Anxiety & Stress

Integrating morphophysiology, gene expression and machine learning to characterize salt and drought stress responses in dragon fruit.

Abiotic stresses are major environmental constraints that limit plant growth and productivity, particularly in arid and semi-arid regions where salinity and drought frequently occur simultaneously. In this study, the effects of salt stress (150 mM NaCl), PEG-induced drought stress (4% PEG-8000), and their combined application on the in vitro responses of dragon fruit (Hylocereus undatus) were eval...

RRM2B is associated with low-level viremia during entecavir therapy in pediatric chronic hepatitis B and promotes profibrotic signaling in vitro.

BACKGROUND: Low-level viremia (LLV) during nucleos(t)ide analogue therapy for chronic hepatitis B (CHB) is clinically relevant, but its biological basis in children remains unclear. We investigated the clinical features of pediatric LLV and sought host factors linking incomplete virological suppression to stress adaptation and profibrotic signaling. METHODS: Children with CHB who initiated entecav...

Leveraging social media footprints for predicting college student anxiety: a machine learning approach.

BACKGROUND: Anxiety is one of the most prevalent mental health concerns among college students worldwide, yet traditional assessment methods relying o...

Cell wall dynamics and their regulation by biomolecular condensates in plants.

Plant cell walls are dynamic composite structures whose biogenesis, remodelling, and integrity maintenance require coordinated regulation across biosy...

Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.

Salinity is a chronic environmental stressor causing irreversible damage to plants and resulting in significant economic losses. Early bioinformatics ...

Predictors of Clinically Significant Anxiety in Non-autistic Siblings of Children With Autism.

OBJECTIVE: As the prevalence of autism rises, attention to the well-being of siblings of autistic individuals is increasingly important. The present s...

How WRKY transcription factors fine-tune specificity in plant stress responses: from W-box to regulatory code.

WRKY transcription factors are among the largest plant-specific transcription factor families and play central roles in coordinating gene expression d...

Advancing stress biotechnology for robust sustainable bioproduction.

Environmental stressors compromise the economic viability of microbial bioproduction, making enhanced microbial robustness essential. While traditiona...

Image-guided multiscale modeling of trabecular bone: lacuna-resolved stress amplification and interaction effects.

Osteocyte lacunae are ubiquitous microstructural cavities in bone that perturb local stress and strain fields, shaping the mechanical microenvironment...

Integrating plant growth-promoting rhizobacteria and machine learning for drought tolerance assessment in green bean (Phaseolus vulgaris L.).

Drought stress is one of the most critical constraints limiting crop productivity worldwide, particularly under increasing water scarcity driven by cl...

Brain network correlates of fatigue, depression, and anxiety in patients with Crohn's Disease in different disease states.

BACKGROUND: Symptoms of fatigue, depression or anxiety are frequent in Crohn's Disease (CD) and may relate to disturbed brain-gut interactions. While ...

Artificial intelligence literacy, rather than artificial intelligence anxiety, is associated with career optimism in physiotherapy and rehabilitation students: a cross-sectional study.

BACKGROUND: Artificial intelligence (AI) is increasingly reshaping health professions education, but its relationship with students' future career out...

Portraying Ethical Risks of Medical AI: Mixed Methods Study From Connotation Definition to a Survey on Physicians' Cognition.

BACKGROUND: Ethical risks of medical artificial intelligence (AI) are a global concern, but existing understanding remains fragmented without an integ...

Multimodal health monitoring and theranostics based on functionalized hydrogels and artificial intelligence.

Functionalized hydrogels are ideal flexible interfaces for multimodal health monitoring and integrated diagnosis-therapy systems, owing to their tissu...

Plasticizer-related toxicogenomic signatures in gestational diabetes: Mendelian randomization, placental single-cell transcriptomics and trophoblast validation.

Plasticizer exposure has been associated with gestational diabetes mellitus (GDM), but the placental toxicogenomic mechanisms that may connect environ...

Mindfulness and artificial intelligence self-efficacy among university students: the mediating role of artificial intelligence literacy.

University students now use artificial intelligence (AI) tools in several academic activities, including information retrieval, writing support, and p...

Identification of the oxidation stress-related gene signatures and functional verification of MINK1 in prostate cancer cells.

BACKGROUND: A major challenge facing prostate cancer (PCa) cells is oxidative stress, yet the precise role and underlying mechanisms remain inadequate...

Atrazine Induces Alzheimer's Disease-Like Neurotoxicity by Targeting SDHB and Disrupting Synaptic Function: An Integrated Bioinformatic and In Vivo Study.

Atrazine (ATR) is a globally prevalent herbicide linked to increased risks of cognitive impairment and neurodegeneration, but its molecular mechanism ...

Capturing omega sign in the clinical assessment of depression by deep learning.

The omega sign is a melancholic facial expression, resembling the Greek letter omega "Ω". To study static omega sign (visible full-blown Ω-shaped or v...

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...