164 research outputs found
On the Structure of Spatial Branching Processes
The paper is a contribution to the theory of branching processes
with discrete time and a general phase space in the sense of [2]. We
characterize the class of regular, i.e. in a sense sufficiently random, branching
processes (Φk) k∈Z by almost sure properties of their realizations without
making any assumptions about stationarity or existence of moments.
This enables us to classify the clans of (Φk) into the regular part and the
completely non-regular part. It turns out that the completely non-regular
branching processes are built up from single-line processes, whereas the
regular ones are mixtures of left-tail trivial processes with a Poisson family
structure
Predictors of work ability in occupations with psychological stress
Aim: This study aimed to detect health- and work-related predictors of poor and good work ability in teachers (TE) and office workers (OW). Method: Work ability and its influence factors were analyzed in 100 female TE and 60 female OW aged between 25 and 60 years. The work ability was evaluated with the work ability index questionnaire and the health status with the vitality measurement system®. In addition, cardiac risk factors, burnout risk, as well as the working demands and effort-reward ratio were taken into account. Predictors of work ability were analyzed by using a CHAID analysis. The number of complaints represents the best predictor to divide both occupational groups into subgroups with different work abilities (criterion variable). Results: Poor work ability is caused by many complaints and cardiovascular risk factors. By contrast, excellent work ability is associated with few complaints, the occupation “office workers,” a younger vital functional age, and the absence of burnout symptoms, which means in comparison with OW, TE have a 1.6 times higher risk for impaired work ability. Furthermore, the absence of burnout symptoms is a resource of TE, whereas OWs tend to have a younger vital functional age compared to their calendrical age. Although this analysis is able to explain 61.2% of the influence on impaired work ability, research for further causes must be undertaken. Conclusion: The results reflect the positive effect of a high educational level and a challenging job on the preservation of good work ability. Moreover, they draw the attention to the psychological and psychosocial strains of TE. TEs are exposed more frequently to feeling overstrained; this probably effects a higher retirement rate due to illness
Evaluation of Arctic land snow cover characteristics, surface albedo and temperature during the transition seasons from regional climate model simulations and satellite data
This paper evaluates the simulated Arctic land snow cover duration, snow water equivalent, snow cover fraction, surface albedo and land surface temperature in the regional climate model HIRHAM5 during 2008-2010, compared with various satellite and reanalysis data and one further regional climate model (COSMO-CLM). HIRHAM5 shows a general agreement in the spatial patterns and annual course of these variables, although distinct biases for specific regions and months are obvious. The most prominent biases occur for east Siberian deciduous forest albedo, which is overestimated in the simulation for snow covered conditions in spring. This may be caused by the simplified albedo parameterization (e.g. non-consideration of different forest types and neglecting the effect of fallen leaves and branches on snow for deciduous tree forest). The land surface temperature biases mirror the albedo biases in their spatial and temporal structures. The snow cover fraction and albedo biases can explain the simulated land surface temperature bias of ca. -3 °C over the Siberian forest area in spring
Towards an aviation weather forecast for green operations
Aviation contributes about 3.5% of the total anthropogenic global warming through both CO2 and non-CO2 effects. This problem is aggravated by the large growth rate of the aviation sector (>4% per year), which was only temporarily interrupted by the Covid-19 pandemic. It is evident that measures need to be taken to lessen the climate impact by aviation.
CO2 has a very long residence time, such that its climate impact does not depend on when and where it is emitted. In contrast, non-CO2 emissions act on shorter time scales and their effect thus depends on the weather and synoptic situation at the time and location of the emission. This is particularly evident for contrails whose individual impacts range from strong cooling to strong warming, depending on the actual situation. It is thus possible to lessen the climate impact of aviation by planning flights such that climate-sensitive regions (i.e. regions where emissions would have a particularly strong warming impact) are avoided. To make such ideas real, new developments in aviation weather forecast are needed.
One example is the implementation of so-called algorithmic climate change functions which provide measures of potential climate impact of emissions depending on actual weather variables (e.g. temperature and geopotential). The result can be provided in different ways, e.g. as costs, such that they can be used directly as additional cost-functions in flight routing.
Another example is the prediction of persistent contrails in order to avoid them either tactically (by directives of air traffic control to pilots en-route) or strategically (as above, during flight routing). As one requirement for contrail persistence is ice supersaturation, this atmospheric state must be represented by the numerical weather prediction models, which is currently challenging. Another possibility is a probabilistic prediction of contrails using the standard weather variables.
In this talk we will present how ideas from several projects for a better mitigation of contrails and other aviation non-CO2 effects on climate can be incorporated into aviation weather forecast models
Feasibility of climate-optimized air traffic routing for trans-Atlantic flights
Current air traffic routing is motivated by minimizing economic costs, such as fuel use. In addition
to the climate impact of CO2 emissions from this fuel use, aviation contributes to climate change
through non-CO2 impacts, such as changes in atmospheric ozone and methane concentrations and
formation of contrail-cirrus. These non-CO2 impacts depend significantly on where and when the
aviation emissions occur. The climate impact of aviation could be reduced if flights were routed to
avoid regions where emissions have the largest impact. Here, we present the first results where a
climate-optimized routing strategy is simulated for all trans-Atlantic flights on 5 winter and
3 summer days, which are typical of representative winter and summer North Atlantic weather
patterns. The optimization separately considers eastbound and westbound flights, and accounts for
the effects of wind on the flight routes, and takes safety aspects into account. For all days
considered, we find multiple feasible combinations of flight routes which have a smaller overall
climate impact than the scenario which minimizes economic cost. We find that even small changes
in routing, which increase the operating costs (mainly fuel) by only 1% lead to considerable
reductions in climate impact of 10%. This cost increase could be compensated by market-based
measures, if costs for non-CO2 climate impacts were included. Our methodology is a starting point
for climate-optimized flight planning, which could also be applied globally. Although there are
challenges to implementing such a system, we present a road map with the steps to overcome these
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Effects of cold atmospheric pressure plasma and disinfecting agents on Candida albicans in root canals of extracted human teeth
Reinfection in endodontically treated teeth is linked to the complexity of the root canal system, which is problematic to reach with conventional disinfection methods. As plasma is expected to have the ability to sanitize narrow areas, the aim of this study was to analyze the effect of cold atmospheric pressure plasma (CAP) on Candida albicans in root canals of extracted human teeth. CAP was applied as mono treatment and in combination with standard endodontic disinfectants (sodium hypochlorite, chlorhexidine and octenidine). Disinfection efficiency was evaluated as reduction of the logarithm of colony forming units per milliliter (log10 CFU/mL) supported by scanning electron microscopy as imaging technique. Plasma alone showed the highest reduction of log10 CFU, suggesting the best disinfection properties of all tested agents. © 2020 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH
COVID-19 pandemic: Lessons for spatial development
Background and aims of this position paper: Since the COVID-19 pandemic began, it has become ever clearer that it poses an enormous challenge for society. The lockdown imposed on large parts of public life, which hit all social groups and institutions relatively abruptly with a wide range of impacts, as well as the measures adopted subsequently have resulted in radical changes in our living conditions. In some cases, the crisis has acted as an accelerator of trends affecting processes that were already ongoing: the digitalisation of communications and educational processes, the growth in working from home and mobile working arrangements, the expansion of online retail, changes in travel behaviour (in favour of cars and bicycles), and the establishment of regional service networks. At the same time, there has been a braking effect on sectors such as long-distance travel, global trade, trade fairs and cultural events, as well as on progress towards gender equality in the division of labour for household responsibilities and childcare. Socio-spatial, infrastructural, economic and ecological effects are becoming increasingly apparent. For those involved in spatial development and spatial planning, urgent questions arise not only about the weaknesses that have become apparent in our spatial uses in terms of infrastructure and public service provision, the economy and ecology, and in our ways of life in terms of housing and the supply of goods and services, but also about what opportunities have emerged for sustainable and self-determined lifestyles. What conclusions for anticipatory and preventive planning can be drawn from these (provisional) findings? Using a critical, multidisciplinary and integrative examination of the spatially-relevant effects of the COVID-19 pandemic, this paper establishes connections between the crisis management of today and crisis preparedness concepts for potential future pandemics. Building on that, it proposes corresponding recommended actions. These actions relate not only to insights for medium-term space-related crisis management but also to conclusions on long-term strategic challenges for spatial development in view of pandemics to be expected in the future. For this position paper, the 'Pandemic and Spatial Development' Ad hoc Working Group at the ARL - Academy for Territorial Development in the Leibniz Association has compiled interdisciplinary perspectives from spatial development and spatial planning, public health services, epidemiology, economics and social sciences, and has condensed them into transdisciplinary recommendations for action. These recommendations are directed at the various action levels for spatial development and spatial planning
The G534E polymorphism of the gene encoding the factor VII–activating protease is associated with cardiovascular risk due to increased neointima formation
The G534E polymorphism (Marburg I [MI]) of factor VII–activating protease (FSAP) is associated with carotid stenosis and cardiovascular disease. We have previously demonstrated that FSAP is present in atherosclerotic plaques and it is a potent inhibitor of vascular smooth muscle proliferation and migration in vitro. The effect of wild-type (WT)- and MI-FSAP on neointima formation in the mouse femoral artery after wire-induced injury was investigated. Local application of WT-FSAP led to a 70% reduction in the neointima formation, and this effect was dependent on the protease activity of FSAP. MI-FSAP did not inhibit neointima formation in vivo. This is due to a reduced proteolytic activity of MI-FSAP, compared to WT-FSAP, toward platelet-derived growth factor BB, a key mediator of neointima development. The inability of MI-FSAP to inhibit vascular smooth muscle accumulation explains the observed linkage between the MI-polymorphism and increased cardiovascular risk. Hence, FSAP has a protective function in the vasculature, and analysis of MI polymorphism is likely to be clinically relevant in restenosis
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