EFFECT OF ASHWAGANDHA GHRITA AND ASHWAGANDHA GRANULES ON GROWTH W.S.R. OF BIOCHEMICAL VALUES

Imagination of a “Shareeramadyam khalu dharma sadhanam†is not the new slogan, but rooting to the depth of history of ancient Indian literatures. Brumhana therapy is very well documented in literary works from the antiquity by Charaka and Sushruta. The term Brumhana refers to increase in the size or bulk of the body which ultimately refers to growth. Charaka has indicated Brumhana therapy in both healthy and diseased conditions. The “Bhashajya Ratnavali†clearly refers regarding the potency and use of “Aswagangha Ghrit†for the purpose of Brumhana; especially for children. Thus an effort had been made to prove the validity of the growth (increase in bulk of Dhatus - cellular to molecular level) in paediatric practice with support of physical, haematological and biochemical evaluation and another venture was made on the unexplored topic of Ashwagandha Ghrita which is compared with Ashwagandha Granules.In this study total 111 children completed the treatment and they were randomly divided in three groups Viz. A, B & C. In Group-A, Ashwagandha Ghrita was administered in 41 children, In Group-B, Ashwagandha Granule was administered in 36 children, and in Group- C Placebo capsules was administered in 34 children, whereas better percentage of improvement was seen in Group A.

Genetic Algorithm and its Variants: Theory and Applications

The Genetic Algorithm is a popular optimization technique which is bio-inspired and is based on the concepts of natural genetics and natural selection theories proposed by Charles Darwin. The Algorithm functions on three basic genetic operators of selection, crossover and mutation. Based on the types of these operators GA has many variants like Real coded GA, Binary coded GA, Sawtooth GA, Micro GA, Improved GA, Differential Evolution GA. This paper discusses a few of the forms of GA and applies the techniques to the problem of Function optimization and System Identification. The paper makes a comparative analysis of the advantages and disadvantages of the different types of GA. The computer simulations illustrate the results. It also makes a comparison between the GA technique and Incremental LMS algorithm for System Identification

Nanoparticles in the soil environment and their behaviour : An overview

The increasing use of nanoparticles (NPs) in industries, soil and water remediation technologies, potential agricultural uses (e.g. fertilizers) and unintentional releases via air, water and sewage sludge application to the land likely leads to the release of such materials into the environment. The unique properties of NPs, such as high specific surface area, abundant reactive sites on the surface as a consequence of a large fraction of atoms located on the exterior rather than in the interior of NPs, as well as their mobility, could cause environmental hazards orpotentially harm soil health.It could be assumed that NPs may not have a direct influence on plant growth but may be responsible for the influence through indirect mechanisms. Light microscopy of root sections showed that the ZnO particles adsorbed into root tissues and cells and damaged the root tissues. Results from ecotoxicological studies show that certain NPs have effects on organisms under environmental conditions, though mostly at elevated concentrations. Nanominerals and mineral NPs in the environment have been present throughout the evolutionary development of hominids, and our exposure to these through inhalation, ingestion are important foci of nanotoxicology and environmental sciences. The more research on occurrence, characteristics of NPs and their behaviour in environment is needed towards a logical conclusion of the effects of NPs on environment

Design of an Internal Model Controller for Binary Distillation Column

In this report Internal Model Control, Lead- Lag based Internal Model Control and modified Internal Model Control for distillation column has been proposed. The prime objective of any industrial process is to perform efficiently with optimum cost reduction. Internal Model Control (IMC) is a commonly used technique that provides a transparent mode for the designing and easy tuning of control structure . I have designed the internal model control for binary distillation column .The transfer function has been taken from Wood and Berry model. The internal model control has been designed considering three strategies namely, process perfect, process mismatch with disturbances and process model with considering only disturbance. It has also been tried to reduce the disturbance created in the system by varying tuning parameter (ë). In the second proposal, Lead-Lag based Internal Model Control method is proposed based on Internal Model Control (IMC) strategy. We have also designed the Lead-Lag based Internal Model Control for binary distillation column. We have found the composition control and disturbance rejection using Lead-Lag based IMC and comparing with the response of generalize Internal Model Controller. Finally we have design the Modified Internal Model Structure, and find the response for binary distillation column and compare with generalize Internal Model Controller response. This thesis presents an Internal Model Control, lead- lag based internal model control and modified internal model control strategy for binary distillation column and comparing the response with each other. The aim is to provide a best strategy to control the distillation column that is favourable in terms of industrial implementation. I have used matlab software to simulate the all process

Vegetation condition index pattern (2002-2007) over Indian agro-climate regions, using of GIS and SPOT sensor NDVI data

This study describes the Vegetation Condition Index in the near-real-time with help of SPOT based Normalized Difference Vegetation Index (NDVI) for Agro climatic-region of India and gave the development pattern in last six year (2002-2007) over the study area of India using decadal time data set from SPOT satellite sensor for 2002-2007 time periods. The each Agro-climatic region of study, 1°x1° degree in area, part of India agro-climate regions, has been taken for analysis using remote sensing and Geographical Information System (RS and GIS)methods, SPOT satellite sensor NDVI data, and from processed data set (geo-referenced data set), cut out 1°x1° degree of area by preparing a layers representing Agro-climatic region of India as base mapping units (BMU),The results indicated that NDVI index is only water stress over vegetation while VCI is an appropriate index for vegetation pattern monitoring over study area. As satellite observations provide better spatial and temporal coverage, the VCI based system will provide efficient tools for management of the improvement of agricultural planning. This system will serve as a prototype in the other parts of the world where ground observations are limited or not available