Infection control / Modes of transmission

A Hybrid AI-Mathematical approach for epidemic threshold prediction in metapopulation networks: Integrating physics-guided neural networks with spectral graph theory.

Predicting the epidemic threshold [Formula: see text] in contact networks is a central challenge in computational epidemiology. Classical structural approaches based on spectral graph theory-most notably Quenched Mean-Field (QMF) and the recently proposed KSEL (K Spectral Energy of Laplacian) method-deliver fast but approximate predictions. We propose a hybrid AI-mathematical framework that integr...

Bridging sparse air-quality monitoring: machine-learning sharpens daily PM2.5 in 12 cities across two regions.

Airborne particles smaller than 2.5 µm (PM2.5) pose significant risks to human health and influence the climate. However, the accuracy of ground- and satellite-based estimates varies widely across regions. To evaluate the potential of machine learning (ML) to improve ground PM2.5 concentration measurements, we analyzed ground-level PM2.5 concentrations in 12 cities across the Greater Middle East (...

A semantic segmentation model to predict subcellular glycogen localization using transmission electron microscopy images.

Transmission electron microscopy (TEM) is the gold standard for assessing subcellular glycogen localization in skeletal muscle fibres, but conventiona...

Vision-based tactile sensing enhanced by microstructures and lightweight convolutional neural network.

Tactile sensing can provide a critical function in advanced interactive systems by emulating the human sense of touch to detect stimuli. Vision-based ...

Intelligent soft robotic gripper for non-destructive grasping and attribute recognition via multi-modal waveguide tactile sensors.

The intelligent soft robotic gripper integrated with tactile sensors significantly enhances the robot's execution capabilities in complex tasks, resol...

Entomological Surveillance and Arbovirus Screening in Mosquitoes from Central Morocco: First Detection of West Nile Virus in Culex pipiens from the Marrakech-Safi Region.

PURPOSE: Surveillance of arboviral vectors and screening for probable infection is very important for the planning of vector control programs, especia...

Molecular Landscape and Advanced Diagnostic Technologies for BRAF Mutations in Cancer: From Quantitative PCR and ddPCR to CRISPR-Based Platforms.

BRAF mutations are key oncogenic alterations across multiple malignancies, including melanoma, thyroid carcinoma, colorectal cancer, non-small cell lu...

Multiagent First-Person Perspective Analysis for Leadership Assessment in Pediatric Emergency Simulations: A Feasibility Study.

BACKGROUND: Conventional leadership assessments provide structured ratings but offer limited observer-independent metrics. Because leadership and team...

Artificial intelligence-enabled real-time monitoring of intracellular lipid dynamics in microalgae via optical sensors and kinetic early-warning differentiation.

Intracellular lipid droplets synthesized by microalgae are high-value molecules with broad industrial demand, but real-time monitoring of the dynamics...

A machine-learning-based reconstruction of surface mass balance over the Greenland Ice Sheet from 1950 to 2020.

An accurate estimation of surface mass balance (SMB) is imperative for reliable quantification of the Greenland Ice Sheet (GrIS) mass changes and asso...

A shape optimization method for resistance reduction of local piping components with multiscale validation.

Reducing the flow resistance of local components in building transmission and distribution systems is a key pathway to building energy conservation. H...

Deep Learning-Based Restoration of Distorted Transmission Raman Spectra through Biological Tissue.

Retrieving optical information from photons traversing scattering media is essential in fields relating to detection and imaging. Raman spectroscopy o...

A novel thermal image based cold object detection and classification using machine learning algorithms.

Cold object detection and classification allow reliable identification and categorization of low-temperature objects using non-contact thermal analysi...

Sensor fusion and downscaled climate projections reveal climate refugia in the California Channel Islands.

Conservation actions such as habitat restoration and translocation require spatially informed, quantitative decision-making. We modeled habitat suitab...

Resource management for blockchain enhanced federated learning in wireless edge networks.

Though machine learning is widely used in wireless edge networks, the transmission of raw data still suffers from security and privacy leakage. Federa...

Polymer-Based Flexible Wireless Sensors for Health Monitoring.

Polymer-based flexible wireless sensors have demonstrated significant potential in health monitoring. However, existing studies have predominantly foc...

Structural insights into predicted thermophilic GH5 cellulases for industrial lignocellulose bioconversion.

Lignocellulosic biomass can be converted into biofuels and other valuable bioproducts, but it must first undergo physicochemical and enzymatic degrada...

Automated Assessment of PPE Compliance with Fast Lightweight Deep Learning Based Computer Vision.

UNLABELLED: This study presents a fast, lightweight computer vision framework that achieves high accuracy in verifying the correct use of goggles and ...

Using the Machine Learning Algorithm XGBoost to Understand the Correlates of Wearing Hearing Protection in Central States' Agricultural Producers.

PURPOSE: Hearing loss is a common work-related condition. Estimates suggest that 46%-86% of agricultural workers have hearing loss. Agricultural safet...

GNN-based deep surrogate modeling of knee contact mechanics: generalizing neuromuscular control patterns across subjects.

BACKGROUND: Accumulation of abnormal contact stress is a primary biomechanical driver of acute meniscal tears and chronic osteoarthritis. While Finite...