A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information by Claudia Silva-Andrade, Sergio Hernández, Pedro Saa, Ernesto Perez-Rueda, Daniel Garrido, Alberto J. Martin

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Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method by Suha Falih Mahdi Alazawy, Mohammed Ali Ahmed, Saja Hadi Raheem, Hamza Imran, Luís Filipe Almeida Bernardo, Hugo Alexandre Silva Pinto

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The association of Whole and Segmental Body Composition and Anaerobic Performance in Crossfit® athletes: sex differences and performance prediction by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Dominguez, Javier Benítez-Porres

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Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels by Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Szabolcs Szávai, Gyula Varga

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AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses by Saram Abbas, Rishad Shafik, Naeem Soomro, Rakesh Heer, Rakesh Heer, Kabita Adhikari

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Predicting immunotherapy response of advanced bladder cancer through a meta-analysis of six independent cohorts by Lilian Marie Boll, Sergio Vázquez Montes de Oca, Marta E. Camarena, Robert Castelo, Joaquim Bellmunt, Júlia Perera-Bel, M. Mar Albà

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MVHGCN: Predicting circRNA-disease associations with multi-view heterogeneous graph convolutional neural networks. by Yan Miao, Xuan Tang, Chunyu Wang, Zhenyuan Sun, Guohua Wang, Shan Huang

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The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context  by Olga Obraztsova, Tatiana Poliakova, Ekaterina Popovskaya

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Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

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Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study. by Elodie Germani, Nikhil Bhagwat, Mathieu Dugré, Rémi Gau, Albert A Montillo, Kevin P Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard

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Predicting maintenance lithium response for bipolar disorder from electronic health records—a retrospective study by Joseph F. Hayes, Fehmi Ben Abdesslem, Sandra Eloranta, David P. J. Osborn, Magnus Boman

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Computational analysis of ABL kinase mutations allows predicting drug sensitivity against selective kinase inhibitors by Swapna Kamasani, Sravani Akula, Sree Kanth Sivan, Vijjulatha Manga, Justus Duyster, Dashavantha Reddy Vudem, Rama Krishna Kancha

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A new nomogram for predicting 90-day outcomes of intravenous thrombolysis in patients with acute ischaemic stroke by Yingjie Zhao, Rui Zhang, Pan Li, Zhen Zhang, Huan Yu, Zhaoya Su, Yandong Xia, Aiguo Meng

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Detection of Dairy Herd Management Issues Using Fatty Acid Profiles Predicted by Mid-Infrared Spectrometry by Sébastien Franceschini, Claire Fastré, Charles Nickmilder, Débora E. Santschi, Daniel Warner, Mazen Bahadi, Carlo Bertozzi, Didier Veselko, Frédéric Dehareng, Nicolas Gengler, Hélène Soyeurt

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Algorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding by Zoran Peric, Bojan Denic, Vladimir Despotovic

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Using pet insurance claims to predict occurrence of vector-borne and zoonotic disease in humans in the United States by Janice O’Brien, Aliya McCullough, Christian Debes, Audrey Ruple

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Predicting EMI in UAVs using characteristic mode analysis: a case study of the DJI Phantom 4 by Zeinab Jalali, Seyed Mohamad Hashemi, Alireza Sadeqi, V. Mashayekhi, Javad Ghalibafan

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An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers by Dhruva Darshan B S, Punit Sharma, Krishnaraj Chadaga, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Srikanth Prabhu, Swathi K S

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Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? by Gleb DANILOV, Andrey POSTNOV, Diana KALAEVA, Nina VIKHROVA, Tatyana KOBYAKOVA

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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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