Institution
Birla Institute of Technology, Mesra
Education•Ranchi, India•
About: Birla Institute of Technology, Mesra is a education organization based out in Ranchi, India. It is known for research contribution in the topics: Computer science & Dielectric. The organization has 2801 authors who have published 4789 publications receiving 52426 citations. The organization is also known as: BIT.
Topics: Computer science, Dielectric, Microstrip antenna, Population, CMOS
Papers published on a yearly basis
Papers
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TL;DR: In this paper, an initial value problem is solved for the motion of an incompressible viscous conducting fluid with embedded small inert spherical particles bounded by an infinite rigid nonconducting plate.
Abstract: An initial value problem is solved for the motion of an incompressible viscous conducting fluid with embedded small inert spherical particles bounded by an infinite rigid non-conducting plate. Both the plate and the fluid are in a state of solid-body rotation with constant angular velocity about an axis normal to the plate. The unsteady flow is generated in the fluid-particle system due to velocity tooth pulses subjected on the plate in presence of a transverse magnetic field. It is assumed that no external electric field is imposed on the system and the magnetic Prandtl number is very small. The operational method is used to derive exact solutions for the fluid and the particle velocities and the shear stress at the wall. Some limiting cases of these solutions including the steady-state results are discussed. The general solutions for the fluid velocity and the wall shear stress are examined numerically and the simultaneous effects of rotation, the magnetic field and the particles on them are determined. Finally, the present result for the fluid velocity has been compared numerically with that generated by an impulsively moved plate in a particular case when time is large.
21 citations
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01 Jan 2017TL;DR: This work proposes a framework which extracts the permission features of manifest files, generates feature vectors and uses different machine learning classifiers of a Data Mining Tool, Weka to classify android applications.
Abstract: Mobile malwares have been rising in scale as Android operating system enabled smart phones are getting popularity around the world. To fight against this outburst of Android malwares, different static and dynamic malware detection methods have been proposed. One of the popular methods of static detection technique is permission based detection of malwares through AndroidManifest.xml file using machine learning classifiers. However, the comparison of different machine learning classifiers on different data sets has not been fully cultivated by existing literatures. In this work we propose a framework which extracts the permission features of manifest files, generates feature vectors and uses different machine learning classifiers of a Data Mining Tool, Weka to classify android applications. We evaluate our method on a set of total 170 applications (100 benign, 70 malwares) and results show that highest TPR rate is 96.70 % while accuracy is up to 77.13 % and highest F1 score is 0.8583.
21 citations
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TL;DR: In this article, the grafting of polyacrylamide chains on the polysaccharide backbone was confirmed through various physicochemical techniques such as intrinsic viscosity measurement, 13C-NMR spectra, FTIR spectroscopy, elemental analysis, scanning electron microscopy morphology, thermogravimetric analysis study, number-average molecular weight, and aqueous solubility.
Abstract: Polyacrylamide-grafted barley (BAR-g-PAM) was synthesized by ceric ion-based conventional method. The grafting of polyacrylamide chains on the polysaccharide backbone was confirmed through various physicochemical techniques such as intrinsic viscosity measurement, 13C-NMR spectra, FTIR spectroscopy, elemental analysis, scanning electron microscopy morphology, thermogravimetric analysis study, number-average molecular weight, and aqueous solubility. Furthermore, flocculation efficacy of the graft copolymers was studied in coal fine suspension through “jar test” procedure, toward its possible application as a novel flocculant for treatment of coal washery effluent. BAR-g-PAM is reported as a novel flocculant that can be used for bulk treatment of coal washery effluents. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2014, 131, 41046.
21 citations
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01 Apr 201221 citations
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TL;DR: A series of 2-methoxy-4-(5-phenyl-4,5-dihydro-1H-pyrazol-3-yl)phenol (pyrazoline) derivatives have been synthesized and tested for human monoamine oxidase (hMAO) inhibitory activity and revealed that 2 provided the best blood-brain barrier permeability among the derivatives synthesized.
Abstract: A series of 2-methoxy-4-(5-phenyl-4,5-dihydro-1H-pyrazol-3-yl)phenol (pyrazoline) derivatives (2-6) have been synthesized and tested for human monoamine oxidase (hMAO) inhibitory activity. The most active derivative (2) behaved as a competitive hMAO-A inhibitor, with an inhibition constant value of 0.08 μM and a strong hMAO-A selectivity (Ki(hMAO-B)/Ki(hMAO-A) > 1751). In addition, 2 exhibited little to no cytotoxic effects up to a 25 μM concentration and provided the best blood-brain barrier permeability among the derivatives synthesized. Molecular dynamics simulations revealed that a chlorine substituent at the para-position of the phenyl ring in 2 enabled a π-π stacking interaction with Tyr407 and Tyr444 that resulted in the formation of an "aromatic sandwich" structure. Consequently, this tight-binding aromatic cage culminated in a dramatically reduced active site volume that is believed to be the origin of the observed selectivity between the hMAO-A and hMAO-B isozymes. Removal of the chlorine from 2 disrupted the favorable intermolecular interactions and resulted in a selectivity change towards hMAO-B.
21 citations
Authors
Showing all 2858 results
Name | H-index | Papers | Citations |
---|---|---|---|
Bharat Bhushan | 116 | 1276 | 62506 |
Santosh Kumar | 80 | 1196 | 29391 |
Ramesh Chandra | 66 | 620 | 16293 |
J. Paulo Davim | 64 | 382 | 13403 |
Manish Kumar | 61 | 1425 | 21762 |
Sandeep Singh | 52 | 670 | 11566 |
Ajar Nath Yadav | 48 | 147 | 6090 |
Indranil Manna | 46 | 263 | 9306 |
Anant Paradkar | 43 | 195 | 6260 |
Sagar Pal | 40 | 141 | 5271 |
Pratyoosh Shukla | 39 | 194 | 4373 |
Neha Gupta | 36 | 213 | 4782 |
Prasanta K. Jana | 35 | 169 | 4135 |
Sumit Basu | 34 | 123 | 4275 |
Pradeep Sharma | 33 | 436 | 4825 |