scholarly journals On the properties of the classifier in case of normal blood parameters

2021 ◽  
pp. 1-23
Author(s):  
Boris Mikhailovich Gavrikov ◽  
Mikhail Borisovich Gavrikov ◽  
Nadezhda Vladimirovna Pesryakova
Keyword(s):  
Mathematical Model ◽  
Human Health ◽  
Peripheral Blood ◽  
Polynomial Regression ◽  
Numerical Study ◽  
Blood Parameters ◽  
The State ◽  
Normal Blood ◽  
Statistical Classification ◽  
Regression Approach

A mathematical model is described and implemented, intended for the numerical study of the ability of the statistical classification method to interpolate and extrapolate. The classifier developed by the authors is based on the polynomial-regression approach and has probabilistic estimates. It is used to assess the state of human health based on the parameters of laboratory analysis of peripheral blood. The blood base is considered with normal parameters.

scholarly journals On the properties of the classifier in case of maximal deviations of blood parameters from the norm

2021 ◽  
pp. 1-27
Author(s):  
Boris Mikhailovich Gavrikov ◽  
Mikhail Borisovich Gavrikov ◽  
Nadezhda Vladimirovna Pesryakova
Keyword(s):  
Mathematical Model ◽  
Human Health ◽  
Peripheral Blood ◽  
Polynomial Regression ◽  
Numerical Study ◽  
Blood Parameters ◽  
The State ◽  
Statistical Classification ◽  
Regression Approach ◽  
Maximal Deviation

A mathematical model is described and implemented, intended for the numerical study of the ability of the statistical classification method to interpolate and extrapolate. The classifier developed by the authors is based on the polynomial-regression approach and has probabilistic estimates. It is used to assess the state of human health based on the parameters of laboratory analysis of peripheral blood. The blood base is considered with a maximal deviation from the norm.

scholarly journals On the properties of the classifier in case of significant deviations of blood parameters from the norm

2021 ◽  
pp. 1-27
Author(s):  
Boris Mikhailovich Gavrikov ◽  
Mikhail Borisovich Gavrikov ◽  
Nadejda Vladimirovna Pestryakova
Keyword(s):  
Mathematical Model ◽  
Human Health ◽  
Peripheral Blood ◽  
Polynomial Regression ◽  
Numerical Study ◽  
Blood Parameters ◽  
The State ◽  
Classification Method ◽  
Statistical Classification ◽  
Regression Approach

A mathematical model is described and implemented, intended for the numerical study of the ability of the statistical classification method to interpolate and extrapolate. The classifier developed by the authors is based on the polynomial-regression approach and has probabilistic estimates. It is used to assess the state of human health based on the parameters of laboratory analysis of peripheral blood. The blood base is considered with a significant deviation from the norm.

scholarly journals On the properties of the classifier in case of small deviations of blood parameters from the norm

2021 ◽  
pp. 1-26
Author(s):  
Boris Mikhailovich Gavrikov ◽  
Mikhail Borisovich Gavrikov ◽  
Nadezhda Vladimirovna Pesryakova
Keyword(s):  
Mathematical Model ◽  
Human Health ◽  
Peripheral Blood ◽  
Polynomial Regression ◽  
Numerical Study ◽  
Small Deviation ◽  
Blood Parameters ◽  
Statistical Classification ◽  
Small Deviations ◽  
Regression Approach

A mathematical model is described and implemented, intended for the numerical study of the ability of the statistical classification method to interpolate and extrapolate. The classifier developed by the authors is based on the polynomial-regression approach and has probabilistic estimates. It is used to assess the state of human health based on the parameters of laboratory analysis of peripheral blood. The blood base is considered with a small deviation from the norm.

Analytical Assessment of the Effect of Changes in Peripheral Blood Parameters on the State of the Human Body and Its Systems

2004 ◽  
Vol 38 (2) ◽  
pp. 66-69
Author(s):  
V. A. Kovyazin ◽  
L. A. Stepanova ◽  
L. A. Lebedev ◽  
R. V. Stavitskii ◽  
M. K. Stavitskaya ◽  
...  
Keyword(s):  
Human Body ◽  
Peripheral Blood ◽  
Blood Parameters ◽  
The State ◽  
Analytical Assessment

NUMERICAL STUDY FOR THAILAND: MATHEMATICAL MODEL OF PRODUCTION AND LOGISTIC PLANNING FOR SUGARCANES USED IN BIOFUEL PRODUCTION

2013 ◽  
Author(s):  
Pancheewa Benjamasutin ◽  
◽  
Ponthong Rijana ◽  
Phongchayont Srisuwan ◽  
Aussadavut Dumrongsiri
Keyword(s):  
Mathematical Model ◽  
Numerical Study ◽  
Biofuel Production ◽  
Logistic Planning

Modelling and Simulation of NO2 Dispersion Phenomenon in Atmosphere by Analytical-Experimental Methods

2008 ◽  
Vol 59 (10) ◽  
Author(s):  
Delia Perju ◽  
Harieta Pirlea ◽  
Gabriela-Alina Brusturean ◽  
Dana Silaghi-Perju ◽  
Sorin Marinescu
Keyword(s):  
Mathematical Model ◽  
Nitrogen Dioxide ◽  
Modeling And Simulation ◽  
Human Health ◽  
Experimental Methods ◽  
Negative Effects ◽  
Real Situation ◽  
Experimental Values ◽  
The Mathematical Model

The European laws and recently the Romanian ones impose more and more strict norms to the large nitrogen dioxide polluters. They are obligated to continuously improve the installations and products so that they limit and reduce the nitrogen dioxide pollution, because it has negative effects on the human health and environment. In this paper are presented these researches made within a case study for the Timi�oara municipality, regarding the modeling and simulation of the nitrogen dioxide dispersion phenomenon coming from various sources in atmosphere with the help of analytical-experimental methods. The mathematical model resulting from these researches is accurately enough to describe the real situation. This was confirmed by comparing the results obtained based on the model with real experimental values.

scholarly journals Modelling the impact of delaying vaccination against SARS-CoV-2 assuming unlimited vaccine supply

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Marcos Amaku ◽  
Dimas Tadeu Covas ◽  
Francisco Antonio Bezerra Coutinho ◽  
Raymundo Soares Azevedo ◽  
Eduardo Massad
Keyword(s):  
Mathematical Model ◽  
Vaccination Campaign ◽  
Vaccination Rate ◽  
Sao Paulo ◽  
The State ◽  
São Paulo ◽  
Health Authorities ◽  
The World ◽  
The Moment ◽  
The Impact

Abstract Background At the moment we have more than 177 million cases and 3.8 million deaths (as of June 2021) around the world and vaccination represents the only hope to control the pandemic. Imperfections in planning vaccine acquisition and difficulties in implementing distribution among the population, however, have hampered the control of the virus so far. Methods We propose a new mathematical model to estimate the impact of vaccination delay against the 2019 coronavirus disease (COVID-19) on the number of cases and deaths due to the disease in Brazil. We apply the model to Brazil as a whole and to the State of Sao Paulo, the most affected by COVID-19 in Brazil. We simulated the model for the populations of the State of Sao Paulo and Brazil as a whole, varying the scenarios related to vaccine efficacy and compliance from the populations. Results The model projects that, in the absence of vaccination, almost 170 thousand deaths and more than 350 thousand deaths will occur by the end of 2021 for Sao Paulo and Brazil, respectively. If in contrast, Sao Paulo and Brazil had enough vaccine supply and so started a vaccination campaign in January with the maximum vaccination rate, compliance and efficacy, they could have averted more than 112 thousand deaths and 127 thousand deaths, respectively. In addition, for each month of delay the number of deaths increases monotonically in a logarithmic fashion, for both the State of Sao Paulo and Brazil as a whole. Conclusions Our model shows that the current delay in the vaccination schedules that is observed in many countries has serious consequences in terms of mortality by the disease and should serve as an alert to health authorities to speed the process up such that the highest number of people to be immunized is reached in the shortest period of time.

A Numerical Study of Unsteady Natural Convection in a Rectangular Enclosure: The Effect of Compressibility

2004 ◽  
Author(s):  
K. M. Akyuzlu ◽  
Y. Pavri ◽  
A. Antoniou
Keyword(s):  
Mathematical Model ◽  
Stokes Equations ◽  
Numerical Study ◽  
Vertical Wall ◽  
Ideal Gas ◽  
Working Fluid ◽  
Two Dimensional ◽  
Algebraic Equations ◽  
Rectangular Enclosure ◽  
Circulation Patterns

A two-dimensional, mathematical model is adopted to investigate the development of buoyancy driven circulation patterns and temperature contours inside a rectangular enclosure filled with a compressible fluid (Pr=1.0). One of the vertical walls of the enclosure is kept at a higher temperature then the opposing vertical wall. The top and the bottom of the enclosure are assumed insulated. The physics based mathematical model for this problem consists of conservation of mass, momentum (two-dimensional Navier-Stokes equations) and energy equations for the enclosed fluid subjected to appropriate boundary conditions. The working fluid is assumed to be compressible through a simple ideal gas relation. The governing equations are discretized using second order accurate central differencing for spatial derivatives and first order forward finite differencing for time derivatives where the computation domain is represented by a uniform orthogonal mesh. The resulting nonlinear equations are then linearized using Newton’s linearization method. The set of algebraic equations that result from this process are then put into a matrix form and solved using a Coupled Modified Strongly Implicit Procedure (CMSIP) for the unknowns (primitive variables) of the problem. A numerical experiment is carried out for a benchmark case (driven cavity flow) to verify the accuracy of the proposed solution procedure. Numerical experiments are then carried out using the proposed compressible flow model to simulate the development of the buoyancy driven circulation patterns for Rayleigh numbers between 103 and 105. Finally, an attempt is made to determine the effect of compressibility of the working fluid by comparing the results of the proposed model to that of models that use incompressible flow assumptions together with Boussinesq approximation.

scholarly journals PAH biomarkers for human health risk assessment: a review of the state-of-the-art

2008 ◽  
Vol 24 (suppl 4) ◽  
pp. a569-s580 ◽  
Author(s):  
Sérgio Silveira Franco ◽  
Adelaide Cássia Nardocci ◽  
Wanda Maria Risso Günther
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Human Health ◽  
Health Risk Assessment ◽  
State Of The Art ◽  
Human Health Risk ◽  
The State ◽  
Human Health Risk Assessment ◽  
Human Beings ◽  
Polycyclic Aromatic

Polycyclic aromatic hydrocarbons (PAH) are widely distributed in the environment, and some are carcinogenic to human beings. The study of biomarkers has helped clarify the nature and magnitude of the human health risks posed by such substances. This article provides a review of the state-of-the-art on PAH biomarkers for human health risk assessment and also discusses their applicability within the context of environmental management in Brazil. The article discusses the methodologies for determination of some biomarkers such as 1-hydroxypyrene and PAH-DNA adducts. Cytogenetic markers, frequency of chromosomal aberrations, and micronucleus induction were considered for the evaluation of cancer risk. The current stage of studies on validation of such biomarkers was also approached.

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