Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molecular mechanisms through which exercise influences human biology remain poorly defined. Mechanistic progress has been limited by heritability-dominated signals, siloed single-omic analyses, and the lack of integrative models that connect genetic associations to causal, system-level pathways. We intro...
Spaceflight-associated neuro-ocular syndrome (SANS) threatens astronaut health during long-duration missions, yet its molecular pathology remains unclear. Two physiological pathways exist: one attributes SANS to microgravity-induced cephalic fluid shift causing increased intracranial pressure, altered CSF flow, blood-brain barrier disruption, and optic disc edema; the other emphasizes radiation-in...
Quinoa (Chenopodium quinoa Willd.) is a genetically diverse Andean crop valued for its nutrition and adaptability to varied agro-climatic conditions w...
In Japan, civil infrastructure condition monitoring is mandated through visual inspection every five years. Field-captured damage images frequently co...
College students experience many stressors, resulting in high levels of anxiety and depression. Wearable technology provides unobtrusive sensor data t...
Previous studies exploring human sweat ducts as biological antennas in the sub-THz range have shown that the electromagnetic (EM) response of the skin...
Anxiety affects hundreds of millions of individuals globally, yet large-scale screening remains limited. Social media language provides an opportunity...
Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune disease often leading to rapidly progressive glomerul...
In forensic practice, accurately determining whether an individual has been subjected to prolonged restraint or assessing injuries resulting from rest...
BACKGROUNDS: The etiology of depression involves chronic stress, a recognized determinant of onset and severity. This study adopts a translational app...
The identification of biomarkers for early diagnosis and monitoring the progression of Type 1 Diabetes (T1DM) is essential for improving disease manag...
Healthcare professionals, particularly nurses, face elevated occupational stress, a concern amplified during the COVID-19 pandemic. While wearable s...
Traditional simulator-based training for maritime professionals is critical for ensuring safety at sea but often depends on subjective trainer asses...
A short-circuit fault in a transmission line unbalances the electromagnetic stress or ferromagnetic resonance, which deforms the internal windings of ...
The demand for ethical and sustainable poultry production is driving up the importance of quail welfare. Because quail meat and eggs are in high deman...
New psychoactive substances (NPS) pose an increasing challenge for clinical and forensic toxicology due to the initial lack of analytical and metaboli...
Anxiety disorders are the most prevalent type of mental health disorders and are characterised by excessive fear and worry. Despite affecting one in f...
Cigarette smoke, a complex mixture of more than 7000 chemicals, poses a significant threat to human health, with oxidative stress being an important m...
In this study, we propose a subspace-enhanced hypergraph neural network (seHGNN) for classifying anxiety disorders (AD), which are prevalent mental il...
With the advent of Industry 5.0, manufacturers are increasingly prioritizing worker well-being alongside mass customization. Stress-aware Human-Robo...