130,729 research outputs found
Incidenza dei fattori naturali ed antropici sull'evoluzione dell'alveo del T. Tidone (Appennino Piacentino)
No full textSTOCHASTIC FINITE-ELEMENTS FOR CRASH PROBLEMS
No full textStochastic finite elements in crash problems via response surfac
STOCHASTIC EQUIVALENT LINEARIZATION FOR 3-D FRAMES
No full textStochastic equivalent linearization is applied to 3D structural frame
Low cost alternative equipment for telepathology. Use of 35mm film scanners for teleconsultation
No full textLESSONS OF REHABILITATION DESIGN LEARNED FROM STATISTICAL-ANALYSES OF MASONRY SEISMIC-VULNERABILITY DATA
No full textStatistical analysis of vulnerability dat
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
Some technical challenges in the design of rotating towers
No full textChallenges in the design of rotating tower
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Hairy cell leukemia without splenomegaly nor myelofibrosis in a patient with gastric adenocarcinoma: early phase of the disease or a variant?
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