The difficulty of accounting for expectational effects in macro-economic models is well known. The standard procedure in dealing with this problem in the construction of large-scale macro-econometric models is to use current and lagged values as “proxies” for expected future values. An alternative procedure is to assume that expectations are rational. Although the assumption of rational expecta...

In this study the performance of three macro-models in predicting the nonlinear response of different walls is investigated. The macro-models used are: Equivalent Beam Model, Multiple Vertical Line Element Model and a shear panel model developed by Massone et al. (2006). The walls are classified as slender, intermediate, and squat walls according to their shear-span ratio. First, three single w...

Architectural limitations in many situations make it necessary for the RC shear walls to be extended in plan in different directions at a single location that makes them a 3D configuration. Analysis of such walls is very challenging. In this research about 450 cases of 3D shear walls are considered with different shapes and heights. L, T and H-shape walls are studied. They are nonlinearly analy...

From the three existing dimensions content objects, navigation and presentation of web pages, the navigation dimension is analysed. It consists of macro, meso and micro navigation. A conceptual approach to model and implement the macro navigation structure of web sites is presented. We start by enhancing a function decomposition diagram to model the macro navigation structure. The resulting gra...

In this paper, according to economics of real estate and macro-control theory, combine with the characteristics of the real estate market, macro-control of the real estate market is studied. After giving the dynamic model of three-dimensional nonlinear differential equations based on the total number of houses on the real estate business, the government’s averages housing investment funds and t...

This article describes a SAS macro to assess model fit of structural equation models by employing a test of the model-implied vanishing tetrads. Use of this test has been limited in the past, in part due to the lack of software that fully automates the test in a user-friendly way. The current SAS macro provides a straightforward method for researchers touse thevanishing tetrads impliedbymodels ...

We use an agent-based model to help to refine and clarify social practice theory, wherein the focus is neither on individuals nor on any form of societal totality, but on the repeated performances of practices ordered across space and time. The recursive relationship between social practices and practitioners (individuals performing practices) is strongly emphasised in social practice theory. W...

Temporal multi-document summarization (TMDS) aims to capture evolving information of a single topic over time and produce a summary delivering the main information content. This paper presents a cascaded regression analysis based macro-micro importance discriminative model for the content selection of TMDS, which mines the temporal characteristics at different levels of topical detail in order ...

iii Contents Abstract v 1. Introduction 1 2. Optimal aggregation 5 3. From micro to macro 9 4. From macro to semi-and non-parametric 11 5. Statistical learning 17 6. Conclusion 23 Appendix. The dual quadratic program 23 References 27 v Abstract Support Vector (SV)-regression, a common tool in statistical learning, estimates functions as linear combinations of given (nonlinear) kernel functions....

macroH2A is an H2A variant with a highly unusual structural organization. It has a C-terminal domain connected to the N-terminal histone domain by a linker. Crystallographic and biochemical studies show that changes in the L1 loop in the histone fold region of macroH2A impact the structure and potentially the function of nucleosomes. The 1.6-A X-ray structure of the nonhistone region reveals an...