3,983 research outputs found
Figure 3 in The strange case of Colophotia miranda Olivier, 1886 (Coleoptera: Lampyridae: Luciolinae)
Figure 3. Genitalia of Colophotia miranda male. A–C) AedeagalPublished as part of Ballantyne, Lesley & Jusoh, Wan F. A., 2021, The strange case of Colophotia miranda Olivier, 1886 (Coleoptera: Lampyridae: Luciolinae), pp. 1-9 in Insecta Mundi 2021 (857) on page 7, DOI: 10.5281/zenodo.504173
Figure 1. Colophotia miranda male. A in The strange case of Colophotia miranda Olivier, 1886 (Coleoptera: Lampyridae: Luciolinae)
Figure 1. Colophotia miranda male. A) Habitus dorsal and ventral with epipleuron arrowed; B) Detail head and pronotum, with arrows at margins of the median elevated area of disc; C) Specimen label; D) Dried specimen before dissection, abdominal ventrites showing actual number of ventrite, with T8, LO situated on V6 and V7. Figure legends: LO – light organ; T8 – tergite 8; V2 – ventrite 2; V5 – ventrite 5; V7 – ventrite 7.Published as part of Ballantyne, Lesley & Jusoh, Wan F. A., 2021, The strange case of Colophotia miranda Olivier, 1886 (Coleoptera: Lampyridae: Luciolinae), pp. 1-9 in Insecta Mundi 2021 (857) on page 5, DOI: 10.5281/zenodo.504173
Figure 2 in The strange case of Colophotia miranda Olivier, 1886 (Coleoptera: Lampyridae: Luciolinae)
Figure 2. Abdomen of Colophotia miranda male. A) V6 and V7, dorsal; B) V6 and V7 ventral with single apical appendage (C), muscle attachments (i, ii, iii) indicated; C) posterior view ventrites uppermost, single apical appendage indicated; D–F) Tergite 8. D – dorsal, E – right lateral (flanges indicated, muscles blocks arrowed), F – ventral (muscles blocks arrowed). Figure legends: LO – light organ; MPP – median posterior projection; PLP – posterolateral projection; T8 – tergite 8; V6 – ventrite 6; V7 – ventrite 7; i, ii, iii – muscle attachments.Published as part of Ballantyne, Lesley & Jusoh, Wan F. A., 2021, The strange case of Colophotia miranda Olivier, 1886 (Coleoptera: Lampyridae: Luciolinae), pp. 1-9 in Insecta Mundi 2021 (857) on page 6, DOI: 10.5281/zenodo.504173
Author Correction: Upregulation of lipid metabolism genes in the breast prior to cancer diagnosis
Correction to: npj Breast Cancer 10.1038/s41523-020-00191-8, published online 06 October 2020
In this article, the author name Miranda Stovall was incorrectly written as Miranda Stoval. The original article has been corrected
Ma Huan (original author), Wan Ming (ed.) Ming chaoben " Yingya shenglan " jiaozh
Ptak Roderich. Ma Huan (original author), Wan Ming (ed.) Ming chaoben " Yingya shenglan " jiaozh. In: Archipel, volume 71, 2006. Autour de la peinture à Java. Volume II. pp. 240-244
Revisiting the Mitra-Wan Tree Farm.
The tree-farm model of T. Mitra and H. Wan (1985) contains novelties: a continuum of optimal cycles appear for small discounting and the cyclicality survives perturbations. To isolate the source of novelties, the author studies the simplest case: trees live naturally for two periods. This model specializes the general theory of multisector development under four conditions. It becomes a Ramsey type model, augmented by a cross-vintage constraint: the present acreage under trees, age n, must not be less than the acreage under trees age n + 1, one period hence. Novelties emerge when this constraint bounds the graph of the state-to-control correspondence. Copyright 1994 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
A Knowledge Distribution Model to Support an Author in Narrative Creation
Adjusting the knowledge of characters and the reader is a critical task for an author in narrative creation. Throughout a narrative, both characters and the reader experience events according to their own timelines and perspectives. They interpret information accumulated through their experience and update knowledge to the narrative-world which the author constructed. In this paper, we present a Knowledge Distribution Model which supports an author in finely controlling the knowledge of characters and the reader. Within the model, the Knowledge Structure is constructed by connecting event, information, and knowledge. The Knowledge State is evaluated as the degree of belief under the knowledge structure. We adopted a probabilistic reasoning model to calculate the knowledge state. The change in knowledge state, defined as Knowledge Flow, is visually presented to the author. We designed a GUI prototype to implement the proposed modeling process, and demonstrated the knowledge flow with an actual cinematic narrative
Diseño de la red WAN de voz y datos para el servicio ecuatoriano de sanidad agropecuaria
El presente trabajo tiene como objetivo primordial, el diseño de la red WAN de voz y datos del Servicio Ecuatoriano de Sanidad Agropecuario (S.E.S.A.), para tener un mayor control sobre sus entidades mediante la centralización de sus recursos, logrando mejorar la gestión institucional y brindar un eficiente servicio a sus usuarios. Es necesario realizar un esquema de direccionamiento IP para poner en red todas las dependencias del Servicio Ecuatoriano de Sanidad Agropecuaria, posteriormente se realiza la simulación del tráfico a cursar por la red WAN de donde se saca conclusiones sobre el dimensionamiento de la red. Por último se presentan conclusiones del diseño a aplicar y se proponen algunas recomendaciones que permitan mejorar el diseño de la Red WAN de Voz y Datos del Servicio Ecuatoriano de SanidadZambrano Miranda, Adrián (Director
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