Testing Program Critical Control Points (TP-CCP): Characterizing and Optimizing Decision-making Power in Food Safety Testing by Joelle Mosso, Gustavo A. Reyes, Barbara Kowalcyk, De Ann Davis

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Controlling impurity effects in phosphogypsum calcination: a combined regression and DFT study for optimizing β-hemihydrate gypsum production by Manman Lu, Wei Ma, Ze Guo, Yunpeng Shi, Mingxia Liu, Hanquan Zhang

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AI‐Based Ensemble Flood Forecasts and Its Implementation in Multi‐Objective Robust Optimization Operation for Reservoir Flood Control by Yuxue Guo, Yue‐Ping Xu, Xinting Yu, Li Liu, Haiting Gu

“…A multi‐objective robust optimization model (MRO) integrating the risk, resilience, and vulnerability was then proposed to tackle flood control problems under ensemble forecasts; for comparison, a two‐objective stochastic optimization model (TSO) was developed to minimize the expected highest reservoir level and peak release. …”
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Optimizing Automatic Voltage Control Collaborative Responses in Chain-Structured Cascade Hydroelectric Power Plants Using Sensitivity Analysis by Li Zhang, Jie Yang, Jun Wang, Lening Wang, Haiming Niu, Xiaobing Liu, Simon X. Yang, Kun Yang

“…To address these issues, this study proposes an optimized multi-station coordinated response control strategy based on sensitivity analysis and hierarchical AVC. …”
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Estimating the Optimal Control Areas of Two Classical Biocontrol Agents Against the Fall Armyworm Based on Hotspot Matching Analysis by Haoxiang Zhao, Shanqing Yi, Yu Zhang, Nianwan Yang, Jianyang Guo, Hongmei Li, Xiaoqing Xian, Wanxue Liu

“…This study is first time to integrate species distribution models and hotspot analysis to estimate the optimal areas for controlling FAW with these two parasitoids worldwide. …”
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Optimizing aquatic weed management in Lake Ossa, Cameroon: Harnessing the power of biological control and real-time satellite monitoring by Logan Herbert, Annick Zanga, David Kinsler, Victoria Ayala, Aristide Takoukam Kamla, Rodrigo Diaz

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Genomic analysis, culturing optimization, and characterization of Escherichia bacteriophage OSYSP, previously studied as effective pathogen control on fresh produce by Mustafa Yesil, En Huang, En Huang, Xu Yang, Xu Yang, Ahmed E. Yousef, Ahmed E. Yousef

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Dynamic Analysis and Optimal Control of the Spread of Tungro Virus Disease in Rice Plants Considering Refugia Planting and Pesticide Application by Rika Amelia, Nursanti Anggriani, Asep K. Supriatna, Noor Istifadah

“…From this model, dynamic and sensitivity analyses were carried out, and the optimal control theory was searched using the Pontryagin minimum principle. …”
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Optimization of Inspired Oxygen during Mechanical Ventilation (OPTI-OXYGEN): rationale and design of a pragmatic randomised controlled trial by Taylor B Thompson, Todd W Rice, Guy N Brock, Jonathan Peters, Elliott D Crouser, Matthew Exline, Sonal R Pannu, Jamie Zimmer, Jeffrey C Horowitz

“…We aim to develop a novel approach to targeted oxygenation that collectively uses the accuracy of SaO2 and the feasibility of SpO2 to mitigate occult hypoxaemia and prevent hyperoxaemia.Methods and analysis The Optimization of Inspired Oxygen during Mechanical Ventilation trial is a pragmatic stepped wedge, open label, cluster-randomised controlled trial of an algorithm-based SpO2-SaO2 electronic alert-based oxygen titration protocol. …”
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A Model Predictive Control to Improve Grid Resilience by Joseph Young, David G. Wilson, Wayne Weaver, Rush D. Robinett

“…The following article details a model predictive control (MPC) to improve grid resilience when faced with variable generation resources. …”
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Development and Optimization of a Novel Damper Control Strategy Integrating DCV and Duct Static Pressure Setpoint Reset for Energy-Efficient VAV Systems by Pasidu Dharmasena, Nabil Nassif

“…Climate change and the need to reduce greenhouse gas emissions have made energy efficiency in modern building operations more critical than ever. This study presents an improved damper control strategy for VAV systems, combined with techniques like DCV and duct static pressure adjustments, to optimize fan energy consumption. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…We demonstrate the efficacy of this proposed approach in cybersecure digital manufacturing via a real-life Computer Numerical Control (CNC) machining process. The computational results demonstrate that the proposed solution approach can solve the problem for a large-scale complex network, compromising more than 1000 connections between components, within 13 minutes. …”
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Gradual Optimization of Molecular Aggregation and Stacking Enables Over 19% Efficiency in Binary Organic Solar Cells by Jianqiang Qin, Linze Wu, Sihao Huang, Zeping Ou, Xiaowu Wang, Yingguo Yang, Yujie Zheng, Kuan Sun, Zeyu Zhang, Zhiping Hu, Zhengzheng Liu, Yuxin Leng, Juan Du

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Model of Gait Control in Parkinson’s Disease and Prediction of Robotic Assistance by Clemence Vandamme, Virginie Otlet, Renaud Ronsse, Frederic Crevecoeur

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A concept for H2-Diesel engines: CFD-driven dual spray optimization with energy/exergy analysis for enhanced performance and sustainable combustion by Kourosh Ghadamkheir, Mohammad Moghiman, Mohammad Hatami

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Research on Operation Curve Planning Technology Adaptive to Undulating Tracks for Heavy-Haul Trains by JIANG Jie, ZHANG Zhengfang, LUO Yuan, ZHOU Huangbiao, XIONG Jiayuan

“…In order to explore an optimal control strategy for heavy-haul trains running on undulating tracks, this paper proposes a curve planning algorithm based on the ant colony algorithm for sectional operation. …”
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Mathematical assessment of the optimal intervention strategy for Cercospora fungal disease in orange plants by Omowumi Fatimah Lawal, Anthony Kodzo Hunkpe, Afeez Abidemi, Pius Olanrewaju Ogunjobi

“…The model was later extended to an optimal control model by considering the two interventions as time-dependent control functions ν(t) and α(t), respectively. …”
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Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots by Haokai Lv, Qian Qian, Jiawen Pan, Miao Song, Yong Feng, Yingna Li

“…To address these limitations, this study proposes the Multi-Strategy Controlled Rime Algorithm (MSRIME), whose innovation primarily manifests in three aspects: first, it constructs a multi-strategy collaborative optimization framework, utilizing an infinite folding Fuch chaotic map for intelligent population initialization to significantly enhance the diversity of solutions; second, it designs a cooperative mechanism between a controlled elite strategy and an adaptive search strategy that, through a dynamic control factor, autonomously adjusts the strategy activation probability and adaptation rate, expanding the search space while ensuring algorithmic convergence efficiency; and finally, it introduces a cosine annealing strategy to improve the step size adjustment mechanism, reducing parameter sensitivity and effectively preventing path distortions caused by abrupt step size changes. …”
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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach by Noorulden Basil, Hamzah M. Marhoon, Bayan Mahdi Sabbar, Abdullah Fadhil Mohammed, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohamad Sharaf, Amare Merfo Amsal, Mahrous Ahmed, Enas Ali, Sherif S. M. Ghoneim

“…The findings have significant industrial implications, particularly in sectors where UAVs are critical for precision tasks, such as logistics, agriculture, surveillance, and environmental monitoring. By optimizing the FOPID controller parameters, the HESPSOALO algorithm enhances UAV stability, responsiveness, and reliability in dynamic environments, resulting in more precise control and robust performance under varying conditions. …”
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Carrying out entrance control of “Informatics” students’ knowledge with use of specialized computer system by L. V. Larina

“…Computer systems of testing have become convenient tools for the teacher, providing quite a high quality of examination by reducing time expenditure on examination of students, in comparison with traditional control methods, and providing him with analytical information that allows him to organize learning process more rationally. …”
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