A5002299610- Diverse Industrial Engineering Technologies
- Industrial Engineering and Technologies
- Recycling and utilization of industrial and municipal waste in materials production
- Engineering and Environmental Studies
- Material Science and Thermodynamics
- Gene Regulatory Network Analysis
- Material Properties and Applications
- Iron and Steelmaking Processes
- Nuclear Materials and Properties
- Microbial Metabolic Engineering and Bioproduction
- Computational Drug Discovery Methods
- Molten salt chemistry and electrochemical processes
- Glass properties and applications
- Metallurgical Processes and Thermodynamics
- Metal Extraction and Bioleaching
- Mining and Gasification Technologies
- Catalytic Processes in Materials Science
- Catalysis and Oxidation Reactions
- Pigment Synthesis and Properties
- Graphite, nuclear technology, radiation studies
- Engineering Diagnostics and Reliability
- Adversarial Robustness in Machine Learning
- Advanced ceramic materials synthesis
- Aerosol Filtration and Electrostatic Precipitation
- Engineering Technology and Methodologies
University of Seoul
2023-2025
Inserm
2024
Centre National de la Recherche Scientifique
2024
Université de Montpellier
2024
D. Mendeleyev University of Chemical Technology of Russia
2014-2024
Ghent University Global Campus
2018-2023
Ghent University
2020-2023
Central Research Institute for Machine Building
2016-2018
National University of Science and Technology
2003-2004
Biochemical networks are models of biological functions and processes in biomedicine. Hierarchical decomposition simplifies complex biochemical by partitioning them into smaller blocks (modules), facilitating computationally intensive analyses providing deeper insights cellular regulatory mechanisms. We introduce a novel algorithm for the hierarchical large-scale systems. By using causality information flow as organizing principles, our approach combines strongly connected components with...
Human ingestion of microplastics (MPs) is common and inevitable due to the widespread contamination food items, but implications on gastric digestion proteins are still unknown. In this study, interactions between pepsin polystyrene (PS) MPs were evaluated by investigating enzyme activity conformation in a simulated human environment presence or absence PS MPs. The impact was also assessed monitoring kinetics protein hydrolysis through static vitro cow's milk contaminated with PS. binding...
Abstract Biological signalling systems are complex, and efforts to build mechanistic models must confront a huge parameter space, indirect incomplete data, frequently encounter multiscale multiphysics phenomena. We present HOSS, framework for Hierarchical Optimization of Systems Simulations, address such problems. HOSS operates by breaking down extensive into individual pathway blocks organized in nested hierarchy. At the first level, dependencies solely on inputs, subsequent levels rely...
We propose a new approach to the model reduction of biochemical reaction networks governed by various types enzyme kinetics rate laws with non-autocatalytic reactions, each which can be reversible or irreversible. This method extends for previously proposed Rao et al. proceeds step-wise in number complexes Kron weighted Laplacian corresponding complex graph network. The main idea current manuscript is based on rewriting mathematical network as consisting linkage classes that contain more...
In conditions of growing loads and temperatures on engineering products, the problem choosing efficient materials is relevant, especially in realities import substitution. One such tasks for modern science production high-temperature products special engineering, including complex shapes. Metal ceramic have a number unique properties, which, one hand, determine prospects their use construction other cause technological problems, without which operation extremely difficult. An analysis...
The current manuscript addresses the problem of parameter estimation for kinetic models chemical reaction networks from observed time series partial experimental data species concentrations. It is demonstrated how Kron reduction method models, in conjunction with (weighted) least squares optimization technique, can be used as a tool to solve above-mentioned ill-posed problem. First, new trajectory-independent measure introduced quantify dynamical difference between original mathematical...
We illustrate a new technique for the model reduction of biochemical reaction networks governed by any kind enzyme kinetics. Previously Rao et al. proposed method various reversible and irreversible extend ideas show how number variables in mathematical chemical network can be reduced using initial data from network. Moreover, outgoing fluxes forward direction remain unchanged compared to original one. then apply our an example, which encountered serious limitations.