Institution
Tata Institute of Fundamental Research
Education•Mumbai, Maharashtra, India•
About: Tata Institute of Fundamental Research is a education organization based out in Mumbai, Maharashtra, India. It is known for research contribution in the topics: Magnetization & Large Hadron Collider. The organization has 7786 authors who have published 21742 publications receiving 622368 citations. The organization is also known as: TIFR.
Topics: Magnetization, Large Hadron Collider, Galaxy, Higgs boson, Lepton
Papers published on a yearly basis
Papers
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TL;DR: In this article, a metal/metal-oxide free, doped graphene derived from rhombohedral boron carbide (B4C) is demonstrated to be an effective bifunctional catalyst for the first time.
Abstract: A single material that can perform water oxidation and oxygen reduction reactions (ORR), also called bifunctional catalyst, represents a novel concept that emerged from recent materials research and that has led to applications in new-generation energy-storage systems, such as regenerative fuel cells. Here, metal/metal-oxide free, doped graphene derived from rhombohedral boron carbide (B4C) is demonstrated to be an effective bifunctional catalyst for the first time. B4C, one of the hardest materials in nature next to diamond and cubic boron nitride, is converted and separated in bulk to form heteroatom (boron, B) doped graphene (BG, yield ≈7% by weight, after the first cycle). This structural conversion of B4C to graphene is accompanied by in situ boron doping and results in the formation of an electrochemically active material from a non-electrochemically active material, broadening its potential for application in various energy-related technologies. The electrocatalytic efficacy of BG is studied using various voltammetric techniques. The results show a four-electron transfer mechanism as well as a high methanol tolerance and stability towards ORR. The results are comparable to those from commercial 20 wt% Pt/C in terms of performance. Furthermore, the bifunctionality of the BG is also demonstrated by its performance in water oxidation.
132 citations
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05 Apr 2004TL;DR: Two machine-learning paradigms, artificial neural networks and fuzzy inference system, are used to design an intrusion detection system and a signature pattern database is constructed using protocol analysis and neuro-fuzzy learning method.
Abstract: The intrusion detection system architecture commonly used in commercial and research systems have a number of problems that limit their configurability, scalability or efficiency. In this paper, two machine-learning paradigms, artificial neural networks and fuzzy inference system, are used to design an intrusion detection system. SNORT is used to perform real time traffic analysis and packet logging on IP network during the training phase of the system. Then a signature pattern database is constructed using protocol analysis and neuro-fuzzy learning method. Using 1998 DARPA Intrusion Detection Evaluation Data and TCP dump raw data, the experiments are deployed and discussed.
132 citations
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University of Amsterdam1, Massachusetts Institute of Technology2, University of Bristol3, Harvard University4, Spanish National Research Council5, University of California, Berkeley6, University of Virginia7, Tata Institute of Fundamental Research8, California Institute of Technology9, University of California, Los Angeles10, University of Western Ontario11, University of Colorado Boulder12, Goddard Space Flight Center13
TL;DR: The results of a broadband simultaneous campaign on the nearby low-luminosity active galactic nucleus M81*, from 2005 February through August, were presented in this paper, where Chandra X-Ray Observatory with the HETGS, complemented by ground-based observations with the Giant Meterwave Radio Telescope, the Very Large Array and very large baseline Array, the Plateau de Bure Interferometer at IRAM, the Submillimeter Array, and Lick Observatory.
Abstract: We present the results of a broadband simultaneous campaign on the nearby low-luminosity active galactic nucleus M81*. From 2005 February through August, we observed M81* five times using the Chandra X-Ray Observatory with the HETGS, complemented by ground-based observations with the Giant Meterwave Radio Telescope, the Very Large Array and Very Large Baseline Array, the Plateau de Bure Interferometer at IRAM, the Submillimeter Array, and Lick Observatory. We discuss how the resulting spectra vary over short and longer timescales compared to previous results, especially in the X-rays where this is the first ever longer term campaign at spatial resolution high enough to nearly isolate the nucleus (17 pc). We compare the spectrum to our Galactic center weakly active nucleus Sgr A*, which has undergone similar campaigns, as well as to weakly accreting X-ray binaries in the context of outflow-dominated models. In agreement with recent results suggesting that the physics of weakly accreting black holes scales predictably with mass, we find that the exact same model that successfully describes hard-state X-ray binaries applies to M81*, with very similar physical parameters.
132 citations
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TL;DR: The purpose of this review is to discuss the role of CREB and BDNF in depression and as targets/mediators of antidepressant action.
Abstract: Depression is the major psychiatric ailment of our times, afflicting approximately 20% of the population. Despite its prevalence, the pathophysiology of this complex disorder is not well understood. In addition, although antidepressants have been in existence for the past several decades, the mechanisms that underlie their therapeutic effects remain elusive. Building evidence implicates a role for the plasticity of specific neuro-circuitry in both the pathophysiology and treatment of depression. Damage to limbic regions is thought to contribute to the etiology of depression and antidepressants have been reported to reverse such damage and promote adaptive plasticity. The molecular pathways that contribute to the damage associated with depression and antidepressant-mediated plasticity are a major focus of scientific enquiry. The transcription factor cyclic AMP response element binding protein (CREB) and the neurotrophin brain-derived neurotrophic factor (BDNF) are targets of diverse classes of antidepressants and are known to be regulated in animal models and in patients suffering from depression. Given their role in neuronal plasticity, CREB and BDNF have emerged as molecules that may play an important role in modulating mood. The purpose of this review is to discuss the role of CREB and BDNF in depression and as targets/mediators of antidepressant action.
132 citations
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01 May 1996TL;DR: In this article, it was shown that G-equivariant topological factors of L/gl × G/P, where the real rank of G is greater than 1, P is a parabolic subgroup of G and G acts diagonally.
Abstract: LetL be a Lie group and λ a lattice inL. SupposeG is a non-compact simple Lie group realized as a Lie subgroup ofL and
$$\overline {GA} = L$$
. LetaeG be such that Ada is semisimple and not contained in a compact subgroup of Aut(Lie(G)). Consider the expanding horospherical subgroup ofG associated toa defined as U+ ={geG:a
−n gan} →e as
n → ∞. Let Ω be a non-empty open subset ofU
+ andn
i
→ ∞ be any sequence. It is showed that
$$\overline { \cup _{i = 1}^\infty a^n \Omega \Lambda } = L$$
. A stronger measure theoretic formulation of this result is also obtained. Among other applications of the above result, we describeG-equivariant topological factors of L/gl × G/P, where the real rank ofG is greater than 1,P is a parabolic subgroup ofG andG acts diagonally. We also describe equivariant topological factors of unipotent flows on finite volume homogeneous spaces of Lie groups.
132 citations
Authors
Showing all 7857 results
Name | H-index | Papers | Citations |
---|---|---|---|
Pulickel M. Ajayan | 176 | 1223 | 136241 |
Suvadeep Bose | 154 | 960 | 129071 |
Subir Sarkar | 149 | 1542 | 144614 |
Sw. Banerjee | 146 | 1906 | 124364 |
Dipanwita Dutta | 143 | 1651 | 103866 |
Ajit Kumar Mohanty | 141 | 1124 | 93062 |
Tariq Aziz | 138 | 1646 | 96586 |
Andrew Mehta | 137 | 1444 | 101810 |
Suchandra Dutta | 134 | 1265 | 87709 |
Kajari Mazumdar | 134 | 1295 | 94253 |
Bobby Samir Acharya | 133 | 1121 | 100545 |
Gobinda Majumder | 133 | 1523 | 87732 |
Eric Conte | 132 | 1206 | 84593 |
Prashant Shukla | 131 | 1341 | 85287 |
Alessandro Montanari | 131 | 1387 | 93071 |