this study defines necessary data elements required for the research information system in the domain of health, and its level of accountability to national health research indicators from the experts' perspective is being explored.this qualitative study was conducted based on comparative approach using the focus group method. data were collected through 6 semi-structured group discussions held...

We study the informational content of factor structures in discrete triangular systems. Factor structures have been employed in a a variety of settings in cross sectional and panel data models, and in this paper we formal quantify their informational content in a bivariate system often employed in the treatment e↵ects literature. Our main findings are that under the factor structures often impo...

Archimedean copulas are copulas determined by a specific real function, called the generator. Composited with the copula at a given point, this generator can be expressed as a linear form of generators of the considered point components. In this paper, we discuss the case where this function is expressed as a quadratic form (called here multivariate Archimatrix copulas). This allows extending A...

Does the investment in firm-specific IT resources lead to better alliance performance? This study proposes to answer this question by empirically examining the effect of a firm’s IT resources on the performance consequences of individual alliances for firms. Drawing upon previous works on organizational learning and dynamic capability, we identify and discuss key mechanisms that convert IT reso...

In this short technical report, we define on the sample space R D a distance between data points which depends on their correlation. We also derive an expression for the center of mass of a set of points with respect to this distance. 1 Preliminaries For a sample point x = (x1, . . . , xD) ∈ R, we define the average

In this paper we introduce a method of classification based on data probes. Data points are considered as point masses in space and a probe is simply a particle that is launched into the space. As the probe passes by data clusters, its trajectory will be influenced by the point masses. We use this information to help us to find vertical trajectories. These are trajectories in the input space th...

In this paper we investigate the acquisition of 3D functional object maps for outdoor urban scenes from point cloud data, using techniques which worked reliably for indoor household environments in our previous work[1]. By employing 3D geometry reasoning methods, our approach can successfully segment the important parts of the environment and give semantic annotations to the underlying data poi...