Anxiety & Stress

Machine Learning Approaches to Identify Influential Factors of the Comorbid Psychiatric Symptoms and Hypertension Among Rural Adults in Bangladesh: A Cross-Sectional Study.

BACKGROUND AND AIM: The burden of both psychiatric symptoms (anxiety and/or depression) and hypertension poses significant public health challenges in Bangladesh, especially in rural areas with limited healthcare access. Thus, this study aimed to identify the influential factors associated with comorbid psychiatric symptoms and hypertension in rural Bangladesh using machine learning (ML) algorithm...

Enhancing salt stress tolerance in sugar beet via TiO2 nanoparticles: a machine learning approach.

In this study, the biostimulant potential of titanium dioxide (TiO2) nanoparticles was investigated to enhance sugar beet (Beta vulgaris L.) seed response to salt stress. Controlled applications were conducted at different NaCl (0-200 mM) and TiO2 (0-1,800 ppm) levels, and eight key morphological and physiological parameters were evaluated. In the first stage, the individual and interactive effect...

The Influence of Patient Persona and Affective Framing on Management Recommendations of ChatGPT, Gemini and Claude for Unruptured Intracranial Aneurysms: A Comparative Benchmarking Study.

Patients increasingly consult large language models (LLMs) before specialist review and may do so in widely differing emotional registers. We examined...

Neurons Die Not by One Hit, but by Signaling Convergence.

There is an emerging understanding of neurodegenerative diseases as complex diseases with a combination of multiple interrelated signaling pathways as...

Stress-Constrained Physics-Informed UNet for Voxel-Wise Multiparameter Hyperelastic Inversion in Volumetric Medical Imaging.

PURPOSE: To develop and evaluate a stress-constrained physics-informed UNet framework for voxel-wise, multiparameter hyperelastic characterization of ...

Are Artificial Intelligence and Robot Nurses a Threat to Student Nurses?: A Quasi-Experimental Study.

BACKGROUND: With the continuous advancement of technology, it is predicted that artificial intelligence technologies will be utilised more by academic...

Physician-Supervised ChatGPT-Assisted Versus Physician-Led Informed Consent for Reducing Preoperative Anxiety: A Randomized Controlled Trial.

PURPOSE: To evaluate whether ChatGPT-assisted informed consent (IC) is noninferior to conventional physician-led IC in reducing preoperative anxiety (...

Integrative Identification of Anti-Photoaging Peptides From Stress-Tolerant Microorganisms via Machine Learning and KEAP1-NRF2 Docking.

Excess reactive oxygen species generated by ultraviolet exposure cause photoaging by degrading collagen and inhibiting its synthesis. This study prese...

The role of catastrophizing in anxiety and depression symptom scores among knee osteoarthritis patients: a multimodal assessment with EEG and machine learning.

To examine dimensional associations between anxiety- and depression-related symptom severity, pain catastrophizing, and resting-state EEG features in ...

Decoding multifactorial stress responses in plants: lessons from omics integration.

Plants in natural and agricultural environments are continuously exposed to multiple simultaneous abiotic stresses whose combined effects markedly dif...

Machine Learning Frameworks for Wearable-Based Stress Modeling in Naturalistic Settings: Scoping Review.

BACKGROUND: Stress, as commonly recognized, is an integral part of modern life and can significantly affect both mental and physical health. While sub...

College Students' Trust in Generative AI for Mental Health.

OBJECTIVE: This study aimed to examine college students' trust in generative artificial intelligence (AI) for mental health information and decisions....

How microplastics influence health risk pathways in urban water systems? integrated binary classification, machine learning and structural equation modeling approach.

Microplastic contamination in urban water systems poses emerging risks to human health, yet integrated frameworks linking sources, exposure pathways, ...

Data-derived prototype profiles with GRPF-PPN for interpretable student stress prediction from psychometric tabular data.

Student stress prediction requires models that are both accurate and interpretable. This study proposes GRPF-PPN, a Gated Residual Prototype-Fusion Ps...

Stress Reactions in Bone and Stress Fractures.

The term "stress fracture" encompasses a spectrum of bone injuries resulting from repetitive submaximal loading that exceeds the bone's capacity for r...

Psychoneuroimmunology-informed strategies for early detection of biological threat exposure: Insights from experimental rodent models.

The growing frequency of emerging infectious diseases, antimicrobial resistance, and accidental or deliberate biological threat releases underscores t...

AI-Related Stress and Suicidal Tendencies in a Primary Care Cohort: Clinical Audit.

Rapid AI integration has introduced novel psychosocial stressors. Little is known about AI-specific clinical impacts in resource-limited settings. Thi...

Perceptions of simulated artificial intelligence in medical consultations: associations with stress, memory, and perceived credibility.

The growing integration of digital technologies into healthcare requires understanding the impact of different consultation modalities on patient stre...

Nanograting and Micro-Protrusions Synergistic Dielectric Responses in Flexible Pressure Sensors for Ultrawide-Range Human-Machine Perception.

Simultaneously achieving high sensitivity and a broad sensing range remains a fundamental challenge for flexible capacitive pressure sensors. Herein, ...

Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.

BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a...