Comprehensive Evaluation of Quality Characteristics and Processing Suitability of Different Varieties of Large-fruited Sea Buckthorn Juice from Xinjiang Using Multivariate Analysis... by Rong HAN, Yan MA, Yu AO, Ting ZHANG, Xintao MENG, Mingqiang XU, Yan PAN

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An innovative method for quantifying residual cement paste content of recycled sand based on a salicylic acid-methanol solution: A case study on application by Yuyang Chen, Binggen Zhan, Qijun Yu, Binglin Guo, Peng Gao, Yonggan Yang, Weiping Zhao

“…The development of this method provides a theoretical basis for optimizing the processing parameters of RS, enabling customized treatment based on engineering requirements, thus improving processing efficiency and reducing energy consumption. …”
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Problems of distance education in the pandemic period by Polina Sergeevna Rogacheva, Sergey Vasilievich Semergey

“…The results of the research include the description of the main difficulties and problems of distance learning during the pandemic; a number of tasks that require solutions to optimize the use of information and communication technologies in education, both in a single educational organization and in the education system as a whole; some options for solving the problems of using distance learning. …”
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Simulation Method for Complex Constraints and the Necessity of Joints in an Early-Age, Large-Volume Concrete Slab—A Case Study of Complex Column Grids and Wall Constraints by Wenqian Li, Wei Jiang, Chen Fu, Zhiyi Li, Hao Zhang

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RPA-CRISPR/Cas12a detection based on HCMV-UL123 gene: A way with higher detection rate than clinical detection methods by Tianyang Liu, Yao Wang, Zihao Liao, Xiaowen Li, Shanshan Tang, Zhongming Zhang, Ming Chu, Lanlan Wei

“…Evaluate the HCMV-RPA-CRISPR detection method using cloned plasmids and the whole-genome samples of HCMV-infected cells. …”
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Research on productivity prediction method of infilling well based on improved LSTM neural network: A case study of the middle-deep shale gas in South Sichuan by GUAN Wenjie, PENG Xiaolong, ZHU Suyang, YANG Chen, PENG Zhen, MA Xiaoran

“…Two stage-specific models were constructed, with the number of hidden layer neurons, dropout rate, and batch size determined by the optimal solutions obtained via GWO. The number of iterations was selected based on the loss curve and performance metric curve, while a linear warm-up strategy was used to dynamically adjust the learning rate, facilitating high-speed training and the formation of a staged productivity prediction model. …”
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Biomass to sustainable biofuels: A novel hybrid process integrating CO₂ CPU and high-temperature syngas for methanol/DME synthesis—4E analyses with multi-objective optimization (NS... by Mohammad Mirani, Farhad Shahraki, Mohammad reza Sardashti Birjandi, Mehdi Bayat, Asiyeh Sheikhzadeh-Takabi

“…Furthermore, multi-objective optimization using NSGA-II in MATLAB was employed to improve exergy efficiency while managing cost increases, resulting in improvements of up to 64.49% for DME and 63.04% for MeOH. …”
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ATHEMATICAL MODEL FOR THE OPTIMISATION OF HIERARCHICAL MULTI-LEVEL PRODUCTION SYSTEMS by Yu. V. Minaeva

“…Objectives The aim of the study is to develop a mathematical model for the complex solution of various problems in designing and reconstructing the technological system of a production workshop of a machine-building enterprise.Methods Complex system theory and an aggregative decomposition approach are used as the methodological basis for modelling complex hierarchical productions, making it possible to represent a complex system in the form of a set of interconnected subsystems.Results A mathematical model designed for a complex solution of problems associated with the formation of an optimal production programme and selection ofequipment was developed. …”
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DETERMINATION OF TEMPERATURE-TIME PARAMETERS OF GROWING SINGLE CRYSTALS β-BaB₂O₄ BY MODIFIED CZOCHRALSKI METHOD by S. A. Guretskii, I. M. Kolesova, A. V. Kravtsov, A. A. Linkevish, K. L. Trukhanava, V. B. Malyutin, V. L. Kolpashikov, S. YU. Yanovsky

“…The aim of this work is to find of the mechanism the determination of optimal temperature-time mode of crystallization during the whole process of β-BaB2O4 crystal growth by modified Czochralski method. …”
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Predicting Wear Rate and Friction Coefficient of Li₂Si₂O₅ Dental Ceramic Using Optimized Artificial Neural Networks by Marko Pantić, Saša Jovanović, Aleksandar Djordjevic, Suzana Petrović Savić, Milan Radenković, Živče Šarkoćević

“…Traditional experimental approaches, while accurate, are often resource intensive and time consuming, prompting a need for efficient computational methods. …”
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Multi-Objective Robustness of Integrated Energy System Considering Source-Load Uncertainty by LI Jianlin, ZHANG Zedong, LIANG Ce, ZENG Fei

“…Therefore, a multi-objective two-stage robust optimization method is proposed, taking into account the source-load uncertainty. …”
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Characterization and Evaluation of Department of Veterans Affairs Commission on Accreditation of Rehabilitation Facilities–Accredited Interdisciplinary Pain Rehabilitation Programs... by Jolie N Haun, Christopher A Fowler, Dustin D French, Megan C McHugh, Jacquelyn N Heuer, Lisa M Ballistrea, Rachel C Benzinger, S Angel Klanchar, Friedhelm Sandbrink, Jennifer L Murphy

“…Veterans Affairs (VA) and Department of Defense guidelines are prioritizing low-risk, evidence-based interdisciplinary pain management strategies while optimizing pain-related outcomes (PRO) for veterans. …”
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STUDY OF THE TEMPERATURE CONDITION OF SURFACE WATERS OF NOVOTROITSKY RESERVOIR BASED ON REMOTE SENSING DATA AND EVALUATION OF ITS IMPACT ON FISH GROWTH AND DEVELOPMENT by Evgeniy G. Mishvelov, Ivan A. Bakumenko, Anatoliy F. Shevkhuzhev, Vladimir A. Pogodaev

“…Methods. The temperature values of the earth's surface (water area) were calculated according to the generally accepted methodology. …”
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Novel Quantification Method for Lithium Ion Battery Electrolyte Solvents in Aqueous Recycling Samples Using Solid‐Phase Extraction/Gas Chromatography‐Flame Ionization Detection by Julius Buchmann, Yixin Song, Simon Wiemers‐Meyer, Martin Winter, Sascha Nowak

“…A quantitative extraction of all target analytes is achieved using the polystyrene‐divinylbenzene‐based stationary phase LiChrolut EN. Method optimization and limitations are evaluated by varying mass loading, load and elution volume, enabling preconcentration factors >250 for linear and oligomeric carbonates. …”
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Modeling of the neutron experiments at research reactor WWR-M in the Institute for Nuclear Research, National Academy of Sciences of Ukraine by V. F. Razbudey

“…Ideology of simulation of neutron experiments using Monte Carlo method for optimization of experimental conditions and analysis of measurement results is set out. …”
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Enhancing Automated Maneuvering Decisions in UCAV Air Combat Games Using Homotopy-Based Reinforcement Learning by Yiwen Zhu, Yuan Zheng, Wenya Wei, Zhou Fang

“…While algorithms enhanced with densely distributed artificial rewards show potential, they risk deviating from the primary objectives. …”
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Three-Dimensional Printed Auxetic Insole Orthotics for Flat Foot Patients with Quality Function Development/Theory of Inventive Problem Solving/Analytical Hierarchy Process Methods by Tadeus Pantryan Simarmata, Marcel Martawidjaja, Christian Harito, Cokisela C. L. Tobing

“…The design process incorporates Quality Function Deployment (QFD), Theory of Inventive Problem Solving (TRIZ), and Analytic Hierarchy Process (AHP) methods to create insoles that alleviate concentrated loads while meeting patient requirements. …”
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Optimal exercise temporal parameters of Traditional Chinese Exercises for cognitive function of older adults with mild cognitive impairment: a systematic review and dose–response m... by Qingpan Wen, Qin Luo, Yangjun Liu, Lu Li, Marcin Białas, Dominika Wilczyńska

“…Regarding exercise cycle, MoCA and MMES yield the optimal outcomes at 12 and 13 weeks. For exercise frequency, MoCA and MMES optimize results at three times per week. …”
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Drone-Mounted Intelligent Reflecting Surface-Assisted Multiple-Input Multiple-Output Communications for 5G-and-Beyond Internet of Things Networks: Joint Beamforming, Phase Shift De... by Jiahan Xie, Fanghui Huang, Yixin He, Wenming Xia, Xingchen Zhao, Lijun Zhu, Deshan Yang, Dawei Wang

“…By employing the quadratic transformation technique and the Lagrangian multiplier method, we derive closed-form solutions for the optimal beamforming and phase shift design strategies. …”
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SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption by Chong Wang, Jing Wang, Zheng Lou, Linghai Kong, WeiSong Tao, Yun Wang

“…In this paper, we present a new gradient sparsification method, SparseBatch. By designing a new general gradient correction method and using Lion optimizer’s gradient quantization method, SparseBatch combines gradient sparsification and quantization. …”
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