Institution
Indian Institute of Technology Indore
Education•Indore, Madhya Pradesh, India•
About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.
Topics: Computer science, Chemistry, Catalysis, Fading, Raman spectroscopy
Papers published on a yearly basis
Papers
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TL;DR: Mycobacterium tuberculosis LprE is an important virulence factor that plays a crucial role in mycobacterial pathogenesis in the context of innate immunity and the inhibition of phago-lysosome fusion by LprEMtb was found to be due to downregulation of IL-12 and IL-22 cytokines.
Abstract: Despite representing a very important class of virulence proteins, the role of lipoproteins in the pathogenesis of Mycobacterium tuberculosis remains elusive. In this study, we investigated the role of putative lipoprotein LprE in the subversion of host immune responses using the M. tuberculosis CDC1551 LprE (LprE Mtb ) mutant (Mtb∆LprE). We show that deletion of LprE Mtb results in reduction of M. tuberculosis virulence in human and mouse macrophages due to upregulation of vitamin D3-responsive cathelicidin expression through the TLR2-dependent p38-MAPK-CYP27B1-VDR signaling pathway. Conversely, episomal expression of LprE Mtb in Mycobacterium smegmatis improved bacterial survival. Infection in siTLR2-treated or tlr2-/- macrophages reduced the survival of LprE Mtb expressing M. tuberculosis and M. smegmatis because of a surge in the expression of cathelicidin. Infection with the LprE Mtb mutant also led to accumulation of autophagy-related proteins (LC3, Atg-5, and Beclin-1) and augmented recruitment of phagosomal (EEA1 and Rab7) and lysosomal (LAMP1) proteins, thereby resulting in the reduction of the bacterial count in macrophages. The inhibition of phago-lysosome fusion by LprE Mtb was found to be due to downregulation of IL-12 and IL-22 cytokines. Altogether, our data indicate that LprE Mtb is an important virulence factor that plays a crucial role in mycobacterial pathogenesis in the context of innate immunity.
36 citations
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TL;DR: An extensive performance investigation showed that the proposed integrated TCM system provides a robust problem-solving framework for the intelligent machining process.
Abstract: A tool condition monitoring (TCM) system is vital for the intelligent machining process However, literature has mostly ignored the interaction effect between product quality and tool degradation and has devoted less attention to the criterion of integrated diagnostics and prognostics to cutting tools In this paper, we aim to bridge the gap and make an attempt to propose a novel integrated tool condition monitoring system based on the relationship between product quality and tool degradation First, a cost efficient experimentation concerning high-speed CNC milling machining was implemented Subsequently, a comprehensive correlation investigation was performed; revealing strong positive relationship exists between product quality and tool degradation Mapping this relationship, an integrated TCM system pertaining to diagnostics and prognostics was proposed Herein, the diagnostic reliability was enhanced by researching on the use of a multi-level categorization of degradation The prognostic competence was enhanced by formulating it explicitly for the tools critical zone as a function of tool life The system is integrated in a manner that, whenever the degradation curve of the tool reaches the critical zone, prognostics module is triggered, and remaining useful life is assessed instantaneously To enhance the performance of this system, it is modeled employing support vector machine with optimal training technique The proposed system was validated based on the experimental data An extensive performance investigation showed that the proposed system provides a robust problem-solving framework for the intelligent machining process
36 citations
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36 citations
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TL;DR: Polynuclear complexes 1, 2, and 4 are CO2-mediated functional materials that have been produced in benzonitrile solvent medium and Interestingly, complex 4 of cleaved ligand L2 is a wonderful copper-based functional material with appreciable surface area.
Abstract: A series of CO2-promoted Cu(II) coordination polymers in different coordination environments has been synthesized. The molecular description and properties of the four complexes have been investigated by CHN, MS, UV-VIS, IR, PXRD, TEM, SQUID, SC-XRD, NLDFT, and electrical property characterizations. Single crystal X-ray structure determination of [Cu(bpy)(C2O4)]n (1) and [Cu(2-AMP)2(C2O4)]n (2) depicts their polynuclearity [bpy = 2,2′-bipyridine, 2-AMP = 2-aminopyridine; 2-AMP is a cleaved ligand of starting ligand L1 = N-(phenyl(pyridin-2-ylamino)methyl)pyridin-2-amine]. Both complexes have distorted octahedral geometry. Starting from another tripodal ligand L2 [L2 = 2-((((2-(pyridin-2-yl)ethyl)(pyridin-2-yl)methyl)amino)methyl)phenol, L2′ (cleaved L2 ligand) = 2-(pyridin-2-yl)-N-((pyridin-2-yl)methyl)ethanamine], a mononuclear complex [Cu(L2)(Cl)] (3) has been obtained with a distorted square pyramidal geometry. Polynuclear complexes 1, 2, and 4 are CO2-mediated functional materials that have been produced in benzonitrile solvent medium. Interestingly, complex 4 of cleaved L2 ligand is a wonderful copper-based functional material with appreciable surface area. Powder XRD and TEM analysis of complex 4 supports its mesoporosity. Moreover, all four complexes can function as semiconductors over a wide temperature range.
36 citations
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TL;DR: In this article, a detailed model of the meltblowing process is described, which allows prediction of integral laydown properties such as thickness, porosity and permeability, as well as the detailed three-dimensional micro-structure, fiber size distribution and polymer mass distribution.
36 citations
Authors
Showing all 1738 results
Name | H-index | Papers | Citations |
---|---|---|---|
Raghunath Sahoo | 106 | 556 | 37588 |
Biswajeet Pradhan | 98 | 735 | 32900 |
A. Kumar | 96 | 505 | 33973 |
Franco Meddi | 84 | 476 | 24084 |
Manish Sharma | 82 | 1407 | 33361 |
Anindya Roy | 59 | 301 | 14306 |
Krishna R. Reddy | 58 | 400 | 11076 |
Sudipan De | 54 | 99 | 10774 |
Sudip Chakraborty | 51 | 343 | 9319 |
Shaikh M. Mobin | 51 | 515 | 11467 |
Ashok Kumar | 50 | 405 | 10001 |
Ankhi Roy | 49 | 259 | 8634 |
Aditya Nath Mishra | 49 | 139 | 7607 |
Ram Bilas Pachori | 48 | 182 | 8140 |
Pragati Sahoo | 47 | 133 | 6535 |