Infection control / Modes of transmission

A Virtual Sensor for Collision Detection and Distinction with Conventional Industrial Robots.

Physical contact inevitably occurs during robot interaction with outside environments. A robot should have the ability to detect and distinguish whether a physical interaction between a human and the robot is contact or collision, so as to ensure human safety and improve interaction performance. In this paper, a virtual sensor that can detect and distinguish contact and collision between humans an...

Assessment of pressure pain thresholds in collisions with collaborative robots.

In recent years, safety issues surrounding robots have increased in importance, as more robots are in close contact with humans, both in industrial fields and elsewhere. Safety standards for industrial robots operating in specific spaces have been established, but no such standards have been specified for collaborative and service robots. To establish safety standards for such robots, we assessed ...

Inertia location and slow network modes determine disturbance propagation in large-scale power grids.

Conventional generators in power grids are steadily substituted with new renewable sources of electric power. The latter are connected to the grid via...

Predicting protein residue-residue contacts using random forests and deep networks.

BACKGROUND: The ability to predict which pairs of amino acid residues in a protein are in contact with each other offers many advantages for various a...

Computational modeling of neuromuscular response to swing-phase robotic knee extension assistance in cerebral palsy.

Predicting subject-specific responses to exoskeleton assistance may aid in maximizing functional gait outcomes, such as achieving full knee-extension ...

DESTINI: A deep-learning approach to contact-driven protein structure prediction.

The amino acid sequence of a protein encodes the blueprint of its native structure. To predict the corresponding structural fold from the protein's se...

Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders.

Investigating crimes against children, specifically sexual solicitations, are complicated because not all offenders are contact-driven, meaning they w...

Deep Learning-Based Framework for Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain.

The main goal of brain cancer surgery is to perform an accurate resection of the tumor, preserving as much normal brain tissue as possible for the pat...

Contact Modelling and Tactile Data Processing for Robot Skins.

Tactile sensing is a key enabling technology to develop complex behaviours for robots interacting with humans or the environment. This paper discusses...

Field evaluation of an unmanned aerial vehicle (UAV) sprayer: effect of spray volume on deposition and the control of pests and disease in wheat.

BACKGROUND: Unmanned aerial vehicles (UAVs) are a recently developed aerial spraying technology. However, the effect of spray volume variation on depo...

Memristive Imitation of Synaptic Transmission and Plasticity.

In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The p...

A Torque-actuated dissipative spring loaded inverted pendulum model with rolling contact and Its application to hexapod running.

We report on the development and analysis of a new torque-actuated dissipative spring loaded inverted pendulum model with rolling contact (TDR-SLIP), ...

Elasticity Versus Hyperelasticity Considerations in Quasistatic Modeling of a Soft Finger-Like Robotic Appendage for Real-Time Position and Force Estimation.

Various methods based on hyperelastic assumptions have been developed to address the mathematical complexities of modeling motion and deformation of c...

Automatic real-time gait event detection in children using deep neural networks.

Annotation of foot-contact and foot-off events is the initial step in post-processing for most quantitative gait analysis workflows. If clean force pl...

Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture ...

DeepCDpred: Inter-residue distance and contact prediction for improved prediction of protein structure.

Rapid, accurate prediction of protein structure from amino acid sequence would accelerate fields as diverse as drug discovery, synthetic biology and d...

Developed magnetic multiporous 3D N-Co@C/HCF as efficient sorbent for the extraction of five trace phthalate esters.

A three-dimensional (3D) magnetic porous N-Co@carbon dodecahedron/hierarchical carbon framework (3D N-Co@C/HCF) hybrid has been successfully synthesiz...

Acute Retroviral Syndrome Presenting as Acute Hepatitis.

Acute retroviral syndrome (ARS) can present as a wide array of clinical manifestations. Establishing a diagnosis early in the disease course can provi...

Randomized Controlled Pilot Study of Antiretrovirals and a Behavioral Intervention for Persons With Acute HIV Infection: Opportunity for Interrupting Transmission.

BACKGROUND: Persons with acute HIV infection (AHI) have heightened transmission risk. We evaluated potential transmission reduction using behavioral a...

Microfluidic droplets content classification and analysis through convolutional neural networks in a liquid biopsy workflow.

In a recent paper we presented an innovative method of liquid biopsy, for the detection of circulating tumor cells (CTC) in the peripheral blood. Usin...