990 resultados para Augusto, Carl R.
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[ES] En el caso romano, la stásis por antonomasia es la crisis de la República, cuya resolución traumática conduce a la superación del propio sistema republicano y al surgimiento del Principado de Augusto. El régimen augusteo, tras una fase previa de enfrentamientos civiles, se consolida, apoyado, entres otros elementos, en un nuevo consenso y en la reelaboración de la tradición republicana anterior, que permiten difuminar los elementos autocráticos del sistema. La idea de patria constituye un concepto clave en la ideologÃa del nuevo régimen.
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To be in compliance with the Endangered Species Act and the Marine Mammal Protection Act, the United States Department of the Navy is required to assess the potential environmental impacts of conducting at-sea training operations on sea turtles and marine mammals. Limited recent and area-specific density data of sea turtles and dolphins exist for many of the Navy’s operations areas (OPAREAs), including the Marine Corps Air Station (MCAS) Cherry Point OPAREA, which encompasses portions of Core and Pamlico Sounds, North Carolina. Aerial surveys were conducted to document the seasonal distribution and estimated density of sea turtles and dolphins within Core Sound and portions of Pamlico Sound, and coastal waters extending one mile offshore. Sea Surface Temperature (SST) data for each survey were extracted from 1.4 km/pixel resolution Advanced Very High Resolution Radiometer remote images. A total of 92 turtles and 1,625 dolphins were sighted during 41 aerial surveys, conducted from July 2004 to April 2006. In the spring (March – May; 7.9°C to 21.7°C mean SST), the majority of turtles sighted were along the coast, mainly from the northern Core Banks northward to Cape Hatteras. By the summer (June – Aug.; 25.2°C to 30.8°C mean SST), turtles were fairly evenly dispersed along the entire survey range of the coast and Pamlico Sound, with only a few sightings in Core Sound. In the autumn (Sept. – Nov.; 9.6°C to 29.6°C mean SST), the majority of turtles sighted were along the coast and in eastern Pamlico Sound; however, fewer turtles were observed along the coast than in the summer. No turtles were seen during the winter surveys (Dec. – Feb.; 7.6°C to 11.2°C mean SST). The estimated mean surface density of turtles was highest along the coast in the summer of 2005 (0.615 turtles/km², SE = 0.220). In Core and Pamlico Sounds the highest mean surface density occurred during the autumn of 2005 (0.016 turtles/km², SE = 0.009). The mean seasonal abundance estimates were always highest in the coastal region, except in the winter when turtles were not sighted in either region. For Pamlico Sound, surface densities were always greater in the eastern than western section. The range of mean temperatures at which turtles were sighted was 9.68°C to 30.82°C. The majority of turtles sighted were within water ≥ 11°C. Dolphins were observed within estuarine waters and along the coast year-round; however, there were some general seasonal movements. In particular, during the summer sightings decreased along the coast and dolphins were distributed throughout Core and Pamlico Sounds, while in the winter the majority of dolphins were located along the coast and in southeastern Pamlico Sound. Although relative numbers changed seasonally between these areas, the estimated mean surface density of dolphins was highest along the coast in the spring of 2006 (9.564 dolphins/km², SE = 5.571). In Core and Pamlico Sounds the highest mean surface density occurred during the autumn of 2004 (0.192 dolphins/km², SE = 0.066). The estimated mean surface density of dolphins was lowest along the coast in the summer of 2004 (0.461 dolphins/km², SE = 0.294). The estimated mean surface density of dolphins was lowest in Core and Pamlico Sounds in the summer of 2005 (0.024 dolphins/km², SE = 0.011). In Pamlico Sound, estimated surface densities were greater in the eastern section except in the autumn. Dolphins were sighted throughout the entire range of mean SST (7.60°C to 30.82°C), with a tendency towards fewer dolphins sighted as water temperatures increased. Based on the findings of this study, sea turtles are most likely to be encountered within the OPAREAs when SST is ≥ 11°C. Since sea turtle distributions are generally limited by water temperature, knowing the SST of a given area is a useful predictor of sea turtle presence. Since dolphins were observed within estuarine waters year-round and throughout the entire range of mean SST’s, they likely could be encountered in the OPAREAs any time of the year. Although our findings indicated the greatest number of dolphins to be present in the winter and the least in the summer, their movements also may be related to other factors such as the availability of prey. (PDF contains 28 pages)
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ADMB2R is a collection of AD Model Builder routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 ADMB2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the ADMB2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer ADMB2R to others in the hope that they will find it useful. (PDF contains 30 pages)
User’s Guide to C2R: A Set of C Language Output Routines Compatible with the R Statistics Language
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C2R is a collection of C routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 C2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the C2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer C2R to others in the hope that they will find it useful. (PDF contains 27 pages)
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For2R is a collection of Fortran routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 For2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the For2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer For2R to others in the hope that they will find it useful. (PDF contains 31 pages)
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Segundo Richard R. Ramer, "Primeira edição. O autor, natural de Santos, SP, escreveu esta obra depois de ter feito um estudo cuidadoso em documentos contemporâneos...".
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[ES] El objeto principal del artÃculo es exponer un argumento novedoso en favor de una de las interpretaciones antiguas de la cuarta égloga de Virgilio: se trata de demostrar que el uso que de estos versos hicieron los autores de la poesÃa bucólica de época de Nerón induce a una lectura de la égloga en la que el puer debe identificarse con Augusto. En el artÃculo se sostiene que Calpurnio SÃculo y el autor de las églogas de Einsiedeln (y, de otra manera, Séneca en la Apocolocyntosis) parten de la égloga virgiliana para saludar a Nerón como artÃfice de una nueva aetas aurea, como un nuevo Apolo, etc. Esta hipótesis viene apoyada también por una revisión de los escolios antiguos, por la lectura de ciertos versos del Culex y por algunas reflexiones sobre lo que sabemos acerca de la primera fortuna de las Bucólicas virgilianas. Desde esta perspectiva se propone una lectura del conjunto de la égloga.
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Este árticulo explica que el derecho de la información es uno de los denominados derechos individuales del accionista o socio, que se deriva de la titularidad de acciones o participaciones, derecho fundamental e inherente a la condición de socio, e inderogable, que se ostenta por normas imperativas que reconocen dicho derecho. Contribuye a un mayor control y participación del socio en la marcha de la sociedad ya que trata de facilitar a los socios un conocimiento directo sobre la situación y gestión social constituyendo, por tanto, uno de los más importantes derechos del mismo.
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Referência: Bibliografia da Impressão Regia do Rio de Janeiro / Ana Maria de Almeida Camargo, Rubens Borba de Moraes, 1993. v. 1, p. 220
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[EN]Probability models on permutations associate a probability value to each of the permutations on n items. This paper considers two popular probability models, the Mallows model and the Generalized Mallows model. We describe methods for making inference, sampling and learning such distributions, some of which are novel in the literature. This paper also describes operations for permutations, with special attention in those related with the Kendall and Cayley distances and the random generation of permutations. These operations are of key importance for the efficient computation of the operations on distributions. These algorithms are implemented in the associated R package. Moreover, the internal code is written in C++.
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156 p. : graf.
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ENGLISH: The Nankai Regional Fisheries Research Laboratory of Kochi, Japan conducted a long-line fishery exploration and hydrographic survey in the eastern Pacific Ocean aboard the R/V Shoyo Maru during October 1963- March 1964. An invitation to the Inter-American Tropical Tuna Commission to participate in the cruise gave its investigators the opportunity to make surface biological observations and to preserve water samples for subsequent analyses of nutrients. The result of this survey is a comprehensive body of physical, chemical and biological data covering a large portion of the eastern half of the Pacific Ocean. SPANISH: El Nankai Regional Fisheries Research Laboratory de Rochi, Japón, llevó a cabo una exploración pesquera con palangre y un reconocimiento hidrográfico en el Océano PacÃfico oriental, a bordo del barco de investigación Shoyo Maru, desde octubre de 1963 hasta marzo de 1964. Una invitación dirigida a la Comisión Interamericana del Atún Tropical para participar en el crucero, confirió a sus investigadores la oportunidad de hacer observaciones biológicas superficiales y conservar muestras de agua para el subsiguiente análisis de los nutrientes. El resultado de este reconocimiento es un conjunto de datos fÃsicos, quÃmicos y biológicos que abarcan una gran parte del sector medio oriental del Océano PacÃfico. (PDF contains 153 pages.)
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Background: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to partition the genes into groups exhibiting similar patterns of variation in expression level. An important problem associated with gene classification is to discern whether the clustering process can find a relevant partition as well as the identification of new genes classes. There are two key aspects to classification: the estimation of the number of clusters, and the decision as to whether a new unit (gene, tumor sample ... ) belongs to one of these previously identified clusters or to a new group. Results: ICGE is a user-friendly R package which provides many functions related to this problem: identify the number of clusters using mixed variables, usually found by applied biomedical researchers; detect whether the data have a cluster structure; identify whether a new unit belongs to one of the pre-identified clusters or to a novel group, and classify new units into the corresponding cluster. The functions in the ICGE package are accompanied by help files and easy examples to facilitate its use. Conclusions: We demonstrate the utility of ICGE by analyzing simulated and real data sets. The results show that ICGE could be very useful to a broad research community.
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Support in R for state space estimation via Kalman filtering was limited to one package, until fairly recently. In the last five years, the situation has changed with no less than four additional packages offering general implementations of the Kalman filter, including in some cases smoothing, simulation smoothing and other functionality. This paper reviews some of the offerings in R to help the prospective user to make an informed choice.