Machine-Learning-Based Optimal Feed Rate Determination in Machining: Integrating GA-Calibrated Cutting Force Modeling and Vibration Analysis by Yu-Peng Yeh, Han-Hao Tsai, Jen-Yuan Chang

“…These optimal feed rates are then used to train an Extreme Gradient Boosting (XGBoost) regression model, with Bayesian optimization employed for hyperparameter tuning. …”
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Biomimetic Responsive Space Divider for Co-Working Environments: An Interactive Design Approach by Ayman Assem

“…This study seeks to create an adaptive architectural feature that reacts to user activity, ultimately boosting productivity, collaboration, and well-being. …”
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The application of deep learning technology in smart agriculture: Lightweight apple leaf disease detection model by Luo Man

“…Additionally, the DySample module adaptively modifies the up-sampling process, boosting resistance to interference and improving detection of small-scale diseases. …”
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Groundwater fluoride modeling using an artificial neural network: a review by Neeta Kumari, Gaurav Kumar, Saahil Hembrom

“…Inputs are selected through statistical analysis. The modeling process is carried out using the “nntool” in MATLAB software. …”
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Exploring development pathways for mining rural areas in the context of urban-rural integration: A case study in Shanxi Province, China. by Hao Xu, Shengyu Zhang, Zhenyu Wu

“…In the process of urban-rural integration, rural depression poses a severe challenge to urban-rural coordination and regional sustainable development. …”
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Unifying CSR and Responsibility Accounting: Towards an Integrated Accountability Framework by Gintarė Špogienė, Bohdan Holovash, Liliia Holovash

“…The proposed framework emphasizes the need to integrate CSR throughout all key management processes, including organizational structure analysis, responsibility center goal-setting, performance evaluation, and accountability control. …”
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Developing Cultural Awareness through the Use of Authentic Materials in the EFL Classroom at the Department of Letters and English, University of Frères Mentouri Constantine 1 by Amina Benhamlaoui, Riad Belouahem

“…Authentic materials constitute a convenient teaching tool which serves the aims of equipping students with necessary cultural knowledge and skills, boosting students’ motivation and interest towards cultural diversity, and making the teaching/learning process enjoyable and easier. …”
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Generative AI-assisted feedback and EFL writing: a study on proficiency, revision frequency and writing quality by Mohamed Mekheimer

“…Thematic analysis of the qualitative data revealed that AI-assisted feedback promoted student engagement by reducing frustration, boosting confidence, and facilitating a greater sense of accomplishment. …”
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…It combines the advantages of Random Forest (RF) and Gradient Boosting Tree (GBT), and improves the accuracy and efficiency of the model in sprint pattern recognition by adaptively adjusting the hyperparameter and tree structure. …”
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Influence of perceived social support and academic self-efficacy on teacher-student relationships and learning engagement for enhanced didactical outcomes by Yaxing Wang, Lu Wang, Ling Yang, Wenwen Wang

“…Establishing harmonious relationships between teachers and students, nurturing students’ confidence in their academic abilities , and expanding students’ access to social support were essential to boosting the educational involvement of college students. …”
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Machine Learning Model Optimization for Antarctic Blowing Snow Height and Optical Depth Diagnosis by Surendra Bhatta, Yuekui Yang

“…Observations from the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) serve as ground truth for training. The optimization process involves selecting relevant input features and identifying the most effective ML regressor. …”
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Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain by Tsega Y. Melesse, Chiara Franciosi, Valentina Di Pasquale, Stefano Riemma

“…<i>Background</i>: Digital twins have the potential to significantly improve the efficiency and sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks, planning for contingencies, and improving existing processes and resources. Additionally, they can add value to businesses by lowering costs and boosting customer satisfaction. …”
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Evaluation of medical ethics education using the CIPP model: a study on the perspectives of medical students by Amirhossein Alirezaie, Habibeh Ahmadipour, Mina Mobasher

“…However, it requires improvements in the context, input, and process areas, such as aligning materials with cultural norms, and boosting students.It is hypothesized that the medical ethics program at Kerman University of Medical Sciences is robust and aligns well with the CIPP model standards. …”
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Research on lubrication characteristics of sliding bearings in circular arc gear pumps under variable operating conditions by Wang Shuai, Hao Zhenchao, Han Weifeng, Liu Juntao, Li Geqiang, Liu Yunda, Wu Yiwei

“…Compared with the acceleration process, the changing trend of lubrication characteristics of sliding bearings during the boosting process is opposite.…”
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Developing an Integrative Data Intelligence Model for Construction Cost Estimation by Zainab Hasan Ali, Abbas M. Burhan, Murizah Kassim, Zainab Al-Khafaji

“…Construction cost estimation is one of the essential processes in construction management. Project cost is a complex engineering problem due to various factors affecting the construction industry. …”
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Blockchain and Digital Twins in Smart Industry 4.0: The Use Case of Supply Chain-A Review of Integration Techniques and Applications by Christos Roumeliotis, Minas Dasygenis, Vasilis Lazaridis, Michael Dossis

“…Digital twins (DTs), which replicate real-world components and processes, have emerged as essential tools for enhancing predictive analytics, simulation, and product lifecycle management in Industry 4.0. …”
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Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials by Ahmed Farid Ibrahim, Mohamed Abdrabou Hussein

“…This study employed machine learning (ML) models to predict AC’s properties and optimize its production process. Random Forest (RF), Decision Tree (DT), Gradient Boosting Regressor (GBR), support vector machines (SVM), and Artificial Neural Networks (ANN) were applied along with key input parameters, including raw material type, particle size, and activation conditions. …”
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Optimal location selection for digital television signal booster towers in poorly covered areas: application of the EDIS multi-criteria decision-making method by Mehdi Soltanifar

“…It contributes significant scientific value to the field by providing an effective solution for optimizing the location of digital television signal booster towers, thereby enhancing decision-making processes in this domain.…”
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Dealing with the Commonplace: Constantinos A. Doxiadis and the Zygos Technical Company by Konstantina Kalfa, Lefteris Theodosis

“…It discusses how the self-propelling mechanism of antiparochì both created and drew on a system of social and economic interdependencies that enjoyed broad support across the political spectrum, while boosting the growth of a speculative real estate market, where amateurish contractors and small construction companies thrived. …”
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Exploring heterogeneous catalytic ozonation: Catalyst types, reaction mechanisms, applications, challenges, and future outlook by Eliasu Issaka, Josephine Baffoe, Mabruk Adams

“…A solid catalyst improves ozonation efficiency by boosting O3 breakdown and the production of reactive oxygen species (ROS) capable of oxidizing ROCs. …”
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