Infection control / Modes of transmission

Prediction of Collision Cross Section Values: Application to Non-Intentionally Added Substance Identification in Food Contact Materials.

The synthetic chemicals in food contact materials can migrate into food and endanger human health. In this study, the traveling wave collision cross section in nitrogen values of more than 400 chemicals in food contact materials were experimentally derived by traveling wave ion mobility spectrometry. A support vector machine-based collision cross section (CCS) prediction model was developed based ...

Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors.

Noise significantly limits the accuracy and stability of retrieving gas concentration with the traditional direct absorption spectroscopy (DAS). Here, we developed an adaptively optimized gas analysis model (AOGAM) composed of a neural sequence filter (NSF) and a neural concentration retriever (NCR) based on deep learning algorithms for extraction of methane absorption information from the noisy t...

Application of DNA-Binding Protein Prediction Based on Graph Convolutional Network and Contact Map.

DNA contains the genetic information for the synthesis of proteins and RNA, and it is an indispensable substance in living organisms. DNA-binding prot...

Review on generic methods for mechanical modeling, simulation and control of soft robots.

In this review paper, we are interested in the models and algorithms that allow generic simulation and control of a soft robot. First, we start with a...

Effective TCP Flow Management Based on Hierarchical Feedback Learning in Complex Data Center Network.

Many studies focusing on improving Transmission Control Protocol (TCP) flow control realize a more effective use of bandwidth in data center networks....

Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning.

Telemetric information is great in size, requiring extra room and transmission time. There is a significant obstruction of storing or sending telemetr...

Application of NIRs coupled with PLS and ANN modelling to predict average droplet size in oil-in-water emulsions prepared with different microfluidic devices.

In this study, the potential of microfluidic systems with different microchannel geometries (microchannel with teardrop micromixers and microchannel w...

A new method for detecting mixed bacteria based on multi-wavelength transmission spectroscopy technology.

Previously, we successfully realized the identification of a single species of bacteria based on the multi-wavelength transmission spectrum of bacteri...

Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission.

Open circuit failure mode in insulated-gate bipolar transistors (IGBT) is one of the most common faults in modular multilevel converters (MMCs). Sever...

A machine learning-driven approach for prioritizing food contact chemicals of carcinogenic concern based on complementary in silico methods.

Carcinogenicity is one of the most critical endpoints for the risk assessment of food contact chemicals (FCCs). However, the carcinogenicity of FCCs r...

A Remote Calibration Device Using Edge Intelligence.

Power system facility calibration is a compulsory task that requires in-site operations. In this work, we propose a remote calibration device that inc...

Event-triggered H/passive synchronization for Markov jumping reaction-diffusion neural networks under deception attacks.

The issue of H/passive master-slave synchronization for Markov jumping neural networks with reaction-diffusion terms is investigated in this paper via...

Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks.

The paper presents a new security aspect for a Mobile Ad-Hoc Network (MANET)-based IoT model using the concept of artificial intelligence. The Black H...

Research on Video Quality Evaluation of Sparring Motion Based on BPNN Perception.

The quality of boxing video is affected by many factors. For example, it needs to be compressed and encoded before transmission. In the process of tra...

Antibiofilm activity of glycolic acid and glyoxal and their diffusion-reaction interactions with biofilm components.

Biofilms on food-contact surfaces act as potential reservoirs of microbial pathogens and can cause operational problems. The search for effective biof...

Joint Reflection Removal and Depth Estimation From a Single Image.

Reflection caused by glass often degrades the quality of an image and further makes it difficult to estimate depth. In this article, we propose joint ...

Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force.

This paper proposes a method for extracting information from the parameters of a single point incremental forming (SPIF) process. The measurement of t...

Preconcentration and determination of trace Hg(ii) using ultrasound-assisted dispersive solid phase microextraction.

Defect rich molybdenum disulfide (MoS) nanosheets were hydrothermally synthesized and their potential for ultrasound assisted dispersive solid phase m...

TBNet: a context-aware graph network for tuberculosis diagnosis.

Tuberculosis (TB) is an infectious bacterial disease. It can affect the human lungs, brain, bones, and kidneys. Pulmonary tuberculosis is the most com...

Formulation and physicochemical stability of oil-in-water nanoemulsion loaded with α-terpineol as flavor oil using Quillaja saponins as natural emulsifier.

Alpha-terpineol (α-TOH) is a promising monoterpenoid detaining several biological activities. However, as a volatile molecule, the incorporation of α-...