Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks by Malihe Zeraati, Rana Pourmohamad, Bahareh Baghchi, Narendra Pal Singh Chauhan, Ghasem Sargazi

“…Currently, the only widely available tool for controlling the SARS-CoV-2 pandemic is nonpharmacological interventions (NPIs). …”
Get full text

Rapid literature mapping on the recent use of machine learning for wildlife imagery by Nakagawa, Shinichi, Lagisz, Malgorzata, Francis, Roxane, Tam, Jessica, Li, Xun, Elphinstone, Andrew, Jordan, Neil R., O'Brien, Justine K., Pitcher, Benjamin J., Van Sluys, Monique, Sowmya, Arcot, Kingsford, Richard T.

“…Machine (especially deep) learning algorithms are changing the way wildlife imagery is processed. …”
Get full text

Application of Machine Learning in the Prediction of the Acute Aortic Dissection Risk Complicated by Mesenteric Malperfusion Based on Initial Laboratory Results by Zhechuan Jin, Jiale Dong, Jian Yang, Chengxiang Li, Zequan Li, Zhaofei Ye, Yuyu Li, Ping Li, Yulin Li, Zhili Ji

“…Research on risk identification models for MMP is currently limited. …”
Get full text

Business process mining based insider threat detection system by Tai-ming ZHU, Yuan-bo GUO, An-kang JU, Jun MA

“…Current intrusion detection systems are mostly for detecting external attacks,but sometimes the internal staff may bring greater harm to organizations in information security.Traditional insider threat detection methods of-ten do not combine the behavior of people with business activities,making the threat detection rate to be improved.An insider threat detection system based on business process mining from two aspects was proposed,the implementation of insider threats and the impact of threats on system services.Firstly,the normal control flow model of business ac-tivities and the normal behavior profile of each operator were established by mining the training log.Then,the actual behavior of the operators was compared with the pre-established normal behavior contours during the operation of the system,which was supplemented by control flow anomaly detection and performance anomaly detection of business processes,in order to discover insider threats.A variety of anomalies were defined and the corresponding detection algorithms were given.Experiments were performed on the ProM platform.The results show the designed system is effective.…”
Get full text

Big-Data-Driven Transformations in Biomedical Research Paradigm by Jianhui LI, Ning YANG

“…We are currently witnessing a golden era of artificial intelligence for science, marked by a continuous emergence of new algorithms capable of processing diverse biological data sources, and novel tools for uncovering and understanding physiological and pathological knowledge. …”
Get full text

Exploring qubit-ADAPT-VQE for materials discovery in direct air capture by Marco Antonio Barroca, Rodrigo Neumann Barros Ferreira, Mathias Steiner

“…Solid sorbents, such as metal–organic frameworks, are currently being tested for DAC application. However, their potential for deployment at scale has not been fully realized. …”
Get full text

Kinematic Analysis of the Stable Platform of the S-RPS-SPS Parallel Mechanism by Li Mingliang, She Shigang, Yu Zhuqing

“…Considering the fact that ships at sea will be affected by waves, sea breeze and air currents, which usually results in serious interference of equipment that needs to work in a stable environment, such as lifting platforms, radar signal capture, etc. …”
Get full text

Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation by Daniel Alcalde Puente, Matteo Rizzi

“…Additionally, the successful preparation of a specific AKLT state with desired edge modes highlights the potential to discover new state preparation protocols where none currently exist. These results indicate that integrating measurement and feedback into variational quantum algorithms provides a promising framework for quantum state preparation.…”
Get full text

Control and readout of a 13-level trapped ion qudit by Pei Jiang Low, Brendan White, Crystal Senko

“…Abstract Scaling up the computational space of a quantum system is necessary to demonstrate quantum algorithmic advantage. Currently, including more information carriers is still a physical challenge in general. …”
Get full text

Influence of the media used in the operation of aircraft on the durability of airport cement surfaces by Piotr Nita, Małgorzata Linek

“…In terms of mass, dynamic and temperature interactions, these are measurable phenomena that can be determined and predicted using appropriate methods and algorithms. Another type of impact that does not occur in an avalanche-like manner on pavements is their random destruction caused by the presence and operation of exploitation media. …”
Get full text

Spatial vector cardiography: From origins to the present day. A review by Valentin E. Oleynikov, Angelina A. Chernova

“…This review summarizes the currently available ideas and research results on the study of VCG. …”
Get full text

Images Inpainting Quality Evaluation Using Structural Features and Visual Saliency by Shuang Ma, Jinhe Liu

“…Despite the extensive research on developing robust image inpainting algorithms in recent years, there are almost no objective metrics for the quality assessment of inpainted images currently. …”
Get full text

Monitoring and optimization of POCT devices in a multi-specialty hospital in Poland: usage trends, quality assurance, and clinical impact (2017–2024) by Agnieszka Woźniak-Kosek, Lucyna Drążek

“…Oxygenation status and acid-base balance are determined on arterial blood gasometry and are vital components of modern treatment algorithms for critically ill patients, similar to capillary blood glucose level measurement. …”
Get full text

Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach by Nayan Dash, Md Abul Bashar, Jeonghan Lee, Raju Dash

“…Subsequently, focusing only on genes identified through the inclusive threshold, we employed 19 diverse ML techniques to explore the common genes that contributed to the top three selected ML algorithms and the shared genes that had an impact on the ML algorithms and were observed in the meta-analysis using the stringent condition were selected. …”
Get full text

Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks by Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Asaad Shakir Hameed, Modhi Lafta Mutar

“…In this paper, the effectiveness of artificial intelligence (AI) in the rapid and precise identification of COVID-19 from CXR images has been explored based on different pretrained deep learning algorithms and fine-tuned to maximise detection accuracy to identify the best algorithms. …”
Get full text

A vehicle coordinate system reconstruction method for end of line calibration applications by Zhigang Ding, Yangyang Gong, Jincheng Lin, Jingjing Jiang, Jiadi Zhang

“…Third, the paper describes how to mitigate the influence of vehicle body color by choosing appropriate light sources, and it employs suitable algorithms to complete the feature point extraction process. …”
Get full text

Design Methodology and Performance Evaluation of New Generation Sounding Rockets by Marco Pallone, Mauro Pontani, Paolo Teofilatto, Angelo Minotti

“…Sounding rockets are currently deployed for the purpose of providing experimental data of the upper atmosphere, as well as for microgravity experiments. …”
Get full text

IMPROVE OF OVERHEAD POWER LINES MAGNETIC FIELD MITIGATION EFFICIENCY BY COMBINED ACTIVE AND PASSIVE CONTOURS SHIELDING by Б.І. Кузнецов, Т.Б. Нікітіна, І.В. Бовдуй, К.В. Чуніхін, В.В. Коломієць, Б.Б. Кобилянський

“…Vector game solution calculated based on particles multi-swarm optimization algorithms from Pareto optimal solutions set taking into account binary preference relations. …”
Get full text

MAP: Mutation Arranger for Defining Phenotype-Related Single-Nucleotide Variant by In-Pyo Baek, Yong-Bok Jeong, Seung-Hyun Jung, Yeun-Jun Chung

“…Next-generation sequencing (NGS) is widely used to identify the causative mutations underlying diverse human diseases, including cancers, which can be useful for discovering the diagnostic and therapeutic targets. Currently, a number of single-nucleotide variant (SNV)-calling algorithms are available; however, there is no tool for visualizing the recurrent and phenotype-specific mutations for general researchers. …”
Get full text

Roles and/or Users in the Web Application for Generating Employment Certificates by Biviana Esther Humánez Petro, Merjoury Ballesteros Herrera, Roswill Nieves Laza, María Camila Peña Bello

“…The main objective was to develop a web application for generating employment certificates at the Corporación Universitaria Americana, Montería campus. Currently, this process is managed by the Human Talent Department and is noticeably slow, as employee records are stored in physical format. …”
Get full text