The optimal timing of breast cancer surgery after COVID-19 infection: an observational study by Zhao Bi, Wei-Hao Cheng, Wen-Hao Zheng, Tong-Yue Ren, Peng Chen, Yan-Bing Liu, Peng-Fei Qiu, Wei-Li Wang, Yong-Sheng Wang

“…Abstract Purpose It is controversial for the optimal time of breast cancer surgery after COVID-19 infection. …”
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Advancing Monoclonal Antibody Manufacturing: Process Optimization, Cost Reduction Strategies, and Emerging Technologies by Ranbhor R

“…Integration of machine learning and advanced analytics has significantly enhanced process control and optimization capabilities.Conclusion: The evolution of mAb manufacturing technologies offers promising pathways for improving production efficiency and reducing costs. …”
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Enhancing Port Energy Autonomy Through Hybrid Renewables and Optimized Energy Storage Management by Dimitrios Cholidis, Nikolaos Sifakis, Nikolaos Savvakis, George Tsinarakis, Avraam Kartalidis, George Arampatzis

“…The unique proposed EMS takes it a step further, optimizing not just the energy flow but also the cost, making the overall system more efficient—and less costly—for the user. …”
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Optimizing transcutaneous spinal stimulation: excitability of evoked spinal reflexes is dependent on electrode montage by Kelly Lynn Thatcher, Karen Emily Nielsen, Evan Blake Sandler, Oliver John Daliet, Jennifer Ann Iddings, Edelle Carmen Field-Fote

“…Abstract Background There is growing interest in use of transcutaneous spinal stimulation (TSS) for people with neurologic conditions both to augment volitional control (by facilitating motoneuron excitability), and to decrease spasticity (by activating inhibitory networks). …”
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Synchronization Optimization Model Based on Enhanced Connectivity of New Energy Vehicle Supply Chain Network by Haiwei Gao, Xiaomin Zhu, Binghui Guo, Yifan Cao, Haotian Wang, Xiaohan Yu, Xiaobo Yang

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A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning by Bei Liu, Yuefeng Cai, Duantengchuan Li, Ke Lin, Guanghui Xu

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Risk-Averse Suppliers’ Optimal Pricing Strategies in a Two-Stage Supply Chain by Rui Shen, Zhiqing Meng, Xinsheng Xu, Min Jiang

“…We introduce for the suppliers a loss function, which covers both current loss and future loss. The optimal wholesale price is solved under situations of risk neutral, risk averse, and a combination of minimizing loss and controlling risk, respectively. …”
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An electricity price optimization model considering time-of-use and active distribution network efficiency improvements by Yan Li, Yaheng Su, Qixin Zhao, Bala Wuda, Kaibo Qu, Lei Tang

“…The model exhibited high resilience and fine-grained control capabilities in the complex electricity market; (3) finally, based on the optimized electricity price strategy derived from training, the model reduced electricity costs and price volatility. …”
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Cooperative Control of Power Grid Frequency Based on Expert-Guided Deep Deterministic Policy Gradient Algorithm by Tao Shen, Jing Zhang, Yu He, Shengsun Yang, Demu Zhang, Zhaorui Yang

“…With the increasing share of renewable energy, frequency fluctuations have become more complex and unpredictable. To address this challenge, the paper proposes a cooperative control method for power grid frequency based on the Expert-Guided Deep Deterministic Policy Gradient (EGDDPG) algorithm. …”
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Strategies for Construction and Optimization of the Ecological Security Pattern for Human Settlements in the Wuding River Basin by Xiaomeng WANG, Anrong DANG, Biao TONG, Xinyi LIU

“…The goal is to balance urban development with ecological protection, thereby optimizing the security and resilience of human settlement ecosystems.MethodsThis research follows a structured approach based on the formulation of strategy for construction and optimization of ecological security pattern. …”
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System for PCB Defect Detection Using Visual Computing and Deep Learning for Production Optimization by Gabriel Gomes de Oliveira, Gabriel Caumo Vaz, Marcos Antonio Andrade, Yuzo Iano, Leandro Ronchini Ximenes, Rangel Arthur

“…Other studies in this field perform measurements in controlled laboratory environments and identify fewer critical components. …”
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Service Restoration in Distribution Networks by Optimal Scheduling of Repair Crew and Mobile Power Sources by Qasem Asadi, Hamid Falaghi, Ali Ashoornezhad, Maryam Ramezani

“…This study also includes finding the optimal Switching Sequences (SSs) and the estimated energy not supplied  (EENS) as an objective function. …”
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Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques by Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh

“…The model leverages RoBERTa’s robust contextual embeddings to extract deep semantic representations while utilizing CHSCSO’s controlled chaotic perturbations to optimize hyperparameters dynamically. …”
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A distributionally robust machine learning model of simultaneous classification and feature selection under data uncertainty: Theory, methods, and application to the identification... by Q.Y. Huang, N.D. Dizon, N. Jeyakumar, V. Jeyakumar

“…Our computational results on benchmark datasets demonstrate that these robust SVMs identify relevant features whilst achieving higher classification accuracies than the conventional (non-robust) SVM models, especially for datasets with more features than instances. Applying our method to a novel dataset of handwriting samples from individuals with Alzheimer's disease and a control group, the model was able to distinguish between both groups with greater than 80% accuracy and using only 37% (168/450) of all available features, outperforming previous SVM models and providing insights into the unique characteristics of the disease.…”
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

“…However, the stability of the results is a valuable. Therefore, the optimization algorithm that minimizes the loss function and the regularization method that controls the complexity of the model are proposed. …”
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Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization by Maede Arefizadeh, Danial Behvandi, Shahrokh Shahhosseini, Ahad Ghaemi

“…Response Surface Methodology (RSM) was also utilized to find the optimal values of the extraction parameters. The optimal conditions for UAE were determined to be 42.7 min extraction time, 0.283 mm particle size, and 2.48 W/mL power intensity, achieving the oil yield of 94.56 %. …”
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Systemic antibiotic prophylaxis in arthroplasty – a narrative review of how many doses are optimal by Peter Wahl, Philip Drennan, Michel Schläppi, Yvonne Achermann, Michael Leunig, Emanuel Gautier, Emanuel Benninger

“…The evidence available suffers from limitations, specifically deficiencies in outcome assessments in the available randomised controlled trials. Observational studies suggest that a short postoperative prolongation (<24 h) of SAP in arthroplasty may result in superior long-term outcomes compared to a single dose, and that an optimal dosing strategy, which warrants further prospective evaluation, may involve ‘stacked dosing’ in the early postoperative period, with re-administration every two half-lives when using commonly recommended beta-lactam antibiotics, instead of repetition at usual dosing intervals over 24 h. …”
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Study on the Dynamic Characteristics of the Gear Lubrication Flow Field with Baffles and Optimization Design Strategies by Yihong Gu, Lin Li, Gaoan Zheng

“…However, it is noted that a larger baffle diameter is not always better; when it exceeds a certain limit, the performance improvement effect gradually diminishes, indicating the existence of an optimal baffle diameter value. By optimizing the design of the baffle, the flow characteristics and energy dissipation of the fluid within the gearbox can be controlled, improving thermal management and lubrication performance. …”
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Dynamics evolution and well type optimization of deep well injection in coal mines water by Longfei FENG, Shuangming WANG, Hao WANG

“…For a 5° branch inclination: Two-branch wells are optimal for flow rates between 77−149 m3/h; Three-branch wells are preferred for flow rates between 149−201 m3/h. …”
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Comprehensive Review on the Control of Heat Pumps for Energy Flexibility in Distribution Networks by Gustavo L. Aschidamini, Mina Pavlovic, Bradley A. Reinholz, Malcolm S. Metcalfe, Taco Niet, Mariana Resener

“…Scheduling-based methods fall into two categories: rule-based controllers (RBCs), which rely on predefined control rules without explicitly seeking optimal solutions, and optimization models, which are designed to determine the optimal scheduling of operations. …”
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