Modern principles of the radiation protection from sources of ionizing radiation in medicine. Part 2: radiation risks and development of the system of radiation protection by G. G. Onischenko, A. Yu. Popova, I. K. Romanovich, A. V. Vodovatov, N. S. Bashketova, O. A. Istorik, L. A. Chipiga, I. G. Shatsky, S. S. Sarycheva, A. M. Biblin, L. V. Repin

“…According to the Decree of the President of the Russian Federation №585, 13.10.2018, the main approaches to the provision of the radiation safety of the public of the Russian Federation from the use of the sources of ionizing radiation in medicine are the harmonization of the national legislative documents with the international recommendations and the development of the new and improvement of the existing methods of the assessment of the individual patient doses and corresponding radiation risks. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset obtained from the Kaggle platform was utilized to predict product quality. …”
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Development and Evaluation of Indigenous Natural Dyes: Extraction Methods, Absorption Efficiency, and Color Fastness on Eri Silk by Priyanku Sarma, Femina Bano Choudhury, Devajit Basumatari, Karabi Kalita, Sasanka Sekhar Ghosh, Binita Basnet Baruah, Shamim Rahman, Jinti Das, Banasri Mech, Sangita Das, Pinky Baruah, Himangshu Baruah, Sanjib Khargharia, Tarali Kalita

“…The study assessed the fastness of washing and light exposure, resulting in the optimization of a standard dyeing recipe for Eri silk with each dye source. …”
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Semi-analytical approach for solving the mathematical model of solid-phase diffusion in electrodes: An application of modified differential transform method by Shivaranjini S, Neetu Srivastava

“…Lithium-ion batteries (LIBs) have powered the modern world to propel electric vehicles (EVs) and renewable energy sources. These technologies demand higher efficiency and reliability, thereby providing robust mathematical methods are essential for optimizing species diffusion in lithium-ion (Li-ion) cells. …”
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“…ObjectiveThis study aims to quantitatively evaluate and compare the performance of 8 mainstream generative AI systems across 4 core clinical pharmacy scenarios—medication consultation, medication education, prescription review, and case analysis with pharmaceutical care—using a multidimensional framework. MethodsForty-eight clinically validated questions were selected via stratified sampling from real-world sources (eg, hospital consultations, clinical case banks, and national pharmacist training databases). …”
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Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images by Xin Ma, Chun Liu, Xun Geng, Sifen Wang, Tao Li, Jin Wang, Pengying Liu, Jiujiang Zhang, Qiudong Wang, Yuying Wang, Yinhui Wang, Zhen Peng

“…Due to a lack of targeted algorithm optimization, existing software tools and methods are unable to meet the photogrammetric processing requirements of massive planetary remote sensing images. …”
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Methodological aspects of optimization of energy consump-tion costs of low-rise buildings with a built-in air heat pump by E. I. Krupnov, I. A. Zaitseva, S. A. Loginova, I. S. Zaitsev

“…The article presents a methodology for calculating the consumed electrical energy and heat generation, as well as the seasonal indicator of energy efficiency in the operation of an air source heat pump.Method. The technique takes into account, as input data, experimental data from tests of high-voltage heat pumps in terms of heat output depending on the change in the temperature of the source of low-grade heat and the temperature regime of the coolant.Result. …”
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An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

“…The soil salinity was estimated with the multi-source remote sensing satellite data by combining the extreme gradient boosting model (XGBoost), Optuna hyper-parameter optimization, and Shapley addition (SHAP) interpretable model. …”
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Identification of a Time-Dependent Source Term in Multi-Term Time–Space Fractional Diffusion Equations by Yushan Li, Yuxuan Yang, Nanbo Chen

“…Regarding the inverse problem, we prove the solution uniqueness and stability estimates based on interior measurement data. The source identification problem is reformulated as a variational problem using the Tikhonov regularization method, and an approximate solution to the inverse problem is obtained with the aid of the optimal perturbation algorithm. …”
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Targets Spatial Coordinates Calculation in Angle-Difference Rangefinder Passive Location Complexes by Numerical Iterative Methods by A. A. Dmitrenko, S. Y. Sedyshev

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A Narrative Review on Manufacturing Methods Employed in the Production of Mesenchymal Stromal Cells for Knee Osteoarthritis Therapy by Rasmus Roost Aabling, Maria Rusan, Anaïs Marie Julie Møller, Naija Munk-Pedersen, Carsten Holm, Brian Elmengaard, Michael Pedersen, Bjarne Kuno Møller

“…Specific attention was given to two key aspects: (1) the cell culture process employed in manufacturing of autologous or allogeneic MSC products, and (2) the post-culture methods employed in storage, reconstitution and administration of the MSCs. …”
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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition by Saliha Artabaz, Layth Sliman

“…While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on feature dependencies, redundancies, and selection methods. …”
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The RBF-FD and RBF-FDTD Methods for Solving Time-Domain Electrical Transient Problems in Power Systems by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…The algorithm of selecting “optimal” shape parameters for our basis functions is also applied, specifically to increase the accuracy of the suggested methods with regard to high accuracy needs. …”
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Research Trend On Healthcare (Hospital Financial) Failure And Activity-Based Costing Methods: A Bibliometric Analysis by Yurisal Akhmad Dany, Firman Pribadi

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Development of Energy-Efficient Modes of Installations for Heat Treatment of Concrete Products Using Numerical Calculation Methods by V. N. Romaniuk, A. M. Niyakovskii, A. N. Chichko, Yu. V. Yatskevich

“…The method is based on three-dimensional transfer equations, taking into account internal sources of heat release due to the ongoing hydration reaction of the active components of the cement clinker, and the boundary conditions corresponding to the structure of the processed product, as well as the type of heat technology device for accelerated hydration. …”
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Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification by Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo

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Discussions of Antibiotic Resistance on Social Media Platforms: Text Mining and Mixed Methods Content Analysis Study by Jocelyne Arquembourg, Philippe Glaser, France Roblot, Isabelle Metzler, Mélanie Gallant-Dewavrin, Hugues Feutze Nanguem, Adel Mebarki, Paméla Voillot, Stéphane Schück

“…Social media studies constitute a complementary source of evidence that could be used to optimize messages to the public about appropriate use of antibiotics.…”
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Different bee-flower survey methods impact conservation recommendations: comparing citizen science and academic surveys by Jaco J.T.C. Visser, Leon Marshall, Jiří Hadrava, Pieter Vanormelingen, Arthur Dielens, Jean-Marc Molenberg, Nicolas J. Vereecken

“…These findings highlight the substantial impact of data collection methods on ecological recommendations. Awareness of such biases is essential for making sound, evidence-based conservation decisions. …”
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Investigating the Effects of Heating Rate and Granulation on Extracted Oil-Shale using Microwaves and Conventional Heating Methods by Hassan Naderi, Ali Shekarifard, Jaber Taheri shakib

“…It was found that microwave pyrolysis yielded more oil produced than the conventional method and improved the quality of the oil. An optimal particle size and heating rate can be established based on the results, sparking interest in further research to explore these possibilities.…”
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Real-Time Multi-Agent Based Power Management of Virtually Integrated Microgrids Comprising Prosumers of Plug-in Electric Vehicles and Renewable Energy Sources by Nikolaos K. Sifakis, Fotis D. Kanellos

“…Future studies might concentrate on integrating the Internet of Energy (IoE) and implementing real-time Peer-to-Peer (P2P) energy transactions among participating agents, enhancing the capabilities of the proposed method and optimizing future energy systems.…”
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