Infection control / Modes of transmission

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroenterology and is now a key diagnostic and therapeutic tool. Compared with the initial fiberoptic endoscopes state-of-the-art optical chips (or charge-coupled device technology) allowed a quantum leap in image quality. Despite these advances, gastrointestinal endoscopy is far from being perfect. The di...

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 and potentially soil environments. E. coli has an open genome and can show considerable diversity in gene content between isolates. It is a reasonable assumption that gene content reflects evolution of strains in particular host environments and therefore can be used to predict the host most likely t...

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

Changes to mitochondrial architecture are associated with various adaptive and pathogenic processes. However, quantification of changes to mitochondri...

[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. As a first tier city, Guangzhou is also the South ...

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 spread. Currently SFTS transmission has expanded ...

[Simultaneous determination of polycyclic aromatic hydrocarbons and phthalate esters in surface water by dispersive liquid-liquid microextraction based on solidification of floating organic drop followed by high performance liquid chromatography].

Polycyclic aromatic hydrocarbons (PAHs) and phthalate esters (PAEs) are internationally recognized as priority pollutants; hence, it is important to m...

Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning.

A transmission hyperspectral microscopic imager (THMI) that utilizes machine learning algorithms for hyperspectral detection of microalgae is presente...

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 structure obtained through a long-term evolutionary p...

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 telerobotic applications, it is desired that a hap...

Data Mining and Fusion of Unobtrusive Sensing Solutions for Indoor Activity Recognition.

This paper proposes the fusion of data from unobtrusive sensing solutions for the recognition and classification of activities in home environments. T...

Antidepressant pathways of the Chinese herb through genetic ontology analysis.

Active compounds and corresponding targets of the traditional Chinese herb, were obtained from systems pharmacological database and placed into ClueG...

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 of latent clusters in COVID-19 patients. Over 6,000...

DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins.

MOTIVATION: The success of genome sequencing techniques has resulted in rapid explosion of protein sequences. Collections of multiple homologous seque...

Deep learning guided image-based droplet sorting for on-demand selection and analysis of single cells and 3D cell cultures.

Uncovering the heterogeneity of cellular populations and multicellular constructs is a long-standing goal in fields ranging from antimicrobial resista...

A ferrobotic system for automated microfluidic logistics.

Automated technologies that can perform massively parallelized and sequential fluidic operations at small length scales can resolve major bottlenecks ...

Analysis of several key factors influencing deep learning-based inter-residue contact prediction.

MOTIVATION: Deep learning has become the dominant technology for protein contact prediction. However, the factors that affect the performance of deep ...

DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout.

MOTIVATION: Exciting new opportunities have arisen to solve the protein contact prediction problem from the progress in neural networks and the availa...

Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction.

Collaborative robot has been widespread application prospect, such as homes, manufacturing, and health-care etc. In physical human-robot interaction, ...

Protein contact prediction using metagenome sequence data and residual neural networks.

MOTIVATION: Almost all protein residue contact prediction methods rely on the availability of deep multiple sequence alignments (MSAs). However, many ...

A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning.

Identifying residue-residue contacts in protein-protein interactions or complex is crucial for understanding protein and cell functions. DCA (direct-c...