Learn how to analyse hierarchical data structures using R. R is a major tool in modern data analysis and statistics, used extensively in academic research as well as by data analysts in the public and ...
Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...
Abstract: Accurately determining the location of DC pole-to-pole short-circuit faults in modular multilevel converter (MMC) based multi-terminal HVDC (MTDC) systems is key issue in ensuring fast power ...
Background Acute kidney injury requiring dialysis (AKI-D) is a major contributor to morbidity and mortality worldwide, with ...
Background Improvement science has supported the methodological foundations for the application of quality improvement (QI) ...
BACKGROUND: Despite strong guideline recommendations for cardiac rehabilitation (CR) following an acute myocardial infarction ...
LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...
Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...
Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...
Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature - often written in the language of mathematics. It is a collective term for areas of study including ...
Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Abstract: Motion-compensated prediction is the key to high-performance video coding. Previous works have explored alternatives to the classical translational motion model in video coding, but the ...
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