Hong Kong Baptist University

About: Hong Kong Baptist University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: China & Population. The organization has 7811 authors who have published 18919 publications receiving 555274 citations. The organization is also known as: Hong Kong Baptist College & HKBU.

Social collaborative filtering by trust

Abstract: To accurately and actively provide users with their potentially interested information or services is the main task of a recommender system. Collaborative filtering is one of the most widely adopted recommender algorithms, whereas it is suffering the issues of data sparsity and cold start that will severely degrade quality of recommendations. To address such issues, this article proposes a novel method, trying to improve the performance of collaborative filtering recommendation by means of elaborately integrating twofold sparse information, the conventional rating data given by users and the social trust network among the same users. It is a model-based method adopting matrix factorization technique to map users into low-dimensional latent feature spaces in terms of their trust relationship, aiming to reflect users' reciprocal influence on their own opinions more reasonably. The validations against a real-world dataset show that the proposed method performs much better than state-of-the-art recommendation algorithms for social collaborative filtering by trust.

Media on the Move : Global Flow and Contra-Flow

Abstract: Part I: Contextualising Contra-Flow 1. Mapping Global Flow and Contra-Flow 2. Diasporas and Contra-Flows Beyond National Centricism 3. Thinking Through Contra-flows: Perspectives from Post-colonial and Transnational Cultural Studies Part II: The Non-Western Media in Motion 4. Contra-Flow or the Cultural Logic of Uneven Globalization: Japanese Media in the Global Agora 5. Bollywood and the Frictions of Global Mobility 6. Brazil and the Globalization of Telenovelas 7. Challenger or Lackey? The Politics of News on al-Jazeera Part III: Regional Perspectives on Flow and Contra-Flow 8. The Rising Korean 'Wave': Korean Media Go Global 9. South Africa as a Regional Media Power 10. Flows and Contra-Flows in Transitional Societies 11. Facing the Challenge of Global Competition: Chinese News in Transition Part IV: Moving Media - From the Margins to the Mainstream? 12. Alternative Re-Framing of Mainstream Media Frames 13. Transnational Feminism and the Revolutionary Association of the Women of Afghanistan 14. The Islamic Internet: Authority, Authenticity and Reform

Artemisinin compounds sensitize cancer cells to ferroptosis by regulating iron homeostasis

Abstract: The antimalarial drug artemisinin and its derivatives have been explored as potential anticancer agents, but their underlying mechanisms are controversial. In this study, we found that artemisinin compounds can sensitize cancer cells to ferroptosis, a new form of programmed cell death driven by iron-dependent lipid peroxidation. Mechanistically, dihydroartemisinin (DAT) can induce lysosomal degradation of ferritin in an autophagy-independent manner, increasing the cellular free iron level and causing cells to become more sensitive to ferroptosis. Further, by associating with cellular free iron and thus stimulating the binding of iron-regulatory proteins (IRPs) with mRNA molecules containing iron-responsive element (IRE) sequences, DAT impinges on IRP/IRE-controlled iron homeostasis to further increase cellular free iron. Importantly, in both in vitro and a mouse xenograft model in which ferroptosis was triggered in cancer cells by the inducible knockout of GPX4, we found that DAT can augment GPX4 inhibition-induced ferroptosis in a cohort of cancer cells that are otherwise highly resistant to ferroptosis. Collectively, artemisinin compounds can sensitize cells to ferroptosis by regulating cellular iron homeostasis. Our findings can be exploited clinically to enhance the effect of future ferroptosis-inducing cancer therapies.

Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking

Abstract: Visual tracking using multiple features has been proved as a robust approach because features could complement each other. Since different types of variations such as illumination, occlusion, and pose may occur in a video sequence, especially long sequence videos, how to properly select and fuse appropriate features has become one of the key problems in this approach. To address this issue, this paper proposes a new joint sparse representation model for robust feature-level fusion. The proposed method dynamically removes unreliable features to be fused for tracking by using the advantages of sparse representation. In order to capture the non-linear similarity of features, we extend the proposed method into a general kernelized framework, which is able to perform feature fusion on various kernel spaces. As a result, robust tracking performance is obtained. Both the qualitative and quantitative experimental results on publicly available videos show that the proposed method outperforms both sparse representation-based and fusion based-trackers.