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Narendra Pal Singh Chauhan,Masoud Mozafari,Narendra Singh Chundawat,Kiran Meghwal,Rakshit Ameta,Suresh C. Ameta 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.36 No.-
A simple electrochemical reduction procedure can be applied to nanostructured composite films ofpolyaniline (PANI) and graphene oxide (GO), which results conversion of GO into reduced GO (rGO) withimproved electroactivity of the PANI composite films. These also suffer from certain drawbacks likecyclic stability and lesser electrochemical properties. Three-dimensional hollow balls of graphene/polyaniline (3D-HBGP) hybrid and poly(methyl methacrylate) (PMMA)/polyaniline, sulfonatedgraphene/polyaniline (SG/PANI) and colloidal graphene oxide/polyaniline (PANI CGO) with high energydensity 24.3 W h kg 1 and power density 28.1 kW kg 1 are good candidates for this purpose. This reviewsummarizes developmental stage of different nanocomposites based on graphene and polyaniline.
Narendra Pal Singh Chauhan 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.3
A novel class of linear terpolymer resins have been prepared from various macromers formed by vanillinoxime (VO), formaldehyde (F) and p-chloro/p-methylacetophenone in the presence of an acid as catalyst by convenientpolycondensation process. The conversion of different macromers into respective terpolymeric resin was studiedby DSC analysis from −50 oC to 250 oC. The first thermal transition endotherms ranging from 108-137 oC (VOFCA)and 125-150 oC (VOFMA) are due to expulsion of water molecules, and the second thermal transition exotherms 177-247 oC (VOFCA) and 183.9-249.8 oC (VOFMA) are attributed to the formation of methylene linkage between macromersmoieties by utilizing methlol groups at terminals. The activation energy required for conversion of methylol intomethylene groups for VOFCA and VOFMA was 3.4 and 3.9 kJ/mol, respectively. Structural confirmations were determinedthrough IR, Uv-Vis, 1H NMR spectroscopy and GPC data. The activation energy (Ea) and thermodynamicparameters of the thermal decomposition process were investigated with thermogravimetric analysis (TGA) by isoconversionalintegral Kissinger-Akahira-Sunose (KAS) and differential Friedman methods. Empirical kinetic models, aswell as generalized master plots, were applied to explain the degradation mechanisms of terpolymer resins. The degradationreaction follows Avrami-Erofeev (nucleation and growth) at initial stage to Jander (three-dimensional diffusion)model for PVOMAF and Jander (two-dimensional diffusion) for PVOFCA governed mechanisms. Among all the testedterpolymers, both resins revealed better activity compared to standard drugs as Gentamycin, Amphicilin, Chloramphenicol,Ciprofloxacin and Noorfloxacin.
Narendra Pal Singh Chauhan 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.3
Novel polyfunctional acetyl and hydroxyl bearing functional terpolymer (HQFCA) derived from 8-hydroxyquinoline (HQ), 4-chloroacetophenone (CA) and formaldehyde (F) has been synthesized by complex condensation polymerization in the presence of an acid catalyst. The structure and morphology of terpolymer were elucidated by FTIR-ATR, one-dimensional NMR (1H NMR, 13C NMR and DEPT-135experiment), two-dimensional NMR (HSQC and TOCSY), pyrolysis GC–MS, gel permeation chromatography (GPC), nitrogen absorption, and optical microscopy (OM). Principal pyrolysis products generated from HQFCA units were 8-hydroxy-5,6-dimethylquinoline, 8-hydroxy-2-methylquinoline and 4-chloroacetophenone. This reactive terpolymer can be used as synthons for exchange membrane preparation and biomedical coating applications.
Narendra Singh,Kirandeep Singh,Davinder Kaur 한국물리학회 2018 Current Applied Physics Vol.18 No.2
The present study represents a systematic temperature dependent charge transport and dielectric properties of nanocrystalline silicon carbide nitride (nc-SiCN) thin films grown on Pt/Ti/SiO2/Si substrate. A large negative temperature coefficient of resistance (TCR) ranging from 6200 to 2300 ppmK-1 in the temperature range 300e773 K, suggests that the nc-SiCN thin films could be useful for futuristic thermal-based sensors. The current density vs. electric field (J-E) characteristics was measured at different temperatures (300e673 K). Detailed J-E analysis revealed an ohmic conduction at the low applied electric field (<65 kV/cm) within the entire temperature range. However, at high electric field (>65 kV/cm), space charge limited conduction (SCLC) mechanism was found to be dominating in low measurement temperature (300e473K), whereas, a transition from SCLC mechanism to Poole-Frenkel mechanism was observed with further increment in the temperature beyond 473 K. The temperature invariant dielectric tunability (nr ~10%) and low zero electric field leakage current density (J ~107A/cm2) at 673 K temperature, demonstrates the feasibility of nc-SiCN thin films for tunable device applications in the high-temperature and harsh environment.
Singh, Narendra K.,Nguyen, Quang Vinh,Kim, Bong Sup,Lee, Doo Sung The Royal Society of Chemistry 2015 Nanoscale Vol.7 No.7
<P>The clinical efficacy of a therapeutic protein, the human growth hormone (hGH), is limited by its short plasma half-life and premature degradation. To overcome this limitation, we proposed a new protein delivery system by the self-assembly and intercalation of a negatively charged hGH onto a positively charged 2D-layered double hydroxide nanoparticle (LDH). The LDH-hGH ionic complex, with an average particle size of approximately 100 nm, retards hGH diffusion. Nanobiohybrid hydrogels (PAEU/LDH-hGH) were prepared by dispersing the LDH-hGH complex into a cationic pH-and temperature-sensitive injectable PAEU copolymer hydrogel to enhance sustained hGH release by dual ionic interactions. Biodegradable copolymer hydrogels comprising poly(beta-amino ester urethane) and triblock poly(epsilon-caprolactone-lactide)-poly(ethylene glycol)-poly-(e-caprolactone-lactide) (PCLA-PEG-PCLA) were synthesized and characterized. hGH was self-assembled and intercalated onto layered LDH nanoparticles through an anion exchange technique. X-ray diffraction and zeta potential results showed that the LDH-hGH complex was prepared successfully and that the PAEU/LDH-hGH nanobiohybrid hydrogel had a disordered intercalated nanostructure. The biocompatibility of the nanobiohybrid hydrogel was confirmed by an in vitro cytotoxicity test. The in vivo degradation of pure PAEU and its nanobiohybrid hydrogels was investigated and it showed a controlled degradation of the PAEU/LDH nanobiohybrids compared with the pristine PAEU copolymer hydrogel. The LDH-hGH loaded injectable hydrogels suppressed the initial burst release of hGH and extended the release period for 13 days in vitro and 5 days in vivo. The developed nanohybrid hydrogel has the potential for application as a protein carrier to improve patient compliance.</P>
Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review
Khanna Narendra N,Singh Manasvi,Maindarkar Mahesh,Kumar Ashish,Johri Amer M.,Mentella Laura,Laird John R,Paraskevas Kosmas I.,Ruzsa Zoltan,Singh Narpinder,Kalra Mannudeep K.,Fernandes Jose Fernandes E 대한의학회 2023 Journal of Korean medical science Vol.38 No.46
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The relationship between external risk factors and our genetics have not been well established. It is widely acknowledged that environmental influence and individual behaviours play a significant role in CVD vulnerability, leading to the development of polygenic risk scores (PRS). We employed the PRISMA search method to locate pertinent research and literature to extensively review artificial intelligence (AI)-based PRS models for CVD risk prediction. Furthermore, we analyzed and compared conventional vs. AI-based solutions for PRS. We summarized the recent advances in our understanding of the use of AI-based PRS for risk prediction of CVD. Our study proposes three hypotheses: i) Multiple genetic variations and risk factors can be incorporated into AI-based PRS to improve the accuracy of CVD risk predicting. ii) AI-based PRS for CVD circumvents the drawbacks of conventional PRS calculators by incorporating a larger variety of genetic and non-genetic components, allowing for more precise and individualised risk estimations. iii) Using AI approaches, it is possible to significantly reduce the dimensionality of huge genomic datasets, resulting in more accurate and effective disease risk prediction models. Our study highlighted that the AI-PRS model outperformed traditional PRS calculators in predicting CVD risk. Furthermore, using AI-based methods to calculate PRS may increase the precision of risk predictions for CVD and have significant ramifications for individualized prevention and treatment plans.
Pramod K. Rajak,Vijay K. Singh,Asha L. Singh,Narendra Kumar,Om P. Kumar,Vishvajeet Singh,Aniruddha Kumar,Rai Ankita,Shweta Rai,Amiya S. Naik,Prakash K. Singh 한국지질과학협의회 2020 Geosciences Journal Vol.24 No.4
The present study is an attempt to know the temporal and spatial distribution of geochemical components in the lignite deposit of Kapurdi, Barmer Basin (Rajasthan). Lignite samples have been subjected to proximate, ultimate and elemental analyses, and determination of mineral carbon (MINC%). Besides, various minerals and functional groups have been analyzed through X-ray diffraction (XRD) and Fourier transforms infrared spectroscopy (FTIR). Selected environmentally sensitive and potential hazardous elements like Cu, Cd, Zn, Ni, Cr, Pb, Mn, Al, Fe and Co are determined using atomic absorption spectrophotometer (AAS). To know the association of minerals with organic matter, scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS) has also been carried out. The concentration of Co, Ni, Cd, Pb, Na, and K is high when compared with world average and is main concern for the environmental and health hazards. The elements like Fe, Ca, Mg, Zn, and Pb have shown increasing trend from top to bottom of the lignite seam with some fluctuations in the values in few bands whereas others do not follow a definite trend of variation along the seam profile.
GAUSSIAN VERTEX PRIME LABELING OF SOME GRAPHS
NARENDRA PURSHOTTAMBHAI SHRIMALI,SACHIN KUMAR SINGH 충청수학회 2021 충청수학회지 Vol.34 No.3
In the present work we introduce Gaussian vertex prime labeling and investigate Gaussian vertex prime labeling for gear graph, book graph, wheel graph, kayak paddle, one point union of gear graph and one point union of wheel graph.