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Fraser King, Miroslav Kolàr, Scott Briggs, Mehran Behazin, Peter Keech and Nikitas Diomidis
The disposal of high-level radioactive waste (HLW) and spent nuclear fuel (SF) presents a unique challenge for the prediction of the long-term performance of corrodible structures since HLW/SF containers are expected, in some cases, to have lifetimes of ...
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Z. Jason Hou, Nicholas D. Ward, Allison N. Myers-Pigg, Xinming Lin, Scott R. Waichler, Cora Wiese Moore, Matthew J. Norwood, Peter Regier and Steven B. Yabusaki
The influence of coastal ecosystems on global greenhouse gas (GHG) budgets and their response to increasing inundation and salinization remains poorly constrained. In this study, we have integrated an uncertainty quantification (UQ) and ensemble machine ...
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Chunru Cheng, Linbing Wang, Xingye Zhou and Xudong Wang
As the main cause of asphalt pavement distress, rutting severely affects pavement safety. Establishing an accurate rutting prediction model is crucial for asphalt pavement maintenance, pavement structure design, and pavement repair. This study explores f...
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Letícia Reggiane de Carvalho Costa, Ivone Vanessa Jurado-Davila, Júlia Toffoli De Oliveira, Keila Guerra Pacheco Nunes, Diego Cardoso Estumano, Robson Alves de Oliveira, Elvis Carissimi and Liliana Amaral Féris
Water pollution, particularly from elevated fluoride ion (F-) concentrations, is a significant challenge in many developing countries, particularly those relying on groundwater. The stable form of fluoride, F-, poses health risks, leading to concerns abo...
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José Pinto, João R. C. Ramos, Rafael S. Costa and Rui Oliveira
In this paper, a computational framework is proposed that merges mechanistic modeling with deep neural networks obeying the Systems Biology Markup Language (SBML) standard. Over the last 20 years, the systems biology community has developed a large numbe...
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Dmitry Grebennikov, Rostislav Savinkov, Ekaterina Zelenova, Gennady Lobov and Gennady Bocharov
Animal models of diseases, particularly mice, are considered to be the cornerstone for translational research in immunology. The aim of the present study is to model the geometry and analyze the network structure of the murine lymphatic system (LS). The ...
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Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez and Susan A. Murphy
Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in designing and testing an RL algorithm in these settings include ensuring th...
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Anna Procopio, Salvatore De Rosa, Francesco Montefusco, Giovanni Canino, Alessio Merola, Jolanda Sabatino, Claudia Critelli, Ciro Indolfi, Francesco Amato and Carlo Cosentino
The release of the cardiac troponin T (cTnT) in patients with acute myocardial infarction (AMI) has been analyzed through a methodology based on nonlinear mixed-effects (NME) models. The aim of this work concerns the investigation of any possible relatio...
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Changwon Yoo, Efrain Gonzalez, Zhenghua Gong and Deodutta Roy
Every year, biomedical data is increasing at an alarming rate and is being collected from many different sources, such as hospitals (clinical Big Data), laboratories (genomic and proteomic Big Data), and the internet (online Big Data). This article prese...
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Konstantinos Gkyrtis, Christina Plati and Andreas Loizos
Modern roadways provide road users with a comfortable and safe ride to their destinations. Due to increasing traffic demands and maximum allowable loads, road authorities should also pay attention to the structural soundness of road pavements while seeki...
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