2,137 research outputs found
Jewish Travelers to Russia, with Zev Furst
No full textRecording of a weekly radio program by Jerry Goodman
called "Russia Reports" that aired on the radio station WEVD. Zev Furst,
a researcher for the American Jewish Congress Commission on
International Affairs and co-author of the “How to Find and Meet Russian
Jews, Briefing Kit for the Travelers to the USSR,” speaks about travel
to the USSR as an important aspect of the Soviet Jewry movement. This
program was rebroadcast as program #38.Digital recordingDigital finding aid
sj-docx-1-hpq-10.1177_13591053231223882 – Supplemental material for Psychometric evaluation of the DePaul Symptom Questionnaire-Short Form (DSQ-SF) among adults with Long COVID, ME/CFS, and healthy controls: A machine learning approach
No full textSupplemental material, sj-docx-1-hpq-10.1177_13591053231223882 for Psychometric evaluation of the DePaul Symptom Questionnaire-Short Form (DSQ-SF) among adults with Long COVID, ME/CFS, and healthy controls: A machine learning approach by William J McGarrigle, Jacob Furst and Leonard A Jason in Journal of Health Psychology</p
Bassett mechanicala case study of implementation of ISO-9001:2000
No full textPlan BThe purpose of this field problem was to implement ISO-9001:2000 standards into the policies and procedures at Bassett Mechanical. Customers were requiring vendors and subcontractors to obtain certification in order to continue providing products and services. Obtainment of certification was needed to ensure sustained business relations with Bassett Mechanical’s existing customers
Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer
No full textDynamic frequency and voltage scaling (DVFS)
techniques have been widely used for meeting energy constraints.
Single-chip many-core systems bring new challenges
owing to the large number of operating points and the shift
to message passing interface (MPI) from shared memory
communication. DVFS, however, has been mostly studied on
single-chip systems with one or few cores, without considering
the impact of the communication among cores. This paper
evaluates the impact of frequency scaling on the performance
and power of many-core systems with MPI. We conduct
experiments on the Single-Chip Cloud Computer (SCC), an
experimental many-core processor developed by Intel. The
paper first introduces the run-time monitoring infrastructure
and the application suite we have designed for an in-depth
evaluation of the SCC. We provide an extensive analysis quantifying
the effects of frequency perturbations on performance
and energy efficiency. Experimental results show that runtime
communication patterns lead to significant differences in
power/performance tradeoffs in many-core systems with MPI
Building agents that plan and argue in a social context.
No full textIn order for one agent to meet its goals, it will often need to influence another to act on its behalf, particularly in a society in which agents have heterogenous sets of abilities. To effect such influence, it is necessary to consider both the social context and the dialogical context in which influence is exerted, typically through utterance. Both of these facets, the social and the dialogical, are affected by, and in turn affect, the plan that the influencing agent maintains, and the plans that the influenced agents may be constructing. The i-Xchange project seeks to bring together three closely related areas of research: in distributed planning, in agent-based social reasoning, and in inter-agent argumentation, in order to solve some of the problems of exerting influence using socially-aware argument
OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms
No full textAs detailed chemical mechanisms are becoming viable for large scale simulations, knowledge and control of the uncertainty correlated to the kinetic parameters are becoming crucial to ensure accurate numerical predictions. A flexible toolbox for the optimization of chemical kinetics has therefore been developed in this work. The toolbox is able to use different optimization methodologies, as well as it can handle a large amount of uncertain parameters simultaneously. It can also handle experimental targets from different sources: Batch reactors, Plug Flow Reactors, Perfectly Stirred Reactors, Rapid Compression Machines and Laminar Flame Speeds. This work presents the different features of this toolbox together with five different test cases which exemplifies these features. Program summary: Program Title: OptiSMOKE++ CPC Library link to program files: https://doi.org/10.17632/tvjky2n8md.1 Licensing provisions: GPLv3 Programming language: C++ Nature of problem: Optimization of uncertain kinetic parameters with respect to experimental data. Solution method: Using the optimization capabilities of DAKOTA [1], and solving reacting systems with OpenSMOKE++ [2], OptiSMOKE++ determines the optimal combination of specified kinetic parameters, within their uncertainty, and with respect to the experimental data. References [1] B. M. Adams, M. S. Ebeida, M. S. Eldred, G. Geraci, J. D. Jakeman, K. A. Maupin, J. A. Monoscheke, L. P. Swiler, J. A. Stephens, D. M. Vigil, T. M. Wildey, W. J. Bohno, K. R. Dalbey, J. P. Eddy, R. W. Hooper, K. T. Hu, P. D. Hough, E. M. Ridgwat, A. Rushdi, Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.5 User's Manual (2014). [2] A. Cuoci, A. Frassoldati, T. Faravelli, E. Ranzi, OpenSMOKE++: An object-oriented framework for the numerical modeling of reactive systems with detailed kinetic mechanisms, Computer Physics Communications 192 (2015) 237-264. doi:10.1016/j.cpc.2015.02.014
ICln structure and function - interaction with HSPC038 under isotonic and hypotonic conditions
No full text- …
