Anxiety & Stress

Stomatalia: a deep learning-based platform for quantitative stomata and pavement cell analysis.

BACKGROUND: Stomata and pavement cells are fundamental components of the leaf epidermis, jointly regulating gas exchange, water loss, and leaf surface expansion. Stomata size, aperture, density, and pavement cell morphology are critical parameters for assessing plant transpiration efficiency, epidermal growth dynamics, and adaptive responses to environmental constraints. Despite their biological i...

Discovery of hub genes linking oxidative stress to type 2 diabetic sarcopenia using single-cell sequencing and machine learning.

Type 2 diabetes mellitus (T2DM) and sarcopenia demonstrate a significant comorbidity, particularly in the elderly, yet the molecular mechanisms linking them, especially through oxidative stress, remain incompletely understood. This study aimed to identify oxidative stress-related hub genes involved in T2DM-associated sarcopenia (T2DS) by integrating single-cell RNA sequencing (scRNA-seq) and bulk ...

Expression characteristics analysis, establishment of prognostic model and screening of key regulators based on selenium protein-related genes in rectal adenocarcinoma.

BACKGROUND: Selenium is an essential trace element in the human body and plays a significant role in multiple cancers. This study aims to comprehensiv...

Phenotypic Differentiation Between Highland and Coastal Quinoa Under Cold Stress Conditions.

Quinoa (Chenopodium quinoa Willd.) is a genetically diverse Andean crop valued for its nutrition and adaptability to varied agro-climatic conditions w...

A wearable device dataset for mental health assessment using laser Doppler flowmetry and fluorescence spectroscopy sensors.

BACKGROUND: Mental health conditions such as depression, anxiety, and stress are commonly assessed using self-reported questionnaires and limited wear...

Integrating Nonpharmacologic Strategies for Pain with Inclusion, Respect, and Equity (INSPIRE): Cultural and linguistic tailoring for a digital health intervention.

Chronic pain (CP) disproportionately affects underserved populations who often experience barriers to evidence-based nonpharmacologic treatments. Digi...

ELMERF: A deep-learning-assisted hydroponic RGB phenotyping framework for rice seedling salt-stress evaluation and genetic mapping.

Rice seedling salt-tolerance evaluation commonly relies on visual scoring or destructive assays, which are subjective, labor-intensive, and difficult ...

Psychological Impacts of Instagram Use: The Interplay of Social Comparison, Self-Esteem, and Anxiety.

Excessive Instagram use has been linked to negative effects on psychological well-being, particularly through Social Comparison, Self-Esteem, and Anxi...

Adoption of Artificial Intelligence-Based Precision Mental Health Technologies Among Psychology Trainees: Mixed Methods Cross-Sectional Survey Study.

BACKGROUND: Despite the significant benefits of artificial intelligence (AI) in mental health, real-world implementation remains limited, making it es...

Alleviating Nurse Burnout With an Artificial Intelligence-Selected Mobile Cognitive Behavioral Therapy-Based Intervention: Mixed Methods Randomized Controlled Trial.

BACKGROUND: Nurse burnout is a pervasive global problem. Cognitive behavioral therapy (CBT) has been shown to reduce burnout; however, most digital CB...

Neuroimaging-derived biotypes of self-reported insomnia symptoms are differentially associated with affective symptoms.

BACKGROUND: Sleep problems are among the most prevalent health complaints during adolescence and show a reciprocal relationship with the development o...

Accelerated brain aging in Veterans with posttraumatic stress symptoms and mild traumatic brain injury.

Exposure to trauma and mild traumatic brain injury (mTBI), which often co-occur and can both trigger acute and chronic pathophysiological processes, h...

Who benefits most? A randomized controlled trial for Parent-implemented social communication intervention for chinese-speaking autistic preschoolers.

BACKGROUND: Parent-implemented interventions (PIIs) are well established for improving developmental outcomes in autistic children. As evidence has ac...

Systematic Review and Exploratory Meta-Analysis of AI-Enabled and Digital Technology-Assisted Interventions for Dental Anxiety During Dental Treatment.

BACKGROUND: Dental anxiety adversely affects receiving dental care when needed. Artificial intelligence (AI)-enabled and digital technology-assisted i...

Forecasting stress transitions using ecological momentary assessment data and machine learning.

Stress is associated with many negative effects, including inadequate sleep, reduced learning and memory, and a higher risk of mental health condition...

Unraveling the adverse outcome pathways of metabolic dysfunction-associated steatotic liver disease triggered by environmental mixtures via biological knowledge-driven machine learning.

Environmental pollutant mixtures are potential risk factors for metabolic dysfunction-associated steatotic liver disease (MASLD), yet their joint effe...

Aspartame exposure promotes endometriosis progression through PTGS2-mediated oxidative stress and mitochondrial dysfunction.

BACKGROUND: Aspartame, a widely used artificial sweetener, has been implicated in multiple toxicities. However, its potential reproductive toxicity me...

Deep Learning-Based Surrogate Model of Subject-Specific Finite-Element Analysis for Vertebrae.

Subject-specific finite-element analysis (FEA) models enable accurate simulation of vertebral biomechanics but are often time-consuming to construct a...

How Scale Breaks "Normalized Stress" and KL Divergence: Rethinking Quality Metrics.

Complex, high-dimensional data is ubiquitous across many scientific disciplines, including machine learning, biology, and the social sciences. One of ...

From Tradition to Future in Veterinary Public Health Education: Students' Attitudes, Anxiety and Experiences With AI-Supported Learning.

BACKGROUND: Artificial intelligence (AI) has the potential to reshape learning processes, especially through tools such as ChatGPT. OBJECTIVES: This s...