Shasha Wang

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Micromechanical resonators are promising replacements for quartz crystals for timing and frequency references owing to potential for compactness, integrability with CMOS fabrication processes, low cost, and low power consumption. To be used in high performance reference application, resonators should obtain a high quality factor. The limit of the quality(More)
Naive Bayes (NB) is one of the top 10 algorithms thanks to its simplicity, efficiency, and interpretability. To weaken its attribute independence assumption, naive Bayes tree (NBTree) has been proposed. NBTree is a hybrid algorithm, which deploys a naive Bayes classifier on each leaf node of the built decision tree and has demonstrated remarkable(More)
Vascular endothelial growth factor B (VEGF-B) was discovered a long time ago. However, its role in hyperglycemia- and VEGF-A inhibition-induced retinal apoptosis remains unknown thus far. Yet, drugs that can block VEGF-B are being used to treat patients with diabetic retinopathy and other ocular neovascular diseases. It is therefore urgent to have a better(More)
Genic male sterility (GMS) has already been extensively utilized for hybrid rapeseed production. TE5A is a novel thermo-sensitive dominant GMS line in Brassica napus, however, its mechanisms of GMS remain largely unclear. Histological and Transmission electron microscopy (TEM) analyses of anthers showed that the male gamete development of TE5A was arrested(More)
Classification is an important task in data mining, while accurate class probability estimation is also desirable in real-world applications. Some probability-based classifiers, such as the k-nearest neighbor algorithm (KNN) and its variants, can estimate the class membership probabilities of the test instance. Unfortunately, a good classifier is not always(More)
Clustering is the process of grouping a set of physical or abstract objects into classes of similar objects. By appropriately representing the abstract objects in a vector space, the similarity among objects is equivalent to that among vectors. Hence, the problems, such as the clustering of limited data, clustering accuracy and efficiency, can be solved(More)