Investigating the Response of Rainfed Chickpea (Cicer arietinum L.) to Different Nitrogen Fertilizer Levels in Cold Regions by Yaser Azimzadeh, Arash Mohammadzadeh, Hamid Hasanian Khoshroo, Gholamreza Ghahramanian

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Systems Theory and Evidence-Based Decision-Making as Keys for Arbitrating between Optimal Production and Efficient Maintenance: A Case Study by Anouar Hallioui, Brahim Herrou, Ricardo Santos, Polinpapilinho Katina, Hassan Khadiri, Ona Egbue

“…The aim of this study was to maximize the productivity of a manufacturing factory by applying mathematical programming methods while simultaneously considering the requirements of efficient maintenance. …”
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Content analysis and optimization suggestions for China's big data on healthcare policy from the perspective of policy tools by Quansheng Wang, Guoqing Han, Lansong Huang

“…Methods In this study, NVivo 12 was used for qualitative and quantitative analyses of the combination of the software policy. …”
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Improved Quintic Polynomial Autonomous Vehicle Lane-Change Trajectory Planning Based on Hybrid Algorithm Optimization by Yuelou Zhang, Lingshan Chen, Ning Li

“…The method can be used in different scenarios to plan safe and comfortable trajectories.…”
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Multi-Objective Optimization of Buildings’ Exterior Wall Insulation Based on Comprehensive Analysis Models and Assessment Indexes by Haitao Wang, Zhu He, Chengzhou Guo

“…The research results showed that the EFLHEC provided an accurate and simple energy consumption prediction method for buildings’ exterior walls. The optimal design scheme was determined by comparing the values of balanced indexes for different design schemes of external wall insulation. …”
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A Comparative Study on Acoustic Optimization and Analysis of CLD/Plate in a Cavity Using ESO and GA by Dongdong Zhang, Shuwen Wang, Ling Zheng

“…The evolutionary structural optimization (ESO) method and genetic algorithm (GA) are employed to search optimal CLD configurations. …”
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Optimal number of lymph nodes for long-term survival in lymph node-negative rectal cancer: a population-based study by Lei Liu, Chen Qin, Xiaomin Xia, Yihui Cheng, Longbo Zheng, Yiheng Ju, Jilin Hu, Xuewei Li

“…Abstract Purpose This study aimed to investigate the examined lymph node (ELN) count following lymph node-negative rectal cancer (RC) resection and to evaluate its influence on tumor stage migration and long-term survival among N0 patients. Methods A total of 5197 patients with N0/N1a RC were identified from the SEER database, comprising 1103 stage N0 patients and 208 stage N1a patients. …”
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Comparing the Quality of Prenatal Care During the Sixth Wave of COVID-19 with a Corresponding Period Thereafter: Proposing Optimal Solutions by Soghra Khani, Zohre Shahhoseni, Malihe Nourollahpour Shiadeh, Roya Nikbakht, Arezoo Kalteh

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Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current by Ibrahim Cagri Barutcu

“…The effectiveness of this method is investigated based on comparative results of two different optimization methods through probabilistic analysis and simulation.…”
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Coupling circuit design for Single-Wire Earth Return PLC applications through cascaded s-parameters optimization by Kristi Beqirllari, Cagil Ozansoy, Douglas Gomes

“…The proposed method has been applied to different cost functions and different levels of target mean error. …”
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Random Forest Regression May Become the Optimal Regression Model for Osteoarthritis of the Knee in Elderly, in the Context of Embodied Cognition and Psychosomatic Medicine by Ma G, Chen J, Li J, Shi H, Chen Y

“…While regression analysis is widely used in longitudinal medical studies, the optimal model for forecasting complex psychosomatic changes remains unclear.Objective: This study compared the predictive performance of five regression models in estimating post-treatment depression (D2) among elderly KOA patients, considering variables such as gender, age, pain, anxiety, sleep quality, and baseline depression.Methods: A total of 106 elderly KOA patients from the Affiliated Hospital of Southwest Medical University were assessed before and after treatment (September 2023 to February 2024). …”
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Predicting recurrence of non-muscle invasive bladder urothelial carcinoma: predictive value of the optimal cut-off value of Ki67 by Rende Peng, Yaoyu Zhang, Mingzhu Jia, Xinping Yi, Xiaoyao Yi, Shadan Li, Jiangchuan Pi, Wenjun Meng

“…ObjectiveTo investigate the optimal cut-off value of immunohistochemical marker Ki67 as a prognostic factor to predict the recurrence of non-muscle invasive bladder urothelial carcinoma (NMIBUC).MethodsA total of 331 patients diagnosed with NMIBUC who underwent surgery in the Yongchuan Hospital and the Second Affiliated Hospital of Chongqing Medical University from January 2012 to January 2020 were finally included in this study. …”
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An improved meta-heuristic algorithm to optimize the fractional-order controller for an industrial manipulator with a parallelogram structure by Nazila Nikdel

“…In addition, inspired by the Grey Wolf algorithm, an improved optimization method is proposed that can increase the efficiency of the controlled system. …”
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Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…The results of this study show that the acoustic performance of quasi-Helmholtz acoustic metamaterials can be predicted and optimized using machine learning methods. The study in this paper combines the method of machine learning with acoustic problems to provide a fast method for predicting the absorption performance of acoustic metamaterials.…”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…Critical relevance statement This work may guide future radiomic research, paving the way for the development of more effective and reliable radiomic models; not only for advancing prostate cancer diagnostic strategies, but also for informing broader applications of radiomics in different medical contexts. Key Points Radiomics is a growing field that can still be optimized. …”
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Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…Finally, response surface methodology (RSM) and Kriging methods are employed for the parameter optimization design of the reactor, yielding the optimal structural parameters under different optimization strategies. …”
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Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…The average response times in three different testing methods were 139.8 ms, 151 ms, and 140.6 ms, respectively. …”
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Improved Slime-Mould-Algorithm with Fitness Distance Balance-based Guiding Mechanism for Global Optimization Problems by Enes Cengiz, Mehmet Fatih Işık, Hamdi Kahraman, Cemal Yılmaz, Çağrı Suiçmez

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Model Decomposition-Based Approach to Optimizing the Efficiency of Wireless Power Transfer Inside a Metal Enclosure by Romans Kusnins, Sergejs Tjukovs, Janis Eidaks, Kristaps Gailis, Dmitrijs Pikulins

“…This paper describes a numerically efficient method for optimizing the high power transfer efficiency (PTE) of a resonant cavity-based Wireless Power Transfer (WPT) system for the wireless charging of smart clothing. …”
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Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model by Bin Yuan, Hui Li, Xuewei Xiang, Hao Zhou

“…Combined with the physical analytical model of mechanical power and friction, a data-model driven precise model is established, enabling quantitative evaluation of the cycle energy consumption with different PMSM design schemes; then, taking cycle operating energy consumption and peak torque as optimization objectives, the optimal Latin hypercube sampling method is employed to generate finite element optimization data samples. …”
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