Infection control / Modes of transmission

Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation.

We present MUSTACHE, a new method for multi-scale detection of chromatin loops from Hi-C and Micro-C contact maps. MUSTACHE employs scale-space theory, a technical advance in computer vision, to detect blob-shaped objects in contact maps. MUSTACHE is scalable to kilobase-resolution maps and reports loops that are highly consistent between replicates and between Hi-C and Micro-C datasets. Compared ...

Nondestructive Detection for Egg Freshness Based on Hyperspectral Scattering Image Combined with Ensemble Learning.

Scattering hyperspectral technology is a nondestructive testing method with many advantages. Here, we propose a method to improve the accuracy of egg freshness, research the influence of incident angles of light source on the accuracy, and explain its mechanism. A variety of weak classifiers classify eggs based on the spectra after preprocessing and feature wavelength extraction to obtain three cl...

Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning.

Heartbeat detection is a crucial step in several clinical fields. Laser Doppler Vibrometer (LDV) is a promising non-contact measurement for heartbeat...

Can Disinfection Robots Reduce the Risk of Transmission of SARS-CoV-2 in Health Care and Educational Settings?

We explore the opportunities and challenges surrounding the use of disinfection robots to reduce the risk of SARS-CoV-2 transmission in health care an...

New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes.

The purpose of this article is to present how predictive machine learning methods can be utilized for detecting sport injury risk factors in a data-dr...

Rapid two-anchor crawling from a milliscale prismatic-push-pull (3P) robot.

Many crawling organisms such as caterpillars and worms use a method of movement in which two or more anchor points alternately push and pull the body ...

India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling.

India locked down 1.3 billion people on March 25, 2020, in the wake of COVID-19 pandemic. The economic cost of it was estimated at USD 98 billion, whi...

Design and development of a non-contact robotic gripper for tissue manipulation in minimally invasive surgery.

This paper describes the design and testing of a gripper developed for handling of delicate and flexible tissues during minimally invasive surgery. Th...

Fast Wearable Sensor-Based Foot-Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping.

Classification of foot-ground contact phases, as well as the swing phase is essential in biomechanics domains where lower-limb motion analysis is requ...

Droplet size prediction in a microfluidic flow focusing device using an adaptive network based fuzzy inference system.

Microfluidics has wide applications in different technologies such as biomedical engineering, chemistry engineering, and medicine. Generating droplets...

Using social robot PLEO to enhance the well-being of hospitalised children.

Hospitalisation is stressful for children. Play material is often offered for distraction and comfort. We explored how contact with social robot PLEO ...

Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques.

BACKGROUND: Compartmental models dominate epidemic modeling. Transmission parameters between compartments are typically estimated through stochastic p...

Circular Shell Gripper for Handling Food Products.

Pneumatically driven soft robotic grippers have been extensively studied in recent years. A majority of the grippers, especially those entirely compos...

Integration of artificial intelligence into clinical patient management: focus on cardiac imaging.

Cardiac imaging is a crucial component in the management of patients with heart disease, and as such it influences multiple, inter-related parts of th...

Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing.

The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic has spread to 210 countries worldwide. It has had a significant i...

Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate.

Oxygen is an important factor in the wine aging process, and the oxygen transmission rate (OTR) is the parameter of the wood that reflects its oxygen ...

Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN).

This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. Various physicochemical anal...

Modal-Based Kinematics and Contact Detection of Soft Robots.

Soft robots offer an alternative approach to manipulate within a constrained space while maintaining a safe interaction with the external environment....

Preparation and evaluation of food-grade nanoemulsion of tarragon ( L.) essential oil: antioxidant and antibacterial properties.

This study aimed at to formulate a food-grade nanoemulsion of tarragon essential oil (NEO) and investigate its antioxidant and antimicrobial propertie...

Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies.

Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for risk stratification and management of patients wit...