Infection control / Modes of transmission

Application of a deep learning-based image analysis and live-cell imaging system for quantifying adipogenic differentiation kinetics of adipose-derived stem/stromal cells.

Quantitative methods for assessing differentiative potency of adipose-derived stem/stromal cells may lead to improved clinical application of this multipotent stem cell, by advancing our understanding of specific processes such as adipogenic differentiation. Conventional cell staining methods are used to determine the formation of adipose areas during adipogenesis as a qualitative representation o...

Improved protein contact prediction using dimensional hybrid residual networks and singularity enhanced loss function.

Deep residual learning has shown great success in protein contact prediction. In this study, a new deep residual learning-based protein contact prediction model was developed. Comparing with previous models, a new type of residual block hybridizing 1D and 2D convolutions was designed to increase the effective receptive field of the residual network, and a new loss function emphasizing the easily m...

A Virtual Scanning Framework for Robotic Spinal Sonography with Automatic Real-time Recognition of Standard Views.

Ultrasound (US) imaging is widely used to assist in the diagnosis and intervention of the spine, but the manual scanning process would bring heavy phy...

High Compliance Pneumatic Actuators to Promote Finger Extension in Stroke Survivors.

Compliant pneumatic systems are well suited for wearable robotic applications. The actuators are lightweight, conformable to irregular shapes, and tol...

An Improved Networked Predictive Controller for Vascular Robot Using 5G Networks.

Percutaneous coronary intervention (PCI) has gradually become the most common treatment of coronary artery disease (CAD) in clinical practice due to i...

Instantaneous Brain Strain Estimation for Automotive Head Impacts via Deep Learning.

Efficient brain strain estimation is critical for routine application of a head injury model. Lately, a convolutional neural network (CNN) has been su...

Characterization of multiscale logic operations in the neural circuits.

: Ever since the seminal work by McCulloch and Pitts, the theory of neural computation and its philosophical foundation known as 'computationalism' ha...

Are small airplanes safe with regards to COVID-19 transmission?

Social distancing is impossible in small aircrafts but there is a specific, highly effective ventilation system. Measurements proved that there is no ...

Dynamic Modeling, Analysis, and Design Synthesis of a Reduced Complexity Quadruped with a Serpentine Robotic Tail.

Serpentine tail structures are widely observed in the animal kingdom and are thought to help animals to handle various motion tasks. Developing serpen...

Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation.

As an essential task in protein structure and function prediction, protein fold recognition has attracted increasing attention. The majority of the ex...

Accurate prediction of inter-protein residue-residue contacts for homo-oligomeric protein complexes.

Protein-protein interactions play a fundamental role in all cellular processes. Therefore, determining the structure of protein-protein complexes is c...

Current status and future perspectives of computational studies on human-virus protein-protein interactions.

The protein-protein interactions (PPIs) between human and viruses mediate viral infection and host immunity processes. Therefore, the study of human-v...

Application of supervised machine learning as a method for identifying DEM contact law parameters.

Calibration of Discrete Element Method (DEM) models is an iterative process of adjusting input parameters such that the macroscopic results of simulat...

An improved Faster R-CNN for defect recognition of key components of transmission line.

In a national power grid system, it is necessary to keep transmission lines secure. Detection and identification must be regularly performed for trans...

Complex manipulation with a simple robotic hand through contact breaking and caging.

Humans use all surfaces of the hand for contact-rich manipulation. Robot hands, in contrast, typically use only the fingertips, which can limit dexter...

A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules.

Microcapsules, consisting of a liquid droplet enclosed by a viscoelastic membrane, have a wide range of biomedical and pharmaceutical applications and...

VIDHOP, viral host prediction with deep learning.

MOTIVATION: Zoonosis, the natural transmission of infections from animals to humans, is a far-reaching global problem. The recent outbreaks of Zikavir...

[Preface for special issue on industrial microorganisms: innovation and breakthrough (2021)].

Industrial microorganisms and their products are widely used in various fields such as industry, agriculture, and medicine, which play a pivotal role ...

Eye contact during joint attention with a humanoid robot modulates oscillatory brain activity.

Eye contact established by a human partner has been shown to affect various cognitive processes of the receiver. However, little is known about humans...

[Digital Pathology: Current Status and Prospects of Clinical Application].

In recent years, with the progress of image processing and network transmission technology, digital pathology (DP) is being more and more extensive ap...