OBJECTIVES To evaluate short-term effects of publishing revised lower risk national drinking guidelines on related awareness and knowledge. To examine where drinkers heard about guidelines over the same period. DESIGN Trend analysis of the Alcohol Toolkit Study, a monthly repeat cross-sectional national survey. SETTING England, November 2015 to May 2016. PARTICIPANTS A total of 11 845 adu...

The global cyberspace networks provide individuals with platforms to can interact, exchange ideas, share information, provide social support, conduct business, create artistic media, play games, engage in political discussions, and many more. The term cyberspace has become a conventional means to describe anything associated with the Internet and the diverse Internet culture. In fact, cyberspac...

Over the past few years, weblogs have emerged as a new communication and publication medium on the Internet. In this paper, we describe the application of data mining, information extraction and NLP algorithms for discovering trends across our subset of approximately 100,000 weblogs. We publish daily lists of key persons, key phrases, and key paragraphs to a public web site, BlogPulse.com. In a...

The speed of evolution, measured by the number of mutations over a fixed number of years, varies greatly in various branches of the evolutionary tree. This paper proposes an evolutionary trend discovery algorithm that reveals the distinguishing characteristics of any branch of the evolutionary tree. The evolutionary trend discovery algorithm is designed to work with either fossil-based data or ...

Inter-city transportation plays an important role in modern cities, and has accumulated massive spatio-temporal data from various sensors by IoT (Internet of things) technologies. Travel characteristics future trends highway behind are valuable for traffic guidance personalized service. As a routine domain analysis, trend discovery drivers faces challenges processing efficiency predictive accur...

Evolutionary learning is one of the most popular techniques for designing quantitative investment (QI) products. Trend following (TF) strategies, owing to their briefness and efficiency, are widely accepted by investors. Surprisingly, to the best of our knowledge, no related research has investigated TF investment strategies within an evolutionary learning model. This paper proposes a hybrid lo...