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Poverty Does Not Limit Tobacco Consumption among Tribal Populations: Evidence from Central India
Kumar, Surendra,Kumar, Dinesh,Muniyandi, Malaisamy,Soan, Visheshwar,Pandey, Maya,Mishra, Dinesh Kumar Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.10
Highly Efficient Photocatalytic Studies on Bi36 Fe2 O57 Ceramic Synthesized by Chemical Route
Manish Kumar Verma,Vinod Kumar,Upakar Patel,Vishnu Shankar Rai,Anup Kumar,Arup Kumar De,Aditya Kumar Prajapati,Dinesh Prajapati,Kedar Sahoo,Tapas Das,N. B. Singh,K. D. Mandal 한국전기전자재료학회 2023 Transactions on Electrical and Electronic Material Vol.24 No.5
Bi36 Fe2 O57 (BFO) polycrystalline ceramic was synthesized by economical chemical route. The single-phase formation of BFO ceramic was confirmed by powder X-ray diffraction studies. Nanosized formation of BFO ceramics established by XRD and TEM analysis. The bimodal distribution of grain size is observed with size ranging from 50 to 600 nm. It observed that the Bi36 Fe2 O57 photocatalyst exhibited higher catalytic activity for the degradation of Methylene Blue (MB) under visible-light irradiation The oxidation state of elements present in the BFO ceramic, was confirmed by XPS studies. The pseudocapacitive nature of BFO ceramic was observed by cyclic Voltammetry. The dielectric constant of BFO ceramic was found 375 at 1 kHz at 300 K. The dielectric loss was found 0.51 at 100 kHz and 300 K.
Dinesh Kumar Sriramulu,이선구 한국생물공학회 2023 KSBB Journal Vol.38 No.1
Molecular docking method helps predict the protein- ligand binding conformation, but its prediction accuracy is still limited and varies depending on the target ligand's structure and physicochemical properties. Therefore, understanding the ligand-dependent prediction accuracy is crucial in efficiently using the docking tool. In this study, we investigated how the prediction accuracy of AutoDock, a popular molecular docking tool, is affected by the aromaticity of the target ligand structure, ligand torsion number, and ligand hydrophobicity. The ligands with an aromatic ring showed substantially lower prediction accuracy than those without an aromatic ring. The ligands with lower torsion number showed higher prediction accuracy in the ligands with and without an aromatic ring. The hydrophobicity of ligands did not significantly influence the prediction accuracy in the case of ligands with an aromatic ring structure. However, the ligands without ring structure showed a clear difference in prediction accuracy depending on their hydrophobicity. These results are expected to be employed as a reference in molecular docking studies using AutoDock.
Tribochemistry of contact interfaces of nanocrystalline molybdenum carbide films
Kumar, D. Dinesh,Kumar, N.,Panda, Kalpataru,Kamalan Kirubaharan, A.M.,Kuppusami, P. Elsevier 2018 APPLIED SURFACE SCIENCE - Vol.447 No.-
<P><B>Abstract</B></P> <P>Transition metal carbides (TMC) are known for their improved tribological properties and are sensitive to the tribo-atmospheric environment. Nanocrystalline molybdenum carbide (MoC) thin films were deposited by DC magnetron sputtering technique using reactive CH<SUB>4</SUB> gas. The friction and wear resistance properties of MoC thin films were significantly improved in humid-atmospheric condition as compared to high-vacuum tribo-condition. A comprehensive chemical analysis of deformed contact interfaces was carried out by X-ray photoelectron spectroscopy (XPS), energy dispersive X-ray spectroscopy (EDX) and Raman spectroscopy. XPS and Raman spectroscopy showed the formation of stable molybdenum-oxide (MoO), molybdenum carbide (MoC) and amorphous carbon (a-C) tribo-phases. Moreover, during the sliding in humid-atmospheric condition, these phases were extensively deposited on the sliding steel ball counter body which significantly protected against undesirable friction and wear.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Reactive DC magnetron sputtered cubic phase of nanocrystalline MoC thin films. </LI> <LI> Chemical bonding analysis of MoC films using X-ray photoelectron spectroscopy. </LI> <LI> Tribological properties of MoC films in ambient and high-vacuum tribo-atmospheres. </LI> <LI> Comprehensive tribochemical analysis of contact interfaces. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>Friction and wear behavior of nanocrystalline MoC films under atmospheric and high-vacuum conditions.</P> <P>[DISPLAY OMISSION]</P>
FRACTIONAL CALCULUS FORMULAS INVOLVING $\bar{H}$-FUNCTION AND SRIVASTAVA POLYNOMIALS
Kumar, Dinesh Korean Mathematical Society 2016 대한수학회논문집 Vol.31 No.4
Here, in this paper, we aim at establishing some new unified integral and differential formulas associated with the $\bar{H}$-function. Each of these formula involves a product of the $\bar{H}$-function and Srivastava polynomials with essentially arbitrary coefficients and the results are obtained in terms of two variables $\bar{H}$-function. By assigning suitably special values to these coefficients, the main results can be reduced to the corresponding integral formulas involving the classical orthogonal polynomials including, for example, Hermite, Jacobi, Legendre and Laguerre polynomials. Furthermore, the $\bar{H}$-function occurring in each of main results can be reduced, under various special cases.
CERTAIN RESULTS ON EXTENDED GENERALIZED τ-GAUSS HYPERGEOMETRIC FUNCTION
Kumar, Dinesh,Gupta, Rajeev Kumar,Shaktawat, Bhupender Singh The Honam Mathematical Society 2016 호남수학학술지 Vol.38 No.4
The main aim of this paper is to introduce an extension of the generalized ${\tau}$-Gauss hypergeometric function $_rF^{\tau}_s(z)$ and investigate various properties of the new function such as integral representations, derivative formulas, Laplace transform, Mellin trans-form and fractional calculus operators. Some of the interesting special cases of our main results have been discussed.
Dinesh Kumar Vishwakarma,Konark Jain 한국전자통신연구원 2022 ETRI Journal Vol.44 No.2
Human activity recognition in real time is a challenging task. Recently, a plethora of studies has been proposed using deep learning architectures. The implementation of these architectures requires the high computing power of the machine and a massive database. However, handcrafted features-based machine learning models need less computing power and very accurate where features are effectively extracted. In this study, we propose a handcrafted model based on three-dimensional sequential skeleton data. The human body skeleton movement over a frame is computed through joint positions in a frame. The joints of these skeletal frames are projected into two-dimensional space, forming a “movement polygon.” These polygons are further transformed into a one-dimensional space by computing amplitudes at different angles from the centroid of polygons. The feature vector is formed by the sampling of these amplitudes at different angles. The performance of the algorithm is evaluated using a support vector machine on four public datasets: MSR Action3D, Berkeley MHAD, TST Fall Detection, and NTU-RGB+D, and the highest accuracies achieved on these datasets are 94.13%, 93.34%, 95.7%, and 86.8%, respectively. These accuracies are compared with similar state-of-the-art and show superior performance.