Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model by Tingting Hu, Liheng Zhao, Xueling Zhao, Lin He, Xiaoli Zhong, Zhe Yin, Junjie Chen, Yanting Han, Ka Li

“…Six machine learning models, namely Logistic regression(LR), Support Vector Machine(SVM), K-Nearest Neighb(KNN), Random Forest (RF), Light Gradient Boosting Machine(LightGBM), and eXtreme Gradient Boosting‌(XGBoost) were constructed on this basis. …”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…Results indicate that the supervised ensemble algorithm, eXtreme Gradient Boosting (XGBoost), outperforms all other utilized techniques such as random forest, Gradient Boosting Regressor, support vector regression, kernel ridge regression, K-nearest neighbors, and Gaussian process regression. …”
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Investigation of crystal structure and chemical bonds characteristics on microwave properties of novel Ca-doped Sr1–xCaxTm2O4 (x=0.025–0.300) ceramics by Wenjie Zhang, Yanjun Liu, Guoqiang He, Ziqi Zhao, Yuan Nie, Yiwen Ma, Fangyi Huang, Huanfu Zhou

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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

“…In this regard, the current study presents a novel framework involving four standalone ML models (extra trees (ET), random forest (RF), categorical boosting (CatBoost), and extreme gradient boosting (XGBoost)) and their combination with genetic programming (GP). …”
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Machine learning applications for chloride ingress prediction in concrete: insights from recent literature by Quynh-Chau Truong, Anh-Thu Nguyen Vu

“…Various algorithms, such as Artificial Neural Networks (ANNs), Gene Expression Programming (GEP), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM) and Ensemble Learning, have shown potential in estimating corrosion processes, predicting material properties, and evaluating structural durability. …”
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Two-in-One Diasporas? Comparing and Contrasting Migration Management in France and Canada by Eve Bantman

“…These policies are largely disconnected from Canada's strategy of boosting economic development, cultivating networks for engaging the global diaspora. …”
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Combined Effect of HF‐rTMS and Whole‐Body Vibration Exercise on Cognitive Efficiency in Esports Players With or Without Sedentary Behaviors: A Randomized Controlled Trial by Shan He, Lu Leng, Dongdong Gao, Yu Chen, Weiji Deng, Jiarui Wu, Peilun Li, Yilin Chen, Jinglin Huang, Guoqing Liu, Jiarui Su, Jianwei Peng, Wenhuang Guo, Junfeng Zhang, Junhao Huang

“…Notably, the combination of HF‐rTMS and WBVT was found to be the most effective in boosting cognitive performance among these interventions. …”
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Brain stimulation used as biofeedback in neuronal activation of the temporal lobe area in autistic children by Vernon Furtado da Silva, Mauricio Rocha Calomeni, Rodolfo Alkmim Moreira Nunes, Carlos Elias Pimentel, Gabriela Paes Martins, Patrícia da Cruz Araruna Oliveira, Patrícia Bagno Silva, Alair Pedro Ribeiro de Souza e Silva

“…During the second session, participants had to alternately process figures evoking neutral, happy, and/or sorrowful feelings. …”
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Developing an Interpretable Machine Learning Model for Early Prediction of Cardiovascular Involvement in Systemic Lupus Erythematosus by Deng Z, Liu H, Chen F, Liu Q, Wang X, Wang C, Lyu C, Li J, Li T

“…Among seven evaluated algorithms, the Gradient Boosting Machine (GBM) demonstrated the best performance on the test set. …”
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Learning media using Pop-up Book “Variety of traditional houses in Indonesia” as alternative media in Pancasila Education for primary school by Nurul Hidayati Rofiah, Budiyono Budiyono, Rahmatika Dewi

“…The research process involved creating a pop-up book for Pancasila Education, explicitly focusing on the physical diversity of traditional Indonesian houses. …”
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Corporate sustainable development: ESG rating divergence and stock liquidity in China by Xinru Zhang, Xiaojie Sun, Yu Gao

“…In the process of allocating capital, investors are increasingly considering environmental, social, and governance (ESG) ratings and green development. …”
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Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network by Zeyu Wang, Caimeng Wang, Zhili Bai, Song Song

“…Based on expert judgment and Analytic Hierarchy Process (AHP) analysis, the transparency and accountability indicators were weighted at 0.7 and 0.3, respectively. …”
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ASSESSING FEED-IN-TARIFF POLICY APPROACHES FOR AN ACTIVE PROMOTION OF RENEWABLE POWER. COMPARATIVE ANALYSIS FOR WIND AND PV TECHNOLOGIES by IRINA NASALCIUC

“…The current paper aims to better address the policy risks and to extend the relevance of policy learning process involved in the course of boosting up a whole industry system. …”
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Driving effect of government environmental protection expenditure on green technology from the perspective of fiscal transparency by Chao Zhou, Min Li, Yunting Zhao

“…Fiscal transparency fosters the advancement of green technology by improving institutional frameworks, boosting corporate confidence, and increasing social investment, thereby enhancing green technology development through both government and social investment. …”
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Fuzzy clustering based scheduling algorithm for minimizing the tasks completion time in cloud computing environment by Nawaf R. Alharbe

“…The algorithm design and mathematical modeling discussed in this study lay a strong foundation for boosting task scheduling efficiency in cloud computing environments, which provides a broad perspective to improve the overall system performance and meet user quality requirements.…”
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Identification of aspects and barriers to implementing branding strategies in female entrepreneurship in the city of Guayaquil based on Plithogenic Neutrosophic Vague Statistics by María Fernanda Béjar-Feijoo, Nancy Ricardo-Domínguez

“…To this end, a survey is designed to identify these aspects. To process the data statistically, we prefer to use Plithogenic Statistics, with data in the form of Neutrosophic Vague Sets. …”
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Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency by Leszek Sliwko

“…Task constraint operators are compacted, pre-processed with one-hot encoding, and used as features in a training dataset. …”
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Optimization of Agricultural Enterprises’ Sown Areas Considering Crop Rotation by Nadiia Shmygol

“…The model demonstrates how the rotation of crops can prevent soil depletion and improve overall land use efficiency, thereby boosting the agricultural output of enterprises. The proposed approach is distinguished by its uniqueness, as it leverages advanced economic–mathematical methodologies and state-of-the-art information–analytical tools to enable the automation of the crop rotation planning process. …”
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Phenomenological Study on Diamond Jewelry Purchase Decisions as a Tertiary Need (A Study on the FebriMela Brand) by Pebri Melati, Amie Kusumawardhani

“… This research seeks to explore the decision-making process behind purchasing diamond jewelry as a way of fulfilling tertiary needs, with a specific focus on the local brand FebriMela. …”
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Reforming Real Estate Valuation for Financial Auditors With AI: An In-Depth Exploration of Current Methods and Future Directions by Silviu-Ionut BABTAN

“…Regression Models quantify attributes, Decision Trees provide clear insights, Random Forests improve predictions, Artificial Neural Networks design elaborate relationships, and XGBoost furnishes advanced boosting techniques for higher performance. Underscoring that AI is meant to support, not substitute, human assessors, the paper presents how these methods can enhance valuation processes, deliver more reliable valuation reports, and decrease errors, while also exploring future innovations and evolving trends in artificial intelligence for real estate industry and related professions.…”
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