Use of NIRS technology for predicting the nutritional value of silage made from tropical grasses enriched with corn ethanol co-products and intercropped with corn by Joadil Gonçalves de Abreu, Daniele Cristina da Silva Kazama, Wender Mateus Peixoto, Edegar Matter, Luciano da Silva Cabral, Ernando Balbinot, Patrícia Orlando Royer, Eduardo André Ferreira

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Development of a nomogram for predicting malignancy in BI-RADS 4 breast lesions using contrast-enhanced ultrasound and shear wave elastography parameters by Tiantian Ren, Zhenzhen Gao, Lufeng Yang, Weibo Cheng, Xiao Luo

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Analyzing the infertility burden of polycystic ovarian syndrome in China: A comprehensive age-period-cohort analysis with future burden prediction (1990–2030) by DongYi Shen, Yang Wang, PanWei Hu, Cong Qi, Hong Yang

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Predicting Cervical Lymph Node Metastasis Using Preoperative Multiparameter Data Based on Imaging, Serology, and Clinical Features in Unifocal Papillary Thyroid Carcinoma by Junlin HE, Wenjing CHEN, Lili HU, Yongsheng WANG, Jing CHEN, Ming WU

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Flexible Visible Spectral Sensing for Chilling Injuries in Mango Storage by Longgang Ma, Zhengzhong Wan, Zhencan Yang, Xunjun Chen, Ruihua Zhang, Maoyuan Yin, Xinqing Xiao

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Knowledge Bases and Representation Learning Towards Bug Triaging by Qi Wang, Weihao Yan, Yanlong Li, Yizheng Ge, Yiwei Liu, Peng Yin, Shuai Tan

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Identifying Heart Attack Risk in Vulnerable Population: A Machine Learning Approach by Subhagata Chattopadhyay, Amit K Chattopadhyay

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Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management by Vikram Pasupuleti, Bharadwaj Thuraka, Chandra Shikhi Kodete, Saiteja Malisetty

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Biomechanical parameters quantified by MR elastography for predicting response to neoadjuvant chemotherapy and disease-free survival in breast cancer: a prospective longitudinal st... by Xiaoxia Wang, Yao Huang, Jinfang Shi, Ying Cao, Huifang Chen, Lan Li, Lu Wang, Sun Tang, Xueqin Gong, Haiping Huang, Ting Yin, Jiuquan Zhang

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Development and validation of a nomogram for predicting the risk of intestinal barrier dysfunction in patients after major abdominal surgery: a prospective cohort study by Qinghua Zou, Ruotian Wang, Yunfang Dong, Weiming Li, Guoyun Zhao, Zhaochuan Yin, Manqing Hu, Yijun Li, Qingwen Xu, Lixing Wang, Kaiwen Shi, Hongyuan Liu, Yichen Hu, Yuanpei Zhao

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Few-shot Remote Sensing Imagery Recognition with Compositionality Inductive Bias in Hierarchical Representation Space by Shichao Zhou, Zhuowei Wang, Zekai Zhang, Wenzheng Wang, Yingrui Zhao, Yunpu Zhang

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Machine learning for the prediction of spontaneous preterm birth using early second and third trimester maternal blood gene expression: A cautionary tale. by Kylie K Hornaday, Ty Werbicki, Suzanne C Tough, Stephen L Wood, David W Anderson, Constance H Li, Donna M Slater

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Predicting PTSD and complex PTSD from interpersonal violence in Japanese school-based extracurricular sports activities: using the International Trauma Questionnaire (ITQ) by Hayato Toyoda, Hayato Toyoda, Katsuhiko Ishikawa, Yasuhiro Omi

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Design of an Iterative AI-Driven Latency Prediction and QoS-Aware Task Scheduling in Mobile Edge Computing: A Federated and Reinforcement Learning Process by Sharma Garima, Khare Rashi, Kulkarni Neha, Pagare Sanjay, Tiwari Vanshika

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A multiscale crystal plasticity-multistage fatigue coupling framework for prediction of low-cycle fatigue life in laser additively manufactured titanium alloy by Ning Guo, Jiang Yu, Qingjun Zhou, Jilai Wang, Guangchun Xiao, Bingtao Tang, Zhongguo Zhang

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Synergistic bioinformatics and sophisticated machine learning unveil ferroptosis-driven regulatory pathways and immunotherapy potential in breast carcinoma by Lei Xia, Zhen Ye, Man Zheng, Zhaofeng Tan

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Exploring the Factors Influencing the Spread of COVID-19 Within Residential Communities Using a Big Data Approach: A Case Study of Beijing by Yang Li, Xiaoming Sun, Huiyan Chen, Hong Zhang, Yinong Li, Wenqi Lin, Linan Ding

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Characterization of braided river reservoir architecture based on seismic attribute stacking ensemble learning: A case study of the C-2 oilfield in the Bohai Bay Basin by ZHANG Zhang, MENG Peng, YANG Wei, ZHANG Xiaolong, HUANG Qi, WANG Haoran

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Optimizing ensemble learning for satellite-based multi-hazard monitoring and susceptibility assessment of landslides, land subsidence, floods, and wildfires by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Farman Ali, Biswajeet Pradhan, Soo-Mi Choi

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Estimating Rooting Depth From Herbarium Specimens Might Be More Accurate Than Using Large Trait Databases by Attila Takács, Attila Molnár V., Anna E‐Vojtkó, Jenő Nagy

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