Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Fine particulate matter (PM) is recognized as one of the most harmful environmental pollutants to human health. Current research indicates that PM exhibits neurotoxic effects, though the specific mechanisms remain unclear. In this study, SH-SY5Y cells were exposed to PM (100μg/mL for 24h) to observe its effects on the expression of Alzheimer's disease (AD)-related proteins and explore the possible...
Late-gestation in utero heat stress derails organ development and growth, leading to reduced first-lactation milk yield. Yet, carry-over effects of in utero heat stress on peripubertal heifers remain unexplored. This study investigated the long-term effects of in utero heat stress on body growth, mammary gland (MG) development, and ovarian function in peripubertal heifers. Dry, pregnant cows were ...
Shrimp oil is rich in polyunsaturated fatty acids and astaxanthin, which possesses high antioxidant activity. This study aimed to investigate the impa...
The innovative technologies are becoming widespread in all spheres of human life, including labor protection. The AI, modern systems of monitoring and...
: A comorbidity between Borderline Personality Disorder (BPD) and Posttraumatic Stress Disorder (PTSD) is common, severely disabling, and hard to trea...
: The integration of artificial intelligence (AI) into mental health care is reshaping psychological support systems, particularly for digitally liter...
Aquatic organisms are increasingly affected by polystyrene nanoplastics (PSNPs), which have the potential to disrupt development, induce oxidative str...
BACKGROUND: The potential for digital interventions in self-management and treatment of mild to moderate eating disorders (EDs) has already been estab...
One of the areas where artificial intelligence (AI) technologies are used is the detection and diagnosis of mental disorders. AI approaches, including...
Acoustic monitoring presents a promising, non-invasive modality for assessing animal welfare in precision livestock farming. In poultry, vocalizations...
This study aimed to compare Generations X, Y, and Z in terms of anxiety and readiness levels regarding artificial intelligence and investigate the rel...
As artificial intelligence (AI) technology quickly grows, college students have new worries and fears. Using Marx's theory of labour alienation, this ...
Deep learning has significantly advanced in predicting stress-strain curves. However, due to the complex mechanical properties of rock materials, exis...
Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at high risk for suicidal behavior. As a result, mac...
INTRODUCTION: Perinatal depression and anxiety (PDA) is associated with a high risk of maternal mortality. Existing data shows that 95% of maternal mo...
Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) remain elusive in treatment-resistant depression (...
This study investigates the relationship between self-reported psychological distress and emotions in social media posts, using a deep learning-based ...
Physician burnout, a growing crisis in the healthcare system of the United States of America (USA), is characterized by long-term job-related stress t...
Patellar tendinopathy is prevalent in sports requiring high jumping demands, and understanding the in vivo biomechanical behavior of the patellar tend...
AIMS: Children in clinical settings are prone to anxiety due to developmental limitations, which hinders treatment progress. This systematic review an...