Artificial Intelligence for Predicting Delivery Modes: A Systematic Review of Applications, Challenges, and Future Directions by Yu Zhou, Jing Li, Xiaomei Hou, Zhen Li, Yanan Xu, Yan Wang, Mingze Sun, Fumin Zheng, Enhui Guo, Jun Zhou

“…Results: Analysis of existing studies demonstrates that AI models outperform conventional statistical methods in predicting delivery modes, highlighting their potential as valuable tools in obstetric diagnosis and clinical decision-making. …”
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Developing a Comprehensive Physical Education Curriculum in Secondary Schools: Identifying and Exploring the Key Components of Content by Yurij Vaskov

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Saskatchewan Polytechnic’s Academic Model: Disrupting the Status Quo by Barbara Gustafson

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A predictive nomogram for assessing the likelihood of retrieving 12 lymph nodes after rectal cancer surgery: a single-center study by Jian Ma, Runyang Hao, Shuai Jiao, Qingmin Chen, Baohong Yang, Xu Guan, Jiale Li, Xinxuan Zhao, Yu Huo, Qingxia Xu, Haiyi Liu, Wen Su, Xishan Wang

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Spatial model of international tourism and tourists' original motives by Oleksandr Korol, Tetiana Skutar

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Energy saving and low carbon oriented renovation framework for educational buildings with Tianjin University case study by Xinge Du, Xiang Liu, Feng Gao, Zhihua Zhou

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Integrating generative AI into STEM education: enhancing conceptual understanding, addressing misconceptions, and assessing student acceptance by Tarik El Fathi, Aouatif Saad, Hayat Larhzil, Driss Lamri, El Mehdi Al Ibrahmi

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Burnout and emotional regulation: insights from students enrolled in higher education programs for initial teacher training by Júlia Ferreira, Carla Peixoto, Carla Peixoto, Vera Coelho, Vera Coelho, Sílvia Barros, Fátima Sousa-Pereira, Fátima Sousa-Pereira, Fátima Sousa-Pereira, Francisco Machado, Francisco Machado, Alexandra Marques-Pinto

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Dalargin antistress effects in experimental chronic stress model by V. Kirchev

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Identification of PANoptosis related biomarkers to predict hepatic ischemia‒reperfusion injury after liver transplantation by Zhihong Chen, Junwei Zhang, Lei Zhang, Yaoge Liu, Ting Zhang, Xinting Sang, Yiyao Xu, Xin Lu

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Study on the Evolution and Prediction of Land Use and Landscape Patterns in the Jianmen Shu Road Heritage Area by Chenmingyang Jiang, Xinyu Du, Jun Cai, Hao Li, Qibing Chen

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Soybean Water Monitoring and Water Demand Prediction in Arid Region Based on UAV Multispectral Data by Shujie Jia, Mingyi Cui, Lei Chen, Shangyuan Guo, Hui Zhang, Zheyu Bai, Yaoyu Li, Linqiang Deng, Fuzhong Li, Wuping Zhang

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Predicting Risk Factors for Dyslipidemia Based on Health Behaviors by Age in Adults Using Machine Learning by Jin-Hui Ku, Jong-Suk Kim, Kwang-Hwan Kim

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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

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Spatial-temporal radiogenomics in predicting neoadjuvant chemotherapy efficacy for breast cancer: a comprehensive review by Tingfeng Zhang, Liang Zhao, Tingting Cui, Yi Zhou, Peifen Li, Chuqiao Luo, Junkang Wei, Hong Hu

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Heterogeneous hematoma density predicts poor outcome in patients with supratentorial intracerebral hemorrhage after craniotomy by Li Luo, Yuanyuan Fu, Likun Wang, Jinhua Yang, Guofeng Wu, Siying Ren, Lian He, Shiqi Lin, Yuanyi Liu

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Exploring metabolomics for colorectal cancer risk prediction: evidence from the UK Biobank and ESTHER cohorts by Teresa Seum, Rafael Cardoso, Joshua Stevenson-Hoare, Bernd Holleczek, Ben Schöttker, Michael Hoffmeister, Hermann Brenner

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Elevated SAMD3 expression in T cells predicts improved survival in pancreatic ductal adenocarcinoma patients by Lingyi Fu, Enliang Zhou, Shuo Li, Ziteng Li, Liyan Wu, Xinxin Zhou, Lang Tian, Bokang Cui

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Predicting reperfusion injury and functional status after stroke using blood biomarkers: the STROKELABED study by Alessia Vignoli, Elena Sticchi, Benedetta Piccardi, Vanessa Palumbo, Cristina Sarti, Alessandro Sodero, Francesco Arba, Enrico Fainardi, Anna Maria Gori, Betti Giusti, Ada Kura, Leonardo Tenori, Marzia Baldereschi

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Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy by Mehdi Eslamifar, Hamed Tavakoli, Eiko Thiessen, Rainer Kock, José Correa, Eberhard Hartung

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