265 resultados para Karel Zeman


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Thesis (doctoral)--Rijksuniversiteit te Leiden, 1908.

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Thesis (doctoral)--Rijks-Universiteit te Utrecht.

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In this paper we present the design and analysis of an intonation model for text-to-speech (TTS) synthesis applications using a combination of Relational Tree (RT) and Fuzzy Logic (FL) technologies. The model is demonstrated using the Standard Yorùbá (SY) language. In the proposed intonation model, phonological information extracted from text is converted into an RT. RT is a sophisticated data structure that represents the peaks and valleys as well as the spatial structure of a waveform symbolically in the form of trees. An initial approximation to the RT, called Skeletal Tree (ST), is first generated algorithmically. The exact numerical values of the peaks and valleys on the ST is then computed using FL. Quantitative analysis of the result gives RMSE of 0.56 and 0.71 for peak and valley respectively. Mean Opinion Scores (MOS) of 9.5 and 6.8, on a scale of 1 - -10, was obtained for intelligibility and naturalness respectively.

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This paper analyzes the relationship between freight accessibility and logistics employment in the US. It develops an accessibility measure relevant for logistics companies based on a gravity model. This allows for an analysis of the accessibility of US counties focusing on four different modes of transportation: road, rail, air, and maritime. Using a Partial Least Squares model, these four different freight accessibility measures are combined into two constructs, continental and intercontinental freight accessibility, and related to logistics employment. Results show that highly accessible counties attract more logistics employment than other counties. The analyses show that it is very important to control for the effect of the county population on both freight accessibility and logistics employment. While county population explains the most variation in the logistics employment per county, there is a significant relationship between freight accessibility and logistics employment, when controlling for this effect.

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Extremely low summer sea-ice coverage in the Arctic Ocean in 2007 allowed extensive sampling and a wide quasi-synoptic hydrographic and d18O dataset could be collected in the Eurasian Basin and the Makarov Basin up to the Alpha Ridge and the East Siberian continental margin. With the aim of determining the origin of freshwater in the halocline, fractions of river water and sea-ice meltwater in the upper 150 m were quantified by a combination of salinity and d18O in the Eurasian Basin. Two methods, applying the preformed phosphate concentration (PO*) and the nitrate-to-phosphate ratio (N/P), were compared to further differentiate the marine fraction into Atlantic and Pacific-derived contributions. While PO*-based assessments systematically underestimate the contribution of Pacific-derived waters, N/P-based calculations overestimate Pacific-derived waters within the Transpolar Drift due to denitrification in bottom sediments at the Laptev Sea continental margin. Within the Eurasian Basin a west to east oriented front between net melting and production of sea-ice is observed. Outside the Atlantic regime dominated by net sea-ice melting, a pronounced layer influenced by brines released during sea-ice formation is present at about 30 to 50 m water depth with a maximum over the Lomonosov Ridge. The geographically distinct definition of this maximum demonstrates the rapid release and transport of signals from the shelf regions in discrete pulses within the Transpolar Drift. The ratio of sea-ice derived brine influence and river water is roughly constant within each layer of the Arctic Ocean halocline. The correlation between brine influence and river water reveals two clusters that can be assigned to the two main mechanisms of sea-ice formation within the Arctic Ocean. Over the open ocean or in polynyas at the continental slope where relatively small amounts of river water are found, sea-ice formation results in a linear correlation between brine influence and river water at salinities of about 32 to 34. In coastal polynyas in the shallow regions of the Laptev Sea and southern Kara Sea, sea-ice formation transports river water into the shelf's bottom layer due to the close proximity to the river mouths. This process therefore results in waters that form a second linear correlation between brine influence and river water at salinities of about 30 to 32. Our study indicates which layers of the Arctic Ocean halocline are primarily influenced by sea-ice formation in coastal polynyas and which layers are primarily influenced by sea-ice formation over the open ocean. Accordingly we use the ratio of sea-ice derived brine influence and river water to link the maximum in brine influence within the Transpolar Drift with a pulse of shelf waters from the Laptev Sea that was likely released in summer 2005.

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Esta tesis tiene como finalidad profundizar en la regulación emocional de la tristeza, el enfado y la preocupación de los niños con altas capacidades intelectuales (AC). Además, estos se clasificaron según su estilo de relación social en: pasivos, asertivos o agresivos, y se comprobó la relación entre inhibición emocional y pasividad en la muestra. Para ello se recogió información sobre un total de 203 niños de la Comunidad de Madrid, de 9 a 11 años de edad. 101 con un CI > 129, evaluados a través de la Escala de Inteligencia de Wechsler para niños (2005), adaptación española de Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV, Wechsler, 2003), y 102 sujetos del mismo rango de edad, con capacidad intelectual media (CM) (CI 100-128). Para medir por separado las estrategias de gestión de las tres emociones, se usaron las Escalas de Manejo Emocional para Niños (EME): tristeza, enfado y preocupación (Children’s Emotion Management Scales (CEMS): sadness (CSMS), anger (CAMS) and worry (CWMS), Zeman, Shipman y Penza-Clyve, 2001; Zeman, Cassano, Suveg, y Shipman, 2010). Para estudiar las habilidades sociales de los sujetos, se escogió el Cuestionario para Evaluar la Asertividad (CEA, De la Peña, Hernández y Rodríguez, 2003), adaptación española del Childreńs Assertive Behaviour Scale, CABS, (Wood, Michelson y Flynn, 1978)...

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Après avoir présenté brièvement deux courants conceptuels à propos de l’intelligence émotionnelle (IÉ), nous abordons l’impact de celle-ci sur sept aspects du monde du travail : le leadership, la formation du personnel, la sélection du personnel, le rendement à la tâche, la gestion des conflits, les attitudes au travail et le bien-être au travail. Alors que l’intelligence émotionnelle promettait au départ de bouleverser le monde du travail, un grand nombre d’études montre que celle-ci ne fait pas le poids, particulièrement au plan de sa validité. Comparée à la valeur prédictive du quotient intellectuel (QI), l’intelligence émotionnelle montre un faible pouvoir prédicteur, en dépit des instruments judicieux que ses promoteurs ont mis au point pour mesurer ses effets.

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Après avoir présenté brièvement deux courants conceptuels à propos de l’intelligence émotionnelle (IÉ), nous abordons l’impact de celle-ci sur sept aspects du monde du travail : le leadership, la formation du personnel, la sélection du personnel, le rendement à la tâche, la gestion des conflits, les attitudes au travail et le bien-être au travail. Alors que l’intelligence émotionnelle promettait au départ de bouleverser le monde du travail, un grand nombre d’études montre que celle-ci ne fait pas le poids, particulièrement au plan de sa validité. Comparée à la valeur prédictive du quotient intellectuel (QI), l’intelligence émotionnelle montre un faible pouvoir prédicteur, en dépit des instruments judicieux que ses promoteurs ont mis au point pour mesurer ses effets.

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Rivers represent a transition zone between terrestric and aquatic environments, and between methane rich and methane poor environments. The Elbe River is one of the important rivers draining into the North Sea and with the Elbe potentially high amounts of methane could be imported into the water column of the North Sea. Twelve cruises from October 2010 until June 2013 were conducted from Hamburg towards the Elbe mouth at Cuxhaven. The dynamic of methane concentration in the water column and its consumption via methane oxidation was measured. In addition, physico-chemical parameters were used to estimate their influence on the methanotrophic activity. We observed high methane concentrations at the stations in the area of Hamburg harbor ("inner estuary") and about 10 times lower concentrations in the outer estuary (median of 416 versus 40 nmol/L). The methane oxidation (MOX) rate mirrowed the methane distribution with high values in the inner estuary and low values in the outer estuary (median of 161 versus 10 nmol/L/d respectively) Methane concentrations were significantly influenced by the river hydrology (falling water level) and the trophic state of the water (biological oxygen demand). In contrast to other studies no clear relation to the amount of suspendended particulate matter (SPM) was found. Methane oxidation rates were significantly influenced by methane concentration and to a weaker extent by temperature. Methane oxidation accounted for 41 ± 12% of the total loss of methane in summer/fall, but only for 5 ± 3% of the total loss in winter/spring. We applied a modified box model taking into account the residence times of a water parcel depending on discharge and tidal impact. We observed almost stable methane concentrations in the outer estuary, despite a strong loss of methane through diffusion and oxidation. Thus we postulate that in the outer Elbe estuary a strong additional input of methane is required, which could be provided by the extensive salt marshes near the river mouth.

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Trace-element content in igneous quartz from granitoids of different geochemical types from Bohemian Massif (Central Evrope) was investigated using the laser ablation ICP-MS technique. Two laboratories (Geological Survey of Norway, Trondheim, and Institute of Geology of the Academy of Science of Czech Republic, Praha) were involved in the trace-element (Li, Be, B, Mn, Ge, Rb, Ba, Pb, Mg, Al, P, Ca, Ti, Fe, and Sn) analyses of quartz (altogether, ~300 analyses of 17 rock samples). About 200 representative analyses of quartz are given in Tables 1 and 2.