Institution
Indian Institute of Technology Ropar
Education•Ropar, India•
About: Indian Institute of Technology Ropar is a education organization based out in Ropar, India. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 1014 authors who have published 2878 publications receiving 35715 citations.
Topics: Catalysis, Computer science, Heat transfer, Ionic liquid, Chemistry
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: Nanofluids have seen enormous growth in popularity since they were proposed by Choi in 1995 as mentioned in this paper, and there were nearly 700 research articles where the term nanofluid was used in the title, showing rapid growth from 2006 (175) and 2001 (10).
Abstract: Nanofluids—a simple product of the emerging world of nanotechnology—are suspensions of nanoparticles (nominally 1–100 nm in size) in conventional base fluids such as water, oils, or glycols. Nanofluids have seen enormous growth in popularity since they were proposed by Choi in 1995. In the year 2011 alone, there were nearly 700 research articles where the term nanofluid was used in the title, showing rapid growth from 2006 (175) and 2001 (10). The first decade of nanofluid research was primarily focused on measuring and modeling fundamental thermophysical properties of nanofluids (thermal conductivity, density, viscosity, heat transfer coefficient). Recent research, however, explores the performance of nanofluids in a wide variety of other applications. Analyzing the available body of research to date, this article presents recent trends and future possibilities for nanofluids research and suggests which applications will see the most significant improvement from employing nanofluids.
679 citations
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Nicholas J Kassebaum1, Ryan M Barber1, Zulfiqar A Bhutta2, Zulfiqar A Bhutta3 +613 more•Institutions (272)
TL;DR: In this article, the authors quantified maternal mortality throughout the world by underlying cause and age from 1990 to 2015 for ages 10-54 years by systematically compiling and processing all available data sources from 186 of 195 countries and territories.
641 citations
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Haidong Wang1, Zulfiqar A Bhutta2, Zulfiqar A Bhutta3, Matthew M Coates1 +610 more•Institutions (263)
TL;DR: The Global Burden of Disease 2015 Study provides an analytical framework to comprehensively assess trends for under-5 mortality, age-specific and cause-specific mortality among children under 5 years, and stillbirths by geography over time and decomposed the changes in under- 5 mortality to changes in SDI at the global level.
591 citations
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Oregon Health & Science University1, Indian Institute of Technology Ropar2, Washington University in St. Louis3, New York University4, Radboud University Nijmegen5, Brown University6, University of Massachusetts Medical School7, University of Pittsburgh8, University of California, Davis9, Peking University10, Johns Hopkins University11, Kennedy Krieger Institute12, Nathan Kline Institute for Psychiatric Research13, MIND Institute14
TL;DR: Fundamental connectivity patterns in individuals are capable of differentiating the two most prominent ADHD subtypes, and resting-state functional connectivity MRI data can be used to characterize individual patients with ADHD and to identify neural distinctions underlying the clinical heterogeneity of ADHD.
Abstract: In recent years, there has been growing enthusiasm that functional magnetic resonance imaging (MRI) could achieve clinical utility for a broad range of neuropsychiatric disorders. However, several barriers remain. For example, the acquisition of large-scale datasets capable of clarifying the marked heterogeneity that exists in psychiatric illnesses will need to be realized. In addition, there continues to be a need for the development of image processing and analysis methods capable of separating signal from artifact. As a prototypical hyperkinetic disorder, and movement-related artifact being a significant confound in functional imaging studies, ADHD offers a unique challenge. As part of the ADHD-200 Global Competition and this special edition of Frontiers, the ADHD-200 Consortium demonstrates the utility of an aggregate dataset pooled across five institutions in addressing these challenges. The work aimed to (1) examine the impact of emerging techniques for controlling for "micro-movements," and (2) provide novel insights into the neural correlates of ADHD subtypes. Using support vector machine (SVM)-based multivariate pattern analysis (MVPA) we show that functional connectivity patterns in individuals are capable of differentiating the two most prominent ADHD subtypes. The application of graph-theory revealed that the Combined (ADHD-C) and Inattentive (ADHD-I) subtypes demonstrated some overlapping (particularly sensorimotor systems), but unique patterns of atypical connectivity. For ADHD-C, atypical connectivity was prominent in midline default network components, as well as insular cortex; in contrast, the ADHD-I group exhibited atypical patterns within the dlPFC regions and cerebellum. Systematic motion-related artifact was noted, and highlighted the need for stringent motion correction. Findings reported were robust to the specific motion correction strategy employed. These data suggest that resting-state functional connectivity MRI (rs-fcMRI) data can be used to characterize individual patients with ADHD and to identify neural distinctions underlying the clinical heterogeneity of ADHD.
460 citations
Authors
Showing all 1056 results
Name | H-index | Papers | Citations |
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Yashveer Singh | 22 | 58 | 1872 |
Pushpendra Singh | 22 | 189 | 1702 |
Ravibabu Mulaveesala | 21 | 107 | 1480 |
Narayanan C. Krishnan | 21 | 68 | 2575 |
Kulwinder Kaur | 21 | 107 | 1429 |
Ramanathan Subramanian | 21 | 72 | 1288 |
Harpreet Singh Arora | 21 | 102 | 2119 |
Himanshu Tyagi | 21 | 67 | 2608 |
Rakesh Kumar Maurya | 21 | 74 | 1881 |
Suman Pradhan | 20 | 65 | 1311 |
Harpreet Kaur | 20 | 157 | 1446 |
Raj P. Chhabra | 20 | 71 | 3115 |
Hemant Sharma | 20 | 85 | 1106 |
Balwinder Kaur | 20 | 26 | 1167 |
Vaibhav Shah | 20 | 72 | 1449 |