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1,748 results on '"Devi, G."'

29. Assessing lameness prevalence and associated risk factors in crossbred dairy cows across diverse management environments

Author

Priyanka Patoliya, Mukund A. Kataktalware, Kathan Raval, Letha Devi G., Muniandy Sivaram, Selladurai Praveen, Priyanka Meena, Sakhtivel Jeyakumar, Anjumoni Mech, and Kerekoppa P. Ramesha

Subjects
Commercial farms, Dairy cows, Lameness, Risk factors, Prevalence, Smallholder dairy farms, Veterinary medicine, SF600-1100
Abstract

Abstract Background A thorough understanding of lameness prevalence is essential for evaluating the impact of this condition on the dairy industry and assessing the effectiveness of preventive strategies designed to minimize its occurrence. Therefore, this cross-sectional study aimed to ascertain the prevalence of lameness and identify potential risk factors associated with lameness in Holstein Friesian crossbred cows across both commercial and smallholder dairy production systems in Bengaluru Rural District of Karnataka, India. Methods The research encompassed six commercial dairy farms and 139 smallholder dairy farms, involving a total of 617 Holstein Friesian crossbred cattle. On-site surveys were conducted at the farms, employing a meticulously designed questionnaire. Lameness in dairy cattle was assessed subjectively using a locomotion scoring system. Both bivariate and binary logistic regression models were employed for risk assessment, while principal components analysis (PCA) was conducted to address the high dimensionality of the data and capture the underlying structure of the explanatory variables. Results The overall lameness prevalence of 21.9% in commercial dairy farms and 4.6% in smallholder dairy farms. Various factors such as age, body weight, parity, body condition score (BCS), floor type, hock and knee injuries, animal hygiene, provision of hoof trimming, and the presence of hoof lesions were found to be significantly associated with lameness. Binary logistic regression analysis indicated that the odds of lameness in crossbred cows increased with higher parity, decreased BCS, presence of hard flooring, poor animal hygiene, and the existence of hoof lesions. These factors were identified as potential risk factors for lameness in dairy cows. Principal component analysis unveiled five components explaining 71.32% of the total variance in commercial farms and 61.21% in smallholder dairy farms. The extracted components demonstrated higher loadings of housing and management factors (such as hoof trimming and provision of footbath) and animal-level factors (including parity, age, and BCS) in relation to lameness in dairy cows. Conclusions The findings suggest that principal component analysis effectively reduces the dimensionality of risk factors. Addressing these identified risk factors for lameness is crucial for the strategic management of lameness in dairy cows. Future research in India should investigate the effectiveness of management interventions targeted at the identified risk factors in preventing lameness in dairy cattle across diverse environments.

Published
2024
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31. Al-Ahadeeth: A Visualization Tool of the Hadiths’ Chain of Narrators

Author

Al-Absi, Hamada R. H., Kurup, Devi G., Daoud, Amina, Schneider, Jens, Zaghouani, Wajdi, Al Marri, Saeed Mohd H. M., Ait Mou, Younss, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Stephanidis, Constantine, editor, Antona, Margherita, editor, Ntoa, Stavroula, editor, and Salvendy, Gavriel, editor

Published
2024
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32. Stock Market Price Prediction Using Sentiment Analysis

Author

Sasi Kiran, J., Dhana Lakshmi, P., Sultana, Naheed, Naga Rama Devi, G., Gothane, Suwarna, Reddy Madhavi, K., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Bhateja, Vikrant, editor, Chowdary, P. Satish Rama, editor, Flores-Fuentes, Wendy, editor, Urooj, Shabana, editor, and Sankar Dhar, Rudra, editor

Published
2024
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33. Enhancement of Low-Resolution Remote Sensing Images Using ANN

Author

Malini Devi, G., Divya, D., Mounika, J., Sruthi, Ch., Samaikya, D., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, and Mozar, Stefan, editor

Published
2024
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34. The Interview Master to Predict Personality Traits

Author

Malini Devi, G., Rishitha, C., Harshitha, D., Meghana, J., Alekhya, P., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, and Mozar, Stefan, editor

Published
2024
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40. List of contributors

Author

Abhirami, P., primary, Ambrish, G., additional, Anand, Tito, additional, Anandharamakrishnan, C., additional, Athmaselvi, K.A., additional, Atungulu, Griffiths G., additional, Balasubramaniam, V.M., additional, Buenavista, Rania Marie, additional, Buvaneswaran, Malini, additional, Chandran, Monisha, additional, Chandrasekar, V., additional, Dekka, Srenuja, additional, Deo, Man Mohan, additional, Doddabematti Prakash, Shivaprasad, additional, Farzana, Wasiya, additional, Jayas, Digvir S., additional, Joseph, Michael, additional, Kabui Khumbaron, Kiranbala, additional, Kalakandan, Suresh Kumar, additional, Loganathan, M., additional, Luthra, Kaushik, additional, Mandal, Sushmita, additional, Mathad, P.F., additional, Modupalli, Nikitha, additional, Mohan, R. Jagan, additional, Moses, J.A., additional, Naik, Mohan, additional, Nambi, V. Eyarkai, additional, Nanje Gowda, N.A., additional, Nickhil, C, additional, Nidoni, U., additional, Punia Bangar, Sneh, additional, Rajagopal, Vidyalakshmi, additional, Rivera, Jared, additional, Sandhya, K., additional, Sankalpa, K.B., additional, Sherin, Jamna, additional, Siliveru, Kaliramesh, additional, Singathirulan, Balasubramanian, additional, Singh, Chandra B., additional, Smith, Deandrae, additional, Sudha Devi, G., additional, Sugumar, Anandakumar, additional, Sukumar, Aryasree, additional, Sunil, C.K., additional, Vellingiri, Palanimuthu, additional, Venkatachalapathy, N., additional, Verma, Prasoon, additional, Vinass Jamali, P., additional, Vincent, Hema, additional, and Yasmeen, R., additional

Published
2024
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41. Cleaning and grading

Author

Mathad, P.F., primary, Yasmeen, R., additional, Ambrish, G., additional, Nidoni, U., additional, and Sudha Devi, G., additional

Published
2024
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47. Reassessing Reading Strategies in the Engineering Classroom

Author

John, Divya and Devi, G. Sandhiya

Abstract

Engineering undergraduates face difficulties in comprehending discipline-specific study materials because the reading skill has been neglected at the school-level, and the students themselves have not been motivated adequately to read. This paper hypothesizes that instruction-sessions on reading strategies enable tertiary-level learners to understand their engineering texts better. In this study, the teacher-researchers distributed a questionnaire to find out the students' difficulties in academic reading, their attitude to the reading strategies taught, and the usefulness of the instruction-sessions. They also interviewed the students, and systematized the data collected. The analysis showed a mixed reaction from the students. Some of them reported that learning the strategies fostered a positive change in advancing their reading skills, while others testified that strategies had only a negligible role in doing so. Therefore, this study suggests a 5 D approach to strategic reading -- Decipher, Digest, Deduce, Detail and Discuss -- to overcome the difficulties in reading.

Published
2023
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