scholarly journals Can Thrifty Gene(s) or Predictive Fetal Programming for Thriftiness Lead to Obesity?

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Ulfat Baig ◽  
Prajakta Belsare ◽  
Milind Watve ◽  
Maithili Jog
Keyword(s):  
Mathematical Model ◽  
Social Factors ◽  
Fetal Programming ◽  
Later Life ◽  
Thrifty Gene ◽  
Factors Affecting ◽  
Thrifty Phenotype ◽  
Obesity Research ◽  
Thrifty Genes ◽  
Periodic Starvation

Obesity and related disorders are thought to have their roots in metabolic “thriftiness” that evolved to combat periodic starvation. The association of low birth weight with obesity in later life caused a shift in the concept from thrifty gene to thrifty phenotype or anticipatory fetal programming. The assumption of thriftiness is implicit in obesity research. We examine here, with the help of a mathematical model, the conditions for evolution of thrifty genes or fetal programming for thriftiness. The model suggests that a thrifty gene cannot exist in a stable polymorphic state in a population. The conditions for evolution of thrifty fetal programming are restricted if the correlation between intrauterine and lifetime conditions is poor. Such a correlation is not observed in natural courses of famine. If there is fetal programming for thriftiness, it could have evolved in anticipation of social factors affecting nutrition that can result in a positive correlation.

scholarly journals Insights from the developing world: thrifty genotypes and thrifty phenotypes

2005 ◽  
Vol 64 (2) ◽  
pp. 153-161 ◽  
Author(s):  
Andrew M. Prentice ◽  
Pura Rayco-Solon ◽  
Sophie E. Moore
Keyword(s):  
Developing World ◽  
Cholesterol Metabolism ◽  
Coupling Efficiency ◽  
Later Life ◽  
Thrifty Genotype ◽  
Evolutionary Selection ◽  
Thrifty Phenotype ◽  
Extra Energy ◽  
Thrifty Genes ◽  
Food Seeking

Few researchers would dispute that the pandemic of obesity is caused by a profound mismatch between humanity's present environmental circumstances and those that have moulded evolutionary selection. This concept was first articulated when gestational diabetes was described as being the result of a ‘thrifty genotype rendered detrimental by progress’. More recently, this hypothesis has been extended to the concept of a ‘thrifty phenotype’ to describe the metabolic adaptations adopted as a survival strategy by a malnourished fetus; changes that may also be inappropriate to deal with a later life of affluence. Both the thrifty genotype and the thrifty phenotype hypotheses would predict that populations in some areas of the developing world would be at greater risk of obesity and its co-morbidities; a proposition to be explored in the present paper. To date thrifty genes remain little more than a nebulous concept propagated by the intuitive logic that man has been selected to survive episodic famine and seasonal hungry periods. Under such conditions those individuals who could lay down extra energy stores and use them most efficiently would have a survival advantage. The search for candidate thrifty genes needs to cover every aspect of human energy balance from food-seeking behaviour to the coupling efficiency of oxidative phosphorylation. The present paper will describe examples of attempts to find thrifty genes in three selected candidate areas: maternally-transmitted mitochondrial genes; the uncoupling proteins; apoE4, whose geographical distribution has been linked to a possible thrifty role in lipoprotein and cholesterol metabolism.

Segments Influencing Individual Investors Behavior And Their Investment Decision

2019 ◽  
Vol 118 (9) ◽  
pp. 154-160
Author(s):  
Dr. Kartikey Koti
Keyword(s):  
Decision Making ◽  
Social Factors ◽  
Stock Markets ◽  
Investment Decision ◽  
Individual Investors ◽  
Factors Affecting ◽  
The Social ◽  
Karnataka State ◽  
Essential Idea

The essential idea of this assessment is investigate the social factors affecting particular theorists' decisions making limit at Indian Stock Markets. In the examination coordinated standard of direct is Classified subject to two estimations the first is Heuristic (Decision making) and the resulting one is prospect.. For the assessment coordinated the data used is basic natured which is assembled through a sorted out survey from 100 individual money related authorities based out in Hubli and Dharwad city, Karnataka State in India on an accommodating way. The respondents were both sex and overwhelming part male were 68% . These theorists were having a spot with the age bundle between35-45 which is 38%. These respondents have completed their graduation were around 56%. These respondents had work inclusion of 5 to 10 years which is 45% and the majority of which were used in government portion which is 56%. Their compensation was between 4 to 6 Lakh and were fit for placing assets into business areas. The money related experts were widely masterminded placing assets into different portfolios like 32% in Share market and 20 % in Fixed store. These examiners mode to known various endeavor streets were through News, family and allies.  

Cultural Factors Affecting the Negotiation of First Sexual Intercourse among Latina Adolescent Mothers

1998 ◽  
Vol 18 (1) ◽  
pp. 121-137 ◽  
Author(s):  
Pamela I. Erickson
Keyword(s):  
Los Angeles ◽  
Sexual Intercourse ◽  
Adolescent Mothers ◽  
Social Factors ◽  
Birth Rate ◽  
Factors Affecting ◽  
First Sexual Intercourse ◽  
Latina Adolescent Mothers ◽  
Adolescent Birth ◽  
First Time

In 1995, the Latina adolescent birth rate surpassed that of African Americans for the first time. This article investigates cultural and social factors affecting the initiation of sexual intercourse among Latina adolescent mothers in Los Angeles. The data are from life history interviews with forty young mothers and their partners conducted in 1994 to 1997. Results suggest that sexual intercourse is initiated within the context of the couple's developing relationship, and that the course of relationships is highly scripted. Men pressure for sex and women resist. Women should be ignorant about sex, but control access to intercourse. Sex is never discussed. Thus, it is unexpected, and contraception other than withdrawal is not used. This script places young Latinas at enormous risk for pregnancy and STDs.

Simulation of oscillatory processes in the MVSTUDIUM package

2022 ◽  
Vol 14 (4) ◽  
pp. 139-148
Author(s):  
Aleksandr Poluektov ◽  
Konstantin Zolnikov ◽  
V. Antsiferova
Keyword(s):  
Mathematical Model ◽  
Friction Force ◽  
Computer Models ◽  
3D Models ◽  
Oscillatory Process ◽  
Suspension Point ◽  
Factors Affecting ◽  
2D And 3D ◽  
The Mathematical Model ◽  
Oscillatory Processes

The mathematical model and algorithms of oscillatory movements are considered. Various factors affecting the oscillatory process are considered. Oscillatory movements are constructed in the MVSTUDIUM modeling environment. The schemes of three computer models demonstrating oscillatory processes are determined: a model of a pendulum with a non-movable suspension point, a model of a pushing pendulum with friction force and a model of a breaking pendulum. Classes are being built to execute models with embedded properties, as well as with the ability to export the created classes to other models, and embed classes created by the program developer into the model. Creation of 2D and 3D models of oscillatory processes, an experiment behavior map and a virtual stand.

scholarly journals Prevalence of septal deviation in newborns: an institutional based cross sectional study

2020 ◽  
Vol 6 (3) ◽  
pp. 481
Author(s):  
Deep Jyoti ◽  
Pallvi Sharma ◽  
Ashu Jamwal ◽  
Arti .
Keyword(s):  
Nasal Septum ◽  
Later Life ◽  
Cross Sectional Study ◽  
Common Finding ◽  
Common Condition ◽  
Sectional Study ◽  
Routine Examination ◽  
Deviated Nasal Septum ◽  
Cross Sectional ◽  
Factors Affecting

<p class="abstract"><strong><span lang="EN-US">Background: </span></strong>Deviated nasal septum (DNS) is a common condition with various factors affecting its occurrence. The study was aimed to find the prevalence of DNS in newborns.</p><p class="abstract"><strong><span lang="EN-US">Methods: </span></strong>The present study was a cross sectional study conducted in the SMGS hospital, GMC Jammu. A sample size of 200 newborns, less than 7 days of age were included in the study. 200 newborns in the postnatal wards were examined in the present cross-section observational study including the age ranging from 1 day to 5 days.  </p><p class="abstract"><strong><span lang="EN-US">Results: </span></strong>Prevalence of DNS in the present study was 29%. 103 babies were born to the primipara mothers out of which 39 (37.86%) had DNS while only 19 (19.58%) out of 97 babies born to the multipara mothers had the DNS. The newborns with higher birth weight had higher incidence of having DNS. 41.17% of the newborns with weight of &gt;3 kg had DNS as compared to those in 2 to 2.5 kg group (17.28%) and &lt;2 kg group (11.76%).</p><p class="abstract"><strong><span lang="EN-US">Conclusions: </span></strong>DNS is a common finding since birth which may persist in later life. Routine examination of the newborns specifically regarding the nose should be done to detect the septal deviations at earliest so that active intervention can be done when required.</p>

scholarly journals Social factors of innovative development of regions

2018 ◽  
Vol 14 (3) ◽  
pp. 53-58
Author(s):  
L. Ivanova-Shvets
Keyword(s):  
Social Factors ◽  
Economic Factors ◽  
Innovative Development ◽  
Effective Management ◽  
Study Analysis ◽  
Important Condition ◽  
Factors Affecting ◽  
The Past ◽  
Innovative Economy

The Object of the Study. Innovative development of regionsThe Subject of the Study. Social factors of innovative development of regionsThe Purpose of the Study. Analysis of the main social factors affecting the innovative development of the regions.The main Provisions of the Article. The most important condition for the innovative development of the regions is the effective management impact on the entire set of indicators aimed at improving the functioning of the innovative economy. The most significant and important factors affecting the innovative development of the regions include social factors that are closely related to legal, political and economic factors. The article analyzes the main social factors in the dynamics over the past 10 years and identifies the main problems that negatively affect the innovative development of the regions

scholarly journals Analysis on Present Mathematical Model for Predicting the Crop Production

2020 ◽  
Vol 9 (12) ◽  
pp. 168-170
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Real World ◽  
Crop Production ◽  
Ghg Emissions ◽  
Data Set ◽  
Factors Affecting ◽  
The Government ◽  
The Mathematical Model ◽  
Government Website

India is a worldwide agriculture business powerhouse. Future of agriculture-based products depends on the crop production. A mathematical model might be characterized as a lot of equations that speak to the conduct of a framework. By using mathematical model in agriculture field, we can predict the production of crop in particular area. There are various factors affecting crops such as Rainfall, GHG Emissions, Temperature, Urbanization, climate, humidity etc. A mathematical model is a simplified representation of a real-world system. It forms the system using mathematical principles in the form of a condition or a set of conditions. Suppose we need to increase the crop production, at that time the mathematical model plays a major role and our work can be easier, more significant by using the mathematical model. Through the mathematical model we predict the crop production in upcoming years. .AI, ML, IOT play a major role to predict the future of agriculture, but without mathematical models it is not possible to predict crop production accurately. To solve the real-world agriculture problem, mathematical models play a major role for accurate results. Correlation Analysis, Multiple Regression analysis and fuzzy logic simulation standards have been utilized for building a grain production benefit depending model from crop production. Prediction of crop is beneficiary to the farmer to analyze the crop management. By using the present agriculture data set which is available on the government website, we can build a mathematical model.

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