Infection control / Modes of transmission

Neural networks and behavioral frameworks to analyse the impact of media and individual awareness for controlling epidemics.

Enhancing individual awareness and immunization are generally recognized as fundamental strategies for controlling infectious diseases. Awareness is influenced by both mass media and interpersonal interactions, which affect individuals' protective behaviors and their readiness to participate in vaccination programs. This research establishes a hybrid framework combining evolutionary game theory (E...

Heterologous expression and characterization of Rhodococcus opacus R7 laccase-like multicopper oxidase (LMCO1) enzyme for polyethylene biodegradation.

The production rate of Polyethylene (PE) has increased to a concerning level, necessitating effective strategies to reduce its environmental impacts. This study investigates the role of novel laccase-like multicopper oxidase (LMCO1) in oxidative degradation of PE through a comprehensive approach, including machine learning analysis, recombinant expression, and physio-chemical assays. To this end, ...

Retinomorphic Visual Processing Enabled by Contact-Engineered IGZO Optoelectronic Synaptic Memtransistors.

Driven by the rapid progress of artificial intelligence and robotics, neuromorphic vision systems are gaining significant attention for enabling effic...

Protocols for genomic epidemiology and source attribution of enteric bacteria causing diarrhoeal disease across Africa.

INTRODUCTION: Enteric bacterial pathogens are a major cause of diarrhoeal disease in low-income and middle-income countries, with complex transmission...

A fractional ABC model for hepatitisB virus transmission with forecasting of epidemic trends using neural networks.

This paper develops a fractional-order HBV epidemic model using the Atangana-Baleanu-Caputo (ABC) fractional derivative with a nonsingular Mittag-Leff...

Cloud-based healthcare architecture for securing and monitoring healthcare data.

PURPOSE: A new method known as Lionized Remora optimization based Recurrent Neural Network (LRObRNN) is recommended to enhance the safety of medical i...

From individual trees to virtual forests: a comprehensive 3D structural dataset of Central European tree species.

This dataset provides a comprehensive, multi-scale collection of forest structural data for Central European tree species. The data were mainly derive...

PBO-SAC: optimized soft actor-critic for a 7-DoF pneumatic humanoid robotic arm with Bowden cable transmission.

Humanoid robots can be seamlessly integrated into human-robot interaction scenarios due to their human-like appearances. Pneumatic artificial muscles ...

Identification and Intelligent Prediction of Microscopic Residual Oil Distribution Based on the TransUNet Neural Network.

The morphological distribution and classification of remaining oil are of great significance to oilfield development. Traditional identification and c...

A deep learning-based multi-modal fusion framework for football foul recognition and referee decision assistance.

Accurate referee decision-making remains a critical challenge in football, where the distinction between legal and illegal contact often depends on su...

PINN for stiff moving-boundary PDE to predict the locking point in superheated steam drying.

Physics-informed neural networks (PINNs) often struggle to solve stiff partial differential equations (PDEs) with moving boundaries, such as convectio...

A Two-Stage, Semi-Supervised Deep Learning Framework for the Detection and Classification of Ambient Pollen using Evanescent Wave Scattering.

Airborne pollen, an aeroallergen, impacts human health, particularly as climate change shifts pollen dynamics, requiring accurate monitoring to suppor...

Integrating host mRNA signatures and clinical trajectories with machine learning for risk stratification and survival prediction in sepsis: an ICU-based prospective cohort study.

BACKGROUND: Sepsis remains a leading cause of death in critically ill patients. Host mRNA biomarkers may provide complementary biological information ...

A deep learning framework for quantification of hepatic steatosis in whole-slide images by tile-level scoring and screening.

Objective.To develop a deep learning framework for the efficient and accurate quantification of hepatic steatosis in whole-slide images (WSIs).Approac...

Case study application of high-throughput new approach methodologies for exposure to the interpretation of matched biomarker and indoor media measurements.

BACKGROUND: The U.S. Environmental Protection Agency, under its exposure forecasting (ExpoCast) project, has developed new approach methodologies for ...

Effectiveness of screening protocols to reduce MRSA colonization in a pediatric hospital.

BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) is a major nosocomial pathogen that can be carried asymptomatically or cause invasive i...

Lipid droplet size profiling in yeast.

Lipid droplets are central hubs of cellular lipid metabolism and play crucial roles in health and disease. The yeast, Saccharomyces cerevisiae, serves...

An Intelligent Self-Powered Covalent Organic Framework-Based Triboelectric Nanosensor Platform for On-site Picomolar Hg2+ Ion Monitoring.

Mercury (Hg2+) ions are persistent, highly toxic environmental pollutants that threaten ecosystems and human health through bioaccumulation and long-r...

Probing Ink Evaporation-Deposition Behavior for Scalable Catalyst-Layer Fabrication in PEM Electrolysis: Systematic Droplet Metrology Coupled with Explainable Machine Learning.

Nonuniform catalyst-ink deposition during droplet drying, such as coffee-ring formation, remains a key bottleneck for scalable fabrication of proton e...

An in situ non-contact 3D microscopic measurement system for temporal bone anatomy based on stereo imaging.

Accurate quantitative assessment of temporal bone microanatomy is essential for otologic research and surgical planning. However, existing measurement...