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A Multimethodology for Supporting the Boundary Selection of System Dynamics Models
Leandro Duarte dos Santos, Sandro Schlindwein, Erwin Filho, Caroline Vaz, Mauricio Maldonado, Alfredo Fantini, Mischel Belderrain
Oct 01, 2021
System dynamics models can produce knowledge for decision-makers and, consequently, provide better choices. To be effective in its purpose, a model must reproduce an observed problem situation effectively. Hence, the...
Published by: IGI Global
A Bayesian Probability Model Can Simulate the Knowledge of Soybean Rust Researchers to Optimize the Application of Fungicides
Asian rust is the main soybean disease in Brazil, causing up to 80% of yield reduction. The use of fungicides is the main form of control; however, due to farmer's concern with outbreaks many unnecessary applications are...
Environmental Technologies Environmental, Agricultural, and Physical Sciences Environmental Science and Technologies
Published by: IGI Global
The CAMELS Project
Abstract
The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological...
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G Mohammad, Sultan Hassan, Emily Moser, Erwin T Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver HE Philcox, Benjamin D Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze WK Wong, William R Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin Wandelt, Rachel S Somerville, Greg L Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Federico Marinacci, Mark Vogelsberger
Apr 06, 2023
Circulating proteins to predict COVID-19 severity
Abstract Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances...
Chen-Yang Su, Sirui Zhou, Edgar Gonzalez-Kozlova, Guillaume Butler-Laporte, Elsa Brunet-Ratnasingham, Tomoko Nakanishi, Wonseok Jeon, David R Morrison, Laetitia Laurent, Jonathan Afilalo, Marc Afilalo, Danielle Henry, Yiheng Chen, Julia Carrasco-Zanini, Yossi Farjoun, Maik Pietzner, Nofar Kimchi, Zaman Afrasiabi, Nardin Rezk, Meriem Bouab, Louis Petitjean, Charlotte Guzman, Xiaoqing Xue, Chris Tselios, Branka Vulesevic, Olumide Adeleye, Tala Abdullah, Noor Almamlouk, Yara Moussa, Chantal DeLuca, Naomi Duggan, Erwin Schurr, Nathalie Brassard, Madeleine Durand, Diane Marie Del Valle, Ryan Thompson, Mario A Cedillo, Eric Schadt, Kai Nie, Nicole W Simons, Konstantinos Mouskas, Nicolas Zaki, Manishkumar Patel, Hui Xie, Jocelyn Harris, Robert Marvin, Esther Cheng, Kevin Tuballes, Kimberly Argueta, Ieisha Scott, Celia MT Greenwood, Clare Paterson, Michael A Hinterberg, Claudia Langenberg, Vincenzo Forgetta, Joelle Pineau, Vincent Mooser, Thomas Marron, Noam D Beckmann, Seunghee Kim-schulze, Alexander W Charney, Sacha Gnjatic, Daniel E Kaufmann, Miriam Merad, J Brent Richards
Apr 17, 2023