Anxiety & Stress

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 comprehensively explore the expression characteristics and prognostic value of selenium-related genes in rectal adenocarcinoma (READ), and investigate the biological effects of selenium supplement on READ cells. METHODS: The differentially expressed genes (DEGs)...

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...

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...

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...

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...

Assessing health-regulating ecosystem services in rural landscapes: An integrated approach using physiological and visual semantic data.

To support health-oriented rural revitalization, effective management of rural green infrastructure requires robust tools for quantifying restorative ...

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...

Association of lipid profiles with suicide attempts in young adults with first-episode drug-naive major depressive disorder: a gender-specific analysis.

Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dysregulation is implicated in MDD pathophysiology, i...

Trajectory analysis of sleep disorders and anxiety-depression in female breast cancer patients undergoing chemotherapy: based on group-based Multi-Trajectory Model and machine learning.

BACKGROUND: Sleep disorders and anxiety-depression symptoms can significantly impair the quality of life and treatment adherence among breast cancer p...

Noninvasive and minimally invasive approaches for acute and chronic stress assessment in dairy cattle.

In modern dairy production, cattle are routinely exposed to a wide range of management-related, environmental, and biological stressors all of which c...

From molecular mechanisms to digital surveillance: the 2010-2025 evolution of benzodiazepine and Z-drug misuse research.

The misuse of benzodiazepines (BZDs) and Z-drugs poses significant global public health challenges. This study maps the scientific evolution and parad...