Network quality and user perception improvement of high-speed rail scene by Songbai LIANG, Yingwu GUO, Xinwei LI

“…In view of the difficulty in improving the quality of mobile network in high-speed railway scenes and the poor efficiency of conventional methods, a methodology system for improving the perception of mobile communication users was explored in traffic trunk lines, especially in high-speed railway scenes.The methodology system was based on handover chain optimization with the core idea of “primary covering, reasonable reselection and orderly switching”.It adopted a three-layer theoretical structure include covering control firstly, then parameter optimization, and feature loading last.It used idle state and service state data pull graph correlation to determine problem road sections and cells, match the delay parameters of high-speed mobile scenes, load service quality and perception characteristics, and greatly improved the high-speed railway network quality and user perception.This method started from the principle analysis, with practical application, it could effectively solve the network problems, which could be fully extended to other linear scenes.…”
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Robot path planning using enhanced Q-learning algorithm based on single parameter. by Noor Fallooh, Ahmed Sadiq, Eyad Abbas, Ivan Hashim

“…This reliance can reduce the number of parameters and increase the algorithm’s execution efficiency. A modified version of Q-learning was investigated with to determine the optimal path planning in several dynamic obstacle environments. …”
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Conceptual Basis for Developing Electric Plot Combine Harvester with Combined Power-Generating Plant by Mikhail E. Chaplygin, Ivan A. Starostin, Alexander S. Ovcharenko

“…These tasks include determining the optimal parameters of the removable energy module and electric drive of the main units of the plot combine harvester using the method of mathematical simulation of their energy consumption in various operating modes.…”
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Optimization of the heat recovery performance of enhanced geothermal system based on PSO-GA-BP neural networks and analytic hierarchy process by Ling Zhou, Jingchao Sun, Yanjun Zhang, Yunjuan Chen, Honglei Lei

“…However, it is time-consuming to optimize the scheme only by comparing the numerical simulation methods, and it is difficult to determine the globally optimal operation strategy. …”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…Ensuring data quality in CEA systems is essential, as it affects system stability and operational efficiency. This research aims to assess system stability by analyzing the correlation between cumulative agricultural operations (Agr.Ops) and air temperature data variability.MethodsThe methodology involved collecting air temperature data from IoT sensors in the CEA system throughout lettuce cultivation trials. …”
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Research on Obstacle-Avoidance Trajectory Planning for Drill and Anchor Materials Handling by a Mechanical Arm on a Coal Mine Drilling and Anchoring Robot by Siya Sun, Sirui Mao, Xusheng Xue, Chuanwei Wang, Hongwei Ma, Yifeng Guo, Haining Yuan, Hao Su

“…At present, China’s coal mine permanent tunneling support commonly uses mechanized drilling and anchoring equipment; there are low support efficiency, labor intensity, and other issues. In order to further improve the support efficiency and liberate productivity, this paper further researches the trajectory planning of the drilling and anchoring materials of the robotic arm for the drilling machine “grasping–carrying–loading–unloading” on the basis of the drilling and anchoring robotic system designed by the team in the previous stage. …”
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Effect of different drying techniques on the physicochemical and nutritional properties of Moringa oleifera leaves powder and their application in bakery product by B.M. Khaled, Ashish Kumar Das, S. M. Shamiul Alam, Nazmus Saqib, Md. Suman Rana, Sumia Rahman Sweet, Tamanna Naznin, Md. Pallob Hossain, Shanto Sardar, Zakaria Hossain, Suzana Marzan, Afrina Yesmin

“…The study analyzed the influence of drying methods and conditions on the quality of moringa leaves powder (MLP) and determined the optimal MLP to wheat flour ratio for cake development. …”
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Liquid Chromatography-Tandem Mass Spectrometry Detection of Human and Veterinary Drugs and Pesticides in Surface Water by Xiang-Pu Zhang, Shu Zhang, Chun-Yan Xu, Wei-Wei Li, Hai-Bo Ling, Yang Luo, Kang Jian, Tao Li, Chuan Yi

“…To address this knowledge gap, a concise and sensitive analytical method is proposed in which three classes of human and veterinary drugs (sulfonamides, macrolides, and hormones) and two classes of pesticides (organophosphorus and neonicotinoids) are simultaneously extracted and determined in surface water. …”
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A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

“…In this paper, we propose an efficient mixed-precision search method that tackles this problem. …”
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Characterization of expanded vermiculite to use as natural barrier in repository by Thais Braga Teixeira, Clédola Cássia Oliveira de Tello

“…The helium ultrapicnometer method was used to determine the density. The microstructure was analyzed by X-ray diffraction and scanning electron microscopy. …”
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Network flow optimization for restoration of images by Boris A. Zalesky

“…The Ising models are used as a statistical background of the proposed method. We present the new multiresolution network flow minimum cut algorithm, which is especially efficient in identification of the maximum a posteriori (MAP) estimates of corrupted images. …”
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Grouping based calculus for propositional linear temporal logic by Kostas Ragauskas, Adomas Birštunas

“…The task involves defining the standard rule application process for the derivation procedure (as used in [4] and [5]), determining and proving properties for the absence of a loop beneath some sequent, and creating a new calculus G*TL, which uses the proposed sequent grouping method, along with the method of marks (similar marking concepts were proposed in  [5] and [6]). …”
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VARIANTS OF С-572G OF IL6 AND С-1112T OF IL13 GENES POLYMORPHISMS AND FEATURES OF THE CLINICAL COURSE OF DIFFUSE TOXIC GOITER by N. E. Peikrishvili, S. V. Dora, A. R. Volkova, A. A. Panteleeva, S. N. Pchelina, E. V. Shlyakhto

“…At the same time, there are no reliable criteria to predict the efficiency of drug therapy. It is widely discussedin literature that singlenucleotide polymorphism (SNP) at cytokine-encoding genesnot only confers susceptibility to the DTG, but also has impact on the features ofclinical course of the disease .The aim of this study was to determine whether the SNPs in -572C/G (rs1800796) of IL6 or -1112C/Т (rs1800925) of IL13 genes can influence thedevelopment and clinical course of the diffuse toxic goiter (DTG).Materials and methods. …”
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Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

“…Finally, according to the characteristics of the Lab value change, the browning index and browning area during the browning process of loquat flesh section, the principal components were extracted and ranked by the affiliation function, by which the browning resistance grading of the 10 loquat resources was comprehensively realized. [Results] A method based on the MATLAB image segmentation algorithm was established to rapidly identify loquat flesh browning, and the CIE-Lab color space transformed by MATLAB could accurately identify the flesh browning phenotypes of the different resources, which would be mostly close to the results determined by colorimeter. …”
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Dynamic Analysis and Equivalent Modeling for a Four-Axle Vehicle by Dequan Zeng, Wei Luo, Yinquan Yu, Yiming Hu, Peizhi Zhang, Giuseppe Carbone, Dongfu Xie, Huafu Fang, Letian Gao

“…Finally, for a more simple and efficient analysis of response characteristics of four-axle vehicles and even <i>n</i> (<i>n</i> > 4) axle vehicles, the equivalent model is developed for the four-axle vehicle, and comprehensive analyses are presented with four equalization methods, which are based on the inner heart of the approximation triangle, the outer heart of the approximation triangle, the center of gravity of the approximation triangle and the compensation point. …”
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Green Extraction Strategies and Bioactivity of <i>Rheum cordatum</i> Losinsk: Antioxidant, Antimicrobial, and Molecular Docking Insights by Madina Amangeldinova, Mehmet Ersatır, Adem Necip, Mehmet Cimentepe, Nataliya Kudrina, Nina Terletskaya, Ozge Oztürk Cimentepe, Oguz Cakır, Mustafa Abdullah Yilmaz, Metin Yildirim

“…This study aimed to compare the efficiency of different green extraction methods for obtaining bioactive compounds from the roots of <i>Rheum cordatum</i> Losinsk and to evaluate their antioxidant and antimicrobial properties. …”
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Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

“…Abstract Background Protein structure prediction is one of the most important scientific problems, on the one hand, it is one of the NP-hard problems, and on the other hand, it has a wide range of applications including drug discovery and biotechnology development. Since experimental methods for structure determination remain expensive and time-consuming, computational structure prediction offers a scalable and cost-effective alternative and application of machine learning in structural biology has revolutionized protein structure prediction. …”
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Optimizing Goods Placement in Logistics Transportation using Machine Learning Algorithms based on Delivery Data by Moh Husnus Syawab, Yunifa Miftachul Arief, Fresy Nugroho, Ririen Kusumawati, Cahyo Crysdian, Agung Teguh Wibowo Almais

“…By doing so, they sought to determine which method delivers more accurate predictions for the optimal placement of goods. …”
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Simulation Optimization of Shovel-Truck System in Open-Pit Mines Considering Rockmass Parameters by Shafi Muhammad Pathan, Abdul Ghani Pathan, Muhammad Saad Memon

“…The findings highlight the effectiveness of this method in improving overall operational efficiency and economics in open-pit mining. …”
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Supervised Density-Based Metric Learning Based on Bhattacharya Distance for Imbalanced Data Classification Problems by Atena Jalali Mojahed, Mohammad Hossein Moattar, Hamidreza Ghaffari

“…The results of the experiments show that using the proposed method significantly improves the efficiency of the classifier in imbalance classification problems. …”
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