Combined Vertical And Lateral Channel Evolution Numerical Modeling

Vertical stream bed erosion has been studied routinely and its modeling is getting widespread acceptance. The same cannot be said with lateral stream bank erosion since its measurement or numerical modeling is very challenging. Bank erosion, however, can be important to channel morphology. It may contribute significantly to the overall sediment budget of a stream, is a leading cause of channel migration, and is the cause of major channel maintenance. However, combined vertical and lateral channel evolution is seldom addressed. In this study, a new geofluival numerical model is developed to simulate combined vertical and lateral channel evolution. Vertical erosion is predicted with a 2D depth-averaged model SRH-2D, while lateral erosion is simulated with a linear retreat bank erosion model developed in this study. SRH-2D and the bank erosion model are coupled together both spatially and temporally through a common mesh and the same time advancement. The new geofluvial model is first tested and verified using laboratory meander channels; good agreement are obtained between predicted bank retreat and measured data. The model is then applied to a 16-kilometer reach of Chosui River, Taiwan. Vertical and lateral channel evolution during a three-year period (2004 to 2007) is simulated and results are compared with the field data. It is shown that the geofluvial model correctly captures all major erosion and deposition patterns. The new model is shown to be useful for identifying potential erosion sites and providing information for river maintenance planning.

Effect of Flasking and Polymerization Techniques on Tooth Movement in Complete Denture Processing

Purpose: The purpose of this study was to compare the artificial tooth positional changes following the flasking and polymerization of complete dentures by a combination of two flasking methods and two polymerization techniques using computer graphic measurements.Materials and Methods: Four groups of waxed complete dentures (n = 10) were invested and polymerized using the following techniques: (1) adding a second investment layer of gypsum and conventional water bath polymerization (Control), (2) adding a second investment layer of gypsum and polymerization with microwave energy (Gyp-micro), (3) adding a second investment layer of silicone (Zetalabor) and conventional polymerization (Silwater), and (4) adding a second investment layer of silicone and polymerization with microwave energy (Silmicro). For each specimen, six segments of interdental distances (A to F) were measured to determine the artificial tooth positions in the waxed and polymerized stages using software program AutoCad R14. The mean values of the changes were statistically compared by univariate ANOVA with Tukey post-hoc test at 5% significance.Results: There were no significant differences among the four groups, except for segment D of the Silmicro group (-0.004 +/- 0.032 cm) in relation to the Gypwater group (0.044 +/- 0.031 cm) (p < 0.05), which presented, repectively, expansion and shrinkage after polymerization.Conclusions: Within the limitations of this study, it was concluded that although the differences were not statistically significant, the use of a silicone investment layer when flasking complete dentures resulted in the least positional changes of the artificial teeth regardless of the polymerization technique.

Comportamento ingestivo de bovinos Nelore confinados adaptados com diferentes protocolos à dieta de alto concentrado

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Protocolos de adaptação à dietas com alta inclusão de concentrados para bovinos nelore confinados

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Eficiência reprodutiva de ratos Wistar: sincronização, restrição alimentar e sistemas de produção

Pós-graduação em Zootecnia - FMVZ

Hydrology dataset based on 111 CTD stations in the North Aegean Sea during June 1998 from the project INTERREGAEGEAN

The combination of two research projects offered us the opportunity to perform a comprehensive study of the seasonal evolution of the hydrological structure and the circulation of the North Aegean Sea, at the northern extremes of the eastern Mediterranean. The combination of brackish water inflow from the Dardanelles and the sea-bottom relief dictate the significant differences between the North and South Aegean water columns. The relatively warm and highly saline South Aegean waters enter the North Aegean through the dominant cyclonic circulation of the basin. In the North Aegean, three layers of distinct water masses of very different properties are observed: The 20-50 m thick surface layer is occupied mainly by Black Sea Water, modified on its way through the Bosphorus, the Sea of Marmara and the Dardanelles. Below the surface layer there is warm and highly saline water originating in the South Aegean and the Levantine, extending down to 350-400 m depth. Below this layer, the deeper-than-400 m basins of the North Aegean contain locally formed, very dense water with different i/S characteristics at each subbasin. The circulation is characterised by a series of permanent, semi-permanent and transient mesoscale features, overlaid on the general slow cyclonic circulation of the Aegean. The mesoscale activity, while not necessarily important in enhancing isopycnal mixing in the region, in combination with the very high stratification of the upper layers, however, increases the residence time of the water of the upper layers in the general area of the North Aegean. As a result, water having out-flowed from the Black Sea in the winter, forms a separate distinct layer in the region in spring (lying between "younger" BSW and the Levantine origin water), and is still traceable in the water column in late summer.

Frontiers of the New Economic Geography

This paper presents an overview of recent development in the new economic geography (NEG), and discusses possible directions of its future development. Since there already exist several surveys on this topic, we focus on the selected features of the NEG which are important yet have attracted insufficient attention, and also on the recent refinements and extensions of the framework.

Relación entre la composición química corporal, la fertilidad y la prolificidad en conejas primíparas.

En este trabajo se ha estudiado el efecto de la composición química corporal, estimada mediante el método de impedancia bioeléctrica (BIA) en la primera y segunda inseminación artificial (IA), sobre la fertilidad y la prolificidad de conejas primíparas. Se utilizaron los datos de 137 conejas procedentes de dos granjas que utilizaban dos genéticas distintas (UPV e Hyplus) y tres ritmos reproductivos (R4: inseminación a los 4 días tras el parto y destete a los 28 días, R11: inseminación a los 11 días postparto y destete a 35 días y R14: inseminación a los 14 días tras el parto y destete a los 42 días). La fertilidad media observada en el segundo parto fue de un 56,2% y el porcentaje de nacidos vivos, sobre los nacidos totales, fue de un 87,5%, no encontrándose diferencias entre los ritmos utilizados. El aumento de la proporción de proteína corporal, grasa y energía en la primera IA tuvieron un efecto positivo (P=0,007; P=0,03 y P<0,001, respectivamente) sobre la fertilidad del segundo parto. Igualmente, un mayor contenido en grasa (P<0,001) y energía (P<0,001) en la segunda IA también incrementaron la fertilidad del segundo parto. El incremento del ratio proteína/energía corporal de las conejas, determinado en las dos IA, tuvo un efecto negativo sobre la fertilidad en el segundo parto (P<0,001), observándose mejores resultados en conejas con 12 g proteína/MJ respecto a otras con valores superiores. El porcentaje de nacidos vivos (P<0,001), sobre los nacidos totales, aumentó con la proporción de proteína de las conejas en el momento de la segunda IA, pero esta última no tuvo efecto sobre la fertilidad. This study evaluated the effect of chemical body composition at first and second artificial inseminations (AI), determined by bioelectric impedance technique (BIA), on fertility and prolificacy of primiparous rabbit does. Data of 137 does from two farms using two different genetics (UPV and Hyplus) and three breeding systems were analyzed. Fertility was 56.2 % and the percentage of kits born alive over total born was 87.5 %. Breeding system had no effect on fertility or the percentage of kits born alive. Higher body protein, fat and energy of the rabbit doe at first artificial insemination (AI) increased the fertility in the second parity (P=0.007, P=0.03 and P<0.001 respectively). Fat and energy content of the doe at the second AI affected positively fertility in the second parity (P<0.001 and P<0.001 respectively), while protein influenced positively only prolificacy (P<0.001). The increase of the ratio protein/energy in both AI moments had a negative influence on fertility in the second parity (P<0.001), rabbit does with 12 g protein/MJ showed a higher fertility than those with higher values

Spatial patterns of manufacturing clusters in Vietnam

The formation of industrial clusters is critical for sustained economic growth. We identify the manufacturing clusters in Vietnam, using the Mori and Smith (2013) method, which indicates the spatial pattern of industrial agglomerations using the global extent (GE) and local density (LD) indices. Spatial pattern identification is extremely helpful because industrial clusters are often spread over a wide geographical area and the GE and LD indices—along with cluster mapping—display how the respective clusters fit into specific spatial patterns.

Spatial structures of manufacturing clusters in Cambodia, Lao People's Democratic Republic, and Thailand

Examining the spatial structure of clusters is essential for deriving regional development policy implications. In this study, we identify the manufacturing clusters in Cambodia, the Lao People's Democratic Republic, and Thailand, using two indices—global extent (GE) and local density (LD)—as proposed by Mori and Smith (2013). We also analyze four different combinations of these indices to highlight the spatial structures of industrial agglomerations. Since industrial clusters often spread over administrative boundaries, the GE and LD indices—along with cluster mapping—display how the detected clusters fit into specific spatial structures.