoyan, Olga
2012-02-14T23:59:59.000Z
This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil...
What Will the Neighbors Think? Building Large-Scale Science Projects Around the World
Craig Jones, Christian Mrotzek, Nobu Toge and Doug Sarno
2010-01-08T23:59:59.000Z
Public participation is an essential ingredient for turning the International Linear Collider into a reality. Wherever the proposed particle accelerator is sited in the world, its neighbors -- in any country -- will have something to say about hosting a 35-kilometer-long collider in their backyards. When it comes to building large-scale physics projects, almost every laboratory has a story to tell. Three case studies from Japan, Germany and the US will be presented to examine how community relations are handled in different parts of the world. How do particle physics laboratories interact with their local communities? How do neighbors react to building large-scale projects in each region? How can the lessons learned from past experiences help in building the next big project? These and other questions will be discussed to engage the audience in an active dialogue about how a large-scale project like the ILC can be a good neighbor.
Energy landscape analysis of the two-dimensional nearest-neighbor 4 Dhagash Mehta
Hauenstein, Jonathan
Physics (NITheP), Stellenbosch 7600, South Africa and Institute of Theoretical Physics, University of Stellenbosch, Stellenbosch 7600, South Africa Jonathan D. Hauenstein Department of Mathematics, Texas AEnergy landscape analysis of the two-dimensional nearest-neighbor 4 model Dhagash Mehta Department
The critical role of next-nearest-neighbor interlayer interaction in the magnetic behavior of
Choi, Mahn-Soo
IEC) with contribution from the next-nearest- neighbor (NNN) IEC. This observation reveals that NNN IEC plays a crucial role in the magnetic behavior of these multilayer structures. 5 Author to whom any pronounced when the interlayer exchange coupling (IEC) is AFM [22Â25]. It has been established that the AFM
The Neighbor-joining Method: A New Method for Reconstructing Phylogenetic Trees'
Wehenkel, Louis
and Masatoshi Nei Center for Demographic and Population Genetics, The University of Texas Health Science Center and Nei 1986). In the following we would like to present a new method (the neighbor-joining [NJ] method. Masatoshi Nei, Center for Demographic and Population Genetics, Graduate School of Biomedical Sciences
Berry, R. Stephen
Minimalist Representations and the Importance of Nearest Neighbor Effects in Protein Folding First principle models of protein folding gener- ally are preferred over statistical approaches because a knowledge-based approach and a more funda- mental methodology. Our present focus is on whether protein
Prediction of Protein Interaction Sites From Sequence Profile and Residue Neighbor List
Weston, Ken
Prediction of Protein Interaction Sites From Sequence Profile and Residue Neighbor List Huan Proteinprotein interaction sites are predicted from a neural network with sequence profiles correctly predicted residues account for 65% of the 11,805 residues making up the 129 interfaces. The main
Lin, J.; Bartal, Y.; Uhrig, R.E.
1995-03-01T23:59:59.000Z
Nuclear power plant status is monitored by a human operator. To enhance the operator`s capability to diagnose the nuclear power plant status in case of a transient, several systems were developed to identify the type of the transient. Few of them addressed the further question: how severe is the transient? In this paper, we explore the possibility of predicting the severity of a transient using genetic algorithms and nearest neighbor algorithms after its type has been identified.
Efficient generation and optimization of stochastic template banks by a neighboring cell algorithm
Henning Fehrmann; Holger J. Pletsch
2014-11-17T23:59:59.000Z
Placing signal templates (grid points) as efficiently as possible to cover a multi-dimensional parameter space is crucial in computing-intensive matched-filtering searches for gravitational waves, but also in similar searches in other fields of astronomy. To generate efficient coverings of arbitrary parameter spaces, stochastic template banks have been advocated, where templates are placed at random while rejecting those too close to others. However, in this simple scheme, for each new random point its distance to every template in the existing bank is computed. This rapidly increasing number of distance computations can render the acceptance of new templates computationally prohibitive, particularly for wide parameter spaces or in large dimensions. This work presents a neighboring cell algorithm that can dramatically improve the efficiency of constructing a stochastic template bank. By dividing the parameter space into sub-volumes (cells), for an arbitrary point an efficient hashing technique is exploited to obtain the index of its enclosing cell along with the parameters of its neighboring templates. Hence only distances to these neighboring templates in the bank are computed, massively lowering the overall computing cost, as demonstrated in simple examples. Furthermore, we propose a novel method based on this technique to increase the fraction of covered parameter space solely by directed template shifts, without adding any templates. As is demonstrated in examples, this method can be highly effective..
Quantum computing with nearest neighbor interactions and error rates over 1%
David S. Wang; Austin G. Fowler; Lloyd C. L. Hollenberg
2010-09-20T23:59:59.000Z
Large-scale quantum computation will only be achieved if experimentally implementable quantum error correction procedures are devised that can tolerate experimentally achievable error rates. We describe a quantum error correction procedure that requires only a 2-D square lattice of qubits that can interact with their nearest neighbors, yet can tolerate quantum gate error rates over 1%. The precise maximum tolerable error rate depends on the error model, and we calculate values in the range 1.1--1.4% for various physically reasonable models. Even the lowest value represents the highest threshold error rate calculated to date in a geometrically constrained setting, and a 50% improvement over the previous record.
Causation Entropy Identifies Indirect Influences, Dominance of Neighbors and Anticipatory Couplings
Jie Sun; Erik M. Bollt
2015-04-15T23:59:59.000Z
Inference of causality is central in nonlinear time series analysis and science in general. A popular approach to infer causality between two processes is to measure the information flow between them in terms of transfer entropy. Using dynamics of coupled oscillator networks, we show that although transfer entropy can successfully detect information flow in two processes, it often results in erroneous identification of network connections under the presence of indirect interactions, dominance of neighbors, or anticipatory couplings. Such effects are found to be profound for time-dependent networks. To overcome these limitations, we develop a measure called causation entropy and show that its application can lead to reliable identification of true couplings.
Y-12 supports neighbors in need | Y-12 National Security Complex
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contributeSecuritysupports neighbors in ... Y-12
Bahmani, Bahman; Vattani, Andrea; Kumar, Ravi; Vassilvitskii, Sergei
2012-01-01T23:59:59.000Z
Over half a century old and showing no signs of aging, k-means remains one of the most popular data processing algorithms. As is well-known, a proper initialization of k-means is crucial for obtaining a good final solution. The recently proposed k-means++ initialization algorithm achieves this, obtaining an initial set of centers that is provably close to the optimum solution. A major downside of the k-means++ is its inherent sequential nature, which limits its applicability to massive data: one must make k passes over the data to find a good initial set of centers. In this work we show how to drastically reduce the number of passes needed to obtain, in parallel, a good initialization. This is unlike prevailing efforts on parallelizing k-means that have mostly focused on the post-initialization phases of k-means. We prove that our proposed initialization algorithm k-means|| obtains a nearly optimal solution after a logarithmic number of passes, and then show that in practice a constant number of passes suffic...
Neighboring Interactions in a Periodic Plasmonic Material for Solar-Thermal Energy Conversion
Musho, Terence D; Coppens, Zackary J
2015-01-01T23:59:59.000Z
A periodic plasmonic meta-material was studied using finite-difference time domain (FDTD) method to investigate the influence of neighboring particles on the near unity optical absorptivity. The meta-material was constructed as a silver nanoparticle (20-90nm) situated above an alumina (Al$_2$O$_3$) dielectric environment. A full parametric sweep of the particle width and the dielectric thickness was conducted. Computational results identified several resonances between the metal-dielectric and metal-air that have potential to broadening the response through stacked geometry. A significant coupled resonance between the metal-dielectric resonance and a cavity resonance between particles was capture as a function of dielectric thickness. This coupled resonance was not evident below dielectric thicknesses of 40nm and above cavity widths of 20nm. Additionally, a noticeable propagating surface plasmon polariton resonance was predicted when the particle width was half the unit cell length.
Newman, Michael C.
and the Atlantic Ocean. It is also an integral part of the hy- drologic cycle of South America because of its size and the direct connection with neighboring South American phytogeographic regions also produce a remarkableLocated in the heart of South America, the Pantanal (meaning"great swamp"in Portuguese
Kaminsky, Werner
, operating units, students, staff, administration and neighboring jurisdictions to save lives, protect
Land-cover Classification and Mapping for Eastern Himalayan State Sikkim
Pradhan, Ratika; Bhusan, Ashish; Pradhan, Ronak K; Ghose, M K
2010-01-01T23:59:59.000Z
Area of classifying satellite imagery has become a challenging task in current era where there is tremendous growth in settlement i.e. construction of buildings, roads, bridges, dam etc. This paper suggests an improvised k-means and Artificial Neural Network (ANN) classifier for land-cover mapping of Eastern Himalayan state Sikkim. The improvised k-means algorithm shows satisfactory results compared to existing methods that includes k-Nearest Neighbor and maximum likelihood classifier. The strength of the Artificial Neural Network (ANN) classifier lies in the fact that they are fast and have good recognition rate and it's capability of self-learning compared to other classification algorithms has made it widely accepted. Classifier based on ANN shows satisfactory and accurate result in comparison with the classical method.
Photodissociation feedback of Population III stars \\\\on their neighbor prestellar cores
Hajime Susa
2007-01-08T23:59:59.000Z
We investigate the star formation process in primordial environment in the presence of radiative feedback by other population III stars formed earlier. In this paper, we focus our attention on the effects by photodissociative radiation toward the full understanding of the radiative feedback effects. We perform three dimensional radiation hydrodynamics simulations on this issue as well as analytic estimates, paying special attention on the self-shielding effect and dynamics of the star-forming cloud. As a result, we find that the ignition timing of the source star is crucial. If the ignition is later than the epoch when the central density of the collapsing cloud exceeds $\\sim 10^3-10^4{\\rm cm^{-3}}$, the collapse cannot be reverted, even if the source star is located at $\\la$ 100pc. The uncertainty of the critical density comes from the variety of initial conditions of the collapsing cloud. We also find the analytic criteria for a cloud to collapse with given central density, temperature and the Lyman-Werner(LW) band flux which irradiates the cloud. Although we focus on the radiation from neighbor stars, this result can also be applied to the effects of diffuse LW radiation field, that is expected to be built up prior to the reionization of the universe. We find that self-gravitating clouds can easily self-shield from diffuse LW radiation and continue their collapse for densities larger than $\\sim 10^3 {\\rm cm^{-3}}$.
Axsen, Jonn; Mountain, Dean C.; Jaccard, Mark
2009-01-01T23:59:59.000Z
D R.L. Polk & Co. , 2006. Hybrid Vehicle Registrations Morecapital cost of the hybrid vehicle, subsidy providedfor the hybrid vehicle, horsepower of the hybrid vehicle,
Axsen, Jonn; Mountain, Dean C.; Jaccard, Mark
2009-01-01T23:59:59.000Z
between capital and operating costs— an estimate of the timeto estimate the private discount rate, r, using capital costthe capital cost coef?cient. In this study, we estimate i j
Axsen, Jonn; Mountain, Dean C.; Jaccard, Mark
2009-01-01T23:59:59.000Z
levels, yielding a 3 7 factorial design that was simpli?edorthogonal fractional factorial design of 18 choice sets.subject to the factorial design were: capital cost of the
Tsubota, J.
1981-11-10T23:59:59.000Z
A highly efficient solar focusing means being hollow and in semi-cylindrical or arcuate shape, the surface has such fine menisci as to act like convex lenses to focus solar rays towards the center of the focusing body, irrespective of the position of the sun, where a solar energy conversion device is located and further acts to disperse light reflected thereonto from the solar energy conversion device. The focusing body can assume several shapes and thus can be used for roofing of a building, such as a house, or the like, and still be aesthetically pleasing.
Hausdorf means and multipliers
McCabe, Thomas Francis
1968-01-01T23:59:59.000Z
lies in summability methods generated by a m x+ matrix T = (c ); given a sequence { s }, we define t = p c s . nan n m mn n lim If t exists for each m and t = p, then we say T sums m m ~ m {s } to p . Unlike the abstract definition of a summability... Hausdori transformation; that n m for m g n; and that X is a transformation that commutes with B Now if A = 6&6 then we have X = 6A6 and since B = 6p 6 vve have p = 6 B 6 . Therefore AP =(6X6)(6B6) =(6XB6)=6BX6=(6B6) (6) 6) =&A If A has means t where...
Dibrell, Aquilla Gibbs, III
1968-01-01T23:59:59.000Z
MEANS (2. 1) DEFINITION. Let p = fp ( be a sequence with p & 0, n 0 p &OandletP =Z p . Thematrixwithc =p /P . n& m, n n- n k=0 k' mn m n m' c = 0, n & m is called the (N, p ) matrix, and the summability method mn n associated with it is called... when m + co is mn equivalent to p /P ? &0. Suppose first c -+ 0 for each n; then n n mn c -+0, bute =p /P, sop /P &0. Letnextp /P ~0; mo mo m m' m m n n fixnandnoteP &P, sothatc =p /P & p /P -+0, m-n ? m' mn m-n m ? m-n m-n and the proof...
Yardstick Competition : an empirical investigation using state taxes and media markets
Johnson, Lynn Christine, 1976-
2014-01-01T23:59:59.000Z
I investigate whether voters judge the performance of their governor on taxes by comparing him to governors from neighboring states. If voters do make these comparisons, it creates "yardstick competition," where governors ...
Caught in the middle : : Mexico's relationship with Cuba and the United States 1959-1969
Ancona, Rafael
2013-01-01T23:59:59.000Z
and the neighboring state of Campeche collected medicine andde Bellas Artes en Yucatán y Campeche (National Institute ofFine Arts in Yucatan and Campeche) Juan Duch Colell also
Brett Parker
2003-01-01T23:59:59.000Z
Trials, 1794 (1992) and Treason: Famous En- glish Treason Trials (1995). Allan I. Macinnes and Jane Ohlmeyer, eds. The Stuart Kingdoms in the Seventeenth Century: Awkward Neighbors. Dublin: Four Courts Press. 2002. 256 pp. $45.00. Review by BRETT... essays ask what were the cultural perceptions of these king- doms and to what degree were they a product of their shared history. Editors Allan I. Macinnes and Jane Ohlmeyer have cleverly orga- nized Stuart Kingdoms into five sections that relate...
Risky neighbors and co-ethnic groups : the political logic of fiscal grants in China
Jeong, Jihyeon; Jeong, Jihyeon
2012-01-01T23:59:59.000Z
Myanmar (Burma), and Kyrgyzstan as well as stable statesKazakhstan, North Korea, Kyrgyzstan, Laos, Mongolia, Nepal,ethnics in Kazakhstan and Kyrgyzstan. challenges. In order
Learning Kinematics from Direct Self-Observation using Nearest-Neighbor
Cremers, Daniel
, meaning that no accurate construction model is avail- able at design time. Further, home robots need of robotic manipulators is de- rived analytically from the robot model. However, there are cases in which robot to estimate the inverse kinematic function on-the-fly directly from self-observation and without
NeighborWorks On-Bill Option Simplifies Loan Payments in Vermont...
Loan Payments in Vermont Photo of a family standing in front of a house. Paying for energy improvements just got easier in the Green Mountain State. Customers of Vermont...
Sinclair-James, Lucinda
1993-01-01T23:59:59.000Z
of Advisory Committee: Dr. Charles Conrad Proponents of mediation claim it is the perfect process to resolve conflict because it allows all parties the opportunity to express their views and reach a mutually agreeable course of action. Some mediation... advocates also claim it can equalize power imbalances between parties. Habermas' conception of an ideal speech situation is one without domination where a consensus of meaning is reached. This thesis provides an analysis of the community mediation process...
Red Means Go Information Technology
Projects ·Budget Issues #12;Red Means Go Strategic Operations Plan (SOP) ·Articulate the OIT vision, planning, and other business functions · Scope: Project will impact university data users (executive Means Go Directions and Opportunities for OIT ·Three Phase Plan for IT Improvement ·Develop Strategic
Whitman, Brian A. (Brian Alexander)
2005-01-01T23:59:59.000Z
Expression as complex and personal as music is not adequately represented by the signal alone. We define and model meaning in music as the mapping between the acoustic signal and its contextual interpretation - the 'community ...
Murtazaev, A. K.; Ramazanov, M. K., E-mail: sheikh77@mail.ru; Badiev, V. K. [Russian Academy of Sciences, Institute of Physics, Dagestan Scientific Center (Russian Federation)
2012-08-15T23:59:59.000Z
The critical behavior of the three-dimensional antiferromagnetic Heisenberg model with nearest-neighbor (J) and next-to-nearest-neighbor (J{sub 1}) interactions is studied by the replica Monte Carlo method. The first-order phase transition and pseudouniversal critical behavior of this model are established for a small lattice in the interval R = vertical bar J{sub 1}/J vertical bar = 0-0.115. A complete set of the main static magnetic and chiral critical indices is calculated in this interval using the finite-dimensional scaling theory.
Appendix A K-means and Fuzzy K-means Clustering 11.1 K-Means Clustering
Bowden, Richard
199 Appendix A K-means and Fuzzy K-means Clustering 11 11.1 K-Means Clustering Clustering by a gradient descent based iterative algorithm that is known as k-means (or c-means) algorithm or the Generalised Lloyd algorithm {Karayiannis 95]. The k-means algorithm begins with a set of k initial exemplars
Solid State Nuclear Magnetic Resonance 29 (2006) 105117 Electron-nuclear cross polarization
Griffin, Robert G.
2006-01-01T23:59:59.000Z
Solid State Nuclear Magnetic Resonance 29 (2006) 105117 Electron-nuclear cross polarization V from an unpaired electron to neighboring nuclei via electron-nuclear cross polarization (eHahn cross polarization (CP) process introduced by Pines et al., that is widely used in solid-state nuclear
Divergence of Lubkin's series for a quantum subsystem's mean entropy
Jacob P Dyer
2014-09-17T23:59:59.000Z
In 1978, Lubkin proposed a method of approximating the mean von Neumann entropy for a subsystem of a finite-dimensional quantum system in an overall pure state by expanding the entropy as a series in terms of the mean trace of powers of the system's reduced density operator, but the convergence of this series was never established. We find an exact closed form expression for the mean traces, which enables us to prove that the series converges if and only if the system's dimension $m\\le2$, in spite of the fact that Lubkin's proposed approximation for the entropy is now known to be correct.
Diffusion theory The mean and variance function for discrete processes
Tufto, Jarle
and = var(St). It is well known that this approximation is remarkably good, even for moderate values of t that are continuous in the state variable as well as in time. The properties of such processes will be completely, which means that the form of the distribution of the St has practically no effect on the process Xt
Parametrization of light clusters within relativistic mean field models
Ferreira, Marcio; Providencia, Constanca [Centro de Fisica Computacional, Department of Physics, University of Coimbra, P-3004-516 Coimbra (Portugal)
2013-06-10T23:59:59.000Z
Light clusters are included in the equation of state of nuclearmatter within the relativistic mean field theory. The effect of the cluster-meson coupling constants on the dissolution density is discussed. Theoretical and experimental constraints are used to fix the cluster-meson couplings at T Almost-Equal-To 5 MeV.
Origin State Destination State
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
5. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama...
Origin State Destination State
Gasoline and Diesel Fuel Update (EIA)
6. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama...
K-means on Azure Matthieu Durut
Rossi, Fabrice
K-means on Azure Matthieu Durut Lokad 70, rue Lemercier, 75018 Paris Â France matthieu the speedups of a parallel k-means algorithm obtained on up to 200 processing units. 1 Parallel K-means This paper uses the k-means clustering algorithm as a typical example of machine learning methods
Del Norte means north to recycling
Aquino, J.T.
1998-06-01T23:59:59.000Z
Del Norte Regional Recycling and Transfer Station is owned by the city of Oxnard, California and operated by BLT Enterprises, Inc. The Del Norte facility--located in southwestern Ventura County about an hour northwest of Los Angeles--processes polyethylene terephthalate (PET) and high-density polyethylene (HDPE) plastic containers, aluminum, steel, glass, old corrugated containers (OCC), newspapers, computer printout paper, white and colored ledger paper, coated book, supermix paper, telephone books, and old magazines. According to the company, there has been virtually no community opposition to the site. The facility has few neighbors, and those are agricultural. To keep the community relationship strong, the facility`s design and location all but eliminated odor and noise complaints. The building was designed against the prevailing wind pattern, and BLT processes odorous material fast. A misting system installed for dust suppression also can be used with a solution for odor control should the need arise.
Spurious Shell Closures in the Relativistic Mean Field Model
L. S. Geng; J. Meng; H. Toki; W. H. Long; G. Shen
2006-03-10T23:59:59.000Z
Following a systematic theoretical study of the ground-state properties of over 7000 nuclei from the proton drip line to the neutron drip line in the relativistic mean field model [Prog. Theor. Phys. 113 (2005) 785], which is in fair agreement with existing experimental data, we observe a few spurious shell closures, i.e. proton shell closures at Z=58 and Z=92. These spurious shell closures are found to persist in all the effective forces of the relativistic mean field model, e.g. TMA, NL3, PKDD and DD-ME2.
The role of literal meaning in metaphor
Coleman, Martin Allen
1996-01-01T23:59:59.000Z
Examining literal meaning and the role it plays in the explanation of metaphor shows that the concept of meaning by itself is not powerful enough to answer questions about using and comprehending metaphorical utterances. A full theory...
Quantum root-mean-square error and measurement uncertainty relations
Paul Busch; Pekka Lahti; Reinhard F Werner
2014-10-10T23:59:59.000Z
Recent years have witnessed a controversy over Heisenberg's famous error-disturbance relation. Here we resolve the conflict by way of an analysis of the possible conceptualizations of measurement error and disturbance in quantum mechanics. We discuss two approaches to adapting the classic notion of root-mean-square error to quantum measurements. One is based on the concept of noise operator; its natural operational content is that of a mean deviation of the values of two observables measured jointly, and thus its applicability is limited to cases where such joint measurements are available. The second error measure quantifies the differences between two probability distributions obtained in separate runs of measurements and is of unrestricted applicability. We show that there are no nontrivial unconditional joint-measurement bounds for {\\em state-dependent} errors in the conceptual framework discussed here, while Heisenberg-type measurement uncertainty relations for {\\em state-independent} errors have been proven.
Chimera death induced by the mean-field diffusive coupling
Tanmoy Banerjee
2014-09-28T23:59:59.000Z
Recently a novel dynamical state, called the {\\it chimera death}, is discovered in a network of non locally coupled identical oscillators [A. Zakharova, M. Kapeller, and E. Sch\\"oll, Phy.Rev.Lett. 112, 154101 (2014)], which is defined as the coexistence of spatially coherent and incoherent oscillation death state. This state arises due to the interplay of non locality and symmetry breaking and thus bridges the gap between two important dynamical states, namely the chimera and oscillation death. In this paper we show that the chimera death can be induced in a network of generic identical oscillators with mean-field diffusive coupling and thus we establish that a non local coupling is not essential to obtain chimera death. We identify a new transition route to the chimera death state, namely the transition from in-phase synchronized oscillation to chimera death via global amplitude death state. We ascribe the occurrence of chimera death to the bifurcation structure of the network in the limiting condition and show that multi-cluster chimera death states can be achieved by a proper choice of initial conditions.
Scalable k-means statistics with Titan.
Thompson, David C.; Bennett, Janine C.; Pebay, Philippe Pierre
2009-11-01T23:59:59.000Z
This report summarizes existing statistical engines in VTK/Titan and presents both the serial and parallel k-means statistics engines. It is a sequel to [PT08], [BPRT09], and [PT09] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, and contingency engines. The ease of use of the new parallel k-means engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the k-means engine.
Noisy k-means The algorithm of noisy k-means
Paris-Sud XI, Université de
Noisy k-means The algorithm of noisy k-means Camille Brunet camille.brunet@univ-angers.fr LAREMA-step procedure: (1) a deconvolution step to deal with noisy inputs and (2) Newton's iterations as the popular k-means. Keywords: Clustering, Deconvolution, Lloyd algorithm, Fast Fourier Transform, Noisy k-means. 1
Some Extensions of the K-Means Algorithm for Image Segmentation and Pattern Classification
Marroquin, Jose L.
1993-01-01T23:59:59.000Z
In this paper we present some extensions to the k-means algorithm for vector quantization that permit its efficient use in image segmentation and pattern classification tasks. It is shown that by introducing state ...
Lucien Hardy
2012-06-14T23:59:59.000Z
In this paper we consider theories in which reality is described by some underlying variables. Each value these variables can take represents an ontic state (a particular state of reality). The preparation of a quantum state corresponds to a distribution over the ontic states. If we make three basic assumptions, we can show that the distributions over ontic states corresponding to distinct pure states are non-overlapping. This means that we can deduce the quantum state from a knowledge of the ontic state. Hence, if these assumptions are correct, we can claim that the quantum state is a real thing (it is written into the underlying variables that describe reality). The key assumption we use in this proof is ontic indifference - that quantum transformations that do not affect a given pure quantum state can be implemented in such a way that they do not affect the ontic states in the support of that state. In fact this assumption is violated in the Spekkens toy model (which captures many aspects of quantum theory and in which different pure states of the model have overlapping distributions over ontic states). This paper proves that ontic indifference must be violated in any model reproducing quantum theory in which the quantum state is not a real thing. The argument presented in this paper is different from that given in a recent paper by Pusey, Barrett, and Rudolph. It uses a different key assumption and it pertains to a single copy of the system in question.
Shell Model and Mean-Field Description of Band Termination
M. Zalewski; W. Satula; W. Nazarewicz; G. Stoitcheva; H. Zdunczuk
2007-01-09T23:59:59.000Z
We study nuclear high-spin states undergoing the transition to the fully stretched configuration with maximum angular momentum I_max within the space of valence nucleons. To this end, we perform a systematic theoretical analysis of non-fully-stretched I_max-2 and I_max-1 f_{7/2}^n seniority isomers and d_{3/2}^{-1} f_{7/2}^{n+1} intruder states in the A~44 nuclei from the lower-fp shell. We employ two theoretical approaches: (i) the density functional theory based on the cranked self-consistent Skyrme-Hartree-Fock method, and (ii) the nuclear shell model in the full sdfp configuration space allowing for 1p-1h cross-shell excitations. We emphasize the importance of restoration of broken angular momentum symmetry inherently obscuring the mean-field treatment of high-spin states. Overall good agreement with experimental data is obtained.
Fournier, Sean Donovan; Beall, Patrick S [Sandia National Laboratories, Livermore, CA; Miller, Mark L.
2014-08-01T23:59:59.000Z
Through the SNL New Mexico Small Business Assistance (NMSBA) program, several Sandia engineers worked with the Environmental Restoration Group (ERG) Inc. to verify and validate a novel algorithm used to determine the scanning Critical Level (L c ) and Minimum Detectable Concentration (MDC) (or Minimum Detectable Areal Activity) for the 102F scanning system. Through the use of Monte Carlo statistical simulations the algorithm mathematically demonstrates accuracy in determining the L c and MDC when a nearest-neighbor averaging (NNA) technique was used. To empirically validate this approach, SNL prepared several spiked sources and ran a test with the ERG 102F instrument on a bare concrete floor known to have no radiological contamination other than background naturally occurring radioactive material (NORM). The tests conclude that the NNA technique increases the sensitivity (decreases the L c and MDC) for high-density data maps that are obtained by scanning radiological survey instruments.
Mean Width of a Regular Simplex
Finch, Steven R
2011-01-01T23:59:59.000Z
The mean width is a measure on n-dimensional convex bodies. An integral formula for the mean width of a regular n-simplex appeared in the electrical engineering literature in 1997. As a consequence, expressions for the expected range of a sample of n+1 normally distributed variables, for ninfty.
Representation of State Property Systems
Diederik Aerts; Sylvia Pulmannova
2008-11-15T23:59:59.000Z
A 'state property system' is the mathematical structure which models an arbitrary physical system by means of its set of states, its set of properties, and a relation of 'actuality of a certain property for a certain state'. We work out a new axiomatization for standard quantum mechanics, starting with the basic notion of state property system, and making use of a generalization of the standard quantum mechanical notion of 'superposition' for state property systems.
The Future of Electric Vehicles and Arizona State University...
Broader source: Energy.gov (indexed) [DOE]
State University | Photo Credit Arizona State University Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? EV batteries will...
Perspective unconventional means for nuclear reactor control
Ionaitis, R.R.
1993-12-31T23:59:59.000Z
The concept of reliable shutdown of nuclear reactors demands application of engineering control means on the basis of principles, safety, safe failure, redundancy, independence, variety, defence in depth, and intrinsical safety. This report describes application of control methods.
Goldschmidt, Christina
The Meaning of Cell Genealogy The meaning of stem The meaning of Zygote, Mitotic ages and Genome Data Methods Applica Somatic Cell Genealogies and Differentiation Olina Geofrey Martijn African Institute for Mathematical Sciences 2008 #12;The Meaning of Cell Genealogy The meaning of stem The meaning
The driven overdamped mean field model Non-eq. free energies for the mean field model
Dauxois, Thierry
The driven overdamped mean field model Non-eq. free energies for the mean field model Large deviations for turbulent flows Non-Equilibrium Free Energies for Particle Systems and Turbulent Flows F Treilles. F. Bouchet ENSL-CNRS Non-Equilibrium Free Energies #12;The driven overdamped mean field model Non
Neutron stars in the BPS Skyrme model: mean-field limit vs. full field theory
Adam, C; Sanchez-Guillen, J; Vazquez, R; Wereszczynski, A
2015-01-01T23:59:59.000Z
Using a solitonic model of nuclear matter, the BPS Skyrme model, we compare neutron stars obtained in the full field theory, where gravitational back reaction is completely taken into account, with calculations in a mean-field approximation using the Tolman-Oppenheimer-Volkoff approach. In the latter case, a mean-field-theory equation of state is derived from the original BPS field theory. We show that in the full field theory, where the energy density is non-constant even at equilibrium, there is no universal and coordinate independent equation of state of nuclear matter, in contrast to the mean-field approximation. We also study how neutron star properties are modified by going beyond mean field theory, and find that the differences between mean field theory and exact results can be considerable.
Method for chemically analyzing a solution by acoustic means
Beller, L.S.
1997-04-22T23:59:59.000Z
A method and apparatus are disclosed for determining a type of solution and the concentration of that solution by acoustic means. Generally stated, the method consists of: immersing a sound focusing transducer within a first liquid filled container; locating a separately contained specimen solution at a sound focal point within the first container; locating a sound probe adjacent to the specimen, generating a variable intensity sound signal from the transducer; measuring fundamental and multiple harmonic sound signal amplitudes; and then comparing a plot of a specimen sound response with a known solution sound response, thereby determining the solution type and concentration. 10 figs.
Method for chemically analyzing a solution by acoustic means
Beller, Laurence S. (Idaho Falls, ID)
1997-01-01T23:59:59.000Z
A method and apparatus for determining a type of solution and the concention of that solution by acoustic means. Generally stated, the method consists of: immersing a sound focusing transducer within a first liquid filled container; locating a separately contained specimen solution at a sound focal point within the first container; locating a sound probe adjacent to the specimen, generating a variable intensity sound signal from the transducer; measuring fundamental and multiple harmonic sound signal amplitudes; and then comparing a plot of a specimen sound response with a known solution sound response, thereby determining the solution type and concentration.
Status of State Electric Industry Restructuring Activity
Reports and Publications (EIA)
2010-01-01T23:59:59.000Z
Presents an overview of the status of electric industry restructuring in each state. Restructuring means that a monopoly system of electric utilities has been replaced with competing sellers.
Measuring switching processes in financial markets with the Mean-Variance spin glass approach
Jurczyk, Jan
2015-01-01T23:59:59.000Z
In this article we use the Mean-Variance Model in order to measure the current market state. In our study we take the approach of detecting the overall alignment of portfolios in the spin picture. The projection to the ground-states enables us to use physical observables in order to describe the current state of the explored market. The defined magnetization of portfolios shows cursor effects, which we use to detect turmoils.
Quantum insulating states of F=2 cold atoms in optical lattices
Fei Zhou; Gordon W. Semenoff
2006-11-09T23:59:59.000Z
In this Letter we study various spin correlated insulating states of F=2 cold atoms in optical lattices. We find that the effective spin exchange interaction due to virtual hopping contains an {\\em octopole} coupling between two neighboring lattice sites. Depending on scattering lengths and numbers of particles per site the ground states are either rotationally invariant dimer or trimer Mott insulators or insulating states with various spin orders. Three spin ordered insulating phases are ferromagnetic, cyclic and nematic Mott insulators. We estimate the phase boundaries for states with different numbers of atoms per lattice site.
Mean field theory of assortative networks of phase oscillators
Juan G. Restrepo; Edward Ott
2014-09-05T23:59:59.000Z
Employing the Kuramoto model as an illustrative example, we show how the use of the mean field approximation can be applied to large networks of phase oscillators with assortativity. We then use the ansatz of Ott and Antonsen [Chaos 19, 037113 (2008)] to reduce the mean field kinetic equations to a system of ordinary differential equations. The resulting formulation is illustrated by application to a network Kuramoto problem with degree assortativity and correlation between the node degrees and the natural oscillation frequencies. Good agreement is found between the solutions of the reduced set of ordinary differential equations obtained from our theory and full simulations of the system. These results highlight the ability of our method to capture all the phase transitions (bifurcations) and system attractors. One interesting result is that degree assortativity can induce transitions from a steady macroscopic state to a temporally oscillating macroscopic state through both (presumed) Hopf and SNIPER (saddle-node, infinite period) bifurcations. Possible use of these techniques to a broad class of phase oscillator network problems is discussed.
An Explanation for Beta's Mean-reversion
Bodkin, Connor Matthew
2013-09-26T23:59:59.000Z
-reversion in beta values. They find that 26 companies do not have a constant beta and that 14 of the non-constant betas are mean reverting. Their model is the modified Kalman filter that Harvey et al. (1992) developed. De Bondt and Thaler’s paper finds...
SURGEURGEAnd Move Planning Manual WHAT IT MEANS
Doudna, Jennifer A.
SURGEURGEAnd Move Planning Manual A GUIDE ON WHAT IT MEANS TO SURGE, HOW LONG IT WILL TAKE AND THE BEST WAY TO GET THROUGH IT Produced by: University of California, Berkeley Capital Projects #12 Manual describes the surge planning process and provides an overview of roles and responsibilities
The mean molecular mass of Titan's atmosphere
Withers, Paul
, Mars, Mars #12;Science Questions · Mean molecular mass (µ) -> Chemical composition · How did Titan form? · Current reservoirs of volatiles · Ethane/methane puddles/ocean · Thermal structure of atmosphere #12, delicate, etc T/p sensors are simple, cheap, reliable · Is it possible to know µ based on simple
REPORTED JOB SATISFACTION: WHAT DOES IT MEAN?
Paris-Sud XI, Université de
1 REPORTED JOB SATISFACTION: WHAT DOES IT MEAN? Louis Lévy-Garboua TEAM (CNRS), University of Paris or regret, i.e. the difference between what happened and what might have happened, on job satisfaction. The main prediction that we test is that job satisfaction correlates with the wage gaps experienced
Bayesian Prediction of Mean Indoor Radon Concentrations for Minnesota Counties
Price, P.N.; Nero, A.V.; Gelman, A.
1995-08-01T23:59:59.000Z
Past efforts to identify areas having higher than average indoor radon concentrations by examining the statistical relationship between local mean concentrations and physical parameters such as the soil radium concentration have been hampered by the noise in local means caused by the small number of homes monitored in some or most areas, In the present paper, indoor radon data from a survey in Minnesota are analyzed in such a way as to minimize the effect of finite sample size within counties, in order to determine the true county-to-county variation of indoor radon concentrations in the state and the extent to which this variation is explained by the variation in surficial radium concentration among counties, The analysis uses hierarchical modeling, in which some parameters of interest (such as county geometric mean (GM) radon concentrations) are assumed to be drawn from a single population, for which the distributional parameters are estimated from the data. Extensions of this technique, known as a random effects regression and mixed effects regression, are used to determine the relationship between predictive variables and indoor radon concentrations; the results are used to refine the predictions of each county's radon levels, resulting in a great decrease in uncertainty. The true county-to-county variation of GM radon levels is found to be substantially less than the county-to-county variation of the observed GMs, much of which is due to the small sample size in each county. The variation in the logarithm of surficial radium content is shown to explain approximately 80% of the variation of the logarithm of GM radon concentration among counties. The influences of housing and measurement factors, such as whether the monitored home has a basement and whether the measurement was made in a basement, are also discussed. This approach offers a self-consistent statistical method for predicting the mean values of indoor radon concentrations or other geographically distributed environmental parameters.
Pennsylvania Institute of State and Regional Affairs
Maroncelli, Mark
SDCPa Pennsylvania State Data Center Institute of State and Regional Affairs Penn State Harrisburg 777 W. Harrisburg Pike Middletown, PA 17057-4898 Phone: (717) 948-6336 Fax: (717) 948-6754 E-mail: Pa in Pennsylvania since it was established at Penn State Harrisburg in 1973. The Institute was created as a means
Construction What Does it Mean To Me?What Does it Mean To Me?
Wechsler, Risa H.
The LCLS Construction Project: What Does it Mean To Me?What Does it Mean To Me? #12;Construction Site Interstate 280 SLAC Front Gate Construction Traffic 0 100 200 VehiclesperDay Months During Construction 2006-2008 LCLS Construction Traffic Cars Trucks 300 Sept.-N ov. D ec.-Feb.M arch-M ay June-O ct. N
Infrared bound and mean-field behaviour in the quantum Ising model
Jakob E. Björnberg
2013-01-08T23:59:59.000Z
We prove an infrared bound for the transverse field Ising model. This bound is stronger than the previously known infrared bound for the model, and allows us to investigate mean-field behaviour. As an application we show that the critical exponent $\\gamma$ for the susceptibility attains its mean-field value $\\gamma=1$ in dimension at least 4 (positive temperature), respectively 3 (ground state), with logarithmic corrections in the boundary cases.
Hierarchical k-Means for Unsupervised Learning Harry Gifford
Treuille, Adrien
Hierarchical k-Means for Unsupervised Learning Harry Gifford Carnegie Mellon University Abstract In this paper we investigate how to accelerate k-means based unsupervised learning algorithms with hierar- chical k-means. We show that hierarchical k-means significantly speeds up k-means based learning
Surface Mean-Square Amplitudes of Vibration for Nacl
CHEN, TS; Alldredg, GP; Allen, Roland E.; WETTE, FWD.
1972-01-01T23:59:59.000Z
to interact through a pair potential which consists of a point- charge Coulomb potential and a nearest-neighbor Born-Mayer potential; the polarizabilities of the ions are neglected. The surface-mode spectra for the KRI model and for a shell model, which... between our evaluation of the dynamical matrix and that of Ref. 2 involves the method for calculating the Coulomb lattice sums. This matter is discussed in detail elsewhere. In brief, we find that the method of de Wette and Schacher, ' which involves...
Quantum computing with mixed states
Michael Siomau; Stephan Fritzsche
2011-01-17T23:59:59.000Z
We discuss a model for quantum computing with initially mixed states. Although such a computer is known to be less powerful than a quantum computer operating with pure (entangled) states, it may efficiently solve some problems for which no efficient classical algorithms are known. We suggest a new implementation of quantum computation with initially mixed states in which an algorithm realization is achieved by means of optimal basis independent transformations of qubits.
Quantum computing with mixed states
Siomau, Michael
2011-01-01T23:59:59.000Z
We discuss a model for quantum computing with initially mixed states. Although such a computer is known to be less powerful than a quantum computer operating with pure (entangled) states, it may efficiently solve some problems for which no efficient classical algorithms are known. We suggest a new implementation of quantum computation with initially mixed states in which an algorithm realization is achieved by means of optimal basis independent transformations of qubits.
GSOD Based Daily Global Mean Surface Temperature and Mean Sea Level Air Pressure (1982-2011)
Xuan Shi, Dali Wang
2014-05-05T23:59:59.000Z
This data product contains all the gridded data set at 1/4 degree resolution in ASCII format. Both mean temperature and mean sea level air pressure data are available. It also contains the GSOD data (1982-2011) from NOAA site, contains station number, location, temperature and pressures (sea level and station level). The data package also contains information related to the data processing methods
GSOD Based Daily Global Mean Surface Temperature and Mean Sea Level Air Pressure (1982-2011)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Xuan Shi, Dali Wang
This data product contains all the gridded data set at 1/4 degree resolution in ASCII format. Both mean temperature and mean sea level air pressure data are available. It also contains the GSOD data (1982-2011) from NOAA site, contains station number, location, temperature and pressures (sea level and station level). The data package also contains information related to the data processing methods
Fast k-means algorithm clustering
Salman, Raied; Li, Qi; Strack, Robert; Test, Erik
2011-01-01T23:59:59.000Z
k-means has recently been recognized as one of the best algorithms for clustering unsupervised data. Since k-means depends mainly on distance calculation between all data points and the centers, the time cost will be high when the size of the dataset is large (for example more than 500millions of points). We propose a two stage algorithm to reduce the time cost of distance calculation for huge datasets. The first stage is a fast distance calculation using only a small portion of the data to produce the best possible location of the centers. The second stage is a slow distance calculation in which the initial centers used are taken from the first stage. The fast and slow stages represent the speed of the movement of the centers. In the slow stage, the whole dataset can be used to get the exact location of the centers. The time cost of the distance calculation for the fast stage is very low due to the small size of the training data chosen. The time cost of the distance calculation for the slow stage is also mi...
Coupling of actin hydrolysis and polymerization: Reduced description with two nucleotide states
Xin Li; Reinhard Lipowsky; Jan Kierfeld
2011-02-10T23:59:59.000Z
The polymerization of actin filaments is coupled to the hydrolysis of adenosine triphosphate (ATP), which involves both the cleavage of ATP and the release of inorganic phosphate. We describe hydrolysis by a reduced two-state model with a cooperative cleavage mechanism, where the cleavage rate depends on the state of the neighboring actin protomer in a filament. We obtain theoretical predictions of experimentally accessible steady state quantities such as the size of the ATP-actin cap, the size distribution of ATP-actin islands, and the cleavage flux for cooperative cleavage mechanisms.
Identification marking by means of laser peening
Hackel, Lloyd A. (Livermore, CA); Dane, C. Brent (Livermore, CA); Harris, Fritz (Rocklin, CA)
2002-01-01T23:59:59.000Z
The invention is a method and apparatus for marking components by inducing a shock wave on the surface that results in an indented (strained) layer and a residual compressive stress in the surface layer. One embodiment of the laser peenmarking system rapidly imprints, with single laser pulses, a complete identification code or three-dimensional pattern and leaves the surface in a state of deep residual compressive stress. A state of compressive stress in parts made of metal or other materials is highly desirable to make them resistant to fatigue failure and stress corrosion cracking. This process employs a laser peening system and beam spatial modulation hardware or imaging technology that can be setup to impress full three dimensional patterns into metal surfaces at the pulse rate of the laser, a rate that is at least an order of magnitude faster than competing marking technologies.
Going and going : a contemporary search for meaning
Alvarado Beltrán, Elba Fabiola
2012-01-01T23:59:59.000Z
Meaning provides the individual with a sense of a purpose to live, being himself, and feeling at ease. Finding meaning on a daily basis is paramount. Yet, the search is constant since meaning is lost and regained persistently. ...
K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means
Phoha, Vir V.
K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID. Balagani Abstract--In this paper, we present "K-Means+ID3," a method to cascade k-Means clustering network, an active electronic circuit, and a mechanical mass- beam system. The k-Means clustering method
Mean-field Ohm's law and coaxial helicity injection in force-free plasmas
Weening, R. H. [Department of Radiologic Sciences, Thomas Jefferson University, 130 S. 9th Street, Philadelphia, Pennsylvania 19107-5233 (United States)
2011-12-15T23:59:59.000Z
A theoretical analysis of steady-state coaxial helicity injection (CHI) in force-free plasmas is presented using a parallel mean-field Ohm's law that includes resistivity {eta} and hyper-resistivity {Lambda} terms. Using Boozer coordinates, a partial differential equation is derived for the time evolution of the mean-field poloidal magnetic flux, or magnetic Hamiltonian function, from the parallel mean-field Ohm's law. A general expression is obtained from the mean-field theory for the efficiency of CHI current drive in force-free plasmas. Inductances of internal energy, magnetic helicity, and poloidal magnetic flux are used to characterize axisymmetric plasma equilibria that have a model current profile. Using the model current profile, a method is suggested to determine the level of magnetohydrodynamic activity at the magnetic axis and the consequent deviation from the completely relaxed Taylor state. The mean-field Ohm's law model suggests that steady-state CHI can be viewed most simply as a boundary layer problem.
Dosimetry by means of the radiation reduction of hemin in aprotic solvents. Final report
McLaughlin, W.L.; Simic, M.G.; Miller, A.
1982-01-01T23:59:59.000Z
Iron (III) porphyrins when dissolved in certain polar organic solvents are reduced by ionizing radiation. This results in a stable shift of both the Soret (B) and visible (Q) absorption bands, as long as the solution is maintained in a deaerated state, thus affording a means of radiation dosimetry.
Relativistic mean field plus exact pairing approach to open shell nuclei
Wei-Chia Chen; J. Piekarewicz; A. Volya
2013-11-20T23:59:59.000Z
Background: Pairing correlations play a critical role in determining numerous properties of open-shell nuclei. Traditionally, they are included in a mean-field description of atomic nuclei through the approximate Bardeen-Cooper-Schrieffer or Hartree-Fock-Bogoliubov formalism. Purpose: We propose a new hybrid ''relativistic-mean-field-plus-pairing'' approach in which pairing is treated exactly so the number of particles is conserved. To verify the reliability of the formalism, we apply it to the study of both ground-state properties and isoscalar monopole excitations of the Tin isotopes. Methods: Accurately-calibrated relativistic mean-field models supplemented by an exact treatment of pairing correlations are used to compute ground-state observables along the isotopic chain in Tin. In turn, ground-state densities are used as input to the calculation of giant monopole resonances through a constrained-relativistic approach. Results: We compute a variety of ground-state observables sensitive to pairing correlations as well as the evolution of giant monopole energies along the isotopic chain in Tin. Whereas ground-state properties are consistent with experiment, we find that pairing correlations have a minor effect on the giant monopole energies. Conclusions: A new mean-field-plus-pairing approach is introduced to compute properties of open-shell nuclei. The formalism provides an efficient and powerful alternative to the computation of both ground-state properties and monopole energies of open-shell nuclei. We find ground-state properties to be well reproduced in this approach. However, as many have concluded before us, we find that pairing correlations are unlikely to provide an answer to the question of ''why is Tin so soft?''
Cartesian k-means Mohammad Norouzi David J. Fleet
Jepson, Allan D.
Cartesian k-means Mohammad Norouzi David J. Fleet Department of Computer Science University the k-means clustering algorithm is the storage and run- time cost associated with the large numbers of centers. We formulate two such models, Orthogonal k-means and Cartesian k-means. They are closely related
Secure Two-Party k-Means Clustering Rafail Ostrovsky
Ostrovsky, Rafail
Secure Two-Party k-Means Clustering Paul Bunn Rafail Ostrovsky Abstract The k-Means Clustering. To date there have been numerous attempts to create specific multiparty k-means clustering protocols a Two-Party k-Means Clustering Protocol that guarantees privacy, and is more efficient than utilizing
Continuous k-Means Monitoring over Moving Objects
Papadias, Dimitris
Continuous k-Means Monitoring over Moving Objects Zhenjie Zhang, Yin Yang, Anthony K.H. Tung, and Dimitris Papadias Abstract-- Given a dataset P, a k-means query returns k points in space (called centers study continuous k-means computation at a server that monitors a set of moving objects. Re-evaluating k-means
Beyond the mean field in the particle-vibration coupling scheme
Baldo, M; Colo', G; Rizzo, D; Sciacchitano, L
2015-01-01T23:59:59.000Z
The Energy Density Functional theory is one of the most used methods developed in nuclear structure. It is based on the assumption that the energy of the ground state is a functional only of the density profile. The method is extremely successful within the effective force approach, noticeably the Skyrme or Gogny forces, in reproducing the nuclear binding energies and other bulk properties along the whole mass table. Although the Density Functional is in this case represented formally as the Hartree-Fock mean field of an effective force, the corresponding single-particle states in general do not reproduce the phenomenology particularly well. To overcome this difficulty, a strategy has been developed where the effective force is adjusted to reproduce directly the single particle energies, trying to keep the ground state energy sufficiently well reproduced. An alternative route, that has been developed along several years, for solving this problem is to introduce the mean field fluctuations, as represented by t...
De finetti theorems, mean-field limits and bose-Einstein condensation
Nicolas Rougerie
2015-06-17T23:59:59.000Z
These notes deal with the mean-field approximation for equilibrium states of N-body systems in classical and quantum statistical mechanics. A general strategy for the justification of effective models based on statistical independence assumptions is presented in details. The main tools are structure theorems {\\`a} la de Finetti, describing the large N limits of admissible states for these systems. These rely on the symmetry under exchange of particles, due to their indiscernability. Emphasis is put on quantum aspects, in particular the mean-field approximation for the ground states of large bosonic systems, in relation with the Bose-Einstein condensation phenomenon. Topics covered in details include: the structure of reduced density matrices for large bosonic systems, Fock-space localization methods, derivation of effective energy functionals of Hartree or non-linear Schr{\\"o}dinger type, starting from the many-body Schr{\\"o}dinger Hamiltonian.
Dynamics of Singular Vectors in the Semi-Infinite Eady Model: Nonzero but Zero Mean PV Gradient
de Vries, Hylke
Dynamics of Singular Vectors in the Semi-Infinite Eady Model: Nonzero but Zero Mean PV Gradient H approach based on the potential vorticity (PV) perspective is used to compute the singular vector (SV. The basic-state buoyancy frequency and zonal wind profile are chosen such that the basic-state PV gradient
Office of Legacy Management (LM)
- I United States Department of Energy D lSCk Al M E R "This book was prepared as an account of work sponsored by an agency of the United States Government. Neither the United...
Probabilistic grammar induction from sentences and structured meanings
Kwiatkowski, Thomas Mieczyslaw
2012-06-25T23:59:59.000Z
The meanings of natural language sentences may be represented as compositional logical-forms. Each word or lexicalised multiword-element has an associated logicalform representing its meaning. Full sentential logical-forms ...
Sereda, Yuriy V.; Ortoleva, Peter J., E-mail: ortoleva@indiana.edu [Department of Chemistry, Indiana University, 800 E. Kirkwood Ave., Bloomington, Indiana 47405 (United States)
2014-04-07T23:59:59.000Z
A closed kinetic equation for the single-particle density of a viscous simple liquid is derived using a variational method for the Liouville equation and a coarse-grained mean-field (CGMF) ansatz. The CGMF ansatz is based on the notion that during the characteristic time of deformation a given particle interacts with many others so that it experiences an average interaction. A trial function for the N-particle probability density is constructed using a multiscale perturbation method and the CGMF ansatz is applied to it. The multiscale perturbation scheme is based on the ratio of the average nearest-neighbor atom distance to the total size of the assembly. A constraint on the initial condition is discovered which guarantees that the kinetic equation is mass-conserving and closed in the single-particle density. The kinetic equation has much of the character of the Vlasov equation except that true viscous, and not Landau, damping is accounted for. The theory captures condensation kinetics and takes much of the character of the Gross-Pitaevskii equation in the weak-gradient short-range force limit.
Correlation analysis of mean global radiation values with mean brightness values for one year
Kolczynski, Edward Franklin
1971-01-01T23:59:59.000Z
quantities of global radiation, = kb. sin h i oi where i denotes the number of the month (1 to 12), Q. is the individual monthly quantity of global radiation, h . is the solar altitude relat- oi ed to noon of the middle day of the month, and k is the coei... which now exists in the data bank of this field. B. ~Db' t' The objective of the proposed research is to investigate a pos- sible relationship between global radiation, as measured from ground- based instruments, and mean brightness values...
An Efficient K-Means Clustering Algorithm Khaled Alsabti
Scheuermann, Peter
An Efficient K-Means Clustering Algorithm Khaled Alsabti Syracuse University Sanjay Ranka for perform- ing k-means clustering. It organizes all the patterns in a k-d tree structure such that one can the computational speed of the direct k-means algorithm by an order to two orders of magnitude in the total number
Accelerating Exact k-means Algorithms with Geometric Reasoning
Accelerating Exact k-means Algorithms with Geometric Reasoning Dan Pelleg Andrew Moore January 2000 #12;Keywords: computational geometry, classi cation, density estimation, kd- trees, clustering, K-means #12;Abstract We present new algorithms for the k-means clustering problem. They use the kd-tree data
Unsupervised Feature Selection for the k-means Clustering Problem
Drineas, Petros
Unsupervised Feature Selection for the k-means Clustering Problem Christos Boutsidis Department present a novel feature selection algorithm for the k-means clustering problem. Our algorithm any -approximate k-means algorithm ( 1) on the features selected using our method, we can find a (1
On the performance of bisecting K-means and PDDP *
Boley, Daniel
1 On the performance of bisecting K-means and PDDP * Sergio M. Savaresi and Daniel L. Boley 1 in the last two decades ([13]), in this paper we will focus on two techniques: Â· the bisecting K-means;2 K-means is probably the most celebrated and widely used clustering technique; hence it is the best
Scalable K-Means by Ranked Retrieval Andrei Broder
Cortes, Corinna
Scalable K-Means by Ranked Retrieval Andrei Broder Google 1600 Amphitheater Parkway Mountain View@google.com Srihari Venkatesan xAd 440 North Wolfe Road Sunnyvale, CA 94085 ABSTRACT The k-means clustering algorithm, a prohibitive cost when the number of clusters is large. In this paper we show how to reduce the cost of the k-means
k-Means has Polynomial Smoothed Complexity David Arthur
Al Hanbali, Ahmad
k-Means has Polynomial Smoothed Complexity David Arthur Department of Computer Science Stanford-- The k-means method is one of the most widely used clustering algorithms, drawing its popularity from its to close the gap between practical performance and theoretical analysis, the k-means method has been
Towards Explaining the Speed of k-Means Bodo Manthey
Al Hanbali, Ahmad
Towards Explaining the Speed of k-Means Bodo Manthey University of Twente, Department of Applied Mathematics P. O. Box 217, 7500 AE Enschede, The Netherlands b.manthey@utwente.nl The k-means method exponential worst-case running-time. To explain the speed of the k-means method, a smoothed analysis has been
Graph Based K-Means Clustering Laurent Galluccioa,c
Paris-Sud XI, Université de
Graph Based K-Means Clustering Laurent Galluccioa,c , Olivier Michelb , Pierre Comona , Alfred O the generalized Lloyd algorithm, also known as k-means, which circumvents its well known initialization problems for estimating of the number of clusters present and determining good centroid locations to initialize the k-means
The global k-means clustering algorithm Aristidis Likasa,
Paris-Sud XI, Université de
The global k-means clustering algorithm Aristidis Likasa, Nikos Vlassisb Jakob J. Verbeekb,jverbeek}@science.uva.nl Abstract We present the global k-means algorithm which is an incremental approach to clustering (with N being the size of the data set) executions of the k-means algorithm from suitable initial
Convergence of the k-Means Minimization Problem using -Convergence
Theil, Florian
Convergence of the k-Means Minimization Problem using -Convergence Matthew Thorpe1 , Florian Theil1-ES, Luton, LU1 3PG, United Kingdom Abstract The k-means method is an iterative clustering algorithm which space as the observed data. By relaxing this requirement, it is possible to apply the k-means method
Normalized k-means clustering of hyper-rectangles
Paris-Sud XI, Université de
Normalized k-means clustering of hyper-rectangles Marie Chavent Math´ematiques Appliqu´ees de-rectangles and their use in two normalized k-means clustering algorithms. Keywords: Interval data, Standardization [Diday, 1988], [Bock and Diday, 2000]. Several works on k-means clustering of interval data sets have
Stability of K-Means Clustering Alexander Rakhlin
Rakhlin, Alexander "Sasha"
Stability of K-Means Clustering Alexander Rakhlin Department of Computer Science UC Berkeley phrase K-means clustering as an empirical risk minimization procedure over a class HK and explicitly calculate the covering number for this class. Next, we show that stability of K-means clustering
Coming and Going: On the State Monopolization of the Legitimate Means of Movement
Torpey, John
1997-01-01T23:59:59.000Z
of the transition from feudalism to capitalism. The processcharacteristic of European feudalism (at least outside ofEngland). Feudalism was a system of obligations-of economic
Mean field theory and coherent structures for vortex dynamics on the plane
Chjan C. Lim
1999-04-20T23:59:59.000Z
We present a new derivation of the Onsager-Joyce-Montgomery (OJM) equilibrium statistical theory for point vortices on the plane, using the Bogoliubov-Feynman inequality for the free energy, Gibbs entropy function and Landau's approximation. This formulation links the heuristic OJM theory to the modern variational mean field theories. Landau's approximation is the physical counterpart of a large deviation result, which states that the maximum entropy state does not only have maximal probability measure but overwhelmingly large measure relative to other macrostates.
Rotating Bose-Einstein condensates: Closing the gap between exact and mean-field solutions
J. C. Cremon; A. D. Jackson; E. \\" O. Karabulut; G. M. Kavoulakis; B. R. Mottelson; S. M. Reimann
2015-01-22T23:59:59.000Z
When a Bose-Einstein condensed cloud of atoms is given some angular momentum, it forms vortices arranged in structures with a discrete rotational symmetry. For these vortex states, the Hilbert space of the exact solution separates into a "primary" space related to the mean-field Gross-Pitaevskii solution and a "complementary" space including the corrections beyond mean-field. Considering a weakly-interacting Bose-Einstein condensate of harmonically-trapped atoms, we demonstrate how this separation can be used to close the conceptual gap between exact solutions for systems with only a few atoms and the thermodynamic limit for which the mean-field is the correct leading-order approximation. Although we illustrate this approach for the case of weak interactions, it is expected to be more generally valid.
Performance of a 229 Thorium solid-state nuclear clock
Kazakov, G A; Romanenko, V I; Yatsenko, L P; Romanenko, A V; Schreitl, M; Winkler, G; Schumm, T
2012-01-01T23:59:59.000Z
The 7.8 eV nuclear isomer transition in 229 Thorium has been suggested as an etalon transition in a new type of optical frequency standard. Here we discuss the construction of a "solid-state nuclear clock" from Thorium nuclei implanted into single crystals transparent in the vacuum ultraviolet range. We investigate crystal-induced line shifts and broadening effects for the specific system of Calcium fluoride. At liquid Nitrogen temperatures, the clock performance will be limited by decoherence due to magnetic coupling of the Thorium nucleus to neighboring nuclear moments, ruling out the commonly used Rabi or Ramsey interrogation schemes. We propose a clock stabilization based on counting of flourescence photons and present optimized operation parameters. Taking advantage of the high number of quantum oscillators under continuous interrogation, a fractional instability level of 10^{-19} might be reached within the solid-state approach.
Performance of a 229 Thorium solid-state nuclear clock
G. A. Kazakov; A. N. Litvinov; V. I. Romanenko; L. P. Yatsenko; A. V. Romanenko; M. Schreitl; G. Winkler; T. Schumm
2012-10-02T23:59:59.000Z
The 7.8 eV nuclear isomer transition in 229 Thorium has been suggested as an etalon transition in a new type of optical frequency standard. Here we discuss the construction of a "solid-state nuclear clock" from Thorium nuclei implanted into single crystals transparent in the vacuum ultraviolet range. We investigate crystal-induced line shifts and broadening effects for the specific system of Calcium fluoride. At liquid Nitrogen temperatures, the clock performance will be limited by decoherence due to magnetic coupling of the Thorium nucleus to neighboring nuclear moments, ruling out the commonly used Rabi or Ramsey interrogation schemes. We propose a clock stabilization based on counting of flourescence photons and present optimized operation parameters. Taking advantage of the high number of quantum oscillators under continuous interrogation, a fractional instability level of 10^{-19} might be reached within the solid-state approach.
Beyond mean-field study of elastic and inelastic electron scattering off nuclei
J. M. Yao; M. Bender; P. -H. Heenen
2015-01-21T23:59:59.000Z
Electron scattering provides a powerful tool to determine charge distributions and transition densities of nuclei. This tool will soon be available for short-lived neutron-rich nuclei. [Purpose] Beyond mean-field methods have been successfully applied to the study of excitation spectra of nuclei in the whole nuclear chart. These methods permit to determine energies and transition probabilities starting from an effective in-medium nucleon-nucleon interaction but without other phenomenological ingredients. Such a method has recently been extended to calculate the charge density of nuclei deformed at the mean-field level of approximation [J. M. Yao et al., Phys. Rev. C86, 014310 (2012)]. The aim of this work is to further extend the method to the determination of transition densities between low-lying excited states. [Method] The starting point of our method is a set of Hartree-Fock-Bogoliubov wave functions generated with a constraint on the axial quadrupole moment and using a Skyrme energy density functional. Correlations beyond the mean field are introduced by projecting mean-field wave functions on angular-momentum and particle number and by mixing the symmetry restored wave functions.[Results] We give in this paper detailed formulae derived for the calculation of densities and form factors. These formulae are rather easy to obtain when both initial and final states are $0^+$ states but are far from being trivial when one of the states has a finite $J$-value. Illustrative applications to $^{24}$Mg and to the even-mass $^{58-68}$Ni have permitted to analyse the main features of our method, in particular the effect of deformation on densities and form factors. An illustration calculation of both elastic and inelastic scattering form factors is presented....
Vector Quantization: L'algorithme k-Means Frank NIELSEN
Nielsen, Frank
INF555 TD5 Vector Quantization: L'algorithme k-Means Frank NIELSEN nielsen@lix.polytechnique.fr 13 pixel en un point 3D Â´equivalent (r, g, b) dans l'espace des couleurs. Â· Implanter l'algorithme k-means points 3D des couleurs des pixels et les diffÂ´erentes itÂ´erations de l'algorithme k-means. Â· Utiliser l
Vector Quantization: L'algorithme k-Means Frank NIELSEN
Nielsen, Frank
INF555 TD5 Vector Quantization: L'algorithme k-Means Frank NIELSEN nielsen@lix.polytechnique.fr 12) dans l'espace des couleurs. Â· Implanter l'algorithme k-means pour trouver une table des couleurs couleurs des pixels et les diffÂ´erentes itÂ´erations de l'algorithme k-means. Â· Utiliser l'initialisation de
Robust seed selection algorithm for k-means type algorithms
Pavan, K Karteeka; Rao, A V Dattatreya; Sridhar, G R; 10.5121/ijcsit.2011.3513
2012-01-01T23:59:59.000Z
Selection of initial seeds greatly affects the quality of the clusters and in k-means type algorithms. Most of the seed selection methods result different results in different independent runs. We propose a single, optimal, outlier insensitive seed selection algorithm for k-means type algorithms as extension to k-means++. The experimental results on synthetic, real and on microarray data sets demonstrated that effectiveness of the new algorithm in producing the clustering results
Coherent state quantization of paragrassmann algebras
M. El Baz; R. Fresneda; J. P. Gazeau; Y. Hassouni
2011-12-30T23:59:59.000Z
By using a coherent state quantization of paragrassmann variables, operators are constructed in finite Hilbert spaces. We thus obtain in a straightforward way a matrix representation of the paragrassmann algebra. This algebra of finite matrices realizes a deformed Weyl-Heisenberg algebra. The study of mean values in coherent states of some of these operators lead to interesting conclusions.
Approximating K-means-type clustering via semidefinite programming
Jiming Peng
2005-04-22T23:59:59.000Z
Apr 22, 2005 ... Approximating K-means-type clustering via semidefinite ... Abstract: One of the fundamental clustering problems is to assign $n$ points into $k$ ...
Measuring Meaning on the World-Wide Web
Aerts, Diederik
2010-01-01T23:59:59.000Z
We introduce the notion of the 'meaning bound' of a word with respect to another word by making use of the World-Wide Web as a conceptual environment for meaning. The meaning of a word with respect to another word is established by multiplying the product of the number of webpages containing both words by the total number of webpages of the World-Wide Web, and dividing the result by the product of the number of webpages for each of the single words. We calculate the meaning bounds for several words and analyze different aspects of these by looking at specific examples.
Optimization Online - Performance-based regularization in mean ...
Gah-Yi Vahn
2014-11-03T23:59:59.000Z
Nov 3, 2014 ... Performance-based regularization in mean-CVaR portfolio optimization. Gah-Yi Vahn(gvahn ***at*** london.edu) Noureddine El ...
Fuel cell generator containing a gas sealing means
Makiel, Joseph M. (Monroeville, PA)
1987-01-01T23:59:59.000Z
A high temperature solid electrolyte electrochemical generator is made, operating with flowing fuel gas and oxidant gas, the generator having a thermal insulation layer, and a sealing means contacting or contained within the insulation, where the sealing means is effective to control the contact of the various gases utilized in the generator.
A Study of the Mean Field Approach to Knapsack Problems
Lunds Universitet,
with linear programming and mean field components is showed to further improve the performance and summations with more than 7 bits (including one sign bit). ffl Linear programming (LP) based on the simplex to multiple knapsacks and generalized assignment problems with Potts mean field equations governing
Ris0-R-828(EN) Practical Means for
Ris0-R-828(EN) Practical Means for Decontamination 9 Years after a Nuclear Accident Editors J. Roed Means for Decontamination 9 Years after a Nuclear Accident Editors J. Roed, K.G. Andersson, H. Prip Ris0) of the individual examined tech- niques for decontamination or dose reduction in various different types
Higher genus arithmetic-geometric means Frazer Jarvis
Jarvis, Frazer
, then there is no obvious canonical choice of the square root in the geometric mean. Nonetheless, Gauss was able to duplication formulae for genus 2 theta functions, enabling us to give a generalisation of Gauss's work In this paper, we recall the notion of arithmetic-geometric mean (AGM), due to Gauss, and suggest a definition
Guang-Hua Liu; Wei Li; Wen-Long You; Guang-Shan Tian; Gang Su
2012-06-02T23:59:59.000Z
The matrix product state (MPS) is utilized to study the ground state properties and quantum phase transitions (QPTs) of the one-dimensional quantum compass model (QCM). The MPS wavefunctions are argued to be very efficient descriptions of QCM ground states, and are numerically determined by imaginary time projections. The ground state energy, correlations, quantum entanglement and its spectrum, local and nonlocal order parameters, etc., are calculated and studied in details. It is revealed that the bipartite and block entanglement entropies, as well as the nearest neighbor correlation functions can be used to detect the second-order QPTs, but not the first-order ones, while fidelity detections can recognize both. The entanglement spectrum is extracted from the MPS wavefunction, and found to be doubly degenerate in disordered phases of QCM, where non-local string order parameters exist. Moreover, with linearized tensor renormalization group method, the specific heat curves are evaluated and their low temperature behaviors are investigated.
Quantum State Transfer in a Two-dimensional Regular Spin Lattice of Triangular Shape
Hiroshi Miki; Satoshi Tsujimoto; Luc Vinet; Alexei Zhedanov
2012-03-12T23:59:59.000Z
Quantum state transfer in a triangular domain of a two-dimensional, equally-spaced, spin lat- tice with non-homogeneous nearest-neighbor couplings is analyzed. An exact solution of the one- excitation dynamics is provided in terms of 2-variable Krawtchouk orthogonal polynomials that have been recently defined. The probability amplitude for an excitation to transit from one site to another is given. For some values of the parameters, perfect transfer is shown to take place from the apex of the lattice to the boundary hypotenuse.
Harmonic mean, the Gamma factor and Speed of Light
Chandru Iyer
2008-11-17T23:59:59.000Z
The relationship between the harmonic mean and special relativity is concisely elucidated. The arguments in favor and against SRT are explored. It is shown that the ratio of the speed of light to the harmonic mean of the onward and return speeds of light in a moving frame under Newtonian mechanics, when equitably distributed between space and time as a correction, leads to the Lorentz transformation. This correction implies an apparent contraction of objects and time dilation. However, the symmetry of the onward and inverse transformations give a different meaning to the gamma factor
arXiv:cond-mat/0410750v128Oct2004 A fully fermionic mean field theory of the cuprate superconductors
Wen, Xiao-Gang
fermion) and a holon (a spin-0 charged boson). The spin-charge separation phenomenon corresponds to the rapid decay of an electron excitation into a spinon and a holon, leading to the lack of quasiparticle points means that, in this k-space region, the spinon and the holon form a bound state. [12, 13] Within
Johnson, Michael T.
Distributed multichannel speech enhancement with minimum mean-square error short-time spectral Keywords: Acoustic arrays Speech enhancement Amplitude estimation Phase estimation Parameter estimation a b on the development and implementation of speech enhancement algorithms. Whereas the current state-of-the-art methods
Mean-eld theory of learning: from dynamics to statics K. Y. Michael Wong, S. Li and Peixun Luo
Wong, Michael K Y
learning of restricted sets of examples. Simulations of the Green's function and the cavity activation disMean-#12;eld theory of learning: from dynamics to statics K. Y. Michael Wong, S. Li and Peixun Luo- tributions support the theory well. The learning dynamics approaches a steady state in agreement
Calculation of free-energy differences and potentials of mean force by a multi-energy gap method
Weston, Ken
Calculation of free-energy differences and potentials of mean force by a multi-energy gap method the convergence of free-energy calculations. It introduces a bias factor in Monte Carlo simulations or.e., the difference in energy function between two states, and is therefore specifically designed for calculating free-energy
Mean field limit for bosons with compact kernels interactions by Wigner measures transportation
Liard, Quentin, E-mail: quentin.liard@univ-rennes1.fr; Pawilowski, Boris, E-mail: boris.pawilowski@univ-rennes1.fr [IRMAR, Université de Rennes I, Campus de Beaulieu, 35042 Rennes Cedex (France)
2014-09-15T23:59:59.000Z
We consider a class of many-body Hamiltonians composed of a free (kinetic) part and a multi-particle (potential) interaction with a compactness assumption on the latter part. We investigate the mean field limit of such quantum systems following the Wigner measures approach. We prove in particular the propagation of these measures along the flow of a nonlinear (Hartree) field equation. This enhances and complements some previous results of the same type shown in Z. Ammari and F. Nier and Fröhlich et al. [“Mean field limit for bosons and propagation of Wigner measures,” J. Math. Phys. 50(4), 042107 (2009); Z. Ammari and F. Nier and Fröhlich et al., “Mean field propagation of Wigner measures and BBGKY hierarchies for general bosonic states,” J. Math. Pures Appl. 95(6), 585–626 (2011); Z. Ammari and F. Nier and Fröhlich et al., “Mean-field- and classical limit of many-body Schrödinger dynamics for bosons,” Commun. Math. Phys. 271(3), 681–697 (2007)].
Ihlefeld, Jon; Clem, Paul G; Edney, Cynthia; Ingersoll, David; Nagasubramanian, Ganesan; Fenton, Kyle Ross
2014-11-04T23:59:59.000Z
The present invention is directed to a higher power, thin film lithium-ion electrolyte on a metallic substrate, enabling mass-produced solid-state lithium batteries. High-temperature thermodynamic equilibrium processing enables co-firing of oxides and base metals, providing a means to integrate the crystalline, lithium-stable, fast lithium-ion conductor lanthanum lithium tantalate (La.sub.1/3-xLi.sub.3xTaO.sub.3) directly with a thin metal foil current collector appropriate for a lithium-free solid-state battery.
Optimization Online - Efficient Cardinality/Mean-Variance Portfolios
R. P. Brito
2012-03-03T23:59:59.000Z
Mar 3, 2012 ... Efficient Cardinality/Mean-Variance Portfolios. R. P. Brito(rpedro.brito ***at*** gmail.com) L. N. Vicente(lnv ***at*** mat.uc.pt). Abstract: A ...
Generating Tensor Representation from Concept Tree in Meaning Based Search
Panigrahy, Jagannath
2011-08-08T23:59:59.000Z
to a representation that can be stored and compared efficiently on computers. Meaning of objects can be adequately captured in terms of a hierarchical composition structure called concept tree. This thesis describes the design and development...
Ris-R-1545(EN) Emission reduction by means
and Plasma Research Department, RisÃ¸), Helge Egsgaard (Biosystems Department, RisÃ¸), Per G. Kristensen reduction by means of low temperature plasma. Summary Department: Optics and Plasma Research Department RisÃ¸
Learning manifolds with k-means and k-flats
Canas, Guillermo D.
We study the problem of estimating a manifold from random samples. In particular, we consider piecewise constant and piecewise linear estimators induced by k-means and k-?ats, and analyze their performance. We extend ...
Thermal Conductivity Spectroscopy Technique to Measure Phonon Mean Free Paths
Schmidt, A. J.
Size effects in heat conduction, which occur when phonon mean free paths (MFPs) are comparable to characteristic lengths, are being extensively explored in many nanoscale systems for energy applications. Knowledge of MFPs ...
Preliminary Assessment of Alternative Navigation Means for Civil Aviation
Stanford University
, particularly where it is relied upon in critical infrastructure. The Federal Aviation Administration (FAA Leo Eldredge, Mitchell Narins, Federal Aviation Administration ABSTRACT The Federal Aviation Administration (FAA) is looking to develop alternative navigation means to global navigation satellite systems
Polymer dynamics in random flow with mean shear K. Turitsyn
Fominov, Yakov
Polymer dynamics in random flow with mean shear K. Turitsyn Landau Institute for theoretical;Outline · Motivation: Elastic turbulence · Experimental setup · Flow and polymer models · Results: 1. Angular statistics 2. Polymer elongation distribution · Conclusion #12;Elastic Turbulence Elastic
Early Experience with a Hybrid Processor: K-Means Clustering
Theiler, James
of con#12;g- urable logic. Keywords: con#12;gurable system on a chip, CSOC, Excalibur, K-means Clustering), with minimal synchronization between the two. Recently, hybrid Con#12;gurable System on a Chip (CSOC
Dynamics of polymers: A mean-field theory
Fredrickson, Glenn H. [Department of Chemical Engineering, University of California, Santa Barbara, California 93106 (United States) [Department of Chemical Engineering, University of California, Santa Barbara, California 93106 (United States); Materials Research Laboratory, University of California, Santa Barbara, California 93106 (United States); Department of Materials, University of California, Santa Barbara, California 93106 (United States); Orland, Henri [Institut de Physique Théorique, CE-Saclay, CEA, F-91191 Gif-sur-Yvette Cedex (France)] [Institut de Physique Théorique, CE-Saclay, CEA, F-91191 Gif-sur-Yvette Cedex (France)
2014-02-28T23:59:59.000Z
We derive a general mean-field theory of inhomogeneous polymer dynamics; a theory whose form has been speculated and widely applied, but not heretofore derived. Our approach involves a functional integral representation of a Martin-Siggia-Rose (MSR) type description of the exact many-chain dynamics. A saddle point approximation to the generating functional, involving conditions where the MSR action is stationary with respect to a collective density field ? and a conjugate MSR response field ?, produces the desired dynamical mean-field theory. Besides clarifying the proper structure of mean-field theory out of equilibrium, our results have implications for numerical studies of polymer dynamics involving hybrid particle-field simulation techniques such as the single-chain in mean-field method.
Recovering Industrial Waste Heat by the Means of Thermoelectricity
Kjelstrup, Signe
as a heat pump) to the surroundings. This heat was interpreted as the lost work of the device. The aimRecovering Industrial Waste Heat by the Means of Thermoelectricity Spring 2010 Department
Eddy-mean flow interactions in western boundary current jets
Waterman, Stephanie N
2009-01-01T23:59:59.000Z
This thesis examines the nature of eddy-mean flow interactions in western boundary current jets and recirculation gyre dynamics from both theoretical and observational perspectives. It includes theoretical studies of ...
k-means Approach to the Karhunen-Loeve Transform
Misztal, Krzysztof; Tabor, Jacek
2011-01-01T23:59:59.000Z
We present a simultaneous generalization of the well-known Karhunen-Loeve (PCA) and k-means algorithms. The basic idea lies in approximating the data with k affine subspaces of a given dimension n. In the case n=0 we obtain the classical k-means, while for k=1 we obtain PCA algorithm. We show that for some data exploration problems this method gives better result then either of the classical approaches.
Spin Chain in Magnetic Field: Limitations of the Large-N Mean-Field Theory
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Wohlfeld, K.; Chen, Cheng-Chien; van Veenendaal, M.; Devereaux, T.P.
2015-02-01T23:59:59.000Z
Motivated by the recent success in describing the spin and orbital spectrum of a spin-orbital chain using a large-N mean-field approximation [Phys. Rev. B 91, 165102 (2015)], we apply the same formalism to the case of a spin chain in the external magnetic field. It occurs that in this case, which corresponds to N=2 in the approximation, the large-N mean-field theory cannot qualitatively reproduce the spin excitation spectra at high magnetic fields, which polarize more than 50% of the spins in the magnetic ground state. This, rather counterintuitively, shows that the physics of a spin chain can under some circumstancesmore »be regarded as more complex than the physics of a spin-orbital chain.« less
Yao, J M; Hagino, K; Ring, P; Meng, J
2014-01-01T23:59:59.000Z
We report a systematic study of nuclear matrix elements (NMEs) in neutrinoless double-beta decays with state-of-the-art beyond mean-field covariant density functional theory. The dynamic effects of particle-number and angular-momentum conservations as well as quadrupole shape fluctuations are taken into account with projections and generator coordinate method for both initial and final nuclei. The full relativistic transition operator is adopted to calculate the NMEs which are found to be consistent with the results of previous beyond non-relativistic mean-field calculation based on a Gogny force with the exception of $^{150}$Nd. Our study shows that the total NMEs can be well approximated by the pure axial-vector coupling term, the calculation of which is computationally much cheaper than that of full terms.
Nonzero Mean Squared Momentum of Quarks in the Non-Perturbative QCD Vacuum
Li-Juan Zhou; Leonard S. Kisslinger; Wei-xing Ma
2010-04-21T23:59:59.000Z
The non-local vacuum condensates of QCD describe the distributions of quarks and gluons in the non-perturbative QCD vacuum. Physically, this means that vacuum quarks and gluons have nonzero mean-squared momentum, called virtuality. In this paper we study the quark virtuality which is given by the ratio of the local quark-gluon mixed vacuum condensate to the quark local vacuum condensate. The two vacuum condensates are obtained by solving Dyson-Schwinger Equations of a fully dressed quark propagator with an effective gluon propagator. Using our calculated condensates, we obtain the virtuality of quarks in the QCD vacuum state. Our numerical predictions differ from the other theoretical model calculations such as QCD sum rules, Lattice QCD and instanton models.
DIRHB -- a relativistic self-consistent mean-field framework for atomic nuclei
T. Niksic; N. Paar; D. Vretenar; P. Ring
2014-03-17T23:59:59.000Z
The DIRHB package consists of three Fortran computer codes for the calculation of the ground-state properties of even-even atomic nuclei using the framework of relativistic self-consistent mean-field models. Each code corresponds to a particular choice of spatial symmetry: the DIRHBS, DIRHBZ and DIRHBT codes are used to calculate nuclei with spherical symmetry, axially symmetric quadrupole deformation, and triaxial quadrupole shapes, respectively. Reflection symmetry is assumed in all three cases. The latest relativistic nuclear energy density functionals are implemented in the codes, thus enabling efficient and accurate calculations over the entire nuclide chart.
Geometrical Rabi transitions between decoupled quantum states
Xingxiang Zhou; Ari Mizel
2008-09-17T23:59:59.000Z
A periodic perturbation such as a laser field cannot induce transitions between two decoupled states for which the transition matrix element vanishes. We show, however, that if in addition some system parameters are varied adiabatically, such transitions become possible via adiabatic-change-induced excitations to other states. We demonstrate that full amplitude transfer between the two decoupled states can be achieved, and more significantly, the evolution of the system only depends on its path in parameter space. Our technique then provides a valuable means of studying nontrivial geometrical dynamics via auxiliary states with large energy splittings.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrinceton Plasma Physics Lab Unique PPPL-ledStates Department of
Nuclear Symmetry Energy in Relativistic Mean Field Theory
Shufang Ban; Jie Meng; Wojciech Satula; Ramon A. Wyss
2005-09-12T23:59:59.000Z
The Physical origin of the nuclear symmetry energy is studied within the relativistic mean field (RMF) theory. Based on the nuclear binding energies calculated with and without mean isovector potential for several isobaric chains we conform earlier Skyrme-Hartree-Fock result that the nuclear symmetry energy strength depends on the mean level spacing $\\epsilon (A)$ and an effective mean isovector potential strength $\\kappa (A)$. A detaied analysis of isospin dependence of the two components contributing to the nuclear symmetry energy reveals a quadratic dependence due to the mean-isoscalar potential, $\\sim\\epsilon T^2$, and, completely unexpectedly, the presence of a strong linear component $\\sim\\kappa T(T+1+\\epsilon/\\kappa)$ in the isovector potential. The latter generates a nuclear symmetry energy in RMF theory that is proportional to $E_{sym}\\sim T(T+1)$ at variance to the non-relativistic calculation. The origin of the linear term in RMF theory needs to be further explored.
Mean ZZ Ceti pulsation period gauges stellar temperature
Anjum S. Mukadam; M. H. Montgomery; A. Kim; D. E. Winget; S. O. Kepler; J. C. Clemens
2006-12-15T23:59:59.000Z
The mean pulsation period of ZZ Ceti stars increases with decreasing effective temperature as we traverse from the blue to the red edge of the instability strip. This well-established correlation between the mean period and spectroscopic temperature suggests that the mean period could be utilized as a tool to measure the relative temperature of the star independent of spectroscopy. Measuring the pulsation periods of a ZZ Ceti star is a simple, model-independent, and straight forward process as opposed to a spectroscopic determination of its temperature. Internal uncertainties in determining the spectroscopic temperature of a ZZ Ceti star are at least 200K, 15% of the 1350K width of the instability strip. The uncertainties in determining the mean period arise mostly from amplitude modulation in the pulsation spectrum and are smaller than 100s for 91% of the ZZ Ceti stars, temperature indicator rather than conventional spectroscopy. Presently we only claim that the relative temperatures of ZZ Ceti stars derived by using the mean pulsation period are certainly as good as and perhaps about 15% better than spectroscopy.
Stochastic Dimensionality Reduction for K-means Clustering
Boutsidis, Christos; Mahoney, Michael W; Drineas, Petros
2011-01-01T23:59:59.000Z
We study the topic of dimensionality reduction methods for k-means clustering. Dimensionality reduction encompasses the union of two approaches; feature selection and feature extraction. First, feature selection selects a small subset of actual features from the data and then runs the clustering algorithm only on the selected features. Second, feature extraction constructs a small set of new artificial features and then runs the clustering algorithm only on the constructed features. Despite the significance of the problem as well as the wealth of heuristic methods addressing it there exist no provably accurate feature selection methods. On the other hand, two provably accurate feature extraction methods for k-means exist: the first one is randomized and is based on Random Projections; the other, is deterministic and it is based on the Singular Value Decomposition. This paper addresses this shortcoming by presenting the first provably accurate feature selection method for k-means clustering. We also present tw...
Mean Field Effects In The Quark-Gluon Plasma
Zhi Guang Tan; A. Bonasera
2006-11-20T23:59:59.000Z
A transport model based on the mean free path approach for an interacting meson system at finite temperatures is discussed. A transition to a quark gluon plasma is included within the framework of the MIT bag model. The results obtained compare very well with Lattice QCD calculations when we include a mean field in the QGP phase due to the Debye color screening. In particular the cross over to the QGP at about 175 MeV temperature is nicely reproduced. We also discuss a possible scenario for hadronization which is especially important for temperatures below the QGP phase transition.
Distributed mean curvature on a discrete manifold for Regge calculus
Rory Conboye; Warner A. Miller; Shannon Ray
2015-02-26T23:59:59.000Z
The integrated mean curvature of a simplicial manifold is well understood in both Regge Calculus and Discrete Differential Geometry. However, a well motivated pointwise definition of curvature requires a careful choice of volume over which to uniformly distribute the local integrated curvature. We show that hybrid cells formed using both the simplicial lattice and its circumcentric dual emerge as a remarkably natural structure for the distribution of this local integrated curvature. These hybrid cells form a complete tessellation of the simplicial manifold, contain a geometric orthonormal basis, and are also shown to give a pointwise mean curvature with a natural interpretation as a fractional rate of change of the normal vector.
Double-$?$ hypernuclei in the relativistic mean-field theory
H. Shen; F. Yang; H. Toki
2006-02-14T23:59:59.000Z
We study the properties of double-$\\Lambda$ hypernuclei in the relativistic mean-field theory, which has been successfully used for the description of stable and unstable nuclei. With the meson-hyperon couplings determined by the experimental binding energies of single-$\\Lambda$ hypernuclei, we present a self-consistent calculation of double-$\\Lambda$ hypernuclei in the relativistic mean-field theory, and discuss the influence of hyperons on the nuclear core. The contribution of two mesons with dominant strange quark components (scalar $\\sigma^*$ and vector $\\phi$) to the $\\Lambda\\Lambda$ binding energy of double-$\\Lambda$ hypernuclei is examined.
Fluorescent lamp unit with magnetic field generating means
Grossman, M.W.; George, W.A.
1989-08-08T23:59:59.000Z
A fluorescent lamp unit having a magnetic field generating means for improving the performance of the fluorescent lamp is disclosed. In a preferred embodiment the fluorescent lamp comprises four longitudinally extending leg portions disposed in substantially quadrangular columnar array and joined by three generally U-shaped portions disposed in different planes. In another embodiment of the invention the magnetic field generating means comprises a plurality of permanent magnets secured together to form a single columnar structure disposed within a centrally located region defined by the shape of lamp envelope. 4 figs.
Typical Pure Nonequilibrium Steady States
Takaaki Monnai; Kazuya Yuasa
2014-08-12T23:59:59.000Z
We show that typicality holds for a class of nonequilibrium systems, i.e., nonequilibrium steady states (NESSs): almost all the pure states properly sampled from a certain Hilbert space well represent a NESS and characterize its intrinsic thermal nature. We clarify the relevant Hilbert space from which the pure states are to be sampled, and construct practically all the typical pure NESSs. The scattering approach leads us to the natural extension of the typicality for equilibrium systems. Each pure NESS correctly yields the expectation values of observables given by the standard ensemble approach. It means that we can calculate the expectation values in a NESS with only a single pure NESS. We provide an explicit construction of the typical pure NESS for a model with two reservoirs, and see that it correctly reproduces the Landauer-type formula for the current flowing steadily between the reservoirs.
Interferometric hydrofracture microseism localization using neighboring fracture
Poliannikov, Oleg V.
2011-05-19T23:59:59.000Z
Hydraulic fracturing is the process of injecting high-pressure fluids into a reservoir to induce fractures and thus improve reservoir productivity. Microseismic event localization is used to locate created fractures. ...
Interferometric hydrofracture microseism localization using neighboring fracture
Poliannikov, Oleg V.
Hydraulic fracturing is the process of injecting high-pressure fluids into a reservoir to induce fractures and thus improve reservoir productivity. Microseismic event localization is used to locate created fractures. ...
On the Controllability of Nearest Neighbor Interconnections
Tanner, Herbert G.
and coordination of large scale intercon- nected systems, progress has also been fueled by recent technological, be- havioral schemes were employed in [17], [18], [19], [20] to shape formations of vehicles. In this paper, however, we consider the classical notion of controllability, for a group of autonomous agents in
Newark Neighbors Saving Energy | Department of Energy
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A Good Neighbor: Corporate Responsibility | NREL
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >InternshipDepartment ofAugustDecember8threbuildA ComprehensiveachAAAAA
Modeling of stagnation-line nonequilibrium flows by means of quantum based collisional models
Munafò, A., E-mail: munafo@vki.ac.be; Magin, T. E., E-mail: magin@vki.ac.be [Aeronautics and Aerospace Department, von Karman Institute for Fluid Dynamics, 1640 Rhode-Saint-Genèse (Belgium)
2014-09-15T23:59:59.000Z
The stagnation-line flow over re-entry bodies is analyzed by means of a quantum based collisional model which accounts for dissociation and energy transfer in N{sub 2}-N interactions. The physical model is based on a kinetic database developed at NASA Ames Research Center. The reduction of the kinetic mechanism is achieved by lumping the rovibrational energy levels of the N{sub 2} molecule in energy bins. The energy bins are treated as separate species, thus allowing for non-Boltzmann distributions of their populations. The governing equations are discretized in space by means of the Finite Volume method. A fully implicit time-integration is used to obtain steady-state solutions. The results show that the population of the energy bins strongly deviate from a Boltzmann distribution close to the shock wave and across the boundary layer. The sensitivity analysis to the number of energy bins reveals that accurate estimation of flow quantities (such as chemical composition and wall heat flux) can be obtained by using only 10 energy bins. A comparison with the predictions obtained by means of conventional multi-temperature models indicates that the former can lead to an overestimation of the wall heat flux, due to an inaccurate modeling of recombination in the boundary layer.
Mean-shift algorithms for manifold denoising, matrix completion and clustering
Wang, Weiran
2013-01-01T23:59:59.000Z
and the centroids found by K-means, K-modes, and mean-Rosasco. Learning manifolds with k- means and k-flats. In P.Huang. Extensions to the k-means algorithm for clustering
A Solvable Mean Field Model of a Gaussian Spin Glass
Adriano Barra; Giuseppe Genovese; Francesco Guerra; Daniele Tantari
2012-05-17T23:59:59.000Z
We introduce a mean field spin glass model with gaussian distribuited spins and pairwise interactions, whose couplings are drawn randomly from a normal gaussian distribution too. We completely control the main thermodynamical properties of the model (free energy, phase diagram, fluctuations theory) in the whole phase space. In particular we prove that in thermodynamic limit the free energy equals its replica symmetric expression.
Fluorescent lamp with static magnetic field generating means
Moskowitz, P.E.; Maya, J.
1987-09-08T23:59:59.000Z
A fluorescent lamp wherein magnetic field generating means (e.g., permanent magnets) are utilized to generate a static magnetic field across the respective electrode structures of the lamp such that maximum field strength is located at the electrode's filament. An increase in efficacy during operation has been observed. 2 figs.
Distributed Precoding for MISO Interference Channels with Channel Mean Feedback
Ulukus, Sennur
Distributed Precoding for MISO Interference Channels with Channel Mean Feedback: Algorithms precoding algorithms for multiple-input single-output (MISO) interference channels, where each trans- mitter- antenna wireless interference channels [5]-[7]. For multiple- input single-output (MISO) interference
Collective periodicity in mean-field models of cooperative behavior
Francesca Collet; Paolo Dai Pra; Marco Formentin
2015-02-06T23:59:59.000Z
We propose a way to break symmetry in stochastic dynamics by introducing a dissipation term. We show in a specific mean-field model, that if the reversible model undergoes a phase transition of ferromagnetic type, then its dissipative counterpart exhibits periodic orbits in the thermodynamic limit.
Optimizing Thermoelectric Power Factor by Means of a Potential Barrier
1 Optimizing Thermoelectric Power Factor by Means of a Potential Barrier Neophytos Neophytou}@iue.tuwien.ac.at Abstract Large efforts in improving thermoelectric energy conversion are devoted to energy filtering design, ~40% improvement in the thermoelectric power factor can be achieved if the following conditions
WHAT DO THREAT LEVELS AND RESPONSE LEVELS MEAN? THREAT LEVELS
Edinburgh, University of
WHAT DO THREAT LEVELS AND RESPONSE LEVELS MEAN? THREAT LEVELS: The UK Threat Level is decided by the Government's Joint Terrorism Analysis Centre (JTAC). It is the system to assess the threat to the UK from Threat Levels: Low - an attack is unlikely Moderate - an attack is possible, but not likely Substantial
Thermodynamics and Universality for Mean Field Quantum Spin Glasses
Nick Crawford
2006-10-13T23:59:59.000Z
We study aspects of the thermodynamics of quantum versions of spin glasses. By means of the Lie-Trotter formula for exponential sums of operators, we adapt methods used to analyze classical spin glass models to answer analogous questions about quantum models.
Fresh Water Increased temperature means higher proportion of water
Houston, Paul L.
Fresh Water Increased temperature means higher proportion of water falling on surface higher evaporation higher rainfall greater intensity of floods and droughts. Water use has grown four on How much storage compared to average flow Demand as percentage of supply How much ground water is used
Proton root-mean-square radii and electron scattering
Ingo Sick; Dirk Trautmann
2014-07-07T23:59:59.000Z
The standard procedure of extracting the proton root-mean-square radii from models for the Sachs form factors $G_e (q)$ and $G_m (q)$ fitted to elastic electron-proton scattering data %has a serious flaw. is more uncertain than traditionally assumed. The extrapolation of $G(q)$, from the region $q_{min} reliable $rms$-radii be determined.
Generalized Mean-payoff and Energy Games Krishnendu Chatterjee1
Doyen, Laurent
Generalized Mean-payoff and Energy Games Krishnendu Chatterjee1 , Laurent Doyen2 , Thomas A. Henzinger1 , and Jean-FranÃ§ois Raskin3 1 IST Austria (Institute of Science and Technology Austria) 2 LSV of an infinite sequence of numeric weights is nonnegative. In energy games, the objective is to ensure
Mean Radiant Cooling in a Hot-Humid Climate
Garrison, M.
1996-01-01T23:59:59.000Z
Shaded interior mass walls in a hot-humid climate can be thermally grounded to an earth heat sink under an insulated structure. The mean radiant temperature (MRT) of the shaded and thermally grounded interior mass walls will be cooler in summer than...
Beliefs about obesity What does obesity mean to you?
Doran, Simon J.
Beliefs about obesity What does obesity mean to you? Obesity has been in the news a lot recently. We are interested in your views about obesity. We would therefore be grateful if you could answer extent do you think that obesity is caused by the following? (Please circle) Not at all Totally Genetics
Mean-risk optimization of electricity portfolios Andreas Eichhorn 1
Eichhorn, Andreas
refer to a wide range of literature dealing with power management in a hydro-thermal system and simultaneous optimization of power production and electricity trading, e.g. [7] and [10]. We suppose that eachMean-risk optimization of electricity portfolios Andreas Eichhorn 1 , Nicole Gr¨owe-Kuska1 , Andrea
HYBRID DECADE-MEAN GLOBAL SEA LEVEL WITH MESOSCALE RESOLUTION
HYBRID DECADE-MEAN GLOBAL SEA LEVEL WITH MESOSCALE RESOLUTION Nikolai A. Maximenko1 and Pearn P of twin-satellite mission GRACE and mesoscale sea level tilt derived from the momentum balance as seen 55 #12;sea level exhibits excellent accuracy on mesoscale, but may contain significant systematic
Four-dimensional cone beam CT reconstruction and enhancement using a temporal nonlocal means method
Jia Xun; Tian Zhen; Lou Yifei; Sonke, Jan-Jakob; Jiang, Steve B. [Center for Advanced Radiotherapy Technologies and Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California 92037 (United States); School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30318 (United States); Department of Radiation Oncology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam (Netherlands); Center for Advanced Radiotherapy Technologies and Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California 92037 (United States)
2012-09-15T23:59:59.000Z
Purpose: Four-dimensional cone beam computed tomography (4D-CBCT) has been developed to provide respiratory phase-resolved volumetric imaging in image guided radiation therapy. Conventionally, it is reconstructed by first sorting the x-ray projections into multiple respiratory phase bins according to a breathing signal extracted either from the projection images or some external surrogates, and then reconstructing a 3D CBCT image in each phase bin independently using FDK algorithm. This method requires adequate number of projections for each phase, which can be achieved using a low gantry rotation or multiple gantry rotations. Inadequate number of projections in each phase bin results in low quality 4D-CBCT images with obvious streaking artifacts. 4D-CBCT images at different breathing phases share a lot of redundant information, because they represent the same anatomy captured at slightly different temporal points. Taking this redundancy along the temporal dimension into account can in principle facilitate the reconstruction in the situation of inadequate number of projection images. In this work, the authors propose two novel 4D-CBCT algorithms: an iterative reconstruction algorithm and an enhancement algorithm, utilizing a temporal nonlocal means (TNLM) method. Methods: The authors define a TNLM energy term for a given set of 4D-CBCT images. Minimization of this term favors those 4D-CBCT images such that any anatomical features at one spatial point at one phase can be found in a nearby spatial point at neighboring phases. 4D-CBCT reconstruction is achieved by minimizing a total energy containing a data fidelity term and the TNLM energy term. As for the image enhancement, 4D-CBCT images generated by the FDK algorithm are enhanced by minimizing the TNLM function while keeping the enhanced images close to the FDK results. A forward-backward splitting algorithm and a Gauss-Jacobi iteration method are employed to solve the problems. The algorithms implementation on GPU is designed to avoid redundant and uncoalesced memory access, in order to ensure a high computational efficiency. Our algorithms have been tested on a digital NURBS-based cardiac-torso phantom and a clinical patient case. Results: The reconstruction algorithm and the enhancement algorithm generate visually similar 4D-CBCT images, both better than the FDK results. Quantitative evaluations indicate that, compared with the FDK results, our reconstruction method improves contrast-to-noise-ratio (CNR) by a factor of 2.56-3.13 and our enhancement method increases the CNR by 2.75-3.33 times. The enhancement method also removes over 80% of the streak artifacts from the FDK results. The total computation time is 509-683 s for the reconstruction algorithm and 524-540 s for the enhancement algorithm on an NVIDIA Tesla C1060 GPU card. Conclusions: By innovatively taking the temporal redundancy among 4D-CBCT images into consideration, the proposed algorithms can produce high quality 4D-CBCT images with much less streak artifacts than the FDK results, in the situation of inadequate number of projections.
Svirin, M. I., E-mail: svirin@ippe.ru [Institute for Physics and Power Engineering (Russian Federation)
2012-12-15T23:59:59.000Z
The cross section for the neutron-induced fission of {sup 232}Th target nuclei, {sigma}{sub f} (E{sub n}), was described within statistical theory. The spectra of the mean multiplicity, v-bar (E{sub n}), and the mean energy, E-bar(E{sub n}), of secondary neutrons accompanying {sup 232}Th fission induced by neutrons of energy extending up to E{sub n} = 20 MeV were analyzed on the basis of the chance structure of the cross section.
Beyond the mean field in the particle-vibration coupling scheme
M. Baldo; P. F. Bortignon; G. Colo'; D. Rizzo; L. Sciacchitano
2015-07-09T23:59:59.000Z
The Energy Density Functional theory is one of the most used methods developed in nuclear structure. It is based on the assumption that the energy of the ground state is a functional only of the density profile. The method is extremely successful within the effective force approach, noticeably the Skyrme or Gogny forces, in reproducing the nuclear binding energies and other bulk properties along the whole mass table. Although the Density Functional is in this case represented formally as the Hartree-Fock mean field of an effective force, the corresponding single-particle states in general do not reproduce the phenomenology particularly well. To overcome this difficulty, a strategy has been developed where the effective force is adjusted to reproduce directly the single particle energies, trying to keep the ground state energy sufficiently well reproduced. An alternative route, that has been developed along several years, for solving this problem is to introduce the mean field fluctuations, as represented by the collective vibrations of the nuclear system, and their influence on the single particle dynamics and structure. This is the basis of the particle-vibration coupling model. In this paper we present a formal theory of the particle-vibration coupling model based on the Green' s function method. The theory extends to realistic effective forces the macroscopic particle-vibration coupling models and the (microscopic) Nuclear Field Theory. It is formalized within the functional derivative approach to many-body theory. An expansion in diagrams is devised for the single particle self-energy and the phonon propagator. Critical aspects of the particle-vibration coupling model are analysed in general. Applications at the lowest order of the expansion are presented and discussed.
Mean-field theory for scale-free random networks
Albert-Laszlo Barabasi; Reka Albert; Hawoong Jeong
1999-07-05T23:59:59.000Z
Random networks with complex topology are common in Nature, describing systems as diverse as the world wide web or social and business networks. Recently, it has been demonstrated that most large networks for which topological information is available display scale-free features. Here we study the scaling properties of the recently introduced scale-free model, that can account for the observed power-law distribution of the connectivities. We develop a mean-field method to predict the growth dynamics of the individual vertices, and use this to calculate analytically the connectivity distribution and the scaling exponents. The mean-field method can be used to address the properties of two variants of the scale-free model, that do not display power-law scaling.
Means and method of detection in chemical separation procedures
Yeung, Edward S. (Ames, IA); Koutny, Lance B. (Ames, IA); Hogan, Barry L. (Ames, IA); Cheung, Chan K. (Ames, IA); Ma, Yinfa (Ames, IA)
1993-03-09T23:59:59.000Z
A means and method for indirect detection of constituent components of a mixture separated in a chemical separation process. Fluorescing ions are distributed across the area in which separation of the mixture will occur to provide a generally uniform background fluorescence intensity. For example, the mixture is comprised of one or more charged analytes which displace fluorescing ions where its constituent components separate to. Fluorescing ions of the same charge as the charged analyte components cause a displacement. The displacement results in the location of the separated components having a reduced fluorescence intensity to the remainder of the background. Detection of the lower fluorescence intensity areas can be visually, by photographic means and methods, or by automated laser scanning.
Steady-state spheromak reactor studies
Krakowski, R.A.; Hagenson, R.L.
1985-01-01T23:59:59.000Z
After summarizing the essential elements of a gun-sustained spheromak, the potential for a steady-state is explored by means of a comprehensive physics/engineering/costing model. A range of cost-optimized reactor design points is presented, and the sensitivity of cost to key physics, engineering, and operational variables is reported.
Excitation of fast waves near the mean gyrofrequency
Platt, R.C.; McWilliams, R.
1986-11-03T23:59:59.000Z
Fast waves with frequencies near the mean gyrofrequency (..omega..--(..omega../sub c//sub i/..omega../sub ce/)/sup 1/2/) were excited in a toroidal, magnetized plasma. Experimental measurements were made of wavelengths and phase velocities perpendicular to the toroidal magnetic field, and wave energy trajectories in the plasma, varying wave frequency, plasma density, and magnetic field values. Experimental results agree with predictions from the cold-plasma dispersion relation.
Cosmic metal production and the mean metallicity of the Universe
F. Calura; F. Matteucci
2004-03-08T23:59:59.000Z
By means of detailed chemo-photometric models for elliptical, spiral and irregular galaxies, we evaluate the cosmic history of the production of chemical elements as well as the metal mass density of the present-day universe. We then calculate the mean metal abundances for galaxies of different morphological types, along with the average metallicity of galactic matter in the universe (stars, gas and intergalactic medium). For the average metallicity of galaxies in the local universe, we find Z_gal= 0.0175, i.e. close to the solar value. We find the main metal production in spheroids (ellipticals and bulges) to occur at very early times, implying an early peak in the metal production and a subsequent decrease. On the other hand, the metal production in spirals and irregulars is always increasing with time. We perform a self-consistent census of the baryons and metals in the local universe finding that, while the vast majority of the baryons lies outside galaxies in the inter-galactic medium (IGM), 52 % of the metals (with the exception of the Fe-peak elements) is locked up in stars and in the interstellar medium. We estimate indirectly the amount of baryons which resides in the IGM and we derive its mean Fe abundance, finding a value of X_Fe,IGM=0.05 X_Fe,sun. We believe that this estimate is uncertain by a factor of 2, owing to the normalization of the local luminosity function. This means that the Fe abundance of 0.3 solar inferred from X-ray observations of the hot intra-cluster medium (ICM) is higher than the average Fe abundance of the inter-galactic gas in the field.
Mean field approximation for noisy delay coupled excitable neurons
Nikola Buric; Dragana Rankovic; Kristina Todorovic; Nebojsa Vasovic
2010-03-26T23:59:59.000Z
Mean field approximation of a large collection of FitzHugh-Nagumo excitable neurons with noise and all-to-all coupling with explicit time-delays, modelled by $N\\gg 1$ stochastic delay-differential equations is derived. The resulting approximation contains only two deterministic delay-differential equations but provides excellent predictions concerning the stability and bifurcations of the averaged global variables of the exact large system.
Filtering Additive Measurement Noise with Maximum Entropy in the Mean
Henryk Gzyl; Enrique ter Horst
2007-09-04T23:59:59.000Z
The purpose of this note is to show how the method of maximum entropy in the mean (MEM) may be used to improve parametric estimation when the measurements are corrupted by large level of noise. The method is developed in the context on a concrete example: that of estimation of the parameter in an exponential distribution. We compare the performance of our method with the bayesian and maximum likelihood approaches.
Energy Dependent Isospin Asymmetry in Mean-Field Dynamics
T. Gaitanos; M. Kaskulov
2012-01-27T23:59:59.000Z
The Lagrangian density of relativistic mean-field (RMF) theory with non-linear derivative (NLD) interactions is applied to isospin asymmetric nuclear matter. We study the symmetry energy and the density and energy dependences of nucleon selfenergies. At high baryon densities a soft symmetry energy is obtained. The energy dependence of the isovector selfenergy suppresses the Lane-type optical potential with increasing energy and predicts a $\\rho$-meson induced mass splitting between protons and neutrons in isospin asymmetric matter.
Understanding Sequestration as a Means of Carbon Management Howard Herzog
IN&OUT'ACC CO2'POPx GDP POP x BTU GDP x CO2 BTU 1 (1) (2) Understanding Sequestration as a Means and is a measure of fuel combustion and cement production (5.5 standard of living, BTU/GDP is energy Gt to as "deforestation" (1.6 GtC/yr). By energy intensity, and CO2/BTU is the amount of 1994, the fossil fuel
Likas, Aristidis
Abstract-- Kernel k-means is an extension of the standard k- means clustering algorithm associated with this method, in this work we propose the global kernel k-means algorithm, a deterministic a global search proce- dure consisting of several executions of kernel k-means from suitable
Revisiting k-means: New Algorithms via Bayesian Nonparametrics
Kulis, Brian
2011-01-01T23:59:59.000Z
One of the many benefits of Bayesian nonparametric processes such as the Dirichlet process is that they can be used for modeling infinite mixture models, thus providing a flexible answer to the question of how many clusters exist in a data set. For the most part, such flexibility is currently lacking in techniques based on hard clustering, such as k-means, graph cuts, and Bregman hard clustering. For finite mixture models, there is a precise connection between k-means and mixtures of Gaussians, obtained by an appropriate limiting argument. In this paper, we apply a similar technique to an infinite mixture arising from the Dirichlet process (DP). We show that a Gibbs sampling algorithm for DP mixtures approaches a hard clustering algorithm in the limit, and further that the resulting algorithm monotonically minimizes an elegant underlying k-means-like objective that includes a penalty term based on the number of clusters. We generalize our analysis to the case of clustering multiple related data sets through a...
Remote creation of a one-qubit mixed state through a short homogeneous spin-1/2 chain
A. I. Zenchuk
2014-12-11T23:59:59.000Z
We consider a method of remote mixed state creation of a one-qubit subsystem (receiver) in a spin-1/2 chain governed by the nearest-neighbor $XY$-Hamiltonian. Owing to the evolution of the chain along with the variable local unitary transformation of the one- or two-qubit sender, a large variety of receiver states can be created during some time interval starting with a fixed initial state of the whole quantum system. These states form the creatable region of the receiver's state-space. It is remarkable that, having the two-qubit sender, a large creatable region may be covered at a properly fixed time instant $t_0$ using just the variable local unitary transformation of the sender. In this case we have completely local control of the remote state creation. In general, for a given initial state, there are such receiver's states that may not be created using the above tool. These states form the unavailable region. In turn, this unavailable region might be the creatable region of another sender. Thus, in future, we have a way to share the whole receiver's state-space among the creatable regions of several senders. The effectiveness of remote state creation is characterized by the density function of the creatable region.
State Space Reconstruction for Multivariate Time Series Prediction
I. Vlachos; D. Kugiumtzis
2008-09-12T23:59:59.000Z
In the nonlinear prediction of scalar time series, the common practice is to reconstruct the state space using time-delay embedding and apply a local model on neighborhoods of the reconstructed space. The method of false nearest neighbors is often used to estimate the embedding dimension. For prediction purposes, the optimal embedding dimension can also be estimated by some prediction error minimization criterion. We investigate the proper state space reconstruction for multivariate time series and modify the two abovementioned criteria to search for optimal embedding in the set of the variables and their delays. We pinpoint the problems that can arise in each case and compare the state space reconstructions (suggested by each of the two methods) on the predictive ability of the local model that uses each of them. Results obtained from Monte Carlo simulations on known chaotic maps revealed the non-uniqueness of optimum reconstruction in the multivariate case and showed that prediction criteria perform better when the task is prediction.
Optimization of relativistic mean field model for finite nuclei to neutron star matter
B. K. Agrawal; A. Sulaksono; P. -G. Reinhard
2012-04-12T23:59:59.000Z
We have optimized the parameters of extended relativistic mean-field model using a selected set of global observables which includes binding energies and charge radii for nuclei along several isotopic and isotonic chains and the iso-scalar giant monopole resonance energies for the $^{90}$Zr and $^{208}$Pb nuclei. The model parameters are further constrained by the available informations on the energy per neutron for the dilute neutron matter and bounds on the equations of state of the symmetric and asymmetric nuclear matter at supra-nuclear densities. Two new parameter sets BSP and IUFSU* are obtained, later one being the variant of recently proposed IUFSU parameter set. The BSP parametrization uses the contributions from the quartic order cross-coupling between $\\omega$ and $\\sigma$ mesons to model the high density behaviour of the equation of state instead of the $\\omega$ meson self-coupling as in the case of IUFSU* or IUFSU. Our parameter sets yield appreciable improvements in the binding energy systematics and the equation of state for the dilute neutron matter. The importance of the quartic order $\\omega-\\sigma$ cross coupling term of the extended RMF model, as often ignored, is realized.
3He- and 4He-induced nuclear fission - a test of the transition state method
Th. Rubehn; K. X. Jing; L. G. Moretto; L. Phair; K. Tso; G. J. Wozniak
1997-04-18T23:59:59.000Z
Fission in 3He and 4He induced reactions at excitation energies between the fission barrier and 140 MeV has been investigated. Twentythree fission excitation functions of various compound nuclei in different mass regions are shown to scale exactly according to the transition state prediction once the shell effects are accounted for. New precise measurements of excitation functions in a mass region where shell effects are very strong, allow one to test the predictions with an even higher accuracy. The fact that no deviations from the transition state method have been observed within the experimentally investigated excitation energy regime allows one to assign limits for the fission transient time. The precise measurement of fission excitation functions of neighboring isotopes enables us to experimentally estimate the first chance fission probability. Even if only first chance fission is investigated, no evidence for fission transient times larger than 30 zs can be found.
A message-passing approach for recurrent-state epidemic models on networks
Shrestha, Munik; Moore, Cristopher
2015-01-01T23:59:59.000Z
Epidemic processes are common out-of-equilibrium phenomena of broad interdisciplinary interest. Recently, dynamic message-passing (DMP) has been proposed as an efficient algorithm for simulating epidemic models on networks, and in particular for estimating the probability that a given node will become infectious at a particular time. To date, DMP has been applied exclusively to models with one-way state changes, as opposed to models like SIS (susceptible-infectious-susceptible) and SIRS (susceptible-infectious-recovered-susceptible) where nodes can return to previously inhabited states. Because many real-world epidemics can exhibit such recurrent dynamics, we propose a DMP algorithm for complex, recurrent epidemic models on networks. Our approach takes correlations between neighboring nodes into account while preventing causal signals from backtracking to their immediate source, and thus avoids "echo chamber effects" where a pair of adjacent nodes each amplify the probability that the other is infectious. We ...
Top Quark Physics at the ILC: Methods and Meanings
Zack Sullivan
2009-03-06T23:59:59.000Z
The physics case for studying top-quark physics at the International Linear Collider is well established. This summary places in context the top-quark physics goals, examines the current state-of-the art in understanding of the top-quark mass, and identifies some areas in which the study of the top-quark mass enhances our understanding of new techniques.
Red Means Go IT Doesn't Matter.
United States European Union Japan 0 50,000 100,000 150,000 200,000 250,000 1991 1993 1995 1997 1999 2001 and interconnectivity rules (Broadband, SaaS, SOA, Blogs, SMS), data centers grow again (blades, racks, load balancing
Mean flow and turbulence characteristics in whirling annular seals
Thames, Howard Davis
1992-01-01T23:59:59.000Z
of the test rig with the annular seal installed 15: Dimensions of the Annular Rotor . 16: Components of the 3D Laser Doppler Velocimetry System 15 17 . . 19 Figure 17: Raw Doppler signal with high frequency noise and pedestal Figure 18: Doppler signal... 64: Figure 65: Figure 66: Figure 67: Figure 68: Figure 69: Figure 70: Figure 71: Figure 72: Figure 73: Figure 74: Figure 75: Figure 76: Figure 77: Case 2 Vector Plots at Constant Axial Positions 13-17 99 Case 2 Mean Velocity Contours...
Thermal entanglement of spins in mean-field clusters
Asoudeh, M.; Karimipour, V. [Department of Physics, Sharif University of Technology, P.O. Box 11365-9161, Tehran (Iran, Islamic Republic of)
2006-06-15T23:59:59.000Z
We determine thermal entanglement in mean-field clusters of N spin one-half particles interacting via the anisotropic Heisenberg interaction, with and without external magnetic field. For the xxx cluster in the absence of magnetic field we prove that only the N=2 ferromagnetic cluster shows entanglement. An external magnetic field B can only entangle xxx antiferromagnetic clusters in certain regions of the B-T plane. On the other hand, the xxz clusters of size N>2 are entangled only when the interaction is ferromagnetic. Detailed dependence of the entanglement on various parameters is investigated in each case.
Investigation of storm intensity by means of sferics
Sievers, Henry Emmett
1959-01-01T23:59:59.000Z
was about 0. 02. On 15 May, a funnel aloft was sight- ed neer Fort Sherman~ Grayson County~ at a time when 175 kc ratio was about 0. 32. On 18 May~ a funnel aloft occurred at Port Neches when sferics ratio was 0. 1; on the 28th~ a funnel aloft occurred... LIBRARy' A & M COLLEGE OF TEXAS INVESTIGATION OF STORM INTENSITY BY MEANS OF SFERICS A Thesis By HENRY EMMETT SIEVERS Major U. S. A. F. Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial...
Fusion of heavy ions by means of the Langevin equation
Mahboub, K.; Zerarka, A.; Foester, V.G. [Departement de Physique Nucleaire, Universite Med Khider, B P 145 Biskra 07000 (Algeria)
2005-06-01T23:59:59.000Z
The Langevin equation was used to describe fusion dynamics in two systems, {sup 64}Ni+{sup 100}Mo and {sup 64}Ni+{sup 96}Zr. The corresponding fusion cross sections were calculated for different energies, and the mean angular momentum and its dependence on energy were also obtained. We were able to reproduce experimental fusion cross sections at high energies with the one-body dissipation mechanism. Attention was focused on the fusion barrier calculated with the Yukawa-plus-exponential method.
Relativistic mean field calculations in neutron-rich nuclei
Gangopadhyay, G.; Bhattacharya, Madhubrata [Department of Physics, University of Calcutta, 92 Acharya Prafulla Chandra Road, Kolkata 700 009 (India); Roy, Subinit [Saha Institute of Nuclear Physics, Block AF, Sector 1, Kolkata- 700 064 (India)
2014-08-14T23:59:59.000Z
Relativistic mean field calculations have been employed to study neutron rich nuclei. The Lagrange's equations have been solved in the co-ordinate space. The effect of the continuum has been effectively taken into account through the method of resonant continuum. It is found that BCS approximation performs as well as a more involved Relativistic Continuum Hartree Bogoliubov approach. Calculations reveal the possibility of modification of magic numbers in neutron rich nuclei. Calculation for low energy proton scattering cross sections shows that the present approach reproduces the density in very light neutron rich nuclei.
Assessing complexity by means of maximum entropy models
Chliamovitch, Gregor; Velasquez, Lino
2014-01-01T23:59:59.000Z
We discuss a characterization of complexity based on successive approximations of the probability density describing a system by means of maximum entropy methods, thereby quantifying the respective role played by different orders of interaction. This characterization is applied on simple cellular automata in order to put it in perspective with the usual notion of complexity for such systems based on Wolfram classes. The overlap is shown to be good, but not perfect. This suggests that complexity in the sense of Wolfram emerges as an intermediate regime of maximum entropy-based complexity, but also gives insights regarding the role of initial conditions in complexity-related issues.
An Empirical Evaluation of Different Initializations on the Number of K-means
Amorim, Renato Cordeiro de
An Empirical Evaluation of Different Initializations on the Number of K-means Iterations Renato of iterations K-Means takes to converge under different initializations. We have ex- perimented with seven using the Ward criterion when applied to real datasets. Keywords: K-Means, K-Means++, iK-Means, Build
Charge and magnetic states of Mn-, Fe-, and Co-doped monolayer MoS{sub 2}
Lin, Xianqing [State Key Laboratory of Low-Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084 (China); Collaborative Innovation Center of Quantum Matter, Beijing 100084 (China); Department of Applied Physics, Zhejiang University of Technology, Hangzhou 310023 (China); Ni, Jun, E-mail: junni@mail.tsinghua.edu.cn [State Key Laboratory of Low-Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084 (China); Collaborative Innovation Center of Quantum Matter, Beijing 100084 (China)
2014-07-28T23:59:59.000Z
First-principles calculations have been performed to investigate the electronic and magnetic properties of monolayer MoS{sub 2} substitutionally doped with Mn, Fe, and Co in possible charge states (q). We find that the Mn, Fe, and Co dopants substituting for a Mo atom in monolayer MoS{sub 2} (Mn@Mo, Fe@Mo, and Co@Mo) are all magnetic in their neutral and charge states except in the highest positive charge states. Mn@Mo, Fe@Mo, and Co@Mo have the same highest negative charge states of q=?2 for chemical potential of electron just below the conduction band minimum, which corresponds to the electron doping. In the q=?2 state, Mn@Mo has a much larger magnetic moment than its neutral state with the antiferromagnetic coupling between the Mn dopant and its neighboring S atoms maintained, while Fe@Mo and Co@Mo have equal or smaller magnetic moments than their neutral states. The possible charge states of Mn@Mo, Fe@Mo, and Co@Mo and the variation of the magnetic moments for different dopants and charge states are due to the change of the occupation and energy of the anti-bonding defect levels in the band gap. The rich magnetic properties of the neutral and charge states suggest possible realization of the substitutionally Mn-, Fe-, and Co-doped monolayer MoS{sub 2} as dilute magnetic semiconductors.
Emulating quantum state transfer through a spin-1 chain on a 1D lattice of superconducting qutrits
Joydip Ghosh
2014-11-26T23:59:59.000Z
Spin-1 systems, in comparison to spin-1/2 systems, offer a better security for encoding and transfer of quantum information, primarily due to their larger Hilbert spaces. Superconducting artificial atoms possess multiple energy-levels, thereby capable of emulating higher-spin systems. Here we consider a 1D lattice of nearest-neighbor-coupled superconducting transmon systems, and devise a scheme to transfer an arbitrary qutrit-state (a state encoded in a three-level quantum system) across the chain. We assume adjustable couplings between adjacent transmons, derive an analytic constraint for the control-pulse, and show how to satisfy the constraint to achieve a high-fidelity state-transfer under current experimental conditions. Our protocol thus enables enhanced quantum communication and information processing with promising superconducting qutrits.
Hugoniot and mean ionization of laser-shocked Ge-doped plastic
Huser, G.; Salin, G.; Galmiche, D. [CEA, DAM, DIF, Bruyères-le-Châtel, F-91297 Arpajon (France)] [CEA, DAM, DIF, Bruyères-le-Châtel, F-91297 Arpajon (France); Ozaki, N.; Kodama, R. [Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871 (Japan) [Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871 (Japan); Photons Pioneers Center, Osaka University, Suita, Osaka 565-0871 (Japan); Sano, T.; Sakawa, Y. [Institute of Laser Engineering, Osaka University, Suita, Osaka 565-0871 (Japan)] [Institute of Laser Engineering, Osaka University, Suita, Osaka 565-0871 (Japan); Miyanishi, K.; Asaumi, Y.; Kita, M.; Kondo, Y.; Nakatsuka, K.; Uranishi, H.; Yang, T.; Yokoyama, N. [Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871 (Japan)] [Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871 (Japan)
2013-12-15T23:59:59.000Z
Pressure, density, temperature, and reflectivity measurements along the principal Hugoniot of Ge-doped plastics used in Inertial Confinement Fusion capsules surrogates were obtained to pressures reaching up to 7 Mbar and compared to Quotidian Equation of State models. The experiment was performed using the GEKKO XII laser at the Institute of Laser Engineering at Osaka University in Japan. High precision measurements of pressure and density were obtained using a quartz standard and found to be in good agreement with theoretical Hugoniot curves. Modeling of reflectivity measurements show that shocked samples can be described as poor metals and that mean ionization calculated within the frame of QEOS is overestimated. Similarly, shock temperatures were found to be below theoretical Hugoniot curves.
Shell structure in neutron rich nuclei by means of binary reactions
Angelis, G. de [INFN, Laboratori Nazionali di Legnaro (Italy)
2014-08-14T23:59:59.000Z
Nuclear structure studies far from stability rely mainly on the availability of radioactive nuclear beams but can complementary be addressed by means of high intensity beams of stable ions. In such contest, deep-inelastic and multinucleon transfer reactions are a powerful tool to populate yrast and non yrast states in neutron-rich nuclei. Particularly successful is here the combination of large acceptance spectrometers with highly segmented gamma-detector arrays. Such devices can provide the necessary channel selectivity to identify very rare signals. The AGATA gamma-ray detector array coupled to the PRISMA spectrometer at the Legnaro National Laboratories (LNL) in Italy is one example. Large data sets have been collected at LNL for nuclei close to the N=20, 28, 40, 50 and 82 shell closures.
Mean transverse mass of hadrons in proton-proton reactions
V. Yu. Vovchenko; D. V. Anchishkin; M. I. Gorenstein
2015-01-23T23:59:59.000Z
An energy dependence of the mean transverse mass $\\langle m_T\\rangle$ at mid-rapidity in proton-proton ($p+p$) reactions is studied within the ultra-relativistic quantum molecular dynamics (UrQMD). The UrQMD model predicts a nonmonotonous dependence of $\\langle m_T\\rangle$ on collision energy for several hadron species: for $\\pi^+$, $p$, $K^+$, and $\\Lambda$ the mean transverse mass has a maximum at the center of mass energy region $5\\le \\sqrt{s}\\le 8$ GeV. These results are a consequence of an interplay of two contributions: 1) excitations and decays of the baryonic resonances $N^*$ and $\\Delta$; 2) excitations and decays of the baryonic strings. The UrQMD results do not show any nonmonotonous dependence of $\\langle m_T\\rangle$ on $\\sqrt{s}$ for $\\pi^-$, $K^{-}$, and antiprotons. Whether a nonmonotonous dependence of $\\langle m_T\\rangle$ at mid-rapidity on the collision energy for $\\pi^+$, $p$, $K^+$, and $\\Lambda$ is relevant for real $p+p$ interactions will be soon checked experimentally by the NA61/SHINE Collaboration.
Attacks exploiting deviation of mean photon number in quantum key distribution and coin tossing
Shihan Sajeed; Igor Radchenko; Sarah Kaiser; Jean-Philippe Bourgoin; Anna Pappa; Laurent Monat; Matthieu Legre; Vadim Makarov
2015-03-30T23:59:59.000Z
The security of quantum communication using a weak coherent source requires an accurate knowledge of the source's mean photon number. Finite calibration precision or an active manipulation by an attacker may cause the actual emitted photon number to deviate from the known value. We model effects of this deviation on the security of three quantum communication protocols: the Bennett-Brassard 1984 (BB84) quantum key distribution (QKD) protocol without decoy states, Scarani-Acin-Ribordy-Gisin 2004 (SARG04) QKD protocol, and a coin-tossing protocol. For QKD, we model both a strong attack using technology possible in principle, and a realistic attack bounded by today's technology. To maintain the mean photon number in two-way systems, such as plug-and-play and relativistic quantum cryptography schemes, bright pulse energy incoming from the communication channel must be monitored. Implementation of a monitoring detector has largely been ignored so far, except for ID Quantique's commercial QKD system Clavis2. We scrutinize this implementation for security problems, and show that designing a hack-proof pulse-energy-measuring detector is far from trivial. Indeed the first implementation has three serious flaws confirmed experimentally, each of which may be exploited in a cleverly constructed Trojan-horse attack. We discuss requirements for a loophole-free implementation of the monitoring detector.
Reliability analysis of solar photovoltaic system using hourly mean solar radiation data
Moharil, Ravindra M. [Department of Electrical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra (India); Kulkarni, Prakash S. [Department of Electrical Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440011, Maharashtra (India)
2010-04-15T23:59:59.000Z
This paper presents the hourly mean solar radiation and standard deviation as inputs to simulate the solar radiation over a year. Monte Carlo simulation (MCS) technique is applied and MATLAB program is developed for reliability analysis of small isolated power system using solar photovoltaic (SPV). This paper is distributed in two parts. Firstly various solar radiation prediction methods along with hourly mean solar radiation (HMSR) method are compared. The comparison is carried on the basis of predicted electrical power generation with actual power generated by SPV system. Estimation of solar photovoltaic power using HMSR method is close to the actual power generated by SPV system. The deviation in monsoon months is due to the cloud cover. In later part of the paper various reliability indices are obtained by HMSR method using MCS technique. Load model used is IEEE-RTS. Reliability indices, additional load hours (ALH) and additional power (AP) reduces exponentially with increase in load indicates that a SPV source will offset maximum fuel when all of its generated energy is utilized. Fuel saving calculation is also investigated. Case studies are presented for Sagardeep Island in West Bengal state of India. (author)
Omar, M.S., E-mail: dr_m_s_omar@yahoo.com [Department of Physics, College of Science, University of Salahaddin-Erbil, Arbil, Kurdistan (Iraq)
2012-11-15T23:59:59.000Z
Graphical abstract: Three models are derived to explain the nanoparticles size dependence of mean bonding length, melting temperature and lattice thermal expansion applied on Sn, Si and Au. The following figures are shown as an example for Sn nanoparticles indicates hilly applicable models for nanoparticles radius larger than 3 nm. Highlights: ? A model for a size dependent mean bonding length is derived. ? The size dependent melting point of nanoparticles is modified. ? The bulk model for lattice thermal expansion is successfully used on nanoparticles. -- Abstract: A model, based on the ratio number of surface atoms to that of its internal, is derived to calculate the size dependence of lattice volume of nanoscaled materials. The model is applied to Si, Sn and Au nanoparticles. For Si, that the lattice volume is increases from 20 ?{sup 3} for bulk to 57 ?{sup 3} for a 2 nm size nanocrystals. A model, for calculating melting point of nanoscaled materials, is modified by considering the effect of lattice volume. A good approach of calculating size-dependent melting point begins from the bulk state down to about 2 nm diameter nanoparticle. Both values of lattice volume and melting point obtained for nanosized materials are used to calculate lattice thermal expansion by using a formula applicable for tetrahedral semiconductors. Results for Si, change from 3.7 × 10{sup ?6} K{sup ?1} for a bulk crystal down to a minimum value of 0.1 × 10{sup ?6} K{sup ?1} for a 6 nm diameter nanoparticle.
Didier Poilblanc; Norbert Schuch
2013-03-30T23:59:59.000Z
Gapped Z_2 spin liquids have been proposed as candidates for the ground-state of the S=1/2 quantum antiferromagnet on the Kagome lattice. We extend the use of Projected Entangled Pair States to construct (on the cylinder)Resonating Valence Bond (RVB) states including both nearest-neighbor and next-nearest neighbor singlet bonds. Our ansatz -- dubbed "simplex spin liquid" -- allows for an asymmetry between the two types of triangles (of order 2-3% in the energy density after optimization) leading to the breaking of inversion symmetry. We show that the topological Z_2 structure is still preserved and, by considering the presence or the absence of spinon and vison lines along an infinite cylinder, we explicitly construct four orthogonal RVB Minimally Entangled States. The spinon and vison coherence lengths are extracted from a finite size scaling w.r.t the cylinder perimeter of the energy splittings of the four sectors and are found to be of the order of the lattice spacing. The entanglement spectrum of a partitioned (infinite) cylinder is found to be gapless suggesting the occurrence, on a cylinder with {\\it real} open boundaries, of gapless edge modes formally similar to Luttinger liquid (non-chiral) spin and charge modes. When inversion symmetry is spontaneously broken, the RVB spin liquid exhibits an extra Ising degeneracy, which might have been observed in recent exact diagonalisation studies.
Quantum learning of coherent states
Gael Sentís; Madalin Guta; Gerardo Adesso
2014-10-31T23:59:59.000Z
We develop a quantum learning scheme for binary discrimination of coherent states of light. This is a problem of technological relevance for the reading of information stored in a digital memory. In our setting, a coherent light source is used to illuminate a memory cell and retrieve its encoded bit by determining the quantum state of the reflected signal. We consider a situation where the amplitude of the states produced by the source is not fully known, but instead this information is encoded in a large training set comprising many copies of the same coherent state. We show that an optimal global measurement, performed jointly over the signal and the training set, provides higher successful identification rates than any learning strategy based on first estimating the unknown amplitude by means of Gaussian measurements on the training set, followed by an adaptive discrimination procedure on the signal. By considering a simplified variant of the problem, we argue that this is the case even for non-Gaussian estimation measurements. Our results show that, even in absence of entanglement, collective quantum measurements yield an enhancement in the readout of classical information, which is particularly relevant in the operating regime of low-energy signals.
On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering
Ding, Chris; He, Xiaofeng; Simon, Horst D.; Jin, Rong
2008-01-01T23:59:59.000Z
Guan, and B. Kulis. Kernel k-means: spectral clustering and10] C. Ding and X. He. K-means clustering and principalSpectral relaxation for K-means clustering. Advances in
Meaning in architecture : an investigation of the indigenous environment in Bangladesh
Haq, Saif-ul
1992-01-01T23:59:59.000Z
A meaningful environment forms a necessary and essential part of a meaningful existence. Meaning is an interpretive problem, and meaning in architecture is difficult to grasp. Theoretical insights into meaning have to be ...
State of the State's Rural Health
Veiga, Pedro Manuel Barbosa
of health status, health behavior, or health- care access and Oklahomans do not compare favorablyState of the State's Rural Health 2007 Edition Produced by OSU Center for Rural Health ASnapshotof-4391 January 1, 2007 Dear Reader: Welcome to the Oklahoma State University Center for Rural Health's inaugural
Heat flow and geothermal studies in the state of Washington
Blackwell, D.D.; Steele, J.L.; Kelley, S.A.
1985-08-01T23:59:59.000Z
Existing geothermal gradient and heat flow data for the state of Washington are summarized. In addition, information on mean-annual ground surface temperatures is included. The data consist of accurate, detailed temperature-depth measurements in selected available holes throughout the state of Washington made between 1979 and 1982. Measurements of thermal conductivity on selected rock samples from these drill holes and ancillary information required to assess the significance of the data and calculate heat flow values were obtained as well. Information is presented on the mean-annual ground-surface temperatures throughout the state of Washington. 32 refs., 15 figs., 4 tabs.
Wisconsin at Madison, University of
.4.2 K-Means Cluster Analysis 28 5. Results 30 STATES: A COMPARISON OF TWO STATISTICAL METHODS By Ruben J Behnke
Two stochastic mean-field polycrystal plasticity methods
Tonks, Michael [Los Alamos National Laboratory
2008-01-01T23:59:59.000Z
In this work, we develop two mean-field polycrystal plasticity models in which the L{sup c} are approximated stochastically. Through comprehensive CPFEM analyses of an idealized tantalum polycrystal, we verify that the L{sup c} tend to follow a normal distribution and surmise that this is due to the crystal interactions. We draw on these results to develop the STM and the stochastic no-constraints model (SNCM), which differ in the manner in which the crystal strain rates D{sup c} are prescribed. Calibration and validation of the models are performed using data from tantalum compression experiments. Both models predict the compression textures more accurately than the FCM, and the SNCM predicts them more accurately than the STM. The STM is extremely computationally efficient, only slightly more expensive than the FCM, while the SNCM is three times more computationally expensive than the STM.
Radiant energy receiver having improved coolant flow control means
Hinterberger, H.
1980-10-29T23:59:59.000Z
An improved coolant flow control for use in radiant energy receivers of the type having parallel flow paths is disclosed. A coolant performs as a temperature dependent valve means, increasing flow in the warmer flow paths of the receiver, and impeding flow in the cooler paths of the receiver. The coolant has a negative temperature coefficient of viscosity which is high enough such that only an insignificant flow through the receiver is experienced at the minimum operating temperature of the receiver, and such that a maximum flow is experienced at the maximum operating temperature of the receiver. The valving is accomplished by changes in viscosity of the coolant in response to the coolant being heated and cooled. No remotely operated valves, comparators or the like are needed.
Mean motion resonances from planet-planet scattering
Sean N. Raymond; Rory Barnes; Philip J. Armitage; Noel Gorelick
2008-09-19T23:59:59.000Z
Planet-planet scattering is the leading mechanism to explain the large eccentricities of the observed exoplanet population. However, scattering has not been considered important to the production of pairs of planets in mean motion resonances (MMRs). We present results from a large number of numerical simulations of dynamical instabilities in 3-planet systems. We show that MMRs arise naturally in about five percent of cases. The most common resonances we populate are the 2:1 and 3:1 MMRs, although a wide variety of MMRs can occur, including high-order MMRs (up to eleventh order). MMRs are generated preferentially in systems with uneven mass distributions: the smallest planet is typically ejected after a series of close encounters, leaving the remaining, more massive planets in resonance. The distribution of resonant planets is consistent with the phase-space density of resonant orbits, meaning that planets are randomly thrown into MMRs rather than being slowly pulled into them. It may be possible to distinguish between MMRs created by scattering vs. convergent migration in a gaseous disk by considering planetary mass ratios: resonant pairs of planets beyond ~1 AU with more massive outer planets are likely to have formed by scattering. In addition, scattering may be responsible for pairs of planets in high-order MMRs (3:1 and higher) that are not easily populated by migration. The frequency of MMRs from scattering is comparable to the expected survival rate of MMRs in turbulent disks. Thus, planet-planet scattering is likely to be a major contributor to the population of resonant planets.
Magnetic ground state of semiconducting transition metal trichalcogenide monolayers
Sivadas, Mr. Nikhil [Carnegie Mellon University (CMU); Daniels, Matthew W. [Carnegie Mellon University (CMU); Swendsen, Robert H. [Carnegie Mellon University (CMU); Okamoto, Satoshi [ORNL; Xiao, Di [Carnegie Mellon University (CMU)
2015-01-01T23:59:59.000Z
Layered transition-metal trichalcogenides with the chemical formula ABX3 have attracted recent interest as potential candidates for two-dimensional magnets. Using first-principles calculations within density functional theory, we investigate the magnetic ground states of monolayers of Mn- and Cr-based semiconducting trichalcogenides.We show that the second and third nearest-neighbor exchange interactions (J2 and J3) between magnetic ions, which have been largely overlooked in previous theoretical studies, are crucial in determining the magnetic ground state. Specifically, we find that monolayer CrSiTe3 is an antiferromagnet with a zigzag spin texture due to significant contribution from J3, whereas CrGeTe3 is a ferromagnet with a Curie temperature of 106 K. Monolayers of Mn compounds (MnPS3 and MnPSe3) always show antiferromagnetic N eel order. We identify the physical origin of various exchange interactions, and demonstrate that strain can be an effective knob for tuning the magnetic properties. Possible magnetic ordering in the bulk is also discussed. Our study suggests that ABX3 can be a promising platform to explore two-dimensional magnetic phenomena.
States & Emerging Energy Technologies
Broader source: Energy.gov (indexed) [DOE]
States & Emerging Energy Technologies August 15, 2013 DOE's State and Local Technical Assistance Program 2 DOE's Technical Assistance Program * Strategic Energy Planning * Program...
Qutrit Magic State Distillation
Anwar, Hussain; Browne, Dan E
2012-01-01T23:59:59.000Z
Magic state distillation (MSD) is a purification protocol that plays a central role in fault tolerant quantum computation. Repeated iteration of the steps of a MSD protocol, generates pure single non-stabilizer states, or magic states, from multiple copies of a mixed resource state using stabilizer operations only. Thus mixed resource states promote the stabilizer operations to full universality. Magic state distillation was introduced for qubit-based quantum computation, but little has been known concerning MSD in higher dimensional qudit-based computation. Here, we describe a general approach for studying MSD in higher dimensions. We use it to investigate the features of a qutrit MSD protocol based on the 5-qutrit stabilizer code. We show that this protocol distills non-stabilizer magic states, and identify two types of states, that are attractors of this iteration map. Finally, we show how these states may be converted, via stabilizer circuits alone, into a state suitable for state injected implementation ...
Steady state compact toroidal plasma production
Turner, William C. (Livermore, CA)
1986-01-01T23:59:59.000Z
Apparatus and method for maintaining steady state compact toroidal plasmas. A compact toroidal plasma is formed by a magnetized coaxial plasma gun and held in close proximity to the gun electrodes by applied magnetic fields or magnetic fields produced by image currents in conducting walls. Voltage supply means maintains a constant potential across the electrodes producing an increasing magnetic helicity which drives the plasma away from a minimum energy state. The plasma globally relaxes to a new minimum energy state, conserving helicity according to Taylor's relaxation hypothesis, and injecting net helicity into the core of the compact toroidal plasma. Controlling the voltage so as to inject net helicity at a predetermined rate based on dissipative processes maintains or increases the compact toroidal plasma in a time averaged steady state mode.
Otsu method and K-means DongjuLiu, JianYu
Wolberg, George
Otsu method and K-means DongjuLiu, JianYu Department of Computer Science Beijing Jiaotong optimal threshold, while K-means is a local optimal method. Moreover, K-means does not require computing. Therefore, K-means can be more efficiently extended to multilevel thresholding method, two
Secure TwoParty kMeans Clustering Paul Bunn # Rafail Ostrovsky +
Ostrovsky, Rafail
Secure TwoÂParty kÂMeans Clustering Paul Bunn # Rafail Ostrovsky + Abstract The kÂMeans Clustering. To date there have been numerous attempts to create specific multiparty kÂmeans clustering protocols a TwoÂParty kÂMeans Clustering Protocol that guarantees privacy, and is more e#cient than utilizing
Stability yields a PTAS for k-Median and k-Means Clustering Pranjal Awasthi
Blum, Avrim
Stability yields a PTAS for k-Median and k-Means Clustering Pranjal Awasthi Carnegie Mellon and k-means clustering in Euclidean spaces, in the setting where k is part of the input (not a constant). For the k-means problem, Ostrovsky et al. [18] show that if the optimal (k-1)-means clustering of the input
Secure TwoParty kMeans Clustering Paul Bunn # Rafail Ostrovsky +
Secure TwoParty kMeans Clustering Paul Bunn # Rafail Ostrovsky + Abstract The kMeans Clustering describe a TwoParty kMeans Clustering Protocol that guarantees privacy, and is more e#cient than of our result is a way to compute e#ciently multiple iter ations of kmeans clustering without revealing
K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes
Bernstein, Phil
K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes. In this paper, we present a hashing method adopting the k-means quantization. We propose a novel Affinity-Preserving K-means algorithm which simultane- ously performs k-means clustering and learns the binary indices
Color Image Segmentation Using a Spatial K-Means Clustering Algorithm
Whelan, Paul F.
Color Image Segmentation Using a Spatial K-Means Clustering Algorithm Dana Elena Ilea and Paul F-texture segmentation that is a generalization of the standard K-Means algorithm. The standard K-Means algorithm. In addition, the initialization of the K-Means algorithm is problematic and usually the initial cluster
James-Stein Shrinkage to Improve K-means Cluster Analysis
Hitchcock, David B.
James-Stein Shrinkage to Improve K-means Cluster Analysis Jinxin Gao Eli Lilly and Company in k-means cluster- ing. We shrink the centroids of clusters toward the overall mean of all data using in the next clustering iteration until convergence. We compare the shrinkage results to the traditional k-means
James-Stein Shrinkage to Improve K-means Cluster Analysis
Hitchcock, David B.
James-Stein Shrinkage to Improve K-means Cluster Analysis Jinxin Gao Eli Lilly and Company-Stein shrinkage effect in k-means cluster- ing. We shrink the centroids of clusters toward the overall mean of all to the traditional k-means method. Monte Carlo simulation shows that the magnitude of the improvement depends
Improved Smoothed Analysis of the k-Means Method Bodo Manthey
Al Hanbali, Ahmad
Improved Smoothed Analysis of the k-Means Method Bodo Manthey Heiko R¨oglin Abstract The k-means ) on the smoothed running- time of the k-means method, where n is the number of data points and is the standard larger than the running-time observed in practice. We improve the smoothed analysis of the k-means method
Sandia Energy - Solid-State Lighting Technology: Current State...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Solid-State Lighting Technology: Current State of the Art and Grand Challenges Home Energy Research EFRCs Solid-State Lighting Science EFRC Overview Solid-State Lighting...
Nonextensive critical effects in relativistic nuclear mean field models
J. Rozynek; G. Wilk
2011-02-22T23:59:59.000Z
We present a possible extension of the usual relativistic nuclear mean field models widely used to describe nuclear matter towards accounting for the influence of possible intrinsic fluctuations caused by the environment. Rather than individually identifying their particular causes we concentrate on the fact that such effects can be summarily incorporated in the changing of the statistical background used, from the usual (extensive) Boltzman-Gibbs one to the nonextensive taken in the form proposed by Tsallis with a dimensionless nonextensivity parameter $q$ responsible for the above mentioned effects (for $q \\rightarrow 1$ one recovers the usual BG case). We illustrate this proposition on the example of the QCD-based Nambu - Jona-Lasinio (NJL) model of a many-body field theory describing the behavior of strongly interacting matter presenting its nonextensive version. We check the sensitivity of the usual NJL model to a departure from the BG scenario expressed by the value of $| q - 1|$, in particular in the vicinity of critical points.
Measuring the Neutron's Mean Square Charge Radius Using Neutron Interferometry
F. E. Wietfeldt; M. Huber; T. C. Black; H. Kaiser; M. Arif; D. L. Jacobson; S. A. Werner
2005-09-14T23:59:59.000Z
The neutron is electrically neutral, but its substructure consists of charged quarks so it may have an internal charge distribution. In fact it is known to have a negative mean square charge radius (MSCR), the second moment of the radial charge density. In other words the neutron has a positive core and negative skin. In the first Born approximation the neutron MSCR can be simply related to the neutron-electron scattering length b_ne. In the past this important quantity has been extracted from the energy dependence of the total transmission cross-section of neutrons on high-Z targets, a very difficult and complicated process. A few years ago S.A. Werner proposed a novel approach to measuring b_ne from the neutron's dynamical phase shift in a perfect crystal close to the Bragg condition. We are conducting an experiment based on this method at the NIST neutron interferometer which may lead to a five-fold improvement in precision of b_ne and hence the neutron MSCR.
Ground state and thermal properties of a lattice gas on a cylindrical surface
M. Mercedes Calbi; Silvina M. Gatica; Mary J. Bojan; Milton W. Cole
2002-09-25T23:59:59.000Z
Adsorbed gases within, or outside of, carbon nanotubes may be analyzed with an approximate model of adsorption on lattice sites situated on a cylindrical surface. Using this model, the ground state energies of alternative lattice structures are calculated, assuming Lennard-Jones pair interactions between the particles. The resulting energy and equilibrium structure are nonanalytic functions of radius (R) because of commensuration effects associated with the cylindrical geometry. Specifically, as R varies, structural transitions occur between configurations differing in the "ring number", defined as the number of atoms located at a common value of the longitudinal coordinate (z). The thermodynamic behavior of this system is evaluated at finite temperatures, using a Hamiltonian with nearest-neighbor interactions. The resulting specific heat bears a qualitative resemblance to that of the one-dimensional Ising model.
Perfect and flexible quantum state transfer in the hybrid system atom coupled-cavity
Bruno F. C. Yabu-uti; José A. Roversi
2010-08-20T23:59:59.000Z
We investigate a system composed of $N$ coupled cavities and two-level atoms interacting one at a time. Adjusting appropriately the atom-field detuning, and make the hopping rate of photons between neighboring cavities, $A$, greater than the atom-field coupling $g$ (i.e. $A>>g$), we can eliminate the interaction of the atom with the nonresonant normal modes reducing the dynamics to the interaction of the atom with only a single-mode. As an application of this interaction, we analyze the transmission of an arbitrary atomic quantum state between distant coupled cavities. In the ideal case, we obtain a flexible and perfect quantum communication. Considering the influence of dissipation an interesting parity effect emerge and we obtain $N$ maximum in which it is still possible to achieve a quantum communication more efficient than a purely classical channel between the ends. We also studied important sources of imperfections in procedure execution.
V. S. Shchesnovich
2012-03-27T23:59:59.000Z
We introduce the notion of dissipative periodic lattice as an optical lattice with periodically distributed dissipative sites and argue that it allows to engineer unconventional Bose-Einstein superfluids with the complex-valued order parameter. We consider two examples, the one-dimensional dissipative optical lattice, where each third site is dissipative, and the dissipative honeycomb optical lattice, where each dissipative lattice site neighbors three non-dissipated sites. The tight-binding approximation is employed, which allows one to obtain analytical results. In the one-dimensional case the condensate is driven to a coherent Bloch-like state with non-zero quasimomentum, which breaks the translational periodicity of the dissipative lattice. In the two-dimensional case the condensate is driven to a zero quasimomentum Bloch-like state, which is a coherent superposition of four-site discrete vortices of alternating vorticity with the vortex centers located at the dissipative sites.
M. M. Sharma
2008-07-03T23:59:59.000Z
A new Lagrangian model without nonlinear scalar self-interactions in the relativistic mean-field (RMF) theory is proposed. Introducing terms for scalar-vector interactions (SVI), we have developed a RMF Lagrangian model for finite nuclei and nuclear matter. It is shown that by inclusion of SVI in the basic RMF Lagrangian, the nonlinear sigma^3 and sigma^4 terms can be dispensed with. The SVI Lagrangian thus obtained provides a good description of ground-state properties of nuclei along the stability line as well as far away from it. This Lagrangian model is also able to describe experimental data on the breathing-mode giant monopole resonance energies well.
Ramsey, Michael Wiechmann
2006-04-12T23:59:59.000Z
on Mean Arterial Pressure, Heart Rate, and Regional Cardiac Output Distribution in Aging Rats. (December 2005) Michael Wiechmann Ramsey, B.S.; M.A., Sam Houston State University Chair of Advisory Committee: Dr. Michael Delp Many senescent... to extend my gratitude to my friends as well as the faculty and staff that have supported me throughout my studies at Texas A&M University. Thanks also to Dr. Gary Oden who helped instill a love and appreciation of Exercise Physiology. A special thanks...
Deák, Gedeon O; Narasimham, Gayathri
2013-01-01T23:59:59.000Z
using ?exibility in the new Flexible Induction of Meanings [with an established test (Flexible Induction of Meanings [example, in studies using the Flexible Induction of Meanings
Preconceptual Feasibility Study to Evaluate Alternative Means to Produce Plutonium-238
John D. Bess; Matthew S. Everson
2013-02-01T23:59:59.000Z
There is currently no large-scale production of 238Pu in the United States. Feasibility studies were performed at the Idaho National Laboratory to assess the capability of developing alternative 238Pu production strategies. Initial investigations indicate potential capability to provision radioisotope-powered systems for future space exploration endeavors. For the short term production of 238Pu, sealed canisters of dilute 237Np solution in nitric acid could be irradiated in the Advanced Test Reactor (ATR). Targets in the large and medium “I” positions of the ATR were irradiated over a simulated period of 306 days and analyzed using MCNP5 and ORIGEN2.2. Approximately 0.5 kg of 238Pu could be produced annually in the ATR with purity greater than 92%. Optimization of the irradiation cycles could further increase the purity to greater than 98%. Whereas the typical purity of space batteries is between 80 to 85%, the higher purity 238Pu produced in the ATR could be blended with existing lower-purity inventory to produce useable material. Development of irradiation methods in the ATR provides the fastest alterative to restart United States 238Pu production. The analysis of 238Pu production in the ATR provides the technical basis for production using TRIGA® (Training, Research, Isotopes, General Atomics) nuclear reactors. Preliminary analyses envisage a production rate of approximately 0.7 kg annually using a single dedicated 5-MW TRIGA reactor with continuous flow loops to achieve high purity product. Two TRIGA reactors represent a robust means of providing at over 1 kg/yr of 238Pu annually using dilute solution targets of 237Np in nitric acid. Further collaboration and optimization of reactor design, radiochemical methods, and systems analyses would further increase annual 238Pu throughput, while reducing the currently evaluated reactor requirements.
State Water Quality (Virginia)
Broader source: Energy.gov [DOE]
It is the policy of the Commonwealth of Virginia to: (1) protect existing high quality state waters and restore the quality of all other state waters to permit all reasonable public uses and...
Southern States Energy Compact (Multiple States)
Broader source: Energy.gov [DOE]
The Southern States Energy Compact provides for the proper employment and conservation of energy, and for the employment of energy-related facilities, materials, and products, within the context of...
States & Emerging Energy Technologies
Broader source: Energy.gov [DOE]
This presentation, given through the DOE's Technical Assitance Program (TAP), provides information on States & Emerging Energy Technologies.
Energy Science and Technology Software Center (OSTI)
003198MLTPL00 AASG State Geothermal Data Repository for the National Geothermal Data System. http://repository.stategeothermaldata.org/repository/
FISHERY STATISTICS UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1972 STATISTICAL DIGEST NO. 66 Prepared by STATISTICS;ACKNOWLEDGMENTS The data in this edition of "Fishery Statistics of the United States" were collected in co- operation with the various States and tabulated by the staff of the Statistics and Market News Division
Sustainability Cal State Fullerton
de Lijser, Peter
Sustainability at Cal State Fullerton A Report from the Sustainability Initiative Study Group October 28, 2008 #12;Sustainability at Cal State Fullerton A Report from the Sustainability Initiative Safety Sally Yassine Contracts & Procurement #12;Sustainability at Cal State Fullerton A Report from
MICHIGAN STATE UNIVERSITY INTRODUCTIONi.
#12;2 MICHIGAN STATE UNIVERSITY INTRODUCTIONi. Welcome to the Online Professional Master of Science), and the College of Veterinary Medicine (CVM) at Michigan State University (MSU). This booklet contains important, Program Director Online Master of Science in Food Safety Michigan State University 1129 Farm Lane, Rm B 51
F. V. Mendes; R. V. Ramos
2014-08-20T23:59:59.000Z
In a recent paper it has been shown how to create a quantum state related to the prime number sequence using Grover's algorithm. Moreover, its multiqubit entanglement was analyzed. In the present work, we compare the multiqubit entanglement of several quantum sequence states as well we study the feasibility of producing such states using Grover's algorithm.
Ground State Quantum Computation
Ari Mizel; M. W. Mitchell; Marvin L. Cohen
1999-08-11T23:59:59.000Z
We formulate a novel ground state quantum computation approach that requires no unitary evolution of qubits in time: the qubits are fixed in stationary states of the Hamiltonian. This formulation supplies a completely time-independent approach to realizing quantum computers. We give a concrete suggestion for a ground state quantum computer involving linked quantum dots.
Hamel, William R. (Farragut, TN)
1984-01-01T23:59:59.000Z
This invention relates to a new method and new apparatus for determining fluid mass flowrate and density. In one aspect of the invention, the fluid is passed through a straight cantilevered tube in which transient oscillation has been induced, thus generating Coriolis damping forces on the tube. The decay rate and frequency of the resulting damped oscillation are measured, and the fluid mass flowrate and density are determined therefrom. In another aspect of the invention, the fluid is passed through the cantilevered tube while an electrically powered device imparts steady-state harmonic excitation to the tube. This generates Coriolis tube-damping forces which are dependent on the mass flowrate of the fluid. Means are provided to respond to incipient flow-induced changes in the amplitude of vibration by changing the power input to the excitation device as required to sustain the original amplitude of vibration. The fluid mass flowrate and density are determined from the required change in power input. The invention provides stable, rapid, and accurate measurements. It does not require bending of the fluid flow.
The Hamiltonian Mean Field model: effect of network structure on synchronization dynamics
Yogesh S. Virkar; Juan G. Restrepo; James D. Meiss
2015-03-16T23:59:59.000Z
The Hamiltonian Mean Field (HMF) model of coupled inertial, Hamiltonian rotors is a prototype for conservative dynamics in systems with long-range interactions. We consider the case where the interactions between the rotors are governed by a network described by a weighted adjacency matrix. By studying the linear stability of the incoherent state, we find that the transition to synchrony occurs at a coupling constant $K$ inversely proportional to the largest eigenvalue of the adjacency matrix. We derive a closed system of equations for a set of local order parameters and use these equations to study the effect of network heterogeneity on the synchronization of the rotors. We find that for values of $K$ just beyond the transition to synchronization the degree of synchronization is highly dependent on the network's heterogeneity, but that for large values of $K$ the degree of synchronization is robust to changes in the heterogeneity of the network's degree distribution. Our results are illustrated with numerical simulations on Erd\\"os-Renyi networks and networks with power-law degree distributions.
Golbeck, Jennifer
- 1 - Understanding Clusters in Multidimensional Spaces: Making Meaning by Combining Insights from: Cluster Analysis, Interactive Design, Information Visualization, Coordination, Domain Knowledge, Graphical. #12;- 2 - Understanding Clusters in Multidimensional Spaces: Making Meaning by Combining Insights from
How Fast is the k-means Method? Sariel Har-Peled
Toronto, University of
How Fast is the k-means Method? Sariel Har-Peled Bardia Sadri Abstract We present polynomial upper and lower bounds on the number of iterations performed by the k-means method (a.k.a. Lloyd's method) for k-means of the point set. We also present a lower bound, showing that in the worst case the k-means heuristic needs
MODERN DISPLAYS: WHY WE SEE DIFFERENT COLORS, AND WHAT IT MEANS? Abhijit Sarkar1,2
Paris-Sud XI, UniversitÃ© de
MODERN DISPLAYS: WHY WE SEE DIFFERENT COLORS, AND WHAT IT MEANS? Abhijit Sarkar1,2 , Laurent BlondÃ©
An impurity-induced gap system as a quantum data bus for quantum state transfer
Bing Chen; Yong Li; Z. Song; C. -P. Sun
2015-01-02T23:59:59.000Z
We introduce a tight-binding chain with a single impurity to act as a quantum data bus for perfect quantum state transfer. Our proposal is based on the weak coupling limit of the two outermost quantum dots to the data bus. First show that the data bus has an energy gap between the ground and first-excited states in the single-particle case induced by the impurity in the single particle case. By connecting two quantum dots to two sites of the data bus, the system can accomplish a high-fidelity and long-distance quantum state transfer. Numerical simulations were performed for a finite system; the results show that the numerical and analytical results of the effective coupling strength agree well with each other. Moreover, we study the robustness of this quantum communication protocol in the presence of disorder in the couplings between the nearest-neighbor quantum dots. We find that the gap of the system plays an important role in robust quantum state transfer.
Tracking in Presence of Total Occlusion and Size Variation using Mean Shift and Kalman Filter
Paris-Sud XI, Université de
Tracking in Presence of Total Occlusion and Size Variation using Mean Shift and Kalman Filter Oscar using mean shift and the Kalman filter, which was added to the traditional algorithm as a predictor when mean shift Kalman filter algorithm improves the tracking performance of the classical algorithms
Real Option Pricing with Mean-Reverting Investment and Project Value
Zubelli, Jorge Passamani
to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct result the value of investment in an oil field is also mean-reverting. Consequently, it would not be appropriateReal Option Pricing with Mean-Reverting Investment and Project Value October 1st, 2009 #12;Abstract
Real Option Pricing with Mean-Reverting Investment and Project Value
Zubelli, Jorge Passamani
is the valuation of the option to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct result the value of investment in an oil field is also mean-reverting. Consequently, it wouldReal Option Pricing with Mean-Reverting Investment and Project Value Sebastian Jaimungal , Max
Hybrid K-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR
Mirkin, Boris
Hybrid K-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR Robert Stanforth1 traditional methods of cluster-analysis such as K-Means clustering may not work very well because they capture in the space of input variables. The combined clustering criterion is referred to as the hybrid K-means cri
Constrained K-means Clustering with Background Knowledge Kiri Wagstaff wkiri@cs.cornell.edu
Wagstaff, Kiri L.
Constrained K-means Clustering with Background Knowledge Kiri Wagstaff wkiri@cs.cornell.edu Claire the popular k-means clustering algorithm can be profitably modi- fied to make use of this information. In ex, 2000). K-means is another popular clustering algorithm that has been used in a variety of application
Continuous K-Means Monitoring with Low Reporting Cost in Sensor Networks
Morik, Katharina
Continuous K-Means Monitoring with Low Reporting Cost in Sensor Networks Ming Hua, Man Ki Lau, Jian an interesting problem: continuously monitoring k-means clustering of sensor readings in a large sensor network. Given a set of sensors whose readings evolve over time, we want to maintain the k-means of the readings
k-means--: A unified approach to clustering and outlier detection Sanjay Chawla
Gionis, Aristides
k-means--: A unified approach to clustering and outlier detection Sanjay Chawla Aristides Gionis. Our approach is formalized as a generalization of the k-means problem. We prove that the problem is NP will propose a generalization of the k-means problem with the aim of simultaneously clus- tering data
A Generalization of Proximity Functions for K-means , Hui Xiong2
Xiong, Hui
A Generalization of Proximity Functions for K-means Junjie Wu1 , Hui Xiong2 , Jian Chen1 , Wenjun@andromeda.rutgers.edu, wjzhou@pegasus.rutgers.edu Abstract K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However
A Prototypes-Embedded Genetic K-means Algorithm Shih-Sian Cheng1,2
Wang, Hsin-Min
A Prototypes-Embedded Genetic K-means Algorithm Shih-Sian Cheng1,2 , Yi-Hsiang Chao1,2 , Hsin into the chromosomes. The crossover operator is designed to exchange prototypes between two chromosomes. The one-step K-means K-means algorithm (PGKA). With the inherent evolution process of evolutionary algorithms, PGKA has
Fast and Exact Out-of-Core K-Means Clustering Anjan Goswami Ruoming Jin
Jin, Ruoming
Fast and Exact Out-of-Core K-Means Clustering Anjan Goswami Ruoming Jin Department of Computer Abstract Clustering has been one of the most widely studied top- ics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes on the entire
Nov 16th, 2001Copyright 2001, Andrew W. Moore K-means and
Silvano, Cristina
1 Nov 16th, 2001Copyright Â© 2001, Andrew W. Moore K-means and Hierarchical Clustering Andrew W gratefully received. Copyright Â© 2001, Andrew W. Moore K-means and Hierarchical Clustering: Slide 2 Some Data, friendly and infinitely popular alternative... Copyright Â© 2001, Andrew W. Moore K-means and Hierarchical
K-means Clustering via Principal Component Analysis Chris Ding chqding@lbl.gov
Ding, Chris
K-means Clustering via Principal Component Analysis Chris Ding chqding@lbl.gov Xiaofeng He xhe component analysis (PCA) is a widely used statistical technique for unsuper- vised dimension reduction. K-means that principal components are the continuous solutions to the discrete cluster membership indicators for K-means
A Deterministic Method for Initializing K-means Clustering Northeastern University
Dy, Jennifer G.
A Deterministic Method for Initializing K-means Clustering Ting Su Northeastern University Boston@ece.neu.edu Abstract The performance of K-means clustering depends on the initial guess of partition. In this paper, we. The criterion that K-means clustering minimizes is the SSE (sum-squared-error) criterion. The first principal di
Constrained K-means Clustering with Background Knowledge Kiri Wagsta wkiri@cs.cornell.edu
Cardie, Claire
Constrained K-means Clustering with Background Knowledge Kiri Wagsta#11; wkiri, we demonstrate how the popular k-means clustering algorithm can be pro#12;tably modi- #12;ed to make to constrain their clus- ter placement (Wagsta#11; & Cardie, 2000). K-means is another popular clustering
Kernel k-means, Spectral Clustering and Normalized Cuts Inderjit S. Dhillon
Ghosh, Joydeep
Kernel k-means, Spectral Clustering and Normalized Cuts Inderjit S. Dhillon Dept. of Computer. of Computer Sciences University of Texas at Austin Austin, TX 78712 kulis@cs.utexas.edu ABSTRACT Kernel k-means an ex- plicit theoretical connection between them. We show the generality of the weighted kernel k-means
K-means Clustering versus Validation Measures: A Data Distribution Perspective
Xiong, Hui
K-means Clustering versus Validation Measures: A Data Distribution Perspective Hui Xiong Rutgers University jchen@mail.tsinghua.edu.cn ABSTRACT K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation
Analysis of k-means++ for Separable Data Ragesh Jaiswal1
Prasad, Sanjiva
Analysis of k-means++ for Separable Data Ragesh Jaiswal1 and Nitin Garg1 Department of Computer Science and Engineering, IIT Delhi, New Delhi, India. {cs5070222 , rjaiswal}@cse.iitd.ac.in. Abstract. k-means is the point set), then the sampling algorithm gives an O(1)-approximation for the k-means problem
In Search of Deterministic Methods for Initializing K-Means and Gaussian Mixture
Dy, Jennifer G.
In Search of Deterministic Methods for Initializing K-Means and Gaussian Mixture Clustering Ting Su of K-means and Gaussian mixture model (GMM) clustering depends on the initial guess of partitions) partitioning and Var-Part (Variance Partitioning). K-means clustering tries to minimize the sum-squared- error
Constrained K-means Clustering with Background Knowledge Kiri Wagsta wkiri@cs.cornell.edu
Wagstaff, Kiri L.
Constrained K-means Clustering with Background Knowledge Kiri Wagsta#11; wkiri how the popular k-means clustering algorithm can be pro#12;tably modi- #12;ed to make use#11; & Cardie, 2000). K-means is another popular clustering algorithm that has been used in a variety
Mandarin Digital Speech Recognition Based on a Chaotic Neural Network and Fuzzy C-means Clustering
Freeman, Walter J.
performance than the hard k-means clustering. I. INTRODUCTION Digital speech recognition can be widely used of the feature vectors varies along with the lasting time of different digital speech. So, the k-means clustering the extracted features of ambiguous Mandarin digital speech in comparison with the k-means clustering algorithm
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
Cheung, Yiu-ming
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters Mark Junjie--In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term to the objective function to make
Learning Manifolds with K-Means and K-Flats Guille D. Canas ,
Poggio, Tomaso
Learning Manifolds with K-Means and K-Flats Guille D. Canas , Tomaso Poggio , Lorenzo A. Rosasco samples. In particular, we consider piecewise constant and piecewise linear estima- tors induced by k-means and k-flats, and analyze their performance. We extend previous results for k-means in two separate
Learning feature weights for K-Means clustering using the Minkowski metric
Amorim, Renato Cordeiro de
Learning feature weights for K-Means clustering using the Minkowski metric Renato Cordeiro de or award at this or any other academic institution. Signed: Renato Cordeiro de Amorim #12;iii Abstract K-Means are taken from a database just because they are available. Another issue of our concern is that K-Means
A Simple Linear Time (1 + )-Approximation Algorithm for k-Means Clustering in Any Dimensions
Sen, Sandeep
A Simple Linear Time (1 + )-Approximation Algorithm for k-Means Clustering in Any Dimensions Amit@cse.iitd.ernet.in Abstract We present the first linear time (1+)-approximation al- gorithm for the k-means problem for fixed of the most popular definitions of cluster- ing is the k-means clustering problem. Given a set of points P
How Fast is the k-means Method? Sariel Har-Peled
Har-Peled, Sariel
How Fast is the k-means Method? Sariel Har-Peled Bardia Sadri October 12, 2004 Abstract We present polynomial upper and lower bounds on the number of iterations per- formed by the k-means method (a.k.a. Lloyd's method) for k-means clustering. Our upper bounds are polynomial in the number of points, number
How Fast is the k-means Method? Sariel Har-Peled
Toronto, University of
How Fast is the k-means Method? Sariel Har-Peled Bardia Sadri January 2, 2010 Abstract We present polynomial upper and lower bounds on the number of iterations performed by the k-means method (a.k.a. Lloyd's method) for k-means clustering. Our upper bounds are polynomial in the number of points, number
Learning Feature Representations with K-means Adam Coates and Andrew Y. Ng
Bejerano, Gill
Learning Feature Representations with K-means Adam Coates and Andrew Y. Ng Stanford University effectively. Recently, it has been found that K-means clustering can be used as a fast alternative training. On the other hand, employing this method in practice is not completely trivial: K-means has several limitations
A Modified K-Means Clustering with a Density-Sensitive Distance Metric
Bo, Liefeng
A Modified K-Means Clustering with a Density-Sensitive Distance Metric Ling Wang, Liefeng Bo {wliiip, blf0218}@163.com, lchjiao@mail.xidian.edu.cn Abstract. The K-Means clustering is by far the most characteristic of data clus- tering. By using this dissimilarity measure, a density-sensitive K-Means clustering
Moment-based Uniform Deviation Bounds for k-means and Friends
Wang, Deli
Moment-based Uniform Deviation Bounds for k-means and Friends Matus Telgarsky Sanjoy Dasgupta are fit to m points by heuristically minimizing the k-means cost; what is the corresponding fit over this mechanism, a soft clustering variant of k-means cost is also considered, namely the log likelihood of a Gaus
Penalized and weighted K-means for clustering with noise and prior
Tseng, George C. "Chien-Cheng"
Penalized and weighted K-means for clustering with noise and prior information incorporation George;Outline Intro of cluster analysis Model-based clustering Heuristic methods Hierarchical clustering K-means & K-memoids ...... A motivating example (yeast cell cycle microarray data) Penalized weighted K-means
Paternal age related schizophrenia (PARS): latent subgroups detected by k-means clustering analysis
Ahn, Hongshik
1 Paternal age related schizophrenia (PARS): latent subgroups detected by k-means clustering of schizophrenia with distinct etiology, pathophysiology and symptoms. This study uses a k-means clustering-R) and olfaction (University of Pennsylvania Smell Identification Test; UPSIT). We conducted a series of k-means
REGULARISED k-MEANS CLUSTERING FOR DIMENSION REDUCTION APPLIED TO SUPERVISED CLASSIFICATION
McLachlan, Geoff
REGULARISED k-MEANS CLUSTERING FOR DIMENSION REDUCTION APPLIED TO SUPERVISED CLASSIFICATION]. The most popular clustering methods are hierarchical and k-means. However, several key issues for the analysis of large datasets is limited. The procedure k-means is relatively scalable and efficient when
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
Al Hanbali, Ahmad
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences Bodo Manthey1 Department of Quantitative Economics, Maastricht University heiko@roeglin.org Abstract. The k-means algorithm entropy, which is commonly used to cluster web pages. In this paper, we analyze the running-time of the k-means
Refining k-means by Bootstrap and Data Depth Aurora Torrente and Juan Romo
Romo, Juan
Refining k-means by Bootstrap and Data Depth Aurora Torrente and Juan Romo Departamento de Estad two simple, computationally fast methods that allow the refinement of the initial points of k-means to cluster a given data set. They are based on alternating k-means and the search of the deepest (most
Al Hanbali, Ahmad
A Smoothed Analysis of the k-Means Method DAVID ARTHUR, Stanford University, Department of Computer of Bonn, Department of Computer Science The k-means method is one of the most widely used clustering analysis, the k-means method has been studied in the model of smoothed analysis. But even the smoothed
Multi-Resolution K-Means Clustering of Time Series and Application to Images
Lin, Jessica
Multi-Resolution K-Means Clustering of Time Series and Application to Images Michail Vlachos using orthonormal decompositions, we present an anytime version of the k-Means algorithm. The algorithm centers for k-Means is mitigated by assigning the final centers at each approximation level as the initial
Impartial Trimmed k-means for Functional Juan Antonio Cuesta-Albertos a 1
Cuesta, Juan Antonio
Impartial Trimmed k-means for Functional Data Juan Antonio Cuesta-Albertos a 1 , Ricardo Fraiman b. For cluster analysis, impartial trimming techniques offer a resistant alternative to k-means, one of the most widely used cluster methods. A quick description of k-means is the following: · For a fixed value of k
Efficient Disk-based K-means Clustering for Relational Databases
Ordonez, Carlos
1 Efficient Disk-based K-means Clustering for Relational Databases Carlos Ordonez Edward Omiecinski Teradata, NCR Georgia Institute of Technology San Diego, CA 92127, USA Atlanta, GA 30332, USA Abstract--K-means- plementation of K-means. The proposed algorithm is designed to work inside a relational database management
Decentralized K-means using randomized Gossip protocols for clustering large datasets
Paris-Sud XI, Université de
Decentralized K-means using randomized Gossip protocols for clustering large datasets Jerome Fellus datasets distributed over a network of computational units using a decentralized K-means algorithm with a centralized K-means, provided a bound on the number of messages each node has to send is met. We provide
CONSENSUS-BASED K-MEANS ALGORITHM FOR DISTRIBUTED LEARNING USING WIRELESS SENSOR NETWORKS
Pleite, Alfonso Cano
CONSENSUS-BASED K-MEANS ALGORITHM FOR DISTRIBUTED LEARNING USING WIRELESS SENSOR NETWORKS Pedro A centralized clustering ap- proaches impractical. This paper develops two decentralized k-means algorithms that distributed k- means are less sensitive to initialization than their centralized counterparts resulting
Estimating quality factor and mean grain size of sediments from high-resolution marine seismic data
National Oceanography Centre Southampton
model of quality factor against mean grain size from published sediment studies, the mean grain sizes with frequency. The Biot-Stoll model shows a marked velocity dispersion and nonlinear transition in compressionalEstimating quality factor and mean grain size of sediments from high-resolution marine seismic data
State and Local Code Implementation: State Energy Officials ...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
State Energy Officials - 2014 BTO Peer Review State and Local Code Implementation: State Energy Officials - 2014 BTO Peer Review Presenter: Chris Wagner, National Association of...
State Clean Energy Policies Analysis: State, Utility, and Municipal...
State, Utility, and Municipal Loan Programs Jump to: navigation, search Name State Clean Energy Policies Analysis: State, Utility, and Municipal Loan Programs AgencyCompany...
Bounds on Quantum Multiple-Parameter Estimation with Gaussian State
Yang Gao; Hwang Lee
2014-07-28T23:59:59.000Z
We investigate the quantum Cramer-Rao bounds on the joint multiple-parameter estimation with the Gaussian state as a probe. We derive the explicit right logarithmic derivative and symmetric logarithmic derivative operators in such a situation. We compute the corresponding quantum Fisher information matrices, and find that they can be fully expressed in terms of the mean displacement and covariance matrix of the Gaussian state. Finally, we give some examples to show the utility of our analytical results.
Survey of state water laws affecting coal slurry pipeline development
Rogozen, M.B.
1980-11-01T23:59:59.000Z
This report summarizes state water laws likely to affect the development of coal slurry pipelines. It was prepared as part of a project to analyze environmental issues related to energy transportation systems. Coal slurry pipelines have been proposed as a means to expand the existing transportation system to handle the increasing coal shipments that will be required in the future. The availability of water for use in coal slurry systems in the coal-producing states is an issue of major concern.
Typical support and Sanov large deviations of correlated states
I. Bjelakovic; J. -D. Deuschel; T. Krueger; R. Seiler; Ra. Siegmund-Schultze; A. Szkola
2007-03-28T23:59:59.000Z
Discrete stationary classical processes as well as quantum lattice states are asymptotically confined to their respective typical support, the exponential growth rate of which is given by the (maximal ergodic) entropy. In the iid case the distinguishability of typical supports can be asymptotically specified by means of the relative entropy, according to Sanov's theorem. We give an extension to the correlated case, referring to the newly introduced class of HP-states.
A local Echo State Property through the largest Lyapunov exponent
Mathieu Galtier; Gilles Wainrib
2015-05-24T23:59:59.000Z
Echo State Networks are efficient time-series predictors, which highly depend on the value of the spectral radius of the reservoir connectivity matrix. Based on recent results on the mean field theory of driven random recurrent neural networks, enabling the computation of the largest Lyapunov exponent of an ESN, we develop a cheap algorithm to establish a local and operational version of the Echo State Property.
A fast version of the k-means classification algorithm for astronomical applications
Ordovás-Pascual, I
2014-01-01T23:59:59.000Z
Context. K-means is a clustering algorithm that has been used to classify large datasets in astronomical databases. It is an unsupervised method, able to cope very different types of problems. Aims. We check whether a variant of the algorithm called single-pass k-means can be used as a fast alternative to the traditional k-means. Methods. The execution time of the two algorithms are compared when classifying subsets drawn from the SDSS-DR7 catalog of galaxy spectra. Results. Single-pass k-means turn out to be between 20 % and 40 % faster than k-means and provide statistically equivalent classifications. This conclusion can be scaled up to other larger databases because the execution time of both algorithms increases linearly with the number of objects. Conclusions. Single-pass k-means can be safely used as a fast alternative to k-means.
State Technologies Advancement Collaborative
David S. Terry
2012-01-30T23:59:59.000Z
The U. S. Department of Energy (DOE), National Association of State Energy Officials (NASEO), and Association of State Energy Research and Technology Transfer Institutions (ASERTTI) signed an intergovernmental agreement on November 14, 2002, that allowed states and territories and the Federal Government to better collaborate on energy research, development, demonstration and deployment (RDD&D) projects. The agreement established the State Technologies Advancement Collaborative (STAC) which allowed the states and DOE to move RDD&D forward using an innovative competitive project selection and funding process. A cooperative agreement between DOE and NASEO served as the contracting instrument for this innovative federal-state partnership obligating funds from DOE's Office of Energy Efficiency and Renewable Energy and Office of Fossil Energy to plan, fund, and implement RDD&D projects that were consistent with the common priorities of the states and DOE. DOE's Golden Field Office provided Federal oversight and guidance for the STAC cooperative agreement. The STAC program was built on the foundation of prior Federal-State efforts to collaborate on and engage in joint planning for RDD&D. Although STAC builds on existing, successful programs, it is important to note that it was not intended to replace other successful joint DOE/State initiatives such as the State Energy Program or EERE Special Projects. Overall the STAC process was used to fund, through three competitive solicitations, 35 successful multi-state research, development, deployment, and demonstration projects with an overall average non-federal cost share of 43%. Twenty-two states were awarded at least one prime contract, and organizations in all 50 states and some territories were involved as subcontractors in at least one STAC project. Projects were funded in seven program areas: (1) Building Technologies, (2) Industrial Technologies, (3) Transportation Technologies, (4) Distributed Energy Resources, (5) Hydrogen Technology Learning Centers, (6) Fossil Energy, and (7) Rebuild America.
Schloemer, Russell
2012-08-31T23:59:59.000Z
Despite a modern agricultural surplus relative to humanity's food needs and established means of transport, famine remains a threat for several states around the world. It would seem obvious that famine would be a strong ...
Cluster states and isoscalar monopole transitions of $^{24}$Mg
Chiba, Y
2015-01-01T23:59:59.000Z
We investigate structure of the excited $0^+$ states of $^{24}$Mg populated by isoscalar monopole transition from the ground state on the basis of antisymmetrized molecular dynamics calculation with Gogny D1S interaction. The calculated isoscalar monopole strength function shows reasonable agreement with experiment and is consistent with other theoretical calculation. The structure of the excited $0^+$ states with pronounced isoscalar monopole transitions are analyzed. It is found that the $0^+_2$, $0^+_3$ and $0^+_5$ states have mixed nature of mean-field and cluster, and that the $0^+_8$ state is dominated by $^{12}$C+$^{12}$C cluster configuration. In addition, it is predicted that $5\\alpha$-pentagon+$\\alpha$ states appear around 23 MeV.
Cluster states and isoscalar monopole transitions of $^{24}$Mg
Y. Chiba; M. Kimura
2015-02-23T23:59:59.000Z
We investigate structure of the excited $0^+$ states of $^{24}$Mg populated by isoscalar monopole transition from the ground state on the basis of antisymmetrized molecular dynamics calculation with Gogny D1S interaction. The calculated isoscalar monopole strength function shows reasonable agreement with experiment and is consistent with other theoretical calculation. The structure of the excited $0^+$ states with pronounced isoscalar monopole transitions are analyzed. It is found that the $0^+_2$, $0^+_3$ and $0^+_5$ states have mixed nature of mean-field and cluster, and that the $0^+_8$ state is dominated by $^{12}$C+$^{12}$C cluster configuration. In addition, it is predicted that $5\\alpha$-pentagon+$\\alpha$ states appear around 23 MeV.
Amplitude mediated chimera states
Gautam C Sethia; Abhijit Sen; George L. Johnston
2013-10-04T23:59:59.000Z
We investigate the possibility of obtaining chimera state solutions of the non-local Complex Ginzburg-Landau Equation (NLCGLE) in the strong coupling limit when it is important to retain amplitude variations. Our numerical studies reveal the existence of a variety of amplitude mediated chimera states (including stationary and non-stationary two cluster chimera states), that display intermittent emergence and decay of amplitude dips in their phase incoherent regions. The existence regions of the single-cluster chimera state and both types of two cluster chimera states are mapped numerically in the parameter space of $C_1$ and $C_2$ the linear and nonlinear dispersion coefficients respectively of the NLCGLE. They represent a new domain of dynamical behaviour in the well explored rich phase diagram of this system. The amplitude mediated chimera states may find useful applications in understanding spatio-temporal patterns found in fluid flow experiments and other strongly coupled systems.
Michigan State University Alumni Association MICHIGAN STATE UNIVERSITY
Michigan State University Alumni Association Bylaws #12;2 MICHIGAN STATE UNIVERSITY ALUMNI of the organization shall be the Michigan State University Alumni Association (hereinafter, the "Association"). Section 2 Mission Statement The Michigan State University Alumni Association supports and enhances
Dynamical states of the cortico basal ganglia circuits Thesis submitted for the degree of
in these mean discharge rates. It posits that the death of midbrain dopaminergic neurons that occurs in PDDynamical states of the cortico basal ganglia circuits Thesis submitted for the degree of "Doctor variable that represents the mean discharge rate of neurons in that nucleus, and focuses on the gross
State Energy Strategic Planning
Broader source: Energy.gov [DOE]
U.S. Department of Energy (DOE) Technical Assistance Program (TAP) presentation at a TAP webinar held on April 3, 2013 and dealing with state energy strategic planning.
Office of Legacy Management (LM)
State University, Columbus, OH (*) Stauffer Tenescal Co., Richmond, CA Tocco Induction Heating Division, Clevelaad, OH Utica Drop Forge & Tool Co., Utica, NV Titanium Metals Corp....
Office of Legacy Management (LM)
State Wversity, Columbus, CM-i (*) Stauffer Tenescal Co., Richmond, CA Tocco Induction Heating Division, Clevelaad, OH Utica Drop Forge & Tool Co., Utica, NV Titanium Metals Corp....
Broader source: Energy.gov [DOE]
To help you make energy efficiency improvements in your commercial building, your state and/or local community might offer incentives or have special programs.
Oklahoma State University Purchasing Card
Veiga, Pedro Manuel Barbosa
Oklahoma State University Purchasing Card Guidelines Oklahoma State University Fiscal and Administrative Compliance 306 Whitehurst Stillwater, OK 74078 http://faac.okstate.edu August 2011 Oklahoma State University Purchasing Card Guidelines Fiscal and Administrative Compliance Oklahoma State University #12;Page
Veiga, Pedro Manuel Barbosa
OKLAHOMA STATE UNIVERSITY June 30, 2009 #12;OKLAHOMA STATE UNIVERSITY June 30, 2009 AUDITED ..........................................................................................................56 Discretely Presented Component Units Oklahoma State University Foundation..............................................................................................71 OKLAHOMA STATE UNIVERSITY DETAILED SCHEDULE OF EXPENDITURES OF FEDERAL AWARDS General University
Veiga, Pedro Manuel Barbosa
OKLAHOMA STATE UNIVERSITY June 30, 2011 #12;OKLAHOMA STATE UNIVERSITY June 30, 2011 AUDITED.................................................................................................59 Discretely Presented Component Units Oklahoma State University Foundation..............................................................................................76 OKLAHOMA STATE UNIVERSITY DETAILED SCHEDULE OF EXPENDITURES OF FEDERAL AWARDS General University
OKLAHOMA STATE UNIVERSITY MEDICAL AUTHORITY
Veiga, Pedro Manuel Barbosa
OKLAHOMA STATE UNIVERSITY MEDICAL AUTHORITY June 30, 2010 #12;OKLAHOMA STATE UNIVERSITY MEDICAL Authority Members Oklahoma State University Medical Authority Tulsa, Oklahoma We have audited the accompanying statements of financial position of the Oklahoma State University Medical Authority (the
OKLAHOMA STATE UNIVERSITY MEDICAL AUTHORITY
Veiga, Pedro Manuel Barbosa
OKLAHOMA STATE UNIVERSITY MEDICAL AUTHORITY June 30, 2009 #12;OKLAHOMA STATE UNIVERSITY MEDICAL Authority Members Oklahoma State University Medical Authority Tulsa, Oklahoma We have audited the accompanying statements of financial position of the Oklahoma State University Medical Authority (the
Chirped pulse excitation of two-atom Rydberg states
Kuznetsova, Elena
2015-01-01T23:59:59.000Z
We analyze excitation of two ground state atoms to a double Rydberg state by a two-photon chirped optical pulse in the regime of adiabatic rapid passage. For intermediate Rydberg-Rydberg interaction strengths, relevant for atoms separated by $\\sim$ten $\\mu$m, adiabatic excitation can be achieved at experimentally feasible Rabi frequencies and chirp rates of the pulses, resulting in high transfer efficiencies. We also study the adiabatic transfer between ground and Rydberg states as a means to realize a controlled phase gate between atomic qubits.
First observation of excited states in {sup 182}Pb.
Jenkins, D. G.; Muikku, M.; Greenlees, P. T.; Hauschild, K.; Helarjutta, K.; Jones, P. M.; Julin, R.; Juutinen, S.; Kankaanpaa, H.; Kelsall, N. S.; Kettunen, H.; Kuusiniemi, P.; Leino, M.; Moore, C. J.; Nieminen, P.; O'Leary, C. D.; Page, R. D.; Rakhila, P.; Reviol, W.; Taylor, M. J.; Uusitalo, J.; Wadsworth, R.; Physics; Univ. of York; Univ. of Jyvaskyla; CEA Saclay; Univ. of Liverpool; Univ. of Tennessee
2000-01-01T23:59:59.000Z
Excited states in the light lead nucleus, {sup 182}Pb, have been observed for the first time, by means of the recoil-decay tagging technique. A rotational band has been observed which has features in common with bands attributed to a prolate configuration in the heavier neutron deficient lead nuclei, {sup 184-188}Pb. A variable moment of inertia fit to the states in this band suggests that the prolate minimum has risen significantly in energy compared to the next even lead nucleus, {sup 184}Pb. This constitutes firm evidence for the minimization of this configuration with respect to the spherical ground state around N=103.
Weston, Ken
The Florida State University Bowling Team Handbook 2012-2013 #12;THE FLORIDA STATE UNIVERSITY BOWLING TEAM HANDBOOK 2012-2013 2 Table of Contents WELCOME 3 VIRES, ARTES AND MORES 4 THE FSU BOWLING TEAM COACHING STAFF 5 PROGRAM PHILOSOPHY 7 Team Goals 7 Methods of Meeting Goals 7 Physical Game 8
McQuade, D. Tyler
The Florida State University Bowling Team Handbook 2014-2015 #12;THE FLORIDA STATE UNIVERSITY BOWLING TEAM HANDBOOK 2014-2015 2 Table of Contents WELCOME 3 VIRES, ARTES AND MORES 4 THE FSU BOWLING TEAM COACHING STAFF 5 PROGRAM PHILOSOPHY 8 Team Goals 8 Methods of Meeting Goals 9 Physical Game 10
Ronquist, Fredrik
The Florida State University Bowling Team Handbook 2014-2015 #12;THE FLORIDA STATE UNIVERSITY BOWLING TEAM HANDBOOK 2014-2015 2 Table of Contents WELCOME 3 VIRES, ARTES AND MORES 4 THE FSU BOWLING TEAM COACHING STAFF 5 PROGRAM PHILOSOPHY 7 Team Goals 7 Methods of Meeting Goals 7 Physical Game 8
Green, P.H.; Watson, D.M. (eds.)
1989-08-01T23:59:59.000Z
This report contains brief discussions on work done in the Solid State Division of Oak Ridge National Laboratory. The topics covered are: Theoretical Solid State Physics; Neutron scattering; Physical properties of materials; The synthesis and characterization of materials; Ion beam and laser processing; and Structure of solids and surfaces. (LSP)
Compatibility of quantum states
Poulin, David; Blume-Kohout, Robin [Theoretical Division, Los Alamos National Laboratory, MS-B210, Los Alamos, New Mexico 87545 (United States)
2003-01-01T23:59:59.000Z
We introduce a measure of compatibility between quantum states--the likelihood that two density matrices describe the same object. Our measure is motivated by two elementary requirements, which lead to a natural definition. We list some properties of this measure, and discuss its relation to the problem of combining two observers' states of knowledge.
Iowa State University Engineering
Lin, Zhiqun
1 Iowa State University Engineering Student Clubs Engineering Student CouncilIowa State University #12;2 AirISU Pg. 4 Alpha Pi Mu Industrial Engineering Honor Society (APM) Pg. 4 American Institute of Aeronautics and Astronautics (AIAA) Pg. 5 American Society of Agricultural and Biological Engineers (ASABE) Pg
A Simple Linear Time (1 + #)Approximation Algorithm for kMeans Clustering in Any Dimensions
Kumar, Amit
A Simple Linear Time (1 + #)ÂApproximation Algorithm for kÂMeans Clustering in Any Dimensions Amit@cse.iitd.ernet.in Abstract We present the first linear time (1+#)Âapproximation alÂ gorithm for the kÂmeans problem for fixed of the most popular definitions of clusterÂ ing is the kÂmeans clustering problem. Given a set of points P
Method and means for continuous precipitation of easy-dry, granular uranium peroxide
Cahill, Allen E. (Roland, IA); Burkhart, deceased, Lawrence E. (late of Ames, IA)
1992-02-28T23:59:59.000Z
A method and means for continuous precipitation of granular uranium peroxide. The reaction vessel and agitation method practiced in it avoid filter plugging and caking problems.
A green gem in the treasure state
Cross, D.; Stephens, J.; Berry, M. [Western Transportation Institute-Montana State University, MT (Canada)
2009-07-01T23:59:59.000Z
The article describes a project conducted by researchers at the Western Transportation Institute (WTI) at Montana State University (MSU) into 100% fly ash concrete made with glass aggregate. Fly ash used is a Class C fly ash from the Corette Power Plant in Billings, Mont. Recycled pulverized glass of mixed color was used. Tests were carried out on two mix designs and then the material was used for load bearing beams by MacArthur, Means and Wells (MMW) Architects. 3 refs., 2 tabs., 6 photos.
Kramm, Gerhard
2010-01-01T23:59:59.000Z
In this paper we discuss the meaning of feedback parameter, greenhouse effect and transient climate response usually related to the globally averaged energy balance model of Schneider and Mass. After scrutinizing this model and the corresponding planetary radiation balance we state that (a) the this globally averaged energy balance model is flawed by unsuitable physical considerations, (b) the planetary radiation balance for an Earth in the absence of an atmosphere is fraught by the inappropriate assumption of a uniform surface temperature, the so-called radiative equilibrium temperature of about 255 K, and (c) the effect of the radiative anthropogenic forcing, considered as a perturbation to the natural system, is much smaller than the uncertainty involved in the solution of the model of Schneider and Mass. This uncertainty is mainly related to the empirical constants suggested by various authors and used for predicting the emission of infrared radiation by the Earth's skin. Furthermore, after inserting the ...
Ground state octupole correlation energies with effective forces
Luis M. Robledo
2015-01-28T23:59:59.000Z
The ground state octupole correlation energy is computed with the D1M variant of the Gogny force in different theoretical frameworks and analyzed in detail. First I consider the correlation energy gained at the mean field level by breaking reflection symmetry. Next I consider the energy gain coming from symmetry (parity) restoration and finally I analyze the ground state correlation energy after configuration mixing with axially symmetric octupole states. The impact of the latter on theoretical binding energies indicates that octupole correlations do not affect in a significant way the trend and systematic of binding energies and therefore can not improve the performance of theoretical models in this respect. In particular, the too-large "shell gaps" predicted by self-consistent mean field models and relevant in astrophysics scenarios are not altered by the octupole correlations.
Standiford, Richard B.
programs.) Persons with disabilities who require alternative means for communication of program information and public property. Nationally, a successful program was characterized as one with sufficient resources to the principle of multiple use management of the Nation's forest resources for sustained yields of wood, water
Nonclassical polarization dynamics in classical-like states
Alfredo Luis; Angel S. Sanz
2014-12-23T23:59:59.000Z
Quantum polarization is investigated by means of a trajectory picture based on the Bohmian formulation of quantum mechanics. Relevant examples of classical-like two-mode field states are thus examined, namely Glauber and SU(2) coherent states. Although these states are often regarded as classical, the analysis here shows that the corresponding electric-field polarization trajectories display topologies very different from those expected from classical electrodynamics. Rather than incompatibility with the usual classical model, this result demonstrates the dynamical richness of quantum motions, determined by local variations of the system quantum phase in the corresponding (polarization) configuration space, absent in classical-like models. These variations can be related to the evolution in time of the phase, but also to its dependence on configurational coordinates, which is the crucial factor to generate motion in the case of stationary states like those here considered. In this regard, for completeness these results are compared those obtained from nonclassical N00N states.
Conclusive modification of the overlap between two quantum states
Roa, Luis; Delgado, A. [Center for Quantum Optics and Quantum Information, Center for Optics and Photonics, Departamento de Fisica, Universidad de Concepcion, Casilla 160-C, Concepcion (Chile); Ladron de Guevara, M. L. [Departamento de Fisica, Universidad Catolica del Norte, Casilla 1280, Antofagasta (Chile)
2010-03-15T23:59:59.000Z
The task of changing the overlap between two quantum states cannot be performed by making use of unitary evolution only. However, by means of a unitary-reduction process, it could be modified. Here we study in detail the problem of mapping two known pure states onto two other states in such a way that the overlap between the outcome states is different from the one of the initial states. We show that the modulus of the overlap can be reduced only probabilistically, whereas it can be increased deterministically. Our analysis shows that the phases of the involved overlaps play an important role in the increase of the success probability of the desired process.
Efficient implementation and the product state representation of numbers.
Benioff, P.; Physics
2001-10-12T23:59:59.000Z
The relation between the requirement of efficient implementability and the product-state representation of numbers is examined. Numbers are defined to be any model of the axioms of number theory or arithmetic. Efficient implementability (EI) means that the basic arithmetic operations are physically implementable and the space-time and thermodynamic resources needed to carry out the implementations are polynomial in the range of numbers considered. Different models of numbers are described to show the independence of both EI and the product-state representation from the axioms. The relation between EI and the product-state representation is examined. It is seen that the condition of a product-state representation does not imply EI. Arguments used to refute the converse implication, EI implies a product-state representation, seem reasonable; but they are not conclusive. Thus this implication remains an open question.
Research papers The vertical structure of time-mean estuarine circulation in a shallow,
Polton, Jeff
the mean fluid depth the residual circulation is well modelled by a water column of uniform density 2013 Accepted 5 March 2013 Available online 27 March 2013 Keywords: Tidal residual ROFI HF radar ADCP) model shows that the time-mean depth weighted flow, or the residual circulation, is usefully constrained
Complementary relationship of evaporation and the mean annual water-energy balance
Szilagyi, Jozsef
Complementary relationship of evaporation and the mean annual water-energy balance Jozsef Szilagyi1 and the mean annual water-energy balance, Water Resour. Res., 45, W09201, doi:10.1029/2009WR008129. [2] Gerrits balance necessarily operates at the catchment scale, plus E0 depends predominantly on the available energy
Hazard Communication Definitions Chemical means any substance or mixture of substances
Slatton, Clint
Hazard Communication Definitions Chemical means any substance or mixture of substances Container that contains a hazardous chemical. Exposure or exposed means that an employee is subjected in the course of employment to a chemical that is a physical or health hazard and includes potential (e.g. accidental
NOAA Technical Memorandum ERL PMEL-92 THE ANNUAL MEAN TRANSPORT IN PUGET SOUND
FILE NOAA Technical Memorandum ERL PMEL-92 THE ANNUAL MEAN TRANSPORT IN PUGET SOUND E. D. Cokelet R Technical Memorandum ERL PMEL-92 THE ANNUAL MEAN TRANSPORT IN PUGET SOUND E. D. Cokelet Pacific Marine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 7.2 Puget Sound's Main Axis 40 7.3 Hood Canal 43 7.4 Saratoga Passage and Deception Pass 43 7
Wave-current interaction in strongly sheared mean flows Zhifei Dong and James T. Kirby
Kirby, James T.
Wave-current interaction in strongly sheared mean flows Zhifei Dong and James T. Kirby Center@udel.edu Abstract We describe a framework for wave-current interaction theory for small-amplitude surface gravity waves propagating on the strongly sheared mean flows. Using a multiple-scale perturbation method, we
Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with Jumps and
California at Berkeley. University of
PWP-073 Stochastic Models of Energy Commodity Prices and Their Applications: Mean.ucei.berkeley.edu/ucei #12;Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with Jumps-switching and stochastic volatility into these models in order to capture the salient features of energy commodity prices
An experimental investigation of the mean flow field of a wavy cylinder at critical Reynolds numbers
Damiana, Thomas Anthony
1994-01-01T23:59:59.000Z
Fluid flow around a wavy cylinder geometry was investigated in the Texas A&M University 2'x3' wind tunnel. Tests consisted of mean surface static pressure and mean wake dynamic pressure measurements around two wavy cylinders of differing wavelength...
Bouncing Back and Motivating Action on Environmental Issues: The Power of Positive Meaning
Edwards, Paul N.
Bouncing Back and Motivating Action on Environmental Issues: The Power of Positive Meaning Scott, p. 2). Second, positive meaning may build individuals' resilience by allowing them to bounce back their advocacy of an issue within a larger social community. We assume there is a basic human need for social
Integrating K-means Clustering with a Relational DBMS using SQL
Ordonez, Carlos
1 Integrating K-means Clustering with a Relational DBMS using SQL Carlos Ordonez Teradata, NCR San Diego, CA 92127, USA Abstract--Integrating data mining algorithms with a relational DBMS is an important algorithm to integrate it with a relational DBMS: (1) A straightforward translation of K-means computations
Effects of spatial and temporal variations in aerosol properties on mean cloud albedo
in quantifying the effects of cloud on radiation budget and aerosol indirect effects on global scaleEffects of spatial and temporal variations in aerosol properties on mean cloud albedo Jian Wang1 effect on mean cloud albedo, was investigated using data collected at Pt. Reyes, California, during
Recovery Act State Summaries | Department of Energy
Act State Memo Virgin Islands Recovery Act State Memo Washington Recovery Act State Memo West Virginia Recovery Act State Memo Wisconsin Recovery Act State Memo Wyoming Recovery...
STATE OF THE STATES: FUEL CELLS IN AMERICA
Incentives for Renewables & Efficiency (DSIRE). It is a follow-up to the 2010 report, State of the States, particularly the State Fuel Cell and Hydrogen Database and North Carolina Solar Center's Database of State this effort. State and national leaders must work together to develop additional strategies and incentives
Pasquale, David A.; Hansen, Richard G.
2013-01-23T23:59:59.000Z
This paper discusses command and control issues relating to the operation of Incident Command Posts (ICPs) and Emergency Operations Centers (EOCs) in the surrounding area jurisdictions following the detonation of an Improvised Nuclear Device (IND). Although many aspects of command and control will be similar to what is considered to be normal operations using the Incident Command System (ICS) and the National Incident Management System (NIMS), the IND response will require many new procedures and associations in order to design and implement a successful response. The scope of this white paper is to address the following questions: • Would the current command and control framework change in the face of an IND incident? • What would the management of operations look like as the event unfolded? • How do neighboring and/or affected jurisdictions coordinate with the state? • If the target area’s command and control infrastructure is destroyed or disabled, how could neighboring jurisdictions assist with command and control of the targeted jurisdiction? • How would public health and medical services fit into the command and control structure? • How can pre-planning and common policies improve coordination and response effectiveness? • Where can public health officials get federal guidance on radiation, contamination and other health and safety issues for IND response planning and operations?
Evapotranspiration and Precipitation in Kansas: Part I Dale Bremer, Kansas State University
..."an annual mean temperature almost as high as that of Virginia, more sunshine than that of any state) involve water, which is a politically hot topic in Kansas and across the western U.S. States, including. The article in this issue discusses the fundamentals of ET and the water budget of a land's surface
Partial wave decomposition of the N3LO equation of state
D. Davesne; J. Meyer; A. Pastore; J. Navarro
2014-12-05T23:59:59.000Z
By means of a partial wave decomposition, we separate their contributions to the equation of state of symmetric nuclear matter for the N3LO pseudo-potential. In particular, we show that although both the tensor and the spin-orbit terms do not contribute to the equation of state, they give a non-vanishing contribution to the separate (JLS) channels.
Lopez, F. A.
2011-01-01T23:59:59.000Z
residential 2009 IECC, commercial 2009 IECC, air sealing and blower doors; ? A resource library of compliance tools, software, and PNNL checklists. 15 CATEE-Dallas 11-09-2011 Questions? Felix Lopez, P.E. State Energy Conservation Office 512...
Broader source: Energy.gov [DOE]
In July 2005, Colorado’s governor signed Executive Order D005 05, mandating that state agencies and departments evaluate business operations and implement new programs “to promote environmentally...
of a typical wind energy production facility, the results warrant further research on the use of acoustic;1 INTRODUCTION Over the past decade, wind energy production capacity in the United States has increased
Michigan State University Press
Liu, Taosheng
Michigan State University Press FALL/ WINTER 2013 #12;MICHIGANSTATEUNIVERSITYPRESS This symbol:PALEOLITHICANIMALART.CAVELIONSATGROTTECHAUVET.PHOTO:DONHITCHCOCKFROMANIMALSASNEIGHBORS. INSIDECOVERIMAGE:STENAANECHRISTINE.BORNINDENMARKOCTOBER26,1864.SHEWASARESIDENTOFDIXON,AKENTCOUNTY,MICHIGAN,COMMUNITYCLOSETOTHEDANISHSETTLEMENTOF TRUFANTINMONTCALMCOUNTY.COURTESYOFTHEFLATRIVERHISTORICALSOCIETY,GREENVILLE,MICHIGAN,FROMDANESANDICELANDERSINMICHIGAN. NEW
Multipartite secure state distribution
Duer, W.; Briegel, H.-J. [Institut fuer Theoretische Physik, Universitaet Innsbruck, Technikerstrasse 25, A-6020 Innsbruck (Austria); Institut fuer Quantenoptik und Quanteninformation der Oesterreichischen, Akademie der Wissenschaften, Innsbruck (Austria); Calsamiglia, J. [Institut fuer Theoretische Physik, Universitaet Innsbruck, Technikerstrasse 25, A-6020 Innsbruck (Austria)
2005-04-01T23:59:59.000Z
We introduce the distribution of a secret multipartite entangled state in a real-world scenario as a quantum primitive. We show that in the presence of noisy quantum channels (and noisy control operations), any state chosen from the set of two-colorable graph states (Calderbank-Shor-Steane codewords) can be created with high fidelity while it remains unknown to all parties. This is accomplished by either blind multipartite entanglement purification, which we introduce in this paper, or by multipartite entanglement purification of enlarged states, which offers advantages over an alternative scheme based on standard channel purification and teleportation. The parties are thus provided with a secret resource of their choice for distributed secure applications.
Lallemant, David
2010-01-01T23:59:59.000Z
Hopeful but skeptic, as Haiti has been promised many thingsThe State of Haiti By David Lallemant Thescale of the disaster in Haiti is hard to describe or even
Roanoke River Basin Bi-State Commission (Multiple States)
Broader source: Energy.gov [DOE]
The Roanoke River Basin Bi-State Commission was established as a bi-state commission composed of members from the Commonwealth of Virginia and the State of North Carolina. The purpose of the...
Thoracic Low-dose CT Image Processing Using an Artifact Suppressed Large-scale Nonlocal Means
Paris-Sud XI, UniversitÃ© de
The lung and bronchus cancer is a leading cause of cancer death in the United States with a mortality rate
Quenched crystal-field disorder and magnetic liquid ground states in Tb?Sn2-xTixO?
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Gaulin, B. D.; Kermarrec, E.; Dahlberg, M. L.; Matthews, M. J.; Bert, F.; Zhang, J.; Mendels, P.; Fritsch, K.; Granroth, G. E.; Jiramongkolchai, P.; et al
2015-06-01T23:59:59.000Z
Solid solutions of the “soft” quantum spin ice pyrochlore magnets Tb?B?O? with B = Ti and Sn display a novel magnetic ground state in the presence of strong B-site disorder, characterized by a low susceptibility and strong spin fluctuations to temperatures below 0.1 K. These materials have been studied using ac susceptibility and ?SR techniques to very low temperatures, and time-of-flight inelastic neutron scattering techniques to 1.5 K. Remarkably, neutron spectroscopy of the Tb³? crystal-field levels appropriate to high B-site mixing (0.5 2-xTixO?) reveal that the doublet ground and first excited states present as continuamore »in energy, while transitions to singlet excited states at higher energies simply interpolate between those of the end members of the solid solution. The resulting ground state suggests an extreme version of a random-anisotropy magnet, with many local moments and anisotropies, depending on the precise local configuration of the six B sites neighboring each magnetic Tb³? ion.« less
Quenched crystal-field disorder and magnetic liquid ground states in Tb?Sn2-xTixO?
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Gaulin, B. D.; Kermarrec, E.; Dahlberg, M. L.; Matthews, M. J.; Bert, F.; Zhang, J.; Mendels, P.; Fritsch, K.; Granroth, G. E.; Jiramongkolchai, P.; Amato, A.; Baines, C.; Cava, R. J.; Schiffer, P.
2015-06-01T23:59:59.000Z
Solid solutions of the “soft” quantum spin ice pyrochlore magnets Tb?B?O? with B = Ti and Sn display a novel magnetic ground state in the presence of strong B-site disorder, characterized by a low susceptibility and strong spin fluctuations to temperatures below 0.1 K. These materials have been studied using ac susceptibility and ?SR techniques to very low temperatures, and time-of-flight inelastic neutron scattering techniques to 1.5 K. Remarkably, neutron spectroscopy of the Tb³? crystal-field levels appropriate to high B-site mixing (0.5 2-xTixO?) reveal that the doublet ground and first excited states present as continua in energy, while transitions to singlet excited states at higher energies simply interpolate between those of the end members of the solid solution. The resulting ground state suggests an extreme version of a random-anisotropy magnet, with many local moments and anisotropies, depending on the precise local configuration of the six B sites neighboring each magnetic Tb³? ion.
Characterizing the Behavior of Cyber Adversaries: The Means, Motive, and Opportunity of Cyberattacks
Illinois at Urbana-Champaign, University of
quantification; state model; simulation; adversary attack behavior I. QUANTITATIVE MODEL-BASED SECURITY METRICS to quantitatively evaluate a system's security. Our approach is to create an executable state-based security model- uate the strength of a system's security. Our approach is to create an executable state-based security
A Graphic Representation of States for Quantum Copying Machines
Sara Felloni; Giuliano Strini
2006-09-29T23:59:59.000Z
The aim of this paper is to introduce a new graphic representation of quantum states by means of a specific application: the analysis of two models of quantum copying machines. The graphic representation by diagrams of states offers a clear and detailed visualization of quantum information's flow during the unitary evolution of not too complex systems. The diagrams of states are exponentially more complex in respect to the standard representation and this clearly illustrates the discrepancy of computational power between quantum and classical systems. After a brief introductive exposure of the general theory, we present a constructive procedure to illustrate the new representation by means of concrete examples. Elementary diagrams of states for single-qubit and two-qubit systems and a simple scheme to represent entangled states are presented. Quantum copying machines as imperfect cloners of quantum states are introduced and the quantum copying machines of Griffiths and Niu and of Buzek and Hillery are analyzed, determining quantum circuits of easier interpretation. The method has indeed shown itself to be extremely successful for the representation of the involved quantum operations and it has allowed to point out the characteristic aspects of the quantum computations examined.
Quantum state discrimination with bosonic channels and Gaussian states
Tan, Si Hui, Ph. D. Massachusetts Institute of Technology
2010-01-01T23:59:59.000Z
Discriminating between quantum states is an indispensable part of quantum information theory. This thesis investigates state discrimination of continuous quantum variables, focusing on bosonic communication channels and ...
State Clean Energy Policies Analysis (SCEPA): State Policy and...
Manufacturing Jump to: navigation, search Tool Summary LAUNCH TOOL Name: State Clean Energy Policies Analysis (SCEPA): State Policy and the Pursuit of Renewable Energy...
Western Interstate Nuclear Compact State Nuclear Policy (Multiple States)
Broader source: Energy.gov [DOE]
Legislation authorizes states' entrance into the Western Interstate Nuclear Compact, which aims to undertake the cooperation of participating states in deriving the optimum benefit from nuclear and...
Bose-Hubbard Model: Relation Between Driven-Dissipative Steady-States and Equilibrium Quantum Phases
Alexandre Le Boité; Giuliano Orso; Cristiano Ciuti
2014-08-06T23:59:59.000Z
We present analytical solutions for the mean-field master equation of the driven-dissipative Bose-Hubbard model for cavity photons, in the limit of both weak pumping and weak dissipation. Instead of pure Mott insulator states, we find statistical mixtures with the same second-order coherence as a Fock state with n photons, but a mean photon number of n/2. These mixed states occur when n pump photons have the same energy as n interacting photons inside the nonlinear cavity and survive up to a critical tunneling coupling strength, above which a crossover to classical coherent state takes place. We also explain the origin of both antibunching and superbunching predicted by P-representation mean-field theory at higher pumping and dissipation. In particular, we show that the strongly correlated region of the associated phase diagram cannot be described within the semiclassical Gross-Pitaevski approach.
A. H. El Kinani; M. Daoud
2003-12-13T23:59:59.000Z
This article is an illustration of the construction of coherent and generalized intelligent states which has been recently proposed by us for an arbitrary quantum system $[ 1] $. We treat the quantum system submitted to the infinite square well potential and the nonlinear oscillators. By means of the analytical representation of the coherent states \\`{a} la Gazeau-Klauder and those \\`{a} la Klauder-Perelomov, we derive the generalized intelligent states in analytical ways.
Wigner distribution, nonclassicality and decoherence of generalized and reciprocal binomial states
Anirban Pathak; J. Banerji
2013-07-01T23:59:59.000Z
There are quantum states of light that can be expressed as finite superpositions of Fock states (FSFS). We demonstrate the nonclassicality of an arbitrary FSFS by means of its phase space distributions such as the Wigner function and the $Q$-function. The decoherence of the FSFS is studied by considering the time evolution of its Wigner function in amplitude decay and phase damping channels. As examples, we determine the nonclassicality and decoherence of generalized and reciprocal binomial states.
MICHIGAN STATE UNIVERSITY PHILANTHROPIST AWARD
MICHIGAN STATE UNIVERSITY PHILANTHROPIST AWARD The MSU Alumni Association annually seeks and accepts nominations for the Michigan State University PHILANTHROPIST AWARD. This award is presented-going financial support and leadership to Michigan State University. The candidates will have demonstrated
State Energy Efficiency Design Program
Broader source: Energy.gov [DOE]
Oregon's State Energy Efficiency Design Program (SEED) was originally established in 1991. This program, codified in state law, directs state agencies to work with the Oregon Department of Energy...
Thompson, D.O.; Hsu, D.K.
1993-12-14T23:59:59.000Z
The invention includes a means and method for transmitting and receiving broadband, unipolar, ultrasonic pulses for ultrasonic inspection. The method comprises generating a generally unipolar ultrasonic stress pulse from a low impedance voltage pulse transmitter along a low impedance electrical pathway to an ultrasonic transducer, and receiving the reflected echo of the pulse by the transducer, converting it to a voltage signal, and passing it through a high impedance electrical pathway to an output. The means utilizes electrical components according to the method. The means and method allow a single transducer to be used in a pulse/echo mode, and facilitates alternatingly transmitting and receiving the broadband, unipolar, ultrasonic pulses. 25 figures.
Thompson, Donald O. (Ames, IA); Hsu, David K. (Ames, IA)
1993-12-14T23:59:59.000Z
The invention includes a means and method for transmitting and receiving broadband, unipolar, ultrasonic pulses for ultrasonic inspection. The method comprises generating a generally unipolar ultrasonic stress pulse from a low impedance voltage pulse transmitter along a low impedance electrical pathway to an ultrasonic transducer, and receiving the reflected echo of the pulse by the transducer, converting it to a voltage signal, and passing it through a high impedance electrical pathway to an output. The means utilizes electrical components according to the method. The means and method allow a single transducer to be used in a pulse/echo mode, and facilitates alternatingly transmitting and receiving the broadband, unipolar, ultrasonic pulses.
Statistical mechanics of the nonlinear Schroedinger equation. II. Mean field approximation
Lebowitz, J.L.; Rose, H.A.; Speer, E.R.
1989-01-01T23:59:59.000Z
The authors investigate a mean field approximation to the statistical mechanics of complex fields with dynamics governed by the nonlinear Schroedinger equation. Such fields, whose Hamiltonian is unbounded below, may model plasmas, lasers, and other physical systems. Restricting themselves to one-dimensional systems with periodic boundary conditions, we find in the mean field approximation a phase transition from a uniform regime to a regime in which the system is dominated by solitons. They compute explicitly, as a function of temperature and density (L/sup 2/ norm), the transition point at which the uniform configuration becomes unstable to local perturbations; static and dynamic mean field approximations yield the same result.
Means and method for the destruction of particles entrained in a gas stream
Botts, Thomas E. (Wading River, NY); Powell, James R. (Shoreham, NY)
1980-01-01T23:59:59.000Z
An apparatus and method for the destruction of particles entrained in a gas stream are disclosed. Destruction in the context of the subject invention means the fragmentation and/or vaporization of particles above a certain size limit. The subject invention contemplates destroying such particles by exposing them to intense bursts of laser light, such light having a frequency approximately equal to or less than the mean size of such particles. This invention is particularly adopted to the protection of turbine blades in open cycle coal-fired turbine systems. Means for introducing various chemical species and activating them by exposure to laser light are also disclosed.
Mass dispersion in transfer reactions with a stochastic mean-field theory
Kouhei Washiyama; Sakir Ayik; Denis Lacroix
2009-06-24T23:59:59.000Z
Nucleon transfer in symmetric heavy-ion reactions at energies below the Coulomb barrier is investigated in the framework of a microscopic stochastic mean-field theory. While mean-field alone is known to significantly underpredict the dispersion of the fragment mass distribution, a considerable enhancement of the dispersion is obtained in the stochastic mean-field theory. The variance of the fragment mass distribution deduced from the stochastic theory scales with the number of exchanged nucleon. Therefore, the new approach provides the first fully microscopic theory consistent with the phenomenological analysis of the experimental data.
High spin states in {sup 175}Ta: An acute example of delayed crossing frequency
Wen, S.; Zheng, H.; Li, S.; Li, G.; Yuan, G.; Hua, P.; Weng, P.; Zhang, L.; Yu, P.; Yang, C. [China Institute of Atomic Energy, P.O. Box 275, Beijing 102413, People`s Republic of (China)] [China Institute of Atomic Energy, P.O. Box 275, Beijing 102413, People`s Republic of (China); Sun, H.; Liu, Y.; Liu, Y. [Department of Physics, Jilin University, Changchun, Jilin 130023, People`s Republic of (China)] [Department of Physics, Jilin University, Changchun, Jilin 130023, People`s Republic of (China); Sun, Y.; Feng, D.H. [Department of Physics and Atmospheric Science, Drexel University, Philadelphia, Pennsylvania 19104 (United States)] [Department of Physics and Atmospheric Science, Drexel University, Philadelphia, Pennsylvania 19104 (United States)
1996-09-01T23:59:59.000Z
High spin states in {sup 175}Ta are populated by the {sup 160}Gd ({sup 19}F,4{ital n}) {sup 175}Ta reaction. This experiment, carried out at the HI-13 tandem accelerator at the China Institute of Atomic Energy which measured the {gamma}-{gamma} coincidences, gives rise to a new level scheme. Two important new features are embedded in this scheme. First, the seven decay sequences built on 1/2 [541], 7/2 [404], 5/2 [402], and 9/2 [514] proton Nilsson configurations are significantly extended to higher spins. For example, for the 1/2 [541] band, the levels have extended from 33/2{sup {minus}} to 61/2{sup {minus}} and, for the 7/2 [404] band, from 21/2{sup {minus}} to 41/2{sup {minus}}. Second, compared to the neighboring even-even nuclides, the neutron {ital AB} crossing frequency built on the {ital h}{sub 9/2} proton Nilsson state 1/2 [541] is significantly larger, which according to the conventional cranking shell model (CSM) is an anomaly. In this paper, this large crossing frequency is also discussed within the framework of the projected shell model. It is shown that this anomaly found in CSM can be satisfactorily explained, thus suggesting an alternative understanding. {copyright} {ital 1996 The American Physical Society.}
David Viennot; Lucile Aubourg
2014-11-19T23:59:59.000Z
We study a theoretical model of closed quasi-hermitian chain of spins which exhibits quantum analogues of chimera states, i.e. long life classical states for which a part of an oscillator chain presents an ordered dynamics whereas another part presents a disordered chaotic dynamics. For the quantum analogue, the chimera behavior deals with the entanglement between the spins of the chain. We discuss the entanglement properties, quantum chaos, quantum disorder and semi-classical similarity of our quantum chimera system. The quantum chimera concept is novel and induces new perspectives concerning the entanglement of multipartite systems.
Shukla, S.
1994-12-31T23:59:59.000Z
Characteristics of mass spectra and decays of orbitally excited charm mesons and baryons, expected on the basis of quark models and Heavy Quark Symmetry, are briefly described. The difficulties associated with measurements on these excited states are discussed. The accuracy and reliability of currently available experimental information is examined. The reasons, for the widely accepted spin-parity assignments to the observed excited mesons and baryons, are stated. Finally, the experimental data, with the accepted spin-parity assignments, is compared with expectations based on quark models and Heavy Quark Symmetry.
Merritt, B.T.; Dreifuerst, G.R.
1994-07-19T23:59:59.000Z
A solid state switch, with reverse conducting thyristors, is designed to operate at 20 kV hold-off voltage, 1,500 A peak, 1.0 [mu]s pulsewidth, and 4,500 pps, to replace thyratrons. The solid state switch is more reliable, more economical, and more easily repaired. The switch includes a stack of circuit card assemblies, a magnetic assist and a trigger chassis. Each circuit card assembly contains a reverse conducting thyristor, a resistor capacitor network, and triggering circuitry. 6 figs.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary900 SpecialNanoparticulate FeSSection 1.StateState
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State7 FY0 ServiceState
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State71Laboratory1State
A Fixed Point Formulation of the k-Means Algorithm and a Connection to Mumford-Shah
Bardsley, John
A Fixed Point Formulation of the k-Means Algorithm and a Connection to Mumford-Shah Johnathan M of the k-means segmentation algorithm and show that the iteration's fixed points are solutions of the Euler between the k-means algorithm and Mumford- Shah segmentation via a fixed point formulation of k-means
Comment on Mean First Passage Time for Nuclear Fission and the Emission of Light Particles
K. -H. Schmidt; J. Benlliure; D. Boilley; A. Heinz; A. Junghans; B. Jurado; A. Kelic; J. Pereira; C. Schmitt; O. Yordanov
2003-07-25T23:59:59.000Z
Theoretical methods, interpretations and conclusions on the fission dynamics in a recent publication of H. Hofmann and F. A. Ivanyuk on the mean first passage time are critically considered.
Freeman, Walter J.
Global episodic beta/gamma synchrony 1 Freeman & Rogers A neurobiological theory of meaning words: analytic phase, beta oscillation, EEG synchronization, gamma oscillation, Hilbert transform, phase transition Running Title: Global episodic beta/gamma synchrony #12;Global episodic beta
Distributed control in a mean-field cortical network model: Implications for seizure suppression
Ching, ShiNung
Brain electrical stimulation (BES) has long been suggested as a means of controlling pathological brain activity. In epilepsy, control of a spatially localized source, the seizure focus, may normalize neuronal dynamics. ...
Fox, Stephen Richard
2005-01-01T23:59:59.000Z
Recombinant human glycoproteins produced by Chinese Hamster Ovary (CHO) cells are an important class of therapeutic molecules and investigating means of improving the production rate and product quality of these glycoproteins ...
Solution to plasma-etching puzzle could mean more powerful microchips...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Solution to plasma-etching puzzle could mean more powerful microchips By John Greenwald February 11, 2014 Tweet Widget Google Plus One Share on Facebook An integrated-circuit...
Pinto, Zeena Blossom
2001-01-01T23:59:59.000Z
A sample size of 81, 4" diameter concrete standard cylinders were tested using nondestructive means. These cylinders were collected from three different ready-mix plants across Texas located in Houston, San Antonio and Victoria. The sound...
Electron mean free path from angle-dependent photoelectron spectroscopy of aerosol particles
Goldmann, Maximilian; West, Adam H C; Yoder, Bruce L; Signorell, Ruth
2015-01-01T23:59:59.000Z
We propose angle-resolved photoelectron spectroscopy of aerosol particles as an alternative way to determine the electron mean free path of low energy electrons in solid and liquid materials. The mean free path is obtained from fits of simulated photoemission images to experimental ones over a broad range of different aerosol particle sizes. The principal advantage of the aerosol approach is twofold. Firstly, aerosol photoemission studies can be performed for many different materials, including liquids. Secondly, the size-dependent anisotropy of the photoelectrons can be exploited in addition to size-dependent changes in their kinetic energy. These finite size effects depend in different ways on the mean free path and thus provide more information on the mean free path than corresponding liquid jet, thin film, or bulk data. The present contribution is a proof of principle employing a simple model for the photoemission of electrons and preliminary experimental data for potassium chloride aerosol particles.
Problems of tort litigation as a means of patient and consumer protection in health care systems
Moore, Michael David
2009-01-01T23:59:59.000Z
The U.S. health care system relies on tort litigation as a means of protecting patients and consumers from medical malpractice. The system of tort litigation has contributed to the U.S. having the highest health care ...
Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes
2010-01-01T23:59:59.000Z
3.0 License. Biogeosciences Soil respiration at mean annualI. L. , and Carvalho, J. E. M. : Effects of soil watercontent on soil res- piration in forests and cattle pastures
Questioning the Meaning of Authenticity in Martin Heidegger's Being and Time
Liwinski, Thomas
2011-10-21T23:59:59.000Z
, it is necessary to highlight those commitments to phenomenology and hermeneutics that informs Heidegger's effort. The third chapter first introduces the various characterizations of authenticity that Heidegger offers in Being and Time and the problematic meaning...
Transient Responses to Rapid Changes in Mean and Variance in Spiking Models
Khorsand, Peyman; Chance, Frances
2008-01-01T23:59:59.000Z
features of IF model responses to steps in input signals:neuron firing rates in response to steps in mean and noise.variance (see Decaying Response to Step Function). In the
RIGOROUS ANALYSIS OF DISCONTINUOUS PHASE TRANSITIONS VIA MEAN-FIELD BOUNDS
assumption is that these models satisfy the condition of reflection positivity. We prove that whenever a discontinuous transition (which occurs near the mean-field transition temperature), provided the dimension . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2. Infrared bound
Mean curvature flow self-shrinkers with genus and asymptotically conical ends
Møller, Niels Martin
2012-01-01T23:59:59.000Z
This doctoral dissertation is on the theory of Minimal Surfaces and of singularities in Mean Curvature Flow, for smooth submanifolds Y" in an ambient Riemannian (n+ 1)-manifold Nn+1, including: (1) New asymptotically conical ...
Dvorakova, Antonie
2003-09-01T23:59:59.000Z
This research compares the cultural meanings that shape the construction and experience of self-regard in Indigenous Peoples of the United States with the conceptualization of self-esteem prevailing in the mainstream ...
Cano, Narciso Ortiz
1968-01-01T23:59:59.000Z
EVALUATION OF DISCONTINUITY STRESSES IN THICK WALLED CYLINDRICAL SHELLS BY MEANS OF AN EMBEDDED POLARISCOPE A Thesis By NARCISO ORTIZ CANO, JR. Submitted to the Graduate College of the Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE January, 196B Major Sub)ect: Aerospace Engineering EVALUATION OF DISCONTINUITY STRESSES IN THICK WALLED CYLINDRICAL SHELLS BY MEANS OF AN EMBEDDED POLARISCOPE A Thesis By NARCISO ORTIZ CANO, JR. Approved...
Low pressure arc discharge lamp apparatus with magnetic field generating means
Grossman, M.W.; George, W.A.; Maya, J.
1987-10-06T23:59:59.000Z
A low-pressure arc discharge apparatus having a magnetic field generating means for increasing the output of a discharge lamp is disclosed. The magnetic field generating means, which in one embodiment includes a plurality of permanent magnets, is disposed along the lamp for applying a constant transverse magnetic field over at least a portion of the positive discharge column produced in the arc discharge lamp operating at an ambient temperature greater than about 25 C. 3 figs.
Ambedkar Dukkipati; M. Narsimha Murty; Shalabh Bhatnagar
2005-05-30T23:59:59.000Z
As additivity is a characteristic property of the classical information measure, Shannon entropy, pseudo-additivity is a characteristic property of Tsallis entropy. Renyi generalized Shannon entropy by means of Kolmogorov-Nagumo averages, by imposing additivity as a constraint.In this paper we show that there exists no generalization for Tsallis entropy, by means of Kolmogorov-Nagumo averages, which preserves the pseudo-additivity.
Qualified Energy Conservation Bond State-by-State Summary Tables
Broader source: Energy.gov [DOE]
Provides a list of qualified energy conservation bond state summary tables. Author: Energy Programs Consortium
State DOT: Michigan State Report Questions on MEPDG Implementation
State DOT: Michigan State Report Questions on MEPDG Implementation 1. Summarize your state's status as far as MEPDG Implementation. Michigan DOT has purchased a single copy of DARWin-ME for the statewide, a research project will begin with Michigan State University involving local calibration and validation
State of Spacef p State of Space 2009
Van Volkenburgh, Elizabeth
State of Spacef p 2009 State of Space 2009 DRAFT Â For Discussion Only #12;UW Space throughout the World Owned or Leased State of Space 2009 DRAFT Â For Discussion Only *Space recorded with the Office of Planning & Budgeting or the Real Estate Office #12;UW Space throughout the United States Owned or Leased
United States Department of Agriculture Forest Service Intermountain Research Station General. in the aircraft nuclear propulsion department at the National Reactor Testing Station in Idaho. In 1961 Rothermel.S. Department of Agriculture, Fire Laboratory at Missoula was conceived in the aftermath of the Mann Gulch fire
Portland State UNIVERSITY HOUSING
Bertini, Robert L.
Portland State UNIVERSITY HOUSING FAMILY MEMBER CONFIRMATION FORM *UNIVERSITY HOUSING OFFICE *625 SW JACKSON ST. #210, PORTLAND, OR 97201 *PHONE (503) 725-4375 *FAX (503) 725-4394 *HOUSING@PDX.EDU *WWW.PDX.EDU/HOUSING * For Office Use Only Res Services Assign Accts Badge # RESIDENT INFORMATION
United States Environmental Protection
and exercises, EPA's radiological emergency response team helps states and other agencies test their response, biological, radiological, and nuclear terrorism. For terrorist incidents involving radioactive materials open or is processing facility and the radioactive material is released, people and the environment may
are thought to contribute to carbon sequestration, including current debates on this topic. The science regarding forestry and carbon sequestration is more advanced and less controversial than that for range, land management, carbon sequestration, carbon markets, United States. #12;ii Executive Summary
Brown, Gregory G.
Assessment Thomas M. Quigley, Editor U.S. Department of Agriculture Forest Service Pacific Northwest Research, and Andy Wilson. Thomas M. Quigley Editor United States Department of Agriculture Forest Service United Service, Pacific Northwest Research Station. 120 p. (Quigley, Thomas M., ed.; Interior Columbia Basin
Washington State Electric Vehicle
California at Davis, University of
Washington State Electric Vehicle Implementation Bryan Bazard Maintenance and Alternate Fuel Technology Manager #12;Executive Order 14-04 Requires the procurement of electric vehicles where and equipment with electricity or biofuel to the "extent practicable" by June 2015 1. The vehicle is due
Variational transition state theory
Truhlar, D.G. [Univ. of Minnesota, Minneapolis (United States)
1993-12-01T23:59:59.000Z
This research program involves the development of variational transition state theory (VTST) and semiclassical tunneling methods for the calculation of gas-phase reaction rates and selected applications. The applications are selected for their fundamental interest and/or their relevance to combustion.
Report NRS-112 Modeling the Effects of Emerald Ash Borer on Forest Composition in the Midwest of human population, energy, consumption, land use, and economic models to project the future condition of forests in the Midwest and Northeast United States. Our results suggest that in most cases EAB
to Alabama, is receiving increasing attention as an economically recoverable natural gas source, and proximity to natural gas markets in the heavily urbanized northeastern United States have prompted increased-10 Reptile, Amphibian, and Small Mammal Species Associated with Natural Gas Development
dddddddddddddddddddddddddddddddddddddd United States
Hubbard, Susan
, and is on the verge of a major water shortage. As vineyards consume more rural acre- age, competition for water irrigation. However, California uses the largest volume of water of any state in the nation resources is increasing, which has increased the pres- sure on California vintners to use water more
Loudon, Catherine
Protect Your Family From Lead in Your Home United States Environmental Protection Agency United Â· What you can do to protect your family Â· Where to go for more information Before renting or buying Family from Lead Hazards If you think your home has lead-based paint: Â· Don't try to remove lead
Semiquantum-key distribution using less than four quantum states
Zou Xiangfu [Department of Computer Science, Zhongshan University, Guangzhou 510275 (China); Department of Mathematics and Physics, Wuyi University, Jiangmen 529020 (China); Qiu Daowen [Department of Computer Science, Zhongshan University, Guangzhou 510275 (China); SQIG-Instituto de Telecomunicacoes, IST, TULisbon, Av. Rovisco Pais 1049-001, Lisbon (Portugal); Li Lvzhou; Wu Lihua; Li Lvjun [Department of Computer Science, Zhongshan University, Guangzhou 510275 (China)
2009-05-15T23:59:59.000Z
Recently Boyer et al. [Phys. Rev. Lett. 99, 140501 (2007)] suggested the idea of semiquantum key distribution (SQKD) in which Bob is classical and they also proposed a semiquantum key distribution protocol (BKM2007). To discuss the security of the BKM2007 protocol, they proved that their protocol is completely robust. This means that nonzero information acquired by Eve on the information string implies the nonzero probability that the legitimate participants can find errors on the bits tested by this protocol. The BKM2007 protocol uses four quantum states to distribute a secret key. In this paper, we simplify their protocol by using less than four quantum states. In detail, we present five different SQKD protocols in which Alice sends three quantum states, two quantum states, and one quantum state, respectively. Also, we prove that all the five protocols are completely robust. In particular, we invent two completely robust SQKD protocols in which Alice sends only one quantum state. Alice uses a register in one SQKD protocol, but she does not use any register in the other. The information bit proportion of the SQKD protocol in which Alice sends only one quantum state but uses a register is the double as that in the BKM2007 protocol. Furthermore, the information bit rate of the SQKD protocol in which Alice sends only one quantum state and does not use any register is not lower than that of the BKM2007 protocol.
Magic-state distillation with the four-qubit code
Meier, Adam M; Knill, Emanuel
2012-01-01T23:59:59.000Z
The distillation of magic states is an often-cited technique for enabling universal quantum computing once the error probability for a special subset of gates has been made negligible by other means. We present a routine for magic-state distillation that reduces the required overhead for a range of parameters of practical interest. Each iteration of the routine uses a four-qubit error-detecting code to distill the +1 eigenstate of the Hadamard gate at a cost of ten input states per two improved output states. Use of this routine in combination with the 15-to-1 distillation routine described by Bravyi and Kitaev allows for further improvements in overhead.
Magic-state distillation with the four-qubit code
Adam M. Meier; Bryan Eastin; Emanuel Knill
2012-04-18T23:59:59.000Z
The distillation of magic states is an often-cited technique for enabling universal quantum computing once the error probability for a special subset of gates has been made negligible by other means. We present a routine for magic-state distillation that reduces the required overhead for a range of parameters of practical interest. Each iteration of the routine uses a four-qubit error-detecting code to distill the +1 eigenstate of the Hadamard gate at a cost of ten input states per two improved output states. Use of this routine in combination with the 15-to-1 distillation routine described by Bravyi and Kitaev allows for further improvements in overhead.
Nonequilibrium steady states in fluids of platelike colloidal particles
Markus Bier; Rene van Roij
2007-10-29T23:59:59.000Z
Nonequilibrium steady states in an open system connecting two reservoirs of platelike colloidal particles are investigated by means of a recently proposed phenomenological dynamic density functional theory [M. Bier and R. van Roij, Phys. Rev. E 76, 021405 (2007)]. The platelike colloidal particles are approximated within the Zwanzig model of restricted orientations, which exhibits an isotropic-nematic bulk phase transition. Inhomogeneities of the local chemical potential generate a diffusion current which relaxes to a nonvanishing value if the two reservoirs coupled to the system sustain different chemical potentials. The relaxation process of initial states towards the steady state turns out to comprise two regimes: a smoothening of initial steplike structures followed by an ultimate relaxation of the slowest diffusive mode. The position of a nonequilibrium interface and the particle current of steady states depend nontrivially on the structure of the reservoirs due to the coupling between translational and orientational degrees of freedom of the fluid.
Do X-ray Binary Spectral State Transition Luminosities Vary?
Thomas J. Maccarone
2003-08-02T23:59:59.000Z
We tabulate the luminosities of the soft-to-hard state transitions of all X-ray binaries for which there exist good X-ray flux measurements at the time of the transition, good distance estimates, and good mass estimates for the compact star. We show that the state transition luminosities are at about 1-4% of the Eddington rate, markedly smaller than those typically quoted in the literature, with a mean value of 2%. Only the black hole candidate GRO J~1655-40 and the neutron star systems Aql X-1 and 4U 1728-34 have measured state transition luminosities inconsistent with this value at the 1$\\sigma$ level. GRO J~1655-40, in particular, shows a state transition luminosity below the mean value for the other sources at the $4\\sigma$ level. This result, combined with the known inner disk inclination angle (the disk is nearly parallel to the line of sight) from GRO J~1655-40's relativistic jets suggest that the hard X-ray emitting region in GRO J~1655-40 can have a velocity of no more than about $\\beta=0.68$, with a most likely value of about $\\beta=0.52$, and a minimum speed of $\\beta=0.45$, assuming that the variations in state transition luminosities are solely due to relativistic beaming effects. The variance in the state transition luminosities suggests an emission region with a velocity of $\\sim0.2c$. The results are discussed in terms of different emission models for the low/hard state. We also discuss the implications for measuring the dimensionless viscosity parameter $\\alpha$. We also find that if its state transitions occur at typical luminosities, then GX 339-4 is likely to be at a distance of at least 7.6 kpc, much further than typically quoted estimates.
Quantum phase transition between cluster and antiferromagnetic states
Wonmin Son; Luigi Amico; Rosario Fazio; Alioscia Hamma; Saverio Pascazio; Vlatko Vedral
2011-09-11T23:59:59.000Z
We study a Hamiltonian system describing a three spin-1/2 cluster-like interaction competing with an Ising-like exchange. We show that the ground state in the cluster phase possesses symmetry protected topological order. A continuous quantum phase transition occurs as result of the competition between the cluster and Ising terms. At the critical point the Hamiltonian is self-dual. The geometric entanglement is also studied. Our findings in one dimension corroborate the analysis of the two dimensional generalization of the system, indicating, at a mean field level, the presence of a direct transition between an antiferromagnetic and a valence bond solid ground state.
Dancing Volvox: Hydrodynamic Bound States of Swimming Algae
Knut Drescher; Kyriacos C. Leptos; Idan Tuval; Takuji Ishikawa; Timothy J. Pedley; Raymond E. Goldstein
2009-01-14T23:59:59.000Z
The spherical alga Volvox swims by means of flagella on thousands of surface somatic cells. This geometry and its large size make it a model organism for studying the fluid dynamics of multicellularity. Remarkably, when two nearby Volvox swim close to a solid surface, they attract one another and can form stable bound states in which they "waltz" or "minuet" around each other. A surface-mediated hydrodynamic attraction combined with lubrication forces between spinning, bottom-heavy Volvox explains the formation, stability and dynamics of the bound states. These phenomena are suggested to underlie observed clustering of Volvox at surfaces.
States of Carbon-12 in the Skyrme Model
P. H. C. Lau; N. S. Manton
2014-11-28T23:59:59.000Z
The Skyrme model has two Skyrmion solutions of baryon number $12$, with $D_{3h}$ and $D_{4h}$ symmetries. The first has an equilateral triangular shape and the second an extended linear shape, analogous to the triangle and linear chain structures of three alpha particles. We recalculate the moments of inertia of these Skyrmions, and deduce the energies and spins of their quantized rotational excitations. There is a good match with the ground-state band of Carbon-12, and with the recently established rotational band of the Hoyle state. The ratio of the root mean square matter radii also matches the experimental value.
Collectibility for Mixed Quantum States
?ukasz Rudnicki; Zbigniew Pucha?a; Pawe? Horodecki; Karol ?yczkowski
2012-11-02T23:59:59.000Z
Bounds analogous to entropic uncertainty relations allow one to design practical tests to detect quantum entanglement by a collective measurement performed on several copies of the state analyzed. This approach, initially worked out for pure states only [Phys. Rev. Lett. 107, 150502 (2011)], is extended here for mixed quantum states. We define collectibility for any mixed states of a multipartite system. Deriving bounds for collectibility for positive partially transposed states of given purity provides a new insight into the structure of entangled quantum states. In case of two qubits the application of complementary measurements and coincidence based detections leads to a new test of entanglement of pseudopure states.
Localized Axion Photon States in a Strong Magnetic Field
E. I. Guendelman
2008-01-04T23:59:59.000Z
We consider the axion field and electromagnetic waves with rapid time dependence, coupled to a strong time independent, asymptotically approaching a constant at infinity "mean" magnetic field, which takes into account the back reaction from the axion field and electromagnetic waves with rapid time dependence in a time averaged way. The direction of the self consistent mean field is orthogonal to the common direction of propagation of the axion and electromagnetic waves with rapid time dependence and parallel to the polarization of these electromagnetic waves. Then, there is an effective U(1) symmetry mixing axions and photons. Using the natural complex variables that this U(1) symmetry suggests we find localized planar soliton solutions. These solutions appear to be stable since they produce a different magnetic flux than the state with only a constant magnetic field, which we take as our "ground state". The solitons also have non trivial U(1) charge defined before, different from the uncharged vacuum.
State Energy Program Operations Manual
Office of Building Technology, State and Community Programs
1999-03-17T23:59:59.000Z
The State Energy Program Operations Manual is a reference tool for the states and the program officials at the U.S. Department of Energy's Office of Building Technology, State and Community Programs and Regional Support Offices as well as State Energy Offices. The Manual contains information needed to apply for and administer the State Energy Program, including program history, application rules and requirements, and program administration and monitoring requirements.
Transboundary aquifers: Southwestern states assess
Wythe, Kathy
2008-01-01T23:59:59.000Z
tx H2O | pg. 14 Southwestern states assess Researchers from three universities in Texas, New Mexico, and Arizona and from the U.S. Geological Survey (USGS) are partnering on a new project to evaluate aquifers that span the United States... and Mexico borders. The federally funded project, known as United States-Mexico Transboundary Aquifer Assessment, will provide a scientific foundation for state and local officials to address pressing water resources challenges in the United States...
State Clean Energy Policies Analysis (SCEPA): State Tax Incentives
Lantz, E.; Doris, E.
2009-10-01T23:59:59.000Z
As a policy tool, state tax incentives can be structured to help states meet clean energy goals. Policymakers often use state tax incentives in concert with state and federal policies to support renewable energy deployment or reduce market barriers. This analysis used case studies of four states to assess the contributions of state tax incentives to the development of renewable energy markets. State tax incentives that are appropriately paired with complementary state and federal policies generally provide viable mechanisms to support renewable energy deployment. However, challenges to successful implementation of state tax incentives include serving project owners with limited state tax liability, assessing appropriate incentive levels, and differentiating levels of incentives for technologies with different costs. Additionally, state tax incentives may result in moderately higher federal tax burdens. These challenges notwithstanding, state tax incentives that consider certain policy design characteristics can support renewable energy markets and state clean energy goals.The scale of their impact though is directly related to the degree to which they support the renewable energy markets for targeted sectors and technologies. This report highlights important policy design considerations for policymakers using state tax incentives to meet clean energy goals.
Nearest Neighbor Search with Strong Location Privacy Stavros Papadopoulos
Papadias, Dimitris
information retrieval (PIR) functionality. Specifically, we employ secure hardware-aided PIR, which has been proven very efficient and is currently considered as a practical mechanism for PIR. Initially, we devise a benchmark solution building upon an existing PIR-based technique. Subsequently, we identify its drawbacks
Scientific output of Croatian universities: comparison with neighboring countries
Podobnik, Boris
and Katica Biljakovic2 1Faculty of Civil Engineering, University of Rijeka, Rijeka, Croatia Zagreb School of Economics and Management, Zagreb, Croatia 2 Institute of Physics, Zagreb, Croatia Abstract We compare of an institution. In the 2003 ranking, there were no universities from Croatia, but there were some universities
Local Randomization in Neighbor Selection Improves PRM Roadmap Quality
Boyd, Bryan 1985-
2012-08-27T23:59:59.000Z
Probabilistic Roadmap Methods (PRMs) are one of the most used classes of motion planning methods. These sampling-based methods generate robot configurations (nodes) and then connect them to form a graph (roadmap) containing representative feasible...
Border fixity : when good fences make bad neighbors
Atzili, Boaz
2006-01-01T23:59:59.000Z
Since the end of the Second World War, a norm of "border fixity" - a proscription of foreign conquest and annexation of homeland territory - has become prevalent in world politics. Such practices are no longer acceptable ...
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Carbonell, Jaime
Mellon University jgc@cs.cmu.edu Abstract Rare category detection is an open challenge for active for data mining - e.g. detecting new financial transaction fraud patterns, where normal legitimate to stopping similar future fraud transactions [2]. Another example is in astronomy. Most of the objects in sky
A Novel Neighbor Discovery Protocol for Ultraviolet Wireless Networks
Krishnamurthy, Srikanth
in terms of building advanced low cost, low power and small size light emitting diodes (LEDs) that operate
Power Lines and Crops Can Be Good Neighbors
none,
2010-08-01T23:59:59.000Z
Two of the Pacific Northwest’s greatest economic assets are its wealth of agriculture and its clean and reliable electricity fueled largely by hydropower. Sometimes the two intersect. Transmission lines carrying electricity to the region’s farms, businesses and homes must, of necessity, span large areas where people grow crops and orchards. To ensure a safe and reliable flow of electricity across these expanses, trees and other vegetation must be managed to certain standards. At the same time, the Bonneville Power Administration — which owns and operates three-quarters of the region’s high-voltage transmission — recognizes the importance of our region’s agricultural bounty. We are committed to working with individuals and agricultural communities to facilitate ongoing land-use activities in transmission rights-of-way as long as those uses are compatible with transmission safety and reliability standards. Our goal with vegetation management is to keep you and your property safe while protecting the reliability of our region’s electricity system. By working together, BPA and landowners can protect the system and public safety.
Nearest Neighbor Conditional Estimation for Harris Recurrent Markov Chains
Sancetta, Alessio
and to estimate Ei?1f (Xi) (Ei?1 is expectation conditional on the sigma algebra generated by (Xs)sEi?1f (Xi) over some class of functions from which we can derive conditional extremum estimators. Most common examples include... . To formalize this we need the following additional condition, which is minimal. Condition 19 For any x ? C ? E, let G = Gx be any arbitrary open set that contains f0 (x) and let Gc be its complement. Then, inf f?Gc Pf (x) > Pf0 (x) . Corollary 20 Suppose (F, ?...
Entropy based Nearest Neighbor Search in High Dimensions Rina Panigrahy #
Pratt, Vaughan
functions (that tend to map nearby points to the same value) to construct several hash tables to ensure a data structure of size â? O(n 1/(1-#) ) to answer queries in â? O(d) time. By applying this analysis dimensional Euclidean space: given a database of n points in a d # Department of Computer Science, Stanford
alternating nearest neighbor: Topics by E-print Network
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der Pol oscillators and it is stable even in presence of a spread of parameters. R. Yamapi; H. G. Enjieu Kadji; G. Filatrella 2010-01-19 144 Quantum simulation of Heisenberg...
Strong partnerships with our northern New Mexico neighbors
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary900SteepStrengthening northern New Mexico'sStrong
Community Wind Handbook/Engage with Neighbors | Open Energy Information
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Thanks to Our Neighbors in Fighting Fire on INL
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructureProposedPAGESafetyTed Donat AboutTextiles (2010 MECS)Thanks to
Method and means for remote removal of guide balls from nuclear reactor control rods
Krieg, A.H.
1988-11-29T23:59:59.000Z
This patent describes a method of remotely removing guide balls from nuclear reactor control rods using a punch mechanism, comprising: (a) providing attachment means in the punch mechanism for attaching the punch mechanism to means for reversibly lowering the punch mechanism over the top of one of the control rods; (b) providing a die within the punch mechanism; (c) providing cylinder means within the punch mechanism operatively connected to the die for axially moving the die in a back-and-forth direction; (d) providing a die block within the punch mechanism cooperating with the die; (e) providing guide means within the punch mechanism for self-aligning the punch mechanism so that the die and the die block are automatically aligned with a first one of the guide balls therebetween when the punch mechanism is lowered over the top of the control rod; (f) lowering the punch mechanism over the control rod so that the die, the die block, and the first guide ball are in alignment; and (g) then operating the cylinder means so that the die advances into the die block, thereby removing the first guide ball from the control rod.
Chaotic mean wind in turbulent thermal convection and long-term correlations in solar activity
A. Bershadskii
2009-12-25T23:59:59.000Z
It is shown that correlation function of the mean wind velocity in a turbulent thermal convection (Rayleigh number $Ra \\sim 10^{11}$) exhibits exponential decay with a very long correlation time, while corresponding largest Lyapunov exponent is certainly positive. These results together with the reconstructed phase portrait indicate presence of a chaotic component in the examined mean wind. Telegraph approximation is also used to study relative contribution of the chaotic and stochastic components to the mean wind fluctuations and an equilibrium between these components has been studied. Since solar activity is based on the thermal convection processes, it is reasoned that the observed solar activity long-term correlations can be an imprint of the mean wind chaotic properties. In particular, correlation function of the daily sunspots number exhibits exponential decay with a very long correlation time and corresponding largest Lyapunov exponent is certainly positive, also relative contribution of the chaotic and stochastic components follows the same pattern as for the convection mean wind.
Kumar S. Gupta; Siddhartha Sen
2008-06-03T23:59:59.000Z
We present a quantum analysis of the massless excitations in graphene with a charge impurity. When the effective charge exceeds a certain critical value, the spectrum is quantized and is unbounded from below. The corresponding eigenstates are square-integrable at infinity and have a rapidly oscillatory behaviour in the short distance, which can be interpreted as a fall to the centre. Using a cutoff regularization, we show that the effective Coulomb interaction strength is driven to its critical value under the renormalization group flow. In the subcritical region, we find bound states with imaginary values of the energy for certain range of the system parameters. The physical significance of these bound states with imaginary eigenvalues is discussed.
Russell, Darrell James
1995-01-01T23:59:59.000Z
seemed to have problems doing so, myself. Finally, I must give special acknowledgment to Debbie Hutchins for listening to me whine. TABLE OF CONTENTS ABSTRACT. DEDICATION. Page iv ACKNOWLEDGMENTS. . TABLE OF CO~5. . CHAPTER I INTRODUCTION. II.... Protective Policy Possibilities. . IV PROTECTIVE WELFARE. 8 11 14 25 29 30 34 39 43 50 56 Case 1: Roads. . Case 2: Education. Case 3: The Marshall Plan. . Arguments and Analysis. V A NOZICKIAN STATE Policy Objedions...