Infection control / Modes of transmission

Analysis of deep learning methods for blind protein contact prediction in CASP12.

Here we present the results of protein contact prediction achieved in CASP12 by our RaptorX-Contact server, which is an early implementation of our deep learning method for contact prediction. On a set of 38 free-modeling target domains with a median family size of around 58 effective sequences, our server obtained an average top L/5 long- and medium-range contact accuracy of 47% and 44%, respecti...

Machine learning techniques for the optimization of joint replacements: Application to a short-stem hip implant.

Today, different implant designs exist in the market; however, there is not a clear understanding of which are the best implant design parameters to achieve mechanical optimal conditions. Therefore, the aim of this project was to investigate if the geometry of a commercial short stem hip prosthesis can be further optimized to reduce stress shielding effects and achieve better short-stemmed implant...

Elastic network model of learned maintained contacts to predict protein motion.

We present a novel elastic network model, lmcENM, to determine protein motion even for localized functional motions that involve substantial changes i...

Comparing the performance of 3 bioaerosol samplers for influenza virus.

Respiratory viral diseases can be spread when a virus-containing particle (droplet) from one individual is aerosolized and subsequently comes into eit...

Predicting the helix-helix interactions from correlated residue mutations.

Helix-helix interactions are crucial in the structure assembly, stability and function of helix-rich proteins including many membrane proteins. In spi...

A new design for an artificial cell: polymer microcapsules with addressable inner compartments that can harbor biomolecules, colloids or microbial species.

Eukaryotic cells have an architecture consisting of multiple inner compartments (organelles) such as the nucleus, mitochondria, and lysosomes. Each or...

On Multiple AER Handshaking Channels Over High-Speed Bit-Serial Bidirectional LVDS Links With Flow-Control and Clock-Correction on Commercial FPGAs for Scalable Neuromorphic Systems.

Address event representation (AER) is a widely employed asynchronous technique for interchanging "neural spikes" between different hardware elements i...

Preliminary testing by adults of a haptics-assisted robot platform designed for children with physical impairments to access play.

Development of children's cognitive and perceptual skills depends heavily on object exploration and experience in their physical world. For children w...

Scalable Device for Automated Microbial Electroporation in a Digital Microfluidic Platform.

Electrowetting-on-dielectric (EWD) digital microfluidic laboratory-on-a-chip platforms demonstrate excellent performance in automating labor-intensive...

Magnetic Properties as a Proxy for Predicting Fine-Particle-Bound Heavy Metals in a Support Vector Machine Approach.

The development of a reasonable statistical method of predicting the concentrations of fine-particle-bound heavy metals remains challenging. In this s...

Multi-Axis Force Sensor for Human-Robot Interaction Sensing in a Rehabilitation Robotic Device.

Human-robot interaction sensing is a compulsory feature in modern robotic systems where direct contact or close collaboration is desired. Rehabilitati...

Membrane protein contact and structure prediction using co-evolution in conjunction with machine learning.

De novo membrane protein structure prediction is limited to small proteins due to the conformational search space quickly expanding with length. Long-...

Social skills training for children with autism spectrum disorder using a robotic behavioral intervention system.

We designed a robot system that assisted in behavioral intervention programs of children with autism spectrum disorder (ASD). The eight-session interv...

In-Situ Force Augmentation Improves Surface Contact and Force Control.

Surgeons routinely perform surgery with noisy, sub-threshold, or obscured visual and haptic feedback, either due to the necessary surgical approach, o...

Endomicroscopy for Computer and Robot Assisted Intervention.

Endomicroscopy is a new technique that allows human tissue to be characterized in vivo and in situ, circumventing the need for conventional biopsy and...

Binding by Random Bursts: A Computational Model of Cognitive Control.

A neural synchrony model of cognitive control is proposed. It construes cognitive control as a higher-level action to synchronize lower-level brain ar...

A review of compliant transmission mechanisms for bio-inspired flapping-wing micro air vehicles.

Flapping-wing micro air vehicles (FWMAVs) are a class of unmanned aircraft that imitate flight characteristics of natural organisms such as birds, bat...

New Capabilities of EvoBot: A Modular, Open-Source Liquid-Handling Robot.

We introduce a robot developed to perform feedback-based experiments, such as droplet experiments, a common type of experiments in artificial chemical...

Bio-inspired vision based robot control using featureless estimations of time-to-contact.

Marvelous vision based dynamic behaviors of insects and birds such as perching, landing, and obstacle avoidance have inspired scientists to propose th...

Statistical optimization and artificial neural network modeling for acridine orange dye degradation using in-situ synthesized polymer capped ZnO nanoparticles.

ZnO NPs were synthesized by a prudent green chemistry approach in presence of polyacrylamide grafted guar gum polymer (pAAm-g-GG) to ensure uniform mo...