Infection control / Modes of transmission

Multimodal data integration to determine viral and innate immune kinetics in human airway epithelium.

Understanding the mechanisms that govern viral spread in human airway epithelium (HAE) remains a major challenge, particularly with regard to identifying and quantifying key factors such as cell-type-specific infectivity, viral transmission paths, and the innate immune dynamics. Although mathematical models and experimental advances have provided valuable insights into respiratory infections, reve...

Fingertip-scale six-axis tactile interface with high-precision force sensing and position localization for dexterous human-machine interactions.

Developing microsystem-based tactile sensors that can simultaneously decode multidirectional forces and precise contact locations remains a formidable challenge, limiting robotic dexterity and human-machine interaction. To bridge this gap, we present HexaTouch, a fingertip-scale (15 × 15 × 8 mm) sensor that synergizes the deformation-encoding principle of vision-based sensors with the miniaturizat...

NeuraMFs: A deep learning model for airborne microfiber identification in plant biomonitors.

Airborne anthropogenic microfibers (A-MFs), including synthetic and industrially modified cellulosic fibers, are an emerging class of atmospheric cont...

FRDNAC: A Future-Ready DNA Cryptography Paradigm for Secure Cloud Data Transmission Using Deep Learning-Enhanced Key Generation.

The growing reliance upon cloud settings has rendered secure transmission of information essential. This study introduces the future-ready DNA-based c...

An Electrical Capacitance Tomography Dataset for Image Reconstruction Benchmarking.

We introduce ECT-Bench, the first large-scale, experimentally acquired dataset for planar Electrical Capacitance Tomography (ECT) designed to evaluate...

Analysis, control, and forecasting the dynamics of SIRD models with saturated treatment and nonlinear incidence.

This study addresses the challenge of managing complex epidemic dynamics exhibited by a novel Susceptible-Infected-Recovered-Deceased (SIRD) model. Th...

Characterizing Airborne Particulate Matter During Late-Season Soybean Production Using SEM/EDX Automated Single Particle Analyses and Machine Learning: A Preliminary Study in the Mississippi Delta.

Airborne particulate matter (PM) may originate from exposed agricultural fields and activities during dry periods. A preliminary study assessed source...

Discriminating Breast Cancer Patients by Spectral Analysis of Arterial Pulse Waveforms.

BACKGROUND/AIM: Breast cancer (BC) remains a major health threat, highlighting the need for accessible screening. Characteristics of the cardiovascula...

Large-scale cryptic proteome mining revealed potential phage-mediated host-pathogen genetic exchange in Mycobacterium tuberculosis.

BACKGROUND: Due to inevitable evolution, clinical strains of Mycobacterium tuberculosis (Mtb) exhibit distinct phenotypes and differ significantly fro...

In vitro evaluation of automated single-unit crown design using artificial intelligence: Design time, marginal misfit, dental morphology, and contact points.

OBJECTIVE: To compare an artificial intelligence-based design workflow with a manual CAD workflow in terms of design time, vertical marginal misfit, d...

Machine learning for predicting young's modulus of soft tissues from atomic force microscopy data.

Atomic force microscopy (AFM) is an advanced tool applied to investigate the mechanical properties of a wide variety of material classes, including so...

Noninvasive early detection and grading of pneumoconiosis via plasma proteomics and machine learning: PRSS3 as a potential biomarker.

BACKGROUND: Coal-dust, a persistent airborne pollutant, induces dose-related pulmonary fibrosis; however, plasma biomarkers for pre-clinical toxicity ...

The dynamics of hepatitis B transmission with treatment and vaccination: A case study in the Ili Region of Xinjiang, China, by a physics-informed neural networks approach.

Hepatitis B virus (HBV) infection remains a leading cause of cirrhosis and hepatocellular carcinoma worldwide, and long-term control relies on sustain...

Continuous-time causal distribution learning with identifiability for brain dynamic effective connectivity inference.

Dynamic effective connectivity (dEC) analysis provides an approach for revealing the causal mechanism of information transmission in human brain. Howe...

From Trauma to Transmission: The Long Shadow of Childhood Abuse on Sexually Transmitted Infections.

Childhood abuse is increasingly recognized as a critical early-life stressor with enduring consequences for adult health. Although prior research has ...

Droplet microfluidic profiling of NK cell cytotoxicity with machine learning-enabled target-cell death analysis.

Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due to functional heterogeneity within effector popul...

Magnetically-driven deployable structure inspired by worms.

This study investigates the protrusion mechanism of the unsegmented marine wormPhascolosoma stephensonito inspire new actuation strategies for soft ro...

Directed evolution of enzymes at the crossroads of tradition and innovation.

Directed evolution has become a central methodology for engineering proteins with improved or entirely new functions, enabling applications across bio...

Multi-omics precision diagnosis of brucellosis: Advances in biomarker discovery and clinical application.

Brucellosis, a neglected zoonosis caused by intracellular Brucella bacteria, remains a formidable global public health challenge, especially in develo...

The relationship between intrinsic capacity and functional ability - identifying key environmental features to support healthy ageing.

BACKGROUND: Within the World Health Organization's (WHO) healthy ageing framework, older adult's functional ability (FA) is determined by the intrinsi...