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Your search keyword '"Singh, Akansha"' showing total 29 results
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29 results on '"Singh, Akansha"'

11. Wearable Devices—A New Dimension in Healthcare

Author

Suman, Preetam, Suman, Amrit, Padhy, Sasmita, Kumar, Naween, Siddiqui, Masood H., Singh, Akansha, Sharma, Aditi, Xhafa, Fatos, Series Editor, Kumar, Pardeep, editor, Singh, Prabhishek, editor, Diwakar, Manoj, editor, and Garg, Deepak, editor

Published
2024
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12. Review on Vision Transformer for Satellite Image Classification

Author

Srivastava, Himanshu, Singh, Akansha, Bharti, Anuj Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Fortino, Giancarlo, editor, Kumar, Akshi, editor, Swaroop, Abhishek, editor, and Shukla, Pancham, editor

Published
2024
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26. Uncovering DNA methylation landscapes to decipher evolutionary footprints of phenotypic diversity in chickpea.

Author

Daware, Anurag, Mohanty, Jitendra K, Narnoliya, Laxmi, Singh, Akansha, Rathore, Deepanshi, Thakro, Virevol, Francis, Aleena, Singh, Nagendra Pratap, Francis, Philip, Tripathi, Shailesh, Chattopadhyay, Debasis, and Parida, Swarup K

Abstract

Genetic diversity and environmental factors are long believed to be the dominant contributors to phenotypic diversity in crop plants. However, it has been recently established that, besides genetic variation, epigenetic variation, especially variation in DNA methylation, plays a significant role in determining phenotypic diversity in crop plants. Therefore, assessing DNA methylation diversity in crop plants becomes vital, especially in the case of crops like chickpea, which has a narrow genetic base. Thus, in the present study, we employed whole-genome bisulfite sequencing to assess DNA methylation diversity in wild and cultivated (desi and kabuli) chickpea. This revealed extensive DNA methylation diversity in both wild and cultivated chickpea. Interestingly, the methylation diversity was found to be significantly higher than genetic diversity, suggesting its potential role in providing vital phenotypic diversity for the evolution and domestication of the Cicer gene pool. The phylogeny based on DNA methylation variation also indicates a potential complementary role of DNA methylation variation in addition to DNA sequence variation in shaping chickpea evolution. Besides, the study also identified diverse epi-alleles of many previously known genes of agronomic importance. The Cicer MethVarMap database developed in this study enables researchers to readily visualize methylation variation within the genes and genomic regions of their interest (http://223.31.159.7/cicer/public/). Therefore, epigenetic variation like DNA methylation variation can potentially explain the paradox of high phenotypic diversity despite the narrow genetic base in chickpea and can potentially be employed for crop improvement. [ABSTRACT FROM AUTHOR]

Published
2024
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28. List of contributors

Author

Abhyankar, Krutika, Agrawal, Swati, Ahuja, Palash, Amulya, M.D., Arockia doss, M., Aundhia, Chintan, Bariya, Himanshu, Bhatt, Manthan, Bhatt, Vaibhav D., Bhui, Ashish Kumar, Bhutadiya, Varsha L., Boregowda, Rajeev, Borkhataria, Chetan, Butani, Krishna, Chandra, Abhishek, Chandrashekar, K., Chaudagar, Kiranj, Chudasama, Jay Mukesh, Darji, Siddhi A., Das, Pranjal Pratim, Dave, Gaurav S., Daxini, Nisha, Dayanidhi, Radha, Desai, Pramod P., Desai, Harshal, Dhineshkumar, E., Dholakia, Sandip P., Dwivedi, Mannu, Georrge, John J., Ghosh, Sougata, Gundaraniya, Sruti, Harshitha Raj, I.B., Ibrahim, Faten M., Jadwani, Kruti, Joshi, Aruna, Kamani, Mayank D., Kamdar, Jignesh H., Kanani, Sonal H., Kaneria, Mital J., Kapadiya, Khushal M., Khan, Parvez Pathan, Kharwar, Ruby, Kher, Mukesh N., Khodaie, Laleh, Kumar, Jay, Mandal, Abhishek, Mandal, Nitish Kumar, Mishra, Saurav Kumar, Mistry, Harsh, Mistry, Kinnari N., Modasiya, Janki B., Muktha, H., Nagar, Padamnabhi S., Nandakumar, R., Niranjan, Vidya, Okella, Hedmon, Padalia, Hemali, Padhy, Rabindra Nath, Pandya, Devang J., Parmar, Ghanshyam, Patel, Priya, Patel, Disha, Patel, Khushal, Patel, Shivam, Patel, Nirav V., Pathak, Dinesh, Pethani, Trupesh, Polara, Himanshu, Radha, M.J., Rakholiya, Kalpna D., Ramakrishnaiah, T.N., Rami, Esha, Ranadheera, Chaminda Senaka, Roy, Annesha, Sadhu, Piyush, Sahoo, Chita R., Sangani, Romil S., Sarkar, Bishwarup, Savitha, G., Sen, Satish Kumar, Setlur, Anagha S., Shah, Ashish, Shah, Sejal, Shah, Tejas, Sharma, Anu, Sharma, Abhishek, Sharma, Kanchan, Singh, Akansha, Singh, Niraj, Singh, Ravishankar, Skariyachan, Sinosh, Solanki, Jaykishan, Solanki, Komal, Solo, Peter, Sowbhagya, R., Sureja, Dipen K., Surendra, A.S., Talaviya, Guranga, Thakor, Rashmi, Thongmee, Sirikanjana, Tiwari, Pragya, Togadiya, Vijay, Trivedi, Anjali, Uttarkar, Akshay, Vadalia, Jigna, Vadavariya, Samim, Vagadiya, Govind V., Vaghasia, Vibhisha V., Vijayarohini, Parasuraman, and Vinjoda, Prity

Published
2024
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29. Decay analysis of bivariate Chebyshev coefficients for functions with limited regularity

Author

Singh, Akansha

Abstract

The Chebyshev polynomial approximation is a useful tool to approximate smooth and non-smooth functions. In fact, for a sufficiently smooth function, the partial sum of Chebyshev series expansion provides optimal polynomial approximation. Moreover, because the construction of these polynomial approximations is computational efficient, they are widely used in numerical schemes for solving partial deferential equations. Significant efforts have been devoted to establishing decay bounds for series coefficients, including Chebyshev, Jacobi, and Legendre series, for both smooth and non-smooth univariate functions. However, the literature lacks similar estimates for bivariate functions. This paper aims to address this gap by examining the decay estimates of bivariate Chebyshev coefficients, contributing both theoretically and practically to the understanding and application of Chebyshev series expansions, especially concerning functions with limited smoothness. Additionally, we derive L1-error estimates for the partial sum of Chebyshev series expansions of functions with bounded Vitali variation. Furthermore, we provide an estimate for the discrepancy between exact and approximated Chebyshev coefficients, leveraging a quadrature formula. This analysis leads to the deduction of an asymptotic L1-approximation error for finite partial sums of Chebyshev series with approximated coefficients.

Published
2024
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