Anxiety & Stress

Predicting depressive and anxiety symptoms among Lebanese and Syrian adults in a suburb of Beirut, Lebanon, during concurrent crises: nested cross-sectional study.

OBJECTIVE: This study aimed to develop prediction models for symptoms of poor mental health among Lebanese adults and adult Syrian refugees or migrants residing in a suburb of Beirut, Lebanon, separately. DESIGN: Nested cross-sectional study. SETTING: Sin-El-Fil, a suburb east of Beirut, Lebanon. PARTICIPANTS: Lebanese and Syrian adults residing in low socio-economic status areas of Sin-El-Fil. PR...

Influences of adverse childhood experiences and weekly pregnancy stress on postpartum mental health symptoms: a machine learning examination.

PURPOSE: The goal of this study was to understand how the timing, level, and fluctuation of pregnancy stress affected women's postpartum mental health while also considering their experiences of early life stress (adverse childhood events; ACEs). We hypothesized that overall stress level, as well as stress during particular pregnancy weeks, would influence postpartum mental health. We further hypo...

Identifying factors influencing acceptance of artificial intelligence among general practitioners in Danish general practice: a cross-sectional web-based survey study.

BACKGROUND: Despite rapid advances in artificial intelligence (AI), its adoption in Danish general practice remains limited and decentralized, relying...

Advances in the Identification and Agreement About Meta-Therapy for Voice Disorders: A Methodological Paper.

BACKGROUND: Meta-therapy (MT) is a powerful dialogue-based element of voice therapy that scaffolds patients' cognitive models of treatment. MT dialogu...

Machine learning and SHAP interpretation to identify high-level compassion fatigue among operating room nurses: a multicenter cross-sectional study.

BACKGROUND: Operating room nurses (ORNs) are at high risk for compassion fatigue (CF), which significantly impairs individuals' well-being, undermines...

ELOVL1 promotes the progression of intrahepatic cholangiocarcinoma by enhancing endoplasmic reticulum stress and the PI3K/AKT/mTOR signaling pathway.

BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive liver malignancy characterized by an adverse outcome attributed to delayed d...

Single-cell and machine learning-integrated bulk RNA-seq analysis reveals TKT as an oxidative stress-associated diagnostic biomarker in acute myocardial infarction.

BACKGROUND: Acute myocardial infarction (AMI) is a leading cause of death worldwide, with oxidative stress (OS) playing a central role in its pathogen...

Examining the utility of digital phenotyping for the prediction of intrusive experiences.

Background: Intrusive experiences related to witnessing a traumatic event are the core symptom of post-traumatic stress disorder (PTSD), and have been...

Towards structure-aware surrogate modeling: explicit region interaction improves knee contact stress prediction in young men.

Knee contact-stress hotspots are closely linked to meniscal/cartilage injury risk. Still, high-fidelity subject-specific FEA is too computationally ex...

Cumulative stress hyperglycemia ratio exposure and dynamic trajectories reveal prognostic determinants of acute hyperlipidemic pancreatitis: an 5-year cohort study.

BACKGROUND: The stress hyperglycemia ratio (SHR) and glycemic variability (GV) both reflect acute glycemic fluctuations, with established roles in car...

Technological advances in imaging and modelling of leaf structural traits: a review of heat stress in wheat.

Abiotic stresses such as heat waves significantly reduce wheat productivity by altering leaf anatomy and physiology, leading to reduced photosynthetic...

Anxiety and Depression Associated With the Dependent Use of Generative AI in Medical Students: Cross-Sectional Study.

BACKGROUND: The growing integration of artificial intelligence (AI) in higher education has transformed learning processes but also raised concerns ab...

High-precision stress prediction using deep energy network enhanced by stress equilibrium with Delaunay integration on refined grid.

We present the deep energy method enhanced by stress equilibrium (DEM-SE), a physics-informed neural network (PINN) architecture for high-precision pr...

Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial.

BACKGROUND: Opioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated...

Cultural Relevance and Acceptability of Cognitive Behavioral Therapy Techniques Adapted by AI or a Human Psychologist: Experimental Study.

BACKGROUND: Evidence-based psychological interventions are usually not accessed by marginalized groups such as refugees. Culturally adapted psychologi...

Early detection of mental health on social media using a hybrid Bi-LSTM-XGBoost model: a comparative study.

The case of mental health disorders has been a main topic in the clinical and psychological field. The advancement of computing studies, especially in...

AC-WGAN-GP for transcriptomic data augmentation: Enhancing stress classification in Synechocystis sp. PCC 6803 under data scarcity.

Transcriptomic analyses of environmental stress responses in Synechocystis sp. PCC 6803 are often constrained by limited sample sizes, pronounced clas...

Neural characteristics of emotion regulation and derived machine learning classification in high negative affectivity: Based on event-related potentials and nonlinear analysis.

As a core component of negative affectivity, high trait anxiety (HTA) elevates the risk of the onset of depressive disorders through impaired emotion ...

Climate change and crop resilience: harnessing metabolomics for predicting stress tolerance.

Global warming is driving climate change to levels not experienced since the advent of agriculture, primarily due to anthropogenic factors and the acc...

Divergent outcomes of AI anxiety: A dual-pathway model of cognitive appraisal on learning behaviors among university students.

The rapid integration of artificial intelligence (AI) into higher education is producing divergent learning behaviors, as student AI anxiety appears t...