Efficacy of Urine Asymmetric Dimethylarginine Concentration to Predict Azotemia in Hyperthyroid Cats After Radio‐Iodine Treatment by Ellen Vanden Broecke, Lisa Stammeleer, Emmelie Stock, Ellen De Paepe, Sylvie Daminet

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Enhancing Agricultural Futures Return Prediction: Insights from Rolling VMD, Economic Factors, and Mixed Ensembles by Yiling Ye, Xiaowen Zhuang, Cai Yi, Dinggao Liu, Zhenpeng Tang

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Prediction of clinical factors associated with pandemic influenza A (H1N1) 2009 in Pakistan. by Nadia Nisar, Uzma Bashir Aamir, Nazish Badar, Muhammad Rashid Mehmood, Muhammad Masroor Alam, Birjees Mazher Kazi, Syed Sohail Zahoor Zaidi

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Prediction of breast cancer Invasive Disease Events using transfer learning on clinical data as image-form. by Annarita Fanizzi, Samantha Bove, Maria Colomba Comes, Erika Francesca Di Benedetto, Agnese Latorre, Francesco Giotta, Annalisa Nardone, Alessandro Rizzo, Clara Soranno, Alfredo Zito, Raffaella Massafra

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MTLNFM: A Multi-Task Framework Using Neural Factorization Machines to Predict Patient Clinical Outcomes by Rui Yin, Jiaxin Li, Qiang Yang, Xiangyu Chen, Xiang Zhang, Mingquan Lin, Jiang Bian, Ashwin Subramaniam

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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

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Inflammatory burden index predicts long term mortality in a nationally representative population from NHANES by Wenze Li, Defeng Zhao, Wenya Li

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Quickpropagation Architecture Optimization Based on Input Pattern for Exchange Rate Prediction from Rupiah to US Dollar by Harits Farras Zulkarnaen, Sukmawati Nur Endah

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Efficient Hyperparameter Optimization Using Metaheuristics for Machine Learning in Truss Steel Structure Cross-Section Prediction by Donwoo Lee, Seunghyeon Noh, Jeonghyun Kim, Seungjae Lee

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A Secure and Efficient Framework for Multimodal Prediction Tasks in Cloud Computing with Sliding-Window Attention Mechanisms by Weiyuan Cui, Qianye Lin, Jiaqi Shi, Xingyu Zhou, Zeyue Li, Haoyuan Zhan, Yihan Qin, Chunli Lv

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Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors by Boryana Todorova, David Steyrl, Matthew J. Hornsey, Samuel Pearson, Cameron Brick, Florian Lange, Jay J. Van Bavel, Madalina Vlasceanu, Claus Lamm, Kimberly C. Doell

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Extracellular Volume Derived from Equilibrium CT for the Prediction of Survival Outcomes in Patients with Pancreatic Ductal Adenocarcinoma by Ju Xiong MS, Yunfeng Lu MS, Haotian Liu MS, Mengchu Ji MS, Zhiwei Zhang PhD, Yongmei Li PhD, Hongwei Liang MS

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Genetically predicted interleukin 7 levels and neuroblastoma risk combined with analysis of radiation therapy timing effects by Gang Rui, Ying Cheng, Qun Gao

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Using landscape and bioclimatic features to predict the distribution of lions, leopards and spotted hyaenas in Tanzania's Ruaha landscape. by Leandro Abade, David W Macdonald, Amy J Dickman

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Prediction of Temporal Liking from Temporal Dominance of Sensations by Using Reservoir Computing and Its Sensitivity Analysis by Hiroharu Natsume, Shogo Okamoto

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PVD-GSTPS: design of an efficient parallel vehicle detection based green signal time prediction system by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

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Tau seeding activity in the cerebrospinal fluid of Alzheimer disease patients predicts short-term cognitive decline by Ludivine Houzé, Marc Dhenain, Suzanne Lam, Fanny Petit, Stéphane Haïk, François Mouton-Liger, Jacques Hugon, Julie Dam, Claire Paquet, Ralf Jockers, Erika Cecon

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Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats by Jakob Steinfeldt, Benjamin Wild, Thore Buergel, Maik Pietzner, Julius Upmeier zu Belzen, Andre Vauvelle, Stefan Hegselmann, Spiros Denaxas, Harry Hemingway, Claudia Langenberg, Ulf Landmesser, John Deanfield, Roland Eils

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MicroRNA signature predicts post operative atrial fibrillation after coronary artery bypass grafting by Srinivasulu Yerukala Sathipati, Tonia Carter, Deepa Soodi, Nwaedozie Somto, Sanjay K Shukla, John Petronovich, Glurich Ingrid, John Braxton, Param Sharma

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Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty – a development and validation study by Benedikt Langenberger, Daniel Schrednitzki, Andreas Halder, Reinhard Busse, Christoph Pross

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