Document-level sentiment classification aims to predict user’s overall sentiment in a document about a product. However, most of existing methods only focus on local text information and ignore the global user preference and product characteristics. Even though some works take such information into account, they usually suffer from high model complexity and only consider wordlevel preference ra...

In March 1998, the political leadership of the Arab-Palestinian citizens of Israel was looking for ways to commemorate al-Nakba (“The Disaster,” in Arabic), referring to the war of 1948, during which about 700,000 Palestinians were uprooted and hundreds of Palestinian villages were destroyed. This leadership, organized in the Follow-Up Committee (FUC), nominated a Nakba and Steadfastness Commit...

A method is formulated for the description of lambda hypernuclei in the framework of the unitary-model-operator approach (UMOA). The method is applied to 17 Λ O. A lambda-nucleon effective interaction is derived, taking the coupling of the sigma-nucleon channel into account. The lambda single-particle energies are calculated for the 0s1/2, 0p3/2 and 0p1/2 states employing the Nijmegen soft-core...

The Chinese aspect marker le has long been considered very difficult for CSL learners. Therefore, we created an computer-based interactive multimedia CSL program of the perfective le based on the linguistic studies of the perfective le [3,25,26,28,29] and explored its effectiveness. Results of this study didn’t show that the multimedia program as a self-learning tool outperform the printed mate...

The unitary-correlation-operator method (UCOM) is formulated for the description of lambda hypernuclei. The method is applied to 17 Λ O. A lambda-nucleon effective interaction is derived, taking the coupling of the sigma-nucleon channel into account. The lambda single-particle energies are calculated for the 0s1/2, 0p3/2 and 0p1/2 states employing the Nijmegen soft-core (NSC), Jülich model-Ã (J...

In this paper, we study the widely used nearest shrunken centroid classifier (NSC, also known as PAM) for microarray data from the supervised dimension reduction perspective. A simple modification is proposed and through application to public microarray data, we illustrate the favorable performance of the proposed method. Supplementary information can be found at http://www.biostat.umn. edu/~ba...

-In this paper, we consider the environment of using multiple OVSF codes to support a request with any data rate. This paper presents the Crowded Branch First strategy for multiple OVSF codes assignment system. Based on the new strategy and the code word generation method, the system can allocate the appropriated codes to each request under the constraint of assigned code amount, and under the ...

Neural Stem Cells (NSCs) have a remarkable capacity to proliferate and differentiate to other cell types. This ability to differentiate to desirable phenotypes has motivated clinical interests, hence the interest here to segment Neural Stem Cell (NSC) clusters to locate the NSC clusters over time in a sequence of frames, and in turn to perform NSC cluster motion analysis. However the manual seg...

For a graph G, let diam(G) denote the diameter of G. For any two vertices u and v in G, let d(u, v) denote the distance between u and v. A multi-level distance labeling (or distance labeling) for G is a function f that assigns to each vertex of G a non-negative integer such that for any vertices u and v, |f(u)− f(v)| ≥ diam(G) − dG(u, v) + 1. The span of f is the largest number in f(V ). The ra...