950 resultados para Particle in Central Field
Resumo:
AIM: The aim of this study was to analyse the character of assault-related facial fractures in central Switzerland and to compare their prevalence with the data presented in similar reports from other countries. MATERIAL: The present study comprised 65 patients with assault-related maxillofacial fractures treated in the Department of Cranio-Maxillofacial Surgery, University Hospital of Bern between 2000 and 2002. METHODS: The mechanism, the causes of the injuries and the location of the fractures were analysed by reviewing emergency and hospital records. Concomitant injuries were also studied. RESULTS: The mean age of the patients was 33 years with the largest group being below 25 years. The male-to-female ratio was 56:9. The most common causes of assault-related injuries were fights, most frequently facial blows, accounting for 92.5% of all patients. Seventy-six per cent of the fractures occurred in the middle and upper facial skeleton with a predominance of 2:1 for the left side. In 39 patients (60%) surgery was necessary, with a mean hospital stay of 3.3 days. Thirty-five patients (54%) had concomitant injuries. Alcohol and drug abuse was found in 15 patients (23%). CONCLUSION: It seems that mostly young men suffer assault-related maxillofacial injuries. A contributing factor to the increased disposition for violence could be alcohol and drug abuse. Therefore, national prevention programmes for alcohol or drug abuse and addiction might have a positive effect on reducing the incidence of assault-related maxillofacial injuries.
Sedimentological and palynological constraints on the basal Triassic sequence in Central Switzerland
Resumo:
Pacific salmon populations have declined due to human activity in the Pacific Northwest, resulting in decreased delivery of marine-derived nutrients to streams. Managers use artificial nutrient additions to increase juvenile salmon growth and survival and assume that added nutrients stimulate biofilm production, which propagates up the food web to juvenile salmon. We assessed biofilm responses (standing crop, nutrient limitation, and metabolism) to experimental additions of salmon carcass analog in tributaries of the Salmon River, Idaho in 2010 and 2011. Biofilm standing crop and nutrient limitation did not respond to analog, but primary productivity and respiration increased in the subset of streams where they were measured. Discrepancies between biofilm productivity and standing crop may occur if standing crop is constrained by physical and biological factors. Thus, conclusions about biofilm response to analog should not be based on standing crop alone and mitigation research may benefit from nutrient budgets of entire watersheds.
Resumo:
Accurate seasonal to interannual streamflow forecasts based on climate information are critical for optimal management and operation of water resources systems. Considering most water supply systems are multipurpose, operating these systems to meet increasing demand under the growing stresses of climate variability and climate change, population and economic growth, and environmental concerns could be very challenging. This study was to investigate improvement in water resources systems management through the use of seasonal climate forecasts. Hydrological persistence (streamflow and precipitation) and large-scale recurrent oceanic-atmospheric patterns such as the El Niño/Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), North Atlantic Oscillation (NAO), the Atlantic Multidecadal Oscillation (AMO), the Pacific North American (PNA), and customized sea surface temperature (SST) indices were investigated for their potential to improve streamflow forecast accuracy and increase forecast lead-time in a river basin in central Texas. First, an ordinal polytomous logistic regression approach is proposed as a means of incorporating multiple predictor variables into a probabilistic forecast model. Forecast performance is assessed through a cross-validation procedure, using distributions-oriented metrics, and implications for decision making are discussed. Results indicate that, of the predictors evaluated, only hydrologic persistence and Pacific Ocean sea surface temperature patterns associated with ENSO and PDO provide forecasts which are statistically better than climatology. Secondly, a class of data mining techniques, known as tree-structured models, is investigated to address the nonlinear dynamics of climate teleconnections and screen promising probabilistic streamflow forecast models for river-reservoir systems. Results show that the tree-structured models can effectively capture the nonlinear features hidden in the data. Skill scores of probabilistic forecasts generated by both classification trees and logistic regression trees indicate that seasonal inflows throughout the system can be predicted with sufficient accuracy to improve water management, especially in the winter and spring seasons in central Texas. Lastly, a simplified two-stage stochastic economic-optimization model was proposed to investigate improvement in water use efficiency and the potential value of using seasonal forecasts, under the assumption of optimal decision making under uncertainty. Model results demonstrate that incorporating the probabilistic inflow forecasts into the optimization model can provide a significant improvement in seasonal water contract benefits over climatology, with lower average deficits (increased reliability) for a given average contract amount, or improved mean contract benefits for a given level of reliability compared to climatology. The results also illustrate the trade-off between the expected contract amount and reliability, i.e., larger contracts can be signed at greater risk.
Resumo:
The geosciences are often characterized as a visuospatial field - that is, one in which success depends upon the ability to mentally manipulate, rotate, project, and bend objects. To what extent is the assumption of strong spatial visualization skills among geoscientists correct? This talk will discuss two studies that investigated geoscience expert and novice spatial visualization, both in laboratory experiments and in a novel field study.