Volume 9 | Issue 7 |

 Abstract

Siddha medication have described many medicines for curing all kind of diseases . Chukku podi is used in the paediatric group for dysentery ( seethakazhichal ). As a Siddha paediatrician , an extra personal interest, here in the study of new drug for the paediatric disease. With this aim in mind, I have started my study about chukku podi. This biochemical analysis,phytochemical and pharmacological actions plays an important part in my study. My analysis expressed that the presence of calcium, starch , ferrous (Iron), unsaturated compounds and amino acids in Chukku podi.

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 Keywords

Chukku podi, paediatric dysentery, Bio chemical analysis, phytochemical and pharmacological actions

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Abstract The sensor node lifetime plays a key role in a wireless sensor network and it relies on the battery life. After deploying the batteries in an unattended or remote area, their replacement is very difficult. To overcome this issue, a lot of research had performed, but they are suffering from one or other way. Energy efficiency is improved by clustering technique. The efficient and stable CH selection is an important task in clustered network. The CHs failure can collapse the entire data aggregation of the network. Energy efficient relay selection for data aggregation plays an important role in controlling energy consumption during data aggregation. There are a plenty of energy efficient routing protocols exists in this cause. But most of them considers node residual energy as the primary parameter for relay selection and failed to consider other prominent parameters for relay selection which can affect the sensor node lifetime. To address the CH failure issue and to select the stable CHs, in this paper we introduce Node Quality factor algorithm to estimate and rank the nodes based on their selection quality. This method considers the channel quality of the relay-destination link, distance between the nodes and the residual energy as selection parameters. An improved Particle Swarm Optimization Algorithm is introduced for selecting the energy efficient relay nodes. The improved Particle Swarm Optimization Algorithm takes into account node residual energy, node distance to CH, average energy, node degree, and ECR for calculating the fitness function. The simulation results proves that the proposed NQA-IPSO method outperforms the previously proposed energy efficient techniques in network lifetime, data delivery rate, and energy consumption.

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 Keywords

WSN, Clustering, PSO, Data aggregation, Relay selection, NQA-IPSO.

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This paper focuses on designing an optimal path selection for data transmission from source to sink with minimum overhead. A major issue in Wireless Sensor networks is the selection of an optimal path between the sender and receiver. Nodes have limited storage capability thereby making it difficult for the node to maintain all possible paths. Fuzzy logic contributes to improve routing efficiency. The parameters taken into consideration are Number of Hops, Residual Energy and Link Quality. Simulations were done using Matlab and the results show an improvement in the network performance in comparison with the traditional DSDV under the same conditions. The idea of using Fuzzy logic in Wireless sensor networks is a booming technique as it allows many ambiguous parameters to be exploited in an efficient manner. The potential of fuzzy logic goes beyond traditional systems and can be used in research fields involving multidisciplinary approaches.

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In every Active Pharmaceutical Ingredient, Impurity is present. In pharmaceutical industry, Purity profile is important factor as well as Impurity profile is important and mandatory according to Regulatory authority. In the pharmaceutical world, an impurity is considered as any other inorganic or organic material, or residual solvents other than the drug substances present in drug and also arise out of synthesis or unwanted chemicals that remains with APIs. The quality of drug product is highly affected by impurity present in drug. There are different types of impurities such as organic impurity, Inorganic impurity, residual solvent starting materials, intermediates, by product and degradation product etc. The International Conference on Harmonisation (ICH) guidelines, state the de?nitions of the impurities in new drug substances.In this article, we have discussed the types of possible impurities and their sources. We have also listed out the impurity isolation techniques and analytical techniques for the identification, quantification and characterization of impurities.

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Impurity profile, ICH, Spectrophotometry, Chromatography, Isolations.

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Cross domain sentiment analysis refers to divide sentiments of people into different categories. Such algorithms are used by different large scale corporations, hospitality departments, etc to understand feelings of the people towards their product or company as a whole. Previously, hand written reviews were considered. But as the companies and online purchases are increasing, this method proved to be insufficient and tedious. Also the reviews had to be checked by a person, thus decreasing the efficiency and the accuracy of this method. Our study aims at using different machine learning, deep learning algorithms to automate the process of product analysis. The results prove that the study successfully provides an algorithm to understand and divide the sentiments of people into positive, negative and neutral

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Sentiment Analysis, machine-learning, positive, negative, neutral.

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With the rapid increase in trading technology in smartphone, Now a days it is possible for the investors to make their buying or selling decision at the footstep. Mobile trading applications makes the investors to open De-Materialized (De-Mat) account and to perform trading activities with the help of internet connectivity at anyplace of location. Meanwhile, the investor as a rational being whose requirements in tracking the performances of market, the mobile trading system facilitates them to get updates. Based on such, the investment strategy can be applied to buy or sell the shares and securities. The present COVID pandemic situation makes the investor to shift their trading platform to trading applications through smartphones. Hence, this research intend in identifying the investors applicability and handling of mobile trading applications. For this the researcher had taken 146 investors as respondents randomly through structured questionnaire. Percentage analysis, Chi-Square, ANOVA were performed to analyze the investor applicability towards mobile trading applications. Finally, majority of the investors have an experience in using the trading applications to trade online with smartphone at this pandemic.

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Mobile trading applications, smartphone, investors requirements, investment strategy, trading technology

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Social Media, Investor, Stock Market, Influence, Sentiment.s

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The non-stop augmentation of pollutants is a hassle that needs to be addressed straightaway. Pollution affects our fitness in addition to reasons fundamental environmental modifications like Global warming and climate variations. Air pollutants are one in all the largest demanding situations that the sector is going through these days because it has were given negative consequences on human fitness like lung cancer, breathing, and coronary heart diseases. There is a want to continuously measure, analyze, and screen the air first-rate on a real-time foundation to take suitable measures every time needed. We have proposed a version that makes use of the idea of the Internet of Things to permit the person to recognize approximately the awareness of dangerous gases gift around him and for this reason, permit the person to recognize the first-rate of air. The parameters which might be monitored right here are MQ135, Carbon monoxide (CO), Carbon dioxide (CO2), temperature, and humidity. The values of those parameters are in addition displayed on an IoT platform, ThingSpeak, with inside the shape of a graph in addition to a number. If the awareness of Carbon dioxide exceeds a positive threshold, the buzzer receives triggered.

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ESP32 Board, LCD Display, Adafruit IO, MQ135, MQ7, and DHT11 Sensors.

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: Christianity came to India in 52 AD with the mission of spreading the Word God. India that the missionaries walked into was burdened under the yoke of caste system. The lower class people had no social mobility and hence the possibility of an improvement in their condition was near impossible. Conversion to Christianity was a means of escape from discrimination. They believed Christianity offered them solace from their oppressors. Christianity was considered egalitarian as it promised to be a caste- free society. Unfortunately, even after conversion many of the Dalits were discriminated due to the residual leftover practice of caste system from their previous traditions. Bama's Karukku is a novel written in a confessional mode. It speaks of the conflict between the Church and the Dalit Christians. The Church ordered and influenced the lives of the Dalits. However, discrimination by the clergy was horrifying. Religious celebrations had lost its spiritual value and it was more materialistic. Bama decided to join the religious order to help the poor school children of her community as education was the key to their emancipation. But on joining a nunnery she realized that life in a convent was one of luxury and they served the rich. She discovered that the outlook of the convent and the Church are different from hers and there is a rift between the two. This paper attempts to unveil the crippling effect of caste system in an apparently caste-free religion like Christianity.

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Christianity, caste system, discrimination, in persona Christi, marginalization

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