Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...
Abstract: This paper presents a novel stochastic channel model (SCM) for wireless personal area network (WPAN) short-range scenarios based on the third-generation partnership project (3GPP) framework ...
"description": "PyData Chicago 2016\n\nGenotype-phenotype studies are done for predicting traits such as whether someone will go bald or have a particular disease given their only genome. We look at ...
aState Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health ...
audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...
aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.
Abstract: In recent years, government incentives and subsidies have driven significant growth in wind power plant (WPP) capacity, establishing WPPs as key players in the evolving electricity market.
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