Implication of BaBar's new data on the Ds1(2710)D_{s1}(2710) and DsJ(2860)D_{sJ}(2860)

The strong decays of the $D_{s1}(2710)$ and $D_{sJ}(2860)$ are investigated in the framework of the $^3P_0$ model. Its decay properties newly reported by the BaBar Collaboration can be reasonably accounted for in the presence of the $D_{s1}(2710)$ being a mixture of the $D_s(2 ^3S_1)$ and $D_s(1 ^3D_1)$. The orthogonal partner of the $D_{s1}(2710)$ is expected to have a mass of about $2.66\sim 2.9$ GeV in quark models and a width of about $40\sim 60$ MeV in the $^3P_0$ model. The predicted decay properties turn out to be consistent with the BaBar's new data in both the orthogonal partner of the $D_{s1}(2710)$ and the $D_s(1 ^3D_3)$ interpretations for the $D_{sJ}(2860)$. The available experimental information is not enough to distinguish these two possibilities. The $E1$ radiative transitions of the $D_{s1}(2710)$ and $D_{sJ}(2860)$ are also studied. We tend to conclude that the $D_{s1}(2710)$ can be identified as a mixture of the $D_s(2 ^3S_1)$ and $D_s(1 ^3D_1)$, and the $D_{sJ}(2860)$ could be either the orthogonal partner of the $D_{s1}(2710)$ or the $D_s(1 ^3D_3)$. Further experimental information on the $D_{sJ}(2860)$ in the $D_s\eta$, $D^\ast_s\eta$, and $DK^\ast$ channels is needed.Comment: 13 pages, 2 figures, version accepted for publication in Phys. Rev.

The Nature of Novelty Detection

Sentence level novelty detection aims at reducing redundant sentences from a sentence list. In the task, sentences appearing later in the list with no new meanings are eliminated. Aiming at a better accuracy for detecting redundancy, this paper reveals the nature of the novelty detection task currently overlooked by the Novelty community $-$ Novelty as a combination of the partial overlap (PO, two sentences sharing common facts) and complete overlap (CO, the first sentence covers all the facts of the second sentence) relations. By formalizing novelty detection as a combination of the two relations between sentences, new viewpoints toward techniques dealing with Novelty are proposed. Among the methods discussed, the similarity, overlap, pool and language modeling approaches are commonly used. Furthermore, a novel approach, selected pool method is provided, which is immediate following the nature of the task. Experimental results obtained on all the three currently available novelty datasets showed that selected pool is significantly better or no worse than the current methods. Knowledge about the nature of the task also affects the evaluation methodologies. We propose new evaluation measures for Novelty according to the nature of the task, as well as possible directions for future study.Comment: This paper pointed out the future direction for novelty detection research. 37 pages, double spaced versio

Does Design-Build (DB) Outperform Construction Management at Risk (CMAR)? A cost and schedule comparative study of DB projects and CMAR projects

Design-Build (DB) and Construction Management at Risk (CMAR) are two widely used alternative project delivery systems in the construction industry. Previous studies have found inconclusive results on which of the two has better cost and schedule performances when applied in construction projects. This study chose unit cost, change order factor, cost growth, schedule growth, and construction intensity as the metrics to measure the cost and schedule performance of both DB projects and CMAR projects. Two statistical analysis tools, Analysis of Variance and Wilcoxon Signed Rank Test, were applied to see if there is any difference between the two project delivery systems’ means of the five measurements. The test results were used to determine which project delivery system has better performance in the real world. The results showed that Design-Build is superior to Construction Management at Risk in construction intensity, while Construction Management at Risk has better performance on change order, cost growth, and schedule growth. And there is no difference on unit cost