Participatory Management for Cultural Heritage: Social Media and Chinese Urban Landscape

Community participation plays a core role in sustainable urban development and inclusive cultural heritage management [1, 2]. Despite the broad attention on the World Heritage Property management in China, little research has been done on systematically reviewing the practices of community participation within Chinese cultural heritage, nor defining the role of social media played in it. To fill this research gap, this paper aims to explore how social media can contribute to community engagement and further influence sustainable cultural heritage management by providing a systematic literature review. Based on the evolving definition of community participation from the Historic Urban Landscape approach, this work starts with a review on the conceptualization of community participation. This article continues with a discussion on the role of the community played in participatory management. Following that, the argument is mainly concerning that social media is one of the vital tools to engage a wider range of audiences in conservation practices. To conclude, online urban heritage practices offer a platform for local citizens, especially grassroots, to collaborate with heritage institutions and professionals. Social media practices, such as mapping, may have a wider resonance when they combine broader communication and collaboration methods

In AI we trust? Perceptions about automated decision-making by artificial intelligence

Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence, decision-making in contemporary societies is increasingly delegated to automated processes. Drawing from social science theories and from the emerging body of research about algorithmic appreciation and algorithmic perceptions, the current study explores the extent to which personal characteristics can be linked to perceptions of automated decision-making by AI, and the boundary conditions of these perceptions, namely the extent to which such perceptions differ across media, (public) health, and judicial contexts. Data from a scenario-based survey experiment with a national sample (N = 958) show that people are by and large concerned about risks and have mixed opinions about fairness and usefulness of automated decision-making at a societal level, with general attitudes influenced by individual characteristics. Interestingly, decisions taken automatically by AI were often evaluated on par or even better than human experts for specific decisions. Theoretical and societal implications about these findings are discussed

Osteosarcoma Development and Stem Cell Differentiation

Osteosarcoma is the most common nonhematologic malignancy of bone in children and adults. The peak incidence occurs in the second decade of life, with a smaller peak after age 50. Osteosarcoma typically arises around the growth plate of long bones. Most osteosarcoma tumors are of high grade and tend to develop pulmonary metastases. Despite clinical improvements, patients with metastatic or recurrent diseases have a poor prognosis. Here, we reviewed the current understanding of human osteosarcoma, with an emphasis on potential links between defective osteogenic differentiation and bone tumorigenesis. Existing data indicate osteosarcoma tumors display a broad range of genetic and molecular alterations, including the gains, losses, or arrangements of chromosomal regions, inactivation of tumor suppressor genes, and the deregulation of major signaling pathways. However, except for p53 and/or RB mutations, most alterations are not constantly detected in the majority of osteosarcoma tumors. With a rapid expansion of our knowledge about stem cell biology, emerging evidence suggests osteosarcoma should be regarded as a differentiation disease caused by genetic and epigenetic changes that interrupt osteoblast differentiation from mesenchymal stem cells. Understanding the molecular pathogenesis of human osteosarcoma could ultimately lead to the development of diagnostic and prognostic markers, as well as targeted therapeutics for osteosarcoma patients