2,342 research outputs found

    SETI reloaded, Next Generation Radio Telescopes, Transients and Cognitive Computing

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    The Search for Extra-terrestrial Intelligence (SETI) using radio telescopes is an area of research that is now more than 50 years old. Thus far, both targeted and wide-area surveys have yet to detect artificial signals from intelligent civilisations. In this paper, I argue that the incidence of co-existing intelligent and communicating civilisations is probably small in the Milky Way. While this makes successful SETI searches a very difficult pursuit indeed, the huge impact of even a single detection requires us to continue the search. A substantial increase in the overall performance of radio telescopes (and in particular future wide-field instruments such as the Square Kilometre Array, SKA), provide renewed optimism in the field. Evidence for this is already to be seen in the success of SETI researchers in acquiring observations on some of the world's most sensitive radio telescope facilities via open, peer-reviewed processes. The increasing interest in the dynamic radio sky, and our ability to detect new and rapid transient phenomena such as Fast Radio Bursts (FRB) is also greatly encouraging. While the nature of FRBs is not yet fully understood, I argue they are unlikely to be the signature of distant extra-terrestrial civilisations. As astronomers face a data avalanche on all sides, advances made in related areas such as advanced Big Data analytics, and cognitive computing are crucial to enable serendipitous discoveries to be made. In any case, as the era of the SKA fast approaches, the prospects of a SETI detection have never have been better.Comment: 5 pages, 3 figures, Acta Astronautica 201

    No ifs, ands or butts: Illinois casinos lost revenue after smoking banned

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    Gambling industry ; Tobacco industry ; Illinois

    Casino revenue and the Illinois smoking ban

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    Smoking was banned in all Illinois casinos in January 2008. We explore the effects that the smoking ban has had on Illinois casino revenue and attendance. Our empirical methodology extends and enhances that of previous literature in that we observe a natural experiment in comparing the performance of Illinois casinos with out-of-state casinos (no smoking ban) that share a market with Illinois casinos. Estimates suggest that revenue and admissions at Illinois casinos declined by more than 20 percent (400million)and12percent,respectively.Calculationsrevealthatcasinotaxrevenuetostateandlocalgovernmentsdeclinedbyapproximately400 million) and 12 percent, respectively. Calculations reveal that casino tax revenue to state and local governments declined by approximately 200 million.Gambling industry ; Tobacco industry ; Illinois

    Does consumer sentiment predict regional consumption?

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    This paper tests the ability of consumer sentiment to predict retail spending at the state level. The results here suggest that, although there is a significant relationship between sentiment measures and retail sales growth in several states, consumer sentiment exhibits only modest predictive power for future changes of retail spending. Measures of consumer sentiment, however, contain additional explanatory power aside from the information available in other indicators. We also find that by restricting our attention to fluctuations in retail sales that occur at the business cycle frequency we can uncover a significant relationship between consumer sentiment and retail sales growth in many additional states. In light of these results, we conclude that the practical value of sentiment indices to forecast consumer spending at the state level is, at best, limited.Consumer behavior ; Consumption (Economics) ; Economic indicators

    Visualizing classification of natural video sequences using sparse, hierarchical models of cortex.

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    Recent work on hierarchical models of visual cortex has reported state-of-the-art accuracy on whole-scene labeling using natural still imagery. This raises the question of whether the reported accuracy may be due to the sophisticated, non-biological back-end supervised classifiers typically used (support vector machines) and/or the limited number of images used in these experiments. In particular, is the model classifying features from the object or the background? Previous work (Landecker, Brumby, et al., COSYNE 2010) proposed tracing the spatial support of a classifier’s decision back through a hierarchical cortical model to determine which parts of the image contributed to the classification, compared to the positions of objects in the scene. In this way, we can go beyond standard measures of accuracy to provide tools for visualizing and analyzing high-level object classification. We now describe new work exploring the extension of these ideas to detection of objects in video sequences of natural scenes

    MicroRNAs sound off

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    The message is loud and clear. MicroRNA-96, one in a cluster of three related neurosensory microRNAs, is crucial to the development and maintenance of inner ear hair cells and hearing in mice and humans. Two recent studies show that mutations in the critical seed region of the microRNA underlie the cause of hair cell degeneration and progressive hearing loss. Other recent reports reveal the general requirement of microRNAs for sensory epithelial development and maintenance in Dicer knockout mouse ear. The challenge begins to determine whether microRNAs will resonate as therapeutic agents or target molecules to preserve or restore hearing
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