Modeling the train operation of the mainline locomotive by A. G. Silyuta, E. E. Kossov

“…It can be used to obtain quantitative estimates of the impact of changes in the performance of the train operation of long-distance freight diesel locomotives when new elements and control algorithms are introduced into the diesel generator unit.…”
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Design and Assessment of an Austenitic Stainless Alloy for Laser Powder Bed Additive Manufacturing by Mariam Assi, Julien Favre, Marcin Brykala, Franck Tancret, Anna Fraczkiewicz

“…A computational approach is proposed to design novel and optimized austenitic alloy compositions. This method integrates a suite of predictive tools, including machine learning, calculation of phase diagrams (CALPHAD) and physical models, all piloted by a multi-objective genetic algorithm. …”
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Principles of creating a digital twin prototype for the process of alkylation of benzene with propylene based on a neural network by K. G. Kichatov, T. R. Prosochkina, I. S. Vorobyova

“…A predictive neural network model and its creation algorithm for the process of benzene alkylation was developed. …”
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Driving Factors and Future Trends of Wildfires in Alberta, Canada by Maowei Bai, Qichao Yao, Zhou Wang, Di Wang, Hao Zhang, Keyan Fang, Futao Guo

“…This study analyzed the relationship between climate and wildfire and used a random forest algorithm to predict future wildfire frequencies in Alberta, Canada. …”
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Model OLD0: A Physical Parameterization for Clear-Sky Downward Longwave Radiation by Juan Carlos Ceballos, Diego Pereira Enoré, Jaidete Monteiro de Souza, Francisco Luiz Leitão de Mesquita

“…In contrast, other widely used algorithms typically exhibit |MBEs| ranging from 8.1 to 15.9 W.m-2.…”
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Inclusive power of digitalization: Smart city construction and the health of middle-aged and older disabilities by Hongkun Zhao, Qingrui Liu, Zhuo Chen

“…Methods Based on data from the China Health and Retirement Longitudinal Study, this paper estimates the impact of SCC on the health of middle-aged and older disabilities using the double machine learning method with the random forest algorithm, and examines the dynamic trend of the health effects using event study method. …”
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Accurate Measurement of Dynamic Response of Formation Pressure by XUE Yongzeng, ZHI Hongxu, ZHANG Caihong, YU Qiang, GAO Tianrui, ZHANG Huayong

“…This paper introduces the basic composition of the pressure measurement system of the formation tester and proposes an accurate measurement scheme for the dynamic response of formation pressure. …”
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CENPF as a Potential Biomarker Associated with the Immune Microenvironment of Renal Cancer by Meilin Chen MS, Xiuxin Tang MS, YanPing Liang MD, Tangdang Ding MS, Meifang He PhD, Dong Wang PhD, Ruizhi Wang PhD

“…Single-cell sequencing data from the GSE159115 dataset were analyzed, and the CIBERSORT algorithm was applied to evaluate the composition of tumor immune infiltrating cells (TIICs). …”
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Machine learning integrates region-specific microbial signatures to distinguish geographically adjacent populations within a province by Li Luo, Li Luo, Bangwei Chen, Bangwei Chen, Shengyin Zeng, Shengyin Zeng, Yaxin Li, Yaxin Li, Xiaolin Chen, Xiaolin Chen, Jianguo Zhang, Xiangjie Guo, Shujin Li, Lei Ruan, Shida Zhu, Cairong Gao, Cuntai Zhang, Tao Li

“…Among the three ML algorithms, the random forest algorithm achieved the best performance, with an AUC of 0.943.ConclusionThe gut microbiota of individuals residing in the same province is significantly similar; however, pronounced differences in bacterial composition were noted between individuals. …”
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Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning by Xiao Zeng, Qiong Ma, Chun-Xia Huang, Jun-Jie Xiao, Xi Fu, Yi-Feng Ren, Yu-Li Qu, Hong-Xia Xiang, Mao Lei, Ru-Yi Zheng, Yang Zhong, Ping Xiao, Xiang Zhuang, Feng-Ming You, Jia-Wei He

“…Additionally, the PICRUSt2 algorithm was used to predict the microbial functions. …”
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Dynamic Node Management for Energy Optimization in Cognitive Radio Systems by Tangsen Huang, Haibing Yin, Xiangdong Yin, Huijun Xiao

“…The optimal number of cooperative nodes is determined through a greedy algorithm, formulated as a constrained optimization problem. …”
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Information Content Assessment of the Federal Budget and the Budget Process in the Russian Federation by O. V. Morozov, M. A. Vasiliev

“…Indexes of information content of the multicomponent systems’ composition and algorithms for their calculations are formed. …”
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Research on the Impact and Path of Human-Machine Collaborative Decision-Making on Dualistic Innovations by Bin Miao, Jiage Zhang, Jiaxing Zhang, Lu Li, Yitong Hou

“…How employees, guided by algorithmically integrated decision-making, utilize massive information and technology to catalyze creativity in this path is not yet known. …”
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ROLE OF SERUM EOSINOPHILIC CATIONIC PROTEIN AND TRYPTASE IN MYELOPROLIFERATIVE AND LYMPHOPROLIFERATIVE DISORDERS by L. S. Komarova, N. B. Mikhaylova, I. I. Nesterovich, Ye. Ye. Zueva, B. V. Afanasyev, Areg A. Totolian

“…There is a substantial evidence that eosinophils possess some common mechanisms of cooperation with mast cells. Therapeutic interventions into key events controlling eosinophil migration may be a leading factor in treatment of hypereosinophylic states in onco-hematological disorders. …”
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THE EFFECTIVENESS OF AN ACTIVITY-BASED APPROACH TO TEACHING THE PAST TENSE IN MEDICAL ENGLISH FOR PROFESSIONAL PURPOSES by Yu.V. Lysanets, O.M. Bieliaieva, I.V. Znamenska, H.Yu. Morokhovets, I.V. Rozhenko

“…The authors believe that this, in turn, will promote academic mobility and scientific cooperation, thus contributing to the development of higher medical education in Ukraine, which renders the research relevant.…”
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Detection and Geolocation of Peat Fires Using Thermal Infrared Cameras on Drones by Temitope Sam-Odusina, Petrisly Perkasa, Carl Chalmers, Paul Fergus, Steven N. Longmore, Serge A. Wich

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Exploring the opportunities and challenges of using large language models to represent institutional agency in land system modelling by Y. Zeng, C. Brown, C. Brown, J. Raymond, M. Byari, R. Hotz, M. Rounsevell, M. Rounsevell, M. Rounsevell

“…The agents' performance is benchmarked against two baseline scenarios: one without policy interventions and another implementing optimal policy actions determined through a genetic algorithm. The findings show that, while LLM agents perform better than the non-intervention scenario, they fall short of the performance achieved by optimal policy actions. …”
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Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) by S. Sim, S. Choi, D. Jung, J. Woo, N. Kim, S. Park, H. Kim, U. Jeong, H. Hong, K.-S. Han

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Hydropower system in the Yarlung-Tsangpo Grand Canyon can mitigate flood disasters caused by climate change by Fengbo Zhang, Qin Yang, Jianhua Wang, Huan Liu, Qinghui Zeng, Long Yan, Baolong Zhao, Jiaxuan Tang, Kang Zhao, Yining Zang, Wei Liu, Peng Hu

“…Here we evaluate the water-energy-ecosystem nexus in this hydropower system using the Water and Energy Transfer Processes in Large River Basins model and the Non-Dominated Sorting Genetic Algorithm III model. Key findings reveal that reservoir operations with medium replenishment flow (1000 m³ s−1) during dry periods achieve an optimal balance among hydropower generation annually (2231 × 108 kWh), flood mitigation (peak clipping rate 22.8%), and minimal ecosystem impact (eco-index 0.45). …”
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Optimization of English Online Learning Dictionary System Based on Multiagent Architecture by Ying Wang

“…Based on the hybrid multiagent cooperative algorithm, this paper will improve the disadvantages of the online English learning dictionary system and propose an appropriate dictionary application evaluation function. …”
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