Post-menopausal metrorrhagia - an ovarian thecoma presentation

Os tecomas são tumores raros do ovário, do grupo dos tumores dos cordões sexuais, de natureza sólida e frequentemente unilaterais. Têm maior incidência no período pósmenopausa e normalmente são silenciosos. Quando sintomáticos traduzem-se por dor pélvica e metrorragia (condicionada pela habitual natureza produtora de estrogénios do tumor). Podem ser concomitantes a síndrome de Meigs e/ou de Golin-Goltz e associaremse a transformação benigna ou maligna do endométrio. Embora a ecografia possa ser inespecífica neste contexto, uma avaliação multiparamétrica abrangente em ressonância magnética, incluindo por estudo dinâmico e com ponderação em difusão, permite frequentemente orientar de modo favorável a marcha diagnóstica. Apresentamos um caso raro de tecoma do ovário, com espessamento associado do endométrio, avaliado por ecografia ginecológica por vias supra-púbica e transvaginal bem como tomografia computorizada e ressonância magnética, confirmado cirurgicamente. Tratou-se de uma examinada caucasiana de 61 anos de idade, apresentando-se com metrorragia pósmenopáusica, sem outros sintomas nem contexto familiar relevante. Procedeu-se, a este propósito, a uma revisão da literatura focada no diagnóstico multimodal diferencial, apresentação clínica, tratamento e prognóstico destes tumores.

Spójność multimodalnego przekazu reporterskiego w krótkiej relacji telewizyjnej "na żywo"

Wydział Neofilologii

Ruchy gałek ocznych i gesty jako korelaty przetwarzania języka w tłumaczeniu konsekutywnym i symultanicznym

Wydział Anglistyki

O Laboratório Transdisciplinar de Cenografia (LTC) : locus do espaço e desenho da cena no Brasil

Tese (doutorado)—Universidade de Brasília, Instituto de Artes, Programa de Pós-Graduação em Artes, 2016.

Carrier Selection for Multi-commodity Flow Optimization in Cooperative Environments

Part 18: Optimization in Collaborative Networks

Public participation plan 2016 update

The Public Participation Plan provides direction for effective participation in the development of the South Carolina Department of Transportation’s (SCDOT) transportation plans and programs. For SCDOT’s stakeholders, the participation plan describes opportunities to participate in identifying the statewide priorities for transportation investments in South Carolina. Two major components of the statewide planning process are the Statewide Multimodal Transportation Plan and the State Transportation Improvement Program (STIP). The Statewide Multimodal Transportation Plan provides long-term guidance for the development of transportation programs and establishes strategies to achieve transportation goals for a 20-year period. The STIP is a short-term program that lists all roads, bridge, and transit projects scheduled for improvement based on available funding over a six-year period.

Robustness in facility location

Facility location concerns the placement of facilities, for various objectives, by use of mathematical models and solution procedures. Almost all facility location models that can be found in literature are based on minimizing costs or maximizing cover, to cover as much demand as possible. These models are quite efficient for finding an optimal location for a new facility for a particular data set, which is considered to be constant and known in advance. In a real world situation, input data like demand and travelling costs are not fixed, nor known in advance. This uncertainty and uncontrollability can lead to unacceptable losses or even bankruptcy. A way of dealing with these factors is robustness modelling. A robust facility location model aims to locate a facility that stays within predefined limits for all expectable circumstances as good as possible. The deviation robustness concept is used as basis to develop a new competitive deviation robustness model. The competition is modelled with a Huff based model, which calculates the market share of the new facility. Robustness in this model is defined as the ability of a facility location to capture a minimum market share, despite variations in demand. A test case is developed by which algorithms can be tested on their ability to solve robust facility location models. Four stochastic optimization algorithms are considered from which Simulated Annealing turned out to be the most appropriate. The test case is slightly modified for a competitive market situation. With the Simulated Annealing algorithm, the developed competitive deviation model is solved, for three considered norms of deviation. At the end, also a grid search is performed to illustrate the landscape of the objective function of the competitive deviation model. The model appears to be multimodal and seems to be challenging for further research.