scholarly journals Identifying the Entrepreneurship Behavioral Dimension of Tribal Dairy Farmers in Balrampur District of Chhattisgarh

2021 ◽  
Vol 57 (4) ◽  
pp. 80-84
Author(s):  
Ravi Kumar Gupta ◽  
Anindita Saha ◽  
Pravin Kumar Tiwari
Keyword(s):  
Statistical Data ◽  
Economic Status ◽  
Principal Component ◽  
Managerial Ability ◽  
Dairy Farmers ◽  
Entrepreneurial Behaviour ◽  
Hill Region ◽  
Productive System ◽  
Interest Level ◽  
Tribal Region

Dairy farming is not an essential part of farming but also the most appropriate productive system, with enormous potential for improving the socio-economic status of dairy farmers in the tribal region. The study was conducted during 2018-19 in the Northern Hill Region of Chhattisgarh to identify the dimension of entrepreneurial behaviour of tribal dairy farmers with the help of Principal Component Analysis (PCA). It extracted the important information to display the pattern of similarity between the observations from the statistical data of tribal dairy farmers and to represent the new set of orthogonal variables as risk bearing ability, level of interest, level of confidence, managerial ability, innovativeness, motivation, optimistic attitude, and risk respectively.

scholarly journals Evaluating the Effect of the Financial Status to the Mobility Customs

2021 ◽  
Vol 10 (5) ◽  
pp. 328
Author(s):  
Gergo Pintér ◽  
Imre Felde
Keyword(s):  
Socioeconomic Status ◽  
Economic Status ◽  
Housing Prices ◽  
Principal Component ◽  
Cellular Phone ◽  
Radius Of Gyration ◽  
Financial Status ◽  
Property Price ◽  
Statistical Relationships ◽  
Commuting Patterns

In this article, we explore the relationship between cellular phone data and housing prices in Budapest, Hungary. We determine mobility indicators from one months of Call Detail Records (CDR) data, while the property price data are used to characterize the socioeconomic status at the Capital of Hungary. First, we validated the proposed methodology by comparing the Home and Work locations estimation and the commuting patterns derived from the cellular network dataset with reports of the national mini census. We investigated the statistical relationships between mobile phone indicators, such as Radius of Gyration, the distance between Home and Work locations or the Entropy of visited cells, and measures of economic status based on housing prices. Our findings show that the mobility correlates significantly with the socioeconomic status. We performed Principal Component Analysis (PCA) on combined vectors of mobility indicators in order to characterize the dependence of mobility habits on socioeconomic status. The results of the PCA investigation showed remarkable correlation of housing prices and mobility customs.

scholarly journals An ecological study on suicide and homicide in Brazil

2014 ◽  
Vol 19 (4) ◽  
pp. 1179-1189 ◽  
Author(s):  
Daniel Hideki Bando ◽  
David Lester
Keyword(s):  
Ecological Study ◽  
Total Population ◽  
Economic Status ◽  
Demographic Data ◽  
Principal Component ◽  
Demographic Variables ◽  
Varimax Rotation ◽  
Men And Women ◽  
Age Adjusted Rates ◽  
Official Records

The objective was to evaluate correlations between suicide, homicide and socio-demographic variables by an ecological study. Mortality and socio-demographic data were collected from official records of the Ministry of Health and IBGE (2010), aggregated by state (27). The data were analyzed using correlation techniques, factor analysis, principal component analysis with a varimax rotation and multiple linear regression. Suicide age-adjusted rates for the total population, men and women were 5.0, 8.0, and 2.2 per 100,000 inhabitants respectively. The suicide rates ranged from 2.7 in Pará to 9.1 in Rio Grande do Sul. Homicide for the total population, men and women were 27.2, 50.8, and 4.5 per 100,000, respectively. The homicide rates ranged from 13.0 in Santa Catarina to 68.9 in Alagoas. Suicide and homicide were negatively associated, the significance persisted among men. Unemployment was negatively correlated with suicide and positively with homicide. Different socio-demographic variables were found to correlate with suicide and homicide in the regressions. Suicide showed a pattern suggesting that, in Brazil, it is related to high socioeconomic status. Homicide seemed to follow the pattern found in other countries, associated with lower social and economic status.

scholarly journals Fee - fishing operation evaluation at Nothwest São Paulo State, Brazil

2005 ◽  
Vol 62 (6) ◽  
pp. 590-596
Author(s):  
Ruy Bessa Lopes ◽  
Luiz de Carvalho Landell Filho ◽  
Carlos Tadeu dos Santos Dias
Keyword(s):  
Fishery Management ◽  
Stocking Density ◽  
Principal Component ◽  
Sao Paulo ◽  
São Paulo ◽  
Productive Performance ◽  
Paulo State ◽  
Productive System ◽  
São Paulo State ◽  
And Cluster Analysis

Fee-fishing operations developed recently in Brazilian agricultural scenery in a rather disordered manner. This study, carried out at the northwest region of São Paulo State, Brazil, focuses on the productive performance of fee-fishing system. Several visits were made monthly to nine fee-fishing establishments, for six months. A questionnaire by owners targeting 13 indicators of the operation's productive performance. Data were submitted to multivariate analysis (MANOVA), principal component analysis (PCA) and cluster analysis. MANOVA indicated significant differences between the fee-fishing operations. The PCA analyses indicated, from the higher coefficient eigenvectors, three attributes for the lakes, such as productive system, fishery management and operational administration. The cluster analyses classified the fishing lakes in four groups. The indicators angler frequency (AF), stocking density (SD), stocking biomass (SB), total capture (TC) and capture/lake/day (CLD), which are part of the attribute productive system, were the most important indicators of "fee-fishing" operations performance in this study.

scholarly journals Association between socio-economic status and childhood undernutrition in Bangladesh; a comparison of possession score and poverty index

2010 ◽  
Vol 13 (10) ◽  
pp. 1498-1504 ◽  
Author(s):  
Masuda Mohsena ◽  
CG Nicholas Mascie-Taylor ◽  
Rie Goto
Keyword(s):  
Nutritional Status ◽  
Maternal Education ◽  
Economic Status ◽  
Principal Component ◽  
Poverty Index ◽  
Socio Economic Status ◽  
The Family ◽  
Height For Age ◽  
Weight For Age ◽  
Children Under 5

AbstractObjectiveTo determine how much of the variation in nutritional status of Bangladeshi children under 5 years old can be attributed to the socio-economic status of the family.DesignNutritional status used reference Z-scores of weight-for-age (WAZ), height-for-age (HAZ) and weight-for-height (WHZ). A ‘possession score’ was generated based on ownership of a radio, television, bicycle, motorcycle and telephone, and the availability of electricity, with categories of 0 to 4+ possessions. A five-point (quintile) ‘poverty index’ was created using principal component analysis.SettingThe Bangladesh Demographic and Health Survey 2004 was the source of data.SubjectsA sample of 4891 children aged <5 years was obtained.ResultsSome 57·8 % of the sample was either stunted, wasted or underweight (7·7 % were stunted, wasted and underweight). Of those stunted (48·4 %), 25·7 % were also underweight. Underweight and wasting prevalences were 40·7 % and 14·3 %, respectively. Mean WAZ, HAZ and WHZ did not differ by sex. Children of mothers with no education or no possessions were, on average, about 1 sd more underweight and stunted than those with higher educated mothers or with 4+ possessions. The possession score provided much greater discrimination of undernutrition than the poverty index. Nearly 50 % of children from households with no possessions were stunted, wasted or underweight (only 27 % in the poorest quintile), compared with only 3–6 % of children from households with 4+ possessions (over 13 % in the richest quintile).ConclusionsMaternal education and possession score were the main predictors of a child’s nutritional status. Possession score was a much better indicator of undernutrition than the poverty index.

Socio-economic Status and Problems Faced by Dairy Farmers of Sardhana Block of Meerut District

2019 ◽  
pp. 1
Author(s):  
Naresh Prasad ◽  
Suresh Kumar ◽  
Megha Pande ◽  
Yogesh Soni ◽  
Siddhartha Saha ◽  
...  
Keyword(s):  
Economic Status ◽  
Dairy Farmers ◽  
Socio Economic Status

Altitudinal diversity in horsegram (Macrotyloma uniflorum (Lam.) Verdc.) landraces collected from Himalayan hill region

2010 ◽  
Vol 8 (3) ◽  
pp. 214-216 ◽  
Author(s):  
Arun Gupta ◽  
Anuradha Bhartiya ◽  
Gyanendra Singh ◽  
Vinay Mahajan ◽  
J. C. Bhatt
Keyword(s):  
Grain Yield ◽  
Selection Pressure ◽  
Principal Component ◽  
High Variability ◽  
Phase Duration ◽  
Physiological Maturity ◽  
Macrotyloma Uniflorum ◽  
Hill Region ◽  
Quantitative Characters ◽  
Different Altitudes

A total of 54 horsegram landraces collected from three altitudinal zones (lower hills, mid hills and higher hills) of Himalayan region were characterized and evaluated for nine quantitative characters. Accessions collected from lower and higher hills were more diverse and differed significantly from mid hills accessions for characters viz., days to flowering, days to physiological maturity, plant height and grain yield per plant. The plotting of first and second principal component axes scores revealed that there was dispersion among the accessions collected from different altitudinal groups. It reveals a less variability among the landraces collected from same altitudinal group but high variability among the landraces collected from different altitudes. This suggests that the horsegram landraces are adapted to specific zone due to different selection pressure practiced by the farmers at different altitudes. Farmers in lower and higher hills select the landraces having high grain yield coupled with less reproductive phase duration and taller in nature.

scholarly journals Statistical Data About Risk Factors and Pregnancy Outcome of Placenta Previa

2018 ◽  
Vol 14 (15) ◽  
pp. 27
Author(s):  
Kashami Arian ◽  
Troshani Amela ◽  
Shabani Zamira
Keyword(s):  
Risk Factors ◽  
Medical Records ◽  
Statistical Data ◽  
Placenta Previa ◽  
Economic Status ◽  
University Hospital ◽  
Uterine Surgery ◽  
Different Types ◽  
Maternal And Neonatal Outcomes ◽  
The Mean

Placenta previa is a placental location close to or over the internal cervical os. The aim of this study was to evaluate: risk factors, maternal and neonatal outcomes in patients with placenta previa. Material and methods: We conducted a retrospective cohort study of 38 women who have had a caesarean section for placenta previa at a tertiary referral University Hospital of Obstetrics and Gynecology “Koço Gliozheni” in Tirana, Albania. The period of this study was from January 2015 to March 2018. Maternal and neonatal data were obtained from medical records and the hospital database system. All cases of placenta previa were managed by medical team, obstetric consultants and all data were calculated with SPSS.20 program. Results: In total, 38 women with placenta previa were classified in three different types of placenta previa: Marginal placenta previa occurred in 16 women(42.1%), Complete placenta previa occurred in 19 women(50%) and with accreta placenta previa in 3 women(7.9%). The mean age of mothers was 30,61 years old, mode = 35, median = 30 and Std. deviation = 4.641 years. Conclusions: The prevalence rate of section caesarean and placenta previa is increased during the years. Several obstetrical factors have been found to be risk for placenta previa including: advancing maternal age, previous caesarean delivery, previous abortions, previous uterine surgery, multiparity, previous placenta previa, low socio-economic status, mother’s cigarette smoking /alcohol use. Placenta previa is associated with an increase in preterm birth and neonatal and maternal outcome. Other complications of pregnancy can be associated with placenta previa, but the majority of women deliver healthy babies.

scholarly journals Entrepreneurial Behaviour of Dairy Farmers in North-Western Rajasthan

2021 ◽  
Vol 10 (2) ◽  
pp. 1111-1116
Author(s):  
Dwarka Prasad J. P. Lakhera ◽  
Seema Tyagi Diksha Sharma ◽  
Sunil Kumar
Keyword(s):  
Dairy Farmers ◽  
Entrepreneurial Behaviour ◽  
North Western

scholarly journals Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition

2021 ◽  
Author(s):  
Edwin S. Dalmaijer ◽  
Sophie G. Gibbons ◽  
Giacomo Bignardi ◽  
Alexander L. Anwyl-Irvine ◽  
Roma Siugzdaite ◽  
...  
Keyword(s):  
Mental Health ◽  
Educational Outcomes ◽  
Short Term Memory ◽  
Economic Status ◽  
Health Anxiety ◽  
Principal Component ◽  
Depression Symptoms ◽  
Multivariate Techniques ◽  
Socio Economic Status ◽  
Partial Correlations

AbstractA child’s socio-economic environment can profoundly affect their development. While existing literature focusses on simplified metrics and pair-wise relations between few variables, we aimed to capture complex interrelationships between several relevant domains using a broad assessment of 519 children aged 7–9 years. Our analyses comprised three multivariate techniques that complimented each other, and worked at different levels of granularity. First, an exploratory factor analysis (principal component analysis followed by varimax rotation) revealed that our sample varied along continuous dimensions of cognition, attitude and mental health (from parallel analysis); with potentially emerging dimensions speed and socio-economic status (passed Kaiser’s criterion). Second, k-means cluster analysis showed that children did not group into discrete phenotypes. Third, a network analysis on the basis of bootstrapped partial correlations (confirmed by both cross-validated LASSO and multiple comparisons correction of binarised connection probabilities) uncovered how our developmental measures interconnected: educational outcomes (reading and maths fluency) were directly related to cognition (short-term memory, number sense, processing speed, inhibition). By contrast, mental health (anxiety and depression symptoms) and attitudes (conscientiousness, grit, growth mindset) showed indirect relationships with educational outcomes via cognition. Finally, socio-economic factors (neighbourhood deprivation, family affluence) related directly to educational outcomes, cognition, mental health, and even grit. In sum, cognition is a central cog through which mental health and attitude relate to educational outcomes. However, through direct relations with all components of developmental outcomes, socio-economic status acts as a great ‘unequaliser’.

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