Some aspects of distance learning in the system of continuing medical education of doctors in Russia by M. Y. Kuznetsov, T. N. Lishko

“…Of course, the development of a system of continuous medical education (further – CME) and its various forms, such as distance learning, is a necessary and timely measure for the development of healthcare in the Russian Federation.Purpose. to consider the current aspects of the development of distance learning in the system of continuing professional education of doctors. …”
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Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods by Yuxiao Gao, Yang Jiang, Yanhong Peng, Fujiang Yuan, Xinyue Zhang, Jianfeng Wang

“…In recent years, with the widespread application of Convolutional Neural Networks (CNNs) in computer vision, deep learning-based methods for medical image segmentation have become a focal point of research. …”
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Machine Learning Approaches for Speech-Based Alzheimer’s Detection: A Comprehensive Survey by Ahmed Sharafeldeen, Justin Keowen, Ahmed Shaffie

“…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that significantly impairs cognitive functions, leading to memory loss and other behavioral changes. …”
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A hybrid filtering and deep learning approach for early Alzheimer’s disease identification by Md. Khabir Uddin Ahamed, Rakib Hossen, Bikash Kumar Paul, Mohammad Hasan, Waled Hussein Al-Arashi, Mohsin Kazi, Md. Alamin Talukder

“…Abstract Alzheimer’s disease is a progressive neurological disorder that profoundly affects cognitive functions and daily activities. Rapid and precise identification is essential for effective intervention and improved patient outcomes. …”
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Detecting signs of depression on social media: A machine learning analysis and evaluation by Phi Ta, Nha Tran, Hung Nguyen, Hien D. Nguyen

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Machine learning enabled accurate prediction of structural and magnetic properties of cobalt ferrite by Ying Fang, Suraj Mullurkara, Keith M. Taddei, Paul R. Ohodnicki, Guofeng Wang

“…The computational approach is composed of construction of a database from density functional theory calculations, training of machine learning models, and atomistic simulations. …”
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A deep learning approach to remotely assessing essential tremor with handwritten images by Yumeng Peng, Songliang Han, Di Wu, Chenbin Ma, Zijing Zeng, Ping He, Tian Yuan, Ying Shi, Lixuan Li, Wenjing Yang, Longsheng Pan, Zhengbo Zhang

“…Abstract Essential tremor (ET) is the most prevalent movement disorder, with its incidence increasing with age, significantly impacting motor functions and quality of life. Traditional methods for assessing ET severity are often time-consuming, subjective, and require in-person visits to medical facilities. …”
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Distinct neural representations of different linguistic components following sign language learning by Yael Coldham, Neta Haluts, Eden Elbaz, Tamar Ben-David, Nell Racabi, Shachar Gal, Michal Bernstein-Eliav, Naama Friedmann, Ido Tavor

“…However, studying the neural mechanisms behind first-time language learning is a challenging task. Here we aim to explore the functional alterations following learning Israeli Sign Language, a visuo-spatial rather than an auditory-based language. …”
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Machine learning study on predicting depressive symptoms and genetic correlations in Parkinson’s disease by Haijun Zhang, Yifan Zhang, Guihua Li, Guihua Li

“…A comparative analysis of multiple machine learning models was conducted to predict depression in PD patients, ultimately selecting the most effective model. …”
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Z-plasty in axillary retraction: techniques and strategies to facilitate learning by medical residents by Mariana Alcantara Rodrigues de Moraes, Roberto Rudge Ramos, Lydia Masako Ferreira

“…We believe that this systematization of marking facilitates the planning and learning of Z-plasty. RESULTS: The study patients achieved an adequate range of motion and functional recovery of the affected limb postoperatively. …”
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Research progress on modeling of heavy metal adsorption by biochar based on machine learning by FENG Ding, LIU Jingjing, MA Wendan, LIU Yuxue, YANG Chen, ZHANG Mengmeng

“…This paper described the workflow and advantages of machine learning modeling. The application of machine learning in heavy metal adsorption across three aspects of predicting adsorption efficiency, aiding in optimizing experiments, and gaining insights into adsorption mechanisms was summarized. …”
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A Review of Usability Evaluation Framework for Tertiary Education Learning Management Systems by Chin Keong Eric Loo, Chia Yean Lim, Nor Athiyah Abdullah

“…Online learning has become a worldwide trend. In Malaysia, there are many Higher Education Institutes (HEIs) that utilize the Learning Management System (LMS) to aid the learning programs. …”
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Designing Management Methods in Elementary School by Creating Enthusiasm to Promote Learning in Students by Samaneh Hoseinpoorian Chabok

“…Methodology: Current research addresses studies in psychology, happiness, and students' physical and psychological needs, in addition to a literature review and a necessity for a refreshing school environment by library and field study and content analysis methods.Findings: The inefficiency of educational spaces and inappropriate management functions in happiness and cheerfulness creation among the students to better learning caused this research to design educational space by utilizing principal management approaches and compatible design elements in schools.Originality/Value: Educational environments are the most crucial supplier spaces for society's qualitative power and play an essential role in the interaction of humans from mental and psychological perspectives. …”
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Construction of political education in learning Pancasila and citizenship in increasing students' political awareness by M Ari Kuwoto, Rini Sudarmanti, Atika Budhi Utami

“…The results indicate that the implementation of civic education through Pancasila learning and civic education involves the development of learning materials and the use of learning models. …”
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Learning styles-based approach for enhanced e-resource integration in ecological education by Tetiana M. Derkach, Tetiana V. Starova, Alexander V. Krajnikov

“…We employ an approach to select e-resources based on individual learning preferences, teaching styles, and discipline content. …”
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OncoImmune machine-learning model predicts immune response and prognosis in leiomyosarcoma by Jingrong Deng, Changfa Shu, Dong Wang, Richard Nimbona, Xingping Zhao, Dabao Xu

“…Mechanistically, we found that ATRX mutation may regulate coiled-coil domain-containing protein 69 (CCDC69) expression, leading to functional alterations in mast cells and immune unresponsiveness through the modulation of various immune-related signaling pathways. …”
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Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis by Yongxin Ge, Jiake Leng, Ziyang Tang, Kanran Wang, Kaicheng U, Sophia Meixuan Zhang, Sen Han, Yiyan Zhang, Jinxi Xiang, Sen Yang, Xiang Liu, Yi Song, Xiyue Wang, Yuchen Li, Junhan Zhao

“…We introduce GIST, a deep learning-enabled gene expression and histology integration for spatial cellular profiling. …”
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Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization by Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi

“…This study is focused on developing a machine learning (ML) model that is clinically acceptable for accurately detecting vitamin D status and eliminates the need for 25-OH-D determination while addressing overfitting. …”
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General and Specific Problems of the Formation of Intellectual Operations in Younger Schoolchildren with Learning Difficulties by A.I. Andriashina, L.A. Tishina

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Challenges experienced by Gauteng Foundation Phase departmental heads in managing teaching and learning by Asser R. Mhlongo, Tshidisegang M. Chaane

“…Background: The quality of teaching and learning depends on the school management team’s support and monitoring of teachers and learners to achieve the school’s objectives. …”
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