Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Cyclohexane-1,2-dicarboxylic acid diisononyl ester (DINCH), as a "green" alternative to phthalates, has been widely used in consumer products and industrial materials. Consequently, its environmental and human exposure levels continue to rise, necessitating a systematic evaluation of its mechanism of intestinal toxicity. This study developed a strategy integrating "network toxicology-machine learn...
Plant growth and productivity are severely constrained by abiotic and biotic stresses, which disrupt essential physiological processes, particularly nutrient and ion homeostasis. In response to these challenges, plants activate sophisticated molecular networks, with transcription factors (TFs) emerging as central regulators that integrate stress signals with nutrient management. This review synthe...
Conventional water quality monitoring based on fixed chemical thresholds often fails to capture the integrated biological effects of pollutant mixture...
Clinical translation of nanomedicines remains constrained by a persistent gap between static preclinical assays and the dynamic shear environment of t...
Post-traumatic stress disorder (PTSD) is a highly prevalent, trauma-induced psychiatric condition characterized by persistent cognitive-affective dysf...
Diisononyl cyclohexane-1,2-dicarboxylate (DINCH), a widely used plasticizer substitute, has been widely detected in human populations and has emerged ...
With the rapid diffusion of artificial intelligence (AI) in the service sector, users' acceptance of AI-enabled services has become an important issue...
Above ground crop traits provide an early indication of a plant's capacity to tolerate stress, and are important for breeding programs aimed at improv...
Driven by the rising prevalence of mental health issues, this study proposes an automated stress monitoring system using wearable ECG signals. Designe...
Traditional anxiety assessments typically rely on self-report questionnaires and often emphasize somatic symptoms, potentially overlooking nuanced beh...
Artificial intelligence (AI) is reshaping hospitality work and changing how employees perceive occupational risks and their capacity to adapt. How the...
BACKGROUND: Anxiety disorders are highly prevalent among adults with autism, with 20%-65% experiencing at least one diagnosable anxiety disorder. Whil...
Plants are continuously exposed to a wide range of abiotic stresses, including drought, salinity, temperature extremes, nutrient deficiency, and heavy...
Mental health issues, especially depressive symptoms, among young adults represent a public health challenge. Conventional psychological assessment to...
Alzheimer's disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. Some of its characteristics are slow cognitive dec...
Silicon-based materials (SBMs) are widely used to alleviate heavy metals (HMs) stress in crops, yet their integrated effects on soil-plants systems re...
Accurate high-throughput evaluation of seed germination under abiotic stress is often hindered by subjective manual scoring and insufficient temporal ...
OBJECTIVE: The integration of digital technologies and artificial intelligence (AI) into healthcare has transformed nursing education, while also rais...
The rapid growth of tele-counseling and the use of lay counselors in high-volume, low-resource mental health services has created a need for scalable ...
How animals repeatedly adapted to life on land is a central question in evolutionary biology. While terrestrialisation occurred independently across a...