10247658 results
Contributors: Laura Carreras, Albert Turon, Brian Lau Verndal Bak, Esben Lindgaard, Jordi Renart, Federico Martin de la Escalera, Yasser Essa
Date: 2018-12-13
... This data repository provides the processed data obtained from the benchmark simulation using the method presented in the article entitled "A simulation method for 3D analysis of delamination in layered structures under quasi-static and fatigue loading" by the same authors. The method is based on a cohesive zone model approach and a Paris' law-based expression describing the crack growth rate. The capabilities of the method are evaluated by comparison of the results obtained from a benchmark test on a partially reinforced double cantilever beam (DCB) specimen with varying crack growth rate and front shape. The experimental work is presented in the article entitled "A benchmark test for validating 3D simulation methods for delamination growth under quasi-static and fatigue loading". Experimental data is provided in the Mendeley data set entitled "Experimental data set from a benchmark test of delamination growth with varying crack growth rate and crack front shape under quasi-static and fatigue loading". This data set only contains the simulation results. The test configuration, the methodology and the data processing are addressed in the related articles.
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Contributors: Tao Xu, Yu Zhang, Wenjie Du, wei jiang, Jing Dong, Min Huang, Wenying Wang, Limin Luo
Date: 2018-12-13
... These original data for "Crosstalk Between Metabotropic Glutamate Receptor 5 and NMDA receptor in the Development of Morphine-induced Antinociceptive Tolerance in Mouse Cortex" are up-loaded for check
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Contributors: Umair Ashfaq, Bruce Hatcher, Adam Mugridge
Date: 2018-12-13
... The files contain the raw data sheets and the figures which have been used in the research. Additional data sheets, including the processed ones can be provided. Only the EXCEL has been used in the production of figures so there are no resource files (e.g. photoshop etc). Please contact Author for more detail, if other data files are required.
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Contributors: Jim Lee
Date: 2018-12-13
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Contributors: Ali Broumandnia
Date: 2018-12-13
... This software belong to a manuscripts which is under review
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Contributors: Matthew Cooper, Siyu Qin, Anna Hausmann, Enrico Di Minin, Ricardo Correia, Aaron Schwartz
Date: 2018-12-13
... This is the data used to calculate an indicator for Aichi Biodiversity Target 1
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Contributors: Shu-wen CHEN
Date: 2018-12-13
... Fifteen health conditions were collected from avionics 24-pulse ATRU-2. The health conditions of avionics ATRUs include healthy, faulty with main rectifier bridges, faulty with assist rectifier bridges, faulty with the wind, and faulty with the input voltage.The data contain output voltage signal and the input current signal collected from ATRUs under different health conditions.
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Contributors: Klaus Reuter, Jürgen Köfinger
Date: 2018-12-13
... We report on the design, implementation, optimization, and performance of the CADISHI software package, which calculates histograms of pair-distances of ensembles of particles on CPUs and GPUs. These histograms represent 2-point spatial correlation functions and are routinely calculated from simulations of soft and condensed matter, where they are referred to as radial distribution functions, and in the analysis of the spatial distributions of galaxies and galaxy clusters. Although conceptually simple, the calculation of radial distribution functions via distance binning requires the evaluation of O(N^2) particle-pair distances where N is the number of particles under consideration. CADISHI provides fast parallel implementations of the distance histogram algorithm for the CPU and the GPU, written in templated C++ and CUDA. Orthorhombic and general triclinic periodic boxes are supported, in addition to the non-periodic case. The CPU kernels feature cache-blocking, vectorization and thread-parallelization to obtain high performance. The GPU kernels are tuned to exploit the memory and processor features of current GPUs, demonstrating histogramming rates of up to a factor 40 higher than on a high-end multi-core CPU. To enable high-throughput analyses of molecular dynamics trajectories, the compute kernels are driven by the Python-based CADISHI engine. It implements a producer–consumer data processing pattern and thereby enables the complete utilization of all the CPU and GPU resources available on a specific computer, independent of special libraries such as MPI, covering commodity systems up to high-end HPC nodes. Data input and output are performed efficiently via HDF5. In addition, our CPU and GPU kernels can be compiled into a standard C library and used with any application, independent from the CADISHI engine or Python. The CADISHI software is freely available under the MIT license.
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Contributors: Maurice Doyon, JoAnne Labrecque, Laure Saulais, Stephane Bergeron
Date: 2018-12-13
... results from experiments using nudges in a restaurant setting
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Contributors: Jose H. Jose H., Sandra Alonso
Date: 2018-12-13
... meaning in life buffers association between anxiety and maladjusment.
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