IMPORTANCE: High-quality, timely cardiopulmonary resuscitation (CPR) after out-of-hospital cardiac arrest (OHCA) is vital, but bystanders need help to act. Telecommunicator-CPR by 911 dispatchers promotes bystander CPR but may be limited by inherent ... read more
IMPORTANCE: Disruptions in the sleep-wake cycle have been reported in the preclinical period of dementia; whether they contribute to dementia prediction remains unclear. OBJECTIVE: To examine associations of accelerometer-derived sleep-wake cycle met... read more
Applied and environmental microbiology
May 18, 2026
Glaesserella parasuis is a respiratory pathogen of swine and the causative agent of Glässer's disease. Among the 15 serotypes, serotypes 2, 5, and 12 represent globally disseminated, high-risk lineages characterized by increased virulence and antimic... read more
BACKGROUND: Competency-Based Medical Education (CBME) relies on frequent, competency-focused assessments, which can be challenging to implement consistently. Artificial Intelligence (AI) holds promise to improve assessment efficiency, objectivity, an... read more
Conversational artificial intelligence (AI) chatbots are increasingly used for emotional support, companionship, and psychological reflection. Their capacity to simulate attentiveness, empathy, and conversational continuity may shift technology use f... read more
Journal of agricultural and food chemistry
May 18, 2026
The global crisis of bacterial antimicrobial resistance poses a severe threat to public health and agricultural development. Multidrug-resistant pathogens, including Escherichia coli and Pseudomonas aeruginosa, are widely distributed in clinical sett... read more
Accurate fault pattern recognition in the flotation process is crucial for rapid fault response and reducing production risks. However, dynamic flotation process data exhibit high dimensionality, nonlinearity, and nonstationarity, along with signific... read more
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 18, 2026
This paper presents EffortNet, a novel deep learning framework for decoding listening effort at the individual level from electroencephalography (EEG) during speech comprehension. Quantifying listening effort remains a significant challenge in speech... read more
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