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Infection control / Modes of transmission

Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.

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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 attr...

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 param...

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 id...

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, typical...

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...

VIDHOP, viral host prediction with deep learning.

MOTIVATION: Zoonosis, the natural transmission of infections from animals to humans, is a far-reachi...

[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, agr...

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 t...

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

In recent years, with the progress of image processing and network transmission technology, digital ...

End-Effector Contact and Force Detection for Miniature Autonomous Robots Performing Lunar and Expeditionary Surgery.

INTRODUCTION: The U.S. Space Force was stood up on December 20, 2019 as an independent branch under ...

High-Throughput Image Analysis of Lipid-Droplet-Bound Mitochondria.

Changes to mitochondrial architecture are associated with various adaptive and pathogenic processes....

Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning.

Escherichia coli is a species of bacteria that can be present in a wide variety of mammalian hosts a...

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroent...

[Application of artificial intelligence in prevention and control of COVID-19 in Guangzhou city].

Since the outbreak of COVID-19, it has spread rapidly throughout the country and even in the world. ...

Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with increasing...

Characterizing Limits of Vision-Based Force Feedback in Simulated Surgical Tool-Tissue Interaction.

Haptic feedback can render real-time force interactions with computer simulated objects. In several ...

Decoding Decentralized Control Mechanism Underlying Adaptive and Versatile Locomotion of Snakes.

Snakes have no limbs and can move in various environments using a simple elongated limbless body str...

Antidepressant pathways of the Chinese herb through genetic ontology analysis.

Active compounds and corresponding targets of the traditional Chinese herb, were obtained from syst...

Unsupervised Machine Learning for the Discovery of Latent Clusters in COVID-19 Patients Using Electronic Health Records.

The goal of this paper was to apply unsupervised machine learning techniques towards the discovery o...

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