Using single‐plant‐omics in the field to link maize genes to functions and phenotypes by Daniel Felipe Cruz, Sam De Meyer, Joke Ampe, Heike Sprenger, Dorota Herman, Tom Van Hautegem, Jolien De Block, Dirk Inzé, Hilde Nelissen, Steven Maere

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The relationship between the APOE genotypes and memory performance of young adults and its neural basis by Ling Li, Wanning Wang, Wenjing Li, Yanli Chen, Yu Mao, Yu Li, Jiang Qiu

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The Role of Artificial Intelligence in Optometric Diagnostics and Research: Deep Learning and Time-Series Forecasting Applications by Luis F. F. M. Santos, Miguel Ángel Sánchez-Tena, Cristina Alvarez-Peregrina, José-María Sánchez-González, Clara Martinez-Perez

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Optimal Feature Selection and Classification for Parkinson’s Disease Using Deep Learning and Dynamic Bag of Features Optimization by Aarti, Swathi Gowroju, Mst Ismat Ara Begum, A. S. M. Sanwar Hosen

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A Future Picture: A Review of Current Generative Adversarial Neural Networks in Vitreoretinal Pathologies and Their Future Potentials by Raheem Remtulla, Adam Samet, Merve Kulbay, Arjin Akdag, Adam Hocini, Anton Volniansky, Shigufa Kahn Ali, Cynthia X. Qian

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Sustainable Management of Major Fungal Phytopathogens in Sorghum (<i>Sorghum bicolor</i> L.) for Food Security: A Comprehensive Review by Maqsood Ahmed Khaskheli, Mir Muhammad Nizamani, Entaj Tarafder, Diptosh Das, Shaista Nosheen, Ghulam Muhae-Ud-Din, Raheel Ahmed Khaskheli, Ming-Jian Ren, Yong Wang, San-Wei Yang

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Assessing the potential distribution of Myracrodruon urundeuva Allemão (Aroeira) in the Caatinga under climate change scenarios by Douglas Batista da Costa, Robson Borges de Lima, Rinaldo L. Caraciolo Ferreira, Alessandro de Paula, Cinthia Pereira de Oliveira, José A. Aleixo da Silva, Joselane P. Gomes, Mariana M. M. Santana, Ana Luisa L. Pereira

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Exploring suicidal thoughts among prospective university students: a study with applications of machine learning and GIS techniques by Mohammed A. Mamun, Firoj Al-Mamun, Md Emran Hasan, Nitai Roy, Moneerah Mohammad ALmerab, David Gozal, Md. Shakhaoat Hossain

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Analyzing Key Predictors of Postoperative Delirium Following Coronary Artery Bypass Grafting and Aortic Valve Replacement: A Machine Learning Perspective by Marija Stošić, Velimir Perić, Dragan Milić, Milan Lazarević, Jelena Živadinović, Vladimir Stojiljković, Aleksandar Kamenov, Aleksandar Nikolić, Mlađan Golubović

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Integration of Hybrid Machine Learning and Multi-Objective Optimization for Enhanced Turning Parameters of EN-GJL-250 Cast Iron by Yacine Karmi, Haithem Boumediri, Omar Reffas, Yazid Chetbani, Sabbah Ataya, Rashid Khan, Mohamed Athmane Yallese, Aissa Laouissi

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Global, regional, and national burdens of PUD in women of reproductive age from 1992 to 2021: a trend analysis based on the global burden of disease study 2021 by Xiaofeng Wang, Xiaofeng Wang, Song Yang, Shanzhi Zhao, Zhitao Yang, Enqiang Mao, Erzhen Chen, Erzhen Chen, Ying Chen, Ying Chen

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Adjustment of the ACEF score by the triglyceride glucose index improves the prediction of clinical outcomes in patients undergoing percutaneous coronary intervention by Qiao Feng, Maoling Jiang, Xiufen Peng, Hui He, Dongyue Jia, Jie Feng, Zhen Zhang, Shiqiang Xiong, Lin Cai

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An Improved Strategy for Torque Ripple Reduction of Dual Three-Phase Brushless DC Motor Fed by Two Diode-Clamped, Three-Level Inverters Using Model Predictive Control by Zahra Emami, Abolfazl Halvaei Niasar

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Dynamic Prediction of Low Permeability Oilfield Development Based on BP Neural Network by CHEN Yujia, WANG Wei, REN Lijian, WANG Bing, WANG Runping, YANG Jun, FAN Jiawei, ZHU Yushuang

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Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning by Amani Saad Althiban, Hajar M. Alharbi, Lama A. Al Khuzayem, Fathy Elbouraey Eassa

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Predictive value of acute neuroplastic response to taVNS in treatment outcome in persistent abdominal pain: A concurrent taVNS-EEG trial by Suping Cai, Qihan Li, Lina Liu, Qingchuan Zhao, Qinxian Huang, Kai Yuan

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A nomogram for predicting the risk of peritoneal dialysis-associated peritonitis in patients with end-stage renal disease undergoing peritoneal dialysis: model development and vali... by Yuehong Wang, Zhimin Wu, Liuqi Huang, Dan Suo, Min Zhang, Meifen Dai, Tianhui You, Jing Zheng

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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting by Tamrat Endebu, Girma Taye, Wakgari Deressa

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An Assessment of a Proposed Hybrid Neural Network for Daily Flow Prediction in Arid Climate by Milad Jajarmizadeh, Sobri Harun, Mohsen Salarpour

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Optimizing wireless dynamic charging infrastructure for electric vehicles: A predictive and adaptive framework leveraging decision-dependent uncertainties and renewable energy util... by Yanjia Wang, Xianlong Li, Mohannad Alhazmi, Da Xie, Xitian Wang

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