BACKGROUND Alterations in the dopaminergic reward system, predominantly the striatum, constitute core characteristics of schizophrenia. AIMS Functional connectivity of the dorsal striatum during reward-related trial-and-error learning was investigated in 17 people with schizophrenia and 18 healthy volunteers and related to striatal grey matter volume and psychopathology. METHOD We used voxe...

This paper proposed a new weighted KNN data filling algorithm based on grey correlation analysis (GBWKNN) by researching the nearest neighbor of missing data filling method. It is aimed at that missing data is not sensitive to noise data and combined with grey system theory and the advantage of the K nearest neighbor algorithm. The experimental results on six UCI data sets showed that its filli...

These instructions give you guidelines for preparing papers DRP Journals. Use this document as a template if are using Microsoft Word 6.0 or later. Otherwise, use an instruction set. The electronic file of your paper will be formatted further at DRP. Paper titles should written in uppercase and lowercase letters, not all uppercase. Avoid writing long formulas with subscripts the title; short th...

Brain involvement in myotonic dystrophy type 1 (DM1) is characterised by cortical atrophy and white matter lesions. We compared the magnetic resonance imaging derived grey matter maps of 22 DM1 patients with those of matched, healthy controls using voxel based morphometry to evaluate the extension of global and regional cortical atrophy in DM1, as well as its relationships with clinical and gen...

The present paper proposes a novel approach for facial expression identification based on the statistical features extracted from the 4-bit co-occurrence matrix. In the present, first color image is converted into grey level image using 7-bit quantization technique. To reduce the complexity of the Grey Level Co-occurrence matrix the present paper generates the co-occurrence matrix on 4 bit grey...

The theory of grey system is used when sufficient information of the community under study is not in hand. The grey forecast model is proper when the information variety is fix and certain. Grey model can apply some additional computations to improve forecasting activities when data is insufficient. Through using improved grey model, the assessment error decreases significantly. This study made...

The automatic binarization of grey level images or the automatic determination of optimum threshold value that separates objects from their background is still a difficult and challenging problem in many applications in the area of digital image processing. A new algorithm is proposed for the optimum automatic thresholding of digital images. The algorithm is based on determining the best thresh...

In this study, the concept of relative membership degree is proposed to investigate grey optimal cluster evaluation. Besides, the correlation coefficient between sample observation value and standard eigenvalue is used to reflect the similarity degree of evaluation objective and each cluster centre. Based on those mentioned above and concept of relative membership degree, an optimized grey clus...