Background: Considering the role of HLA matching in transplant outcome, the quality of HLA-DR typing is clearly an important issue. In recent years, serological methods have been replaced with DNA based typing methods. The main objective of this study was to compare HLA-DR typing data obtained from existing serologic method with data obtained by the new PCR-SSP method. Methods: 55 peripheral bl...

Background Over the past few decades diabetes has emerged as an important non-communicable disease in SubSaharan Africa (SSA). Sight loss from Diabetic Retinopathy (DR) can be prevented with screening and early treatment. The objective of this paper is to outline the required actions and considerations in the planning and development of DR screening services.   Methods A multiple-case study app...

BACKGROUND HIV drug-resistance (DR) surveillance in resource-limited settings can be performed using dried blood spots (DBS) because of ease of collection, transportation and storage. Analysis of pooled specimens on next-generation sequencing (NGS)-based platforms, such as the 454 pyrosequencing, is an efficient sequencing method for determining HIV DR rates. In this study, we conducted HIV DR ...

The dissociative recombination (DR) of H(3)(+) is a key process in interstellar chemistry. More than 30 experimental studies of the DR process have been published in the literature. The H(3)(+) DR rate coefficient results obtained from these measurements, however, have not always been consistent. The outcome seems to depend on the experimental method, on the exact measurement procedure and some...

In this study, we report a potential noninvasive technique for the detection of vulnerable plaques using scatter analyses with flow cytometry (FCM) method combined with the diffusion reflection (DR) method. The atherosclerotic plaques are commonly divided into two major categories: stable and vulnerable. The vulnerable plaques are rich with inflammatory cells, mostly macrophages (MΦ), which rel...

To assist physicians to quickly find the required 3D model from the mass medical model, we propose a novel retrieval method, called DRFVT, which combines the characteristics of dimensionality reduction (DR) and feature vector transformation (FVT) method. The DR method reduces the dimensionality of feature vector; only the top M low frequency Discrete Fourier Transform coefficients are retained....

We proposed a deep learning method for interpretable diabetic retinopathy (DR) detection. The visualinterpretable feature of the proposed method is achieved by adding the regression activation map (RAM) after the global averaging pooling layer of the convolutional networks (CNN). With RAM, the proposed model can localize the discriminative regions of an retina image to show the specific region ...

High-dimensional data sets are a prevalent occurrence in many application domains. This data is commonly visualized using dimensionality reduction (DR) methods. DR methods provide e.g. a two-dimensional embedding of the abstract data that retains relevant high-dimensional characteristics such as local distances between data points. Since the amount of DR algorithms from which users may choose i...

We present a simple systematic method to study candidate counterterms in N = 8 supergravity. Complicated details of the counterterm operators are avoided because we work with the on-shell matrix elements they produce. All n-point matrix elements of an independent SUSY invariant operator of the form DR + . . . must be local and satisfy SUSY Ward identities. These are strong constraints, and we t...