A framework for multi-scale intervention modeling: virtual cohorts, virtual clinical trials, and model-to-model comparisons by Christian T. Michael, Christian T. Michael, Sayed Ahmad Almohri, Jennifer J. Linderman, Denise E. Kirschner

“…Computational models of disease progression have been constructed for a myriad of pathologies. …”
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Integrated algorithm combining plasma biomarkers and cognitive assessments accurately predicts brain β-amyloid pathology by Fengfeng Pan, Yanlu Huang, Xiao Cai, Ying Wang, Yihui Guan, Jiale Deng, Dake Yang, Jinhang Zhu, Yike Zhao, Fang Xie, Zhuo Fang, Qihao Guo

“…Data-driven integrated computational models were developed to predict brain β-amyloid (Aβ) pathology. …”
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A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network. by Shuai Zou, Jingpu Zhang, Zuping Zhang

“…In conclusion, our method can be considered as an effective computational model for predicting novel microbe-disease associations.…”
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A Guided Tutorial on Modelling Human Event-Related Potentials with Recurrent Neural Networks by Jamie A. O’Reilly, Jordan Wehrman, Paul F. Sowman

“…In cognitive neuroscience research, computational models of event-related potentials (ERP) can provide a means of developing explanatory hypotheses for the observed waveforms. …”
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Optimization of Genetic Algorithm through Use of Back Propagation Neural Network in Forecasting Smooth Wall Blasting Parameters by Ying Chen, Shirui Chen, Zhengyu Wu, Bing Dai, Longhua Xv, Guicai Wu

“…Against the above issue, a genetic algorithm (GA) and back propagation (BP) neural network-based computational model for SWB design parameter optimization is proposed. …”
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CALCULATION MODEL OF THE SYSTEM OF THERMAL STABILIZATION OF THE ELEMENTS OF RADIO ELECTRONIC EQUIPMENT by T. A. Ismailov, A. M. Ibragimova

“…A computational model of the REA thermostabilization system based on the use of working substances with a stable melting point has been created. …”
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A Hardware Architecture of a Counter-Based Entropy Coder by Armein Z R Langi

“…The design focuses on an RTL computing model and architecture, utilizing 8-bit buffers, adders, registers, loader-shifters, select-logics, down-counters, up-counters, and multiplexers. …”
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Proglumide Reverses Nonalcoholic Steatohepatitis by Interaction with the Farnesoid X Receptor and Altering the Microbiome by Martha D. Gay, Hong Cao, Narayan Shivapurkar, Sivanesan Dakshanamurthy, Bhaskar Kallakury, Robin D. Tucker, John Kwagyan, Jill P. Smith

“…Proglumide’s interaction at FXR was evaluated by computer modeling, a luciferase reporter assay, and tissue FXR expression. …”
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A computational account of how individuals resolve the dilemma of dirty money by Jenifer Z. Siegel, Elisa van der Plas, Felix Heise, John A. Clithero, M. J. Crockett

“…Here, we use behavioral experiments and computational modeling to test the valuation conflict account and unveil the cognitive computations employed when deciding whether to accept or reject morally tainted cash. …”
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Modeling flow in an in vitro anatomical cerebrovascular model with experimental validation by Saurabh Bhardwaj, Brent A. Craven, Jacob E. Sever, Francesco Costanzo, Francesco Costanzo, Scott D. Simon, Keefe B. Manning, Keefe B. Manning

“…This work provides an in vitro benchmark data set for flow in a realistic cerebrovascular model and is a first step towards validating a computational model of AIS.…”
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Morphophenotypic classification of tumor organoids as an indicator of drug exposure and penetration potential. by Aleksandra Karolak, Sharan Poonja, Katarzyna A Rejniak

“…Using a three-dimensional, agent-based, lattice-free computational model, we generated a library of multicellular tumor organoids, the experimental analogues of in vivo tumors. …”
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EARS-DM: Efficient Auto Correction Retrieval Scheme for Data Management in Edge Computing by Kai Fan, Jie Yin, Kuan Zhang, Hui Li, Yintang Yang

“…The edge computing model can effectively reduce the pressure on the cloud computing center and lower the network bandwidth consumption. …”
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Quantifying OH radical generation in hydrodynamic cavitation via coumarin dosimetry: Influence of operating parameters and cavitation devices by Sebastien J. De-Nasri, Varaha P. Sarvothaman, Sanjay Nagarajan, Panagiotis Manesiotis, Peter K.J. Robertson, Vivek V. Ranade

“…The presented results will be useful for evaluating computational models and stimulate further development of predictive computational models in this challenging area.…”
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Imagery in the entropic associative memory by Luis A. Pineda, Rafael Morales

“…Abstract The Entropic Associative Memory is a novel declarative and distributed computational model of associative memory. The model is general, conceptually simple, and offers an alternative to models developed within the artificial neural networks paradigm. …”
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In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review by Alia Rahmi, Jayashree Arcot

“…Software and online tools were used in bioactivity prediction and computational modelling. The identification of the types and locations of chemical interactions between the inhibitor peptides and enzymes and the type of enzyme inhibition were achieved through computational modelling and enzyme kinetic studies.…”
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Removal of reinforcement improves instrumental performance in humans by decreasing a general action bias rather than unmasking learnt associations. by Hannah Kurtenbach, Eduard Ort, Monja Isabel Froböse, Gerhard Jocham

“…Specifically, we tested whether performance during learning was improved during non-reinforced relative to reinforced task periods using signal detection theory and a computational modelling approach. To this end, 60 healthy volunteers performed a novel visual go/no-go learning task with deterministic reinforcement. …”
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KATZNCP: a miRNA–disease association prediction model integrating KATZ algorithm and network consistency projection by Min Chen, Yingwei Deng, Zejun Li, Yifan Ye, Ziyi He

“…Results In this research, a federated computational model KATZNCP was proposed on the basis of the KATZ algorithm and network consistency projection to infer the potential miRNA–disease associations. …”
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Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data by Jiarui Feng, Jennifer Lee, Zachary A. Vesoulis, Fuhai Li

“…However, there is a lack of established computational models for this specific task. In this study, we developed a novel deep learning model, DeepPBSMonitor (Deep Preterm Birth Survival Risk Monitor), to predict the mortality risk of preterm infants during initial NICU hospitalization. …”
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Sevoflurane Effects on Neuronal Energy Metabolism Correlate with Activity States While Mitochondrial Function Remains Intact by Mathilde Maechler, Jörg Rösner, Iwona Wallach, Joerg R. P. Geiger, Claudia Spies, Agustin Liotta, Nikolaus Berndt

“…Integration of experimental data and computer modeling revealed no evidence for a direct effect of sevoflurane on key enzymes of the citric acid cycle or oxidative phosphorylation. …”
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MODEL OF A MATRIX CROSSCORRELATION FUNCTION OF THE PROBING AND REFLECTED VECTOR SIGNALS FOR A CONCEPTUAL DESIGN OF A SYNTHETIC APERTURE RADAR ON AN AERIAL CARRIER by R. N. Akinshin, O. V. Esikov, D. A. Zatuchny, A. V. Peteshov

“…In order to simulate the process of design development in full on computer models, including virtual tests of the synthetic aperture radar on an air carrier in model media, the study develops a structural scheme of the conceptual design of the synthetic aperture radar on an air carrier. …”
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