Application research of distribution network based on quantum secure communication and 5G hard-slicing private network by Zhongping WU, Lujie WANG, Jianuo XU, Yanbo WANG, Liwei ZHANG

“…With its significant advantages of ultra-low latency, ultra-high bandwidth, and ultra-large-scale connection, 5G technology effectively compensates for the shortcomings of traditional optical fiber communication in the distribution network field, and provides a new network communication method for power distribution applications.However, the information security issues brought by the applications of 5G technology have appeared gradually.Based on this, a distribution network application scheme based on quantum secure communication and 5G hard-slicing private network was proposed.An end-to-end 5G hard-slicing private network for distribution network services was customized, and ensuring data transmission security by quantum secure communication technology.And this scheme has been deployed and verified in the actual distribution service network scenario, and the results showed that the average delay of 5G hard-slicing private network was 16.89 ms, the download sending and receiving rates were 380 Mbit/s and 371 Mbit/s, respectively, the upload sending and receiving rates were 31.2 Mbit/s and 30 Mbit/s, which meets the communication requirements of distribution network applications.Based on quantum secure communication technology, the quantum bit error rate was 0.75%, and the transmitted data can be encrypted and decrypted smoothly, which verified the feasibility of quantum secure communication and 5G hard-slicing technology in the distribution network.…”
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Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives by Muqadas Shahzadi, Hamad Rafique, Ahmad Waheed, Hina Naz, Atifa Waheed, Feruza Ravshanovna Zokirova, Humera Khan

“…This review provides an overview of the current applications and challenges of AI for CAR-based therapies and suggests some directions for future research and development. …”
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Evaluating 3D Hand Scanning Accuracy Across Trained and Untrained Students by Ciprian Glazer, Mihaela Oravitan, Corina Pantea, Bogdan Almajan-Guta, Nicolae-Adrian Jurjiu, Mihai Petru Marghitas, Claudiu Avram, Alexandra Mihaela Stanila

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Application of Residual Shear Strength Predicted by Artificial Neural Network Model for Evaluating Liquefaction-Induced Lateral Spreading by Yanxin Yang, Bai Yang, Chunhui Su, Jianlin Ma

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APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITY by Frans Karta Sayoga Sitohang, Sifriyani Sifriyani, Siti Mahmuda

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Wind Speed Probability Distribution Based on Adaptive Bandwidth Kernel Density Estimation Model for Wind Farm Application by Tin Trung Chau, Thu Thi Hoai Nguyen, Linh Nguyen, Ton Duc Do

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SUSCEPTIBLE VACCINATED INFECTED RECOVERED SUSCEPTIBLE MODEL: EQUILIBRIA POINTS AND APPLICATION ON COVID-19 CASE DATA IN INDONESIA by Purnami Widyaningsih, Anas Ivanni, Nughthoh Arfawi Kurdhi

“…This study aims to construct the SVIRS model, identify the equilibria points thus apply it to COVID-19 case data in Indonesia, and determine transmission patterns, model accuracy, and interpretation. Literature and applications are the research methodologies employed. …”
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User Analysis of Info BMKG Application in The Perspective of Human Computer Interaction Using Support Vector Machine Algorithm by Ilham Fannani, Enggar Novianto, Alfin Syarifuddin Syahab

“…The evaluation proposal was made from more than 3,000 user reviews collected from the INFOBMKG application on the Google Play Store. The results of the analysis using the Support Vector Machine produce an accuracy of 85.54 % and the most frequently reviewed positive review results are "Good", while the most frequently reviewed negative reviews are "Error". …”
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A Multilingual Approach to Aspect-Based Sentiment Analysis on Gobis Suroboyo Application Reviews using LDA and SVM by Dianita Puspitasari, Eka Dyar Wahyuni, Reisa Permatasari

“…The research results show six main aspects that frequently appear in reviews, namely Application Features and Development, User Suggestions and Service Innovation, Error and Location Accuracy, Delay and Application Usability, Comfort and Service Quality, as well as Route Tracking and Vehicle Information. …”
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Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences by Dazheng Zhang, Bingyu Zhang, Huiyuan Wang, Yiwen Lu, Charles J. Wolock, Wenjie Hu, Linbo Wang, George Hripcsak, Yong Chen

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Implementation on Electronic Circuits and RTR Pragmatical Adaptive Synchronization: Time-Reversed Uncertain Dynamical Systems' Analysis and Applications by Shih-Yu Li, Cheng-Hsiung Yang, Li-Wei Ko, Chin-Teng Lin, Zheng-Ming Ge

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A Supervised Machine Learning-Based Approach for Task Workload Prediction in Manufacturing: A Case Study Application by Valentina De Simone, Valentina Di Pasquale, Joanna Calabrese, Salvatore Miranda, Raffaele Iannone

“…This paper presents an approach that leverages machine learning to enhance workload prediction with minimal data collection, making it particularly suitable for SMEs. A case study application using supervised machine learning models for regression, trained in an open-source data analytics, reporting, and integration platform (KNIME Analytics Platform), has been carried out. …”
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Application of Improved Image Processing Technology in New Media Short Video Quality Improvement in Film and Television Postproduction by Yi Wang

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Application of Seq2Seq models for predicting the development of thunderstorm activity to enhance the pilot’s situational awareness in flight by G. V. Kovalenko, I. A. Yadrov

“…The paper presents the results of application of Seq2seq models based on neural networks for nowcasting-forecasting with a lead time of up to 2 hours – of thunderstorm activity in order to increase situational awareness of aircraft crews. …”
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Structural optimization, compressive strength analysis, and application exploration of triply periodic minimal surfaces (TPMS) in interior design by Yu Huang, LeiLei Zhai

“…This study provides a solid theoretical foundation and extensive experimental evidence for the application of TPMS structures in interior design.…”
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Simulation of Self-Occlusion Virtual Dataset Method for Robust Point Matching Algorithm, With Applications to Positioning of Guide Vanes by Fenglin Han, Hang Peng, Xian Wu, Haonan Ren, Yiwei Sun, Bin Su

“…The application of point cloud registration technology for workpiece positioning compensation using optical three-dimensional measurement methods has attracted widespread attention in the manufacturing industry, particularly point cloud registration methods integrated with deep learning are booming. …”
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Fat globule size distribution in commercial ice cream determined through ideal application of the laser diffraction technique by Rafael A. Garcia, Faith Olszewski, Benjamin M. Plumier

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Comparative study of structural behavior of CFRP tubes and traditional steel for pile and column applications compliance with international codes by Mahmoud El Gendy, Ibrahim El Arabi, Ahmed ELbarbary, Mohamed Hamed

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Discontinuous Galerkin method for a three-dimensional coupled fluid-poroelastic model with applications to brain fluid mechanics by Ivan Fumagalli

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Optimization and Application of Spacing Parameter for Loosening Blasting with 24-m-High Bench in Barun Open-Pit Mine by Zuoming Yin, Desheng Wang, Xuguang Wang, Zhiheng Dang, Wantao Li

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