检索结果-南通市图书馆

Data-Driven Healthcare:The Role of Computational Methods in Medical Innovation

Computer Modeling in Engineering & Sciences 2025年第1期142卷 1-48页

作者： Hariharasakthisudhan Ponnarengan Sivakumar Rajendran vikas Khalkar Gunapriya Devarajan Logesh Kamaraj Department of Mechanical Engineering Dr.Mahalingam College of Engineering and TechnologyPollachiCoimbatoreTamil Nadu642003India Department of Mechanical Engineering JKKN College of Engineering and TechnologyKumarapalayamNamakkalTamil Nadu637209India Department of Mechanical Engineering Gharda Institute of TechnologyLavelMaharashtra415708India Department of Electrical and Electronics Engineering Sri Eshwar College of EngineeringCoimbatoreTamilnadu641202India Department of Mechanical Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India

The purpose of this review is to explore the intersection of computational engineering and biomedical science,highlighting the transformative potential this convergence holds for innovation in healthcare and medical *** review covers key topics such as computational modelling,bioinformatics,machine learning in medical diagnostics,and the integration of wearable technology for real-time health *** findings indicate that computational models have significantly enhanced the understanding of complex biological systems,while machine learning algorithms have improved the accuracy of disease prediction and *** synergy between bioinformatics and computational techniques has led to breakthroughs in personalized medicine,enabling more precise treatment ***,the integration of wearable devices with advanced computational methods has opened new avenues for continuous health monitoring and early disease *** review emphasizes the need for interdisciplinary collaboration to further advance this *** research should focus on developing more robust and scalable computational models,enhancing data integration techniques,and addressing ethical considerations related to data privacy and *** fostering innovation at the intersection of these disciplines,the potential to revolutionize healthcare delivery and outcomes becomes increasingly attainable.

关键词： Computational models biomedical engineering bioinformatics machine learning wearable technology

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Structural-Nanomechanical Property Correlation of Shallow Water Shrimp （Pandalus platyceros） Exoskeleton at Elevated Temperature

引用

Journal of Bionic Engineering 2014年第3期11卷 360-370页

作者： Devendra Verma vikas Tomar School of Aeronautics and Astronautics Purdue University West Lafayette IN 47907 USA

This investigation reports the nanomechanical properties of shallow water shrimp exoskeleton at temperatures ranging from 30 ℃ to 80 ℃ measured using nanoindentation experiments. Scanning Electron Microscopy （SEM） measurements suggest that the shrimp exoskeleton has the Bouligand structure in its layers, a key characteristic of the crustaceans. The thickness of the layers and packing density are found to be different from that of lobsters and crabs reported earlier in the literature. Mechanical properties at high temperatures are determined using micro materials nanoindentation test set up combined with the hot stage. The properties measured during nanoindentation test are corrected for the creep and thermal drift during the experiments. The reduced modulus values are found to be around 28 GPa at 30 ℃ that reduces to approximately 24 GPa at 80 ℃. The hardness values also decrease from 1.6 GPa at 30 ℃ to around 1.2 GPa at 80 ℃. The indentation size effect is found to be absent at all temperatures. Creep mechanisms of polymers like materials and its temperature dependence are discussed to give more insight into the deformation mechanism.

关键词： fresh water shrimp nanomechanics temperature dependence creep mechanism

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Emulsification of Indian heavy crude oil using a novel surfactant for pipeline transportation

引用

Petroleum Science 2017年第2期14卷 372-382页

作者： Shailesh Kumar vikas Mahto Department of Petroleum Engineering Indian Institute of Technology (Indian School of Mines) Dhanbad Jharkhand India

The most economical way to overcome flow assurance problems associated with transportation of heavy crude oil through offshore pipelines is by emulsifying it with water in the presence of a suitable *** this research,a novel surfactant,tri-triethanolamine monosunflower ester,was synthesized in the laboratory by extracting fatty acids present in sunflower（Helianthus annuus）*** surfactant was used to prepare oil-in-water emulsions of a heavy crude oil from the western oil field of *** emulsification,a dramatic decrease in pour point as well as viscosity was *** the prepared emulsions were found to be flowing even at 1°*** emulsion developed with 60%oil content and 2wt%surfactant showed a decrease in viscosity of 96%.The stability of the emulsion was investigated at different temperatures,and it was found to be highly *** effectiveness of surfactant in emulsifying the heavy oil in water was investigated by measuring the equilibrium interfacial tension（IFT）between the crude oil（diluted）and the aqueous phase along with zeta potential of emulsions.2wt%surfactant decreased IFT by almost nine times that of no *** results suggested that the synthesized surfactant may be used to prepare a stable oil-in-water emulsion for its transportation through offshore pipelines efficiently.

关键词： Heavy crude oil Oil-in-water emulsion Pipeline transportation Sunflower oil Rheology Stability

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Microstructural analysis and hot corrosion behavior of HVOF-sprayed Ni–22Cr–10Al–1Y and Ni–22Cr–10Al–1Y–SiC(N) coatings on ASTM-SA213-T22 steel

引用

International Journal of Minerals,Metallurgy and Materials 2020年第3期27卷 401-416页

作者： Gurmail Singh Niraj Bala vikas Chawla Department of Mechanical Engineering IKGPTUJalandhar 144603PunjabIndia Department of Aerospace Engineering Chandigarh UniversityGharuan 140413PunjabIndia Department of Mechanical Engineering BBSBECFatehgarh Sahib 140407PunjabIndia

The present paper deals with the investigation of microstructure and high-temperature hot corrosion behavior of high-velocity oxy fuel(HVOF)-produced coatings. Two powder coating compositions, namely, Ni22Cr10Al1Y alloy powder and Ni22Cr10Al1Y(80 wt%;microsized)–silicon carbide(SiC)(20 wt%;nano(N)) powder, were deposited on a T-22 boiler tube steel. The hot corrosion behavior of bare and coated steels was tested at 900°C for 50 cycles in Na2SO4–60 wt%V2O5 molten-salt environment. The kinetics of corrosion was established with weight change measurements after each cycle. The microporosity and microhardness of the as-coated samples have been reported. The X-ray diffraction,field emission-scanning electron microscopy/energy dispersive spectroscopy, and X-ray mapping characterization techniques have been utilized for structural analysis of the as-coated and hot-corroded samples. The results showed that both coatings were deposited with a porosity less than2%. Both coated samples revealed the development of harder surfaces than the substrate. During hot corrosion testing, the bare T22 steel showed an accelerated corrosion in comparison with its coated counterparts. The HVOF-sprayed coatings were befitted effectively by maintaining their adherence during testing. The Ni22Cr10Al1Y–20 wt%SiC(N) composite coating was more effective than the Ni–22Cr–10Al–1Y coating against corrosion in the high-temperature fluxing process.

关键词： high-velocity oxy fuel thermal spray hot corrosion oxide scale nano-structured coating

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Synthesis,characterization and evaluation of polyacrylamide graft starch/clay nanocomposite hydrogel system for enhanced oil recovery

引用

Petroleum Science 2017年第4期14卷 765-779页

作者： Rituraj Singh vikas Mahto Department of Petroleum Engineering Indian Institute ofTechnology(Indian School of Mines)Dhanbad 826004India

In this paper the suitability of a graft polymer nanocomposite hydrogel system for enhanced oil recovery was examined using polyacrylamide graft starch/clay nanocomposite(a laboratory synthesized product) and chromium(III) acetate(crosslinker). X-ray diffraction analysis,Fourier transform infrared spectrometry analysis, field-emission scanning electron microscopy and transmission electron microscopy were carried out to reveal the laboratory synthesized product as a nanocomposite. The effects of various parameters like salt concentration, p H, temperature, polymer concentration and crosslinker concentration on the properties of the developed gel system were systematically *** thermal stability of the nanocomposite gel and the conventional gel system were also determined by thermogravimetric analysis. The graft polymer nanocomposite gel system exhibited acceptable gel strength, gelation time and gel stability compared with the conventional gel system. The nanocomposite gels prepared using a low crosslinker concentration showed higher gel strength and required longer gelation time than the conventional gel which is more desirable properties for the effective placement of gel during enhanced oil recovery operations. In addition, sand pack flooding experiments show that the graft polymer nanocomposite gels had better plugging capacity than the conventional gel systems under reservoir conditions. Hence, this gel system may be suitable in the water shutoff treatments required for enhanced oil recovery from oilfields.

关键词： Nanocomposite Graft polymer Nanoclay Hydrogel Water shutoff

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Modified(G'/G)-expansion method for finding traveling wave solutions of the coupled Benjamin-Bona-Mahony-KdV equation

引用

Journal of Ocean Engineering and Science 2019年第3期4卷 252-255页

作者： vikas Kumar Department of Mathematics D.A.V.College PundriKaithal 136026HaryanaIndia

Using the Lie symmetry approach,the author has examined traveling wave solutions of coupled Benjamin-Bona-Mahony-KdV *** coupled Benjamin-Bona-Mahony-KdV equation is reduced to nonlinear ordinary differential equations for all optimal subalgebras by using Lie classical symmetries and various solutions are obtained by the modified(G'/G)-expansion ***,with the aid of solutions of the nonlinear ordinary differential equations,more explicit traveling wave solutions of the coupled Benjamin-Bona-Mahony-KdV equation are found *** traveling wave solutions are expressed by rational function.

关键词： Coupled Benjamin-Bona-Mahony-KdV equation Lie symmetric analysis Exact solutions Modified(G'/G)-Expansion method

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Quantile-Based Shannon Entropy for Record Statistics

引用

Communications in Mathematics and Statistics 2023年第2期11卷 283-306页

作者： vikas Kumar Bhawna Dangi Department of Applied Sciences University Institute of Engineering and TechnologyM.D.UniversityRohtak 124001India

The quantile-based entropy measures possess some unique properties than their distribution function *** present communication deals with the study of the quantile-based Shannon entropy for record *** this regard a generalized model is considered for which cumulative distribution function or probability density function does not exist and various examples are provided for illustration *** we consider the dynamic versions of the proposed entropy measure for record statistics and also give a characterization result for *** the end,we study F^(α)-family of distributions for the proposed entropy measure.

关键词： Shannon entropy Record value Quantile function Quantile entropy F^(α)-family

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

HIGHER-ORDER NON-SYMMETRIC DUALITY FOR NONDIFFERENTIABLE MINIMAX FRACTIONAL PROGRAMS WITH SQUARE ROOT TERMS

引用

Acta Mathematica Scientia 2020年第1期40卷 127-140页

作者： SONALI vikas SHARMA Navdeep KAILEY School of Mathematics Thapar Institute of Engineering and TechnologyPatialaIndia

In this paper,we emphasize on a nondifferentiable minimax fractional programming(NMFP)problem and obtain appropriate duality results for higher-order dual model under higher-order B-(p,r)-invex *** provide a nontrivial illustration of a function which belongs to the class of higher-order B-(p,r)-invex but not in the class of second-order B-(p,r)-invex functions already existing in *** example of finding a minimax solution of NMFP problem by using higher-order B-(p,r)-invex functions has also been *** known results are discussed as particular cases.

关键词： nonlinear programming higher-order duality fractional programming minimax programming B-(p,r)-invexity

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Learning physically based material and lighting decompositions for face editing

引用

Computational Visual Media 2024年第2期10卷 295-308页

作者： Qian Zhang vikas Thamizharasan James Tompkin Brown University ProvidenceRhode Island 02906USA

Lighting is crucial for portrait photography,yet the complex interactions between the skin and incident light are expensive to model computationally in graphics and difficult to reconstruct analytically via computer ***,to allow fast and controllable reflectance and lighting editing,we developed a physically based decomposition through deep learned priors from path-traced portrait *** approaches that used simplified material models or low-frequency or low-dynamic-range lighting struggled to model specular reflections or relight directly without intermediate ***,we estimate the surface normal,skin albedo and roughness,and high-frequency HDRI maps,and propose an architecture to estimate both diffuse and specular reflectance *** our experiments,we show that this approach can represent the true appearance function more effectively than simpler baseline methods,leading to better generalization and higher-quality editing.

关键词： intrinsic decomposition portrait relighting inverse rendering deep learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Machine learning classification approach for formation delineation at the basin-scale

引用

Petroleum Research 2022年第2期7卷 165-176页

作者： Derek Vikara vikas Khanna Department of Civil and Environmental Engineering University of PittsburghPittsburghPA15261United States KeyLogic Systems LLCMorgantownWV26505United States Department of Chemical and Petroleum Engineering University of PittsburghPittsburghPA15261United States

Machine learning and artificial intelligence approaches have rapidly gained popularity for use in many subsurface energy *** are seen as novel methods that may enhance existing capabilities,providing for improved efficiency in exploration and production ***,their inte-gration into reservoir management workflows may shape the future landscape of the energy *** study implements a framework that generates predictive models using multiple machine learning classification-based algorithms which can identify specific stratigraphic units(i.e.,formations)as a function of total vertical depth and spatial *** framework is applied in a case study to 13 specific formations of interest(Upper Spraberry through Atoka/Morrow reservoirs)in the Midland Basin,West Texas,United States;a prominent hydrocarbon producing sub-basin of the larger Permian *** study dataset consists of over 275,000 records and includes data fields like formation iden-tifier,true vertical depth(in feet)of formations observed,and latitude and longitude coordinates(in decimal degrees).A subset of 134,374 data records were relevant to the 13 distinct formations of interest and were extracted and used for machine learning model training,validation,and *** super-vised learning approaches including random forest(RF),gradient boosting(GB),support vector machine(SVM),and multilayer perceptron neural network(MLP)were evaluated and their prediction accuracy *** best performing model was ultimately built on the RF algorithm and is capable of an overall prediction accuracy of 93 percent on holdout *** RF-based model demonstrated high prediction accuracy for major oil and gas producing zones including the San Andres,Upper Spraberry,Lower Spraberry,Clearfork,and Wolfcamp at 98,94,89,94,and 94 percent ***,the resulting data-driven model provides a robust,cost-effective approach which can complement contemporary reservoir manag

关键词： Permian basin Midland basin K-means clustering Random forest Classification machine learning

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：