MOTIVATION Selecting a small number of signature genes for accurate classification of samples is essential for the development of diagnostic tests. However, many genes are highly correlated in gene expression data, and hence, many possible sets of genes are potential classifiers. Because treatment outcomes are poor in advanced chronic myeloid leukemia… (More)
This study was designed to investigate and compare the HPV prevalence, genotypes distribution and associated risk factors in rural and urban women living in Xishuang Banna district, in the province of Yunnan. A total of 177 and 190 women from rural and urban areas were engaged, respectively. HPV DNA was amplified using the L1 consensus primers system… (More)
Successful spin injection into graphene makes it a competitive contender in the race to become a key material for quantum computation, or the spin-operation-based data processing and sensing. Engineering ferromagnetic metal (FM)/graphene heterojunctions is one of the most promising avenues to realise it, however, their interface magnetism remains an open… (More)
In content-based image retrieval (CBIR), the effectiveness of the low-level features depends on their capabilities in describing the high-level semantic concepts. How to properly evaluate such an effectiveness remains a challenge. In this paper, we address the evaluation problem by using the decisive feature patterns of the low-level features. Intuitively,… (More)
We investigate the design of control algorithms for puck clus- tering simulations. Of interest is the control of the variance in puck cluster sizes, particularly when multiple clusters are being created. We present a theoretical framework under which behaviors may be designed which serve to control puck cluster sizes.