Investigation of multimorbidity patterns and association rules in patients with type 2 diabetes mellitus using association rules mining algorithm by Lianhua Liu, Xiaodan Wang, Mei Gui, Feng Ju, Li Cao, Bo Bi

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Mixed Programming Technology with C# and Matlab Based on .NET Assembly and its Application by CHEN Liusong, YANG Li, ZHANG Yu, LIU Li

“…When a single design language is used to develop a software for experimental data analysis, the algorithm developing efficiency and the interface friendliness cannot achieve optimal at the same time. …”
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Current Status, Challenges and Future Perspectives of Operation Optimization, Power Prediction and Virtual Synchronous Generator of Microgrids: A Comprehensive Review by Ling Miao, Ning Zhou, Jianwei Ma, Hao Liu, Jian Zhao, Xiaozhao Wei, Jingyuan Yin

“…Then, the microgrid optimization operation technologies are analyzed in detail, including energy management optimization algorithms for efficient use of energy and cost reduction. …”
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Combined single- and dual-energy CT workflow for dose calculation in radiotherapy by Hella Sand, Jens Edmund, Ane Appelt, Patrick Wohlfahrt, Vicki Trier Taasti, Laurids Østergaard Poulsen, Jimmi Søndergaard, Martin Skovmos Nielsen

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RATIONALE FOR THE SELECTION OF INNOVATIVE MATERIALS BASED ON THE COST OF THE LIFE CYCLE OF THE GAS PIPELINE by A. Afanasyev, E. Ermolaev, E. Acri

“…Assessment of the efficiency of laying gas pipelines is currently carried out only from the position of construction and installation works and does not take into account the interests of organizations that provide their maintenance and major repairs. …”
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A multilevel boost DC-DC converter with MPPT algorithm for the rooftop PV system of the urban railway Nhon - Hanoi Station by Tran Hung Cuong, An Thi Hoai Thu Anh

“…Fast and reliable step-up DC-DC converters face many obstacles when applied in the field of high-capacity urban trains, causing the current quality of the conversion process to be limited. …”
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Mid-Water Ocean Current Field Estimation Using Radial Basis Functions Based on Multibeam Bathymetric Survey Data for AUV Navigation by Jiawen Liu, Kaixuan Wang, Shuai Chang, Lin Pan

“…The RBF model inherently satisfies ocean current incompressibility. Subsequently, by dividing the multibeam bathymetric point cloud data surveyed by the AUV into submaps and performing a terrain-matching algorithm, relative position observations among different AUV positions can be constructed. …”
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A Methodology to Characterize an Optimal Robotic Manipulator Using PSO and ML Algorithms for Selective and Site-Specific Spraying Tasks in Vineyards by Roni Azriel, Oded Degani, Avital Bechar

“…This paper presents an improved methodology for characterizing task-oriented optimal manipulator configuration, tested on a case study of selective spraying in vineyards. It compares the current approach for optimizing manipulator configurations, which relies on simulation and optimization algorithms, with an improved methodology that integrates machine learning models to enhance the optimization process. …”
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Artificial Neural Network - Multi-Objective Genetic Algorithm based optimization for the enhanced pigment accumulation in Synechocystis sp. PCC 6803 by Namrata Bhagat, Guddu Kumar Gupta, Amritpreet Kaur Minhas, Deepak Chhabra, Pratyoosh Shukla

“…Abstract Background Natural colorants produced by the cyanobacterium include carotenoids, chlorophyll a and phycocyanin. The current study used the Synechocystis sp. PCC 6803 to examine how abiotic stress conditions, such as low temperature as well as high light intensity, affect the pigment accumulations in comparison to the control conditions. …”
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Machine learning algorithms predict breast cancer incidence risk: a data-driven retrospective study based on biochemical biomarkers by Qianqian Guo, Peng Wu, Junhao He, Ge Zhang, Wu Zhou, Qianjun Chen

“…Abstract Background Current breast cancer prediction models typically rely on personal information and medical history, with limited inclusion of blood-based biomarkers. …”
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A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm by Xiao Qin, Zhishuang Xue, Xueqiang Wang, Kun Song, Xiaoxia Wan

“…In this study, we introduced a genetic algorithm tailored for predicting the maximization of color gamut area. …”
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An efficient metaheuristic optimization algorithm for optimal power extraction from PV systems under various weather and load-changing conditions by Md.Al Imran Fahim, Md.Salah Uddin Yusuf, Monira Islam, Munshi Jawad Ibne Azad

“…Currently, the focus has been shifted towards exploring solar energy due to its environmentally friendly and economic nature. …”
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Formation of Instantaneous Differential and Restraining Cur-rents for Differential Protection of Busbar Assemblies by V. S. Kachenya, M. S. Loman

“…The method of exponential smoothing of the restraining current was considered and investigated. An exponential smoothing algorithm has been proposed and analyzed. …”
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Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient by Fercoq, Olivier

“…We study the linear convergence of the primal-dual hybrid gradient method. After a review of current analyses, we show that they do not explain properly the behavior of the algorithm, even on the most simple problems. …”
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Application of a geostatistical algorithm for correcting well logging data when modelling complex hydrocarbon deposits at the stage of additional field exploration by V. L. Shuster, O. V. Tjukavkina, I. S. Permyakova, I. L. Kapitonova

“…The possibility of using a geostatistical algorithm for correcting well data based on multiparameter geophysical data was assessed; the current state of modelling the processes of exploration and development of oil fields with a complex geological structure was analysed.…”
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Redefining Trauma Triage for Elderly Adults: Development of Age-Specific Guidelines for Improved Patient Outcomes Based on a Machine-Learning Algorithm by Ji Yeon Lim, Yongho Jee, Seong Gyu Choi, Yoon Hee Choi, Sam S. Torbati, Carl T. Berdahl, Sun Hwa Lee

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Applications of machine learning algorithms in lithological mapping of Saint Katherine Neoproterozoic rocks in the South Sinai of Egypt using hyperspectral PRISMA data by Mohamed W. Ali-Bik, Tehseen Zafar, Safaa M. Hassan, Mohamed F. Sadek, Saif M. Abo Khashaba

“…They form non-consanguineous diverse metamorphic and igneous rock units, which are frequently distributed throughout the entire ANS. The current study is focused on the Saint Katherine area, around Wadi Solaf-Wadi Harqus. …”
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Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study by Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

“…A web-based TDM analysis tool was developed using the OPTIVAN algorithm. ConclusionsThe OPTIVAN algorithm represents a significant advancement in personalized initial vancomycin dosing, addressing the limitations of current TDM practices. …”
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Research on Road Sense Simulation Control of Steering-by-Wire Based on Sliding Mode Control by Suojun Hou, Kang An, Zhu An Zheng, Yaning Qin, Qichang Xie

“…On this basis, a sliding mode control algorithm is developed to achieve the necessary road-sensing motor current, guaranteeing system stability and rapid response across various driving scenarios. …”
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Parameter Optimization Design of Light induction Power-taking Device for Transmission Cable by LIN Jin-shu, ZHOU Mao-xi, CHEN Dao-mo, WANG Lu-yang, SUI Li-cheng

“…Current transformer induction power generation has the advantages of strong practicability, wide range of use and high safety, and it is expected to become the most effective energy supply method for online monitoring equipment of power system transmission cables.In order to solve the problems of insufficient low current energy extraction and high current saturation, the current induction power extraction device often adopts the method of increasing the volume and weight of the magnetic core. …”
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