USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…The methodological task integrates the main elements of methodological activity concerning planning and designing of educational process and its management by the teacher, and also predicts educational and cognitive actions of pupils. …”
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Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees by Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley

“…One of the main downsides of deep learning-based approaches is the need for extensive training datasets, i.e. …”
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Computational Evaluation and Multi-Criteria Optimization of Natural Compound Analogs Targeting SARS-CoV-2 Proteases by Paul Andrei Negru, Andrei-Flavius Radu, Ada Radu, Delia Mirela Tit, Gabriela Bungau

“…These compounds were evaluated specifically against the SARS-CoV-2 main protease (3CLpro) and papain-like protease (PLpro). …”
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Problems and perspectives of family doctors training on the undergraduate stage by Yu. M. Kolesnik, V. D. Syvolap, N. S. Mikhaylovskaya, T.O. Kulinich

“…In the educational process teaching materials consist of the work program on the subject, methodological recommendations for independent work and workshops, for practical skills and algorithms for their implementation, tests of initial, current and final knowledge control, samples of basic records of general practice - family medicine, education and qualification characteristics of family doctor, a list of basic regulatory documents, educational literature. …”
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Spatiotemporal prediction of alpine wetlands under multi-climate scenarios in the west of Sichuan, China by Haijun Wang, Xiangdong Kong, Onanong Phewnil, Ji Luo, Pengju Li, Xiyong Chen, Tianhui Xie

“…Methods We employed a large sample and composite supervised classification algorithms to classify alpine wetlands and generate wetland maps, based on the Google Earth Engine cloud computing platform. …”
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Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan by Marzhan Rakhymberdina, Natalya Denissova, Yerkebulan Bekishev, Gulzhan Daumova, Milan Konečný, Zhanna Assylkhanova, Azamat Kapasov

“…Descriptive statistics, correlation analysis, principal component analysis (PCA), as well as K-means clustering and DBSCAN algorithms, were used for the analysis. During the analysis of meteorological conditions preceding avalanches at nine avalanche-prone areas in Eastern Kazakhstan, using PCA (Principal Component Analysis), the main weather factors affecting avalanche formation were determined. …”
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Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning by Hui Xu, Xingwang Peng, Ziyu Peng, Rui Wang, Rui Zhou, Lianguo Fu

“…Second, ML models were constructed based on the logistic regression (LR), decision tree (DT), support vector machine (SVM) and eXtreme Gradient Boosting (XGBoost) algorithms, after which random sampling and tenfold cross-validation were separately used to evaluate and compare these models and identify the optimal model. …”
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Carbon Stars from Gaia Data Release 3 and the Space Density of Dwarf Carbon Stars by Benjamin R. Roulston, Naunet Leonhardes-Barboza, Paul J. Green, Evan Portnoi

“…Carbon stars (with atmospheric C/O > 1) range widely in temperature and luminosity, from low-mass dwarfs to asymptotic giant branch (AGB) stars. The main-sequence dwarf carbon (dC) stars have inherited carbon-rich material from an AGB companion, which has since transitioned to a white dwarf. …”
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Determinação do coeficiente convectivo de transferência de calor de figos submetidos ao resfriamento rápido Determination of the convective heat transfer coefficient of fig fruits... by Mariangela Amendola, Saul Dussán-Sarria, Anderson A. Rabello

“…For the prediction of the temperature, near to the center of fruits, the Fourier law model was considered. Algorithms employing the finite differences and finite elements methods were implemented for the one-dimensional and three-dimensional models. …”
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Self-Organizing Wireless Sensor Networks Solving the Coverage Problem: Game-Theoretic Learning Automata and Cellular Automata-Based Approaches by Franciszek Seredynski, Miroslaw Szaban, Jaroslaw Skaruz, Piotr Switalski, Michal Seredynski

“…In this paper, we focus on developing self-organizing algorithms aimed at solving, in a distributed way, the coverage problem in Wireless Sensor Networks (WSNs). …”
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The application of super-resolution ultrasound radiomics models in predicting the failure of conservative treatment for ectopic pregnancy by Mingyan Zhang, Junfa Sheng

“…Currently, serum β-hCG is the main predictor for treatment outcomes, yet its accuracy is limited. …”
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Functional pelvic tilt frequently differs from the anterior pelvic plane in non-arthritic hip disorders: implications for 3D motion analysis by Mark R. J. Jenkinson, Calvin Cheung, Alastair G Dick, Johan Witt, Jonathan Hutt

“…Consideration should be given to incorporating this into the software algorithms. Cite this article: Bone Jt Open 2025;6(6):651–657.…”
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Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis by Ivars Neiders, Signe Mežinska, Neeltje E. M. van Haren

“…In several cases there is no empirical knowledge that determines whether particular concerns are justified (stigmatisation, use of machine learning algorithms).…”
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Methodology сomparative statistical analysis of Russian industry based on cluster analysis by Sergey S. Shishulin

“…In particular, based on a specialized software package (SPSS), the main components method, discriminant analysis, hierarchical methods of cluster analysis, Ward’s method and k-means were applied.The application of the method of principal components to the initial data makes it possible to substantially and effectively reduce the initial space of industrial production data. …”
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System aspects of management technology for scientific and educational services by A. A. Zatsarinnyy, A. P. Shabanov

“…This article presents the main provisions of technology for operational-technical management of scientific and educational services, based on innovative technical solutions and taking into account the perspective of digital trends to ensure business services. …”
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Automated process assessment of primary healthcare for hyperlipidemia: preliminary findings and implications form Anhui, China by Ningjing Yang, Yuning Wang, Ying Li, Dongying Xiao, Ruirui Cui, Nana Li, Rong Liu, Jing Chai, Xingrong Shen, Debin Wang

“…Analysis of these measures employed mainly simple descriptives and linear regression modeling. …”
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Investigation of the physically unclonable function of a configurable ring oscillator by A. A. Ivaniuk

“…This serves as a foundation for exploring new methods and algorithms for calculating unique PUF responses.…”
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Analysis of the use of artificial intelligence systems for the development of physical exercise programs during rehabilitation of nephrology patients by V.V. Bezruk, D.D. Ivanov, I.D. Shkrobanets, M.A. Ivanchuk, P.R. Ivanchuk, I.S. Seman-Minko, O.I. Pervozvanska

“…The global healthcare industry is one of the main planes for practical application of modern developments in the field of AI thanks to machine learning algorithms that provide new opportunities for solving the most complex problems of medicine and pharmacy. …”
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Playing hide and seek with primates: A comparative study of Theory of Mind by Aurore San‑Galli, Marie Devaine, Cinzia Trapanese, Shelly Masi, Sébastien Bouret, Jean Daunizeau

“…In fact, the location of the food was chosen by learning algorithms, some of which endowed with artificial ToM. …”
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Predicting Resistance and Survival of HCC Patients Post-HAIC: Based on Shapley Additive exPlanations and Machine Learning by Yao F, Miao J, Quan B, Li J, Tang B, Lu S, Yin X

“…Random Forest had the best performance among the seven ML algorithms (AUC=0.935 for training, AUC=0.876 for validation). …”
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