882 resultados para Bio(muco)bioadhesion measurements
Resumo:
Revisa los acontecimientos recientes de la pesquería de anchoveta a la luz de las investigaciones contínuas realizadas y de las conclusiones del terce informe del Panel de Expertos en dinámica de poblaciones.
Resumo:
Given the adverse impact of image noise on the perception of important clinical details in digital mammography, routine quality control measurements should include an evaluation of noise. The European Guidelines, for example, employ a second-order polynomial fit of pixel variance as a function of detector air kerma (DAK) to decompose noise into quantum, electronic and fixed pattern (FP) components and assess the DAK range where quantum noise dominates. This work examines the robustness of the polynomial method against an explicit noise decomposition method. The two methods were applied to variance and noise power spectrum (NPS) data from six digital mammography units. Twenty homogeneously exposed images were acquired with PMMA blocks for target DAKs ranging from 6.25 to 1600 µGy. Both methods were explored for the effects of data weighting and squared fit coefficients during the curve fitting, the influence of the additional filter material (2 mm Al versus 40 mm PMMA) and noise de-trending. Finally, spatial stationarity of noise was assessed.Data weighting improved noise model fitting over large DAK ranges, especially at low detector exposures. The polynomial and explicit decompositions generally agreed for quantum and electronic noise but FP noise fraction was consistently underestimated by the polynomial method. Noise decomposition as a function of position in the image showed limited noise stationarity, especially for FP noise; thus the position of the region of interest (ROI) used for noise decomposition may influence fractional noise composition. The ROI area and position used in the Guidelines offer an acceptable estimation of noise components. While there are limitations to the polynomial model, when used with care and with appropriate data weighting, the method offers a simple and robust means of examining the detector noise components as a function of detector exposure.
Resumo:
Tiivistelmä: TDR-mittausten kalibrointi viljeltyjen turvemaiden kosteuden mittaamiseen
Resumo:
El monitoreo se realizó en agosto 2007, a bordo de la L/P IMARPE IV, desde La Yarada hasta 40 mn frente a Quilca. La temperatura superficial varió de 13,7 a 16,4 °C, menores valores (<14,5 °C) se registraron entre Tancona y Quilca dentro de las 15 mn y mayores (>16 °C) entre Punta Coles y el Dominio Marítimo Sur por fuera de 20 mn. Las anomalías térmicas variaron de -1,4 a -0,8 °C. La gradiente térmica vertical estuvo conformada por 3 isotermas (14 a 16 °C), la isolínea de 15 °C se presentó entre la superficie (zonas costeras) y 35 m. La anchoveta tuvo mayor distribución hasta 40 mn frente a Mollendo, dentro de las 5 mn se ubicó mezclada con múnida, principalmente frente a Playa Tacna y Mollendo.
Resumo:
Da a conocer algunos parámetros de la dinámica - poblacional de este crustáceo en la zona central del litoral peruano, tales como: estructura poblacional, densidad, crecimiento, reproducción, ciclo sexual y comportamiento. Así mismo, referir la comunidad biótica de la Playa arenosa estudiada y dar a conocer el valor nutritivo de la especie en cuestión.
Resumo:
En este estudio se muestra la variabilidad oceanográfica que se presenta en Lambayeque. Se evidenció con la generación del evento frío La Niña, después que se registrara el arribo de ondas Kelvin hacia la costa desde fines del 2009, lo que se llegó a considerar como la ocurrencia de un evento El Niño de intensidad moderada. Esta situación propició que los recursos pesqueros se ausentaran de sus áreas habituales de pesca, sumado a la presencia de oleajes anómalos y fuertes vientos que dificultaron las faenas de pesca. Durante el 2010, la Extensión Sur de la Corriente de Cromwell (ESCC) se presentó moderadamente fortalecida en marzo, evidenciada por la relativa alta concentración de oxígeno disuelto en las áreas más profundas de San José, situación inusual para la época en la zona. La proyección de la ESCC se vio intensificada en abril, pero comenzó a debilitarse en junio hasta ausentarse en noviembre, como se puede deducir de los valores de oxígeno encontrados cerca del fondo durante las prospecciones realizadas.
Resumo:
Canadian healthcare is changing. Over the course of the past decade, the Health Care in Canada Survey (HCIC) has annually measured the reactions of the public and professional stakeholders to many of these change forces. In HCIC 2008, for the first time, the public's perception of their health status and all stakeholders' views of the burden and effective management of chronic diseases were sought. Overall, Canadians perceive themselves as healthy, with 84% of adults reporting good-to-excellent health. However, good health decreased with age as the occurrence of chronic illness rose, from 12% in the age group 18-24 to 65% for the population =65 years. More than 70% of all stakeholders were strongly or somewhat supportive of the implementation of coordinated care, or disease management programs, to improve the care of patients with chronic illnesses. Concordant support was also expressed for key disease management components, including coordinated interventions to improve home, community and self-care; increased wellness promotion; and increased use of clinical measurements and feedback to all stakeholders. However, there were also important areas of non-concordance. For example, the public and doctors consistently expressed less support than other stakeholders for the value of team care, including the use of non-physician professionals to provide patient care; increased patient involvement in decision-making; and the use of electronic health records to facilitate communication. The actual participation in disease management programs averaged 34% for professionals and 25% for the public. We conclude that chronic diseases are common, age-related and burdensome in Canada. Disease management or coordinated intervention often delivered by teams is also relatively common, despite its less-than-universal acceptance by all stakeholders. Further insights are needed, particularly into the variable perceptions of the value and efficacy of team-delivered healthcare and its important components.
Resumo:
BACKGROUND: Hyperoxaluria is a major risk factor for kidney stone formation. Although urinary oxalate measurement is part of all basic stone risk assessment, there is no standardized method for this measurement. METHODS: Urine samples from 24-h urine collection covering a broad range of oxalate concentrations were aliquoted and sent, in duplicates, to six blinded international laboratories for oxalate, sodium and creatinine measurement. In a second set of experiments, ten pairs of native urine and urine spiked with 10 mg/L of oxalate were sent for oxalate measurement. Three laboratories used a commercially available oxalate oxidase kit, two laboratories used a high-performance liquid chromatography (HPLC)-based method and one laboratory used both methods. RESULTS: Intra-laboratory reliability for oxalate measurement expressed as intraclass correlation coefficient (ICC) varied between 0.808 [95% confidence interval (CI): 0.427-0.948] and 0.998 (95% CI: 0.994-1.000), with lower values for HPLC-based methods. Acidification of urine samples prior to analysis led to significantly higher oxalate concentrations. ICC for inter-laboratory reliability varied between 0.745 (95% CI: 0.468-0.890) and 0.986 (95% CI: 0.967-0.995). Recovery of the 10 mg/L oxalate-spiked samples varied between 8.7 ± 2.3 and 10.7 ± 0.5 mg/L. Overall, HPLC-based methods showed more variability compared to the oxalate oxidase kit-based methods. CONCLUSIONS: Significant variability was noted in the quantification of urinary oxalate concentration by different laboratories, which may partially explain the differences of hyperoxaluria prevalence reported in the literature. Our data stress the need for a standardization of the method of oxalate measurement.
Resumo:
Glioma cell lines are an important tool for research in basic and translational neuro-oncology. Documentation of their genetic identity has become a requirement for scientific journals and grant applications to exclude cross-contamination and misidentification that lead to misinterpretation of results. Here, we report the standard 16 marker short tandem repeat (STR) DNA fingerprints for a panel of 39 widely used glioma cell lines as reference. Comparison of the fingerprints among themselves and with the large DSMZ database comprising 9 marker STRs for 2278 cell lines uncovered 3 misidentified cell lines and confirmed previously known cross-contaminations. Furthermore, 2 glioma cell lines exhibited identity scores of 0.8, which is proposed as the cutoff for detecting cross-contamination. Additional characteristics, comprising lack of a B-raf mutation in one line and a similarity score of 1 with the original tumor tissue in the other, excluded a cross-contamination. Subsequent simulation procedures suggested that, when using DNA fingerprints comprising only 9 STR markers, the commonly used similarity score of 0.8 is not sufficiently stringent to unambiguously differentiate the origin. DNA fingerprints are confounded by frequent genetic alterations in cancer cell lines, particularly loss of heterozygosity, that reduce the informativeness of STR markers and, thereby, the overall power for distinction. The similarity score depends on the number of markers measured; thus, more markers or additional cell line characteristics, such as information on specific mutations, may be necessary to clarify the origin.
Resumo:
Redshifts for 100 galaxies in 10 clusters of galaxies are presented based on data obtained between March 1984 and March 1985 from Calar Alto, La Palma, and ESO, and on data from Mauna Kea. Data for individual galaxies are given, and the accuracy of the velocities of the four instruments is discussed. Comparison with published data shows the present velocities to be shifted by + 4.0 km/s on average, with a standard deviation in the difference of 89.7 km/s, consistent with the rms of redshift measurements which range from 50-100 km/s.