Integrating a dynamic central metabolism model of cancer cells with a hybrid 3D multiscale model for vascular hepatocellular carcinoma growth.

We develop here a novel modelling approach with the aim of closing the conceptual gap between tumour-level metabolic processes and the metabolic processes occurring in individual cancer cells. In particular, the metabolism in hepatocellular carcinoma derived cell lines (HEPG2 cells) has been well characterized but implementations of multiscale models integrating this known metabolism have not been previously reported. We therefore extend a previously published multiscale model of vascular tumour growth, and integrate it with an experimentally verified network of central metabolism in HEPG2 cells.

AFFECTIVE-COGNITIVE INDICATOR OF EMOTIONAL INTELLIGENCE FORMEDNESS IN HIGH SCHOOLERS WITH INTELLECTUAL DISABILITIES.

Objective: The aim is to determine the peculiarities of the affective-cognitive indicator of emotional intelligence in high schoolers with intellectual disabilities.

Patients And Methods: Materials and methods: The study, which was conducted during 2019-2020, involved 76 high schoolers in the age of 14-17 who studied in the 7-9th grades in Kyiv schools (Ukraine) (45 high schoolers with intellectual disabilities and 31 high schoolers with normative development). The diagnosis of the high schoolers' ability to perceive, understand and identify emotions; to assimilate emotions in thoughts, to stimulate thought processes with the help of emotions was carried out.

Synergistically applying 1-D modeling and CFD for designing industrial scale bubble column syngas bioreactors.

The reduction of greenhouse gas emissions and future perspectives of circular economy ask for new solutions to produce commodities and fine chemicals. Large-scale bubble columns operated by gaseous substrates such as CO, CO, and H to feed acetogens for product formations could be promising approaches. Valid in silico predictions of large-scale performance are needed to dimension bioreactors properly taking into account biological constraints, too.

N-Thiazolylamide-based free fatty-acid 2 receptor agonists: Discovery, lead optimization and demonstration of off-target effect in a diabetes model.

Free fatty acid-2 (FFA2) receptor is a G-protein coupled receptor of interest in the development of therapeutics in metabolic and inflammatory disease areas. The discovery and optimization of an N-thiazolylamide carboxylic acid FFA2 agonist scaffold is described. Dual key objectives were to i) evaluate the potential of this scaffold for lead optimization in particular with respect to safety de-risking physicochemical properties, i.