Generalized class of composite method of estimation for crop acreage in small domain

This paper defines and discusses a generalized class of composite estimators for small domains, using auxiliary information, under systematic sampling scheme. The generalized class of composite estimators, among others, includes a number of direct, synthetic and composite estimators. Further, it demonstrates the use of the estimators belonging to the generalized class for estimating crop acreage for small domains and also compares their relative performance with the corresponding direct and synthetic estimators, through a simulation study

Generalized class of composite method of estimation for crop acreage in small domain

This paper defines and discusses a generalized class of composite estimators for small domains, using auxiliary information, under systematic sampling scheme. The generalized class of composite estimators, among others, includes a number of direct, synthetic and composite estimators. Further, it demonstrates the use of the estimators belonging to the generalized class for estimating crop acreage for small domains and also compares their relative performance with the corresponding direct and synthetic estimators, through a simulation study

Synthetic and composite estimators for small area estimation under Lahiri – Midzuno sampling scheme

This paper studies performance of synthetic ratio estimator and composite estimator, which is a weighted sum of direct and synthetic ratio estimators, under Lahiri – Midzuno (L-M) sampling scheme. The synthetic estimator under L-M scheme is unbiased and consistent if the assumption of synthetic estimator is satisfied. Further, this paper compares performance of the synthetic and composite estimators empirically under L-M and SRSWOR schemes for estimating crop acreage for small domains. The study shows that both the estimators perform better under L-M scheme as having comparatively smaller absolute relative biases and relative standard errors

Generalized class of synthetic estimators for small areas under systematic sampling scheme

This paper defines and discusses a generalized class of synthetic estimators for small domain, using auxiliary information, under systematic sampling scheme. The generalized class of synthetic estimators, among others, includes the simple, ratio and product synthetic estimators. Further, it demonstrates the use of the generalized synthetic and ratio synthetic estimators for estimating crop acreage for small domain and also compares their relative performance with direct estimators, empirically, through a simulation study

Generalized class of synthetic estimators for small areas under systematic sampling scheme

This paper defines and discusses a generalized class of synthetic estimators for small domain, using auxiliary information, under systematic sampling scheme. The generalized class of synthetic estimators, among others, includes the simple, ratio and product synthetic estimators. Further, it demonstrates the use of the generalized synthetic and ratio synthetic estimators for estimating crop acreage for small domain and also compares their relative performance with direct estimators, empirically, through a simulation study

Mushrooms for integrated and diversified nutrition

            Mushrooms were considered as “Objects of mystery” by the primitive man, and were realized as food much before civilization. Mushrooms have been variously used in different cultures from being priced as “Food of Gods” in the Roman culture to tools of psychological sedation for the Mexican warriors. Most of the edible mushrooms are saprophytic growing on decomposed organic plant matter. Mushrooms play varied and important roles in human nutrition and health. They are unique nutrition dense vegetables with quality high protein, very low fat, zero cholesterol, low carbohydrates, low glycemic index, high fiber, good cardiac friendly sodium to potassium ratio and some unique bioactive compounds like ergothioneine and polysaccharides. These unique nutritive properties of mushrooms make them a recommended food for diabetics, body weight management, hypertension and cardiac well-being. The concept of selenium rich mushrooms for slowing down the progress of AIDS has been gaining importance in the recent years. Apart from being a healthy vegetable, the unique lignocellulosic waste-based production system of mushrooms makes them the most ecofriendly zero waste green technology with immense environmental benefits (Gupta et al., 2004, Jain et al., 2014 and & Pandey et al., 2014). Despite many environmental and nutritional benefits; mushrooms yet have not become a part of daily nutrition in the Indian diet and the per capita consumption still remains very low at 70 grams per annum. There is a need to educate and enhance the awareness among the people about the nutritional and health potential of mushrooms. There is also the need to draw the attention towards integrating mushroom technology in successful agro-residue management programs, livelihood programs, national nutrition programs and women empowerment and rural development schemes which ultimately culminate in providing better daily nutrition

High-resolution spectroscopy of the R Coronae Borealis and Other Hydrogen Deficient Stars

High-resolution spectroscopy is a very important tool for studying stellar physics, perhaps, particularly so for such enigmatic objects like the R Coronae Borealis and related Hydrogen deficient stars that produce carbon dust in addition to their peculiar abundances. Examples of how high-resolution spectroscopy is used in the study of these stars to address the two major puzzles are presented: (i) How are such rare H-deficient stars created? and (ii) How and where are the obscuring soot clouds produced around the R Coronae Borealis stars?Comment: 16 pages, 9 figures, Astrophysics and Space Science Proceedings, Springer-Verlag, Berlin, 201

Electroosmotic flow of biorheological micropolar fluids through microfluidic channels

An analysis is presented in this work to assess the influence of micropolar nature of fluids in fully developed flow induced by electrokinetically driven peristaltic pumping through a parallel plate microchannel. The walls of the channel are assumed as sinusoidal wavy to analyze the peristaltic flow nature. We consider that the wavelength of the wall motion is much larger as compared to the channel width to validate the lubrication theory. To simplify the Poisson Boltzmann equation, we also use the Debye-Hückel linearization (i.e. wall zeta potential ≤ 25mV). We consider governing equation for micropolar fluid in absence of body force and couple effects however external electric field is employed. The solutions for axial velocity, spin velocity, flow rate, pressure rise and stream functions subjected to given physical boundary conditions are computed. The effects of pertinent parameters like Debye length and Helmholtz-Smoluchowski velocity which characterize the EDL phenomenon and external electric field, coupling number and micropolar parameter which characterize the micropolar fluid behavior, on peristaltic pumping are discussed through the illustrations. The results show that peristaltic pumping may alter by applying external electric fields. This model can be used to design and engineer the peristalsis-lab-on-chip and micro peristaltic syringe pumps for biomedical applications

Low frequency view of GRB 190114C reveals time varying shock micro-physics

We present radio and optical afterglow observations of the TeV-bright long gamma-ray burst 190114C at a redshift of z = 0.425, which was detected by the Major Atmospheric Gamma Imaging Cherenkov telescope. Our observations with Atacama Large Millimeter/submillitmeter Array, Australia Telescope Compact Array, and upgraded Giant Metre-wave Radio Telescope were obtained by our low frequency observing campaign and range from ∼1 to ∼140 d after the burst and the optical observations were done with three optical telescopes spanning up to ∼25 d after the burst. Long-term radio/mm observations reveal the complex nature of the afterglow, which does not follow the spectral and temporal closure relations expected from the standard afterglow model. We find that the microphysical parameters of the external forward shock, representing the share of shock-created energy in the non-thermal electron population and magnetic field, are evolving with time. The inferred kinetic energy in the blast-wave depends strongly on the assumed ambient medium density profile, with a constant density medium demanding almost an order of magnitude higher energy than in the prompt emission, while a stellar wind-driven medium requires approximately the same amount energy as in prompt emission

Mapping child growth failure across low- and middle-income countries

Childhood malnutrition is associated with high morbidity and mortality globally1. Undernourished children are more likely to experience cognitive, physical, and metabolic developmental impairments that can lead to later cardiovascular disease, reduced intellectual ability and school attainment, and reduced economic productivity in adulthood2. Child growth failure (CGF), expressed as stunting, wasting, and underweight in children under five years of age (0�59 months), is a specific subset of undernutrition characterized by insufficient height or weight against age-specific growth reference standards3�5. The prevalence of stunting, wasting, or underweight in children under five is the proportion of children with a height-for-age, weight-for-height, or weight-for-age z-score, respectively, that is more than two standard deviations below the World Health Organization�s median growth reference standards for a healthy population6. Subnational estimates of CGF report substantial heterogeneity within countries, but are available primarily at the first administrative level (for example, states or provinces)7; the uneven geographical distribution of CGF has motivated further calls for assessments that can match the local scale of many public health programmes8. Building from our previous work mapping CGF in Africa9, here we provide the first, to our knowledge, mapped high-spatial-resolution estimates of CGF indicators from 2000 to 2017 across 105 low- and middle-income countries (LMICs), where 99 of affected children live1, aggregated to policy-relevant first and second (for example, districts or counties) administrative-level units and national levels. Despite remarkable declines over the study period, many LMICs remain far from the ambitious World Health Organization Global Nutrition Targets to reduce stunting by 40 and wasting to less than 5 by 2025. Large disparities in prevalence and progress exist across and within countries; our maps identify high-prevalence areas even within nations otherwise succeeding in reducing overall CGF prevalence. By highlighting where the highest-need populations reside, these geospatial estimates can support policy-makers in planning interventions that are adapted locally and in efficiently directing resources towards reducing CGF and its health implications. © 2020, The Author(s)