An increase in flow-diverter oversizing values as an independent risk factor for developing more severe in-stent stenosis. A retrospective single-center study based on flow diversi... by Georgi Vladev, Georgi Vladev, Alexander Sirakov, Alexander Sirakov, Svetozar Matanov, Kristina Sirakova, Kristian Ninov, Stanimir Sirakov, Stanimir Sirakov

“…To achieve optimal results, the choice of implant diameter should consider all segments of the vessel in which it will be implanted. …”
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Acute Postexercise Change in Circulating Irisin Is Related to More Favorable Lipid Profile in Pregnant Women Attending a Structured Exercise Program and to Less Favorable Lipid Pro... by Anna Szumilewicz, Aneta Worska, Magdalena Piernicka, Agnieszka Kuchta, Zbigniew Jastrzębski, Łukasz Radzimiński, Marta Kozłowska, Katarzyna Micielska, Ewa Ziemann

“…Only in the training group we observed the postexercise increase in irisin, which was related to more favorable lipid profile. Systematic prenatal physical activity may optimize the postexercise irisin response and lipid metabolism regulated by this hormone. …”
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Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading by Jinghui Wu, Wenjun Zhu, Yun Xu, Kangan Shu, Wei Yang

“…This approach offers potential applications across various financial sectors and domains requiring sophisticated real-time decision-making and optimization. Future research is suggested to further explore the scalability and practical implementation of this integrated methodology in more complex and larger-scale optimization problems.…”
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Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Hewu Kuang

“…With the continuous development of urbanization, the urban population is becoming more and more dense, and the demand for land is becoming more and more tense. …”
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Resilience-Based Restoration Sequence Optimization for Metro Networks: A Case Study in China by Jiefei Zhang, Gang Ren, Jianhua Song

“…Metro station restoration sequence optimization is crucial during post-disaster recovery. …”
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Optimization of a Newly Developed Chamber Setup for Spatial Dust Measurements in the Context of Containment by Hendrik Küllmar, Martin Schöler, Claudia S. Leopold

“…Based on the model for atomization effectiveness, the totally detected acetaminophen amount may be increased by more than double at a constant sample mass. <b>Conclusions:</b> In summary, the measurement procedure of the chamber setup was optimized in terms of the cleaning method, surrogate choice, and the adjustment of the atomization parameters, giving valuable insights to deepen our understanding of dustiness and the spatial distribution of dust in the context of containment.…”
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Optimization of serious bacterial infections intensive therapy in children in Anesthesiology and Intensive Care Department by M. Yu. Kurochkin, A. H. Davydova, Yu. V. Horodkova

“…We recommend discrete plasmapheresis conducting in hard bacterial toxemia cases if the level of fraction I medium molecular peptides is more than 0,5 and fraction II more than 0,3 absorbance units, or if their ratio coefficient is less than 1,5. …”
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Optimization of E-Commerce Sales System using User-Centered Design at Pepito Kudus by Aminun Fais Saidun Basyar, Muhammad Arifin, Diana Laily Fithri

“…The User-Centered Design (UCD) method is applied in system development, ensuring that the design prioritizes user needs and undergoes comprehensive testing to optimize usability and user experience. The implementation of this system is expected to streamline the sales process, enable more efficient transactions, accelerate data processing, enhance sales accuracy, and provide customers with a more convenient ordering experience.…”
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Optimizing earning quality in bank finance: a theoretical model and empirical investigation in India by Ketan Mulchandani, Santanu K. Ganguli, Kalyani Mulchandani

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The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm by Liyi Zhang, Ying Wang, Teng Fei, Hongwei Ren

“…Use DNA-ant colony algorithm to optimize and simulate the model. The simulation indicates that DNA-ant colony algorithm could find a more reasonable solution for low carbon logistics path optimization problems.…”
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Implications of Advertising Lag on the Dynamic Optimal Decisions in an O2O Supply Chain by Xiuxian Li, Ling Li, Xinyu Wang, Shuhua Zhang

“…From a comparison analysis, we obtain that the manufacturer concentrates more effort on quality improvement if the advertising lag time is larger or if consumers are more sensitive to quality, and the manufacturer pays more attention to advertising relative to quality improvements with a higher advertising cost sharing ratio.…”
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SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration by Han Wei

“…Abstract Against the backdrop of dynamic transformations in the financial sector and prominent corporate diversification trends, credit risk prediction becomes significantly more challenging. On one hand, this study focuses on optimizing the Synthetic Minority Over-Sampling Technique (SMOTE) algorithm for corporate credit risk prediction, thereby enhancing financial institutions’ risk management capabilities. …”
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The optimal spatially-dependent control measures to effectively and economically eliminate emerging infectious diseases. by Fan Xia, Yanni Xiao, Junling Ma

“…Indeed, the optimal control strategy we identified suggests that more costly control measures should be implemented as soon as they are deemed necessary. …”
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Retracted: VR Panorama Mosaic Algorithm Based on Particle Swarm Optimization and Mutual Information by Zhonggao Yang, Dan Xiang, Yili Cheng

“…With the development of science and technology, Virtual Reality (VR) technology is more and more mature, and has been widely used in real life. …”
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Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields by Shih-Cheng Li, Pei-Hua Wang, Jheng-Wei Su, Wei-Yin Chiang, Tzu-Lan Yeh, Alex Zhavoronkov, Shih-Hsien Huang, Yen-Chu Lin, Chia-Ho Ou, Chih-Yu Chen

“…In this work, we demonstrate the use of Digital Annealer Unit (DAU) can tackle these large-scale optimization problems more efficiently. Two types of models are developed and tested on high-throughput experimentation (HTE) and Reaxys datasets. …”
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Research on Investment Estimation of Prefabricated Buildings Based on Genetic Algorithm Optimization Neural Network by Jin Gao, Wanhua Zhao

“…The results of the study show that the accuracy of the improved BP neural network prediction model is better than that of the standard BP neural network prediction model, and the results are more stable, which provides a more scientific and effective method for the investment estimation of prefabricated buildings projects.…”
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Research on the Efficiency and Optimization Strategy of Teachers’ Digital Management Platform in Education Resource Management by Chen Angelina Sue

“…This optimization also helps unleash educational resources’ potential and create richer and more personalized learning experiences for learners. …”
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Grey Wolf Optimizer-Based ANNs to Predict the Compressive Strength of Self-Compacting Concrete by Amir Andalib, Babak Aminnejad, Alireza Lork

“…The optimized model proved to be more accurate than genetic algorithms and multiple linear regression models. …”
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Optimization of Business English Teaching Based on the Integration of Interactive Virtual Reality Genetic Algorithm by Xiao Ma

“…With the continuous advancement of the global economy and the deepening of internationalization and openness, it is also necessary to keep pace with the times in the optimization of business English teaching. At this point, a genetic algorithm based on the interactive virtual reality (VR) should be established for the optimization of business English teaching to adapt to the future trend in business English teaching optimization more appropriately. …”
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Power short-term load forecasting based on big data and optimization neural network by Xin JIN, Long-wei LI, Jia-nan JI, Zhi-qi LI, Yu HU, Yong-bin ZHAO

“…With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited to the analysis of the massive power data.Therefore,a short-term power load forecasting based on large data and particle swarm optimization BP neural network was proposed,and short-term power load fore-casting model was established.The actual load data of the national grid,using the method of prediction,compared with the actual load data and centralized load forecasting results prove that this method is accurate enough,reduce the load forecasting time with feasibility in practical application.…”
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