55 research outputs found
Direct conversion of solar radiation to electricity by fabricated solar cells using ruthenium polypyridyl complexes
No full textIn the present work, an attempt is made to synthesize few ligands and use them in the synthesis of mixed ligand ruthenium complexes, containing dicarboxy bipyridine as the other ligand. The synthesized ligands and complexes are characterized by various methods. The effectiveness of the synthesized dyes for the sensitization of nanocrystalline TiO2 films was determined by employing them in regenerative thin layer sandwich type solar cells. The solar cell parameters Isc, Voc, fill factor (ff), IPCE and cell efficiency were measured for the cells fabricated.\u
Selective neurodegeneration of hippocampus and entorhinal cortex correlates with spatial learning impairments in rats with bilateral ibotenate lesions of ventral subiculum
No full textRats with bilateral ibotenic acid lesions of ventral subiculum were tested in an eight-arm radial maze task for spatial learning and memory functions. The performance of the lesioned rats was severely impaired relative to control rats in both acquisition and retention of the spatial task. Following subicular lesions, profound neurodegeneration of the CA1 and CA3 sub sectors of hippocampus and entorhinocortical layers I, II, III, V and VI was observed. These results support the concept that neurons in the ventral subiculum are a part of the neural network along with the above neurons, which could be involved in the processing of spatial information
Optimum statistical gridding technique for multi beam echo sounder (MBES) data processing
No full text
Circadian Rhythm of Ambient Noise Off the Southeast Coast of India
No full textAn ambient noise system consisting of a vertical linear hydrophone array was deployed in the shallow waters off Chennai, southeast coast of India from 1 August to 16 September 2013 to record ambient ocean noise of frequencies up to 10[Formula: see text]kHz. Biological sounds, which are broadband, short duration signals resulting from Terapon theraps, a native species, are a prominent feature of the ocean soundscape. Terapon activity peaks at 8[Formula: see text]pm and 11[Formula: see text]pm, and its presence is not observed after 12 midnight in both the months. In the other period, the ambient noise fluctuation is due to wind and vessel traffic. Hence, the present study focuses on the description of the ambient noise fluctuation over two 12[Formula: see text]h periods, i.e., 12 midnight–12 noon considered as period I, and 12 noon–12 midnight as period II in order to show the circadian rhythm of ambient noise. In this study area, Terapon vocalization reached 25[Formula: see text]dB above the ambient noise level and it dominates the short-term spectra records in the 0.4–4[Formula: see text]kHz range. All Terapon signals had daily patterns of sound production with highest levels of activity after dusk during the study period. The result shows that the circadian rhythm of ambient noise is mainly of biological sound generated by Terapon and it is reported first time in the shallow waters off the southeast coast of India.</jats:p
Data Protection Efforts in India: Blind Leading the Blind?
No full textThis paper, after establishing the need for effective data protection in India, goes on to describe the rudimentary measures taken in the country till date in the sphere of data protection. While highlighting the inadequacy of such measures and the ambiguity in proposed amendments, the author seeks inspiration from European Union law in proposing a broad framework for data protection law in India
Agricultural research and development in India and the cost of capital investment
No full textThe cost of research and development is a topic rarely explored for developing nations. The ability for a developing nation’s firms to acquire capital to invest in R&D is reflected by the government’s policies toward innovation, conditions affecting the acquisition of funds within the firm, conditions affecting the acquisition of funds outside the firm, and the availability of venture-capital financing and capital gains taxation. This thesis provides a compilation of some of the vast amount of economic literature on R&D, a unique framework surrounding the effect of cost on R&D, and an empirical test of the importance of the availability of capital as a determinant of R&D. The cost variables used include firm data on the annual borrowings, leverage, subsidies and grants, and interest rates. In addition, annual sales data, the age of the firm, and the Herfindahl-Hirschman Index (HHI) were used to include revenue-related aspects a firm faces that might affect R&D expenditure. Using an unbalanced Indian firm-level panel, the goal of this thesis is to analyze of the relationship between the cost of capital investment and R&D while also including revenue-related variables for the pesticide and fertilizer industries. The dataset used for this analysis comes from The Centre for Monitoring Indian Economy (CMIE) which includes 1989-90 until 2009-2010. In addition, it was supplemented with variables from IMF and survey data collected by Pray and Nagarajan (2013). The empirical analysis utilizes a Random Effects General Least Squares regression for two models with two variations with different dependent variables: R&D expenditure and R&D intensity. The results show that a firm’s level of debt and external financing are positively related to R&D to start, supporting the notion that a firm’s ability to acquire capital will affect its total R&D expenditure. However, debt is negatively related to R&D after a certain threshold is passed, supporting the concept of risk aversion among firms. In addition, the results supports previous literature which found that variables such as sales affect R&D positively. Finally, the results show that additional research is necessary to understand more fully the nature of cost in R&D investment.M.S.Includes bibliographical referencesby Victor A. Wan
Mushroom Dehydration: Properties and Commercial Applications / Implications
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
Feature Selection for Predicting Heart Disease Using Black Hole Optimization Algorithm and XGBoost Classifier
No full textAlmost -closed functions and separation axioms
No full textsummary:We introduce a new class of functions called almost -closed and use the functions to improve several preservation theorems of normality and regularity and also their generalizations. The main result of the paper is that normality and weak normality are preserved under almost -closed continuous surjections
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