2,594 research outputs found

    A SELF-REFLECTIVE INVERSE DEMAND SYSTEM

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    This paper introduces an inverse differential demand system that has exactly the same form as the corresponding direct version. Its application is illustrated with the case of Australian fruit, whose prices were substantially affected by Severe Tropical Cyclone Larry in 2006.

    Neural Analogical Matching

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    Analogy is core to human cognition. It allows us to solve problems based on prior experience, it governs the way we conceptualize new information, and it even influences our visual perception. The importance of analogy to humans has made it an active area of research in the broader field of artificial intelligence, resulting in data-efficient models that learn and reason in human-like ways. While cognitive perspectives of analogy and deep learning have generally been studied independently of one another, the integration of the two lines of research is a promising step towards more robust and efficient learning techniques. As part of a growing body of research on such an integration, we introduce the Analogical Matching Network: a neural architecture that learns to produce analogies between structured, symbolic representations that are largely consistent with the principles of Structure-Mapping Theory.Comment: AAAI versio

    Sabbath and Sunday Observance in the Early Church

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    Investigations into the Microbial Ecology and Limnology of Hyrum Reservoir, in Northern Utah

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    A series of preliminary investigations was carried out to determine the factors promoting the dense, late summer waterblooms of Aphanizomenon flos-aguae in Hyrum Reservoir in northern Utah. Attempts were made to culture the Aphanizomenon in the ASM-8a medium of O\u27Flaherty and Phinney (J. Phycol. 6:95-97. 1970), but no growth was obtained and the algae soon lysed. Cultures were maintained, without growth, for more than four months in a lake water--lake sediment medium at 17 C under 1500 lux flourescent light. Dissolved oxygen measurements using an in situ probe revealed the development of a sharp oxycline during the summer months; on one day the dissolved oxygen concentration was observed to drop from 118% saturation (8.6 mg O2/1) at 6.5 meters depth, to 33% saturation (2.4 mg O2/l) at 7 meters, with a concurrent temperature decrease from 21.5 C to 21 C. During the same period, pH was found to drop from 8.6 at the surface to 8.5 at 5 meters, 8.0 at 10 meters, and to 7.8 at the bottom (16 meters). Secchi disc depth corresponded to 14% of the incident radiation, this depth varying from l.3 to l.8 meters during the algal bloom. The photic zone (1% of incident radiation) extended to 3.5 meters depth. Water samples were collected from late April until early October , and these were analyzed for total organic carbon (TOC) using a Beckman model 915 total organic carbon analyzer. The organic carbon concentrations were found not to vary significantly with season or location. Many of the samples contained large numbers of Aphanizomenon but carbon analyses did not reflect this. It was concluded that the phytoplankton carbon in the reservoir was so much smaller than the carbon in the form of other organic materials, such as microseston, bacteria, detritus, colloids, and dissolved material, that fluctuations in algal carbon were therefore masked by the large amount of carbon continually present in these other forms. The mean organic carbon concentration for the lake was 4.6 mg/1 (n=118, s=1.47) and the range was from 1.2 to 8.9 mg TOC/1. The repeatability of measurements with the carbon analyzer is only within a range of 2 mg C/1, so the instrument is not sufficiently accurate for lake water analysis without the use of concentration techniques. Some trends were observed, but only at a l ow level of statistical significance: TOC concentration decreased slightly with depth, and TOC was correlated with stream discharge in the Little Bear River, which feeds the reservoir. An increase in TOC concentration in the reservoir during the algal bloom could not be verified statistically

    Environmental Practice Survey Results

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    The following report outlines some of the initial findings from the preliminary data. Please note that this report is based on data collected so far. Additional surveys and continued analysis will lead to more thorough analysis in the future. Our analysis of the survey is organized in the following mannec General Environment Management, Air Emissions, Paintshop Management, Utility Management, Solid Waste, and Water Pollution. At the end of the document you will find a summary of the major variables, as they average across North American and Japanese plants, along with the performance of your own company. The data on individual company and plant performance is being held strictly confidential
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