The Search for the Optimal Methodology for Predicting Fluorinated Cathinone Drugs NMR Chemical Shifts by Natalina Makieieva, Teobald Kupka, Oimahmad Rahmonov

“…Their structural diversity and massive illegal use create the need to develop new analytical methods for their identification in different matrices. …”
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Design and Optimization of an Origami Gripper for Versatile Grasping and Manipulation by Hanwen Cao, Jianshu Zhou, Kai Chen, Qiguang He, Qi Dou, Yun‐Hui Liu

“…The working principles of the origami gripper are characterized and analyzed. An optimization‐based inverse design method is presented to adjust gripper properties for various scenarios. …”
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Multi-strategy collaborative optimization of gravitational search algorithm by Zhonghua Yang, Yuanli Cai, Ge Li, Peng Wang, Yu Chen

“…The performance analysis results show that the multi-strategy collaborative optimization method effectively leverages both the global and local search abilities of the algorithm, improving the accuracy of its solutions and stability. …”
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Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…To tackle this issue, we introduce "Beyond Orion," a novel lossless compression method designed to optimize data compression in IoT systems. …”
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Optimization of mixed-strain fermentation process of apple Jiaosu by ZHANG Haiyan, KANG Sanjiang, GOU Lina, YUAN Jing, ZENG Chaozhen, MU Yuwen, SONG Juan

“…In this experiment, the apple Jiaosu was fermented with Cyberlindnera fabianii, Saccharomyces cerevisiae, Lactiplantibacillus pentosus, and Leuconostoc mesenteroides as fermentation strains. The effects of different strain combination fermentation on soluble solid, pH, total acid, reducing power, superoxide dismutase (SOD) activity and sensory score of apple Jiaosu were studied, and the process for yeast fermentation stage and lactic acid bacteria fermentation stage of apple Jiaosu were optimized by single factor test and response surface method. …”
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Classification-Based Parameter Optimization Approach of the Turning Process by Lei Yang, Yibo Jiang, Yawei Yang, Guowen Zeng, Zongzhi Zhu, Jiaxi Chen

“…Specifically, the classification model is used to separate the whole complex process into different substages to reduce difficulties of the further optimization, and it achieves high accuracy and strong anti-interference in the identification of substages by integrating the advantages of an encoder-decoder framework, attention mechanism, and major voting. …”
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Chaotic Mountain Gazelle Optimizer Improved by Multiple Oppositional-Based Learning Variants for Theoretical Thermal Design Optimization of Heat Exchangers Using Nanofluids by Oguz Emrah Turgut, Mustafa Asker, Hayrullah Bilgeran Yesiloz, Hadi Genceli, Mohammad AL-Rawi

“…This theoretical research study proposes a novel hybrid algorithm that integrates an improved quasi-dynamical oppositional learning mutation scheme into the Mountain Gazelle Optimization method, augmented with chaotic sequences, for the thermal and economical design of a shell-and-tube heat exchanger operating with nanofluids. …”
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Adaptive Optimal Dispatching of Flexible Interconnected Distribution System Based on Dynamic Weight by DENG Zhengdong, ZHU Xiaoli, DUAN Junpeng, LIU Shifang, WANG Yaoqiang

“…Meanwhile， compared with the traditional multi-objective optimization solving method， the proposed dynamic weight coefficient determination method can track the system structure and operational demand and realize the synergistic optimization of the system economy and voltage deviation.…”
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Knowledge injection methods in question answering by D. V. Radyush

“…Further investigations will be carried out to improve and optimize different aspects of the current approaches and develop conceptually novel ideas.…”
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Research on event extraction methods for medical by Yuekun MA, Moxiao CUI

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Simulation Model to Optimize Turnover Schedule for Train Locomotives by P. A. Kozlov, S. P. Vakulenko

“…This work relates to a suggested simulation model to optimize turnover schedule for train locomotives operating in train flow service. …”
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First-line chemotherapy for head and neck squamous cell carcinoma. Optimal strategy by L. V. Bolotina, A. L. Kornietskaya, A. D. Kaprin, Е. Yu. Karpenko

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Optimal Selection Criterion for Runoff Component Models Based on Benefit-Risk Balance by DING Xiao-ling, HU Wei-zhong, TANG Hai-hua, LUO Bin, FENG Kuai-le

“…To address this, this study proposes a selection criterion for runoff component models based on the balance between benefits and risks. [Methods] Based on the diagnosis and quantitative description of evolution characteristics such as mutations, trends, and periodicities using time-series variability detection methods—the Mann-Kendall test, sliding T-test, Pettitt test, Standard Normal Homogeneity test, Buishand test, and periodogram—different forms of linear superposition models were developed by combinations and extraction sequences of the identified components, such as mutation, trend, and periodicity. …”
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Storage Assignment Optimization in Robotic Mobile Fulfillment Systems by Ruiping Yuan, Juntao Li, Wei Wang, Jiangtao Dou, Luke Pan

“…Robotic mobile fulfillment system (RMFS) is a new type of parts-to-picker order picking system, where robots carry inventory pods to stationary pickers. Because of the difference in working mode, traditional storage assignment methods are not suitable for this new kind of picking system. …”
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Optimal Dispatch Strategy of Power and Electricity Balance Based on Multi-Energy Complementation by Zhiyuan SUN, Boya PENG, Yan SUN

“…This paper proposes an optimal scheduling strategy for power and electricity balance considering multi-energy complementation, such that multi-energy dispatch is coordinated under different time scales and hence the overall operating performance of the system can be improved. …”
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Leveraging Attribute Interaction and Self-Training for Graph Alignment via Optimal Transport by Songyang Chen, Youfang Lin, Ziyuan Zeng, Mengyang Xue

“…The recently proposed optimal transport (OT)-based approaches tackle this problem via Gromov–Wasserstein distance and joint learning of graph structures and node attributes, which achieve better accuracy and stability compared to previous embedding-based methods. …”
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Optimal Control of CO2 Parallel Compression System Based on Machine Learning by Zhang Teng, Wei Xiangyu, Song Yulong, Cao Feng

“…A dynamic simulation model of a transcritical CO2 parallel compression system was established using GT-SUITE simulation software to explore an efficient control method for the transcritical CO2 parallel compression system. …”
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Determining the optimal pancreatic decellularization protocol, taking into account tissue morphological features by A. S. Ponomareva, N. V. Baranova, L. A. Kirsanova, G. N. Bubentsova, E. A. Nemets, I. A. Miloserdov, V. I. Sevastianov

“…It was shown that a physico-chemical method with freeze-thaw cycles is suitable for effective pancreatic decellularization in severe lipomatosis; a physico-chemical method using osmotic shock, but different protocol variants, is suitable for pancreas with diffuse fibrosis and for pancreas without pronounced signs of fibrosis and lipomatosis.Conclusion. …”
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The relationship between mindfulness and optimism-pessimism levels in athletes by Yuni Astuti, Bekir Erhan Orhan, Aydın Karaçam, erianti erianti, Karuppasamy Govindasamy

“…Results indicate no gender differences in overall Optimism, Pessimism, and Mindfulness. …”
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Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs by Frank Wessely, Martin Bartl, Reinhard Guthke, Pu Li, Stefan Schuster, Christoph Kaleta

“…Using a combination of computational tools including the concept of elementary flux patterns, methods from network inference and dynamic optimization, we find that transcriptional regulation of pathways reflects the protein investment into these pathways. …”
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