Anxiety & Stress

Using human-robot interaction to assess emotion recognition in dialysis patients: A preliminary study.

This cross-sectional observational study examined the relationship between psychological factors and multimodal emotion recognition abilities in patients with chronic kidney disease (CKD), introducing a humanoid robot as an innovative assessment modality. Sixty adults undergoing dialysis and awaiting renal transplantation (63.3 % male; mean age = 53.95 years, range 20-80) completed three emotion r...

Attitudes toward AI in health- and non-health-related contexts: Context matters, not mood or perceived social support.

As artificial intelligence (AI) systems increasingly permeate healthcare and daily life, understanding the factors that shape attitudes toward their use is crucial. This study examined how individuals' general attitudes toward AI and their willingness to use AI-based tools in specific situations vary, and how these relate to mood, pain-related affective traits, and perceived social support. A tota...

Shear stress optimization and smart control strategies toward AI-integrated tissue culture systems.

Shear stress serves as a key physical stimulus in three-dimensional (3D) cell culture systems, regulating critical physiological processes such as cel...

Tailored psychotherapy and AI-enhanced contingency management for co-occurring disorders in cannabis use disorder: a systematic review.

BACKGROUND: Cannabis use disorder (CUD) commonly co-occurs with depression, post-traumatic stress disorder (PTSD), anxiety, and attention-deficit/hype...

Improvement of salt stress tolerance in Salvia officinalis L. by co-culture with halophytic plants: comparative study with Aptenia cordifolia and Spergularia salina.

BACKGROUND: Soil salinity is a major abiotic stress limiting crop productivity, particularly for glycophytic species such as sage (Salvia officinalis ...

Machine learning-enabled meta-analysis reveals the effect of microplastics on nitrogen removal performance in constructed wetlands and its potential mechanisms.

Constructed wetlands (CWs) are an effective wastewater treatment system and an important sink for microplastics (MPs). However, MPs impacts on nitroge...

Comprehensive Insight into Analytical Strategies for the Determination of Zolpidem and Its Metabolites in Different Matrices.

Zolpidem (ZLP), a non-benzodiazepine hypnotic of the imidazopyridine class, is widely prescribed for the short-term management of insomnia owing to it...

Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach.

BACKGROUND: Postpartum maternal mental health (MMH) symptoms, including depression, anxiety, and childbirth-related post-traumatic stress disorder, ar...

The lived experience of social anxiety disorder: A conceptual model focused on adolescents and young adults based on published literature and social media listening.

Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characterized by an intense fear of social situations involv...

An exploratory randomized controlled trial of an AI-enabled mental health intervention for generalized anxiety.

Generalized Anxiety Disorder (GAD) is prevalent and often co-occurs with depression, contributing to significant disability and healthcare burden. Alt...

Integrated network pharmacology and bioinformatics analysis reveals MME as key target of Notoginsenoside R1 in diabetic nephropathy.

BACKGROUND: Diabetic nephropathy (DN) is a major diabetes complication and a primary cause of end-stage renal failure. Notoginsenoside R1 (NGR1) is kn...

Improving patient understanding of radiology reports using generative artificial intelligence: a vignette study of 2000 US adults.

OBJECTIVES: Patients value access to their medical reports on patient portals, but the terminology in those reports can cause confusion and anxiety. C...

Predicting Depression Risk Among Chinese College Students From Childhood Adversity and Recent Stress Exposure Using Interpretable Machine Learning.

Previous research has shown that both early-life stressors (e.g., adverse childhood experiences) and recent stress exposure (e.g., recent life events)...

A comprehensive analysis reveals the molecular mechanisms linking preservatives to prostate cancer risk.

BACKGROUND: Preservatives, widely used in food and skincare products, may influence prostate cancer (PCa) development. This study explores the effects...

Identifying a conserved transcriptional signature of drought and salt stress in Arabidopsis thaliana through meta-analysis, consensus network analysis, and deep learning.

Understanding plant responses to abiotic stress is critical for improving stress resilience. Here, we performed an integrative analysis that uniquely ...

Disulfidptosis in osteoarthritis: Role of SLC2A3 downregulation and potential therapeutic implications.

OBJECTIVE: Disulfidptosis is a newly recognized form of regulated cell death characterized by actin cytoskeleton collapse under disulfide stress. Rece...

Oxidative stress-associated genes TPPP3 and VEGFA in COPD revealed by bulk and single-cell sequencing analysis.

Chronic obstructive pulmonary disease (COPD) is characterized by chronic airway inflammation and is closely linked to oxidative stress. This study aim...

Emerging roles of artificial intelligence/machine learning (AI/ML) towards new understandings in molecular crosstalk between circRNA-CUL3-TKI to resensitize chemoresistant cancers.

Cancer arises and is resistant to therapy via intricate molecular networks that are poorly characterised. While individually, Cullin-3 (CUL3) and circ...

Where is the 'Anxious' in climate anxiety? Evidence from Chinese social media big data.

Climate anxiety has emerged as a significant global psychological and social response to climate change, potentially shaping public engagement and sup...

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable disease course. This stud...