8,619 research outputs found

    Varun Kumar Reja - PMRF Symposium Poster.jpg

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    I am Varun Kumar Reja, a joint doctoral research scholar exploring computer vision-based monitoring of construction projects. My research area broadly focuses on Automation in Construction and Construction Management. I am currently pursuing a Joint PhD at IIT Madras and the University of Technology Sydney. This poster highlights my initial finding on the challenges and opportunities for computer vision-based monitoring of construction progress. It reflects my preliminary research and findings on this topic

    Dasyproctus geethae Binoy and Girish Kumar 2021

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    Dasyproctus geethae Binoy and Girish Kumar, 2021 Dasyproctus geethae Binoy & Girish Kumar, 2021: 224 (28 Jan.). India: Kerala, Kozhikode district, Elathur (holotype ♀, paratypes 2♂♂, 2♀♀). Dasyproctus hainanensis Yue, Ma and Li, 2021: 25 (paratype ♀). Only known from the type localities. Distribution: China and IndiaPublished as part of Saini, Varun & Dey, Debjani, 2022, Dasyproctus helenae, a new species of solitary hunting wasp from India and a checklist of Dasyproctus Lepeletier de Saint Fargeau and Brullé, 1835 from the Indian subcontinent (Hymenoptera: Crabronidae: Crabronini), pp. 155-162 in Zootaxa 5195 (2) on page 160, DOI: 10.11646/zootaxa.5195.2.4, http://zenodo.org/record/718471

    Anion Driven Light Induced Spin Crossover Systems: towards Multifunctional Coordination Compounds

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    In this work, we present a summary of the PhD thesis of Dr. Varun Kumar

    Dasyproctus attenboroughi Binoy, Girish Kumar and Santosh 2021

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    Dasyproctus attenboroughi Binoy, Girish Kumar and Santosh, 2021 India: Kerala: Kannur District, Kannapuram (holotype ♂, paratypes 2♂♂). Distribution: Kerala (India)Published as part of Saini, Varun & Dey, Debjani, 2022, Dasyproctus helenae, a new species of solitary hunting wasp from India and a checklist of Dasyproctus Lepeletier de Saint Fargeau and Brullé, 1835 from the Indian subcontinent (Hymenoptera: Crabronidae: Crabronini), pp. 155-162 in Zootaxa 5195 (2) on page 160, DOI: 10.11646/zootaxa.5195.2.4, http://zenodo.org/record/718471

    Dasyproctus leclercqi Binoy, Girish Kumar and Santosh 2021

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    Dasyproctus leclercqi Binoy, Girish Kumar and Santosh, 2021 India: Nagaland, Mokokchung District, Longchem (holotype ♀). Only known from the holotype ♀. Distribution: Nagaland (India)Published as part of Saini, Varun & Dey, Debjani, 2022, Dasyproctus helenae, a new species of solitary hunting wasp from India and a checklist of Dasyproctus Lepeletier de Saint Fargeau and Brullé, 1835 from the Indian subcontinent (Hymenoptera: Crabronidae: Crabronini), pp. 155-162 in Zootaxa 5195 (2) on pages 160-161, DOI: 10.11646/zootaxa.5195.2.4, http://zenodo.org/record/718471

    Dasyproctus niger Binoy, Girish Kumar and Santosh 2021

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    Dasyproctus niger Binoy, Girish Kumar and Santosh, 2021 India: Tamil Nadu, Coimbatore District, Anaikatty (holotype ♂). Only known from the holotype ♂. Distribution: Tamil Nadu (India)Published as part of Saini, Varun & Dey, Debjani, 2022, Dasyproctus helenae, a new species of solitary hunting wasp from India and a checklist of Dasyproctus Lepeletier de Saint Fargeau and Brullé, 1835 from the Indian subcontinent (Hymenoptera: Crabronidae: Crabronini), pp. 155-162 in Zootaxa 5195 (2) on page 161, DOI: 10.11646/zootaxa.5195.2.4, http://zenodo.org/record/718471

    Dasyproctus tsunekii Binoy, Girish Kumar and Santosh 2021

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    Dasyproctus tsunekii Binoy, Girish Kumar and Santosh, 2021 India: Kerala: Kannur District, Meloor paddy field (holotype ♂, paratype ♂). Only known from the type locality. Distribution: Kerala (IndiaPublished as part of Saini, Varun & Dey, Debjani, 2022, Dasyproctus helenae, a new species of solitary hunting wasp from India and a checklist of Dasyproctus Lepeletier de Saint Fargeau and Brullé, 1835 from the Indian subcontinent (Hymenoptera: Crabronidae: Crabronini), pp. 155-162 in Zootaxa 5195 (2) on page 161, DOI: 10.11646/zootaxa.5195.2.4, http://zenodo.org/record/718471

    The role of small non-coding RNAs in human T-cell leukemia virus type 1 (HTLV-1) infection and transformation

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    Human T-cell leukemia virus type 1 (HTLV-1) is the causative agent of two distinct pathologies, adult T-cell leukemia/lymphoma (ATLL), an aggressive neoplasm of mature CD4+ T-cells, and tropical spastic paraparesis/HTLV-1-associated myelopathy (TSP/HAM), a demyelinating neurodegenerative disease. The emerging importance of small noncoding RNAs in normal cell physiology and disease has prompted studies of their role in T-cell activation and transformation. The work described in the present thesis was aimed at understanding the role of small noncoding RNAs, in particular microRNAs and tRNA fragments (tRFs), in HTLV-1 infection and ATLL pathogenesis. The laboratory generated small RNA libraries to identify the repertoire of small noncoding RNAs expressed in two HTLV-1-infected T-cell lines (C91PL and MT-2) compared to normal CD4+ T-cells. Results revealed upregulation of miR-34a in the cell lines. Many tRFs were identified in both uninfected and infected cells. One of the most abundant tRFs (tRF-3019) was derived from the 3’ end of tRNA-proline, which is considered to be the primer for HTLV-1 reverse transcriptase. Results of an in vitro reverse transcriptase assay verified that tRF-3019 was capable of priming HTLV-1 reverse transcriptase. Both tRNA-proline and tRF-3019 were detected in HTLV-1 virus particles. tRF-3019 may thus play an important role in HTLV-1 reverse transcription and could represent a target to control HTLV-1 infection. Data from a microarray-based analysis of microRNA expression in ATLL samples compared to normal CD4+ T-cells revealed 21 downregulated microRNAs and 6 upregulated microRNAs. Upregulated microRNAs included miR-34a, which is a member of the highly conserved miR-34 family that acts as a tumor suppressor induced by p53 in other cell types. However, p53 is known to be functionally inactivated or mutated in ATLL cells and HTLV-1-infected cell lines. Treatment of infected cell lines with nutlin-3a, a drug that restores p53 activity by interfering with MDM2, resulted in an upregulation of miR-34a and strong downregulation of several of its predicted targets. These findings indicate that unblocking the p53 pathway in HTLV-1-infected cells promotes engagement of the miR-34a/mRNA regulatory network. The final aim of the project was to identify microRNAs regulated by the viral regulatory protein Tax. To this end the HTLV-1-negative T-cell line Jurkat was transfected with a Tax expression plasmid and assayed for changes in mRNA and microRNA expression by quantitative RT-PCR. Results revealed significant alterations in the levels of 7 microRNAs in the presence of Tax. These included let-7g, whose levels were reduced in the Tax-expressing cells. Let-7g was also found to be downregulated in ATLL samples compared to normal CD4 cells analysed by microarrays, suggesting that this microRNA might play a tumor suppressor role in HTLV-1-mediated transformation. Experiments are currently underway to identify targets of let-7g in infected cells using as a starting point 14 genes identified by integrating results from microRNA target prediction programs with expression profiles for microRNAs and mRNAs in ATLL cells vs. CD4 controls

    Understanding Anomaly Detection Techniques for Symbolic Sequences

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    We present a comparative evaluation of a large number of anomaly detection techniques on a variety of publicly available as well as artificially generated data sets. Many of these are existing techniques while some are slight variants and/or adaptations of traditional anomaly detection techniques to sequence data. The specific contributions of this paper are as follows: (i). This evaluation facilitates understanding of the relative strengths and weaknesses of different techniques. Through careful experimentation, we illustrate that the performance of different techniques is dependent on the nature of sequences, and the nature of anomalies in the sequences. No one technique outperforms all others. For most techniques we also identify some data sets on which they perform very well, and some on which they perform poorly. (ii). We investigate variants that have not been tried before. For example, we evaluate a k-nearest neighbor based technique that performs better than a clustering based technique that was proposed for sequences. Also, we propose FSA-z, a variant of an existing Finite State Automaton (FSA) based technique, which performs consistently superior to the original FSA based technique. (iii). We propose a novel way of generating artificial sequence data sets to evaluate anomaly detection techniques. (iv). We characterize the nature of normal and anomalous test sequences, and associate the performance of each technique to one or more of such characteristics.Chandola, Varun; Mithal, Varun; Kumar, Vipin. (2009). Understanding Anomaly Detection Techniques for Symbolic Sequences. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215788

    sj-jpg-7-pie-10.1177_09544089211041192 - Supplemental material for Analysis of radiative nonlinear heat transfer in a convective flow of dusty fluid by capitalizing a non-Fourier heat flux model

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    Supplemental material, sj-jpg-7-pie-10.1177_09544089211041192 for Analysis of radiative nonlinear heat transfer in a convective flow of dusty fluid by capitalizing a non-Fourier heat flux model by G. Sowmya, B. Saleh, R. J. Punith Gowda, R. Naveen Kumar, R. S. Varun Kumar and M. Radhika in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
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