Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

“…This study addresses these challenges by developing and optimizing a robust method for PMOC detection, integrating solid-phase extraction with liquid chromatography-high resolution mass spectrometry (SPE-LC-HRMS). …”
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Optimizing chromosome dispersion quality: the key role of cell density by Chao-Xian Gao, Li-Mei Li, Yu-Ting Chen, Ying-Yan Guo, Bo-Xin Li, Xue-Qin Yang, Chang-Ye Hui

“…ObjectiveThis study aims to optimize metaphase dispersion in automated detection by quantitatively determining the optimal cell suspension density to enhance the accuracy and efficiency of chromosomal aberrations analysis.MethodsLymphocyte metaphase suspensions were prepared using an automated harvesting system and subjected to a concentration gradient of 104–107 cells/mL. …”
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Antibacterial Synergy Detection of Lignin Extract from Oil Palm Empty Fruit Bunches (Opefb) Combined with Amoxicillin Against Staphylococcus Aureus Using The Azdast Method by Rifki Anshory Hendri, Herman Suryadi, Hayun Hayun

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Life prediction of the tensile damage progress for high-speed train gearbox shell based on acoustic emission sensor and an automatic optimization method by Yibo Ai, Chang Sun, Weidong Zhang

“…For the short tensile process leading to significant amount of damage, a real-time and non-destructive detection method has been used to monitor the tensile damage progression and predict the residual life of the material. …”
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Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…This paper aims to utilize soft computing techniques in predicting the outlet fluids’ temperatures for monitoring based on the experience of outdoor experiments. The optimization was conducted using the Particle Swarm Optimization method to decide the rules of the Fuzzy Logic Controller. …”
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A Comprehensive Survey of Cutting-Edge Methods for Software Architecture Evaluation by Amna Sajid, Muhammad Waqas Arshad

“…Within the scope of this study, a thorough analysis is carried out on eighteen different methods. Thirteen of these fall into the category of early evaluation techniques, which are positioned to detect and address architectural problems at the outset of development. …”
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Development of an internalin-based double-antibody sandwich quantitative ELISA for the detection of Listeria monocytogenes in slaughterhouse environments by Qing Cao, Wenjing Shi, Yanquan Wei, Jiayu Wang, Zhonglong Wang, Qian Chong, Qianqian Guo, Kunzhong Zhang, Wenyan Gai, Huitian Gou, Huiwen Xue

“…The antibody pair 1D2-2H10 was selected for use in the sandwich ELISA format. Optimization of the DAS-qELISA method was carried out to determine its detection limits for InlG protein and L. monocytogenes.ResultsThe detection limits of the method were determined to be 32 ng/mg for the InlG protein and 7875.83 CFU/mL for L. monocytogenes. …”
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Evading control flow graph based GNN malware detectors via active opcode insertion method with maliciousness preserving by Hao Peng, Zehao Yu, Dandan Zhao, Zhiguo Ding, Jieshuai Yang, Bo Zhang, Jianming Han, Xuhong Zhang, Shouling Ji, Ming Zhong

“…Abstract With the continuous advancement of machine learning, numerous malware detection methods that leverage this technology have emerged, presenting new challenges to the generation of adversarial malware. …”
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Comparative Analysis and Optimal Selection of Calibration Functions in Pure Rotational Raman Lidar Technique by Yinghong Yu, Siying Chen, Wangshu Tan, Rongzheng Cao, Yixuan Xie, He Chen, Pan Guo, Jie Yu, Rui Hu, Haokai Yang, Xin Li

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Comprehensive analysis on soil nitrogen prediction using near-infrared spectroscopy: Models, methods, and insights for precision agriculture by Xiaoyu Wang, Zhiyou Zhang, Yujiao Li, Jie Li, Qing Yang, Qiqi Liu, Zhijie Gong, Mengling Zhang, Xu Wang, Guanghui Xie

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Data fusion for cooperative detection in cognitive radio system by LIN Wei1, WU Jie1, ZHANG Qin-yu1, ZHANG Nai-tong2

“…Simulation shows the performance of over 60% detection is improved by this fusion method than the method with fixed fusion user number.…”
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Development and application of a highly sensitive quadruple droplet digital PCR method for simultaneous quantification of sulfonamide resistance genes by Xirong Yin, Jiayuan Nie, Huifang Tian, Huifang Tian, Lihong Duan, Lixia Wu, Xiangdong Xu, Yumei Guo, Yumei Guo, Ke Wang, Ke Wang

“…Correspondingly, the primers and probes of sul genes were meticulously designed and rigorously validated, and the critical parameters for ddPCR such as annealing temperature, concentrations of primers and probes were systematically optimized. As a results, the quadruple ddPCR method demonstrates excellent sensitivity with limits of detection (LOD) ranging from 3.98 to 6.16 copies/reaction, and good repeatability (coefficient of variation <25%), adequately meeting the requirement for accurate sul genes quantification. …”
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YOLOv8-BS: An integrated method for identifying stationary and moving behaviors of cattle with a newly developed datasetarchive.org by Md Ishtiaq Ahmed, Huiping Cao, Andrés Ricardo Perea, Mehmet Emin Bakir, Huiying Chen, Santiago A. Utsumi

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Detection of Plants Leaf Diseases using Swarm Optimization Algorithms by Saud Abdul Razzaq, Baydaa Khaleel

“…In the second stage, the features were extracted based on the statistical feature extraction method, while in the third stage, the particle swarm (PSO) and chicken swarm optimization(CSO) algorithms were used to diagnose and classify plant diseases. …”
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Acoustic emission localization model of concrete material based on convolutional neural network by DENG Yongdong, ZHOU Jingren, LU Xiang, CHEN Jiangkang

“…At the same time, in order to verify the localization performance of the constructed localization model, it is compared with the traditional iterative localization method, and the advantages of the constructed localization model in terms of localization accuracy and efficiency are analyzed.Results and Discussions　For the case of 8 sensors, the optimal number of convolutional layers is 4, and the optimal convolutional kernel size is 3×1. …”
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Density-Based Detection Rapid Exploration Random Tree for Multirobot Formation Cooperative Path Planning by Yuzhuo Shi, Yang Yang, Jinjun Liu, Kun Hao, Jiale Zhao, Haoyi Chai

“…First, on the basis of the rapidly exploring random tree (RRT), a density detection rapidly exploring random tree (DDRRT) algorithm is designed to avoid repeated exploration of by the RRT, to quickly generate a global path from the starting point to the destination for the leader robot, and to propose a rope shrinkage path optimization mechanism for path optimization. …”
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Myocarditis Detection Using Proximal Policy Optimization and Mutual Learning by Asadi Srinivasulu, Sivaram Rajeyyagari

“…These results highlight the model's superiority over existing methods and confirm its potential for clinical use, marking a significant advancement in the early detection and treatment of myocarditis.…”
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Optimized Microfluidic Biosensor for Sensitive C-Reactive Protein Detection by Amirmahdi Tavakolidakhrabadi, Matt Stark, Alexander Küenzi, Sandro Carrara, Cédric Bessire

“…Lateral flow immunoassays (LFIAs) were integrated into microfluidic chips and tested to enhance point-of-care testing (POCT), with the aim of improving sensitivity and expanding the range of CRP detection. The microfluidic approach improves upon traditional methods by precisely controlling fluid speed, thus enhancing sensitivity and accuracy in CRP measurements. …”
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Optimization of Configuration Design for Underwater Dam Defect Detection Vehicles by Hong-Xia Cheng, Mei-Jie Cao, Peng-Fei Xu, Yan Kai, Zi-Peng Wang, Gang Wan, Qiao Hu

“…Additionally, various configurations were generated using a free deformation method. An optimization function was established with resistance and stability as the objectives, and the optimal result was derived based on the function’s calculation outcomes. …”
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Modularity Definition and Optimization Algorithm for Community Detection in Signed Hypergraphs by Wei Du, Guangyu Li

“…Experimental results reveal that the proposed method can effectively optimize the objective function and detect community structures.…”
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