Bipolar Disorder

SSA(BBO)-optimized neural networks for remaining useful life estimation and health monitoring of lithium-ion batteries.

Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries is crucial for advancing battery health management, enhancing safety, and improving the efficiency of electric vehicles and energy storage systems. This study introduces a novel hybrid deep learning framework that integrates a deep neural network (DNN) with advanced optimization algorithms, including Biogeography-Based...

Machine learning models of depressive symptoms in middle-aged and elderly patients with chronic kidney disease: A cross-sectional study based on CHARLS.

This study aimed to develop and compare the performance of machine learning models in identifying depressive symptom status among middle-aged and elderly patients with chronic kidney disease (CKD), while identifying key factors that influence depressive symptoms. Data from the 2015 China Health and Retirement Longitudinal Study were used to construct the training and validation sets, while data fr...

A machine learning approach to profiling anxiety risk among cancer patients on treatment.

PURPOSE: Previous literature has identified multiple risk factors for anxiety among individuals with cancer. However, the relative importance across m...

Human-Guided Bayesian Optimization Enables High-Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium-Ion Batteries.

Silicon suboxide (SiOx) has attracted significant attention as a promising anode material for next-generation lithium-ion batteries due to its high ca...

Ultrafast reset-free integrated polarization tracking enabled by thin-film lithium tantalate.

The rapid growth of artificial-intelligence computing demands high-bandwidth and energy-efficient data-center interconnects. Although self-homodyne co...

Debate: Conversational AI and young people's mental health - friend or foe? - conversational AI and young people's mental health: the case for clinically informed design.

Conversational AI is increasingly being used by young people for emotional support, advice and conversations about personal concerns. Emerging evidenc...

Integration of cognitive behavioral therapy and mobile health applications among university students with depression: a qualitative study.

BACKGROUND: Most applications for depression lack comprehensive theoretical integration and qualitative assessments of university students' needs rema...

Activation of sigma non-opioid intracellular receptor 1 (S1R) receptor inhibits plexin domain containing 2 (Plxdc2) driven microglial inflammation to ameliorate depressive-like behaviours in mice.

BACKGROUND AND PURPOSE: Microglia are central regulators of neuroinflammation in depression. Drivers involved remain incompletely understood. Sigma no...

Passive Screening for Depressive Symptoms Using Daily Wrist Actigraphy and Deep Learning: Model Development and Validation Study.

BACKGROUND: Depressive symptoms are common yet often underrecognized in routine care, underscoring the need for scalable screening approaches beyond e...

Complex dynamics in psychological data: Mapping individual symptom trajectories to group-level patterns.

This study integrates causal inference, graph analysis, temporal complexity measures, and machine learning to examine whether individual symptom traje...

Estimating blood-brain barrier exchange rate using diffusion-weighted arterial spin labeling and physics-guided neural networks.

This study proposes physics-guided neural network (PgNN) approaches for estimating perfusion and blood-brain barrier (BBB) water permeability paramete...

Predicting comorbid anxiety in adolescents with major depressive disorder: an EEG-based machine learning approach with SHAP interpretability.

Comorbid anxiety in adolescents with major depressive disorder (adMDD) is linked to higher suicide risk and poorer prognosis, necessitating precise sc...

Integrative multi-omics reveals MHC class II-mediated neuroinflammation and systemic metabolic dysregulation as transdiagnostic drivers in major brain disorders.

Psychiatric, neurodevelopmental, and neurodegenerative disorders, including Alzheimer's disease (AD), attention-deficit/hyperactivity disorder (ADHD),...

Attention-Enhanced Static-Dynamic Fusion Network for Major Depressive Disorder Diagnosis.

OBJECTIVE: Accurate depression classification using fNIRS signals is critical for objective auxiliary diagnosis, yet many existing methods separately ...

Unifying the hallmarks of major depression through neuroimmune-metabolic-oxidative (NIMETOX) dysregulation: a mechanistic systems framework.

Current state-of-the-art neuroimmune, metabolic, and oxidative stress (NIMETOX) knowledge that has been developed in clinical major depressive disorde...

Frequency-decomposed EEG microstate analysis reveals altered cross-frequency coordination in adolescent major depressive disorder.

Adolescent major depressive disorder (MDD) involves alterations in large‑scale brain network dynamics. However, conventional EEG microstate studies ty...

A PCA-enhanced XGBoost framework for combined SOC and SOH estimation in lithium-ion batteries.

Accurate estimation of State of Charge (SOC) and State of Health (SOH) is critical for safe and reliable operation of lithium-ion batteries under temp...

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 ...

Discovering Early-Stage Gas Generation Kinetics Enables Thermal Runaway Early Warning in Lithium-Ion Batteries.

Early warning of thermal runaway (TR) in lithium-ion batteries remains constrained, as conventional indicators emerge after irreversible failure. Here...

Can speech reveal mental health status? A study of linguistic features across multiple samples of at-risk adults.

An urgent challenge in clinical science is the reliable detection of psychiatric risk in the aftermath of traumatic or stressful events. Current scree...