Tree-child networks are one of the most prominent network classes for modeling evolutionary processes which contain reticulation events. Several recent studies have addressed counting questions for bicombining tree-child networks which are tree-child networks with every reticulation node having exactly two parents. In this paper, we extend these studies to d-combining tree-child networks where every reticulation node has now d ≥ 2 parents. Moreover, we also give results and conjectures on the distributional behavior of the number of reticulation nodes of a network which is drawn uniformly at random from the set of all tree-child networks with the same number of leaves.

Taiwan is a mountainous and geologically active country with but land resource for residential development is limited. Under a crowded population pressure, the use of land resources is often overrun. Many hillside had been improperly developed. It causes significant impact on natural environment and the people's lives and property. This paper proposed to use the archival images of the Formosat-II satellite in the last nine years to explore the high landslide vulnerability areas. Susequently, the interpretation results are published on a dedicated three-dimensional digital platform in the cloud for quick share with peoples concerned. The new procedures are an innovation of a stream-line of image platform and results of image interpretation on an innovated 3d platform. This study shows that landslide prone areas can be effectively detected with simple automated procedures with multi-temporal images. The areas with high activity which requires long-term observation or monitoring can be enhanced and published to the public by the on-line platform.

With the rapid growth of demands of mobile phones, and the advent of third generation technology, accessing Internet via mobile phones is going to become the most promising trend. However, the success of mobile Internet (m-Internet) implementation depends on whether or not individuals are willing to adopt this new technology. Thus, it is necessary for practitioners and academics to explore the factors influencing the acceptance of m-Internet by individuals. By analyzing the data, results indicate that that performance expectancy, effort expectancy, social influence, perceived value and palm-sized computer self-efficacy were significant determinants of behavioural intention to use m-Internet. We also found that gender activities moderate the effects of performance expectancy, effort expectancy and palm-sized computer self-efficacy on m-Internet usage intention. These findings offer several important implications for m-Internet acceptance, in terms of both research and practice.

This study extends the Unified Theory of Acceptance and Use of Technology Model (UTAUT) by adding perceived playfulness, perceived value and palm-sized computer self-efficacy to the UTAUT in order to investigate the factors affecting individual's' m-Internet acceptance and to see if there exists gender differences in the acceptance of m-Internet. Data, gathered from 343 respondents in Taiwan, were tested against the research model using the structural equation modelling approach. The results indicate that that performance expectancy, effort expectancy, social influence, perceived value and palm-sized computer self-efficacy were significant determinants of behavioural intention to use m-Internet.