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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Daniel J. Klionsky1, Amal Kamal Abdel-Aziz2, Sara Abdelfatah3, Mahmoud Abdellatif4 +2980 more•Institutions (777)
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Abstract: In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
1,129 citations
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TL;DR: The applications of clustering in some fields like image segmentation, object and character recognition and data mining are highlighted and the approaches used in these methods are discussed with their respective states of art and applicability.
745 citations
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Betty Abelev1, Luke David Hanratty2, M. Esposito3, Edmundo Javier Garcia-Solis4 +940 more•Institutions (90)
TL;DR: The ALICE experiment at the CERN Large Hadron Collider as mentioned in this paper continuously took data during the first physics campaign of the machine from fall 2009 until early 2013, using proton and lead-ion beams.
Abstract: ALICE is the heavy-ion experiment at the CERN Large Hadron Collider. The experiment continuously took data during the first physics campaign of the machine from fall 2009 until early 2013, using proton and lead-ion beams. In this paper we describe the running environment and the data handling procedures, and discuss the performance of the ALICE detectors and analysis methods for various physics observables.
691 citations
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TL;DR: Phenolic acids are key class of dietary polyphenols, natural antioxidants that shields against growth and evolution in pathological conditions arise from oxidative stress.
646 citations
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04 Mar 2013
TL;DR: In this paper, the authors measured the transverse-momentum (p(T)) distributions and yields of pi, K, and p in Pb-Pb collisions at root s(NN) = 2.76 TeV.
Abstract: In this paper measurements are presented of pi(+/-), K-+/-, p, and (p) over bar production at midrapidity (vertical bar y vertical bar < 0.5), in Pb-Pb collisions at root s(NN) = 2.76 TeV as a function of centrality. The measurement covers the transverse-momentum (p(T)) range from 100, 200, and 300 MeV/c up to 3, 3, and 4.6 GeV/c for pi, K, and p, respectively. The measured p(T) distributions and yields are compared to expectations based on hydrodynamic, thermal and recombination models. The spectral shapes of central collisions show a stronger radial flow than measured at lower energies, which can be described in hydrodynamic models. In peripheral collisions, the p(T) distributions are not well reproduced by hydrodynamic models. Ratios of integrated particle yields are found to be nearly independent of centrality. The yield of protons normalized to pions is a factor similar to 1.5 lower than the expectation from thermal models.
485 citations
Authors
Showing all 1738 results
Name | H-index | Papers | Citations |
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Ganti S. Murthy | 23 | 89 | 2606 |
Arup Mahata | 23 | 53 | 1418 |
Neelesh Kumar Jain | 23 | 134 | 1954 |
Bhausaheb Dhokale | 23 | 33 | 1276 |
Anand Parey | 23 | 61 | 1692 |
Shailesh I. Kundalwal | 23 | 75 | 2187 |
Avinash Sonawane | 23 | 52 | 2384 |
Subodh Chandra Pal | 23 | 135 | 1690 |
Ajay Kushwaha | 23 | 68 | 1553 |
Salvatore De Pasquale | 22 | 98 | 1951 |
Pavan Kumar Kankar | 22 | 98 | 2020 |
Somaditya Sen | 22 | 165 | 1687 |
Muhammad Tanveer | 22 | 83 | 1238 |
Suman Mukhopadhyay | 22 | 70 | 1430 |
Anirban Sengupta | 22 | 233 | 1930 |