Modeling land cover changes using an enhanced Markov-future land use simulation model with spatial distribution considerations: a case study in the Yellow River Basin by Jianchen Zhang, Heying Li, Hanwen Zhang, Jiayao Wang, Guangxia Wang, JianWei Xu, Haohua Zheng, HuiLing Ma

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The Value of Clinical Variables and the Potential of Longitudinal Ultrasound Carotid Plaque Assessment in Major Adverse Cardiovascular Event Prediction After Uncomplicated Acute Co... by Leonid L. Bershtein, Alexey N. Sumin, Anna V. Kutina, Marina D. Lunina, Dmitrii S. Evdokimov, Tatyana V. Nayden, Viktoriya E. Gumerova, Igor N. Kochanov, Arkadii A. Ivanov, Svetlana A. Boldueva, Ekaterina D. Evdokimova, Elizaveta V. Zbyshevskaya, Alina E. Evtushenko, Vartan K. Piltakyan, Sergey A. Sayganov

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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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Clinical validation of an integrated risk assessment test incorporating genomic and non-genomic data for sporadic breast cancer in Colombia by Harvy Mauricio Velasco Parra, Danny Styvens Cardona, Danny Styvens Cardona, Cesar Augusto Buitrago, Melisa Naranjo Vanegas, Sebastián Gutiérrez Hincapié, Carolina Jaramillo Jaramillo, Alicia Maria Cock-Rada, Alicia Maria Cock-Rada, Alicia Maria Cock-Rada, Alicia Maria Cock-Rada, Carolina Benavides Duque, Clara Patricia Piedrahita, Catalina Bustamante, Leonel Andrés González Niño, Leonel Andrés González Niño, Leonel Andrés González Niño, Jen Kintle, Scott Kulm, Alessandro Bolli, Paolo Di Dominico, Giordano Botta, George B. Busby, Juan Pablo Valencia-Arango, Juan Pablo Valencia-Arango

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Towards a national registry for Alzheimer’s disease and related dementias: rationale, design, and initial observations of the ABOARD cohort by Casper de Boer, Hanneke F. M. Rhodius-Meester, Sophie M. van der Landen, Jurgen Claassen, Romy de Haan, Janne M. Papma, Harro Seelaar, Marleen Kloppenburg-Lagendijk, Barbara van Munster, Marjolein de Vugt, Derk Arts, Marco Blom, Tanja J. de Rijke, Miriam Beusink, Robbert Huijsman, Evert-Ben van Veen, Argonde van Harten, Jort Vijverberg, Marissa Zwan, Henk-Jan Mutsaerts, Sven J. van der Lee, Wiesje M. van der Flier

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Using Machine Learning for the Precise Experimental Modeling of Catastrophe Phenomena: Taking the Establishment of an Experimental Mathematical Model of a Cusp-Type Catastrophe for... by Shaonan Zhang, Liangshan Xiong

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Do Random Forest-Driven Climate Envelope Models Require Variable Selection? A Case Study on <i>Crustulina guttata</i> (Theridiidae: Araneae) by Tae-Sung Kwon, Won Il Choi, Min-Jung Kim

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Trends in stroke incidence and mortality in China, Japan, and South Korea (1990–2021) with projections to 2035 by Liyuan Yang, Luhan Fan, Yuanyi Cao, Xinyao Liu, Chao Yang, Yamei Luo, Junhui Zhang

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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy by Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, Abeer Alsadoon, Madhav Parsad Koirala, Sumeet Gill

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The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence by Yang Pu, Hao Li, Wenjia Hou, Xingchen Pan

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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2. by Junhao Liu, Zeyu Luo, Rui Wang, Xin Li, Yawen Sun, Zongqing Chen, Yu-Juan Zhang

“…The identification of shared key features that capture evolutionarily conserved traits enhances the interpretability of the EUP model for ubiquitination prediction. EUP is free and available at (https://eup.aibtit.com/).…”
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Summarization, Prediction, and Analysis of Turkish Constitutional Court Decisions With Explainable Artificial Intelligence and a Hybrid Natural Language Processing Method by Tulay Turan, Ecir Ugur Kucuksille

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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques by Tuğçe Öznacar, Nuray Varol Kayapunar

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Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank. by Aviv Gafni, Gillian S Dite, Erika Spaeth Tuff, Richard Allman, John L Hopper

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Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting by Zhihong Lv, Rui Sun, Xin Liu, Shuo Wang, Xiaowei Guo, Yuan Lv, Min Yao, Junhua Zhou

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Intratumoral and peritumoral radiomics based on automated breast volume scanner for predicting human epidermal growth factor receptor 2 status by Hao Zhang, Qing Miao, Yan Fu, Ruike Pan, Qing Jin, Changjiang Gu, Xuejun Ni

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Prediction of pavement water film depth and estimation of critical rainfall conditions for refined road safety management: A simulation study. by Jinliang Xu, Wenzhen Lv, Chao Gao, Tian Xin, Xiantong Liu, Yahao Hou

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Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study by Xinxin Qin, Binxu Qiu, Litao Ge, Song Wu, Yuye Ma, Wei Li

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External validation of N2H3 nomogram to predict outcomes in patients with acute ischemic stroke treated by intravenous thrombolysis by Huai-Mei Zhang, Zi-Duo Shen, Yang Qu, Peng Zhang, Reziya Abuduxukuer, Li-Juan Wang, Yu Li, Yu-Mei Chen, An-Ran Liu, Xiao-Dong Liu, Li-Li Zhao, Chun-Yu Yang, Jing Yao, An-Ying Wang, Yong-Fei Jiang, Jin-Cheng Wang, Chen-Peng Dong, Fang-Fang Liu, Li Li, Ying-Bin Qi, Chun-Fei Wang, Hao Li, Li-Ying Zhang, Wen-Juan Ma, Zhen-Ni Guo, Yi Yang

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Surfactant representation using COSMO screened charge density for adsorption isotherm prediction using Physics-Informed Neural Network (PINN) by Achmad Anggawirya Alimin, Kattariya Srasamran, Wanutchaya Yuenyong, Ampira Charoensaeng, Bor-Jier Shiau, Uthaiporn Suriyapraphadilok

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