Cross-generational genomic prediction of Norway spruce (Picea abies) wood properties: an evaluation using independent validation by Haleh Hayatgheibi, Henrik R. Hallingbäck, Salvador A. Gezan, Sven-Olof Lundqvist, Thomas Grahn, Gerhard Scheepers, Sonali Sachin Ranade, Katri Kärkkäinen, M. Rosario García Gil

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Oxidative stress index-based scoring for prediction of long-term prognosis in patients with colorectal cancer with liver metastases by Wei Li, Liming Shen, Qinglin Yang, Qun Zhang, Yinghao Cao, Tao Liu

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The systemic oxidative stress index predicts clinical outcomes of esophageal squamous cell carcinoma receiving neoadjuvant immunochemotherapy by Jifeng Feng, Jifeng Feng, Liang Wang, Xun Yang, Qixun Chen, Qixun Chen

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Intelligent evaluation method for design education and comparison research between visualizing heat-maps of class activation and eye-movement by Jia Jiayi, Zhao Tianjiao, Yang Junyu, Wang Qian

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Forecasting the development of poultry farming based on time series by Anatolii Kulyk, Katerina Fokina-Mezentseva, Alla Saiun, Daryna Saiun

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Trends in education-economy-related inequalities in the prevalence of early childhood untreated caries in Guangdong, China from 2005 to 2021 by Linxin Jiang, Shaohong Huang, Linmei Wu, Yuandong Qin, Simin Li, Deborah Kreher, Daniel R. Reissmann, Gerhard Schmalz, Xiangyu Huang

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Forearm Motion and Hand Grasp Prediction Based on Target Muscle Bioimpedance for Human–Machine Interaction by Tianyang Yao, Yu Wu, Dai Jiang, Richard Bayford, Andreas Demosthenous

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Towards real-world monitoring scenarios: An improved point prediction method for crowd counting based on contrastive learning. by Rundong Cao, Jiazhong Yu, Ziwei Liu, Qinghua Liang

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Predicting coefficient of volume compressibility of fine-grained soils using appropriate soil type and soil state parameters by K. S. Vivekananda, H. B. Nagaraj

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Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

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Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

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The application value of multimodal ultrasound imaging technology in the prediction of early-stage type 2 diabetic kidney disease by Dan Wang, Wenping Wang, Santing Xiang, Caifeng Xia, Yuan Zhang, Lingling Zhang

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GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks by Olusegun Folorunso, Oluwafolake Ojo, Mutiu Busari, Muftau Adebayo, Joshua Adejumobi, Daniel Folorunso, Femi Ayo, Orobosade Alabi, Olusola Olabanjo

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Prediction and Driving Study of Prunus armeniaca L. Habitat in the Yili River Valley under the Background of Climate Change by Ning Ang, Chen Wanji, Zhao Yang, Cui Wenbing, Saydahmat Muyassar, Akberjan Erfan

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The predictive value of thyroid hormone sensitivity parameters for cervical lymph node metastasis in patients with differentiated thyroid cancer by Jingcheng Bi, Tianqi Yao, Yu Yao, Zhengcai Zhu, Qiucheng Lei, Lianghe Jiao, Tao Li

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Inflammatory and neutrophil extracellular trap markers to predict cardiac events after ST-segment elevation myocardial infarction. by Ana Blasco, Axel Rosell, Raquel Castejón, Ana Royuela, Charlotte Thålin, Elvira Ramil, Silvia Elorza, María-José Coronado, Paloma Martín, Javier Vázquez, Carolina González-Andrés, Juan M Escudier, Javier Ortega, Carmen Bellas

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CT feature-based nomogram for predicting tumor spread through air spaces in stage IA lung adenocarcinoma by Bin Luo, Han Yang, Ningbo Fan, Pengfei Duan, Zhesheng Wen, Peng Lin

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Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration by Nan Wang, Yuying Wang, Chunsong Lu, Bin Zhu, Xing Yan, Yele Sun, Jialu Xu, Junhui Zhang, Zhuoxuan Shen

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Class-specific school closures for seasonal influenza: Optimizing timing and duration to prevent disease spread and minimize educational losses. by Yukiko Masumoto, Hiromi Kawasaki, Ryota Matsuyama, Miwako Tsunematsu, Masayuki Kakehashi

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Machine learning and deep learning in glioblastoma: a systematic review and meta-analysis of diagnosis, prognosis, and treatment by Hadja Fatima Tbahriti, Ali Boukadoum, Meriem Benbernou, Mohamed Belhocine

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