602 research outputs found

    Análisis factorial de datos cualitativos: un experimento con datos artificiales

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    In this work some properties and applications of different factor analysis techniques of qualitative data are discussed. Using an artiflcially generated set of data we show that the principal component analysis of the total coincidence matrix (rotated Solutions) and the analysis of correspondences are the most relevant for studies of descriptive ecology.En este trabajo se discuten algunas propiedades y aplicaciones de diferentes técnicas de análisis factorial de datos cualitativos (análisis de componentes principales de la matriz de contingencias múltiples y de coincidencias totales y análisis de correspondencias). Los datos utilizados se han generado de forma artificial, haciendo variar los comportamientos de las variables en sus presencias y ausencias. Se muestra que el análisis de componentes principales de la matriz de coincidencias totales (soluciones rotadas) y el análisis de correspondencias presentan las mayores ventajas de utilización en estudios de tipificación de comunidades en ecología descriptiva

    Perioperative standard oral nutrition supplements versus immunonutrition in patients undergoing colorectal resection in an Enhanced Recovery (ERAS) protocol

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    To compare immunonutrition versus standard high calorie nutrition in patients undergoing elective colorectal resection within an Enhanced Recovery After Surgery (ERAS) program. Despite progress in recent years in the surgical management of patients with colorectal cancer (ERAS programs), postoperative complications are frequent. Nutritional supplements enriched with immunonutrients have recently been introduced into clinical practice. However, the extent to which the combination of ERAS protocols and immunonutrition benefits patients undergoing colorectal cancer surgery is unknown. The SONVI study is a prospective, multicenter, randomized trial with 2 parallel treatment groups receiving either the study product (an immune-enhancing feed) or the control supplement (a hypercaloric hypernitrogenous supplement) for 7 days before colorectal resection and 5 days postoperatively. A total of 264 patients were randomized. At baseline, both groups were comparable in regards to age, sex, surgical risk, comorbidity, and analytical and nutritional parameters. The median length of the postoperative hospital stay was 5 days with no differences between the groups. A decrease in the total number of complications was observed in the immunonutrition group compared with the control group, primarily due to a significant decrease in infectious complications (23.8% vs. 10.7%, P=0.0007). Of the infectious complications, wound infection differed significantly between the groups (16.4% vs. 5.7%, P=0.0008). Other infectious complications were lower in the immunonutrition group but were not statistically significantly different. The implementation of ERAS protocols including immunonutrient-enriched supplements reduces the complications of patients undergoing colorectal resection

    Specificity of the E. coli LysR-Type Transcriptional Regulators

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    Families of paralogous oligomeric proteins are common in biology. How the specificity of assembly evolves is a fundamental question of biology. The LysR-Type Transcriptional Regulators (LTTR) form perhaps the largest family of transcriptional regulators in bacteria. Because genomes often encode many LTTR family members, it is assumed that many distinct homooligomers are formed simultaneously in the same cell without interfering with each other's activities, suggesting specificity in the interactions. However, this assumption has not been systematically tested.A negative-dominant assay with λcI repressor fusions was used to evaluate the assembly of the LTTRs in E. coli K-12. Thioredoxin (Trx)-LTTR fusions were used to challenge the homooligomeric interactions of λcI-LTTR fusions. Eight cI-LTTR fusions were challenged with twenty-eight Trx fusions. LTTRs could be divided into three classes based on their interactions with other LTTRs.Multimerization of LTTRs in E. coli K-12 is mostly specific. However, under the conditions of the assay, many LTTRs interact with more than one noncognate partner. The physiological significance and physical basis for these interactions are not known

    Condiciones laborales de los pacientes con ERCnT que asisten a la Unidad Nacional de AtenciĂłn al Enfermo renal CrĂłnico (Unaerc)

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    La enfermedad renal crónica de causa no tradicional (ERCnT) es de etiología multifactorial y no se conoce con exactitud el factor que la provoca. Se asocia a factores como trabajo agrícola, estrés térmico, deshidratación y exposición a químicos. Este estudio transversal describe las condiciones laborales de pacientes con ERCnT que asisten a terapia de hemodiálisis en Unaerc (previo al inicio del tratamiento), y los factores que pudieron predisponer la enfermedad. Se utilizó un diseño de muestreo no probabilístico por cuotas, obteniendo una muestra de 107 pacientes sin antecedentes de diabetes mellitus y < 60 años. Los resultados mostraron que el 76.6 % (82/107) fueron de género masculino, el 26.2 % (28/107), diagnosticados entre 31-40 años y el 38.3 % (41/107) provenían del departamento de Guatemala. El 24.3 % (26/107) y el 15.9 % (17/107) se dedicaban a trabajos agrícolas y al comercio, respectivamente. La mayoría (26.9 %; 7/26) de los trabajadores agrícolas se dedicaban al corte de caña de azúcar; el 57.9 % (62/107) trabajaban para una institución, donde solamente un 17.8 % (19/107) tenían contrato escrito. El 43 % (46/107) trabajaban 6 días/semana, el 57.9 % (62/107) realizaban jornadas de > 8 h/día y el 56.1 % (60/107) no tenían horas extras remuneradas. El 68.2 % (73/107) ganaba menos del salario mínimo y el 70.1 % (75/107) no recibía prestaciones laborales. El 36.4 % (39/107) estuvo expuesto a químicos, el 91.5 % (98/107) se exponía 8 h/día al sol. Solamente 83.2 % (89/107) descansaba durante la jornada laboral

    Habitat quality differentiation and consequences for ecosystem service provision of an amazonian hyperdominant tree species.

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    Ecosystem services of Amazonian forests are disproportionally produced by a limited set of hyperdominant tree species. Yet the spatial variation in the delivery of ecosystem services by individual hyperdominant species across their distribution ranges and corresponding environmental gradients is poorly understood. Here, we use the concept of habitat quality to unravel the effect of environmental gradients on seed production and aboveground biomass (AGB) of the Brazil nut, one of Amazonia's largest and most long-lived hyperdominants. We find that a range of climate and soil gradients create trade-offs between density and fitness of Brazil nut trees. Density responses to environmental gradients were in line with predictions under the Janzen-Connell and Herms-Mattson hypotheses, whereas tree fitness responses were in line with resource requirements of trees over their life cycle. These trade-offs resulted in divergent responses in area-based seed production and AGB. While seed production and AGB of individual trees (i.e., fitness) responded similarly to most environmental gradients, they showed opposite tendencies to tree density for almost half of the gradients. However, for gradients creating opposite fitness-density responses, area-based seed production was invariable, while trends in area-based AGB tended to mirror the response of tree density. We conclude that while the relation between environmental gradients and tree density is generally indicative of the response of AGB accumulation in a given area of forest, this is not necessarily the case for fruit production

    Regional and large-scale patterns in Amazon forest structure and function are mediated by variations in soil physical and chemical properties

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    Forest structure and dynamics have been noted to vary across the Amazon Basin in an east-west gradient in a pattern which coincides with variations in soil fertility and geology. This has resulted in the hypothesis that soil fertility may play an important role in explaining Basin-wide variations in forest biomass, growth and stem turnover rates. To test this hypothesis and assess the importance of edaphic properties in affect forest structure and dynamics, soil and plant samples were collected in a total of 59 different forest plots across the Amazon Basin. Samples were analysed for exchangeable cations, C, N, pH with various Pfractions also determined. Physical properties were also examined and an index of soil physical quality developed. Overall, forest structure and dynamics were found to be strongly and quantitatively related to edaphic conditions. Tree turnover rates emerged to be mostly influenced by soil physical properties whereas forest growth rates were mainly related to a measure of available soil phosphorus, although also dependent on rainfall amount and distribution. On the other hand, large scale variations in forest biomass could not be explained by any of the edaphic properties measured, nor by variation in climate. A new hypothesis of self-maintaining forest dynamic feedback mechanisms initiated by edaphic conditions is proposed. It is further suggested that this is a major factor determining forest disturbance levels, species composition and forest productivity on a Basin wide scale

    Does the disturbance hypothesis explain the biomass increase in basin-wide Amazon forest plot data?

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    Positive aboveground biomass trends have been reported from old-growth forests across the Amazon basin and hypothesized to reflect a large-scale response to exterior forcing. The result could, however, be an artefact due to a sampling bias induced by the nature of forest growth dynamics. Here, we characterize statistically the disturbance process in Amazon old-growth forests as recorded in 135 forest plots of the RAINFOR network up to 2006, and other independent research programmes, and explore the consequences of sampling artefacts using a data-based stochastic simulator. Over the observed range of annual aboveground biomass losses, standard statistical tests show that the distribution of biomass losses through mortality follow an exponential or near-identical Weibull probability distribution and not a power law as assumed by others. The simulator was parameterized using both an exponential disturbance probability distribution as well as a mixed exponential–power law distribution to account for potential large-scale blowdown events. In both cases, sampling biases turn out to be too small to explain the gains detected by the extended RAINFOR plot network. This result lends further support to the notion that currently observed biomass gains for intact forests across the Amazon are actually occurring over large scales at the current time, presumably as a response to climate change
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