Infection control / Modes of transmission

Tactile Interaction Sensor with Millimeter Sensing Acuity.

In this article we report on a 3 × 3 mm tactile interaction sensor that is able to simultaneously detect pressure level, pressure distribution, and shear force direction. The sensor consists of multiple mechanical switches under a conducting diaphragm. An external stimulus is measured by the deflection of the diaphragm and the arrangement of mechanical switches, resulting in low noise, high reliab...

Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations.

Structure prediction for proteins lacking homologous templates in the Protein Data Bank (PDB) remains a significant unsolved problem. We developed a protocol, C-I-TASSER, to integrate interresidue contact maps from deep neural-network learning with the cutting-edge I-TASSER fragment assembly simulations. Large-scale benchmark tests showed that C-I-TASSER can fold more than twice the number of non-...

Sensitivity - Local index to control chaoticity or gradient globally.

Here, we introduce a fully local index named "sensitivity" for each neuron to control chaoticity or gradient globally in a neural network (NN). We als...

The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

In industries that implement the technology of induction soldering, various sensors, including non-contact pyrometric ones, are widely used to control...

COVID-19 cough classification using machine learning and global smartphone recordings.

We present a machine learning based COVID-19 cough classifier which can discriminate COVID-19 positive coughs from both COVID-19 negative and healthy ...

A Multifunctional Smart Meter Using ANN-PSO Flux Estimation and Harmonic Active Compensation with Fuzzy Voltage Regulation.

This paper aims to present the analysis and development of a complete electronic smart meter that is able to perform four-quadrant measurements, act a...

Flexible Assimilation of Human's Target for Versatile Human-Robot Physical Interaction.

Recent studies on the physical interaction between humans have revealed their ability to read the partner's motion plan and use it to improve one's ow...

Short Time Delay Does Not Hinder Haptic Communication Benefits.

Haptic communication, the exchange of force and tactile information during dancing or moving a table together, has been shown to benefit the performan...

Exponential passivity of discrete-time switched neural networks with transmission delays via an event-triggered sliding mode control.

This paper investigates the exponential passivity of discrete-time switched neural networks (DSNNs) with transmission delays via an event-triggered sl...

Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network.

Modern computer systems practically cannot function without a computer network. New concepts of data transmission are emerging, e.g., programmable net...

Deep learning connects DNA traces to transcription to reveal predictive features beyond enhancer-promoter contact.

Chromatin architecture plays an important role in gene regulation. Recent advances in super-resolution microscopy have made it possible to measure chr...

A Microfabricated Dual Slip-Pressure Sensor with Compliant Polymer-Liquid Metal Nanocomposite for Robotic Manipulation.

Conventional grippers fall behind their human counterparts as they do not have integrated sensing capabilities. Piezoresistive and capacitive sensors ...

Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery.

Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral resolutions, and provides an opportunity for accurate and e...

Volumetric monitoring of airborne particulate matter concentration using smartphone-based digital holographic microscopy and deep learning.

Airborne particulate matter (PM) has become a global environmental issue. This PM has harmful effects on public health and precision industries. Conve...

Ensemble machine learning of factors influencing COVID-19 across US counties.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for COVID-19, is a communicable disease spread through close contact. It...

A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack.

Deep learning is widely used in the medical field owing to its high accuracy in medical image classification and biological applications. However, und...

Neural networks for increased accuracy of allergenic pollen monitoring.

Monitoring of airborne pollen concentrations provides an important source of information for the globally increasing number of hay fever patients. Air...

Robot-Assisted Autism Therapy (RAAT). Criteria and Types of Experiments Using Anthropomorphic and Zoomorphic Robots. Review of the Research.

Supporting the development of a child with autism is a multi-profile therapeutic work on disturbed areas, especially understanding and linguistic expr...

Deep Learning Methods for Improving Pollen Monitoring.

The risk of pollen-induced allergies can be determined and predicted based on data derived from pollen monitoring. Hirst-type samplers are sensors tha...

Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence-Enabled Social Media Analysis.

BACKGROUND: The emergence of SARS-CoV-2 in late 2019 and its subsequent spread worldwide continues to be a global health crisis. Many governments cons...