Attention mechanisms are widely used in current encoder/decoder frameworks of image captioning, where a weighted average on encoded vectors is generated at each time step to guide the caption decoding process. However, the decoder has little idea of whether or how well the attended vector and the given attention query are related, which could make the decoder give misled results. In this paper, we propose an "Attention on Attention" (AoA) module, which extends the conventional attention mechanisms to determine the relevance between attention results and queries. AoA first generates an "information vector" and an "attention gate" using the attention result and the current context, then adds another attention by applying element-wise multiplication to them and finally obtains the "attended information", the expected useful knowledge. We apply AoA to both the encoder and the decoder of our image captioning model, which we name as AoA Network (AoANet). Experiments show that AoANet outperforms all previously published methods and achieves a new state-ofthe-art performance of 129.8 CIDEr-D score on MS COCO "Karpathy" offline test split and 129.6 CIDEr-D (C40) score on the official online testing server. Code is available at https://github.com/husthuaan/AoANet.

Many studies have shown that long-noncoding RNA (lncRNA) is associated with cardiovascular disease, but its molecular mechanism is still unclear. In this study, we explored the role of lncRNA ANRIL in ox-LDL-induced phenotypic transition of human aortic smooth muscle cells (HASMC). The results of quantitative fluorescence PCR showed that the expression of ANRIL in patients with coronary atherosclerotic heart disease (CAD) was significantly higher than that in normal subjects. RNA-FISH detection showed that the ANRIL expression increased in HASMC treated by ox-LDL. Ox-LDL could upregulate the expression of ANRIL and ROS and promote the phenotypic transition of HASMC. After downregulation of ANRIL by siRNA, ROS level decreased and HASMC phenotypic transition alleviated. ANRIL could act as a molecular scaffold to promote the binding of WDR5 and HDAC3 to form WDR5 and HDAC3 complexes, they regulated target genes such as NOX1 expression by histone modification, upregulated ROS level and promote HASMC phenotype transition. Therefore, we found a new epigenetic regulatory mechanism for phenotype transition of VSMC, ANRIL was a treatment target of occlusive vascular diseases.

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Multimedia-based ontology construction and reasoning have recently been recognized as two important issues in video search, particularly for bridging semantic gap. The lack of coincidence between low-level features and user expectation makes concept-based ontology reasoning an attractive midlevel framework for interpreting high-level semantics. In this paper, we propose a novel model, namely ontology-enriched semantic space (OSS), to provide a computable platform for modeling and reasoning concepts in a linear space. OSS enlightens the possibility of answering conceptual questions such as a high coverage of semantic space with minimal set of concepts, and the set of concepts to be developed for video search. More importantly, the query-to-concept mapping can be more reasonably conducted by guaranteeing the uniform and consistent comparison of concept scores for video search. We explore OSS for several tasks including conceptbased video search, word sense disambiguation and multimodality fusion. Our empirical findings show that OSS is a feasible solution to timely issues such as the measurement of concept combination and query-concept dependent fusion.

MicroRNAs (miRNAs) are involved in the maintenance of the cancer stem cell (CSC) phenotype by binding to genes and proteins that modulate cell proliferation and/or cell apoptosis. In our study, we aimed to investigate the role of miR-1305 in the proliferation and self-renewal of liver CSCs (LCSCs) via the ubiquitin-conjugating enzyme E2T (UBE2T)-mediated Akt-signaling pathway. Differentially expressed genes in human hepatocellular carcinoma (HCC) were obtained by in silico analysis. The relationship between miR-1305 and UBE2T was verified by dual luciferase reporter gene assay. qRT-PCR and western blot analysis were performed to determine the expression of UBE2T, the Akt-signaling pathway, and stemness-related factors in LCSCs. In addition, miR-1305 disrupted the activation of the Akt-signaling pathway by targeting UBE2T, and, ultimately, it repressed the sphere formation, colony formation, and proliferation, as well as tumorigenicity of LCSCs. In summary, miR-1305 targeted UBE2T to inhibit the Akt-signaling pathway, thereby suppressing the self-renewal and tumorigenicity of LCSCs. Those findings may provide an enhanced understanding of miR-1305 as a therapeutic target to limit the progression of LCSCs.