Institution
University of Nevada, Reno
Education•Reno, Nevada, United States•
About: University of Nevada, Reno is a education organization based out in Reno, Nevada, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13561 authors who have published 28217 publications receiving 882002 citations. The organization is also known as: University of Nevada & Nevada State University.
Papers published on a yearly basis
Papers
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TL;DR: Doctors, mental health, and social service providers should address depression, substance abuse, and forced sex in an attempt to reduce suicidal behaviors among transgender persons.
Abstract: To determine the independent predictors of attempted suicide among transgender persons we interviewed 392 male-to-female (MTF) and 123 female-to-male (FTM) individuals. Participants were recruited through targeted sampling, respondent-driven sampling, and agency referrals in San Francisco. The prevalence of attempted suicide was 32% (95% CI = 28% to 36%). In multivariate logistic regression analysis younger age (<25 years), depression, a history of substance abuse treatment, a history of forced sex, gender-based discrimination, and gender-based victimization were independently associated with attempted suicide. Suicide prevention interventions for transgender persons are urgently needed, particularly for young people. Medical, mental health, and social service providers should address depression, substance abuse, and forced sex in an attempt to reduce suicidal behaviors among transgender persons. In addition, increasing societal acceptance of the transgender community and decreasing gender-based ...
874 citations
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École Normale Supérieure1, Centre national de la recherche scientifique2, Yale University3, University of Colorado Boulder4, University of Texas at San Antonio5, University of Freiburg6, RIKEN Brain Science Institute7, University of Nevada, Reno8, University of Graz9, University of Pittsburgh10, Royal Institute of Technology11, University of Leeds12, French Institute for Research in Computer Science and Automation13
TL;DR: In this paper, a review of different aspects of the simulation of spiking neural networks is presented, with the aim of identifying the appropriate integration strategy and simulation tool to use for a given modeling problem related to spiking networks.
Abstract: We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently implemented. We next review the precision of those simulation strategies, in particular in cases where plasticity depends on the exact timing of the spikes. We overview different simulators and simulation environments presently available (restricted to those freely available, open source and documented). For each simulation tool, its advantages and pitfalls are reviewed, with an aim to allow the reader to identify which simulator is appropriate for a given task. Finally, we provide a series of benchmark simulations of different types of networks of spiking neurons, including Hodgkin-Huxley type, integrate-and-fire models, interacting with current-based or conductance-based synapses, using clock-driven or event-driven integration strategies. The same set of models are implemented on the different simulators, and the codes are made available. The ultimate goal of this review is to provide a resource to facilitate identifying the appropriate integration strategy and simulation tool to use for a given modeling problem related to spiking neural networks.
873 citations
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TL;DR: Object-oriented (OO) application frameworks are a promising technology for reifying proven software designs and implementations in order to reduce the cost and improve the quality of software.
Abstract: Computing power and network bandwidth have increased dramatically over the past decade However, the design and implementation of complex software remains expensive and error-prone Much of the cost and effort stems from the continuous rediscovery and re-invention of core concepts and components across the software industry In particular, the growing heterogeneity of hardware architectures and diversity of operating system and communication platforms makes it hard to build correct, portable, efficient, and inexpensive applications from scratch Object-oriented (OO) application frameworks are a promising technology for reifying proven software designs and implementations in order to reduce the cost and improve the quality of software A framework is a reusable, ``semi-complete'' application that can be specialized to produce custom applications [Johnson:88] In contrast to earlier OO reuse techniques based on class libraries, frameworks are targeted for particular business units (such as data processing or cellular communications) and application domains (such as user interfaces or real-time avionics) Frameworks like MacApp, ET++, Interviews, ACE, Microsoft's MFC and DCOM, JavaSoft's RMI, and implementations of OMG's CORBA play an increasingly important role in contemporary software development
857 citations
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TL;DR: The use of flotation is showing a great potential due to the high throughput of modern equipment, low sludge generation and the high efficiency of the separation schemes already available as mentioned in this paper.
838 citations
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TL;DR: In this paper, the authors examined some practical numerical methods to solve a class of initial-boundary value fractional partial differential equations with variable coefficients on a finite domain, and the stability, consistency, and (therefore) convergence of the methods are discussed.
836 citations
Authors
Showing all 13726 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Langer | 281 | 2324 | 326306 |
Thomas C. Südhof | 191 | 653 | 118007 |
David W. Johnson | 160 | 2714 | 140778 |
Menachem Elimelech | 157 | 547 | 95285 |
Jeffrey L. Cummings | 148 | 833 | 116067 |
Bing Zhang | 121 | 1194 | 56980 |
Arturo Casadevall | 120 | 980 | 55001 |
Mark H. Ellisman | 117 | 637 | 55289 |
Thomas G. Ksiazek | 113 | 398 | 46108 |
Anthony G. Fane | 112 | 565 | 40904 |
Leonardo M. Fabbri | 109 | 566 | 60838 |
Gary H. Lyman | 108 | 694 | 52469 |
Steven C. Hayes | 106 | 450 | 51556 |
Stephen P. Long | 103 | 384 | 46119 |
Gary Cutter | 103 | 737 | 40507 |