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Search Results: 1 - 10 of 1251 matches for " Jha Sangeeta "
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Tailoring phase slip events through magnetic doping in superconductor-ferromagnet composite films
Ambika Bawa,Rajveer Jha,Sangeeta Sahoo
Physics , 2015, DOI: 10.1038/srep13459
Abstract: The interplay between superconductivity (SC) and ferromagnetism (FM) when embedded together has attracted unprecedented research interest due to very rare coexistence of these two phenomena. The focus has been mainly put into the proximity induced effects like, coexistence of magnetism and superconductivity, higher critical current, triplet superconductivity etc. However, very little attention has been paid experimentally to the role of magnetic constituent on triggering phase slip processes in the composite films (CFs). We demonstrate that less than 1 at. % of magnetic contribution in the CFs can initiate phase slip events efficiently. Due to advanced state-of-the-art fabrication techniques, phase slip based studies have been concentrated mainly on superconducting nanostructures. Here, we employ wide mesoscopic NbGd based CFs to study the phase slip processes. Low temperature current-voltage characteristics (IVCs) of CFs show stair-like features originated through phase slip events and are absent in pure SC films. Depending on the bias current and temperature, distinct regions, dominated by Abrikosov type vortex-antivortex (v-av) pairs and phase slip events, are observed. The results presented here open a new way to study the phase slip mechanism, its interaction with v-av pairs in two dimensions and hence can be useful for future photonic and metrological applications
Conns′ syndrome - atypical presentations
Hari Kumar KVS,Jha Sangeeta,Jha Ratan,Modi K
Saudi Journal of Kidney Diseases and Transplantation , 2009,
Abstract: Primary hyperaldosteronism (Conns′ syndrome) commonly presents with a combi-nation of clinical features of hypokalemia and hypertension. Atypical presentations like normo-tension, normokalemia and neurological ailments are described in few cases. We encountered two such cases, the first presenting with acute neurological complaint and second case having insig-nificant hypertension. Both the patients had a characteristic biochemical and imaging profile consistent with primary hyperaldosteronism and responded to surgical resection of adrenal adenoma.
Regionalization of River Basins Using Cluster Ensemble  [PDF]
Sangeeta Ahuja
Journal of Water Resource and Protection (JWARP) , 2012, DOI: 10.4236/jwarp.2012.47065
Abstract: In the wake of global water scarcity, forecasting of water quantity and quality, regionalization of river basins has attracted serious attention of the hydrology researchers. It has become an important area of research to enhance the quality of prediction of yield in river basins. In this paper, we analyzed the data of Godavari basin, and regionalize it using a cluster ensemble method. Cluster Ensemble methods are commonly used to enhance the quality of clustering by combining multiple clustering schemes to produce a more robust scheme delivering similar homogeneous basins. The goal is to identify, analyse and describe hydrologically similar catchments using cluster analysis. Clustering has been done using RCDA cluster ensemble algorithm, which is based on discriminant analysis. The algorithm takes H base clustering schemes each with K clusters, obtained by any clustering method, as input and constructs discriminant function for each one of them. Subsequently, all the data tuples are predicted using H discriminant functions for cluster membership. Tuples with consistent predictions are assigned to the clusters, while tuples with inconsistent predictions are analyzed further and either assigned to clusters or declared as noise. Clustering results of RCDA algorithm have been compared with Best of k-means and Clue cluster ensemble of R software using traditional clustering quality measures. Further, domain knowledge based comparison has also been performed. All the results are encouraging and indicate better regionalization of the Godavari basin data.
Rating Curve Estimation of Surface Water Quality Data Using LOADEST  [PDF]
Bhasker Jha, Manoj Kumar Jha
Journal of Environmental Protection (JEP) , 2013, DOI: 10.4236/jep.2013.48099
Abstract:

Measurement of the nutrient concentrations in the stream is usually done on weekly, biweekly or monthly basis due to limited resources. There is need to estimate concentration and loads during the period when no data is available. The objectives of this study were to test the performance of a suite of regression models in predicting continuous water quality loading data and to determine systematic biases in the prediction. This study used the LOADEST model which includes several predefined regression models that specify the model form and complexity. Water quality data primarily nitrogen and phosphorus from five monitoring stations in the Neuse River Basin in North Carolina, USA were used in the development and analyses of rating curves. We found that LOADEST performed generally well in predicting loads and observation trends with general tendency/bias towards overestimation. Estimated Total Nitrogen (TN) varied from observation (“true” load) by -1% to 9%, but for the Total Phosphorus (TP) it ranged from -2% to 27%. Statistical evaluation using R2, Nash-Sutcliff Efficiency (NSE) and Partial Load Factor (PLF) showed a strong correlation in prediction.

Prospects of Low Cost Housing in India  [PDF]
Swaptik Chowdhury, Sangeeta Roy
Geomaterials (GM) , 2013, DOI: 10.4236/gm.2013.32008
Abstract:

The paper presents work on low-cost and sustainable alternative building materials having advantages on areas such as India where concrete or steel housing is expensive. The project addresses the challenges and stereotypes of using these materials as a structural component for low-cost housing and their same capacity for adaptation to the broad spectrum of factors—physical, ecological, social, economic and technical—through different products developed which can dictate the production of the construction environment.

Stem cell technologies in human health: Boon or bane?  [PDF]
Madhavi Tripathi, Sangeeta Singh
Journal of Biosciences and Medicines (JBM) , 2015, DOI: 10.4236/jbm.2015.311002
Abstract: The stem cells of an organism only possess extraordinary capacity to change into different cell types during the early life and growth of an organism. When these stem cells divide into different new cells, these either remain as stem cells or develop to become other cells with specialized function. For this reason, stem cells offer direct relevance to human health, as theoretically, using stem cell technology, different organs are expected to be regenerated. To this, the Human Embryonic Stem Cells (HESCs) are natural pluripotent cell, but ethical issues covering many countries have put research work on a bit back-foot. However, the Induced Pluripotent Stem Cells (iPSCs) technology has completely revitalized the world to use this technology universally and it therefore seems that more research on this technology will surely be of enormous help in public health. In addition, application of the stem cell technology in personalized-medicine has been started recently. In this concern, the stem cell banking facilities have provided new avenues for preserving the cord blood of the new-borne child and treat them in future by using her/his own preserved stem cells. However, like all new technologies, the output from stem cell research requires to be evaluated more closely. Furthermore, with proper guidelines on ethical issues and extended research following these strategies, the stem cell technology is expected to not only be of huge benefit to human health, but also the benefit can be extended to the survival of endangered animals as well.
Regionalization of Rainfall Using RCDA Cluster Ensemble Algorithm in India  [PDF]
Sangeeta Ahuja, C. T. Dhanya
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.58065
Abstract: The magnitude and frequency of precipitation is of great significance in the field of hydrologic and hydraulic design and has wide applications in varied areas. However, the availability of precipitation data is limited to a few areas, where the rain gauges are successfully and efficiently installed. The magnitude and frequency of precipitation in ungauged sites can be assessed by grouping areas with similar characteristics. The procedure of grouping of areas having similar behaviour is termed as Regionalization. In this paper, RCDA cluster ensemble algorithm is employed to identify the homogeneous regions of rainfall in India. Cluster ensemble methods are commonly used to enhance the quality of clustering by combining multiple clustering schemes to produce a more robust scheme delivering similar homogeneous regions. The goal is to identify, analyse and describe hydrologically similar regions using RCDA cluster ensemble algorithm. RCDA cluster ensemble algorithm, which is based on discriminant analysis. The algorithm takes H base clustering schemes each with K clusters, obtained by any clustering method, as input and constructs discriminant function for each one of them. Subsequently, all the data tuples are predicted using H discriminant functions for cluster membership. Tuples with consistent predictions are assigned to the clusters, while tuples with inconsistent predictions are analyzed further and either assigned to clusters or declared as noise. RCDA algorithm has been compared with Best of K-means and Clue cluster ensemble of R software using traditional clustering quality measures. Further, domain knowledge based comparison has also been performed. All the results are encouraging and indicate better regionalization of the rainfall in different parts of India.
HIGHER EDUCATION AND DALIT WOMEN: THE QUESTION OF ACCESS INCLUSIVITY AND EQUITY
SANGEETA KRISHNA
Golden Research Thoughts , 2013, DOI: 10.9780/22315063
Abstract: Education is a powerful instrument of social change, especially for a society in which the majority are deprived, marginalized and excluded. Education is a corner stone of economic growth and social development and a principal means of improving the welfare of individuals.( World Bank,1998) Today in the fast-growing knowledge economy, education particularly, higher education, is a prerequisite not only for competitive success but for sheer survival as well. This is especially so in the case of marginalized groups, which are deprived of the material means of production. For coming out of the state of marginalisation and getting involved in the new economy, knowledge and skills acquired through modern formal education is essential. For the marginalised, higher education is not only a means of seeking better economic opportunities but also an effective instrument for social liberation. Thus, higher education is significant, both for its 'intrinsic' value and instrumental role.
CHALLENGES ENCOUNTERED BY A DISTANCE LEARNING ORGANISATION
Sangeeta MALIK
The Turkish Online Journal of Distance Education , 2012,
Abstract: This study explores; the rapid growth of the adult learner population is increasing the demand of distance learning techniques. The demographic study of the learners will help target the adult learner population and proper training will help organizations to develop course materials and techniques appropriately.
DISTANCE EDUCATOR: A Multiskill Personality
Sangeeta MALIK
The Turkish Online Journal of Distance Education , 2013,
Abstract: When we talk about a distance educator and a conventional educator the difference we found nd about both of them is that, a distance educator needs to play multiple roles as compared to a conventional educator. They require more skills and knowledge cater to the needs of the learner. In this article we will cover all the responsible areas of a distance educator & why we should consider them as a multiskill personality?
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