Exploration and Practice of Classification Indexing Combined with Large Language Models by JIANG Peng, REN Yan, ZHU Beiling

“…On this basis, the actual indexing workflow is optimized to increase the systematicity and coherence of the indexing work, ensuring that every step from document input to final classification is more efficient and accurate. This optimized workflow has been put into use in the R and F categories of the collection, and it can improve the efficiency of indexing by 1.1 to 1.4 times. …”
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Simulation-Based Analysis of Pressure Distribution on Rotary Soil Loosener Blades by V. I. Myalenko

“…The use of rotary loosening tools for surface soil treatment at seed sowing depth offers several advantages over traditional implements in terms of both energy efficiency and reduced soil impact intensity. (Research purpose) The study aims to determine the distribution patterns of soil pressure on the blades of a rotary soil loosener under simulated loading conditions. …”
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A Ship Emission Monitoring Option for Fuel Sulphur Content Measurement in Complex Environments by Fan Zhou, Xiaojia Lin, Liwei Hou

“…Limiting the fuel sulphur content (FSC) of ships can significantly reduce the harm caused by ship emissions, and analyzing ship exhaust gas to estimate FSC is a rapid, efficient, and low-cost monitoring method. To solve the difficulty in measuring FSC using sniffer equipment in a complex port area, a ship emission monitoring option for FSC measurement in complex environments is proposed here. …”
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Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning studyResearch... by Shaolin Chen, Ting Deng, Qing Yang, Jin Li, Juanyan Shen, Xu Luo, Juan Tang, Xulian Zhang, Jordan Tovera Salvador, Junliang Ma

“…This study aimed to develop and validate an explainable machine learning (ML) model to predict PPCs in patients with LC undergoing surgery. Methods: A risk factor variable pool was determined by meta-analysis and Delphi surveys. …”
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Analysis of the state of geometrization development and digital modeling in open-pit mining enterprises by M.S. Kunytska, D.S. Polishchyk, O.V. Shapochnikov

“…It is proven that modern geometrization methods contribute to the sustainable development of the industry by increasing the efficiency of resource use, reducing the cost of production and minimizing the impact on the environment.…”
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Identifying the factors affecting the growth of the employees of the country's property and documents registration organization by Najmeh Ahmadi, Kolsoum Nami, Nader Ghourchian, Parivash Jafari

“…Extended abstract Introduction The main factor determining the growth of the society in the current changing conditions of the world is the availability of efficient and creative human resources, which depends on the availability of knowledge, education, and research. …”
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Evaluation and ranking of solutions to overcome the barriers of Industry 4.0 enabled sustainable food supply chain adoption by Swapnil Lahane, Vishal Paliwal, Ravi Kant

“…The relative weights of each barrier are determined using the PF-AHP technique, and the solution to these barriers is prioritized using the PF-EDAS method. …”
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Endoscopic transpapillary interventions in treatment of patients with biliary hypertension of various genesis by V. M. Durleshter, S. A. Gabriel’, A. Ya. Guchetl’, V. Yu. Dyn’Ko

“…OBJECTIVE. The study determined the efficacy of endoscopic transpapillary methods in diagnostics and treatment of patients with obstructive jaundice of different etiology. …”
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Digital transformation in the construction industry: Analysing the impact of technological changes on construction processes by Olena Emelianova, Viktoriya Tytok, Kateryna Lavrukhina, Inna Shatrova, Olena Demydova

“…The methods of literature review, experimentation, and abduction were used. …”

Neuron specific enolase as a possible indicator of neuron damage in children with acute meningitis by L. V. Pypa, R. V. Svistilnik, G. S. Moskovko, Yu. M. Lysytsia, , M. M. Murhina

“…The degree of impaired consciousness was determined by the Glasgow Coma Scale. The results were processed with the Student’s t-test, correlation and regression analysis methods with constructing confidence intervals. …”
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Overall survival in colon cancer patients with different levels of circulating tumor cells and feasibility of enhancing its prognostic value by O. I. Kit, E. Y. Zlatnik, I. A. Novikova, E. P. Ulianova, A. A. Demidova, E. N. Kolesnikov, Yu. A. Gevorkyan, N. V. Soldatkina, A. V. Snezhko

“…Our aim was to assess the overall survival (OS) of patients with stage II–IV CC with different levels of CTCs as well as to enhance their prognostic value by additionally determining the level of CD44+ CSCs. Material and methods. …”
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Management and Productivity: Foreign Conceptions and Verification Problem by E. L. Moreva

“…Their application with the survey method would result in the constitution of the efficient instrument not only for the operative and reliable determination of the link between management and productivity of various sectors and countries but for the respective economic policy elaborated and realized on such a basis. …”
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UV Spectrophotometric Estimation of Levoceterizine Dihydrochloride in Bulk and Dosage Form by P. Mamatha, P. V. Anantha Lakshmi, P. L. Prasunamba

“…A new simple, rapid, accurate, sensitive and precise spectrophotometric method in ultra violet region has been developed for the determination of levoceterizine dihydrochloride (LCTZ) in bulk drug and tablet dosage form. …”
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Demonstration of accurate ID-VG characteristics modeling in SiC mosfets using separated artificial neural networks with small training dataset by Manopat Chankla, Bang-Ren Chen, Shivendra Kumar Singh, Yogesh Singh Chauhan, Wen-Jay Lee, Nan-Yow Chen, Songphol Kanjanachuchai, Tian-Li Wu

“…A transition layer is also used to model the transition between the ON- and OFF-states. We evaluated our method on training datasets of various sizes. This method achieved a coefficient of determination (R 2) exceeding 99.96% on 3000 I D –V G curves when training was conducted using only 150 randomly selected curves, with a modeling time of less than 10 s. …”
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Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction by Qinghang Wang, Xu Qin, Shouxin Xia, Li Wang, Weiqi Wang, Weiying Huang, Yan Song, Weineng Tang, Daolun Chen

“…The data reconstruction method reorganizes and transforms the original data to extract more representative features, significantly improving the model's generalization ability and prediction accuracy, with a coefficient of determination (R2) of 95.9 % for the ultimate tensile strength (UTS) model and a R2 of 95.3 % for the elongation-to-failure (EL) model. …”
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Based on Regular Expression Matching of Evaluation of the Task Performance in WSN: A Queue Theory Approach by Jie Wang, Kai Cui, Kuanjiu Zhou, Yanshuo Yu

“…Experiments show that our approach ensures accurate matching and computational efficiency of more than 70%; it not only effectively detects data packets and access control, but also uses queuing method to determine the parameters of task scheduling in wireless sensor networks. …”
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Hierarchical Control Based on Ramp Metering and Variable Speed Limit for Port Motorway by Weiqi Yue, Hang Yang, Meng Li, Yibing Wang, Yusheng Zhou, Pengjun Zheng

“…A microscopic simulation using SUMO in the Guoju area of the Chuanshan Port Motorway demonstrated that the proposed method increases traffic capacity by approximately 16% compared to the no-control scenario and improves traffic efficiency by 4.8% and 4.5% compared to PI-ALINEA and MTFC-FB, respectively. …”
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Research on Surrogate Model of Variable Geometry Turbine Performance Based on Backpropagation Neural Network by Liping Deng, Hu Wu, Yuhang Liu, Qi’an Xie

“…When the throat area of the single-stage turbine nozzle changed by ±30%, the maximum relative errors between the calculated mass flow rate and efficiency and their experimental values were 3.602% and 4.228%, respectively; thus, the determination coefficients of the constructed BP neural network model for the training samples were all greater than 0.999, indicating that the surrogate model has high prediction accuracy and strong generalization ability and can quickly predict variable geometry turbine cooling performance.…”
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APPLICATION OF HYBRID MEMETIC ALGORITHM IN OPTIMAL CONTROL NONLINEAR STOCHASTIC SYSTEMS WITH INCOMPLETE FEEDBACK PROBLEMS by A. V. Panteleev, V. N. Panovskiy

“…Verification of obtained results using the solution detected with local variations method was done. The described results show the sufficient efficiency level and reflect the necessity of further research in this direction.…”
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An integrated ecosystem monitoring technology for coal mining subsidence areas and its application in the Shendong mining area by Yang CHENG, Wei LIU, Na ZHANG, Guanjie LI, Kai LIU, Chengye ZHANG, Jun LI

“…By detailing the integrated coal-rock-water-soil-air-vegetation-carbon monitoring technology system, this study determined the factors, principal methods, and technology roadmap for the integrated ecosystem monitoring in the Shendong coal mining subsidence area. …”
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