Study on the load-supporting characteristic of the new type of support disc-type anchor under cyclic loading test by Fuguang Gu, Jun Wang, Hong Chang, Qinglin Sun, Zhengheng Gan, Haozhi Jiang

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Ecological and temporal drivers of human-gaur conflict in Tamil Nadu, India by Thekke Thumbath Shameer, Priyambada Routray, A. Udhayan, Rangaswamy Kanchana, Senbagapriya Sekar, Sivaranjani Shankar, Dhayanithi Vasanthakumari, Selvakumar Subramaniyam

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Application of Supervised Learning Methods and Information Gain Methods in the Determination of Asbestos–Cement Roofs’ Deterioration State by Manuel Saba, David Valdelamar Martínez, Leydy K. Torres Gil, Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón

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Preventing Health Risks Through Intelligent Medical Appointment Management Using Disease and Attendance Propensity by Fredy Troncoso-Espinosa, Guillermo Latorre-Nunez, Catalina Valenzuela-Nunez, Juan San Martin-Duran

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Comparing the effects of hydromulching and application of biodegradable plastics on surface runoff and soil erosion in deforested and burned lands by Parhizkar Misagh, Lucas-Borja Manuel Esteban, Denisi Pietro, Tanaka Nobuaki, Zema Demetrio Antonio

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Structural equilibrium in universities: quality, finance and sustainability from an empirical perspective: An integrative analysis with neutrosophic cognitive maps by Claudio Ruff, Claudio Ruff, Juliana Vassileva, Bastián Gutiérrez

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Full-length 16S rRNA Sequencing Reveals Gut Microbiome Signatures Predictive of MASLD in children with obesity by Yu-Cheng Lin, Chi-Chien Wu, Yun-Er Li, Chun-Liang Chen, Chia-Ray Lin, Yen-Hsuan Ni

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PA-Win2: In Silico-Based Discovery of a Novel Peptide with Dual Antibacterial and Anti-Biofilm Activity by Jin Wook Oh, Min Kyoung Shin, Hye-Ran Park, Sejun Kim, Byungjo Lee, Jung Sun Yoo, Won-Jae Chi, Jung-Suk Sung

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Ideas and prospects for improving professional language training quality at a maritime university by R. V. Drazhan

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Multispectral imaging as a predictive tool for freshness of whole Atlantic cod: Compared with sensory, chemical and microbiological analysis by Andrea Rakel Sigurðardóttir, Hildur Inga Sveinsdóttir, Nette Schultz, Hafsteinn Einarsson, María Gudjónsdóttir

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Calibration and surrogate model-based sensitivity analysis of crystal plasticity finite element models by Hugh Dorward, David M. Knowles, Eralp Demir, Mahmoud Mostafavi, Matthew J. Peel

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Using ecological niche modeling to model invasion risk of hornets (Hymenoptera: Vespidae) in Iran by Ehsan Rahimi, Chuleui Jung

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Risk factor analysis and predictive nomogram development for in-hospital mortality in patients with ST-segment elevation myocardial infarction by Tahereh Roostami, Maryam Farhadian, Amirhossein Yazdi, Hossein Mahjub

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Novel Predictive Scoring System for Intravenous Immunoglobulin Resistance Helps Timely Intervention in Kawasaki Disease: The Chinese Experience by Yan Wang, Shuoyin Huang, Panpan Wang, Yan Wu, Yingying Liu, Yuting Pan, Jinyuan Dong, Zhidan Fan, Haiguo Yu

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Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach by Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Jenny Paola Ortega Quimbayo, Bridgette Kelly, Trish Ratajczak, Rhonda Marriott, Roz Walker, Jayne Kotz

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Teachers’ perceived skills, challenges and attitudes towards distance education: A validity and reliability study by Begüm Öztemür, Derya Çobanoğlu Aktan

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Predictive value of neutrophil to lymphocyte ratio for the complication of coronary heart disease in patients with chronic obstructive pulmonary disease by HUANG Minjie*，TAO Jun，LI Jie，WANG Zhi，LU Zhiping，XU Junwei

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Predictive value of combined DCE-MRI perfusion parameters and clinical features nomogram for microsatellite instability in colorectal cancer by Leping Peng, Wenting Ma, Xiuling Zhang, Fan Zhang, Fang Ma, Kai Ai, Xiaomei Ma, Yingmei Jia, Hong Ou-Yang, Shengting Pei, Tao Wang, Yuanhui Zhu, Lili Wang

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The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram by Yuehan Ma, Jianbing Sun, Ning Yuan, Sixu Xin, Dan Zhao, Xiaomei Zhang

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Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis by Benqiao Wang, Bohao Jiang, Dan Liu, Ruixia Zhu

“…Currently, there is no ideal tool for early prediction of HT risk. Recently, machine learning has gained traction in stroke management, prompting the exploration of predictive models for HT. …”
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