Age–Stage, Two-Sex Life Table Analysis of <i>Riptortus pedestris</i> (Hemiptera: Alydidae) Across Different Soybean Varieties by Juan Cui, Jingxu Yin, Xinyue Tian, Yu Gao, Shusen Shi, Wenbo Li

“…<i>Riptortus pedestris</i> (Hemiptera: Alydidae) is an economically important pest of soybeans, significantly affecting their quality and market value. This study aims to evaluate the adaptability of <i>R. pedestris</i> to different soybean varieties and provide a foundation for selecting resistant varieties and developing effective integrated pest management strategies. …”
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Numerical analysis of flow configuration and channel design for thermoelectric OTEC systems by Chun-I Wu, Wei-Lun Tseng, Bo-Xiang Wang

“…Abstract This research examines the optimized integration of Bi₂Te₃-based thermoelectric generators (TEGs) in Ocean Thermal Energy Conversion (OTEC) systems, evaluating their performance via detailed numerical analysis. …”
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Hybrid quantum enhanced federated learning for cyber attack detection by G. Subramanian, M. Chinnadurai

“…Experimentation of the proposed model utilizes benchmark UNSW-NB15 dataset and evaluated the proposed model performances. The proposed model attained better performance in detecting different types of anomalies. …”
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Multi-objective synergistic optimization of closed Brayton cycle superstructure for thermal protection system of high-Mach-number air-breathing vehicles by Chendi Yang, Hang Pu, Lin Mu, Lin Zhou, Junjiang Bao, Yining Zhang, Ming Dong

“…The hydrocarbon fuel consumption and the thermal efficiency were adopted as the evaluation indexes. The distribution patterns of eight cycle configurations and nine working fluids on the Pareto-front were analyzed under different design parameters. …”
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Attention-Driven Hybrid Ensemble Approach With Bayesian Optimization for Accurate Energy Forecasting in Jeju Island&#x2019;s Renewable Energy System by Muhammad Ali Iqbal, Joon-Min Gil, Soo Kyun Kim

“…To address these challenges, we propose a Attention-driven Bayesian-Optimized Hybrid Ensemble Framework (ABHEF), evaluated on Jeju Island&#x2019;s energy mix data. …”
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Optimizing post-thoracotomy pain management: comparing erector spinae vs. paravertebral block in thoracotomy patients: a prospective randomized study by Kerem Baser, Ozal Adiyeke, Ergun Mendes, Funda Gumus Ozcan

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Handwritten W-Net for High-Frequency Guided Single-Image Super-Resolution by Xiang Yang, Chen Fang, Xiaolan Xie, Minggang Dong

“…Recent advances in intelligent image reconstruction algorithms have been accompanied by impressive visual outcomes in SR generative adversarial networks (GANs). However, existing research has methodological limitations owing to the constraints posed by the model architecture and loss guidance used for optimization. …”
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Evaluation of the physical properties of local wheat husk ash and its effects on the compressive strength of hardened cement paste by Masuoda Farhat, Mohammed A. Al Madani, Taha Abdullah, Mohammed Embaya, Abdulla Saeed, Abdulla Saleh, Fares Fenniche, Yasmina Khane

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An Optimized Hybrid Framework Based on Long-Short Term Memory Neural Networks and Fourier SynchroSqueezed Transform for Photovoltaic Power Forecasting by Samer Rajah, Francisco J. Munoz, Alejandro Rodriguez

“…Accurate prediction of photovoltaic power is crucial to optimize its integration into the power grid. However, this task is highly complex due to the inherently stochastic nature of photovoltaic power generation. …”
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Evaluation of NTCP and Second Cancer Induction from Modulated Arc Therapy for High-Risk Prostate Carcinoma by COUPÔLE Software by Assya Boughalia, Mohamed Fellah, Mohamed Zineddine El Ghribi, Kenza Benacer

“…This study aims to evaluate normal tissue complication probability (NTCP) and excess absolute risk (EAR) for different structures (organs at risk, the body). …”
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Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

“…An optimization strategy that cannot explicitly return the process states but can generate some representation of them that then leads to computation of the desired process input would thus be suitable for MPC. …”
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Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition by Bo Jia, Le Kang, Yide Xie, Yue Xu

“…With the optimization objective of minimizing the present value of total cost, the nonlinear constraints of storage power, capacity, SVG construction are constructed by considering the costs of grid construction, power generation, maintenance, and dismantling, as well as the economic factors of energy storage and distributed power generation, and the constraints of grid operation under different load operation modes are incorporated into the model for peak, waist, and valley operation modes. …”
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Life Cycle Assessment of Municipal Solid Waste Management Strategies in Babolsar: Evaluating Environmental Impacts and Energy Consumption by Babak Sheydaei, Gholamreza Nabi, Fatemeh Yazdian

“…The results indicate significant differences in environmental impacts across scenarios. …”
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A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search by Weizhong Wang, Hai-Lin Liu, Hongjian Shi

“…In multi-objective bilevel optimisation problems, the upper-level performance of different lower-level optimal solutions may be very different, even though they belong to the same lower-level problem. …”
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Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm by Xin He, Zhijie Song, Yanqun Yang, Siqi Wu, Shuo Meng, Huanyu E, Hongfei Li, Guoyu Ding

“…Therefore, in this research, the “Eczema mixture” (EM) which includes six kinds of Chinese medicinal materials for the treatment of atopic dermatitis was cited as an example to illustrate the proposed compatibility optimization strategy.MethodsUltra-performance liquid chromatography-quadrupole/time-of-flight (UPLC-Q/TOF) technology was used to analyze the chemical components in the EM formula, and a total of 136 chemical compounds were identified. 76 formulas with different compatibility ratios were generated with the simplex centroid mixture design (SCMD). …”
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Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm by Manish Kumar Singla, Jyoti Gupta, Ramesh Kumar, Pradeep Jangir, Mohamed Louzazni, Nimay Chandra Giri, Ahmed Jamal Abdullah Al-Gburi, E. I.-Sayed M. EI-Kenawy, Amal H. Alharbi

“…Among the different types of fuel cells, solid oxide fuel cells (SOFCs) stand out as a promising clean energy technology that generates electricity through electrochemical reactions. …”
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Meshless Numerical Simulation on Dry Shrinkage Cracking of Concrete Piles for Offshore Wind Power Turbine by Cong Hu, Jianfeng Xue, Taicheng Li, Haiying Mao, Haotian Chang, Wenbing Zhang

“…However, the fundamental mechanism of concrete pile cracking during dry shrinkage—particularly the coupled effects of moisture diffusion, meso-structural heterogeneity, and stress evolution—remains poorly understood, lacking a unified theoretical framework. …”
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A fake news detection model using the integration of multimodal attention mechanism and residual convolutional network by Ying Lu, Naiwei Yao

“…These were selected to comprehensively evaluate the model’s performance across different scenarios. …”
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Combustion characteristics of a 660 MW tangentially fired pulverized coal boiler considering different loads, burner combinations and horizontal deflection angles by Wenbo Gu, Zipeng Zheng, Naixin Zhao, Xiaojian Wang, Zening Cheng

“…This study focuses on a 660 MW tangentially fired boiler, evaluating its combustion and pollutant generation at different operational loads: boiler maximum continuous rate (BMCR), turbine heat acceptance (THA), 75% of THA, and 40% of THA. …”
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Evaluation of Sentinel-2 Deep Resolution 3.0 Data for Winter Crop Identification and Organic Barley Yield Prediction by Milen Chanev, Ilina Kamenova, Petar Dimitrov, Lachezar Filchev

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