Increasing Chinese Tourist Gamblers in Macao: Crucial Player Characteristics to Identify and Exploit

Casinos are today considered major tourist attractions and are a strategic component in the development of a tourism destination. Tourist gamblers are an important market segment providing a reliable source of revenue for casinos. It is necessary to understand the characteristics of these gamblers and to design services and products that cater for their needs. In this study a survey of 402 Chinese tourist gamblers indicated that they have distinctive characteristics, gambling motivations, behaviors and preferences that must be considered and catered to for depth of understanding and devising ways to attract, keep and increase these important customers. Management and marketing implications for local casino operators and destination marketers are drawn

Design and Experiments with a Low-Cost Single-Motor Modular Aquatic Robot

We present a novel design for a low-cost robotic boat powered by a single actuator, useful for both modular and swarming applications. The boat uses the conservation of angular momentum and passive flippers to convert the motion of a single motor into an adjustable paddling motion for propulsion and steering. We develop design criteria for modularity and swarming and present a prototype implementing these criteria. We identify significant mechanical sensitivities with the presented design, theorize about the cause of the sensitivities, and present an improved design for future work.Comment: Accepted to the International Conference on Ubiquitous Robots (UR 2020). 8 page

A study of occupational health : disclosing homosexuality in the workplace

In this study, the associations among disclosing homosexuality, discrimination and occupational health was examined, as well as the associations among disclosing homosexuality, workplace sexual identity management strategies and occupational health. It is aimed to investigating whether discrimination serves as a moderator between disclosing homosexuality and occupational health, plus whether workplace sexual identity management strategies serves as a mediator between disclosing homosexuality and occupational health. In total, 225 gays and lesbians full-time workers in Hong Kong were participated in this study through completing an online questionnaire. Results showed that discrimination serves as a moderator between disclosure and job satisfaction, and workplace sexual identity management strategies serves as a mediator between disclosure and emotional exhaustion as well as depressive symptoms. Implications and limitations of this study were discussed

Optimal Timer Based Selection Schemes

Timer-based mechanisms are often used to help a given (sink) node select the best helper node among many available nodes. Specifically, a node transmits a packet when its timer expires, and the timer value is a monotone non-increasing function of its local suitability metric. The best node is selected successfully if no other node's timer expires within a 'vulnerability' window after its timer expiry, and so long as the sink can hear the available nodes. In this paper, we show that the optimal metric-to-timer mapping that (i) maximizes the probability of success or (ii) minimizes the average selection time subject to a minimum constraint on the probability of success, maps the metric into a set of discrete timer values. We specify, in closed-form, the optimal scheme as a function of the maximum selection duration, the vulnerability window, and the number of nodes. An asymptotic characterization of the optimal scheme turns out to be elegant and insightful. For any probability distribution function of the metric, the optimal scheme is scalable, distributed, and performs much better than the popular inverse metric timer mapping. It even compares favorably with splitting-based selection, when the latter's feedback overhead is accounted for.Comment: 21 pages, 6 figures, 1 table, submitted to IEEE Transactions on Communications, uses stackrel.st

A comparison of corporate distress prediction models in Brazil: hybrid neural networks, logit models and discriminant analysis

This paper looks at the ability of a relatively new technique, hybrid ANN's, to predict corporate distress in Brazil. These models are compared with traditional statistical techniques and conventional ANN models. The results suggest that hybrid neural networks outperform all other models in predicting firms in financial distress one year prior to the event. This suggests that for researchers, policymakers and others interested in early warning systems, hybrid networks may be a useful tool for predicting firm failure.hybrid neural networks, corporate failures