PHYTOCHEMICAL ANALYSIS AND COMPARATIVE ANTIPARKINSON ACTIVITY OF FOUR SPECIES OF MUCUNA

Objective: The aim was to study the antiparkinson activity in the seed extracts of four species of Mucuna.Methods: The hydroalcoholic extracts of seeds of four species of Mucuna were evaluated for antiparkinson activity of after a preliminary phytochemical study. The activity was measured in rats by indirectly measuring the decrease in malondialdehyde level, decrease in tongue protrusion frequency, and reduction in vacuous chewing movement after administering reserpine at the dose of 1 mg/kg. The dose levels of four species of Mucuna seed extract were kept at 100, 200, and 300 mg/Kg.Results: Extracts exhibited potent antiparkinson activity and achieved statistically significant p values compared with control group. The study corroborates and compares all four species of Mucuna. Conclusion: Among the extracts, the highest percentage of antiparkinson activity was recorded for Mucuna pruriens

NCL Implementation of Dual-Rail 2\u3csup\u3eS\u3c/sup\u3e Complement 8x8 Booth2 Multiplier using Static and Semi-Static Primitives

In this work, we use static and semi-static versions of NULL Convention Logic (NCL) primitives (i.e., threshold gates) to implement a dual-rail 8times8 2s complement multiplier using the Modified Booth2 algorithm for partial product generation and a Wallace tree for partial product summation. We establish the multiplier\u27s functionality utilizing VHDL-based simulations of the gate-level structural design. The design is then implemented at the transistor-level and layout-level using both static and semi-static threshold gates, for a 1.8V 0.18mum TSMC CMOS process; and these two implementations are compared in terms of area, power, and speed

Physiological and Proteomic Signatures Reveal Mechanisms of Superior Drought Resilience in Pearl Millet Compared to Wheat

Presently, pearl millet and wheat are belonging to highly important cereal crops. Pearl millet, however, is an under-utilized crop, despite its superior resilience to drought and heat stress in contrast to wheat. To investigate this in more detail, we performed comparative physiological screening and large scale proteomics of drought stress responses in drought-tolerant and susceptible genotypes of pearl millet and wheat. These chosen genotypes are widely used in breeding and farming practices. The physiological responses demonstrated large differences in the regulation of root morphology and photosynthetic machinery, revealing a stay-green phenotype in pearl millet. Subsequent tissue-specific proteome analysis of leaves, roots and seeds led to the identification of 12,558 proteins in pearl millet and wheat under well-watered and stress conditions. To allow for this comparative proteome analysis and to provide a platform for future functional proteomics studies we performed a systematic phylogenetic analysis of all orthologues in pearl millet, wheat, foxtail millet, sorghum, barley, brachypodium, rice, maize, Arabidopsis, and soybean. In summary, we define (i) a stay-green proteome signature in the drought-tolerant pearl millet phenotype and (ii) differential senescence proteome signatures in contrasting wheat phenotypes not capable of coping with similar drought stress. These different responses have a significant effect on yield and grain filling processes reflected by the harvest index. Proteome signatures related to root morphology and seed yield demonstrated the unexpected intra- and interspecies-specific biochemical plasticity for stress adaptatio

<b>"Amuri"—an elixir from <i style="">Musa paradisiaca </i>L</b>

168-176Indian traditional systems of medicine like Ayurveda and Siddha offer medicines called Kayakalpa drugs for rejuvenation and for treating refractive diseases. Amuri is one such drug described in many Siddha texts and manuscripts. An unpublished Siddha palm leaf manuscript Kanranadi Vakkiyam describes preparation of Amuri from Banana tree. An attempt has been made in this work to extract Amuri from Musa paradisiaca L., standardize its yield and characterize the liquid using physico-chemical parameter

Analysis and Calculation of the Fluid Flow and the Temperature Field by Finite Element Modeling

This paper presents a fundamental and accurate approach to study numerical analysis of fluid flow and heat transfer inside a channel. In this study, the Finite Element Method is used to analyze the channel, which is divided into small subsections. The small subsections are discretized using higher number of domain elements and the corresponding number of nodes. MATLAB codes are developed to be used in the analysis. Simulation results showed that the analyses of fluid flow and temperature are influenced significantly by the changing entrance velocity. Also, there is an apparent effect on the temperature fields due to the presence of an energy source in the middle of the domain. In this paper, the characteristics of flow analysis and heat analysis in a channel have been investigated

Liver Infection Prediction Analysis using Machine Learning to Evaluate Analytical Performance in Neural Networks by Optimization Techniques

Liver infection is a common disease, which poses a great threat to human health, but there is still able to identify an optimal technique that can be used on large-level screening. This paper deals with ML algorithms using different data sets and predictive analyses. Therefore, machine ML can be utilized in different diseases for integrating a piece of pattern for visualization. This paper deals with various machine learning algorithms on different liver illness datasets to evaluate the analytical performance using different types of parameters and optimization techniques. The selected classification algorithms analyze the difference in results and find out the most excellent categorization models for liver disease. Machine learning optimization is the procedure of modifying hyperparameters in arrange to employ one of the optimization approaches to minimise the cost function. To set the hyperparameter, include a number of Phosphotase,Direct Billirubin, Protiens, Albumin and Albumin Globulin. Since it describes the difference linking the predictable parameter's true importance and the model's prediction, it is crucial to minimise the cost function

Synthetic skins with humanlike warmth

10.1007/978-3-642-17248-9_38Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)6414 LNAI362-37