Background Evidence from several countries suggests increasing mental health problems among children and adolescents, raising ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Abstract: An end-to-end supervised learning method is proposed for fault detection in the electric grid using Big Data from multiple Phasor Measurement Units (PMUs). The approach consists of ...

Tool directs text-generation systems to remove constructions associated with artificial intelligence in research papers and ...

In patients with acute ischaemic stroke due to anterior-circulation large-vessel occlusion achieving successful reperfusion, ...

AI text detector accuracy is worse than most institutions realize. New research from Pindrop and the Authors Guild confirms that skilled human writers are systematically flagged as AI-generated — and ...

Background Improvement science has supported the methodological foundations for the application of quality improvement (QI) ...

Analyzing thousands of proteins from a single drop of blood is no longer science fiction. High-throughput proteomics has transformed biomarker discovery by enabling simultaneous profiling of thousands ...

Introduction Type 2 diabetes mellitus (T2DM) is a well-established independent risk factor for dementia and is associated ...

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 ...

Lu]Lu-edotreotide led to statistically significant and clinically meaningful improvements in progression-free survival.