126 resultados para abbreviations


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Con el propósito de analizar los cambios de la fuerza máxima explosiva en relación a la ejecución de series de salto vertical repetido (SVR) con periodos cortos de recuperación pasiva en jugadores de baloncesto, se evaluaron 12 deportistas en un protocolo de cuatro series (S) de 15-s de saltos verticales con 10-s de recuperación entre S. Se midieron la altura de salto inicial (ASI) y final (ASF) de cada S; se utilizó ANOVA de una vía con post hoc de Bonferroni para el análisis de las diferencias ASF-ASI por S y una prueba t de Student para analizar el índice de fatiga (IF) por serie. Se encontró que la diferencia ASF-ASI fue progresivamente incremental desde la S1 hasta la S4 (-2,8 6,2 cm, -6,8 4,9 cm, -8,4 5,6 cm y -9,3 5,9 cm, respectivamente), aunque la diferencia fue mayor solo en S4 con respecto a S1 (p=0,014). Es posible que los períodos de recuperación entre cada S influyeron en el mantenimiento de la fuerza muscular explosiva (FME) durante los primeros 45-s de saltos, sin embargo, la suma de estas ejecuciones generó un aumento de la fatiga al final de la prueba. La FME puede ser afectada por la suma de ejecuciones de SVR aun con la inclusión de períodos cortos de recuperación entre series. La relación trabajo-recuperación en baloncesto es un factor que debe considerarse para planificar el entrenamiento en jugadores de baloncesto.

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To address growing concern over the effects of fisheries non-target catch on elasmobranchs worldwide, the accurate reporting of elasmobranch catch is essential. This requires data on a combination of measures, including reported landings, retained and discarded non-target catch, and post-discard survival. Identification of the factors influencing discard vs. retention is needed to improve catch estimates and to determine wasteful fishing practices. To do this we compared retention rates of elasmobranch non-target catch in a broad subset of fisheries throughout the world by taxon, fishing country, and gear. A regression tree and random forest analysis indicated that taxon was the most important determinant of retention in this dataset, but all three factors together explained 59% of the variance. Estimates of total elasmobranch removals were calculated by dividing the FAO global elasmobranch landings by average retention rates and suggest that total elasmobranch removals may exceed FAO reported landings by as much as 400%. This analysis is the first effort to directly characterize global drivers of discards for elasmobranch non-target catch. Our results highlight the importance of accurate quantification of retention and discard rates to improve assessments of the potential impacts of fisheries on these species.

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Analyses of 40 carbonate core samples - 27 from Site 535, 12 from Site 540, and 1 from Site 538A - have confirmed many of the findings of the Shipboard Scientific Party. The samples, all but one Early to mid-Cretaceous in age (Berriasian to Cenomanian), reflect sequences of cyclically anoxic and oxic depositional environments. They are moderately to very dark colored, dominantly planar-parallel, laminated lime mudstones. Most show the effects of intense mechanical compaction. Visual kerogen characteristics and conventional Rock-Eval parameters indicate that these deep basinal carbonates contain varying mixtures of thermally immature kerogen derived from both marine and terrigenous precursors. However, variations in kerogen chemistry are evident upon analysis of the pyrolysis mass spectral data in conjunction with the other geochemical analyses. Particularly diagnostic is the reduction index, Rl, a measure of H2S produced during pyrolysis. Total organic carbon, TOC, ranges from 0.6 to 6.6%, with an overall average of 2.4%. Average TOCs for these fine-grained mudstones are: late Eocene 2.5% (1 sample), Cenomanian 2.2% (6), Albian 2.0% (10), Aptian 1.3% (1), Barremian-Hauterivian 2.8% (11), late Valanginian 4.8% (3), Berriasian-early Valanginian 1.6% (7). Most of the carbonates have source-potential ratings of fair to very good of predominantly oil-prone to mixed kerogen, with only a few gas-prone samples. The ratings correlate well with the inferred depositional environments, i.e., whether oxic or anoxic. Several new organic-geochemical parameters, especially Rl, based on pyrolysis mass spectrometry of powdered whole-rock samples, support this view. Tar from fractures in laminated to bioturbated limestones of Unit IV (late Valanginian) at 535-58-4, 19-20 cm (530 m sub-bottom) appears to be mature, biodegraded, and of migrated rather than on site indigenous origin.

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This paper proposes an architecture, based on statistical machine translation, for developing the text normalization module of a text to speech conversion system. The main target is to generate a language independent text normalization module, based on data and flexible enough to deal with all situa-tions presented in this task. The proposed architecture is composed by three main modules: a tokenizer module for splitting the text input into a token graph (tokenization), a phrase-based translation module (token translation) and a post-processing module for removing some tokens. This paper presents initial exper-iments for numbers and abbreviations. The very good results obtained validate the proposed architecture.

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Writing an efficient abstract is always a difficult and significant work in academic writing. What kinds of abstracts are well reputed in sport science? To answer this question, 20 abstracts from top journals of sport science were analyzed in the current research. The number of words and rhetorical moves were studied to assess the structures of the abstracts. Meanwhile, the key clauses, citations, the use of first person pronoun, the adoption of abbreviations and acronyms, hedging and the main tense were included in the analysis of the writing skills. Results have show: (1) Almost all of the abstracts were non-structured, and the length varied a lot, but the average word count was about 210-220; (2) the use of writing skills, such as key clauses, citations and hedging differed depending on the preference of the journal where the abstract appeared, and the main tense was selected based on the context of the abstract. In most cases, abbreviations and acronyms were allowed to be used, while the first person pronoun was always avoided

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Acknowledgements Gokul Gopalan (a Senior Global Medical Director [Respiratory], at Teva Pharmaceuticals, Frazer, PA, US, at the time of this study), assisted with study design. Funding Funds to acquire the dataset from the Pharmo Institute for Drug Outcomes Research (Utrecht, the Netherlands) were provided by RiRL. The study received institutional support from Teva Pharmaceuticals Europe B.V. Gokul Gopalan, a Senior Global Medical Director (Respiratory), at Teva Pharmaceuticals, Frazer, PA, US, at the time of this study, assisted with study design, but neither Teva Pharmaceuticals Europe B.V. nor Teva Pharmaceuticals, Frazer, PA, US, contributed, either in part or in whole, to the collection, analysis, or interpretation of study data, manuscript writing, or the decision to submit the manuscript for publication. Erratum The original version of this article unfortunately contained errors that have since been corrected. The word “pharmo” has been fully capitalised to “PHARMO” throughout the article. The reference to Table 2 in the first and second sentence under the Outcomes heading has been replaced with Fig. 3. Under the Abbreviations heading ‘extrafine-particle’ was repeated, this has been corrected to ‘EF-HFA-BDP [Qvar®]: extrafine-particle hydrofluoroalkane beclomethasone dipropionate’. The competing interests of Nicolas Roche and Theresa Guibert have been amended. Academic affiliations for Dirkje S. Postma (2), Richard J. Martin (3), Ron M.C. Herrings (4), Jetty Overbeek (4), and Nicolas Roche (7) have been corrected. Figure 3 in the online and pdf version did not match, this been amended

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The conversion of text to speech is seen as an analysis of the input text to obtain a common underlying linguistic description, followed by a synthesis of the output speech waveform from this fundamental specification. Hence, the comprehensive linguistic structure serving as the substrate for an utterance must be discovered by analysis from the text. The pronunciation of individual words in unrestricted text is determined by morphological analysis or letter-to-sound conversion, followed by specification of the word-level stress contour. In addition, many text character strings, such as titles, numbers, and acronyms, are abbreviations for normal words, which must be derived. To further refine these pronunciations and to discover the prosodic structure of the utterance, word part of speech must be computed, followed by a phrase-level parsing. From this structure the prosodic structure of the utterance can be determined, which is needed in order to specify the durational framework and fundamental frequency contour of the utterance. In discourse contexts, several factors such as the specification of new and old information, contrast, and pronominal reference can be used to further modify the prosodic specification. When the prosodic correlates have been computed and the segmental sequence is assembled, a complete input suitable for speech synthesis has been determined. Lastly, multilingual systems utilizing rule frameworks are mentioned, and future directions are characterized.

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Modern hardcover binding around original handsewn paper binding. Missing title page and first page of text. Key to abbreviations titled "Explination" on flyleaf with abbreviations for Massachusetts, New Hampshire, Connecticut, Rhode Island, Long Island, New York, Martha's Vineyard, New Jersey, Pensylvania [sic], Virginia, South Carolina, Georgia, West Indies, Great Britain, Episcopalian, and Baptist. Heavily annotated with residence locations. Asterisks added next to the names of alumni who died after the Catalogue's publication, generally in 1795. Also includes a tipped-in page at front of volume with the names of thirteen alumni of various classes from 1650 through 1756, in one hand, a note "Joseph Lovett was of Beverly, and a minister in a town of Connecticut the name of which I do not recollect. JW" in a different hand, and a final note "I believe there was a Lovett at Norwich" in the original hand.

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Thirteen slips of paper with fragments of handwritten alphabetical lists created by Isaac Smith presumably in his capacity as Harvard Librarian. Most of the entries are surnames or single-word subjects. For example, one slip with "M" entries includes: milway, miracles, miraculous, Mitchell, and Mitchell. Some of the lists have struck-through words or have entries annotated with numbers and the abbreviations "o" and "bk." The verso of one leaf has a brief, undated note regarding the transfer of books between Mr. Hilliard and Mr. Smith.

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Some of the songs have unaccompanied melodies.

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Reproductions of tables from Nippur belonging to the Babylonian section of the University museum of the University of Pennsylvania. S. N. Kramer has grouped the plates in their present arrangement and has contributed the introductory descriptions of the text. Cf. Foreword.

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"List of abbreviations": p. xiii-xiv.