Browsing by Author "Satish Kumar"

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Approximation of functions by Bernoulli wavelet and its applications in solution of Volterra integral equation of second kind
(Springer Science and Business Media Deutschland GmbH, 2022) Shyam Lal; Satish Kumar
In this paper, two new estimators E2k-1,0(1)(f) and E2k-1,M(1)(f) of characteristic function and an estimator E2k-1,M(2)(f) of function of Ho ¨ lder’s class Hα[0 , 1) of order 0 < α⩽ 1 have been established using Bernoulli wavelets. A new technique has been applied for solving Volterra integral equation of second kind using Bernoulli wavelet operational matrix of integration as well as product operational matrix. These matrices have been utilized to reduce the Volterra integral equation into a system of algebraic equations, which are easily solvable. Some examples are illustrated to show the validity and efficiency of proposed technique of this research paper. © 2021, The Author(s).
Development of CD163 receptor-based enzyme-linked immunosorbent assay for diagnosis of porcine reproductive and respiratory syndrome virus
(Springer Science and Business Media Deutschland GmbH, 2022) Rajib Deb; Ajay Kumar Yadav; Gyanendra Singh Sengar; Joyshikh Sonowal; D. Lalita; Seema Rani Pegu; Indra Singh; Ningthoukhongjam Linda; Pranab Jyoti Das; Satish Kumar; Prasanna Pal; Souvik Paul; Swaraj Rajkhowa; Vivek Kumar Gupta
Porcine reproductive and respiratory syndrome (PRRS) is an important economical disease in the global swine industry. The accurate detection of the PRRS virus (PRRSV) antigen is essential for the disease control and prevention programme. In this study, an indirect enzyme-linked immunosorbent test (PRRSVCD163-iELISA) was developed for the detection of the PRRSV antigen in samples of post-mortem swine tissue using the recombinant pig CD163 receptor protein as the capture ligand. The test was found to be specific for PRRSV, with no cross-reactions with other prevalent pig viral pathogens. The assay was validated by testing 217 post-mortem porcine tissue samples and the results were found to be satisfactory with a relative accuracy of 88.88%. Our assay is also quite precise, with intra- and inter-assay CVs of 6% and 10%, respectively. These findings imply that the PRRSVCD163-iELISA developed is capable of detecting the PRRSV antigen in swine post-mortem tissue samples. This research showed that porcine CD163, the PRRSV cellular receptor, can be exploited to build a diagnostic technique for the detection of PRRSV antigen. © 2022, King Abdulaziz City for Science and Technology.
Investigating the RelA Gene's role in African Swine fever tolerance: a study of Indian pigs
(Academic Press, 2025) Arutkumaran S; Rajib Deb; Shanmathi S; Soumendu Chakravarti; Pranab Jyoti Das; Gyanendra Singh Sengar; Seema Rani Pegu; Indra Singh; Satish Kumar; Meera K; Swaraj Rajkhowa; Pushpendra Pavan Kumar; Vivek Kumar Gupta
African Swine Fever (ASF) is a highly contagious transboundary viral disease affecting domestic pigs worldwide, often resulting in nearly 100 % mortality due to the lack of effective vaccines. However, wild species such as warthogs (Phacochoerus sp.) and bush pigs (Potamochoerus sp.) do not exhibit clinical symptoms of the disease, previous studies showed that amino acid substitutions in a proto-oncogene, RelA, a subunit of NF-κB found in warthogs might be responsible for their resistance. Expanding this study over an Indian breed named Doom which was considered tolerant due to lack of much information regarding their ASFV-positive cases and identifying the genetic basis of tolerance might help in creating a tolerant breed, thereby controlling the spread of the disease. So, this study was initiated to investigate the polymorphic signature in RelA gene of Doom breed similar to warthogs. Initially molecular docking studies identified a potential interaction between the N-terminal sub-domain of Rel homology domain of porcine RELA and the African Swine Fever Viral (ASFV) protein A238L, a hypothetical viral protein of unknown function. This amino acid interaction corresponds to a nucleotide sequence of exon 10 of porcine RelA gene. Further, ARMS-PCR (Amplification Refractory Mutation System-PCR) and PCR-RFLP (Restriction Fragment Length Polymorphism) were optimized to target a single nucleotide polymorphism (SNP, CCT/GCT: Pro→Ala) identified in the exon 10 region through Ensemble genome browser. PCR results showed the presence of homozygous CC genotype, coding for proline, in all pig breeds tested, including Doom. Sanger sequencing confirmed the CC genotype across all breeds, indicating that amino acid substitutions in this RELA domain were not present in Doom and therefore may not be responsible for ASF tolerance. Since disease tolerance is a polygenic trait relying on one gene might not reveal the exact cause for their tolerance against ASFV. Future research can be targeted on other set of genes playing important role in innate immune pathways or Genome Wide Association Study can be preferred to identify and associate SNPs with Doom's tolerance against ASFV. © 2025 Elsevier Ltd
Large power network signature analysis with PMU signal-dynamic clustering approach
(Institute of Electrical and Electronics Engineers Inc., 2016) R.K. Pandey; Satish Kumar; Chandan Kumar
The paper presents signature analysis of large power network with Phasor Measurement Unit (PMU) signal using dynamic clustering approach. This concept may become more useful for system operators having large numbers of PMUs deployment in utility power network for observing the variations due to dynamical changes. It is well known as more numbers of PMUs are introduced in the network, there is an exponential increase in data which may require a special technique to understand the behaviour of entire system within time for generating quick control actions for system regulation. In present work, the concept of Clustering Algorithms (CA) to mine the synchrophasor data from PMUs has been applied with practical utility data (POWERGRID). Due to large data generated by PMUs, it becomes imperative to mine data so that important information from dataset can be utilized for monitoring of grid health followed by modified control in order to realize effective system operation. The procedure for extracting information from this data has been discussed through clustering algorithms. © 2015 IEEE.
Peptidoglycan and Lipoteichoic Acid Induces Differential mRNA Response of Immune-Related Genes in PBMC of Crossbred, Tharparkar Cattle and Murrah Buffalo
(Taylor and Francis Inc., 2019) Sourabh Sulabh; Manjit Panigrahi; Sheikh Firdous Ahmad; Rajat Varshney; Ankita Verma; Naseer Ahmad Baba; Satish Kumar; Soni Kumari; Anuj Chauhan; Pushpendra Kumar; Bharat Bhushan
Subclinical mastitis, generally caused by Staphylococcus aureus, has a global economic impact all over the world. Hence, it needs to be resolved on higher priority which may be attained via. selection of mastitis resistant animals or inclusion of mastitis resistant trait into herd apart from management care. Diverse hosts with various genetic make-ups encounter pathogens in a diverse manner which in turn leads to contradicting outcome of the disease. Identification of species-wise or breed-wise differential expressed genes in response to S. aureus through relative evaluation of transcripts may be useful for judging the immuno-competency of a species or breed toward mastitis. The present study was undertaken to examine the stimulant effect of S. aureus peptidoglycan (PGN) and lipoteichoic acid (LTA) on Peripheral blood mononuclear cells (PBMC) harvested from blood samples of crossbred cattle, Tharparkar cattle, and Murrah buffaloes. After 6 h of in vitro stimulation qRT-PCR was used to measure the relative mRNA expression of TLR-2, TNF-α, IL-8, IFN-γ and IL-10 genes in stimulated and un-stimulated PBMC. The selected genes revealed significant differences in the pattern of immune response among crossbred cattle, Tharparkar cattle and Murrah buffalo in spite of the same stimulant dose. © 2018, © 2018 Taylor & Francis.
Response to covid-19 pandemic in india: How can we strengthen our response?
(Wolters Kluwer Medknow Publications, 2020) Satish Kumar; Dandu Sekhar Reddy
[No abstract available]
SOLUTION OF ABEL’S INTEGRAL EQUATION BY MODIFIED TAYLOR WAVELET WITH ERROR ANALYSIS
(American Institute of Mathematical Sciences, 2024) Shyam Lal; Satish Kumar
In this paper, a modified Taylor wavelet (MTW) is introduced. Three new estimators (Formula presented.) and (Formula presented.) of functions of Hölder’s class (Formula presented.) of order (Formula presented.) have been established by MTW method. A MTW method is presented for the numerical solution of Abel’s integral equations. MTW operational matrices are formulated. These matrices have been utilized for solving Abel’s integral equations. Some examples are included to demonstrate the validity and efficiency of the proposed method. © (2024), (American Institute of Mathematical Sciences). All rights reserved.