Efeito de diferentes arranjos no consórcio milho-feijão e milho-caupi no Acre, Brasil

Visando estudar um sistema de cultivo para o consórcio do milho (Zea mays L.) com feijão (Phaseolus vulgaris L.) e milho com o caupi (Vigna unguiculata (L.) Walp), foram conduzidos experimentos durante os anos de 1995 e 1996, em Rio Branco, Acre. Quatro diferentes arranjos (uma, três, cinco e sete fileiras de feijão ou caupi para uma fileira de milho) foram testados no delineamento de blocos ao acaso com quatro repetições. A produtividade do feijão e do caupi, no arranjo de linhas 1:1, foi significativamente inferior aos demais, evidenciando que as leguminosas foram afetadas pela competição com milho. A produtividade do milho decresceu linearmente de acordo com o arranjo, devido as menores populações de plantas utilizadas. O sistema consorciado mais promissor, demonstrado pela produção equivalente, foi o arranjo composto por uma fileira de milho para três fileiras das leguminosas.

Outsourcing de serviços de sistemas de informação na banca em Portugal

Ao longo das últimas décadas a função sistemas de informação (SI) evoluiu e tornou-se verdadeiramente fundamental no seio das organizações. Apesar de esta evidência, nem sempre as organizações dispõem dos recursos internos e do know-how necessário para a desenvolver. O outsourcing de serviços de SI tem vindo a apresentar-se como uma alternativa e opção estratégica no contexto da gestão desta função em muitas organizações e em vários setores de atividade. Desenvolver uma melhor compreensão sobre as principais práticas de outsourcing de serviços de SI no setor da banca, dadas as particularidades que apresenta (por exemplo relativamente aos requisitos de confidencialidade e sigilo), constitui o objetivo central deste trabalho. Para tal, foi realizado um inquérito baseado em questionário com o intuito de caraterizar, entre outros aspetos, os serviços sujeitos a outsourcing, as principais motivações, riscos, barreiras e impactos associados ao outsourcing, bem como aspetos de contratação, relação cliente-fornecedor e satisfação. Os principais resultados obtidos são apresentados neste artigo.

Variações morfológicas do Labelo de Catasetum barbatum (Lindl.) Lindl. (Orchidaceae)

Este trabalho apresenta as variações morfológicas no labelo da flor de Catasetum barbatum (Lindl.) Lindl. em material oriundo de comunidades naturais na Amazônia legal e no Brasil Central. Foram reconhecidas 16 variações em 4 habitats diferentes, provavelmente relacionadas com mudanças nas características ecológicas do meio. São apresentadas ainda distribuição geográfica e ilustrações das variações do labelo.

Escavações arqueológicas no Mosteiro de S. Martinho de Tibães: campanha de janeiro de 1997 a fevereiro de 1998: Terreiro de S. João, claustro do refeitório e claustro do cemitério: relatório científico

Entre Janeiro de 1997 e Fevereiro de 1998 decorreu mais uma campanha de escavações arqueológicas no mosteiro de S. Martinho de Tibães. Conforme explicitado em relatórios e memorandos anteriores, a intervenção arqueológica visa fundamentalmente minimizar o impacte das amplas obras de consolidação, restauro e adaptação de que o edificado é objeto e que decorrerão até ao ano 2000. Subsidiariamente, os trabalhos arqueológicos visam a recolha de dados que permitam aumentar o conhecimento sobre a evolução arquitetónica do mosteiro.

Escavações arqueológicas no Mosteiro de S. Martinho de Tibães: campanha de 1996: claustro do refeitório e Jardim de São Bento: relatório científico

Dando sequência ao projeto de estudo histórico-arqueológico implementado em 1992 (ver relatórios e memorandos anteriores), realizou-se em 1996 mais uma campanha de escavações arqueológicas. Integralmente financiados pelo Instituto Português do Património Arquitetónico e Arqueológico (IPPAR) e executados pela Unidade de Arqueologia da Universidade do Minho, os trabalhos arqueológicos foram realizados pela seguinte equipa: Luis F. de Oliveira Fontes, arqueólogo; Eurico Nuno Malheiro Machado, téc. Aux.; Arlindo da Rocha Pinheiro, Arnaldo Gomes, José da Costa Pinheiro, Francisco Alves Gomes, José Carlos Dias, José Emílio Correia Coelho, Maria Manuela Gonçalves Ferreira e Miguel Fernando Dias Veiga; Ana Maria P. Fernandes Fontes, José Alfredo Lopes Barbosa e Knor Rocha, desenhadores. Fernando Castro, Isabel Fernandes e Ana Bettencourt prestaram colaboração científica nas áreas da Cerâmica Moderna e Pré-história Recente, respetivamente.

RoboCup Soccer Leagues

RoboCup was created in 1996 by a group of Japanese, American, and European Artificial Intelligence and Robotics researchers with a formidable, visionary long-term challenge: “By 2050 a team of robot soccer players will beat the human World Cup champion team.” At that time, in the mid 90s, when there were very few effective mobile robots and the Honda P2 humanoid robot was presented to a stunning public for the first time also in 1996, the RoboCup challenge, set as an adversarial game between teams of autonomous robots, was fascinating and exciting. RoboCup enthusiastically and concretely introduced three robot soccer leagues, namely “Simulation,” “Small-Size,” and “Middle-Size,” as we explain below, and organized its first competitions at IJCAI’97 in Nagoya with a surprising number of 100 participants [RC97]. It was the beginning of what became a continously growing research community. RoboCup established itself as a structured organization (the RoboCup Federation www.RoboCup.org). RoboCup fosters annual competition events, where the scientific challenges faced by the researchers are addressed in a setting that is attractive also to the general public. and the RoboCup events are the ones most popular and attended in the research fields of AI and Robotics.RoboCup further includes a technical symposium with contributions relevant to the RoboCup competitions and beyond to the general AI and robotics.

Seismic vulnerability of vernacular buildings in urban centres: the case of Vila Real de Santo António

Following detailed studies of Portuguese vernacular building typologies, this paper deals with buildings located in historical urban centres. An analysis of the history of the urban centre and, in particular, of some vernacular buildings is enhanced. Additionally, a discussion on the influence of changes of the geometry, and on added built volumes to original buildings in the seismic vulnerability of the buildings is also provided.

Wi-Fi fingerprinting in the real world – RTLS@UM at the EvAAL competition

Research and development around indoor positioning and navigation is capturing the attention of an increasing number of research groups and labs around the world. Among the several techniques being proposed for indoor positioning, solutions based on Wi-Fi fingerprinting are the most popular since they exploit existing WLAN infrastructures to support software-only positioning, tracking and navigation applications. Despite the enormous research efforts in this domain, and despite the existence of some commercial products based on Wi-Fi fingerprinting, it is still difficult to compare the performance, in the real world, of the several existing solutions. The EvAAL competition, hosted by the IPIN 2015 conference, contributed to fill this gap. This paper describes the experience of the RTLS@UM team in participating in track 3 of that competition.

A geographic opportunistic forwarding strategy for vehicular named data networking

Studies in Computational Intelligence, 616

Ocorrência de Polypedilum (Tripodura) amataura Bidawid-Kafka, 1996 (Diptera; Chironomidae) em Aquascypha hydrophora (berk.) Reid (Fungi; Stereaceae), com descrição da pupa na Amazônia Central, Brasil

Quatro larvas foram coletadas em água retida pelo fungo Aquascypha hydrophora (Berk.) Reid (Fungi: Stereaceae) fixo em troncos de árvores eretas, na Reserva Florestal Adolpho Ducke, Amazonas, Brasil. Das larvas coletadas, apenas um exemplar desenvolveu até a fase adulta, sendo identificado como Polypedilum (Tripodura) amataura Bidawid-Kafka, 1996. Esta é a primeira descrição para uma forma imatura deste gênero, e também o primeiro registro em micotelmata.

A soft computing approach to kidney diseases evaluation

Kidney renal failure means that one’s kidney have unexpectedly stopped functioning, i.e., once chronic disease is exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the patient’s history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts anomalous kidney function and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely hypertension, obesity, diabetes mellitus, and cardiovascular complications. Acute kidney injury appears abruptly, with a rapid deterioration of the renal function, but is often reversible if it is recognized early and treated promptly. In both situations, i.e., acute kidney injury and chronic kidney disease, an early intervention can significantly improve the prognosis.The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow one to consider incomplete, unknown, and even contradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 patients with an age average of 51.7 years and the chronic kidney disease was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of chronic kidney disease, since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9–94.2 %, respectively.

An assessment of chronic kidney diseases

Kidney renal failure means that one’s kidney have unexpectedlystoppedfunctioning,i.e.,oncechronicdiseaseis exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the patient’s history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts anomalous kidney function and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely hypertension, obesity, diabetes mellitus, and cardiovascular complications. Acute kidney injury appears abruptly, with a rapiddeteriorationoftherenalfunction,butisoftenreversible if it is recognized early and treated promptly. In both situations, i.e., acute kidney injury and chronic kidney disease, an early intervention can significantly improve the prognosis. The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow onetoconsiderincomplete,unknown,and evencontradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 patients with an age average of 51.7 years and the chronic kidney disease was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of chronic kidney disease, since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9–94.2 %, respectively.

Artificial neural networks in diagnosis of liver diseases

Liver diseases have severe patients’ consequences, being one of the main causes of premature death. These facts reveal the centrality of one`s daily habits, and how important it is the early diagnosis of these kind of illnesses, not only to the patients themselves, but also to the society in general. Therefore, this work will focus on the development of a diagnosis support system to these kind of maladies, built under a formal framework based on Logic Programming, in terms of its knowledge representation and reasoning procedures, complemented with an approach to computing grounded on Artificial Neural Networks.