Privacy Preserving Utility Mining: A Survey

In big data era, the collected data usually contains rich information and hidden knowledge. Utility-oriented pattern mining and analytics have shown a powerful ability to explore these ubiquitous data, which may be collected from various fields and applications, such as market basket analysis, retail, click-stream analysis, medical analysis, and bioinformatics. However, analysis of these data with sensitive private information raises privacy concerns. To achieve better trade-off between utility maximizing and privacy preserving, Privacy-Preserving Utility Mining (PPUM) has become a critical issue in recent years. In this paper, we provide a comprehensive overview of PPUM. We first present the background of utility mining, privacy-preserving data mining and PPUM, then introduce the related preliminaries and problem formulation of PPUM, as well as some key evaluation criteria for PPUM. In particular, we present and discuss the current state-of-the-art PPUM algorithms, as well as their advantages and deficiencies in detail. Finally, we highlight and discuss some technical challenges and open directions for future research on PPUM.Comment: 2018 IEEE International Conference on Big Data, 10 page

Metaverse in Education: Vision, Opportunities, and Challenges

Traditional education has been updated with the development of information technology in human history. Within big data and cyber-physical systems, the Metaverse has generated strong interest in various applications (e.g., entertainment, business, and cultural travel) over the last decade. As a novel social work idea, the Metaverse consists of many kinds of technologies, e.g., big data, interaction, artificial intelligence, game design, Internet computing, Internet of Things, and blockchain. It is foreseeable that the usage of Metaverse will contribute to educational development. However, the architectures of the Metaverse in education are not yet mature enough. There are many questions we should address for the Metaverse in education. To this end, this paper aims to provide a systematic literature review of Metaverse in education. This paper is a comprehensive survey of the Metaverse in education, with a focus on current technologies, challenges, opportunities, and future directions. First, we present a brief overview of the Metaverse in education, as well as the motivation behind its integration. Then, we survey some important characteristics for the Metaverse in education, including the personal teaching environment and the personal learning environment. Next, we envisage what variations of this combination will bring to education in the future and discuss their strengths and weaknesses. We also review the state-of-the-art case studies (including technical companies and educational institutions) for Metaverse in education. Finally, we point out several challenges and issues in this promising area.Comment: IEEE BigData 2022. 10 pages, 5 figures, 3 table

Primary Splenic Lymphoma Associated with Hemophagocytic Lymphohistiocytosis Complicated with Splenic Rupture

Primary splenic lymphoma (PSL) is a rare disease with ambiguous definition, comprising less than 1% of non-Hodgkin's lymphoma. Even rarer is PSL combined with hemophagocytic lymphohistiocytosis (HLH), which has presentations of fever, cytopenia, hepatosplenomegaly, hyperferritinemia, and phagocytosis of hematopoietic cells in the reticuloendothe-lial system. We report the case of a 77-year-old man who presented with HLH initially. Refusing diagnostic splenectomy, he received chemotherapy. Spontaneous splenic rupture occurred after chemotherapy. In the following emergency operation, PSL was diagnosed. He received another 5 courses of chemotherapy with the R-CNOP regimen (rituximab, cyclophosphamide, mitoxantrone, vincristine, prednisolone). Now he has no residual or relapsed disease. Diagnostic splenectomy for adult HLH patients without definite etiologies may play an important role. [J Chin Med Assoc 2008;71(4):210–213