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This research paper examines the post-military landscape of the Victoria Barracks regarding the high-density urbanism in Hong Kong from the 1970s to the 2000s. The article first interprets the concept of post-military landscape according to the ideology and urbanism of the then Hong Kong society. It then studies three plans of the Victoria Barracks of different stages, showing contestations between domestic, commercial and administrative powers in controlling the military redevelopment. Several contemporary architectural projects on the site will also provide an alternative view of the transformation according to the local economic laissez-faire policy. Its influence to the unsatisfactory heritage protection leads to the disappearance and false representation of the identity of this particular military and cultural heritage.

In 2002, an issue of Open House International had already addressed the subject of war and the city. Scholars with different backgrounds and experiences reported on a number of cities. They analysed and reflected on the situation before the armed hostilities, both in physical terms and in terms of the conflicts of ethnic and civilian character, and the role of external forces and actors; the war in its different manifestations: a never ending conflict, a succession of battles and precarious truces, bombing, the threat of bombing; and the prospects of reconstruction, with particular reference to the different effects for the various groups and interests.

As the primary target of the school reform movement, urban education remains the most difficult to assess and repair. Indeed, the crisis evident in urban school systems mirrors many of the problems found in big cities themselves — poor economic conditions for schools and families, personnel shortages and high turnover rates, improper facilities and materials, and political struggles over issues of structure and control. This book analyzes the problems effecting urban schools and their students and some of the efforts that have been developed to make these schools more accountable and effective.

Sharing project information is critical for the success of medical crowdfunding campaigns. However, few users share medical crowdfunding projects on their social networks, and the sharing behavior of medical crowdfunding projects on social networking sites has not been well studied. Therefore, this study explored the factors and potential mechanisms influencing users’ sharing behaviors on networking sites.

A research model was developed based on the attribution-affect model of helping and social capital theory. Data were collected using a longitudinal survey. Partial least squares structural equation modeling was used to analyze the collected data. We conducted post hoc analyses to validate the results of the quantitative analysis.

The analysis results verified the effects of perceived external attribution, perceived uncontrollable attributions, and perceived unstable attributions on sympathy and identified the effect of sympathy and social characteristics of medical crowdfunding users on sharing behavior.

This research provides a comprehensive theoretical understanding of users’ sharing behavior characteristics and provides implications for enhancing the efficiency of medical crowdfunding activities.

The purpose of this study is to examine tacit knowledge sharing within information systems development (ISD) projects by exploring the combination of social interdependence theory and regulatory focus theory (RFT).

A survey was conducted on 198 ISD professionals to investigate the effect of social interdependence on tacit knowledge sharing. The survey data were analyzed using partial least squares structural equation modeling (PLS-SEM), and the results were discussed.

This study reveals that team members tend to share tacit knowledge in a way characterized by cooperative interdependence, and different patterns of social interdependence have an impact on tacit knowledge sharing. The RFT explains the disparities in attitude toward tacit knowledge sharing. Specifically, individuals with a prevention-focused orientation positively moderate the impact of competitive interdependence on tacit knowledge sharing, while those with a promotion-focused orientation have a negative moderating effect on the effect of competitive interdependence on tacit knowledge sharing. Moreover, promotion-focused individuals negatively moderate the effect of cooperative interdependence on tacit knowledge sharing.

The study identifies important aspects of social interdependence in ISD projects that affect the management of tacit knowledge. Furthermore, the study shows that the influence of cooperative and competitive interdependence on tacit knowledge sharing is moderated by the regulatory focus of an individual, providing new insights into ISD knowledge management.

This study aims to develop and test a new research model of consumer response to celebrity transgression. It examines the effects of celebrity past transgression and philanthropic histories in influencing consumer acceptance (i.e. forgiveness and blame) of a single celebrity transgression behavior and the subsequent endorsement potential of the transgressed celebrity. It also examines consumer acceptance of celebrity transgressions from the gender perspective.

By using real celebrities, this study conducted a 2 (transgression history: high vs low) × 2 (philanthropic history: high vs low) × 2 (celebrity gender: male vs female) between-subject online experiment with 823 US young adults.

Results showed that forgiving (blaming) the transgressed celebrity was positively (negatively) associated with the celebrity’s endorsement potential. Transgression history had a significantly negative indirect effect on endorsement potential via its negative effect on forgiveness and positive effect on blame. Philanthropic history mitigated the negative indirect effect of transgression history on endorsement potential only for male celebrities, not female celebrities.

This study contributes to the current human brand and celebrity transgression literature and fills the research gap by using real male and female celebrities to incorporate the real history of celebrities as determinants of consumer judgment of celebrity transgression. This study also makes its unique contributions by focusing on the celebrity-related outcomes and demonstrating the moderating roles of past philanthropic behaviors and celebrity gender for their potential to mitigate the negative effects of transgression history on consumer responses to a single transgression.

This paper aims to save time spent on manufacturing the data set and make the intelligent grasping system easy to deploy into a practical industrial environment. Due to the accuracy and robustness of the convolutional neural network, the success rate of the gripping operation reached a high level.

The proposed system comprises two diverse kinds of convolutional neuron network (CNN) algorithms used in different stages and a binocular eye-in-hand system on the end effector, which detects the position and orientation of workpiece. Both algorithms are trained by the data sets containing images and annotations, which are generated automatically by the proposed method.

The approach can be successfully applied to standard position-controlled robots common in the industry. The algorithm performs excellently in terms of elapsed time. Procession of a 256 × 256 image spends less than 0.1 s without relying on high-performance GPUs. The approach is validated in a series of grasping experiments. This method frees workers from monotonous work and improves factory productivity.

The authors propose a novel neural network whose performance is tested to be excellent. Moreover, experimental results demonstrate that the proposed second level is extraordinary robust subject to environmental variations. The data sets are generated automatically which saves time spent on manufacturing the data set and makes the intelligent grasping system easy to deploy into a practical industrial environment. Due to the accuracy and robustness of the convolutional neural network, the success rate of the gripping operation reached a high level.