Infection control / Modes of transmission

Flicker-Suppressed Neuromorphic Unit for Dynamic Vision Processing.

Inspired by the dynamic visual perception of flying insects, rapid collision warning systems are crucial for advancing autonomous driving and machine control. Although neuromorphic devices show significant potential for replicating insect vision systems, they are hindered by limitations in the sensing frequency, signal-to-noise ratio, and flicker noise. Here, we use a combination of a homojunction...

Early Detection of Traumatic Brain Hematoma Using Machine Learning-Powered Near-Infrared Spectroscopy: A Case Report in a Kabaddi Player.

Traumatic brain injury is a significant concern in contact sports, with concussions being the most common type. Kabaddi, a high-contact sport, carries a high risk of head injuries, yet limited research has addressed their acute neurological impact. Conventional imaging such as computed tomography is the gold standard for hematoma detection but is often inaccessible in field settings. This case rep...

Adaptive Prescribed-Time Dynamic Self-Triggered Time-Varying Bipartite Formation Control for Uncertain Nonlinear Multiagent Systems With Actuator Faults.

This article develops a self-triggered prescribed-time (PT) smooth bipartite formation tracking control (BFTC) strategy for uncertain nonlinear multia...

A Surface-Enhanced Raman Scattering-Digital Microfluidics Biosensing Platform Integrated with a 1D-Convolutional Neural Network for Noninvasive Detection of Inflammation Markers.

The noninvasive detection of multiple inflammatory markers (IMs) for early sepsis diagnosis is challenging. Therefore, herein, we innovatively develop...

Toxoplasma gondii infection in wildlife in China (1985-2024): A systematic review and meta-analysis with machine learning.

The globally distributed zoonotic protozoan parasite Toxoplasma gondii presents escalating conservation and public health challenges through expanding...

A new method for quantitation of cyanuric acid in water based on image analysis of drying patterns using computer vision.

We present a simple, reagent-free method to quantify cyanuric acid (CYA) in tap water by analyzing the drying patterns of CYA solution droplets. The a...

Machine learning-assisted HS-GC-IMS for discrimination and traceability of baby bottles based on volatile fingerprints.

Ensuring the safety of food contact materials, particularly baby bottles, is crucial for infant health. In this study, a comprehensive analytical stra...

Anthropometry measurements of farm workers using computer vision-based multiview stereo-image sensing.

BackgroundPrecise anthropometric data are vital for ergonomic assessment and farm machinery design. Manual methods, although dependable, are labor-int...

AID-FGS: Artificial intelligence-enabled diagnosis of female genital schistosomiasis: Preliminary findings.

Female genital schistosomiasis (FGS) is a sequela of infection with a waterborne parasite prevalent in sub-Saharan Africa and is associated with incre...

Multi-branch convolutional neural network and intracranial EEG high-frequency oscillations predict post-surgical seizure outcomes.

OBJECTIVE: Pathological High-Frequency Oscillations (HFOs) identify epileptogenic cortex, but their surgical utility is unproven. Current epilepsy sur...

Clinical Factors Associated With Current Relevance in Allergic Contact Dermatitis: Development of Predictive Models Based on Data From the Spanish Contact Dermatitis Register (REIDAC).

BACKGROUND: Current relevance of positive patch-test reactions guides management in allergic contact dermatitis (ACD), yet its clinical predictors and...

HEDGE Index: A Data-Driven Framework Overcoming the Limitations of TEFs for Prioritizing Polycyclic Aromatic Hydrocarbon Risks.

Conventional risk assessment of airborne polycyclic aromatic hydrocarbons (PAHs), based on carcinogenicity-focused toxic equivalency factors (TEFs), l...

In Situ Transmission Electron Microscopy Visualization of Electric-Field-Induced Phase Transitions at the Morphotropic Phase Boundary in Hf0.5Zr0.5O2.

Understanding electric-field-induced phase transitions is crucial for optimizing the ferroelectric and antiferroelectric properties of hafnium zirconi...

Identification of clinical phenotypes and disease trajectories in SLE using AI through a natural language processing framework.

OBJECTIVES: Electronic Health Records (EHRs) contain a wealth of unstructured patient data that can be leveraged using Artificial Intelligence (AI). T...

Eco-Friendly Centroidal Voronoi-Tessellated Nanowire Networks for Efficient Ingress Protection and Broadband Acoustic Transparency.

Environmental water and dust ingress pose serious threats to human-machine interaction (HMI) electronics, necessitating reliable protection from fibro...

Prediction of SARS-CoV-2 transmission dynamics based on population-level cycle threshold values: An epidemic transmission and machine learning modeling study.

Polymerase chain reaction (PCR) cycle threshold (Ct) values can be used to estimate the viral burden of Severe Acute Respiratory Syndrome Coronavirus ...

Output Synchronization via Intermittent Dynamic Event-Triggered Sampled-Data Security Control for Delayed Reaction-Diffusion Neural Networks.

This article addresses the issue of output synchronization via intermittent dynamic event-triggered sampled-data (IDETSD) security control of reaction...

Discovery of a novel compound against BmNPV using virtual screening based on the protein structure of the viral whole genome.

Currently, effective antiviral drugs against Bombyx mori nucleopolyhedrovirus (BmNPV) are still lacking, which has caused significant economic damage ...

Agreement between digitally predicted and clinically verified occlusal contacts in computer-aided design and computer-aided manufacture (CAD-CAM) occlusal devices: A cross-sectional study.

STATEMENT OF PROBLEM: The growing adoption of digital workflows and artificial intelligence (AI)-assisted design has revolutionized occlusal device fa...

Comprehensive study on the performance optimization of hyperspectral unmixing algorithms: A focus on airborne hyperspectral data.

Hyperspectral imaging technology captures fine-grained spectral information from the Earth's surface, offering transformative potential in fields such...