This research paper compares Excel and R language for data analysis and concludes that R language is more suitable for complex data analysis tasks.R language’s open-source nature makes it accessible to everyone,and i...This research paper compares Excel and R language for data analysis and concludes that R language is more suitable for complex data analysis tasks.R language’s open-source nature makes it accessible to everyone,and its powerful data management and analysis tools make it suitable for handling complex data analysis tasks.It is also highly customizable,allowing users to create custom functions and packages to meet their specific needs.Additionally,R language provides high reproducibility,making it easy to replicate and verify research results,and it has excellent collaboration capabilities,enabling multiple users to work on the same project simultaneously.These advantages make R language a more suitable choice for complex data analysis tasks,particularly in scientific research and business applications.The findings of this study will help people understand that R is not just a language that can handle more data than Excel and demonstrate that r is essential to the field of data analysis.At the same time,it will also help users and organizations make informed decisions regarding their data analysis needs and software preferences.展开更多
The comparison of the two versions of The story of An Hour done by Yanxuejun and Ge Lin respectively presents how important accarate idiomatic and vivid language is in course of translation.
Foreign language anxiety is a negative emotion of fear or apprehension occurring in the specific situation of foreign language learning influencing language learning. The author made a research among vocational school...Foreign language anxiety is a negative emotion of fear or apprehension occurring in the specific situation of foreign language learning influencing language learning. The author made a research among vocational school students to investigate the level and sources of foreign language anxiety.展开更多
Radial Basis Function methods for scattered data interpolation and for the numerical solution of PDEs were originally implemented in a global manner. Subsequently, it was realized that the methods could be implemented...Radial Basis Function methods for scattered data interpolation and for the numerical solution of PDEs were originally implemented in a global manner. Subsequently, it was realized that the methods could be implemented more efficiently in a local manner and that the local approaches could match or even surpass the accuracy of the global implementations. In this work, three localization approaches are compared: a local RBF method, a partition of unity method, and a recently introduced modified partition of unity method. A simple shape parameter selection method is introduced and the application of artificial viscosity to stabilize each of the local methods when approximating time-dependent PDEs is reviewed. Additionally, a new type of quasi-random center is introduced which may be better choices than other quasi-random points that are commonly used with RBF methods. All the results within the manuscript are reproducible as they are included as examples in the freely available Python Radial Basis Function Toolbox.展开更多
基于Android智能设备中所封装的安全机制,利用SM4国密算法对Android智能设备中的隐私数据提供机密性保护。通过编译Android开源项目(Android Open Source Project,AOSP)的源码,设计SM4国密算法的汇编语言代码,并将所生成的安全算法动态...基于Android智能设备中所封装的安全机制,利用SM4国密算法对Android智能设备中的隐私数据提供机密性保护。通过编译Android开源项目(Android Open Source Project,AOSP)的源码,设计SM4国密算法的汇编语言代码,并将所生成的安全算法动态库嵌入Android 9.0源码,在Android内核层中实现SM4密码算法对终端内部文件执行快速加密的功能。在Pixel 2设备上利用汇编语言对SM4密码算法的加密速率进行模拟仿真,结果表明,在移动智能终端中采用汇编语言设计的SM4算法具有较高的加密速率,能够高效保护Android移动设备用户的隐私数据。展开更多
文摘This research paper compares Excel and R language for data analysis and concludes that R language is more suitable for complex data analysis tasks.R language’s open-source nature makes it accessible to everyone,and its powerful data management and analysis tools make it suitable for handling complex data analysis tasks.It is also highly customizable,allowing users to create custom functions and packages to meet their specific needs.Additionally,R language provides high reproducibility,making it easy to replicate and verify research results,and it has excellent collaboration capabilities,enabling multiple users to work on the same project simultaneously.These advantages make R language a more suitable choice for complex data analysis tasks,particularly in scientific research and business applications.The findings of this study will help people understand that R is not just a language that can handle more data than Excel and demonstrate that r is essential to the field of data analysis.At the same time,it will also help users and organizations make informed decisions regarding their data analysis needs and software preferences.
文摘The comparison of the two versions of The story of An Hour done by Yanxuejun and Ge Lin respectively presents how important accarate idiomatic and vivid language is in course of translation.
文摘Foreign language anxiety is a negative emotion of fear or apprehension occurring in the specific situation of foreign language learning influencing language learning. The author made a research among vocational school students to investigate the level and sources of foreign language anxiety.
文摘Radial Basis Function methods for scattered data interpolation and for the numerical solution of PDEs were originally implemented in a global manner. Subsequently, it was realized that the methods could be implemented more efficiently in a local manner and that the local approaches could match or even surpass the accuracy of the global implementations. In this work, three localization approaches are compared: a local RBF method, a partition of unity method, and a recently introduced modified partition of unity method. A simple shape parameter selection method is introduced and the application of artificial viscosity to stabilize each of the local methods when approximating time-dependent PDEs is reviewed. Additionally, a new type of quasi-random center is introduced which may be better choices than other quasi-random points that are commonly used with RBF methods. All the results within the manuscript are reproducible as they are included as examples in the freely available Python Radial Basis Function Toolbox.
