Humanities and Social Sciences

Multi-Omics Analysis of Coronary Heart Disease Networks

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Integrated metabolomic and proteomic analyses reveal that coronary heart disease progression—from stable angina pectoris to acute myocardial infarction—features a dramatic escalation in molecular pathway crosstalk, culminating in a tightly coupled “molecular storm” characterized by heavily connected hubs such as L-glutamate and KNG1. Stage-by-Stage Pathway Expansion in Coronary Heart Disease The number of pathways co-enriched in … Read more

ESMDynamic: Fast Protein Dynamic Contact Map Prediction

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ESMDynamic is a deep learning model that predicts residue-residue contact dynamics directly from protein sequence, according to recent structural biology data. By mapping conformational variability across experimental structure ensembles and molecular dynamics simulations, the model forecasts dynamic contact probabilities, contact occupancy fractions, and coarse-grained kinetics across multiple temperatures. How ESMDynamic Predicts Protein Conformational Dynamics Understanding … Read more

Enhanced Tomato Leaf Disease Detection with YOLOv11n-DeiT

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Optimizing Real-Time Object Detection: The Shift to YOLOv11n and Transformer Backbones The latest advancements in the YOLO (You Only Look Once) architecture, specifically the integration of the YOLOv11n model with the Distilled Vision Transformer (DeiT), have set a new benchmark for accuracy and efficiency in real-time object detection. According to research evaluating performance on the … Read more

How Exercise Affects Supersulfides in Skeletal Muscle

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Supersulfides play a major role in regulating antioxidant and anti-inflammatory systems within skeletal muscles during physical exertion, according to recent experimental data. While physical activity is widely known to enhance muscle antioxidant capacity, the precise molecular mechanisms have largely remained unclear. New findings published from animal model studies point directly to supersulfide metabolism as a … Read more

Optimizing User Engagement in Virtual Reality Using Ensemble Deep Learning

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Adaptive Virtual Reality Design using Immersion Levels and User Engagement (AVRDIL-UEGE) achieves a classification accuracy of 98.40% and a Matthews correlation coefficient of 0.95 on benchmark datasets, according to recent technical research addressing the persistent challenge of recognizing user immersion and involvement in virtual reality environments. The Immersion Bottleneck in Modern Virtual Reality Virtual reality … Read more

Coal Mine Spontaneous Combustion: Gaojiapu Top-Coal Caving Fire Prevention

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Analysts evaluating the 3406 fully mechanized top-coal caving face have mapped precise goaf temperature zones to mitigate spontaneous combustion risks, according to recent engineering evaluations. By combining temperature-programmed oxidation experiments with COMSOL multiphysics modeling, researchers identified critical indicator gases and established an integrated fire prevention scheme utilizing grouting and nitrogen injection. Identifying Spontaneous Combustion Indicator … Read more

MindTS-MMD: Multimodal Emotion Dataset for Children with Tourette Syndrome

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To bridge this gap, researchers developed MindTS-MMD, a Chinese multimodal dataset designed to capture emotional expressions and tic-related behaviors in this specific pediatric demographic. Understanding the MindTS-MMD Dataset Structure The dataset contains 10,034 instance-level samples sourced from 60 children with Tourette syndrome. Participants ranged in age from six to 12 years old. Data collection relied … Read more

Solar Flare Forecasting and Situation Awareness Dataset

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Solar Eclipse and Perseid Meteor Shower to Occur August 12, 2026

A new solar situation awareness and flare forecasting dataset integrates 14 years of multi-source solar observations to support space weather monitoring and prediction research. Integrating Multi-Source Solar Observations From 2010 to 2024 The core dataset compiles observations from the Helioseismic and Magnetic Imager (HMI) and the Atmospheric Imaging Assembly (AIA) aboard SDO. Researchers can utilize … Read more

Synergistic Coordinate and Attention Module for Pipeline Weld Defect Detection

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An enhanced YOLOv8n-based detection method achieves a Precision of 88.3% and an mAP@0.5 of 79.2% on the ROC-DET dataset, improving industrial pipeline inner-wall defect inspection according to study data. By integrating a synergistic coordinate and attention module alongside a hybrid CIoU–NWD loss, the upgraded model boosts spatial localization and accurately identifies small, low-contrast defects that … Read more

Cross-Validation Bias in Predictive Maintenance: A Leakage-Resilient Benchmark

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Predictive maintenance for urban electric transport fleets operates under severe class imbalance, where equipment failures are rare but individually costly. According to a benchmarking study of thirty classical, boosting, and deep tabular models conducted on an anonymised multi-modal fleet dataset comprising trams, trolleybuses, and electric buses, reported optimization gains are frequently artifacts of cross-validation optimism … Read more

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