Religiosity Predicts Marital Satisfaction (Case study: female students of Payame Noor Gonbad Kavous University) by Gholamreza khoshfar, Fatemeh Bay, Alireza Ghorbani

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Adaptive biases-incorporated latent factorization of tensors for predicting missing data in water quality monitoring networks by Xuke Wu, Xuke Wu, Lan Wang, Lan Wang, Miao Ge, Miao Ge, Jing Jiang, Jing Jiang, Yu Cai, Bing Yang, Bing Yang

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Predicting diabetic peripheral neuropathy through advanced plantar pressure analysis: a machine learning approach by Mehewish Musheer Sheikh, Mamatha Balachandra, Narendra V. G., Arun G. Maiya

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Preoperative CT-based radiomics nomogram for progression-free survival prediction in pediatric posterior mediastinal malignancies by Shucheng Bi, Chenghao Chen, Jie Yu, Ting Yang, Jihang Sun, Zunying Hu, Qi Zeng, Yun Peng

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Development and validation of the scale of aesthetics and creativity in chess by Alisa Scherbakova, George Engelhard, A. Kadir Bahar

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METHODS OF EVALUATION OF STATE INNOVATIVE SERVICES’ EFFICIENCY IN COMMUNICATIONS SECTOR OF TATARSTAN REPUBLIC by N. S. Aksyonova

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Short Term Photovoltaic Power Combination Prediction Method Based on Similar Day Selection and Data Reconstruction by Qingbin CHEN, Genghuang YANG, Liqing GENG, Juan SU, Jingsheng SUN

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Analyzing and Predicting LUCC and Carbon Storage Changes in Xinjiang’s Arid Ecosystems Under the Carbon Neutrality Goal by Jie Song, Xin He, Fei Zhang, Xu Ma, Chi Yung Jim, Brian Alan Johnson, Ngai Weng Chan

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Impact of COVID-19 School Closures on German High-School Graduates’ Perceived Stress: A Structural Equation Modeling Study of Personal and Contextual Resources by Tim Rogge, Andreas Seifert

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Dynamic Response Prediction of Railway Bridges Considering Train Load Duration Using the Deep LSTM Network by Sui Tan, Xiandong Ke, Zhenhao Pang, Jianxiao Mao

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Exploring graduate students’ use of generative artificial intelligence in Ghana: insights from an extended UTAUT2 model, PLS-SEM, IPMA and fsQCA by Iddrisu Salifu, Francis Arthur, Bernard Yaw Sekyi Acquah, Ernest Opoku, Sharon Abam Nortey, Eric Boateng

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Zonation system in admission of new student at state secondary school in Indonesia: how predictable to learning success by B. Bulkani, M. Fatchurahman, M. A. Setiawan

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A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China by Jiayi Yang, Zihao Chen, Xinxin Dai, Liyao Jiang, Liyan Dai, Yu Zhao

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Prediction of COVID-19 Effect on Patients during Six Month After Recovery, by Using AI Algorithm by hanan aldabagh, Ghaydaa Al-Talib

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Predicting psychotic-like experiences among adolescents: the interplay of childhood trauma, cognitive biases, neuroticism, and depression by Chang Xi, Xin Xu, Song Wang

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Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach by Rakesh Kumar, S. Karthik, Abhishek Kumar, Adithya Tantri, Shahaji, S. Sathvik

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Dynamic behavior of the nucleus pulposus within the intervertebral disc loading: a systematic review and meta-analysis exploring the concept of dynamic disc model by Jean-Philippe Deneuville, Jean-Philippe Deneuville, Jean-Philippe Deneuville, Maxime Billot, Alexandra Cervantes, Sylvain Peterlongo, Martin Meyer, Mezika Kolder, Marie Escande, Mathilde Bourgeois, Adrien Pallot, Adrien Pallot, Romain David, Romain David, Romain David, Manuel Roulaud, Amine Ounajim, Mark Laslett, Mathieu Sarracanie, Najat Salameh, Arnaud Germaneau, Philippe Rigoard, Philippe Rigoard, Philippe Rigoard

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AI driven prediction of early age compressive strength in ultra high performance fiber reinforced concrete by Mohamed Abdellatief, Wafa Hamla, Hassan Hamouda

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Predicting the development of diabetes using the product of triglycerides and glucose: the Chungju Metabolic Disease Cohort (CMC) study. by Seung-Hwan Lee, Hyuk-Sang Kwon, Yong-Moon Park, Hee-Sung Ha, Seung Hee Jeong, Hae Kyung Yang, Jin-Hee Lee, Hyeon-Woo Yim, Moo-Il Kang, Won-Chul Lee, Ho-Young Son, Kun-Ho Yoon

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Predicting treatment response in individuals with major depressive disorder using structural MRI-based similarity features by Sutao Song, Songling Wang, Jingjing Gao, Lingkai Zhu, Wenxin Zhang, Yan Wang, Donglin Wang, Danning Zhang, Kangcheng Wang

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