199,939 research outputs found
Vice President of India, Shri M. Venkaiah Naidu releases ICAR-CMFRI’s Seed Production Technology of John’s Snapper ICAR Website
Get PDFShri M. Venkaiah Naidu, Vice President of India released the John’s Snapper Seed Production Technology and dedicated the Snapper Seeds in a function organized at the Visakhapatnam Regional Centre of ICAR-Central Marine Fisheries Research Institute, Kochi today. He handed-over the Snapper Seeds to two Progressive Fish Farmers hailing from the region
Microbial formation of volatile arsenic in cattle dip site soils contaminated with arsenic and DDT
No full textB.B Edvantoro, R Naidu, M Megharaj, G Merrington, I Singleto
Bioremediation of DDT-contaminated soil: enhancement by seaweed addition
No full textD Kantachote, R Naidu, B Williams, N McClure, M Megharaj, I Singleto
Spatial mismatch in Cape Town : business location and the impacts on workers
No full textIncludes bibliographical references (leaves 66-69).The south east and cape flats regions of Cape Town is home to abundant supplies of cheap and available unskilled labour. With the awareness that Cape Town may be slowly following the developmental path of Johannesburg and many other cities of the world, as decentralization, suburbanization, and the overall processes of economic 'tertiarisation' and urban transformation encompass the entire structure and culture of the city, we wonder about how the cities unskilled workforces are faring. Development has focused on the north of the city while the south east has been bypassed, causing residents to have to travel far out to find jobs and work. There is a clear spatial mismatch between places of work and places of residence for the workers of the South east, and overcoming this disconnection is challenged further by an inefficient and expensive public transport service, upon which they are fully dependent. By way of the interviews with businesses from various industrial areas in Cape Town, this thesis shows that many owners and management do not place much importance on where their workers, in particular unskilled and semi-skilled manual workers live and how they travel. It seems that when choosing a location for their businesses, size, price, and availability may limit owners' options of location choice and interviews reveal that owners may be responding to rather than driving development. Findings reveal that unskilled manual workers typically reside in the south east, while business owners, management and other white collar workers typically live in the northern and southern suburbs, as well as other central areas. Furthermore, transport patterns were evaluated and it is clear that the unskilled workers rely heavily on public transport while higher skilled occupational groups either have their own car, or are part of lift-clubs. The problem of a spatial mismatch is clearly skewed towards workers of the south east who rely on public transport, by intensifying the burdens of commuting times and costs. A further finding is that many businesses resort to highly informal methods of recruitment, such as word-of-mouth and internal referral techniques, revealing the significance of social networks in gaining access to job opportunities. This is especially important for workers trying to find employment in areas outside of the traditional economic nodes as it is expensive to commute to those areas regularly in search of employment. Having access to those businesses through employed family members, neighbours and relatives, is therefore critical
An efficient direct solution of cave-filling problems
Get PDFWaterfilling problems subjected to peak power constraints are solved, which are known as Cave-Filling Problems (CFP). The proposed algorithm finds both the optimum number of positive powers and the number of resources that are assigned the peak power before finding the specific powers to be assigned. The proposed solution is non-iterative and results in a computational complexity which is of the order of M, O(M), where M is the total number of resources, which is significantly lower than that of the existing algorithms given by an order of M2, O(M2), under the same memory requirement and sorted parameters. The algorithm is then generalized both to weighted CFP (WCFP) and WCFP requiring the minimum power. These extensions also result in a computational complexity of the order of M, O(M). Finally, simulation results corroborating the analysis are presented
Microbial activity and phospholipid fatty acid pattern in long-term tannery waste-contaminated soil
No full textSara P.B Kamaludeen, M Megharaj, R Naidu, I Singleton, A.L Juhasz, B.G Hawke, N Sethunatha
Object-Based Informal Settlement Mapping in Google Earth Engine Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data
No full textMapping informal settlements’ diverse morphological patterns remains intricate due to the unavailability and huge costs of high-resolution data, as well as the spatial heterogeneity of urban environments. The accessibility to high-spatial-resolution PlanetScope imagery, coupled with the convenience of simple non-iterative clustering (SNIC) algorithm within the Google Earth Engine (GEE), presents the potential for Geographic Object-Based Image Analysis (GEOBIA) to map the spatial morphology of deprivation pockets in a complex built-up environment of Durban. Such advances in multi-sensor satellite image inventories on GEE also afford the possibility to integrate data from sensors with different spectral characteristics and spatial resolutions for effective abstraction of informal settlement diversity. The main objective is to exploit Sentinel-1 radar data, Sentinel-2 and PlanetScope optical data fusion for more accurate and precise localization of informal settlements using GEOBIA, within GEE. The findings reveal that the Random Forests classification model achieved informal settlement identification accuracy of 87% (F-score) and overall accuracy of 96%. An assessment of agreement between observed informal settlement extents and ground truth dimensions was conducted through regression analysis, yielding root mean square log error (RMSLE) = 0.69 and mean absolute percent error (MAPE) = 0.28. The results demonstrate reliability of the classification model in capturing variability of spatial characteristics of informal settlements. The research findings confirm efficacy of combined advantages of GEOBIA within GEE, and integrated datasets for more precise capturing of characteristic morphologic informal settlement features. The outcomes suggest a shift from standard static conventional approaches towards more dynamic, on-demand informal settlement mapping through cloud computing, a powerful analysis platform that simplifies access to and the processing of voluminous data. The study has important implications for identifying the most effective ways to map informal settlements in a complex urban landscape, thus providing a benchmark for other regions with significant landscape heterogeneity
Bioactive potentials of ginger[Zingiber zerumbet].
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Potential of SPME technique for the analysis of Zingiber Zerumbet.
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
“Chemical composition and functional properties of Zingiber zerumbet L. Starch.
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
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