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21.
Estrogen may have differing effects on 'anxiety' responses under different conditions. The current study tested the effects of estrogen on anxiety-like behavior when administered for 6-7 days in ovariectomized (OVX) female rats. Two animal paradigms were utilized; the elevated plus maze (EPM), measuring changes in innate fear of exploration of open spaces; and the social interaction test (SIT), measuring the exploration of a novel, same gender partner. In the EPM, estradiol-treated OVX females both entered and spent more time in the open arms than control OVX females, indicating an anxiolytic-like action of estradiol. In contrast, estradiol treated OVX females interacted less with the partner animal in the SIT compared with controls suggesting anxiogenic-like effects. The possible anxiogenic effect of estradiol in the SIT is supported by two findings: (1) the effect is reversed by the anxiolytic drug alprazolam and (2) estrogen did not affect locomotion and therefore, the reduced social interaction is not due to reduced activity. Acute administration of progesterone (5 mg/kg), which has anxiolytic properties, did not reverse estradiol-induced social interaction deficits, suggesting that lack of progesterone did not account for estradiol's anxiogenic effects. These results, while seemingly contradictory when interpreted within a unified concept of anxiety, may well reflect the ethological roles of reproductive hormones and their effects on different types of exploratory anxiety. 相似文献
22.
DISC1 localizes to the centrosome by binding to kendrin 总被引:1,自引:0,他引:1
Miyoshi K Asanuma M Miyazaki I Diaz-Corrales FJ Katayama T Tohyama M Ogawa N 《Biochemical and biophysical research communications》2004,317(4):1195-1199
Disrupted-In-Schizophrenia 1 (DISC1) was identified as a novel gene disrupted by a (1;11)(q42.1;q14.3) translocation that segregated with major mental disorders in a Scottish family. Using the yeast two-hybrid system, we screened a human brain cDNA library for interactors of the DISC1 protein. One of the positive clones encoded kendrin/pericentrin-B, a giant protein known to localize specifically to the centrosome. The interaction between DISC1 and kendrin in mammalian cells was demonstrated by an immunoprecipitation assay. Residues 446-533 of DISC1 were essential for the interaction with kendrin. Immunocytochemical analysis revealed the colocalization of DISC1 and kendrin to the centrosome. These data indicate that DISC1 localizes to the centrosome by binding to kendrin. Kendrin has been reported to anchor the gamma-tubulin complex to the centrosome, providing microtubule nucleation sites. The present study suggests the possible involvement of DISC1 in the pathophysiology of mental disorders due to its putative effect on centrosomal function. 相似文献
23.
Sorin EJ Nakatani BJ Rhee YM Jayachandran G Vishal V Pande VS 《Journal of molecular biology》2004,337(4):789-797
Recent studies in protein folding suggest that native state topology plays a dominant role in determining the folding mechanism, yet an analogous statement has not been made for RNA, most likely due to the strong coupling between the ionic environment and conformational energetics that make RNA folding more complex than protein folding. Applying a distributed computing architecture to sample nearly 5000 complete tRNA folding events using a minimalist, atomistic model, we have characterized the role of native topology in tRNA folding dynamics: the simulated bulk folding behavior predicts well the experimentally observed folding mechanism. In contrast, single-molecule folding events display multiple discrete folding transitions and compose a largely diverse, heterogeneous dynamic ensemble. This both supports an emerging view of heterogeneous folding dynamics at the microscopic level and highlights the need for single-molecule experiments and both single-molecule and bulk simulations in interpreting bulk experimental measurements. 相似文献
24.
This paper presents a data management solution which allows fast Virtual Machine (VM) instantiation and efficient run-time
execution to support VMs as execution environments in Grid computing. It is based on novel distributed file system virtualization
techniques and is unique in that: (1) it provides on-demand cross-domain access to VM state for unmodified VM monitors; (2)
it enables private file system channels for VM instantiation by secure tunneling and session-key based authentication; (3)
it supports user-level and write-back disk caches, per-application caching policies and middleware-driven consistency models;
and (4) it leverages application-specific meta-data associated with files to expedite data transfers. The paper reports on
its performance in wide-area setups using VMware-based VMs. Results show that the solution delivers performance over 30% better
than native NFS and with warm caches it can bring the application-perceived overheads below 10% compared to a local-disk setup.
The solution also allows a VM with 1.6 GB virtual disk and 320 MB virtual memory to be cloned within 160 seconds for the first
clone and within 25 seconds for subsequent clones.
Ming Zhao is a PhD candidate in the department of Electrical and Computer Engineering and a member of the Advance Computing and Information
Systems Laboratory, at University of Florida. He received the degrees of BE and ME from Tsinghua University. His research
interests are in the areas of computer architecture, operating systems and distributed computing.
Jian Zhang is a PhD student in the Department of Electrical and Computer Engineering at University of Florida and a member of the Advance
Computing and Information Systems Laboratory (ACIS). Her research interest is in virtual machines and Grid computing. She
is a member of the IEEE and the ACM.
Renato J. Figueiredo received the B.S. and M.S. degrees in Electrical Engineering from the Universidade de Campinas in 1994 and 1995, respectively,
and the Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2001. From 2001 until 2002 he was on
the faculty of the School of Electrical and Computer Engineering of Northwestern University at Evanston, Illinois. In 2002
he joined the Department of Electrical and Computer Engineering of the University of Florida as an Assistant Professor. His
research interests are in the areas of computer architecture, operating systems, and distributed systems. 相似文献
25.
While aggregating the throughput of existing disks on cluster nodes is a cost-effective approach to alleviate the I/O bottleneck
in cluster computing, this approach suffers from potential performance degradations due to contentions for shared resources
on the same node between storage data processing and user task computation. This paper proposes to judiciously utilize the
storage redundancy in the form of mirroring existed in a RAID-10 style file system to alleviate this performance degradation.
More specifically, a heuristic scheduling algorithm is developed, motivated from the observations of a simple cluster configuration,
to spatially schedule write operations on the nodes with less load among each mirroring pair. The duplication of modified
data to the mirroring nodes is performed asynchronously in the background. The read performance is improved by two techniques:
doubling the degree of parallelism and hot-spot skipping. A synthetic benchmark is used to evaluate these algorithms in a
real cluster environment and the proposed algorithms are shown to be very effective in performance enhancement.
Yifeng Zhu received his B.Sc. degree in Electrical Engineering in 1998 from Huazhong University of Science and Technology, Wuhan, China;
the M.S. and Ph.D. degree in Computer Science from University of Nebraska – Lincoln in 2002 and 2005 respectively. He is an
assistant professor in the Electrical and Computer Engineering department at University of Maine. His main research interests
are cluster computing, grid computing, computer architecture and systems, and parallel I/O storage systems. Dr. Zhu is a Member
of ACM, IEEE, the IEEE Computer Society, and the Francis Crowe Society.
Hong Jiang received the B.Sc. degree in Computer Engineering in 1982 from Huazhong University of Science and Technology, Wuhan, China;
the M.A.Sc. degree in Computer Engineering in 1987 from the University of Toronto, Toronto, Canada; and the PhD degree in
Computer Science in 1991 from the Texas A&M University, College Station, Texas, USA. Since August 1991 he has been at the
University of Nebraska-Lincoln, Lincoln, Nebraska, USA, where he is Professor and Vice Chair in the Department of Computer
Science and Engineering. His present research interests are computer architecture, parallel/distributed computing, cluster
and Grid computing, computer storage systems and parallel I/O, performance evaluation, real-time systems, middleware, and
distributed systems for distance education. He has over 100 publications in major journals and international Conferences in
these areas and his research has been supported by NSF, DOD and the State of Nebraska. Dr. Jiang is a Member of ACM, the IEEE
Computer Society, and the ACM SIGARCH.
Xiao Qin received the BS and MS degrees in computer science from Huazhong University of Science and Technology in 1992 and 1999, respectively.
He received the PhD degree in computer science from the University of Nebraska-Lincoln in 2004. Currently, he is an assistant
professor in the department of computer science at the New Mexico Institute of Mining and Technology. He had served as a subject
area editor of IEEE Distributed System Online (2000–2001). His research interests are in parallel and distributed systems, storage systems, real-time computing, performance
evaluation, and fault-tolerance. He is a member of the IEEE.
Dan Feng received the Ph.D degree from Huazhong University of Science and Technology, Wuhan, China, in 1997. She is currently a professor
of School of Computer, Huazhong University of Science and Technology, Wuhan, China. She is the principal scientist of the
the National Grand Fundamental Research 973 Program of China “Research on the organization and key technologies of the Storage
System on the next generation Internet.” Her research interests include computer architecture, storage system, parallel I/O,
massive storage and performance evaluation.
David Swanson received a Ph.D. in physical (computational) chemistry at the University of Nebraska-Lincoln (UNL) in 1995, after which he
worked as an NSF-NATO postdoctoral fellow at the Technical University of Wroclaw, Poland, in 1996, and subsequently as a National
Research Council Research Associate at the Naval Research Laboratory in Washington, DC, from 1997–1998. In 1999 he returned
to UNL where he directs the Research Computing Facility and currently serves as an Assistant Research Professor in the Department
of Computer Science and Engineering. The Office of Naval Research, the National Science Foundation, and the State of Nebraska
have supported his research in areas such as large-scale scientific simulation and distributed systems. 相似文献
26.
A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems
Jong-Kook Kim Debra A. Hensgen Taylor Kidd Howard Jay Siegel David St. John Cynthia Irvine Tim Levin N. Wayne Porter Viktor K. Prasanna Richard F. Freund 《Cluster computing》2006,9(3):281-296
When users’ tasks in a distributed heterogeneous computing environment (e.g., cluster of heterogeneous computers) are allocated
resources, the total demand placed on some system resources by the tasks, for a given interval of time, may exceed the availability
of those resources. In such a case, some tasks may receive degraded service or be dropped from the system. One part of a measure
to quantify the success of a resource management system (RMS) in such a distributed environment is the collective value of
the tasks completed during an interval of time, as perceived by the user, application, or policy maker. The Flexible Integrated
System Capability (FISC) measure presented here is a measure for quantifying this collective value. The FISC measure is a
flexible multi-dimensional measure such that any task attribute can be inserted and may include priorities, versions of a
task or data, deadlines, situational mode, security, application- and domain-specific QoS, and task dependencies. For an environment
where it is important to investigate how well data communication requests are satisfied, the data communication request satisfied
can be the basis of the FISC measure instead of tasks completed. The motivation behind the FISC measure is to determine the
performance of resource management schemes if tasks have multiple attributes that needs to be satisfied. The goal of this
measure is to compare the results of different resource management heuristics that are trying to achieve the same performance
objective but with different approaches.
This research was supported by the DARPA/ITO Quorum Program, by the DARPA/ISO BADD Program and the Office of Naval Research
under ONR grant number N00014-97-1-0804, by the DARPA/ITO AICE program under contract numbers DABT63-99-C-0010 and DABT63-99-C-0012,
and by the Colorado State University George T. Abell Endowment. Intel and Microsoft donated some of the equipment used in
this research.
Jong-Kook Kim is pursuing a Ph.D. degree from the School of Electrical and Computer Engineering at Purdue University (expected in August
2004). Jong-Kook received his M.S. degree in electrical and computer engineering from Purdue University in May 2000. He received
his B.S. degree in electronic engineering from Korea University, Seoul, Korea in 1998. He has presented his work at several
international conferences and has been a reviewer for numerous conferences and journals. His research interests include heterogeneous
distributed computing, computer architecture, performance measure, resource management, evolutionary heuristics, and power-aware
computing. He is a student member of the IEEE, IEEE Computer Society, and ACM.
Debra Hensgen is a member of the Research and Evaluation Team at OpenTV in Mountain View, California. OpenTV produces middleware for set-top
boxes in support of interactive television. She received her Ph.D. in the area of Distributed Operating Systems from the University
of Kentucky. Prior to moving to private industry, as an Associate Professor in the systems area, she worked with students
and colleagues to design and develop tools and systems for resource management, network re-routing algorithms and systems
that preserve quality of service guarantees, and visualization tools for performance debugging of parallel and distributed
systems. She has published numerous papers concerning her contributions to the Concurra toolkit for automatically generating
safe, efficient concurrent code, the Graze parallel processing performance debugger, the SAAM path information base, and the
SmartNet and MSHN Resource Management Systems.
Taylor Kidd is currently a Software Architect for Vidiom Systems in Portland Oregon. His current work involves the writing of multi-company
industrial specifications and the architecting of software systems for the digital cable television industry. He has been
involved in the establishment of international specifications for digital interactive television in both Europe and in the
US. Prior to his current position, Dr. Kidd has been a researcher for the US Navy as well as an Associate Professor at the
Naval Postgraduate School. Dr Kidd received his Ph.D. in Electrical Engineering in 1991 from the University of California,
San Diego.
H. J. Siegel was appointed the George T. Abell Endowed Chair Distinguished Professor of Electrical and Computer Engineering at Colorado
State University (CSU) in August 2001, where he is also a Professor of Computer Science. In December 2002, he became the first
Director of the CSU Information Science and Technology Center (ISTeC). ISTeC is a university-wide organization for promoting,
facilitating, and enhancing CSU’s research, education, and outreach activities pertaining to the design and innovative application
of computer, communication, and information systems. From 1976 to 2001, he was a professor at Purdue University. He received
two BS degrees from MIT, and the MA, MSE, and PhD degrees from Princeton University. His research interests include parallel
and distributed computing, heterogeneous computing, robust computing systems, parallel algorithms, parallel machine interconnection
networks, and reconfigurable parallel computer systems. He has co-authored over 300 published papers on parallel and distributed
computing and communication, is an IEEE Fellow, is an ACM Fellow, was a Coeditor-in-Chief of the Journal of Parallel and Distributed
Computing, and was on the Editorial Boards of both the IEEE Transactions on Parallel and Distributed Systems and the IEEE
Transactions on Computers. He was Program Chair/Co-Chair of three major international conferences, General Chair/Co-Chair
of four international conferences, and Chair/Co-Chair of five workshops. He has been an international keynote speaker and
tutorial lecturer, and has consulted for industry and government.
David St. John is Chief Information Officer for WeatherFlow, Inc., a weather services company specializing in coastal weather observations
and forecasts. He received a master’s degree in Engineering from the University of California, Irvine. He spent several years
as the head of staff on the Management System for Heterogeneous Networks project in the Computer Science Department of the
Naval Postgraduate School. His current relationship with cluster computing is as a user of the Regional Atmospheric Modeling
System (RAMS), a numerical weather model developed at Colorado State University. WeatherFlow runs RAMS operationally on a
Linux-based cluster.
Cynthia Irvine is a Professor of Computer Science at the Naval Postgraduate School in Monterey, California. She received her Ph.D. from
Case Western Reserve University and her B.A. in Physics from Rice University. She joined the faculty of the Naval Postgraduate
School in 1994. Previously she worked in industry on the development of high assurance secure systems. In 2001, Dr. Irvine
received the Naval Information Assurance Award. Dr. Irvine is the Director of the Center for Information Systems Security
Studies and Research at the Naval Postgraduate School. She has served on special panels for NSF, DARPA, and OSD. In the area
of computer security education Dr. Irvine has most recently served as the general chair of the Third World Conference on Information
Security Education and the Fifth Workshop on Education in Computer Security. She co-chaired the NSF workshop on Cyber-security
Workforce Needs Assessment and Educational Innovation and was a participant in the Computing Research Association/NSF sponsored
Grand Challenges in Information Assurance meeting. She is a member of the editorial board of the Journal of Information Warfare
and has served as a reviewer and/or program committee member of a variety of security related conferences. She has written
over 100 papers and articles and has supervised the work of over 80 students. Professor Irvine is a member of the ACM, the
AAS, a life member of the ASP, and a Senior Member of the IEEE.
Timothy E. Levin is a Research Associate Professor at the Naval Postgraduate School. He has spent over 18 years working in the design, development,
evaluation, and verification of secure computer systems, including operating systems, databases and networks. His current
research interests include high assurance system design and analysis, development of models and methods for the dynamic selection
of QoS security attributes, and the application of formal methods to the development of secure computer systems.
Viktor K. Prasanna received his BS in Electronics Engineering from the Bangalore University and his MS from the School of Automation, Indian
Institute of Science. He obtained his Ph.D. in Computer Science from the Pennsylvania State University in 1983. Currently,
he is a Professor in the Department of Electrical Engineering as well as in the Department of Computer Science at the University
of Southern California, Los Angeles. He is also an associate member of the Center for Applied Mathematical Sciences (CAMS)
at USC. He served as the Division Director for the Computer Engineering Division during 1994–98. His research interests include
parallel and distributed systems, embedded systems, configurable architectures and high performance computing. Dr. Prasanna
has published extensively and consulted for industries in the above areas. He has served on the organizing committees of several
international meetings in VLSI computations, parallel computation, and high performance computing. He is the Steering Co-chair
of the International Parallel and Distributed Processing Symposium [merged IEEE International Parallel Processing Symposium
(IPPS) and the Symposium on Parallel and Distributed Processing (SPDP)] and is the Steering Chair of the International Conference
on High Performance Computing(HiPC). He serves on the editorial boards of the Journal of Parallel and Distributed Computing
and the Proceedings of the IEEE. He is the Editor-in-Chief of the IEEE Transactions on Computers. He was the founding Chair
of the IEEE Computer Society Technical Committee on Parallel Processing. He is a Fellow of the IEEE.
Richard F. Freund is the originator of GridIQ’s network scheduling concepts that arose from mathematical and computing approaches he developed
for the Department of Defense in the early 1980’s. Dr. Freund has over twenty-five years experience in computational mathematics,
algorithm design, high performance computing, distributed computing, network planning, and heterogeneous scheduling. Since
1989, Dr. Freund has published over 45 journal articles in these fields. He has also been an editor of special editions of
IEEE Computer and the Journal of Parallel and Distributed Computing. In addition, he is a founder of the Heterogeneous Computing
Workshop, held annually in conjunction with the International Parallel Processing Symposium. Dr. Freund is the recipient of
many awards, which includes the prestigious Department of Defense Meritorious Civilian Service Award in 1984 and the Lauritsen-Bennet
Award from the Space and Naval Warfare Systems Command in San Diego, California. 相似文献
27.
Goldstein JM 《Hormones and behavior》2006,50(4):612-622
Women with schizophrenia express affective disturbances disproportionately more than men. Brain regions implicated in the affective arousal circuitry also regulate the hypothalamic-pituitary-adrenal and -gonadal systems, which are dysfunctional in schizophrenia. This review will argue that understanding the etiology of affective arousal deficits in schizophrenia is intimately connected with characterizing the role of neuroendocrine dysfunction and sex effects in schizophrenia. Further, the etiology of these neuroendocrine deficits begins during fetal development, during a period of time that coincides with the sexual differentiation of the brain and the vulnerability for schizophrenia. Studying the links between deficits in neuroendocrine systems and the affective arousal system in schizophrenia will provide clues to understanding the development of sex differences in schizophrenia and thereby its etiology. 相似文献
28.
Despite the many designs of devices operating with the DNA strand displacement, surprisingly none is explicitly devoted to the implementation of logical deductions. The present article introduces a new model of biosensor device that uses nucleic acid strands to encode simple rules such as "IF DNA_strand(1) is present THEN disease(A)" or "IF DNA_strand(1) AND DNA_strand(2) are present THEN disease(B)". Taking advantage of the strand displacement operation, our model makes these simple rules interact with input signals (either DNA or any type of RNA) to generate an output signal (in the form of nucleotide strands). This output signal represents a diagnosis, which either can be measured using FRET techniques, cascaded as the input of another logical deduction with different rules, or even be a drug that is administered in response to a set of symptoms. The encoding introduces an implicit error cancellation mechanism, which increases the system scalability enabling longer inference cascades with a bounded and controllable signal-noise relation. It also allows the same rule to be used in forward inference or backward inference, providing the option of validly outputting negated propositions (e.g. "diagnosis A excluded"). The models presented in this paper can be used to implement smart logical DNA devices that perform genetic diagnosis in vitro. 相似文献
29.
The topic addressed is that of combining self-constructing chemical systems with electronic computation to form unconventional embedded computation systems performing complex nano-scale chemical tasks autonomously. The hybrid route to complex programmable chemistry, and ultimately to artificial cells based on novel chemistry, requires a solution of the two-way massively parallel coupling problem between digital electronics and chemical systems. We present a chemical microprocessor technology and show how it can provide a generic programmable platform for complex molecular processing tasks in Field Programmable Chemistry, including steps towards the grand challenge of constructing the first electronic chemical cells. Field programmable chemistry employs a massively parallel field of electrodes, under the control of latched voltages, which are used to modulate chemical activity. We implement such a field programmable chemistry which links to chemistry in rather generic, two-phase microfluidic channel networks that are separated into weakly coupled domains. Electric fields, produced by the high-density array of electrodes embedded in the channel floors, are used to control the transport of chemicals across the hydrodynamic barriers separating domains. In the absence of electric fields, separate microfluidic domains are essentially independent with only slow diffusional interchange of chemicals. Electronic chemical cells, based on chemical microprocessors, exploit a spatially resolved sandwich structure in which the electronic and chemical systems are locally coupled through homogeneous fine-grained actuation and sensor networks and play symmetric and complementary roles. We describe how these systems are fabricated, experimentally test their basic functionality, simulate their potential (e.g. for feed forward digital electrophoretic (FFDE) separation) and outline the application to building electronic chemical cells. 相似文献
30.