Evaluation of vaginal microbiome equilibrium states identifies microbial parameters linked to resilience after menses and antibiotic therapy. by Christina Y Lee, Jenna Diegel, Michael T France, Jacques Ravel, Kelly B Arnold

“…Here, we use a computational model to determine whether differences in microbial growth and interaction parameters could alter equilibrium state accessibility and account for variability in community composition after menses and antibiotic therapies. …”
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Robust desynchronization of Parkinson's disease pathological oscillations by frequency modulation of delayed feedback deep brain stimulation. by Mohammad Daneshzand, Miad Faezipour, Buket D Barkana

“…Deep Brain Stimulation (DBS) via delayed feedback is known to destabilize the complex intermittent synchronous states. Computational models of the BG network are often introduced to investigate the effect of delayed feedback high frequency stimulation on partially synchronized dynamics. …”
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Efficient Equivalence Checking Technique for Some Classes of Finite-State Machines by Vladimir A. Zakharov

“…Finite transducers, two-tape automata, and biautomata are related computational models descended from the concept of Finite-State Automaton. …”
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A multi-state model of the CaMKII dodecamer suggests a role for calmodulin in maintenance of autophosphorylation. by Matthew C Pharris, Neal M Patel, Tyler G VanDyk, Thomas M Bartol, Terrence J Sejnowski, Mary B Kennedy, Melanie I Stefan, Tamara L Kinzer-Ursem

“…Increasingly, computational models are used to explore synaptic plasticity and the mechanisms regulating CaMKII activity. …”
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A model of bi-directional interactions between complementary learning systems for memory consolidation of sequential experiences by Michael D. Howard, Steven W. Skorheim, Praveen K. Pilly

“…We have developed a computational model of memory encoding, consolidation, and recall for storing temporal sequences that explores the dynamics of this bi-directional interaction and time-compressed replays in four simulation experiments, providing novel insights into whether hippocampal learning needs to be suppressed for stable memory consolidation and into how new and old memories compete for limited replay opportunities during offline periods. …”
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Kinome inhibition states and multiomics data enable prediction of cell viability in diverse cancer types. by Matthew E Berginski, Chinmaya U Joisa, Brian T Golitz, Shawn M Gomez

“…We describe the process by which we combined these data sets, examined their properties in relation to cell viability and finally developed a set of computational models that achieve a reasonably high prediction accuracy (R2 of 0.78 and RMSE of 0.154). …”
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Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources by Adam Krechowicz, Maria Krechowicz, Katarzyna Poczeta

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Computational aspects of feedback in neural circuits. by Wolfgang Maass, Prashant Joshi, Eduardo D Sontag

“…But even with noise, the resulting computational model can perform a large class of biologically relevant real-time computations that require a nonfading memory. …”
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Virtual Experiments Enable Exploring and Challenging Explanatory Mechanisms of Immune-Mediated P450 Down-Regulation. by Brenden K Petersen, Glen E P Ropella, C Anthony Hunt

“…So doing requires translating an accepted theory of immune system influence on P450 regulation into a computational model, and then challenging the model via in silico experiments. …”
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Volatile Memory Motifs: Minimal Spiking Neural Networks by Fabio Schittler Neves, Marc Timme

“…Smaller circuit motifs may play an important complementary role on shorter time scales, where broader network effects may be of less relevance. Yet, compact computational models of spiking neural networks that exhibit short-term volatile memory and actively hold information until their energy source is switched off, seem not fully understood. …”
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Editor’s Note by Paulo Alonso Gaona-García

“…For this reason, rigorous methods are increasingly required for the design and development of AI-based computational models; methods that involve strict mechanisms for their validation, as well as the analysis of possible risks and scope that they may have on the field of application where they are being exposed. …”
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Efficient reverse-engineering of a developmental gene regulatory network. by Anton Crombach, Karl R Wotton, Damjan Cicin-Sain, Maksat Ashyraliyev, Johannes Jaeger

“…Understanding the complex regulatory networks underlying development and evolution of multi-cellular organisms is a major problem in biology. Computational models can be used as tools to extract the regulatory structure and dynamics of such networks from gene expression data. …”
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Identification of Boolean Network Models From Time Series Data Incorporating Prior Knowledge by Thomas Leifeld, Zhihua Zhang, Ping Zhang

“…The proposed approach is illustrated with the help of a biological model of the network of oxidative stress response.Conclusions: The combination of efficient reformulation of the identification problem with the possibility to incorporate various types of prior knowledge enables the application of computational model inference to systems with limited amount of time series data. …”
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A Web-Based Synchronized Architecture for Collaborative Dynamic Diagnosis and Therapy Planning by Qi Zhang

“…The presented computational models and software architecture create a new vehicle for collaborative exploration and manipulation of dynamic volumetric medical datasets.…”
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Light-assisted ozone gas-sensing performance of SnO2 nanoparticles: Experimental and theoretical insights by João V.N. de Palma, Ariadne C. Catto, Marisa C. de Oliveira, Renan A.P. Ribeiro, Marcio D. Teodoro, Luís F. da Silva

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Blockchain-Enabled: Multi-Layered Security Federated Learning Platform for Preserving Data Privacy by Zeba Mahmood, Vacius Jusas

“…FL protects data privacy and reduces data transfer overhead by storing raw data on devices and combining locally computed model updates. We have investigated the feasibility of data and model poisoning attacks under a blockchain-enabled FL system built alongside the Ethereum network and the traditional FL system (without blockchain). …”
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Problematic issues of using the toolkit of economic cybernetics by V. Persianov, A. Kurbatova

“…Agreeing, that setting limits to the possibilities of computer modeling in advance is impossible, it must be recognized, that the machines created by cybernetics, remain only an objectification – a “truncated” (incomplete) form of any kind of human activity, including management (purposing, selection of criteria, decision-making, etc.).The goal setting requires at least a normal human intelligence. …”
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Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields by Leonardo Goliatt, C.M. Saporetti, L.C. Oliveira, E. Pereira

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High-Order Deterministic Sensitivity Analysis and Uncertainty Quantification: Review and New Developments by Dan Gabriel Cacuci

“…This work also presents new mathematical expressions that extend to the sixth-order of the current state-of-the-art fourth-order formulas for computing fourth-order correlations among computed model response and model parameters. Another novelty presented in this work is the mathematical framework of the 3rd-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (3rd-CASAM-N), which enables the most efficient computation of the exact expressions of the 1st-, 2nd- and 3rd-order functional derivatives (“sensitivities”) of a model’s response to the underlying model parameters, including imprecisely known initial, boundary and/or interface conditions. …”
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A stochastic algorithm for accurately predicting path persistence of cells migrating in 3D matrix environments. by Benjamin Michael Yeoman, Parag Katira

“…Mobility within a three-dimensional (3D) matrix environment can be characterized by the average velocity of cell migration and the persistence length of the path it follows. Computational models that aim to predict cell migration within such 3D environments need to be able predict both of these properties as a function of the various cellular and extra-cellular factors that influence the migration process. …”
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