TEACHER EDUCATION AND FEATURES OF THE CONTEMPORARY EDUCATIONAL CONTEXT by Irina G. Zakharova

“…The features of the ICT context (conditions, arising from the use of ICT), which are characteristic of the current level of information environment are noted. …”
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Pharmacoeconomic analysis of conservative strategy for the treatment of patients with diabetic foot syndrome in Moscow by Marina Fedorovna Kalashnikova, Nadezhda Viktorovna Maksimova, Ivan Ivanovich Dedov

“…Therapeutic strategy for DFS patients used in the regional Diabetic Foot Cabinet met the current therapeutic standards. General out-patientcare by surgeons of city polyclinics was at variance with the algorithms adopted in this country. …”
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A Machine Learning Framework for Student Retention Policy Development: A Case Study by Sidika Hoca, Nazife Dimililer

“…While most previous work relies on wide-ranging data from numerous sources such as surveys, enrolment, and learning management systems, making the process complex and time-consuming, the current study uses minimal data that are readily available in any registration system. …”
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Specificity and Areas of Usage of Cardiovascular Prediction Models Among Athletes—State-of-the-art Review by Tomasz Chomiuk, Przemysław Kasiak, Artur Mamcarz, Daniel Śliż

“…Indirect prediction algorithms are feasible and easy-to-apply methods of individual cardiovascular disease risk estimation. …”
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Optimising Connectivity and Energy: The Future of LoRaWAN Routing Protocols for Mobile IoT Applications by Izzah N. Buang, K. Zen, Syahrul N. Junaini

“…This paper contributes valuable insights into the current landscape of energy-aware routing protocols for LoRaWAN in mobile IoT applications and outlines critical areas for future research aimed at achieving sustainable and efficient IoT networks.…”
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Credit Scoring on Cash Flow Table with Machine Learning: XGBoost Approach by Güner Altan, Server Demirci

“…In this study, eXtreme Gradient Boosting (XGBoost), Gradient Boosting and Artificial Neural Network algorithms which are machine learning techniques and Python program were used. …”
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Mutation Scanning in Wheat by Exon Capture and Next-Generation Sequencing. by Robert King, Nicholas Bird, Ricardo Ramirez-Gonzalez, Jane A Coghill, Archana Patil, Keywan Hassani-Pak, Cristobal Uauy, Andrew L Phillips

“…Despite recent advances in wheat genomics, most current TILLING methods are low to medium in throughput, being based on PCR amplification of the target genes. …”
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A Review of Optimization Scheduling for Active Distribution Networks with High-Penetration Distributed Generation Access by Kewei Wang, Yonghong Huang, Yanbo Liu, Tao Huang, Shijia Zang

“…Consequently, research on optimal dispatch for ADNs with a high penetration of renewable energy has become a current focal point. This paper provides a comprehensive review of research in this domain over the past decade. …”
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Breaking the field phenotyping bottleneck in maize with autonomous robots by Jason DeBruin, Thomas Aref, Sara Tirado Tolosa, Rebecca Hensley, Haley Underwood, Michael McGuire, Chinmay Soman, Grace Nystrom, Emma Parkinson, Catherine Li, Stephen Patrick Moose, Girish Chowdhary

“…Abstract Understanding phenotypic plasticity in maize (Zea mays L.) is a current grand challenge for continued crop improvement. …”
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Artificial Intelligence and ECG: A New Frontier in Cardiac Diagnostics and Prevention by Dorota Bartusik-Aebisher, Kacper Rogóż, David Aebisher

“…<b>Conclusions</b>: Modern AI algorithms—especially deep neural networks—show promise in detecting arrhythmias, heart failure, prolonged QT syndrome, and other cardiovascular conditions. …”
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Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System by Xiongwei Zhang, Hager Saleh, Eman M. G. Younis, Radhya Sahal, Abdelmgeid A. Ali

“…Twitter is a virtual social network where people share their posts and opinions about the current situation, such as the coronavirus pandemic. …”
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Precision of Cup Positioning Using a Novel Computed Tomography Based Navigation System in Total Hip Arthroplasty by Hassan M. Nemati, Albin Christensson, Andreas Pettersson, Gunnar Németh, Gunnar Flivik

“…In this study, we have evaluated a novel orthopedic surgical platform that utilizes CT imaging with AI-based algorithms to automate several critical aspects of total hip arthroplasty. …”
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Artificial intelligence in pancreatic intraductal papillary mucinous neoplasm imaging: A systematic review. by Muhammad Ibtsaam Qadir, Jackson A Baril, Michele T Yip-Schneider, Duane Schonlau, Thi Thanh Thoa Tran, C Max Schmidt, Fiona R Kolbinger

“…Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management of intraductal papillary mucinous neoplasm (IPMN) largely depends on imaging features. …”
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Digital Empowerment in Social Work: Leveraging AI to Enhance Educational Access in Developing Nations by Zvinodashe Revesai, Benjamin Tungwa, Telson Anesu Chisosa, Vanessa Runyararo Meki

“…Social work education in developing countries faces significant challenges, including limited resources, restricted access to current knowledge, and inadequate training opportunities. …”
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Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential by Jiaxi Xie, Jinwei Bu, Huan Li, Qiulan Wang

“…This paper focuses on the current application and future potential of spaceborne GNSS-R in vegetation remote sensing and the retrieval of inland water environmental and physical parameters. …”
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3D Façade Element Extraction from Image-based Instance Segmentation and Scale-Invariant Object Contour Points by F. Frank, V. Shah, S. Worbis, L. Hoegner

“…The presented approach is still under development, so the current results are limited. In summary, this paper introduces a key component of our vision for LoD3 reconstruction by using handheld devices.…”
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Applications of Artificial Intelligence in Vasculitides: A Systematic Review by Mahmud Omar, Reem Agbareia, Mohammad E. Naffaa, Abdulla Watad, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang

“…Other vasculitis types, especially those using imaging data, were less studied and often limited by small datasets. Conclusion The current literature shows that AI algorithms can enhance vasculitis diagnosis and prediction, with deep‐ and machine‐learning models showing promise in Kawasaki disease. …”
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Portable EEG for assessing attention in educational settings: A scoping review by Jian-Wei Wang, Da-Wei Zhang, Stuart J. Johnstone

“…However, the field is still in its infancy, with varied research aims and methodologies. The current scoping review aims to clarify: (1) the research aims of the studies, (2) the portable EEG collection methodologies, and (3) the EEG measures of attention. …”
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Credit card default prediction using ML and DL techniques by Fazal Wahab, Imran Khan, Sneha Sabada

“…Subsequently, various techniques are employed to preprocess the unprocessed data and visually present the outcomes through the use of exploratory data analysis (EDA). Furthermore, the algorithms are hypertuned to evaluate the enhancement in prediction. …”
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Development of a 1.0 KVA Fuelless Generator by Blessing Ngozi Goodluck Aliemeke, Munirat Abdullawal Momoh, Mercy Onoshioze Asekhome, Christian Azuka Anani, Afoke Chief Vincent

“…Integration of power factor correction capacitors and advanced control algorithms contributed to achieving a power factor close to unity, optimizing energy utilization. …”
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