LAKSHMI NARAYAN LAL KE EKANKIYOM KA VISHLESHANATMAK ADHYAYAN

HINDI

Alterations in brainstem a2 adrenoreceptor activity in pyridoxine-deficient rat model of hypertension

Moderate pyridoxine deficiency in adult male Sprague-Dawley rats results in significant hypertension, associated with a general sympathetic stimulation , including an increase in the turnover of norepinephrine in the heart. Treatment of these rats with pyridoxine reversed blood pressure to normal within 24 h. Treatment of pyridoxine-deficient rats with clonidine or x-methyl dihydroxyphenylalanine (x-methyl DOPA) also reduced the blood pressure of these animals to normal . There was also a significant increase in the Bma, of high and low affinity [3H]p-amino-clonidine binding to crude synaptosomal membrane preparations of the brain stem of deficient rats indicating chronic underexposure of)(, adrenoreceptors to endogenous norepinephrin.

Some Efficient Representations of 3D Information based on Octress

The thesis introduced the octree and addressed the complete nature of problems encountered, while building and imaging system based on octrees. An efficient Bottom-up recursive algorithm and its iterative counterpart for the raster to octree conversion of CAT scan slices, to improve the speed of generating the octree from the slices, the possibility of utilizing the inherent parallesism in the conversion programme is explored in this thesis. The octree node, which stores the volume information in cube often stores the average density information could lead to “patchy”distribution of density during the image reconstruction. In an attempt to alleviate this problem and explored the possibility of using VQ to represent the imformation contained within a cube. Considering the ease of accommodating the process of compressing the information during the generation of octrees from CAT scan slices, proposed use of wavelet transforms to generate the compressed information in a cube. The modified algorithm for generating octrees from the slices is shown to accommodate the eavelet compression easily. Rendering the stored information in the form of octree is a complex task, necessarily because of the requirement to display the volumetric information. The reys traced from each cube in the octree, sum up the density en-route, accounting for the opacities and transparencies produced due to variations in density.

Studies on the reproductive physiology of lazes calcarifer (BLOCH)

At present, there is paucity of information regarding the breeding biology, especially from southeastern region, which differs in its climatic features from northeastern coastal areas, where some attempts have been made to study the biology of the fish, though not documented in detail (Jhingran and Natarajan, I969; Patnaik and Jena, 1976; Kowtal, 1977; Roy e_t _a_l_., I977). The present work, first to undertake detailed investigation into reproductive aspects of the fish from India is not only confined to biology, but extend to the study on histological as well as physiological changes in the processes associated with natural reproductive cycle. The main objective of the study is to develop a background for the standardisation of subsequent artificial propagation techniques for the Sea Dass The thesis is presented in three chapters. The first chapter; general introduction, surveys the literature pertaining to the status of research on Lates calcarifer with specific reference to reproduction and acquaculture. The second chapter entitled, materials and methods gives description regarding collection of specimens as well as samples in addition to the various analytical methodologies employed during the study.

Impact of climate change on hetrotrophic bacterial communities in the water and sediment of kongsfjord in norwegian artic

Considering the extent of warming in the artic region and the resultant changes in the dynamic marine enviornments there is a need to monitor the bacterial diversity in the fjord enviornments especially in terms of cultivable bacteria. The present study reports the diversity of cultivable hetrotrophic bacteria from the water and sediment samples of kongsfjord their growth responses to important enviornmental variables and ability to produce industrially important hydrolytic enzymes.

Characterisation and bioprospecting of cold adapted yeast from water samples of kongsfjord ,Norwegian Artic

A total of 34 yeast isolates were characterized from 4 water samples collected from Kongsfjord at Ny Alseund region of Norwegion Artic during the Indian Artic summer expedition of 2009.They were studied for the effect of tempereture and salt concentration on growth as well as for their ability to produce various hydrolytic enzymes at two different temperatures. Result showed that 5 out of 8 genera were common to all the stations. Cryptococcus was the predominant genera folowed by Trichosporan and Rhodotorula 82% of the yeast isolates were oxidative in nature and except filobasidium all the isolates used nitrate as a nitrogen source for growth. Yeast isolates from all the ststions showed growth at 4 and 20 degree centigarade. These temperatures were chosen as most of the bacterial and yeast isolates showed psychrotrop[hic nature. 94% of the yeast isolates showed growth at 2.0M and lipolytic activity were marginally less than 4.None of the isolates produced amylase enzymes when incubated at 4 and 20. The present study highlights the wide tolerence of the psychrotrophic yeast isolates to temperature and salinity as well as their potential in biotechnology

Risk Assessment of Rooftop- Collected Rainwater for Individual Household and Community Use in Central Kerala, India

Water quality of rooftop-collected rainwater is an issue of increased interest particularly in developing countries where the collected water is used as a source of drinking water. Bacteriological and chemical parameters of 25 samples of rooftop-harvested rainwater stored in ferrocement tanks were analyzed in the study described in this article. Except for the pH and lower dissolved oxygen levels, all other physicochemical parameters were within World Health Organization guidelines. Bacteriological results revealed that the rooftop-harvested rainwater stored in tanks does not often meet the bacteriological quality standards prescribed for drinking water. Fifty percent of samples of harvested rainwater for rural and urban community use and 20% of the samples for individual household use showed the presence of E. coli. Fecal coliform/fecal streptococci ratios revealed nonhuman animal sources of fecal pollution. Risk assessment of bacterial isolates from the harvested rainwater showed high resistance to ampicillin, erythromycin, penicillin, and vancomycin. Multiple antibiotic resistance (MAR) indexing of the isolates and elucidation of the resistance patterns revealed that 73% of the isolates exhibited MAR

Modeling of ALFA Programs Using PVS Theorem Prover

In Safety critical software failure can have a high price. Such software should be free of errors before it is put into operation. Application of formal methods in the Software Development Life Cycle helps to ensure that the software for safety critical missions are ultra reliable. PVS theorem prover, a formal method tool, can be used for the formal verification of software in ADA Language for Flight Software Application (ALFA.). This paper describes the modeling of ALFA programs for PVS theorem prover. An ALFA2PVS translator is developed which automatically converts the software in ALFA to PVS specification. By this approach the software can be verified formally with respect to underflow/overflow errors and divide by zero conditions without the actual execution of the code.

Modeling of ALFA Programs Using PVS Theorem Prover

In Safety critical software failure can have a high price. Such software should be free of errors before it is put into operation. Application of formal methods in the Software Development Life Cycle helps to ensure that the software for safety critical missions are ultra reliable. PVS theorem prover, a formal method tool, can be used for the formal verification of software in ADA Language for Flight Software Application (ALFA.). This paper describes the modeling of ALFA programs for PVS theorem prover. An ALFA2PVS translator is developed which automatically converts the software in ALFA to PVS specification. By this approach the software can be verified formally with respect to underflow/overflow errors and divide by zero conditions without the actual execution of the code

Model Diagnostics in the presence of measurement error

The problem of using information available from one variable X to make inferenceabout another Y is classical in many physical and social sciences. In statistics this isoften done via regression analysis where mean response is used to model the data. Onestipulates the model Y = µ(X) +ɛ. Here µ(X) is the mean response at the predictor variable value X = x, and ɛ = Y - µ(X) is the error. In classical regression analysis, both (X; Y ) are observable and one then proceeds to make inference about the mean response function µ(X). In practice there are numerous examples where X is not available, but a variable Z is observed which provides an estimate of X. As an example, consider the herbicidestudy of Rudemo, et al. [3] in which a nominal measured amount Z of herbicide was applied to a plant but the actual amount absorbed by the plant X is unobservable. As another example, from Wang [5], an epidemiologist studies the severity of a lung disease, Y , among the residents in a city in relation to the amount of certain air pollutants. The amount of the air pollutants Z can be measured at certain observation stations in the city, but the actual exposure of the residents to the pollutants, X, is unobservable and may vary randomly from the Z-values. In both cases X = Z+error: This is the so called Berkson measurement error model.In more classical measurement error model one observes an unbiased estimator W of X and stipulates the relation W = X + error: An example of this model occurs when assessing effect of nutrition X on a disease. Measuring nutrition intake precisely within 24 hours is almost impossible. There are many similar examples in agricultural or medical studies, see e.g., Carroll, Ruppert and Stefanski [1] and Fuller [2], , among others. In this talk we shall address the question of fitting a parametric model to the re-gression function µ(X) in the Berkson measurement error model: Y = µ(X) + ɛ; X = Z + η; where η and ɛ are random errors with E(ɛ) = 0, X and η are d-dimensional, and Z is the observable d-dimensional r.v.