Theoretical Proposals for Improving the Noise Immunity of Receiving Multi-Position Signals in Channels with Variable Parameters by S. V. Dvornikov, A. V. Pshenichnikov, A. F. Kryachko, M. R. Bibarsov, G. S. Bibarsova

“…The presented dependence makes it possible to evaluate the relationship between the values of the probability of a pair error of receiving QAM signal elements and the limits of the change in phase shifts introduced by a communication channel with variable parameters. Future research will address the development of scientific and practical proposals for improving the noise immunity of quadrature multi-position signals, including an algorithm and block diagram for compensating phase shifts introduced in communication channels; processing of the amplitude values of the signal, which assumes the difference in the paths in terms of frequency-polarization and determines the accuracy of eliminating phase distortions.…”
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METHODOLOGICAL PRINCIPLES OF EDUCATIONAL AND PSYCHOLOGICAL CHATBOT DEVELOPMENT by Vitaliy Panok, Anatoliy Shevchenko, Maksym Nazar, Denys Starkov, Dmytro Meshcheriakov, Andriy Shevtsov

“…As a result of the conducted research, methodological principles for the development of educational and psychological chatbots using artificial intelligence technologies have been established. …”
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Integration of physical information and reaction mechanism data for surrogate prediction model and multi-objective optimization of glycolic acid production by Zhibo Zhang, Yaowei Wang, Dongrui Zhang, Deming Zhao, Huibin Shi, Hao Yan, Xin Zhou, Xiang Feng, Chaohe Yang

“…After optimization, the direct CO2 emissions were reduced by over 99% and overall greenhouse gas emissions were reduced by 4.6%. The research paradigm proposed in this research can offer guidance and technical support for the optimized operation of EG selective oxidation to GA.…”
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Evaluating Critical Success Factors in AI-Driven Drug Discovery Using AHP: A Strategic Framework for Optimization by Amir Mohamed Talib, Areen Metib Al-Hgaish, Rodziah Binti Atan, Abdulaziz Alshammari, Fahad Omar Alomary, Razali Yaakob, Abdulaziz Alsahli, Mohd Hafeez Osman

“…This research contributes to strategic AI adoption by addressing data inconsistencies, algorithmic bias, and scalability limitations. …”
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Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India by Pankaj Prasad, Sourav Mandal, Sahil Sandeep Naik, Victor Joseph Loveson, Simanku Borah, Priyankar Chandra, Karthik Sudheer

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A systematic review of neural network applications for groundwater level prediction by Samuel K. Afful, Cyril D. Boateng, Emmanuel Ahene, Jeffrey N. A. Aryee, David D. Wemegah, Solomon S. R. Gidigasu, Akyana Britwum, Marian A. Osei, Jesse Gilbert, Haoulata Touré, Vera Mensah

“…The findings contribute to a deeper understanding of new trends in groundwater research such as the application of neural networks for prediction problems in groundwater research. …”
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SAR remote sensing for monitoring harmful algal blooms using deep learning models by Kritnipit Phetanan, Do Hyuck Kwon, Jinmyeong Lee, Heewon Jeong, Gibeom Nam, Euiho Hwang, JongCheol Pyo, Kyung Hwa Cho

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Harnessing Artificial Intelligence and Innovative Vaccines for Mpox Diagnosis and Control: A Comprehensive Narrative Review by Excel Onajite Ernest-Okonofua, Zainab Abdullahi Zubairu, Malik Olatunde Oduoye, Maryam Tariq, Syed Muhammad, Zainab Siddiqua, Monica Vuyyuru, Benjamin Wafula, Riaz Akhtar, Abdulbasit Fasasi, Samuel Chinonso Ubechu, Bakare Sikiru Olayinka

“…Future directions should be focused on healthcare professionals to establish the validity and reliability of the models, a measure of the algorithm’s robustness, and the continuous auditing of AI systems.…”
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Finding White Dwarfs’ Hidden Companions Using an Unsupervised Machine Learning Technique by Xabier Pérez-Couto, Minia Manteiga, Eva Villaver

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MAS-PD: Transferable Adversarial Attack Against Vision-Transformers-Based SAR Image Classification Task by Boshi Zheng, Jiabin Liu, Yunjie Li, Yan Li, Zhen Qin

“…With advancements in vision transformer (ViT) research, these models have become increasingly important in SAR image classification due to their remarkable performance. …”
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Learning Gaussian graphical models from correlated data by Zeyuan Song, Zeyuan Song, Sophia Gunn, Stefano Monti, Stefano Monti, Gina M. Peloso, Ching-Ti Liu, Kathryn Lunetta, Paola Sebastiani, Paola Sebastiani, Paola Sebastiani

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Designing a work program for the discipline based on the elements of competencies by A. M. Polyanskiy, E. A. Smirnova

“…According to the authors, the use of the elements of competences allocated from the texts of standards, scientific and methodological developments and other sources of the subject field of activity of the university graduate, allows to determine the set and content of knowledge, skills and knowledge necessary for training in the field of preparation more fully, rationally distribute them among educational disciplines and practices, to form the main didactic units of the work program of the academic discipline, to ensure the traceability of the requirements to the results of mastering the disciplines to a specific source of requirements.In the process of research, a methodology for the collection, processing and systematization of information necessary for the preparation of documents for the organization of the educational process at the department of the university was developed and approved; the analysis of professional and branch standards of software engineering is carried out; an array of elements of competencies required by the graduate training directions 09.03.04 is formed; software tools for processing and structuring information, managing changes in the elements of competences, taking into account the interrelations between them are proposed.The article describes the structure of the data array of competencies required by the graduate of the bachelor’s degree in the direction of training 09.03.04 “Software Engineering”; the results of the analysis of the main types of competence sources are presented: the educational standard in the specified direction of bachelor’s degree, professional standards and branch standards of software engineering, ontological and architectural models of entities of the subject domain; an algorithm for the collection, processing and systematization of information necessary for the formation of competency elements; examples of forming various types elements of competences are given.The study has showed that the competence approach, expanded in the proposed methodology, to the formation of working programs of educational disciplines and practices of the basic professional educational program of higher education allows to ensure the completeness, relevance and consistency of the requirements for the preparation of students, the rational distribution of the subject matter of the teaching material between disciplines and their mutual coherence in the educational process.…”
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Improved soil moisture retrieval during crop growing season using passive microwave data at L-band by Minfeng Xing, Kai Cui, Taifeng Dong, Ming Ma, Xin Zhou, Yi Zhang

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Enhancing weld quality of novel robotic-arm arc welding: Vision-based monitoring, real-time control seam tracking by Aman Sharma, Rishabh Chaturvedi, Kamal Sharma, Saad Abrahim Binhowimal, Jayant Giri, T. Sathish

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Tidal tail identification and detailed analysis of the open star cluster King 13 using Gaia DR3 and 2MASS by Nasser M. Ahmed, Mohamed S. Darwish

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A Comparison of Machine Learning-Based Models and a Simple Clinical Bedside Tool to Predict Morbidity and Mortality After Gastrointestinal Cancer Surgery in the Elderly by Barbara Frezza, Mario Cesare Nurchis, Gabriella Teresa Capolupo, Filippo Carannante, Marco De Prizio, Fabio Rondelli, Danilo Alunni Fegatelli, Alessio Gili, Luca Lepre, Gianluca Costa

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Predicting emotional responses in interactive art using Random Forests: a model grounded in enactive aesthetics by Xiaowei Chen, Xiaowei Chen, Zainuddin Ibrahim, Azlan Abdul Aziz

“…However, these emotional responses’ inherently dynamic, subjective, and often pre-reflective nature poses significant challenges to their systematic prediction and computational modeling.MethodsTo address these challenges, the present study introduces an interpretable machine learning framework grounded in the Random Forest (RF) algorithm, which provides a balanced trade-off between predictive performance and model transparency, thereby aligning with the needs of theory-driven emotion research. …”
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Differential diagnosis of hematogenous osteomyelitis and malignant bone tumors by A. N. Tkachenko, O. F. Nur, A. A. Korneenkov, L. E. Sharova, I. E. Itskovich, I. I. Kushnirchuk, A. Yu. Cherkasov

“…The objective of the study was to develop a mathematical model of differential diagnosis of hematogenous osteomyelitis and malignant bone tumor.Material and methods. In this research we performed a retrospective analysis of the data on 127 patients with differential diagnosis between hematogenous osteomyelitis and malignant bone tumors. …”
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Unpacking the dangers of super absorbent polymer water beads: an in vitro analysis by Jack J. Hachem, Jack J. Hachem, Javier Monagas, Javier Monagas, Ankona Banerjee, Robert A. Noel, Robert A. Noel

“…ObjectivesThis study aims to investigate the risk of pediatric bowel obstruction from various types of super absorbent polymer (SAP) beads in different liquid media, explore treatment options, and develop a clinical decision-making algorithm for healthcare providers.MethodsThree experiments were conducted involving the measurement of SAP beads' expansion in different liquid media. …”
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Digital literacy curriculum transformation to overcome filter bubble in Pancasila character understanding by A. Achdyat, Dasim Budimansyah, Encep Syarif Nurdin, Mupid Hidayat

“…This research uses a qualitative approach with phenomenological methods to explore participants' subjective experiences and meanings, which are analyzed descriptively through the concept of epoche. …”
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