Self-Organization of Balanced Nodes in Random Networks with Transportation Bandwidths

We apply statistical physics to study the task of resource allocation in random networks with limited bandwidths along the transportation links. The mean-field approach is applicable when the connectivity is sufficiently high. It allows us to derive the resource shortage of a node as a well-defined function of its capacity. For networks with uniformly high connectivity, an efficient profile of the allocated resources is obtained, which exhibits features similar to the Maxwell construction. These results have good agreements with simulations, where nodes self-organize to balance their shortages, forming extensive clusters of nodes interconnected by unsaturated links. The deviations from the mean-field analyses show that nodes are likely to be rich in the locality of gifted neighbors. In scale-free networks, hubs make sacrifice for enhanced balancing of nodes with low connectivity.Comment: 7 pages, 8 figure

The Rise and Fall of the Widely Held Firm - A History of Corporate Ownership in Canada

A panel of corporate ownership data, stretching back to 1902, shows that the Canadian corporate sector began the century with a predominance of large pyramidal corporate groups controlled by wealthy families or individuals. By mid-century, widely held firms predominated. But, from the 1970s on, pyramidal groups controlled by wealthy families and individuals resurge, restoring a situation similar to that a century earlier. Institutional factors underlying this resurgence are shown to have antecedents deep in the country's colonial past.

Newer agents in antiplatelet therapy: a review.

Antiplatelet therapy remains the mainstay in preventing aberrant platelet activation in pathophysiological conditions such as myocardial infarction, ischemia, and stroke. Although there has been significant advancement in antiplatelet therapeutic approaches, aspirin still remains the gold standard treatment in the clinical setting. Limitations in safety, efficacy, and tolerability have precluded many of the antiplatelet inhibitors from use in patients. Unforeseen incidences of increased bleeding risk and recurrent arterial thrombosis observed in patients have hampered the development of superior next generation antiplatelet therapies. The pharmacokinetic and pharmacodynamic profiles have also limited the effectiveness of a number of antiplatelet inhibitors currently in use due to variability in metabolism, time to onset, and reversibility. A focused effort in the development of newer antiplatelet therapies to address some of these shortcomings has resulted in a significant number of potential antiplatelet drugs which target enzymes (phosphodiesterase, cyclooxygenase), receptors (purinergic, prostaglandins, protease-activated receptors, thromboxane), and glycoproteins (αIIbβ3, GPVI, vWF, GPIb) in the platelet. The validation and search for newer antiplatelet therapeutic approaches proven to be superior to aspirin is still ongoing and should yield a better pharmacodynamic profile with fewer untoward side-effects to what is currently in use today

Models of Financial Markets with Extensive Participation Incentives

We consider models of financial markets in which all parties involved find incentives to participate. Strategies are evaluated directly by their virtual wealths. By tuning the price sensitivity and market impact, a phase diagram with several attractor behaviors resembling those of real markets emerge, reflecting the roles played by the arbitrageurs and trendsetters, and including a phase with irregular price trends and positive sums. The positive-sumness of the players' wealths provides participation incentives for them. Evolution and the bid-ask spread provide mechanisms for the gain in wealth of both the players and market-makers. New players survive in the market if the evolutionary rate is sufficiently slow. We test the applicability of the model on real Hang Seng Index data over 20 years. Comparisons with other models show that our model has a superior average performance when applied to real financial data.Comment: 17 pages, 16 figure

Signal Processing on Graphs Using Kron Reduction and Spline Interpolation

In applications such as image processing, the data is given in a regular pattern with a known structure, such as a grid of pixels. However, it is becoming increasingly common for large datasets to have some irregular structure. In image recognition, one of the most successful methods is wavelet analysis, also commonly known as multi-resolution analysis. Our project is to develop and explore this powerful technique in the setting where the data is not stored in the form of a rectangular table with rows and columns of pixels. While the data sets will still have a lot of structure to be exploited, we want to extend the wavelet analysis to the setting when the data structure resembles is more like a network than a rectangular table. Networks provide a flexible generalization of the rigid structure of rectangular tables

Understanding tourists’ policing attitudes and travel intentions towards a destination during an on-going social movement

‘©[2022, Emerald Publishing Limited]. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.Purpose Policing activities aim to provide a safe environment for tourists. With the recent major protests that have erupted around the world, and the novel use of excessive police force against protestors, people may wonder if the policing deployment is for destination safety or to deter tourists from visiting. This paper aims to investigate anti-police and pro-police attitudes and tourists' behavioural responses towards a popular destination experiencing an ongoing social movement. Design/methodology/approach Data were collected between December 2019 and January 2020 (during the social movement). An online survey with a snowball sampling method was adopted to reach international tourists who were aware of the social movement in Hong Kong. Findings The results revealed that an individual with an anti-police attitude was found to be related to cognitive and affective destination images and perceived risks while those holding a pro-police attitude were more concerned with destination images only. No significant correlation was found between attitudes towards policing and travel intention. Originality/value This research presents a first attempt to investigate the relationship between tourists' policing attitudes and their behavioural responses during an ongoing social movement in a popular destination city