JSim is a simulation system for developing models, designing experiments, and evaluating hypotheses on physiological and pharmacological systems through the testing of model solutions against data. It is designed for interactive, iterative manipulation of the model code, handling of multiple data sets and parameter sets, and for making comparisons among different models running simultaneously or separately. Interactive use is supported by a large collection of graphical user interfaces for model writing and compilation diagnostics, defining input functions, model runs, selection of algorithms solving ordinary and partial differential equations, run-time multidimensional graphics, parameter optimization (8 methods), sensitivity analysis, and Monte Carlo simulation for defining confidence ranges. JSim uses Mathematical Modeling Language (MML) a declarative syntax specifying algebraic and differential equations. Imperative constructs written in other languages (MATLAB, FORTRAN, C++, etc.) are accessed through procedure calls. MML syntax is simple, basically defining the parameters and variables, then writing the equations in a straightforward, easily read and understood mathematical form. This makes JSim good for teaching modeling as well as for model analysis for research. For high throughput applications, JSim can be run as a batch job. JSim can automatically translate models from the repositories for Systems Biology Markup Language (SBML) and CellML models. Stochastic modeling is supported. MML supports assigning physical units to constants and variables and automates checking dimensional balance as the first step in verification testing. Automatic unit scaling follows, e.g. seconds to minutes, if needed. The JSim Project File sets a standard for reproducible modeling analysis: it includes in one file everything for analyzing a set of experiments: the data, the models, the data fitting, and evaluation of parameter confidence ranges. JSim is open source; it and about 400 human readable open source physiological/biophysical models are available at http://www.physiome.org/jsim/.
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http://dx.doi.org/10.12688/f1000research.2-288.v1 | DOI Listing |
Intern Med
December 2024
Department of Cardiovascular Medicine, Nippon Medical School, Japan.
The year 2023 marked a significant change for Internal Medicine, as the number of submissions related to the novel coronavirus infection (COVID-19) declined significantly and interest shifted to other disease fields and research areas. Our journal published its first articles on artificial intelligence (AI) and machine learning (ML), and these articles have shown that AI may be useful for the early detection of potential cardiac diseases, while ML can be used to predict the risk of serious illness in patients hospitalized with COVID-19, providing new possibilities for diagnoses and treatment. In addition to touching on the above, the present article also highlights the status of submissions to the journal (including the number of submissions and acceptance rate) in 2023.
View Article and Find Full Text PDFChem Biol Interact
March 2024
College of Pharmacy, Chungnam National University, Daejeon, 34134, Republic of Korea. Electronic address:
This study delves into the intricate mechanisms underlying drug-induced liver injury (DILI) with a specific focus on bromfenac, the withdrawn nonsteroidal anti-inflammatory drug. DILI is a pervasive concern in drug development, prompting market withdrawals and posing significant challenges to healthcare. Despite the withdrawal of bromfenac due to DILI, the exact role of its microsomal metabolism in inducing hepatotoxicity remains unclear.
View Article and Find Full Text PDFJ Phys Chem B
November 2023
Department of Chemical Engineering, The University of Melbourne, Parkville, Melbourne, VIC 3052, Australia.
The homogeneous nucleation of N and O in cryogenic H and He is investigated by using classical molecular dynamics (MD) simulations. The nucleation kinetics of N and O clusters, including nucleation rate, critical cluster size, and cluster energy, are elucidated in H and He carrier gas at thermalization temperatures of 30-80 K and initial gas densities of 5.65 × 10-2 × 10 m.
View Article and Find Full Text PDFIntern Med
December 2023
Department of Cardiovascular Medicine, Nippon Medical School, Japan.
RSC Adv
February 2022
C1 Gas & Carbon Convergent Research, Korea Research Institute of Chemical Technology (KRICT) 141 Gajeong-ro Yuseong-Gu Daejeon 34114 Republic of Korea
To increase the energy density of today's batteries, studies on adding Si-based materials to graphite have been widely conducted. However, adding a Si-based material in the slurry mixing step suffers from low distribution due to the self-aggregation property of the Si-based material. Herein, a hierarchical structure is proposed to increase the integrity by using APS to provide a bonding effect between graphite and SiO .
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