Anxiety & Stress

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 relationship remain incompletely understood, and effective therapeutic strategies are still limited. MATERIALS AND METHODS: DEGs were identified from our sequencing data and GEO datasets, intersected with ER stress/mitophagy-related genes, and then prioritiz...

Nanoparticles in Agricultural Soil: Effects on Ecosystem and Crop Health.

Nanotechnology is now widely recognized as an important field driving progress in science and engineering and has supported advances in many application areas. As nanoparticles are increasingly applied in agricultural systems, their behavior in soils and their effects on soil organisms and crops are still not fully clarified. This review examines the occurrence and function of nanoparticles in agr...

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...

Structural alterations related to emotion dysregulation, anxiety and self-harm in adolescents borderline personality disorder. A source-based morphometry study.

OBJECTIVE: Previous research suggests that adolescents with BPD (aBPD) exhibit distinct neuroanatomical alterations, although methodological limitatio...

Estimating the effect of reducing average annual ambient PM2.5 concentrations on allostatic load in children.

OBJECTIVE: Chronic exposure to environmental stressors may result in dysregulation across the body's adaptive stress-response systems, which can be co...

Artificial Intelligence Attack-Resilient Physical Unclonable Functions from Colloidal Nanowire Randomness.

Countless tiny needles scatter across a surface, each landing in a unique, unpredictable pattern. This principle is extended to the microscale by util...

Who engages? Machine learning insights into digital mindfulness-based intervention for generalized anxiety disorder.

BACKGROUND: Although mindfulness ecological momentary interventions (MEMI) appear effective in alleviating worry symptoms, treatment engagement remain...

Differential factor effects in comorbid depressive and anxiety symptoms (CDAS): A machine learning approach to individualized mental health promotion.

BACKGROUND: Depression and anxiety comorbid presents greater severity than isolated symptoms. Traditional analyses often fail to capture complex inter...

An explainable predictive machine learning model reveals ARRB2 as a key gene in post-traumatic stress disorder: A GEO database study.

A number of processes and pathways have been reported in the development of Post-Traumatic Stress Disorder (PTSD), however, novel biomarkers need to b...

Leveraging low-cost app-based step count data to assess depression and anxiety in university students: A cross-sectional mobile health study.

BACKGROUND: The prevalence of depression and anxiety among college students worldwide is on the rise, significantly impacting their health and quality...

Integrative bioinformatics analysis reveals that microplastics promote chronic rhinosinusitis with nasal polyps through NOXO1-mediated oxidative stress and myoepithelial cell reprogramming.

Chronic rhinosinusitis with nasal polyps (CRSwNP) is a complex inflammatory disease whose environmental pathogenic factors remain unclear. Microplasti...

Water stress evolution and redistribution pathways under global inequality in consumption.

Global water stress is intensifying alongside the expansion of goods and services consumption. Based on consumption-based water footprint (CWF) accoun...

Developing and Validating a Prediction Model for the Severe Pain-Fatigue-Sleep Disturbance Symptom Cluster in Patients with Lung Cancer Following Chemotherapy: A Machine Learning Analysis.

OBJECTIVES: Pain-fatigue-sleep disturbance symptom (PFS) cluster is the most common symptom cluster in patients with lung cancer following chemotherap...