Anxiety & Stress

Optimization and validation of multiscale feature selection for EEG-based recognition of drivers' negative emotions.

OBJECTIVE: Negative emotions, such as stress and anger, are significant factors leading to dangerous driving behavior. Investigating the impact of these emotions on driving safety is crucial for effective traffic injury prevention. METHODS: Electroencephalography (EEG) is a valuable tool for detecting emotional neural activity due to its high temporal resolution and noninvasive characteristics. Th...

Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers.

Positron emission tomography (PET)/computed tomography (CT) for myocardial perfusion imaging (MPI) provides multiple imaging biomarkers, often evaluated separately. We developed an artificial intelligence (AI) model integrating key clinical PET MPI parameters to improve the diagnosis of obstructive coronary artery disease (CAD). From 17,348 patients undergoing cardiac PET/CT across four sites, 166...

A multimodal spatiotemporal convolutional network with attention mechanism for athlete anxiety behavior recognition.

Athletic performance is significantly impacted by anxiety, yet traditional assessment methods rely on subjective questionnaires that lack real-time ca...

Chronic stress raises baseline circulating corticosterone and reduces vocal plasticity in male budgerigars, an avian model for adult vocal learning.

Chronic stress affects cognitive function across many domains, including memory, decision making and learning. While the effects of early-life stress ...

Randomized evidence on AI-enabled personalized treatment planning for adults with depressive-anxiety Spectrum disorders: A systematic review and Meta-analysis.

BACKGROUND: AI-enabled personalized treatment planning may improve outcomes by tailoring care, yet its clinical impact across modalities remains uncer...

Quality of Life and Decision Regret Risk in Graves' Disease After Radioactive Iodine Therapy: A Prospective Cohort Study.

OBJECTIVE: To identify pre-treatment determinants of hypothyroidism and decision regret (DR) following radioiodine (RAI) therapy in Graves' disease (G...

WRKY Transcription Factors: Integral Regulators of Defence Responses to Biotic Stress in Crops.

Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens and insect pests, which cause substantial yield a...

Programmable Triboelectric Origami Sensors for Multidimensional Pressure Monitoring.

Sensors with multidimensional pressure sensing capabilities have attracted extensive interest for applications in wearable electronics and human-compu...

Relationship between artificial intelligence tool usage experience and academic stress among college students: Mediating role of loneliness and moderating role of academic self-efficacy.

As artificial intelligence (AI) rapidly integrates into higher education, AI tools are increasingly being utilized to support student learning. Althou...

YiQiFuMai ameliorates hypoperfusion-induced cerebral infarction by targeting the shear stress-PLBD1-glycolysis-angiogenesis axis.

BACKGROUND: Hypoperfusion-induced cerebral infarction remains a significant therapeutic challenge due to limited treatment options. Yiqi Fumai (YQFM),...

Unraveling stress-adaptation pathways in cancer: Functional dissection through CRISPR-based genetic screens.

Cancer cells face a hostile microenvironment characterized by hypoxia, nutrient deprivation, endoplasmic reticulum (ER) stress, and oxidative imbalanc...

Mitigating psychological stress-induced cardiac injury: The impact of CB2R agonists on endoplasmic reticulum stress and mitophagy.

BACKGROUND: Psychological stress is a recognized contributor to cardiac injury and disease; however, the molecular mechanisms underlying this relation...

Acceptance of communication robots among patients undergoing maintenance hemodialysis with psychological stress.

OBJECTIVE: Although several psychotherapeutic interventions have been introduced for patients receiving maintenance hemodialysis (MHD), challenges suc...

From innovation to implementation: Artificial intelligence in cognitive behaviour therapy training and supervision.

Artificial intelligence (AI) can transform mental health care globally by improving the efficiency, consistency, effectiveness and accessibility of tr...

Enhanced Informer Network for Stress Recognition and Classification via Spatial and Channel Attention Mechanisms.

With the increase in work-related stress, the issue of psychological pressure in occupational environments has gained increasing attention. This paper...

Stress detection using the phase controlled Bi-channel adaptive features from the brain EEG signals.

This work proposes a stress classification system from the electroencephalogram (EEG) signals collected from the stress subjects. The scheme extracts ...

Precision prediction of posttraumatic stress disorder symptom surges: A pilot study integrating real-time daily data with supervised learning.

The application of machine learning algorithms to daily diary data represents a valuable tool for improving dynamic prediction of posttraumatic stress...

A machine learning-based model for the prediction of thyroid eye disease with oxidative stress-related biomarkers.

Thyroid eye disease (TED), the most common adult orbital disease, can significantly impair patients' quality of life. Currently, effective diagnostic ...

Polyploid giant cancer cells: A novel target in future cancer therapy.

Under intense therapeutic stress-including chemotherapy, radiotherapy, and targeted therapies-tumor cells can undergo ploidy reprogramming to generate...

Korean longitudinal study on digitally optimized mental healthcare: a cohort profile.

The Korean Longitudinal Study on Digitally Optimized Mental Healthcare is an innovative multicenter trial-ready cohort study. It aims to develop a dig...