Infection control / Modes of transmission

From Behavior to Bio-Inspiration: Aerial Reorientation and Multi-Plane Stability in Kangaroo Rats, Computational Models, and Robots.

Tails play essential roles in functions related to locomotor stability and maneuverability among ter...

[Application of machine learning models in schistosomiasis control: a review].

Schistosomiasis is a major public health concern in the world, and precision control is crucial to c...

Identification of putative coral pathogens in endangered Caribbean staghorn coral using machine learning.

Coral diseases contribute to the rapid decline in coral reefs worldwide, and yet coral bacterial pat...

AI model collapse might be prevented by studying human language transmission.

Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships.

Cruise ships are densely populated ecosystems where infectious diseases can spread rapidly. Hence, e...

Enhancing Non-Contact Heart Rate Monitoring: An Intelligent Multi-ROI Approach with Face Masking and CNN-Based Feature Adaptation.

Heart rate (HR) estimation from facial video streams has emerged in the recent years as a promising ...

PhysioSens1D-NET: A 1D Convolution Network for Extracting Heart Rate from Facial Videos.

Non-contact heart rate (HR) monitoring from video streams is the most established approach to unobtr...

Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle from a Deep-learning Computer Vision Algorithm.

This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metri...

Scalable de novo classification of antibiotic resistance of Mycobacterium tuberculosis.

MOTIVATION: World Health Organization estimates that there were over 10 million cases of tuberculosi...

scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression.

SUMMARY: Single-cell Hi-C (scHi-C) protocol helps identify cell-type-specific chromatin interactions...

Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model.

MOTIVATION: High-resolution Hi-C contact matrices reveal the detailed three-dimensional architecture...

Predicting the transmission trends of COVID-19: an interpretable machine learning approach based on daily, death, and imported cases.

COVID-19 is caused by the SARS-CoV-2 virus, which has produced variants and increasing concerns abou...

Spiking Neural Membrane Systems with Adaptive Synaptic Time Delay.

Spiking neural membrane systems (or spiking neural P systems, SNP systems) are a new type of computa...

Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms.

To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepati...

[Migration of Metals Contained in Laminated Films for Food Packaging].

Multilayer laminated films are widely used as food packaging materials. The substances contained in ...

Real-Time Monitoring for Aseptic Drilling: Lessons Learned from the Atacama Rover Astrobiology Drilling Studies Contamination Control Strategy and Implementation and Application to the Icebreaker Mars Life Detection Mission.

In 2019, the Atacama Rover Astrobiology Drilling Studies (ARADS) project field-tested an autonomous ...

ASAP-CORPS: A Semi-Autonomous Platform for COntact-Rich Precision Surgery.

INTRODUCTION: Remote military operations require rapid response times for effective relief and criti...

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.

MOTIVATION: The rapid and extensive transmission of the severe acute respiratory syndrome coronaviru...

ETLD: an encoder-transformation layer-decoder architecture for protein contact and mutation effects prediction.

The latent features extracted from the multiple sequence alignments (MSAs) of homologous protein fam...

The long-acting walking control of a cockroach bio-bot for vision-aided pipeline navigation.

Many small bionic crawling robots have been invented for search and rescue missions in narrow spaces...

Face-Free Chest Detection Using Convolutional Neural Networks for Non-Contact Respiration Monitoring.

Non-contact methods for monitoring respiration face limitations when it comes to selecting the chest...