Introduction Psychotic disorders account for significant morbidity and healthcare costs and yet their pathophysiology remains poorly understood. The National Institute for Health and Care Research ...
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 ...
The regulatory intelligence platform’s Abstract Workers are custom built to automate tasks like producing daily reports on agencies, sending notifications related to trending social media posts and ...
A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...
SDL_sound is a library that handles the decoding of several popular sound file formats, such as .WAV and .MP3. It is meant to make the programmer's sound playback tasks simpler. The programmer gives ...
A comprehensive spatial immune profile of Hunner lesions (HLs) in interstitial cystitis/bladder pain syndrome (IC/BPS) is absent from the literature. Here, we leveraged imaging mass cytometry, a ...
Pilot trials have a key role in preparing for definitive randomized trials, yet determining their sample size remains a common challenge. This article provides practical guidance, methods, and ...
Cancer Res (2025) 85 (8_Supplement_1): 1440. Resolving heterogeneity within cancer subtypes is critical to better understand the underlying disease mechanisms and to select the most effective ...
Introduction: Cerebrovascular diseases are the third leading cause of disability worldwide, which can occur due to the effects of Post-stroke Cognitive Impairment (PSCI) and Post-Stroke Depression ...
Abstract: Sample augmentation is effective for improving the supervised performance of land-cover classification with hyperspectral remote sensed image (HRSI) when the training samples are limited.
A medical research paper requires a well-crafted abstract, following the American Psychological Association (APA) formatting guidelines, for effective and efficient communication of the study’s key ...
Abstract: Training deep learning models with unequal sample weights has been shown to enhance model performance in various typical learning scenarios, particularly for imbalanced and noisy-label ...
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