scholarly journals A study on the growth, status and distribution of farmer producer organisations in West Bengal

2021 ◽  
Vol 10 (12S) ◽  
pp. 1503-1509
Author(s):  
Sayanton Mondal ◽  
Vijay K Choudhary ◽  
Bitan Mondal
Keyword(s):  
Author(s):  
Mithu Bhadra ◽  
◽  
Pabitra Paul ◽  
Tanima Das ◽  
Ashish Mukhopadhyay ◽  
...  

A cross-sectional study of 238 adolescent Bhumij boys aged 11-16 years of Khatra block, Bankura district of West Bengal, India was undertaken to study their physical growth and nutritional status. The subjects were classified into six age groups: 11-11.9 (n=35), 12-12.9 (n=41), 13-13.9 (n=39), 14-14.9 (n=45), 15-15.9 (n=40), 16-16.9 (n=38). Physical growth status (estimated by height and weight) was compared with national standard. Nutritional status (undernutrition) was determined by the age and sex specific BMI cutoffs (less than fifth percentile values) based on the National Health and Nutrition Examination Survey (NHANES I). Results shows that studied Bhumij boys were slightly shorter than the national standard at each age and heavier at late adolescence. The overall rate of undernutrition was 53.36%. The rates of undernutrition varied between 47.37% among 16 year olds to 57.50% at age 15 years. There was a gradual increasing trend of undernutrition from 11 to 15 years. Thereafter, there was a slight declining trend in the rates of undernutrition at age 16 (47.37%) years. In general, this study provided facts that the adolescent Bhumij boys had alarming rates of undernutrition. These rates of undernutrition were; in general, agree with the earlier Indian studies but higher than those found among adolescents in several developing countries.


Planta Medica ◽  
2007 ◽  
Vol 73 (09) ◽  
Author(s):  
M Gangopadhyay ◽  
R Bhattacharya ◽  
D Chakraborty ◽  
S Bhattacharya ◽  
A Mitra ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Pijush Basak

The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.


1949 ◽  
Vol 18 (15) ◽  
pp. 178-179
Author(s):  
Richard L. Park
Keyword(s):  

Asian Survey ◽  
1979 ◽  
Vol 19 (7) ◽  
pp. 718-727 ◽  
Author(s):  
Jnanabrata Bhattacharyya
Keyword(s):  

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