A novel alphanumeric classification system for ankle fractures: clinical applications and evaluation by Cemil Aktan, Ozkan Kose

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Development and validation of a machine learning-based model to predict survival in patients with cirrhosis after transjugular intrahepatic portosystemic shuntResearch in context by Binlin Da, Huan Chen, Wei Wu, Wuhua Guo, Anru Zhou, Qin Yin, Jun Gao, Junhui Chen, Jiangqiang Xiao, Lei Wang, Ming Zhang, Yuzheng Zhuge, Feng Zhang

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Proteome-Wide Identification and Comparison of Drug Pockets for Discovering New Drug Indications and Side Effects by Renxin Zhang, Zhiyuan Chen, Shuhan Li, Haohao Lv, Jinjun Li, Naixue Yang, Shaoxing Dai

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Advancing risk stratification in kidney transplantation: integrating HLA-derived T-cell epitope and B-cell epitope matching algorithms for enhanced predictive accuracy of HLA compa... by Matthias Niemann, Matthias Niemann, Benedict M. Matern, Benedict M. Matern, Gaurav Gupta, Bekir Tanriover, Fabian Halleck, Klemens Budde, Eric Spierings, Eric Spierings

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Predictors of the Short‐Term Outcomes of Guillain–Barré Syndrome: Exploring Electrodiagnostic and Clinical Features by Yi‐Hsiang Chen, Chia‐Lun Wu, Wei‐Chieh Weng, Yi‐Chia Wei

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Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range by Yang Zou, XiuJun Dong, Tao Feng, ZhengXuan Xu, Hailin He, ZhangLei Wu

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The big challenge for livestock genomics is to make sequence data pay by Johnsson, Martin

Subjects: “…genomics, animal breeding, genomic prediction, whole-genome sequence, quantitative genetics…”
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The Characteristics of Sex Differentiation Based on Morphological Traits During the Early Development Stage of the Swimming Crab <i>Portunus trituberculatus</i> and Sex Prediction... by Yanqing Peng, Junkai Lu, Ronghua Li, Chendong Xu, Shangbiao Zheng, Zhiming Ren, Chuan He, Changkao Mu, Weiwei Song, Chunlin Wang

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Machine learning models for predicting the bearing capacity of shallow foundations: A Comparative study and sensitivity analysis by Hamid Mohammadnezhad, Seyedmohammad Eslami

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Predicting Last Spring Freezing Day in West and Northwest of Iran by Hasan Zolfaghari, Gholamreza Zahedi, Tayebe Sajjadifar

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Multimodal data-based longitudinal prognostic model for predicting atrial fibrillation recurrence after catheter ablation in patients with patent foramen ovale and paroxysmal atria... by Shoupeng Duan, Xujun Li, Jun Wang, Yuhong Wang, Tianyou Xu, Fuding Guo, Yijun Wang, Lingpeng Song, Zeyan Li, Xiaomeng Yang, Xiaoyu Shi, Hengyang Liu, Liping Zhou, Yueyi Wang, Hong Jiang, Lilei Yu

Subjects: “…Prediction nomogram…”
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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

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Diabetes and Cataracts Development—Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study by Adriana Ivanescu, Simona Popescu, Adina Braha, Bogdan Timar, Teodora Sorescu, Sandra Lazar, Romulus Timar, Laura Gaita

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REVIEW ON THE ROAD TRAFFIC NOISE ASSESSMENT by ALINA PETROVICI, CLAUDIA TOMOZEI, FLORIN NEDEFF, OANA IRIMIA, MIRELA PANAINTE-LEHADUS

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Performance Prediction of Cross-Flow Fans Using Mean Streamline Analysis by Jae-Won Kim, Eun Young Ahn, Hyoung Woo Oh

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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

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Physical-aware model accuracy estimation for protein complex using deep learning method by Haodong Wang, Meng Sun, Lei Xie, Dong Liu, Guijun Zhang

Subjects: “…Protein complex structure prediction…”
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The Anthropocene and the biodiversity crisis: an eco-evolutionary perspective by Jarne, Philippe

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Construction and validation of a predictive model for the risk of myelosuppression after first-line chemotherapy in patients with advanced colorectal cancer by WANG Xuexing, ZHANG Rong, CHU Jie, LIU Zhijin

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Machine learning of swimming data via wisdom of crowd and regression analysis by Jiang Xie, Junfu Xu, Celine Nie, Qing Nie

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