Optimization research on inductor structural parameters for post-weld electromagnetic induction heating pulsation aging treatment of large aluminum components by Fei Xue, Diqiu He, Haibo Zhou, Hua Zhou, Youqing Sun

“…The EIHPA technique and the optimization framework in this study can be potentially extended to improve welding strengths of different materials (e.g. iron, aluminum) arising from various welding techniques (e.g. friction stir welding, laser welding).…”
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Predicting cadmium enrichment in crops/vegetables and identifying the effects of soil factors based on transfer learning methods by Rui Chen, Zean Liu, Jingyan Yang, Tiantian Ma, Aihong Guo, Rongguang Shi

“…A total of 353 pairs of soil and crop/vegetable samples were collected across three regions using a unified measurement method. These samples were utilized to build predictive models to study the relationship between soil factors and cadmium (Cd) absorption in six different crops/vegetables, followed by a unified comparison. …”
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Analysis of Combined Strength Training with Small-Sided Games in Football Education Using Machine Learning Methods by Huseyin Guneralp, Hasan Ulas Yavuz, Boran Sekeroglu, Musa Oytun, Cevdet Tinazci

“…Different training methods can improve certain performance; however, the effect of combined training methodologies has not been sufficiently investigated. …”
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“…Statistical analysis used one-way ANOVA with Tukey Honestly Significant Difference (HSD) post hoc testing and intraclass correlation coefficients (ICC) for interrater reliability (2-way random model). …”
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Understanding Greenhouse Tomato (<i>Solanum lycopersicum</i> L.) Growers’ Perceptions for Optimal <i>Phthorimaea absoluta</i> (Meyrick) Management—A Survey in Greece by Konstantinos Β. Simoglou, Marianna Stavrakaki, Konstantina Alipranti, Kyriaki Mylona, Emmanouil Roditakis

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Multiple Myeloma Experiences and Preferences: A Mixed Methods Study of Patients and Care Partners in the United States by Flora DR, Byrd R, Platt DA, Hlavacek P, Hoag Goldman E, Cappelleri JC, Kennedy CT, LeBlanc TW

“…To understand how disease status and an evolving treatment landscape impact decisions made by patients and care partners, a non-interventional mixed methods study was conducted.Patients and Methods: Patients self-reporting MM and care partners were recruited through the Gryt Health Cancer Community, social media, and snowball sampling to participate in this US-based study centered around a semi-structured interview. …”
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Pathway to care among adolescents and young adults with breast cancer in Nigeria: a mixed methods study by Atara Ntekim, Ayorinde Folasire, Oluwaponmile A. Odukoya, Anthonia Sowunmi, Adewunmi Alabi

“…The aim of this study was to determine the extent of delays in accessing care and possible reasons for such delays among young adult females with breast cancer in Nigeria. Methods A mixed-method convergent parallel study design was used. …”
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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

“…Subsequently, it systematically reviews current methods for reliability assessment and lifetime prediction in the thermal aging process of electrical machine insulation, with a focus on the application of different modeling approaches such as physics-of-failure (PoF) models, data-driven models, and stochastic process models in insulation lifetime modeling. …”
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Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

“…The sensor layout is optimized to accommodate various driving postures, ensuring accurate data collection. …”
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Economic Load Dispatch of A Multi‐Area Power System Using Multi‐Agent Distributed Optimization Based on Genetic Algorithm by Seyed Yaser Fakhrmousavi, Seyed Babak Mazafari, Shahram Javadi, Mahmood Hosseini Aliabadi

“…While numerous studies have been conducted on various optimization methods for distributed multi‐agent systems, this paper proposes a model for solving the optimal economic dispatch equations in different areas of the power system in a distributed and coordinated manner. …”
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Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery by Sahameh Shafiee, Osval A. Montesinos‐López, José Crossa, Ingunn Burud, Jon Arne Dieseth, Muath Alsheikh, Morten Lillemo

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Optimized design and performance evaluation of a highly precise variable rate mis-planting and replanting potato electronic-metering mechanism by Abdallah Elshawadfy Elwakeel, Ahmed Elbeltagi, Ali Salem, Ali Salem, Ahmed Z. Dewidar, Ahmed Z. Dewidar

“…The EMM was built to operate at different planting distances and travel speeds, with its design focusing on finding the best mechanical setup before testing it in the field at four different planting distances (24.12, 31.06, 34.87, and 41.24 cm) and five speeds (2.13-6.11 km/h).ResultsThe obtained results demonstrated optimal stability at lower speeds (2.13-3.07 km/h), where sensor accuracy remained consistent, achieving peak performance (QI=98.7%, RI=100%, minimal MPI) at 41.24 cm spacing and 2.13 km/h. …”
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Optimized cutaneous delivery of anti-wrinkle dipeptide KT via molecular modification: Preformulation, permeation, and the importance of conjugate chain length by Mahsa Sayed Tabatabaei, Farzad Kobarfard, Reza Aboofazeli, Sorour Ramezanpour, Hamid Reza Moghimi

“…The excessive hydrophilicity of peptides is partially solved by lipoidal conjugates, however, the increased molecular weight due to conjugation creates a new obstacle to skin permeation. Methods: In an attempt to concurrently solve these limitations, here we have studied different short-mid chain fatty acids (C6-C18) conjugates of dipeptide KT. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Abstract Background Gadolinium-enhanced “sampling perfection with application-optimized contrasts using different flip angle evolution” (SPACE) sequence allows better visualization of brain metastases (BMs) compared to “magnetization-prepared rapid acquisition gradient echo” (MPRAGE). …”
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Integrated neural network and AspenPlus model for entrained flow gasification kinetics investigation by Balaban Dario, Lubura Jelena, Kojić Predrag

“…Matlab algorithm was used for the determination of the optimal number of neurons (1—20 range) in each ANN. …”
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Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance by Mahmoud M. Eid, Kamal ElDahshan, Abdelatif H. Abouali, Alaa Tharwat

“…Each experiment compares the proposed method, utilizing the best optimizer from the first set, against leading imputation methods. …”
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Retracted: Multi-Objective Optimization Algorithm and Preference Multi-Objective Decision-Making Based on Artificial Intelligence Biological Immune System by Juan Bao, Xiangyang Liu, Zhengtao Xiang, Gang Wei

“…The results of the research show that Multi - objective optimization algorithm is an excellent demonstration of the diversity of Pareto-oriented methods and solutions. …”
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Optimizing Nitrogen Application Enhances Sugar Beet (<i>Beta vulgaris</i> L.) Productivity by Modulating Carbon and Nitrogen Metabolism by Xuming Xing, Shifeng Dong, Ming Guo, Lei Wei, Shude Shi

“…In 2021–2022, we conducted field experiments in the Inner Mongolia region, evaluating the effects of different nitrogen application methods on sugar beet growth and productivity. …”
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Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo

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Determination of the genome-scale metabolic network of Bartonella quintana str. Toulouse to optimize growth for its use as chassis for synthetic biology by Emilio Garrote-Sánchez, Emilio Garrote-Sánchez, Andrés Moya, Andrés Moya, Rosario Gil, Rosario Gil

“…Flux Balance Analysis (FBA) was conducted to optimize biomass production, and in-silico knockouts were performed to evaluate growth yield under different media conditions. …”
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