EVALUATION OF COST EFFECTIVE ORGANIC FERTILIZERS

Organic farming/products are becoming very necessary in today’s world to control ecosystem health and to impart related human health benefits, world over there is growing demand for organic produce. A field experiment was conducted at the research farm of Kilpest India Ltd., Bhopal, during 2009 on rice using BGA Chlorella pyrenoidosa and Nostoc muscorum and biological hydrolysate of Soybean .These treatments were compared with recommended dose of Fytozyme. Currently, fytozyme (40% chemically hydrolysed protein solution) is being used as organic fertilizer world over which was taken as positive control. Cost of all the organic amendments were considered and kept at par with the Fytozyme. Results revealed a significant increase in growth parameters and straw yield in plot treated with Chlorella pyrenoidosa. Grain yield was also higher in C. pyrenoidosa (3.35 t/ha) followed by Fytozyme (3.05 t/ha) and Nostoc as well as biological Soy hydrolysate (both 2.81 t/ha). Thus concluding a better viable organic product

The Vanishing Role of Money in the Macroeconomy - An Empirical Investigation Based On Spectral and Wavelet Analysis

The recent de-emphasizing of the role of money in both theoretical macroeconomics as well as in the practical conduct of monetary policy sits uneasily with the idea that inflation is a monetary phenomenon. Empirical evidence has, however, been accumulating, pointing to an important leading indicator role for money and credit aggregates with respect to long term inflationary trends. Such a role could arise from monetary aggregates furnishing a nominal anchor for inflationary expectations, from their influence on the term structure of interest rates and from their affecting transactions costs in markets. Our paper attempts to assess the informational content role of money in the Indian economy by a separation of these effects across time scales and frequency bands, using the techniques of wavelet analysis and band spectral analysis respectively. Our results indicate variability of causal relations across frequency ranges and time scales, as also occasional causal reversals.Money, inflation, Cointegration, Causality, Decomposition, band spectra, wavelets

FogGIS: Fog Computing for Geospatial Big Data Analytics

Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog-based framework named Fog GIS for mining analytics from geospatial data. We built a prototype using Intel Edison, an embedded microprocessor. We validated the FogGIS by doing preliminary analysis. including compression, and overlay analysis. Results showed that Fog computing hold a great promise for analysis of geospatial data. We used several open source compression techniques for reducing the transmission to the cloud.Comment: 6 pages, 4 figures, 1 table, 3rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (09-11 December, 2016) Indian Institute of Technology (Banaras Hindu University) Varanasi, Indi

DEVELOPING FIJI: MEASURING THE CONCERNS OF PRE-SERVICE STUDENTS FOR ICT IN EDUCATION

The intrusion of technologies in our daily lives has increased the competition in almost all the fields and due to this, the scholars of the present times are expected to be equipped with better problem solving skills, technofriendly nature and critical analysis abilities. In order to provide the necessary guidance to the students of modern times, it is necessary for the teachers to encourage the students to opt for more technical approach in the studies. The approach of the teachers, however, does not seem to be one minded. While some of them have accepted the changes in conventional teaching methods whole heartedly, there are still some who have out rightly rejected the idea of this change. In this research, we have analyzed the approach of the pre-service students who are pursuing bachelor of education in Social Science from Fiji National University, one of the leading universities of Republic of Fiji. For this analysis, we have used CBAM model which has been widely used since years for measuring concerns of people regarding the changes in the working environment. In our analysis, it was concluded that the pre-service students had high concerns at the Selforiented levels while a very low concern was shown at the external levels (Consequence, Collaboration and Refocusing). We have also pointed out some of the solutions that can lead these students to develop their concerns from internal level to external levels

EVALUATION OF COST EFFECTIVE ORGANIC FERTILIZERS

ABSTRACT Organic farming/products are becoming very necessary in today's world to control ecosystem health and to impart related human health benefits, world over there is growing demand for organic produce. A field experiment was conducted at the research farm of Kilpest India Ltd., Bhopal, during 2009 on rice using BGA Chlorella pyrenoidosa and Nostoc muscorum and biological hydrolysate of Soybean .These treatments were compared with recommended dose of Fytozyme. Currently, fytozyme (40% chemically hydrolysed protein solution) is being used as organic fertilizer world over which was taken as positive control. Cost of all the organic amendments were considered and kept at par with the Fytozyme. Results revealed a significant increase in growth parameters and straw yield in plot treated with Chlorella pyrenoidosa. Grain yield was also higher in C. pyrenoidosa (3.35 t/ha) followed by Fytozyme (3.05 t/ha) and Nostoc as well as biological Soy hydrolysate (both 2.81 t/ha). Thus concluding a better viable organic product

Prevalence and co-infection of Toxoplasma gondii and Neospora caninum in Apodemus sylvaticus in an area relatively free of cats

The protozoan parasite Toxoplasma gondii is prevalent worldwide and can infect a remarkably wide range of hosts despite felids being the only definitive host. As cats play a major role in transmission to secondary mammalian hosts, the interaction between cats and these hosts should be a major factor determining final prevalence in the secondary host. This study investigates the prevalence of T. gondii in a natural population of Apodemus sylvaticus collected from an area with low cat density (<2·5 cats/km2). A surprisingly high prevalence of 40·78% (95% CI: 34·07%–47·79%) was observed despite this. A comparable level of prevalence was observed in a previously published study using the same approaches where a prevalence of 59% (95% CI: 50·13%–67·87%) was observed in a natural population of Mus domesticus from an area with high cat density (>500 cats/km2). Detection of infected foetuses frompregnant dams in both populations suggests that congenital transmission may enable persistence of infection in the absence of cats. The prevalences of the related parasite, Neospora caninum were found to be low in both populations (A. sylvaticus: 3·39% (95% CI: 0·12%–6·66%); M. domesticus: 3·08% (95% CI: 0·11%–6·05%)). These results suggest that cat density may have a lower than expected effect on final prevalence in these ecosystems

Comparative analysis of the area of existing land use and master plan of Adigrat Town

In this paper area of existing land use and master plan of Adigrat town was compared. To map the existing landuse of the town Areal images with 15 cm spatial resolution were used. Geodatabase created be Ethiopian mapping agency was used to collect information of land parcels. Land parcels were classified, codified, analyzed with percentage analysis and mapped based on field survey and master plan of Adigrat town. Master plan map prepared by municipal office was changed from CAD format to shape file format. The area of existing land use was compared with the area master plan of the town.As a result growth was calculated in the area of ward no. one as 5.17%, ward no. two as 26.59% ward no. three as 7.25%, ward no. four as 33.23%, ward no. five as 4.49% and ward no. six as 6.02%