Development of Livelihood Index for Different Agro-Climatic Zones of India

A livelihood index has been developed for different agro-climatic zones of India, based on the secondary data for TE 2003. Six different sub-indices obtained are indicators of Infrastructure Status, Agricultural Status, Nutritional Status, Economic Status, Health and Sanitation Status and Food Availability Status in respective zones. A total of 57 variables have been considered for this study. Finally, a composite integrated livelihood index has been developed which indicates the livelihood status of different agro-climatic zones in the country. Also, 103 districts of low agricultural productivity have been identified within low livelihood regions. The results of this study have been compared with those of backward districts identified under Wage Employment Program by the Task Force of Planning Commission of India. It is found that about 60 per cent districts identified in this study are the same as identified by the Task Force. Further, the spatial distributions of the identified districts under the study have been mapped using GIS maps and it has been observed that almost same region of the country has been found to be most backward in both the studies. The study has revealed regional disparity in the development process and has suggested to formulate appropriate policies to bridge this disparity gap.Productivity Analysis, Resource /Energy Economics and Policy,

Acceptance for Human Papilloma virus vaccines, experience at tertiary care centre of northern india: a hospital-based survey

Background: Acceptance of HPV vaccine is varying widely worldwide in   range of 10-70%. For increasing the acceptability for HPV vaccine, finding the obstacles and catering them diligently is required. The aim of the study was to find out acceptability rate for HPV vaccine in northern India and various obstacles and facilitators affecting acceptance of HPV vaccine.Methods: A questionnaire based descriptive study was done in the Department of Obstetrics and Gynecology of King George Medical University, Lucknow, Uttar Pradesh, India from June 2016 to June 2017.  Questionnaire was filled by doctor after taking face to face interview of individuals. Ethical approval was obtained from the Institutional Ethical Committee of the KGMU, Lucknow, Uttar Pradesh, India. (1689/Ethics/R cell/17) acceptability rate and various facilitators and obstacles for HPV vaccine were studied. For continuous variables mean with standard deviation was used. For categorical variables frequencies and percentages were used. IBM SPSS statistics applied.Results: A total of 302 cases were face to face interviewed, amongst which, 70 cases (23%) showed acceptability and 232 did not accept the vaccine. The most common obstacles were lack of knowledge and high monetary cost being the cause of nonacceptance in 48.3% and   33.6% of cases respectively.Conclusions: Higher level of awareness and knowledge about HPV vaccine and inclusion in government immunization programmed may increase acceptability

Implementation of Full Adder Using CMOS And DFAL Adiabatic Logic

Power dissipation has always been a major concern in today’s world. With increase in technology, sizing and power consumption is a great analyzing parameter. Thus, each year new technologies are designed to meet the requirements using adiabatic techniques. Adder possesses importance in designing of ALU, digital signal processing, ripple counter.  Designing of adder using conventional technique (CMOS) often create complexity and sizing issue with more energy dissipation. In this way, thus structuring adder with adiabatic system to determine previously mentioned issues. Here in this paper full adder is planned first utilizing CMOS procedure and after that utilizing DFAL (diode free adiabatic rationale) method and accordingly contrasting outcomes and ordinary cmos circuit

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Not AvailableSample survey is a cost effective mean to collect reliable information about a finite population. There are various sampling methodologies, among them two-phase sampling is generally used for estimating population mean or total under the two different situations. First, when the information of the auxiliary variable is not readily available and the other condition is when it is vey expensive to gather information on characteristic under study y, but it is comparatively cheaper to gather information on the variables which are highly correlated with the characteristic under study. In large scale surveys, two-phase sampling approach is proposed in order to reduce the number of sampled units which require the more expensive objective methods. Prediction approach is applied to predict the non-sampled units in surveys. In the large preliminary sample (first phase sample) of two-phase sampling, there are total n'- n non-sampled units having auxiliary information, so there is a need to develop an estimator based on prediction approach under finite population. In the present study, we have proposed a new estimator of finite population total based on prediction approach in the context of two-phase sampling.Not Availabl

Electronics design and development of Near-Infrared Imager, Spectrometer and Polarimeter

NISP, a multifaceted near-infrared instrument for the upcoming 2.5m IR telescope at MIRO Gurushikhar, Mount Abu, Rajasthan, India is being developed at PRL, Ahmedabad. NISP will have wide (FOV = 10' x 10') field imaging, moderate (R=3000) spectroscopy and imaging polarimetry operating modes. It is designed based on 0.8 to 2.5 micron sensitive, 2048 X 2048 HgCdTe (MCT) array detector from Teledyne. Optical, Mechanical and Electronics subsystems are being designed and developed in-house at PRL. HAWAII-2RG (H2RG) detector will be mounted along with controlling SIDECAR ASIC inside LN2 filled cryogenic cooled Dewar. FPGA based controller for H2RG and ASIC will be mounted outside the Dewar at room temperature. Smart stepper motors will facilitate motion of filter wheels and optical components to realize different operating modes. Detector and ASIC temperatures are servo controlled using Lakeshore's Temperature Controller (TC) 336. Also, several cryogenic temperatures will be monitored by TC for health checking of the instrument. Detector, Motion and Temperature controllers onboard telescope will be interfaced to USB Hub and fiber-optic trans-receiver. Remote Host computer interface to remote end trans-receiver will be equipped with in-house developed GUI software to control all functionalities of NISP. Design and development aspects of NISP Electronics will be presented in this conference.Comment: 6 pages, 3 figures, Submitted to SPIE Conference Astronomical Telescopes + Instrumentation 202

Strategies for identifying stable lentil cultivars (Lens culinaris Medik) for combating hidden hunger, malnourishment, and climate variability

Iron and zinc malnutrition is a global humanitarian concern that mostly affects newborns, children, and women in low- and middle-income countries where plant-based diets are regularly consumed. This kind of malnutrition has the potential to result in a number of immediate and long-term implications, including stunted growth, an elevated risk of infectious diseases, and poor development, all of which may ultimately cause children to not develop to the fullest extent possible. A determination of the contributions from genotype, environment, and genotype by environment interactions is necessary for the production of nutrient-dense lentil varieties that offer greater availability of iron and zinc with a high level of trait stability. Understanding the genotype and environmental parameters that affect G x E (Genotype x Environment) interactions is essential for plant breeding. We used GGE(Genotype, Genotype x Environment interactions) and AMMI (Additive Main effects and Multiplicative Interaction) models to study genetic stability and GE(Genotype x Environment interactions) for grain Fe, Zn, Al, and anti-nutritional factors like phytic acid content in sixteen commercially produced lentil cultivars over several different six geographical locations across India. Significant genetic variability was evident in the Fe and Zn levels of different genotypes of lentils. The amounts of grain iron, zinc, and phytic acid varied from 114.10 to 49.90 mg/kg, 74.62 to 21.90 mg/kg, and 0.76 to 2.84 g/100g (dw) respectively. The environment and GE (Genotype x Environment interactions) had an impact on the concentration of grain Fe, Zn, and phytic acid (PA). Heritability estimations ranged from low to high (53.18% to 99.48%). The study indicated strong correlation between the contents of Fe and Zn, a strategy for simultaneously increasing Fe and Zn in lentils may be recommended. In addition, our research revealed that the stable and ideal lentil varieties L4076 (Pusa Shivalik) for Fe concentration and L4717 (Pusa Ageti) for Zn content, which have lower phytic acid contents, will not only play an essential role as stable donors in the lentil bio-fortification but will also enable the expansion of the growing area of bio-fortified crops for the security of health and nutrition

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Not AvailableIn this study, an attempt has been made to improve the sampling strategy incorporating spatial dependency at estimation stage considering usual aerial sampling scheme, such as simple random sampling, when the underlying population is finite and spatial in nature. Using the distances between spatial units, an improved method of estimation, viz. spatial estimation procedure, has been proposed for the estimation of finite population mean. Further, rescaled spatial bootstrap (RSB) methods have been proposed for approximately unbiased estimation of variance of the proposed spatial estimator (SE). The properties of the proposed SE and its corresponding RSB methods were studied empirically through simulation.Not Availabl

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Not AvailableHorticulture sector, a significant sector of agriculture, has emerged as an important component of the Indian economy contributing more than one-fourth share in the economy of agriculture and allied sectors. Fruits and vegetables account for nearly 90% of the total horticulture production in the country. Availability of reliable statistics about area and production of these crops at various levels has been one of the basic requirements of proper planning for increasing the production of these crops in the country. The estimates of area and production of important fruits and vegetables were obtained under the scheme “Crop Estimation Survey on Fruits and Vegetables (CES - F&V)” only for eleven states. An alternative sampling methodology for estimation of area and production of different horticultural crops was developed by Ahmad et al. (2011). In this paper, an attempt was made to estimate the area, production and productivity of important fruits and vegetables for Himachal Pradesh State using the alternative sampling methodology. Optimum sample size was also determined for obtaining reliable estimates of production of fruits and vegetablesNot Availabl