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Institution

Indian Institute of Technology Kharagpur

EducationKharagpur, India
About: Indian Institute of Technology Kharagpur is a education organization based out in Kharagpur, India. It is known for research contribution in the topics: Computer science & Dielectric. The organization has 16887 authors who have published 38658 publications receiving 714526 citations.


Papers
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Journal ArticleDOI
TL;DR: It is depicted that p-Coumaric acid inhibited the growth of colon cancer cells by inducing apoptosis through ROS-mitochondrial pathway.
Abstract: AIM: To investigate the events associated with the apoptotic effect of p-Coumaric acid, one of the phenolic components of honey, in human colorectal carcinoma (HCT-15) cells. METHODS: 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tertazolium-bromide assay was performed to determine the antiproliferative effect of p-Coumaric acid against colon cancer cells. Colony forming assay was conducted to quantify the colony inhibition in HCT 15 and HT 29 colon cancer cells after p-Coumaric acid treatment. Propidium Iodide staining of the HCT 15 cells using flow cytometry was done to study the changes in the cell cycle of treated cells. Identification of apoptosis was done using scanning electron microscope and photomicrograph evaluation of HCT 15 cells after exposing to p-Coumaric acid. Levels of reactive oxygen species (ROS) of HCT 15 cells exposed to p-Coumaric acid was evaluated using 2’, 7’-dichlorfluorescein-diacetate. Mitochondrial membrane potential of HCT-15 was assessed using rhodamine-123 with the help of flow cytometry. Lipid layer breaks associated with p-Coumaric acid treatment was quantified using the dye merocyanine 540. Apoptosis was confirmed and quantified using flow cytometric analysis of HCT 15 cells subjected to p-Coumaric acid treatment after staining with YO-PRO-1. RESULTS: Antiproliferative test showed p-Coumaric acid has an inhibitory effect on HCT 15 and HT 29 cells with an IC50 (concentration for 50% inhibition) value of 1400 and 1600 μmol/L respectively. Colony forming assay revealed the time-dependent inhibition of HCT 15 and HT 29 cells subjected to p-Coumaric acid treatment. Propidium iodide staining of treated HCT 15 cells showed increasing accumulation of apoptotic cells (37.45 ± 1.98 vs 1.07 ± 1.01) at sub-G1 phase of the cell cycle after p-Coumaric acid treatment. HCT-15 cells observed with photomicrograph and scanning electron microscope showed the signs of apoptosis like blebbing and shrinkage after p-Coumaric acid exposure. Evaluation of the lipid layer showed increasing lipid layer breaks was associated with the growth inhibition of p-Coumaric acid. A fall in mitochondrial membrane potential and increasing ROS generation was observed in the p-Coumaric acid treated cells. Further apoptosis evaluated by YO-PRO-1 staining also showed the time-dependent increase of apoptotic cells after treatment. CONCLUSION: These results depicted that p-Coumaric acid inhibited the growth of colon cancer cells by inducing apoptosis through ROS-mitochondrial pathway.

131 citations

Proceedings ArticleDOI
05 Jun 2011
TL;DR: TeSR is proposed, a Temporal Self-Referencing approach that compares the current signature of a chip at two different time windows to completely eliminate the effect of process noise, thus providing high detection sensitivity for Trojans of varying size.
Abstract: Malicious modification of integrated circuits, referred to as Hardware Trojans, in untrusted fabrication facility has emerged as a major security threat. Logic testing approaches are not very effective for detecting large sequential Trojans which require multiple state transitions often triggered by rare circuit events in order to activate and cause malfunction. On the other hand, side-channel analysis has emerged as an effective approach for detection of such large sequential Trojans. However, existing side-channel approaches suffer from large reduction in detection sensitivity with increasing process variations or decreasing Trojan size. In this paper, we propose TeSR, a Temporal Self-Referencing approach that compares the current signature of a chip at two different time windows to completely eliminate the effect of process noise, thus providing high detection sensitivity for Trojans of varying size. Furthermore, unlike existing approaches, it does not require golden chip instances as a reference. Simulation results for three complex designs and three representative sequential Trojan circuits demonstrate the effectiveness of the approach under large inter- and intra-die process variations.

131 citations

Journal ArticleDOI
TL;DR: A comprehensive review of the methods and approaches used for the evaluation of aquifer vulnerability for resource and source protection is presented in this paper, where the major challenges of vulnerability assessment are highlighted and a way forward is suggested.

131 citations

Journal ArticleDOI
TL;DR: From dual-catalyst combination studies varying the transition metal and main group metal partner, the efficiency of the present catalysts is attributed to the electrophilic "IrIII-SnIV" core.
Abstract: The highly active Friedel−Crafts alkylation (FCA) catalyst, [Ir(COD)Cl(SnCl3)(SnCl4)(arene)]+Cl- (1-SnCl4), is easily generated in one-pot from [Ir(COD)Cl]2 or [Ir(COD)(μ-Cl)Cl(SnCl3)]2 (1) and SnC...

130 citations

Journal ArticleDOI
TL;DR: Four multiresponsive and self-sustaining metallogels were synthesized by the reaction of the disodium salt of the ligand carboxymethyl-(3,5-di-tert-butyl-2-hydroxy-benzyl)amino acetic acid with Cd( II) and Zn(II) halides, which were found to show excellent selectivity for dye adsorption and separation.
Abstract: Four multiresponsive and self-sustaining metallogels were synthesized by the reaction of the disodium salt of the ligand carboxymethyl-(3,5-di-tert-butyl-2-hydroxy-benzyl)amino acetic acid with Cd(II) and Zn(II) halides, which were found to show excellent selectivity for dye adsorption and separation, and one of the gels shows a rare self-healing property.

130 citations


Authors

Showing all 17290 results

NameH-indexPapersCitations
Rajdeep Mohan Chatterjee11099051407
Vijay P. Singh106169955831
Arun Majumdar10245952464
Sanjay Gupta9990235039
Biswajeet Pradhan9873532900
Sandeep Kumar94156338652
Jürgen Eckert92136842119
Praveen Kumar88133935718
Tuan Vo-Dinh8669824690
Lawrence Carin8494931928
Anindya Dutta8224833619
Aniruddha B. Pandit8042722552
Krishnendu Chakrabarty7999627583
Ramesh Jain7855637037
Thomas Thundat7862222684
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023284
2022851
20213,142
20202,907
20192,779
20182,489