LATTE: Application Oriented Social Network Embedding

In recent years, many research works propose to embed the network structured data into a low-dimensional feature space, where each node is represented as a feature vector. However, due to the detachment of embedding process with external tasks, the learned embedding results by most existing embedding models can be ineffective for application tasks with specific objectives, e.g., community detection or information diffusion. In this paper, we propose study the application oriented heterogeneous social network embedding problem. Significantly different from the existing works, besides the network structure preservation, the problem should also incorporate the objectives of external applications in the objective function. To resolve the problem, in this paper, we propose a novel network embedding framework, namely the "appLicAtion orienTed neTwork Embedding" (Latte) model. In Latte, the heterogeneous network structure can be applied to compute the node "diffusive proximity" scores, which capture both local and global network structures. Based on these computed scores, Latte learns the network representation feature vectors by extending the autoencoder model model to the heterogeneous network scenario, which can also effectively unite the objectives of network embedding and external application tasks. Extensive experiments have been done on real-world heterogeneous social network datasets, and the experimental results have demonstrated the outstanding performance of Latte in learning the representation vectors for specific application tasks.Comment: 11 Pages, 12 Figures, 1 Tabl

Statistical model comparison in genetic analysis of challenge test data on Streptococcus agalactiae resistance in Nile tilapia (Oreochromis niloticus)

Five statistical models were used to analysis genetic variations, heritability and the ability to predict survival of Nile tilapia based on challenge test data. 12 full-sib Nile tilapia families (1870 individuals) with an average weight of 8g in young group (G8) and 35g in older group (G35) were tested. Sire-dam binary threshold (BTH_sire-dam) model and Animal model (BTH_Animal) were using test-period survival as the univariate trait definition. And sire-dam survival score (SS) model was applied to test-day survival (one record per fish per day). Also a family mean survival (FMS) model and a family mean area (FMA) model were tested with the mean survival rate and integral area per family as trait definitions, respectively. Highest heritability was found with the FMS model (0.56 ± 0.42), followed by the BTH_sire-dam model (0.45 ± 0.17) and the FMA model (0.42 ± 0.34). The BTH_Animal model got a relatively much lower value of heritability (0.27 ± 0.11), whereas the SS model (0.07 ± 0.03) was distinctly the lowest. The highest Pearson correlation coefficients between predicted breeding values for the various models were 0.97 for the BTH_sire-dam model and the BTH_Animal model, 0.96 for the SS model, 0.87 for the FMA model and the FMS model had the lowest prediction power with a correlation of 0.77. In conclusion, BTH_sire-dam model was the best fitted model with a high heritability and the highest selection accuracy among these five models.M-A

Deuteron-like states composed of two doubly charmed baryons

We present a systematic investigation of the possible molecular states composed of a pair of doubly charmed baryons ($\Xi_{cc}\Xi_{cc}$) or one doubly charmed baryon and one doubly charmed antibaryon $(\Xi_{cc}\bar{\Xi}_{cc})$ within the framework of the one-boson-exchange-potential model. For the spin-triplet systems, we take into account the mixing between the ${}^3S_1$ and ${}^3D_1$ channels. For the baryon-baryon system $\Xi_{cc}\Xi_{cc}$ with $(R,I) = (\bar{3}, 1/2)$ and $(\bar{3}, 0)$, where $R$ and $I$ represent the group representation and the isospin of the system, respectively, there exist loosely bound molecular states. For the baryon-antibaryon system $\Xi_{cc}\bar{\Xi}_{cc}$ with $(R,I) = (8, 1)$, $(8, 1/2)$ and $(8,0)$, there also exist deuteron-like molecules. The $B_{cc}\bar{B}_{cc}$ molecular states may be produced at LHC. The proximity of their masses to the threshold of two doubly charmed baryons provides a clean clue to identify them.Comment: 18 pages, 8 figure