4,873 research outputs found
लीचिमा 2019
No full textNot AvailablePandey, S.D., Kumar, A., Patel, R.K., Kumar, V., Verma, J.P. (2019). Litchima. Fifth Edition. ICAR-National Research Centre on Litchi, Muzaffarpur; 5(1):1-67 p.Not Availabl
लीचिमा 2018
No full textNot AvailablePandey, S.D., Kumar, A., Patel, R.K., Kumar, V., Verma, J.P. (2018). Litchima. First Edition. ICAR-National Research Centre on Litchi, Muzaffarpur; 4(1):1-65 p.Not Availabl
Not Available
No full textNot AvailablePongener, A., Purbey, S.K., Patel, R.K., Kumar, V., Kumar, A., and Nath, V. 2019. Entrepreneurship in Litchi Beverages: A Beginner`s Guide to Small Scale Processing of Litchi Beverages. NRCL-MN-01. ICAR-NRCL,
Muzaffarpur. pp: 33ICA
A comparison of farming practices and performance for wheat production in Haryana, India
No full textAvailable online: 15 May 2015Abstract not availableD.R. Coventry, R.S. Poswal, Ashok Yadav, Amritbir Singh Riar, Yi Zhou, Anuj Kumar, Ramesh Chand, R.S. Chhokar, R.K. Sharma, V.K. Yadav, R.K. Gupta, Anil Mehta, J.A. Cummin
Family History of Elizabeth R.K. Draper
No full textThe Family History of
Elizabeth R.K. Draper
30 APRIL 2023
Elizabeth Rose Kaye Draper authored this family history as part of the course requirements for HIST 550 Your Family in History offered online in Fall 2022 and was submitted to the Pittsburg State University Digital Commons. Please contact the author directly with any questions or comments: [email protected]
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
Purification of soul in R.K. Narayan's, The Guide
No full textR.K. Narayan is one of the most well known novelist in India who writes in English. He is well known for his depiction and humourous writing on Indian society and culture. R.K. Narayan is essentially a storyteller, whose sensitive, well-drawn portrayals of twentieth-century Indian life were set mostly in the fictional South Indian town of Malgudi. Most of his novels capture many Indian traits while having a unique identity of their own. The Guide, which is also set in the town of Malgudi is written in a simple style, unpretentious, and witty with a unique flavour as if he was writing in the native mother tongue. The story seems to depict the everyday life of the simple characters in a rather amusing and comical way. But at the same time one can‘t help to wonder if R.K Narayan, who is hailed as a master story teller of India, has only the motive of entertaining and being comical in this book. I belief R.K Narayan has a wider and rather philosophical message beneath his work. From pages to pages of this novel, I noticed how the author holds dear to the age old philosophy that underlines the core of Hinduism –the law of Karma. Therefore, to understand The Guide,one needs to understand the theological aspects of Hinduism. This novel actually takes the readers on a journey of Hinduism and shows how the transition and purification of a Hindu soul takes place through the main character, Raju. Narayan shows how Raju, a character full of flaws goes through different phases in his life to redeem his sins and become a changed person towards the end
Discovery of new rock art sites and its implications for Indian archaeology in Central Indian context
No full textNeuro-Computing Techniques for Prediction of Compressive Strength of Concrete
No full textNeuro-computing techniques are being widely used these days and these techniques are considered good for forecasting applications. In recent years, these techniques have also been applied to many civil-engineering problems with reasonable success. These techniques are particularly useful in applications where the complexity of the data or task makes the design of such a function impractical. As the development of concrete strength is a complex non-linear process, depending upon many parameters, it is a problem well suited for applying neuro-computing techniques. In this work, we focused on the prediction of compressive strength of concrete with the help of neuro-computing techniques.
Data for this work has been taken from the experiments conducted by Kumar (2003). For generating a reliable data bank on concrete compressive strength, he considered five parameters, namely, water-cementitious ratio, cementitious content, water content, workability and curing ages in his experiments. He performed all experiments in controlled laboratory conditions. A set of 15 cubes for each of the mixes so proportioned were cast and tested after 28, 56 and 91 days of curing. Thus, an extensive data bank for analyzing the compressive strength of concrete has been used in the present work. Factor analysis has been performed on the data in order to decide variables for predicting compressive strength of concrete with the help of SPSS and investigation, reveal that water-cementitious ratio is the leading predictor variable.
Regression models have been also developed in this work. These have been developed: (i) To analyze the effect of workability on compressive strength; (ii) To analyze the effect of FA on compressive strength; and (iii) For predicting compressive strength of concrete with three different aggregate zones, i.e., Zone-A, Zone-B and Zone-C with and without FA. The regression models developed can predict compressive strength of various mixes very efficiently. However, a variation in data affects the regression coefficients to a large extent. Therefore, we have introduced the ridge parameter in regression equations. By introducing ridge parameter in regression equations, we could obtain more trustworthy and efficient predictive models for compressive strength of concrete that are not affected by the variations in dataset used for prediction.
The development of neural network and GP models for the prediction of compressive strength of concrete has also been undertaken in this work. For the development of an efficient neural network model, a total of 1440 pilot experiments have been conducted before selecting the final architecture of neural network. As an outcome of this study, it has been inferred that the neural network approach has a great potential for prediction of compressive strength of concrete. The results obtained from neural network model are compared with regression model and GP model. It has been found that neural network models show a high degree of consistency with experimentally evaluated compressive strength of concrete specimens used.
One can further refine the neural network models and GP models proposed in this work by considering a larger and reliable dataset. One can also explore other soft computing models for more efficient prediction of compressive strength of concrete
A Critical Study of the Autobiographical Elements in the Fictional Works of R. K. Narayan
No full textNot availabl
Informetrics on M. N. Srinivas
No full textM. N. Srinivas, the well known sociologist is widely recognised as architect of modern Indian sociology and social anthropology. His publications have been analysed by year, domain, authorship pattern, channels of communication used. Keywords, etc. The results indicate that the papers published by him are of a nature that qualify him to be a 'role model' for the younger generations to emulate.
By the end of 1995, Srinivas had to his credit 144 papers which, included 33 broad papers in sociology and anthropology; 18 papers in social change; 28 papers in village studies; 12 papers on religion; 17 papers on caste and 36 papers of general popular interest. The periods 1958-61 and 1974-77, when Srinivas was 38-41 and 58-61 years old. were his most productive periods with highest publication activity
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