Nina V. Zaitseva

Bio: Nina V. Zaitseva is an academic researcher. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 7, co-authored 54 publications receiving 137 citations.

A Multiphase Flow in the Antroduodenal Portion of the Gastrointestinal Tract: A Mathematical Model

Abstract: A group of authors has developed a multilevel mathematical model that focuses on functional disorders in a human body associated with various chemical, physical, social, and other factors. At this point, the researchers have come up with structure, basic definitions and concepts of a mathematical model at the “macrolevel” that allow describing processes in a human body as a whole. Currently we are working at the “mesolevel” of organs and systems. Due to complexity of the tasks, this paper deals with only one meso-fragment of a digestive system model. It describes some aspects related to modeling multiphase flow in the antroduodenal portion of the gastrointestinal tract. Biochemical reactions, dissolution of food particles, and motor, secretory, and absorbing functions of the tract are taken into consideration. The paper outlines some results concerning influence of secretory function disorders on food dissolution rate and tract contents acidity. The effect which food density has on inflow of food masses from a stomach to a bowel is analyzed. We assume that the future development of the model will include digestive enzymes and related reactions of lipolysis, proteolysis, and carbohydrates breakdown.

Social and economic determinants and potential for growth in life expectancy of the population in the russian federation taking into account regional differentiation

Abstract: The current work supplements the results obtained in previous research on a relation between leading parameters of living conditions and life expectancy of the RF population;it dwells on the results obtained via analyzing a role played by sanitary and epidemiologic determinants A sanitary-epidemiologic situation in certain RF regions is unfavorable and it makes our research truly vital;it is also necessary to work out and implement activities aimed at eliminating or minimizing adverse environmental factors that can produce negative effects on demographic situation in the country Our primary goal was to study impacts exerted by sanitary-epidemiologic parameters on life expectancy in the RF and to obtain predicted values for its growth taking into account regional and sex differentiation We examined domestic and foreign experience in researching relations between sanitary-epidemiologic welfare and life expectancy All the RF regions were distributed into three clusters as per their sanitary-epidemiologic welfare The third cluster that includes 11 regions is in much greater need for implementing activities aimed at reducing environmental contamination Results obtained via regression and factor analysis revealed that should there be a scenario with an improvement in sanitary-epidemiologic parameters (by 10 0 %), the overall life expectancy for the RF population would increase by 140 39 days An improvement in sanitary-epidemiologic situation taken as per sex differentiation indicated that a greater impact was expected on life expectancy growth among male population, as it would increase by 146 9 days (by 117 6 days for female population) We established that several parameters made the greatest contribution into life expectancy growth;they were “A share of population provided with high quality drinking water” (61 65 days);“Physical factors existing at workplaces” (35 83 days), “Sanitary-hygienic characteristics of objects under surveillance” (15 16 days), and “Sanitary-epidemiologic parameters of ambient air” (14 26 days) The current work does not cover extreme sanitary-epidemiologic situations related to pandemic spread of new infectious agents causing highly contagious diseases (Coronavirus infection) ДоÐ?олненN‹ N€ÐµÐ·NƒÐ»NŒN‚аN‚N‹ N€Ð°Ð½ÐµÐµ вN‹Ð?олненнN‹N… иNNÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹ NÐ²NÐ·Ð¸ междNƒ ведNƒN‰Ð¸Ð¼Ð¸ Ð?оÐoазаN‚елNÐ¼Ð¸ NƒNÐ»Ð¾Ð²Ð¸Ð¹ жизни и ожидаемой Ð?N€Ð¾Ð´Ð¾Ð»Ð¶Ð¸N‚елNŒÐ½Ð¾NN‚NŒNŽ жизни (ОПЖ) наNÐµÐ»ÐµÐ½Ð¸N РФ Ð?N€Ð¸ N€Ð¾Ð¶Ð´ÐµÐ½Ð¸Ð¸ и оN‚N€Ð°Ð¶ÐµÐ½N‹ N€ÐµÐ·NƒÐ»NŒN‚аN‚N‹ анализа N€Ð¾Ð»Ð¸ NÐ°Ð½Ð¸N‚аN€Ð½Ð¾-NÐ?идемиологиN‡ÐµNÐoиN… деN‚еN€Ð¼Ð¸Ð½Ð°Ð½N‚ АÐoN‚NƒÐ°Ð»NŒÐ½Ð¾NN‚NŒ иNNÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸N Ð?N€Ð¾Ð´Ð¸ÐoN‚ована налиN‡Ð¸ÐµÐ¼ неблагоÐ?олNƒN‡Ð½Ð¾Ð¹ NÐ°Ð½Ð¸N‚аN€Ð½Ð¾-NÐ?идемиологиN‡ÐµNÐoой NÐ¸N‚NƒÐ°N†Ð¸Ð¸ на неÐoоN‚оN€N‹N… N‚еN€N€Ð¸N‚оN€Ð¸NN… РоNNÐ¸Ð¹NÐoой ФедеN€Ð°N†Ð¸Ð¸, а N‚аÐoже необN…одимоNN‚NŒNŽ N€Ð°Ð·N€Ð°Ð±Ð¾N‚Ðoи и N€ÐµÐ°Ð»Ð¸Ð·Ð°N†Ð¸Ð¸ меN€ Ð?о NƒNN‚N€Ð°Ð½ÐµÐ½Ð¸NŽ или минимизаN†Ð¸Ð¸ неблагоÐ?N€Ð¸NN‚нN‹N… N„аÐoN‚оN€Ð¾Ð² NN€ÐµÐ´N‹ обиN‚аниN, NÐ?оNÐ¾Ð±Ð½N‹N… оN‚N€Ð¸N†Ð°N‚елNŒÐ½Ð¾ Ð?овлиNN‚NŒ на демогN€Ð°N„иN‡ÐµNÐoNƒNŽ NÐ¸N‚NƒÐ°N†Ð¸NŽ в NN‚N€Ð°Ð½Ðµ Ð’ ÐoаN‡ÐµNN‚ве оNÐ½Ð¾Ð²Ð½Ð¾Ð¹ N†ÐµÐ»Ð¸ NN‚авилоNNŒ изNƒN‡ÐµÐ½Ð¸Ðµ влиNÐ½Ð¸N NÐ°Ð½Ð¸N‚аN€Ð½Ð¾-NÐ?идемиологиN‡ÐµNÐoиN… Ð?оÐoазаN‚елей на ОПЖ наNÐµÐ»ÐµÐ½Ð¸N РФ N Ð?олNƒN‡ÐµÐ½Ð¸ÐµÐ¼ Ð?N€Ð¾Ð³Ð½Ð¾Ð·Ð½N‹N… NƒN€Ð¾Ð²Ð½ÐµÐ¹ ее Ð?N€Ð¸N€Ð¾NN‚а N NƒN‡ÐµN‚ом N€ÐµÐ³Ð¸Ð¾Ð½Ð°Ð»NŒÐ½Ð¾Ð¹ и Ð?оловой диN„N„еN€ÐµÐ½N†Ð¸Ð°N†Ð¸Ð¸ ИзNƒN‡ÐµÐ½ оN‚еN‡ÐµNN‚веннN‹Ð¹ и заN€NƒÐ±ÐµÐ¶Ð½N‹Ð¹ оÐ?N‹N‚ иNNÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸N NÐ²NÐ·ÐµÐ¹ междNƒ Ð?оÐoазаN‚елNÐ¼Ð¸ NÐ°Ð½Ð¸N‚аN€Ð½Ð¾-NÐ?идемиологиN‡ÐµNÐoого благоÐ?олNƒN‡Ð¸N и Ð?оÐoазаN‚елем ожидаемой Ð?N€Ð¾Ð´Ð¾Ð»Ð¶Ð¸N‚елNŒÐ½Ð¾NN‚NŒNŽ жизни По NƒN€Ð¾Ð² ½NŽ NÐ°Ð½Ð¸N‚аN€Ð½Ð¾-NÐ?идемиологиN‡ÐµNÐoого благоÐ?олNƒN‡Ð¸N NNƒÐ±NSеÐoN‚N‹ РФ Ð?оделенN‹ на N‚N€Ð¸ ÐoлаNN‚еN€Ð° ТN€ÐµN‚ий ÐoлаNN‚еN€, в ÐoоN‚оN€N‹Ð¹ воNˆÐ»Ð¾ 11 NNƒÐ±NSеÐoN‚ов РФ, в болNŒNˆÐµÐ¹ NN‚еÐ?ени нNƒÐ¶Ð´Ð°ÐµN‚NN в N€ÐµÐ°Ð»Ð¸Ð·Ð°N†Ð¸Ð¸ ÐoомÐ?леÐoNÐ° меN€ Ð?о NÐ½Ð¸Ð¶ÐµÐ½Ð¸NŽ NƒN€Ð¾Ð²Ð½N загN€NÐ·Ð½ÐµÐ½Ð¸N обNSеÐoN‚ов NN€ÐµÐ´N‹ обиN‚аниN РезNƒÐ»NŒN‚аN‚N‹ N€ÐµÐ³N€ÐµNNÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ и N„аÐoN‚оN€Ð½Ð¾Ð³Ð¾ анализа Ð?оÐoазали, N‡N‚о Ð?N€Ð¸ Ð?N€Ð¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ð¸ NN†ÐµÐ½Ð°N€Ð½N‹N… NƒNÐ»Ð¾Ð²Ð¸Ð¹ NƒÐ»NƒN‡NˆÐµÐ½Ð¸N (на 10,0 %) NÐ°Ð½Ð¸N‚аN€Ð½Ð¾-NÐ?идемиологиN‡ÐµNÐoиN… Ð?оÐoазаN‚елей Ð?N€Ð¾Ð³Ð½Ð¾Ð·Ð¸N€NƒÐµN‚NN NƒÐ²ÐµÐ»Ð¸N‡ÐµÐ½Ð¸Ðµ ожидаемой Ð?N€Ð¾Ð´Ð¾Ð»Ð¶Ð¸N‚елNŒÐ½Ð¾NN‚и жизни вNÐµÐ³Ð¾ наNÐµÐ»ÐµÐ½Ð¸N РФ на 140,39 днN Ð’ N€Ð°Ð·N€ÐµÐ·Ðµ Ð?оловой диN„N„еN€ÐµÐ½N†Ð¸Ð°N†Ð¸Ð¸ NƒÐ»NƒN‡NˆÐµÐ½Ð¸Ðµ NÐ°Ð½Ð¸N‚аN€Ð½Ð¾-NÐ?идемиологиN‡ÐµNÐoой NÐ¸N‚NƒÐ°N†Ð¸Ð¸ NÐ?оNÐ¾Ð±Ð½Ð¾ оÐoазаN‚NŒ болNŒNˆÐµÐµ влиNÐ½Ð¸Ðµ на N€Ð¾NN‚ ОПЖ мNƒÐ¶NÐoого наNÐµÐ»ÐµÐ½Ð¸N - 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Health risk analysis in the tasks of improving sanitary and epidemiological surveillance in the Russian Federation

Abstract: The main direction of improving the activity of the Federal Service on Customers' Rights Protection and Human Well-Being Surveillance at the present stage is the implementation of a risk-oriented model, which involves the use of health risk assessment methods for solving a wide range of functional tasks of the Service, classification of supervised objects depending on the degree of threat and risk of harm to life and health of citizens and a differentiated approach to the conduction of regulatory and supervisory activities with concentration on efforts on objects forming unacceptable health risks; introduction of risk assessment methodology in the system for sanitary regulation, systematic approach to the information analysis provision of tasks on the assessment and health risk management, including within the framework of public health monitoring, accounting of indicators of economic efficiency of supervisory activities and health risk management measures.

A Mathematical Model of the Immune and Neuroendocrine Systems Mutual Regulation under the Technogenic Chemical Factors Impact

Abstract: The concept of the triad regulatory metasystem, which includes the neuroendocrine and immune regulation systems, is currently generally accepted. Changes occurring in each of the regulatory systems in response to the impact of technogenic chemical factors are also well known. This paper presents mathematical models of the immune and neuroendocrine system functioning, using the interaction between these systems in response to bacterial invasion as an example, and changes in their performance under exposure to chemical factors, taking into account the stage of functional disorders in a producing organ, using the performance of the bone marrow as an example.

I and i

Abstract: 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 …

Effects of Toxic Stimuli Combinations on Determination of Exposure Limits

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

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

Abstract: 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.