1.
A Study on Regionality Recurrence and Reconstruction of Urban Landscape Design;
城市景观地域性回归与重构设计研究
2.
Return and Restructuring:the Origin of Service Administration in China;
回归与重构:服务行政在中国的源起
3.
Regression and Reconstruction:A Talk About the New Connotation of the Current Movie and Teleplay’s Ethic Saying;
回归与重构:论当前影视作品伦理话语新内涵
4.
On the Regression and Reconstruct of Logic Education in National Middle School Chinese Teaching
论中学语文教学中逻辑教育的回归与重构
5.
Discussion on the Fading,Regaining and Rebuilding of Human's Subject Status in Modern Sports
论现代竞技运动中人的主体地位的缺失、回归与重构
6.
Re-construction of Sports Humanistic Spirit and Reconstruction of Its Values;
体育人文精神的回归与体育价值的重构
7.
The Deconstruction, Reconstruction and Return of Scholar s Value Standard--The Textual and Cultural Interpretation of Chapter Huangying in Liaozhaizhiyi;
士人价值标准的解构、重构与回归——《聊斋志异·黄英》的文本文化解读
8.
Alienation and Return--Revision of the Traditional Image of Yan Hui;
异化与回归——对传统颜回形象的重新审视
9.
Fracture and Regression--The Construction of Contemporary New Management Rationality
断裂与回归——当代管理新理性的建构
10.
Perfection of Process and Return of Value--The Construction of Teaching Standard is the Return of School PE Value;
过程的完美与价值的回归——教学标准的构建是学校体育价值的回归
11.
The Applications of Support Vector Machines for Regression in Curves Fitting/Reconstruction;
支持向量回归在曲线拟合/重构中的应用
12.
What Kind of Reason We Need Return?--The Reconstruction of Humanity Reason in the Present Time;
回归什么样的理性——当代人性理念的重构
13.
Trace back to the Riverside Life-Deconstruction and Construction on Urban Design of Jiangyin Bund
滨水生活的回归——江阴“外滩”城市设计解构与建构
14.
Loss and Return: Loss and Reconstruction of the Right of Speech of the Traditional Musical Culture
失位与回归：传统音乐文化话语权的丧失与重建
15.
Reconstruction, arrogation and reversion--the whole language and its limitation;
重构、僭越与复归——试论全语言及其限度
16.
Reflections on the Principle of Culpability for State Compensation and its Reconstruction;
我国国家赔偿归责原则之反思与重构
17.
Fit and forcasting are two most important appliance in regression analysis.
拟合与预测是回归分析的两个最重要的应用。
18.
Forecasting for Monthly Electricity Consumption Using Partial Least-square Regressive and Proportion Model;
基于偏最小二乘回归与比重法的月售电量预测