There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

https://link.springer.com/content/pdf/10.1007%2Fs11538-016-0214-9.pdf

Mathematical Models for Immunology: Current State of the Art and Future Research Directions.

INTRODUCTION Single Stressor Studies Multiple Stressor Studies Types of Combination Effects Examples of Combination Effects

/pdf/effects-of-toxic-stimuli-combinations-on-determination-of-4qemacza7l.pdf

Effects of Toxic Stimuli Combinations on Determination of Exposure Limits

Determination of food toxic compounds is one of the significant strategies for investigating food quality. The presence research introduces an electrochemical approach for toxic ractopamine sensing using a gold electrode amplified with gold nanoparticles (Au-Nps/AuME). The oxidation signal of ractopamine was investigated at the surface of Au-Nps/AuME, and results showed a 2.36-fold amplification in current and reducing 100 mV in oxidation potential compare to the pristine gold electrode. The redox reaction of ractopamine shows a pH dependence behavior with two electrons and two protons. Furthermore, the scan rate and chronoamperometric investigation showed a diffusion coefficient of 1.0 × 10−6 cm2/s to the oxidation reaction of ractopamine at the surface of Au-Nps/AuME. Analytical investigation showed a linear dynamic range of 0.1–380 µM for sensing of ractopamine using square wave voltammetric technique. Also, Au-Nps/AuME could be used to measure ractopamine in food samples such as pork samples with a recovery range of 98.3–103.9% and a detection limit of 50 nM.

An electrochemical strategy for toxic ractopamine sensing in pork samples; twofold amplified nano-based structure analytical tool

Strontium enhances osteogenic differentiation of mesenchymal stem cells and in vivo bone formation by activating Wnt/catenin signaling

Long-term or permanent chemical ambient air pollution in residential areas is among priority factors that cause medical and demographic losses. It is necessary to achieve greater precision when assessing risks of changes in homeostasis at their early reversible stage (molecular level). These changes are highly likely to transform into pathological processes at an older age in case the exposure persists. Our research goal was to create a bioinformatics matrix of molecular markers to predict risk-associated health disorders (exemplified by a marker of exposure). We introduced a stepwise research algorithm that involved using the proteome technology to identify expressed proteins and cause-effect relations between them and influencing factors; revealing molecular-cellular and functional relationships within the “exposure factor – gene – protein – negative outcome” system to predict risk-associated health disorders. The algorithm was implemented to examine the proteomic blood plasma profile of children aged 3–6 years living under long-term aerogenic exposure to fluoride-containing compounds. We established certain changes in the proteomic profiles of the exposed children in comparison with non-exposed ones as per 27 identified proteins. A bioinformatics matrix was created on the example of cathepsin L1; we established that changes in the level of this protein had a cause-effect relationship with fluoride ion concentrations in urine. Qualitative synthesis of molecular-cellular localization, functional and tissue belonging showed that cathepsin L1 expression caused by elevated fluoride ion levels in urine could affect extracellular matrix remodeling, degradation and post-translation modification of proteins in cells of the lungs, large intestine, and pancreas, in cardiomyocytes and in glomerular podocytes. It also mediated proteolysis of the subunits of the SARS-CoV-2 S1 protein necessary for the virus penetration into a cell and its replication. This created bioinformatics matrix exemplified by cathepsin L1 made it possible to predict risk-associated negative outcomes in exposed people including cardiomyopathy, colitis, glomerulonephritis, diabetes mellitus, atherosclerosis, and coronavirus infection. These predictive estimates raise effectiveness of early detection and development of preventive measures aimed at minimizing possible negative outcomes.

Creating bioinformatics matrix of molecular markers to predict risk-associated health disorders

Indicators of Immune and Neurohumoral Profile in Women of Fertile Age with Functional Disorders of the Autonomic Nervous System Associated with Polymorphic Variants of the HTR2A (rs7997012) and TP53 (rs1042522) Genes

This work is devoted to a problem of creation of a multiphase flow model in an antroduodenum that includes the lower part of the stomach and the upper part of the small intestine (duodenum). The mathematical model is developed for the next purposes: description of the process of digestion in normal physiological state and with functional disorders, prediction of the flow characteristics in distinct conditions. The antroduodenum is considered as a complex form canal with moving boundaries. The mathematical statement of the problem includes mass and momentum conservation equations for phases and components as well as initial and boundary conditions with peristaltic movement. To describe secretion and absorption processes we use mass sources/sinks in a layer adjacent to the tract wall. Using computational simulation we got the digestion processes characteristics in dynamic: pH of the medium, components and phases velocities and fractions. In some scenarios with secretory and motor disorders we identified zones of abnormal acidity. The results of the simulation showed that motor functionality of the antrum and pyloric sphincter affect the stomach evacuation. Additionally, the chemical absorption rate is analyzed in scenarios with distinct food parameters (size, viscosity, density).

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A multiphase flow in the antroduodenum: some results of the mathematical modelling and computational simulation

A.Yu. Popova1, N.V. Zaitseva2, G.V. Karpushchenko3 Russian Medical Academy of Postgraduate Education, 2/1 Barrikadnaya Str., Moscow, 123995, Russian Federation Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 82 Monastyrskaya Str., Perm, 614045, Russian Federation Hygiene and Epidemiology Center in Rostov region, 67 7th line Str., Rostov-on-Don, 344019, Russian Federation

/pdf/scientific-and-methodological-aspects-of-labpratory-support-1yyzwyhzaj.pdf

Scientific and methodological aspects of labpratory support aimed at providing chemical safety during internaitonal mass events

The authors evaluated and justified immunologic and genetic markers under combined exposure to risk factors in mining industry workers. Analysis covered polymorphism features of 29 genes with variant alleles possibly participating in occupationally conditioned diseases formation and serving as sensitivity markers of these diseases risk. The genes association selected demonstrates reliably changed polymorphism vs. the reference group (SOD2 superoxidedismutase gene, ANKK1 dophamine receptor gene, SULT1A1 sulphtransaminase gene, MTHFR methylene tetrahydrofolate reductase gene, VEGF endothelial growth factor gene, TNF-alpha tumor necrosis factor gene). Under combined exposure to occupational hazards (sylvinite dust, noise) in mining industry, this association can serve as adequate marking complex of sensitivity to development of occupationally conditioned diseases. Increased-production of immune cytokine regulation markers: tumor necrosis factor and vascular endothelial growth factor. Genes SOD2, ANKK1, SULT1A1, VEGF, TNFalpha are recommended as sensitivity markers, and the coded cytokines (tumor necrosis factor and endothelial growth factor) are proposed as effect markers in evaluation of health risk for workers in mining industry.

Nina V. Zaitseva

Papers

Creating bioinformatics matrix of molecular markers to predict risk-associated health disorders

Indicators of Immune and Neurohumoral Profile in Women of Fertile Age with Functional Disorders of the Autonomic Nervous System Associated with Polymorphic Variants of the HTR2A (rs7997012) and TP53 (rs1042522) Genes

A multiphase flow in the antroduodenum: some results of the mathematical modelling and computational simulation

Scientific and methodological aspects of labpratory support aimed at providing chemical safety during internaitonal mass events

Justifying genetic and immune markers of efficiency and sensitivity under combined exposure to risk factors in mining industry workers