Modeling and Simulation of Insulin Pump Set Failures Based on the Power Flow Method by Weijie Wang, Dinghui Guo, Long Quan, Shiwei Liu

“…Findings reveal that leakage faults closer to the flow source significantly reduce the output flow rate and chamber pressure. …”
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Estimating the travel distance of channelized rock avalanches using genetic programming method by Zhang Yong, Wang Tao, Deng Mingfeng, Chen Ningsheng

“…Considering the advantages of machine learning in data processing, 49 channelized rock avalanche events and three machine learning methods (genetic programming (GP), support vector machine (SVM), and multilayer perceptron (MLP)) were selected for model optimization and establishment. …”
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Comparative analysis of methods for seasonal particulate organic nitrate estimation in urban areas by Wenfei Zhu, Jialin Shi, Song Guo, Qinghong Wang, Jun Chen, Shengrong Lou, Min Hu

“…The factors associated with organic nitrate, as identified through two receptor methods, exhibited consistent daily patterns in spring, summer, and autumn, although source contributions varied. …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Leveraging the theoretical framework of pinch technology from process engineering, this paper proposes an Electricity Pinch Analysis (EPA) method for flexibility assessment. First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

“…The method is based on the weighted average of sensitive logging curves and TOC test results as the original data set. …”
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A Review of Wind Power Prediction Methods Based on Multi-Time Scales by Fan Li, Hongzhen Wang, Dan Wang, Dong Liu, Ke Sun

“…This work uses a narrative method to synthesize and discuss wind power prediction methods. …”
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Method-Level Syntactic and Semantic Clustering for Microservice Discovery in Legacy Enterprise Systems by Adambarage Anuruddha Chathuranga de Alwis, Alistair Barros, Colin Fidge, Artem Polyvyanyy

“…Semantically, business objects derived from databases form the basis for prospective clustering of those methods that act on them as modules, while on a syntactic level, structural and interaction details between the methods themselves provide further insights into module dependencies for grouping, based on K-means clustering and optimization. …”
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Secondary System Fault Detection Method Based on Association Rules and Reconstruction Error by Yang WANG, Weidong MA, Jiming LIU, Boshi WANG, Kai YAO, Wei HAN, Juan YU

“…Therefore this paper proposes a secondary system fault detection method based on association rules and reconstruction errors. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Multi-event mode and time-gating method are extensively employed due to their effective suppression ability of the ambient light interference with easily implemented circuit structure. …”
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Research progress of mine 3D geological modeling: Principle, method and application by Cun ZHANG, Sheng JIA, Ye HUA, Qi SONG

“…Additionally, it helps to reduce risks and optimize resource utilization. This paper summarizes the principles and methods of existing 3DGM technologies. …”
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Combined Effects of Magnetized Irrigation and Water Source on Italian Lettuce (<i>Lactuca sativa</i> L. var. <i>ramosa</i> Hort.) Growth and Gene Expression by Xueying Yao, Xiaofan Wang, Mingshan Qu, Yibo Wei, Feifei Shan, Youli Li

“…Agricultural water scarcity has become a global issue. Optimizing irrigation water quality and effectively utilizing non-conventional water resources are essential strategies to alleviate pressure on agricultural water use and achieve sustainable development. …”
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KAJIAN LITERATUR SISTEM INFORMASI MANAJEMEN STOK by Guntur Maulana Putra, Sheila Nurul Huda

“…This research uses qualitative descriptive writing with library research methods. by reviewing various bibliographic source journals. …”
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Valorization of <i>Tagetes erecta</i> L. Leaves to Obtain Polyphenol-Rich Extracts: Impact of Fertilization Practice, Phenological Plant Stage, and Extraction Strategy by Narda Mejía-Resendiz, Martha-Estrella García-Pérez, Gina Rosalinda De Nicola, Noé Aguilar-Rivera, Emma-Gloria Ramos-Ramírez, María Galindo, Miguel Avalos-Viveros, José-Juan Virgen-Ortiz

“…This underscores the significance of <i>T. erecta</i> leaf residues as a valuable source of bioactive molecules, highlighting the importance of integrating agricultural practices and chemical extraction methods to enhance the phenolic content in leaf extracts from this species.…”
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A comprehensive review of data analytics and storage methods in geothermal energy operations by Ali Basem, Ahmed Kateb Jumaah Al-Nussairi, Dana Mohammad Khidhir, Narinderjit Singh Sawaran Singh, Mohammadreza Baghoolizadeh, Mohammad Ali Fazilati, Soheil Salahshour, S. Mohammad Sajadi, Ali Mohammadi Hasanabad

“…Geothermal energy storage (GES) systems are thoroughly examined in this research, with a focus on methods like borehole thermal energy storage (BTES), underground thermal energy storage (UTES), and aquifer thermal energy storage (ATES). …”
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An advanced 10K SNP panel for genotyping tomato (Solanum lycopersicum L.) via targeted genome sequencing by Yawo Mawunyo Nevame Adedze, Yanfen Xu, Song Liu, Yaran Zhao, Changjuan Mo, Renxu Zhang, Jiahui Dong, Haofa Lan, Jingjing Huang, Xingming Chen, Xuefei Gao, Qingzhen Yin, Jianan Zhang

“…A series of criteria were performed for site selection and for assessing the sequencing data effectiveness.Results and discussionThe panel designated as the GenoBaits Tomato 10K panel ultimately comprised 11,174 background sites, with 74.83% sourced from database 1 upon optimization. The uniformity_50 and capture efficiency of this panel were 98.03% and 74.84%, respectively, while the SNP detection rate was 99.34%. …”
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Comparative Analysis of Perspective Extragation Methods for Receiving Extractions from Fenugreek Seeds by S. S. Belokurov, E. V. Flisyuk, I. A. Narkevich, V. G. Luzhanin, S. V. Shilov, K. O. Novikova

“…Plant extracts with a high level of risk do not have a harmful effect on the human body, except that they provide environmental safety, which creates a special interest for the pharmaceutical industry . vibrocavitation and supercritical fluid СО2 extraction.Aim. The choice of the optimal level of extraction to obtain a high level of fenugreek seeds.Materials and methods. …”
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Gas chromatography for analysis and estimation of 13C at natural abundance level in fatty acids produced from Aurantiochytrium limacinum, a sustainable source of polyunsaturated fa... by Amina M. Dirir, Kaumeel Chokshi, Kaumeel Chokshi, Abdelmoneim H. Ali, Media Alhanawi, Mohan Rommala, Mayssa Hachem, Mayssa Hachem

“…In this study, we first optimized the culture conditions of A. limacinum ATCC MYA-1381 (strain SR21). …”
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Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images by Jeremiah M. Riendeau, Amani A. Gillette, Emmanuel Contreras Guzman, Mario Costa Cruz, Aleksander Kralovec, Shirsa Udgata, Alexa Schmitz, Dustin A. Deming, Beth A. Cimini, Melissa C. Skala

“…Abstract Autofluorescence microscopy uses intrinsic sources of molecular contrast to provide cellular-level information without extrinsic labels. …”
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Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…A focal loss function was employed to enhance the model's focus on the drill head and gripper, and Bayesian parameter optimization was used for hyperparameter tuning. Then, the measured point cloud is registered using the Fast Point Feature Histogram (FPFH) and Iterative Closest Point (ICP) algorithms to obtain the transformation matrix from the measured point cloud to the source point cloud. …”
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Real‐Time Self‐Optimization of Quantum Dot Laser Emissions During Machine Learning‐Assisted Epitaxy by Chao Shen, Wenkang Zhan, Shujie Pan, Hongyue Hao, Ning Zhuo, Kaiyao Xin, Hui Cong, Chi Xu, Bo Xu, Tien Khee Ng, Siming Chen, Chunlai Xue, Zhanguo Wang, Chao Zhao

“…Abstract Traditional methods for optimizing light source emissions rely on a time‐consuming trial‐and‐error approach. …”
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