Infection control / Modes of transmission

ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks.

MOTIVATION: Contact-map of a protein sequence dictates the global topology of structural fold. Accurate prediction of the contact-map is thus essential to protein 3D structure prediction, which is particularly useful for the protein sequences that do not have close homology templates in the Protein Data Bank.

Performance evaluation of neural network assisted motion detection schemes implemented within indoor optical camera based communications.

This paper investigates the performance of the neural network (NN) assisted motion detection (MD) over an indoor optical camera communication (OCC) link. The proposed study is based on the performance evaluation of various NN training algorithms, which provide efficient and reliable MD functionality along with vision, illumination, data communications and sensing in indoor OCC. To evaluate the pro...

PconsC4: fast, accurate and hassle-free contact predictions.

MOTIVATION: Residue contact prediction was revolutionized recently by the introduction of direct coupling analysis (DCA). Further improvements, in par...

Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks.

MOTIVATION: Sequence-based prediction of one dimensional structural properties of proteins has been a long-standing subproblem of protein structure pr...

Precise Heart Rate Measurement Using Non-contact Doppler Radar Assisted by Machine-Learning-Based Sleep Posture Estimation.

Non-contact and continuous heart rate measurement using Doppler radar is important for various healthcare applications. In this paper, we propose a pr...

Shoulder-mounted Robot for MRI-Guided Arthrography: Clinically Optimized System.

This paper introduces our compact and lightweight patient-mounted MRI-compatible 4 degree-of-freedom (DOF) robot with an improved transmission system ...

Automated Classification of Airborne Pollen using Neural Networks.

Pollen allergies are considered as a global epidemic nowadays, as they influence more than a quarter of the worldwide population, with this percentage...

Autonomous Multi-Sensory Robotic Assistant for a Drinking Task.

Assistive robots have the potential to support people with disabilities in their Activities of Daily Life. The drinking task has a high priority and r...

A high-resolution tongue-based joystick to enable robot control for individuals with severe disabilities.

Assistive robotic arms have shown the potential to improve the quality of life of people with severe disabilities. However, a high performance and int...

Prototype Measuring Device for Assessing Interaction Forces between Human Limbs and Rehabilitation Robots - A Proof of Concept Study.

Rehabilitation robots can provide high intensity and dosage training or assist patients in activities of daily living and decrease physical strain on ...

Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb.

Learning to get by without an arm or hand can be very challenging, and existing prostheses do not yet fill the needs of individuals with amputations. ...

A Control Architecture for Grasp Strength Regulation in Myocontrolled Robotic Hands Using Vibrotactile Feedback: Preliminary Results.

Nowadays, electric-powered hand prostheses do not provide adequate sensory instrumentation and artificial feedback to allow users voluntarily and fine...

Imagine how to behave: the influence of imagined contact on human-robot interaction.

Imagined contact (IC), that is, mentally simulating an interaction with an outgroup member, reduces negative attitudes towards outgroup members, incre...

Predictive analysis across spatial scales links zoonotic malaria to deforestation.

The complex transmission ecologies of vector-borne and zoonotic diseases pose challenges to their control, especially in changing landscapes. Human in...

Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks.

MOTIVATION: Accurate prediction of a protein contact map depends greatly on capturing as much contextual information as possible from surrounding resi...

Phylogenomics and Infectious Potential of Avian Avulaviruses Species-Type 1 Isolated from Healthy Green-Winged Teal () from a Wetland Sanctuary of Indus River.

Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in natural reservoirs (waterfowls) is imperative. Here,...

150-Gb/s SEFDM IM/DD transmission using log-MAP Viterbi decoding for short reach optical links.

Spectral efficient frequency division multiplexing (SEFDM) can improve the spectral efficiency for next-generation optical and wireless communications...

High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features.

MOTIVATION: In addition to substitution frequency data from protein sequence alignments, many state-of-the-art methods for contact prediction rely on ...

ComplexContact: a web server for inter-protein contact prediction using deep learning.

ComplexContact (http://raptorx2.uchicago.edu/ComplexContact/) is a web server for sequence-based interfacial residue-residue contact prediction of a p...

DNCON2: improved protein contact prediction using two-level deep convolutional neural networks.

MOTIVATION: Significant improvements in the prediction of protein residue-residue contacts are observed in the recent years. These contacts, predicted...