BACKGROUND Collaborative approaches in quality improvement have been promoted since the introduction of the Breakthrough method. The effectiveness of this method is inconclusive and further independent evaluation of the method has been called for. For any evaluation to succeed, data collection on interventions performed within the collaborative and outcomes of those interventions is crucial. Ge...

in this paper, it has been shown that there is a special relation between horizontal and vertical gradients of gravity data and the vertical and horizontal components of magnetic data for some of 2-d sources. it has been shown that the hilbert transform is useful in calculating the vertical gradient of gravity and magnetic anomalies from the horizontal gradient for transformation of gravity and...

Quantitative data cleaning relies on the use of statistical methods to identify and repair data quality problems while logical data cleaning tackles the same problems using various forms of logical reasoning over declarative dependencies. Each of these approaches has its strengths: the logical approach is able to capture subtle data quality problems using sophisticated dependencies, while the q...

Jonathan C. Carr1, Andrew H. Gee1, Richard W. Prager1 & Kevin J. Dalton2 1Dept. of Engineering, University of Cambridge, Cambridge, UK. Email: [email protected] 2Dept. Obstetrics & Gynaecology, University of Cambridge, Cambridge, UK. ABSTRACT A 3D B-spline quasi-interpolant is used to extract smooth iso-value surfaces from volume data. In this technique discretization and partial voluming arti...

Assumption for 1 sample T test: Data are normally distributed. We have discussed in the last article on how to check the normality assumption of a quantitative data. One issue being highlighted was that these formal normality tests are very sensitive to the sample size of the variable concerned. As seen here, table II shows that the normality assumptions for both the systolic and diastolic bloo...

In this paper, we consider the problem of optimizing register allocation and cache behavior for loop array references. We exploit techniques developed initially for data locality estimation and improvement in the framework of cache or local memories. First we review the concept of \reference window" that serves as our basic tool for both data locality evaluation and management. Then we study ho...

Interpretation of image data sequences from active thermography systems has typically been based on analysis of temporal variations in the contrast of each pixel, relative to a real (or synthesized) defect-free reference point on the sample. Various schemes for quantitative analysis of contrast data have been developed, in which times for events such as maximum contrast or the maximum slope of ...

Statistical descriptors of the X-ray diffraction data set for a macromolecular crystal can be modelled using the information present in the initial diffraction images. Quantitative relationships between the crystal quality, beam apertures, oscillation width, resolution limit, redundancy and the data statistics are presented. They are analysed in terms of the radiation-dose requirements based on...

Many clinical and research studies in nuclear medicine require quantitation of iodine-123 (123I) distribution for the determination of kinetics or localization. The objective of this study was to implement several reconstruction methods designed for single-photon emission computed tomography (SPECT) using 123I and to evaluate their performance in terms of quantitative accuracy, image artifacts,...

Data visualization is a fundamental aspect of science. In the context of microscopy-based studies, visualization typically involves presentation of the images themselves. However, data visualization is challenging when microscopy experiments entail imaging of millions of cells, and complex cellular phenotypes are quantified in a high-content manner. Most well-established visualization tools are...