Analysis and Identification of Factors Influencing the Survival of Burn Injury Patients with an Artificial Intelligence Approach by Sara Hashemi, Shahla Faramarzi, Laya Rahmani Pirouz, Azita Yazdani

“…Conclusion: The use of machine learning algorithms in predicting the survival of burn patients is promising. …”
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Мethods of Machine Learning in Ophthalmology: Review by D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov

“…Machine learning includes models and algorithms that mimic the architecture of biological neural networks. …”
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Adaptive Cut Selection in Mixed-Integer Linear Programming by Turner, Mark, Koch, Thorsten, Serrano, Felipe, Winkler, Michael

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Modeling circadian variability of core-clock and clock-controlled genes in four tissues of the rat. by Panteleimon D Mavroudis, Debra C DuBois, Richard R Almon, William J Jusko

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Will AI “Subtly” Take Over Decision-making in the EU Migration Context? Warnings and Lessons from ETIAS and VIS by Lorenzo Gugliotta, Abdullah Elbi

“…The ETIAS and VIS Automated Processing and the Legal Constraints of Decisions Based Solely on Automated Means – III.1. The general rule in Article 22 GDPR and Article 24 EUDPR – III.2. …”
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USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…The article is devoted to the disclosure of the peculiarities of the use of methodological tasks in the professional training of future teachers of computer science at higher education institutions. Based on the meaning of the term «task», attention is paid to the method and process of solving the problem. …”
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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

“…For working on practical part of family doctors basic skills it is planned to organize educational and training center at the family ambulatory, and its equipment with the necessary visual means, phantoms, models, simulators, diagnostic, medical apparatus and instruments. …”
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Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review by Émile Lemoine, Joel Neves Briard, Bastien Rioux, Oumayma Gharbi, Renata Podbielski, Bénédicte Nauche, Denahin Toffa, Mark Keezer, Frédéric Lesage, Dang K. Nguyen, Elie Bou Assi

“…Significance: We provide guidelines regarding patient selection, reference standard, algorithms, and performance validation.…”
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Swarm intelligence for energy-efficient heating, ventilation, and air conditioning (HVAC) systems: A case study in smart buildings by Vinoth Kanna I, Raja Subramani, Maher Ali Rusho, Shubham Sharma, Ramachandran T, Abinash Mahapatro, Deepak Gupta, Jasmina Lozanovic

“…This research utilizes swarm intelligence algorithms—Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and hybrid PSO-ACO-to optimize energy efficiency and thermal comfort in smart building HVAC systems. …”
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Entangled in uncertainty: The experience of living with dementia from the perspective of family caregivers. by Els van Wijngaarden, Hugo van der Wedden, Zerline Henning, Rikke Komen, Anne-Mei The

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Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients by Yunjie Zhang, Songjian Tong, Junhui Yang, Jiawei Lin, Yifan Kong, Deyu Lu, Yan Chen, Yingchao Li, Linfeng Xu, Xiuyan Kong, Guoqing Zhu, Hao Zhang, Pixu Liu, Zhijie Yu, Jinglin Xia

“…Through recursive feature elimination (RFE), we systematically developed prediction models employing ten distinct ML algorithms. The SHAP algorithm was implemented to enhance model interpretability, while patient stratification was subsequently performed using PCA and K-means clustering to facilitate comprehensive prognostic analysis. …”
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The influence of pH and temperature on benthic chlorophyll-a: Insights from SHAP-XGBoost and random forest models by Sangar Khan, Noël P.D. Juvigny-Khenafou, Tatenda Dalu, Paul J. Milham, Yasir Hamid, Kamel Mohamed Eltohamy, Habib Ullah, Bahman Jabbarian Amiri, Hao Chen, Naicheng Wu

“…In the SHAP XGBoost, pH was the most important characteristic, followed by mean average temperature (AT). The SVR demonstrated that AT is vital for the upper and middle catchment reaches, while pH is more important in the lower reaches. …”
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Improved Absorbing Aerosol Index Results for EMI on Board Atmospheric Environment Monitoring Satellite by Fuying Tang, Fuqi Si, Ang Li, Haijin Zhou, Minjie Zhao, Yuhan Luo, Yuanyuan Qian

“…The comparison of the EMI with TROPOMI shows a high correlation of 0.91 and a root mean square of 0.296.…”
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YOLOv8-TF: Transformer-Enhanced YOLOv8 for Underwater Fish Species Recognition with Class Imbalance Handling by Chiranjibi Shah, M M Nabi, Simegnew Yihunie Alaba, Iffat Ara Ebu, Jack Prior, Matthew D. Campbell, Ryan Caillouet, Matthew D. Grossi, Timothy Rowell, Farron Wallace, John E. Ball, Robert Moorhead

“…However, implementing fish species detection algorithms in underwater environments presents significant challenges due to factors such as varying lighting conditions, water turbidity, and the diverse appearances of fish species. …”
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

“…Missing data was imputed using mean and median. Data preprocessing involved feature scaling and one-hot encoding. …”
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Streamlining Thoracic Radiotherapy Quality assurance: One-Class Classification for Automated OAR Contour Assessment by Yihao Zhao BSc, Cuiyun Yuan MSc, Ying Liang PhD, Yang Li MSc, Chunxia Li MSc, Man Zhao MSc, Jun Hu PhD, Ningze Zhong Bsc, Wei Liu PhD, Chenbin Liu PhD

“…Purpose Automating quality assurance (QA) for contours generated by automatic algorithms is critical in radiotherapy treatment planning. …”
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Automatic location and recognition of horse freezing brand using rotational YOLOv5 deep learning network by Zhixin Hua, Yitao Jiao, Tianyu Zhang, Zheng Wang, Yuying Shang, Huaibo Song

“…As for the results of number recognition, the mAP (mean Average Accuracy) was 95.77 %, the weight size was 13.71 MB, and the detection speed was 68.6 fps. …”
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Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis by Sebastian Sanduleanu, Koray Ersahin, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Jonathan Kottlors, Lukas Goertz, Christiane Bruns, David Maintz, Nuran Abdullayev

“…Overall agreement between the GPT-3.5 output and the reference standard was assessed by means of inter-observer kappa values as well as accuracy, sensitivity, specificity, and positive and negative predictive values with the “Caret” and “irr” packages. …”
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Evaluation of the Effectiveness of Pulsed Ultraviolet Devices in Medical Premises of the Emergency Department of a Hospital Under Conditions of Intensive Patient Flow by B. L. Kurilin, N. E. Drozdova, A. Yu. Perminov, E. V. Kislukhina, Ya. V. Kulikova, N. S. Fomenko, A. V. Shapoval, V. I. Drozdova, A. R. Samarin

“…The species affiliation of microorganisms was confirmed by MALDI-TOF-MS.The obtained results were processed by standard means of mathematical statistics using R, a free software computing environment. …”
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DEVELOPMENT OF PRACTICAL SKILLS IN FOREIGN STUDENTS DURING EDUCATION AT THE DEPARTMENT OF PROPEDEUTICS OF SURGICAL DENTISTRY by I.A. Kolisnyk, A.I. Pankevych, A.M. Hohol, V.M. Novikov, E.Yu. Rezvina, M.A. Korostashova

“…The principle of mastering practical skills is laid down in the standards of higher dental education: educational and qualification characteristics, educational and professional program and is checked by standardized means of assessing theoretical knowledge and skills – "KROK-2. …”
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