564 research outputs found
Evaluation of dispersion models DIPCOT and RIMPUFF used in Decision Support Systems for nuclear and radiological emergency response
This paper presents evaluation of the atmospheric dispersion models DIPCOT and RIMPUFF which are incorporated for
operational use in Decision Support Systems for nuclear emergencies. The evaluation is performed through comparisons of model results
with real-scale measurements of gamma radiation dose rates in air obtained during the routine operation of the HIFAR Research Reactor
located in Sydney, Australia. The area surrounding the reactor is characterized by moderately complicated topography and varying land
cover. A total of 16 days have been computationally simulated, covering all atmospheric stability conditions. Qualitative and quantitative
model evaluation is carried out, using comparisons of paired in space and time calculated and measured gamma dose rates, statistical indices,
scatter plots, and contour plots. The models performance is satisfactory for a number of cases, while for others the performance is poor. This
can be attributed to a number of factors, mainly uncertainties in the prediction of meteorological conditions
Sealed Computation: Abstract Requirements for Mechanisms to Support Trustworthy Cloud Computing
In cloud computing, data processing is delegated to a remote party for
efficiency and flexibility reasons. A practical user requirement usually is
that the confidentiality and integrity of data processing needs to be
protected. In the common scenarios of cloud computing today, this can only be
achieved by assuming that the remote party does not in any form act
maliciously. In this paper, we propose an approach that avoids having to trust
a single entity. Our approach is based on two concepts: (1) the technical
abstraction of sealed computation, i.e., a technical mechanism to confine the
processing of data within a tamper-proof hardware container, and (2) the
additional role of an auditing party that itself cannot add functionality to
the system but is able to check whether the system (including the mechanism for
sealed computation) works as expected. We discuss the abstract technical and
procedural requirements of these concepts and explain how they can be applied
in practice
Radiation source rate estimation through data assimilation of gamma dose rate measurements for operational nuclear emergency response systems
This paper presents an evaluation of an innovative data assimilation
method that has been recently developed in NCSR Demokritos for estimating
an unknown emission rate of radionuclides in the atmosphere, with real-scale
experimental data. The efficient algorithm is based on the assimilation of
gamma dose rate measured data in the Lagrangian atmospheric dispersion
model DIPCOT and uses variational principles. The DIPCOT model is used in
the framework of the nuclear emergency response system (ERS) RODOS. The
evaluation is performed by computational simulations of dispersion of Ar-41
that was emitted routinely by the Australian Nuclear Science and Technology
Organisation’s (ANSTO) previous research reactor, HIFAR, located in Sydney,
Australia. In this paper the algorithm is evaluated against a more complicated
Radiation source rate estimation through data assimilation 387
case than the others used in previous studies: There was only one monitoring
station available each day and the site topography is characterised as
moderately complex. Overall the estimated release rate approaches the real one
to a very satisfactory degree as revealed by the statistical indicators of errors. © 2012 Inderscience Enterprises Ltd
2015 ACVIM Small Animal Consensus Statement on Seizure Management in Dogs
This report represents a scientific and working clinical consensus statement on seizure management in dogs based on current literature and clinical expertise. The goal was to establish guidelines for a predetermined, concise, and logical sequential approach to chronic seizure management starting with seizure identification and diagnosis (not included in this report), reviewing decision‐making, treatment strategies, focusing on issues related to chronic antiepileptic drug treatment response and monitoring, and guidelines to enhance patient response and quality of life. Ultimately, we hope to provide a foundation for ongoing and future clinical epilepsy research in veterinary medicine
Relational Contracts and Organizational Capabilities
A large literature identifies unique organizational capabilities as a potent source of competitive advantage, yet our knowledge of why capabilities fail to diffuse more rapidly—particularly in situations in which competitors apparently have strong incentives to adopt them and a well-developed understanding of how they work—remains incomplete. In this paper we suggest that competitively significant capabilities often rest on managerial practices that in turn rely on relational contracts (i.e., informal agreements sustained by the shadow of the future). We argue that one of the reasons these practices may be difficult to copy is that effective relational contracts must solve the twin problems of credibility and clarity and that although credibility might, in principle, be instantly acquired, clarity may take time to develop and may interact with credibility in complex ways so that relational contracts may often be difficult to build
Politics and Firm Boundaries: How Organizational Structure, Group Interests, and Resources Affect Outsourcing
Ambient Temperature Influences Australian Native Stingless Bee (Trigona carbonaria) Preference for Warm Nectar
The interaction between flowers and insect pollinators is an important aspect of the reproductive mechanisms of many plant species. Several laboratory and field studies indicate that raising flower temperature above ambient can be an advantage in attracting pollinators. Here we demonstrate that this preference for warmer flowers is, in fact, context-dependent. Using an Australian native bee as a model, we demonstrate for the first time a significant shift in behaviour when the ambient temperature reaches 34°C, at which point bees prefer ambient temperature nectar over warmer nectar. We then use thermal imaging techniques to show warmer nectar maintains the flight temperature of bees during the period of rest on flowers at lower ambient temperatures but the behavioural switch is associated with the body temperature rising above that maintained during flight. These findings suggest that flower-pollinator interactions are dependent upon ambient temperature and may therefore alter in different thermal environments
Antiepileptic drugs’ tolerability and safety – a systematic review and meta-analysis of adverse effects in dogs
<p>Various anti-epileptic drugs (AEDs) are used for the management of idiopathic epilepsy (IE) in dogs. Their safety profile is an important consideration for regulatory bodies, owners and prescribing clinicians. However, information on their adverse effects still remains limited with most of it derived from non-blinded non-randomized uncontrolled trials and case reports.</p><p><span>This poster won third place, which was presented at the Veterinary Evidence Today conference, Edinburgh November 1-3, 2016. </span></p><br /> <img src="https://www.veterinaryevidence.org/rcvskmod/icons/oa-icon.jpg" alt="Open Access" /
Complaints handling in hospitals: an empirical study of discrepancies between patients' expectations and their experiences
<p>Abstract</p> <p>Background</p> <p>Many patients are dissatisfied with the way in which their complaints about health care are dealt with. This study tested the assumption that this dissatisfaction consists – in part at least – of unmet expectations.</p> <p>Methods</p> <p>Subjects were 279 patients who lodged a complaint with the complaints committees of 74 hospitals in the Netherlands. They completed two questionnaires; one on their expectations at the start of the complaints handling process, and one on their experiences after the complaints procedure (pre-post design; response 50%). Dependent variables are patients' satisfaction and their feeling that justice was done; independent variables are the association between patients' expectations and their experiences.</p> <p>Results</p> <p>Only 31% of the patients felt they had received justice from the complaints process.</p> <p>Two thirds of the patients were satisfied with the conduct of the complaints committee, but fewer were satisfied with the conduct of the hospital or the medical professional (29% and 18%). Large discrepancies between expectations and experiences were found in the case of doctors not admitting errors when errors had been made, and of hospital managements not providing information on corrective measures that were taken. Discrepancies collectively explained 51% of patients' dissatisfaction with the committee and one third of patients' dissatisfaction with the hospital and the professional. The feeling that justice was done was influenced by the decision on the complaint (well-founded or not), but also by the satisfaction with the conduct of the committee, the hospital management and the professional involved.</p> <p>Conclusion</p> <p>It is disappointing to observe that less than one third of the patients felt that justice had been done through the complaints handling process. This study shows that the feeling that justice had been done is not only influenced by the judgement of the complaints committee, but also by the response of the professional. Furthermore, hospitals and professionals should communicate on how they are going to prevent a recurrence of the events that led to the complaint.</p
Modeling dynamic interactions between pre-exposure prophylaxis interventions & treatment programs: predicting HIV transmission & resistance
Clinical trials have recently demonstrated the effectiveness of Pre-Exposure Prophylaxis (PrEP) in preventing HIV infection. Consequently, PrEP may soon be used for epidemic control. We model the dynamic interactions that will occur between treatment programs and potential PrEP interventions in resource-constrained countries. We determine the consequences for HIV transmission and drug resistance. We use response hypersurface modeling to predict the effect of PrEP on decreasing transmission as a function of effectiveness, adherence and coverage. We predict PrEP will increase need for second-line therapies (SLT) for treatment-naïve individuals, but could significantly decrease need for SLT for treatment-experienced individuals. If the rollout of PrEP is carefully planned it could increase the sustainability of treatment programs. If not, need for SLT could increase and the sustainability of treatment programs could be compromised. Our results show the optimal strategy for rolling out PrEP in resource-constrained countries is to begin around the “worst” treatment programs
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