Seasonal fractional integration with structural break. An application to the German GNP data

This paper deals with the analysis of the German nominal GNP quarterly data (1973q1 – 1996q4) using a new approach based on seasonal fractional integration that allows us to incorporate a structural break that is endogenously determined by the model. The results show that the break occurs at 1990q2, the time of the German re-unification, and the order of integration is slightly above 1 before the break, and strictly smaller than 1 (though highly persistent) after the unification.

Bayesian correlated clustering to integrate multiple datasets

Motivation: The integration of multiple datasets remains a key challenge in systems biology and genomic medicine. Modern high-throughput technologies generate a broad array of different data types, providing distinct – but often complementary – information. We present a Bayesian method for the unsupervised integrative modelling of multiple datasets, which we refer to as MDI (Multiple Dataset Integration). MDI can integrate information from a wide range of different datasets and data types simultaneously (including the ability to model time series data explicitly using Gaussian processes). Each dataset is modelled using a Dirichlet-multinomial allocation (DMA) mixture model, with dependencies between these models captured via parameters that describe the agreement among the datasets. Results: Using a set of 6 artificially constructed time series datasets, we show that MDI is able to integrate a significant number of datasets simultaneously, and that it successfully captures the underlying structural similarity between the datasets. We also analyse a variety of real S. cerevisiae datasets. In the 2-dataset case, we show that MDI’s performance is comparable to the present state of the art. We then move beyond the capabilities of current approaches and integrate gene expression, ChIP-chip and protein-protein interaction data, to identify a set of protein complexes for which genes are co-regulated during the cell cycle. Comparisons to other unsupervised data integration techniques – as well as to non-integrative approaches – demonstrate that MDI is very competitive, while also providing information that would be difficult or impossible to extract using other methods

Structural Estimation of Variety Gains from Trade Integration in Asia

Structural Estimation of Variety Gains from Trade Integration in Asia  The present paper studies variety gains from trade integration in Asia. Applying a heterogenous Örm model we simulate trade integration in Asia in three different scenarios (CIFTA, ASEAN+3, and ASEAN+6). The paper makes three contributions to the literature. First, in addition to traditional gains from specialisation, we also account for gains arising from increased number of different varieties. Second, we explicitly account for di§erences in trade gains between variable and fixed trade cost reduction. Third, using a unique set of firm-level panel data we estimate the underlying trade modelís structural parameters econometrically. We find that the gains from trade integration are substantial. Reducing trade barriers by 15 percent induces trade growth up to 60 percent, which due to the additional extensive margin is more than in trade models with representative firms. Similarly, due due additional welfare gains from variety growth, the gains from trade are up to 17 percent higher than in models with homogenous products.Variety gains, extensive margin, trade integration, Asia, heterogenous firms.

Anisotropic microsphere-based approach to damage in soft fibered tissue

The final publication is available at Springer via http://dx.doi.org/10.1007/s10237-011-0336-9An anisotropic damage model for soft fibered tissue is presented in this paper, using a multi-scale scheme and focusing on the directionally dependent behavior of these materials. For this purpose, a micro-structural or, more precisely, a microsphere-based approach is used to model the contribution of the fibers. The link between micro-structural contribution and macroscopic response is achieved by means of computational homogenization, involving numerical integration over the surface of the unit sphere. In order to deal with the distribution of the fibrils within the fiber, a von Mises probability function is incorporated, and the mechanical (phenomenological) behavior of the fibrils is defined by an exponential-type model. We will restrict ourselves to affine deformations of the network, neglecting any cross-link between fibrils and sliding between fibers and the surrounding ground matrix. Damage in the fiber bundles is introduced through a thermodynamic formulation, which is directly included in the hyperelastic model. When the fibers are stretched far from their natural state, they become damaged. The damage increases gradually due to the progressive failure of the fibrils that make up such a structure. This model has been implemented in a finite element code, and different boundary value problems are solved and discussed herein in order to test the model features. Finally, a clinical application with the material behavior obtained from actual experimental data is also presented.Peer ReviewedPostprint (author's final draft

Responsible Composition and Optimization of Integration Processes under Correctness Preserving Guarantees

Enterprise Application Integration deals with the problem of connecting heterogeneous applications, and is the centerpiece of current on-premise, cloud and device integration scenarios. For integration scenarios, structurally correct composition of patterns into processes and improvements of integration processes are crucial. In order to achieve this, we formalize compositions of integration patterns based on their characteristics, and describe optimization strategies that help to reduce the model complexity, and improve the process execution efficiency using design time techniques. Using the formalism of timed DB-nets - a refinement of Petri nets - we model integration logic features such as control- and data flow, transactional data storage, compensation and exception handling, and time aspects that are present in reoccurring solutions as separate integration patterns. We then propose a realization of optimization strategies using graph rewriting, and prove that the optimizations we consider preserve both structural and functional correctness. We evaluate the improvements on a real-world catalog of pattern compositions, containing over 900 integration processes, and illustrate the correctness properties in case studies based on two of these processes.Comment: 37 page

PRELIMINARY DETECTION OF GEOTHERMAL MANIFESTATION POTENTIAL USING MICROWAVE SATELLITE REMOTE SENSING

The satellite technology has developed significantly. The sensors of remote sensing satellites are in the form of optical, Microwave, and LIDAR. These sensors can be used for energy and mineral resources applications. The example of those applications are height model and the potential of geothermal manifestation detection. This study aims to detect the potential of geothermal manifestation using remote sensing. The study area is the Northern of the Inverse Arc of Sulawesi. The method used is remote sensing approach for its preliminary detection with 4 steps as follow (a) mining land identification, (b) geological parameter extraction, (c) preparation of standardized spatial data, and (d) geothermal manifestation. Mining lands identification is using Vegetation Index Differencing method. Geological parameters include structural geology, height model, and gravity model. The integration method is used for height model. The height model integration use ALOS PALSAR data, Icesat/GLAS, SRTM, and X SAR. Structural geology use dip and strike method. Gravity model use physical geodesy approach. Preparation of standardized spatial data with re-classed and analyzed using Geographic Information System between each geological parameter, whereas physical geodesy methods are used for geothermal manifestation detection. Geothermal manifestation using physical geodesy approach in Barthelmes method. Grace and GOCE data are used for gravity model. The geothermal manifestation detected from any parameter is analyzed by using geographic information system method. The result of this study is 10 area of geothermal manifestation potential. The accuracy test of this research is 87.5 % in 1.96 σ. This research can be done efficiently and cost-effectively in the process. The results can be used for various geological and mining applications

Australia and New Zealand CER Agreement and Breakpoints in Bilateral Trade: An Application of the Wald-type Test

This paper investigates the impact of the Australia-New Zealand Closer Economic Relations (CER) Trade Agreement on bilateral trade of each member country by using historical time series data before and after the implementation of the CER. We determined the existence of endogenously determined structural breaks over the last 30 years. The Vogelsang (1997) Wald-type testing procedure is then used to test for the existence of a break at an unknown time in the trend function of the dynamic time series. The advantage of this model is that the procedure does not impose any restriction on the nature of the data since it allows for either trending or unit root series, or both, in the model. Using a Wald-type test for detecting breaks in the trend function of a univariate time series, we found that a significant trend break detected in New Zealand in 1988 coincided with the extensive review of the CER in 1988.Trend breaks, Wald-type testing, Australia-New Zealand integration

Processing and electrical characterization of a unidirectional CFRP composite filled with double walled carbon nanotubes

Carbon nanotubes represent new emergent multifunctional materials that have potential applications for structural and electrically conductive composites. In the current paper we present a suitable technique for the integration of Double Walled Carbon Nanotubes (DWCNTs) in a unidirectional Carbon Fiber Reinforced Polymer (CFRP) with high volume content of carbon fiber. We showed that the electrical conductivity of the laminates versus temperature follows a non-linear variation which can be well described by the Fluctuation-Induced Tunneling Conduction (FITC) model. The parameters of this model for CFRP/ DWCNTs and CFRP without DWCNTs were determined using best fit curves of the experimental data. This study has shown that DWCNTs have strong influence in the conductivity through laminate thickness. However, there are no significant effects on the electrical conductivity measured in the other two principle directions of the composite laminate. Furthermore, it was found that electron conduction mechanism of carbon fibers is dominated by the FITC

Analysis of Factors Affect to Organizational Performance in Using Accounting Information Systems Through Users Satisfaction and Integration Information Systems

The aim of this research is to investigate the factors affecting organizational performance in using accounting information system through users satisfaction and integration information systems. The research respondents were 447 companies that listed in Indonesian Stock Exchange. The data are gathered through consensus method and in total there are 176 responses with complete data. Structural Equation Model (SEM) is used in analyzing the data and system theory is utilized in this research. The result shows that knowledge management systems and management control system have significant influence on users satisfaction and integration information systems. Integration information system and users satisfaction has positive significant on organizational performance