147 research outputs found
A Survey of Quantum Property Testing
The area of property testing tries to design algorithms that can efficiently handle very large amounts of data: given a large object that either has a certain property or is somehow “far” from having that property, a tester should efficiently distinguish between these two cases. In this survey we describe recent results obtained for quantum property testing. This area naturally falls into three parts. First, we may consider quantum testers for properties of classical objects. We survey the main examples known where quantum testers can be much (sometimes exponentially) more efficient than classical testers. Second, we may consider classical testers of quantum objects. This is the situation that arises for instance when one is trying to determine if quantum states or operations do what they are supposed to do, based only on classical input-output behavior. Finally, we may also consider quantum testers for properties of quantum objects, such as states or operations. We survey known bounds on testing various natural properties, such as whether two states are equal, whether a state is separable, whether two operations commute, etc. We also highlight connections to other areas of quantum information theory and mention a number of open questions. Contents
A survey of quantum property testing
The area of property testing tries to design algorithms that can efficiently
handle very large amounts of data: given a large object that either has a
certain property or is somehow "far" from having that property, a tester should
efficiently distinguish between these two cases. In this survey we describe
recent results obtained for quantum property testing. This area naturally falls
into three parts. First, we may consider quantum testers for properties of
classical objects. We survey the main examples known where quantum testers can
be much (sometimes exponentially) more efficient than classical testers.
Second, we may consider classical testers of quantum objects. This is the
situation that arises for instance when one is trying to determine if quantum
states or operations do what they are supposed to do, based only on classical
input-output behavior. Finally, we may also consider quantum testers for
properties of quantum objects, such as states or operations. We survey known
bounds on te
Knowledge management for more sustainable water systems
The management and sharing of complex data, information and knowledge is a fundamental and growing concern in the Water and other Industries for a variety of reasons. For example, risks and uncertainties associated with climate, and other changes require knowledge to prepare for a range of future scenarios and potential extreme events. Formal ways in which knowledge can be established and managed can help deliver efficiencies on acquisition, structuring and filtering to provide only the essential aspects of the knowledge really needed. Ontologies are a key technology for this knowledge management. The construction of ontologies is a considerable overhead on any knowledge management programme. Hence current computer science research is investigating generating ontologies automatically from documents using text mining and natural language techniques. As an example of this, results from application of the Text2Onto tool to stakeholder documents for a project on sustainable water cycle management in new developments are presented. It is concluded that by adopting ontological representations sooner, rather than later in an analytical process, decision makers will be able to make better use of highly knowledgeable systems containing automated services to ensure that sustainability considerations are included
Use of the Kawa Model to Facilitate Interprofessional Collaboration: A Pilot Study
Purpose: The Kawa (river in Japanese) model uses the metaphor of a river to view one’s life from a metaphysical perspective, with consideration given to the interaction between social and physical environments, life circumstances, assets, and liabilities. Preliminary research suggests that the Kawa model may be an effective tool for interprofessional collaboration, but studies employing the model with diverse groups of healthcare professionals have not been undertaken. The purpose of this pilot study was to determine if the Kawa model could serve as an effective collaboration tool for a diverse healthcare team within a skilled nursing facility.
Method: A pilot study using survey methodology was conducted with an interprofessional team (N=10) involving rehabilitation, nursing, administration, social work, and activities personnel. Education on the Kawa model and its components was provided to the team, followed by their participation in an interactive activity involving application of the model to a case study. An author-generated survey was administered before and after the study to elicit views about the Kawa model’s potential use as a team collaboration tool.
Results: All 10/10 participants agreed or strongly agreed the Kawa model provides a common language for interprofessional collaboration, and 9/10 felt it would be an effective tool to increase collaboration in their facility.
Conclusions: Healthcare professionals from a variety of fields must collaborate effectively for quality client care. Using a tool, such as the Kawa model, may provide a common ground for interprofessional discussions when making decisions about a client’s care. Recommendations include replication of this study with larger, more diverse healthcare teams, incorporation of an actual client and his or her family in the team, and comparison of other collaborative practices with those employing the Kawa model
Association between the oxytocin receptor (OXTR) gene and mesolimbic responses to rewards
10.1186/2040-2392-5-7Molecular Autism51
Effects of rapid prey evolution on predator-prey cycles
We study the qualitative properties of population cycles in a predator-prey
system where genetic variability allows contemporary rapid evolution of the
prey. Previous numerical studies have found that prey evolution in response to
changing predation risk can have major quantitative and qualitative effects on
predator-prey cycles, including: (i) large increases in cycle period, (ii)
changes in phase relations (so that predator and prey are cycling exactly out
of phase, rather than the classical quarter-period phase lag), and (iii)
"cryptic" cycles in which total prey density remains nearly constant while
predator density and prey traits cycle. Here we focus on a chemostat model
motivated by our experimental system [Fussmann et al. 2000,Yoshida et al. 2003]
with algae (prey) and rotifers (predators), in which the prey exhibit rapid
evolution in their level of defense against predation. We show that the effects
of rapid prey evolution are robust and general, and furthermore that they occur
in a specific but biologically relevant region of parameter space: when traits
that greatly reduce predation risk are relatively cheap (in terms of reductions
in other fitness components), when there is coexistence between the two prey
types and the predator, and when the interaction between predators and
undefended prey alone would produce cycles. Because defense has been shown to
be inexpensive, even cost-free, in a number of systems [Andersson and Levin
1999, Gagneux et al. 2006,Yoshida et al. 2004], our discoveries may well be
reproduced in other model systems, and in nature. Finally, some of our key
results are extended to a general model in which functional forms for the
predation rate and prey birth rate are not specified.Comment: 35 pages, 8 figure
Three Points Approach (3PA) for urban flood risk management: A tool to support climate change adaptation through transdisciplinarity and multifunctionality
Reflexive adaptation for resilient water services: lessons for theory and practice
‘Adaptive management’ concern attempts to manage complex social-ecological and socio-technical systems in nimble ways to enhance their resilience. In this paper, three forms of adaptive management are identified, ‘scientific’ forms focused on collation of scientific data in response to management experiments, but more recent developments adding processes of collaboration as well as emphasising the need for reflexivity, that is, conscious processes of opening up debates to different perspectives and values. While reflexive adaptive management has been increasingly discussed in theory, there is a lack of examples of what its application means in practice.
As a response, this paper examines an ‘Adaptive Planning Process’ (APP), seeking to apply reflexive adaptive management as a means to improve climate resilience in the UK water sector. The APP’s three inter linked workshops – Aspiration, Scenario and Roadmapping – were co-developed and trialled in a water utility. By describing and justifying the choices made in the development of the APP, the paper aims to reveal some of the challenges that arise when trying to design processes that achieve reflexive adaptation.
The paper concludes that, if applied to planning for climate change, reflexive adaptation has the potential to explore multiple value positions, highlight different potential futures and acknowledge (and hence, partly address) power differentials, and therefore to offer the possibility of real change. On the basis of the trial, we argue that through tapping the depth and breadth of internal knowledge the APP process created the potential for decision making to be joined up across different parts of the utility, and hence offering new strategies and routes for addressing uncertainties and delivering more resilient water services
Wholesale pricing in a small open economy
This paper addresses the empirical analysis of wholesale profit margins using data of the Dutch wholesale sector, 1986. At the heart of the analysis is the typical nature of wholesale production: wholesalers do not produce a tangible product, but offer a service capacity. This has an immediate impact on the identification, interprelation and measurement of determinants of profit variations. A model is set up to explain variations in wholesale profit margins, which is inspired by two widely applied approaches to industry pricing: the behavioural mark-up model and the marginalist price-cost model
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