1,298 research outputs found
VARIABILIDAD DE LAS COMUNIDADES DE ERYNGIUM CORNICULATUM EN LA PENÍNSULA IBÉRICA
This work, mainly based on literature sources, studies the variability of the tall Mediterranean amphibious swards characterized by Eryngium corniculatum in the Iberian Peninsula. The data are analyzed by means of multivariate methods.Este trabajo, basado fundamentalmente en la información bibliográfica disponible, estudia mediante análisis numéricos la variabilidad de las comunidades caracterizadas por Eryngium corniculatum en la Península Ibérica
Comprehensive transient-state study for CARMENES-NIR high thermal stability
CARMENES has been proposed as a next-generation instrument for the 3.5m Calar
Alto Telescope. Its objective is finding habitable exoplanets around M dwarfs
through radial velocity measurements (m/s level) in the near-infrared.
Consequently, the NIR spectrograph is highly constraint regarding
thermal/mechanical requirements. As a first approach, the thermal stability has
been limited to \pm 0.01K (within year period) over a working temperature of
243K. This can be achieved by means of several temperature-controlled rooms.
The options considered to minimise the complexity of the thermal design are
here presented, as well as the transient-state thermal analyses realised to
make the best choice
The robustness of objective fabric pilling evaluation method
Previously, we proposed a new method to identify fabric pilling and objectively measure fabric pilling intensity based on the two-dimensional dual-tree complex wavelet reconstruction and neural network classification. Here we further evaluate the robustness of the method. Our results indicate that the pilling identification method is robust to significant variation in the brightness and contrast of the image, rotation of the image, and 2 i (i is an integer) times dilation of the image. The pilling feature vector developed to characterize the pilling intensity is robust to brightness change but is sensitive to large rotations of the image. As long as all fabric images are adjusted to have the same contrast level and the sample is illuminated from the same direction, the pilling feature vectors are comparable and can be used to classify the pilling intensity.<br /
Impact of seasonal hydrological variation on the distributions of tetraether lipids along the Amazon River in the central Amazon basin: implications for the MBT/CBT paleothermometer and the BIT index
Suspended particulate matter (SPM) was collected along the Amazon River in the central Amazon basin and in three tributaries during the rising water (RW), high water (HW), falling water (FW) and low water (LW) season. Changes in the concentration and the distribution of branched glycerol dialkyl glycerol tetraethers (brGDGTs), i.e., the methylation index of branched tetraethers (MBT) and the cyclization of brGDGTs (CBT), were seen in the Amazon main stem. The highest concentration of core lipid (CL) brGDGTs normalized to particulate organic carbon (POC) was found during the HW season. During the HW season the MBT and CBT in the Amazon main stem was also most similar to that of lowland Amazon (terra firme) soils, indicating that the highest input of soil-derived brGDGTs occurred due to increased water runoff. During the other seasons the MBT and CBT indicated an increased influence of in situ production of brGDGTs even though soils remained the main source of brGDGTs. Our results reveal that the influence of seasonal variation is relatively small, but can be clearly detected. Crenarchaeol was mostly produced in the river. Its concentration was lower during the HW season compared to that of the other seasons. Hence, our study shows the complexity of processes that influence the GDGT distribution during the transport from land to ocean. It emphasizes the importance of a detailed study of a river basin to interpret the MBT/CBT and BIT records for paleo reconstructions in adjacent marine setting
Radiación y temperatura diarias: un modelo de correlación estructural
Continuando una línea de investigación iniciada en 1998, en el presente trabajo se realiza un estudio estadístico bivariado de series de radiación promedio y temperatura promedio diarias empleando la metodología del análisis estructural, introducidos por estadísticos comtemporáneos. Se presenta un modelo de correlación entre ambas series para poder generar sintéticamente valores de radiación diarios a partir de valores de temperaturas diarias, efectuando pronósticos con una alta confiabilidad (95%).Following a research line that began in 1998, in this paper a statistical bivariate correlation between diary average radiation an temperature study is done by using the structural analysis methodology, introduced by actual contemporary statisticians. A correlation model between the two variables is presented to generated syntethic diary radiation values from diary temperature values, being able to make forecasting with a high confidential level (95%).Tema 11: Radiación solar y clima.Asociación Argentina de Energías Renovables y Medio Ambiente (ASADES
Radiación y temperatura diarias: un modelo de correlación estructural
Continuando una línea de investigación iniciada en 1998, en el presente trabajo se realiza un estudio estadístico bivariado de series de radiación promedio y temperatura promedio diarias empleando la metodología del análisis estructural, introducidos por estadísticos comtemporáneos. Se presenta un modelo de correlación entre ambas series para poder generar sintéticamente valores de radiación diarios a partir de valores de temperaturas diarias, efectuando pronósticos con una alta confiabilidad (95%).Following a research line that began in 1998, in this paper a statistical bivariate correlation between diary average radiation an temperature study is done by using the structural analysis methodology, introduced by actual contemporary statisticians. A correlation model between the two variables is presented to generated syntethic diary radiation values from diary temperature values, being able to make forecasting with a high confidential level (95%).Tema 11: Radiación solar y clima.Asociación Argentina de Energías Renovables y Medio Ambiente (ASADES
Radiación y temperatura diarias: un modelo de correlación estructural
Continuando una línea de investigación iniciada en 1998, en el presente trabajo se realiza un estudio estadístico bivariado de series de radiación promedio y temperatura promedio diarias empleando la metodología del análisis estructural, introducidos por estadísticos comtemporáneos. Se presenta un modelo de correlación entre ambas series para poder generar sintéticamente valores de radiación diarios a partir de valores de temperaturas diarias, efectuando pronósticos con una alta confiabilidad (95%).Following a research line that began in 1998, in this paper a statistical bivariate correlation between diary average radiation an temperature study is done by using the structural analysis methodology, introduced by actual contemporary statisticians. A correlation model between the two variables is presented to generated syntethic diary radiation values from diary temperature values, being able to make forecasting with a high confidential level (95%).Tema 11: Radiación solar y clima.Asociación Argentina de Energías Renovables y Medio Ambiente (ASADES
Assessing the distribution of the Argentine ant using physiological data
To address the lack of physiological approaches in current models assessing the potential distribution of the Argentine ant, we used data on brood development from distinct sources to evaluate a series of degreeday models for Catalonia (NE Iberian Peninsula), and data on the brood survival and oviposition rates to develop a worker production model. The degree-day model generated using data from Newell and Barber
(1913) and Benois (1973) indicated that the number of degree-days required for the complete development from egg to adult worker was 445.4 degree-days above a threshold of 15.9°C, while the model calibratedusing data from Abril et al. (2008, in press) suggested 599.5 degree-days above 18.4°C. Comparisons between the degree-day model predictions and the currently known distribution of the Argentine ant
suggested that the one generated using data from Newell and Barber (1913) and Benois (1973) overestimated the presence of the species, while the one calibrated using data from Abril et al. (2008; in press)
underestimated it. On the other hand, the predicted daily net production of Argentine ant workers generated by the worker production model predicted more accurately the distribution of the Argentine ant
than the degree-day models. Our results show the utility of incorporating physiological data in models to assess the distribution limits of the Argentine ant, which up to date have taken little account of the
physiological needs of the species in terms of its establishment and dispersion in its introduced ranges.Centre of Excellence for Invasion Biolog
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