Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction by Ralf J. Dirschinger, Ralf J. Dirschinger, Alexander Müller, Petra Barthel, Alexander Steger, Michael Dommasch, Axel Bauer, Karl-Ludwig Laugwitz, Georg Schmidt, Daniel Sinnecker, Daniel Sinnecker

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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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Predicting immunotherapy efficacy in endometrial cancer: focus on the tumor microenvironment by Liubov A. Tashireva, Irina V. Larionova, Irina V. Larionova, Nikita A. Ermak, Anastasia A. Maltseva, Ekaterina I. Livanos, Anna Yu. Kalinchuk, Marina N. Stakheyeva, Larisa A. Kolomiets

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Active Mode Switching Control Strategy of Hybrid Electric Vehicle based on Identification of Road Gradient by Ming Ye, Xiangyu Gongye, Zhihong Zhu, Wenlei Wei

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Developing an Hourly Water Level Prediction Model for Small- and Medium-Sized Agricultural Reservoirs Using AutoML: Case Study of Baekhak Reservoir, South Korea by Jeongho Han, Joo Hyun Bae

Subjects: “…reservoir water level prediction…”
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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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Predictive potential of the bankruptcy global models in the tourism industry by Agustín Del Castillo García, Sergio Manuel Fernández Miguélez

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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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Topology prediction for opportunistic network based on spatiotemporal convolution by Jian SHU, Jiawei SHI, Linlan LIU, Al-Kali Manar

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Development and validation of a risk prediction model for acute kidney injury in coronary artery disease by Ming Ye, Chang Liu, Duo Yang, Hai Gao

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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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Intra-prediction mode decision based on video temporal and spatial correlation by DAI Sheng-kui, YU Li, ZHU Guang-xi, LIU Wen-yu

Subjects: “…intra prediction…”
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A machine learning-based clinical predictive tool to identify patients at high risk of medication errors by Ammar Abdo, Lyse Gallay, Thibault Vallecillo, Justine Clarenne, Pauline Quillet, Vincent Vuiblet, Rudy Merieux

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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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Understanding the role of the gut microbiome in solid tumor responses to immune checkpoint inhibitors for personalized therapeutic strategies: a review by Mi Young Lim, Seungpyo Hong, Young-Do Nam

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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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