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Integrative Zoology 2020年第6期15卷 448-460页

作者： Marco ZEDDA vijay SATHE Prateek CHAKRABORTY Maria Rita PALOMBO Vittorio FARINA Department of Veterinary Medicine University of SassariItaly Department of AIHC&Archaeology Deccan College Postgraduate and Research InstitutePuneIndia CNR-IGAG c/o Department of Earth SciencesSapienza UniversityRomaItaly

The microstructural features of the tissue of long bones subjected to different biomechanical stresses could be a helpful tool for a better understanding of locomotor behavior in extant and extinct mammals,including ***,few researches have attempted to describe the bone tissue of extinct *** our study,we analyze and compare the histomorphometric features of the bone tissue in extant modern horses,Equus caballus,and Equus namadicus,a Pleistocene Indian extinct wild *** number,position,and size of the osteons and Haversian canals of the bone tissue,classifiable as dense Haversian tissue,were considered for the *** results obtained highlight some differences between the analyzed species,*** having fewer and bigger osteons than *** microstructural differences may depend on the different lifestyles and environmental conditions characterizing the two *** results obtained suggest that comparing the biomechanical properties of extinct and modern horse species may provide indirect information on their paleoenvironment.

关键词： bone tissue Equus caballus Equus namadicus histomorphometry horse

Improved thermoelectric property of cation-substituted CaMnO_3

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Chinese Physics B 2015年第9期24卷 542-547页

作者： Pradeep Kumar Subhash C.Kashyap vijay Kumar Sharma H.C.Gupta Department of Physics Shyam Lal CollegeUniversity of Delhi Department of Physics Indian Institute of Technology Delhi

Single-phase pristine and cation-substituted calcium manganite（Ca1-xBixMn1-yVyO3-δ） polycrystalline samples were synthesized by the solid state reaction technique. Their thermoelectric properties were measured by a set up that was designed and assembled in the laboratory. The Ca1-x BixMn1-yVyO3-δsample with x = y = 0.04 has shown a power factor（S^2σ） of 176 μW/m/K^2 at 423 K, which is nearly two orders of magnitude higher than that of the pristine sample（2.1 μW/m/K2）. The power factor of the substituted oxide remains almost temperature independent as the Seebeck coefficient increases monotonically with temperature, along with the simultaneous decrease in electrical resistivity which is attributed to enhanced electron density due to co-doping of bismuth and vanadium and grain boundary scattering. These cation-substituted calcium manganites can be used as a potential candidate for an n-type leg in a thermoelectric generator（module）.

关键词： thermoelectric materials solid state reaction Seebeck coefficient power factor

Antimicrobial Materials: New Strategies to Tackle Various Pandemics

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Journal of Renewable Materials 2020年第12期8卷 1543-1563页

作者： Samarjeet Singh Siwal Qibo Zhang Adesh Kumar Saini vijay Kumar Thakur Key Laboratory of Ionic Liquids Metallurgy Faculty of Metallurgical and Energy EngineeringKunming University of Science and TechnologyKunming650093China Department of Chemistry M.M.Engineering CollegeMaharishi Markandeshwar(Deemed to be University)Mullana-Ambala133207India State Key Laboratory of Complex Nonferrous Metal Resources Cleaning Utilization in Yunnan Province Kunming650093China Department of Biotechnology Maharishi Markandeshwar(Deemed to be University)Mullana-Ambala133207India Biorefining and Advanced Materials Research Center Scotland’s Rural College(SRUC)Kings BuildingsEdinburghUK Department of Mechanical Engineering School of EngineeringShiv Nadar UniversityUttar Pradesh201314India

Coronaviruses are responsible for a developing budgetary,human and fatality trouble,as the causative factor of infections,for example,severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).It has been well recognized that SARS-CoV-2 may survive under severe atmosphere ***,efficient containment approaches,for example,sanitizing,are ***,living compounds contribute a substance of chemical heterogeneity,with antiviral movement,and therefore can have efficacy as therapeutic tools toward coronavirus ***,in this review article,we have described the antimicrobialbased materials,which can be used to inhibit the spreading of the *** have categorized these materials in three sections;(i)antimicrobial wall paint,(ii)antimicrobial papers and(iii)antimicrobial materials surface coating to be utilized as the antimicrobial-based materials for controlling the *** the last section,we have given the concluding remarks with prospects in this area.

关键词： Antimicrobial SARS-CoV-2 wall paint surface coating

Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells

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Energy and AI 2023年第2期12卷 178-186页

作者： vijay Mohan Nagulapati SShiva Kumar Vimalesh Annadurai Hankwon Lim School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea Carbon Neutrality Demonstration and Research Center Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea Department of Mechatronics Rajalakshmi Engineering CollegeChennaiTamilnaduIndia Graduate School of Carbon Neutrality Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea

In fuel cells, chemical energy is directly converted into heat and electricity without any emissions which makes them an attractive substitute for various energy needs. Fuel cells have high energy conversion ratio and highpower densities which make them suitable for automotive applications. However, these fuel cell systems suffer with low reliability and durability as system components develop faults during operation resulting in degradation and diminished system performance. In this context, fault detection and fault mitigation strategies are being extensively developed. Diagnostic approaches like electrochemical impedance spectroscopy, cyclic voltammetry, and galvanostatic analysis offer a truthful representation of the State of Health (SOH) of the fuel cell. However, these approaches are intrusive and require pausing the operation of the fuel cell effecting its integrity. Machine learning based fault detection and SOH estimation is a non-intrusive approach where a mapping function is established between the indicators and SOH. The SOH of a fuel cell can be correlated to the patterns in sensor signals or indicators. Indicators that influence SOH are cell voltages, current density distribution, impedance spectra, acoustic emission and magnetic fields. Developing an accurate fault detection and state estimation technique through data driven machine learning approaches will allow corrective measures to avoid irreversible faults and improve the reliability and durability of fuel cells.

关键词： PEM fuel cell Data driven prognostics Fault detection Dynamic load test Gaussian process regression Support vector machine Artificial neural networks

A novel reconfiguration of the solar array to enhance peak power and efficiency under partial shading conditions:experimental validation

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Clean Energy 2023年第4期7卷 824-842页

作者： vijay Laxmi Mishra Yogesh K.Chauhan K.S.Verma EED KNIT SultanpurU.P.Pin-228118India

Non-homogeneous irradiation patterns and temperature levels immensely affect the performance of solar photovoltaic *** shading conditions on solar arrays reduce the peak power and *** paper provides a new remedy called a novel Ramanujan reconfiguration(NRR)to eliminate this physical shading problem in solar photovoltaic *** is a static-based reconfigured technique that is built using a three-diode model with the help of the MATLAB®/Simulink®*** special feature of the proposed NRR technique is that when shade occurs on the solar modules,it gets realigned in a particular row,column,diagonal,corner,centre and middle peripheral *** helps over a wide range of shade dispersion on the solar *** novel topology is tested against the conventional total cross-tied(TCT)model and recently introduced advanced reconfigured models,namely odd–even topology(OET)and Kendoku topology(KDT).The results are tested under certain shading *** proposed NRR technique increases the peak power by 4.45,2.15 and 2.17 W under the first shading condition regarding TCT,OET and *** efficiency is improved by 0.51–2.18%under the third shading condition compared with other considered models in this *** addition,NRR leads to smooth output curves under the second,third and fourth shading conditions,effectively mitigating the local power *** experimental results show the proposed enhanced performance of the novel model against the other *** Abstract Remedy for physical problem correlated with solar photovoltaics Comparison with traditional and recent solar models Conclusion:NRR has effectively handled the problem related with solar *** has improved the efficiency up to 31.44%under ***,smooth output curves under S2-S4 shows its effectiveness in mitigating the local power *** power gain at 3.94%under S4 is achieved by novel ***-time verification proves the supremacy of novel proposed model over o

关键词： efficiency partial shading conditions peak power Ramanujan reconfiguration solar array total cross-tied three-diode model

A Review on Pharmacological and Analytical Aspects of Diosmetin:A Concise Report

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Chinese Journal of Integrative Medicine 2013年第10期19卷 792-800页

作者： Kanika Patel Manoj Gadewar vijay Tahilyani Dinesh Kumar Patel GLA Institute of Pharmaceutical Research Mathura(281406)India SKIPS Warangal-Andhra Pradesh(506015)India Sonekar College of Pharmacy KoradiNagpur(440001)India Department of Pharmaceutics Institute of TechnologyBanaras Hindu UniversityVaranasi(221005)India

Plants have been used as a source for food material and natural remedies for the treatment of vast range of diseases. Nature provides us remedies for the treatment of various types of disorders ranging from simpte aitments to complicated diseases. Plants are known to possess different pharmacological activities due to the presence of various phytoconstituents, Flavonoids are one of the main active phytoconstituents found in fruits, vegetables, wines, tea and cocoa. Flavonoids exhibit various pharmacological activities such as antioxidant, anti-inflammatory, anti-allergic, antibacterial, oestrogenic, cytotoxic antitumoural, hepatoprotective, antithrombotic and antiviral activity. Diosmetin （3＇, 5, 7-trihydroxy-4＇-methoxyflavone）, the aglycone part of the flavonoid glycosides diosmin occurs naturally in citrus fruit. Although it is found in herbal medicines and plays an important role in the treatment of various ailments, only limited scientific researches have been conducted. The aim of this review is to collect all available scientific literature published on diosmetin and combine it into this paper. This review contains an overview of pharmacological activities, isolation techniques and analytical techniques for diosmetin. Thus, valuable information provided in the present review will help researchers in developing alternative methods for the treatment of diseases from diosmetin.

关键词： analytical techniques diosmetin flavonoid pharmacological activity phytoconstituents

Artificial neural network (ANNs) and mathematical modelling of hydration of green chickpea

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Information Processing in Agriculture 2021年第1期8卷 75-86页

作者： Yogesh Kumar Lochan Singh vijay Singh Sharanagat Ayon Tarafdar Department of Food Engineering National Institute of Food Technology Entrepreneurship and ManagementHaryanaIndia Department of Agriculture and Environmental Sciences National Institute of Food Technology Entrepreneurship and ManagementHaryanaIndia

The present study was aimed to model the hydration characteristics of green chickpea(GC)using mathematical modelling and examine predictive ability of artificial neural network(ANN)*** of GC was performed at different temperatures 25,35,45,55 and 65℃.Different mathematical models were tested for the hydration at different *** ANN modelling,the hydration time and hydration temperature were used as input variables and moisture ratio,moisture content and hydration ratio were taken as output *** model best described the hydration behavior at 25℃;while hydration at high-temperature was better described by Page model and Ibarz et *** optimum temperature obtained for hydration was 35℃.Effective mass diffusion coefficient(D_(e))increased from 1.5510^(-11)-1.7910^(-9) m^(2)/s with the increase in the hydration *** low activation energy(39.66 kJ/moL)shows the low-temperature sensitiveness of *** temperature hydration(25℃)required higher time(>200 min)to achieve the equilibrium moisture content(EMC),however high temperature hydration(35–65℃)reduced the EMC time(150 min).ANN was used to predict the hydration behavior and K fold cross validation was performed to check the over fitting of ANN *** show that the LOGSIGMOID transfer function showed better performance when used at the hidden layer input node in conjunction to both PURELIN and *** was found suitable for moisture ratio(MR)and hydration ratio(HR)prediction,as opposed to PURELIN for moisture content(MC)*** model prediction was obtained when the number of neurons in the hidden layer for MC,MR and HR was 12,8 and 15,*** and ANN modelling results are useful to improve/predict the MC,MR and HR during hydration process of GC at different temperature and other similar process.

关键词： Green chickpea Water absorption Hydration temperature ANN modeling

Topological feature engineering for machine learning based halide perovskite materials design

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npj Computational Materials 2022年第1期8卷 1943-1950页

作者： D.vijay Anand Qiang Xu JunJie Wee Kelin Xia Tze Chien Sum Division of Mathematical Sciences School of Physical and Mathematical SciencesNanyang Technological UniversitySingapore637371Singapore Division of Physics&Applied Physics School of Physical and Mathematical SciencesNanyang Technological UniversitySingapore637371Singapore

Accelerated materials development with machine learning(ML)assisted screening and high throughput experimentation for new photovoltaic materials holds the key to addressing our grand energy ***-driven ML is envisaged as a decisive enabler for new perovskite materials ***,its full potential can be severely curtailed by poorly represented molecular descriptors(or fingerprints).Optimal descriptors are essential for establishing effective mathematical representations of quantitative structure-property *** we reveal that our persistent functions(PFs)based learning models offer significant accuracy advantages over traditional descriptor based models in organic-inorganic halide perovskite(OIHP)materials design and have similar performance as deep learning *** multiscale simplicial complex approach not only provides a more precise representation for OIHP structures and underlying interactions,but also has better transferability to ML *** results demonstrate that advanced geometrical and topological invariants are highly efficient feature engineering approaches that can markedly improve the performance of learning models for molecular data ***,new structure-property relationships can be established between our invariants and *** anticipate that our molecular representations and featurization models will transcend the limitations of conventional approaches and lead to breakthroughs in perovskite materials design and discovery.

关键词： perovskite halide invariants

One Pot Reduction of Imines Generated in-situ from Aldehydes and Amines by the NaBH4-InCl3 System

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Chinese Journal of Chemistry 2006年第6期24卷 807-810页

作者： RAVI, Varala RAMU, Enugala vijay KUMAR, Ponnamaneni SRINIVAS RAO, Adapa Indian Institute of Chemical Technology Hyderabad-500 007 India

A combination of sodium borohydride and a catalytic amount of indium（Ⅲ） chloride in acetonitrile reduces imines formed in-situ from aldehydes and amines to the corresponding functionalised secondary and tertiary amines in moderate to good yields. Noteworthy is that highly chemoselective reactions were achieved in the presence of other functional groups such as halogens, carbon-carbon double bonds and hydroxyl groups.

关键词： NaBH4-InCl3 aldehyde amine One Pot Reduction

Recent advances in molecular diagnostics of hepatitis Bvirus

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World Journal of Gastroenterology 2014年第40期20卷 14615-14625页

作者： Sibnarayan Datta Soumya Chatterjee vijay Veer Molecular Virology Laboratory Molecular Virology Laboratory Defence Research Laboratory Assam PIN IndiaBiodegradation Technology Laboratory Defence Research Laboratory Assam PIN 784001 India 784001

Hepatitis B virus(HBV)is one of the important global health problems *** with HBV can lead to a variety of clinical manifestations including severe hepatic complications like liver cirrhosis and hepatocellular ***,routine HBV screening and diagnosis is primarily based on the immuno-detection of HBV surface antigen(HBsAg).However,identification of HBV DNA positive cases,who do not have detectable HBsAg has greatly encouraged the use of nucleic acid amplification based assays,that are highly sensitive,specific and are to some extent tolerant to sequence *** the last few years,the field of HBV molecular diagnostics has evolved rapidly with advancements in the molecular biology tools,such as polymerase chain reaction(PCR)and real-time ***,apart of PCR based amplification methods,a number of isothermal amplification assays,such as loop mediated isothermal amplification,transcription mediated amplification,ligase chain reaction,and rolling circle amplification have been utilized for HBV *** assays also offer options for real time detection and integration into biosensing *** this manuscript,we review the molecular technologies that are presently available for HBV diagnostics,with special emphasis on isothermal amplification based *** have also included the recent trends in the development of biosensors and use of next generation sequencing technologies for HBV.

关键词： Hepatitis B virus Polymerase chain reaction Isothermal amplification Real time polymerase chain reaction Biosensors Next generation sequencing