969 resultados para Bottari, Giovanni Gaetano, 1689-1775.
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Scale ca. 1:7,300.
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Esta tesis comienza en el punto donde concluía el trabajo pionero sobre comedia de magia del XVIII emprendido por Joaquín Álvarez Barrientos. Planteaba él entonces la necesidad de saber más sobre los hombres y mujeres de la época para comprender mejor la comedia de magia como género escénico, con el objetivo de responder la pregunta que tantos dieciochistas nos hemos hecho: ¿por qué la comedia de magia tuvo tanto éxito? Mi investigación partió también de sus respuestas: se debió, sobre todo, a motivos ideológicos y espectaculares. Comprender la comedia de magia como género escénico quiere decir comprender todos los mecanismos de la materialidad de su puesta en escena y de la relación establecida entre espectáculo y espectadores. Implica comprender la teatralidad a un nivel que no es solo textual, sino físico y relacional. Las relaciones y reacciones que desataba la comedia de magia eran tremendamente pasionales y opuestas, como demuestran los datos de que disponemos: las espectaculares recaudaciones, de un lado, y las múltiples diatribas y prohibiciones, de otro. Así que, la siguiente pregunta que era necesario plantear era: ¿por qué molestaban tanto las comedias de magia? En el siglo XVIII ocurrió un acontecimiento especialmente traumático, el denominado «Motín contra Esquilache», que tuvo numerosas consecuencias para la sociedad en general pero, sobre todo, para el teatro. De hecho, una de las primeras medidas que el gobierno del conde de Aranda emprende nada más acabar con las revueltas es la Reforma del teatro. Haciendo un razonamiento inverso, surgía la hipótesis de que el teatro, en un sentido amplio, y en concreto la comedia de magia, hubiera tenido más intervención en el motín de lo que se piensa, tanto por sus temáticas, como por las posibilidades de encuentro y organización social que la asistencia al teatro propiciaba. Surgía pues, la necesidad de profundizar en la reconstrucción de una teoría estética de la comedia de magia, así como de estudiar el hecho teatral durante los años centrales del siglo, en concreto, desde la construcción de los nuevos coliseos, pues parecía probable que el cambio de espacio hubiera propiciado algún cambio de mentalidad…
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Tese para a obtenção do grau de Doutor no Ramo de Arquitectura, na Especialidade de História da Arquitectura, apresentada na Faculdade de Arquitectura da Universidade Técnica de Lisboa.
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Nesta dissertação pretendemos analisar a interpretação do papel do tenor nas óperas Lucia di Lammermoor e L´Elisir d´Amore de Gaetano Donizetti, estudando os principais fatores que influenciaram a interpretação do papel do tenor e como esta mudou ao longo dos anos, por comparação de gravações destas óperas com 50 anos de intervalo entre si. O período do bel canto está associado à linha de canto ornamentada para exprimir emoções, o que, em conjunto com outros aspetos, fez com que a voz de tenor passasse a ter uma emissão distinta, especialmente no registo agudo. O contexto histórico e musical desta época, bem como os desenvolvimentos técnicos que se verificaram, influenciaram a forma de cantar e introduziram o tenor como papel principal nas óperas, com todos os desafios de cantar na zona de passagem, de domínio da respiração e de respeito pelas diversas formas de expressão musical que os compositores do período do bel canto usavam como veículos de interpretação e expressão dos sentimentos. A escolha destas duas óperas de Donizetti assenta num gosto pessoal e no meu interesse em estudar os contrastes dos personagens Edgardo e Nemorino, que são apresentados nesta dissertação sob o ponto de vista interpretativo, analisando a problemática de cada papel e a forma como o percurso tonal destas obras influencia as performances dos intérpretes; Abstract: STUDY AND ANALYSIS TECHNICAL-INTERPRETATION OF THE LEADING ROLE OF THE TENOR IN THE OPERAS LUCIA DI LAMMERMOOR (EDGARDO) AND L´ELISIR D´AMORE (NEMORINO) OF GAETANO DONIZETTI In this dissertation we analyze the interpretation of the tenor role in the operas Lucia di Lammermoor and L´Elisir d´Amore by Gaetano Donizetti, studying the major factors that influenced the tenor role interpretation and how it developed along the years, by comparing two recordings of these operas recorded 50 years apart from each other. The period of the bel canto is associated with the vocal ornamentation to express emotions which, as a consequence and together with other aspects, required technical changes to the tenor voice, in particular the high register. The historic and musical context of this time, as well as the technical developments that happened then, influenced the way of singing and introduced the tenor as the main role in operas, with all the challenges to sing in the passagio, to master the breathing process and to use all the forms of musical expression that the bel canto composers used as vehicles to interpret and express feelings. The choice of these two operas by Donizetti is based on personal taste and also on the interpretative contrasts between the roles of Edgardo and Nemorino, studied in this dissertation in terms of their interpretation, their problematic and how the harmony of these operas influences the interpretation of the singers.
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El joven historiador costarricense Juan José Marín entrevista al DR. Giovanni Levi.
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Resumen Estudia la elite urbana de Santiago de Guatemala entre 1632 y 1775 utilizando la familia como unidad básica para el análisis histórico y el parentesco como paradigma para interpretar las relaciones sociales. Abstract This article focuses on the urban elite of Santiago de Guatemala between 1632 and 1775, using the family as the basic unit of historical analysis and using kinship as a paradigm for the interpretation.
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Purpose: In the global knowledge economy, investment in knowledge-intensive industries and information and communication technology (ICT) infrastructures are seen as significant factors in improving the overall socio-economic fabric of cities. Consequently knowledge-based urban development (KBUD) has become a new paradigm in urban planning and development, for increasing the welfare and competitiveness of cities and regions. The paper discusses the critical connections between KBUD strategies and knowledge-intensive industries and ICT infrastructures. In particular, it investigates the application of the knowledge-based urban development concept by discussing one of South East Asia’s large scale manifestations of KBUD; Malaysia’s Multimedia Super Corridor. ----- ----- Design/methodology/approach: The paper provides a review of the KBUD concept and develops a knowledge-based urban development assessment framework to provide a clearer understanding of development and evolution of KBUD manifestations. Subsequently the paper investigates the implementation of the KBUD concept within the Malaysian context, and particularly the Multimedia Super Corridor (MSC). ----- ----- Originality/value: The paper, with its KBUD assessment framework, scrutinises Malaysia’s experince; providing an overview of the MSC project and discussion of the case findings. The development and evolution of the MSC is viewed with regard to KBUD policy implementation, infrastructural implications, and the agencies involved in the development and management of the MSC. ----- ----- Practical implications: The emergence of the knowledge economy, together with the issues of globalisation and rapid urbanisation, have created an urgent need for urban planners to explore new ways of strategising planning and development that encompasses the needs and requirements of the knowledge economy and society. In light of the literature and MSC case findings, the paper provides generic recommendations, on the orchestration of knowledge-based urban development, for other cities and regions seeking to transform to the knowledge economy.
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Hot spot identification (HSID) plays a significant role in improving the safety of transportation networks. Numerous HSID methods have been proposed, developed, and evaluated in the literature. The vast majority of HSID methods reported and evaluated in the literature assume that crash data are complete, reliable, and accurate. Crash under-reporting, however, has long been recognized as a threat to the accuracy and completeness of historical traffic crash records. As a natural continuation of prior studies, the paper evaluates the influence that under-reported crashes exert on HSID methods. To conduct the evaluation, five groups of data gathered from Arizona Department of Transportation (ADOT) over the course of three years are adjusted to account for fifteen different assumed levels of under-reporting. Three identification methods are evaluated: simple ranking (SR), empirical Bayes (EB) and full Bayes (FB). Various threshold levels for establishing hotspots are explored. Finally, two evaluation criteria are compared across HSID methods. The results illustrate that the identification bias—the ability to correctly identify at risk sites--under-reporting is influenced by the degree of under-reporting. Comparatively speaking, crash under-reporting has the largest influence on the FB method and the least influence on the SR method. Additionally, the impact is positively related to the percentage of the under-reported PDO crashes and inversely related to the percentage of the under-reported injury crashes. This finding is significant because it reveals that despite PDO crashes being least severe and costly, they have the most significant influence on the accuracy of HSID.
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Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of parameters in these models is therefore an important problem, and becomes a key factor when learning from very large data sets. This paper describes exponentiated gradient (EG) algorithms for training such models, where EG updates are applied to the convex dual of either the log-linear or max-margin objective function; the dual in both the log-linear and max-margin cases corresponds to minimizing a convex function with simplex constraints. We study both batch and online variants of the algorithm, and provide rates of convergence for both cases. In the max-margin case, O(1/ε) EG updates are required to reach a given accuracy ε in the dual; in contrast, for log-linear models only O(log(1/ε)) updates are required. For both the max-margin and log-linear cases, our bounds suggest that the online EG algorithm requires a factor of n less computation to reach a desired accuracy than the batch EG algorithm, where n is the number of training examples. Our experiments confirm that the online algorithms are much faster than the batch algorithms in practice. We describe how the EG updates factor in a convenient way for structured prediction problems, allowing the algorithms to be efficiently applied to problems such as sequence learning or natural language parsing. We perform extensive evaluation of the algorithms, comparing them to L-BFGS and stochastic gradient descent for log-linear models, and to SVM-Struct for max-margin models. The algorithms are applied to a multi-class problem as well as to a more complex large-scale parsing task. In all these settings, the EG algorithms presented here outperform the other methods.
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Background Both sorghum (Sorghum bicolor) and sugarcane (Saccharum officinarum) are members of the Andropogoneae tribe in the Poaceae and are each other's closest relatives amongst cultivated plants. Both are relatively recent domesticates and comparatively little of the genetic potential of these taxa and their wild relatives has been captured by breeding programmes to date. This review assesses the genetic gains made by plant breeders since domestication and the progress in the characterization of genetic resources and their utilization in crop improvement for these two related species. Genetic Resources The genome of sorghum has recently been sequenced providing a great boost to our knowledge of the evolution of grass genomes and the wealth of diversity within S. bicolor taxa. Molecular analysis of the Sorghum genus has identified close relatives of S. bicolor with novel traits, endosperm structure and composition that may be used to expand the cultivated gene pool. Mutant populations (including TILLING populations) provide a useful addition to genetic resources for this species. Sugarcane is a complex polyploid with a large and variable number of copies of each gene. The wild relatives of sugarcane represent a reservoir of genetic diversity for use in sugarcane improvement. Techniques for quantitative molecular analysis of gene or allele copy number in this genetically complex crop have been developed. SNP discovery and mapping in sugarcane has been advanced by the development of high-throughput techniques for ecoTILLING in sugarcane. Genetic linkage maps of the sugarcane genome are being improved for use in breeding selection. The improvement of both sorghum and sugarcane will be accelerated by the incorporation of more diverse germplasm into the domesticated gene pools using molecular tools and the improved knowledge of these genomes.
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Aims and objectives. The aim of this study was to gain an understanding of the experiences and perspectives of intensive care nurses caring for critically ill obstetric patients. Background. Current literature suggests critically ill obstetric patients need specialised, technically appropriate care to meet their specific needs with which many intensive care nurses are unfamiliar. Furthermore, there is little research and evidence to guide the care of this distinct patient group. Design. This study used a descriptive qualitative design. Methods. Two focus groups were used to collect data from 10 Australian intensive care units nurses in May 2007. Open-ended questions were used to guide the discussion. Latent content analysis was used to analyse the data set. Each interview lasted no longer than 60 minutes and was recorded using audio tape. The full interviews were transcribed prior to in-depth analysis to identify major themes. Results. The themes identified from the focus group interviews were competence with knowledge and skills for managing obstetric patients in the intensive care unit, confidence in caring for obstetric patients admitted to the intensive care unit and acceptance of an expanded scope of practice perceived to include fundamental midwifery knowledge and skills. Conclusion. The expressed lack of confidence and competence in meeting the obstetric and support needs of critically ill obstetric women indicates a clear need for greater assistance and education of intensive care nurses. This in turn may encourage critical care nurses to accept an expanded role of clinical practice in caring for critically ill obstetric patients. Relevance to clinical practice. Recognition of the issues for nurses in successfully caring for obstetric patients admitted to an adult intensive care setting provides direction for designing education packages, ensuring specific carepaths and guidelines are in place and that support from a multidisciplinary team is available including midwifery staff.
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Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes.