7,821 research outputs found
The Garching-Bonn Deep Survey (GaBoDS) Wide-Field-Imaging Reduction Pipeline
We introduce our publicly available Wide-Field-Imaging reduction pipeline
THELI. The procedures applied for the efficient pre-reduction and astrometric
calibration are presented. A special emphasis is put on the methods applied to
the photometric calibration. As a test case the reduction of optical data from
the ESO Deep Public Survey including the WFI-GOODS data is described. The
end-products of this project are now available via the ESO archive Advanced
Data Products section.Comment: 6 pages, 3 figures, proceedings of ESO Calibration Workshop 200
Resilience markers for safer systems and organisations
If computer systems are to be designed to foster resilient
performance it is important to be able to identify contributors to resilience. The
emerging practice of Resilience Engineering has identified that people are still a
primary source of resilience, and that the design of distributed systems should
provide ways of helping people and organisations to cope with complexity.
Although resilience has been identified as a desired property, researchers and
practitioners do not have a clear understanding of what manifestations of
resilience look like. This paper discusses some examples of strategies that
people can adopt that improve the resilience of a system. Critically, analysis
reveals that the generation of these strategies is only possible if the system
facilitates them. As an example, this paper discusses practices, such as
reflection, that are known to encourage resilient behavior in people. Reflection
allows systems to better prepare for oncoming demands. We show that
contributors to the practice of reflection manifest themselves at different levels
of abstraction: from individual strategies to practices in, for example, control
room environments. The analysis of interaction at these levels enables resilient
properties of a system to be âseenâ, so that systems can be designed to explicitly
support them. We then present an analysis of resilience at an organisational
level within the nuclear domain. This highlights some of the challenges facing
the Resilience Engineering approach and the need for using a collective
language to articulate knowledge of resilient practices across domains
Neighbourhood and stand structure affect stemflow generation in a heterogeneous deciduous temperate forest
Circadian variation of the atropine effect on the running performance of mice treated with 1,2,2-trimethylpropylmethylphosphonofluoridate (soman)
The Indeterminacy of an Emergency: Challenges to Criminal Jurisdiction in Constitutional Democracy
In this contribution I address the type of emergency that threatens a state's monopoly of violence, meaning that the state's competence to provide citizens with elementary security is challenged. The question is, whether actions taken by the state to ward off these threats (should) fall within the ambit of the criminal law. A central problem is the indeterminacy that is inherent in the state of emergency, implicating that adequate measures as well as constitutional constraints to be imposed on such measures cannot easily be determined in advance. This indeterminacy raises two interrelated issues. Firstly, the issue of whether it makes sense to speak of criminal jurisdiction when the existing jurisdiction is challenged as such. To what extent does the indeterminacy call for inherently unlimited powers of the state, implying there can be no such thing as criminal jurisdiction during a state of emergency? Second-if criminal jurisdiction is not in contradiction with the state of emergency-the issue of what criminal liability could mean in such a state needs to be confronted. To what extent does the indeterminacy inherent in the state of emergency jeopardise criminal liability because such indeterminacy engenders severe legal uncertainty regarding the standards against which the relevant actions are to be judged? Both issues will be discussed from the perspective of constitutional democracy, assuming that what is at stake in times of emergency is both the competence to sustain the monopoly of violence and the possibility to constrain the powers of the state. © 2010 The Author(s)
Improving the renovation, repair and painting training course to eliminate childhood lead poisonings: Wisconsin observations
Master's Project (M.A.) University of Alaska Fairbanks, 2013In 2011, I worked briefly with the Asbestos and Lead Program for the State of Wisconsin. It was my job to conduct audits of our training providers as well as on-site inspections of work sites. During my time there I discovered a real disconnect between what I saw in the field and what is taught in class. Wisconsin has its own lead rules that are more stringent than the EPA's. After taking a critical look at the EPA's Renovation, Repair and Painting Rule (RRP) curriculum, I saw where the problems lay. The required hands-on training does not present the skills in a logical order and the demonstration is not similar enough to reality to be retained and transferred to a worksite consistently. Instead of contractors and homeowners learning how to conduct a job safely from start to finish, they are presented specific skills broken down into 11 skill sets. Over a four month time span I took the EPA curriculum and wrote scripts, videotaped, edited and narrated training videos with the assistance of Department of Health Service staff to eliminate the disconnect between the classroom learning and the real world. The videos demonstrate lead-safe work practices in a manner intended to increase retention rates. The videos were released in July 2012, and since then inspection statistics show a 13 percent decrease in offenses from certified workers and a 31 percent decrease in violations overall. Data for the first half of 2013 also indicated a positive trend; violations by certified contracts are down an additional percent. The Alaska Department of Environmental Conservation conducted a study in 1996, finding that 62 percent of Alaska private homes were built prior to 1979. This means approximately 49 percent of all Alaskan homes contain lead-based paint, 14 percent higher than the national average. The use of lead-based paint in colder regions is not uncommon. Lead-based paint was praised for its durability and longevity, making it ideal for regions in the circumpolar north. Americans spend nearly 90 percent of their time indoors. In cold climates, such as the Arctic, people tend to spend even more time indoors (EPA, 2012). Increased time indoors allows for increased wear on friction surfaces in the home. For children, deteriorating lead-based paint and lead in house dust are the primary and often most concentrated sources of lead (CDC, 2012). The Center for Disease Control reports that in 2004 there were 143,000 deaths and a loss of 8,977,000 disability-adjusted life years attributed to lead exposure worldwide. The primary cause was lead-associated adult cardiovascular disease and mild intellectual disability in children. Children represent approximately 80 percent of the disease impact attributed to lead, with an estimated 600,000 new cases of childhood intellectual disabilities resulting from blood lead levels (BLLs) greater than 10 Ï
g/dL(CDC, 2012)
Distributed Holistic Clustering on Linked Data
Link discovery is an active field of research to support data integration in
the Web of Data. Due to the huge size and number of available data sources,
efficient and effective link discovery is a very challenging task. Common
pairwise link discovery approaches do not scale to many sources with very large
entity sets. We here propose a distributed holistic approach to link many data
sources based on a clustering of entities that represent the same real-world
object. Our clustering approach provides a compact and fused representation of
entities, and can identify errors in existing links as well as many new links.
We support a distributed execution of the clustering approach to achieve faster
execution times and scalability for large real-world data sets. We provide a
novel gold standard for multi-source clustering, and evaluate our methods with
respect to effectiveness and efficiency for large data sets from the geographic
and music domains
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