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Full-Text Articles in Nature and Society Relations
Research On Climate Change In Social Psychology Publications: A Systematic Review, Kim-Pong Kam, Angela K. Y. Leung, Susan Clayton
Research On Climate Change In Social Psychology Publications: A Systematic Review, Kim-Pong Kam, Angela K. Y. Leung, Susan Clayton
Research Collection School of Social Sciences
There is a strong scientific consensus that anthropogenic climate change is happening and that its impacts can put both ecological and human systems in jeopardy. Social psychology, the scientific study of human behaviours in their social and cultural settings, is an important tool for understanding how humans interpret and respond to climate change. In this article, we offered a systematic review of the social psychological literature of climate change. We sampled 130 studies on climate change or global warming from 80 articles published in journals indexed under the “Psychology, social” category of Journal Citation Reports. Based on this sample, …
Hospital To Home: Interoperability In The Health Ecosystem, Francis Puno
Hospital To Home: Interoperability In The Health Ecosystem, Francis Puno
Asian Management Insights
Mobile health solutions have created a revolution in the global healthcare ecosystem.
A Hidden Markov Model For Earthquake Declustering, Zhengxiao Wu
A Hidden Markov Model For Earthquake Declustering, Zhengxiao Wu
Research Collection School of Economics
The hidden Markov model (HMM) and related algorithms provide a powerful framework for statistical inference on partially observed stochastic processes. HMMs have been successfully implemented in many disciplines, though not as widely applied as they should be in earthquake modeling. In this article, a simple HMM earthquake occurrence model is proposed. Its performance in declustering is compared with the epidemic-type aftershock sequence model, using a data set of the central and western regions of Japan. The earthquake clusters and the single earthquakes separated using our model show some interesting geophysical differences. In particular, the log-linear Gutenberg-Richter frequency-magnitude law (G-R law) …
A Cluster Identification Framework Illustrated By A Filtering Model For Earthquake Occurrences, Zhengxiao Wu
A Cluster Identification Framework Illustrated By A Filtering Model For Earthquake Occurrences, Zhengxiao Wu
Research Collection School of Economics
A general dynamical cluster identification framework including both modeling and computation is developed.The earthquake declustering problem is studied to demonstrate how this framework applies.A stochastic model is proposed for earthquake occurrences that considers the sequence of occurrencesas composed of two parts: earthquake clusters and single earthquakes. We suggest that earthquake clusterscontain a “mother quake” and her “offspring.” Applying the filtering techniques, we use the solution offiltering equations as criteria for declustering. A procedure for calculating maximum likelihood estimations(MLE’s) and the most likely cluster sequence is also presented.