2,304 research outputs found
Not Available
No full textS Dixit, MK Vyas , S Kumar, Singh MK, Op Pathodiya, A Sharma and S Jayakumar (2016) Association of the polymorphisms detected in B-lactoglobulin (B-LG) gene with milk production traits in Sirohi and Jamunapari breed of Indian goats Journal of Livestock Biodiversity 4 : 24 - 29.Not AvailableNot Availabl
Not Available
No full textS Dixit, S Kumar MK Vyas, MK SIngh, OP Pathodiya, A Sharma and S Jayakumar (2016) Characterization of sequence variation in caprine growth hormone gene and its association with milk production traits in two Indian goat breeds. Journal of Livestock Biodiversity, 6 : 25 - 32.Not AvailableNot Availabl
Not Available
No full textS Goyal, P Kathiravan, RS Kataria, SK Niranjan and S Jayakumar (2013) Yak TNFa gene: Sequence analysis reveals high amino acid identity with cattle but variations in potential binding sites for transcription factors. Indian Journal of Animal Sciences 83 (1) : 46 - 50.Not AvailableNot Availabl
Not Available
No full textSP Dixit, S Jayakumar AK Tyagi, V Saroha, A Sharma and RK Nagda (2015) Association of novel SNPs in the candidate genes affecting caprine milk fatty acids related to human health Meta Gene 4 : 45 - 56.Not AvailableNot Availabl
2022_Jayakumar_CurrentBiology_rawdata
No full textThis project contains all the raw data used in Jayakumar P, Thomas S. A., Brown S. P. and Kümmerli R (2022) Collective decision-making in Pseudomonas aeruginosa involves transient segregation of quorum sensing activities across cells (Current Biology)</p
Development of Hankel-SVD hybrid technique for multiple noise removal from PD signature
No full textDetection and measurement of partial discharge (PD) phenomena combined with the separation and identification of PD sources is the way to achieve effective insulation integrity assessment. However, during measurement, PD signals are coupled with interferences (discrete spectral, pulsive, and white noises). Recovering PD signals from such interferences would improve PD source separation (thus identification), but still remains a challenging task. Several denoising methods have been proposed to suppress interferences. However, using a universal method to achieve interference removal is probably impossible, as the characteristics of the interferences are distinct. This study proposes a novel low-rank H-Matrix-based singular value decomposition (SVD) filter (H-SVD) that removes different types of interferences. Denoising is done by projecting the measured pulse in a lower dimensional signal space. To assess the effectiveness of the proposed method, H-SVD filter is first applied to simulated PD data and later on real-time PD data with the introduction of three different types of synthetic noises. The results of the evaluation metrics confirm that H-SVD has significant performance improvements compared to existing state-of-the-art PD denoising methods
Oil price shocks and their impact on the Indian economy: evidence from sign restricted SVAR model
No full textIn this paper, ‘a sign restricted Structural Vector Autoregression’ (SVAR) model has been employed to understand the macroeconomic impact of oil shocks on the Indian economy. Following the identification procedure of Baumister et al. (2010), three types of shocks have been identified using sign restrictions, namely, an oil supply shock, oil demand shock created by global economic activity, and oil-specific demand shock. The results based on quarterly data from 1996 Q1 to 2013 Q4 indicate that output growth and inflation in the Indian economy react very differently to different shocks in oil prices
Salt stress sensing and early signalling events in plant roots: current knowledge and hypothesis
No full textAvailable online 14 October 2015Abstract not availableSergey Shabala, Honghong Wu, Jayakumar Bos
Technical effectiveness of artificial recharge structures in hard rock area - A case study in Coimbatore District, India
No full textK. Palanisami, A. Raviraj, B. Jayakumar, S. Gurunathan, T. Arivalagan and S. Thirumurth
- …
