Grammar to Explain in the Text Literary Text Quotes

Literature, grammar and text of all the three were related to each other. It will not function without the support the each other. When we look back at Tamil Literary History, the tenth and the eleventh centuries were considered as the age of texts. This period demonstrated that text writers were more important than the authors. Vaithiyanatha Desikar had written a text to explain Grammar and said: he composed his text to implicit and give clarification over the subject which quoted in the traditional texts. Description: giving meaning for words with an ample number of explanations was called ‘descriptive’ text legacy. For example: while explaining the meaning of a word or object with traditional textual reference it will clarify the respective word with the exact ‘example' quoted in the book. History: while explaining ancient literature and grammar through the historical example of the same period was called historical text legacy. Front Text: using the exact techniques of Professor Nachikiniyar, Senavarayar, Mayilainathar was called ‘front Textual’. It was an independent tradition without the interference of any writers in titles. The above said were the five forms of text. In terms that thirty thousand to first Tagore pilgrimage references were featuring in the texts as indicated. This article aims to clarify how the traditional cognizance and peripheral culture side logs for textual interpretation, how it supports to clarify textual reference

Silapathikaram quotes in grammatical text

Epics has been created in various languages such as Greek, Latin, Persian and Tamil in the world. Even in Tolkappiyam, there is no reference the existence of epics in Tamil. Dandiyalankara is the first script recorded about epics in Tamil. Silappathikaram is the first epic to appear in Tamil literature. This epic and Tolkappiyam were appeared during Sangam literature followed by AD Appeared in the second century. The author of this epic is Ilangovadi. He is the son of Cheramannan Neduncheralathan and the brother of Cheran Senkuttuvan. Silappathikaram is one of the greatest epics that appeared in the Tamil language. It is no exaggeration to say that as the epics were developed next to vintage literature appeared. Grammar rules are composed and written by Vaithiyanatha Desikar in the AD seventeenth century. He has used quotations from various grammatical texts in the context of the text with rich evidence for the text. He has used these quotations to clarify grammatical explanatory threads, for further explanation and for textual concentration. The purpose of this article is to illustrate how grammatical lyricism supports grammatical interpretation

Ethical principles shown by the Aatruppadai Texts

The Sangam literature, Ettutthokai, and Pathupaattu are the books that highlight the antiquity of Tamil and the pride of Tamils together. This article illustrates the ethics shown by the Aatruppadai books of the Pathupaattu hymns. The word 'Aaru' is interpreted by scholars to mean 'way' or 'righteousness'. ‘Aatrupaduthutthuthal (Counseling) is guiding or directing someone who knows or does not know. This review article conveys the message that Nakkiran worshipped Lord Muruga in the six houses in Thirumurukaattrupadai which is found first in the Aatrupadai texts, and attained his virtues such as grace, love, knowledge, etc. Moreover, this article shows that in the books of Porunar Aatrupadai, Sirupanatrupadai, Perumpanattrupadai, and Kootharaattrupadai, the kings ruled with morals, welcomed the poets who came to him and treated them with clothes, food, etc

G x E Interaction and path analysis for yield and its attributing traits in advanced genotypes of pigeonpea [Cajanus cajan (L.) Millsp.]

The present investigation was carried out during kharif-2012, 2013 and 2014 under rain fed condition at the Agricultural Research Station, Kalaburagi located in north eastern dry zone (Zone 2) of Karnataka, to know the stability and path analysis of the twenty genotypes of pigeonpea including check WRP-1. Highly significant differences among genotypes were observed for all the characters except primary branches. Environmental + (Genotype × Environment) interaction was significant for days to maturity, primary branch, pod bearing length, and seed yield per plant. The variance due to pooled deviation was highly significant for all the characters except for primary branches, pod length and number of seeds per pod which reflect the presence of sufficient genetic variability in the material. Out of 20 genotypes studied, RVK-275 (X=38.713, bi=1.7 and S2di = -9.67) and AKT-9913 (X =43.397, bi=2.86 and S2di= -7.42) were found to be a stable for seed yield and test weight, across the environments with good stability under rain fed conditions compared to local check. Path analysis revealed that days to flower initiation (3.942 and 1.123), days to maturity (1.493 and 0.960), primary branches (0.667 and 0.045), pod bearing length (1.153 and 0.394), number of pods per plant (0.661 and 0.463) and 100 seed weight (0.352 and 0.426) had the highest positive direct effect on grain yield both at genotypic and phenotypic level. For maximizing the grain yield per plant emphasis should be given in selection of such characters for further improvement in pigeonpea

Dynamics of Crossover from a Chaotic to a Power Law State in Jerky Flow

We study the dynamics of an intriguing crossover from a chaotic to a power law state as a function of strain rate within the context of a recently introduced model which reproduces the crossover. While the chaotic regime has a small set of positive Lyapunov exponents, interestingly, the scaling regime has a power law distribution of null exponents which also exhibits a power law. The slow manifold analysis of the model shows that while a large proportion of dislocations are pinned in the chaotic regime, most of them are pushed to the threshold of unpinning in the scaling regime, thus providing insight into the mechanism of crossover.Comment: 5 pages, 3 figures. In print in Phy. Rev. E Rapid Communication

Role of Social Media influence on Customers Impulsive Buying Behaviour towards Apparel

The purpose of this research is to study the association between Social Media factors towards Impulsive Buying Behavior of apparel among the customers in Chennai city. The are three important Social Media feature are being acknowledged like (Media Entertainment, Social Interaction ,Word of mouth ) which are endogenous variables in the study and the customer impulsive buying behavior as a exogenous variable. Each of the Social Media factors was tested using SPSS software .The test comprises of cronbach alpha, SEM. The test help us to understand the consumers response towards the Social Media factors. Non-Probability sampling technique was implemented for the collection of data. A consistent questionnaire was used in the study .It was circulated among 230 respondents 194 responses was received back 92%was the response rate of the study . Key words: Customers, Impulsive Buying Behavior, Social Media, Word of mouth, Social Interaction, Media Entertainmen

DEVELOPMENT OF ANTIOXIDANT RICH INSTANT BISCUIT MIX

Objective: Bakery products are important processed foods, commonly consumed across the world. Bakery products have become essential and significant components of the dietary profile of the people. Among that biscuits are the fast growing bakery products in India, because of consumer demand for convenient, safety, low cast, shelf life, verity taste and flavor but those are lack in nutrients and antioxidants. Methods: To increase the nutrient content in biscuit mix, Wheat flour was added with maida and sugar at three variations (V1-50:50, V2-60:40, V3-70:30) and subjected to organoleptic evaluation. Antioxidant mix (Poshak Pro mix) was formulated using antioxidant rich foods like Finger millet, Black Gram Dhal, Spinach, Carrot, Guava and Sesame seeds. These were processed and formulated into three mixes (Finger millet based mix, Black Gram Dhal based mix and Carrot based mix) and subjected to DPPH radical scavenging test. The mix having highest activity was selected and incorporated into wheat flour biscuit mix at three variations (V1-20:80, V2-3:70, V3-40:60) and subjected to organoleptic evaluation. The accepted variation was analyzed for nutrient and shelf life at polythene and aluminum foil covers. Results: Among the three wheat flour: Maida variations, V3-70:30 was selected in organoleptic evaluation. In DPPH radical scavenging test Finger Milled based mix was selected and incorporated into selected wheat flour biscuit mix at three variations. V1 (20:80) was selected and nutrients analysis showed that it is rich in β-carotene. In shelf life study, both (polythene and aluminum foil) covers were accepted for packaging. Conclusion: The study proved that local commodities rich in antioxidants can be utilized effectively and economically to improve the health status of the people

Non-Negative Matrix Factorization Based Single Channel Source Separation

The significance of speech recognition systems is widespread, encompassing applications like speech translation, robotics, and security. However, these systems often encounter challenges arising from noise and source mixing during signal acquisition, leading to performance degradation. Addressing this, cutting-edge solutions must effectively incorporate temporal dependencies spanning longer periods than a single time frame. To tackle this issue, this study introduces a novel model employing non-negative matrix factorization (NMF) modelling. This technique harnesses the scattering transform, involving wavelet filters and pyramid scattering, to compute sources and mitigate undesired signals. Once signal estimation is achieved, a source separation algorithm is devised, employing an optimization process grounded in training and testing approaches. By quantifying performance metrics, a comparative analysis is conducted between existing methods and the proposed model. Results indicate the superior performance of the suggested approach, underscored by these metrics. This signifies that the NMF and scattering transform-based model adeptly addresses the challenge of effectively utilizing temporal dependencies spanning more than a single time frame, ultimately enhancing speech recognition system efficacy