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A comprehensive review of the influence of physicochemical properties of biodiesel on combustion characteristics,engine performance and emissions

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Journal of Traffic and Transportation Engineering(English Edition) 2021年第4期8卷 510-533页

作者： Tikendra Nath verma Pankaj Shrivastava Upendra Rajak Gaurav Dwivedi Siddharth Jain Ali Zare Anoop Kumar Shukla Puneet verma Department of Mechanical Engineering Maulana Azad National Institute of Technology(MANIT)Bhopal 462007India Department of Mechanical Engineering Prestige Institute of Engineering Management and ResearchIndore 452010India Department of Mechanical Engineering Rajeev Gandhi Memorial College of Engineering and TechnologyNandyal 518501India Energy Centre Maulana Azad National Institute of Technology(MANIT)Bhopal 462007India Department of Mechanical Engineering College of Engineering Roorkee(COER)Roorkee 247667India Flow Aerosols and Thermal Energy(FATE)Research GroupSchool of EngineeringDeakin UniversityBurwoodVIC 3216Australia Department of Mechanical Engineering Amity UniversityNoida 201313India School of Chemistry Physics and Mechanical EngineeringQueensland University of TechnologyBrisbaneQLD 4001Australia

Energy is a basic requirement for development in the *** continuously rising demand for energy resources and the fast depletion of fossil fuel is raises researcher's concern to focus on alternative sources of energy that can replace the shortage of fossil fuels *** is recognized as one of the potential alternative renewable energy fuels that can be easily available in a wide range in every part of the *** paper reviews biodiesel's prospect and focuses on the different fuel properties(physicochemical)of 100 biodiesels from first-,second-and third-generation followed by the evaluation of CI engine *** has been observed that the fuel properties of first-,second-and third-generation biodiesel are compatible with the ASTM *** present paper discussed the potential of various generations of biodiesel feedstocks from production *** paper also examined many aspects of these feedstocks which include different biodiesel feedstock sources,biodiesel conversion technology,and second-generation biodiesel performance and emission *** of the studies showed that biodiesel derived from plant feedstock is costly than ***,more influence is to be given to non-edible ***,the engine characteristics are shown promising behavior with biodiesel and a slight increase in NOX is also reported on using various biodiesel.

关键词： Biodiesel Physicochemical Combustion Ignition Emission

Gender differences in the relationship between alcohol consumption and gastric cancer risk are uncertain and not well-delineated

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World Journal of Gastrointestinal Oncology 2021年第12期13卷 2216-2218页

作者： Henu Kumar verma LVKS Bhaskar Department of Immunopathology Institute of lungs Biology and DiseaseComprehensive Pneumology CenterHelmholtz ZentrumNeuherberg 85764MunichGermany Department of Zoology Guru Ghasidas VishwavidyalayaBilaspur 495001ChhattisgarhIndia

The role of alcoholic and other beverage consumption in the etiology of gastric cancer is *** studies have summarized and established a significant association between heavy alcohol consumption and gastric cancer risk... 详细信息

关键词： Alcohol Gastric cancer Meta-analysis Gender and alcohol intake Alcohol consumption

Analysis on Krasnoselskii’s fixed point theorem of fuzzy variable fractional differential equation for a novel coronavirus(COVID-19)model with singular operator

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第3期12卷 150-166页

作者： Pratibha verma Manoj Kumar Anand Shukla Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Prayagraj 211004 Uttar PradeshIndia Department of Mathematics Wollega UniversityEthiopia

The fuzzy variable fractional differential equations(FVFDEs)play a very important role in mathematical modeling of *** scientists are studying and developing several aspects of these COVID-19 *** existence and uniqueness of the solution,stability analysis are the most common and important study *** is no study in the literature to establish the existence,uniqueness,and UH stability for fuzzy variable fractional(FVF)order COVID-19 *** to high demand of this study,we investigate results for the existence,uniqueness,and UH stability for the considered COVID-19 model based on FVFDEs using a fixed point theory approach with the singular ***,discuss the maximal/minimal solution for the FVFDE of the COVID-19 model.

关键词： Novel coronavirus(COVID-19) variable Caputo fractional derivative fixed point theorem existence and uniqueness Ulam-Hyers stability

Big data analytics for retail industry using MapReduce-Apriori framework

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Journal of Management Analytics 2020年第3期7卷 424-442页

作者： Neha verma Dheeraj Malhotra tinder Singh Vivekananda Institute of Professional Studies GGSIPUDelhiIndia Sant Baba Bhaag Singh niversity JalandharIndia

Presently,retailing has changed its face from unordered stacked traditional stores to beautifully decorated and appropriately managed merchandise stores or shopping malls with excellent ambiance and ***,these stores try to accommodate all needed items for daily use or rarely required items under the same ***,the primary challenge for today’s retailer is that the modern customer is quality and brands conscious as well as compare for services provided to them by different outlets at the comfort of home with a single ***,customers prefer to purchase from E-Commerce websites instead of physically visiting a retail store,which leads to the downfall in the sales of retailers which become a serious threat to ***,retailers are required to work sincerely towards their customer expectations by providing all their needed goods under the same ***,the objective of this paper is to assist retail business owners to recognize the purchasing needs of their customers and hence to entice customers to physical retail stores away from competitor E-Commerce *** paper employs a systematic research methodology based on association rule mining deployed over Map-Reduce based Apriori association mining and Hadoop based intelligent cloud architecture to determine useful buying patterns from purchase history of previous customers,in order to assist retail business *** finding acknowledges that the traditional mining algorithms have not progressed to support big data analysis as required by current retail businesses *** job of finding unknown association rules from big data requires a lot of resources such as memory and processing ***,traditional mining systems are inadequate to provide support for partial failure support,extensibility,scalability ***,this study aims to implement and develop MapReduce based Apriori(MR-Apriori)algorithm in the form of Intelligent Retail Mining Tool *** Tool

关键词： Big data retail analytics MR-Apriori algorithm map-reduce market basket analysis association mining IRM tool

Detecting circulating tumor material and digital pathology imaging during pancreatic cancer progression

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World Journal of Gastrointestinal Oncology 2017年第6期9卷 235-250页

作者： Radim Moravec Rao Divi Mukesh verma Surveillance Research Program Division of Cancer Control and Population SciencesNational Cancer InstituteNational Institutes of Health Methods and Technologies Branch Division of Cancer Control and Population SciencesNational Cancer InstituteNational Institutes of Health

Pancreatic cancer(PC) is a leading cause of cancerrelated death worldwide. Clinical symptoms typically present late when treatment options are limited and survival expectancy is very short. Metastatic mutations are heterogeneous and can accumulate up to twenty years before PC diagnosis. Given such genetic diversity, detecting and managing the complex states of disease progression may be limited to imaging modalities and markers present in circulation. Recent developments in digital pathology imaging show potential for early PC detection, making a differential diagnosis, and predicting treatment sensitivity leading to long-term survival in advanced stage patients. Despite large research efforts, the only serum marker currently approved for clinical use is CA 19-9. Utility of CA 19-9 has been shown to improve when it is used in combination with PC-specific markers. Efforts are being made to develop early-screening assays that can detect tumor-derived material, present in circulation, before metastasis takes a significant course. Detection of markers that identify circulating tumor cells and tumor-derived extracellular vesicles(EVs) in biofluid samples offers a promising non-invasive method for this purpose. Circulating tumor cells exhibit varying expression of epithelial and mesenchymal markers depending on the state of tumor differentiation. This offers a possibility for monitoring disease progression using minimally invasive procedures. EVs also offer the benefit of detecting molecular cargo of tumor origin and add the potential to detect circulating vesicle markers from tumors that lack invasive properties. This review integrates recent genetic insights of PC progression with developments in digitalpathology and early detection of tumor-derived circulating material.

关键词： Circulating tumor cells Digital pathology Early detection Exosomes Pancreatic cancer

Optimizing data aggregation and clustering in Internet of things networks using principal component analysis and Q-learning

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Data Science and Management

Data Science and Management 2024年第3期7卷 189-196页

作者： Abhishek Bajpai Harshita verma Anita Yadav Department of Computer Science Rajkiya Engineering CollegeKannauj209732India Department of Computer Science and Engineering School of EngineeringHarcourt Butler Technical UniversityKanpur208001India

The Internet of things(IoT)is a wireless network designed to perform specific tasks and plays a crucial role in various fields such as environmental monitoring,surveillance,and *** address the limitations imposed by inadequate resources,energy,and network scalability,this type of network relies heavily on data aggregation and clustering *** various conventional studies have aimed to enhance the lifespan of a network through robust systems,they do not always provide optimal efficiency for real-time *** paper presents an approach based on state-of-the-art machine-learning *** this study,we employed a novel approach that combines an extended version of principal component analysis(PCA)and a reinforcement learning algorithm to achieve efficient clustering and data *** primary objectives of this study are to enhance the service life of a network,reduce energy usage,and improve data aggregation *** evaluated the proposed methodology using data collected from sensors deployed in agricultural fields for crop *** proposed approach(PQL)was compared to previous studies that utilized adaptive Q-learning(AQL)and regional energy-aware clustering(REAC).Our study outperformed in terms of both network longevity and energy consumption and established a fault-tolerant network.

关键词： Wireless sensor network Principal component analysis(PCA) Reinforcement learning Data aggregation

Full potential study of HoMg

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Journal of Magnesium and Alloys 2018年第2期6卷 189-196页

作者： Meena Kumari U.P.verma School of Studies in Physics Jiwaji UniversityGwalior 474011India

In this paper,HoMg is studied in two different phases i.e.B1 and *** calculated lattice constants in B1 and B2 phases are 6.39°A and 3.78°A and corresponding energies are−25,648.49 Ry and−25,648.56 Ry,*** is more stable in B2 phase(Pm-3m configuration with no.221).The analysis of the obtained band structure and density of states shows metallic character of *** information about the elastic properties is also presented in this *** calculated values of Cauchy pressure,G/B and Poisson ratio are−10.72,0.58 and 0.26,respectively which indicates that HoMg have brittle *** for the optical spectra such as the components of dielectric function,refractive index and other parameters of the optical properties are performed in the energy range of 0-20 *** HoMg,the main peak of absorption spectra and energy loss function is located at 7.44 eV and 11.76 eV,*** parameters such as Gruneisen parameter,Debye temperature,Specific heat *** been reported as a function of pressure and temperature.©2018 Published by Elsevier *** behalf of Chongqing University.

关键词： Rare-earth magnesium alloy DFT Elastic properties Optical and thermal properties

Ulam-Hyers stability and analytical approach for m-dimensional Caputo space-time variable fractional order advection-dispersion equation

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International Journal of Modeling, Simulation, and Scientific Computing 2022年第1期13卷 131-174页

作者： Pratibha verma Manoj Kumar Anand Shukla Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Prayagraj–211004 Uttar PradeshIndia†Department of Mathematics Wollega UniversityNekemteEthiopia

This article introduces the computational analytical approach to solve the m-dimensional space-time variable Caputo fractional order advection–dispersion equation with the Dirichlet boundary using the two-step Adomian decomposition method and obtain the exact solution in just one ***,with the help of fixed point theory,we study the existence and uniqueness conditions for the positive solution and prove some new ***,obtain the Ulam–Hyers stabilities for the proposed *** gen-eralized examples are considered to show the method’s applicability and compared with other existing numerical *** present method performs exceptionally well in terms of efficiency and ***,we solved both examples using the two most well-known numerical methods and compared them with the TSADM solution.

关键词： Fixed point theorems space-time variable Caputo’s fractional operators advection-dispersion equation Ulam-Hyers stability two-step Adomian decomposition method

Ab-initio studies of the structural,electronic,optical and magnetic properties of DyMg intermetallic compound

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Journal of Magnesium and Alloys 2017年第4期5卷 454-459页

作者： Meena Kumari U.P.verma School of Studies in Physics Jiwaji UniversityGwalior 474001India

Structural,electronic,optical and magnetic properties of DyMg intermetallic compound are calculated by using the full potential linearized augmented plane wave(FP-LAPW)method employing density functional theory(DFT).The obtained optimized equilibrium lattice constant in stable structure of DyMg(B2 phase)with spin polarized calculations is 7.107 Bohr and that without spin polarized calculations is 7.115 *** electronic band structure and density of states plots show metallic character of *** energy-dependent components of dielectric function,refractive index,extinction coefficient,absorption spectra,optical conductivity,energy loss spectra and reflectivity are reported in the energy range 0–20 *** DyMg maximum absorption is observed in the range 4–11 *** highest optical conductivity peak is observed near 0.78 eV(1589.5409 nm)and maximum energy loss occurs at 11.90 eV which corresponds to~2.8 Hz in ultraviolet *** obtained total magnetic moment shows that its value decreases with the increase in lattice parameter.

关键词： Magnesium alloy Rare-earth elements Density functional theory Band structure Optical properties Magnetic properties