Parameter Optimization of Milling Process for Surface Roughness Constraints by GUO Bin, YUE Caixu, ZHANG Anshan, JIANG Zhipeng, YUE Daxun, QIN Yiyuan

“… In the milling process of 6061 aluminum considering the requirement of controlling the surface roughness of workpiece, artificially selected milling parameters may be conservative, resulting in low material removal rate and high manufacturing cost.Taking the surface roughness as the constraint condition and the maximum material removal rate as the goal, the surface roughness regression model is established based on extreme gradient boosting (XGBOOST) with the spindle speed, feed speed and cutting depth as the optimization objects.The milling parameters of spindle speed, feed speed and cutting depth are optimized by genetic algorithm.The optimal milling parameters are obtained by using the multi objective optimization characteristics of genetic algorithm.It can be seen from the four groups of optimization results that the maximum change of surface roughness is only 0.048μm, while the minimum material removal rate increases by 2458.048mm3/min.While achieving surface roughness, the processing efficiency is improved, and the manufacturing costs are reduced, resulting in good optimization effects, which has a certain guiding role in the actual processing.…”
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The effects of nursing care package implementation on pressure injuries prevention in the intensive care unit by Sevda Önen, Özlem Doğu

“…Abstract Aim The study was aimed to evaluate the effect of the care package prepared in accordance with the algorithm in the intensive care unit on the prevention of pressure injuries. …”
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Evolution of the Dynamics of Centennial Hot Summers in Western Europe With Climate Change by Robin Noyelle, Arnaud Caubel, Yann Meurdesoif, Davide Faranda, Pascal Yiou

“…However, answering questions about their physical mechanisms and how they may evolve in the future is challenging because of their rareness. …”
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Formation of private performance criteria A-CDM taking into account the interests of the participants in the decision-making process in a dynamic environment by G. N. Lebedev, V. B. Malygin

“…As an example, the article describes a situation that may occur in a real-world production. Based on the multiplicative form a dynamic priority for delayed flights is assigned, taking into account the conflicting interests of the participants in the process, private ranking criteria for flights during each step of the rescheduling are formed, a genetic algorithm is applied. …”
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept stu... by Lorenzo Ruinelli, Pietro Cippà, Chantal Sieber, Clelia Di Serio, Paolo Ferrari, Antonio Bellasi

“…Machine Learning (ML) algorithms were developed with 10-fold cross-validation, and diagnostic accuracy was evaluated.…”
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Parameter algorithm-driven optimization of surgical approaches: An investigation based on T1 slope minus C2-7 cervical lordosis in patients with cervical degenerative diseases by Tao Liu, Zhongzheng Zhi, Shuiqiang Qiu, Jian Kang, Jinhao Miao, Zhimin He, Zude Liu

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Hybrid Approach of Finite Element Method, Kigring Metamodel, and Multiobjective Genetic Algorithm for Computational Optimization of a Flexure Elbow Joint for Upper-Limb Assistive D... by Duc Nam Nguyen, Thanh-Phong Dao, Ngoc Le Chau, Van Anh Dang

“…Modeling for robotic joints is actually complex and may lead to wrong Pareto-optimal solutions. Hence, this paper develops a new hybrid approach for multiobjective optimization design of a flexure elbow joint. …”
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Using a machine learning algorithm and clinical data to predict the risk factors of disease recurrence after adjuvant treatment of advanced-stage oral cavity cancer by Sheng-Yao Huang, Ren-Jun Hsu, Dai-Wei Liu, Wen-Lin Hsu

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Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials by Simin Nazari, Amira Abdelrasoul

“…Seven machine learning algorithms for predicting affinity energy are analyzed and compared, with random forest demonstrating superior predictive accuracy. …”
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Conceptual approaches to assessment and allocation of unused lands for organic agriculture projects by V. V. Borodychev, V. A. Shevchenko, M. N. Lytov

“…At each stage, the creation of a project may be rejected, for which special groups and methods of evaluation are used. …”
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An Optimization‐Simulation Method for Low‐Impact‐Development (LID) Facilities Based on CCMO Algorithm Combining an Integrated Finite Volume Coastal Ocean and Drainage Pipe Model... by Fei Liu, Qiming Cheng, Zijian Zeng, Shuyi Wei, Shaochun Yuan, Zhen Liu, Yao Chen

“…At low costs, the peak flood reduction effect of combined LID facilities may be lower than that of a single LID facility with strong permeability, but as costs continue to increase, combined LID facilities show its superiority. …”
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A 12-week cluster randomized controlled trial of the effectiveness of an AI-aided DICE algorithm for BPSD management in low-resource settings: a study protocol by Yaonan Zheng, Yaonan Zheng, Xingyu Zhang, Xingyu Zhang, Wenxiu Li, Jun Ji, Huali Wang, Huali Wang

“…However, limited resources may limit the implementation of the DICE approach. …”
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TMEM132A: a novel susceptibility gene for lung adenocarcinoma combined with venous thromboembolism identified through comprehensive bioinformatic analysis by Pei Xie, Yingli Liu, Pingping Bai, Yue Ming, Qi Zheng, Li Zhu, Yong Qi

“…Molecular crosstalk analysis identified candidate genes through differential expression algorithms and disease-association metrics. Functional annotation employed GO and KEGG analyses to elucidate the biological significance of identified CGs. …”
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Predicting Running Vertical Ground Reaction Forces Using Neural Network Models Based on an IMU Sensor by Shangxiao Li, Jiahui Pan, Dongmei Wang, Shufang Yuan, Jin Yang, Weiya Hao

“…The sliding time window synchronization (STWS) algorithm was developed to sync IMU data with vGRF data. …”
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Hypoxia adaptation mechanism in rats’ peripheral auditory system in high altitude migration: a time series transcriptome analysis by Luoying Wang, Xingcheng Yi, Yulai Zhou, Lanzi Gongga, Shuyuan Yu, Xinyi Guo, Xiaoqiang Pan, Xiaoyun Su, Ping Wang

“…A time-series gene co-expression network algorithm was used to investigate gene regulatory patterns and key genes after migration. …”
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AI-based system for food and beverage selection towards precision nutrition in Indonesian restaurants by Kudang Boro Seminar, Evy Damayanthi, Karlisa Priandana, Harry Imantho, Bonang Waspadadi Ligar, Annisa Utami Seminar, Angga Dwi Krishnajaya, Muhamad Reza Aditya, Muhammad Ilham Hakim Suherman, Ismy Fana Fillah

“…The diversity of foods, where each dish may have a unique recipe across different restaurants, needs to be accounted for in personalized nutrition. …”
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Lymphocyte Inhibition Mechanisms and Immune Checkpoints in COVID-19: Insights into Prognostic Markers and Disease Severity by Martina Schniederova, Anna Bobcakova, Marian Grendar, Adam Markocsy, Andrej Ceres, Michal Cibulka, Dusan Dobrota, Milos Jesenak

“…<i>Conclusions:</i> Analysis of the immune response may be useful for monitoring and predicting the course of COVID-19 upon admission. …”
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Comparison of manual and semi-automated algorithm for measuring architectural features during different isometric knee extension intensities: a reliability and comparative study in... by Micheal J. Luera, Micheal J. Luera, JoCarol E. Shields, Emma Bozarth, Rob J. MacLennan, Rob J. MacLennan, Natalie P. Walker, Jesus A. Hernandez-Sarabia, Jesus A. Hernandez-Sarabia, Carlos A. Estrada, Jason M. DeFreitas, Scott K. Crawford, Scott K. Crawford, Scott K. Crawford

“…Therefore, careful consideration and training should be provided when considering manual assessment of muscle architecture values, and standardized identification methods and features in algorithm development may be a better method for reproducibility.…”
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Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction by Ralf J. Dirschinger, Ralf J. Dirschinger, Alexander Müller, Petra Barthel, Alexander Steger, Michael Dommasch, Axel Bauer, Karl-Ludwig Laugwitz, Georg Schmidt, Daniel Sinnecker, Daniel Sinnecker

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Usage of the optimal fuzzy system models on chloride diffusion of concrete by Shuai Sun

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