Development of Quality Information Management System for Alumina Ceramic Tube Manufacturing Process by Yulong Huang

“…Obviously, this research is based on the two parts of alumina ceramic tube and quality management information system for data acquisition and analysis. One part is based on the production and performance analysis of alumina ceramic tube and summarizes the quality problems that occurred in this process. …”
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Finite Element Modeling of Crack Generation in Laser Shock Peening Processed Airfoils by Fang Li, Xue Qi, Dan Xiang

“…The constants in this plastic model have been optimized with experimental data. The FEM model also includes both damage initiation and evolution criteria to simulate cracks generated by LSP process in the specimens. …”
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Latitudinal Factor in the Cooling Process of Coastal Waters in the Eastern Part of the Baltic Sea by Korobchenkova Ksenia, Kileso Aleksandr, Kupriyanova Anastasia

“…A study of the latitudinal variation of the water cooling process along the eastern coast of the Baltic Sea in 2016 and 2018 was carried out based on field and reanalysis data. …”
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The Nexus Between Good/Bad Governance and Citizens’ Participation in Nigeria’s Electoral Process by Kelechi Johnmary Ani

“…This study focuses on an assessment of the place of good/ bad governance in determining the nature of the electoral process in Nigeria. The study adopted a qualitative approach and used secondary data from other literature sources. …”
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Performance Optimization of Multi-Roller Flat Burnishing Process in Terms of Surface Properties by Minh-Thai Le, An-Le Van, Trung Thanh Nguyen

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Binary Quasi-differential Stochastic Process Keying Modulation Scheme for Covert Communications by Z. J. Xu, S. Zhang, Z. W. Liu, J. L. Lin, X. S. Huang, Y. Gong

“…Covert communication working at the physical layer provides an important means for ensuring the security of private user data. This work proposes a novel covert communication system based on binary quasi-differential stochastic process keying (BQDSPK). …”
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Surveying local CAR T-cell manufacturing processes to facilitate standardization and expand accessibility by Deven Gupta, Beth Shaz

“…Conclusions This study highlights the widespread adoption of local CAR T-cell manufacturing and the significant variability in production processes across institutions. The findings emphasize the importance of establishing quality control benchmarks and data reporting frameworks to improve product consistency and access to CAR T-cell therapies. …”
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Analysis and Research on Intelligent Logistics Data under Internet of Things and Blockchain by Yige Li

“…To explore the security performance of logistics data transmission in an Intelligent Logistics System (ILS) under the Internet of Things (IoT) and Blockchain (BC), IoT is introduced to optimize the logistics transportation process. …”
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Studies on Characterization of Corn Cob for Application in a Gasification Process for Energy Production by Anthony I. Anukam, Boniswa P. Goso, Omobola O. Okoh, Sampson N. Mamphweli

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Features of the COVID-19 Epidemic Process in Each of the of the Five Waves of Morbidity in Russia by L. S. Karpova, A. B. Komissarov, K. A. Stolyarov, N. M. Popovtseva, T. P. Stolyarova, M. Yu. Pelikh, D. A. Lioznov

“…To assess the intensity of the epidemic process in each of the five waves of COVID-19 in Russia.Materials and methods. …”
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Whole Process Carbon Footprint Traceability of Dalian City Based on STIRPAT Model by Na ZHANG, Lin ZHAO, Wenying SHANG, Xing JI, Jia LI, Yuhui HUANG

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Analysis of the epidemiological situation of true pemphigus in Azerbaijan in the process of long-term dynamics by G. Z. Faradzheva

“…With the aim of a deeper study of the intensity of the epidemiological process and obtaining more reliable data, we set the task of analyzing the increase in morbidity in long-term dynamics (coverage of a large period, together with the results of S. …”
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Advanced Machine Learning Approaches for Predicting Machining Performance in Orthogonal Cutting Process by Sabrina Al Bukhari, Salman Pervaiz

“…We investigated the orthogonal cutting process by using machine learning models to predict its performance. …”
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A Study of Data-Driven Enterprise Human Resource Management Model by Jing Yang, Lili Lang, Shaojuan Song

“…According to the dynamic big data such as employee welfare, employee compensation, employee training, employee overtime, and timeliness of transaction processing, this paper analyzes the social problems such as corporate social responsibility evaluation index, employee turnover rate, and enterprise income, so as to provide theoretical support for enterprise business strategy.…”
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Effect of Vacuum Process on Enrichment of Low-Concentration Coal Mine Methane by Adsorption by Yuanyuan Kang, Yingshu Liu, Wenhai Liu, Ye Li, Ningqi Sun, Quanli Zhang, Ziyi Li, Xiong Yang

“…Under the adsorption pressure of 110 kPa and the desorption pressure of 10 kPa, 12% of CMM can be enriched to more than 25%, with a recovery rate higher than 80%. The exhaust process can significantly increase the product gas concentration. …”
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Geodynamic processes, Cenozoic rifting and the mechanism of formation of the deepest depressions on land in Antarctica by Alexey A. Baranov, Leopold I. Lobkovsky

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The Substitution of Natural Gas with Biomethane in an Industrial Fluidized Bed Sand Drying Process by Mônica Valéria dos Santos Machado, João Andrade de Carvalho, Ivonete Ávila, Andreas Nascimento, Felipe Solferini de Carvalho

“…Drying sand using a fluidized bed process is very common in the industries that use the material in their processes. …”
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Filtering and Overlapping Data for Accuracy Enhancement of Doppler-Based Location Method by Rafał Szczepanik, Jan M. Kelner

“…The use of overlapping at the signal sample level with a factor of 10% allows for more than a twofold decrease in localization errors, while overlapping at the DFS vector provides an increase in the refresh rate of the position of localized objects. Comparative analysis with direct position determination techniques additionally showed high effectiveness of the SDF method, especially using data filtration and overlapping. …”
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Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values by Ahmed A. Khalil, Zaiming Liu, Ahmed Fathalla, Ahmed Ali, Ahmad Salah

“…We proposed addressing the missing data and the class imbalance problems with different methods. …”
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Simulation of Molten Salt Electrorefining Process of U-Pu-Zr Ternary Alloy by Sai WANG, Ru-shan LIN, Lei ZHANG, Yu-xin DU, Zhi-hua CHEN

“…Molten salt electrorefining dry reprocessing technology is a pyroprocessing technology with sufficient research and high technical maturity. In the process of research on the electrorefining process of spent fuel, the experimental research is very expensive and time-consuming, the experimental conditions and variables cannot be carried out comprehensively, and it is difficult to obtain reliable data under extreme conditions. …”
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