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Ultrathin titania coating for high-temperature stable SiO<sub>2</sub>/Pt nanocatalysts
Satyanarayana Reddy, A.,Kim, Sunmi,Young Jeong, Hu,Jin, Sookyoung,Qadir, Kamran,Jung, Kyoungmin,Ho Jung, Chan,Yeul Yun, Jung,Yeong Cheon, Jae,Yang, Jun-Mo,Hoon Joo, Sang,Terasaki, Osamu,Young Park, Je Royal Society of Chemistry 2011 Chemical communications Vol.47 No.29
<P>The facile synthesis of silica supported platinum nanoparticles with ultrathin titania coating to enhance metal–support interactions suitable for high temperature reactions is reported, as thermal and structure stability of metal nanoparticles is important for catalytic reactions.</P> <P>Graphic Abstract</P><P>Synthesis of supported platinum nanoparticles with ultrathin titania coating for high thermal stability and enhanced metal–support interactions is reported. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c1cc12022k'> </P>
G. Satyanarayana,G. Nageswara Rao,K. Vijaya Babu,G. V. Santosh Kumar,G. Dinesh Reddy 한국물리학회 2019 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.74 No.7
In this work, Ni$_{0.7}$Zn$_{0.2}$Cu$_{0.1}$Fe$_{2-x}$Cr$_x$O$_4$ ($x$ = 0.02, 0.04, 0.06, 0.08 and 0.1) ferrites were synthesized by using the solid state reaction method and how relevant properties of the samples were modified accordingly. The structural, morphological, magnetic and electrical features of the ferrites were evaluated by using X-ray diffraction, scanning electron microscopy, Fourier transmission infrared (FTIR) spectra, vibrating sample magnetometry, electron spin resonance and network analyser. The lattice constant decreases with increasing chromium concentration and the decrease in the lattice constant is attributed to the ionic radius of chromium being smaller than that of iron. The distribution of metal cations in the spinel structure was estimated from the X-ray diffraction data and showed that along with Ni$^{2+}$ ions, most of the Zn$^{2+}$ and the Cu$^{2+}$ ions additionally occupied the octahedral [B] sites. The FTIR spectra revealed two prominent frequency bands in the wave number range 400--600 cm$^{-1}$ which confirm the cubic spinel structure. The magnetic properties, such as the initial permeability, saturation magnetization and coercivity, were investigated at room temperature. The frequency-dependent dielectric constant was observed to decrease with increasing chromium concentration. This behavior was using Koop’s phenomenological theory.
Koteshwara Reddy, K.,Satyanarayana, M.,Yugender Goud, K.,Vengatajalabathy Gobi, K.,Kim, Hern Elsevier 2017 Materials Science and Engineering C Vol.79 No.-
<P><B>Abstract</B></P> <P>An efficient electrochemical sensor for selective detection of the neurotransmitter, epinephrine (Epn), has been fabricated with the aid of a functionalized multiwall carbon nanotube–chitosan biopolymer nanocomposite (<I>Chit</I>-<I>fCNT</I>) electrode. Multiwall carbon nanotubes (CNT) were successfully functionalized with the aid of nitric acid and confirmed by the Raman spectral data. Functionalized carbon nanotubes (<I>fCNT</I>) were dispersed in chitosan solution and the resulting bio-nanocomposite was used for the fabrication of sensor surface by drop and cast method. Electrochemical characteristics of the fabricated sensor were understood using cyclic, differential pulse voltammetry (CV, DPV) and electrochemical impedance analysis for the detection of Epn in phosphate buffer (pH7.4). CV and impedance analysis revealed that the <I>Chit</I>-<I>fCNT</I> modified electrode enhances the electrodic reaction of Epn and facilitated the electron transfer more readily compared to that of bare electrode. Applying DPV for the detection of Epn, achieved 30nM as the lowest detection limit in the determination range of 0.05–10μM and the analytical time as low as 10s. Selective determination of Epn against the coexistence of a number of biological electroactive interferents and reproducible results for the determination of Epn were demonstrated. The present biosensor has been found efficient for successful direct determination of Epn from pharmaceutical adrenaline formulations and urine samples.</P> <P><B>Highlights</B></P> <P> <UL> <LI> <I>Chitosan</I>-<I>fCNT</I> facilitated a stable and uniform nanocomposite film on the electrode surface. </LI> <LI> Raman spectral data substantiated the functionalization of CNT. </LI> <LI> Best selectivity towards epinephrine in the presence of potential biological interferents </LI> <LI> Very good reproducibility of results with significant low-detection limit of epinephrine </LI> <LI> Applicable to the direct detection of epinephrine from urine and pharmaceutical samples </LI> </UL> </P>
FIXED DIVISOR OF A MULTIVARIATE POLYNOMIAL AND GENERALIZED FACTORIALS IN SEVERAL VARIABLES
Rajkumar, Krishnan,Reddy, Arikatla Satyanarayana,Semwal, Devendra Prasad Korean Mathematical Society 2018 대한수학회지 Vol.55 No.6
We define new generalized factorials in several variables over an arbitrary subset ${\underline{S}}{\subseteq}R^n$, where R is a Dedekind domain and n is a positive integer. We then study the properties of the fixed divisor $d(\underline{S},f)$ of a multivariate polynomial $f{\in}R[x_1,x_2,{\ldots},x_n]$. We generalize the results of Polya, Bhargava, Gunji & McQuillan and strengthen that of Evrard, all of which relate the fixed divisor to generalized factorials of ${\underline{S}}$. We also express $d(\underline{S},f)$ in terms of the images $f({\underline{a}})$ of finitely many elements ${\underline{a}}{\in}R^n$, generalizing a result of Hensel, and in terms of the coefficients of f under explicit bases.
An Efficient Machine Learning Model for Clinical Support to Predict Heart Disease
Rao, B.Vara Prasada,Reddy, B.Satyanarayana,Padmaja, I. Naga,Kumar, K. Ashok International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.6
Early detection can help prevent heart disease, which is one of the most common reasons for death. This paper provides a clinical support model for predicting cardiac disease. The model is built using two publicly available data sets. The admissibility and application of the the model are justified by a sequence of tests. Implementation of the model and testing are also discussed
Fixed divisor of a multivariate polynomial and generalized factorials in several variables
Krishnan Rajkumar,Arikatla Satyanarayana Reddy,Devendra Prasad Semwal 대한수학회 2018 대한수학회지 Vol.55 No.6
We define new generalized factorials in several variables over an arbitrary subset $\underline{S} \subseteq R^n,$ where $R$ is a Dedekind domain and $n$ is a positive integer. We then study the properties of the fixed divisor $d(\underline{S},f)$ of a multivariate polynomial $f \in R[x_1,x_2, \ldots, x_n]$. We generalize the results of Polya, Bhargava, Gunji \& McQuillan and strengthen that of Evrard, all of which relate the fixed divisor to generalized factorials of $\underline{S}$. We also express $d(\underline{S},f)$ in terms of the images $f(\underline{a})$ of finitely many elements $\underline{a} \in R^n$, generalizing a result of Hensel, and in terms of the coefficients of $f$ under explicit bases.