Standards of specialized diabetes care. Edited by Dedov I.I., Shestakova M.V., Mayorov A.Yu. 10th edition by Ivan I. Dedov, Marina V. Shestakova, Alexander Yu. Mayorov, Natalya G. Mokrysheva, Olga K. Vikulova, Gagik R. Galstyan, Tamara L. Kuraeva, Valentina A. Peterkova, Olga M. Smirnova, Elena G. Starostina, Elena V. Surkova, Olga Y. Sukhareva, Alla Y. Tokmakova, Minara S. Shamkhalova, Ivona Renata Jarek-Martynova, Ekaterina V. Artemova, Diana D. Beshlieva, Olga N. Bondarenko, Natalya N. Volevodz, Irina S. Gomova, Olga R. Grigoryan, Zera N. Dzhemilova, Roza M. Esayan, Liudmila I. Ibragimova, Viktor Y. Kalashnikov, Irina V. Kononenko, Dmitry N. Laptev, Dmitry V. Lipatov, Olga G. Melnikova, Margarina S. Mikhina, Marina S. Michurova, Oleg G. Motovilin, Tatiana V. Nikonova, Roman V. Rozhivanov, Igor A. Sklyanik, Ekaterina A. Shestakova

“…According to the current estimation by the International Diabetes Federation, 643 million patients will be suffering from DM by 2030 and 784 million by 2045.Like many other countries, Russian Federation experiences a sharp rise in the prevalence of DM. …”
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Tourism planning in the Azores and feedback from visitors by João Crispim Ponte, Gualter Couto, Pedro Pimentel, Áurea Sandra Toledo de Sousa, André Oliveira

“…This study aims to analyse the improvements that, in the opinion of visitors, should be implemented in Ponta Delgada, the largest hub of tourism activity in the Azores (Portugal), detecting differences between specific groups of visitors, in order to contribute to territorial organisation and the optimisation of tourism experiences. 400 answers to a survey distributed among tourists who visited this Azorean municipality were analysed, using several statistical methods, such as the chi-square test of independence and some Hierarchical Cluster Analysis algorithms. The main conclusions refer to the statistically significant associations between the mean of transport used to travel and views of some aspects to be improved, with signs of patterns in visits and critical attitude.…”
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MODERN ARCHITECTURE BOARD INFORMATION AND CONTROL SYSTEMS OF HEAVY VEHICLES by V. V. Filinov, S. A. Mikaeva, M. S. Rodyukov, A. V. Filinova

“…The main results on the development of the means of magneto-noise control, achieved at the department of electrical engineering and mechanics of Moscow Technological University (MGUPI), their applications in the technologies of engineering, aviation and oil and gas industries are presented.…”
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A Review of Research on Path Planning of Unmanned Surface Vessel Swarm: Deep Reinforcement Learning by Yuli HOU, Ning WANG, Chidong QIU, Yongpeng WENG

“…Finally, the main challenges and development directions in this field were summarized. …”
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Dna-storalator: a computational simulator for DNA data storage by Gadi Chaykin, Omer Sabary, Nili Furman, Dvir Ben Shabat, Eitan Yaakobi

“…Keywords: DNA data storage, DNA storage simulator, reconstruction algorithms, clustering algorithms, DNA sequencing errors, DNA synthesis errors, DNA-based data storage…”
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Wearable Internet-of-Things platform for human activity recognition and health care by Asif Iqbal, Farman Ullah, Hafeez Anwar, Ata Ur Rehman, Kiran Shah, Ayesha Baig, Sajid Ali, Sangjo Yoo, Kyung Sup Kwak

“…These measurements and their statistical are then represented in features vectors that used to train and test supervised machine learning algorithms (classifiers) for activity recognition. On the given data set, we evaluate a number of widely known classifiers such random forests, support vector machine, and many others using the WEKA machine learning suite. …”
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Electrification in Maritime Vessels: Reviewing Storage Solutions and Long-Term Energy Management by Ahmet Aksöz, Burçak Asal, Saeed Golestan, Merve Gençtürk, Saadin Oyucu, Emre Biçer

“…This paper contributes to the field by presenting a holistic view of the challenges and solutions associated with the electrification of maritime vessels, aiming to inform future developments and policymaking in this dynamic sector. Unlike many existing reviews that focus exclusively on battery chemistries or energy management algorithms, this manuscript integrates multiple aspects of maritime electrification—including propulsion types, charging infrastructure, grid systems (MVDC), EMS, BMS, and AI applications—into one cohesive systems-level review. …”
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Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection by Vinicius Moretti, Everton L. Melo, Joao Carlos Colmenero

“…Multicriteria decision-making models (MCDM) aim to reduce the complexity of decision-making by using mathematical and algorithmic procedures to guide the process. Given the various issues and complexities that current methods for weighting criteria present; this study aims to develop a new subjective multicriteria method for criteria weighting applied in Green Supplier Selection (GSS). …”
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Machine Learning for FPGA Electronic Design Automation by Armando Biscontini, E. Popovici, A. Temko

“…The work also presents the main ML methodologies and future challenges, serving as a roadmap for FPGA practitioners to navigate in the area of ML for FPGA EDA.…”
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Novel Hybrid UNet++ and LSTM Model for Enhanced Attack Detection and Classification in IoMT Traffic by Anzhelika Mezina, Jari Nurmi, Aleksandr Ometov

“…Finally, we highlight the main limitations as well as possibilities for real-world implementation of the approach.…”
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Development of a new method of diagnostics electromagnetic drive power and commutation mechanisms by I. V. Bochkarev, I. V. Bryakin

“…The method allows to diagnose the current state of the main functional units of the EMM and to control its operating modes as a whole.…”
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TSQ: An Optimized Framework for Efficiently Answering Time Series Queries by Feifan Pu, Jianqiu Xu

“…Firstly, dimensionality reduction algorithms can be employed to reduce the complexity of the data. …”
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Propensity score methodology for confounding control in health care utilization databases by Elisabetta Patorno, Alessandra Grotta, Rino Bellocco, Sebastian Schneeweiss

“…This article provides an overview of the use of propensity score methodology for pharmacoepidemiologic research with large health care utilization databases, covering recent discussions on covariate selection, the role of automated techniques for addressing unmeasurable confounding via proxies, strategies to maximize clinical equipoise at baseline, and the potential of machine-learning algorithms for optimized propensity score estimation. …”
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Machine Learning Techniques in Chronic Kidney Diseases: A Comparative Study of Classification Model Performance by Nguyen Dong Phuong, Nguyen Trung Tuyen, Vu Thi Thai Linh, Nghi N Nguyen, Thanh Q Nguyen

“…Machine learning models can assist physicians in this task by providing fast and accurate detection. As a result, many health care systems have adopted machine learning, especially for disease diagnosis. …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…The scientific study of algorithms and statistical models are used by computer systems that use patterns and inference to perform tasks rather than using clear instructions. …”
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Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution by Daniel Constantino Zacharias, Angelo Teixeira Lemos

“…The system incorporates a range of technologies, such as satellite data, AI algorithms, autonomous sensors, and high-resolution modeling, to detect and respond to oil spills and maritime threats. …”
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Design Methodology and Performance Evaluation of New Generation Sounding Rockets by Marco Pallone, Mauro Pontani, Paolo Teofilatto, Angelo Minotti

“…Three different guidance algorithms are used for the trajectory integration: constant attitude, near radial, and sun-pointing. …”
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Expert Study of Issues Related to the Calculation and Payment of Wages and Other Payments Established by Law: Guidelines by М. М. Vinogradova, N. N. Bondar’

“…Based on the examples from expert practice, the author gives algorithms for solving the tasks on the calculation and payment of wages. …”
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CONSTRUCTION OF SUBSTITUTION BOX (S-BOX) BASED ON IRREDUCIBLE POLYNOMIALS ON GF(2^8) by Faldy Tita, Adi Setiawan, Bambang Susanto

“…In the field of modern encryption algorithms, the creation of S-Box is an essential element that plays an important role in maintaining data security in various industries. …”
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A HRWS SAR Motion Compensation Method with Multichannel Phase Correction by Liming Zhou, Minglong Deng, Jing He, Bing Wang, Shengmiao Zhang, Xuanyu Liu, Shunjun Wei

“…However, similar to traditional single-channel SAR systems, it suffers from imaging quality degradation due to motion errors. Many motion compensation algorithms have been used to improve the quality of single-channel SAR images, while fewer studies have been conducted on multichannel SAR motion compensation methods. …”
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