Infection control / Modes of transmission

Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning.

BACKGROUND: Culicoides biting midges transmit viruses resulting in disease in ruminants and equids such as bluetongue, Schmallenberg disease and African horse sickness. In the past decades, these diseases have led to important economic losses for farmers in Europe. Vector abundance is a key factor in determining the risk of vector-borne disease spread and it is, therefore, important to predict the...

Exact flow of particles using for state estimations in unmanned aerial systems` navigation.

The navigation is a substantial issue in the field of robotics. Simultaneous Localization and Mapping (SLAM) is a principle for many autonomous navigation applications, particularly in the Global Navigation Satellite System (GNSS) denied environments. Many SLAM methods made substantial contributions to improve its accuracy, cost, and efficiency. Still, it is a considerable challenge to manage robu...

Deep learning-based attenuation map generation for myocardial perfusion SPECT.

PURPOSE: Attenuation correction using CT transmission scanning increases the accuracy of single-photon emission computed tomography (SPECT) and enable...

IMPContact: An Interhelical Residue Contact Prediction Method.

As an important category of proteins, alpha-helix transmembrane proteins (TMPs) play an important role in various biological activities. Because the s...

Human respiration monitoring using infrared thermography and artificial intelligence.

The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor ...

Simultaneous ultra-trace quantitative colorimetric determination of antidiabetic drugs based on gold nanoparticles aggregation using multivariate calibration and neural network methods.

In this study, a simple and rapid method was investigated for the simultaneous ultra-trace colorimetric determination of Metformin (MET) and Sitaglipt...

Monitoring Contact Behavior During Assisted Walking With a Lower Limb Exoskeleton.

Interaction forces between a robotic cuff and the skin during assisted walking with a lower limb exoskeleton may cause skin injuries over time, such a...

Automated prediction of mastitis infection patterns in dairy herds using machine learning.

Mastitis in dairy cattle is extremely costly both in economic and welfare terms and is one of the most significant drivers of antimicrobial usage in d...

Combining Docking Pose Rank and Structure with Deep Learning Improves Protein-Ligand Binding Mode Prediction over a Baseline Docking Approach.

We present a simple, modular graph-based convolutional neural network that takes structural information from protein-ligand complexes as input to gene...

Machine Learning Analysis for Quantitative Discrimination of Dried Blood Droplets.

One of the most interesting and everyday natural phenomenon is the formation of different patterns after the evaporation of liquid droplets on a solid...

Anti-Microbial Potential of Nano-Emulsion form of Essential Oil Obtained from Aerial Parts of L. as Food Additive.

Foodborne diseases are still a serious problem in public health and natural compounds are being widely considered for their potential industrial prot...

Grasping Force Control of Multi-Fingered Robotic Hands through Tactile Sensing for Object Stabilization.

Grasping force control is important for multi-fingered robotic hands to stabilize the grasped object. Humans are able to adjust their grasping force a...

High-Throughput Prediction of Whole Season Green Area Index in Winter Wheat With an Airborne Multispectral Sensor.

INTRODUCTION: In recent decades, the interest has grown to quantify the green area index as one of the key characteristics of crop canopies (e.g. for ...

Limited angle tomography for transmission X-ray microscopy using deep learning.

In transmission X-ray microscopy (TXM) systems, the rotation of a scanned sample might be restricted to a limited angular range to avoid collision wit...

Prediction of Contact Residues in Anti-HIV Neutralizing Antibody by Deep Learning.

The monoclonal antibody 1C10 targets the V3 loop of HIV-1 and neutralizes a broad range of clade B viruses. However, the mode of interaction between 1...

Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks.

OBJECTIVE: Recording and stimulating from the peripheral nervous system are becoming important components in a new generation of bioelectronics system...

An Optimal Electrical Impedance Tomography Drive Pattern for Human-Computer Interaction Applications.

In this article, we presented an optimal Electrical Impedance Tomography (EIT) drive pattern based on feature selection and model explanation, and pro...

Improved protein structure prediction using potentials from deep learning.

Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence. This problem is of fundam...

A bioinspired analogous nerve towards artificial intelligence.

A bionic artificial device commonly integrates various distributed functional units to mimic the functions of biological sensory neural system, bringi...

Label-Free Tomographic Imaging of Lipid Droplets in Foam Cells for Machine-Learning-Assisted Therapeutic Evaluation of Targeted Nanodrugs.

Lipid droplet (LD) accumulation, a key feature of foam cells, constitutes an attractive target for therapeutic intervention in atherosclerosis. Howeve...