311 research outputs found

    Further New Records of Coleoptera and Other Insects from Wisconsin

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    Specimens of eleven different species of insects, representing seven separate families of Coleoptera, and one family each of Hemiptera, Lepidoptera, Diptera, and Hymenoptera, are herein reported as new to Wisconsin. These genera or species occur respectively within the following families: Leiodidae, Monotomidae, Cucujidae, Cryptophagidae, Ciidae, Tetratomidae, Curculionidae, Pentatomidae, Glyphipterigidae, Phoridae, and Pteromalidae. All but one of these insects were collected at or near the author’s residence (Dane County); the pentatomid was taken in northern Wisconsin (Oconto County). Three of the four non-coleopteran fauna are introduced species

    Further New Records of Coleoptera and Other Insects from Wisconsin

    Get PDF
    Specimens of eleven different species of insects, representing seven separate families of Coleoptera, and one family each of Hemiptera, Lepidoptera, Diptera, and Hymenoptera, are herein reported as new to Wisconsin. These genera or species occur respectively within the following families: Leiodidae, Monotomidae, Cucujidae, Cryptophagidae, Ciidae, Tetratomidae, Curculionidae, Pentatomidae, Glyphipterigidae, Phoridae, and Pteromalidae. All but one of these insects were collected at or near the author’s residence (Dane County); the pentatomid was taken in northern Wisconsin (Oconto County). Three of the four non-coleopteran fauna are introduced species

    Two New Coleopteran Records from Wisconsin

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    Specimens of two different species of beetles, representing that many separate families of Coleoptera, are herein reported as new to Wisconsin. These species occur respectively within the following families: Zopheridae and Trogossitidae

    Методические особенности управления туристскими потоками в регионе (на примере Автономной Республики Крым)

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    Экономическая жизнь, начиная от простых жителей сел и городов, до экономики полуострова в целом зависит от количества туристов, приехавших в Крым на отдых и лечениеЕкономічне життя, починаючи від простих мешканців сіл і міст, до економіки півострова в цілому залежить від кількості туристів, що приїхали до Криму на відпочинок і лікуванн

    A splitting approach for the fully nonlinear and weakly dispersive Green-Naghdi model

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    The fully nonlinear and weakly dispersive Green-Naghdi model for shallow water waves of large amplitude is studied. The original model is first recast under a new formulation more suitable for numerical resolution. An hybrid finite volume and finite difference splitting approach is then proposed. The hyperbolic part of the equations is handled with a high-order finite volume scheme allowing for breaking waves and dry areas. The dispersive part is treated with a classical finite difference approach. Extensive numerical validations are then performed in one horizontal dimension, relying both on analytical solutions and experimental data. The results show that our approach gives a good account of all the processes of wave transformation in coastal areas: shoaling, wave breaking and run-up

    Modélisation, évaluation et contrôle d'une chaîne de traitement d'images routières

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    ·La mise au point d'une chaîne complète de traitement d'image (CTI) est toujours très délicate. Jusqu'à présent la communauté s'est intéressée à l'évaluation d'algorithmes isolés, sur un petit nombre d'image test et avec un réglage adhoc des paramètres indépendant des données d'entrée. Nous montrons ici comment en combinant la modélisation statistique par plans d'expérience, l'optimisation numérique et l'apprentissage neuronal, on peut élaborer une CTI adaptative performante. Il faut aussi pour cela disposer d'une base d'images conséquente, être capable de caractériser en entrée les images brutes et enfin évaluer les sorties de la CTI. Nous montrons comment, dans le cas d'une CTI dédiée à la détection d'obstacles routiers, cette méthodologie expérimentale et l'architecture logicielle associée, assurent en permanence l'efficacité des traitements. L'explication en est simple: la CTI est optimisée dans sa globalité, à partir d'un grand nombre d'images test réelles et en adaptant les traitements aux données d'entrée

    Numerical simulation of strongly nonlinear and dispersive waves using a Green-Naghdi model

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    We investigate here the ability of a Green-Naghdi model to reproduce strongly nonlinear and dispersive wave propagation. We test in particular the behavior of the new hybrid finite-volume and finite-difference splitting approach recently developed by the authors and collaborators on the challenging benchmark of waves propagating over a submerged bar. Such a configuration requires a model with very good dispersive properties, because of the high-order harmonics generated by topography-induced nonlinear interactions. We thus depart from the aforementioned work and choose to use a new Green-Naghdi system with improved frequency dispersion characteristics. The absence of dry areas also allows us to improve the treatment of the hyperbolic part of the equations. This leads to very satisfying results for the demanding benchmarks under consideration

    Differential functional connectivity underlying asymmetric reward-related activity in human and nonhuman primates

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    The orbitofrontal cortex (OFC) is a key brain region involved in complex cognitive functions such as reward processing and decision making. Neuroimaging studies have reported unilateral OFC response to reward-related variables; however, those studies rarely discussed this observation. Nevertheless, some lesion studies suggest that the left and right OFC contribute differently to cognitive processes. We hypothesized that the OFC asymmetrical response to reward could reflect underlying hemispherical difference in OFC functional connectivity. Using resting-state and reward-related functional MRI data from humans and from rhesus macaques, we first identified an asymmetrical response of the lateral OFC to reward in both species. Crucially, the subregion showing the highest reward-related asymmetry (RRA) overlapped with the region showing the highest functional connectivity asymmetry (FCA). Furthermore, the two types of asymmetries were found to be significantly correlated across individuals. In both species, the right lateral OFC was more connected to the default mode network compared to the left lateral OFC. Altogether, our results suggest a functional specialization of the left and right lateral OFC in primates.</jats:p
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