Behavioural and Social Computing

.- MyEcoPal: Bridging the Gap between Sustainability Understanding and Sustainable Actions. .- Uncovering the Nexus Between Attitudes Toward LLMs and Problematic Dependency on Them: A Latent Profile Analysis. .- The Effectiveness of Balanced Product Explanations for Decision Support in Online Shopping. .- How Warnings of Product Drawbacks Affect Online Shopping Decisions. .- Temporal Inference of Psychosocial States from Digital Biomarkers for Just-In-Time Adaptive Interventions. .- Exploring Global Patterns of Social Media Disorder: The Role of Sociodemographic Factors. .- Research and Application of AI Decision System for Perioperative Period Based on Smart IoT and WIRE Database. .- Real-Time Multimodal Hazard Detection for Assistive Wheelchair Navigation. .- Density Harmonized Gradient Descent Online Active Learning for Imbalanced Data Streams. .- Early Detection of Multimodal Hot-Topic Misinformation in User-Generated Content. .- Prompt-based Zero-shot Learning in Large Language Models for Recommender Systems: A Reproducibility Study. .- MacCDR: a Memory-Augmented Cluster-Level Preference Mapping Framework for Cross-Domain Cold-Start Recommendation. .- PFRCRP: Parameter-Factorized Personalized Federated Recommendation for Cross-Domain Rating Predictions. .- Enhancing the Training Process with Multi Metrics for Session-based Recommendations. .- Interpretable Recommendation via Semantic and Syntactic Knowledge Enhanced Aspect-based Sentiment Analysis. .- Large-scale Weakly Supervised Person Re-ID: Towards Generalizable and Scalable Solutions. .- ExamEaseVR: An Immersive Virtual Reality Exposure System for Alleviating Test Anxiety. .- An Exploration of ChatGPT in Personalized Learning: Behavioral Flow Analysis of Graduate Student Interactions. .- Design and Implementation of an AI Agent-Based Collaborative Platform for Software Engineering Education. .- Designing an Interactive Al-Supported Learning System for Mathematics Education in Primary Schools. .- Theory-Informed vs. Example-Driven Prompting for LLM-Based Qualitative Data Coding in Educational Research. .- DFST-Net:Dual-Frequency Spatiotemporal Graph Neural Network for Traffic Forecasting. .- Analysis of Tongue Image Data Augmentation and Classification Methods Based on Multi-Attribute Features. .- Discovering Brain Functional Connectivity in Parkinson's Disease from Graph Mining  Perspectives. .- Machine Learning-Ready Genomic Biomarkers: ATF3 Polymorphisms Predict Postoperative Analgesic Demand Through AI-Compatible Phenotyping. .- Dual-Level Contrastive Learning for Patient Condition Representation with Multimodal Electronic Health Records. .- Text-Enhanced Panoptic Symbol Spotting in CAD Drawings. .- Ensemble Transformer-Based Multiple Instance Learning for Predicting Neoadjuvant Chemotherapy Response from Breast Cancer Biopsy Whole-Slide Images. .- DCKG: A Dual-view Collaborative Knowledge Graph for Pull Request Recommendation. .- Optimized Feature Extraction and Alignment for Cross-Modal Molecule Retrieval. .- MolJury: A Role-Driven Multi-Agent Architecture for Factual Molecular Understanding. .- EquiMapLE: High-Fidelity and High-Throughput Molecular Analogue Screening with Equivariant Fingerprints and Learned Fusion. .- KGsteeredDTI: Drug-Target Interaction Prediction via Knowledge Graphs-Steering.