Anxiety & Stress

Artificial intelligence and academic anxiety? a meta-analysis.

BACKGROUND: Academic anxiety negatively impacts students' performance and well-being. Although AI technologies are increasingly used in education, findings on their effectiveness in reducing academic anxiety remain mixed. OBJECTIVE: This meta-analysis quantified the overall effect of AI interventions on academic anxiety and identified potential moderators. METHODS: A systematic search identified 2...

A randomised controlled trial comparing effectiveness of audio-visual aid and ai-personalised video self-modelling interventions to reduce dental fear and anxiety in paediatric patients.

PURPOSE: Paediatric dental anxiety remains a significant challenge in clinical practice, often impacting co-operation and treatment outcomes. This randomised controlled trial compares the anxiety-reducing effects of AI-based self-modelling versus standard video modelling. METHODS: A single-blind, parallel-arm randomised controlled trial was conducted on 80 children aged 6-12 years requiring restor...

When attention falters: Brain, breathing, and behavioral signals of lapses in interoceptive attention.

Mind‑body practices, such as meditation and yoga, involve paying attention to breathing sensations. During these practices, individuals report "intero...

Assessment of global research trends on technological and AI-driven strategies for mitigating climate-induced heat stress based on 20 years bibliometric database.

Climate-induced heat stress has emerged as a serious global challenge due to rising temperatures, frequent heatwaves, and rapid urbanisation. These ch...

Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study.

BACKGROUND: Functional impairments associated with mental health conditions are on the rise. Predicting functional outcomes may improve the targeting ...

A scoping review of the use of artificial intelligence as a psychological assessment tool.

Mental health disorders are highly prevalent worldwide, yet access to timely and effective mental health assessment (and care) remains limited. Artifi...

AI self-efficacy and anxiety among university teachers.

With the rapid integration of AI into higher education, teachers' psychological responses are critical for technology adoption. This study examines AI...

HyperCOCO: Multi-sensory HyperCOgnitive COmputing for learning population level brain connectivity.

Learning a high-order connectional brain template (CBT) endowed with cognitive capacities such as visual or auditory memory is crucial for identifying...

Quantitative Assessment of Nanoplastic Toxicity Risks Across Aquatic Trophic Levels with Data-Driven Models and Exposure Experiments.

Emerging contaminants such as nanoplastics (NPs) pose significant risks to aquatic ecosystems. However, the key features governing NPs toxicity and th...

Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions.

Eye-tracking signals such as pupil diameter and gaze behavior have been widely used for stress detection, yet most approaches rely on task-specific fe...

Association between long-term PM2.5 exposure and risk of urinary tract infection in children: a nationwide longitudinal cohort study.

BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children and can lead to both acute and chronic complicatio...

Integrated network toxicology and experimental validation to investigate potential mechanisms associated with aspartame-induced malignant phenotypic changes in colorectal cancer.

To investigate the potential molecular mechanisms underlying aspartame (APM)-induced malignant phenotypic changes in colorectal cancer (CRC). Candidat...

Exploring the immune landscape and immunotherapy relevance of ER stress-related lncRNAs in melanoma through multi-omics and explainable machine learning.

BACKGROUND: Melanoma is a highly aggressive malignancy with poor clinical outcomes, and endoplasmic reticulum (ER) stress plays an important role in t...

Promoting Psychological Resilience and Well-Being in Youth With a Smartphone-Based Ecological Momentary mHealth Intervention: Secondary Analysis of a Microrandomized Trial.

BACKGROUND: Ecological momentary interventions (EMIs) may be a promising tool for promoting mental well-being in youth, as they allow for targeting re...

Neuroimmune mechanisms in PTSD: inflammatory heterogeneity, circuit dysfunction, and biomarker-based subtypes.

Post-traumatic stress disorder (PTSD) is characterized by exaggerated fear response, anxiety, hyperarousal and sleep disturbances. One of the major pa...

The Digital Mirror: Clinical Potentials and Relational Risks of Generative AI in Mental Health Interventions.

PURPOSE OF REVIEW: This review explores the rapidly evolving integration of Generative Artificial Intelligence (GenAI) in mental health care. It aims ...

Mechanical and flexural fatigue behaviour of steel fibre reinforced RAP-based concrete: experimental and machine learning investigation.

This study examines the mechanical and flexural fatigue behaviour of concrete with reclaimed asphalt pavement (RAP) aggregates with and without steel ...

Circ-EnviroPredict: A machine learning-based tool to predict potential involvement of circRNAs with cold and drought stress through a Word2Vec approach.

Circular RNAs (circRNAs) are a class of RNAs characterized by a covalently closed loop structure formed between the 5' and 3' splice sites. Over the y...

ULK1's role in cancer progression and its emerging therapeutic potential.

Macroautophagy (autophagy) enables cellular stress adaptation by degrading damaged components; ULK1, a serine/threonine kinase, initiates this process...

The interplay between actual and perceived air pollution, physical activity, and stress across mobility-based geographic contexts: A double machine learning approach.

The social ecological framework emphasizes the necessity of integrating individual characteristics, behavioral patterns, environmental factors, and he...