180,932 research outputs found

    FIGURES 17A–R. Chilicola aenigma Packer, n in Fifteen new species of Chilicola (Hymenoptera: Apoidea; Colletidae)

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    FIGURES 17A–R. Chilicola aenigma Packer, n. sp. Head of male: A. frontal view, B. lateral view. Head of female: C. lateral view, D. frontal view. E. male pronotum. F. Male hind femur and tibia. G. Female hind femur and tibia. H. Male T6, T7 and apex of S6. I. Lateral view of male metasomal venter. J–M. Male terminalia. J. S7. K. S8. L. genital capsule, dorsal views are at the left. M. Genital capsule, lateral view. N–R. Sting apparatus of female: N. hemitergite 7, O. hemitergite 8, P–Q. Furcula, dorsal and lateral views respectively. R. First and second valvifer with sting shaft. Stippling in A and B indicates pale colouration, in R a membranous region.Published as part of Packer, Laurence & Genaro, Julio A., 2007, Fifteen new species of Chilicola (Hymenoptera: Apoidea; Colletidae), pp. 1-55 in Zootaxa 1468 on page 53, DOI: 10.5281/zenodo.17662

    An on-line algorithm for semantic forgetting

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    Ontologies that evolve through use to support new domain tasks can grow extremely large. Moreover, large ontologies require more resources to use and have slower response times than small ones. To help address this problem, we present an on-line semantic forgetting algorithm that removes ontology fragments containing infrequently used or cheap to relearn concepts. We situate our algorithm in an extension of the widely used RoboCup Rescue platform, which provides simulated tasks to agents. We show that our agents send fewer messages and complete more tasks, and thus achieve a greater degree of success, than other state-of-the-art approaches

    Forgetting Fragments from Evolving Ontologies

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    Ontologies underpin the semantic web; they define the concepts and their relationships contained in a data source. An increasing number of ontologies are available on-line, but an ontology that combines information from many different sources can grow extremely large. As an ontology grows larger, more resources are required to use it, and its response time becomes slower. Thus, we present and evaluate an on-line approach that forgets fragments from an OWL ontology that are infrequently or no longer used, or are cheap to relearn, in terms of time and resources. In order to evaluate our approach, we situate it in a controlled simulation environment, RoboCup OWLRescue, which is an extension of the widely used RoboCup Rescue platform, which enables agents to build ontologies automatically based on the tasks they are required to perform. We benchmark our approach against other comparable techniques and show that agents using our approach spend less time forgetting concepts from their ontology, allowing them to spend more time deliberating their actions, to achieve a higher average score in the simulation environment

    MARKET POWER IN BEEF PACKING: FEEDLOT "CAPTURE" AND ITS CAUSES

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    Concentration in the beef packing industry has been rising for the past 25 years. Many studies of market power in beef packing are based on the conjectural variations framework, which depends on accurate estimates of packer input and processing costs. We propose an alternative measure of packer behavior which does not rely on estimates of packer costs. We also suggest how this measure could be used to draw tentative conclusions regarding packer behavior.Agribusiness, Marketing,

    Cotton Packer.

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    Patent for an automatic cotton packer that provides a new method to packing cotton. This mechanism can be controlled automatically or by hand. As the cotton leaves the gin, it is packed automatically

    Energy Classification of a Shrinkwrap-packer

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    Since some years, European companies are interested in the issue of energy saving. In such context, a classification of industrial machines from the energetic point of view is becoming more and more important; currently, in the industrial context, no similar classifications exist. The aim of this work is to formulate a standard method to evaluate the energy performance of an industrial machine, such as a shrinkwrap-packer. To this purpose, it was studied a shrinkwrap-packer produced by OCME S.r.l, a mechanical machinery company located in Parma (Italy). Specifically, the shrinkwrap-packer was analyzed in terms of energy dissipations. As a result, it is proposed a general procedure that allows to compare different solutions from energy efficiency point of view

    Packer for Silos.

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    Patent for a new packer for silos, "...which may be assembled with any silo of standard construction, to carry out the packing operation" (lines 13-15) including illustrations

    THE EFFECTS OF INDUSTRY STRUCTURE ON PRICE: A CASE IN THE BEEF INDUSTRY

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    This study estimates the influence of concentration and other structural variables on the price of slaughter cattle. Cross-sectional data were used to estimate a single equation model which included, in addition to traditional factor demand variables, packer concentration and a measure of market power exerted by feedlots. Results suggest that packer concentration has had a significant and increasing negative impact on fed cattle prices during the years of analysis, 1972 and 1977.Industrial Organization, Livestock Production/Industries,
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