National Library of Energy BETA

Sample records for improvement network brain

  1. Scaling in topological properties of brain networks

    E-Print Network [OSTI]

    Singh, Soibam Shyamchand; Ishrat, Romana; Sharma, B Indrajit; Singh, R K Brojen

    2015-01-01

    The organization in brain networks shows highly modular features with weak inter-modular interaction. The topology of the networks involves emergence of modules and sub-modules at different levels of constitution governed by fractal laws. The modular organization, in terms of modular mass, inter-modular, and intra-modular interaction, also obeys fractal nature. The parameters which characterize topological properties of brain networks follow one parameter scaling theory in all levels of network structure which reveals the self-similar rules governing the network structure. The calculated fractal dimensions of brain networks of different species are found to decrease when one goes from lower to higher level species which implicates the more ordered and self-organized topography at higher level species. The sparsely distributed hubs in brain networks may be most influencing nodes but their absence may not cause network breakdown, and centrality parameters characterizing them also follow one parameter scaling la...

  2. Sparse Brain Network Recovery under Compressed Sensing

    E-Print Network [OSTI]

    Chung, Moo K.

    a small set of noisy measurements. We briefly show that the penalized linear regression for partial for a sparse brain network recovery. As an illustration, we construct sparse brain networks of 97 regions the government of Korea to M.K.C., by grant No. R31-2008-000-10103-0 from the WCU project of the MEST and the NRF

  3. Network induces burst synchronisation in cat brain

    E-Print Network [OSTI]

    Ewandson L. Lameu; Fernando S. Borges; Rafael R. Borges; Antonio M. Batista; Murilo S. Baptista; Ricardo L. Viana

    2015-03-07

    The brain of mammals are divided into different cortical areas that are anatomically connected forming larger networks which perform cognitive tasks. The cat cerebral cortex is composed of 65 areas organised into the visual, auditory, somatosensory-motor and frontolimbic cognitive regions. We have built a network of networks, in which networks are connected among themselves according to the connections observed in the cat cortical areas aiming to study how inputs drive the synchronous behaviour in this cat brain-like network. We show that without external perturbations it is possible to observe high level of bursting synchronisation between neurons within almost all areas, except for the auditory area. Bursting synchronisation appears between neurons in the auditory region when an external perturbation is applied in another cognitive area. This is a clear evidence that pattern formation and collective behaviour in the brain might be a process mediated by other brain areas under stimulation.

  4. When Network Coding improves the Performances of Clustered Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    When Network Coding improves the Performances of Clustered Wireless Networks that significantly increases the performances of clustering algorithms in wireless multi-hop networks-XOR coding; wireless multi-hop networks; clustering I. INTRODUCTION Partitioning nodes

  5. Exploring candidate genes for human brain diseases from a brain-specific gene network

    E-Print Network [OSTI]

    Jiang,Tianzi

    identifying multiple candidate genes for genetic human brain diseases from a brain-specific gene network; Candidate genes Many common human brain diseases, such as schizo- phrenia, Alzheimer's disease, Parkinson's disease, depres- sion, etc., have prominent genetic components [1,2]. Most researchers think that large

  6. An Algebraic Topological Method for Multimodal Brain Networks Comparisons

    E-Print Network [OSTI]

    Simas, Tiago; Rodriguez, Pablo; Diaz-Guilera, Albert

    2015-01-01

    Understanding brain connectivity has become one of the most important issues in neuroscience. But connectivity data can reflect either the functional relationships of the brain activities or the anatomical properties between brain areas. Although one should expect a clear relationship between both representations it is not straightforward. Here we present a formalism that allows for the comparison of structural (DTI) and functional (fMRI) networks by embedding both in a common metric space. In this metric space one can then find for which regions the two networks are significantly different. Our methodology can be used not only to compare multimodal networks but also to extract statistically significant aggregated networks of a set of subjects. Actually, we use this procedure to aggregate a set of functional (fMRI) networks from different subjects in an aggregated network that is compared with the anatomical (DTI) connectivity. The comparison of the aggregated network reveals some features that are not observ...

  7. Complex Networks - A Key to Understanding Brain Function

    SciTech Connect (OSTI)

    Olaf Sporns

    2008-01-23

    The brain is a complex network of neurons, engaging in spontaneous and evoked activity that is thought to be the main substrate of mental life.  How this complex system works together to process information and generate coherent cognitive states, even consciousness, is not yet well understood.  In my talk I will review recent studies that have revealed characteristic structural and functional attributes of brain networks, and discuss efforts to build computational models of the brain that are informed by our growing knowledge of brain anatomy and physiology.

  8. Complex Networks - A Key to Understanding Brain Function

    ScienceCinema (OSTI)

    Olaf Sporns

    2010-01-08

    The brain is a complex network of neurons, engaging in spontaneous and evoked activity that is thought to be the main substrate of mental life.  How this complex system works together to process information and generate coherent cognitive states, even consciousness, is not yet well understood.  In my talk I will review recent studies that have revealed characteristic structural and functional attributes of brain networks, and discuss efforts to build computational models of the brain that are informed by our growing knowledge of brain anatomy and physiology.

  9. Comparisons of topological properties in autism for the brain network construction methods

    E-Print Network [OSTI]

    Chung, Moo K.

    be analyzed from its networks. Recently, attempts to model the human brain as a network of brain regions Engineering, Yonsei University, Wonju, Korea; b Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI, USA ABSTRACT Structural brain networks can be constructed from the white matter

  10. Stochastic generation of biologically accurate brain networks 

    E-Print Network [OSTI]

    Aluri, Aravind

    2006-04-12

    Gen . . . . . . . . . . . . . . . . . . . 31 2. Synapses in NeuroConstruct . . . . . . . . . . . . . . 32 D. Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 V LATTICE/GROUP : : : : : : : : : : : : : : : : : : : : : : : : : 35 A. Introduction... . . . . . . . . . . . . . . . . . . . . . . . . . . 35 B. Background . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1. Lattice geometry . . . . . . . . . . . . . . . . . . . . . 35 2. Examples of lattice geometry . . . . . . . . . . . . . . 35 C. Lattice structures in the brain...

  11. Fast Filament Tracking Using Graphics Hardware Brain Networks Lab

    E-Print Network [OSTI]

    Keyser, John

    Fast Filament Tracking Using Graphics Hardware Brain Networks Lab Texas A&M University TAMU, that are difficult to visualize. In this paper, we de- scribe a method for tracking filaments and show how data set, a large volume is processed allowing the filaments to be traced in a local frame positioned

  12. Robotic actions in the human brain Robotic movement preferentially engages the action observation network

    E-Print Network [OSTI]

    Hamilton, Antonia

    Robotic actions in the human brain 1 Robotic movement., Stadler, W. & Prinz, W. (in press / 2011). Robotic movement preferentially engages the action observation network. Human Brain Mapping. #12;Robotic

  13. An improved dosimetric model of the head and brain 

    E-Print Network [OSTI]

    Bouchet, Lionel Gerard

    1995-01-01

    During the last decade, various brain imaging methods using radionuclides have become available. Due to the introduction of new techniques, a small-scale dosimetry study of the brain, and more specifically the organs of ...

  14. Improving performance of TCP over wireless networks 

    E-Print Network [OSTI]

    Mehta, Miten N.

    1998-01-01

    TCP has been designed and tuned to perform well on a phics. wired network made up of links with low bit-error rates. Wireless networks and heterogeneous networks consisting of wired and wireless links have many different characteristics compared...

  15. 1 Toward an Improved Understanding of Network

    E-Print Network [OSTI]

    Riedi, Rudolf H.

    scaling phenomenon in aggregate network traffic at the packet level in terms of more elementary properties understanding of the effects of large-time scaling properties in measured network traffic on the design and end-to-end congestion control mechanisms that play a central role in modern-day data networks

  16. Advances in MRI to probe the functional and structural network of the macaque brain

    E-Print Network [OSTI]

    Khachaturian, Mark Haig, 1979-

    2007-01-01

    Diffusion MRI and fMRI have provided neuroscientists with non-invasive tools to probe the functional and structural network of the brain. Diffusion MRI is a neuroimaging technique capable of measuring the diffusion of water ...

  17. Selective Development of Anticorrelated Networks in the Intrinsic Functional Organization of the Human Brain

    E-Print Network [OSTI]

    Ofen, Noa

    We examined the normal development of intrinsic functional connectivity of the default network (brain regions typically deactivated for attention-demanding tasks) as measured by resting-state fMRI in children, adolescents, ...

  18. Offline Memory Reprocessing: Involvement of the Brain's Default Network in Spontaneous Thought Processes

    E-Print Network [OSTI]

    Jiang,Tianzi

    Offline Memory Reprocessing: Involvement of the Brain's Default Network in Spontaneous Thought active during the task-free state. Interestingly, we found that offline reprocessing of previously integration and functional separation among its component regions to execute offline memory reprocessing

  19. Characterizing and Detecting Cohesive Subgroups with Applications to Social and Brain Networks 

    E-Print Network [OSTI]

    Ertem Oktay, Makbule Zeynep

    2015-08-06

    and robust clustering analysis of animal brain networks utilizing a unique and novel experimental data. In collaboration with TIPS, we have analyzed multiple pairs of fMRI data about animal brains that are measured before and after a concussion. We utilize...

  20. Understanding and improving Web page load times on modern networks

    E-Print Network [OSTI]

    Netravali, Ravi Arun

    2015-01-01

    This thesis first presents a measurement toolkit, Mahimahi, that records websites and replays them under emulated network conditions. Mahimahi improves on prior record-and-replay frameworks by emulating the multi-origin ...

  1. Abductive Network Committees for Improved Classification of Medical Data

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    Abductive Network Committees for Improved Classification of Medical Data R. E. Abdel-Aal Center standard medical datasets. Methods: Two standard 2-class medical datasets (Pima Indians Diabetes and Heart mining and machine learning techniques for classification, association detection, sequential

  2. Development of the Brain Tissue Scanner Brain Networks Laboratory Technical Report

    E-Print Network [OSTI]

    Adult mouse data source Adult rat data source Shrinkage upon embedding 2.2 Mounts for whole rodent brain Design problem Proposed solution Rodent brain blocking tools Recommended mold sizes 2.3 Mounts for human piece and its physical sectioning 3.4 Stage 3D coordinate system: home positions and directions

  3. Wireless Sensor Network for Improving the Energy Efficiency of Data Centers

    E-Print Network [OSTI]

    Mahdavi, Rod

    2014-01-01

    Data  Center  Energy  Use  Breakdown   Wireless  Sensor  Wireless  Sensor  Network  for  Improving  the  Energy  Wireless  Sensor  Network  for  Improving  the  Energy  

  4. Proteins, anatomy and networks of the fruit fly brain 

    E-Print Network [OSTI]

    Knowles-Barley, Seymour Francis

    2012-06-25

    Our understanding of the complexity of the brain is limited by the data we can collect and analyze. Because of experimental limitations and a desire for greater detail, most investigations focus on just one aspect of the ...

  5. Improving network routing performance in dynamic environments 

    E-Print Network [OSTI]

    Liu, Yong

    2007-04-25

    - lization and path quality diversity factors (asymmetric topology, Pareto type traffic) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 19 Average delay and average loss rate of best-path-only MRC . . . . . 41 20 Routing vector for one pair... are in Mbps . . . . . . . . . . . . . . . . . 66 38 Inhouse traffic end to end delay improvement: asymmetric topol- ogy, Pareto traffic. Topology 1 to 9: 4x2 4x3 4x4 10x2 10x3 10x4 20x2 20x3 20x4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66...

  6. HIERARCHICAL TOPOLOGICAL NETWORK ANALYSIS OF ANATOMICAL HUMAN BRAIN CONNECTIVITY AND

    E-Print Network [OSTI]

    RELATED TO SEX AND KINSHIP By Julio M. Duarte-Carvajalino, Neda Jahanshad, Christophe Lenglet, Katie L. Mc Human Brain Connectivity and Differences Related to Sex and Kinship Julio M. Duarte-Carvajalinoa , Neda- Corresponding author Email addresses: duart022@umn.edu (Julio M. Duarte-Carvajalino), neda

  7. Will Cyber-Insurance Improve Network Security? A Market Analysis

    E-Print Network [OSTI]

    , Microsoft, etc.), cyber-insurers (e.g., ISPs, cloud providers, security vendors, etc.), regulatory agenciesWill Cyber-Insurance Improve Network Security? A Market Analysis Ranjan Pal University of Southern--Recent work in security has illustrated that solutions aimed at detection and elimination of security threats

  8. Converging Redundant Sensor Network Information for Improved Building Control

    SciTech Connect (OSTI)

    Dale Tiller; D. Phil; Gregor Henze; Xin Guo

    2007-09-30

    This project investigated the development and application of sensor networks to enhance building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, but current sensor technology and control algorithms limit the effectiveness of these systems. For example, most of these systems rely on single monitoring points to detect occupancy, when more than one monitoring point could improve system performance. Phase I of the project focused on instrumentation and data collection. During the initial project phase, a new occupancy detection system was developed, commissioned and installed in a sample of private offices and open-plan office workstations. Data acquisition systems were developed and deployed to collect data on space occupancy profiles. Phase II of the project demonstrated that a network of several sensors provides a more accurate measure of occupancy than is possible using systems based on single monitoring points. This phase also established that analysis algorithms could be applied to the sensor network data stream to improve the accuracy of system performance in energy management and security applications. In Phase III of the project, the sensor network from Phase I was complemented by a control strategy developed based on the results from the first two project phases: this controller was implemented in a small sample of work areas, and applied to lighting control. Two additional technologies were developed in the course of completing the project. A prototype web-based display that portrays the current status of each detector in a sensor network monitoring building occupancy was designed and implemented. A new capability that enables occupancy sensors in a sensor network to dynamically set the 'time delay' interval based on ongoing occupant behavior in the space was also designed and implemented.

  9. Converging Redundant Sensor Network Information for Improved Building Control

    SciTech Connect (OSTI)

    Dale K. Tiller; Gregor P. Henze

    2005-12-01

    This project is investigating the development and application of sensor networks to enhance building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, but current sensor technology and control algorithms limit the effectiveness of these systems. For example, most of these systems rely on single monitoring points to detect occupancy, when more than one monitoring point would improve system performance. Phase I of the project focused on instrumentation and data collection. In Phase I, a new occupancy detection system was developed, commissioned and installed in a sample of private offices and open-plan office workstations. Data acquisition systems were developed and deployed to collect data on space occupancy profiles. In phase II of the project, described in this report, we demonstrate that a network of several sensors provides a more accurate measure of occupancy than is possible using systems based on single monitoring points. We also establish that analysis algorithms can be applied to the sensor network data stream to improve the accuracy of system performance in energy management and security applications, and show that it may be possible to use sensor network pulse rate to distinguish the number of occupants in a space. Finally, in this phase of the project we also developed a prototype web-based display that portrays the current status of each detector in a sensor network monitoring building occupancy. This basic capability will be extended in the future by applying an algorithm-based inference to the sensor network data stream, so that the web page displays the likelihood that each monitored office or area is occupied, as a supplement to the actual status of each sensor.

  10. Opportunities to save energy and improve comfort by using wireless sensor networks in buildings

    E-Print Network [OSTI]

    Wang, Danni; Arens, Edward; Federspiel, Cliff

    2003-01-01

    realization of ultra-low energy wireless sensor networks.TO SAVE ENERGY AND IMPROVE COMFORT BY USING WIRELESS SENSOR

  11. Improved Cognitive Function After Transcranial, Light-Emitting Diode Treatments in Chronic, Traumatic Brain Injury: Two Case Reports

    E-Print Network [OSTI]

    Naeser, Margaret A.

    Objective: Two chronic, traumatic brain injury (TBI) cases, where cognition improved following treatment with red and near-infrared light-emitting diodes (LEDs), applied transcranially to forehead and scalp areas, are ...

  12. Transport Layer Approaches for Improving Idle Energy in Challenged Sensor Networks

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    Transport Layer Approaches for Improving Idle Energy in Challenged Sensor Networks Yong Wang, Chieh Terms Design, Performance Keywords DTN, challenged sensor networks, idle energy, transport protocol, the study of energy efficient networking solutions in sensor networks has been focusing on networks

  13. Multimodal Imaging of Alzheimer Pathophysiology in the Brain's Default Mode Network

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Shin, Jonghan; Kepe, Vladimir; Small, Gary W.; Phelps, Michael E.; Barrio, Jorge R.

    2011-01-01

    The spatial correlations between the brain's default mode network (DMN) and the brain regions known to develop pathophysiology in Alzheimer's disease (AD) have recently attracted much attention. In this paper, we compare results of different functional and structural imaging modalities, including MRI and PET, and highlight different patterns of anomalies observed within the DMN. Multitracer PET imaging in subjects with and without dementia has demonstrated that [C-11]PIB- and [F-18]FDDNP-binding patterns in patients with AD overlap within nodes of the brain's default network including the prefrontal, lateral parietal, lateral temporal, and posterior cingulate cortices, with the exception of the medial temporalmore »cortex (especially, the hippocampus) where significant discrepancy between increased [F-18]FDDNP binding and negligible [C-11]PIB-binding was observed. [F-18]FDDNP binding in the medial temporal cortex—a key constituent of the DMN—coincides with both the presence of amyloid and tau pathology, and also with cortical areas with maximal atrophy as demonstrated by T1-weighted MR imaging of AD patients.« less

  14. Entry on "Philosophical Issues in Brain Theory" for the HANDBOOK OF BRAIN THEORY AND NEURAL NETWORKS (ed, M. Arbib)

    E-Print Network [OSTI]

    Clark, Andy

    Entry on "Philosophical Issues in Brain Theory" for the HANDBOOK OF BRAIN THEORY AND NEURAL for understanding the mind and the brain? The first question concerns a fundamental assumption of most researchers sciences can help to constrain cognitive scientific models. Finally, the third question focuses attention

  15. CNNcon: Improved Protein Contact Maps Prediction Using Cascaded Neural Networks

    E-Print Network [OSTI]

    2013-01-01

    Top L/5 predicted. PROFcon j Neural network based; Top L/2of proteins with neural networks and correlated mutations.using 2D-recursive neural networks. Nucleic Acids Research

  16. Do Social Networks Improve eCommerce? A Study on Social Marketplaces

    E-Print Network [OSTI]

    Zhao, Ben Y.

    of friends (FOF). To evaluate the potential impact of social networking on online marketplaces, we study userDo Social Networks Improve e­Commerce? A Study on Social Marketplaces Gayatri Swamynathan, Christo 93106 {gayatri, bowlin, bboe, almeroth, ravenben}@cs.ucsb.edu ABSTRACT Social networks have made

  17. Do Social Networks Improve e-Commerce? A Study on Social Marketplaces

    E-Print Network [OSTI]

    Almeroth, Kevin C.

    of friends (FOF). To evaluate the potential impact of social networking on online marketplaces, we study userDo Social Networks Improve e-Commerce? A Study on Social Marketplaces Gayatri Swamynathan, Christo 93106 {gayatri, bowlin, bboe, almeroth, ravenben}@cs.ucsb.edu ABSTRACT Social networks have made

  18. Modelling Microtubules in the Brain as n-qudit Quantum Hopfield Network and Beyond

    E-Print Network [OSTI]

    Dayal Pyari Srivastava; Vishal Sahni; Prem Saran Satsangi

    2015-05-02

    The scientific approach to understand the nature of consciousness revolves around the study of human brain. Neurobiological studies that compare the nervous system of different species have accorded highest place to the humans on account of various factors that include a highly developed cortical area comprising of approximately 100 billion neurons, that are intrinsically connected to form a highly complex network. Quantum theories of consciousness are based on mathematical abstraction and Penrose-Hameroff Orch-OR Theory is one of the most promising ones. Inspired by Penrose-Hameroff Orch-OR Theory, Behrman et. al. (Behrman, 2006) have simulated a quantum Hopfield neural network with the structure of a microtubule. They have used an extremely simplified model of the tubulin dimers with each dimer represented simply as a qubit, a single quantum two-state system. The extension of this model to n-dimensional quantum states, or n-qudits presented in this work holds considerable promise for even higher mathematical abstraction in modelling consciousness systems.

  19. Optogenetic Brain Interfaces

    E-Print Network [OSTI]

    Pashaie, Ramin

    The brain is a large network of interconnected neurons where each cell functions as a nonlinear processing element. Unraveling the mysteries of information processing in the complex networks of the brain requires versatile ...

  20. Performance improvement of wavelength-routed networks using prior transmission

    E-Print Network [OSTI]

    Wai, Ping-kong Alexander

    -rate/format transparency of data transmission is guaranteed. Recently, new architectures of WR networks such as optical networks with short duration traffic. As shown in Section 2, the minimum Tsetup is the round trip time). If the centralized control approach is used for lighpath setup, Tsetup depends on the round trip delay from

  1. IPA: improved phone modelling with recurrent neural networks 

    E-Print Network [OSTI]

    Robinson, Tony; Hochberg, Mike; Renals, Steve

    This paper describes phone modelling improvements to the hybrid connectionist-hidden Markov model speech recognition system developed at Cambridge University. These improvements are applied to phone recognition from the ...

  2. Optimal Transmission Switching in Electric Networks for Improved Economic Operations1

    E-Print Network [OSTI]

    Ferris, Michael C.

    1 Optimal Transmission Switching in Electric Networks for Improved Economic Operations1 Emily. Abstract Growing demand for electric power seems to necessitate new transmission lines, but obstacles" bulk electric grid, one that is more controllable and flexible. Optimal transmission switching

  3. Improving Distributed Virtual Network Embedding with O#ine Optimization # Samir Tazine Ibrahim Matta +

    E-Print Network [OSTI]

    Improving Distributed Virtual Network Embedding with O#ine Optimization # Samir Tazine Ibrahim role in the future. To provide such solutions e#ectively, internet provi­ ders face the problem of optimizing the allocation of virtual networks on their physical resources. Since this problem is known

  4. Improving Distributed Virtual Network Embedding with Offline Optimization Samir Tazine Ibrahim Matta

    E-Print Network [OSTI]

    Improving Distributed Virtual Network Embedding with Offline Optimization Samir Tazine Ibrahim role in the future. To provide such solutions effectively, internet provi- ders face the problem of optimizing the allocation of virtual networks on their physical resources. Since this problem is known

  5. A Tune-up for Tor: Improving Security and Performance in the Tor Network Robin Snader

    E-Print Network [OSTI]

    Borisov, Nikita

    -run replacement net- work using the second-generation onion routing design -- Tor [8] -- has been operationalA Tune-up for Tor: Improving Security and Performance in the Tor Network Robin Snader Department The Tor anonymous communication network uses self- reported bandwidth values to select routers

  6. Improving the Energy Balance of Field-based Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Scheuermann, Peter

    Improving the Energy Balance of Field-based Routing in Wireless Sensor Networks Goce Trajcevski of the network merge into a single path. These path merging effects decrease significantly the energy balance deployments. When multiple sources transmit infor- mation simultaneously, together with energy balancing

  7. Seismic tomography of Taiwan: Improved constraints from a dense network of strong motion stations

    E-Print Network [OSTI]

    Wu, Yih-Min

    Seismic tomography of Taiwan: Improved constraints from a dense network of strong motion stations. [1] In this study, a large collection of 41,141 S-P times from the untapped records of the Taiwan from the Taiwan Central Weather Bureau Seismic Network (CWBSN) to image the Vp and Vp/Vs structures

  8. Exploiting Sensor Spatial Redundancy to Improve Network Lifetime

    E-Print Network [OSTI]

    issues. Indeed, recharging or replacing the nodes' battery may be inconvenient, or even impossible- erage. While monitoring the area of interest, sensors gather information (i.e., images), and send battery lifetime should be maximized to maximize network lifetime, a fairly intuitive approach

  9. PCube: Improving Power Efficiency in Data Center Networks

    E-Print Network [OSTI]

    Li, Baochun

    and scalable in the optimal way when considering conserving the energy waste. To further reduce the cost, we to substantially reduce energy costs incurred by networked devices in data centers. Index Terms--Energy Efficiency Stanford University California, USA shyang@stanford.edu Baochun Li University of Toronto Toronto, Canada

  10. Wireless Sensor Network for Improving the Energy Efficiency of Data Centers

    E-Print Network [OSTI]

    LBNL-6253E Wireless Sensor Network for Improving the Energy Efficiency of Data Centers Rod Mahdavi for Improving the Energy Efficiency of Data Centers Page i Disclaimer This document of Data Centers Page ii Table of Contents Page I. Executive Summary

  11. Semi-Automated Reconstruction of Vascular Networks in Knife-Edge Scanning Microscope Mouse Brain Data 

    E-Print Network [OSTI]

    Dileepkumar, Ananth

    2014-08-14

    , vascular reconstruction techniques focus either on tracing vessels at the macro-level in a whole brain or tracing micro vessels in a small section of the brain. In this thesis, I attempt to develop a new, more targeted approach to semi-automatically trace a...

  12. Fetal functional imaging portrays heterogeneous development of emerging human brain networks

    E-Print Network [OSTI]

    Schwartz, Ernst

    The functional connectivity architecture of the adult human brain enables complex cognitive processes, and exhibits a remarkably complex structure shared across individuals. We are only beginning to understand its heterogeneous ...

  13. Exploiting Idle Communication Power to Improve Wireless Network Performance and Energy Efficiency

    E-Print Network [OSTI]

    Chen, Songqing

    low and high channel rate stations. I. INTRODUCTION Mobile devices are usually driven by battery power, which we call the idle communication power of a station. In addition to battery power, mobile devicesExploiting Idle Communication Power to Improve Wireless Network Performance and Energy Efficiency

  14. Improving the Capacity in Wireless Networks Through Integrated Channel Base Station and Power Assignment

    E-Print Network [OSTI]

    Tassiulas, Leandros

    Improving the Capacity in Wireless Networks Through Integrated Channel Base Station and Power Allocation Algorithm (JRAA) that makes the channel base station and power assignment in a wireless net­ work base station and power assign­ ment. Finally several versions of the two­way channel assignment problem

  15. Exploiting Idle Communication Power to Improve Wireless Network Performance and Energy Efficiency

    E-Print Network [OSTI]

    Wang, Haining

    rate stations. I. INTRODUCTION Mobile devices are usually driven by battery power. Due to limited communication power of a station. In addition to battery power, mobile devices are very sus- ceptibleExploiting Idle Communication Power to Improve Wireless Network Performance and Energy Efficiency

  16. Improved Power-Delay Trade-off in Wireless Ad Hoc Networks Using Opportunistic Routing

    E-Print Network [OSTI]

    Lee, Yong Hoon

    Improved Power-Delay Trade-off in Wireless Ad Hoc Networks Using Opportunistic Routing Won power- delay trade-off than the conventional routing while providing up to a logarithmic boost that the power can be reduced at the expense of increased delay for both scenarios, but better trade-off can

  17. The Economic Value of Improving the Reliability of Supply on a Bulk Power Transmission Network

    E-Print Network [OSTI]

    The Economic Value of Improving the Reliability of Supply on a Bulk Power Transmission Network Economics and Management and School of Electrical and Computer Engineering Cornell University Abstract, there is no established way of measuring the economic value of reliability, and as a result, regulators have adopted

  18. Exploiting Overhearing: Flow-Aware Routing for Improved Lifetime in Ad Hoc Networks

    E-Print Network [OSTI]

    Mans, Bernard

    neighboring flows and adapt their local routing dynamically. By combining this awareness with battery- aware flow and neighborhood is then presented in Section II-D. By combining the flow awareness with batteryExploiting Overhearing: Flow-Aware Routing for Improved Lifetime in Ad Hoc Networks Nirisha

  19. SU-E-T-568: Improving Normal Brain Sparing with Increasing Number of Arc Beams for Volume Modulated Arc Beam Radiosurgery of Multiple Brain Metastases

    SciTech Connect (OSTI)

    Hossain, S; Hildebrand, K; Ahmad, S; Larson, D; Ma, L; Sahgal, A

    2014-06-01

    Purpose: Intensity modulated arc beams have been newly reported for treating multiple brain metastases. The purpose of this study was to determine the variations in the normal brain doses with increasing number of arc beams for multiple brain metastases treatments via the TrueBeam Rapidarc system (Varian Oncology, Palo Alto, CA). Methods: A patient case with 12 metastatic brain lesions previously treated on the Leksell Gamma Knife Perfexion (GK) was used for the study. All lesions and organs at risk were contoured by a senior radiation oncologist and treatment plans for a subset of 3, 6, 9 and all 12 targets were developed for the TrueBeam Rapidarc system via 3 to 7 intensity modulated arc-beams with each target covered by at least 99% of the prescribed dose of 20 Gy. The peripheral normal brain isodose volumes as well as the total beam-on time were analyzed with increasing number of arc beams for these targets. Results: All intensisty modulated arc-beam plans produced efficient treatment delivery with the beam-on time averaging 0.6–1.5 min per lesion at an output of 1200 MU/min. With increasing number of arc beams, the peripheral normal brain isodose volumes such as the 12-Gy isodose line enclosed normal brain tissue volumes were on average decreased by 6%, 11%, 18%, and 28% for the 3-, 6-, 9-, 12-target treatment plans respectively. The lowest normal brain isodose volumes were consistently found for the 7-arc treatment plans for all the cases. Conclusion: With nearly identical beam-on times, the peripheral normal brain dose was notably decreased when the total number of intensity modulated arc beams was increased when treating multiple brain metastases. Dr Sahgal and Dr Ma are currently serving on the board of international society of stereotactic radiosurgery.

  20. A Study of the Energy Saving and Capacity Improvement Potential of Power Control in Multi-hop Wireless Networks

    E-Print Network [OSTI]

    Hwu, Wen-mei W.

    A Study of the Energy Saving and Capacity Improvement Potential of Power Control in Multi with respect to energy consumption and network capacity. We show that power control large- ly improves the network capacity and energy savings in all investigated scenarios, and that utilizing a greater number

  1. Growth connectomics: the organization and re-organization of brain networks during normal and abnormal development

    E-Print Network [OSTI]

    Vértes, Petra E.; Bullmore, Edward T.

    2014-12-01

    ). This small-world architecture was originally described in the context of the collaboration graph of film actors, the power grid of the western United States, and the neuronal network of the nematode worm Caenorhabditis elegans (Watts & Strogatz, 1998...

  2. Brain Network Connectivity During Language Comprehension: Interacting Linguistic and Perceptual Subsystems

    E-Print Network [OSTI]

    Fonteneau, Elisabeth; Bozic, Mirjana; Marslen-Wilson, William D.

    2014-12-01

    of the neural activation for auditory language processing (Marinkovic et al. 2004; see Supplementary Fig. 4). Linguistically complex words (played) enhanced activity com- pared with simple words (shape) in the left perisylvian network, including 6 temporal...

  3. Power Control MAC Protocol Analysis and Improvement for Ad Hoc Networks Ping Ding, JoAnne Holliday, Aslihan Celik

    E-Print Network [OSTI]

    Holliday, JoAnne

    Power Control MAC Protocol Analysis and Improvement for Ad Hoc Networks Ping Ding, JoAnne Holliday power control protocols have been proposed to address the limited power supplies in ad hoc networks. Recent protocols suggest varying the transmission power such that the RTS/CTS handshake is done

  4. Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks

    E-Print Network [OSTI]

    Serkan Akkoyun; Tuncay Bayram; S. Okan Kara

    2013-04-11

    The neutrons emitted in heavy-ion fusion-evaporation (HIFE) reactions together with the gamma-rays cause unwanted backgrounds in gamma-ray spectra. Especially in the nuclear reactions, where relativistic ion beams (RIBs) are used, these neutrons are serious problem. They have to be rejected in order to obtain clearer gamma-ray peaks. In this study, the radiation energy and three criteria which were previously determined for separation between neutron and gamma-rays in the HPGe detectors have been used in artificial neural network (ANN) for improving of the decomposition power. According to the preliminary results obtained from ANN method, the ratio of neutron rejection has been improved by a factor of 1.27 and the ratio of the lost in gamma-rays has been decreased by a factor of 0.50.

  5. STANDARD BIG BANG NUCLEOSYNTHESIS UP TO CNO WITH AN IMPROVED EXTENDED NUCLEAR NETWORK

    SciTech Connect (OSTI)

    Coc, Alain [Centre de Spectrometrie Nucleaire et de Spectrometrie de Masse (CSNSM), CNRS/IN2P3, Universite Paris Sud, UMR 8609, Batiment 104, F-91405 Orsay Campus (France); Goriely, Stephane; Xu, Yi [Institut d'Astronomie et d'Astrophysique, Universite Libre de Bruxelles, CP 226, Boulevard du Triomphe, B-1050 Bruxelles (Belgium); Saimpert, Matthias; Vangioni, Elisabeth [Institut d'Astrophysique de Paris, UMR 7095 CNRS, Universite Pierre et Marie Curie, 98 bis Boulevard Arago, Paris 75014 (France)

    2012-01-10

    Primordial or big bang nucleosynthesis (BBN) is one of the three strong pieces of evidence for the big bang model together with the expansion of the universe and cosmic microwave background radiation. In this study, we improve the standard BBN calculations taking into account new nuclear physics analyses and enlarge the nuclear network up to sodium. This is, in particular, important to evaluate the primitive value of CNO mass fraction that could affect Population III stellar evolution. For the first time we list the complete network of more than 400 reactions with references to the origin of the rates, including Almost-Equal-To 270 reaction rates calculated using the TALYS code. Together with the cosmological light elements, we calculate the primordial beryllium, boron, carbon, nitrogen, and oxygen nuclei. We performed a sensitivity study to identify the important reactions for CNO, {sup 9}Be, and boron nucleosynthesis. We re-evaluated those important reaction rates using experimental data and/or theoretical evaluations. The results are compared with precedent calculations: a primordial beryllium abundance increase by a factor of four compared to its previous evaluation, but we note a stability for B/H and for the CNO/H abundance ratio that remains close to its previous value of 0.7 Multiplication-Sign 10{sup -15}. On the other hand, the extension of the nuclear network has not changed the {sup 7}Li value, so its abundance is still 3-4 times greater than its observed spectroscopic value.

  6. Fast Sparsely Synchronized Brain Rhythms in A Scale-Free Neural Network

    E-Print Network [OSTI]

    Kim, Sang-Yoon

    2015-01-01

    We consider a directed Barab\\'{a}si-Albert scale-free network model with symmetric preferential attachment with the same in- and out-degrees, and study emergence of sparsely synchronized rhythms for a fixed attachment degree in an inhibitory population of fast spiking Izhikevich interneurons. For a study on the fast sparsely synchronized rhythms, we fix $J$ (synaptic inhibition strength) at a sufficiently large value, and investigate the population states by increasing $D$ (noise intensity). For small $D$, full synchronization with the same population-rhythm frequency $f_p$ and mean firing rate (MFR) $f_i$ of individual neurons occurs, while for sufficiently large $D$ partial synchronization with $f_p > {\\langle f_i \\rangle}$ ($\\langle f_i \\rangle$: ensemble-averaged MFR) appears due to intermittent discharge of individual neurons; particularly, the case of $f_p > 4 {\\langle f_i \\rangle}$ is referred to as sparse synchronization. Only for the partial and sparse synchronization, MFRs and contributions of indiv...

  7. Abstract--Improvements in transmission and distribution networks can be noticed in most countries that had their system

    E-Print Network [OSTI]

    Morton, David

    , the National Electricity Regulatory Agency has established that the monthly amount of transmission system usage1 Abstract--Improvements in transmission and distribution networks can be noticed in most one of the biggest challenges is the transmission and distribution open access. In Brazil

  8. Improving the Delivery of Camptothecin through the Blood-Brain Barrier via Modulation of Paracellular Pathway using E-Cadherin Peptide

    E-Print Network [OSTI]

    Tabanor, Kayann

    2014-12-31

    The successful treatments of brain tumors and many other brain disorders have been limited due to the presence of barricade from microvascular endothelium called the blood-brain barrier (BBB). It was estimated that over 98% of newly developed...

  9. The Social Brain; An Investigation into Total Social Network Size and Relationship Closeness within a Distinct Human Population. 

    E-Print Network [OSTI]

    Brown, Philippa

    2008-06-27

    The ‘Social Brain Hypothesis’ suggests that selection for the expansion of the neocortex in primate species is thought to originate from the cognitive demands posed by social living. Research into primates, has shown ...

  10. r-shrink: A Heuristic for Improving Minimum Power Broadcast Trees in Wireless Networks

    E-Print Network [OSTI]

    Arabshahi, Payman

    network with an identified source node, the minimum power broad- cast (MPB) problem in wireless networks to better accommodate the nodes, which have been disconnected from the tree as a result of the shrinkage

  11. Improved Connectivity using Hybrid Uni/Omni-Directional Antennas in Sensor Networks 

    E-Print Network [OSTI]

    Kwon, Ji Heon

    2008-05-27

    node deployment densities and transmission radii and the levels of connectivity they guarantee. These results have significant impact on secure routing protocol design for wireless sensor networks and planning network deployments. I also present....2……………………………………………………………… 22 1 CHAPTER I INTRODUCTION 1 Wireless sensor networks (WSNs) consist of small, low-cost, low-power, multifunctional sensor nodes which can communication in short distances. Each sensor nodes consists of sensing, data processing...

  12. Improving energy efficiency in wireless sensor networks through scheduling and routing

    E-Print Network [OSTI]

    R, Rathna; 10.5121/ijassn.2012.2103

    2012-01-01

    This paper is about the wireless sensor network in environmental monitoring applications. A Wireless Sensor Network consists of many sensor nodes and a base station. The number and type of sensor nodes and the design protocols for any wireless sensor network is application specific. The sensor data in this application may be light intensity, temperature, pressure, humidity and their variations .Clustering and routing are the two areas which are given more attention in this paper.

  13. Network Performance Improvements For Web Services : : An End-to-End View

    E-Print Network [OSTI]

    Radhakrishnan, Sivasankar

    2014-01-01

    high capital expenditure (CAPEX). The limitations imposed byworst-case traffic results in high CAPEX. Oversubscribingtree topology would reduce CAPEX, but network performance

  14. Implementation and evaluation of a 2 Channel MAC protocol to improve fairness in multihop networks 

    E-Print Network [OSTI]

    Shankara, Smitha

    2001-01-01

    The standard 802.11 MAC protocol, for wireless networks, is a single channel implementation. In multihop wireless networks, scenarios can arise where a single channel MAC protocol may not perform as fairly as a 2-Channel MAC protocol. By having 2...

  15. Do Social Networks Improve e-Commerce? A Study on Social Marketplaces

    E-Print Network [OSTI]

    Almeroth, Kevin C.

    }@cs.ucsb.edu ABSTRACT Social networks have made a significant impact on how today's In- ternet users communicate, search the impact of social connections on business transactions. Our results show that while the majority of users of friends (FOF). To evaluate the potential impact of social networking on online marketplaces, we study user

  16. Relieving Overload and Improving Voltage by the Network Contribution Factor (NCF) Method

    E-Print Network [OSTI]

    , transmission network control is the fastest and cheapest control for relieving overload and controlling of Electrical Engineering, Texas A&M University, College Station, TX 77843 USA (email: songjefferson

  17. 787 mid-body job precedence networks for improving production rate

    E-Print Network [OSTI]

    Chen, Jason L., 1979-

    2012-01-01

    In a complex manufacturing environment, generating schedules, identifying deviations, and recovering from delays have a significant impact on total operational performance. At Boeing's 787 plant, a precedence network was ...

  18. Network Performance Improvements For Web Services : : An End-to-End View

    E-Print Network [OSTI]

    Radhakrishnan, Sivasankar

    2014-01-01

    Modern Web Services . . . . . . . . . . . . . . . . . . . .handshake overhead for all web services accessed by ChromeImprovements For Web Services – An End-to-End View A

  19. Improving Mobile Database Access Over Wide-Area Networks Without Degrading Consistency

    E-Print Network [OSTI]

    Satyanarayanan, Mahadev "Satya"

    degrading consistency. Cedar exploits the disk storage and processing power of a mobile client to compensate to reduce data transmission volume from a data- base server. The reduction is achieved by using content Management]: Systems General Terms Design, Performance Keywords mobile database access, wireless networks

  20. Improving Tropical Cyclogenesis Statistical Model Forecasts through the Application of a Neural Network Classifier

    E-Print Network [OSTI]

    Marzban, Caren

    /National Hurricane Center 11691 SW 17th Street Miami, FL 33165 Email: Christopher.Hennon@noaa.gov #12;2 ABSTRACT networks are able to detect nonlinear patterns in data and can be a very powerful tool for forecasting applications if they are designed and used properly. Although they are a more recent innovation than

  1. Perspective Great Expectations: Using Whole-Brain

    E-Print Network [OSTI]

    Deco, Gustavo

    Neuron Perspective Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders Gustavo Deco1,2,* and Morten L. Kringelbach3,4 1Center for Brain://dx.doi.org/10.1016/j.neuron.2014.08.034 The study of human brain networks with in vivo neuroimaging has given

  2. Early Brain Response to Low-Dose Radiation Exposure Involves Molecular Networks and Pathways Associated with Cognitive Functions, Advanced Aging and Alzheimer's Disease

    E-Print Network [OSTI]

    Lowe, Xiu R

    2009-01-01

    map (modified from IPA), all genes that were modulated in the mouse brain by exposure to ionizing radiationmap (modified from IPA), the genes that were modulated in the mouse brain by exposure to ionizing radiation

  3. Early Brain Response to Low-Dose Radiation Exposure Involves Molecular Networks and Pathways Associated with Cognitive Functions, Advanced Aging and Alzheimer's Disease

    E-Print Network [OSTI]

    Lowe, Xiu R

    2009-01-01

    Early brain response to low-dose radiation exposure involvesRunning Title: Low dose radiation affects cognitive functionEarly brain response to low-dose radiation exposure involves

  4. Does brain activity stem from high-dimensional chaotic dynamics? Evidence from the human electroencephalogram, cat cerebral cortex and artificial neuronal networks

    E-Print Network [OSTI]

    Sami El Boustani; Alain Destexhe

    2009-04-27

    Nonlinear time series analyses have suggested that the human electroencephalogram (EEG) may share statistical and dynamical properties with chaotic systems. During slow-wave sleep or pathological states like epilepsy, correlation dimension measurements display low values, while in awake and attentive subjects, there is not such low dimensionality, and the EEG is more similar to a stochastic variable. We briefly review these results and contrast them with recordings in cat cerebral cortex, as well as with theoretical models. In awake or sleeping cats, recordings with microelectrodes inserted in cortex show that global variables such as local field potentials (local EEG) are similar to the human EEG. However, in both cases, neuronal discharges are highly irregular and exponentially distributed, similar to Poisson stochastic processes. To attempt reconcile these results, we investigate models of randomly-connected networks of integrate-and-fire neurons, and also contrast global (averaged) variables, with neuronal activity. The network displays different states, such as "synchronous regular" (SR) or "asynchronous irregular" (AI) states. In SR states, the global variables display coherent behavior with low dimensionality, while in AI states, the global activity is high-dimensionally chaotic with exponentially distributed neuronal discharges, similar to awake cats. Scale-dependent Lyapunov exponents and epsilon-entropies show that the seemingly stochastic nature at small scales (neurons) can coexist with more coherent behavior at larger scales (averages). Thus, we suggest that brain activity obeys similar scheme, with seemingly stochastic dynamics at small scales (neurons), while large scales (EEG) display more coherent behavior or high-dimensional chaos.

  5. Improving the training and evaluation efficiency of recurrent neural network language models

    E-Print Network [OSTI]

    Chen, X.; Liu, X.; Gales, M. J. F.; Woodland, P. C.

    2015-04-22

    in Section 5. Experimental results on a conversational telephone speech transcription task are given in Sec- tion 6 and conclusions presented in Section 7. 2. RECURRENT NEURAL NETWORK LMS In contrast to feedforward NNLMs, recurrent NNLMs [1] represent... , NNLMs are often linearly in- terpolated with n-gram LMs to obtain both a good context coverage and strong generalisation [16, 17, 18, 1, 5, 19]. The interpolated LM probability is given by P (wi|hi?11 ) = ?PNG(wi|hi?11 ) + (1 ? ?)PRNN(wi|hi?11 ) (2) ?...

  6. Design principles and improvement of cost function based energy aware routing algorithms for wireless sensor networks

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    Design principles and improvement of cost function based energy aware routing algorithms, design principles and evaluation methods for cost function based routing algorithms. Two energy aware small changes in nodal remaining energy to large changes in the function value. For DCFR, its cost

  7. The Noisy Brain: Stochastic Dynamics as a Principle of

    E-Print Network [OSTI]

    Rolls, Edmund T.

    The Noisy Brain: Stochastic Dynamics as a Principle of Brain Function Edmund T. Rolls Oxford Centre random spiking times of individual neurons produce a source of noise in the brain. The aim of this book is to consider the effects of this and other noise on brain pro- cessing. We show that in cortical networks

  8. Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data

    E-Print Network [OSTI]

    Li, Jing

    Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data Shui Huang2 , Jing Li2 to alternation in the functional brain network, i.e., the functional connectivity among different brain regions. In this paper, we consider the problem of learning functional brain connectivity from neuroimaging, which holds

  9. Improving network performance on multicore systems: Impact of core affinities on high throughput flows

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy,Impact AssessmentsImproving Reactor

  10. SU-E-T-206: Improving Radiotherapy Toxicity Based On Artificial Neural Network (ANN) for Head and Neck Cancer Patients

    SciTech Connect (OSTI)

    Cho, Daniel D; Wernicke, A Gabriella; Nori, Dattatreyudu; Chao, KSC; Parashar, Bhupesh; Chang, Jenghwa [Weill Cornell Medical College, NY, NY (United States)

    2014-06-01

    Purpose/Objective(s): The aim of this study is to build the estimator of toxicity using artificial neural network (ANN) for head and neck cancer patients Materials/Methods: An ANN can combine variables into a predictive model during training and considered all possible correlations of variables. We constructed an ANN based on the data from 73 patients with advanced H and N cancer treated with external beam radiotherapy and/or chemotherapy at our institution. For the toxicity estimator we defined input data including age, sex, site, stage, pathology, status of chemo, technique of external beam radiation therapy (EBRT), length of treatment, dose of EBRT, status of post operation, length of follow-up, the status of local recurrences and distant metastasis. These data were digitized based on the significance and fed to the ANN as input nodes. We used 20 hidden nodes (for the 13 input nodes) to take care of the correlations of input nodes. For training ANN, we divided data into three subsets such as training set, validation set and test set. Finally, we built the estimator for the toxicity from ANN output. Results: We used 13 input variables including the status of local recurrences and distant metastasis and 20 hidden nodes for correlations. 59 patients for training set, 7 patients for validation set and 7 patients for test set and fed the inputs to Matlab neural network fitting tool. We trained the data within 15% of errors of outcome. In the end we have the toxicity estimation with 74% of accuracy. Conclusion: We proved in principle that ANN can be a very useful tool for predicting the RT outcomes for high risk H and N patients. Currently we are improving the results using cross validation.

  11. Power Factor Improvement 

    E-Print Network [OSTI]

    Viljoen, T. A.

    1979-01-01

    and disadvantages of various locations in the electrical network are described including the cost of installation and network capacity improvement. Sizing of capacitors is also covered. Finally, some case studies involving power factor improvement are presented...

  12. Network

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxide capture CSNationalNational UserNaval TheNetwork

  13. The BDNF Val/Met Polymorphism Is Linked With Children's Reading And Language Skills And Neural Activation Patterns In The Brain's Reading Network

    E-Print Network [OSTI]

    , IPL) Implications Single nucleotide polymorphisms in genes involved in brain maturation (BDNF) impact reported controlled for effects of age, gender and parent report of child hyperactivity *Val/Met = Val

  14. Current Dosing Paradigm for Stereotactic Radiosurgery Alone After Surgical Resection of Brain Metastases Needs to Be Optimized for Improved Local Control

    SciTech Connect (OSTI)

    Prabhu, Roshan; Shu, Hui-Kuo; Hadjipanayis, Constantinos; Dhabaan, Anees; Hall, William; Raore, Bethwel; Olson, Jeffrey; Curran, Walter; Oyesiku, Nelson; Crocker, Ian

    2012-05-01

    Purpose: To describe the use of radiosurgery (RS) alone to the resection cavity after resection of brain metastases as an alternative to adjuvant whole-brain radiotherapy (WBRT). Methods and Materials: Sixty-two patients with 64 cavities were treated with linear accelerator-based RS alone to the resection cavity after surgical removal of brain metastases between March 2007 and August 2010. Fifty-two patients (81%) had a gross total resection. Median cavity volume was 8.5 cm{sup 3}. Forty-four patients (71%) had a single metastasis. Median marginal and maximum doses were 18 Gy and 20.4 Gy, respectively. Sixty-one cavities (95%) had gross tumor volume to planning target volume expansion of {>=}1 mm. Results: Six-month and 1-year actuarial local recurrence rates were 14% and 22%, respectively, with a median follow-up period of 9.7 months. Six-month and 1-year actuarial distant brain recurrence, total intracranial recurrence, and freedom from WBRT rates were 31% and 51%, 41% and 63%, and 91% and 74%, respectively. The symptomatic cavity radiation necrosis rate was 8%, with 2 patients (3%) undergoing surgery. Of the 11 local failures, 8 were in-field, 1 was marginal, and 2 were both (defined as in-field if {>=}90% of recurrence within the prescription isodose and marginal if {>=}90% outside of the prescription isodose). Conclusions: The high rate of in-field cavity failure suggests that geographic misses with highly conformal RS are not a major contributor to local recurrence. The current dosing regimen derived from Radiation Therapy Oncology Group protocol 90-05 should be optimized in this patient population before any direct comparison with WBRT.

  15. MODELLING RETINAL FEATURE DETECTION WITH DEEP BELIEF NETWORKS IN A SIMULATED ENVIRONMENT

    E-Print Network [OSTI]

    Bargiela, Andrzej

    of retinal implant en- gineering, but could also improve image processing and computer vision algorithmsMODELLING RETINAL FEATURE DETECTION WITH DEEP BELIEF NETWORKS IN A SIMULATED ENVIRONMENT Diana and later stages of vi- sual processing found in the brain. Lower level processes such as those found

  16. Brain Specialization for Music New Evidence from Congenital Amusia

    E-Print Network [OSTI]

    153 Brain Specialization for Music New Evidence from Congenital Amusia ISABELLE PERETZ Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada ABSTRACT: Brain specialization for music refers to the possibility that the hu- man brain is equipped with neural networks

  17. Brain-Computer Interfaces

    E-Print Network [OSTI]

    Aggarwal, Khushbu

    2009-01-01

    I \\ November 16, 2008). CNN. ’Brain’ in a dish ?ies ?ightREFERENCES Adams, Ray. Brain Computer Interfaces: Psychologyaccessed Biever, Celeste. Brain cells in a dish ?y ?ghter

  18. Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding

    E-Print Network [OSTI]

    Maclin, Rich

    for Protein Folding Richard Maclin Jude W. Shavlik Computer Sciences Dept. University of Wisconsin 1210 W learning Theory refinement Neural networks Finite-state automata Protein folding Chou-Fasman algorithm-Fasman algorithm, a method for predicting how globular proteins fold. Empirical evidence shows

  19. Improving the Reliability of Event Reports in Wireless Sensor Networks Wei Yuan, Srikanth V. Krishnamurthy, and Satish K. Tripathi

    E-Print Network [OSTI]

    Krishnamurthy, Srikanth

    fusion to detect and ignore the effects of the faulty reports. In this work, we propose a protocol called delivered to a cen- tral server or sink. Since the sensor network is typically energy and bandwidth fused to a certain extent) from other sensors and perform data fusion. As an example in Fig. 1, node C

  20. The Global Brain is Neither Global nor a Brain

    E-Print Network [OSTI]

    Rocha, Luis

    The Global Brain is Neither Global nor a Brain Adaptive Webs for Heterarchies Luis Mateus Rocha-organism or a global brain? The Global Brain Is Neither Global nor a Brain #12;!Disembodied Brain Disembodied brains on symbol-matter requirements for open-ended evolution) The Global Brain Is Neither Global Nor a Brain #12

  1. Training Algorithms for Networks of Spiking Neurons 

    E-Print Network [OSTI]

    Singh, Nityendra

    2014-12-08

    Neural networks represent a type of computing that is based on the way that the brain performs computations. Neural networks are good at fitting non-linear functions and recognizing patterns. It is believed that biological ...

  2. Network coding for robust wireless networks

    E-Print Network [OSTI]

    Kim, MinJi, Ph. D. Massachusetts Institute of Technology

    2012-01-01

    Wireless networks and communications promise to allow improved access to services and information, ubiquitous connectivity, and mobility. However, current wireless networks are not well-equipped to meet the high bandwidth ...

  3. Singing the Brain Electric

    E-Print Network [OSTI]

    Chua, Grace (Grace W. J.)

    2008-01-01

    Singing the Brain Electric Brain pacemakers, scientists have found, can treat depression by correcting neural circuitry gone haywire. This thesis examines how such technology - a technique known as deep-brain stimulation, ...

  4. Vortices in Brain waves

    E-Print Network [OSTI]

    Freeman, Walter J III; Vitiello, Giuseppe

    2010-01-01

    Burke and M. D. Holmes, Human Brain Mapping 19(4), 248 7. W.20. W. J. Freeman, How Brains Make Up Their Minds (Columbiaand K. Yasue, Quantum Brain Dynamics and Consciousness (John

  5. Biophysically Accurate Brain Modeling and Simulation using Hybrid MPI/OpenMP Parallel Processing 

    E-Print Network [OSTI]

    Hu, Jingzhen

    2012-07-16

    In order to better understand the behavior of the human brain, it is very important to perform large scale neural network simulation which may reveal the relationship between the whole network activity and the biophysical ...

  6. Wiring cost and topological participation of the mouse brain connectome

    E-Print Network [OSTI]

    Rubinov, Mikail; Ypma, Rolf J. F.; Watson, Charles; Bullmore, Edward T.

    2015-07-27

    Brain connectomes are topologically complex systems, anatomically embedded in 3D space. Anatomical conservation of “wiring cost” explains many but not all aspects of these networks. Here, we examined the relationship between topology and wiring cost...

  7. Gene expression abnormalities in the autistic brain

    E-Print Network [OSTI]

    Chow, Maggie Lok Mun

    2011-01-01

    13 Early Brain Overgrowth13 Discontinuous brainpostmortem brain ______________________________________ 33

  8. Human Functional Brain Imaging

    E-Print Network [OSTI]

    Rambaut, Andrew

    Human Functional Brain Imaging 1990­2009 September 2011 Portfolio Review Summary Brain Imaging #12 Dale ­ one of our first Trustees. Understanding the brain remains one of our key strategic aims today three-fold: · to identify the key landmarks and influences on the human functional brain imaging

  9. arXiv:1002.4583v2[cond-mat.dis-nn]1May2010 Towards Google matrix of brain

    E-Print Network [OSTI]

    Shepelyansky, Dima

    arXiv:1002.4583v2[cond-mat.dis-nn]1May2010 Towards Google matrix of brain D.L.Shepelyansky1, 2 networks. The Google matrix G is constructed on the basis of neuronal network of a brain model discussed John von Neumann traced first parallels between architecture of the computer and the brain [1]. Since

  10. Mechanisms of brain ventricle development

    E-Print Network [OSTI]

    Lowery, Laura Anne

    2008-01-01

    The brain ventricles are a conserved system of fluid-filled cavities within the brain that form during the earliest stages of brain development. Abnormal brain ventricle development has been correlated with neurodevelopmental ...

  11. Brain Prostheses as a Dynamic System (Immortalizing the Human Brain?)

    E-Print Network [OSTI]

    Vadim Astakhov; Tamara Astakhova

    2007-05-17

    Interest in development of brain prostheses, which might be proposed to recover mental functions lost due to neuron-degenerative disease or trauma, requires new methods in molecular engineering and nanotechnology to build artificial brain tissues. We develop a Dynamic Core model to analyze complexity of damaged biological neural network as well as transition and recovery of the system functionality due to changes in the system environment. We provide a method to model complexity of physical systems which might be proposed as an artificial tissue or prosthesis. Delocalization of Dynamic Core model is developed to analyze migration of mental functions in dynamic bio-systems which undergo architecture transition induced by trauma. Term Dynamic Core is used to define a set of causally related functions and Delocalization is used to describe the process of migration. Information geometry and topological formalisms are proposed to analyze information processes. A holographic model is proposed to construct dynamic environment with self-poetic Dynamic Core which preserve functional properties under transition from one host to another. We found statistical constraints for complex systems which conserve a Dynamic Core under environment transition. Also we suggest those constraints might provide recommendations for nanotechnologies and tissue engineering used in development of an artificial brain tissue.

  12. Artificial Neural Network Circuit for Spectral Pattern Recognition 

    E-Print Network [OSTI]

    Rasheed, Farah

    2013-09-04

    Artificial Neural Networks (ANNs) are a massively parallel network of a large number of interconnected neurons similar to the structure of biological neurons in the human brain. ANNs find applications in a large number of fields, from pattern...

  13. Human Functional Brain Imaging

    E-Print Network [OSTI]

    Rambaut, Andrew

    Human Functional Brain Imaging 1990­2009 September 2011 Portfolio Review #12;2 | Portfolio Review: Human Functional Brain ImagingThe Wellcome Trust is a charity registered in England and Wales, no's role in supporting human functional brain imaging and have informed `our' speculations for the future

  14. AT NORTHWESTERN NORTHWESTERN BRAIN

    E-Print Network [OSTI]

    Chisholm, Rex L.

    THE CANCER INSTITUTES AT NORTHWESTERN MEDICINE NORTHWESTERN BRAIN TUMOR INSTITUTE THE INSTITUTES AT NORTHWESTERN MEDICINE #12;THE INSTITUTES AT NORTHWESTERN MEDICINE Established in 2008, the Northwestern Brain Tumor Institute (NBTI) is a nationally recognized leader in the fight against brain and spinal cord

  15. Quantum neural networks Alexandr A. Ezhov1

    E-Print Network [OSTI]

    Martinez, Tony R.

    Quantum neural networks Alexandr A. Ezhov1 and Dan Ventura2 1 Department of Mathematics, Troitsk outlines the research, development and perspectives of quantum neural networks ­ a burgeoning new field of quantum neural networks may give us both new undestanding of brain function as well as unprecedented

  16. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

    Network Management Pag. 1 Network Management Network management and QoS provisioning - 1Andrea of this license visit: http://creativecommons.org/licenses/by-nc- /3 0/ Network management and QoS provisioning ­ Chapter 9, Network Management, of the book Jim Kurose, Keith Ross, Computer Networking, A Top Down

  17. UCIT Data Network Standards Campus Wireless Network Standard

    E-Print Network [OSTI]

    Habib, Ayman

    UCIT Data Network Standards Campus Wireless Network Standard Classification IT Infrastructure Table.1. Standardization of the U of C's 802.11 wireless networks and frequency bands is required to insure availability of the wireless network to the campus community. Standards of use will improve the wireless service and help

  18. Brain Awareness Season OHSU Brain Awareness Lecture Series

    E-Print Network [OSTI]

    Chapman, Michael S.

    Brain Awareness Season OHSU Brain Awareness Lecture Series Fascinating lectures by nationally is an opportunity for educators to learn about brain-related issues. Expert speakers familiar with current for the workshop is available on-line in January at http://seo.ohsu.edu. OHSU Brain Fair The Brain Fair features

  19. Spatiotemporal brain imaging and modeling

    E-Print Network [OSTI]

    Lin, Fa-Hsuan, 1972-

    2004-01-01

    This thesis integrates hardware development, data analysis, and mathematical modeling to facilitate our understanding of brain cognition. Exploration of these brain mechanisms requires both structural and functional knowledge ...

  20. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

    Network Management Pag. 1 Network Management Andrea Bianco Telecommunication Network Group Network management and QoS provisioning - 1Andrea Bianco ­ TNG group - Politecnico di Torino Telecommunication management and QoS provisioning - 2Andrea Bianco ­ TNG group - Politecnico di Torino Stanford, California

  1. The application of network coding to multicast routing in wireless networks

    E-Print Network [OSTI]

    Jennings, Michael (Michael Vincent)

    2007-01-01

    This thesis considers the application of network coding and opportunistic routing to improve the performance of multicast flows in wireless networks. Network coding allows routers to randomly mix packets before forwarding ...

  2. The Brain, the Broken Brain & the Neural Biology of Language

    E-Print Network [OSTI]

    Collar, Juan I.

    The Brain, the Broken Brain & the Neural Biology of Language Presenter: Steven Small Time & Date.maproom.com )1949 N. Hoyne Café Email list https://cfcpwork.uchicago.edu/mailman/listinfo/cafe #12;The Brain, the Broken Brain & the Neural Biology of Language Presenter: Steven Small Time & Date: 7-9 PM Monday

  3. EDUCATION 01 THE LEARNING BRAIN

    E-Print Network [OSTI]

    1 EDUCATION 01 THE LEARNING BRAIN: INTRODUCTION TO CHILD DEVELOPEMENT AND EDUCATION FALL of the typically developing learning brain. Course Goals · Introduce the developing field of Mind, Brain is to explore the connections between brain research and education. The assignment has 3 parts. 1) Find

  4. Google matrix analysis of directed networks

    E-Print Network [OSTI]

    Leonardo Ermann; Klaus M. Frahm; Dima L. Shepelyansky

    2015-06-19

    In past ten years, modern societies developed enormous communication and social networks. Their classification and information retrieval processing become a formidable task for the society. Due to the rapid growth of World Wide Web, social and communication networks, new mathematical methods have been invented to characterize the properties of these networks on a more detailed and precise level. Various search engines are essentially using such methods. It is highly important to develop new tools to classify and rank enormous amount of network information in a way adapted to internal network structures and characteristics. This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency on various examples including World Wide Web, Wikipedia, software architecture, world trade, social and citation networks, brain neural networks, DNA sequences and Ulam networks. The analytical and numerical matrix methods used in this analysis originate from the fields of Markov chains, quantum chaos and Random Matrix theory.

  5. MR imaging of the fetal brain

    E-Print Network [OSTI]

    Glenn, Orit A.

    2010-01-01

    development of the fetal brain by MRI. Semin Perinatol 33:determination in normal fetal brain: a prenatal MR imagingin intrauterine fetal brain development. In: Abstracts of

  6. Genomic mosaicism in the human brain

    E-Print Network [OSTI]

    Westra, Jurjen Willem

    2008-01-01

    Zlokovic BV (2008) The blood-brain barrier in health andmosaicism in the human brain ………………………………………. Chapter Threethe Alzheimer’s disease brain ………………………………. Chapter Five DNA

  7. Children's Brain Development Benefits from Longer Gestation

    E-Print Network [OSTI]

    2011-01-01

    Mapping of the Human Brain. NeuroImage, Sendai, Japan.2005). Regional deficits in brain volume in schizophrenia: areso- nance imaging of brain development in premature and

  8. Prognostic Indexes for Brain Metastases: Which Is the Most Powerful?

    SciTech Connect (OSTI)

    Arruda Viani, Gustavo, E-mail: gusviani@gmail.com [Department of Radiation Oncology, Marilia Medical School, Marilia, Sao Paulo, SP (Brazil); Bernardes da Silva, Lucas Godoi; Stefano, Eduardo Jose [Department of Radiation Oncology, Marilia Medical School, Marilia, Sao Paulo, SP (Brazil)

    2012-07-01

    Purpose: The purpose of the present study was to compare the prognostic indexes (PIs) of patients with brain metastases (BMs) treated with whole brain radiotherapy (WBRT) using an artificial neural network. This analysis is important, because it evaluates the prognostic power of each PI to guide clinical decision-making and outcomes research. Methods and Materials: A retrospective prognostic study was conducted of 412 patients with BMs who underwent WBRT between April 1998 and March 2010. The eligibility criteria for patients included having undergone WBRT or WBRT plus neurosurgery. The data were analyzed using the artificial neural network. The input neural data consisted of all prognostic factors included in the 5 PIs (recursive partitioning analysis, graded prognostic assessment [GPA], basic score for BMs, Rotterdam score, and Germany score). The data set was randomly divided into 300 training and 112 testing examples for survival prediction. All 5 PIs were compared using our database of 412 patients with BMs. The sensibility of the 5 indexes to predict survival according to their input variables was determined statistically using receiver operating characteristic curves. The importance of each variable from each PI was subsequently evaluated. Results: The overall 1-, 2-, and 3-year survival rate was 22%, 10.2%, and 5.1%, respectively. All classes of PIs were significantly associated with survival (recursive partitioning analysis, P < .0001; GPA, P < .0001; basic score for BMs, P = .002; Rotterdam score, P = .001; and Germany score, P < .0001). Comparing the areas under the curves, the GPA was statistically most sensitive in predicting survival (GPA, 86%; recursive partitioning analysis, 81%; basic score for BMs, 79%; Rotterdam, 73%; and Germany score, 77%; P < .001). Among the variables included in each PI, the performance status and presence of extracranial metastases were the most important factors. Conclusion: A variety of prognostic models describe the survival of patients with BMs to a more or less satisfactory degree. Among the 5 PIs evaluated in the present study, GPA was the most powerful in predicting survival. Additional studies should include emerging biologic prognostic factors to improve the sensibility of these PIs.

  9. Schaal S (2002) Arm and hand movement control. In: Arbib MA (ed) The handbook of brain theory and neural networks, 2nd Edition. MIT Press, Cambridge, MA, pp 110-113

    E-Print Network [OSTI]

    Schaal, Stefan

    2002-01-01

    and neural networks, 2nd Edition. MIT Press, Cambridge, MA, pp 110-113 Arm and Hand Movement Control Stefan The control of arm and hand movements in human and nonhuman primates has fascinated researchers in psychology level of movement skills. Research towards an understanding of motor control can be approached

  10. Brief Introduction to BrainSpace V2.1 BrainSpace V2.1: Geometric mapping and diffusion-based software for

    E-Print Network [OSTI]

    Hua, Jing

    State University With ever-improving imaging technologies and ever-increasing high integrated cross-subject analysis of Positron Emission Tomography (PET) (molecular-level brain activity. #12;2 Processing pipeline for geometry-based integrative analysis of brain imaging data

  11. Weak signal transmission in complex networks and its application in detecting connectivity Xiaoming Liang,1

    E-Print Network [OSTI]

    Li, Baowen

    of the biological systems, the structure and dynamics may influence each other to form an optimal functional network connectivity is very important in the networks of neurons, interacting proteins or genes, ecological food- webs, and even the functional network of brain, etc., in which the important aspects of network structure

  12. 6.2.8 Neural networks for data mining Walter Kosters

    E-Print Network [OSTI]

    Kosters, Walter

    6.2.8 Neural networks for data mining Walter Kosters 1 In many application areas neural networks distinctive member of the large family of neural networks), and we final- ly focus on their usefulness notice that the idea of neural networks originates from the physiology of the human brain. General

  13. Brain Energy Metabolism During Experimental Neonatal Seizures

    E-Print Network [OSTI]

    Wasterlain, Claude G.; Thompson, Kerry W.; Suchomelova, Lucie; Niquet, Jerome

    2010-01-01

    premature or term neonate, brain ATP concentrations measuredreversible energy loss in the hypoxic immature rat brain.Brain Res Dev Brain Res 73(1):99–105 20. King LJ, Lowry OH,

  14. Shorter-Course Whole-Brain Radiotherapy for Brain Metastases in Elderly Patients

    SciTech Connect (OSTI)

    Rades, Dirk; Evers, Jasmin N.; Veninga, Theo; Stalpers, Lukas J.A.; Lohynska, Radka; Schild, Steven E.

    2011-11-15

    Purpose: Many patients with brain metastases receive whole-brain radiotherapy (WBRT) alone. Using 10 Multiplication-Sign 3 Gy in 2 weeks is the standard regimen in most centers. Regarding the extraordinarily poor survival prognosis of elderly patients with multiple brain metastases, a shorter WBRT regimen would be preferable. This study compared 10 Multiplication-Sign 3 Gy with 5 Multiplication-Sign 4 Gy in elderly patients ({>=}65 years). Methods and Materials: Data from 455 elderly patients who received WBRT alone for brain metastases were retrospectively analyzed. Survival and local (= intracerebral) control of 293 patients receiving 10 Multiplication-Sign 3 Gy were compared with 162 patients receiving 5 Multiplication-Sign 4 Gy. Eight additional potential prognostic factors were investigated including age, gender, Karnofsky performance score (KPS), primary tumor, number of brain metastases, interval from tumor diagnosis to WBRT, extracerebral metastases, and recursive partitioning analysis (RPA) class. Results: The 6-month overall survival rates were 29% after 5 Multiplication-Sign 4 Gy and 21% after 10 Multiplication-Sign 3 Gy (p = 0.020). The 6-month local control rates were 12% and 10%, respectively (p = 0.32). On multivariate analysis, improved overall survival was associated with KPS {>=} 70 (p < 0.001), only one to three brain metastases (p = 0.029), no extracerebral metastasis (p = 0.012), and lower RPA class (p < 0.001). Improved local control was associated with KPS {>=} 70 (p < 0.001), breast cancer (p = 0.029), and lower RPA class (p < 0.001). Conclusions: Shorter-course WBRT with 5 Multiplication-Sign 4 Gy was not inferior to 10 Multiplication-Sign 3 Gy with respect to overall survival or local control in elderly patients. 5 Multiplication-Sign 4 Gy appears preferable for the majority of these patients.

  15. Wireless Magnetothermal Deep Brain Stimulation

    E-Print Network [OSTI]

    Chen, Ritchie

    Wireless deep brain stimulation of well-defined neuronal populations could facilitate the study of intact brain circuits and the treatment of neurological disorders. Here we demonstrate minimally-invasive and remote neural ...

  16. Parameter Estimation and Tracking in Physical Layer Network Coding 

    E-Print Network [OSTI]

    Jain, Manish

    2012-07-16

    Recently, there has been a growing interest in improving the performance of the wireless relay networks through the use of Physical Layer Network Coding (PLNC) techniques. The physical layer network coding technique allows ...

  17. SUB-POPULATION BRAIN ATLASES

    E-Print Network [OSTI]

    Thompson, Paul

    SUB-POPULATION BRAIN ATLASES Paul Thompson PhD, Michael S. Mega MD PhD, and Arthur W. Toga PhD Laboratory of Neuro Imaging, Brain Mapping Division and Alzheimer's Disease Center Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA 90095-1769 A Chapter in: Brain Mapping: The Methods (2nd Edition

  18. How Minds Work Brains, Ontologies &

    E-Print Network [OSTI]

    Memphis, University of

    or software agent is a virtual machine implemented on another virtual machine · The minds of humans or animals are virtual machines implemented on brains #12;Brains, Ontologies & Virtual Machines 13 Virtual1 How Minds Work Brains, Ontologies & Virtual Machines Stan Franklin Computer Science Division

  19. Cross-linked structure of network evolution

    SciTech Connect (OSTI)

    Bassett, Danielle S.; Wymbs, Nicholas F.; Grafton, Scott T.; Porter, Mason A.; CABDyN Complexity Centre, University of Oxford, Oxford, OX1 1HP ; Mucha, Peter J.; Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599

    2014-03-15

    We study the temporal co-variation of network co-evolution via the cross-link structure of networks, for which we take advantage of the formalism of hypergraphs to map cross-link structures back to network nodes. We investigate two sets of temporal network data in detail. In a network of coupled nonlinear oscillators, hyperedges that consist of network edges with temporally co-varying weights uncover the driving co-evolution patterns of edge weight dynamics both within and between oscillator communities. In the human brain, networks that represent temporal changes in brain activity during learning exhibit early co-evolution that then settles down with practice. Subsequent decreases in hyperedge size are consistent with emergence of an autonomous subgraph whose dynamics no longer depends on other parts of the network. Our results on real and synthetic networks give a poignant demonstration of the ability of cross-link structure to uncover unexpected co-evolution attributes in both real and synthetic dynamical systems. This, in turn, illustrates the utility of analyzing cross-links for investigating the structure of temporal networks.

  20. Quantitative Brain Electrical Activity in the Initial Screening of Mild Traumatic Brain Injuries

    E-Print Network [OSTI]

    O'Neil, Brian; Prichep, Leslie S.; Naunheim, Roseanne; Chabot, Robert

    2012-01-01

    investigation into mild brain injury and discriminantfrequency bands (32-64 Hz). Brain Inj. 24. Thakor NV, Tongfor accuracy traumatic brain injury. J Neuropsychiatry Clin

  1. Ivan Stojmenovic 1 Wireless Sensor Networks

    E-Print Network [OSTI]

    Stojmenovic, Ivan

    Flood detection Ivan Stojmenovic 8 Forest Fires · Provide finer granularity weather data via sensor networks · Improved prediction and management of forest fires · Univ. Colorado at Boulders (Rick Han

  2. Better Buildings Network View, July 2014

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    a set of policies and programs through energy benchmarking that improve energy efficiency in buildings. CEP is supported in part by fellow Residential Network member the Institute...

  3. SU-E-T-51: Bayesian Network Models for Radiotherapy Error Detection

    SciTech Connect (OSTI)

    Kalet, A; Phillips, M; Gennari, J [UniversityWashington, Seattle, WA (United States)

    2014-06-01

    Purpose: To develop a probabilistic model of radiotherapy plans using Bayesian networks that will detect potential errors in radiation delivery. Methods: Semi-structured interviews with medical physicists and other domain experts were employed to generate a set of layered nodes and arcs forming a Bayesian Network (BN) which encapsulates relevant radiotherapy concepts and their associated interdependencies. Concepts in the final network were limited to those whose parameters are represented in the institutional database at a level significant enough to develop mathematical distributions. The concept-relation knowledge base was constructed using the Web Ontology Language (OWL) and translated into Hugin Expert Bayes Network files via the the RHugin package in the R statistical programming language. A subset of de-identified data derived from a Mosaiq relational database representing 1937 unique prescription cases was processed and pre-screened for errors and then used by the Hugin implementation of the Estimation-Maximization (EM) algorithm for machine learning all parameter distributions. Individual networks were generated for each of several commonly treated anatomic regions identified by ICD-9 neoplasm categories including lung, brain, lymphoma, and female breast. Results: The resulting Bayesian networks represent a large part of the probabilistic knowledge inherent in treatment planning. By populating the networks entirely with data captured from a clinical oncology information management system over the course of several years of normal practice, we were able to create accurate probability tables with no additional time spent by experts or clinicians. These probabilistic descriptions of the treatment planning allow one to check if a treatment plan is within the normal scope of practice, given some initial set of clinical evidence and thereby detect for potential outliers to be flagged for further investigation. Conclusion: The networks developed here support the use of probabilistic models into clinical chart checking for improved detection of potential errors in RT plans.

  4. Does Brain-Training Make You Smarter? Evidence from Working Memory Training Studies

    E-Print Network [OSTI]

    Rose, Michael R.

    Does Brain-Training Make You Smarter? Evidence from Working Memory Training Studies Guest Lecture by Claudia von Bastian Psychology & Neuroscience be improved through cognitive training? This question is still highly controversial

  5. Information Processing in Brain Microtubules

    E-Print Network [OSTI]

    Jean Faber; Renato Portugal; Luiz Pinguelli Rosa

    2005-01-18

    Models of the mind are based on the possibility of computing in brain microtubules. From this point of view, information processing is the fundamental issue for understanding the brain mechanisms that produce consciousness. The cytoskeleton polymers could store and process information through their dynamic coupling mediated by mechanical energy. We analyze the problem of information transfer and storage in brain microtubules, considering them as a communication channel. We discuss the implications of assuming that consciousness is generated by the subneuronal process.

  6. Quantum features of consciousness, computers and brain

    E-Print Network [OSTI]

    Michael B. Mensky

    2009-10-22

    Many people believe that mysterious phenomenon of consciousness may be connected with quantum features of our world. The present author proposed so-called Extended Everett's Concept (EEC) that allowed to explain consciousness and super-consciousness (intuitive knowledge). Brain, according to EEC, is an interface between consciousness and super-consciousness on the one part and body on the other part. Relations between all these components of the human cognitive system are analyzed in the framework of EEC. It is concluded that technical devices improving usage of super-consciousness (intuition) may exist.

  7. Interference Effects in the Brain

    E-Print Network [OSTI]

    Jerzy Szwed

    2008-03-14

    Interference effects are the most spectacular manifestation of the wave nature of phenomena. This note proposes a systematic search for such effects in the brain.

  8. Melatonin and the aging brain

    E-Print Network [OSTI]

    BONDY, S; SHARMAN, E

    2007-01-01

    mitochondrial decay of aging. Mol. Aspects Med. 26, Ames,the degenerative diseases of aging. Proc. Natl. Acad. Sci.2004. Retardation of brain aging by chronic treatment with

  9. Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks

    E-Print Network [OSTI]

    Fernandez, Thomas

    Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks Maryam Mahsal developmental plasticity in Artificial Neural Networks using Carte- sian Genetic Programming. This is inspired by developmental plasticity that exists in the biological brain allowing it to adapt to a changing environment

  10. Scaling theory for information networks Melanie E. Moses1,

    E-Print Network [OSTI]

    New Mexico, University of

    , University of New Mexico, Albuquerque, NM 87131, USA 2 School of Computing, University of Utah, Salt Lake, brains, the Internet and microprocessors. Distribution networks enable the integrated and coordinated and performance of networked information systems including transistors on chips, hosts on the Internet and neurons

  11. Vascular pathology in the aged human brain

    E-Print Network [OSTI]

    Grinberg, Lea Tenenholz; Thal, Dietmar Rudolf

    2010-01-01

    vascular pathology, and the AD brain. Neurology 65: 259–265brospinal ?uid from the rat brain. Acta Neuropathol (Berl)and Alzheimer’s disease in the brains of elderly individuals

  12. Brain Receptor Structures Key to Future Therapeutics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Brain Receptor Structures Key to Future Therapeutics Brain Receptor Structures Key to Future Therapeutics Print Wednesday, 28 January 2015 00:00 With an aging population in...

  13. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S [Richland, WA; TeGrotenhuis, Ward E [Kennewick, WA; Whyatt, Greg A [West Richland, WA

    2010-01-26

    Various aspects and applications or microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  14. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S. (Richland, WA); TeGrotenhuis, Ward E. (Kennewick, WA); Whyatt, Greg A. (West Richland, WA)

    2007-09-18

    Various aspects and applications of microsystem process networks are described. The design of many types of Microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  15. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S. (Richland, WA); TeGrotenhuis, Ward E. (Kennewick, WA); Whyatt, Greg A. (West Richland, WA)

    2006-10-24

    Various aspects and applications of microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having exergetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  16. Improved techniques for passive optical networks

    E-Print Network [OSTI]

    Jorgesen, Douglas Ryan Tourtillott

    2010-01-01

    A DC-Balanced, Partitioned- Block, 8B/10B TransmissionDC balance the random data is passed through a transmission

  17. Improved techniques for passive optical networks

    E-Print Network [OSTI]

    Jorgesen, Douglas Ryan Tourtillott

    2010-01-01

    multiplexed between upstream and downstream transmission,which point the upstream and downstream signals were equallyimmunity between the upstream and downstream signal, the

  18. Improving wireless network performance using sensor hints

    E-Print Network [OSTI]

    Sivalingam, Lenin Ravindranath

    2010-01-01

    Users of wireless devices often switch between being stationary and in motion while transferring data. Protocols that perform well in the static setting (where the channel conditions are relatively stable), however, tend ...

  19. Improved Electrical Contact For Dowhhole Drilling Networks

    DOE Patents [OSTI]

    Hall, David R. (Provo, UT); Hall, Jr., H. Tracy (Provo, UT); Pixton, David S. (Lehi, UT); Dahlgren, Scott (Provo, UT); Fox, Joe (Spanish Fork, UT); Sneddon, Cameron (Provo, UT)

    2005-08-16

    An electrical contact system for transmitting information across tool joints while minimizing signal reflections that occur at the tool joints includes a first electrical contact comprising an annular resilient material. An annular conductor is embedded within the annular resilient material and has a surface exposed from the annular resilient material. A second electrical contact is provided that is substantially equal to the first electrical contact. Likewise, the second electrical contact has an annular resilient material and an annular conductor. The two electrical contacts configured to contact one another such that the annular conductors of each come into physical contact. The annular resilient materials of each electrical contact each have dielectric characteristics and dimensions that are adjusted to provide desired impedance to the electrical contacts.

  20. Improving Network Reliability: Analysis, Methodology, and Algorithms 

    E-Print Network [OSTI]

    Booker, Graham B.

    2010-07-14

    to each mode failure. These include, but are not limited to: (1) structural cellular tower collapse, (2) failure of tower foundation, (3) loss of onsite and o site power, (4) loss of microwave dish, and (5) loss of cellular antenna. Figure 2 provides... hurricane [16, 17, 21]. Assuming that on-site power is not time-dependent ignores the reality that fuel stored on-site for on-site power are limited, and refueling cellular sites may prove prohibitively di cult in some locations after a hurricane in which...

  1. Rapid brain scanning radiopharmaceutical

    DOE Patents [OSTI]

    Sargent, T.W. III; Shulgin, A.T.; Mathis, C.A.

    1987-03-03

    A method for detecting the blood flow in animals, particularly in the brain, is provided wherein a detectable amount of a novel radioactive compound of the formula 1 is administered to one animal: as given in figure in patent wherein R[sub 1] and R[sub 2] are independently alkyl of 1 to 6 carbon atoms or benzyl; R[sub 3] is alkyl of 1 to 6 carbon atoms, benzyl, cyclopropylalkyl of 4 to 6 carbon atoms, or cyanoalkyl of 2 to 6 carbon atoms; R[sub 4] is hydrogen, benzyl or alkyl of 1 to 6 carbon atoms; with the provisos that R[sub 4] is not isopropyl and when R[sub 4] is methyl, R[sub 3] is not benzyl; and X is a radioactive halogen. 2 figs.

  2. Rapid brain scanning radiopharmaceutical

    DOE Patents [OSTI]

    Sargent, III, Thornton W. (Berkeley, CA); Shulgin, Alexander T. (Lafayette, CA); Mathis, Chester A. (Oakland, CA)

    1987-01-01

    A method for detecting the blood flow in animals, particularly in the brain, is provided wherein a detectable amount of a novel radioactive compound of the formula I is administered to one animal: ##STR1## wherein R.sub.1 and R.sub.2 are independently alkyl of 1 to 6 carbon atoms or benzyl; R.sub.3 is alkyl of 1 to 6 carbon atoms, benzyl, cyclopropylalkyl of 4 to 6 carbon atoms, or cyanoalkyl of 2 to 6 carbon atoms; R.sub.4 is hydrogen, benzyl or alkyl of 1 to 6 carbon atoms; with the provisos that R.sub.4 is not isopropyl and when R.sub.4 is methyl, R.sub.3 is not benzyl; and X is a radioactive halogen.

  3. Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Performance/Efficiency Measure with Applications to a Variety of Network Systems · Transportation Network Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation with transportation as the unifying application. #12;Subway Network Railroad Network Iridium Satellite Constellation

  4. THERMOACOUSTIC TOMOGRAPHY ARISING IN BRAIN IMAGING ...

    E-Print Network [OSTI]

    2011-02-21

    THERMOACOUSTIC TOMOGRAPHY ARISING IN BRAIN IMAGING. PLAMEN STEFANOV AND GUNTHER UHLMANN. ABSTRACT. We study the mathematical ...

  5. Whole-Brain Thinking in Systems Architecting

    E-Print Network [OSTI]

    Udwadia, Firdaus E.

    Whole-Brain Thinking in Systems Architecting Tony Di Carlo,1, * Behrokh Khoshnevis,2 and Firdaus, University of Southern California, Los Angeles, CA 90089 WHOLE-BRAIN THINKING IN SYSTEMS ARCHITECTING paper explores the role of whole-brain thinking in the context of systems architecting. Brain research

  6. Brain Surface Conformal Mapping and Brain VolumetricBrain Surface Conformal Mapping and Brain Volumetric Harmonic Map withHarmonic Map with VariationalVariational MethodsMethods

    E-Print Network [OSTI]

    Brain Surface Conformal Mapping and Brain VolumetricBrain Surface Conformal Mapping and Brain Volumetric Harmonic Map withHarmonic Map with VariationalVariational MethodsMethods YalinYalin WangWang11 to the cortical surface matching problem. We further extended the algorithm to find a 3D volumetric harmonic map

  7. Macroscopic description for networks of spiking neurons

    E-Print Network [OSTI]

    Ernest Montbrió; Diego Pazó; Alex Roxin

    2015-06-22

    A major goal of neuroscience, statistical physics and nonlinear dynamics is to understand how brain function arises from the collective dynamics of networks of spiking neurons. This challenge has been chiefly addressed through large-scale numerical simulations. Alternatively, researchers have formulated mean-field theories to gain insight into macroscopic states of large neuronal networks in terms of the collective firing activity of the neurons, or the firing rate. However, these theories have not succeeded in establishing an exact correspondence between the firing rate of the network and the underlying microscopic state of the spiking neurons. This has largely constrained the range of applicability of such macroscopic descriptions, particularly when trying to describe neuronal synchronization. Here we provide the derivation of a set of exact macroscopic equations for a network of spiking neurons. Our results reveal that the spike generation mechanism of individual neurons introduces an effective coupling between two biophysically relevant macroscopic quantities, the firing rate and the mean membrane potential, which together govern the evolution of the neuronal network. The resulting equations exactly describe all possible macroscopic dynamical states of the network, including states of synchronous spiking activity. Finally we show that the firing rate description is related, via a conformal map, with a low-dimensional description in terms of the Kuramoto order parameter, called Ott-Antonsen theory. We anticipate our results will be an important tool in investigating how large networks of spiking neurons self-organize in time to process and encode information in the brain.

  8. A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information

    E-Print Network [OSTI]

    Indiana University

    A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information Miguel Pais-Vieira1 Safra International Institute for Neuroscience of Natal (ELS-IINN), RN 59066-060, Natal, Brazil. A brain-to-brain the brains of two rats. In this BTBI, an ``encoder'' rat performed sensorimotor tasks that required

  9. Behavioral and Brain Sciences (forthcoming) Prcis of The Cognitive-Emotional Brain

    E-Print Network [OSTI]

    Pessoa, Luiz

    Behavioral and Brain Sciences (forthcoming) Précis of The Cognitive-Emotional Brain Luiz Pessoa that a specific brain circuit constitutes the emotional brain and its corollary, that cognition resides elsewhere, has shaped thinking about emotion and the brain for many years. Recent behavioral, neuropsychological

  10. Methods for functional brain imaging

    E-Print Network [OSTI]

    Witzel, Thomas, Ph. D. Massachusetts Institute of Technology

    2011-01-01

    Magnetic resonance imaging (MRI) has demonstrated the potential for non-invasive mapping of structure and function (fMRI) in the human brain. In this thesis, we propose a series of methodological developments towards ...

  11. Modeling of activation data in the BrainMap TM database: Detection of outliers

    E-Print Network [OSTI]

    Nielsen, Finn Ã?rup

    Modeling of activation data in the BrainMap TM database: Detection of outliers Finn š Arup Nielsen­Analysis, Data Analysis, Estimation Techniques, Probabilistic Models, Neuroanatomy, Databases, Neural Networks and Lars Kai Hansen Informatics and Mathematical Modelling Technical University of Denmark DK­2800 Lyngby

  12. Proceedings of the DAE Solid State Physics Symposium (2007) Physics of Complex Networks

    E-Print Network [OSTI]

    Sinha, Sitabhra

    2007-01-01

    , and food webs which link via trophic relations large numbers of inter-dependent species. While, including the network of co-active functional brain areas [5] and the Indian railway system [6]. Fig 1

  13. Sensor networks for social networks

    E-Print Network [OSTI]

    Farry, Michael P. (Michael Patrick)

    2006-01-01

    This thesis outlines the development of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. ...

  14. Corps Improvement 

    E-Print Network [OSTI]

    Wythe, Kathy

    2007-01-01

    to mitigate environmental impacts of the proj- ect. The Corps? Fort Worth District and the City of Dallas are using an innovative approach to return floodplain value to the Trinity River, while improving flood damage reduction. Big Fossil Creek Watershed... flood damage; improve navigation channels and harbors; protect wetlands; and preserve, safeguard and enhance the environment. The Corps has been involved in the Trinity River Basin for more than 50 years, but the impetus for the current projects...

  15. On the role of feedback in network coding

    E-Print Network [OSTI]

    Sundararajan, Jay Kumar, 1982-

    2009-01-01

    Network coding has emerged as a new approach to operating communication networks, with a promise of improved efficiency in the form of higher throughput, especially in lossy conditions. In order to realize this promise in ...

  16. Secure and Wireless Improving TCP performance over wireless links

    E-Print Network [OSTI]

    Kurose, Jim

    Secure and Wireless Networks Improving TCP performance over wireless links Secure leader election in wireless networks Additional Projects In ter-Ara Rekey ing Al gorithms for mobile networks http analysisofhierarchical, s ubset differencerekeying (joint with Nortel) - hidden Markov model characterization of wireless

  17. Quantitative Brain Electrical Activity in the Initial Screening of Mild Traumatic Brain Injuries

    E-Print Network [OSTI]

    O'Neil, Brian; Prichep, Leslie S.; Naunheim, Roseanne; Chabot, Robert

    2012-01-01

    J, et al. Use of Brain Electrical 32. Slobounov S, Cao C,device measuring brain electrical activity can be used inet al Quantitative Brain Electrical Activity in Screening of

  18. Brain Imaging with Positron Emission Tomography: Quantification and Biomedical Applications in Alzheimer's Disease and Brain Tumors

    E-Print Network [OSTI]

    Wardak, Mirwais

    2013-01-01

    AB, Elson LM. The human brain coloring book. 1st ed. New21. Toga AW, Mazziotta JC. Brain mapping : the systems. SanSR, Phelps ME. Imaging Brain Function with Positron Emission

  19. Devastating Brain Injuries: Assessment and Management, Part I: Overview of Brain Death

    E-Print Network [OSTI]

    Dixon, Tara D; Malinoski, Darren

    2009-01-01

    349:667-674. 11. Capron AM. Brain death – well settled yetWijdicks EFM. The diagnosis of brain death. NEJM. 2001; 344:AA. Organ preservation in a brain dead patient: information

  20. How brain images reveal cognition : an ethnographic study of meaning-making in brain mapping practice

    E-Print Network [OSTI]

    Ala?, Morana

    2006-01-01

    cortical surface’, Human Brain Mapping, Volume 8, pp. 272-attention affects brain activity in Proc.Natl.Acad.Sci, USA,Atlas of the Human Brain, Stuttgart: Thieme. TOOTELL,

  1. Tamanoir : High Performance Active NetworkingTamanoir : High Performance Active Networking Jean-Patrick Gelas, Laurent Lefvre, Saad El Hadri

    E-Print Network [OSTI]

    Lefèvre, Laurent

    .linuxvirtualserver.org) · Improve scalability and availability · 3 approaches: NAT, Direct Routing (MAC), Tunneling (IPIP or any network equipments (like gateway or proxy) within the network can perform computations on user

  2. The genetics and epigenetics of sex differences in the brain.

    E-Print Network [OSTI]

    Ghahramani, Negar

    2012-01-01

    modifications during brain sexual differentiation. (Arnold, and E. Vilain. (2012). Brain and behavior phenotypesThe genetics of sex differences in brain and behavior. Front

  3. Microglial and neuronal abnormalities in the autistic brain

    E-Print Network [OSTI]

    Morgan, John T.

    2009-01-01

    G. , Dager, S. R. , 2002. Brain sructural abnormalities inwith autistic behavior. Brain Behav Immun 7, 97- Sparks, B.G. , Dager, S. R. , 2002. Brain sructural abnormalities in

  4. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  5. Spectral signatures of reorganised brain networks in disorders of consciousness

    E-Print Network [OSTI]

    Chennu, Srivas; Finoia, Paola; Kamau, Evelyn; Allanson, Judith; Williams, Guy B.; Monti, Martin M.; Noreika, Valdas; Arnatkeviciute, Aurina; Canales-Johnson, Andrés; Olivares, Francisco; Cabezas-Soto, Daniela; Menon, David K.; Pickard, John D.; Owen, Adrian M.; Bekinschtein, Tristan A.

    2014-10-16

    and gamma frequency bands, due to elevated levels of electromyographic (EMG) noise introduced by involuntary muscle movements, especially in MCS patients. Hence, to avoid the consequent potential confounds in compar- isons of activity in these bands between...

  6. Phoebus: Network Middleware for Next-Generation Network Computing

    SciTech Connect (OSTI)

    Martin Swany

    2012-06-16

    The Phoebus project investigated algorithms, protocols, and middleware infrastructure to improve end-to-end performance in high speed, dynamic networks. The Phoebus system essentially serves as an adaptation point for networks with disparate capabilities or provisioning. This adaptation can take a variety of forms including acting as a provisioning agent across multiple signaling domains, providing transport protocol adaptation points, and mapping between distributed resource reservation paradigms and the optical network control plane. We have successfully developed the system and demonstrated benefits. The Phoebus system was deployed in Internet2 and in ESnet, as well as in GEANT2, RNP in Brazil and over international links to Korea and Japan. Phoebus is a system that implements a new protocol and associated forwarding infrastructure for improving throughput in high-speed dynamic networks. It was developed to serve the needs of large DOE applications on high-performance networks. The idea underlying the Phoebus model is to embed Phoebus Gateways (PGs) in the network as on-ramps to dynamic circuit networks. The gateways act as protocol translators that allow legacy applications to use dedicated paths with high performance.

  7. Cognitive Radio Networks as Sensor Networks

    E-Print Network [OSTI]

    Bandari, Dorna; Yang, Seung R.; Zhao, Yue; Pottie, Gregory

    2007-01-01

    assuming the cognitive radios know their own coordinates.Networked Sensing Cognitive Radio Networks As SensorIntroduction: Cognitive Radio (CR) Networks The Need For

  8. BrainMap `95 workshop

    SciTech Connect (OSTI)

    1995-12-31

    The fourth annual BrainMap workshop was held at La Mansion del Rio Hotel in San Antonio December 3--4, 1995. The conference title was ``Human Brain Mapping and Modeling.`` The meeting was attended by 137 registered participants and 30 observers from 82 institutions representing 12 countries. The meeting focused on the technical issues associated with brain mapping and modeling. A total of 23 papers were presented covering the following topics: spatial normalization and registration; functional image analysis; metanalysis and modeling; and new horizons in biological databases. The full program with abstracts was available on the Research Imaging Center`s web site. A book will be published by John Wiley and Sons prior to the end of 1998.

  9. Imaging, Characterizing, and Modeling of Fracture Networks and...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Reservoirs Imaging, Characterizing, and Modeling of Fracture Networks and Fluid Flow in EGS Reservoirs Project objectives: Improve image resolution for microseismicimaging and...

  10. Brain&oscillations&mediate&memory&suppression&1! Running&Title:&BRAIN&OSCILLATIONS&MEDIATE&MEMORY&SUPPRESSION&

    E-Print Network [OSTI]

    Schubart, Christoph

    Brain&oscillations&mediate&memory&suppression&1! & ! Running&Title:&BRAIN&OSCILLATIONS&MEDIATE&MEMORY&SUPPRESSION& & & Brain&oscillations&mediate&successful&suppression&of&unwanted&memories& Gerd&T.&Waldhauser1,&Karl1Heinz.de& Phone:&+49(0)753118815707& Fax:&+49(0)753118814829& #12;Brain&oscillations&mediate&memory&suppression&2

  11. Words in the brain: lexical determinants of word-induced brain activity

    E-Print Network [OSTI]

    Coulson, Seana

    Words in the brain: lexical determinants of word-induced brain activity Lee Osterhout*, Mark Allen Abstract Many studies have shown that open- and closed-class words elicit different patterns of brain. Introduction Is the brain response to words determined primarily by their linguistic functions

  12. Mitigation of Malicious Attacks on Networks

    E-Print Network [OSTI]

    Schneider, Christian M; Andrade, Jose S; Havlin, Shlomo; Herrmann, Hans J; 10.1073/pnas.1009440108

    2011-01-01

    Terrorist attacks on transportation networks have traumatized modern societies. With a single blast, it has become possible to paralyze airline traffic, electric power supply, ground transportation or Internet communication. How and at which cost can one restructure the network such that it will become more robust against a malicious attack? We introduce a unique measure for robustness and use it to devise a method to mitigate economically and efficiently this risk. We demonstrate its efficiency on the European electricity system and on the Internet as well as on complex networks models. We show that with small changes in the network structure (low cost) the robustness of diverse networks can be improved dramatically while their functionality remains unchanged. Our results are useful not only for improving significantly with low cost the robustness of existing infrastructures but also for designing economically robust network systems.

  13. Brain Evolution Relevant to P. Thomas Schoenemann

    E-Print Network [OSTI]

    Schoenemann, P. Thomas

    Brain Evolution Relevant to Language P. Thomas Schoenemann James Madison University 1. Introduction The evolution of language obviously presupposes a brain that made language possible. At the same time, given of the human brain must have been language. Given that language is at least as much a cultural

  14. Brain dynamics promotes function Carlos Lourenco

    E-Print Network [OSTI]

    Lisboa, Universidade Técnica de

    Brain dynamics promotes function Carlos Louren¸co 1 Faculty of Sciences of the University of Lisbon, 1049-001 Lisboa - Portugal Abstract. Dynamical structure in the brain promotes biological func- tion. Computational scientists have new opportunities to receive 'algorithmic' inspiration from brain processes

  15. Brain Surface Conformal Parameterization with Algebraic Functions

    E-Print Network [OSTI]

    Wang, Yalin

    Brain Surface Conformal Parameterization with Algebraic Functions Yalin Wang1,2 , Xianfeng Gu3 a brain surface to a multi-hole disk. The re- sulting parameterizations do not have any singularities of anatomical surfaces in MRI scans of the brain, in- cluding the hippocampi and the cerebral cortices

  16. Understanding complexity in the human brain

    E-Print Network [OSTI]

    Gazzaniga, Michael

    Understanding complexity in the human brain Danielle S. Bassett1 and Michael S. Gazzaniga2 1 the ultimate aim of neuroscientific enquiry is to gain an understanding of the brain and how its work- ings of mind­brain mechanisms if the cumulative findings from these neu- roscientific studies are coupled

  17. Brain Imaging Findings in Neuropathic Pain

    E-Print Network [OSTI]

    Apkarian, A. Vania

    Brain Imaging Findings in Neuropathic Pain Paul Y. Geha, MD and A. Vania Apkarian, PhD* Address (posther- petic neuralgia), then the spinal cord (postspinal cord injury pain), to the brain itself mechanisms; hence, they assume implicitly or explicitly that the rest of the brain passively responds

  18. Brain Organization and Computation Andreas Schierwagen

    E-Print Network [OSTI]

    Schierwagen, Andreas

    Brain Organization and Computation Andreas Schierwagen Institute for Computer Science, Intelligent://www.informatik.uni-leipzig.de/~schierwa Abstract. Theories of how the brain computes can be differentiated in three general conceptions systems approach. The discussion of key features of brain organization (i.e. structure with function

  19. 1. Brain vs Computer Brian Whitworth

    E-Print Network [OSTI]

    Whitworth, Brian

    7/12/2011 1 1. Brain vs Computer © Brian Whitworth An Overview http://brianwhitworth.com 2 Aim Compare how computers process information vs how the brain process the senses? Define the main differences://brianwhitworth.com 3 Human vs computer centered · The brain has changed little in last 3 million years ­ Under

  20. PUZZLING SYMPTOMS: EATING DISORDERS AND THE BRAIN

    E-Print Network [OSTI]

    Squire, Larry R.

    PUZZLING SYMPTOMS: EATING DISORDERS AND THE BRAIN A FAMILY GUIDE TO THE NEUROBIOLOGY OF EATING TO DO WITH THE BRAIN? Although people with eating disorders struggle to eat normally, this is only now believe that part of the problem has to do with how our brains process information about

  1. VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1

    E-Print Network [OSTI]

    Ferguson, Thomas S.

    VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1 , Xianfeng Gu2 , Tony F. Chan1 , Paul M. Thompson3 general investigation of 3D volumetric brain har- monic mapping. The motivations for 3D volumetric brain volumetric harmonic map- ping algorithm. The algorithm can work with manifolds with genus zero and non genus

  2. Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

    E-Print Network [OSTI]

    Donges, Jonathan F; Beronov, Boyan; Wiedermann, Marc; Runge, Jakob; Feng, Qing Yi; Tupikina, Liubov; Stolbova, Veronika; Donner, Reik V; Marwan, Norbert; Dijkstra, Henk A; Kurths, Jürgen

    2015-01-01

    We introduce the pyunicorn (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of data analysis and modeling from complex network theory and nonlinear time series analysis. pyunicorn is a fully object-oriented and easily parallelizable package written in the language Python. It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks of interacting networks, node-weighted statistics or network surrogates. Additionally, pyunicorn provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence qua...

  3. CAMPAIGN FOR SALK DYNAMIC BRAIN

    E-Print Network [OSTI]

    Bellugi, Ursula

    ,000 epigenetic switches control daily liver cycles 26 Aggressive brain tumors can originate from a range Parting shots 21 Two more Salk faculty elected as AAAS Fellows 22 Creative projects receive Innovation Grant Awards Tom Albright named president of Academy of Neuroscience for Architecture 23 Salk

  4. Children's Conceptions of the Brain 

    E-Print Network [OSTI]

    McColl, Judith

    2012-03-14

    The present study explored children’s developing conceptions of the brain in order to enhance previous research and to contribute to debates regarding the nature of children’s naïve biological theories. 56 participants aged 5, 7 and 9-years-old were...

  5. Brain science, addiction and drugs

    E-Print Network [OSTI]

    Wiesner, Karoline

    Designing your future Page 7 Theme: Nanoscience and Quantum Information Exchanging keys in the Canaries Page:searchUniversity of Bristol · Research Review · Issue 10 · October 2005 research themes issue #12;Research themes 2005 Establishedresearchthemes Theme: Neuroscience Brain science, addiction and drugs Other established research themes

  6. Heritability of Structural Brain Connec3vity Measures in 188 Twins Emily Dennis1, Neda Jahanshad1, Arthur Toga1, Jesse Brown2, Jeff Rudie3, Susan Bookheimer2, Mirella DapreKo3, Kori

    E-Print Network [OSTI]

    Thompson, Paul

    with greater CPL. Small-worldness (SW) represents the balance between network differen3a3on, MCC, EGLOB, SW, and MOD. These were calculated for whole brain and leh

  7. Cicada: Predictive Guarantees for Cloud Network Bandwidth

    E-Print Network [OSTI]

    LaCurts, Katrina

    2014-03-24

    In cloud-computing systems, network-bandwidth guarantees have been shown to improve predictability of application performance and cost. Most previous work on cloud-bandwidth guarantees has assumed that cloud tenants know ...

  8. Application of network coding for VLSI routing 

    E-Print Network [OSTI]

    Nemade, Nikhil Pandit

    2009-05-15

    This thesis studies the applications of the network coding technique for intercon- nect optimization and improving the routability of Very-large-scale integration (VLSI) designs. The goal of the routing process is to connect ...

  9. DYNAMICS OF FUNCTIONAL CONNECTIVITY WITHIN CORTICAL MOTOR NETWORK DURING MOTOR LEARNING IN STROKE - CORRELATIONS WITH "TRUE" MOTOR RECOVERY

    E-Print Network [OSTI]

    BANI-AHMED, ALI

    2013-08-31

    investigate the changes in cortical motor function at two levels, regional (micro-circuitry, regional activation) and network (macro-circuitry, functional connectivity), following an arm-focused motor training in chronic stroke survivors and how these brain...

  10. Cooperative Diversity in Interference Limited Wireless Networks

    E-Print Network [OSTI]

    Liang, Ben

    -rate and energy efficiency, based on network size, relay availability, node decoding threshold, and destination environments, using the resources of other peer nodes can help improve the network performance. In this context channel first introduced by van der Meulen leads to a communica- tion scheme where instead of point

  11. An Investigation of Artificial Neural Network Architectures in Artificial Life Implementations

    E-Print Network [OSTI]

    Güngör, Tunga

    . They use vision, smell and sound as input to their artificial neural network brains, which utilize HebbianAn Investigation of Artificial Neural Network Architectures in Artificial Life Implementations¨C2D!EF4¦GH¤G¦H¦I!46PRQSUTVXW Abstract. In this paper, an artificially created world is defined

  12. Brain Research and DLM: An overview 

    E-Print Network [OSTI]

    Irby, Beverly J.; Lara-Alecio, Rafael

    2010-10-22

    stream_source_info Brain Research and DLM(2005).pdf.txt stream_content_type text/plain stream_size 16021 Content-Encoding ISO-8859-1 stream_name Brain Research and DLM(2005).pdf.txt Content-Type text/plain; charset=ISO-8859...-1 Brain Research and DLM: An Overview Beverly J. Irby, Ed.D. Professor and Chair Sam Houston State University Rafael Lara-Alecio, Ph.D. Professor and Director Texas A&M University November 4, 2005 Basic Brain Information ? The brain research...

  13. An Extended Network Coding Opportunity Discovery Scheme in Wireless Networks

    E-Print Network [OSTI]

    Zhao, Yunlong; Iwai, Masayuki; Sezaki, Kaoru; Tobe, Yoshito; 10.5121/ijcnc.2012.4106

    2012-01-01

    Network coding is known as a promising approach to improve wireless network performance. How to discover the coding opportunity in relay nodes is really important for it. There are more coding chances, there are more times it can improve network throughput by network coding operation. In this paper, an extended network coding opportunity discovery scheme (ExCODE) is proposed, which is realized by appending the current node ID and all its 1-hop neighbors' IDs to the packet. ExCODE enables the next hop relay node to know which nodes else have already overheard the packet, so it can discover the potential coding opportunities as much as possible. ExCODE expands the region of discovering coding chance to n-hops, and have more opportunities to execute network coding operation in each relay node. At last, we implement ExCODE over the AODV protocol, and efficiency of the proposed mechanism is demonstrated with NS2 simulations, compared to the existing coding opportunity discovery scheme.

  14. Friendship Prediction in Composite Social Networks

    E-Print Network [OSTI]

    Zhong, Erheng; Fan, Wei; Liu, Nathan Nan; Yang, Qiang

    2014-01-01

    Friendship prediction is an important task in social network analysis (SNA). It can help users identify friends and improve their level of activity. Most previous approaches predict users' friendship based on their historical records, such as their existing friendship, social interactions, etc. However, in reality, most users have limited friends in a single network, and the data can be very sparse. The sparsity problem causes existing methods to overfit the rare observations and suffer from serious performance degradation. This is particularly true when a new social network just starts to form. We observe that many of today's social networks are composite in nature, where people are often engaged in multiple networks. In addition, users' friendships are always correlated, for example, they are both friends on Facebook and Google+. Thus, by considering those overlapping users as the bridge, the friendship knowledge in other networks can help predict their friendships in the current network. This can be achiev...

  15. A versatile clearing agent for multi-modal brain imaging

    E-Print Network [OSTI]

    Costantini, Irene; Di Giovanna, Antonino Paolo; Mascaro, Anna Letizia Allegra; Silvestri, Ludovico; Müllenbroich, Marie Caroline; Onofri, Leonardo; Conti, Valerio; Vanzi, Francesco; Sacconi, Leonardo; Guerrini, Renzo; Markram, Henry; Iannello, Giulio; Pavone, Francesco Saverio

    2015-01-01

    Extensive mapping of neuronal connections in the central nervous system requires high-throughput um-scale imaging of large volumes. In recent years, different approaches have been developed to overcome the limitations due to tissue light scattering. These methods are generally developed to improve the performance of a specific imaging modality, thus limiting comprehensive neuroanatomical exploration by multimodal optical techniques. Here, we introduce a versatile brain clearing agent (2,2'-thiodiethanol; TDE) suitable for various applications and imaging techniques. TDE is cost-efficient, water-soluble and low-viscous and, more importantly, it preserves fluorescence, is compatible with immunostaining and does not cause deformations at sub-cellular level. We demonstrate the effectiveness of this method in different applications: in fixed samples by imaging a whole mouse hippocampus with serial two-photon tomography; in combination with CLARITY by reconstructing an entire mouse brain with light sheet microscopy...

  16. Improved aethalometer

    DOE Patents [OSTI]

    Hansen, A.D.

    1988-01-25

    An improved aethalometer having a single light source and a single light detector and two light paths from the light source to the light detector. A quartz fiber filter is inserted in the device, the filter having a collection area in one light path and a reference area in the other light path. A gas flow path through the aethalometer housing allows ambient air to flow through the collection area of the filter so that aerosol particles can be collected on the filter. A rotating disk with an opening therethrough allows light for the light source to pass alternately through the two light paths. The voltage output of the detector is applied to a VCO and the VCO pulses for light transmission separately through the two light paths, are counted and compared to determine the absorption coefficient of the collected aerosol particles. 5 figs.

  17. ECN Marking for Congestion Control in Multihop Wireless Networks

    E-Print Network [OSTI]

    Siris, Vasilios A.

    ECN Marking for Congestion Control in Multihop Wireless Networks Vasilios A. Siris and Despina an approach to increase TCP's fair- ness in multihop wireless networks, using ECN as a congestion signalling demonstrate that our approach can improve TCP's fairness in a multihop wireless network compared to drop tail

  18. Safety Criteria and Safety Lifecycle for Artificial Neural Networks

    E-Print Network [OSTI]

    Kelly, Tim

    Safety Criteria and Safety Lifecycle for Artificial Neural Networks Zeshan Kurd, Tim Kelly and Jim performance based techniques that aim to improve the safety of neural networks for safety critical for safety assurance. As a result, neural networks are typically restricted to advisory roles in safety

  19. Safety Lifecycle for Developing Safety Critical Artificial Neural Networks

    E-Print Network [OSTI]

    Kelly, Tim

    Safety Lifecycle for Developing Safety Critical Artificial Neural Networks Zeshan Kurd, Tim Kelly.kelly}@cs.york.ac.uk Abstract. Artificial neural networks are employed in many areas of industry such as medicine and defence. There are many techniques that aim to improve the performance of neural networks for safety-critical systems

  20. Network Coding for Joint Storage and Transmission with Minimum Cost

    E-Print Network [OSTI]

    Jiang, Anxiao "Andrew"

    transmission and data storage in networks. Its power comes from the improved flexibility that codeword symbolsNetwork Coding for Joint Storage and Transmission with Minimum Cost Anxiao (Andrew) Jiang@cs.tamu.edu. Abstract-- Network coding provides elegant solutions to many data transmission problems. The usage

  1. Time-Critical Data Delivery in Wireless Sensor Networks

    E-Print Network [OSTI]

    Roedig, Utz

    early, the network may spend these resources to improve transmission reliability or energy consumption to conserve energy and not to support timely data transmission. This paper shows how WSNs can be dimensioned and control. A network wide transmission schedule is determined before network #12;deployment, ensuring

  2. Percolation in Transparent and Conducting Carbon Nanotube Networks

    E-Print Network [OSTI]

    Gruner, George

    and chemical sensors9 , field emission devices10,11 , and transparent conductive coatings7 . We12 , and another. Transmission measurements also indicate the usefulness of nanotube network films as a transparent, conductive coating. Avenues for improvement of the network transparency are discussed. KEYWORDS Nanotubes, Networks

  3. Reorganization of functionally connected brain subnetworks in high-functioning autism

    E-Print Network [OSTI]

    Glerean, Enrico; Salmi, Juha; Kujala, Rainer; Lahnakoski, Juha; Roine, Ulrika; Nummenmaa, Lauri; Leppämäki, Sami; Wendt, Taina Nieminen-von; Tani, Pekka; Saramäki, Jari; Sams, Mikko; Jääskeläinen, Iiro P

    2015-01-01

    Background: Previous functional connectivity studies have found both hypo- and hyper-connectivity in brains of individuals having autism spectrum disorder (ASD). Here we studied abnormalities in functional brain subnetworks in high-functioning individuals with ASD during free viewing of a movie containing social cues and interactions. Methods: Thirteen subjects with ASD and 13 matched-pair controls watched a 68 minutes movie during functional magnetic resonance imaging. For each subject, we computed Pearson`s correlation between haemodynamic time-courses of each pair of 6-mm isotropic voxels. From the whole-brain functional networks, we derived individual and group-level subnetworks using graph theory. Scaled inclusivity was then calculated between all subject pairs to estimate intersubject similarity of connectivity structure of each subnetwork. Additional 27 individuals with ASD from the ABIDE resting-state database were included to test the reproducibility of the results. Results: Between-group differences...

  4. Synchrotron radiation imaging is a powerful tool to image brain microvasculature

    SciTech Connect (OSTI)

    Zhang, Mengqi; Sun, Danni; Xie, Yuanyuan; Xia, Jian; Long, Hongyu; Hu, Kai; Xiao, Bo; Peng, Guanyun

    2014-03-15

    Synchrotron radiation (SR) imaging is a powerful experimental tool for micrometer-scale imaging of microcirculation in vivo. This review discusses recent methodological advances and findings from morphological investigations of cerebral vascular networks during several neurovascular pathologies. In particular, it describes recent developments in SR microangiography for real-time assessment of the brain microvasculature under various pathological conditions in small animal models. It also covers studies that employed SR-based phase-contrast imaging to acquire 3D brain images and provide detailed maps of brain vasculature. In addition, a brief introduction of SR technology and current limitations of SR sources are described in this review. In the near future, SR imaging could transform into a common and informative imaging modality to resolve subtle details of cerebrovascular function.

  5. Energy Efficient Digital Networks

    E-Print Network [OSTI]

    Lanzisera, Steven

    2014-01-01

    equipment, market transformation for digital networks iimarket transformation of energy efficient digital networks.transformation activities. Table 7: Transforming the Network for Digital

  6. Groundwater Monitoring Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Groundwater Monitoring Network Groundwater Monitoring Network The network includes 92 natural sources, 102 regional aquifer wells, 41 intermediate-depth wells and springs, and 67...

  7. Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy

    E-Print Network [OSTI]

    Boas, David

    Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution States Available online 11 September 2004 Near-infrared spectroscopy (NIRS) and diffuse optical imaging currently being made and issues to consider for improving optical image quality. These include the optimal

  8. Network Coding Strategies for Data Persistence in Static and Mobile Sensor Networks

    E-Print Network [OSTI]

    Rossi, Michele

    ­ 35131 Padova, Italy DoCoMo Euro-Labs, Landsberger Strasse 312 ­ 80687 Munich, Germany Abstract, and energy. Network coding [2] has proven to be a useful tool to improve the performance of such networks propose algorithms that require only a very limited increase of coding complexity and memory usage. Our

  9. Improving datacenter performance and robustness with multipath TCP Paper #273, 14 pages

    E-Print Network [OSTI]

    Wischik, Damon

    Improving datacenter performance and robustness with multipath TCP Paper #273, 14 pages ABSTRACT by MPTCP. Using MPTCP allows us to rethink datacenter networks, with a different mindset

  10. Brain Mapping Using Topology Graphs Obtained by Surface Segmentation

    E-Print Network [OSTI]

    Linsen, Lars

    Brain Mapping Using Topology Graphs Obtained by Surface Segmentation Fabien Vivodtzev1 , Lars@ucdavis.edu Summary. Brain mapping is a technique used to alleviate the tedious and time- consuming process of annotating brains by mapping existing annotations from brain atlases to individual brains. We introduce

  11. Brain Receptor Structures Key to Future Therapeutics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Brain Receptor Structures Key to Future Therapeutics Print With an aging population in America, it is more important than ever to discover ways to treat or prevent diseases...

  12. "Artificial" brains, electrical grids, and disease modeling:...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science discoveries unveiled "Artificial" brains, electrical grids, and disease modeling: Los Alamos science discoveries unveiled September 15 The event is an opportunity for...

  13. Spontaneous synchronization driven by energy transport in interconnected networks

    E-Print Network [OSTI]

    Vincenzo Nicosia; Per Sebastian Skardal; Vito Latora; Alex Arenas

    2015-02-26

    Understanding dynamical processes on networks is an important area of research in complex systems, with far reaching implications and applications in many real-world cases. Here we introduce and study a model of intertwined dynamics on interconnected networks, inspired by the human brain, which consists of bidirectionally coupled synchronization and energy transport processes. Remarkably, the proposed model allows the emergence of spontaneous switch-like synchronization transitions driven by the energy transport dynamics, which qualitatively mirror the transitions observed in human brain dynamics between resting-state and cognitive activity. We provide a steady-state analytical explanation for the observed behavior and show that the switch-like transition is robust over a wide range of model parameters and network topologies. Finally, we suggest that the complexity inherent in other interconnected dynamical processes might be responsible for various other emergent behaviors observed in natural systems.

  14. Phase transitions in Pareto optimal complex networks

    E-Print Network [OSTI]

    Seoane, Luís F

    2015-01-01

    The organization of interactions in complex systems can be described by networks connecting different units. These graphs are useful representations of the local and global complexity of the underlying systems. The origin of their topological structure can be diverse, resulting from different mechanisms including multiplicative processes and optimization. In spatial networks or in graphs where cost constraints are at work, as it occurs in a plethora of situations from power grids to the wiring of neurons in the brain, optimization plays an important part in shaping their organization. In this paper we study network designs resulting from a Pareto optimization process, where different simultaneous constraints are the targets of selection. We analyze three variations on a problem finding phase transitions of different kinds. Distinct phases are associated to different arrangements of the connections; but the need of drastic topological changes does not determine the presence, nor the nature of the phase transit...

  15. Exploring the motivational brain: effects of implicit power motivation on brain activation

    E-Print Network [OSTI]

    Schultheiss, Oliver C.

    Exploring the motivational brain: effects of implicit power motivation on brain activation the hypothesis that implicit power motivation (nPower), in interaction with power incentives, influences activation of brain systems mediating motivation. Twelve individuals low (lowest quartile) and 12 individuals

  16. Thesis Oscillations in the Brain -1-Marieke van Vugt Oscillations in the Brain

    E-Print Network [OSTI]

    van Vugt, Marieke

    Thesis Oscillations in the Brain -1- Marieke van Vugt Oscillations in the Brain: A Dynamic Memory Model Marieke van Vugt Honors thesis sciences University College Utrecht Spring semester 2002 #12;Thesis #12;Thesis Oscillations in the Brain -3- Marieke van Vugt Introduction In the field of neuroscience

  17. Focal Brain Lesions to Critical Locations Cause Widespread Disruption of the Modular Organization of the Brain

    E-Print Network [OSTI]

    Focal Brain Lesions to Critical Locations Cause Widespread Disruption of the Modular Organization of the Brain Caterina Gratton*, Emi M. Nomura*, Fernando Pérez, and Mark DEsposito Abstract Although it is generally assumed that brain damage pre- dominantly affects only the function of the damaged region, here we

  18. What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks

    E-Print Network [OSTI]

    Rossi, Ryan A; Gebremedhin, Assefaw H; Patwary, Md Mostofa Ali

    2012-01-01

    Exact maximum clique finders have progressed to the point where we can investigate cliques in million-node social and information networks, as well as find strongly connected components in temporal networks. We use one such finder to study a large collection of modern networks emanating from biological, social, and technological domains. We show inter-relationships between maximum cliques and several other common network properties, including network density, maximum core, and number of triangles. In temporal networks, we find that the largest temporal strong components have around 20-30% of the vertices of the entire network. These components represent groups of highly communicative individuals. In addition, we discuss and improve the performance and utility of the maximum clique finder itself.

  19. Forward and inverse metabolic engineering strategies for improving polyhydroxybyrate production

    E-Print Network [OSTI]

    Tyo, Keith E. J

    2008-01-01

    Forward metabolic engineering (FME) is a rational approach to cellular engineering, relying on an understanding of the entire metabolic network to direct perturbations for phenotype improvement. Conversely, inverse metabolic ...

  20. Improving the Battery Performance of Ad-Hoc Routing Protocols

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    Improving the Battery Performance of Ad-Hoc Routing Protocols Q. Qi and C. Chakrabarti Department-- In ad-hoc networks formed by battery powered nodes, the network lifetime can be significantly enhanced by incorporateing the battery properties in the routing protocol. In this paper, we propose such a routing mechanism

  1. Improving the Security of Cryptographic Protocol Standards

    E-Print Network [OSTI]

    Basin, David

    for their implementation. This generality is enabled by standards and technical documents such as Request for CommentsImproving the Security of Cryptographic Protocol Standards David Basin Cas Cremers Kunihiko Miyazaki Sasa Radomirovic Dai Watanabe May 1, 2014 Keywords: Standards, Network Protocols, Security

  2. Improved source localization with LIGO India

    E-Print Network [OSTI]

    Stephen Fairhurst

    2012-09-28

    A global network of advanced gravitational wave interferometric detectors is under construction. These detectors will offer an order of magnitude improvement in sensitivity over the initial detectors and will usher in the era of gravitational wave astronomy. In this paper, we evaluate the benefits of relocating one of the advanced LIGO detectors to India.

  3. System and method for networking electrochemical devices

    DOE Patents [OSTI]

    Williams, Mark C. (Morgantown, WV); Wimer, John G. (Morgantown, WV); Archer, David H. (Pittsburgh, PA)

    1995-01-01

    An improved electrochemically active system and method including a plurality of electrochemical devices, such as fuel cells and fluid separation devices, in which the anode and cathode process-fluid flow chambers are connected in fluid-flow arrangements so that the operating parameters of each of said plurality of electrochemical devices which are dependent upon process-fluid parameters may be individually controlled to provide improved operating efficiency. The improvements in operation include improved power efficiency and improved fuel utilization in fuel cell power generating systems and reduced power consumption in fluid separation devices and the like through interstage process fluid parameter control for series networked electrochemical devices. The improved networking method includes recycling of various process flows to enhance the overall control scheme.

  4. Intraoperative Brain Tumor Resection Cavity Characterization with Conoscopic Holography

    E-Print Network [OSTI]

    Intraoperative Brain Tumor Resection Cavity Characterization with Conoscopic Holography Amber L ABSTRACT Brain shift compromises the accuracy of neurosurgical image-guided interventions if not corrected approach to correcting for brain shift. Laser range scan, instrument swabbing, and conoscopic holography

  5. Genetic associations with brain cortical thickness in multiple sclerosis

    E-Print Network [OSTI]

    2015-01-01

    onset of multiple sclerosis. Brain 131, 808–817. Georgala,in multiple sclerosis. Brain 126, Shannon, P. , Markiel,Genes, Brain and Behavior (2015) 14: 217–227 doi:

  6. The role of Lysophosphatidic Acid in Traumatic Brain Injury outcomes

    E-Print Network [OSTI]

    McDonald, Whitney S.

    2015-01-01

    germinal niches in the adult brain. Neuron, 41(5), 683–6.damage after mild traumatic brain injury: a pilot study.for Fatigue After Traumatic Brain Injury. Journal of Head

  7. Ultrasound-Enhanced Drug Transport and Distribution in the Brain

    E-Print Network [OSTI]

    2010-01-01

    enhanced taxol delivery in brain tumor patients usingopening of the blood–brain barrier in rabbits. Radiology.and Distribution in the Brain Ying Liu, 1 Sumit Paliwal, 2

  8. Measurement of brain temperature using magnetic resonance spectroscopic imaging 

    E-Print Network [OSTI]

    Parikh, Jehill

    2013-07-06

    The study of brain temperature is important for a number of clinical conditions such as stroke, traumatic brain injury, schizophrenia and birth asphyxia (for neonates). A direct method to estimate brain temperature ...

  9. Brain Derived Vision Algorithm on High Performance Architectures

    E-Print Network [OSTI]

    2009-01-01

    Granger, R. : Novel brain-derived algorithms scale linearly37:345–369 17. Brain derived vision on IBM CELL: http://10.1007/s10766-009-0106-9 Brain Derived Vision Algorithm on

  10. VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1

    E-Print Network [OSTI]

    VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1 , Xianfeng Gu2 , Tony F. Chan1 , Paul M. Thompson3. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere and the second is a sphere- gest that 3D harmonic mapping of brain volumes to a solid sphere can provide a canonical coordinate

  11. McCausland Center For Brain Imaging

    E-Print Network [OSTI]

    Almor, Amit

    .mricro.com). he Siemens 3-Tesla Magnetic Resonance Imag- ing system at the McCausland Center for Brain Imaging the Palmetto Richland Memorial Hospi- tal. The Siemens 3-Tesla magnetic resonance imag- ing system is fitted brain remains one of the great scientific challenges of our generation. With approximately 100 billion

  12. Mobile Zigbee Sensor Networks

    E-Print Network [OSTI]

    Anantdeep, Er; Kaur, Er Balpreet

    2010-01-01

    OPNET Modeler accelerates network R&D and improves product quality through high-fidelity modeling and scalable simulation. It provides a virtual environment for designing protocols and devices, and for testing and demonstrating designs in realistic scenarios prior to production. OPNET Modeler supports 802.15.4 standard and has been used to make a model of PAN. Iterations have been performed by changing the Power of the transmitter and the throughput will has been analyzed to arrive at optimal values.An energy-efficient wireless home network based on IEEE 802.15.4, a novel architecture has been proposed. In this architecture, all nodes are classified into stationary nodes and mobile nodes according to the functionality of each node. Mobile nodes are usually battery-powered, and therefore need low-power operation. In order to improve power consumption of mobile nodes, effective handover sequence based on MAC broadcast and transmission power control based on LQ (link quality) are employed. Experimental resul...

  13. Use of neural networks to correlate enzymatic hydrolysis with biomass properties 

    E-Print Network [OSTI]

    Narayan, Ramasubramanian

    2001-01-01

    A neural network was used to correlate enzymatic digestibility with the following biomass properties: lignin content, acetyl content, and crystallinity index (CrI). The neural network model was not able to improve a ...

  14. Voltage Control of Distribution Networks with Distributed Generation using Reactive Power

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    , photovoltaics, and synchronous generators. I. INTRODUCTION Penetration of DG into distribution network in terms of voltage profile improvement, line-loss reduction, and environmental impact reductionVoltage Control of Distribution Networks with Distributed Generation using Reactive Power

  15. Design of Recycle/Reuse Networks with Thermal Effects and Variable Sources 

    E-Print Network [OSTI]

    Zavala Oseguera, Jose Guadalupe

    2010-10-12

    Recycle/reuse networks are commonly used in industrial facilities to conserve natural resources, reduce environmental impact, and improve process economics. The design of these networks is a challenging task because of ...

  16. Across-Peer Rate Allocation Algorithm in Peer-to-peer Networks 

    E-Print Network [OSTI]

    Su, Yang

    2013-05-30

    We introduce a new across-peer rate allocation algorithm with successive refinement to improve the video transmission performance in P2P networks, based on the combination of multiple description coding and network coding. Successive refinement...

  17. Energy Efficient Broadcast in Wireless Ad hoc Networks with Hitch-hiking

    E-Print Network [OSTI]

    Wu, Jie

    , weather forecasting, home appliance control, and protec- tion against bioterrorism. Ad hoc networks can of applications that can improve quality of life, and even save lives. Sensor networks find their appli- cation

  18. Drug transport in brain via the cerebrospinal fluid

    E-Print Network [OSTI]

    Pardridge, William M

    2011-01-01

    diffusion. Drug transport into cerebrospinal fluid vs. brainDrug transport from blood to interstitial fluid (ISF) isDrug transport in brain via the cerebrospinal fluid William

  19. Neural Networks Early Neural Network Modeling

    E-Print Network [OSTI]

    Yuste, Rafael

    Appendix E Neural Networks Early Neural Network Modeling Neurons Are Computational Devices A Neuron? This is the central question moti- vating the study of neural networks. In this appendix we provide a brief historical review of the field, intro- duce some key concepts, and discuss two influential models of neural networks

  20. Proceedings of the Neural Network Workshop for the Hanford Community

    SciTech Connect (OSTI)

    Keller, P.E.

    1994-01-01

    These proceedings were generated from a series of presentations made at the Neural Network Workshop for the Hanford Community. The abstracts and viewgraphs of each presentation are reproduced in these proceedings. This workshop was sponsored by the Computing and Information Sciences Department in the Molecular Science Research Center (MSRC) at the Pacific Northwest Laboratory (PNL). Artificial neural networks constitute a new information processing technology that is destined within the next few years, to provide the world with a vast array of new products. A major reason for this is that artificial neural networks are able to provide solutions to a wide variety of complex problems in a much simpler fashion than is possible using existing techniques. In recognition of these capabilities, many scientists and engineers are exploring the potential application of this new technology to their fields of study. An artificial neural network (ANN) can be a software simulation, an electronic circuit, optical system, or even an electro-chemical system designed to emulate some of the brain`s rudimentary structure as well as some of the learning processes that are believed to take place in the brain. For a very wide range of applications in science, engineering, and information technology, ANNs offer a complementary and potentially superior approach to that provided by conventional computing and conventional artificial intelligence. This is because, unlike conventional computers, which have to be programmed, ANNs essentially learn from experience and can be trained in a straightforward fashion to carry out tasks ranging from the simple to the highly complex.

  1. The role of whole brain radiation therapy in the management of newly diagnosed brain metastases: a systematic review and evidence-based clinical practice guideline

    E-Print Network [OSTI]

    2010-01-01

    MANUSCRIPT The role of whole brain radiation therapy in themanagement of newly diagnosed brain metastases: a systematicNeurosurgery, Iowa Spine and Brain Institute, Iowa City, IA,

  2. Treatment of Five or More Brain Metastases With Stereotactic Radiosurgery

    SciTech Connect (OSTI)

    Hunter, Grant K.; Suh, John H.; Reuther, Alwyn M.; Vogelbaum, Michael A.; Barnett, Gene H.; Angelov, Lilyana; Weil, Robert J.; Neyman, Gennady; Chao, Samuel T.

    2012-08-01

    Purpose: To examine the outcomes of patients with five or more brain metastases treated in a single session with stereotactic radiosurgery (SRS). Methods and Materials: Sixty-four patients with brain metastases treated with SRS to five or more lesions in a single session were reviewed. Primary disease type, number of lesions, Karnofsky performance score (KPS) at SRS, and status of primary and systemic disease at SRS were included. Patients were treated using dosing as defined by Radiation Therapy Oncology Group Protocol 90-05, with adjustments for critical structures. We defined prior whole-brain radiotherapy (WBRT) as WBRT completed >1 month before SRS and concurrent WBRT as WBRT completed within 1 month before or after SRS. Kaplan-Meier estimates and Cox proportional hazard regression were used to determine which patient and treatment factors predicted overall survival (OS). Results: The median OS after SRS was 7.5 months. The median KPS was 80 (range, 60-100). A KPS of {>=}80 significantly influenced OS (median OS, 4.8 months for KPS {<=}70 vs. 8.8 months for KPS {>=}80, p = 0.0097). The number of lesions treated did not significantly influence OS (median OS, 6.6 months for eight or fewer lesions vs. 9.9 months for more than eight, p = nonsignificant). Primary site histology did not significantly influence median OS. On multivariate Cox modeling, KPS and prior WBRT significantly predicted for OS. Whole-brain radiotherapy before SRS compared with concurrent WBRT significantly influenced survival, with a risk ratio of 0.423 (95% confidence interval 0.191-0.936, p = 0.0338). No significant differences were observed when no WBRT was compared with concurrent WBRT or when the no WBRT group was compared with prior WBRT. A KPS of {<=}70 predicted for poorer outcomes, with a risk ratio of 2.164 (95% confidence interval 1.157-4.049, p = 0.0157). Conclusions: Stereotactic radiosurgery to five or more brain lesions is an effective treatment option for patients with metastatic cancer, especially for patients previously treated with WBRT. A KPS of {>=}80 predicts for an improved outcome.

  3. Improvement of the Road Traffic Management by an Ant-Hierarchical Fuzzy System

    E-Print Network [OSTI]

    Casillas Barranquero, Jorge

    of the road network capacity [3], the improvement of the traffic safety, the minimization of the energyImprovement of the Road Traffic Management by an Ant-Hierarchical Fuzzy System Habib M. Kammoun@decsai.ugr.es Abstract--In view of dynamicity on road networks and the sharp increase of traffic jam states, the road

  4. Global synchronization of bursting neurons in clustered networks

    E-Print Network [OSTI]

    C. A. S. Batista; R. V. Nunes; A. M. Batista; R. L. Viana; S. R. Lopes; T. Pereira

    2010-12-20

    We investigate the collective dynamics of bursting neurons on clustered network. The clustered network is composed of subnetworks each presenting a small-world property, and in a given subnetwork each neuron has a probability to be connected to the other subnetworks. We give bounds for the critical coupling strength to obtain global burst synchronization in terms of the network structure, i.e., intracluster and intercluster probabilities connections. As the heterogeneity in the network is reduced the network global synchronization is improved. We show that the transitions to global synchrony may be abrupt or smooth depending on the intercluster probability.

  5. Innovation flow through social networks: Productivity distribution

    E-Print Network [OSTI]

    T. Di Matteo; T. Aste; M. Gallegati

    2004-06-19

    A detailed empirical analysis of the productivity of non financial firms across several countries and years shows that productivity follows a non-Gaussian distribution with power law tails. We demonstrate that these empirical findings can be interpreted as consequence of a mechanism of exchanges in a social network where firms improve their productivity by direct innovation or/and by imitation of other firm's technological and organizational solutions. The type of network-connectivity determines how fast and how efficiently information can diffuse and how quickly innovation will permeate or behaviors will be imitated. From a model for innovation flow through a complex network we obtain that the expectation values of the productivity level are proportional to the connectivity of the network of links between firms. The comparison with the empirical distributions reveals that such a network must be of a scale-free type with a power-law degree distribution in the large connectivity range.

  6. Network Monitoring in Multicast Networks Using Network Coding

    E-Print Network [OSTI]

    Ho, Tracey

    , and give some experimental results for one and two link failures in randomly generated networks. We also inference of possible locations of link failures or losses in a network. For distributed randomized network coding, we bound the probability of being able to distinguish among a given set of failure events

  7. The Network

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment TopMetathesisSediments and RelatedProject HomeNetwork

  8. NREL: News - New Incubator Network to Help Clean-Energy Entrepreneurs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Incubator Network. The program, funded by the Energy Department, aims to improve the performance of clean energy business incubators, connect critical industry and energy sector...

  9. Wavelets and functional magnetic resonance imaging of the human brain

    E-Print Network [OSTI]

    Breakspear, Michael

    Wavelets and functional magnetic resonance imaging of the human brain Ed Bullmore,a,* Jalal Fadili Breakspeare a Brain Mapping Unit and Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke of Psychiatry (King's College), London, UK e Brain Dynamics Centre (Westmead Hospital) and School of Physics

  10. Zo Rebecca Hunter Plasticity of the adult human brain

    E-Print Network [OSTI]

    Kallenrode, May-Britt

    Zoë Rebecca Hunter Plasticity of the adult human brain and motor recovery after stroke PICS © Institute of Cognitive Science #12;1 Bachelor's Thesis Plasticity of the adult human brain and motor brain and motor recovery after stroke 2 Abstract Stroke may cause a major destruction of brain tissue

  11. NEAR INFRARED IMAGING AND SPECTROSCOPY FOR BRAIN ACTIVITY

    E-Print Network [OSTI]

    Yazici, Birsen

    emphasis on the techology's potential in security and defense applications. Keywords: functional brain

  12. Improved Microseismicity Detection During Newberry EGS Stimulations

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Templeton, Dennise

    2013-11-01

    Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.

  13. Improved Microseismicity Detection During Newberry EGS Stimulations

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Templeton, Dennise

    2013-10-01

    Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.

  14. Improved Microseismicity Detection During Newberry EGS Stimulations

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Templeton, Dennise

    Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.

  15. Introduction to Network Analysis 1 Introduction to Network Analysis

    E-Print Network [OSTI]

    Safro, Ilya

    Networks from networksandservers.blogspot.com #12;Introduction to Network Analysis 7 Natural gas major

  16. Where Brain, Body and World Collide 

    E-Print Network [OSTI]

    Clark, Andy

    1998-01-01

    The brain fascinates because it is the biological organ of mindfulness itself. It is the inner engine that drives intelligent behavior. Such a depiction provides a worthy antidote to the once-popular vision of the mind as ...

  17. Brain Receptor Structures Key to Future Therapeutics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Tim Berners-Lee The man credited with inventing the World Wide Web surely understood the power of connectivity. A human brain incorporates a massive web of interconnected neurons...

  18. Brain perfusion imaging : performance and accuracy 

    E-Print Network [OSTI]

    Zhu, Fan

    2013-07-02

    Brain perfusion weighted images acquired using dynamic contrast studies have an important clinical role in acute stroke diagnosis and treatment decisions. The purpose of my PhD research is to develop novel methodologies ...

  19. Melatonin, oxidative stress and the aging brain

    E-Print Network [OSTI]

    Bondy, SC; Sharman, EH

    2010-01-01

    markers in healthy aging and Alzheimer’s disease.Neurobiol Aging. 8. Kim R, Emi M, Tanabe K. Role ofFree radicals and brain aging. Clin Geriatr Med. 2004;20:

  20. Multipinhole collimator with 20 apertures for a brain SPECT application

    SciTech Connect (OSTI)

    Lee, Tzu-Cheng; Ellin, Justin R.; Shrestha, Uttam; Seo, Youngho; Huang, Qiu; Gullberg, Grant T.

    2014-11-01

    Purpose: Several new technologies for single photon emission computed tomography (SPECT) instrumentation with parallel-hole collimation have been proposed to improve detector sensitivity and signal collection efficiency. Benefits from improved signal efficiency include shorter acquisition times and lower dose requirements. In this paper, the authors show a possibility of over an order of magnitude enhancement in photon detection efficiency (from 7.6 × 10{sup ?5} to 1.6 × 10{sup ?3}) for dopamine transporter (DaT) imaging of the striatum over the conventional SPECT parallel-hole collimators by use of custom-designed 20 multipinhole (20-MPH) collimators with apertures of 0.75 cm diameter. Methods: Quantifying specific binding ratio (SBR) of {sup 123}I-ioflupane or {sup 123}I-iometopane’s signal at the striatal region is a common brain imaging method to confirm the diagnosis of the Parkinson’s disease. The authors performed imaging of a striatal phantom filled with aqueous solution of I-123 and compared camera recovery ratios of SBR acquired between low-energy high-resolution (LEHR) parallel-hole collimators and 20-MPH collimators. Results: With only two-thirds of total acquisition time (20 min against 30 min), a comparable camera recovery ratio of SBR was achieved using 20-MPH collimators in comparison to that from the LEHR collimator study. Conclusions: Their systematic analyses showed that the 20-MPH collimator could be a promising alternative for the DaT SPECT imaging for brain over the traditional LEHR collimator, which could give both shorter scan time and improved diagnostic accuracy.

  1. Near to the Brain: Functional Near-Infrared Spectroscopy as a Lightweight Brain Imaging Technique for Visualization

    E-Print Network [OSTI]

    Cortes, Corinna

    Near to the Brain: Functional Near-Infrared Spectroscopy as a Lightweight Brain Imaging Technique conditions. The brain activity plot is the mean change in deoxygenated hemoglobin over 130 trials of each and position judgment tasks in pie charts and bar graphs. The brain activity plot is the mean chance

  2. Energy aware network coding in wireless networks

    E-Print Network [OSTI]

    Shi, Xiaomeng, Ph. D. Massachusetts Institute of Technology

    2012-01-01

    Energy is one of the most important considerations in designing reliable low-power wireless communication networks. We focus on the problem of energy aware network coding. In particular, we investigate practical energy ...

  3. Efficient network camouflaging in wireless networks 

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12

    (e.g. broadcast, node mobility) that traditional wired networks do not possess. This necessitates developing new techniques that take account of properties of wireless networks and are able to achieve a good balance between performance and security...

  4. High Performance Network Monitoring

    SciTech Connect (OSTI)

    Martinez, Jesse E

    2012-08-10

    Network Monitoring requires a substantial use of data and error analysis to overcome issues with clusters. Zenoss and Splunk help to monitor system log messages that are reporting issues about the clusters to monitoring services. Infiniband infrastructure on a number of clusters upgraded to ibmon2. ibmon2 requires different filters to report errors to system administrators. Focus for this summer is to: (1) Implement ibmon2 filters on monitoring boxes to report system errors to system administrators using Zenoss and Splunk; (2) Modify and improve scripts for monitoring and administrative usage; (3) Learn more about networks including services and maintenance for high performance computing systems; and (4) Gain a life experience working with professionals under real world situations. Filters were created to account for clusters running ibmon2 v1.0.0-1 10 Filters currently implemented for ibmon2 using Python. Filters look for threshold of port counters. Over certain counts, filters report errors to on-call system administrators and modifies grid to show local host with issue.

  5. Structure and inference in annotated networks

    E-Print Network [OSTI]

    Newman, M E J

    2015-01-01

    For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network, geographic location of nodes in the Internet, or cellular function of nodes in a gene regulatory network. Here we demonstrate how this "metadata" can be used to improve our analysis and understanding of network structure. We focus in particular on the problem of community detection in networks and develop a mathematically principled approach that combines a network and its metadata to detect communities more accurately than can be done with either alone. Crucially, the method does not assume that the metadata are correlated with the communities we are trying to find. Instead the method learns whether a correlation exists and correctly uses or ignores the metadata depending on whether they contain useful information. The learned correlations are also of interest in their own right, allowing us to make predictions about the co...

  6. Cooperative Wireless Network Behnaam Aazhang

    E-Print Network [OSTI]

    Aazhang, Behnaam

    Cooperative Wireless Network Behnaam Aazhang #12;Cooperative Wireless Network Behnaam Aazhang Sabharwal #12;Wireless Network · Infrastructure · Ad hoc · Mesh network #12;Engineering Wireless Network · Wireless links ­ Per link design #12;Single Wireless Link · Additive Gaussian Channels ­ Achievable rate

  7. Interconnecting PV on New York City's Secondary Network Distribution System

    SciTech Connect (OSTI)

    Anderson, K.; Coddington, M.; Burman, K.; Hayter, S.; Kroposki, B.; Watson, A.

    2009-12-01

    This study describes technical assistance provided by NREL to help New York City and Con Edison improve the interconnection of distributed PV systems on a secondary network distribution system.

  8. Design, Simulation, and Analysis of Substation Automation Networks 

    E-Print Network [OSTI]

    Kembanur Natarajan, Elangovan

    2012-07-16

    modern local and wide area communication networks for improving reliability and performance in critical infrastructures. Emerging critical infrastructure applications, such as smart grid, require a certain degree of reliability and Quality of Service (Qo...

  9. Integrated assessment of quality of supply in future electricity networks 

    E-Print Network [OSTI]

    Hernando Gil, Ignacio

    2014-11-27

    Although power system reliability analysis is a mature research area, there is a renewed interest in updating available network models and formulating improved reliability assessment procedures. The main driver of this ...

  10. Adaptive sampling and forecasting with mobile sensor networks

    E-Print Network [OSTI]

    Choi, Han-Lim

    2009-01-01

    This thesis addresses planning of mobile sensor networks to extract the best information possible out of the environment to improve the (ensemble) forecast at some verification region in the future. To define the information ...

  11. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20

    A network of interconnected processors is formed from a vertex symmetric graph selected from graphs GAMMA/sub d/(k) with degree d, diameter k, and (d + 1)exclamation/ (d /minus/ k + 1)exclamation processors for each d greater than or equal to k and GAMMA/sub d/(k, /minus/1) with degree d /minus/ 1, diameter k + 1, and (d + 1)exclamation/(d /minus/ k + 1)exclamation processors for each d greater than or equal to k greater than or equal to 4. Each processor has an address formed by one of the permutations from a predetermined sequence of letters chosen a selected number of letters at a time, and an extended address formed by appending to the address the remaining ones of the predetermined sequence of letters. A plurality of transmission channels is provided from each of the processors, where each processor has one less channel than the selected number of letters forming the sequence. Where a network GAMMA/sub d/(k, /minus/1) is provided, no processor has a channel connected to form an edge in a direction delta/sub 1/. Each of the channels has an identification number selected from the sequence of letters and connected from a first processor having a first extended address to a second processor having a second address formed from a second extended address defined by moving to the front of the first extended address the letter found in the position within the first extended address defined by the channel identification number. The second address is then formed by selecting the first elements of the second extended address corresponding to the selected number used to form the address permutations. 9 figs.

  12. Evaluation of Neural Networks for Data Classification, Recognition, and Navigation

    E-Print Network [OSTI]

    Wood, Stephen L.

    and Environmental Systems at Florida Institute of Technology in partial fulfillment of the requirements for a combined network, but improved results are achieved using a "fish only" network with pulse energy gathering presented. #12;iv Table of Contents List of Keywords

  13. Optimal Seismic Network Density for Earthquake Early Warning: A Case

    E-Print Network [OSTI]

    Allen, Richard M.

    Optimal Seismic Network Density for Earthquake Early Warning: A Case Study from California by H and the public actively use early warning information is a crucial factor in early warning system design (Aktas detection and alert-filtering algorithms; and (d) well-developed seismic networks with improved station

  14. On Top-k Recommendation using Social Networks Xiwang Yang

    E-Print Network [OSTI]

    Liu, Yong

    On Top-k Recommendation using Social Networks Xiwang Yang , Harald Steck ,Yang Guo and Yong Liu). Social network based top-k recommendation, which recom- mends to a user a small number of items at a time, is not well studied. In this paper, we conduct a comprehensive study on improving the accuracy of top

  15. A New Stochastic PSO Technique for Neural Network Training

    E-Print Network [OSTI]

    Li, Yangmin

    A New Stochastic PSO Technique for Neural Network Training Yangmin Li and Xin Chen Department Optimization(PSO) has been widely applied for training neural network. To improve the performance of PSO paradigm of particle swarm optimization named stochastic PSO (S-PSO). The feature of the S-PSO is its high

  16. How a neural net grows symbols Proceedings of the Seventh Australian Conference on Neural Networks, Canberra, 1996, pp. 91-6

    E-Print Network [OSTI]

    Franklin, James

    How a neural net grows symbols Proceedings of the Seventh Australian Conference on Neural Networks neural networks and symbolic AI, in such a way as to combine the good features of each. It is argued.Franklin@unsw.edu.au April 8, 2005 Abstract Brains, unlike artificial neural nets, use sym- bols to summarise and reason

  17. Brain Sci. 2012, 2, 147-175; doi:10.3390/brainsci2020147 brain sciences

    E-Print Network [OSTI]

    activities are unconscious, perhaps along with secondary-process learning and memory mechanisms, the primal to classical psychoanalytical models. OPEN ACCESS #12;Brain Sci. 2012, 2 148 Keywords: affective consciousness of conscious and unconscious brain processes, using a neuropsychoanalytic framework. Our starting point

  18. Drug disposition and targeting: Transport across the blood-brain barrier

    E-Print Network [OSTI]

    Rochat, Bertrand; Audus, Kenneth L.

    1999-01-01

    the BBB. Neutral amino-acid carriers have proven to be capable of transporting many amino acids, drugs and endogenous compounds with similar stuctures. Leucine, cysteine, serine, alanine, phenylalanine, L-dopa, L-tryptophan, the alkylating agent... the carriers for opioids at the BBB have not been resolved. The possibility obviously exists, however, for the design and development of opioid peptide therapeutics that target BBB carriers and achieve improve brain delivery (Thomas et al., 1997). The last...

  19. Statistical Analysis of the Road Network of India

    E-Print Network [OSTI]

    Mukherjee, Satyam

    2012-01-01

    In this paper we study the Indian Highway Network as a complex network where the junction points are considered as nodes, and the links are formed by an existing connection. We explore the topological properties and community structure of the network. We observe that the Indian Highway Network displays small world properties and is assortative in nature. We also identify the most important road-junctions (or cities) in the highway network based on the betweenness centrality of the node. This could help in identifying the potential congestion points in the network. Our study is of practical importance and could provide a novel approach to reduce congestion and improve the performance of the highway network

  20. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Freight Network World Oil Routes Natural Gas Flows Network Systems Internet Traffic Anna Nagurney in decision-making; constraints on resources: human, financial, natural, time, etc.; global reach of many of Networks Today large-scale nature and complexity of network topology; congestion, which leads

  1. Toward real-time communication using brain-computer interface systems

    E-Print Network [OSTI]

    Speier, William Farran

    2015-01-01

    Unsupervised training of brain-computer interface systemsSingle Trial EEG: Towards Brain Computer Interfacing. AdvK. (2006) The Berlin brain-computer interface presents the

  2. White matter disruption in moderate/severe pediatric traumatic brain injury: Advanced tract-based analyses

    E-Print Network [OSTI]

    2015-01-01

    severity, and extent of the brain damage patients sustain.whereby disruption of one injured brain area spreadsto other connected brain areas. This is an on- going,

  3. Understanding Why Patients Return to the Emergency Department after Mild Traumatic Brain Injury within 72 Hours

    E-Print Network [OSTI]

    2015-01-01

    patients with minimal brain injury and small intracranialelements for traumatic brain injury: a population study. Intcenter for mild traumatic brain injury. Neurosurgical Focus.

  4. Structural and Functional Brain Alterations in Patients with Irritable Bowel Syndrome

    E-Print Network [OSTI]

    Hong, Jui-Yang

    2015-01-01

    Parkinson's disease. Behav Brain Res. Zou QH, Zhu CZ, YangMP (2010) The oscillating brain: complex and reliable.of the Resting Brain………………………………………………………………8

  5. The role of brain-derived neurotrophic factor in cortical motor learning

    E-Print Network [OSTI]

    Von dem Bussche, Mary

    2007-01-01

    T. , and Nakamura, S. , Brain-derived neurotrophic factor-dependent transfer of brain-derived neurotrophic factor toneurotrophic factors brain-derived neurotrophic factor and

  6. Brain-derived neurotrophic factor rescues synaptic plasticity in a mouse model of fragile X syndrome.

    E-Print Network [OSTI]

    2007-01-01

    in mice lacking brain- derived neurotrophic factor. Procterm potentiation by brain- derived neurotrophic factor. JCM, Simmons DA (2007b) Brain-derived neurotrophic factor

  7. AMPA receptor-induced local brain-derived neurotrophic factor signaling mediates motor recovery after stroke.

    E-Print Network [OSTI]

    Clarkson, Andrew N; Overman, Justine J; Zhong, Sheng; Mueller, Rudolf; Lynch, Gary; Carmichael, S Thomas

    2011-01-01

    polymorphism in the brain-derived neurotrophic factor gene (Chronic elevation of brain-derived neurotrophic factor bysustained increases in brain-derived neurotrophic fac- tor

  8. High-speed quantum networking by ship

    E-Print Network [OSTI]

    Simon J. Devitt; Andrew D. Greentree; Ashley M. Stephens; Rodney Van Meter

    2015-12-07

    Quantum communication will improve the security of cryptographic systems and decision-making algorithms, support secure client-server computation, and improve the sensitivity of scientific instruments. As these applications consume quantum entanglement, a method for replenishing networked entanglement is essential. Direct transmission of quantum signals over long distances is prevented by fibre attenuation and the no-cloning theorem. This has motivated the development of quantum repeaters, which are designed to purify entanglement and extend its range. Quantum repeaters have been demonstrated over short distances, but an error-corrected repeater network with sufficient bandwidth over global distances will require new technology. In particular, no proposed hardware appears suitable for deployment along undersea cables, leaving the prospect of isolated metropolitan networks. Here we show that error-corrected quantum memories installed in cargo containers and carried by ship could provide a flexible and scalable connection between local networks, enabling low-latency, high-fidelity quantum communication across global distances. With recent demonstrations of quantum technology with sufficient fidelity to enable topological error correction, implementation of the necessary quantum memories is within reach, and effective bandwidth will increase with improvements in fabrication. Thus, our architecture provides a new approach to quantum networking that avoids many of the technological requirements of undersea quantum repeaters, providing an alternate path to a worldwide Quantum Internet.

  9. Neural Networks Approaches for Discovering the Learnable Correlation between Gene Function and Gene

    E-Print Network [OSTI]

    Bonner, Anthony

    Neural Networks Approaches for Discovering the Learnable Correlation between Gene Function and Gene novel clustering and Neural Network (NN) approaches for predicting mouse gene functions from gene. Our results show that neural networks can be extremely useful in this area. We present the improved

  10. Contributed article Fractional Fourier transform pre-processing for neural networks

    E-Print Network [OSTI]

    Barshan, Billur

    Contributed article Fractional Fourier transform pre-processing for neural networks and its This study investigates fractional Fourier transform pre-processing of input signals to neural networks. Judicious choice of this parameter can lead to overall improvement of the neural network performance

  11. Networking Lessons: From Computers to Water Iyswarya Narayanan, Venkatesh Sarangan, Arunchandar Vasan

    E-Print Network [OSTI]

    Srinivasan, Aravind

    Networking Lessons: From Computers to Water Iyswarya Narayanan, Venkatesh Sarangan, Arunchandar- working can be applied in water distribution networks to improve their energy footprint and/or efficiency networking can be used to better water distribution; (ii) we focus on a specific infrastructure enhancement

  12. A Software Architecture for Physical Layer Wireless Network Emulation Glenn Judd and Peter Steenkiste

    E-Print Network [OSTI]

    Steenkiste, Peter

    to understanding and improving wireless networks has been the lack of a realistic yet flexible experimental methodology. Physical layer wireless network emulation promises to achieve much of the flexibility of wirelessA Software Architecture for Physical Layer Wireless Network Emulation Glenn Judd and Peter

  13. The Price of Anarchy in Network Creation Games Is (Mostly) Constant

    E-Print Network [OSTI]

    Fiat, Amos

    The Price of Anarchy in Network Creation Games Is (Mostly) Constant Mat´us Mihal´ak and Jan the price of anarchy and the structure of equilibria in network creation games. A network creation game in the resulting graph of the game. In this paper we improve previously known bounds on the price of anarchy

  14. Cross-Layer Enabled Translucent Optical Network with Real-time Impairment Awareness

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    improvements in: (1) energy efficiency by optimizing the usage of regenerators, and (2) network performance and transparent networks, and therefore, to reduce costs and energy consumption in OTNs [6]. The existing to significant energy savings by optimizing the usage of regeneration resources, but also to network performance

  15. Ultra-wideband radar sensors and networks

    DOE Patents [OSTI]

    Leach, Jr., Richard R; Nekoogar, Faranak; Haugen, Peter C

    2013-08-06

    Ultra wideband radar motion sensors strategically placed in an area of interest communicate with a wireless ad hoc network to provide remote area surveillance. Swept range impulse radar and a heart and respiration monitor combined with the motion sensor further improves discrimination.

  16. The impact of cell site re-homing on the performance of umts core networks

    E-Print Network [OSTI]

    Ouyang, Ye; 10.5121/ijngn.2010.2105

    2010-01-01

    Mobile operators currently prefer optimizing their radio networks via re-homing or cutting over the cell sites in 2G or 3G networks. The core network, as the parental part of radio network, is inevitably impacted by the re-homing in radio domain. This paper introduces the cell site re-homing in radio network and analyzes its impact on the performance of GSM/UMTS core network. The possible re-homing models are created and analyzed for core networks. The paper concludes that appropriate re-homing in radio domain, using correct algorithms, not only optimizes the radio network but also helps improve the QoS of the core network and saves the carriers' OPEX and CAPEX on their core networks.

  17. Functional connectivity in a baseline resting-state network in autism

    E-Print Network [OSTI]

    Functional connectivity in a baseline resting-state network in autism Vladimir L. Cherkassky@cmu.edu Acknowledgements:This research was supported by the Collaborative Program of Excellence in Autism (CPEA) Grant HD 28 July 2006 Brain activity in people with high-functioning autism has been shown to be atypical

  18. Classifying Cognitive States from fMRI Data using Neural Networks

    E-Print Network [OSTI]

    Ghorbani, Ali

    of data about activity of the human brain. Our aim is to use this information in order to predict- Subject classifiers using bagging from a pool of feed-forward backpropagation networks. Our experiments Contrast) technique is a no radiation, no foreign contrast agent approach, being entirely noninvasive

  19. Southwestern Ontario Medical Education Network Southwestern Ontario Medical Education Network

    E-Print Network [OSTI]

    Lennard, William N.

    Southwestern Ontario Medical Education Network SWOMEN Southwestern Ontario Medical Education Network SWOMEN Contact: Charlotte Sikatori, Southwestern Ontario Medical Education Network (SWOMEN

  20. miRNAs in brain development

    SciTech Connect (OSTI)

    Petri, Rebecca; Malmevik, Josephine; Fasching, Liana; Åkerblom, Malin; Jakobsson, Johan

    2014-02-01

    MicroRNAs (miRNAs) are small, non-coding RNAs that negatively regulate gene expression at the post-transcriptional level. In the brain, a large number of miRNAs are expressed and there is a growing body of evidence demonstrating that miRNAs are essential for brain development and neuronal function. Conditional knockout studies of the core components in the miRNA biogenesis pathway, such as Dicer and DGCR8, have demonstrated a crucial role for miRNAs during the development of the central nervous system. Furthermore, mice deleted for specific miRNAs and miRNA-clusters demonstrate diverse functional roles for different miRNAs during the development of different brain structures. miRNAs have been proposed to regulate cellular functions such as differentiation, proliferation and fate-determination of neural progenitors. In this review we summarise the findings from recent studies that highlight the importance of miRNAs in brain development with a focus on the mouse model. We also discuss the technical limitations of current miRNA studies that still limit our understanding of this family of non-coding RNAs and propose the use of novel and refined technologies that are needed in order to fully determine the impact of specific miRNAs in brain development. - Highlights: • miRNAs are essential for brain development and neuronal function. • KO of Dicer is embryonically lethal. • Conditional Dicer KO results in defective proliferation or increased apoptosis. • KO of individual miRNAs or miRNA families is necessary to determine function.

  1. Electromagnetic imaging of dynamic brain activity

    SciTech Connect (OSTI)

    Mosher, J.; Leahy, R.; Lewis, P.; Lewine, J.; George, J.; Singh, M.

    1991-12-31

    Neural activity in the brain produces weak dynamic electromagnetic fields that can be measured by an array of sensors. Using a spatio-temporal modeling framework, we have developed a new approach to localization of multiple neural sources. This approach is based on the MUSIC algorithm originally developed for estimating the direction of arrival of signals impinging on a sensor array. We present applications of this technique to magnetic field measurements of a phantom and of a human evoked somatosensory response. The results of the somatosensory localization are mapped onto the brain anatomy obtained from magnetic resonance images.

  2. Brain Receptor Structures Key to Future Therapeutics

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura|BilayerBiomimeticBooksFormerTaubmanBrain ReceptorBrain

  3. The formation and function of the brain ventricular system

    E-Print Network [OSTI]

    Chang, Jessica T. (Jessica Tzung-Min)

    2012-01-01

    The brain ventricular system is composed of a highly conserved set of cavities that contain cerebrospinal fluid (CSF), a protein-rich fluid essential for brain function. However, little is known about the function of ...

  4. 9.14 Brain Structure and Its Origins, Spring 2009

    E-Print Network [OSTI]

    Schneider, Gerald E.

    Outline of mammalian functional neuroanatomy, aided by studies of comparative neuroanatomy and evolution, and of brain development. Topics include early steps to a central nervous system, basic patterns of brain and spinal ...

  5. BigNeuron: Unlocking the Secrets of the Human Brain

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    BigNeuron: Unlocking the Secrets of the Human Brain BigNeuron: Unlocking the Secrets of the Human Brain Berkeley Researchers and Supercomputers to Help Create a Standard 3D Neuron...

  6. High-Throughput Single-Cell Manipulation in Brain Tissue

    E-Print Network [OSTI]

    Steinmeyer, Joseph Daly

    The complexity of neurons and neuronal circuits in brain tissue requires the genetic manipulation, labeling, and tracking of single cells. However, current methods for manipulating cells in brain tissue are limited to ...

  7. Compartmentalization and axon guidance in the Drosophila brain

    E-Print Network [OSTI]

    Tayler, Timothy D., 1972-

    2005-01-01

    The Drosophila brain is composed of many morphologically and functionally distinct processing centers and brain morphogenesis depends on the creation and maintenance of distinct boundaries between adjacent regions to prevent ...

  8. Resource Allocation Techniques to Improve the Performance of Wireless Networks

    E-Print Network [OSTI]

    Arslan, Mustafa Yasir

    2012-01-01

    In comparison to a datacenter server, the power consumptionmagnitude) than using typical datacenter servers. 6.4 Design

  9. Improving the efficiency of research and development using belief networks

    E-Print Network [OSTI]

    Yost, Keith A

    2009-01-01

    Within the past thirty years, the U.S. government has spent over three trillion dollars supporting research and development projects across its various federal agencies. There is a considerable, long-standing need to ...

  10. Using statistical information to improve communication in MIMO networks

    E-Print Network [OSTI]

    Ghosh, Sagnik

    2012-01-01

    3.2.2 Derivation of Outage Probability . . . . . . . . .vi Chapter 3 Outage-Efficient Strategies for Multiuser MIMO1.5.2 CDI-based Outage Framework . . . . . . . . . . 1.5.3

  11. Improving Mobile Database Access Over Wide-Area Networks Without

    E-Print Network [OSTI]

    relationship management, asset tracking, and resource scheduling. A key contrib- utor to this success without degrading consistency. Cedar exploits the disk storage and processing power of a mobile client be used to reduce data transmission volume from a database server. The reduc- tion is achieved by using

  12. Information processing for improved performance of optical networks

    E-Print Network [OSTI]

    Alic, Nikola

    2006-01-01

    Performance  in  Communication  Systems”,  IEEE  Trans.  Fiber?Optic  Communication  Systems,  Second  Edition, Proakis, Digital Communication Systems, Fourth Edition, 

  13. Improving end-to-end availability using overlay networks

    E-Print Network [OSTI]

    Andersen, David G. (David Godbe), 1975-

    2005-01-01

    The end-to-end availability of Internet services is between two and three orders of magnitude worse than other important engineered systems, including the US airline system, the 911 emergency response system, and the US ...

  14. 21 Steps to Improve Cyber Security of SCADA Networks | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    functions in providing essential services and commodities (e.g., electricity, natural gas, gasoline, water, waste treatment, transportation) to all Americans. As such, they are...

  15. Strategies for Improved Biosonar Performance in Bat Social Networks 

    E-Print Network [OSTI]

    Davis, Kaylee

    2013-12-04

    room housed all computer and acoustic hardware for stimulus presentation and data acquisition. A third person managed the stimulus and data acquisition from this room during the experiments. The setup relied on two PCs with two 16- channel A/D data... slowed their emission rates by approximately 15% down to 36.8±0.8 pulses per second (n=10 bats, P<0.01) (Figure 4A). 17 Figure 3. Spectrograms of pulse trains emitted during flight through the open tunnel (A, B) and maze (C,D...

  16. USING NETWORKS OF JOURNEYS TO IMPROVE A PETROL MARKET MODEL

    E-Print Network [OSTI]

    Clark, Joanna

    producing promising results, the model was limited by the assumption that con- sumers would only buy petrol at the micro level are not tied to global level variables like oil prices); the parameters are often difficult

  17. Improving the performance of distributed simulations of wireless sensor networks

    E-Print Network [OSTI]

    Jin, Zhong-Yi

    2010-01-01

    2.3 Taxonomy of WSN simulators . . . . . . . . . . . 2.4Chapter 2 Overview of WSN Simulators . . . . . . . .Requirements for Designing WSN simulators . . 2.1.1 Overview

  18. Improving the hierarchy sensitivity of ICAL using neural network

    E-Print Network [OSTI]

    Ali Ajmi; Abhish Dev; Mohammad Nizam; Nitish Nayak; S. Uma Sankar

    2015-10-07

    Atmospheric neutrino experiments can determine the neutrino mass hierarchy for any value of $\\delta_{CP}$. The Iron Calorimeter (ICAL) detector at the India-based Neutrino Observatory can distinguish between the charged current interactions of $\

  19. Principles and Applications of Brain-Computer Interfaces

    E-Print Network [OSTI]

    Liu, Thomas T.

    -Signals for BCIs · Microarrays, ECoG, Neurochips, etc. Utah Electrode #12;Non-Brain Signals for BCIs

  20. Modeling oscillatory dynamics in brain microcircuits as a way to help uncover neurological disease mechanisms: A proposal

    SciTech Connect (OSTI)

    Skinner, F. K.; Department of Medicine , University of Toronto, 200 Elizabeth Street, Toronto, Ontario M5G 2C4; Department of Physiology, University of Toronto Medical Sciences Building, 3rd Floor, 1 King's College Circle, Toronto, Ontario M5S 1A8 ; Ferguson, K. A.; Department of Physiology, University of Toronto Medical Sciences Building, 3rd Floor, 1 King's College Circle, Toronto, Ontario M5S 1A8

    2013-12-15

    There is an undisputed need and requirement for theoretical and computational studies in Neuroscience today. Furthermore, it is clear that oscillatory dynamical output from brain networks is representative of various behavioural states, and it is becoming clear that one could consider these outputs as measures of normal and pathological brain states. Although mathematical modeling of oscillatory dynamics in the context of neurological disease exists, it is a highly challenging endeavour because of the many levels of organization in the nervous system. This challenge is coupled with the increasing knowledge of cellular specificity and network dysfunction that is associated with disease. Recently, whole hippocampus in vitro preparations from control animals have been shown to spontaneously express oscillatory activities. In addition, when using preparations derived from animal models of disease, these activities show particular alterations. These preparations present an opportunity to address challenges involved with using models to gain insight because of easier access to simultaneous cellular and network measurements, and pharmacological modulations. We propose that by developing and using models with direct links to experiment at multiple levels, which at least include cellular and microcircuit, a cycling can be set up and used to help us determine critical mechanisms underlying neurological disease. We illustrate our proposal using our previously developed inhibitory network models in the context of these whole hippocampus preparations and show the importance of having direct links at multiple levels.

  1. Deep brain stimulation for chronic pain investigated with magnetoencephalography

    E-Print Network [OSTI]

    Cornelissen, Piers

    Deep brain stimulation for chronic pain investigated with magnetoencephalography Morten L CharitableTrust. Received11September 2006; accepted14 September 2006 Deep brain stimulation has shown by magne- toencephalography to map changes in neural activity induced by deep brain stimulation

  2. Chemically-selective imaging of brain structures with CARS microscopy

    E-Print Network [OSTI]

    Xie, Xiaoliang Sunney

    Chemically-selective imaging of brain structures with CARS microscopy Conor L. Evans1§ , Xiaoyin Xu anti-Stokes Raman scattering (CARS) microscopy to image brain structure and pathology ex vivo. Although. Definitive diagnosis still requires brain biopsy in a significant number of cases. CARS microscopy

  3. animals --produce characteristic, heritable incubation times and patterns of brain

    E-Print Network [OSTI]

    Hays, Graeme

    animals -- produce characteristic, heritable incubation times and patterns of brain damage, the animalslivedalong,TSE-freelife,andmostly did not accumulate PrPSc in their brains (B. Chesebro, Rocky Mountain Labs, Hamilton, Montana). The injection of PrPSc -negative brain extracts from these mice into further

  4. Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain

    E-Print Network [OSTI]

    Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain Ninah Koolen1.dereymaeker, katrien.jansen, jan.vervisch, gunnar.naulaers}@uzleuven.be Keywords: Preterm Brain, Symmetry, Channel of different brain regions will allow detecting physiologic asymmetry versus pathologic asymmetry. This can

  5. ELSEVIER Brain Research 712 (1996) 293-298 Research report

    E-Print Network [OSTI]

    Tepper, James M.

    1996-01-01

    BRAIN RESEARCH ELSEVIER Brain Research 712 (1996) 293-298 Research report Local infusion of brain examined the effects of local infusion of BDNF on the electrophysioiogical activity of serotonergic neurons in the rat dorsal raph6 nucleus with extracellular single unit recording in vivo. Compared with vehicle-infused

  6. and the Brain Sound may seem a straightforward physical phenom-

    E-Print Network [OSTI]

    Hill, Wendell T.

    Hearing and the Brain Sound may seem a straightforward physical phenom- enon, whose waves can be recorded, charted and parsed. But no machines can do what the human brain does--understand a wide variety of electrical and computer engineering and member of the Institute for Systems Research, studies how the brain

  7. The Brain Opera Technology: New Instruments and Gestural Sensors for

    E-Print Network [OSTI]

    The Brain Opera Technology: New Instruments and Gestural Sensors for Musical Interaction-617-253-8988 Fax: +1-617-258-7168 Keywords: Brain Opera, human-computer interface, multimodal input devices and interactive installations developed for the Brain Opera, a large, touring multimedia production, where

  8. Child & Brain Development A group of individuals in the Community

    E-Print Network [OSTI]

    1 CASE STUDY Child & Brain Development A group of individuals in the Community Services Program for Society and Child Development and CIFAR's pro- gram in Experience-based Brain and Biolog- ical Development (EBBD, now called Child & Brain Development). Dan Keating, then director of the Atkinson Centre

  9. APPEL PROJETS PROGRAMME DE FINANCEMENT COLLABORATIF CQDM / BRAIN

    E-Print Network [OSTI]

    Charette, André

    / BRAIN CANADA 2014 FOCUS SUR LES NEUROSCIENCES LETTRE D'INTENTION DATE LIMITE: 20 AOÛT 2014 À 17H HAE Le programme collaboratif « Focus sur les neurosciences » du CQDM et de Brain Canada est une cadre de cet appel à projets. #12; Programme « Focus sur les neurosciences » du CQDM / Brain

  10. BRAIN AND SURFACE WARPING VIA MINIMIZING LIPSCHITZ EXTENSIONS

    E-Print Network [OSTI]

    BRAIN AND SURFACE WARPING VIA MINIMIZING LIPSCHITZ EXTENSIONS By Facundo M´emoli Guillermo Sapiro­0436 Phone: 612/624-6066 Fax: 612/626-7370 URL: http://www.ima.umn.edu #12;Brain and Surface Warping via connection with the infinity Laplacian, a computational framework for surface warping and in particular brain

  11. The Brain's "New" Science: Psychology, Neurophysiology, and Constraint*

    E-Print Network [OSTI]

    Hatfield, Gary

    The Brain's "New" Science: Psychology, Neurophysiology, and Constraint* Gary Hatfield University that brain science will or should provide for any future possible psychological theories. Hempel (1949 behavior and brain states. Quine (1974) maintained that mentalistic talk could be tolerated in psychology

  12. BRAIN ATLASES AND REGISTRATION Arthur W. Toga and Paul Thompson

    E-Print Network [OSTI]

    Thompson, Paul

    1 BRAIN ATLASES AND REGISTRATION Arthur W. Toga and Paul Thompson Laboratory of Neuro Imaging, Dept. of Neurology, Division of Brain Mapping, UCLA School of Medicine, Los Angeles, CA A Book Chapter for: Handbook and Stroke and the National Institute of Mental Health (NINDS/NIMH NS38753), and by a Human Brain Project

  13. DISCOVERING BRAIN MECHANISMS AND THE RULES OF MOLECULAR

    E-Print Network [OSTI]

    Stengel, Robert F.

    DISCOVERING BRAIN MECHANISMS AND THE RULES OF MOLECULAR BIOLOGY Paul Shapshak, PhD*1 and Robert-324-2723 ABSTRACT The human genome has approximately 30,000 genes. Brain cells express at least 15,000. The human brain is subject to many acute and chronic diseases including viral encephalitis, AIDS/HIV Associated

  14. Vulnerability Analysis of Complex Networks from Transportation Networks to

    E-Print Network [OSTI]

    Nagurney, Anna

    ;Natural Gas Pipeline Network in the US #12;World Oil Trading Network #12;The study of the efficient

  15. BDP: BrainSuite Diffusion Pipeline

    E-Print Network [OSTI]

    Leahy, Richard M.

    BDP: BrainSuite Diffusion Pipeline Chitresh Bhushan #12; Quantify microstructural tissue ROI Connectivity ROI Statistics MPRAGE Diffusion #12;Diffusion Pipeline Dicom to NIfTI Co ROIs Custom ROIs #12;Diffusion Pipeline Dicom to NIfTI Co-registration Diffusion Modeling Tractography

  16. Research Article Human Brain Activity Time-

    E-Print Network [OSTI]

    Zacks, Jeffrey M.

    Research Article Human Brain Activity Time- Locked to Narrative Event Boundaries Nicole K. Speer to or reading descriptions of everyday activities (e.g., reading about a person making cookies; Speer & Zacks, 2005; Speer, Zacks, & Reynolds, 2006). These findings are not altogether surprising given theories

  17. Possible new wave phenomena in the brain

    E-Print Network [OSTI]

    Jerzy Szwed

    2009-08-10

    We propose to search for new wave phenomena in the brain by using interference effects in analogy to the well-known double slit (Young) experiment. This method is able to extend the range of oscillation frequencies to much higher values than currently accessible. It is argued that such experiments may test the hypothesis of the wave nature of information coding.

  18. How brain images reveal cognition : an ethnographic study of meaning-making in brain mapping practice

    E-Print Network [OSTI]

    Ala?, Morana

    2006-01-01

    drawn chart representing human cortical organization, cf.organization and its form are laid out in the chart (Figurethe organization of the brain image in respect to the chart.

  19. Cultured Brain Microvessel Endothelial Cells as In Vitro Models of the Blood-Brain Barrier

    E-Print Network [OSTI]

    Takakura, Yoshinobu; Audus, Kenneth L.; Borchardt, Ronald T.

    1992-01-01

    .g., sucrose, fluorescein, inulin, and dextran) when drug transport studies are conducted (Shah et al. 1989). IN VITRO STUDIES ON BBB METABOLISM Several different enzyme systems have been established in primary cultures of bovine brain microvessel endothelial....g., sucrose, fluorescein, inulin, and dextran) when drug transport studies are conducted (Shah et al. 1989). IN VITRO STUDIES ON BBB METABOLISM Several different enzyme systems have been established in primary cultures of bovine brain microvessel endothelial...

  20. Comparison between Traditional Neural Networks and Radial Basis Function Networks

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    Comparison between Traditional Neural Networks and Radial Basis Function Networks Tiantian Xie, Hao networks: traditional neural networks and radial basis function (RBF) networks, both of which of neural network architectures are analyzed and compared based on four different examples. The comparison

  1. Rearing Environment Affects the Brain Size of Guppies: Lab-Reared Guppies have Smaller Brains than Wild-Caught

    E-Print Network [OSTI]

    Rodd, Helen

    . dom.), sheep (Ovis aries), and cats (Felis catus) typically have brains 8­33% smaller than their wild

  2. Cooperation Incentives for Wireless Networks

    E-Print Network [OSTI]

    Wu, Chuchu

    2015-01-01

    incentives in multi-hop wireless networks. ” In INFOCOM,for offloading traffic from LTE network to wireless peer-to-reputation sys- tem for wireless mesh networks using network

  3. High Performance Datacenter Networks

    E-Print Network [OSTI]

    Cortes, Corinna

    High Performance Datacenter Networks Architectures, Algorithms, and Opportunities #12;Synthesis architecture conferences, such as ISCA, HPCA, MICRO, and ASPLOS. High Performance Datacenter Networks Computer Architecture Daniel J. Sorin 2009 The Datacenter as a Computer: An Introduction to the Design

  4. Using Neural Networks 

    E-Print Network [OSTI]

    Gabel, S.

    2003-01-01

    A neural network approach is employed for estimating key efficiency parameters in a gas turbine engine. The concept is demonstrated within a limited operating region for a given engine. The neural network is developed to estimate certain...

  5. Class network routing

    DOE Patents [OSTI]

    Bhanot, Gyan (Princeton, NJ); Blumrich, Matthias A. (Ridgefield, CT); Chen, Dong (Croton On Hudson, NY); Coteus, Paul W. (Yorktown Heights, NY); Gara, Alan G. (Mount Kisco, NY); Giampapa, Mark E. (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Steinmacher-Burow, Burkhard D. (Mount Kisco, NY); Takken, Todd E. (Mount Kisco, NY); Vranas, Pavlos M. (Bedford Hills, NY)

    2009-09-08

    Class network routing is implemented in a network such as a computer network comprising a plurality of parallel compute processors at nodes thereof. Class network routing allows a compute processor to broadcast a message to a range (one or more) of other compute processors in the computer network, such as processors in a column or a row. Normally this type of operation requires a separate message to be sent to each processor. With class network routing pursuant to the invention, a single message is sufficient, which generally reduces the total number of messages in the network as well as the latency to do a broadcast. Class network routing is also applied to dense matrix inversion algorithms on distributed memory parallel supercomputers with hardware class function (multicast) capability. This is achieved by exploiting the fact that the communication patterns of dense matrix inversion can be served by hardware class functions, which results in faster execution times.

  6. Rooftop Unit Network Project

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Network Project RTU Network Project Michael Brambley, Ph.D. Pacific Northwest National Laboratory Michael.Brambley@pnnl.gov (509) 375-6875 April 4, 2013 2 | Building Technologies...

  7. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Gothenburg University Gothenburg, Sweden and John F. Smith Memorial Professor Director ­ Virtual Center themselves, such as the Internet with electric power networks, financial networks, and transportation Cables Radio Links Voice, Data, Video Energy Pumping Stations, Plants Pipelines, Transmission Lines Water

  8. Network coded wireless architecture

    E-Print Network [OSTI]

    Katti, Sachin Rajsekhar

    2008-01-01

    Wireless mesh networks promise cheap Internet access, easy deployment, and extended range. In their current form, however, these networks suffer from both limited throughput and low reliability; hence they cannot meet the ...

  9. Landscape Characterization and Representativeness Analysis for Understanding Sampling Network Coverage

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Maddalena, Damian; Hoffman, Forrest; Kumar, Jitendra; Hargrove, William

    Sampling networks rarely conform to spatial and temporal ideals, often comprised of network sampling points which are unevenly distributed and located in less than ideal locations due to access constraints, budget limitations, or political conflict. Quantifying the global, regional, and temporal representativeness of these networks by quantifying the coverage of network infrastructure highlights the capabilities and limitations of the data collected, facilitates upscaling and downscaling for modeling purposes, and improves the planning efforts for future infrastructure investment under current conditions and future modeled scenarios. The work presented here utilizes multivariate spatiotemporal clustering analysis and representativeness analysis for quantitative landscape characterization and assessment of the Fluxnet, RAINFOR, and ForestGEO networks. Results include ecoregions that highlight patterns of bioclimatic, topographic, and edaphic variables and quantitative representativeness maps of individual and combined networks.

  10. Landscape Characterization and Representativeness Analysis for Understanding Sampling Network Coverage

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Maddalena, Damian; Hoffman, Forrest; Kumar, Jitendra; Hargrove, William

    2014-08-01

    Sampling networks rarely conform to spatial and temporal ideals, often comprised of network sampling points which are unevenly distributed and located in less than ideal locations due to access constraints, budget limitations, or political conflict. Quantifying the global, regional, and temporal representativeness of these networks by quantifying the coverage of network infrastructure highlights the capabilities and limitations of the data collected, facilitates upscaling and downscaling for modeling purposes, and improves the planning efforts for future infrastructure investment under current conditions and future modeled scenarios. The work presented here utilizes multivariate spatiotemporal clustering analysis and representativeness analysis for quantitative landscape characterization and assessment of the Fluxnet, RAINFOR, and ForestGEO networks. Results include ecoregions that highlight patterns of bioclimatic, topographic, and edaphic variables and quantitative representativeness maps of individual and combined networks.

  11. Detecting Quantum Phase Transitions via Mutual Information Complex Networks

    E-Print Network [OSTI]

    David L. Vargas; Lincoln D. Carr

    2015-08-27

    Classical statistical physics has developed a powerful set of tools for analyzing complex systems, chief among them complex networks, in which connectivity and topology predominate over other system features. Complex networks model systems as diverse as the brain and the internet; however, they have had little application to quantum systems, till now. Framing connectivity in terms of quantum non-locality, we bring complex network theory into the quantum realm via an adjacency matrix constructed from mutual information, or long-range entanglement. Using matrix-product-state computational methods, we apply this new set of quantum tools to an emergent feature, quantum phase transitions. We demonstrate rapid finite size-scaling for both transverse Ising and Bose-Hubbard models, including $Z_2$, mean field, and BKT transitions. This work opens the door for a new set of tools for complex quantum systems, as well as providing an operator-independent alternative approach to the study of critical phenomena.

  12. Brain 1 Walter J Freeman Introductory article on 'Brain' Encyclopedia of Science & Technology, Vol. 3, pp.30-32,

    E-Print Network [OSTI]

    Freeman, Walter J.

    Brain 1 Walter J Freeman Introductory article on 'Brain' Encyclopedia of Science & Technology, Vol Biology University of California, Berkeley CA 94720 TEL (510) 642-4220; FAX (510) 643-6791 Brain, biology) that moves through its environment to eat and avoid being eaten, in competition to reproduce

  13. Mobile Networks and Applications

    E-Print Network [OSTI]

    Chen, Min

    of Western Macedonia, Macedonia, Greece e-mail: vasilako@ath.forthnet.gr Keywords wireless sensor networks

  14. In: Proceedings of SPIE Conference on Medical Imaging (4684), pp. 201-205, Feb. 2002. Robustness of the Brain Parenchymal Fraction for Measuring Brain

    E-Print Network [OSTI]

    Orchard, Jeffery J.

    of the Brain Parenchymal Fraction for Measuring Brain Atrophy M. Stella Atkins, Jeff J. Orchard, Ben Law ABSTRACT Other researchers have proposed that the brain parenchymal fraction (or brain atrophy) may considers various factors influencing the measure of the brain parenchymal fraction obtained from dual spin

  15. Metallic nanowire networks

    DOE Patents [OSTI]

    Song, Yujiang; Shelnutt, John A.

    2012-11-06

    A metallic nanowire network synthesized using chemical reduction of a metal ion source by a reducing agent in the presence of a soft template comprising a tubular inverse micellar network. The network of interconnected polycrystalline nanowires has a very high surface-area/volume ratio, which makes it highly suitable for use in catalytic applications.

  16. Ergonomic Improvements for Foundries

    SciTech Connect (OSTI)

    Frank Peters; Patrick Patterson

    2002-06-18

    The goal of this project was to make improvements to the production systems of the steel casting industry through ergonomic improvements. Because of the wide variety of products, the wide range of product sizes, and the relatively small quantities of any particular product, manual operations remain a vital part of the production systems of the steel casting companies. Ergonomic improvements will assist the operators to more efficiently and consistently produce quality products.

  17. Intermittent synchronization in a network of bursting neurons

    E-Print Network [OSTI]

    Choongseok Park; Leonid L. Rubchinsky

    2011-09-12

    Synchronized oscillations in networks of inhibitory and excitatory coupled bursting neurons are common in a variety of neural systems from central pattern generators to human brain circuits. One example of the latter is the subcortical network of the basal ganglia, formed by excitatory and inhibitory bursters of the subthalamic nucleus and globus pallidus, involved in motor control and affected in Parkinson's disease. Recent experiments have demonstrated the intermittent nature of the phase-locking of neural activity in this network. Here we explore one potential mechanism to explain the intermittent phase-locking in a network. We simplify the network to obtain a model of two inhibitory coupled elements and explore its dynamics. We used geometric analysis and singular perturbation methods for dynamical systems to reduce the full model to a simpler set of equations. Mathematical analysis was completed using three slow variables with two different time scales. Intermittently synchronous oscillations are generated by overlapped spiking which crucially depends on the geometry of the slow phase plane and the interplay between slow variables as well as the strength of synapses. Two slow variables are responsible for the generation of activity patterns with overlapped spiking and the other slower variable enhances the robustness of an irregular and intermittent activity pattern. While the analyzed network and the explored mechanism of intermittent synchrony appear to be quite generic, the results of this analysis can be used to trace particular values of biophysical parameters (synaptic strength and parameters of calcium dynamics), which are known to be impacted in Parkinson's disease.

  18. Synchronization in Complex Oscillator Networks and Smart Grids

    E-Print Network [OSTI]

    Florian Dörfler; Michael Chertkov; Francesco Bullo

    2012-07-31

    The emergence of synchronization in a network of coupled oscillators is a fascinating topic in various scientific disciplines. A coupled oscillator network is characterized by a population of heterogeneous oscillators and a graph describing the interaction among them. It is known that a strongly coupled and sufficiently homogeneous network synchronizes, but the exact threshold from incoherence to synchrony is unknown. Here we present a novel, concise, and closed-form condition for synchronization of the fully nonlinear, non-equilibrium, and dynamic network. Our synchronization condition can be stated elegantly in terms of the network topology and parameters, or equivalently in terms of an intuitive, linear, and static auxiliary system. Our results significantly improve upon the existing conditions advocated thus far, they are provably exact for various interesting network topologies and parameters, they are statistically correct for almost all networks, and they can be applied equally to synchronization phenomena arising in physics and biology as well as in engineered oscillator networks such as electric power networks. We illustrate the validity, the accuracy, and the practical applicability of our results in complex networks scenarios and in smart grid applications.

  19. Network Characterization Service (NCS)

    SciTech Connect (OSTI)

    Jin, Guojun; Yang, George; Crowley, Brian; Agarwal, Deborah

    2001-06-06

    Distributed applications require information to effectively utilize the network. Some of the information they require is the current and maximum bandwidth, current and minimum latency, bottlenecks, burst frequency, and congestion extent. This type of information allows applications to determine parameters like optimal TCP buffer size. In this paper, we present a cooperative information-gathering tool called the network characterization service (NCS). NCS runs in user space and is used to acquire network information. Its protocol is designed for scalable and distributed deployment, similar to DNS. Its algorithms provide efficient, speedy and accurate detection of bottlenecks, especially dynamic bottlenecks. On current and future networks, dynamic bottlenecks do and will affect network performance dramatically.

  20. Intrusion detection and monitoring for wireless networks.

    SciTech Connect (OSTI)

    Thomas, Eric D.; Van Randwyk, Jamie A.; Lee, Erik J.; Stephano, Amanda; Tabriz, Parisa; Pelon, Kristen; McCoy, Damon (University of Colorado, Boulder); Lodato, Mark; Hemingway, Franklin; Custer, Ryan P.; Averin, Dimitry; Franklin, Jason; Kilman, Dominique Marie

    2005-11-01

    Wireless computer networks are increasing exponentially around the world. They are being implemented in both the unlicensed radio frequency (RF) spectrum (IEEE 802.11a/b/g) and the licensed spectrum (e.g., Firetide [1] and Motorola Canopy [2]). Wireless networks operating in the unlicensed spectrum are by far the most popular wireless computer networks in existence. The open (i.e., proprietary) nature of the IEEE 802.11 protocols and the availability of ''free'' RF spectrum have encouraged many producers of enterprise and common off-the-shelf (COTS) computer networking equipment to jump into the wireless arena. Competition between these companies has driven down the price of 802.11 wireless networking equipment and has improved user experiences with such equipment. The end result has been an increased adoption of the equipment by businesses and consumers, the establishment of the Wi-Fi Alliance [3], and widespread use of the Alliance's ''Wi-Fi'' moniker to describe these networks. Consumers use 802.11 equipment at home to reduce the burden of running wires in existing construction, facilitate the sharing of broadband Internet services with roommates or neighbors, and increase their range of ''connectedness''. Private businesses and government entities (at all levels) are deploying wireless networks to reduce wiring costs, increase employee mobility, enable non-employees to access the Internet, and create an added revenue stream to their existing business models (coffee houses, airports, hotels, etc.). Municipalities (Philadelphia; San Francisco; Grand Haven, MI) are deploying wireless networks so they can bring broadband Internet access to places lacking such access; offer limited-speed broadband access to impoverished communities; offer broadband in places, such as marinas and state parks, that are passed over by traditional broadband providers; and provide themselves with higher quality, more complete network coverage for use by emergency responders and other municipal agencies. In short, these Wi-Fi networks are being deployed everywhere. Much thought has been and is being put into evaluating cost-benefit analyses of wired vs. wireless networks and issues such as how to effectively cover an office building or municipality, how to efficiently manage a large network of wireless access points (APs), and how to save money by replacing an Internet service provider (ISP) with 802.11 technology. In comparison, very little thought and money are being focused on wireless security and monitoring for security purposes.

  1. Tutorial: Neural networks and their potential application in nuclear power plants

    SciTech Connect (OSTI)

    Uhrig, R.E. (Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering Oak Ridge National Lab., TN (United States))

    1989-01-01

    A neural network is a data processing system consisting of a number of simple, highly interconnected processing elements in an architecture inspired by the structure of the cerebral cortex portion of the brain. Hence, neural networks are often capable of doing things which humans or animals do well but which conventional computers often do poorly. Neural networks have emerged in the past few years as an area of unusual opportunity for research, development and application to a variety of real world problems. Indeed, neural networks exhibit characteristics and capabilities not provided by any other technology. Examples include reading Japanese Kanji characters and human handwriting, reading a typewritten manuscript aloud, compensating for alignment errors in robots, interpreting very noise'' signals (e.g. electroencephalograms), modeling complex systems that cannot be modelled mathematically, and predicting whether proposed loans will be good or fail. This paper presents a brief tutorial on neural networks and describes research on the potential applications to nuclear power plants.

  2. Speed Training: Improving the Rate of Backpropagation Learning through Stochastic Sample Presentation

    E-Print Network [OSTI]

    Martinez, Tony R.

    Speed Training: Improving the Rate of Backpropagation Learning through Stochastic Sample. However, using complex neural networks to learn very large training sets is often problematic, imposing prohibitive time constraints on the training process. We present four practical methods for dramatically

  3. A Phase 3 Trial of Whole Brain Radiation Therapy and Stereotactic Radiosurgery Alone Versus WBRT and SRS With Temozolomide or Erlotinib for Non-Small Cell Lung Cancer and 1 to 3 Brain Metastases: Radiation Therapy Oncology Group 0320

    SciTech Connect (OSTI)

    Sperduto, Paul W.; Wang, Meihua; Robins, H. Ian; Schell, Michael C.; Werner-Wasik, Maria; Komaki, Ritsuko; Souhami, Luis; Buyyounouski, Mark K.; Khuntia, Deepak; Demas, William; Shah, Sunjay A.; Nedzi, Lucien A.; Perry, Gad; Suh, John H.; Mehta, Minesh P.

    2013-04-01

    Background: A phase 3 Radiation Therapy Oncology Group (RTOG) study subset analysis demonstrated improved overall survival (OS) with the addition of stereotactic radiosurgery (SRS) to whole brain radiation therapy (WBRT) in non-small cell lung cancer (NSCLC) patients with 1 to 3 brain metastases. Because temozolomide (TMZ) and erlotinib (ETN) cross the blood-brain barrier and have documented activity in NSCLC, a phase 3 study was designed to test whether these drugs would improve the OS associated with WBRT + SRS. Methods and Materials: NSCLC patients with 1 to 3 brain metastases were randomized to receive WBRT (2.5 Gy × 15 to 37.5 Gy) and SRS alone, versus WBRT + SRS + TMZ (75 mg/m{sup 2}/day × 21 days) or ETN (150 mg/day). ETN (150 mg/day) or TMZ (150-200 mg/m{sup 2}/day × 5 days/month) could be continued for as long as 6 months after WBRT + SRS. The primary endpoint was OS. Results: After 126 patients were enrolled, the study closed because of accrual limitations. The median survival times (MST) for WBRT + SRS, WBRT + SRS + TMZ, and WBRT + SRS + ETN were qualitatively different (13.4, 6.3, and 6.1 months, respectively), although the differences were not statistically significant. Time to central nervous system progression and performance status at 6 months were better in the WBRT + SRS arm. Grade 3 to 5 toxicity was 11%, 41%, and 49% in arms 1, 2, and 3, respectively (P<.001). Conclusion: The addition of TMZ or ETN to WBRT + SRS in NSCLC patients with 1 to 3 brain metastases did not improve survival and possibly had a deleterious effect. Because the analysis is underpowered, these data suggest but do not prove that increased toxicity was the cause of inferior survival in the drug arms.

  4. Improved flooding of broadcast messages using extended multipoint relaying Pere Montolio Arandaa

    E-Print Network [OSTI]

    Garcia-Alfaro, Joaquin

    Improved flooding of broadcast messages using extended multipoint relaying Pere Montolio Arandaa operation in wireless ad hoc networks is the flooding of broadcast messages to establish network topologies and routing tables. The flooding of broadcast messages is, however, a resource consuming process. It might

  5. proteinsSTRUCTURE O FUNCTION O BIOINFORMATICS Improving accuracy of protein contact

    E-Print Network [OSTI]

    Zhang, Yang

    to distinguish direct dependencies by network deconvolution, this study presents a new balanced network cost. The improvement is statisti- cally significant, with a P-value the spatial distance of two residues is close enough, for example, 8 A° , its corresponding entry

  6. The PPARalpha Agonist Fenofibrate Preserves Hippocampal Neurogenesis and Inhibits Microglial Activation After Whole-Brain Irradiation

    SciTech Connect (OSTI)

    Ramanan, Sriram [Department of Cancer Biology, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States); Brain Tumor Center of Excellence, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States); Kooshki, Mitra; Zhao Weiling [Brain Tumor Center of Excellence, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States); Department of Radiation Oncology, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States); Hsu, F.-C. [Department of Biostatistical Sciences, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States); Riddle, David R. [Brain Tumor Center of Excellence, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States); Department of Neurobiology and Anatomy, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States); Robbins, Mike E., E-mail: mrobbins@wfubmc.ed [Brain Tumor Center of Excellence, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States); Department of Radiation Oncology, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC (United States)

    2009-11-01

    Purpose: Whole-brain irradiation (WBI) leads to cognitive impairment months to years after radiation. Numerous studies suggest that decreased hippocampal neurogenesis and microglial activation are involved in the pathogenesis of WBI-induced brain injury. The goal of this study was to investigate whether administration of the peroxisomal proliferator-activated receptor (PPAR) alpha agonist fenofibrate would prevent the detrimental effect of WBI on hippocampal neurogenesis. Methods and Materials: For this study, 129S1/SvImJ wild-type and PPARalpha knockout mice that were fed either regular or 0.2% wt/wt fenofibrate-containing chow received either sham irradiation or WBI (10-Gy single dose of {sup 137}Cs gamma-rays). Mice were injected intraperitoneally with bromodeoxyuridine to label the surviving cells at 1 month after WBI, and the newborn neurons were counted at 2 months after WBI by use of bromodeoxyuridine/neuronal nuclei double immunofluorescence. Proliferation in the subgranular zone and microglial activation were measured at 1 week and 2 months after WBI by use of Ki-67 and CD68 immunohistochemistry, respectively. Results: Whole-brain irradiation led to a significant decrease in the number of newborn hippocampal neurons 2 months after it was performed. Fenofibrate prevented this decrease by promoting the survival of newborn cells in the dentate gyrus. In addition, fenofibrate treatment was associated with decreased microglial activation in the dentate gyrus after WBI. The neuroprotective effects of fenofibrate were abolished in the knockout mice, indicating a PPARalpha-dependent mechanism or mechanisms. Conclusions: These data highlight a novel role for PPARalpha ligands in improving neurogenesis after WBI and offer the promise of improving the quality of life for brain cancer patients receiving radiotherapy.

  7. Structural connectivity in schizophrenia and its impact on the dynamics of spontaneous functional networks

    SciTech Connect (OSTI)

    Cabral, Joana; Department of Psychiatry, University of Oxford, Oxford OX3 7JX ; Fernandes, Henrique M.; Van Hartevelt, Tim J.; Kringelbach, Morten L.; Center of Functionally Integrative Neuroscience , Aarhus University, Aarhus ; James, Anthony C.; Highfield Unit, Warneford Hospital, Oxford OX3 7JX ; Deco, Gustavo; Institució Catalana de Recerca i Estudis Avançats , Barcelona 08010

    2013-12-15

    The neuropathology of schizophrenia remains unclear. Some insight has come from modern neuroimaging techniques, which offer an unparalleled opportunity to explore in vivo the structure and function of the brain. Using functional magnetic resonance imaging, it has been found that the large-scale resting-state functional connectivity (rsFC) in schizophrenia — measured as the temporal correlations of the blood-oxygen-level-dependent (BOLD) signal — exhibit altered network topology, with lower small-world index. The origin of these rsFC alterations and link with the underlying structural connectivity remain unclear. In this work, we used a computational model of spontaneous large-scale brain activity to explore the role of the structural connectivity in the large-scale dynamics of the brain in health and schizophrenia. The structural connectomes from 15 adolescent patients with early-onset schizophrenia and 15 age- and gender-matched controls were built from diffusion tensor imaging data to detect the white matter tracts between 90 brain areas. Brain areas, simulated using a reduced dynamic mean-field model, receive excitatory input from other areas in proportion to the number of fibre tracts between them. The simulated mean field activity was transformed into BOLD signal, and the properties of the simulated functional networks were analyzed. Our results suggest that the functional alterations observed in schizophrenia are not directly linked to alterations in the structural topology. Instead, subtly randomized and less small-world functional networks appear when the brain operates with lower global coupling, which shifts the dynamics from the optimal healthy regime.

  8. Epileptic Seizures: Quakes of the brain?

    E-Print Network [OSTI]

    Osorio, Ivan; Sornette, Didier; Milton, John; Lai, Ying-Cheng

    2007-01-01

    The concept of universality proposes that dynamical systems with the same power law behaviors are equivalent at large scales. We test this hypothesis on the Earth's crust and the epileptic brain, and discover that power laws also govern the distributions of seizure energies and recurrence times. This robust correspondence is extended over seven statistics, including the direct and inverse Omori laws. We also verify in an animal seizure model the earthquake-driven hypothesis that power law statistics co-exist with characteristic scales, as coupling between constitutive elements increases towards the synchronization regime. These observations point to the universality of the dynamics of coupled threshold oscillators for systems even as diverse as Earth and brain and suggest a general strategy for forecasting seizures, one of neurosciences' grails.

  9. Brain-derived neurotrophic factor genotype is associated with brain gray and white matter tissue volumes recovery in abstinent alcohol-dependent individuals

    E-Print Network [OSTI]

    2012-01-01

    PA Author Manuscript Genes Brain Behav. Author manuscript;in major depression. Genes Brain Behav. 2011; 10:756–764. [G, Craighead WE. Variation in brain-derived neurotrophic

  10. Brain-derived neurotrophic factor genotype is associated with brain gray and white matter tissue volumes recovery in abstinent alcohol-dependent individuals

    E-Print Network [OSTI]

    2012-01-01

    WE. Variation in brain-derived neurotrophic factor (BDNF)183X.2012.00854.x. Brain-derived neurotrophic factorAuthor Manuscript Brain-derived neurotrophic factor (BDNF)

  11. Improved solid aerosol generator

    DOE Patents [OSTI]

    Prescott, D.S.; Schober, R.K.; Beller, J.

    1988-07-19

    An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.

  12. Improved wire chamber

    DOE Patents [OSTI]

    Atac, M.

    1987-05-12

    An improved gas mixture for use with proportional counter devices, such as Geiger-Mueller tubes and drift chambers. The improved gas mixture provides a stable drift velocity while eliminating wire aging caused by prior art gas mixtures. The new gas mixture is comprised of equal parts argon and ethane gas and having approximately 0.25% isopropyl alcohol vapor. 2 figs.

  13. Improving Energy Efficiency of Location Sensing on Smartphones

    E-Print Network [OSTI]

    Sivakumar, Raghupathy

    battery life by up to 75%. Categories and Subject Descriptors C.3.3 [Special-Purpose and Application-Based Applications (LBAs) have been adopted by mobile users for always-on contact for social-networking, busi- nesses to improve the battery life of mobile devices [11, 32­34], but little rigor and attention has been devoted

  14. Using Sphinx to Improve Onion Routing Circuit Construction (short paper)

    E-Print Network [OSTI]

    Goldberg, Ian

    for three onion routing protocols that have emerged as enhancements to the Tor anonymizing network; namely, Tor with predistributed Diffie- Hellman values, pairing-based onion routing, and certificateless onionUsing Sphinx to Improve Onion Routing Circuit Construction (short paper) Aniket Kate and Ian

  15. FLUID: Improving Throughputs in Enterprise Wireless LANs through Flexible Channelization

    E-Print Network [OSTI]

    Liblit, Ben

    the usefulness of flexible channels in the context of 802.11-based networks. Current 802.11 hardware can provideFLUID: Improving Throughputs in Enterprise Wireless LANs through Flexible Channelization Shravan for designing 802.11 wireless LANs (WLANs) using flexible channelization -- the choice of an appropriate channel

  16. Evaluating txdot's safety improvement index - a prioritization tool 

    E-Print Network [OSTI]

    Singi Reddy, Giridhar Reddy

    2009-05-15

    the number and severity of crashes and decreasing the potential for crashes on all highways” (FHWA, 1979). The federal government via the HSIP provides a significant amount of funding that allows every state to improve the safety of their highway network...

  17. Case Studies—Financing Energy Improvements on Utility Bills

    Broader source: Energy.gov [DOE]

    Hosted by Technical Assistance Program (TAP), the State and Local Energy Efficiency Action Network (SEE Action), and Lawrence Berkeley National Laboratory's Electricity Market and Policy Group, this webinar was the second of a two-part webinar series focused on the new report, Financing Energy Improvements on Utility Bills: Market Updates and Key Program Design Considerations for Policymakers and Administrators.

  18. Bridge Functionality Relationships for Improved Seismic Risk Assessment

    E-Print Network [OSTI]

    Padgett, Jamie Ellen

    Bridge Functionality Relationships for Improved Seismic Risk Assessment of Transportation Networks Jamie E. Padgett,a... M.EERI, and Reginald DesRoches,b... M.EERI Relationships between bridge damage and the resulting loss of functionality of the bridge are critical to assessing the impact of an earthquake event

  19. Improved Load Plan Design Through Integer Programming Based ...

    E-Print Network [OSTI]

    2011-12-21

    feasible solution, and the search for an improving solution is performed by solving ..... We model freight which enters the linehaul network at terminal u1 on day d1 as entering the ..... Set TERMS = array of top 25% of terminals with respect to Fd.

  20. Thermoacoustic tomography arising in brain imaging

    E-Print Network [OSTI]

    Plamen Stefanov; Gunther Uhlmann

    2010-09-09

    We study the mathematical model of thermoacoustic and photoacoustic tomography when the sound speed has a jump across a smooth surface. This models the change of the sound speed in the skull when trying to image the human brain. We derive an explicit inversion formula in the form of a convergent Neumann series under the assumptions that all singularities from the support of the source reach the boundary.

  1. Thermoacoustic tomography arising in brain imaging

    E-Print Network [OSTI]

    Stefanov, Plamen

    2010-01-01

    We study the mathematical model of thermoacoustic and photoacoustic tomography when the sound speed has a jump across a smooth surface. This models the change of the sound speed in the skull when trying to image the human brain. We derive an explicit inversion formula in the form of a convergent Neumann series under the assumptions that all singularities from the support of the source reach the boundary.

  2. Computational role of disinhibition in brain function 

    E-Print Network [OSTI]

    Yu, Yingwei

    2009-06-02

    of Committee, Yoonsuck Choe Committee Members, Ricardo Gutierrez-Osuna Thomas Ioerger Takashi Yamauchi Head of Department, Valerie E. Taylor August 2006 Major Subject: Computer Science iii ABSTRACT Computational Role of Disinhibition in Brain Function. (August... I could not have finished my Ph.D. research. I would also like to thank my committee members, Dr. Ricardo Gutierrez- Osuna, Dr. Takashi Yamauchi, and Dr. Thomas Ioerger, for their guidance, and Dr. Van Rullen for his valuable comments on my research...

  3. Brain-Computer Interfaces and Quantum Robots

    E-Print Network [OSTI]

    Eliano Pessa; Paola zizzi

    2009-09-08

    The actual (classical) Brain-Computer Interface attempts to use brain signals to drive suitable actuators performing the actions corresponding to subject's intention. However this goal is not fully reached, and when BCI works, it does only in particular situations. The reason of this unsatisfactory result is that intention cannot be conceived simply as a set of classical input-output relationships. It is therefore necessary to resort to quantum theory, allowing the occurrence of stable coherence phenomena, in turn underlying high-level mental processes such as intentions and strategies. More precisely, within the context of a dissipative Quantum Field Theory of brain operation it is possible to introduce generalized coherent states associated, within the framework of logic, to the assertions of a quantum metalanguage. The latter controls the quantum-mechanical computing corresponding to standard mental operation. It thus become possible to conceive a Quantum Cyborg in which a human mind controls, through a quantum metalanguage, the operation of an artificial quantum computer.

  4. 198 Int. J. High Performance Computing and Networking, Vol. 4, Nos. 3/4, 2006 Copyright 2006 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Shen, Jian - Department of Mathematics, Texas State University

    198 Int. J. High Performance Computing and Networking, Vol. 4, Nos. 3/4, 2006 Copyright © 2006 Performance Computing and Networking, Vol. 4, Nos. 3/4, pp.198­206. Biographical notes: Xiao Chen, J. (2006) `Improved schemes for power-efficient broadcast in ad hoc networks', Int. J. High

  5. Time optimal information transfer in spintronics networks

    E-Print Network [OSTI]

    Frank Langbein; Sophie Schirmer; Edmond Jonckheere

    2015-08-04

    Propagation of information encoded in spin degrees of freedom through networks of coupled spins enables important applications in spintronics and quantum information processing. We study control of information propagation in networks of spin-$\\tfrac{1}{2}$ particles with uniform nearest neighbour couplings forming a ring with a single excitation in the network as simple prototype of a router for spin-based information. Specifically optimising spatially distributed potentials, which remain constant during information transfer, simplifies the implementation of the routing scheme. However, the limited degrees of freedom makes finding a control that maximises the transfer probability in a short time difficult. We show that the structure of the eigenvalues and eigenvectors must fulfill a specific condition to be able to maximise the transfer fidelity, and demonstrate that a specific choice among the many potential structures that fulfill this condition significantly improves the solutions found by optimal control.

  6. Flow-based XOR Network Coding for Lossy Wireless Networks

    E-Print Network [OSTI]

    Wu, Jie

    1 Flow-based XOR Network Coding for Lossy Wireless Networks Abdallah Khreishah, Issa M. Khalil, Pouya Ostovari, and Jie Wu Abstract--A practical way for maximizing the throughput of a wireless network. We also extend our 2-hop relay networks results to multihop wireless networks by providing a linear

  7. Delayed switching applied to memristor neural networks

    SciTech Connect (OSTI)

    Wang, Frank Z.; Yang Xiao; Lim Guan [Future Computing Group, School of Computing, University of Kent, Canterbury (United Kingdom); Helian Na [School of Computer Science, University of Hertfordshire, Hatfield (United Kingdom); Wu Sining [Xyratex, Havant (United Kingdom); Guo Yike [Department of Computing, Imperial College, London (United Kingdom); Rashid, Md Mamunur [CERN, Geneva (Switzerland)

    2012-04-01

    Magnetic flux and electric charge are linked in a memristor. We reported recently that a memristor has a peculiar effect in which the switching takes place with a time delay because a memristor possesses a certain inertia. This effect was named the ''delayed switching effect.'' In this work, we elaborate on the importance of delayed switching in a brain-like computer using memristor neural networks. The effect is used to control the switching of a memristor synapse between two neurons that fire together (the Hebbian rule). A theoretical formula is found, and the design is verified by a simulation. We have also built an experimental setup consisting of electronic memristive synapses and electronic neurons.

  8. Experiences with 100Gbps Network Applications

    E-Print Network [OSTI]

    Balman, Mehmet

    2013-01-01

    Network Initiative (ANI) Testbed, which is supported by thes Advanced Network Initiative (ANI) network and testbed 5 ,DOE Magellan Project [17]. The ANI Network is a prototype

  9. Tampa Electric Neural Network Sootblowing

    SciTech Connect (OSTI)

    Mark A. Rhode

    2004-09-30

    Boiler combustion dynamics change continuously due to several factors including coal quality, boiler loading, ambient conditions, changes in slag/soot deposits and the condition of plant equipment. NOx formation, Particulate Matter (PM) emissions, and boiler thermal performance are directly affected by the sootblowing practices on a unit. As part of its Power Plant Improvement Initiative program, the US DOE is providing cofunding (DE-FC26-02NT41425) and NETL is the managing agency for this project at Tampa Electric's Big Bend Station. This program serves to co-fund projects that have the potential to increase thermal efficiency and reduce emissions from coal-fired utility boilers. A review of the Big Bend units helped identify intelligent sootblowing as a suitable application to achieve the desired objectives. The existing sootblower control philosophy uses sequential schemes, whose frequency is either dictated by the control room operator or is timed based. The intent of this project is to implement a neural network based intelligent sootblowing system, in conjunction with state-of-the-art controls and instrumentation, to optimize the operation of a utility boiler and systematically control boiler fouling. Utilizing unique, on-line, adaptive technology, operation of the sootblowers can be dynamically controlled based on real-time events and conditions within the boiler. This could be an extremely cost-effective technology, which has the ability to be readily and easily adapted to virtually any pulverized coal fired boiler. Through unique on-line adaptive technology, Neural Network-based systems optimize the boiler operation by accommodating equipment performance changes due to wear and maintenance activities, adjusting to fluctuations in fuel quality, and improving operating flexibility. The system dynamically adjusts combustion setpoints and bias settings in closed-loop supervisory control to simultaneously reduce NO{sub x} emissions and improve heat rate around the clock.

  10. Improving Blood Brain Barrier Permeation of Small Molecules Exhibiting Chemotherapeutic and Neuroprotective Effects

    E-Print Network [OSTI]

    Desino, Kelly Elizabeth

    2008-05-06

    . Somerville, NJ) was used for the permeability studies described in the following chapters. This set up consists of two glass chambers surrounded by thermal jackets which are maintained by a circulating water bath. BBMECs are grown on polycarbonate... Figure 1.1 Schematic of the Side-bi-Side? diffusion apparatus (Ho et al., 1999) Permeability studies are conducted by filling the donor (luminal) and receiver (abluminal) chambers with PBSA (phosphate buffered saline supplemented with CaCl2, MgSO4...

  11. The Price of Anarchy in Transportation Networks

    E-Print Network [OSTI]

    Youn, Hyejin; Jeong, Hawoong

    2007-01-01

    Uncoordinated individuals in human society pursuing their personally optimal strategies do not always achieve the social optimum, the most beneficial state to the society as a whole. Instead, strategies form Nash equilibria, which are, in general, socially suboptimal. Society, therefore, has to pay a price of anarchy for the lack of coordination among its members, which is often difficult to quantify in engineering, economics and policymaking. Here we report on an assessment of this price of anarchy by analyzing the road networks of Boston, London, and New York as well as complex model networks, where one's travel time serves as the relevant cost to be minimized. Our simulation shows that uncoordinated drivers possibly spend up to 30% more time than they would in socially optimal traffic, which leaves substantial room for improvement. Counterintuitively, simply blocking certain streets can partially improve the traffic condition to a measurable extent based on our result.

  12. Seven Deadliest Network Attacks

    SciTech Connect (OSTI)

    Prowell, Stacy J [ORNL; Borkin, Michael [None; Kraus, Robert [Solutionary, Inc.

    2010-05-01

    Do you need to keep up with the latest hacks, attacks, and exploits effecting networks? Then you need "Seven Deadliest Network Attacks". This book pinpoints the most dangerous hacks and exploits specific to networks, laying out the anatomy of these attacks including how to make your system more secure. You will discover the best ways to defend against these vicious hacks with step-by-step instruction and learn techniques to make your computer and network impenetrable. Attacks detailed in this book include: Denial of Service; War Dialing; Penetration 'Testing'; Protocol Tunneling; Spanning Tree Attacks; Man-in-the-Middle; and, Password Replay. Knowledge is power, find out about the most dominant attacks currently waging war on computers and networks globally. Discover the best ways to defend against these vicious attacks; step-by-step instruction shows you how. Institute countermeasures, don't be caught defenseless again, learn techniques to make your computer and network impenetrable.

  13. Reconfigureable network node

    DOE Patents [OSTI]

    Vanderveen, Keith B. (Tracy, CA); Talbot, Edward B. (Livermore, CA); Mayer, Laurence E. (Davis, CA)

    2008-04-08

    Nodes in a network having a plurality of nodes establish communication links with other nodes using available transmission media, as the ability to establish such links becomes available and desirable. The nodes predict when existing communications links will fail, become overloaded or otherwise degrade network effectiveness and act to establish substitute or additional links before the node's ability to communicate with the other nodes on the network is adversely affected. A node stores network topology information and programmed link establishment rules and criteria. The node evaluates characteristics that predict existing links with other nodes becoming unavailable or degraded. The node then determines whether it can form a communication link with a substitute node, in order to maintain connectivity with the network. When changing its communication links, a node broadcasts that information to the network. Other nodes update their stored topology information and consider the updated topology when establishing new communications links for themselves.

  14. Solar Forecast Improvement Project

    Office of Energy Efficiency and Renewable Energy (EERE)

    For the Solar Forecast Improvement Project (SFIP), the Earth System Research Laboratory (ESRL) is partnering with the National Center for Atmospheric Research (NCAR) and IBM to develop more...

  15. European VLBI Network: Present and Future

    E-Print Network [OSTI]

    Zensus, J A

    2015-01-01

    The European VLBI Network is a collaboration of the major radio astronomical institutes in Europe, Asia, South Africa and Puerto Rico. Established four decades ago, since then it has constantly improved its performance in terms made using resolution, data bit-rate and image fidelity with improvements in performance, and the addition of new stations and observing capabilities. The EVN provides open skies access and has over time become a common-user facility. In this contribution we discuss the present status and perspectives for the array in a continuously changing environment, especially in the era of ALMA and with the Square Kilometre Array ante portas.

  16. Chapters 6 & 8 Wireless Networks

    E-Print Network [OSTI]

    Lu, Enyue "Annie"

    Chapters 6 & 8 Wireless Networks and Security Computer Networking:ATop Down Approach 6th edition.W. Ross, All Rights Reserved Wireless, Mobile Networks 6-1 #12;Wireless, Mobile Networks 6-2 Ch. 6: Wireless and Mobile Networks Background: # wireless (mobile) phone subscribers now exceeds # wired phone

  17. Wireless Network Economics and Games

    E-Print Network [OSTI]

    Huang, Jianwei

    Wireless Network Economics and Games Jianwei Huang Network Communications & Economics Lab-play-games/id642100914! ! · J. Huang and L. Gao, "Wireless Network Pricing," Synthesis Lectures on Communication Networks://jianwei.ie.cuhk.edu.hk/publication/Book/ WirelessNetworkPricing.pdf! ! #12;Why Wireless Economics and Games? #12;Wireless Utopia · Wireless spectrum

  18. Canal dike system improvements

    SciTech Connect (OSTI)

    Walton, W.H.; Asce, M.; Rook, M.E. [GEI Consultants, Inc., Chicago, IL (United States); [New England Power Service Co., Westborough, MA (United States)

    1995-12-31

    As part of New England Power Company`s (NEP) continuing effort to maintain a safe and operable generating facility, significant structural improvements were made between 1992 and 1993 to the Deerfield No. 5 Hydroelectric Development`s 2,750 meter (9,000 feet) long canal dike system. These improvements were the result of extensive geotechnical field exploration and instrumentation programs. To improve stability, expedited construction improvements were made producing over 340 meters (1,100 feet) of improved dikes with stabilization berms and filter blankets for seepage and slope stability protection. Currently, NEP operates the facility with restrictions on maximum allowable water elevations, performs daily inspections and periodic instrument readings to assure continued public safety. A key component to accomplishing the canal dike system improvements in a timely and efficient manner was the level of cooperation established between NEP and the Federal Energy Regulatory Commission (FERC). This cooperation was promoted in part through open discussions on canal dike issues, the owner`s acceptance of obligation, and FERC`s willingness to work with NEP to achieve responsive solutions.

  19. Community Cellular Networks

    E-Print Network [OSTI]

    Heimerl, Kurtis

    2013-01-01

    2.1.3 Rural Cellular . . . . . . . . . . . . . . 2.2Community Cellular . . . . . . . . . . . . . . . . .9.1.1Community Cellular Networks 3.1 De?ning Community Cellular

  20. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Ethereal #12 wireless LAN (WLAN) Non è ancora realmente utilizzato Scaricabile all'indirizzo: http

  1. Potential Networks, Contagious Communities, and Understanding Social Network Structure

    E-Print Network [OSTI]

    Schoenebeck, Grant

    2013-01-01

    In this paper we study how the network of agents adopting a particular technology relates to the structure of the underlying network over which the technology adoption spreads. We develop a model and show that the network of agents adopting a particular technology may have characteristics that differ significantly from the social network of agents over which the technology spreads. For example, the network induced by a cascade may have a heavy-tailed degree distribution even if the original network does not. This provides evidence that online social networks created by technology adoption over an underlying social network may look fundamentally different from social networks and indicates that using data from many online social networks may mislead us if we try to use it to directly infer the structure of social networks. Our results provide an alternate explanation for certain properties repeatedly observed in data sets, for example: heavy-tailed degree distribution, network densification, shrinking diameter...

  2. Self-organized network design by link survivals and shortcuts

    E-Print Network [OSTI]

    Hayashi, Yukio

    2011-01-01

    One of the challenges for future infrastructures is how to design a network with high efficiency and strong connectivity at low cost. We propose self-organized geographical networks beyond the vulnerable scale-free structure found in many real systems. The networks with spatially concentrated nodes emerge through link survival and path reinforcement on routing flows in a wireless environment with a constant transmission range of a node. In particular, we show that adding some shortcuts induces both the small-world effect and a significant improvement of the robustness to the same level as in the optimal bimodal networks. Such a simple universal mechanism will open prospective ways for several applications in wide-area ad hoc networks, smart grids, and urban planning.

  3. Cosmic Microwave Background anisotropies generated by domain wall networks

    E-Print Network [OSTI]

    Sousa, L

    2015-01-01

    We develop a numerical tool for the fast computation of the temperature and polarization power spectra generated by domain wall networks, by extending the publicly available CMBACT code --- that calculates the CMB signatures generated by active sources --- to also describe domain wall networks. In order to achieve this, we adapt the Unconnected Segment model for cosmic strings to also describe domain wall networks, and use it to model the energy-momentum of domain wall networks throughout their cosmological history. We use this new tool to compute and study the TT, EE, TE and BB power spectra generated by standard domain wall networks, and derive a conservative constraint on the energy scale of the domain wall-forming phase transition of $\\upeta <0.92\\,\\,{\\rm MeV}$ (which is a slight improvement over the original Zel'dovich bound of $1\\,\\,{\\rm MeV}$).

  4. Hot Topics Livescience RSS Feeds Newsletters A new brain electrode array wraps

    E-Print Network [OSTI]

    Rogers, John A.

    :06 pm ET Comments (0) | Recommend (1) Page 1 of 3New Implants Mold to Brain Like Shrink-Wrap | Live shrink-wrap around a model of the brain. The wrapping process occurs spontaneously, driven by capillary designed brain exercises. Proven Brain Exercises New silken brain implants that mold to the organ's grooves

  5. Microfluidic Brain Slice Chambers and Flexible Microelectrode Arrays for in vitro Localized Stimulation and Spatial Mapping of Neural Activities

    E-Print Network [OSTI]

    Tang, Yujie

    2012-01-01

    in elasmobranch cerebellum. Brain Research. 199:113– Zadorin extracellular space deep in brain. The FASEB journal?:perfusion system for thick brain slice cultures. Biomedical

  6. Resting and Task-Modulated High-Frequency Brain Rhythms Measured by Scalp Encephalography in Infants with Tuberous Sclerosis Complex

    E-Print Network [OSTI]

    2015-01-01

    in tuberous sclerosis complex. Brain, 125(Pt6), 1247–1255.A. (2011). Mapping infant brain myelination with magneticduring face processing. Brain, 131, 1000–1012. Major, P. ,

  7. Brain-derived neurotrophic factor restores synaptic plasticity in a knock-in mouse model of Huntington's disease.

    E-Print Network [OSTI]

    2007-01-01

    term potentiation by brain-derived neurotrophic factor. JNeurobiology of Disease Brain-Derived Neurotrophic Factorbe rescued with brain-derived neurotrophic factor (BDNF).

  8. Brain-derived neurotrophic factor promotes long-term potentiation-related cytoskeletal changes in adult hippocampus.

    E-Print Network [OSTI]

    Rex, Christopher S; Lin, Ching-Yi; Kramár, Eniko A; Chen, Lulu Y; Gall, Christine M; Lynch, Gary

    2007-01-01

    RC, Nicoll RA (1998) Brain-derived neurotrophic fac- tor (term potentiation by brain-derived neurotrophic factor. JSystems/Cognitive Brain-Derived Neurotrophic Factor Promotes

  9. Chaotic physics in ferroelectrics hints at brain-like computing...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Morgan McCorkle Oak Ridge National Laboratory 865-574-7308 Chaotic physics in ferroelectrics hints at brain-like computing Unexpected behavior in ferroelectric materials explored...

  10. Genetic associations with brain cortical thickness in multiple sclerosis

    E-Print Network [OSTI]

    2015-01-01

    Weinshenker, B.G. (2000) Multiple sclerosis. N Engl J Medcorrelations in multiple sclerosis: HLA genes in?uencecerebral cortex in multiple sclerosis. Brain 126, Shannon,

  11. Algorithms for enhanced spatiotemporal imaging of human brain function

    E-Print Network [OSTI]

    Krishnaswamy, Pavitra

    2014-01-01

    Studies of human brain function require technologies to non-invasively image neuronal dynamics with high spatiotemporal resolution. The electroencephalogram (EEG) and magnetoencephalogram (MEG) measure neuronal activity ...

  12. MASSACHUSETTS INSTITUTE OF TECHNOLOGY BRAIN AND COGNITIVE SCIENCES DEPARTMENT

    E-Print Network [OSTI]

    Ratté, Sylvie

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY BRAIN AND COGNITIVE SCIENCES DEPARTMENT BCS Memo June 1994) , and Pustejovsky (1991b) among others) without having to incorporate these situational categories in our

  13. Analogues between tuning TCP for Data Acquisition and Datacenter Networks

    E-Print Network [OSTI]

    Jereczek, G; Malone, D

    2015-01-01

    A many-to-one communication pattern is present both in Data Acquisition (DAQ) and datacenter networks. The problem arising from this pattern is widely known in the literature as incast and can be observed as TCP throughput collapse. It is a result of overloading the switch buffers, when a specific node in a network requests data from multiple sources. This paper provides two contributions. First, we confirm that there are strong analogies between the TCP behavior in DAQ and datacenter networks. Second, we evaluate different proposals from datacenter for application in DAQ to improve performance and reduce buffer requirements.

  14. Beneficial role of noise in artificial neural networks

    SciTech Connect (OSTI)

    Monterola, Christopher; Saloma, Caesar; Zapotocky, Martin

    2008-06-18

    We demonstrate enhancement of neural networks efficacy to recognize frequency encoded signals and/or to categorize spatial patterns of neural activity as a result of noise addition. For temporal information recovery, noise directly added to the receiving neurons allow instantaneous improvement of signal-to-noise ratio [Monterola and Saloma, Phys. Rev. Lett. 2002]. For spatial patterns however, recurrence is necessary to extend and homogenize the operating range of a feed-forward neural network [Monterola and Zapotocky, Phys. Rev. E 2005]. Finally, using the size of the basin of attraction of the networks learned patterns (dynamical fixed points), a procedure for estimating the optimal noise is demonstrated.

  15. On Benefits of Network Coding in Bidirected Networks and Hyper-networks

    E-Print Network [OSTI]

    Li, Zongpeng

    . It was shown that network coding helps increase the throughput and reduce the cost of data transmission to study the coding advantage in two types of parameterized networks, with richer modeling power. The firstOn Benefits of Network Coding in Bidirected Networks and Hyper-networks Xunrui Yin, Xin Wang, Jin

  16. Brain Receptor Structures Key to Future Therapeutics

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura|BilayerBiomimeticBooksFormerTaubmanBrain Receptor

  17. Brain Receptor Structures Key to Future Therapeutics

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits &Bradbury Science Museum - Science on Wheels26BradleyBrain

  18. Visualizing Brain Metals in Health and Disease

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A CountyFeet) CooleyVisitorVisualizing Brain

  19. Whole Brain Irradiation With Hippocampal Sparing and Dose Escalation on Multiple Brain Metastases: A Planning Study on Treatment Concepts

    SciTech Connect (OSTI)

    Prokic, Vesna; Wiedenmann, Nicole; Fels, Franziska; Schmucker, Marianne; Nieder, Carsten; Institute of Clinical Medicine, Faculty of Health Sciences, University of Tromso, Tromso ; Grosu, Anca-Ligia

    2013-01-01

    Purpose: To develop a new treatment planning strategy in patients with multiple brain metastases. The goal was to perform whole brain irradiation (WBI) with hippocampal sparing and dose escalation on multiple brain metastases. Two treatment concepts were investigated: simultaneously integrated boost (SIB) and WBI followed by stereotactic fractionated radiation therapy sequential concept (SC). Methods and Materials: Treatment plans for both concepts were calculated for 10 patients with 2-8 brain metastases using volumetric modulated arc therapy. In the SIB concept, the prescribed dose was 30 Gy in 12 fractions to the whole brain and 51 Gy in 12 fractions to individual brain metastases. In the SC concept, the prescription was 30 Gy in 12 fractions to the whole brain followed by 18 Gy in 2 fractions to brain metastases. All plans were optimized for dose coverage of whole brain and lesions, simultaneously minimizing dose to the hippocampus. The treatment plans were evaluated on target coverage, homogeneity, and minimal dose to the hippocampus and organs at risk. Results: The SIB concept enabled more successful sparing of the hippocampus; the mean dose to the hippocampus was 7.55 {+-} 0.62 Gy and 6.29 {+-} 0.62 Gy, respectively, when 5-mm and 10-mm avoidance regions around the hippocampus were used, normalized to 2-Gy fractions. In the SC concept, the mean dose to hippocampus was 9.8 {+-} 1.75 Gy. The mean dose to the whole brain (excluding metastases) was 33.2 {+-} 0.7 Gy and 32.7 {+-} 0.96 Gy, respectively, in the SIB concept, for 5-mm and 10-mm hippocampus avoidance regions, and 37.23 {+-} 1.42 Gy in SC. Conclusions: Both concepts, SIB and SC, were able to achieve adequate whole brain coverage and radiosurgery-equivalent dose distributions to individual brain metastases. The SIB technique achieved better sparing of the hippocampus, especially when a10-mm hippocampal avoidance region was used.

  20. Regulation of brain copper homeostasis by the brain barrier systems: Effects of Fe-overload and Fe-deficiency

    SciTech Connect (OSTI)

    Monnot, Andrew D.; Behl, Mamta; Ho, Sanna; Zheng, Wei

    2011-11-15

    Maintaining brain Cu homeostasis is vital for normal brain function. The role of systemic Fe deficiency (FeD) or overload (FeO) due to metabolic diseases or environmental insults in Cu homeostasis in the cerebrospinal fluid (CSF) and brain tissues remains unknown. This study was designed to investigate how blood-brain barrier (BBB) and blood-SCF barrier (BCB) regulated Cu transport and how FeO or FeD altered brain Cu homeostasis. Rats received an Fe-enriched or Fe-depleted diet for 4 weeks. FeD and FeO treatment resulted in a significant increase (+ 55%) and decrease (- 56%) in CSF Cu levels (p < 0.05), respectively; however, neither treatment had any effect on CSF Fe levels. The FeD, but not FeO, led to significant increases in Cu levels in brain parenchyma and the choroid plexus. In situ brain perfusion studies demonstrated that the rate of Cu transport into the brain parenchyma was significantly faster in FeD rats (+ 92%) and significantly slower (- 53%) in FeO rats than in controls. In vitro two chamber Transwell transepithelial transport studies using primary choroidal epithelial cells revealed a predominant efflux of Cu from the CSF to blood compartment by the BCB. Further ventriculo-cisternal perfusion studies showed that Cu clearance by the choroid plexus in FeD animals was significantly greater than control (p < 0.05). Taken together, our results demonstrate that both the BBB and BCB contribute to maintain a stable Cu homeostasis in the brain and CSF. Cu appears to enter the brain primarily via the BBB and is subsequently removed from the CSF by the BCB. FeD has a more profound effect on brain Cu levels than FeO. FeD increases Cu transport at the brain barriers and prompts Cu overload in the CNS. The BCB plays a key role in removing the excess Cu from the CSF.

  1. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01

    Forensics Analysis of Packet Losses in Wireless Networks 2.1Neighbor Discovery in 60 GHz Indoor Wireless Networks 4.1in Wireless Networks . . . . . . . . . . . . . 4.2.4

  2. Enhancing network robustness via shielding

    E-Print Network [OSTI]

    Zhang, Jianan, S.M. Massachusetts Institute of Technology

    2014-01-01

    Shielding critical links enhances network robustness and provides a new way of designing robust networks. We first consider shielding critical links to guarantee network connectivity after any failure under geographical ...

  3. What Is the Optimal Treatment of Large Brain Metastases? An Argument for a Multidisciplinary Approach

    SciTech Connect (OSTI)

    Choi, Clara Y.H.; Chang, Steven D.; Gibbs, Iris C.; Adler, John R.; Harsh, Griffith R.; Atalar, Banu; Lieberson, Robert E.; Soltys, Scott G.

    2012-11-01

    Purpose: Single-modality treatment of large brain metastases (>2 cm) with whole-brain irradiation, stereotactic radiosurgery (SRS) alone, or surgery alone is not effective, with local failure (LF) rates of 50% to 90%. Our goal was to improve local control (LC) by using multimodality therapy of surgery and adjuvant SRS targeting the resection cavity. Patients and Methods: We retrospectively evaluated 97 patients with brain metastases >2 cm in diameter treated with surgery and cavity SRS. Local and distant brain failure (DF) rates were analyzed with competing risk analysis, with death as a competing risk. The overall survival rate was calculated by the Kaplain-Meier product-limit method. Results: The median imaging follow-up duration for all patients was 10 months (range, 1-80 months). The 12-month cumulative incidence rates of LF, with death as a competing risk, were 9.3% (95% confidence interval [CI], 4.5%-16.1%), and the median time to LF was 6 months (range, 3-17 months). The 12-month cumulative incidence rate of DF, with death as a competing risk, was 53% (95% CI, 43%-63%). The median survival time for all patients was 15.6 months. The median survival times for recursive partitioning analysis classes 1, 2, and 3 were 33.8, 13.7, and 9.0 months, respectively (p = 0.022). On multivariate analysis, Karnofsky Performance Status ({>=}80 vs. <80; hazard ratio 0.54; 95% CI 0.31-0.94; p = 0.029) and maximum preoperative tumor diameter (hazard ratio 1.41; 95% CI 1.08-1.85; p = 0.013) were associated with survival. Five patients (5%) required intervention for Common Terminology Criteria for Adverse Events v4.02 grade 2 and 3 toxicity. Conclusion: Surgery and adjuvant resection cavity SRS yields excellent LC of large brain metastases. Compared with other multimodality treatment options, this approach allows patients to avoid or delay whole-brain irradiation without compromising LC.

  4. Gamma Knife Stereotactic Radiosurgery as Salvage Therapy After Failure of Whole-Brain Radiotherapy in Patients With Small-Cell Lung Cancer

    SciTech Connect (OSTI)

    Harris, Sunit; Chan, Michael D.; Lovato, James F.; Ellis, Thomas L.; Tatter, Stephen B.; Bourland, J. Daniel; Munley, Michael T.; Guzman, Allan F. de; Shaw, Edward G.; Urbanic, James J.; McMullen, Kevin P.

    2012-05-01

    Purpose: Radiosurgery has been successfully used in selected cases to avoid repeat whole-brain irradiation (WBI) in patients with multiple brain metastases of most solid tumor histological findings. Few data are available for the use of radiosurgery for small-cell lung cancer (SCLC). Methods and Materials: Between November 1999 and June 2009, 51 patients with SCLC and previous WBI and new brain metastases were treated with GammaKnife stereotactic radiosurgery (GKSRS). A median dose of 18 Gy (range, 10-24 Gy) was prescribed to the margin of each metastasis. Patients were followed with serial imaging. Patient electronic records were reviewed to determine disease-related factors and clinical outcomes after GKSRS. Local and distant brain failure rates, overall survival, and likelihood of neurologic death were determined based on imaging results. The Kaplan-Meier method was used to determine survival and local and distant brain control. Cox proportional hazard regression was performed to determine strength of association between disease-related factors and survival. Results: Median survival time for the entire cohort was 5.9 months. Local control rates at 1 and 2 years were 57% and 34%, respectively. Distant brain failure rates at 1 and 2 years were 58% and 75%, respectively. Fifty-three percent of patients ultimately died of neurologic death. On multivariate analysis, patients with stable (hazard ratio [HR] = 2.89) or progressive (HR = 6.98) extracranial disease (ECD) had worse overall survival than patients without evidence of ECD (p = 0.00002). Concurrent chemotherapy improved local control (HR = 89; p = 0.006). Conclusions: GKSRS represents a feasible salvage option in patients with SCLC and brain metastases for whom previous WBI has failed. The status of patients' ECD is a dominant factor predictive of overall survival. Local control may be inferior to that seen with other cancer histological results, although the use of concurrent chemotherapy may help to improve this.

  5. Incidence of Leukoencephalopathy After Whole-Brain Radiation Therapy for Brain Metastases

    SciTech Connect (OSTI)

    Ebi, Junko; Sato, Hisashi; Nakajima, Masaru; Shishido, Fumio

    2013-04-01

    Purpose: To evaluate the incidence of leukoencephalopathy after whole-brain radiation therapy (WBRT) in patients with brain metastases. Methods and Materials: We retrospectively reviewed 111 patients who underwent WBRT for brain metastases from April 2001 through March 2008 and had evaluable computed tomography (CT) and/or magnetic resonance imaging (MRI) at least 1 month after completion of WBRT. We evaluated the leukoencephalopathy according to the Common Terminology Criteria for Adverse Events, version 3.0. The patients who had brain tumor recurrence after WBRT were censored at the last follow-up CT or MRI without recurrence. To evaluate the risk factors for leukoencephalopathy, bivariate analysis was performed using a logistic regression analysis adjusted for follow-up time. Factors included in the analysis were age, gender, dose fractionation, 5-fluorouracil, methotrexate, cisplatin, and other chemotherapeutic agents. Results: The median age of the 111 patients was 60.0 years (range, 23-89 years). The median follow-up was 3.8 months (range, 1.0-38.1 months). Leukoencephalopathy developed in 23 of the 111 patients. Grades 1, 2, and 3 were observed in 8, 7, and 8 patients, respectively. The incidence was 34.4% (11 of 32), 42.9% (6 of 14), 66.7% (2 of 3), and 100% (2 of 2) of the patients who were followed up for ?6, ?12, ?24, and ?36 months, respectively. In the bivariate analysis, older age (?65 years) was significantly correlated with higher risk of leukoencephalopathy (odds ratio 3.31; 95% confidence interval 1.15-9.50; P=.03). Conclusions: The incidence of leukoencephalopathy after WBRT was 34.4% with ?6 months follow-up, and increased with longer follow-up. Older age was a significant risk factor. The schedule of WBRT for patients with brain metastases should be carefully determined, especially for favorable patients.

  6. Deep Lambertian Networks Introduction

    E-Print Network [OSTI]

    Toronto, University of

    Deep Lambertian Networks Introduction Learns distributions over 3D object shapes from sets of 2D-shot recognition possible Uses multiplicative interactions to approximate the Lambertian reflectance model Deep 30 50 Experiments Deep Lambertian Networks Inference Samples from albedo DBN Face Relighting Simple

  7. Miniaturized wireless sensor network

    E-Print Network [OSTI]

    Lecointre, Aubin; Dubuc, David; Katia, Grenier; Patrick, Pons; Aubert, Hervé; Muller, A; Berthou, Pascal; Gayraud, Thierry; Plana, Robert

    2010-01-01

    This paper addresses an overview of the wireless sensor networks. It is shown that MEMS/NEMS technologies and SIP concept are well suited for advanced architectures. It is also shown analog architectures have to be compatible with digital signal techniques to develop smart network of microsystem.

  8. Train Your Brain Math Club Train Your Brain Math Club meets on Fridays at 4:20-5:20pm. The aim is to teach high

    E-Print Network [OSTI]

    Blokh, Alexander

    Train Your Brain Math Club Train Your Brain Math Club meets on Fridays at 4:20-5:20pm. The aim in joining Train Your Brain Math Club should call UAB Special Studies at (205)934-8263 and mention Train Your Brain Math Club. Contact information: Dr A. Blokh, Coordinator of Outreach Program Department

  9. Water Network Design by MINLP

    E-Print Network [OSTI]

    2008-02-12

    We propose a solution method for a water-network optimization problem using a ... The optimal design of a WDN (Water Distribution Network) consists, in its ...

  10. Software Defined Networking (SDN) Project

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Networking (SDN) Project Energy sector-focused SDN flow controller to manage control system networks centrally and securely Background Traditional information technology (IT)...

  11. Siphons in Chemical Reaction Networks

    E-Print Network [OSTI]

    Shiu, Anne; Sturmfels, Bernd

    2010-01-01

    strongly-connected chemical reaction, and the compu- tationcredited. Siphons in Chemical Reaction Networks Referencesto persistence analysis in chemical reaction networks. In:

  12. The Future of Network Neutrality

    E-Print Network [OSTI]

    Guttentag, Mikhail

    2009-01-01

    November 3, 2007). Print. The Future of Network Neutralityappeali.html>. The Future of Network Neutrality 19 ———. "Books, 2006. Print. ———. The Future of Ideas. New York, NY:

  13. Wireless Networking | ornl.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wireless Networking A PDF version of these instructions is also available. As a visitor to Oak Ridge National Laboratory (ORNL), access to the ORNL wireless network is available...

  14. Fault localization in backbone networks

    E-Print Network [OSTI]

    Kompella, Ramana Rao

    2007-01-01

    imperfections stem from inherent churn in the network andtrack the network and therefore exhibit churn. The IPFLdriven, and copes with churn by reloading multiple times

  15. Towards Full-disclosure: Broadening Access to SCADA Data to Improve Safety, Reliability, and Security

    E-Print Network [OSTI]

    Heidemann, John

    Towards Full-disclosure: Broadening Access to SCADA Data to Improve Safety, Reliability is that openness and support for disclosure of future SCADA data can in improved safety, reliability, and security-network processing are needed to make greater openness and data sharing data viable. Today's SCADA systems are often

  16. Collective network routing

    DOE Patents [OSTI]

    Hoenicke, Dirk

    2014-12-02

    Disclosed are a unified method and apparatus to classify, route, and process injected data packets into a network so as to belong to a plurality of logical networks, each implementing a specific flow of data on top of a common physical network. The method allows to locally identify collectives of packets for local processing, such as the computation of the sum, difference, maximum, minimum, or other logical operations among the identified packet collective. Packets are injected together with a class-attribute and an opcode attribute. Network routers, employing the described method, use the packet attributes to look-up the class-specific route information from a local route table, which contains the local incoming and outgoing directions as part of the specifically implemented global data flow of the particular virtual network.

  17. Improving Stormwater Quality 

    E-Print Network [OSTI]

    Garcia, Raul

    2005-01-01

    stream_source_info Improving Stormwater Quality.pdf.txt stream_content_type text/plain stream_size 5574 Content-Encoding ISO-8859-1 stream_name Improving Stormwater Quality.pdf.txt Content-Type text/plain; charset=ISO-8859...-1 Stormwater QualityStory by Raul L. Garcia tx H2O | pg. 18 The City of Houston, Harris County, theHarris County Flood Control District and the Texas Department of Transportation have teamed up through a Joint Task Force (JTF) to address Houston...

  18. Growth hormone responsive neural precursor cells reside within the adult mammalian brain

    E-Print Network [OSTI]

    2012-01-01

    within the adult mammalian brain. Sci. Rep. 2, 250; DOI:of neurons from adult brain stem cells during recovery afterin the adult mammalian brain. J Neurosci 17, 5046–5061 (

  19. Nonlinear brain dynamics as macroscopic manifestation of underlying many-body field dynamics

    E-Print Network [OSTI]

    Freeman, Walter J III; Vitiello, G

    2006-01-01

    and should be done next. Brain dynamics and many-body fielddissipative quantum model of brain. Int J Mod Phys B14: 853-Neurotransmission and Late Brain Reorganization. New York:

  20. Brain development in Chinese children and adolescents: a structural MRI study

    E-Print Network [OSTI]

    Guo, X; Chen, C; Chen, K; Jin, Z; Peng, D; Yao, L

    2007-01-01

    J, Filipek PA. The human brain age 7–11 years: a volumetricHS, Ross JL, Denckla MB. Brain development, gender and IQ ina volumetric imaging study. Brain 1996; 119:1763–1774. 3.

  1. Memory, brain and aging: The good, the bad and the promising

    E-Print Network [OSTI]

    Ober, Beth A.

    2010-01-01

    in the healthy aging brain. Neu- ropsychology 23(5):541–50.Development in the Adult Brain. New York, NY: Oxford Univinfluences on cognitive and brain plasticity during aging. J

  2. Global Brain Gene Expression Analysis Links Glutamatergic and GABAergic Alterations to Suicide and Major Depression

    E-Print Network [OSTI]

    2009-01-01

    SJ, Horton RW (1988) Brain GABAA/benzodiazepine bindingin depressed suicide victims. Brain Res 460: 114–123. 18.labelled with [3H]MK-801, in brain samples from drug-free

  3. Brain-computer interface controlled functional electrical stimulation system for ankle movement.

    E-Print Network [OSTI]

    Do, An H; Wang, Po T; King, Christine E; Abiri, Ahmad; Nenadic, Zoran

    2011-01-01

    N: Breaking the silence: Brain-computer interfaces (BCI) forsignal by a noninvasive brain-computer interface in humans.E: A novel P300-based brain- computer interface stimulus

  4. Is Serum Brain-Derived NeurotrophicFactor a Biomarker for Cognitive Enhancementin Schizophrenia?

    E-Print Network [OSTI]

    Vinogradov, Sophia

    2009-01-01

    S, Jones KR (2003): Brain-derived neuro- trophic factor ischemical study of brain-derived neurotrophic factor and itsP, et al. (2001): Brain-derived neurotrophic factor and

  5. Computational Inference of Neural Information Flow Networks

    E-Print Network [OSTI]

    Jarvis, Erich D.

    helicopter. In the case of the brain, such direct observation is considerably more difficult, requiring

  6. Gas Main Sensor and Communications Network System

    SciTech Connect (OSTI)

    Hagen Schempf

    2006-05-31

    Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the Northeast Gas Association (NGA), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. This projected was completed in April 2006, and culminated in the installation of more than 2 dozen GasNet nodes in both low- and high-pressure cast-iron and steel mains owned by multiple utilities in the northeastern US. Utilities are currently logging data (off-line) and monitoring data in real time from single and multiple networked sensors over cellular networks and collecting data using wireless bluetooth PDA systems. The system was designed to be modular, using in-pipe sensor-wands capable of measuring, flow, pressure, temperature, water-content and vibration. Internal antennae allowed for the use of the pipe-internals as a waveguide for setting up a sensor network to collect data from multiple nodes simultaneously. Sensor nodes were designed to be installed with low- and no-blow techniques and tools. Using a multi-drop bus technique with a custom protocol, all electronics were designed to be buriable and allow for on-board data-collection (SD-card), wireless relaying and cellular network forwarding. Installation options afforded by the design included direct-burial and external polemounted variants. Power was provided by one or more batteries, direct AC-power (Class I Div.2) and solar-array. The utilities are currently in a data-collection phase and intend to use the collected (and processed) data to make capital improvement decisions, compare it to Stoner model predictions and evaluate the use of such a system for future expansion, technology-improvement and commercialization starting later in 2006.

  7. Towards Neurofeedback Training of Associative Brain Areas for Stroke Rehabilitation

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    Towards Neurofeedback Training of Associative Brain Areas for Stroke Rehabilitation Ozan ¨Ozdenizci rehabilitation beyond sensorimotor-rhythms to also include associative brain areas. In particular, we argue to enhance post-stroke motor rehabilitation. We propose an adaptive neu- rofeedback paradigm for this purpose

  8. Towards Brain-Robot Interfaces in Stroke Rehabilitation

    E-Print Network [OSTI]

    Towards Brain-Robot Interfaces in Stroke Rehabilitation M. Gomez-Rodriguez, M. Grosse-Wentrup, J rehabilitation methods for patients with severe motor impairment due to cerebrovascular brain damage (e of a robot-based rehabilitation framework that enables artificial support of the sensorimotor feedback loop

  9. Monte Carlo simulation of quantum Zeno effect in the brain

    E-Print Network [OSTI]

    Danko Georgiev

    2014-12-11

    Environmental decoherence appears to be the biggest obstacle for successful construction of quantum mind theories. Nevertheless, the quantum physicist Henry Stapp promoted the view that the mind could utilize quantum Zeno effect to influence brain dynamics and that the efficacy of such mental efforts would not be undermined by environmental decoherence of the brain. To address the physical plausibility of Stapp's claim, we modeled the brain using quantum tunneling of an electron in a multiple-well structure such as the voltage sensor in neuronal ion channels and performed Monte Carlo simulations of quantum Zeno effect exerted by the mind upon the brain in the presence or absence of environmental decoherence. The simulations unambiguously showed that the quantum Zeno effect breaks down for timescales greater than the brain decoherence time. To generalize the Monte Carlo simulation results for any n-level quantum system, we further analyzed the change of brain entropy due to the mind probing actions and proved a theorem according to which local projections cannot decrease the von Neumann entropy of the unconditional brain density matrix. The latter theorem establishes that Stapp's model is physically implausible but leaves a door open for future development of quantum mind theories provided the brain has a decoherence-free subspace.

  10. Tissue Classification of Noisy MR Brain Images Using Constrained GMM

    E-Print Network [OSTI]

    Goldberger, Jacob

    Tissue Classification of Noisy MR Brain Images Using Constrained GMM Amit Ruf1 , Hayit Greenspan1. The presented algorithm is used to segment 3D, T1­weighted, simulated and real MR images of the brain into three , and Jacob Goldberger2 1 Department of Biomedical Engineering, Tel-Aviv University, ISRAEL, 2 School

  11. Discriminative, Semantic Segmentation of Brain Tissue in MR Images

    E-Print Network [OSTI]

    Soatto, Stefano

    Discriminative, Semantic Segmentation of Brain Tissue in MR Images Zhao Yi1 , Antonio Criminisi2 , Jamie Shotton2 , and Andrew Blake2 1 University of California, Los Angeles, USA. zyi@ucla.edu. 2 is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses

  12. Event-Related Brain Potentials (ERPs) Elicited by Novel Stimuli

    E-Print Network [OSTI]

    Kutas, Marta

    Event-Related Brain Potentials (ERPs) Elicited by Novel Stimuli during SentenceProcessing" MARTA at San Diego La Jolla, California 92093 Event-related brain potentials (ERPs) have proven reviews see Donchin et al., 1978; Picton et al., 1979). One of the more prominent of these ERPs following

  13. THE FUTURE IN BRAIN/NEURAL-COMPUTER INTERACTION

    E-Print Network [OSTI]

    Theune, Mariët

    THE FUTURE IN BRAIN/NEURAL-COMPUTER INTERACTION: HORIZON 2020 Roadmap #12;ISBN 978-3-85125-379-5 DOI 10.3217/978-3-85125-379-5 © 2015 Graz University of Technology This roadmap and its appendix can #12;THE FUTURE IN BRAIN/NEURAL-COMPUTER INTERACTION: HORIZON 2020 Roadmap #12;© Kurhan - Fotolia.com 4

  14. LUABAB: Leeds University Angry Birds Artificial Brain Brandon Bennett

    E-Print Network [OSTI]

    Bennett, Brandon

    LUABAB: Leeds University Angry Birds Artificial Brain Brandon Bennett University of Leeds United Kingdom B.Bennett@leeds.ac.uk Abstract This document gives an overview of the develop- ment and design principles behind LUABAB, the Leeds University Angry Birds Artificial Brain. 1 Background There is a long

  15. Communication Technologies Based on Brain Avid Roman Gonzalez

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Communication Technologies Based on Brain Activity Avid Roman Gonzalez TELECOM ParisTech 75013 to acquire electroencephalogram signals of brain activity, to process and interpret them to take appropriate tomography (PET), magnetoencephalography (MEG), functional MRI (fMRI), but these signals are not practical

  16. Mental Vitality 1 Walter J Freeman Brain Training.

    E-Print Network [OSTI]

    Freeman, Walter J.

    Mental Vitality 1 Walter J Freeman Brain Training. Lifelong schooling and education for mental vitality and physical health: Four major transitions. Walter J Freeman Division of Neurobiology, LSA 129 understanding of the social origins and destinies of brains, by #12;Mental Vitality 2 Walter J Freeman which

  17. Insight in the Brain: The Cognitive and Neural Bases of Eureka Moments

    SciTech Connect (OSTI)

    Beeman, Mark

    2013-04-03

    Where do new ideas come from? Although all new ideas build on old, this can happen in different ways. Some new ideas, or solutions to old problems, are achieved through methodical, analytical processing. Other new ideas come about in a sudden burst of insight, often based on or generating a restructured view of the problem itself. Behavioral, brain imaging, and eye-tracking results all reveal distinct cortical networks contributing to insight solving, as contrasted with analytic solving. Consistently, the way in which people solve problems appears to relate to the way they engage attention and cognitive control: across time, across moods, and across individuals. Insight is favored when people can disengage from strong stimuli and associations - figuratively and literally looking "outside the box" of the problem to suddenly solve with a new idea.

  18. Comparative analysis of collaboration networks

    SciTech Connect (OSTI)

    Progulova, Tatiana; Gadjiev, Bahruz [International University for Nature, Society and Man, 19 Universitetskaya Street, Dubna, 141980 (Russian Federation)

    2011-03-14

    In this paper we carry out a comparative analysis of the word network as the collaboration network based on the novel by M. Bulgakov 'Master and Margarita', the synonym network of the Russian language as well as the Russian movie actor network. We have constructed one-mode projections of these networks, defined degree distributions for them and have calculated main characteristics. In the paper a generation algorithm of collaboration networks has been offered which allows one to generate networks statistically equivalent to the studied ones. It lets us reveal a structural correlation between word network, synonym network and movie actor network. We show that the degree distributions of all analyzable networks are described by the distribution of q-type.

  19. Improved vortex reactor system

    DOE Patents [OSTI]

    Diebold, James P. (Lakewood, CO); Scahill, John W. (Evergreen, CO)

    1995-01-01

    An improved vortex reactor system for affecting fast pyrolysis of biomass and Refuse Derived Fuel (RDF) feed materials comprising: a vortex reactor having its axis vertically disposed in relation to a jet of a horizontally disposed steam ejector that impels feed materials from a feeder and solids from a recycle loop along with a motive gas into a top part of said reactor.

  20. THE UK'S INNOVATION NETWORK KNOWLEDGE TRANSFER NETWORK

    E-Print Network [OSTI]

    ­ Support available from the Innovation Network Brian J. McCarthy ­ Knowledge Transfer Manager ­ Materials, entrepreneurs, academics and funders to develop new products and services. We help business to grow the economy people together `to make magic happen' 6,000+ Delegates per year #12;PAGE6 The KTN Structure · Materials

  1. Reliable low latency I/O in torus-based interconnection networks 

    E-Print Network [OSTI]

    Azeez, Babatunde

    2007-04-25

    In today's high performance computing environment I/O remains the main bottleneck in achieving the optimal performance expected of the ever improving processor and memory technologies. Interconnection networks therefore ...

  2. Airblue : a highly-configurable FPGA-based platform for wireless network research

    E-Print Network [OSTI]

    Ng, Man Cheuk, 1980-

    2011-01-01

    Over the past few years, researchers have developed many cross-layer wireless protocols to improve the performance of wireless networks. Experimental evaluations of these protocols require both high-speed simulations and ...

  3. Energy efficiency heterogeneous wireless communication network with QoS support 

    E-Print Network [OSTI]

    Hou, Ying

    2013-07-01

    The overarching goal of this thesis is to investigate network architectures, and find the trade-off between low overall energy use and maintaining the level of quality of service (QoS), or even improve it. The ubiquitous ...

  4. Network adaptation techniques to enhance efficiency and quality of wireless multimedia transmissions

    E-Print Network [OSTI]

    Ramos, Naomi Ann Suba

    2007-01-01

    Balakrishnan, “Minimizing energy for wireless web ac- cessRao, “Improving energy saving in wireless systems by usingChallenges of Wireless Multimedia Networks 1.1.1. Energy

  5. Control of real-time multimedia applications in best-effort networks 

    E-Print Network [OSTI]

    Ye, Dan

    2009-05-15

    The increasing demand for real-time multimedia applications and the lack of quality of service (QoS) support in public best-effort or Internet Protocol (IP) networks has prompted many researchers to propose improvements ...

  6. Assembling regions for efficacious aggregate query processing in wireless sensor networks

    E-Print Network [OSTI]

    Fertis, Apostolos

    2005-01-01

    The field of sensor networks is rapidly developing enabling us to deploy them to an unpredictable environment and draw diverse and interesting information from it. Their capabilities are improving. They can sense complicated ...

  7. Diff-Max: Separation of routing and scheduling in backpressure-based wireless networks

    E-Print Network [OSTI]

    Seferoglu, Hulya

    Backpressure routing and scheduling, with throughput-optimal operation guarantee, is a promising technique to improve throughput in wireless multi-hop networks. Although backpressure is conceptually viewed as layered, the ...

  8. Timing Synchronization at the Relay Node in Physical Layer Network Coding 

    E-Print Network [OSTI]

    Basireddy, Ashish

    2012-07-16

    In recent times, there has been an increased focus on the problem of information exchange between two nodes using a relay node. The introduction of physical layer network coding has improved the throughput efficiency of ...

  9. Deep Belief Networks The New Generation of Neural Networks1

    E-Print Network [OSTI]

    Hernández Lobato, José Miguel

    Deep Belief Networks The New Generation of Neural Networks1 Jos´e Miguel Hern´andez Lobato This presentation is mainly based on the work by Geoffrey E. Hinton. 1 / 28 #12;Deep Belief Networks Outline 1 Boltzmann Machines 2 Restricted Boltzmann Machines 3 Deep Belief Networks 4 Applications of Deep Belief

  10. Supervised Learning in Neural Networks without Feedback Networks

    E-Print Network [OSTI]

    Lin, Feng

    Supervised Learning in Neural Networks without Feedback Networks Robert D. Brandt and Feng Lin Abstract In this paper, we study the supervised learning in neural networks. Unlike the com- mon practice (hardware) implementation of arti cial neural networks. This research is supported in part by the National

  11. Network on a Chip: Modeling Wireless Networks with Asynchronous VLSI

    E-Print Network [OSTI]

    Manohar, Rajit

    for Internet-scale networks (for instance, see [2, 3, 5]), as well as the design of flexible and compositionalNetwork on a Chip: Modeling Wireless Networks with Asynchronous VLSI Rajit Manohar and Clinton, Ithaca NY 14853 Abstract We introduce the notion of a network-on-a-chip: a programmable, asynchronous

  12. Byzantine Modification Detection in Multicast Networks with Random Network Coding

    E-Print Network [OSTI]

    Médard, Muriel

    network coding. Each exogenous source packet is augmented with a flexible number of hash symbols of the random network code, and can have the same (or greater) transmission capacity compared to the sourceByzantine Modification Detection in Multicast Networks with Random Network Coding Tracey Ho, Ben

  13. Network Coding-Based Protection Scheme for Elastic Optical Networks

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    speed transmissions achieved in fiber optical networks. Traditional optical networks consist of a fixed. Recently, optical networks are undergoing significant changes with the purpose of providing a flexible grid with protection schemes for the purpose of reducing power consumption. An additional goal for network providers

  14. Introduction to Network Science 1 Introduction to Network Science

    E-Print Network [OSTI]

    Safro, Ilya

    Introduction to Network Science 1 Introduction to Network Science Instructor: Ilya Safro, 228 McAdams Hall Course: Introduction to Network Science, CP SC 481/681/881 Time: 9:30-10:45 TTh Place: 211 Daniel A 80 B 60 C 0 F #12;Introduction to Network Science 2 Recommended Books (optional) #12;Introduction

  15. Network Dynamics of City Sizes, Trade Networks, and Conflict

    E-Print Network [OSTI]

    White, Douglas R.

    Network Dynamics of City Sizes, Trade Networks, and Conflict Doug White In collaboration world, scale-free ­ but they are not going to get us where we need to go What are the possibilites: city size hierarchies and how they are likely to be driven by trade networks Network realism

  16. Shifts of Effective Connectivity within a Language Network during Rhyming and Spelling

    E-Print Network [OSTI]

    Bitan, Tali; Booth, James R.; Choy, Janet; Burman, Douglas D.; Gitelman, Darren R.; Mesulam, M. Marsel

    2005-06-01

    , as conceptualized by the models of Damasio (1989) and Mesulam (1981, 1998). Two studies that examined effective connectivity among brain regions in language tasks (Bullmore et al., 2000; Mechelli et al., 2002) included the left fusiform gyrus (FG) as the sensory... regions were included in the network: the FG, the inferior frontal gyrus (IFG), the cortex of the intraparietal sulcus (IPS), and the middle portion of lateral temporal cortex (LTC). We examined task-specific shifts in the effective connectivity us...

  17. CDC's National Environmental Public Health Tracking Network NEW HAMPSHIRE Keeping Track, Promoting Health

    E-Print Network [OSTI]

    CS225774_W CDC's National Environmental Public Health Tracking Network NEW HAMPSHIRE Keeping Track their networks every day to improve the health of their communities. Why Tracking Matters in New Hampshire New, and climate change threaten the enjoyment of these natural resources. They are also a threat to New Hampshire

  18. Active I/O Switches in System Area Networks Computer Systems Laboratory

    E-Print Network [OSTI]

    Heinrich, Mark

    Active I/O Switches in System Area Networks Ming Hao Computer Systems Laboratory Cornell University, FL 32816 heinrich@cs.ucf.edu Abstract We present an active switch architecture to improve the performance of systems connected via system area networks. Our programmable active switches not only flexibly

  19. CDC's National Environmental Public Health Tracking Network MAINE Keeping Track, Promoting Health

    E-Print Network [OSTI]

    CS225774_E CDC's National Environmental Public Health Tracking Network MAINE Keeping Track their networks every day to improve the health of their communities. Why Tracking Matters in Maine Since joining CDC's Tracking Program, Maine has greatly expanded its ability to monitor environmental health issues

  20. CDC's National Environmental Public Health Tracking Network SOUTH CAROLINA Keeping Track, Promoting Health

    E-Print Network [OSTI]

    CS225774_C CDC's National Environmental Public Health Tracking Network SOUTH CAROLINA Keeping Track their networks every day to improve the health of their communities. Why Tracking Matters in South Carolina In August of 2009, South Carolina became one of six additional states awarded CDC funding to build a local