Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.

Science.gov (United States)

Ong, Toan C; Kahn, Michael G; Kwan, Bethany M; Yamashita, Traci; Brandt, Elias; Hosokawa, Patrick; Uhrich, Chris; Schilling, Lisa M

2017-09-13

Electronic health records (EHRs) contain detailed clinical data stored in proprietary formats with non-standard codes and structures. Participating in multi-site clinical research networks requires EHR data to be restructured and transformed into a common format and standard terminologies, and optimally linked to other data sources. The expertise and scalable solutions needed to transform data to conform to network requirements are beyond the scope of many health care organizations and there is a need for practical tools that lower the barriers of data contribution to clinical research networks. We designed and implemented a health data transformation and loading approach, which we refer to as Dynamic ETL (Extraction, Transformation and Loading) (D-ETL), that automates part of the process through use of scalable, reusable and customizable code, while retaining manual aspects of the process that requires knowledge of complex coding syntax. This approach provides the flexibility required for the ETL of heterogeneous data, variations in semantic expertise, and transparency of transformation logic that are essential to implement ETL conventions across clinical research sharing networks. Processing workflows are directed by the ETL specifications guideline, developed by ETL designers with extensive knowledge of the structure and semantics of health data (i.e., "health data domain experts") and target common data model. D-ETL was implemented to perform ETL operations that load data from various sources with different database schema structures into the Observational Medical Outcome Partnership (OMOP) common data model. The results showed that ETL rule composition methods and the D-ETL engine offer a scalable solution for health data transformation via automatic query generation to harmonize source datasets. D-ETL supports a flexible and transparent process to transform and load health data into a target data model. This approach offers a solution that lowers technical

Exploring continuous organisational transformation as a form of network interdependence

OpenAIRE

Stebbings, H; Braganza, A

2008-01-01

In this paper we examine the problematic area of continuous transformation. We conduct our analysis from three theoretical perspectives: the resource based view, social network theory, and stakeholder theory. We found that the continuous transformation can be explained through the concept of Network Interdependence. This paper describes Network Interdependence and develops theoretical propositions from a synthesis of the three theories. Our contribution of Network Interdependence offers f...

Expertise and contra expertise independence and transparency; Expertises -contre expertises independance et transparence

Energy Technology Data Exchange (ETDEWEB)

Abarnou, G; Ades, Y; Ancelin, G; Balle, St; Bardy, J Ch; Beringer, F; Blanc, M; Bontoux, J; Bovy, M; Brunet, F; Calafat, A; Cartier, M; Constant, H; Delcourt, R; Duvert, J C; Eichholtzer, F; Fernandez, P; Fernex, S; Foechterle, A; Gatesoupe, J P; Geneau, Ch; Goerg, C; Gourod, A; Graschaire, G; Hubscher Ibert, J; Jaegert, M; Lacoste, A C; Lacote, J P; Laroche, D; Lazar, Ph; Lelievre, D; Levasseur, E; Levent, L; Louvat, D; Manon, Ch; Maugein, J; Melguen, M; Mouchet, Ch; Mourat, J P; Naegelen, L; Niquet, G; Perves, J P; Potelet, P; Regent, A; Romann, J M; Rossa, N; Saut, C; Sazy, Ch; Schmitt, P; Sene, M; Sene, Raymond; Sornein, J F; Sugier, A; Tfibel, V; Uhart, M; Vidal, J; Vieillard Baron, B; Vigny, P; Walgenwitz, G; Wiest, A; Wisselmann, R; Zuberbuhler, A

2006-07-01

About sixty participants: members of C.L.I., academics, elected representatives, manufacturers, representatives of association, institutional, crossed their experiences. The debate was mainly centred on the role of the expert, the limits of its intervention and its independence. The presented titles are following: experiences of two C.L.I. in expertise; the work of communication of the nuclear experts; interest and limits of the expertise; presentation of the I.R.S.N. and the D.G.S.N.R.; expertise: problems and experiences; presentation of the works realised in work group; the considerations of the C.S.S.I.N.. (N.C.)

A dynamic network model of expertise and exceptional performance in sports

NARCIS (Netherlands)

den Hartigh, Ruud; van Geert, Paul

2014-01-01

Introduction The study of expertise and exceptional performance covers a range from “beginner” to world-class performance. While developing sport expertise a variety of interacting internal and external performance factors are involved, which may differ between athletes (Phillips et al., 2010). The

Food: Transformation in Social Networks

Directory of Open Access Journals (Sweden)

Daria N. Karpova

2014-01-01

Full Text Available The modem network and digitalized society is full of social changes in various accustomed spheres of our lives including transformation in food practices. The author gives an example of the easiest way how to book food virtually and get it home this day according to tastes of a customer. Moreover the article represents new forms of specific societies existed in the Internet called food-blogs. This, on the author's mind, changes the traditional mechanism of people's choice. Food-blogs are analyzed through the prism of multifunctionalism and dynamics of food and trust. When the process of food preparing and eating attains new communicative functions. Moreover the author notes some social reasons why one user choses this or that food-blog. For instance, the popularity of blogger and network users trust, mostly «blinded». Beside the point, the conception of «trust» used in the text is based on science works of contemporary sociologist P. Sztompka. Both socialized and communicative functions of food are described through theories of R. Bart and G. Simmel. It is underlined in the text that food transforms and gains new qualities notin traditional ways we used to think but in social and cultural construction in virtual space and through network communication.

Leveraging Educational, Research and Facility Expertise to Improve Global Seismic Monitoring: Preparing a Guide on Sustainable Networks

Science.gov (United States)

Nybade, A.; Aster, R.; Beck, S.; Ekstrom, G.; Fischer, K.; Lerner-Lam, A.; Meltzer, A.; Sandvol, E.; Willemann, R. J.

2008-12-01

Building a sustainable earthquake monitoring system requires well-informed cooperation between commercial companies that manufacture components or deliver complete systems and the government or other agencies that will be responsible for operating them. Many nations or regions with significant earthquake hazard lack the financial, technical, and human resources to establish and sustain permanent observatory networks required to return the data needed for hazard mitigation. Government agencies may not be well- informed about the short-term and long-term challenges of managing technologically advanced monitoring systems, much less the details of how they are built and operated. On the relatively compressed time scale of disaster recovery efforts, it can be difficult to find a reliable, disinterested source of information, without which government agencies may be dependent on partial information. If system delivery fails to include sufficient development of indigenous expertise, the performance of local and regional networks may decline quickly, and even data collected during an early high-performance period may be degraded or lost. Drawing on unsurpassed educational capabilities of its members working in close cooperation with its facility staff, IRIS is well prepared to contribute to sustainability through a wide variety of training and service activities that further promote standards for network installation, data exchange protocols, and free and open access to data. Members of the Consortium and staff of its Core Programs together could write a guide on decisions about network design, installation and operation. The intended primary audience would be government officials seeking to understand system requirements, the acquisition and installation process, and the expertise needed operate a system. The guide would cover network design, procurement, set-up, data use and archiving. Chapters could include advice on network data processing, archiving data (including

Transformation-invariant visual representations in self-organizing spiking neural networks.

Science.gov (United States)

Evans, Benjamin D; Stringer, Simon M

2012-01-01

The ventral visual pathway achieves object and face recognition by building transformation-invariant representations from elementary visual features. In previous computer simulation studies with rate-coded neural networks, the development of transformation-invariant representations has been demonstrated using either of two biologically plausible learning mechanisms, Trace learning and Continuous Transformation (CT) learning. However, it has not previously been investigated how transformation-invariant representations may be learned in a more biologically accurate spiking neural network. A key issue is how the synaptic connection strengths in such a spiking network might self-organize through Spike-Time Dependent Plasticity (STDP) where the change in synaptic strength is dependent on the relative times of the spikes emitted by the presynaptic and postsynaptic neurons rather than simply correlated activity driving changes in synaptic efficacy. Here we present simulations with conductance-based integrate-and-fire (IF) neurons using a STDP learning rule to address these gaps in our understanding. It is demonstrated that with the appropriate selection of model parameters and training regime, the spiking network model can utilize either Trace-like or CT-like learning mechanisms to achieve transform-invariant representations.

Transform-invariant visual representations in self-organizing spiking neural networks

Directory of Open Access Journals (Sweden)

Benjamin eEvans

2012-07-01

Full Text Available The ventral visual pathway achieves object and face recognition by building transform-invariant representations from elementary visual features. In previous computer simulation studies with rate-coded neural networks, the development of transform invariant representations has been demonstrated using either of two biologically plausible learning mechanisms, Trace learning and Continuous Transformation (CT learning. However, it has not previously been investigated how transform invariant representations may be learned in a more biologically accurate spiking neural network. A key issue is how the synaptic connection strengths in such a spiking network might self-organize through Spike-Time Dependent Plasticity (STDP where the change in synaptic strength is dependent on the relative times of the spikes emitted by the pre- and postsynaptic neurons rather than simply correlated activity driving changes in synaptic efficacy. Here we present simulations with conductance-based integrate-and-fire (IF neurons using a STDP learning rule to address these gaps in our understanding. It is demonstrated that with the appropriate selection of model pa- rameters and training regime, the spiking network model can utilize either Trace-like or CT-like learning mechanisms to achieve transform-invariant representations.

Networks of power in digital copyright law and policy political salience, expertise and the legislative process

CERN Document Server

Farrand, Benjamin

2014-01-01

In this book, Benjamin Farrand employs an interdisciplinary approach that combines legal analysis with political theory to explore the development of copyright law in the EU. Farrand utilises Foucault's concept of Networks of Power and Culpepper's Quiet Politics to assess the adoption and enforcement of copyright law in the EU, including the role of industry representative, cross-border licensing, and judicial approaches to territorial restrictions. Focusing in particular on legislative initiatives concerning copyright, digital music and the internet, Networks of Power in Digital Copyright Law and Policy: Political Salience, Expertise and the Legislative Process demonstrates the connection between copyright law and complex network relationships. This book presents an original socio-political theoretical framework for assessing developments in copyright law that will interest researchers and post-graduate students of law and politics, as well as those more particularly concerned with political theory, EU and c...

How to become a publishing groupie: Establishing a successful local area network for your publications organization

Energy Technology Data Exchange (ETDEWEB)

Hayhoe, G.F.

1991-12-31

Implementing a successful local area network for a publications work-group isn`t as simple as the scarcity of information on the subject would suggest. Making a network work for your requires careful planning, developing and acquiring network expertise, transforming your group`s patterns of working together, and carefully managing the human and technological resources.

How to become a publishing groupie: Establishing a successful local area network for your publications organization

Energy Technology Data Exchange (ETDEWEB)

Hayhoe, G.F.

1991-01-01

Implementing a successful local area network for a publications work-group isn't as simple as the scarcity of information on the subject would suggest. Making a network work for your requires careful planning, developing and acquiring network expertise, transforming your group's patterns of working together, and carefully managing the human and technological resources.

Using Network-Based Language Analysis to Bridge Expertise and Cultivate Sensitivity to Differentiated Language Use in Interdisciplinary Geoscience Research

Science.gov (United States)

Hannah, M. A.; Simeone, M.

2017-12-01

On interdisciplinary teams, expertise is varied, as is evidenced by differences in team members' language use. Developing strategies to combine that expertise and bridge differentiated language practices is especially difficult between geoscience subdisciplines as researchers assume they use a shared language—vocabulary, jargon, codes, linguistic styles. In our paper, we discuss a network-based approach used to identify varied expertise and language practices between geoscientists (n=29) on a NSF team funded to study how deep and surface Earth processes worked together to give rise to the Great Oxygenation Event. We describe how we modeled the team's expertise from a language corpus consisting of 220 oxygen-related terms frequently used by team members and then compared their understanding of the terms to develop interventions to bridge the team's expertise. Corpus terms were identified via team member interviews, observations of members' interactions at research meetings, and discourse analysis of members' publications. Comparisons of members' language use were based on a Likert scale survey that asked members to assess how they understood a term; how frequently they used a term; and whether they conceptualized a term as an object or process. Rather than use our method as a communication audit tool (Zwijze-Koning & de Jong, 2015), teams can proactively use it in a project's early stages to assess the contours of the team's differentiated expertise and show where specialized knowledge resides in the team, where latent or non-obvious expertise exists, where expertise overlaps, and where gaps are in the team's knowledge. With this information, teams can make evidence based recommendations to forward their work such as allocating resources; identifying and empowering members to serve as connectors and lead cross-functional project initiatives; and developing strategies to avoid communication barriers. The method also generates models for teaching language

Architectural transformations in network services and distributed systems

CERN Document Server

Luntovskyy, Andriy

2017-01-01

With the given work we decided to help not only the readers but ourselves, as the professionals who actively involved in the networking branch, with understanding the trends that have developed in recent two decades in distributed systems and networks. Important architecture transformations of distributed systems have been examined. The examples of new architectural solutions are discussed. Content Periodization of service development Energy efficiency Architectural transformations in Distributed Systems Clustering and Parallel Computing, performance models Cloud Computing, RAICs, Virtualization, SDN Smart Grid, Internet of Things, Fog Computing Mobile Communication from LTE to 5G, DIDO, SAT-based systems Data Security Guaranteeing Distributed Systems Target Groups Students in EE and IT of universities and (dual) technical high schools Graduated engineers as well as teaching staff About the Authors Andriy Luntovskyy provides classes on networks, mobile communication, software technology, distributed systems, ...

Security Expertise

DEFF Research Database (Denmark)

systematic study of security expertise and opens up a productive dialogue between science and technology studies and security studies to investigate the character and consequences of this expertise. In security theory, the study of expertise is crucial to understanding whose knowledge informs security making......This volume brings together scholars from different fields to explore the power, consequences and everyday practices of security expertise. Expertise mediates between different forms of knowledge: scientific and technological, legal, economic and political knowledge. This book offers the first...... and to reflect on the impact and responsibility of security analysis. In science and technology studies, the study of security politics adds a challenging new case to the agenda of research on expertise and policy. The contributors investigate cases such as academic security studies, security think tanks...

Advice networks in teams: the role of transformational leadership and members' core self-evaluations.

Science.gov (United States)

Zhang, Zhen; Peterson, Suzanne J

2011-09-01

This article examines the team-level factors promoting advice exchange networks in teams. Drawing upon theory and research on transformational leadership, team diversity, and social networks, we hypothesized that transformational leadership positively influences advice network density in teams and that advice network density serves as a mediating mechanism linking transformational leadership to team performance. We further hypothesized a 3-way interaction in which members' mean core self-evaluation (CSE) and diversity in CSE jointly moderate the transformational leadership-advice network density relationship, such that the relationship is positive and stronger for teams with low diversity in CSE and high mean CSE. In addition, we expected that advice network centralization attenuates the positive influence of network density on team performance. Results based on multisource data from 79 business unit management teams showed support for these hypotheses. The results highlight the pivotal role played by transformational leadership and team members' CSEs in enhancing team social networks and, ultimately, team effectiveness. PsycINFO Database Record (c) 2011 APA, all rights reserved

Recommendations for centres of expertise in rare anaemias. The ENERCA White Book

OpenAIRE

Joan-Lluis Vives Corrons; María del Mar Mañú Pereira; Carlos Romeo-Casabona; Pilar Nicolás; Béatrice Gulbis; Androulla Eleftheriou; Michael Angastiniotis; Patricia Aguilar Martínez; Paola Bianchi; Richard Van Wijk; Hermann Heimpel; Barbara De la Salle; Andrea Mosca

2014-01-01

The Community added value of Centres of Expertise (CoE) and European Reference Networks (ERN) is particularly high for rare diseases (RD) due to the rarity of these conditions, which implies both a small number of patients and scarcity of expertise within a single country. Gathering expertise at the European level is therefore, paramount in order to ensure equal access to accurate information, appropriate and timely diagnosis and high quality clinical care and follow up for patients with rare...

Expertise, Ethics Expertise, and Clinical Ethics Consultation: Achieving Terminological Clarity

Science.gov (United States)

Iltis, Ana S.; Sheehan, Mark

2016-01-01

The language of ethics expertise has become particularly important in bioethics in light of efforts to establish the value of the clinical ethics consultation (CEC), to specify who is qualified to function as a clinical ethics consultant, and to characterize how one should evaluate whether or not a person is so qualified. Supporters and skeptics about the possibility of ethics expertise use the language of ethics expertise in ways that reflect competing views about what ethics expertise entails. We argue for clarity in understanding the nature of expertise and ethics expertise. To be an ethics expert, we argue, is to be an expert in knowing what ought to be done. Any attempt to articulate expertise with respect to knowing what ought to be done must include an account of ethics that specifies the nature of moral truth and the means by which we access this truth or a theoretical account of ethics such that expertise in another domain is linked to knowing or being better at judging what ought to be done and the standards by which this “knowing” or “being better at judging” is determined. We conclude with a discussion of the implications of our analysis for the literature on ethics expertise in CEC. We do think that there are clear domains in which a clinical ethics consultant might be expert but we are skeptical about the possibility that this includes ethics expertise. Clinical ethics consultants should not be referred to as ethics experts. PMID:27256848

Power Transformer Operating State Prediction Method Based on an LSTM Network

Directory of Open Access Journals (Sweden)

Hui Song

2018-04-01

Full Text Available The state of transformer equipment is usually manifested through a variety of information. The characteristic information will change with different types of equipment defects/faults, location, severity, and other factors. For transformer operating state prediction and fault warning, the key influencing factors of the transformer panorama information are analyzed. The degree of relative deterioration is used to characterize the deterioration of the transformer state. The membership relationship between the relative deterioration degree of each indicator and the transformer state is obtained through fuzzy processing. Through the long short-term memory (LSTM network, the evolution of the transformer status is extracted, and a data-driven state prediction model is constructed to realize preliminary warning of a potential fault of the equipment. Through the LSTM network, the quantitative index and qualitative index are organically combined in order to perceive the corresponding relationship between the characteristic parameters and the operating state of the transformer. The results of different time-scale prediction cases show that the proposed method can effectively predict the operation status of power transformers and accurately reflect their status.

Improved transformer protection using probabilistic neural network ...

African Journals Online (AJOL)

This article presents a novel technique to distinguish between magnetizing inrush current and internal fault current of power transformer. An algorithm has been developed around the theme of the conventional differential protection method in which parallel combination of Probabilistic Neural Network (PNN) and Power ...

Expertise and contra expertise independence and transparency

International Nuclear Information System (INIS)

Abarnou, G.; Ades, Y.; Ancelin, G.; Balle, St.; Bardy, J.Ch.; Beringer, F.; Blanc, M.; Bontoux, J.; Bovy, M.; Brunet, F.; Calafat, A.; Cartier, M.; Constant, H.; Delcourt, R.; Duvert, J.C.; Eichholtzer, F.; Fernandez, P.; Fernex, S.; Foechterle, A.; Gatesoupe, J.P.; Geneau, Ch.; Goerg, C.; Gourod, A.; Graschaire, G.; Hubscher Ibert, J.; Jaegert, M.; Lacoste, A.C.; Lacote, J.P.; Laroche, D.; Lazar, Ph.; Lelievre, D.; Levasseur, E.; Levent, L.; Louvat, D.; Manon, Ch.; Maugein, J.; Melguen, M.; Mouchet, Ch.; Mourat, J.P.; Naegelen, L.; Niquet, G.; Perves, J.P.; Potelet, P.; Regent, A.; Romann, J.M.; Rossa, N.; Saut, C.; Sazy, Ch.; Schmitt, P.; Sene, M.; Sene, Raymond; Sornein, J.F.; Sugier, A.; Tfibel, V.; Uhart, M.; Vidal, J.; Vieillard Baron, B.; Vigny, P.; Walgenwitz, G.; Wiest, A.; Wisselmann, R.; Zuberbuhler, A.

2006-01-01

About sixty participants: members of C.L.I., academics, elected representatives, manufacturers, representatives of association, institutional, crossed their experiences. The debate was mainly centred on the role of the expert, the limits of its intervention and its independence. The presented titles are following: experiences of two C.L.I. in expertise; the work of communication of the nuclear experts; interest and limits of the expertise; presentation of the I.R.S.N. and the D.G.S.N.R.; expertise: problems and experiences; presentation of the works realised in work group; the considerations of the C.S.S.I.N.. (N.C.)

Expertise-based peer selection in Peer-to-Peer networks

NARCIS (Netherlands)

Haase, Peter; Siebes, Ronny; Harmelen, van Frank

2007-01-01

Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining the destination peer in the first place is not always trivial. We propose a model in which peers advertise their expertise in

Improved transformer protection using probabilistic neural network ...

African Journals Online (AJOL)

user

secure and dependable protection for power transformers. Owing to its superior learning and generalization capabilities Artificial. Neural Network (ANN) can considerably enhance the scope of WI method. ANN approach is faster, robust and easier to implement than the conventional waveform approach. The use of neural ...

ALGORITHMIZATION OF PROBLEMS FOR OPTIMAL LOCATION OF TRANSFORMERS IN SUBSTATIONS OF DISTRIBUTED NETWORKS

Directory of Open Access Journals (Sweden)

M. I. Fursanov

2014-01-01

Full Text Available This article reflects algorithmization of search methods of effective replacement of consumer transformers in distributed electrical networks. As any electrical equipment of power systems, power transformers have their own limited service duration, which is determined by natural processes of materials degradation and also by unexpected wear under different conditions of overload and overvoltage. According to the standards, adapted by in the Republic of Belarus, rated service life of power transformers is 25 years. But it can be situations that transformers should be better changed till this time – economically efficient. The possibility of such replacement is considered in order to increase efficiency of electrical network operation connected with its physical wear and aging.In this article the faults of early developed mathematical models of transformers replacement were discussed. Early such worked out transformers were not used. But in practice they can be replaced in one substation but they can be successfully used  in other substations .Especially if there are limits of financial resources and the replacement needs more detail technical and economical basis.During the research the authors developed the efficient algorithm for determining of optimal location of transformers at substations of distributed electrical networks, based on search of the best solution from all sets of displacement in oriented graph. Suggested algorithm allows considerably reduce design time of optimal placement of transformers using a set of simplifications. The result of algorithm’s work is series displacement of transformers in networks, which allow obtain a great economic effect in comparison with replacement of single transformer.

Nursing expertise: a course of ambiguity and evolution in a concept.

Science.gov (United States)

Hutchinson, Marie; Higson, Mary; Cleary, Michelle; Jackson, Debra

2016-12-01

In this article, we clarify and describe the nature of nursing expertise and provide a framework to guide its identification and further development. To have utility and rigour, concept-driven research and theories of practice require underlying concepts that are robust, valid and reliable. Advancing understanding of a concept requires careful attention to explicating its knowledge, metaphors and conceptual meaning. Examining the concepts and metaphors of nursing expertise, and how they have been interpreted into the nursing discourse, we aimed to synthesise definitions and similarities between concepts and elicit the defining characteristics and properties of nursing expertise. In clarifying the concept, we sought to move beyond the ambiguity that currently surrounds expertise in nursing and unravel it to make explicit the characteristics of nursing expertise from published peer-reviewed studies and structured literature synthesis. Findings indicate a lack of clarity surrounding the use of the term expertise. Traditional reliance upon intuition as a way of explaining expert performance is slowly evolving. Emerging from the analysis is a picture of expertise as the relationship between networks of contextual reasoning, understanding and practice. Striking absences in the discourse include limited explication of ethical reasoning and theorising a broader interpretation of expertise reflective of contemporary forms of nursing. © 2016 John Wiley & Sons Ltd.

Bionergy expertise project in Southern Ostrobothnia; Bioenergia-asiantuntijuutta kehittaemaessae Etelae-Pohjanmaalla

Energy Technology Data Exchange (ETDEWEB)

Sivula, A.; Lauhanen, R.; Saarela, A.; Ahtola, T.; Pasila, A.

2013-06-01

The EU has set the goal for the use of renewable energy at 20 percent by the year 2020. The Finnish national goal is 38 percent. This goal has set new challenges for entrepreneurs who are working in the field of bioenergy. Bioenergy is developing all the time and because of this new information should be passed on to persons who are working in the field of bioenergy continuously. Seinajoki University of Applied Sciences (School of Forestry and Agriculture) implemented the bioenergy expertise project (Bioenergia-asiantuntijuuden kehittaeminen tyoeelaemaelaehtoeisesti) during the years 2009 - 2012 in Southern Ostrobothnia of Finland. The bioenergy expertise project developed the Learning Environment in the field of bioenergy, formed a bioenergy professionals' network, activated the bioenergy entrepreneur network, implemented the report on the future needs of bioenergy education, tested and piloted a reference model for information collection using mobile systems with the bioenergy actors, and arranged bioenergy themed events. The Learning Environment can be used to meet the needs of the University of Applied Sciences and by the entrepreneurs in the area. The bioenergy professionals' network is a group of professionals who work in the area of Southern Ostrobothnia. Bioenergy themed events attracted a lot of participants, but the most popular events were the bioenergy fairs, which were arranged in Tuomarniemi and Kurejoki. The arranged events were also useful from the entrepreneurs networking point of view. The bioenergy expertise project was overall a success and the feedback was positive. The permanent results of the project are publications, reports, the bioenergy professionals' network and the new Learning Environment. Seinajoki University of Applied Sciences is hosting the Learning Environment. The bioenergy professionals' network is continuing its activities in Jarvikilta network of professionals, which also have activities in the area of

A fast identification algorithm for Box-Cox transformation based radial basis function neural network.

Science.gov (United States)

Hong, Xia

2006-07-01

In this letter, a Box-Cox transformation-based radial basis function (RBF) neural network is introduced using the RBF neural network to represent the transformed system output. Initially a fixed and moderate sized RBF model base is derived based on a rank revealing orthogonal matrix triangularization (QR decomposition). Then a new fast identification algorithm is introduced using Gauss-Newton algorithm to derive the required Box-Cox transformation, based on a maximum likelihood estimator. The main contribution of this letter is to explore the special structure of the proposed RBF neural network for computational efficiency by utilizing the inverse of matrix block decomposition lemma. Finally, the Box-Cox transformation-based RBF neural network, with good generalization and sparsity, is identified based on the derived optimal Box-Cox transformation and a D-optimality-based orthogonal forward regression algorithm. The proposed algorithm and its efficacy are demonstrated with an illustrative example in comparison with support vector machine regression.

E-Commerce Audit Judgment Expertise: Does Expertise in System Change Management and Information Technology Auditing Mediate E-Commerce Audit Judgment Expertise?

Directory of Open Access Journals (Sweden)

Jagdish PATHAK

2010-01-01

Full Text Available A global survey of 203 E-commerce auditors was conducted to investigate the perceptions about the potential determinants of expertise in E-commerce audits. We hypothesize and find evidence indicating that information technology and communication expertise are positively related to expertise in E-commerce audit judgment. We also find that system change management expertise and information technology audit expertise mediate this relationship.

Transformational leadership and group interaction as climate antecedents: a social network analysis.

Science.gov (United States)

Zohar, Dov; Tenne-Gazit, Orly

2008-07-01

In order to test the social mechanisms through which organizational climate emerges, this article introduces a model that combines transformational leadership and social interaction as antecedents of climate strength (i.e., the degree of within-unit agreement about climate perceptions). Despite their longstanding status as primary variables, both antecedents have received limited empirical research. The sample consisted of 45 platoons of infantry soldiers from 5 different brigades, using safety climate as the exemplar. Results indicate a partially mediated model between transformational leadership and climate strength, with density of group communication network as the mediating variable. In addition, the results showed independent effects for group centralization of the communication and friendship networks, which exerted incremental effects on climate strength over transformational leadership. Whereas centralization of the communication network was found to be negatively related to climate strength, centralization of the friendship network was positively related to it. Theoretical and practical implications are discussed.

Beyond policy networks: policy framing and the politics of expertise in the 2001 Foot and Mouth Disease crisis.

Science.gov (United States)

Wilkinson, Katy; Lowe, Philip; Donaldson, Andrew

2010-01-01

For the past decade, the policy community/issue network typology of pressure group interaction has been used to explain policy outcomes and the policy-making process. To re-examine the validity of this typology, the paper focuses on the UK government's response to the 2001 Foot and Mouth Disease (FMD) crisis, and in particular the decision to pursue contiguous culling rather than vaccination to overcome the epidemic. Rather than illustrating the emergence of an issue network in agricultural policy, the decision-making process of the FMD outbreak demonstrates continuity with prior crises. In addition, the politicization of scientific expertise is identified as an emerging trend in crisis management. Policy framing is used to explain the impetus behind the contiguous cull decision, concluding that the legacy of previous policy choices conditioned the crisis response to a far greater degree than contemporaneous pressure group action.

HONTIOR - HIGHER-ORDER NEURAL NETWORK FOR TRANSFORMATION INVARIANT OBJECT RECOGNITION

Science.gov (United States)

Spirkovska, L.

1994-01-01

Neural networks have been applied in numerous fields, including transformation invariant object recognition, wherein an object is recognized despite changes in the object's position in the input field, size, or rotation. One of the more successful neural network methods used in invariant object recognition is the higher-order neural network (HONN) method. With a HONN, known relationships are exploited and the desired invariances are built directly into the architecture of the network, eliminating the need for the network to learn invariance to transformations. This results in a significant reduction in the training time required, since the network needs to be trained on only one view of each object, not on numerous transformed views. Moreover, one hundred percent accuracy is guaranteed for images characterized by the built-in distortions, providing noise is not introduced through pixelation. The program HONTIOR implements a third-order neural network having invariance to translation, scale, and in-plane rotation built directly into the architecture, Thus, for 2-D transformation invariance, the network needs only to be trained on just one view of each object. HONTIOR can also be used for 3-D transformation invariant object recognition by training the network only on a set of out-of-plane rotated views. Historically, the major drawback of HONNs has been that the size of the input field was limited to the memory required for the large number of interconnections in a fully connected network. HONTIOR solves this problem by coarse coding the input images (coding an image as a set of overlapping but offset coarser images). Using this scheme, large input fields (4096 x 4096 pixels) can easily be represented using very little virtual memory (30Mb). The HONTIOR distribution consists of three main programs. The first program contains the training and testing routines for a third-order neural network. The second program contains the same training and testing procedures as the

The influence of expertise on brain activation of the Action Observation Network during anticipation of tennis and volleyball serves

Directory of Open Access Journals (Sweden)

Nils eBalser

2014-08-01

Full Text Available In many daily activities, and especially in sport, it is necessary to predict the effects of others’ actions in order to initiate appropriate responses. Recently, researchers have suggested that the action–observation network (AON including the cerebellum plays an essential role during such anticipation, particularly in sport expert performers. In the present study, we examined the influence of task-specific expertise on the AON by investigating differences between two expert groups trained in different sports while anticipating action effects. Altogether, 15 tennis and 16 volleyball experts anticipated the direction of observed tennis and volleyball serves while undergoing functional magnetic resonance imaging (fMRI. The expert group in each sport acted as novice controls in the other sport with which they had only little experience. When contrasting anticipation in both expertise conditions with the corresponding untrained sport, a stronger activation of AON areas (SPL, SMA, and particularly of cerebellar structures, was observed. Furthermore, the neural activation within the cerebellum and the SPL was linearly correlated with participant’s anticipation performance, irrespective of the specific expertise. For the SPL, this relationship also holds when an expert performs a domain-specific anticipation task. Notably, the stronger activation of the cerebellum as well as of the SMA and the SPL in the expertise conditions suggests that experts rely on their more fine-tuned perceptual-motor representations that have improved during years of training when anticipating the effects of others’ actions in their preferred sport. The association of activation within the SPL and the cerebellum with the task achievement suggests that these areas are the predominant brain sites involved in fast motor predictions. The SPL reflects the processing of domain-specific contextual information and the cerebellum the usage of a predictive internal model to

The influence of expertise on brain activation of the action observation network during anticipation of tennis and volleyball serves

Science.gov (United States)

Balser, Nils; Lorey, Britta; Pilgramm, Sebastian; Naumann, Tim; Kindermann, Stefan; Stark, Rudolf; Zentgraf, Karen; Williams, A. Mark; Munzert, Jörn

2014-01-01

In many daily activities, and especially in sport, it is necessary to predict the effects of others' actions in order to initiate appropriate responses. Recently, researchers have suggested that the action–observation network (AON) including the cerebellum plays an essential role during such anticipation, particularly in sport expert performers. In the present study, we examined the influence of task-specific expertise on the AON by investigating differences between two expert groups trained in different sports while anticipating action effects. Altogether, 15 tennis and 16 volleyball experts anticipated the direction of observed tennis and volleyball serves while undergoing functional magnetic resonance imaging (fMRI). The expert group in each sport acted as novice controls in the other sport with which they had only little experience. When contrasting anticipation in both expertise conditions with the corresponding untrained sport, a stronger activation of AON areas (SPL, SMA), and particularly of cerebellar structures, was observed. Furthermore, the neural activation within the cerebellum and the SPL was linearly correlated with participant's anticipation performance, irrespective of the specific expertise. For the SPL, this relationship also holds when an expert performs a domain-specific anticipation task. Notably, the stronger activation of the cerebellum as well as of the SMA and the SPL in the expertise conditions suggests that experts rely on their more fine-tuned perceptual-motor representations that have improved during years of training when anticipating the effects of others' actions in their preferred sport. The association of activation within the SPL and the cerebellum with the task achievement suggests that these areas are the predominant brain sites involved in fast motor predictions. The SPL reflects the processing of domain-specific contextual information and the cerebellum the usage of a predictive internal model to solve the anticipation

The influence of expertise on brain activation of the action observation network during anticipation of tennis and volleyball serves.

Science.gov (United States)

Balser, Nils; Lorey, Britta; Pilgramm, Sebastian; Naumann, Tim; Kindermann, Stefan; Stark, Rudolf; Zentgraf, Karen; Williams, A Mark; Munzert, Jörn

2014-01-01

In many daily activities, and especially in sport, it is necessary to predict the effects of others' actions in order to initiate appropriate responses. Recently, researchers have suggested that the action-observation network (AON) including the cerebellum plays an essential role during such anticipation, particularly in sport expert performers. In the present study, we examined the influence of task-specific expertise on the AON by investigating differences between two expert groups trained in different sports while anticipating action effects. Altogether, 15 tennis and 16 volleyball experts anticipated the direction of observed tennis and volleyball serves while undergoing functional magnetic resonance imaging (fMRI). The expert group in each sport acted as novice controls in the other sport with which they had only little experience. When contrasting anticipation in both expertise conditions with the corresponding untrained sport, a stronger activation of AON areas (SPL, SMA), and particularly of cerebellar structures, was observed. Furthermore, the neural activation within the cerebellum and the SPL was linearly correlated with participant's anticipation performance, irrespective of the specific expertise. For the SPL, this relationship also holds when an expert performs a domain-specific anticipation task. Notably, the stronger activation of the cerebellum as well as of the SMA and the SPL in the expertise conditions suggests that experts rely on their more fine-tuned perceptual-motor representations that have improved during years of training when anticipating the effects of others' actions in their preferred sport. The association of activation within the SPL and the cerebellum with the task achievement suggests that these areas are the predominant brain sites involved in fast motor predictions. The SPL reflects the processing of domain-specific contextual information and the cerebellum the usage of a predictive internal model to solve the anticipation task.

Expertise and processing distorted structure in chess.

Science.gov (United States)

Bartlett, James C; Boggan, Amy L; Krawczyk, Daniel C

2013-01-01

A classic finding in research on human expertise and knowledge is that of enhanced memory for stimuli in a domain of expertise as compared to either stimuli outside that domain, or within-domain stimuli that have been degraded or distorted in some way. However, we do not understand how experts process degradation or distortion of stimuli within the expert domain (e.g., a face with the eyes, nose, and mouth in the wrong positions, or a chessboard with pieces placed randomly). Focusing on the domain of chess, we present new fMRI evidence that when experts view such distorted/within-domain stimuli, they engage an active search for structure-a kind of exploratory chunking-that involves a component of a prefrontal-parietal network linked to consciousness, attention and working memory.

Nurture Hidden Talents: Transform School Culture into One That Values Teacher Expertise

Science.gov (United States)

Zimmerman, Diane P.

2014-01-01

This article looks into the school culture where teacher expertise is often hidden and underused. While the media-rich culture places a high value on talent, the irony is that talent is underrated in most schools, and educators often remain silent about their hidden talents. Many school cultures are not conducive to dialogue that supports displays…

Transmission Network Expansion Planning Considering Phase-Shifter Transformers

Directory of Open Access Journals (Sweden)

Celso T. Miasaki

2012-01-01

Full Text Available This paper presents a novel mathematical model for the transmission network expansion planning problem. Main idea is to consider phase-shifter (PS transformers as a new element of the transmission system expansion together with other traditional components such as transmission lines and conventional transformers. In this way, PS are added in order to redistribute active power flows in the system and, consequently, to diminish the total investment costs due to new transmission lines. Proposed mathematical model presents the structure of a mixed-integer nonlinear programming (MINLP problem and is based on the standard DC model. In this paper, there is also applied a specialized genetic algorithm aimed at optimizing the allocation of candidate components in the network. Results obtained from computational simulations carried out with IEEE-24 bus system show an outstanding performance of the proposed methodology and model, indicating the technical viability of using these nonconventional devices during the planning process.

Both novelty and expertise increase action observation network activity

Directory of Open Access Journals (Sweden)

Sook-Lei eLiew

2013-09-01

Full Text Available Our experiences with others affect how we perceive their actions. In particular, activity in bilateral premotor and parietal cortices during action observation, collectively known as the action observation network (AON, is modulated by one’s expertise with the observed actions or individuals. However, conflicting reports suggest that AON activity is greatest both for familiar and unfamiliar actions. The current study examines the effects of different types and amounts of experience (e.g., visual, interpersonal, personal on AON activation. fMRI was used to scan 16 healthy participants without prior experience with individuals with amputations (novices, 11 experienced occupational therapists (OTs who had varying amounts of experience with individuals with amputations, and one individual born with below-elbow residual limbs (participant CJ, as they viewed video clips of goal-matched actions performed by an individual with residual limbs and by an individual with hands. Participants were given increased visual exposure to actions performed by both effectors midway through the scanning procedure. Novices demonstrated a large AON response to the initial viewing of an individual with residual limbs compared to one with hands, but this signal was attenuated after they received visual exposure to both effectors. In contrast, OTs, who had moderate familiarity with residual limbs, demonstrated a lower AON response upon initial viewing—similar to novices after they received visual exposure. At the other extreme, CJ, who has extreme familiarity with residual limbs both visually and motorically, shows a largely increased left-lateralized AON response, exceeding that of novices and experienced OTs, when viewing the residual limb compared to hand actions. These results suggest that a nuanced model of AON engagement is needed to explain how cases of both extreme experience (CJ and extreme novelty (novices can result in the greatest AON activity.

SITEX, the European Network of Technical Expertise Organisation for Geological Disposal

International Nuclear Information System (INIS)

Pellegrini, D.; Rocher, M.; Bernier, F.; Detilleux, V.; Hériard Dubreuil, G.; Narkuniene, A.; Miksova, J.

2016-01-01

Objective: To identify and prioritize the needs for competence and skills development of the Expertise Function, at the international level. Commitments: − The SRA is developed by applying a transparent methodology; − The SRA addresses the needs associated with the different states of advancement of geological disposal (GD) programmes; The concerns of civil society are taken into consideration. Scope of the SRA: ‒ All the topics relevant to the Expertise Function to assess whether geological disposal facilities are developed and will be constructed, operated and closed in a safe manner. ‒ It encompasses all topics relevant to any waste type and spent fuel for which geological disposal is envisaged as a solution for its long-term management. ‒ The following types of activity are considered: • R&D activities; • exchanging on practices and developing common positions; • developing states of the art; • knowledge transfer (e.g. training or tutoring)

Automatic determination of pathological voice transformation coefficients for TDPDOLA using neural network

International Nuclear Information System (INIS)

Belgacem, H.; Cherif, A.

2011-01-01

One of the biggest challenges in vocal transformation with TD-PSOLA technique is the selection of modified parameters that will make a successful speech resynthesis. The best selection methods are by using human ratters. This study focuses on automatic determination of the pathological voice transformation coefficients using an Artificial Neural Network this way by comparing the results to the previous manual work. Four characterizied parameters (RATA-PLP, Jitter, Shimmer and RAP) were chosen. The system is developed with supervised training, consists of recognition (neural network) for synthesis (TD-PSOLA). The experimental results show that the parameter sets selected by the proposed system can be successfully used to resynthesize and demonstrating that our system can assist in vocal of pathological voice's transformation.

Inhibition delay increases neural network capacity through Stirling transform

Science.gov (United States)

Nogaret, Alain; King, Alastair

2018-03-01

Inhibitory neural networks are found to encode high volumes of information through delayed inhibition. We show that inhibition delay increases storage capacity through a Stirling transform of the minimum capacity which stabilizes locally coherent oscillations. We obtain both the exact and asymptotic formulas for the total number of dynamic attractors. Our results predict a (ln2) -N-fold increase in capacity for an N -neuron network and demonstrate high-density associative memories which host a maximum number of oscillations in analog neural devices.

Music and words in the visual cortex: The impact of musical expertise.

Science.gov (United States)

Mongelli, Valeria; Dehaene, Stanislas; Vinckier, Fabien; Peretz, Isabelle; Bartolomeo, Paolo; Cohen, Laurent

2017-01-01

How does the human visual system accommodate expertise for two simultaneously acquired symbolic systems? We used fMRI to compare activations induced in the visual cortex by musical notation, written words and other classes of objects, in professional musicians and in musically naïve controls. First, irrespective of expertise, selective activations for music were posterior and lateral to activations for words in the left occipitotemporal cortex. This indicates that symbols characterized by different visual features engage distinct cortical areas. Second, musical expertise increased the volume of activations for music and led to an anterolateral displacement of word-related activations. In musicians, there was also a dramatic increase of the brain-scale networks connected to the music-selective visual areas. Those findings reveal that acquiring a double visual expertise involves an expansion of category-selective areas, the development of novel long-distance functional connectivity, and possibly some competition between categories for the colonization of cortical space. Copyright © 2016 Elsevier Ltd. All rights reserved.

IRSN's expertise about nuclear medicine hospital effluents

International Nuclear Information System (INIS)

2009-01-01

This brief note aims at presenting the radioactivity follow up of hospital effluents performed by the French Institute of Radiation Protection and Nuclear Safety (IRSN). This follow up concerns the radioactive compounds and radiopharmaceuticals used in nuclear medicine, and principally technetium 99 and iodine 131. The IRSN has developed a network of remote measurement systems for the monitoring of sewers and waste water cleaning facilities. Data are compiled in a data base for analysis and subsequent expertise. (J.S.)

Managing the PSTN transformation a blueprint for a successful migration to IP-based networks

CERN Document Server

Dornheim, Sandra

2015-01-01

While there are many scholarly books and papers that cover the technical issues behind the public switched telephone network (PSTN) migration, few books describe exactly how to manage the migration process economically. Filling this need, Managing the PSTN Transformation: A Blueprint for a Successful Migration to IP-Based Networks reflects the latest understanding of the challenges behind migrating customers from the old PSTN network to an IP infrastructure. The IP transformation blueprint described in this book is not a theoretical cookbook that describes how this could work. Instead, the boo

A biologically inspired neural network model to transformation invariant object recognition

Science.gov (United States)

Iftekharuddin, Khan M.; Li, Yaqin; Siddiqui, Faraz

2007-09-01

Transformation invariant image recognition has been an active research area due to its widespread applications in a variety of fields such as military operations, robotics, medical practices, geographic scene analysis, and many others. The primary goal for this research is detection of objects in the presence of image transformations such as changes in resolution, rotation, translation, scale and occlusion. We investigate a biologically-inspired neural network (NN) model for such transformation-invariant object recognition. In a classical training-testing setup for NN, the performance is largely dependent on the range of transformation or orientation involved in training. However, an even more serious dilemma is that there may not be enough training data available for successful learning or even no training data at all. To alleviate this problem, a biologically inspired reinforcement learning (RL) approach is proposed. In this paper, the RL approach is explored for object recognition with different types of transformations such as changes in scale, size, resolution and rotation. The RL is implemented in an adaptive critic design (ACD) framework, which approximates the neuro-dynamic programming of an action network and a critic network, respectively. Two ACD algorithms such as Heuristic Dynamic Programming (HDP) and Dual Heuristic dynamic Programming (DHP) are investigated to obtain transformation invariant object recognition. The two learning algorithms are evaluated statistically using simulated transformations in images as well as with a large-scale UMIST face database with pose variations. In the face database authentication case, the 90° out-of-plane rotation of faces from 20 different subjects in the UMIST database is used. Our simulations show promising results for both designs for transformation-invariant object recognition and authentication of faces. Comparing the two algorithms, DHP outperforms HDP in learning capability, as DHP takes fewer steps to

Powering Ideas through Expertise

DEFF Research Database (Denmark)

Seabrooke, Leonard; Wigan, Duncan

2016-01-01

This contribution discusses how ideas are powered through expertise and moral authority. Professionals compete with each other to power ideas by linking claims to expertise, how things best work, to moral claims about how things should be. To show how, we draw on a case of battles over global tax...... reporting multinational corporations should provide to ensure they pay their fair share of tax. Ideas powered by expertise contain shared causal beliefs, as well as principled beliefs about value systems. We demonstrate that professionals can contest the established order when demonstrations of expertise...

Developing expertise in surgery.

Science.gov (United States)

Alderson, David

2010-01-01

The concept of expertise is widely embraced but poorly defined in surgery. Dictionary definitions differentiate between authority and experience, while a third view sees expertise as a mind-set rather than a status. Both absolute and relative models of expertise have been developed, and each allows a richer understanding of the application of these concepts to emerge. Trainees must develop both independent and interdependent expertise, and an appreciation of the essentially constructivist and uncertain nature of medical knowledge. Approach may be more important than innate talent; the concepts of 'flow', sustained 'deliberate practice' and 'adaptive expertise' are examples of expert approaches to learning. Non-analytical reasoning plays a key role in decision making at expert levels of practice. A technically gifted surgeon may be seen as a safety hazard rather than an expert if inter-dependent expertise has not been developed. Key roles of a surgical educator are to facilitate the development of an expert approach to education and to enable entry into and movement towards the centre of an expert community of practice.

Studying Real-World Perceptual Expertise

Directory of Open Access Journals (Sweden)

Jianhong eShen

2014-08-01

Full Text Available Significant insights into visual cognition have come from studying real-world perceptual expertise. Many have previously reviewed empirical findings and theoretical developments from this work. Here we instead provide a brief perspective on approaches, considerations, and challenges to studying real-world perceptual expertise. We discuss factors like choosing to use real-world versus artificial object domains of expertise, selecting a target domain of real-world perceptual expertise, recruiting experts, evaluating their level of expertise, and experimentally testing experts in the lab and online. Throughout our perspective, we highlight expert birding (also called birdwatching as an example, as it has been used as a target domain for over two decades in the perceptual expertise literature.

[Application of wavelet transform and neural network in the near-infrared spectrum analysis of oil shale].

Science.gov (United States)

Li, Su-Yi; Ji, Yan-Ju; Liu, Wei-Yu; Wang, Zhi-Hong

2013-04-01

In the present study, an innovative method is proposed, employing both wavelet transform and neural network, to analyze the near-infrared spectrum data in oil shale survey. The method entails using db8 wavelet at 3 levels decomposition to process raw data, using the transformed data as the input matrix, and creating the model through neural network. To verify the validity of the method, this study analyzes 30 synthesized oil shale samples, in which 20 samples are randomly selected for network training, the other 10 for model prediction, and uses the full spectrum and the wavelet transformed spectrum to carry out 10 network models, respectively. Results show that the mean speed of the full spectrum neural network modeling is 570.33 seconds, and the predicted residual sum of squares (PRESS) and correlation coefficient of prediction are 0.006 012 and 0.843 75, respectively. In contrast, the mean speed of the wavelet network modeling method is 3.15 seconds, and the mean PRESS and correlation coefficient of prediction are 0.002 048 and 0.953 19, respectively. These results demonstrate that the wavelet neural network modeling method is significantly superior to the full spectrum neural network modeling method. This study not only provides a new method for more efficient and accurate detection of the oil content of oil shale, but also indicates the potential for applying wavelet transform and neutral network in broad near-infrared spectrum analysis.

Multi-port network and 3D finite-element models for accurate transformer calculations: Single-phase load-loss test

Energy Technology Data Exchange (ETDEWEB)

Escarela-Perez, R. [Departamento de Energia, Universidad Autonoma Metropolitana, Av. San Pablo 180, Col. Reynosa, C.P. 02200, Mexico D.F. (Mexico); Kulkarni, S.V. [Electrical Engineering Department, Indian Institute of Technology, Bombay (India); Melgoza, E. [Instituto Tecnologico de Morelia, Av. Tecnologico 1500, Morelia, Mich., C.P. 58120 (Mexico)

2008-11-15

A six-port impedance network for a three-phase transformer is obtained from a 3D time-harmonic finite-element (FE) model. The network model properly captures the eddy current effects of the transformer tank and frame. All theorems and tools of passive linear networks can be used with the multi-port model to simulate several important operating conditions without resorting anymore to computationally expensive 3D FE simulations. The results of the network model are of the same quality as those produced by the FE program. Although the passive network may seem limited by the assumption of linearity, many important transformer operating conditions imply unsaturated states. Single-phase load-loss measurements are employed to demonstrate the effectiveness of the network model and to understand phenomena that could not be explained with conventional equivalent circuits. In addition, formal deduction of novel closed-form formulae is presented for the calculation of the leakage impedance measured at the high and low voltage sides of the transformer. (author)

Transforming Musical Signals through a Genre Classifying Convolutional Neural Network

Science.gov (United States)

Geng, S.; Ren, G.; Ogihara, M.

2017-05-01

Convolutional neural networks (CNNs) have been successfully applied on both discriminative and generative modeling for music-related tasks. For a particular task, the trained CNN contains information representing the decision making or the abstracting process. One can hope to manipulate existing music based on this 'informed' network and create music with new features corresponding to the knowledge obtained by the network. In this paper, we propose a method to utilize the stored information from a CNN trained on musical genre classification task. The network was composed of three convolutional layers, and was trained to classify five-second song clips into five different genres. After training, randomly selected clips were modified by maximizing the sum of outputs from the network layers. In addition to the potential of such CNNs to produce interesting audio transformation, more information about the network and the original music could be obtained from the analysis of the generated features since these features indicate how the network 'understands' the music.

Entropy-based heavy tailed distribution transformation and visual analytics for monitoring massive network traffic

Science.gov (United States)

Han, Keesook J.; Hodge, Matthew; Ross, Virginia W.

2011-06-01

For monitoring network traffic, there is an enormous cost in collecting, storing, and analyzing network traffic datasets. Data mining based network traffic analysis has a growing interest in the cyber security community, but is computationally expensive for finding correlations between attributes in massive network traffic datasets. To lower the cost and reduce computational complexity, it is desirable to perform feasible statistical processing on effective reduced datasets instead of on the original full datasets. Because of the dynamic behavior of network traffic, traffic traces exhibit mixtures of heavy tailed statistical distributions or overdispersion. Heavy tailed network traffic characterization and visualization are important and essential tasks to measure network performance for the Quality of Services. However, heavy tailed distributions are limited in their ability to characterize real-time network traffic due to the difficulty of parameter estimation. The Entropy-Based Heavy Tailed Distribution Transformation (EHTDT) was developed to convert the heavy tailed distribution into a transformed distribution to find the linear approximation. The EHTDT linearization has the advantage of being amenable to characterize and aggregate overdispersion of network traffic in realtime. Results of applying the EHTDT for innovative visual analytics to real network traffic data are presented.

Implementing the sine transform of fermionic modes as a tensor network

Science.gov (United States)

Epple, Hannes; Fries, Pascal; Hinrichsen, Haye

2017-09-01

Based on the algebraic theory of signal processing, we recursively decompose the discrete sine transform of the first kind (DST-I) into small orthogonal block operations. Using a diagrammatic language, we then second-quantize this decomposition to construct a tensor network implementing the DST-I for fermionic modes on a lattice. The complexity of the resulting network is shown to scale as 5/4 n logn (not considering swap gates), where n is the number of lattice sites. Our method provides a systematic approach of generalizing Ferris' spectral tensor network for nontrivial boundary conditions.

Detection and classification of power quality disturbances using S-transform and modular neural network

Energy Technology Data Exchange (ETDEWEB)

Bhende, C.N.; Mishra, S.; Panigrahi, B.K. [Department of Electrical Engineering, Indian Institute of Technology, New Delhi 110016 (India)

2008-01-15

This paper presents an S-transform based modular neural network (NN) classifier for recognition of power quality disturbances. The excellent time - frequency resolution characteristics of the S-transform makes it an attractive candidate for the analysis of power quality (PQ) disturbances under noisy condition and has the ability to detect the disturbance correctly. On the other hand, the performance of wavelet transform (WT) degrades while detecting and localizing the disturbances in the presence of noise. Features extracted by using the S-transform are applied to a modular NN for automatic classification of the PQ disturbances that solves a relatively complex problem by decomposing it into simpler subtasks. Modularity of neural network provides better classification, model complexity reduction and better learning capability, etc. Eleven types of PQ disturbances are considered for the classification. The simulation results show that the combination of the S-transform and a modular NN can effectively detect and classify different power quality disturbances. (author)

Prescribing safety, negotiating expertise. Building of nuclear safety human factors expertise

International Nuclear Information System (INIS)

Rolina, Gregory

2008-01-01

This Ph.D thesis is dedicated to a specific type of expertise, the safety of nuclear installations in the field of human and organisational factors. Empirical work is at the foundation of this thesis: the monitoring of experts 'in action', allowed a detailed reconstruction of three cases they were examining. The analysis, at the core of which lies the definition of what an efficient expertise can be, emphasizes the incompleteness of the knowledge that links together the nuclear facilities' organisational characteristics and their safety. This leads us to identify the expert's three ranges of actions (rhetorical, cognitive, operative). Defined from objectives and constraints likely to influence the expert's behaviour, those three ranges each require specific skills. A conception of expertise based on these ranges seems adaptable to other sectors and allows an enrichment of models of expertise cited in literature. Historical elements from French institutions of nuclear safety are also called upon to take into consideration some of the determinants of the expertise; its efficiency relies on the upholding of a continuous dialogue between the regulators (the experts and the control authority) and the regulated (the operators). This type of historically inherited regulation makes up a specificity of the French system of external control of nuclear risks. (author) [fr

The nature of chess expertise: knowledge or search?

Directory of Open Access Journals (Sweden)

Ekaterina E. Vasyukova

2012-01-01

Full Text Available In this article, we briefl y survey studies of the nature of expertise, and we presentthe results of research directed at evidence of the complicated nature of expertise,which is most eff ectively seen in experts’ use of a transfer mechanism. Thephenomenon of the transfer of verbalized operational senses (VOS is analyzedand is investigated on the basis of the sense theory of thinking, as proposed byTikhomirov (1969, 1984.It is shown that VOS transfer manifests itself in diverse forms. It seems to be dependenton the factors of chess position and the age and skill level of the player.Diverse forms of transferring are associated with a change in separate indices ofVOS volume, structure, depth, and degree of consciousness in a connected position.VOS transfer is found more in skilled than in unskilled chess players; skilledplayers demonstrate selectivity of search in a connected position. VOS transfer isassociated not simply with the repetition and copying of some forecasts, whichgive the direction of search, but also with using and transforming the results ofprevious verbal searches.

CITEQ creates a transformer for underground electric networks: a joint initiative by Hydro-Quebec and ABB

International Nuclear Information System (INIS)

Cordeau, P.

1997-01-01

Advances in technology regarding underground transformers was discussed. After more than 3 years of research, CITEQ (Centre d'innovation sur le transport d'energie du Quebec), a new company founded by Hydro-Quebec and ABB, is on the verge of a breakthrough with a new submersible transformer with solid insulation. This transformer was specially designed for use in underground electric networks. The new transformer is a good alternative to conventional oil transformers which have a high risk of pollution mainly due to corrosion, leaks, explosions or fires. Also, the outer shell of the new transformer is composed of composite material which will eliminate the need for maintenance. The service life of the new transformer is expected to be approximately 30 to 40 years. CITEQ is hoping that this new technology will benefit the residential sector which is powered by underground distribution networks. 1 fig

Cross-Platform Learning Media Development of Software Installation on Computer Engineering and Networking Expertise Package

Directory of Open Access Journals (Sweden)

Afis Pratama

2018-03-01

Full Text Available Software Installation is one of the important lessons that must be mastered by student of computer and network engineering expertise package. But there is a problem about the lack of attention and concentration of students in following the teaching and learning process in the subject of installation of the software. The matter must immediately find a solution. This research refers to the technology development that is always increasing. The technology can be used as a tool to support learning activities. Currently, all grade 10 students in public vocational high school (SMK 8 Semarang Indonesia already have a gadget, either a smartphone or a laptop and the intensity of usage is high enough. Based on this phenomenon, this research aims to create a learning media software installation that is cross-platform. It is practical and can be carried easily in a smartphone and a laptop that has different operating system. So that, this media is expected to improve learning outcomes, understanding and enthusiasm of the students in the software installation lesson.

Whether Audit Committee Financial Expertise Is the Only Relevant Expertise: A Review of Audit Committee Expertise and Timeliness of Financial Reporting

Directory of Open Access Journals (Sweden)

Saeed Rabea Baatwah

2013-06-01

Full Text Available This study reviews the literature on audit committee expertise and financial reporting timeliness. Financial reporting timeliness and audit committee expertise are two areas of research gaining the attention of a large number of stakeholders because they contribute to the reliability and the  relevancy of financial reporting. Indeed, the focus of this review is primarily on the recent developments in the pertinent literature in order to show the limitations of such research and encourage future research to overcome these limitations. By also looking at the development of the audit committee expertise literature, this study concludes that (1 like most audit committee literature, financial reporting timeliness literature continues to assume the absence of the contribution of expertise other than financial expertise, and ignore the role of audit committee chair; (2 most of this literature fails to find a significant effect because it ignores the interaction among corporate governance mechanisms. Accordingly, this study posits that ignoring the issues raised in such research by future research would lead to major mistakes in reforms relating to how the quality of financial reporting can be enhanced.

Development and Validation of a Supportive Learning Environment for Expertise Development Questionnaire (SLEED-Q)

Science.gov (United States)

Elvira, Quincy; Beausaert, Simon; Segers, Mien; Imants, Jeroen; Dankbaar, Ben

2016-01-01

Development of professional expertise is the process of continually transforming the repertoire of knowledge, skills and attitudes necessary to solve domain-specific problems which begins in late secondary education and continues during higher education and throughout professional life. One educational goal is to train students to think more like…

Rituals of environmental expertise

DEFF Research Database (Denmark)

Petersen, Lars Kjerulf

2008-01-01

Use of experts in media reports about the environment is not confined to its information function. Voices of expertise also serve a ritual function in societal communication by enacting collective sentiments and common world views cast around consensus as well as conflict. This article presents...... theoretical discussions and examples from a case study of Danish television news coverage of the environment supporting such an understanding of expertise in broadcast media. And adds to the discussion of expertise a discussion of the opposing category of lay knowledge....

Study on New Smart Transformer Terminal Unit Based on ARM and GPRS Network

Directory of Open Access Journals (Sweden)

Na Wu

2013-12-01

Full Text Available Distribution transformer is one of the most important power equipments in distribution network, whose running state exercises a great influence on the stability of the network. Transformer Terminal Unit (TTU is an effective device to monitor the running state of transformers in the distribution automation system. In this paper, we study a new smart TTU which uses ARM7 series chip as processor, equipped with ATT7022B based electric meter module and GPRS module for remote data transmission control. We focus on the corresponding hardware, software design and the measurement principle of harmonics of TTU. The new TTU can measure the electric parameters of the distribution transformer precisely. Taking advantage of the powerful ARM processor, it can analyze harmonic of the power line effectively. Due to the always-on-line feature of GPRS, TTU can achieve reliable communication with the remote terminal and the master station. Compared with other similar units, the new unit outperforms in terms of real-time, precision and reliability, which can fully meet with the high-speed development of distribution automation system.

Understanding Expertise from Elite Badminton Coaches

Science.gov (United States)

Sheu, Feng-Ru

2011-01-01

Badminton is a growing sport with a limited amount of expertise both in players and coaches so attempts are being made to extend the expertise internationally. The purpose of this study is to gain an understanding of coaching expertise in badminton because such an understanding might have implications for a more general understanding of expertise,…

Competence and Professional Expertise

NARCIS (Netherlands)

Evers, A.T.; Heijden, B.I.J.M. van der; Mulder, M.

2017-01-01

Theoretical and empirical controversies exist about the understanding and potentials of the concepts of competence and professional expertise. In this chapter, both concepts will be thoroughly conceptualised and discussed. Competence and professional expertise are important as all professionals need

Competence and Professional Expertise

NARCIS (Netherlands)

Evers, Arnoud; Van der Heijden, Beatrice

2018-01-01

Theoretical and empirical controversies exist about the understanding and potentials of the concepts competence and professional expertise. In this chapter, both concepts will be thoroughly conceptualised and discussed. Competence and professional expertise are important as all professionals need to

Embodied mental rotation: A special link between egocentric transformation and the bodily self

Directory of Open Access Journals (Sweden)

Sandra eKaltner

2014-06-01

Full Text Available This experiment investigated the influence of motor expertise on object-based versus egocentric transformations in a chronometric mental rotation task using images of either the own or another person’s body as stimulus material. According to the embodied cognition viewpoint, we hypothesized motor-experts to outperform non-motor experts specifically in the egocentric condition because of higher kinesthetic representation and motor simulations compared to object-based transformations. In line with this, we expected that images of the own body are solved faster than another person’s body stimuli. Results showed a benefit of motor expertise and representations of another person’s body, but only for the object-based transformation task. That is, this other-advantage diminishes in egocentric transformations. Since motor experts didn’t show any specific expertise in rotational movements, we concluded that using human bodies as stimulus material elicits embodied spatial transformations, which facilitates performance exclusively for egocentric transformations. Regarding stimulus material, the other-advantage ascribed to increased self-awareness-consciousness distracting attention-demanding resources, disappeared in the egocentric condition. This result may be due to the stronger link between the bodily self and motor representations compared to that emerging in object-based transformations.

Invariant 2D object recognition using the wavelet transform and structured neural networks

Science.gov (United States)

Khalil, Mahmoud I.; Bayoumi, Mohamed M.

1999-03-01

This paper applies the dyadic wavelet transform and the structured neural networks approach to recognize 2D objects under translation, rotation, and scale transformation. Experimental results are presented and compared with traditional methods. The experimental results showed that this refined technique successfully classified the objects and outperformed some traditional methods especially in the presence of noise.

From Formal Expertise to Co-expertise: Experience in the Field of Protection against Radiation

International Nuclear Information System (INIS)

Lochard, Jacques

2002-01-01

As a result of the growing difficulties confronting the heads of public and private high-risk activities, expertise practices have changed radically over the past years in the areas of risk assessment and management. In answer to the erosion of the credibility and legitimacy of traditional 'scientific' expertise, new forms of expertise based on citizen participation have emerged, particularly in fields involving public trust. The author's aim is to analyse the main changes in the field of radiological protection, on the basis of his 25 years of experience in the field. In conclusion, the author discusses the independence of expert assessment, an issue central to the present debate on the organization and practice of expertise in the field of high-risk activities

Spiking, Bursting, and Population Dynamics in a Network of Growth Transform Neurons.

Science.gov (United States)

Gangopadhyay, Ahana; Chakrabartty, Shantanu

2017-04-27

This paper investigates the dynamical properties of a network of neurons, each of which implements an asynchronous mapping based on polynomial growth transforms. In the first part of this paper, we present a geometric approach for visualizing the dynamics of the network where each of the neurons traverses a trajectory in a dual optimization space, whereas the network itself traverses a trajectory in an equivalent primal optimization space. We show that as the network learns to solve basic classification tasks, different choices of primal-dual mapping produce unique but interpretable neural dynamics like noise shaping, spiking, and bursting. While the proposed framework is general enough, in this paper, we demonstrate its use for designing support vector machines (SVMs) that exhibit noise-shaping properties similar to those of ΣΔ modulators, and for designing SVMs that learn to encode information using spikes and bursts. It is demonstrated that the emergent switching, spiking, and burst dynamics produced by each neuron encodes its respective margin of separation from a classification hyperplane whose parameters are encoded by the network population dynamics. We believe that the proposed growth transform neuron model and the underlying geometric framework could serve as an important tool to connect well-established machine learning algorithms like SVMs to neuromorphic principles like spiking, bursting, population encoding, and noise shaping.

How motor, cognitive and musical expertise shapes the brain: Focus on fMRI and EEG resting-state functional connectivity

DEFF Research Database (Denmark)

Cantou, Pauline; Platel, Hervé; Desgranges, Béatrice

2017-01-01

about functional cerebral reorganization due to expertise at the whole-brain level and might facilitate comparison across studies. Resting-state functional MRI and EEG makes it possible to explore the functional traces of expertise in the brain by measuring temporal correlations of blood oxygen level......, to determine whether there is a domain-specific neural signature of expertise. After highlighting expertise-related changes within resting-state networks for each domain, we discuss their specificity to the trained activity and the methodological considerations concerning different conditions and analyses used......-dependent (BOLD) and spontaneous neural activity fluctuations at rest. Since these correlations are thought to reflect a prior history co-activation of brain regions, we propose reviewing studies that focused on the effects of expertise in the motor, cognitive and musical domains on brain plasticity at rest...

The committee of scientific expertise coordination; Le comite de coordination d'expertise scientifique

Energy Technology Data Exchange (ETDEWEB)

NONE

2003-07-01

Placed under the MIES control, the Committee of scientific expertise coordination defines the needs, the contain and the planing of expertises realized in function of Climate national and international decisions and negotiations calendars. The Committee verifies the different expertises and offers the administrations, scientific tools and techniques useful for the negotiations. It can also define long-dated research needs which require the scientific community mobilization. This paper provides some document of the Committee: objectives, operating and priorities of the Committee, scenarios ''Factor 4'' and ''crack technology'', perceptions and practices, developing countries (China, India...), Euromed. (A.L.B.)

Significance of application of the nine parametric coordinate transformation where local state network is not enough reliable

Directory of Open Access Journals (Sweden)

Ristić Kornelija T.

2016-01-01

Full Text Available The most commonly used method for establishing the mathematical basis of surveying and spatial data collection is the method of Global Navigation Satellite Positioning System (GNSS. However, these data relate to the World Geodetic Date WGS84 which is different from the State geodetic network,. As a part of realization the project of determining spatial local reference network Mrkonjić Grad the GNSS observations on 15 trigonometric points whose position is known to the State system of coordinates (x, y, h were made. For the purpose of coordinate transformation between the two system two different transformation models were anlyzed. Beside the most commonly used Helmert seven parameter transformation, afina nine parametric transformation was tested. Comparing the two transformations models, conclusion was made that showes some benefits of using affina nine parameter transformation models in Republic of Serpska.

Large research infrastrucures and networking. Two key factors for maintaining nuclear expertise in Europe

International Nuclear Information System (INIS)

Cognet, G.; Iracane, D.

2004-01-01

Large research infrastructures are of key importance to improve the efficiency and the safety of nuclear energy production. To support present and coming power reactors and fuel cycle facilities and to develop future systems, it is necessary to optimise these infrastructures and their use by taking into account the networking of existing facilities, the access by the European researchers to conduct their own research projects and the creation of new installations when facing ageing issues. Large infrastructures include material testing reactor, hot laboratories for material and fuel under irradiation studies, fuel cycle researches and facilities dedicated to severe accident studies. For example, the CEA severe accident study platform has been recently used by a Bulgarian team to conduct its own research project with a grant provided by the European Commission. Furthermore, because present European material testing reactors are ageing, renewing the irradiation capability is an important and structuring stake for the fission research in Europe in order to continue safe and optimised operations of existing reactors, to support Generation 4 RTD and to keep alive competences. Considering that, CEA has decided to launch the project Jules Horowitz aiming at building a new research reactor. The access to the CEA facilities, including the Jules Horowitz reactor, combined with equivalent possibilities of access to other European facilities through a specific platform would help to develop a long-term vision, to create a coherent and dynamic strategy, to contribute to the stimulation of a large cooperation on nuclear fission, to enable a common approach of safety issues, to gather competencies, to promote the attractiveness of nuclear research to young scientists and to maintain European nuclear expertise at the highest level. This paper intends to provide a view of the existing and needed infrastructures, discuss the ways of access and finally open the discussion on the

Improving the performance of neutral network in differentiation of breast tumors using wavelet transformation on dynamic MRI

International Nuclear Information System (INIS)

Abdolmaleki, P.; Abrishami-Moghddam, H.; Gity, M.; Mokhtari- Dizaji, M.; Mostafa, A.

2005-01-01

A computer aided diagnosis system was established using the wavelet transform and neural network to differentiate malignant from benign in a group of patients with histo-pathologically proved breast lesions based on the data derived independently from time-intensity profile. Materials and Methods: The performance of the artificial neural network was evaluated using a database with 105 patients' records each of which consisted of 8 quantitative parameters mostly derived from time- intensity profile using wavelet transform. These findings were encoded as features for a three-layered neural network to predict the outcome of biopsy. The network was trained and tested using the jackknife method and its performance was then compared to that of the radiologists in terms of sensitivity, specificity and accuracy using receiver operating characteristic curve (ROC) analysis. Results: The network was able to classify correctly the 84 original cases and yielded a comparable diagnostic accuracy (80%), compared to that of the radiologist (85%) by performing a constructive association between extracted quantitative data and corresponding pathological results (r=0.63, p<0.001). Conclusion: An artificial neural network supported by wavelet transform can be trained to differentiate malignant from benign breast tumors with a reasonable degree of accuracy

Voltage Management in Unbalanced Low Voltage Networks Using a Decoupled Phase-Tap-Changer Transformer

DEFF Research Database (Denmark)

Coppo, Massimiliano; Turri, Roberto; Marinelli, Mattia

2014-01-01

The paper studies a medium voltage-low voltage transformer with a decoupled on load tap changer capability on each phase. The overall objective is the evaluation of the potential benefits on a low voltage network of such possibility. A realistic Danish low voltage network is used for the analysis...

40 CFR 1508.26 - Special expertise.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 32 2010-07-01 2010-07-01 false Special expertise. 1508.26 Section 1508.26 Protection of Environment COUNCIL ON ENVIRONMENTAL QUALITY TERMINOLOGY AND INDEX § 1508.26 Special expertise. Special expertise means statutory responsibility, agency mission, or related program...

A prospective randomized trial of content expertise versus process expertise in small group teaching.

Science.gov (United States)

Peets, Adam D; Cooke, Lara; Wright, Bruce; Coderre, Sylvain; McLaughlin, Kevin

2010-10-14

Effective teaching requires an understanding of both what (content knowledge) and how (process knowledge) to teach. While previous studies involving medical students have compared preceptors with greater or lesser content knowledge, it is unclear whether process expertise can compensate for deficient content expertise. Therefore, the objective of our study was to compare the effect of preceptors with process expertise to those with content expertise on medical students' learning outcomes in a structured small group environment. One hundred and fifty-one first year medical students were randomized to 11 groups for the small group component of the Cardiovascular-Respiratory course at the University of Calgary. Each group was then block randomized to one of three streams for the entire course: tutoring exclusively by physicians with content expertise (n = 5), tutoring exclusively by physicians with process expertise (n = 3), and tutoring by content experts for 11 sessions and process experts for 10 sessions (n = 3). After each of the 21 small group sessions, students evaluated their preceptors' teaching with a standardized instrument. Students' knowledge acquisition was assessed by an end-of-course multiple choice (EOC-MCQ) examination. Students rated the process experts significantly higher on each of the instrument's 15 items, including the overall rating. Students' mean score (±SD) on the EOC-MCQ exam was 76.1% (8.1) for groups taught by content experts, 78.2% (7.8) for the combination group and 79.5% (9.2) for process expert groups (p = 0.11). By linear regression student performance was higher if they had been taught by process experts (regression coefficient 2.7 [0.1, 5.4], p teach first year medical students within a structured small group environment; preceptors with process expertise result in at least equivalent, if not superior, student outcomes in this setting.

Beyond Faces and Expertise

Science.gov (United States)

Zhao, Mintao; Bülthoff, Heinrich H.; Bülthoff, Isabelle

2016-01-01

Holistic processing—the tendency to perceive objects as indecomposable wholes—has long been viewed as a process specific to faces or objects of expertise. Although current theories differ in what causes holistic processing, they share a fundamental constraint for its generalization: Nonface objects cannot elicit facelike holistic processing in the absence of expertise. Contrary to this prevailing view, here we show that line patterns with salient Gestalt information (i.e., connectedness, closure, and continuity between parts) can be processed as holistically as faces without any training. Moreover, weakening the saliency of Gestalt information in these patterns reduced holistic processing of them, which indicates that Gestalt information plays a crucial role in holistic processing. Therefore, holistic processing can be achieved not only via a top-down route based on expertise, but also via a bottom-up route relying merely on object-based information. The finding that facelike holistic processing can extend beyond the domains of faces and objects of expertise poses a challenge to current dominant theories. PMID:26674129

Musical expertise and second language learning.

Science.gov (United States)

Chobert, Julie; Besson, Mireille

2013-06-06

Increasing evidence suggests that musical expertise influences brain organization and brain functions. Moreover, results at the behavioral and neurophysiological levels reveal that musical expertise positively influences several aspects of speech processing, from auditory perception to speech production. In this review, we focus on the main results of the literature that led to the idea that musical expertise may benefit second language acquisition. We discuss several interpretations that may account for the influence of musical expertise on speech processing in native and foreign languages, and we propose new directions for future research.

The Importance of Domain-Specific Expertise in Creativity

Science.gov (United States)

Baer, John

2015-01-01

Although creativity and expertise are related, they are nonetheless very different things. Expertise does not usually require creativity, but creativity generally does require a certain level of expertise. There are similarities in the relationships of both expertise and creativity to domains, however. Research has shown that just as expertise in…

Three-dimensional object recognitions from two-dimensional images using wavelet transforms and neural networks

Science.gov (United States)

Deschenes, Sylvain; Sheng, Yunlong; Chevrette, Paul C.

1998-03-01

3D object classification from 2D IR images is shown. The wavelet transform is used for edge detection. Edge tracking is used for removing noise effectively int he wavelet transform. The invariant Fourier descriptor is used to describe the contour curves. Invariance under out-of-plane rotation is achieved by the feature space trajectory neural network working as a classifier.

Anticorruption expertise of law-enforcement acts

Directory of Open Access Journals (Sweden)

Sergey B. Polyakov

2015-12-01

Full Text Available Objective to substantiate public necessity to define the subject methodological and organizational capabilities of anticorruption expertise of law enforcement acts. Methods universal dialecticmaterialistic method was used to study the needs in anticorruption expertise of law enforcement acts in the mechanism of legal regulation based on it general scientific and special formal legal and comparative legal methods of research used for the definition of subjectmatter of the proposed expertise. Results the value of anticorruption expertise of law enforcement was shown corruption factors and corruption indicators enabling legislation were identified ways of conducting such examinations were proposed. Scientific novelty the article examines the need and the subject proposes methods of a new type of anticorruption expertise. Practical significance the conditions of corruption are defined which are created in law enforcement activities and methods for their detection are proposed. nbsp

Relational Expertise in Participatory Design

DEFF Research Database (Denmark)

Dindler, Christian; Iversen, Ole Sejer

2014-01-01

This paper positions relation expertise as a core competence in participatory design. It is an expertise that demands the participatory designer to stimulate the emergence of loosely coupled knotworks, and obtain symbiotic agreement between participants disregarding their professional and social...

A method of optimized neural network by L-M algorithm to transformer winding hot spot temperature forecasting

Science.gov (United States)

Wei, B. G.; Wu, X. Y.; Yao, Z. F.; Huang, H.

2017-11-01

Transformers are essential devices of the power system. The accurate computation of the highest temperature (HST) of a transformer’s windings is very significant, as for the HST is a fundamental parameter in controlling the load operation mode and influencing the life time of the insulation. Based on the analysis of the heat transfer processes and the thermal characteristics inside transformers, there is taken into consideration the influence of factors like the sunshine, external wind speed etc. on the oil-immersed transformers. Experimental data and the neural network are used for modeling and protesting of the HST, and furthermore, investigations are conducted on the optimization of the structure and algorithms of neutral network are conducted. Comparison is made between the measured values and calculated values by using the recommended algorithm of IEC60076 and by using the neural network algorithm proposed by the authors; comparison that shows that the value computed with the neural network algorithm approximates better the measured value than the value computed with the algorithm proposed by IEC60076.

The committee of scientific expertise coordination; Le comite de coordination d'expertise scientifique

Energy Technology Data Exchange (ETDEWEB)

NONE

2003-07-01

Placed under the MIES control, the Committee of scientific expertise coordination defines the needs, the contain and the planing of expertises realized in function of Climate national and international decisions and negotiations calendars. The Committee verifies the different expertises and offers the administrations, scientific tools and techniques useful for the negotiations. It can also define long-dated research needs which require the scientific community mobilization. This paper provides some document of the Committee: objectives, operating and priorities of the Committee, scenarios ''Factor 4'' and ''crack technology'', perceptions and practices, developing countries (China, India...), Euromed. (A.L.B.)

Transformation rules and degradation of CAHs by Fentonlike oxidation in growth ring of water distribution network-A review

Science.gov (United States)

Zhong, D.; Ma, W. C.; Jiang, X. Q.; Yuan, Y. X.; Yuan, Y.; Wang, Z. Q.; Fang, T. T.; Huang, W. Y.

2017-08-01

Chlorinated hydrocarbons are widely used as organic solvent and chemical raw materials. After treatment, water polluted with trichloroethylene (TCE)/tetrachloroethylene (PCE) can reach the water quality requirements, while water with trace amounts of TCE/PCE is still harmful to humans, which will cause cancers. Water distribution network is an extremely complicated system, in which adsorption, desorption, flocculation, movement, transformation and reduction will occur, leading to changes of TCE/PCE concentrations and products. Therefore, it is important to investigate the transformation rules of TCE/PCE in water distribution network. What’s more, growth-ring, including drinking water pipes deposits, can act as catalysts in Fenton-like reagent (H2O2). This review summarizes the status of transformation rules of CAHs in water distribution network. It also evaluates the effectiveness and fruit of CAHs degradation by Fenton-like reagent based on growth-ring. This review is important in solving the potential safety problems caused by TCE/PCE in water distribution network.

Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods.

Science.gov (United States)

Arcos-García, Álvaro; Álvarez-García, Juan A; Soria-Morillo, Luis M

2018-03-01

This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Convolutional layers and Spatial Transformer Networks. Such trials are built to measure the impact of diverse factors with the end goal of designing a Convolutional Neural Network that can improve the state-of-the-art of traffic sign classification task. First, different adaptive and non-adaptive stochastic gradient descent optimisation algorithms such as SGD, SGD-Nesterov, RMSprop and Adam are evaluated. Subsequently, multiple combinations of Spatial Transformer Networks placed at distinct positions within the main neural network are analysed. The recognition rate of the proposed Convolutional Neural Network reports an accuracy of 99.71% in the German Traffic Sign Recognition Benchmark, outperforming previous state-of-the-art methods and also being more efficient in terms of memory requirements. Copyright © 2018 Elsevier Ltd. All rights reserved.

The Automation-by-Expertise-by-Training Interaction.

Science.gov (United States)

Strauch, Barry

2017-03-01

I introduce the automation-by-expertise-by-training interaction in automated systems and discuss its influence on operator performance. Transportation accidents that, across a 30-year interval demonstrated identical automation-related operator errors, suggest a need to reexamine traditional views of automation. I review accident investigation reports, regulator studies, and literature on human computer interaction, expertise, and training and discuss how failing to attend to the interaction of automation, expertise level, and training has enabled operators to commit identical automation-related errors. Automated systems continue to provide capabilities exceeding operators' need for effective system operation and provide interfaces that can hinder, rather than enhance, operator automation-related situation awareness. Because of limitations in time and resources, training programs do not provide operators the expertise needed to effectively operate these automated systems, requiring them to obtain the expertise ad hoc during system operations. As a result, many do not acquire necessary automation-related system expertise. Integrating automation with expected operator expertise levels, and within training programs that provide operators the necessary automation expertise, can reduce opportunities for automation-related operator errors. Research to address the automation-by-expertise-by-training interaction is needed. However, such research must meet challenges inherent to examining realistic sociotechnical system automation features with representative samples of operators, perhaps by using observational and ethnographic research. Research in this domain should improve the integration of design and training and, it is hoped, enhance operator performance.

The nature of expertise and human resource functions supporting expertise in nuclear industry organizations

International Nuclear Information System (INIS)

Rintala, N.; Katri, S.; Eila, J.; Pahkin, K.; Anneli, L.

2007-01-01

Full text: The nuclear industry worldwide faces the challenge of preserving the existing expertise, competence and knowledge despite of the ageing workforce and upcoming retirements. Challenges are also imposed by the reducing amount of new recruits and students entering the nuclear industry, which amounts to fewer young professionals that have the potential to become nuclear experts in the future. Although many other industries share similar challenges, the preservation of expertise in the nuclear industry is even more important due to the safety-critical nature of the nuclear operations and the special characteristics that high-reliability organizations such as nuclear power plants have. As a response to the risk of knowledge loss, nuclear organizations have engaged in knowledge capturing efforts. New information systems and organizational practices have been implemented to safeguard nuclear expertise. Recently, IAEA has proposed nuclear organizations to design and adopt people-centered programs that encompass themes such as workforce planning, recruitment, training, succession planning, leadership development and knowledge management. Thus, in order to address the current risks to nuclear expertise, attention should be focused on these different areas and corresponding human resources (HR) functions within the nuclear organizations. Our paper presents results from a project which examines the nature of expert work and human resources (HR) functions that support the development and preservation of expertise. The study adopts a qualitative cross-sectional case study design. Two organizational units from different nuclear industry organizations have been selected as cases. The research data will be gathered in April-May 2007 and preliminary results will be presented in the International Conference of Knowledge Management in Nuclear Facilities, in June 2007. The main data will comprise of thematic interviews to experts, their managers and HR representatives

The transformation of trust in China's alternative food networks: disruption, reconstruction, and development

Directory of Open Access Journals (Sweden)

Raymond Yu. Wang

2015-06-01

Full Text Available Food safety issues in China have received much scholarly attention, yet few studies systematically examined this matter through the lens of trust. More importantly, little is known about the transformation of different types of trust in the dynamic process of food production, provision, and consumption. We consider trust as an evolving interdependent relationship between different actors. We used the Beijing County Fair, a prominent ecological farmers' market in China, as an example to examine the transformation of trust in China's alternative food networks. We argue that although there has been a disruption of institutional trust among the general public since 2008 when the melamine-tainted milk scandal broke out, reconstruction of individual trust and development of organizational trust have been observed, along with the emergence and increasing popularity of alternative food networks. Based on more than six months of fieldwork on the emerging ecological agriculture sector in 13 provinces across China as well as monitoring of online discussions and posts, we analyze how various social factors - including but not limited to direct and indirect reciprocity, information, endogenous institutions, and altruism - have simultaneously contributed to the transformation of trust in China's alternative food networks. The findings not only complement current social theories of trust, but also highlight an important yet understudied phenomenon whereby informal social mechanisms have been partially substituting for formal institutions and gradually have been building trust against the backdrop of the food safety crisis in China.

The paradox of scientific expertise

DEFF Research Database (Denmark)

Alrøe, Hugo Fjelsted; Noe, Egon

2011-01-01

Modern societies depend on a growing production of scientific knowledge, which is based on the functional differentiation of science into still more specialised scientific disciplines and subdisciplines. This is the basis for the paradox of scientific expertise: The growth of science leads to a f...... cross-disciplinary research and in the collective use of different kinds of scientific expertise, and thereby make society better able to solve complex, real-world problems.......Modern societies depend on a growing production of scientific knowledge, which is based on the functional differentiation of science into still more specialised scientific disciplines and subdisciplines. This is the basis for the paradox of scientific expertise: The growth of science leads...... to a fragmentation of scientific expertise. To resolve this paradox, the present paper investigates three hypotheses: 1) All scientific knowledge is perspectival. 2) The perspectival structure of science leads to specific forms of knowledge asymmetries. 3) Such perspectival knowledge asymmetries must be handled...

Feasibility of a clearing house for improved cooperation between telemedicine networks delivering humanitarian services: acceptability to network coordinators

Directory of Open Access Journals (Sweden)

Richard Wootton

2012-10-01

Full Text Available Background: Telemedicine networks, which deliver humanitarian services, sometimes need to share expertise to find particular experts in other networks. It has been suggested that a mechanism for sharing expertise between networks (a ‘clearing house’ might be useful. Objective: To propose a mechanism for implementing the clearing house concept for sharing expertise, and to confirm its feasibility in terms of acceptability to the relevant networks. Design: We conducted a needs analysis among eight telemedicine networks delivering humanitarian services. A small proportion of consultations (5–10% suggested that networks may experience difficulties in finding the right specialists from within their own resources. With the assistance of key stakeholders, many of whom were network coordinators, various methods of implementing a clearing house were considered. One simple solution is to establish a central database holding information about consultants who have agreed to provide help to other networks; this database could be made available to network coordinators who need a specialist when none was available in their own network. Results: The proposed solution was examined in a desktop simulation exercise, which confirmed its feasibility and probable value. Conclusions: This analysis informs full-scale implementation of a clearing house, and an associated examination of its costs and benefits.

Expertise and Intuitions about Reference

Directory of Open Access Journals (Sweden)

Edouard Machery

2012-01-01

Full Text Available Many philosophers hold that experts’ semantic intuitions are more reliable and provide better evidence than lay people’s intuitions—a thesis commonly called “the Expertise Defense.” Focusing on the intuitions about the reference of proper names, this article critically assesses the Expertise Defense.

Digital gaming expertise

DEFF Research Database (Denmark)

Toft-Nielsen, Claus

In a digitally saturated environment digital media users of all kinds, engaged in different areas of activity, are increasingly categorized in terms of their ability to appropriate and use digital media – they are regarded as non-users, experts, natives, or literates for instance. Within communic......In a digitally saturated environment digital media users of all kinds, engaged in different areas of activity, are increasingly categorized in terms of their ability to appropriate and use digital media – they are regarded as non-users, experts, natives, or literates for instance. Within...... communication and game studies there are multiple understandings of how digital expertise is expressed and performed, and subsequently how these expressions and performances can be valued, understood and theorized within the research community. Among other things expertise with and within digital games has......-of-game (Schrøder, 2003) in a three-year-long study of men and women (couples and singles) playing the largest Massively Multiplayer Online Role-Playing Game to date, World of Warcraft. In focusing on how different aspects of gaming expertise are articulated, negotiated, and performed, I aim to illustrate how...

Radiofrequency and health. Expertise update. Opinion of the ANSES. Collective expertise report

International Nuclear Information System (INIS)

Cardis, Elisabeth; Dore, Jean-Francois; Marc-Vergnes, Jean-Pierre; Agnani, Jean-Benoit; Bruguiere, Pierre; Crouzier, David; Debaz, Josquin; Debuire, Brigitte; Deltour, Isabelle; LE Drean, Yves; Ledoigt, Gerard; Letertre, Thierry; Marchand, Dorothee; Massardier-Pilonchery, Amelie; Nadi, Mustapha; Pereira De Vasconcelos, Anne; Hours, Martine; Fite, Johanna; Merckel, Olivier; Roth, Olivia; Vergriette, Benoit; Saddoki, Sophia

2013-10-01

In a context of development of new technologies of wireless communications, and therefore of radio-electric signals used to transmit information, this voluminous document reports a detailed study on the effects of radiofrequency on health. It is notably based on a large literature survey and on an assessment of the level of proof of these effects by experts (proved, possible, probable, insufficiently proved, or no effect on mankind). These effects can be either biological or on health. The report presents the context, scope and modalities of the expertise study, presents the main artificial and natural sources of radiofrequency radiation, gives a detailed presentation of new exposure sources (new signals, new radio-electric networks and their applications like mobile phones, pads, mobile television, local wireless networks, RFID, so on). It describes metrology and dose measurement techniques for electromagnetic fields (exposure characterization in laboratory, characterization of the electromagnetic environment, individual exposure measurement devices, digital dosimetry). It addresses the efficiency of anti-wave devices. The next part presents the literature survey (method, analysis, results). The authors then report an assessment of the risk level related to radio-frequencies for the central nervous system (neurotoxicity mechanisms, cognitive functions, memory and behaviour, sleep and circadian rhythms, hearing functions, neurological and neuro-degenerative diseases), and an assessment of the risk level of radio-frequencies for other non-carcinogenic effects (possible mechanisms, reproduction, immunology, endocrine system, and so on). They discuss the researches on potential carcinogenic mechanisms. They give an overview of the evolutions of regulations and management measures in France, and propose a set of recommendations

Two-Stream Transformer Networks for Video-based Face Alignment.

Science.gov (United States)

Liu, Hao; Lu, Jiwen; Feng, Jianjiang; Zhou, Jie

2017-08-01

In this paper, we propose a two-stream transformer networks (TSTN) approach for video-based face alignment. Unlike conventional image-based face alignment approaches which cannot explicitly model the temporal dependency in videos and motivated by the fact that consistent movements of facial landmarks usually occur across consecutive frames, our TSTN aims to capture the complementary information of both the spatial appearance on still frames and the temporal consistency information across frames. To achieve this, we develop a two-stream architecture, which decomposes the video-based face alignment into spatial and temporal streams accordingly. Specifically, the spatial stream aims to transform the facial image to the landmark positions by preserving the holistic facial shape structure. Accordingly, the temporal stream encodes the video input as active appearance codes, where the temporal consistency information across frames is captured to help shape refinements. Experimental results on the benchmarking video-based face alignment datasets show very competitive performance of our method in comparisons to the state-of-the-arts.

Musical Expertise Increases Top–Down Modulation Over Hippocampal Activation during Familiarity Decisions

Directory of Open Access Journals (Sweden)

Pierre Gagnepain

2017-09-01

Full Text Available The hippocampus has classically been associated with episodic memory, but is sometimes also recruited during semantic memory tasks, especially for the skilled exploration of familiar information. Cognitive control mechanisms guiding semantic memory search may benefit from the set of cognitive processes at stake during musical training. Here, we examined using functional magnetic resonance imaging, whether musical expertise would promote the top–down control of the left inferior frontal gyrus (LIFG over the generation of hippocampally based goal-directed thoughts mediating the familiarity judgment of proverbs and musical items. Analyses of behavioral data confirmed that musical experts more efficiently access familiar melodies than non-musicians although such increased ability did not transfer to verbal semantic memory. At the brain level, musical expertise specifically enhanced the recruitment of the hippocampus during semantic access to melodies, but not proverbs. Additionally, hippocampal activation contributed to speed of access to familiar melodies, but only in musicians. Critically, causal modeling of neural dynamics between LIFG and the hippocampus further showed that top–down excitatory regulation over the hippocampus during familiarity decision specifically increases with musical expertise – an effect that generalized across melodies and proverbs. At the local level, our data show that musical expertise modulates the online recruitment of hippocampal response to serve semantic memory retrieval of familiar melodies. The reconfiguration of memory network dynamics following musical training could constitute a promising framework to understand its ability to preserve brain functions.

Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network.

Science.gov (United States)

Ceylan, Murat; Ceylan, Rahime; Ozbay, Yüksel; Kara, Sadik

2008-09-01

In biomedical signal classification, due to the huge amount of data, to compress the biomedical waveform data is vital. This paper presents two different structures formed using feature extraction algorithms to decrease size of feature set in training and test data. The proposed structures, named as wavelet transform-complex-valued artificial neural network (WT-CVANN) and complex wavelet transform-complex-valued artificial neural network (CWT-CVANN), use real and complex discrete wavelet transform for feature extraction. The aim of using wavelet transform is to compress data and to reduce training time of network without decreasing accuracy rate. In this study, the presented structures were applied to the problem of classification in carotid arterial Doppler ultrasound signals. Carotid arterial Doppler ultrasound signals were acquired from left carotid arteries of 38 patients and 40 healthy volunteers. The patient group included 22 males and 16 females with an established diagnosis of the early phase of atherosclerosis through coronary or aortofemoropopliteal (lower extremity) angiographies (mean age, 59 years; range, 48-72 years). Healthy volunteers were young non-smokers who seem to not bear any risk of atherosclerosis, including 28 males and 12 females (mean age, 23 years; range, 19-27 years). Sensitivity, specificity and average detection rate were calculated for comparison, after training and test phases of all structures finished. These parameters have demonstrated that training times of CVANN and real-valued artificial neural network (RVANN) were reduced using feature extraction algorithms without decreasing accuracy rate in accordance to our aim.

Science, expertise, and democracy.

Science.gov (United States)

Weinberg, Justin; Elliott, Kevin C

2012-06-01

The combination of government's significant involvement in science, science's significant effects on the public, and public ignorance (of both politics and science) raise important challenges for reconciling scientific expertise with democratic governance. Nevertheless, there have recently been a variety of encouraging efforts to make scientific activity more responsive to social values and to develop citizens' capacity to engage in more effective democratic governance of science. This essay introduces a special issue of the Kennedy Institute of Ethics Journal, "Science, Expertise, and Democracy," consisting of five papers that developed from the inaugural Three Rivers Philosophy conference held at the University of South Carolina in April 2011. The pieces range from a general analysis of the in-principle compatibility of scientific expertise and democracy to much more concrete studies of the intersection between scientific practices and democratic values in areas such as weight-of-evidence analysis, climate science, and studies of locally undesirable land uses.

Transform a Simple Sketch to a Chinese Painting by a Multiscale Deep Neural Network

Directory of Open Access Journals (Sweden)

Daoyu Lin

2018-01-01

Full Text Available Recently, inspired by the power of deep learning, convolution neural networks can produce fantastic images at the pixel level. However, a significant limiting factor for previous approaches is that they focus on some simple datasets such as faces and bedrooms. In this paper, we propose a multiscale deep neural network to transform sketches into Chinese paintings. To synthesize more realistic imagery, we train the generative network by using both L1 loss and adversarial loss. Additionally, users can control the process of the synthesis since the generative network is feed-forward. This network can also be treated as neural style transfer by adding an edge detector. Furthermore, additional experiments on image colorization and image super-resolution demonstrate the universality of our proposed approach.

Teacher expertise

DEFF Research Database (Denmark)

Rasmussen, Jens

Teacher Expertise: How to improve the relationship between Theory and Practice in Teacher Education Jens Rasmussen, Department of Education, Aarhus University In several studies and reports it has been nailed over and over that teachers’ matter. So this is not the question in this study. The ques......Teacher Expertise: How to improve the relationship between Theory and Practice in Teacher Education Jens Rasmussen, Department of Education, Aarhus University In several studies and reports it has been nailed over and over that teachers’ matter. So this is not the question in this study....... The question is how teacher preparation leads to effective teachers. The study Expert in Teaching paid special attention to the intention of connecting coursework more directly to practice in pre-service teacher education. The overall objective of the study was to strengthen the relationship between theory...... that the three parties (college teachers, practice teachers and teacher students) found it difficult to perform and maintain their different roles....

Beyond Faces and Expertise: Facelike Holistic Processing of Nonface Objects in the Absence of Expertise.

Science.gov (United States)

Zhao, Mintao; Bülthoff, Heinrich H; Bülthoff, Isabelle

2016-02-01

Holistic processing-the tendency to perceive objects as indecomposable wholes-has long been viewed as a process specific to faces or objects of expertise. Although current theories differ in what causes holistic processing, they share a fundamental constraint for its generalization: Nonface objects cannot elicit facelike holistic processing in the absence of expertise. Contrary to this prevailing view, here we show that line patterns with salient Gestalt information (i.e., connectedness, closure, and continuity between parts) can be processed as holistically as faces without any training. Moreover, weakening the saliency of Gestalt information in these patterns reduced holistic processing of them, which indicates that Gestalt information plays a crucial role in holistic processing. Therefore, holistic processing can be achieved not only via a top-down route based on expertise, but also via a bottom-up route relying merely on object-based information. The finding that facelike holistic processing can extend beyond the domains of faces and objects of expertise poses a challenge to current dominant theories. © The Author(s) 2015.

Professional Expertise in Magic – Reflecting on professional expertise in magic:An interview study

Directory of Open Access Journals (Sweden)

Olli eRissanen

2014-12-01

Full Text Available The purpose of the present investigation was to analyse interviews of highly regarded Finnish magicians. Social network analysis (N=120 was used to identify Finland’s most highly regarded magicians (N=16. The selected participants’ careers in professional magic and various aspects of their professional conduct were examined by relying on semi-structured interviews. The results revealed that cultivation of professional level competence in magic usually requires an extensive period of time compared with other domains of expertise. Magic is a unique performing art and it differs from other professions focusing on deceiving the audience. A distinctive feature of magical expertise is that the process takes place entirely through informal training supported by communities of magical practitioners. Three interrelated aspects of magical activity were distinguished: magic tricks, performance, and audience. Although magic tricks constitute a central aspect of magic activity, the participants did not talk about their tricks extensively; this is in accordance with the secretive nature of magic culture.The interviews revealed that a core aspect of the magicians’ activity is performance in front of an audience that repeatedly validates competence cultivated through years of practice. The interviewees reported investing a great deal of effort in planning, orchestrating, and reflecting on their performances. Close interaction with the audience plays an important role in most interviewees’ activity. Many participants put a great deal of effort in developing novel magic tricks. It is common to borrow magic effects from fellow magicians and develop novel methods of implementation. Because magic tricks or programs are not copyrighted, many interviewees considered stealing an unacceptable and unethical aspect of magical activity. The interviewees highlighted the importance of personality and charisma in the successful pursuit of magic activity.

Public scientific expertise and judicial risks: the case of radon

International Nuclear Information System (INIS)

Massuelle, M.H.

2000-01-01

In France, radon has emerged as a public health issue mainly at the initiative of scientists. Even if public authorities have set up an embryo of regulations, for a long time scientists faced the radon issue alone, in producing knowledge, informing about their results, providing advice to public authorities, various bodies and individuals, and in participating in the process of technical standardisation. These functions are identified in the paper in order to sketch out a typology of different situations, formal and informal, in which researchers transformed into experts are called to collaborate. During their missions, experts are exposed to 'judicial risks', particularly in terms of civil liability or 'professional' responsibility and even criminal responsibility. They face legal difficulties because of the lack of a legal framework for public scientific expertise. The situation is confused: there is a growing will to involve scientific experts in decision-making in the field of public health, especially when the precautionary principle is at stake, and in parallel, no real materialisation of this expertise in terms of regulations, which puts on experts' shoulders some new responsibilities. Moreover we can observe a generalised increase in the attribution of blame and penal responsibility in French society which make the position of all actors involved more uncomfortable. We know that radon, as a domestic risk, is particular in many ways. Nevertheless, it can be used in an analysis of scientists' roles/actions and of the legal difficulties they face, to illustrate appropriately the problems that arise as expertise is developed about new risks. (author)

Powering Ideas through Expertise

DEFF Research Database (Denmark)

Seabrooke, Leonard; Wigan, Duncan

2016-01-01

policy. Corporate reporting for tax purposes is an area where the European Union, Organization for Economic Co-operation and Development, the United Nations, large global accountancy firms and non-governmental organizations have been active. The point of contention here is what form of financial...... reporting multinational corporations should provide to ensure they pay their fair share of tax. Ideas powered by expertise contain shared causal beliefs, as well as principled beliefs about value systems. We demonstrate that professionals can contest the established order when demonstrations of expertise...

Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks.

Science.gov (United States)

Gardner, Brian; Sporea, Ioana; Grüning, André

2015-12-01

Information encoding in the nervous system is supported through the precise spike timings of neurons; however, an understanding of the underlying processes by which such representations are formed in the first place remains an open question. Here we examine how multilayered networks of spiking neurons can learn to encode for input patterns using a fully temporal coding scheme. To this end, we introduce a new supervised learning rule, MultilayerSpiker, that can train spiking networks containing hidden layer neurons to perform transformations between spatiotemporal input and output spike patterns. The performance of the proposed learning rule is demonstrated in terms of the number of pattern mappings it can learn, the complexity of network structures it can be used on, and its classification accuracy when using multispike-based encodings. In particular, the learning rule displays robustness against input noise and can generalize well on an example data set. Our approach contributes to both a systematic understanding of how computations might take place in the nervous system and a learning rule that displays strong technical capability.

Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System

Directory of Open Access Journals (Sweden)

Y. D. Song

2013-01-01

Full Text Available This paper deals with an energy management of a hybrid power generation system. The proposed control strategy for the energy management is based on the combination of wavelet transform and neural network arithmetic. The hybrid system in this paper consists of an emulated wind turbine generator, PV panels, DC and AC loads, lithium ion battery, and super capacitor, which are all connected on a DC bus with unified DC voltage. The control strategy is responsible for compensating the difference between the generated power from the wind and solar generators and the demanded power by the loads. Wavelet transform decomposes the power difference into smoothed component and fast fluctuated component. In consideration of battery protection, the neural network is introduced to calculate the reference power of battery. Super capacitor (SC is controlled to regulate the DC bus voltage. The model of the hybrid system is developed in detail under Matlab/Simulink software environment.

The committee of scientific expertise coordination

International Nuclear Information System (INIS)

2003-01-01

Placed under the MIES control, the Committee of scientific expertise coordination defines the needs, the contain and the planing of expertises realized in function of Climate national and international decisions and negotiations calendars. The Committee verifies the different expertises and offers the administrations, scientific tools and techniques useful for the negotiations. It can also define long-dated research needs which require the scientific community mobilization. This paper provides some document of the Committee: objectives, operating and priorities of the Committee, scenarios ''Factor 4'' and ''crack technology'', perceptions and practices, developing countries (China, India...), Euromed. (A.L.B.)

Development of professional expertise in optometry.

Science.gov (United States)

Faucher, Caroline

2011-04-01

Development of professional expertise is the gradual transition from novice to expert within a profession. Studies on expertise in the profession of optometry have never been published. However, many studies have been performed in other health professions (e.g., nursing, medicine, physical therapy, occupational therapy). This report is an overview of the development of professional expertise that will highlight some applications for optometry. A 5-level scale of professional expertise development, divided into 2 parts, is described. The first part is the progression of students during their professional studies (novice, intermediate, competent). The second part is the professional development occurring during the practice years (advanced, expert). Personal and collective efforts are required to foster the progression toward expertise. Great interest for the profession, motivation, and deliberate practice are individual attitudes that help this progression. The "optometric community of practice," by means of university (professional) training, continuing education, and collaboration between colleagues, also contributes to this process. Professional development is an integral part of the Optometric Oath. Each clinical case is a potential learning experience contributing to one's professional development. Optometrists' attitudes are predominant factors in the progression from one level to another. Copyright © 2011 American Optometric Association. Published by Elsevier Inc. All rights reserved.

Developing civil society expertise to promote democratic ...

International Development Research Centre (IDRC) Digital Library (Canada)

It will also build civil society partnership networks and capacity for effective engagement with principal stakeholders in defence affairs, helping to transform attitudes and ... IDRC is supporting research that studies the most effective ways to empower women, prevent gender-based violence, and make digital platforms work for ...

Emergent Expertise?

Science.gov (United States)

McGivern, Patrick

2014-01-01

The concept of emergence appears in various places within the literature on expertise and expert practice. Here, I examine some of these applications of emergence in the light of two prominent accounts of emergence from the philosophy of science and philosophy of mind. I evaluate these accounts with respect to several specific contexts in which…

[Traumatic brain injuries--forensic and expertise aspects].

Science.gov (United States)

Vuleković, Petar; Simić, Milan; Misić-Pavkov, Gordana; Cigić, Tomislav; Kojadinović, Zeljko; Dilvesi, Dula

2008-01-01

Traumatic brain injuries have major socio-economic importance due to their frequency, high mortality and serious consequences. According to their nature the consequences of these injuries may be classified as neurological, psychiatric and esthetic. Various lesions of brain structures cause neurological consequences such as disturbance of motor functions, sensibility, coordination or involuntary movements, speech disturbances and other deviations, as well as epilepsy. Psychiatric consequences include cognitive deficit, emotional disturbances and behavior disturbances. CRIMINAL-LEGAL ASPECT OF TRAUMATIC BRAIN INJURIES AND LITIGATION: Criminal-legal aspect of traumatic brain injuries expertise understands the qualification of these injuries as mild, serious and qualified serious body injuries as well as the expertise about the mechanisms of their occurrence. Litigation expertise includes the estimation of pain, fear, diminished, i.e. lost vital activity and disability, esthetic marring, and psychological suffer based on the diminished general vital activity and esthetic marring. Evaluation of consequences of traumatic brain injuries should be performed only when it can be positively confirmed that they are permanent, i.e. at least one year after the injury. Expertise of these injuries is interdisciplinary. Among clinical doctors the most competent medical expert is the one who is in charge for diagnostics and injury treatment, with the recommendation to avoid, if possible, the doctor who conducted treatment. For the estimation of general vital activity, the neurological consequences, pain and esthetic marring expertise, the most competent doctors are neurosurgeon and neurologist. Psychological psychiatric consequences and fear expertise have to be performed by the psychiatrist. Specialists of forensic medicine contribute with knowledge of criminal low and legal expertise.

Collaborative Chronic Care Networks (C3Ns) to transform chronic illness care.

Science.gov (United States)

Margolis, Peter A; Peterson, Laura E; Seid, Michael

2013-06-01

Despite significant gains by pediatric collaborative improvement networks, the overall US system of chronic illness care does not work well. A new paradigm is needed: a Collaborative Chronic Care Network (C3N). A C3N is a network-based production system that harnesses the collective intelligence of patients, clinicians, and researchers and distributes the production of knowledge, information, and know-how over large groups of people, dramatically accelerating the discovery process. A C3N is a platform of "operating systems" on which interconnected processes and interventions are designed, tested, and implemented. The social operating system is facilitated by community building, engaging all stakeholders and their expertise, and providing multiple ways to participate. Standard progress measures and a robust information technology infrastructure enable the technical operating system to reduce unwanted variation and adopt advances more rapidly. A structured approach to innovation design provides a scientific operating system or "laboratory" for what works and how to make it work. Data support testing and research on multiple levels: comparative effectiveness research for populations, evaluating care delivery processes at the care center level, and N-of-1 trials and other methods to select the best treatment of individual patient circumstances. Methods to reduce transactional costs to participate include a Federated IRB Model in which centers rely on a protocol approved at 1 central institutional review board and a "commons framework" for organizational copyright and intellectual property concerns. A fully realized C3N represents a discontinuous leap to a self-developing learning health system capable of producing a qualitatively different approach to improving health.

Detangling Value: A study into the benefits of using in-house CSR expertise compared with the benefits of using CSR consultancy expertise

OpenAIRE

MacCarthy, Jennifer

2007-01-01

Abstract The topic of Corporate Social Responsibility (CSR) is an area with an increasing breadth of literature. However, literature regarding how CSR expertise is sourced for developing CSR projects and programmes within companies is distinctly weak. This study takes, arguably, the two most predominant forms of CSR expertise, in-house CSR expertise and CSR consultancies, and investigates what value these different types of expertise offer in sourcing for CSR activities. Bey...

COORDINATE TRANSFORMATION USING FEATHERSTONE AND VANÍČEK PROPOSED APPROACH - A CASE STUDY OF GHANA GEODETIC REFERENCE NETWORK

Directory of Open Access Journals (Sweden)

Yao Yevenyo Ziggah

2017-03-01

Full Text Available Most developing countries like Ghana are yet to adopt the geocentric datum for its surveying and mapping purposes. It is well known and documented that non-geocentric datums based on its establishment have more distortions in height compared with satellite datums. Most authors have argued that combining such height with horizontal positions (latitude and longitude in the transformation process could introduce unwanted distortions to the network. This is because the local geodetic height in most cases is assumed to be determined to a lower accuracy compared with the horizontal positions. In the light of this, a transformation model was proposed by Featherstone and Vaníček (1999 which avoids the use of height in both global and local datums in coordinate transformation. It was confirmed that adopting such a method reduces the effect of distortions caused by geodetic height on the transformation parameters estimated. Therefore, this paper applied Featherstone and Vaníček (FV model for the first time to a set of common points coordinates in Ghana geodetic reference network. The FV model was used to transform coordinates from global datum (WGS84 to local datum (Accra datum. The results obtained based on the Root Mean Square Error (RMSE and Mean Absolute Error (MAE in both Eastings and Northings were satisfactory. Thus, a RMSE value of 0.66 m and 0.96 m were obtained for the Eastings and Northings while 0.76 m and 0.73 m were the MAE values achieved. Also, the FV model attained a transformation accuracy of 0.49 m. Hence, this study will serve as a preliminary investigation in avoiding the use of height in coordinate transformation within Ghana’s geodetic reference network.

A compact bipolar pulse-forming network-Marx generator based on pulse transformers.

Science.gov (United States)

Zhang, Huibo; Yang, Jianhua; Lin, Jiajin; Yang, Xiao

2013-11-01

A compact bipolar pulse-forming network (PFN)-Marx generator based on pulse transformers is presented in this paper. The high-voltage generator consisted of two sets of pulse transformers, 6 stages of PFNs with ceramic capacitors, a switch unit, and a matched load. The design is characterized by the bipolar pulse charging scheme and the compact structure of the PFN-Marx. The scheme of bipolar charging by pulse transformers increased the withstand voltage of the ceramic capacitors in the PFNs and decreased the number of the gas gap switches. The compact structure of the PFN-Marx was aimed at reducing the parasitic inductance in the generator. When the charging voltage on the PFNs was 35 kV, the matched resistive load of 48 Ω could deliver a high-voltage pulse with an amplitude of 100 kV. The full width at half maximum of the load pulse was 173 ns, and its rise time was less than 15 ns.

Designing Education for Professional Expertise Development

Science.gov (United States)

Elvira, Quincy; Imants, Jeroen; Dankbaar, Ben; Segers, Mien

2017-01-01

How to facilitate learning by novices (students) on their road to expertise has attracted the attention of a vast number of researchers in cognitive and educational psychology as well in the field of learning and instruction. Although many studies have investigated the phenomenon of expertise development, the implications of the findings for…

Expertise in physiological breech birth: A mixed-methods study.

Science.gov (United States)

Walker, Shawn; Parker, Pam; Scamell, Mandie

2018-06-01

The safety of vaginal breech birth depends on the expertise of birth attendants, yet the meaning of "expertise" remains unclear and subjectively defined. The objective of this study was to define expertise and the roles experts may play in expanding access to this service. We performed an integrative analysis of two strands of data concerning expertise in physiological breech birth, including the following: survey data from a Delphi study involving 26 very experienced clinicians (mean experience = 135 breech births) and 2 service user representatives, and interviews from a grounded theory study of 14 clinicians more moderately experienced with physiological methods (5-30 upright breech births). Data were pooled and analyzed using constant comparative methods. Expertise is defined by its ongoing function, the generation of comparatively good outcomes, and confidence and competence among colleagues. Although clinical experience is important, expertise is developed and expressed in social clinical roles, which expand as experience grows: clinician, mentor, specialist, and expert. To develop expertise within a service, clinicians who have an interest in breech birth should be supported to perform these roles within specialist teams. Specialist breech teams may facilitate the development of expertise within maternity care settings. Evaluation of expertise based on enablement of women and colleagues, as well as outcomes, will potentially avoid the pitfalls of alienation produced by some forms of specialist authority. © 2017 Wiley Periodicals, Inc.

The Neural Circuitry of Expertise: Perceptual Learning and Social Cognition

Directory of Open Access Journals (Sweden)

Michael eHarre

2013-12-01

Full Text Available Amongst the most significant questions we are confronted with today include the integration of the brain's micro-circuitry, our ability to build the complex social networks that underpin society and how our society impacts on our ecological environment. In trying to unravel these issues one place to begin is at the level of the individual: to consider how we accumulate information about our environment, how this information leads to decisions and how our individual decisions in turn create our social environment. While this is an enormous task, we may already have at hand many of the tools we need. This article is intended to review some of the recent results in neuro-cognitive research and show how they can be extended to two very specific types of expertise: perceptual expertise and social cognition. These two cognitive skills span a vast range of our genetic heritage. Perceptual expertise developed very early in our evolutionary history and is likely a highly developed part of all mammals' cognitive ability. On the other hand social cognition is most highly developed in humans in that we are able to maintain larger and more stable long term social connections with more behaviourally diverse individuals than any other species. To illustrate these ideas I will discuss board games as a toy model of social interactions as they include many of the relevant concepts: perceptual learning, decision-making, long term planning and understanding the mental states of other people. Using techniques that have been developed in mathematical psychology, I show that we can represent some of the key features of expertise using stochastic differential equations. Such models demonstrate how an expert's long exposure to a particular context influences the information they accumulate in order to make a decision.These processes are not confined to board games, we are all experts in our daily lives through long exposure to the many regularities of daily tasks and

Power Transformer Differential Protection Based on Neural Network Principal Component Analysis, Harmonic Restraint and Park's Plots

OpenAIRE

Tripathy, Manoj

2012-01-01

This paper describes a new approach for power transformer differential protection which is based on the wave-shape recognition technique. An algorithm based on neural network principal component analysis (NNPCA) with back-propagation learning is proposed for digital differential protection of power transformer. The principal component analysis is used to preprocess the data from power system in order to eliminate redundant information and enhance hidden pattern of differential current to disc...

Powering Ideas through Expertise

DEFF Research Database (Denmark)

Seabrooke, Leonard; Wigan, Duncan

2016-01-01

This contribution discusses how ideas are powered through expertise and moral authority. Professionals compete with each other to power ideas by linking claims to expertise, how things best work, to moral claims about how things should be. To show how, we draw on a case of battles over global tax...... policy. Corporate reporting for tax purposes is an area where the European Union, Organization for Economic Co-operation and Development, the United Nations, large global accountancy firms and non-governmental organizations have been active. The point of contention here is what form of financial...... can be fused with claims to moral authority. Such a constellation is more likely when political conditions are favourable....

The Development of Sport Expertise: From Leeds to MVP Legend.

Science.gov (United States)

Thomas, Katherine Thomas

1994-01-01

Contributions of motor skill and cognition to sport performance change across age, expertise, and sports. Knowledge and decision making should not limit the development of expertise. Specific strategies for teachers may help students develop expertise. The paper discusses the contribution of knowledge and skill to expertise and its development.…

Preserving skills and expertise for nuclear safety

International Nuclear Information System (INIS)

Storey, P.

2002-01-01

Full text: For many decades to come the international nuclear sector will require a wide range of highly trained, experienced and competent personnel. However, with the decline in the availability of nuclear expertise which is being felt in many countries, maintaining safety competence for both the industry and the regulator becomes a difficult challenge. Assessing the extent of the decline now and predicting what is the likely need for expertise in the future is an important task for all countries. Assessment should take account of likely scenarios for change in the nuclear industry and should aim to identify areas of expertise most likely to be at risk. International Agencies are playing a key role in raising awareness about regulatory concern and are starting to coordinate response and exchange good practice. Regulatory responsibility for preserving skills and expertise and International Agency leadership are essential for a successful outcome to the issue. (author)

Using Highlighting to Train Attentional Expertise.

Science.gov (United States)

Roads, Brett; Mozer, Michael C; Busey, Thomas A

2016-01-01

Acquiring expertise in complex visual tasks is time consuming. To facilitate the efficient training of novices on where to look in these tasks, we propose an attentional highlighting paradigm. Highlighting involves dynamically modulating the saliency of a visual image to guide attention along the fixation path of a domain expert who had previously viewed the same image. In Experiment 1, we trained naive subjects via attentional highlighting on a fingerprint-matching task. Before and after training, we asked subjects to freely inspect images containing pairs of prints and determine whether the prints matched. Fixation sequences were automatically scored for the degree of expertise exhibited using a Bayesian discriminative model of novice and expert gaze behavior. Highlighted training causes gaze behavior to become more expert-like not only on the trained images but also on transfer images, indicating generalization of learning. In Experiment 2, to control for the possibility that the increase in expertise is due to mere exposure, we trained subjects via highlighting of fixation sequences from novices, not experts, and observed no transition toward expertise. In Experiment 3, to determine the specificity of the training effect, we trained subjects with expert fixation sequences from images other than the one being viewed, which preserves coarse-scale statistics of expert gaze but provides no information about fine-grain features. Observing at least a partial transition toward expertise, we obtain only weak evidence that the highlighting procedure facilitates the learning of critical local features. We discuss possible improvements to the highlighting procedure.

Using Highlighting to Train Attentional Expertise.

Directory of Open Access Journals (Sweden)

Brett Roads

Full Text Available Acquiring expertise in complex visual tasks is time consuming. To facilitate the efficient training of novices on where to look in these tasks, we propose an attentional highlighting paradigm. Highlighting involves dynamically modulating the saliency of a visual image to guide attention along the fixation path of a domain expert who had previously viewed the same image. In Experiment 1, we trained naive subjects via attentional highlighting on a fingerprint-matching task. Before and after training, we asked subjects to freely inspect images containing pairs of prints and determine whether the prints matched. Fixation sequences were automatically scored for the degree of expertise exhibited using a Bayesian discriminative model of novice and expert gaze behavior. Highlighted training causes gaze behavior to become more expert-like not only on the trained images but also on transfer images, indicating generalization of learning. In Experiment 2, to control for the possibility that the increase in expertise is due to mere exposure, we trained subjects via highlighting of fixation sequences from novices, not experts, and observed no transition toward expertise. In Experiment 3, to determine the specificity of the training effect, we trained subjects with expert fixation sequences from images other than the one being viewed, which preserves coarse-scale statistics of expert gaze but provides no information about fine-grain features. Observing at least a partial transition toward expertise, we obtain only weak evidence that the highlighting procedure facilitates the learning of critical local features. We discuss possible improvements to the highlighting procedure.

Effects of expertise on football betting.

Science.gov (United States)

Khazaal, Yasser; Chatton, Anne; Billieux, Joël; Bizzini, Lucio; Monney, Grégoire; Fresard, Emmanuelle; Thorens, Gabriel; Bondolfi, Guido; El-Guebaly, Nady; Zullino, Daniele; Khan, Riaz

2012-05-11

Football (soccer) is one of the most popular sports in the world, including Europe. It is associated with important betting activities. A common belief, widely spread among those who participate in gambling activities, is that knowledge and expertise on football lead to better prediction skills for match outcomes. If unfounded, however, this belief should be considered as a form of "illusion of control." The aim of this study was to examine whether football experts are better than nonexperts at predicting football match scores. Two hundred and fifty-eight persons took part in the study: 21.3% as football experts, 54.3% as laypersons (non-initiated to football), and 24.4% as football amateurs. They predicted the scores of the first 10 matches of the 2008 UEFA European Football Championship. Logistic regressions were carried out to assess the link between the accuracy of the forecasted scores and the expertise of the participants (expert, amateur, layperson), controlling for age and gender. The variables assessed did not predict the accuracy of scoring prognosis (R2 ranged from 1% to 6%). Expertise, age, and gender did not appear to have an impact on the accuracy of the football match prognoses. Therefore, the belief that football expertise improves betting skills is no more than a cognitive distortion called the "illusion of control." Gamblers may benefit from psychological interventions that target the illusion of control related to their believed links between betting skills and football expertise. Public health policies may need to consider the phenomenon in order to prevent problem gambling related to football betting.

Building Service Delivery Networks: Partnership Evolution Among Children's Behavioral Health Agencies in Response to New Funding.

Science.gov (United States)

Bunger, Alicia C; Doogan, Nathan J; Cao, Yiwen

2014-12-01

Meeting the complex needs of youth with behavioral health problems requires a coordinated network of community-based agencies. Although fiscal scarcity or retrenchment can limit coordinated services, munificence can stimulate service delivery partnerships as agencies expand programs, hire staff, and spend more time coordinating services. This study examines the 2-year evolution of referral and staff expertise sharing networks in response to substantial new funding for services within a regional network of children's mental health organizations. Quantitative network survey data were collected from directors of 22 nonprofit organizations that receive funding from a county government-based behavioral health service fund. Both referral and staff expertise sharing networks changed over time, but results of a stochastic actor-oriented model of network dynamics suggest the nature of this change varies for these networks. Agencies with higher numbers of referral and staff expertise sharing partners tend to maintain these ties and/or develop new relationships over the 2 years. Agencies tend to refer to agencies they trust, but trust was not associated with staff expertise sharing ties. However, agencies maintain or form staff expertise sharing ties with referral partners, or with organizations that provide similar services. In addition, agencies tend to reciprocate staff expertise sharing, but not referrals. Findings suggest that during periods of resource munificence and service expansion, behavioral health organizations build service delivery partnerships in complex ways that build upon prior collaborative history and coordinate services among similar types of providers. Referral partnerships can pave the way for future information sharing relationships.

Expertise and age-related changes in components of intelligence.

Science.gov (United States)

Masunaga, H; Horn, J

2001-06-01

In a sample of 263 male GO players at 48 levels of expertise and ranging from 18 to 78 years of age, it was found that factors of expertise deductive reasoning (EDR) and expertise working memory (EWM) were independent of factors of fluid reasoning (Gf) and short-term working memory (STWM) that, along with cognitive speed (Gs), have been found to characterize decline of intelligence in adulthood. The main effects of analyses of cross-sectional age differences indicated age-related decline in EDR and EWM as well as in Gf, STWM, and Gs. However, interaction and partialing analyses indicated that decline in EDR and EWM decreased to no decline with increase in level of expertise. The results thus suggest that with increase in factors known to raise the level of expertise--particularly, intensive, well-designed practice--there may be no age-related decline in the intelligence that is measured in the abilities of expertise.

Thoughts on Expertise.

Science.gov (United States)

Glaser, Robert

This paper briefly reviews research on tasks in knowledge-rich domains including developmental studies, work in artificial intelligence, studies of expert/novice problem solving, and information processing analysis of aptitude test tasks that have provided increased understanding of the nature of expertise. Particularly evident is the finding that…

Conflict Resolution and Public Participation Center of Expertise

Data.gov (United States)

Federal Laboratory Consortium — On October 17, 2008, the Conflict Resolution and Public Participation Center (CPCX) was named a Corps Center of Expertise (CX) and Directory of Expertise (DX). The...

Effects of expertise on football betting

Directory of Open Access Journals (Sweden)

Khazaal Yasser

2012-05-01

Full Text Available Abstract Background Football (soccer is one of the most popular sports in the world, including Europe. It is associated with important betting activities. A common belief, widely spread among those who participate in gambling activities, is that knowledge and expertise on football lead to better prediction skills for match outcomes. If unfounded, however, this belief should be considered as a form of “illusion of control.” The aim of this study was to examine whether football experts are better than nonexperts at predicting football match scores. Methods Two hundred and fifty-eight persons took part in the study: 21.3% as football experts, 54.3% as laypersons (non-initiated to football, and 24.4% as football amateurs. They predicted the scores of the first 10 matches of the 2008 UEFA European Football Championship. Logistic regressions were carried out to assess the link between the accuracy of the forecasted scores and the expertise of the participants (expert, amateur, layperson, controlling for age and gender. Results The variables assessed did not predict the accuracy of scoring prognosis (R2 ranged from 1% to 6%. Conclusions Expertise, age, and gender did not appear to have an impact on the accuracy of the football match prognoses. Therefore, the belief that football expertise improves betting skills is no more than a cognitive distortion called the “illusion of control.” Gamblers may benefit from psychological interventions that target the illusion of control related to their believed links between betting skills and football expertise. Public health policies may need to consider the phenomenon in order to prevent problem gambling related to football betting.

Toward a multifactorial model of expertise: beyond born versus made.

Science.gov (United States)

Hambrick, David Z; Burgoyne, Alexander P; Macnamara, Brooke N; Ullén, Fredrik

2018-02-15

The debate over the origins of individual differences in expertise has raged for over a century in psychology. The "nature" view holds that expertise reflects "innate talent"-that is, genetically determined abilities. The "nurture" view counters that, if talent even exists, its effects on ultimate performance are negligible. While no scientist takes seriously a strict nature-only view of expertise, the nurture view has gained tremendous popularity over the past several decades. This environmentalist view holds that individual differences in expertise reflect training history, with no important contribution to ultimate performance by innate ability ("talent"). Here, we argue that, despite its popularity, this view is inadequate to account for the evidence concerning the origins of expertise that has accumulated since the view was first proposed. More generally, we argue that the nature versus nurture debate in research on expertise is over-or certainly should be, as it has been in other areas of psychological research for decades. We describe a multifactorial model for research on the nature and nurture of expertise, which we believe will provide a progressive direction for future research on expertise. © 2018 New York Academy of Sciences.

Expertise finding in bibliographic network: topic dominance learning approach.

Science.gov (United States)

Neshati, Mahmood; Hashemi, Seyyed Hadi; Beigy, Hamid

2014-12-01

Expert finding problem in bibliographic networks has received increased interest in recent years. This problem concerns finding relevant researchers for a given topic. Motivated by the observation that rarely do all coauthors contribute to a paper equally, in this paper, we propose two discriminative methods for realizing leading authors contributing in a scientific publication. Specifically, we cast the problem of expert finding in a bibliographic network to find leading experts in a research group, which is easier to solve. We recognize three feature groups that can discriminate relevant experts from other authors of a document. Experimental results on a real dataset, and a synthetic one that is gathered from a Microsoft academic search engine, show that the proposed model significantly improves the performance of expert finding in terms of all common information retrieval evaluation metrics.

Negotiating knowledges and expertise in refugee resettlement organizations

Directory of Open Access Journals (Sweden)

Sarah Steimel

2016-12-01

Full Text Available Interviews with both refugees and organizational staff in two nonprofit refugee resettlement organizations in the United States reveal the ways in which knowledge(s and expertise are crafted, threatened, and understood in refugee organizations. Refugee-participants described the need for knowledgeable communication, barriers to the communication of knowledge, and processes of negotiating whose expertise is involved. Organizational staff participants described the duty of communicating expert knowledge, the limits of knowledge as expertise, and alternative communications of expertise. These tensions surrounding “knowing” in refugee resettlement organizations highlights the need for a more complex theoretical understanding of the processes of knowing present in refugee resettlement. These tensions also suggest areas in which refugee resettlement agencies and other nonprofit staff can make on-the-ground changes to better facilitate refugee resettlement processes.

Programs and Expertise

CERN Document Server

2001-01-01

Description of programs and expertise implemented by Radiation Protection Centre is presented. RPC implements study assessing the doses received by air crew members of Lithuanian Airlines. In 2001 RPC started measurements of indoor radon concentrations in the houses of regions with karst formations, commenced new program analyzing amounts of radionuclides in typical diet of hospital patients.

A new rejection of moral expertise.

Science.gov (United States)

Cowley, Christopher

2005-01-01

There seem to be two clearly-defined camps in the debate over the problem of moral expertise. On the one hand are the "Professionals", who reject the possibility entirely, usually because of the intractable diversity of ethical beliefs. On the other hand are the "Ethicists", who criticise the Professionals for merely stipulating science as the most appropriate paradigm for discussions of expertise. While the subject matter and methodology of good ethical thinking is certainly different from that of good clinical thinking, they argue, this is no reason for rejecting the possibility of a distinctive kind of expertise in ethics, usually based on the idea of good justification. I want to argue that both are incorrect, partly because of the reasons given by one group against the other, but more importantly because both neglect what is most distinctive about ethics: that it is personal in a very specific way, without collapsing into relativism.

Energy economy: Federal network agency to the request of EnBW Trading for transformation of interruptible network use capacities into firm network use capacities; Energiewirtschaft: Bundesnetzagentur zum Antrag von EnBW Trading auf Umwandlung unterbrechbarer in feste Netznutzungskapazitaeten

Energy Technology Data Exchange (ETDEWEB)

Anon.

2006-07-15

In the so-called ministerial permission from July / September 2002 the E.ON AG is permitted to adopt shares of the former Ruhrgas AG (today E.ON Ruhrgas AG, ERAG). The transformation of the duties in this ministerial permission led to law suites. Recently, the federal network agency had to decide on a petition of EnBW Trading GmbH (EnBW) against the E.ON Ruhrgas Transport AG and Co. KG (ERT). EnBW had requested a transformation interruptible network use capacities into firm network use capacities. The federal network agency has permitted this petition of EnBW with resolution from 5 May 2006 (file reference: BK7-06-008). In the following, the author describes the reasons of this decision in detail. However, this decision is not be valid in law. Therefore, ERT has appealed a complaint at the higher regional court Duesseldorf.

Interacting forms of expertise in security governance: the example of CCTV surveillance at Geneva International Airport.

Science.gov (United States)

Klauser, Francisco

2009-06-01

The paper investigates the multiple public-private exchanges and cooperation involved in the installation and development of CCTV surveillance at Geneva International Airport. Emphasis is placed on the interacting forms of authority and expertise of five parties: the user(s), owner and supplier of the camera system, as well as the technical managers of the airport and the Swiss regulatory bodies in airport security. While placing the issues of airport surveillance in the particular context of a specific range of projects and transformations relating to the developments of CCTV at Geneva Airport, the paper not only provides important insights into the micro-politics of surveillance at Geneva Airport, but aims to re-institute these as part of a broader 'problematic': the mediating role of expertise and the growing functional fragmentation of authority in contemporary security governance. On this basis, the paper also exemplifies the growing mutual interdependences between security and business interests in the ever growing 'surveillant assemblage' in contemporary security governance.

Expertise in chess

OpenAIRE

Gobet, F

2006-01-01

This chapter provides an overview of research into chess expertise. After an historical background and a brief description of the game and the rating system, it discusses the information processes enabling players to choose good moves, and in particular the trade-offs between knowledge and search. Other topics include blindfold chess, talent, and the role of deliberate practice and tournament experience.

Prescribing safety, negotiating expertise

International Nuclear Information System (INIS)

Rolina, Gregory

2010-01-01

Owing to their presumed impact on the safety of high-risk installations, the interactions between regulators and the regulated are a major but seldom explored subject of research in risk management. A study by experts on human and organizational factors in nuclear safety sheds light on the various phases (and their effects) of the process whereby experts produce assessments. Light is shed on a 'negotiated expertise' typical of the French style of safety regulations in nuclear installations. It is based on an ongoing technical dialog between experts and operators ('French cooking' for Anglo-Saxons). This analysis of 'expertise' and thus of the 'logics of action' implemented by experts proposes a typology of actions that can be transposed to other sorts of risk or other fields of activity. It hands us the keys for understanding a very contemporary activity. (author)

Madrasah Culture Based Transformational Leadership Model

OpenAIRE

Nur Khoiri

2016-01-01

Leadership is the ability to influence, direct behavior, and have a particular expertise in the field of the group who want to achieve the goals. A dynamic organization requires transformational leadership model. A school principal as a leader at school aims to actualize good learning leadership. Leadership learning focuses on learning which components include curriculum, teaching and learning process, assessment, teacher assessment and development, good service in learning, and developing a ...

Functional organization of intrinsic connectivity networks in Chinese-chess experts.

Science.gov (United States)

Duan, Xujun; Long, Zhiliang; Chen, Huafu; Liang, Dongmei; Qiu, Lihua; Huang, Xiaoqi; Liu, Timon Cheng-Yi; Gong, Qiyong

2014-04-16

The functional architecture of the human brain has been extensively described in terms of functional connectivity networks, detected from the low-frequency coherent neuronal fluctuations during a resting state condition. Accumulating evidence suggests that the overall organization of functional connectivity networks is associated with individual differences in cognitive performance and prior experience. Such an association raises the question of how cognitive expertise exerts an influence on the topological properties of large-scale functional networks. To address this question, we examined the overall organization of brain functional networks in 20 grandmaster and master level Chinese-chess players (GM/M) and twenty novice players, by means of resting-state functional connectivity and graph theoretical analyses. We found that, relative to novices, functional connectivity was increased in GM/Ms between basal ganglia, thalamus, hippocampus, and several parietal and temporal areas, suggesting the influence of cognitive expertise on intrinsic connectivity networks associated with learning and memory. Furthermore, we observed economical small-world topology in the whole-brain functional connectivity networks in both groups, but GM/Ms exhibited significantly increased values of normalized clustering coefficient which resulted in increased small-world topology. These findings suggest an association between the functional organization of brain networks and individual differences in cognitive expertise, which might provide further evidence of the mechanisms underlying expert behavior. Copyright © 2014 Elsevier B.V. All rights reserved.

Fishing in the Amazonian Forest: A Gendered Social Network Puzzle

NARCIS (Netherlands)

Díaz-Reviriego, I.; Fernández-Llamazares,; Howard, P.L.; Molina, J.L.; Reyes-García, V.

2017-01-01

LLCWe employ social network analysis (SNA) to describe the structure of subsistence fishing social networks and to explore the relation between fishers’ emic perceptions of fishing expertise and their position in networks. Participant observation and quantitative methods were employed among the

Driven by expertise and insulation?: the autonomy of European regulatory agencies

OpenAIRE

Ossege, Christoph

2015-01-01

Expertise and autonomy are cornerstones to the effective operation and legitimacy of European Regulatory Agencies (ERAs). Yet, we know little about ERAs' actual autonomy, nor about factors shaping it. This article studies ERAs' actual autonomy from public and private actors, emphasising two crucial explanatory factors: expertise and rulemaking competences. The lack of insights on expertise is particularly striking, as expertise -the "raison d'être" and main resource of expert bodies- provides...

Recursion-transform method for computing resistance of the complex resistor network with three arbitrary boundaries.

Science.gov (United States)

Tan, Zhi-Zhong

2015-05-01

We develop a general recursion-transform (R-T) method for a two-dimensional resistor network with a zero resistor boundary. As applications of the R-T method, we consider a significant example to illuminate the usefulness for calculating resistance of a rectangular m×n resistor network with a null resistor and three arbitrary boundaries, a problem never solved before, since Green's function techniques and Laplacian matrix approaches are invalid in this case. Looking for the exact calculation of the resistance of a binary resistor network is important but difficult in the case of an arbitrary boundary since the boundary is like a wall or trap which affects the behavior of finite network. In this paper we obtain several general formulas of resistance between any two nodes in a nonregular m×n resistor network in both finite and infinite cases. In particular, 12 special cases are given by reducing one of the general formulas to understand its applications and meanings, and an integral identity is found when we compare the equivalent resistance of two different structures of the same problem in a resistor network.

Intuitive expertise in ICT graduate supervision

Directory of Open Access Journals (Sweden)

Jill Jameson

2002-12-01

Full Text Available Intuitive expertise in the application of advanced interdisciplinary facilitation is the subject of this personal reflection on the graduate supervisory style of Professor David Squires in computers in education. This single-case reflective study examines the characteristics of effective supervision observed during masters and doctoral supervision at King's College in the years 1990-9. Interdisciplinarity in ICT graduate studies particularly requires a fluency of supervisory expertise in enabling supervisees to combine multiple complex perspectives from a number of fields of knowledge. Intuitive combinatory aspects of supervision are highlighted in this reflection on the role carried out by an academic expert in facilitating student success. This is examined from a perspective incorporating affective as well as intellectual elements, informed by characteristics identified in professional sports and performing arts coaching/mentoring. Key characteristics comprising a model of intuitive expertise in ICT graduate supervision were outlined. The resultant portrait aims to complement existing literature on graduate supervision, with reference to the field of ICTI computers in education relating to student hypermedia composition.

Assessing Expertise in Introductory Physics Using Categorization Task

Science.gov (United States)

Mason, Andrew; Singh, Chandralekha

2011-01-01

The ability to categorize problems based upon underlying principles, rather than surface features or contexts, is considered one of several proxy predictors of expertise in problem solving. With inspiration from the classic study by Chi, Feltovich, and Glaser, we assess the distribution of expertise among introductory physics students by asking…

Expertise for Teaching Biology Situated in the Context of Genetic Testing

Science.gov (United States)

Van der Zande, Paul; Akkerman, Sanne F.; Brekelmans, Mieke; Waarlo, Arend Jan; Vermunt, Jan D.

2012-07-01

Contemporary genomics research will impact the daily practice of biology teachers who want to teach up-to-date genetics in secondary education. This article reports on a research project aimed at enhancing biology teachers' expertise for teaching genetics situated in the context of genetic testing. The increasing body of scientific knowledge concerning genetic testing and the related consequences for decision-making indicate the societal relevance of an educational approach based on situated learning. What expertise do biology teachers need for teaching genetics in the personal health context of genetic testing? This article describes the required expertise by exploring the educational practice. Nine experienced teachers were interviewed about the pedagogical content, moral and interpersonal expertise areas concerning how to teach genetics in the personal health context of genetic testing, and the lessons of five of them were observed. The findings showed that the required teacher expertise encompasses specific pedagogical content expertise, interpersonal expertise and a preference for teacher roles and teaching approaches for the moral aspects of teaching in this context. A need for further development of teaching and learning activities for (reflection on) moral reasoning came to the fore. Suggestions regarding how to apply this expertise into context-based genetics education are discussed.

Moral Expertise in the Clinic: Lessons Learned from Medicine and Science.

Science.gov (United States)

McClimans, Leah; Slowther, Anne

2016-08-01

Philosophers and others have questioned whether or not expertise in morality is possible. This debate is not only theoretical, but also affects the perceived legitimacy of clinical ethicists. One argument against moral expertise is that in a pluralistic society with competing moral theories no one can claim expertise regarding what another ought morally to do. There are simply too many reasonable moral values and intuitions that affect theory choice and its application; expertise is epistemically uniform. In this article, we discuss how similar concerns have recently threatened to undermine expertise in medicine and science. In contrast, we argue that the application of values is needed to exercise medical, scientific, and moral expertise. As long as these values are made explicit, worries about a pretense to authority in the context of a liberal democracy are ill-conceived. In conclusion, we argue for an expertise that is epistemically diverse. © The Author 2016. Published by Oxford University Press, on behalf of the Journal of Medicine and Philosophy Inc. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques.

Directory of Open Access Journals (Sweden)

Hazlee Azil Illias

Full Text Available It is important to predict the incipient fault in transformer oil accurately so that the maintenance of transformer oil can be performed correctly, reducing the cost of maintenance and minimise the error. Dissolved gas analysis (DGA has been widely used to predict the incipient fault in power transformers. However, sometimes the existing DGA methods yield inaccurate prediction of the incipient fault in transformer oil because each method is only suitable for certain conditions. Many previous works have reported on the use of intelligence methods to predict the transformer faults. However, it is believed that the accuracy of the previously proposed methods can still be improved. Since artificial neural network (ANN and particle swarm optimisation (PSO techniques have never been used in the previously reported work, this work proposes a combination of ANN and various PSO techniques to predict the transformer incipient fault. The advantages of PSO are simplicity and easy implementation. The effectiveness of various PSO techniques in combination with ANN is validated by comparison with the results from the actual fault diagnosis, an existing diagnosis method and ANN alone. Comparison of the results from the proposed methods with the previously reported work was also performed to show the improvement of the proposed methods. It was found that the proposed ANN-Evolutionary PSO method yields the highest percentage of correct identification for transformer fault type than the existing diagnosis method and previously reported works.

Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques.

Science.gov (United States)

Illias, Hazlee Azil; Chai, Xin Rui; Abu Bakar, Ab Halim; Mokhlis, Hazlie

2015-01-01

It is important to predict the incipient fault in transformer oil accurately so that the maintenance of transformer oil can be performed correctly, reducing the cost of maintenance and minimise the error. Dissolved gas analysis (DGA) has been widely used to predict the incipient fault in power transformers. However, sometimes the existing DGA methods yield inaccurate prediction of the incipient fault in transformer oil because each method is only suitable for certain conditions. Many previous works have reported on the use of intelligence methods to predict the transformer faults. However, it is believed that the accuracy of the previously proposed methods can still be improved. Since artificial neural network (ANN) and particle swarm optimisation (PSO) techniques have never been used in the previously reported work, this work proposes a combination of ANN and various PSO techniques to predict the transformer incipient fault. The advantages of PSO are simplicity and easy implementation. The effectiveness of various PSO techniques in combination with ANN is validated by comparison with the results from the actual fault diagnosis, an existing diagnosis method and ANN alone. Comparison of the results from the proposed methods with the previously reported work was also performed to show the improvement of the proposed methods. It was found that the proposed ANN-Evolutionary PSO method yields the highest percentage of correct identification for transformer fault type than the existing diagnosis method and previously reported works.

Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques

Science.gov (United States)

2015-01-01

It is important to predict the incipient fault in transformer oil accurately so that the maintenance of transformer oil can be performed correctly, reducing the cost of maintenance and minimise the error. Dissolved gas analysis (DGA) has been widely used to predict the incipient fault in power transformers. However, sometimes the existing DGA methods yield inaccurate prediction of the incipient fault in transformer oil because each method is only suitable for certain conditions. Many previous works have reported on the use of intelligence methods to predict the transformer faults. However, it is believed that the accuracy of the previously proposed methods can still be improved. Since artificial neural network (ANN) and particle swarm optimisation (PSO) techniques have never been used in the previously reported work, this work proposes a combination of ANN and various PSO techniques to predict the transformer incipient fault. The advantages of PSO are simplicity and easy implementation. The effectiveness of various PSO techniques in combination with ANN is validated by comparison with the results from the actual fault diagnosis, an existing diagnosis method and ANN alone. Comparison of the results from the proposed methods with the previously reported work was also performed to show the improvement of the proposed methods. It was found that the proposed ANN-Evolutionary PSO method yields the highest percentage of correct identification for transformer fault type than the existing diagnosis method and previously reported works. PMID:26103634

The Worldviews Network: Transformative Global Change Education in Immersive Environments

Science.gov (United States)

Hamilton, H.; Yu, K. C.; Gardiner, N.; McConville, D.; Connolly, R.; "Irving, Lindsay", L. S.

2011-12-01

Our modern age is defined by an astounding capacity to generate scientific information. From DNA to dark matter, human ingenuity and technologies create an endless stream of data about ourselves and the world of which we are a part. Yet we largely founder in transforming information into understanding, and understanding into rational action for our society as a whole. Earth and biodiversity scientists are especially frustrated by this impasse because the data they gather often point to a clash between Earth's capacity to sustain life and the decisions that humans make to garner the planet's resources. Immersive virtual environments offer an underexplored link in the translation of scientific data into public understanding, dialogue, and action. The Worldviews Network is a collaboration of scientists, artists, and educators focused on developing best practices for the use of immersive environments for science-based ecological literacy education. A central tenet of the Worldviews Network is that there are multiple ways to know and experience the world, so we are developing scientifically accurate, geographically relevant, and culturally appropriate programming to promote ecological literacy within informal science education programs across the United States. The goal of Worldviews Network is to offer transformative learning experiences, in which participants are guided on a process integrating immersive visual explorations, critical reflection and dialogue, and design-oriented approaches to action - or more simply, seeing, knowing, and doing. Our methods center on live presentations, interactive scientific visualizations, and sustainability dialogues hosted at informal science institutions. Our approach uses datasets from the life, Earth, and space sciences to illuminate the complex conditions that support life on earth and the ways in which ecological systems interact. We are leveraging scientific data from federal agencies, non-governmental organizations, and our

Instructional Design for Accelerated Macrocognitive Expertise in the Baseball Workplace

OpenAIRE

Fadde, Peter J.

2016-01-01

The goal of accelerating expertise can leave researchers and trainers in human factors, naturalistic decision making, sport science, and expertise studies concerned about seemingly insufficient application of expert performance theories, findings and methods for training macrocognitive aspects of human performance. Video-occlusion methods perfected by sports expertise researchers have great instructional utility, in some cases offering an effective and inexpensive alternative to high-fidelity...

Adults' and Children's Understanding of How Expertise Influences Learning.

Science.gov (United States)

Danovitch, Judith H; Shenouda, Christine K

2018-01-01

Adults and children use information about expertise to infer what a person is likely to know, but it is unclear whether they realize that expertise also has implications for learning. We explore adults' and children's understanding that expertise in a particular category supports learning about a closely related category. In four experiments, 5-year-olds and adults (n = 160) judged which of two people would be better at learning about a new category. When faced with an expert and a nonexpert, adults consistently indicated that expertise supports learning in a closely related category; however, children's judgments were inconsistent and were strongly influenced by the description of the nonexpert. The results suggest that although children understand what it means to be an expert, they may judge an individual's learning capacity based on different considerations than adults.

One Core Phase Shifting Transformer for Control of the Power Flow Distribution in Electric Networks

Directory of Open Access Journals (Sweden)

Golub I.V.

2016-08-01

Full Text Available This paper presents the variant of phase shifting transformer that is made, unlike from traditional technology, on the basis of only one magnetic core. The paper describes the methodology related to the analysis of operation modes of device and its components. Additionally it presents a mathematical model of device with determines the relationship between input and output electric quantities as well as own longitudinal and transverse parameters of an equivalent circuit of phase shifting transformer (PST. Proposed configuration of PST is interesting from an economic and operational consideration; enable continuous control of power flow distribution in electric networks as a result of regulation a phase shift angle between input and output voltages of device.

The influence of expertise on continuous categories: A whole report study of colour expertise

DEFF Research Database (Denmark)

Dall, Jonas Olsen; Sørensen, Thomas Alrik

2018-01-01

Recently research has shifted from examining discrete categories (e.g. letters) to continuous categories (e.g. colours). While studies have shown that stimuli specific expertise influence discrete categories, there are little research into how it influences continuous categories. The current study...

An 8-GW long-pulse generator based on Tesla transformer and pulse forming network.

Science.gov (United States)

Su, Jiancang; Zhang, Xibo; Li, Rui; Zhao, Liang; Sun, Xu; Wang, Limin; Zeng, Bo; Cheng, Jie; Wang, Ying; Peng, Jianchang; Song, Xiaoxin

2014-06-01

A long-pulse generator TPG700L based on a Tesla transformer and a series pulse forming network (PFN) is constructed to generate intense electron beams for the purpose of high power microwave (HPM) generation. The TPG700L mainly consists of a 12-stage PFN, a built-in Tesla transformer in a pulse forming line, a three-electrode gas switch, a transmission line with a trigger, and a load. The Tesla transformer and the compact PFN are the key technologies for the development of the TPG700L. This generator can output electrical pulses with a width as long as 200 ns at a level of 8 GW and a repetition rate of 50 Hz. When used to drive a relative backward wave oscillator for HPM generation, the electrical pulse width is about 100 ns on a voltage level of 520 kV. Factors affecting the pulse waveform of the TPG700L are also discussed. At present, the TPG700L performs well for long-pulse HPM generation in our laboratory.

An 8-GW long-pulse generator based on Tesla transformer and pulse forming network

Energy Technology Data Exchange (ETDEWEB)

Su, Jiancang; Zhang, Xibo; Li, Rui; Zhao, Liang, E-mail: zhaoliang0526@163.com; Sun, Xu; Wang, Limin; Zeng, Bo; Cheng, Jie; Wang, Ying; Peng, Jianchang; Song, Xiaoxin [Science and Technology on High Power Microwave Laboratory, Northwest Institute of Nuclear Technology, Xi' an, Shaanxi 710024 (China)

2014-06-15

A long-pulse generator TPG700L based on a Tesla transformer and a series pulse forming network (PFN) is constructed to generate intense electron beams for the purpose of high power microwave (HPM) generation. The TPG700L mainly consists of a 12-stage PFN, a built-in Tesla transformer in a pulse forming line, a three-electrode gas switch, a transmission line with a trigger, and a load. The Tesla transformer and the compact PFN are the key technologies for the development of the TPG700L. This generator can output electrical pulses with a width as long as 200 ns at a level of 8 GW and a repetition rate of 50 Hz. When used to drive a relative backward wave oscillator for HPM generation, the electrical pulse width is about 100 ns on a voltage level of 520 kV. Factors affecting the pulse waveform of the TPG700L are also discussed. At present, the TPG700L performs well for long-pulse HPM generation in our laboratory.

Perspective: Simulation and transformational change: the paradox of expertise.

Science.gov (United States)

Kneebone, Roger

2009-07-01

Simulation is widely seen as a space where procedural skills can be practiced in safety, free from the pressures and complexities of clinical care. Central to this approach is the notion of simplification, a stripping down of skills into their component parts. Yet the definition of simplicity is contestable, often determined by experts without reference to those they teach.The author uses the ha-ha, a hidden ditch around a large country house used by 18th-century English landscape gardeners to create an illusion that the house is surrounded by untamed nature, as a metaphor for the differing perspectives of expert and novice. The author proposes that this difference of perspective lies at the heart of many current problems with simulation and simulators.This article challenges the philosophy of simplification, arguing that procedural skills should not be divorced from their clinical context and that oversimplification of a complex process can interfere with deep understanding. The author draws on Meyer and Land's notions of threshold concepts and troublesome knowledge and on his own experience with patient-focused simulation to propose an alternative view of simulation, framing it as a safe space which can reflect the uncertainties of clinical practice and recreate the conditions of real-world learning. By reintroducing complexity and human unpredictability, simulation can provide a safe environment for assisting the transformational change that is essential to becoming a competent clinician.

Scotland's knowledge network: a progress report on Knowledge into Action.

Science.gov (United States)

Wales, Ann; Boyle, Derek

2015-11-01

Launched in 2012, Knowledge into Action is the national knowledge management strategy for the health and social care workforce in Scotland. It is transforming the role of the national digital knowledge service--NHS Education for Scotlands' Knowledge Network--and the NHSS librarian role to offer more active, tailored support for translating knowledge into frontline clinical practice. This includes the development of a national evidence search and summary service, help with converting knowledge into practical and usable formats for easy use at point of care and with using digital tools to share clinicians' learning, experience and expertise. Through this practical support, Knowledge into Action is contributing to quality and safety outcomes across NHS Scotland, building clinicians' capacity and capability in applying knowledge in frontline practice and service improvement. © The Author(s) 2015.

Short-term wind power forecasting in Portugal by neural networks and wavelet transform

Energy Technology Data Exchange (ETDEWEB)

Catalao, J.P.S. [Department of Electromechanical Engineering, University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilha (Portugal); Center for Innovation in Electrical and Energy Engineering, Instituto Superior Tecnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon (Portugal); Pousinho, H.M.I. [Department of Electromechanical Engineering, University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilha (Portugal); Mendes, V.M.F. [Department of Electrical Engineering and Automation, Instituto Superior de Engenharia de Lisboa, R. Conselheiro Emidio Navarro, 1950-062 Lisbon (Portugal)

2011-04-15

This paper proposes artificial neural networks in combination with wavelet transform for short-term wind power forecasting in Portugal. The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. Results from a real-world case study are presented. A comparison is carried out, taking into account the results obtained with other approaches. Finally, conclusions are duly drawn. (author)

From Meaning Well to Doing Well: Ethical Expertise in the GIS Domain

Science.gov (United States)

Huff, Chuck

2014-01-01

There is evidence to support the idea that moral action can be thought of in terms of expertise in a domain. This paper reviews work on the development of moral expertise across five levels, from novice to expertise. It addresses the role of habit in expertise and self-regulation strategies that signal when habitual action is not working and that…

Three-Way Channels With Multiple Unicast Sessions: Capacity Approximation via Network Transformation

KAUST Repository

Chaaban, Anas

2016-09-28

A network of three nodes mutually communicating with each other is studied. This multi-way network is a suitable model for three-user device-to-device communications. The main goal of this paper is to characterize the capacity region of the underlying Gaussian three-way channel (3WC) within a constant gap. To this end, a capacity outer bound is derived using cut-set bounds and genie-aided bounds. For achievability, the 3WC is first transformed into an equivalent star channel. This latter is then decomposed into a set of “successive” sub-channels, leading to a sub-channel allocation problem. Using backward decoding, interference neutralization, and known results on the capacity of the star-channel relying of physical-layer network coding, an achievable rate region for the 3WC is obtained. It is then shown that the achievable rate region is within a constant gap of the developed outer bound, leading to the desired capacity approximation. Interestingly, in contrast to the Gaussian two-way channel (TWC), adaptation is necessary in the 3WC. Furthermore, message splitting is another ingredient of the developed scheme for the 3WC, which is not required in the TWC. The two setups are, however, similar in terms of their sum-capacity pre-log, which is equal to 2. Finally, some interesting networks and their approximate capacities are recovered as special cases of the 3WC, such as the cooperative broadcast channel and multiple access channel.

Topotactic transformations of superstructures: from thin films to two-dimensional networks to nested two-dimensional networks.

Science.gov (United States)

Guo, Chuan Fei; Cao, Sihai; Zhang, Jianming; Tang, Haoying; Guo, Shengming; Tian, Ye; Liu, Qian

2011-06-01

Design and synthesis of super-nanostructures is one of the key and prominent topics in nanotechnology. Here we propose a novel methodology for synthesizing complex hierarchical superstructures using sacrificial templates composed of ordered two-dimensional (2D) nanostructures through lattice-directed topotactic transformations. The fabricated superstructures are nested 2D orthogonal Bi(2)S(3) networks composed of nanorods. Further investigation indicates that the lattice matching between the product and sacrificial template is the dominant mechanism for the formation of the superstructures, which agrees well with the simulation results based on an anisotropic nucleation and growth analysis. Our approach may provide a promising way toward a lattice-directed nonlithographic nanofabrication technique for making functional porous nanoarchitectures and electronic devices. © 2011 American Chemical Society

Developing the experts we need: Fostering adaptive expertise through education.

Science.gov (United States)

Mylopoulos, Maria; Kulasegaram, Kulamakan; Woods, Nicole N

2018-03-08

In this era of increasing complexity, there is a growing gap between what we need our medical experts to do and the training we provide them. While medical education has a long history of being guided by theories of expertise to inform curriculum design and implementation, the theories that currently underpin our educational programs do not account for the expertise necessary for excellence in the changing health care context. The more comprehensive view of expertise gained by research on both clinical reasoning and adaptive expertise provides a useful framing for re-shaping physician education, placing emphasis on the training of clinicians who will be adaptive experts. That is, have both the ability to apply their extensive knowledge base as well as create new knowledge as dictated by patient needs and context. Three key educational approaches have been shown to foster the development of adaptive expertise: learning that emphasizes understanding, providing students with opportunities to embrace struggle and discovery in their learning, and maximizing variation in the teaching of clinical concepts. There is solid evidence that a commitment to these educational approaches can help medical educators to set trainees on the path towards adaptive expertise. © 2018 John Wiley & Sons, Ltd.

A New Prediction Model for Transformer Winding Hotspot Temperature Fluctuation Based on Fuzzy Information Granulation and an Optimized Wavelet Neural Network

Directory of Open Access Journals (Sweden)

Li Zhang

2017-12-01

Full Text Available Winding hotspot temperature is the key factor affecting the load capacity and service life of transformers. For the early detection of transformer winding hotspot temperature anomalies, a new prediction model for the hotspot temperature fluctuation range based on fuzzy information granulation (FIG and the chaotic particle swarm optimized wavelet neural network (CPSO-WNN is proposed in this paper. The raw data are firstly processed by FIG to extract useful information from each time window. The extracted information is then used to construct a wavelet neural network (WNN prediction model. Furthermore, the structural parameters of WNN are optimized by chaotic particle swarm optimization (CPSO before it is used to predict the fluctuation range of the hotspot temperature. By analyzing the experimental data with four different prediction models, we find that the proposed method is more effective and is of guiding significance for the operation and maintenance of transformers.

Using literature and data to learn Bayesian networks as clinical models of ovarian tumors.

Science.gov (United States)

Antal, Peter; Fannes, Geert; Timmerman, Dirk; Moreau, Yves; De Moor, Bart

2004-03-01

Thanks to its increasing availability, electronic literature has become a potential source of information for the development of complex Bayesian networks (BN), when human expertise is missing or data is scarce or contains much noise. This opportunity raises the question of how to integrate information from free-text resources with statistical data in learning Bayesian networks. Firstly, we report on the collection of prior information resources in the ovarian cancer domain, which includes "kernel" annotations of the domain variables. We introduce methods based on the annotations and literature to derive informative pairwise dependency measures, which are derived from the statistical cooccurrence of the names of the variables, from the similarity of the "kernel" descriptions of the variables and from a combined method. We perform wide-scale evaluation of these text-based dependency scores against an expert reference and against data scores (the mutual information (MI) and a Bayesian score). Next, we transform the text-based dependency measures into informative text-based priors for Bayesian network structures. Finally, we report the benefit of such informative text-based priors on the performance of a Bayesian network for the classification of ovarian tumors from clinical data.

Engineering expertise on shift in nuclear power plants: the foreign experience

International Nuclear Information System (INIS)

Melber, B.D.; Schreiber, R.E.

1983-02-01

This report describes the practices of selected foreign countries with providing engineering expertise on shift in nuclear power plants. The extent to which engineering expertise is made available and the alternative models of providing such expertise are presented. The implications of foreign practices for US consideration of alternatives are discussed, with reference to the shift technical advisor (STA) position and to a proposed shift engineer position. The procedure used to obtain information on foreign practices was primarily a review of the literature, including publications, presentations, and government and utility reports. There are two approaches that are in use to make engineering expertise available on shift: (1) employing a graduate engineer in a line management operations position; and (2) creating a specific engineering position for the purpose of providing expertise to the operations staff

Entanglement-continuous unitary transformations

Energy Technology Data Exchange (ETDEWEB)

Sahin, Serkan; Orus, Roman [Institute of Physics, Johannes Gutenberg University, 55099 Mainz (Germany)

2016-07-01

In this talk we present a new algorithm for quantum many-body systems using continuous unitary transformations (CUT) and tensor networks (TNs). With TNs we are able to approximate the solution to the flow equations that lie at the heart of continuous unitary transformations. We call this method Entanglement-Continuous Unitary Transformations (eCUT). It allows us to compute expectation values of local observables as well as tensor network representations of ground states and low-energy excited states. An implementation of the method is shown for 1d systems using matrix product operators. We show preliminary results for the 1d transverse-field Ising model to demonstrate the feasibility of the method.

"Wan Kanyakla" (We are together): Community transformations in Kenya following a social network intervention for HIV care.

Science.gov (United States)

Salmen, Charles R; Hickey, Matthew D; Fiorella, Kathryn J; Omollo, Dan; Ouma, Gor; Zoughbie, Daniel; Salmen, Marcus R; Magerenge, Richard; Tessler, Robert; Campbell, Harold; Geng, Elvin; Gandhi, Monica; Bukusi, Elizabeth A; Cohen, Craig R

2015-12-01

In sub-Saharan Africa, failure to initiate and sustain HIV treatment contributes to significant health, psychosocial, and economic impacts that burden not only infected individuals but diverse members of their social networks. Yet, due to intense stigma, the responsibility for managing lifelong HIV treatment rests solely, and often secretly, with infected individuals. We introduce the concept of "HIV risk induction" to suggest that social networks of infected individuals share a vested interest in improving long-term engagement with HIV care, and may represent an underutilized resource for improving HIV/AIDS outcomes within high prevalence populations. In 2012, we implemented a 'microclinic' intervention to promote social network engagement in HIV/AIDS care and treatment. A microclinic is a therapy management collective comprised of a small group of neighbors, relatives, and friends who are trained as a team to provide psychosocial and adherence support for HIV-infected members. Our study population included 369 patients on ART and members of their social networks on Mfangano Island, Kenya, where HIV prevalence approaches 30%. Here we report qualitative data from 18 focus group discussions conducted with microclinic participants (n = 82), community health workers (n = 40), and local program staff (n = 39). Participants reported widespread acceptability and enthusiasm for the microclinic intervention. Responses highlight four overlapping community transformations regarding HIV care and treatment, namely (1) enhanced HIV treatment literacy (2) reduction in HIV stigma, (3) improved atmosphere for HIV status disclosure and (4) improved material and psychosocial support for HIV-infected patients. Despite challenges, participants describe an emerging sense of "collective responsibility" for treatment among HIV-infected and HIV-uninfected members of social networks. The lived experiences and community transformations highlighted by participants enrolled in this social

Madrasah Culture Based Transformational Leadership Model

Directory of Open Access Journals (Sweden)

Nur Khoiri

2016-10-01

Full Text Available Leadership is the ability to influence, direct behavior, and have a particular expertise in the field of the group who want to achieve the goals. A dynamic organization requires transformational leadership model. A school principal as a leader at school aims to actualize good learning leadership. Leadership learning focuses on learning which components include curriculum, teaching and learning process, assessment, teacher assessment and development, good service in learning, and developing a learning community in schools based on organizational culture as value, assumption, belief evolved from the roots of member thought of the organization and believed by all members of the organization and implemented in everyday life that could give meaning Keywords: leadership, transformational leadership, headmaster, instructional leadership, organizational culture.

The contribution of research on expertise to understanding of expert thinking

Directory of Open Access Journals (Sweden)

Krnjaić Zora

2013-01-01

Full Text Available Expertise is determined based on the high level of mastery of knowledge and skills in different areas of human activities (science, art, sports and other less formal domains. This paper explores the contribution of empirical research on expertise to understanding of the nature of expert thinking. For that purpose we have compiled an overview and performed an analysis of the findings of relevant research on expertise based on different approaches and paradigms. We have included the studies that researched experts singled out based on their exceptional performances in different domains (absolute expertise and the studies based on comparing experts with novices (relative expertise. We have analyzed the studies using different paradigms: psychometric and cognitive paradigms, as well as the new offshoot, the paradigm based on viewing giftedness as developing expertise. Research results provide empirically grounded findings on the characteristics of expert thinking and consistently point to the fact that knowledge is the core of expertise. The characteristics of expert knowledge are operationalized via the quantity and organization of knowledge and the mastery of deep contents and knowledge systems, which enables the recognition of rules, models and information sets, as well as the use of knowledge in further studying, detecting and solving different problems. It can be concluded that research findings on expertise are one of the foundations in the conceptualization of expert thinking. They significantly contribute to obtaining an insight into the way in which knowledge shapes thought and into understanding the mechanisms of demonstrating knowledge in the mental processes of experts.

An Expertise Engine: MAST in the 2020s

Science.gov (United States)

Goldston Peek, Joshua Eli; Smith, Arfon M.; Momcheva, Ivelina G.

2018-06-01

The original Hubble Space Telescope archive showed how encapsulating expertise in science-ready data products could accelerate the pace of scientific advancement, and enable extremely productive archival research. In the 2000s, MAST and the Hubble Legacy Archive showed how taking these products to the next level further democratized astronomy, with archival science overtaking PI science as the dominant output of MAST missions. We argue that these data products fundamentally act as a vector for expertise, allowing novice users access to the detailed and advanced techniques of experts. In the 2020s we will see an explosion of data volume, data precision, and data complexity which will demand an even more powerful and sophisticated expertise engine. We’ll discuss how MAST plans to rise to meet that challenge.

Music and language expertise influence the categorization of speech and musical sounds: behavioral and electrophysiological measurements.

Science.gov (United States)

Elmer, Stefan; Klein, Carina; Kühnis, Jürg; Liem, Franziskus; Meyer, Martin; Jäncke, Lutz

2014-10-01

In this study, we used high-density EEG to evaluate whether speech and music expertise has an influence on the categorization of expertise-related and unrelated sounds. With this purpose in mind, we compared the categorization of speech, music, and neutral sounds between professional musicians, simultaneous interpreters (SIs), and controls in response to morphed speech-noise, music-noise, and speech-music continua. Our hypothesis was that music and language expertise will strengthen the memory representations of prototypical sounds, which act as a perceptual magnet for morphed variants. This means that the prototype would "attract" variants. This so-called magnet effect should be manifested by an increased assignment of morphed items to the trained category, by a reduced maximal slope of the psychometric function, as well as by differential event-related brain responses reflecting memory comparison processes (i.e., N400 and P600 responses). As a main result, we provide first evidence for a domain-specific behavioral bias of musicians and SIs toward the trained categories, namely music and speech. In addition, SIs showed a bias toward musical items, indicating that interpreting training has a generic influence on the cognitive representation of spectrotemporal signals with similar acoustic properties to speech sounds. Notably, EEG measurements revealed clear distinct N400 and P600 responses to both prototypical and ambiguous items between the three groups at anterior, central, and posterior scalp sites. These differential N400 and P600 responses represent synchronous activity occurring across widely distributed brain networks, and indicate a dynamical recruitment of memory processes that vary as a function of training and expertise.

Invasive Species Working Group: Research Summary and Expertise Directory

Science.gov (United States)

Jack Butler; Dean Pearson; Mee-Sook Kim

2009-01-01

Rocky Mountain Research Station (RMRS) personnel have scientific expertise in widely ranging disciplines and conduct multidisciplinary research on invasive species issues with emphasis in terrestrial and aquatic habitats throughout the Interior West, Great Plains, and related areas (fig. 1; Expertise Directory; appendix). RMRS invasive species research covers an array...

Partial Information Community Detection in a Multilayer Network

Science.gov (United States)

2016-06-01

26 3 Methodology 33 3.1 Topology of the Noordin Top Terrorist Network . . . . . . . . . . . . 33 3.2 Partial Information... Topology of Synthetic Network. . . . . . . . . . . . . . . . . . . 69 4.4 Four Discovery Algorithms Discovering Red Vertices in a Synthetic Network 72 4.5...without their expertise and analysis. I have been lucky enough to have learned from the wonderful faculty of Applied Mathe - matics Department at the Naval

The politics of expertise in participatory forestry

DEFF Research Database (Denmark)

Green, Kathryn E.; Lund, Jens Friis

2015-01-01

In this paper, we show how the framing of a community-based forest management (CBFM) intervention implies the professionalization of forest management and the privileging of certain forms of knowledge in a village in Tanzania. We describe how the framing of CBFM in technical and procedural terms......, and the subsequent construction of expertise by implementers through training, combine with existing signifiers of social stratification to shape struggles over participation and access to benefits from forest use and management. We also describe how the perceived necessity of expertise is not questioned by village...

Bringing Mental Health Needs into Focus through School Counseling Program Transformation

Science.gov (United States)

Gruman, Diana H.; Marston, Toby; Koon, Holly

2013-01-01

Professional school counselors are educational leaders with training and expertise to address the mental health concerns of students. Unfortunately, work conditions at some schools can create barriers to the delivery of effective mental health services. This article presents a case of one rural, diverse high school that transformed its school…

Direct2Experts: a pilot national network to demonstrate interoperability among research-networking platforms

OpenAIRE

Weber, Griffin M; Barnett, William; Conlon, Mike; Eichmann, David; Kibbe, Warren; Falk-Krzesinski, Holly; Halaas, Michael; Johnson, Layne; Meeks, Eric; Mitchell, Donald; Schleyer, Titus; Stallings, Sarah; Warden, Michael; Kahlon, Maninder

2011-01-01

Research-networking tools use data-mining and social networking to enable expertise discovery, matchmaking and collaboration, which are important facets of team science and translational research. Several commercial and academic platforms have been built, and many institutions have deployed these products to help their investigators find local collaborators. Recent studies, though, have shown the growing importance of multiuniversity teams in science. Unfortunately, the lack of a standard dat...

Wine Expertise Predicts Taste Phenotype.

Science.gov (United States)

Hayes, John E; Pickering, Gary J

2012-03-01

Taste phenotypes have long been studied in relation to alcohol intake, dependence, and family history, with contradictory findings. However, on balance - with appropriate caveats about populations tested, outcomes measured and psychophysical methods used - an association between variation in taste responsiveness and some alcohol behaviors is supported. Recent work suggests super-tasting (operationalized via propylthiouracil (PROP) bitterness) not only associates with heightened response but also with more acute discrimination between stimuli. Here, we explore relationships between food and beverage adventurousness and taste phenotype. A convenience sample of wine drinkers (n=330) were recruited in Ontario and phenotyped for PROP bitterness via filter paper disk. They also filled out a short questionnaire regarding willingness to try new foods, alcoholic beverages and wines as well as level of wine involvement, which was used to classify them as a wine expert (n=110) or wine consumer (n=220). In univariate logisitic models, food adventurousness predicted trying new wines and beverages but not expertise. Likewise, wine expertise predicted willingness to try new wines and beverages but not foods. In separate multivariate logistic models, willingness to try new wines and beverages was predicted by expertise and food adventurousness but not PROP. However, mean PROP bitterness was higher among wine experts than wine consumers, and the conditional distribution functions differed between experts and consumers. In contrast, PROP means and distributions did not differ with food adventurousness. These data suggest individuals may self-select for specific professions based on sensory ability (i.e., an active gene-environment correlation) but phenotype does not explain willingness to try new stimuli.

Trouble in paradise: institutionalized expertise in the development of nuclear power, 1945-1975

International Nuclear Information System (INIS)

Balogh, B.

1987-01-01

The post-World War II American state increasingly has relied upon professional expertise. The author explored the evolving relationship between experts and the institutions that housed them in the effort to develop commercial nuclear power. That history suggests that in the long run, experts, working within the pluralist, decentralized, political system, broadened debate. There was a dynamic inherent to the symbiotic relationship between experts and political institutions that consistently attracted new political participants. Experts became more visible because they had to create public demand for nuclear power. As experts and their organizations specialized, debate became more formal, and more public. Interdisciplinary approaches attracted new participants who engaged a web of issue networks. These networks carried political agendas often at odds with those of nuclear power's original developers. It was this dynamic- and the strident public debate between experts it led to-that explains, in part, the declining authority of experts. It was not defeat at the hands of antiintellectuals that diminished the authority of experts

Comprehensive Power Losses Model for Electronic Power Transformer

DEFF Research Database (Denmark)

Yue, Quanyou; Li, Canbing; Cao, Yijia

2018-01-01

and considering the impact of the non-unity power factor and the three-phase unbalanced current, the overall power losses in the distribution network when using the EPT to replace the conventional transformer is analyzed, and the conditions in which the application of the EPT can cause less power losses...... reduced power losses in the distribution network require a comprehensive consideration when comparing the power losses of theEPT and conventional transformer. In this paper, a comprehensive power losses analysis model for the EPT in distribution networks is proposed. By analyzing the EPT self-losses......The electronic power transformer (EPT) has highe rpower losses than the conventional transformer. However, the EPT can correct the power factor, compensate the unbalanced current and reduce the line power losses in the distribution network.Therefore, the higher losses of the EPT and the consequent...

Comprehensive Power Losses Model for Electronic Power Transformer

DEFF Research Database (Denmark)

Yue, Quanyou; Li, Canbing; Cao, Yijia

2018-01-01

The electronic power transformer (EPT) has highe rpower losses than the conventional transformer. However, the EPT can correct the power factor, compensate the unbalanced current and reduce the line power losses in the distribution network.Therefore, the higher losses of the EPT and the consequent...... reduced power losses in the distribution network require a comprehensive consideration when comparing the power losses of theEPT and conventional transformer. In this paper, a comprehensive power losses analysis model for the EPT in distribution networks is proposed. By analyzing the EPT self......-losses and considering the impact of the non-unity power factor and the three-phase unbalanced current, the overall power losses in the distribution network when using the EPT to replace the conventional transformer is analyzed, and the conditions in which the application of the EPT can cause less power losses...

The signal extraction of fetal heart rate based on wavelet transform and BP neural network

Science.gov (United States)

Yang, Xiao Hong; Zhang, Bang-Cheng; Fu, Hu Dai

2005-04-01

This paper briefly introduces the collection and recognition of bio-medical signals, designs the method to collect FM signals. A detailed discussion on the system hardware, structure and functions is also given. Under LabWindows/CVI,the hardware and the driver do compatible, the hardware equipment work properly actively. The paper adopts multi threading technology for real-time analysis and makes use of latency time of CPU effectively, expedites program reflect speed, improves the program to perform efficiency. One threading is collecting data; the other threading is analyzing data. Using the method, it is broaden to analyze the signal in real-time. Wavelet transform to remove the main interference in the FM and by adding time-window to recognize with BP network; Finally the results of collecting signals and BP networks are discussed. 8 pregnant women's signals of FM were collected successfully by using the sensor. The correctness rate of BP network recognition is about 83.3% by using the above measure.

From deep to superficial categorization with increasing expertise.

OpenAIRE

Ormerod, Thomas C.; Fritz, Catherine O.; Ridgway, James

1999-01-01

An experimental study of task design expertise is reported wherein a set of 12 mathematics tasks were sorted by specialist designers of mathematics tasks and by experienced mathematics teachers without specialist design experience. Contrary to the frequent finding of increasing conceptual depth with increasing expertise, conceptual depth did not differ between groups. Teachers sorted on the basis of mathematical content earlier than designers, and were more specific in their content-based cat...

Talent in the taxi: a model system for exploring expertise.

Science.gov (United States)

Woollett, Katherine; Spiers, Hugo J; Maguire, Eleanor A

2009-05-27

While there is widespread interest in and admiration of individuals with exceptional talents, surprisingly little is known about the cognitive and neural mechanisms underpinning talent, and indeed how talent relates to expertise. Because many talents are first identified and nurtured in childhood, it can be difficult to determine whether talent is innate, can be acquired through extensive practice or can only be acquired in the presence of the developing brain. We sought to address some of these issues by studying healthy adults who acquired expertise in adulthood. We focused on the domain of memory and used licensed London taxi drivers as a model system. Taxi drivers have to learn the layout of 25,000 streets in London and the locations of thousands of places of interest, and pass stringent examinations in order to obtain an operating licence. Using neuropsychological assessment and structural and functional magnetic resonance imaging, we addressed a range of key questions: in the context of a fully developed brain and an average IQ, can people acquire expertise to an exceptional level; what are the neural signatures, both structural and functional, associated with the use of expertise; does expertise change the brain compared with unskilled control participants; does it confer any cognitive advantages, and similarly, does it come at a cost to other functions? By studying retired taxi drivers, we also consider what happens to their brains and behaviour when experts stop using their skill. Finally, we discuss how the expertise of taxi drivers might relate to the issue of talent and innate abilities. We suggest that exploring talent and expertise in this manner could have implications for education, rehabilitation of patients with cognitive impairments, understanding individual differences and possibly conditions such as autism where exceptional abilities can be a feature.

Chronic occupational exposure to arsenic induces carcinogenic gene signaling networks and neoplastic transformation in human lung epithelial cells

International Nuclear Information System (INIS)

Stueckle, Todd A.; Lu, Yongju; Davis, Mary E.; Wang, Liying; Jiang, Bing-Hua; Holaskova, Ida; Schafer, Rosana; Barnett, John B.; Rojanasakul, Yon

2012-01-01

Chronic arsenic exposure remains a human health risk; however a clear mode of action to understand gene signaling-driven arsenic carcinogenesis is currently lacking. This study chronically exposed human lung epithelial BEAS-2B cells to low-dose arsenic trioxide to elucidate cancer promoting gene signaling networks associated with arsenic-transformed (B-As) cells. Following a 6 month exposure, exposed cells were assessed for enhanced cell proliferation, colony formation, invasion ability and in vivo tumor formation compared to control cell lines. Collected mRNA was subjected to whole genome expression microarray profiling followed by in silico Ingenuity Pathway Analysis (IPA) to identify lung carcinogenesis modes of action. B-As cells displayed significant increases in proliferation, colony formation and invasion ability compared to BEAS-2B cells. B-As injections into nude mice resulted in development of primary and secondary metastatic tumors. Arsenic exposure resulted in widespread up-regulation of genes associated with mitochondrial metabolism and increased reactive oxygen species protection suggesting mitochondrial dysfunction. Carcinogenic initiation via reactive oxygen species and epigenetic mechanisms was further supported by altered DNA repair, histone, and ROS-sensitive signaling. NF-κB, MAPK and NCOR1 signaling disrupted PPARα/δ-mediated lipid homeostasis. A ‘pro-cancer’ gene signaling network identified increased survival, proliferation, inflammation, metabolism, anti-apoptosis and mobility signaling. IPA-ranked signaling networks identified altered p21, EF1α, Akt, MAPK, and NF-κB signaling networks promoting genetic disorder, altered cell cycle, cancer and changes in nucleic acid and energy metabolism. In conclusion, transformed B-As cells with their whole genome expression profile provide an in vitro arsenic model for future lung cancer signaling research and data for chronic arsenic exposure risk assessment. Highlights: ► Chronic As 2 O 3

Chronic occupational exposure to arsenic induces carcinogenic gene signaling networks and neoplastic transformation in human lung epithelial cells

Energy Technology Data Exchange (ETDEWEB)

Stueckle, Todd A., E-mail: tstueckle@hsc.wvu.edu [Department of Basic Pharmaceutical Sciences, West Virginia University, Morgantown, WV 26506 (United States); Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV 26505 (United States); Lu, Yongju, E-mail: yongju6@hotmail.com [Department of Basic Pharmaceutical Sciences, West Virginia University, Morgantown, WV 26506 (United States); Davis, Mary E., E-mail: mdavis@wvu.edu [Department of Physiology, West Virginia University, Morgantown, WV 26506 (United States); Wang, Liying, E-mail: lmw6@cdc.gov [Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV 26505 (United States); Jiang, Bing-Hua, E-mail: bhjiang@jefferson.edu [Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, Philadelphia, PA 19107 (United States); Holaskova, Ida, E-mail: iholaskova@hsc.wvu.edu [Department of Microbiology, Immunology and Cell Biology, West Virginia University, Morgantown, WV 26506 (United States); Schafer, Rosana, E-mail: rschafer@hsc.wvu.edu [Department of Microbiology, Immunology and Cell Biology, West Virginia University, Morgantown, WV 26506 (United States); Barnett, John B., E-mail: jbarnett@hsc.wvu.edu [Department of Microbiology, Immunology and Cell Biology, West Virginia University, Morgantown, WV 26506 (United States); Rojanasakul, Yon, E-mail: yrojan@hsc.wvu.edu [Department of Basic Pharmaceutical Sciences, West Virginia University, Morgantown, WV 26506 (United States)

2012-06-01

Chronic arsenic exposure remains a human health risk; however a clear mode of action to understand gene signaling-driven arsenic carcinogenesis is currently lacking. This study chronically exposed human lung epithelial BEAS-2B cells to low-dose arsenic trioxide to elucidate cancer promoting gene signaling networks associated with arsenic-transformed (B-As) cells. Following a 6 month exposure, exposed cells were assessed for enhanced cell proliferation, colony formation, invasion ability and in vivo tumor formation compared to control cell lines. Collected mRNA was subjected to whole genome expression microarray profiling followed by in silico Ingenuity Pathway Analysis (IPA) to identify lung carcinogenesis modes of action. B-As cells displayed significant increases in proliferation, colony formation and invasion ability compared to BEAS-2B cells. B-As injections into nude mice resulted in development of primary and secondary metastatic tumors. Arsenic exposure resulted in widespread up-regulation of genes associated with mitochondrial metabolism and increased reactive oxygen species protection suggesting mitochondrial dysfunction. Carcinogenic initiation via reactive oxygen species and epigenetic mechanisms was further supported by altered DNA repair, histone, and ROS-sensitive signaling. NF-κB, MAPK and NCOR1 signaling disrupted PPARα/δ-mediated lipid homeostasis. A ‘pro-cancer’ gene signaling network identified increased survival, proliferation, inflammation, metabolism, anti-apoptosis and mobility signaling. IPA-ranked signaling networks identified altered p21, EF1α, Akt, MAPK, and NF-κB signaling networks promoting genetic disorder, altered cell cycle, cancer and changes in nucleic acid and energy metabolism. In conclusion, transformed B-As cells with their whole genome expression profile provide an in vitro arsenic model for future lung cancer signaling research and data for chronic arsenic exposure risk assessment. Highlights: ► Chronic As{sub 2}O

Neural network Hilbert transform based filtered backprojection for fast inline x-ray inspection

Science.gov (United States)

Janssens, Eline; De Beenhouwer, Jan; Van Dael, Mattias; De Schryver, Thomas; Van Hoorebeke, Luc; Verboven, Pieter; Nicolai, Bart; Sijbers, Jan

2018-03-01

X-ray imaging is an important tool for quality control since it allows to inspect the interior of products in a non-destructive way. Conventional x-ray imaging, however, is slow and expensive. Inline x-ray inspection, on the other hand, can pave the way towards fast and individual quality control, provided that a sufficiently high throughput can be achieved at a minimal cost. To meet these criteria, an inline inspection acquisition geometry is proposed where the object moves and rotates on a conveyor belt while it passes a fixed source and detector. Moreover, for this acquisition geometry, a new neural-network-based reconstruction algorithm is introduced: the neural network Hilbert transform based filtered backprojection. The proposed algorithm is evaluated both on simulated and real inline x-ray data and has shown to generate high quality reconstructions of 400  ×  400 reconstruction pixels within 200 ms, thereby meeting the high throughput criteria.

Expertise synthesis on the CSPE; Synthese d'expertise sur la CSPE

Energy Technology Data Exchange (ETDEWEB)

Blonde, G.; Poizat, F

2008-01-15

This document presents a synthesis of the results of an expertise realized on the CSPE, the compensation tax of the electric public service. This tax concerns the management of the electricity production additional costs in isolated areas, the solidarity, a policy to favor the energy efficiency and the renewable energies. The document explains the historical aspects of the tax elaboration, its financial importance, the consequences and the impacts on the competition. (A.L.B.)

Network propagation in the cytoscape cyberinfrastructure.

Science.gov (United States)

Carlin, Daniel E; Demchak, Barry; Pratt, Dexter; Sage, Eric; Ideker, Trey

2017-10-01

Network propagation is an important and widely used algorithm in systems biology, with applications in protein function prediction, disease gene prioritization, and patient stratification. However, up to this point it has required significant expertise to run. Here we extend the popular network analysis program Cytoscape to perform network propagation as an integrated function. Such integration greatly increases the access to network propagation by putting it in the hands of biologists and linking it to the many other types of network analysis and visualization available through Cytoscape. We demonstrate the power and utility of the algorithm by identifying mutations conferring resistance to Vemurafenib.

Beyond effectuation: Analysing the transformation of business ideas into ventures using actor-network theory"

DEFF Research Database (Denmark)

Murdock, Karen; Varnes, Claus Juul

2018-01-01

definition of the entrepreneurial endeavour. Originality/value This paper examines how ideas are transformed into business ventures by using the ANT to expand understanding from effectuation theory. This shows that means, for instance, are not given but are co-created by the process of translation....../methodology/approach This study uses a longitudinal case study design. The case provides an overview of a new business’s emergence based on three identified translations, each representing critical junctures in the business’s development. An ethnographic approach is selected, which combines observations with qualitative...... as new humans or non-humans become part of it. Including a resource in the network means simultaneously changing the network. This interactionism shows that what sparks interest or attracts resources to a business idea is not simply an influx of additional resources but is simultaneously a dynamic...

Developing a Deeper Understanding of "Mathematics Teaching Expertise": An Examination of Three Chinese Mathematics Teachers' Resource Systems as Windows into Their Work and Expertise

Science.gov (United States)

Pepin, Birgit; Xu, Binyan; Trouche, Luc; Wang, Chongyang

2017-01-01

In order to develop a deeper understanding of mathematics teaching expertise, in this study we use the Documentational Approach to Didactics to explore the resource systems of three Chinese mathematics "expert" teachers. Exploiting the Western and Eastern literature we examine the notion of "mathematics teaching expertise", as…

Nonrigid synthetic aperture radar and optical image coregistration by combining local rigid transformations using a Kohonen network.

Science.gov (United States)

Salehpour, Mehdi; Behrad, Alireza

2017-10-01

This study proposes a new algorithm for nonrigid coregistration of synthetic aperture radar (SAR) and optical images. The proposed algorithm employs point features extracted by the binary robust invariant scalable keypoints algorithm and a new method called weighted bidirectional matching for initial correspondence. To refine false matches, we assume that the transformation between SAR and optical images is locally rigid. This property is used to refine false matches by assigning scores to matched pairs and clustering local rigid transformations using a two-layer Kohonen network. Finally, the thin plate spline algorithm and mutual information are used for nonrigid coregistration of SAR and optical images.

DATA MAYHEM VERSUS NIMBLE INFORMATION: TRANSFORMING HECTIC IMAGERY INTELLIGENCE DATA INTO ACTIONABLE INFORMATION USING ARTIFICIAL NEURAL NETWORKS

Science.gov (United States)

2017-10-01

organized intelligence with a comprehensive account of the information derived, validated by intelligence requirements tasking. Third Phase...AU/ACSC/MORALES/AY17 AIR COMMAND AND STAFF COLLEGE DISTANCE LEARNING AIR UNIVERSITY DATA MAYHEM VERSUS NIMBLE INFORMATION : TRANSFORMING...HECTIC IMAGERY INTELLIGENCE DATA INTO ACTIONABLE INFORMATION USING ARTIFICIAL NEURAL NETWORKS by Luis A. Morales, Major, USAF A Research

Expertise, motivation and teaching in learning companion systems

OpenAIRE

Uresti, Jorge Adolfo Ramirez; du Boulay, Benedict

2004-01-01

This paper describes work carried out to explore the role of a learning companion as a teachable student of the human student. A LCS for Binary Boolean Algebra has been developed to explore the hypothesis that a learning companion with less expertise than the human student would be beneficial if the student taught it. The system implemented two companions with different expertise and two types of motivational conditions. An empirical evaluation was conducted. Although significant differential...

Fusion of expertise among accounting accounting faculty. Towards an expertise model for academia in accounting.

NARCIS (Netherlands)

Njoku, Jonathan C.; van der Heijden, Beatrice; Inanga, Eno L.

2010-01-01

This paper aims to portray an accounting faculty expert. It is argued that neither the academic nor the professional orientation alone appears adequate in developing accounting faculty expertise. The accounting faculty expert is supposed to develop into a so-called ‘flexpert’ (Van der Heijden, 2003)

Parallel consensual neural networks.

Science.gov (United States)

Benediktsson, J A; Sveinsson, J R; Ersoy, O K; Swain, P H

1997-01-01

A new type of a neural-network architecture, the parallel consensual neural network (PCNN), is introduced and applied in classification/data fusion of multisource remote sensing and geographic data. The PCNN architecture is based on statistical consensus theory and involves using stage neural networks with transformed input data. The input data are transformed several times and the different transformed data are used as if they were independent inputs. The independent inputs are first classified using the stage neural networks. The output responses from the stage networks are then weighted and combined to make a consensual decision. In this paper, optimization methods are used in order to weight the outputs from the stage networks. Two approaches are proposed to compute the data transforms for the PCNN, one for binary data and another for analog data. The analog approach uses wavelet packets. The experimental results obtained with the proposed approach show that the PCNN outperforms both a conjugate-gradient backpropagation neural network and conventional statistical methods in terms of overall classification accuracy of test data.

Accurate diagnosis of CHD by Paediatricians with Expertise in Cardiology.

Science.gov (United States)

Jacob, Hannah C; Massey, Hannah; Yates, Robert W M; Kelsall, A Wilfred

2017-08-01

Introduction Paediatricians with Expertise in Cardiology assess children with a full history, examination, and often perform an echocardiogram. A minority are then referred to an outreach clinic run jointly with a visiting paediatric cardiologist. The accuracy of the echocardiography diagnosis made by the Paediatrician with Expertise in Cardiology is unknown. Materials and methods We conducted a retrospective review of clinic letters for children seen in the outreach clinic for the first time between March, 2004 and March, 2011. Children with CHD diagnosed antenatally or elsewhere were excluded. We recorded the echocardiography diagnosis made by the paediatric cardiologist and previously by the Paediatrician with Expertise in Cardiology. The Paediatrician with Expertise in Cardiology referred 317/3145 (10%) children seen in the local cardiac clinics to the outreach clinic over this period, and among them 296 were eligible for inclusion. Their median age was 1.5 years (range 1 month-15.1 years). For 244 (82%) children, there was complete diagnostic agreement between the Paediatrician with Expertise in Cardiology and the paediatric cardiologist. For 29 (10%) children, the main diagnosis was identical with additional findings made by the paediatric cardiologist. The abnormality had resolved in 17 (6%) cases by the time of clinic attendance. In six (2%) patients, the paediatric cardiologist made a different diagnosis. In total, 138 (47%) patients underwent a surgical or catheter intervention. Discussion Paediatricians with Expertise in Cardiology can make accurate diagnoses of CHD in children referred to their clinics. This can allow effective triage of children attending the outreach clinic, making best use of limited specialist resources.

From Networks to Time Series

Science.gov (United States)

Shimada, Yutaka; Ikeguchi, Tohru; Shigehara, Takaomi

2012-10-01

In this Letter, we propose a framework to transform a complex network to a time series. The transformation from complex networks to time series is realized by the classical multidimensional scaling. Applying the transformation method to a model proposed by Watts and Strogatz [Nature (London) 393, 440 (1998)], we show that ring lattices are transformed to periodic time series, small-world networks to noisy periodic time series, and random networks to random time series. We also show that these relationships are analytically held by using the circulant-matrix theory and the perturbation theory of linear operators. The results are generalized to several high-dimensional lattices.

Estimating mental states of a depressed person with bayesian networks

NARCIS (Netherlands)

Klein, Michel C.A.; Modena, Gabriele

2013-01-01

In this work in progress paper we present an approach based on Bayesian Networks to model the relationship between mental states and empirical observations in a depressed person. We encode relationships and domain expertise as a Hierarchical Bayesian Network. Mental states are represented as latent

Competencies of Thai expertise teacher and PCK

Science.gov (United States)

Chantaranima, Tarntip; Yuenyong, Chokchai

2018-01-01

Pedagogical Content Knowledge (PCK) was accepted by worldwide Educators that it is a ubiquitous word in the preparation of teachers in the past decade. This study uses Pedagogical Content Knowledge (PCK) framework as a lens for classifying the guidelines and expectations for categorizing expertise teachers. Therefore, the paper tries to clarify the relationship between competencies of Thai expertise teacher and PCK elements. To promote skillful Thai teachers by offering them academic titles, the Office of the Teacher Civil Service and Education Personal Commission were developed to provide guidelines and expectations for categorizing expertise teachers (OTEPC, 2009). This article focuses on the guideline criteria which are three areas of consideration. The first area of consideration is teacher's disciplines including virtues and professional conducts. The second area of consideration is teacher's knowledge and teaching ability. The last area of consider is teacher's performance. It seemed that the OTEPC guideline pay too much attention on the first area. However, there are some issues of PCK appearing on the OTEPC teacher competency. The paper will discuss some suggestions of fill up PCK in the OTEPC guideline. The paper may have implication for Thailand teacher education.

Transforming networking within the ESIP Federation using ResearchBit

Science.gov (United States)

Robinson, E.

2015-12-01

Geoscientists increasingly need interdisciplinary teams to solve their research problems. Currently, geoscientists use Research Networking (RN) systems to connect with each other and find people of similar and dissimilar interests. As we shift to digitally mediated scholarship, we need innovative methods for scholarly communication. Formal methods for scholarly communication are undergoing vast transformation owing to the open-access movement and reproducible research. However, informal scholarly communication that takes place at professional society meetings and conferences, like AGU, has received limited research attention relying primarily on serendipitous interaction. The ResearchBit project aims to fundamentally improve informal methods of scholarly communication by leveraging the serendipitous interactions of researchers and making them more aware of co-located potential collaborators with mutual interests. This presentation will describe our preliminary hardware testing done at the Federation for Earth Science Information Partners (ESIP) Summer meeting this past July and the initial recommendation system design. The presentation will also cover the cultural shifts and hurdles to introducing new technology, the privacy concerns of tracking technology and how we are addressing those new issues.

Classification of fault diagnosis in a gear wheel by used probabilistic neural network, fast Fourier transform and principal component analysis

Directory of Open Access Journals (Sweden)

Piotr CZECH

2007-01-01

Full Text Available This paper presents the results of an experimental application of artificial neural network as a classifier of the degree of cracking of a tooth root in a gear wheel. The neural classifier was based on the artificial neural network of Probabilistic Neural Network type (PNN. The input data for the classifier was in a form of matrix composedof statistical measures, obtained from fast Fourier transform (FFT and principal component analysis (PCA. The identified model of toothed gear transmission, operating in a circulating power system, served for generation of the teaching and testing set applied for the experiment.

Semantic Technologies for User-Centric Home Network Management

OpenAIRE

Ibrahim Rana, Annie

2015-01-01

Home area network (HAN) management is problematic for ordinary home users. Lack of user expertise, potential complexity of administration tasks, extreme diversity of network devices, price pressures producing devices with minimal feature sets, and highly dynamic requirements of user applications are some of the main challenges in HANs. As networking becomes enabled in many more HAN devices, these problems are set to increase. A viable solution to address these challenges lie...

Musical expertise induces neuroplasticity of the planum temporale.

Science.gov (United States)

Meyer, Martin; Elmer, Stefan; Jäncke, Lutz

2012-04-01

The present manuscript summarizes and discusses the implications of recent neuroimaging studies, which have investigated the relationship between musical expertise and structural, as well as functional, changes in an auditory-related association cortex, namely, the planum temporale (PT). Since the bilateral PT is known to serve as a spectrotemporal processor that supports perception of acoustic modulations in both speech and music, it comes as no surprise that musical expertise corresponds to functional sensitivity and neuroanatomical changes in cortical architecture. In this context, we focus on the following question: To what extent does musical expertise affect the functioning of the left and right plana temporalia? We discuss the relationship between behavioral, hemodynamic, and neuroanatomical data obtained from musicians in light of maturational and developmental issues. In particular, we introduce two studies of our group that show to what extent brains of musicians are more proficient in phonetic task performance. © 2012 New York Academy of Sciences.

An adaptive toolbox approach to the route to expertise in sport.

Science.gov (United States)

de Oliveira, Rita F; Lobinger, Babett H; Raab, Markus

2014-01-01

Expertise is characterized by fast decision-making which is highly adaptive to new situations. Here we propose that athletes use a toolbox of heuristics which they develop on their route to expertise. The development of heuristics occurs within the context of the athletes' natural abilities, past experiences, developed skills, and situational context, but does not pertain to any of these factors separately. This is a novel approach because it integrates separate factors into a comprehensive heuristic description. The novelty of this approach lies within the integration of separate factors determining expertise into a comprehensive heuristic description. It is our contention that talent identification methods and talent development models should therefore be geared toward the assessment and development of specific heuristics. Specifically, in addition to identifying and developing separate natural abilities and skills as per usual, heuristics should be identified and developed. The application of heuristics to talent and expertise models can bring the field one step away from dichotomized models of nature and nurture toward a comprehensive approach to the route to expertise.

An adaptive toolbox approach to the route to expertise in sport

Directory of Open Access Journals (Sweden)

Rita F De Oliveira

2014-07-01

Full Text Available Expertise is characterized by fast decision-making which is highly adaptive to new situations. Here we propose that athletes use a toolbox of heuristics which they develop on their route to expertise. The development of heuristics occurs within the context of the athletes’ natural abilities, past experiences, developed skills, and situational context, but does not pertain to any of these factors separately. This is a novel approach because it integrates separate factors into a comprehensive heuristic description. The novelty of this approach lies within the integration of separate factors determining expertise into a comprehensive heuristic description. It is our contention that talent identification methods and talent development models should therefore be geared towards the assessment and development of specific heuristics. Specifically, in addition to identifying and developing separate natural abilities and skills as per usual, heuristics should be identified and developed. The application of heuristics to talent and expertise models can bring the field one step away from dichotomized models of nature and nurture towards a comprehensive approach to the route to expertise.

Democracy and expertise

International Nuclear Information System (INIS)

Sundqvist, G.

1992-01-01

In the middle of the 1970s when Sweden had realized half of its planned nuclear power programme (six reactors of twelve), nuclear power came up on the top of the political agenda. This paper reports that the new government, who had to make the final decisions about the programme, was divided and disagreed about the future use of nuclear power. When the crucial decisions had to be made the government consulted both the expertise and the general public (in a referendum), but the outcome of these consultations were used only to legitimate the government's decisions

Network propagation in the cytoscape cyberinfrastructure.

Directory of Open Access Journals (Sweden)

Daniel E Carlin

2017-10-01

Full Text Available Network propagation is an important and widely used algorithm in systems biology, with applications in protein function prediction, disease gene prioritization, and patient stratification. However, up to this point it has required significant expertise to run. Here we extend the popular network analysis program Cytoscape to perform network propagation as an integrated function. Such integration greatly increases the access to network propagation by putting it in the hands of biologists and linking it to the many other types of network analysis and visualization available through Cytoscape. We demonstrate the power and utility of the algorithm by identifying mutations conferring resistance to Vemurafenib.

Study on Magneto-Hydro-Dynamics Disturbance Signal Feature Classification Using Improved S-Transform Algorithm and Radial Basis Function Neural Network

Directory of Open Access Journals (Sweden)

Nan YU

2014-09-01

Full Text Available The interference signal in magneto-hydro-dynamics (MHD may be the disturbance from the power supply, the equipment itself, or the electromagnetic radiation. Interference signal mixed in normal signal, brings difficulties for signal analysis and processing. Recently proposed S-Transform algorithm combines advantages of short time Fourier transform and wavelet transform. It uses Fourier kernel and wavelet like Gauss window whose width is inversely proportional to the frequency. Therefore, S-Transform algorithm not only preserves the phase information of the signals but also has variable resolution like wavelet transform. This paper proposes a new method to establish a MHD signal classifier using S-transform algorithm and radial basis function neural network (RBFNN. Because RBFNN centers ascertained by k-means clustering algorithm probably are the local optimum, this paper analyzes the characteristics of k-means clustering algorithm and proposes an improved k-means clustering algorithm called GCW (Group-cluster-weight k-means clustering algorithm to improve the centers distribution. The experiment results show that the improvement greatly enhances the RBFNN performance.

On the assessment of expertise profiles

NARCIS (Netherlands)

Berendsen, R.; Rijke, M. de; Balog, K.; Bogers, T.; Bosch, A.P.J. van den

2013-01-01

Expertise retrieval has attracted significant interest in the field of information retrieval. Expert finding has been studied extensively, with less attention going to the complementary task of expert profiling, that is, automatically identifying topics about which a person is knowledgeable. We

Nuclear energy: from scientist mobilisation to the rise of counter-expertise

International Nuclear Information System (INIS)

Topcu, Sezin

2006-01-01

The management of nuclear energy in France was restricted until the mid 1970's to a small circle of government experts. Within the scientific community criticism against nuclear power mostly targeted nuclear weapons while the sphere of civil nuclear energy remained unchallenged. The launch of the French nuclear programme in 1974 led to the first protest against civil nuclear power and its management within the scientific community. The mobilisation of thousands of researchers against the programme, initially through a petition, the so-called 'Appeal of the 400', then through the creation of an association, the 'Group of Scientists for Information on Nuclear Energy (GSIEN)', beside reflecting a rupture in the relations with science, progress and decision-making processes in the nuclear field, also expressed in the following decades the appropriation of critical knowledge on nuclear risks by the actors of non-governmental organisations. The criticism raised by scientists in 1975 therefore underlies two major shifts between the 1950's to 1990's in collective action vis-a-vis nuclear risk: from the mobilisation of 'distinguished scientists' against the atom bomb in the 1950's and 1960's (Joliot, Russell, Einstein, Rostand) to the politicisation of nuclear power by 'critical scientists' in the post-May 1968 period (GSIEN) and finally, after the Chernobyl accident, to the rise of associations of counter-expertise on nuclear energy (creation of expert NGOs such as the Commission for Independent Research and Information on Radioactivity-CRIIRAD and the Association for the Control of Radioactivity in the West-ACRO). This paper examines the crucial role that the community of physicists has played in transforming the relations between scientists, science, expertise and society

The scripts and expertise of firesetters: A preliminary conceptualization

OpenAIRE

Butler, Helen; Gannon, Theresa A.

2015-01-01

The importance of cognition in the facilitation and reinforcement of criminal behavior has been highlighted and recognized in numerous offender populations. Coupled with this is an emerging body of literature suggesting offenders may, in fact, display a certain level of expertise in their offending. In this paper, the notion of offending expertise along with cognition—specifically the concept of offence scripts—will be explored in relation to firesetting behavior for the first time. Using res...

On a Possible Relationship between Linguistic Expertise and EEG Gamma Band Phase Synchrony

Science.gov (United States)

Reiterer, Susanne; Pereda, Ernesto; Bhattacharya, Joydeep

2011-01-01

Recent research has shown that extensive training in and exposure to a second language can modify the language organization in the brain by causing both structural and functional changes. However it is not yet known how these changes are manifested by the dynamic brain oscillations and synchronization patterns subserving the language networks. In search for synchronization correlates of proficiency and expertise in second language acquisition, multivariate EEG signals were recorded from 44 high and low proficiency bilinguals during processing of natural language in their first and second languages. Gamma band (30–45 Hz) phase synchronization (PS) was calculated mainly by two recently developed methods: coarse-graining of Markov chains (estimating global phase synchrony, measuring the degree of PS between one electrode and all other electrodes), and phase lag index (PLI; estimating bivariate phase synchrony, measuring the degree of PS between a pair of electrodes). On comparing second versus first language processing, global PS by coarse-graining Markov chains indicated that processing of the second language needs significantly higher synchronization strength than first language. On comparing the proficiency groups, bivariate PS measure (i.e., PLI) revealed that during second language processing the low proficiency group showed stronger and broader network patterns than the high proficiency group, with interconnectivities between a left fronto-parietal network. Mean phase coherence analysis also indicated that the network activity was globally stronger in the low proficiency group during second language processing. PMID:22125542

Digital Student Expertise in the Making

DEFF Research Database (Denmark)

Stenbøg, Sofie

student (e.g. Bennett et. al. 2008, Helsper & Eynon 2009). In this paper I go beyond the idea of digital expertise as something intrinsic. Building on STS’s central notion of performativity (e.g. Law & Singleton 2000) the paper argues that digital expertise should be studied as a temporary achievement......Digital Natives, iGens’ or New Millennium Learners (Prensky 2001, Raphelson 2014, OECD 2008). There are many labels for the generation of young (western) citizens who have grown up with digital, web based technologies as a crucial part of their everyday life. This genera-tion now inhabits schools...... all around the world and their entry has not escaped the attention from teachers, school managers and policy makers. A current trend within education management, in Denmark as well as internationally, is to incorporate the students’ digital skills or ‘expertise’ as a resource in teaching, e.g. through...

Evaluation of cooperation WPP and PV connected through the shared transformer to the network 22kV

Directory of Open Access Journals (Sweden)

Tomas Sumbera

2012-01-01

Full Text Available The article deals with evaluation the cooperation possibility of wind and solar power plants connected through the common transformator to the 22kV network. Cooperation evaluation is, based on measured data, for wind power plant about installed capacity 2MW and for solar power plant about installed capacity 1,1MWp. In the next part of this article there is the analysis of suitable localities for construction of „hybrid system (WPP+PV“ in the Czech Republic. The last part of the article deals with analysis of active power fluctuation of individuals electric sources compared with system WPP+PV and with evaluation the effects after system connection WPP+PV to the 22kV network.

Critical Pedagogy as Collective Social Expertise in Higher Education

Directory of Open Access Journals (Sweden)

Juha Suoranta

2006-10-01

Full Text Available In this article, dedicated to the revolutionary educational work of Peter McLaren, we will deal with the question of practical teaching methods in higher education from the point of view of critical pedagogy. We argue that nowadays teaching and learning in educational and social sciences are too often meaningless from the point of view of critical collective learning. Thus the central task in critical pedagogy, and in reform of higher education, is to understand the oppressive aspects of present college life and overall society in order to generate pedagogical, individual and societal transformation while developing pedagogical strategies and study methods that work toward the elimination of various forms of subordination based on class, gender, race and sexual orientation, and strengthen students’ possibilities for genuine collective learning while empowering them to fight against inequalities in the world. Our reflections stem from our academic life and teaching experiences both in Finland and the U.S. We suggest that in order to teach critically, educators need to use more collaborative and collective teaching and learning methods. Thus the idea of collective social expertise becomes a core aim of teaching in the context of critical pedagogy.

Flight nursing expertise: towards a middle-range theory

Science.gov (United States)

Reimer, Andrew P.; Moore, Shirley M.

2010-01-01

Aim This paper presents a middle-range Theory of Flight Nursing Expertise. Background Rotary-wing (helicopter) medical transport has grown rapidly in the USA since its introduction, particularly during the past 5 years. Patients once considered too sick to transport are now being transported more frequently and over longer distances. Many limitations are imposed by the air medical transport environment and these require nurses to alter their practice. Data sources A literature search was conducted using Pubmed, Medline, CINAHL, secondary referencing and an Internet search from 1960 to 2008 for studies related to the focal concepts in flight nursing. Discussion The middle-range Theory of Flight Nursing Expertise is composed of nine concepts (experience, training, transport environment of care, psychomotor skills, flight nursing knowledge, cue recognition, pattern recognition, decision-making and action) and their relationships. Five propositions describe the relationships between those concepts and how they apply to flight nursing expertise. Implications for nursing After empirical testing, this theory may be a useful tool to assist novice flight nurses to attain the skills necessary to provide safe and competent care more efficiently, and may aid in designing curricula and programmes of research. Conclusion Research is needed to determine the usefulness of this theory in both rotary and fixed-wing medical transport settings, and to examine the similarities and differences related to expertise needed for different flight nurse team compositions. Curriculum and training innovations can result from increased understanding of the concepts and relationships proposed in this theory. PMID:20337803

Supporting and Enabling Scholarship: Developing and Sharing Expertise in Online Learning and Teaching

Directory of Open Access Journals (Sweden)

Fiona Barnes

2018-04-01

Full Text Available In a highly competitive, rapidly changing higher education market, universities need to be able to generate pedagogical expertise quickly and ensure that it is applied to practice. Since teaching approaches are constantly evolving, partly responding to emerging learning technologies, there is a need to foster ways to keep abreast on an ongoing basis. This paper explores how a small-scale project, the Teaching Online Panel (TOP, used scholarship investigations and a bottom-up approach to enhance one particular aspect of academic practice – online learning and teaching. The experiences of TOP are useful for identifying:  • how a scholarship approach can help develop academic expertise • its contribution to enhancing understanding of staff’s different roles in the University • ways of developing the necessary supportive network for those undertaking such scholarship • the effectiveness of staff development which is peer-led rather than imposed from above • how practical examples can stimulate practice development • the relevance of literature on communities of practice and landscapes of practice for scholarship • the important role of ‘brokers’ to facilitate the dissemination of scholarship findings • the benefits to the brokers’ own professional roles • the challenges of sustaining such an approach and lessons learnt. This study has relevance for those involved in supporting scholarship or delivering staff development in Higher Education.

An Agent Based Approach To Finding Expertise In The Engineering Design Environment

OpenAIRE

Crowder, Richard; Hughes, Gareth; Hall, Wendy

2003-01-01

During the engineering design process people need to locate colleagues with knowledge to resolve a problem. As identified by discussions with practicing designers the use of computer based systems that assist users with finding such expertise will become increasingly important. In this paper we discuss the development of an agent based Expertise Finder suitable for use within an engineering design environment. A key feature of our approach is that the Expertise Finder returns both recommended...

Financial Expertise as an Arms Race

NARCIS (Netherlands)

Glode, V.; Green, R.C.; Lowery, R.

2010-01-01

We propose a model in which rms involved in trading securities overinvest in financial expertise. Intermediaries or traders in the model meet and bargain over a financial asset. As in the bargaining model in Dang (2008), counterparties endogenously decide whether to acquire information, and improve

Financial Expertise as an Arms Race

NARCIS (Netherlands)

Glode, V.; Green, R.C.; Lowery, R.

2010-01-01

We propose a model in which firms involved in trading securities overinvest in financial expertise. Intermediaries or traders in the model meet and bargain over a financial asset. As in the bargaining model in Dang (2008), counterparties endogenously decide whether to acquire information, and

Rethinking global health research: towards integrative expertise

Directory of Open Access Journals (Sweden)

MacLachlan Malcolm

2009-07-01

Full Text Available Abstract The Bamako Call for Action on Research for Health stresses the importance of inter-disciplinary, inter-ministerial and inter-sectoral working. This challenges much of our current research and postgraduate research training in health, which mostly seeks to produce narrowly focused content specialists. We now need to compliment this type of research and research training, by offering alternative pathways that seek to create expertise, not only in specific narrow content areas, but also in the process and context of research, as well as in the interaction of these different facets of knowledge. Such an approach, developing 'integrative expertise', could greatly facilitate better research utilisation, helping policy makers and practitioners work through more evidence-based practice and across traditional research boundaries.

Supervisor Expertise: Resolving the Dilemma between Bureaucratic Control and Teacher Autonomy.

Science.gov (United States)

Street, Mary Sue; Licata, Joseph W.

1989-01-01

Ideally, teacher confidence in the principal's instructional or supervisory expertise can overcome concerns about professional autonomy and bureaucratic control. This study focuses on elementary teachers' perceptions of the relationships among the principal's supervisory expertise, teacher sense of autonomy, and the robustness of school climate.…

Expertise prompts initial faster processing followed by increased short-term memory

DEFF Research Database (Denmark)

Dall, Jonas Olsen; Watanabe, Katsumi; Sørensen, Thomas Alrik

2017-01-01

with varying degrees of expertise in Japanese reading participated: Danish students (novice), Danish students studying Japanese (trained), and Japanese students (expert).The results showed that while expertise enhanced VSTM only for the expert group, replicating our previous study (Dall et al., 2016), it did...

Reflections on clinical expertise and silent know-how in voice therapy

DEFF Research Database (Denmark)

Iwarsson, Jenny

2014-01-01

The concept of ‘clinical expertise’ is described as a part of evidence-based practice (EBP) together with ‘external scientific evidence’ and ‘patient values and perspectives’. However, clinical expertise in the management of voice disorders has not been described or discussed in much detail....... The expertise seems to consist partly of silent know-how that, from the outside, may seem improperly related to the personality of the speech-language pathologist or exclusively dependent on the number of years in the field. In this paper, it is suggested that clinical expertise in voice therapy consists...

Driven by Expertise and Insulation? The Autonomy of European Regulatory Agencies

Directory of Open Access Journals (Sweden)

Christoph Ossege

2015-03-01

Full Text Available Expertise and autonomy are cornerstones to the effective operation and legitimacy of European Regulatory Agencies (ERAs. Yet, we know little about ERAs’ actual autonomy, nor about factors shaping it. This article studies ERAs’ actual autonomy from public and private actors, emphasising two crucial explanatory factors: expertise and rulemaking competences. The lack of insights on expertise is particularly striking, as expertise—the “raison d’être” and main resource of expert bodies—provides ERAs with a potentially powerful means to increase autonomy. Relying on a rational institutionalist framework within which ERAs enjoy substantive discretion to pursue their goals, the study empirically compares three powerful ERAs—the European Medicines Agency, the European Chemicals Agency, and the European Food Safety Authority. Based on the analysis of 39 semi-structured expert interviews, findings show that expertise is a crucial explanation for ERAs’ substantive autonomy from the Commission. Towards research intensive private stakeholders, the role of expertise becomes less pronounced. Instead, ERAs are more successful in protecting their autonomy by engaging in the risk-averse interpretation of the regulatory framework and by adapting rules over time to adapt their needs: they engage in “procedural insulation”. Political salience provides a scope condition for ERAs to use expert knowledge and rulemaking competences more strategically—potentially undermining scientific quality.

Expertise effects in cutaneous wind perception

NARCIS (Netherlands)

Pluijms, Joost P.; Cañal-Bruland, Rouwen; Bergmann Tiest, Wouter M.; Mulder, F.A.; Savelsbergh, Geert J.P.

2015-01-01

We examined whether expertise effects are present in cutaneous wind perception. To this end, we presented wind stimuli consisting of different wind directions and speeds in a wind simulator. The wind simulator generated wind stimuli from 16 directions and with three speeds by means of eight

Transforming Ordinary Buildings into Smart Buildings via Low-Cost, Self-Powering Wireless Sensors & Sensor Networks

Energy Technology Data Exchange (ETDEWEB)

Feng, Philip [Case Western Reserve Univ., Cleveland, OH (United States)

2017-06-09

The research objective of this project is to design and demonstrate a low-cost, compact, easy-to-deploy, maintenance-free sensor node technology, and a network of such sensors, which enable the monitoring of multiphysical parameters and can transform today’s ordinary buildings into smart buildings with environmental awareness. We develop the sensor node and network via engineering and integration of existing technologies, including high-efficiency mechanical energy harvesting, and ultralow-power integrated circuits (ICs) for sensing and wireless communication. Through integration and innovative power management via specifically designed low-power control circuits for wireless sensing applications, and tailoring energy-harvesting components to indoor applications, the target products will have smaller volume, higher efficiency, and much lower cost (in both manufacturing and maintenance) than the baseline technology. Our development and commercialization objective is to create prototypes for our target products under the CWRU-Intwine collaboration.

Dedicated OO expertise applied to Run II software projects

International Nuclear Information System (INIS)

Amidei, D.

2000-01-01

The change in software language and methodology by CDF and D0 to object-oriented from procedural Fortran is significant. Both experiments requested dedicated expertise that could be applied to software design, coding, advice and review. The Fermilab Run II offline computing outside review panel agreed strongly with the request and recommended that the Fermilab Computing Division hire dedicated OO expertise for the CDF/D0/Computing Division joint project effort. This was done and the two experts have been an invaluable addition to the CDF and D0 upgrade software projects and to the Computing Division in general. These experts have encouraged common approaches and increased the overall quality of the upgrade software. Advice on OO techniques and specific advice on C++ coding has been used. Recently a set of software reviews has been accomplished. This has been a very successful instance of a targeted application of computing expertise, and constitutes a very interesting study of how to move toward modern computing methodologies in HEP

Current expertise location by exploiting the dynamics of knowledge

Directory of Open Access Journals (Sweden)

Josef Nozicka

2012-10-01

Full Text Available Systems for expertise location are either very expensive in terms of the costs of maintenance or they tend to become obsolete or incomplete during the time. This article presents a new approach to knowledge mapping/expertise location allowing reducing the costs of knowledge mapping by maintaining the accuracy of the knowledge map. The efficiency of the knowledge map is achieved by introducing the knowledge estimation measures analysing the dynamics of knowledge of company employees and their textual results of work. Finding an expert with most up-to date knowledge is supported by focusing publishing history analysis. The efficiency of proposed measures within various timeframes of publishing history is evaluated by evaluation method introduced within the article. The evaluation took place in the environment of a middle-sized software company allowing seeing directly a practical usability of the expertise location technique. The results form various implications deployment of knowledge map within the company.

Introduction: Recent advances in expertise research.

NARCIS (Netherlands)

Rikers, Remy; Paas, Fred

2007-01-01

During the 55th meeting of the American Educational Research Association (AERA, 2004) in San Diego, a symposium was organized on Recent Advances in Expertise Research. Most papers in this special issue of Applied Cognitive Psychology were presented in this symposium. The aim of this special issue is

The API petroassist network

International Nuclear Information System (INIS)

Boortz, M.J.; Jardim, G.M.; Horn, S.A.; Disbennett, D.B.

1993-01-01

Past spill responses, such as those in the Exxon Valdez and American Trader incidents, demonstrated the value of companies volunteering their in-house experts and local knowledge to help other companies in spill response. The American Petroleum Institute (API) formed the PetroAssist Network to provide a means for oil companies to readily gain access to the expertise and communications equipment of other oil companies when needed for spill responses. An API work group developed the PetroAssist Network legal agreement and management and activation procedures. To minimize red tape and reduce the burden on members, existing systems were used whenever possible. The network became operational on January 1, 1992, with more than 40 members

Developing a deeper understanding of mathematics teaching expertise : An examination of three Chinese mathematics teachers’ resource systems as windows into their work and expertise

OpenAIRE

Pepin , Birgit; Xu , Binyan; Trouche , Luc; Wang , Chongyang

2017-01-01

International audience; In order to develop a deeper understanding of mathematics teaching expertise, in this study we use the Documentational Approach to Didactics to explore the resource systems of three Chinese mathematics Bexpert^ teachers. Exploiting theWestern and Eastern literature we examine the notion of Bmathematics teaching expertise^, as it is perceived in the East and the West. The data consist of two rounds of in-depth interviews, observations and teachers’ representations of th...

Towards “Operating Within” the Field: Doctoral Students’ Views of Supervisors’ Discipline Expertise

Directory of Open Access Journals (Sweden)

Jan Gube

2017-01-01

Full Text Available Aim/Purpose: This paper considers the role of supervisors’ discipline expertise in doctoral learning from a student perspective. Background:\tDoctoral students need to develop expertise in a particular field of study. In this context, developing expertise requires doctoral students to master disciplinary knowledge, conventions and scholarship under the guidance of supervisors. Methodology\t: The study draws on a mixed-method approach, using an online survey and semi-structured interviews conducted with doctoral students. Contribution: The paper brings to the fore the role of supervisors’ discipline expertise on doctoral students’ research progress. Findings: The survey data suggest that doctoral students nominate their supervisors on the basis of their discipline expertise. They also view supervisors’ expertise as key to the development of ‘insider’ knowledge of their doctoral research. Recommendations for Practitioners: Supervisors play a pivotal role in helping doctoral students overcome intellectual barriers by imparting their discipline knowledge as well as balancing satisfactory doctoral completion rate and high quality student experience. Impact on Society\t: Doctoral supervision equips doctoral students with the right arsenal to be able to competently operate within their field and prepares them for their future research or professional career that demands a high level of discipline expertise. Future Research:\tThe scope of the findings leaves open a discussion about the experiences of doctoral students matched with non-discipline expert supervisory teams; for example, the extent of the mismatch and its ramifications.

Educational Expertise, Advocacy, and Media Influence

Science.gov (United States)

Malin, Joel R.; Lubienski, Christopher

2015-01-01

The efforts of many advocacy organizations to advance their preferred policies despite conflicting evidence of the effectiveness of these policies raise questions about factors that shape successful policy promotion. While many may like to think that expertise on an issue in question is an essential prerequisite for influence in public policy…

Psychological Factors Associated with Paranursing Expertise.

Science.gov (United States)

Brammer, Robert; Haller, Katherine

The psychological factors associated with paranursing expertise were examined in a study of 135 certified nursing assistants (CNAs) at a geriatric nursing facility in Amarillo, Texas. Data were collected through a project-developed screening tool called the Geriatric Employee Screening Tool (GEST), which is a true-false instrument patterned after…

A systematic review of the use of an expertise-based randomised controlled trial design.

Science.gov (United States)

Cook, Jonathan A; Elders, Andrew; Boachie, Charles; Bassinga, Ted; Fraser, Cynthia; Altman, Doug G; Boutron, Isabelle; Ramsay, Craig R; MacLennan, Graeme S

2015-05-30

Under a conventional two-arm randomised trial design, participants are allocated to an intervention and participating health professionals are expected to deliver both interventions. However, health professionals often have differing levels of expertise in a skill-based interventions such as surgery or psychotherapy. An expertise-based approach to trial design, where health professionals only deliver an intervention in which they have expertise, has been proposed as an alternative. The aim of this project was to systematically review the use of an expertise-based trial design in the medical literature. We carried out a comprehensive search of nine databases--AMED, BIOSIS, CENTRAL, CINAHL, Cochrane Methodology Register, EMBASE, MEDLINE, Science Citation Index, and PsycINFO--from 1966 to 2012 and performed citation searches using the ISI Citation Indexes and Scopus. Studies that used an expertise-based trial design were included. Two review authors independently screened the titles and abstracts and assessed full-text reports. Data were extracted and summarised on the study characteristics, general and expertise-specific study methodology, and conduct. In total, 7476 titles and abstracts were identified, leading to 43 included studies (54 articles). The vast majority (88%) used a pure expertise-based design; three (7%) adopted a hybrid design, and two (5%) used a design that was unclear. Most studies compared substantially different interventions (79%). In many cases, key information relating to the expertise-based design was absent; only 12 (28%) reported criteria for delivering both interventions. Most studies recruited the target sample size or very close to it (median of 101, interquartile range of 94 to 118), although the target was reported for only 40% of studies. The proportion of participants who received the allocated intervention was high (92%, interquartile range of 82 to 99%). While use of an expertise-based trial design is growing, it remains uncommon

Analysis of operating conditions of the voltage transformer

Directory of Open Access Journals (Sweden)

Fastiy G. P.

2017-12-01

Full Text Available In electrical networks, constant monitoring of the electrical equipment operation is necessary. To accomplish this task, current transformers and voltage transformers (VT are used, on which the accuracy of electrical measurements, electricity metering, and the reliability of the emergency control system depend. The results of the analysis of the conditions for forming the magnetization of a voltage transformer in the mode with unilateral connection of overhead transmission lines, as well as variants of violations in the 110 kV network that may exist for a relatively long time have been presented. It should be noted that the considered network has its own peculiarities: the overhead transmission lines connected in series have a significant length and a low level of load, which may be a condition for the appearance of a transmission lines capacitive effect (the Ferranti effect, the latter can cause overvoltage. Overvoltage occurs when the operating modes are temporary in terms of operation, adverse combinations of network parameters take place, and can continue until the circuit and network modes change. Most often they appear in asymmetric modes, with short circuits to ground, etc. Asymmetric modes caused by incomplete-phase commutations and wire breaks on the overhead line, as well as wire breaks with subsequent disconnection of power transformers that can affect the voltage level on the VT have been considered. The possibility of VT magnetizing with a prolonged voltage rise in symmetric modes, namely, the manifestation of the Ferranti effect with various loads at substations up to complete switching-off and power transformers switching off has been investigated. The analysis of the measuring voltage transformer operating conditions has been based on materials provided by the "Kolenergo" services.

How to attain expertise in clinical communication?

NARCIS (Netherlands)

Wouda, Jan C.; van de Wiel, Harry B. M.

2013-01-01

Several factors complicate the attainment of expertise in clinical communication. Medical curricula and postgraduate training insufficiently provide the required learning conditions of deliberate practice to overcome these obstacles. In this paper we provide recommendations for learning objectives

Impulse tests on distribution transformers protected by means of spark gaps

Energy Technology Data Exchange (ETDEWEB)

Pykaelae, M L; Palva, V [Helsinki Univ. of Technology, Otaniemi (Finland). High Voltage Institute; Niskanen, K [ABB Corporate Research, Vaasa (Finland)

1998-12-31

Distribution transformers in rural networks have to cope with transient overvoltages, even with those caused by the direct lightning strokes to the lines. In Finland the 24 kV network conditions, such as wooden pole lines, high soil resistivity and isolated neutral network, lead into fast transient overvoltages. Impulse testing of pole-mounted distribution transformers ({<=} 200 kVA) protected by means of spark gaps were studied. Different failure detection methods were used. Results can be used as background information for standardization work dealing with distribution transformers protected by means of spark gaps. (orig.) 9 refs.

Impulse tests on distribution transformers protected by means of spark gaps

Energy Technology Data Exchange (ETDEWEB)

Pykaelae, M.L.; Palva, V. [Helsinki Univ. of Technology, Otaniemi (Finland). High Voltage Institute; Niskanen, K. [ABB Corporate Research, Vaasa (Finland)

1997-12-31

Distribution transformers in rural networks have to cope with transient overvoltages, even with those caused by the direct lightning strokes to the lines. In Finland the 24 kV network conditions, such as wooden pole lines, high soil resistivity and isolated neutral network, lead into fast transient overvoltages. Impulse testing of pole-mounted distribution transformers ({<=} 200 kVA) protected by means of spark gaps were studied. Different failure detection methods were used. Results can be used as background information for standardization work dealing with distribution transformers protected by means of spark gaps. (orig.) 9 refs.

Bureaucratic power in note-writing: authoritative expertise within the state.

Science.gov (United States)

Mangset, Marte; Asdal, Kristin

2018-02-24

What produces the power of senior civil servants at ministries of finance, positioned at the top of the bureaucratic hierarchy? Max Weber has claimed that a hierarchical organization, meritocratic recruitment and procedural work provide bureaucracies with legitimacy. In particular he insisted on the role of Fachwissen (disciplinary knowledge) obtained through formal education. However, he also argued for the role of Dienstwissen, forms of knowledge and skills stemming from the experience of service in itself. Weber did not elaborate on this concept in detail, and few analysts of governmental expertise have examined this notion. We draw on the practice-turn in sociology, combining the study of governmental expertise with micro-sociological studies of administrative practices. By analysing interviews with 48 senior civil servants at the British, French and Norwegian ministries of finance about their daily practices, this article demonstrates that bureaucratic note-writing and the procedural evaluation of such notes constitute a key form of expertise that yields authority. The study provides an analytical framework for understanding what administrative expertise consists of, how it is integral to procedural work, the forms bureaucratic hierarchies take in practice and how these three dimensions provide authority. © London School of Economics and Political Science 2018.

Alcoholism detection in magnetic resonance imaging by Haar wavelet transform and back propagation neural network

Science.gov (United States)

Yu, Yali; Wang, Mengxia; Lima, Dimas

2018-04-01

In order to develop a novel alcoholism detection method, we proposed a magnetic resonance imaging (MRI)-based computer vision approach. We first use contrast equalization to increase the contrast of brain slices. Then, we perform Haar wavelet transform and principal component analysis. Finally, we use back propagation neural network (BPNN) as the classification tool. Our method yields a sensitivity of 81.71±4.51%, a specificity of 81.43±4.52%, and an accuracy of 81.57±2.18%. The Haar wavelet gives better performance than db4 wavelet and sym3 wavelet.

Expertise synthesis on the CSPE

International Nuclear Information System (INIS)

Blonde, G.; Poizat, F.

2008-01-01

This document presents a synthesis of the results of an expertise realized on the CSPE, the compensation tax of the electric public service. This tax concerns the management of the electricity production additional costs in isolated areas, the solidarity, a policy to favor the energy efficiency and the renewable energies. The document explains the historical aspects of the tax elaboration, its financial importance, the consequences and the impacts on the competition. (A.L.B.)

Musical expertise and the ability to imagine loudness.

Directory of Open Access Journals (Sweden)

Laura Bishop

Full Text Available Most perceived parameters of sound (e.g. pitch, duration, timbre can also be imagined in the absence of sound. These parameters are imagined more veridically by expert musicians than non-experts. Evidence for whether loudness is imagined, however, is conflicting. In music, the question of whether loudness is imagined is particularly relevant due to its role as a principal parameter of performance expression. This study addressed the hypothesis that the veridicality of imagined loudness improves with increasing musical expertise. Experts, novices and non-musicians imagined short passages of well-known classical music under two counterbalanced conditions: 1 while adjusting a slider to indicate imagined loudness of the music and 2 while tapping out the rhythm to indicate imagined timing. Subtests assessed music listening abilities and working memory span to determine whether these factors, also hypothesised to improve with increasing musical expertise, could account for imagery task performance. Similarity between each participant's imagined and listening loudness profiles and reference recording intensity profiles was assessed using time series analysis and dynamic time warping. The results suggest a widespread ability to imagine the loudness of familiar music. The veridicality of imagined loudness tended to be greatest for the expert musicians, supporting the predicted relationship between musical expertise and musical imagery ability.

Musical expertise and the ability to imagine loudness.

Science.gov (United States)

Bishop, Laura; Bailes, Freya; Dean, Roger T

2013-01-01

Most perceived parameters of sound (e.g. pitch, duration, timbre) can also be imagined in the absence of sound. These parameters are imagined more veridically by expert musicians than non-experts. Evidence for whether loudness is imagined, however, is conflicting. In music, the question of whether loudness is imagined is particularly relevant due to its role as a principal parameter of performance expression. This study addressed the hypothesis that the veridicality of imagined loudness improves with increasing musical expertise. Experts, novices and non-musicians imagined short passages of well-known classical music under two counterbalanced conditions: 1) while adjusting a slider to indicate imagined loudness of the music and 2) while tapping out the rhythm to indicate imagined timing. Subtests assessed music listening abilities and working memory span to determine whether these factors, also hypothesised to improve with increasing musical expertise, could account for imagery task performance. Similarity between each participant's imagined and listening loudness profiles and reference recording intensity profiles was assessed using time series analysis and dynamic time warping. The results suggest a widespread ability to imagine the loudness of familiar music. The veridicality of imagined loudness tended to be greatest for the expert musicians, supporting the predicted relationship between musical expertise and musical imagery ability.

BioNSi: A Discrete Biological Network Simulator Tool.

Science.gov (United States)

Rubinstein, Amir; Bracha, Noga; Rudner, Liat; Zucker, Noga; Sloin, Hadas E; Chor, Benny

2016-08-05

Modeling and simulation of biological networks is an effective and widely used research methodology. The Biological Network Simulator (BioNSi) is a tool for modeling biological networks and simulating their discrete-time dynamics, implemented as a Cytoscape App. BioNSi includes a visual representation of the network that enables researchers to construct, set the parameters, and observe network behavior under various conditions. To construct a network instance in BioNSi, only partial, qualitative biological data suffices. The tool is aimed for use by experimental biologists and requires no prior computational or mathematical expertise. BioNSi is freely available at http://bionsi.wix.com/bionsi , where a complete user guide and a step-by-step manual can also be found.

Varying Use of Conceptual Metaphors across Levels of Expertise in Thermodynamics

Science.gov (United States)

Jeppsson, Fredrik; Haglund, Jesper; Amin, Tamer G.

2015-04-01

Many studies have previously focused on how people with different levels of expertise solve physics problems. In early work, focus was on characterising differences between experts and novices and a key finding was the central role that propositionally expressed principles and laws play in expert, but not novice, problem-solving. A more recent line of research has focused on characterising continuity between experts and novices at the level of non-propositional knowledge structures and processes such as image-schemas, imagistic simulation and analogical reasoning. This study contributes to an emerging literature addressing the coordination of both propositional and non-propositional knowledge structures and processes in the development of expertise. Specifically, in this paper, we compare problem-solving across two levels of expertise-undergraduate students of chemistry and Ph.D. students in physical chemistry-identifying differences in how conceptual metaphors (CMs) are used (or not) to coordinate propositional and non-propositional knowledge structures in the context of solving problems on entropy. It is hypothesised that the acquisition of expertise involves learning to coordinate the use of CMs to interpret propositional (linguistic and mathematical) knowledge and apply it to specific problem situations. Moreover, we suggest that with increasing expertise, the use of CMs involves a greater degree of subjective engagement with physical entities and processes. Implications for research on learning and instructional practice are discussed. Third contribution to special issue entitled: Conceptual metaphor and embodied cognition in science learning

Drawing on a Sculpted Space of Actions : Educating for Expertise while Avoiding a Cognitive Monster

NARCIS (Netherlands)

Keestra, M.

Although expertise is usually considered as a positive outcome of education and practice in domains as varied as sports, science, music and politics, there are also concerns about negative effects of expertise. Since expertise is facilitated largely by implicit, automatic cognitive and brain

Context-specific effects of musical expertise on audiovisual integration

Science.gov (United States)

Bishop, Laura; Goebl, Werner

2014-01-01

Ensemble musicians exchange auditory and visual signals that can facilitate interpersonal synchronization. Musical expertise improves how precisely auditory and visual signals are perceptually integrated and increases sensitivity to asynchrony between them. Whether expertise improves sensitivity to audiovisual asynchrony in all instrumental contexts or only in those using sound-producing gestures that are within an observer's own motor repertoire is unclear. This study tested the hypothesis that musicians are more sensitive to audiovisual asynchrony in performances featuring their own instrument than in performances featuring other instruments. Short clips were extracted from audio-video recordings of clarinet, piano, and violin performances and presented to highly-skilled clarinetists, pianists, and violinists. Clips either maintained the audiovisual synchrony present in the original recording or were modified so that the video led or lagged behind the audio. Participants indicated whether the audio and video channels in each clip were synchronized. The range of asynchronies most often endorsed as synchronized was assessed as a measure of participants' sensitivities to audiovisual asynchrony. A positive relationship was observed between musical training and sensitivity, with data pooled across stimuli. While participants across expertise groups detected asynchronies most readily in piano stimuli and least readily in violin stimuli, pianists showed significantly better performance for piano stimuli than for either clarinet or violin. These findings suggest that, to an extent, the effects of expertise on audiovisual integration can be instrument-specific; however, the nature of the sound-producing gestures that are observed has a substantial effect on how readily asynchrony is detected as well. PMID:25324819

Transformer fault diagnosis using continuous sparse autoencoder.

Science.gov (United States)

Wang, Lukun; Zhao, Xiaoying; Pei, Jiangnan; Tang, Gongyou

2016-01-01

This paper proposes a novel continuous sparse autoencoder (CSAE) which can be used in unsupervised feature learning. The CSAE adds Gaussian stochastic unit into activation function to extract features of nonlinear data. In this paper, CSAE is applied to solve the problem of transformer fault recognition. Firstly, based on dissolved gas analysis method, IEC three ratios are calculated by the concentrations of dissolved gases. Then IEC three ratios data is normalized to reduce data singularity and improve training speed. Secondly, deep belief network is established by two layers of CSAE and one layer of back propagation (BP) network. Thirdly, CSAE is adopted to unsupervised training and getting features. Then BP network is used for supervised training and getting transformer fault. Finally, the experimental data from IEC TC 10 dataset aims to illustrate the effectiveness of the presented approach. Comparative experiments clearly show that CSAE can extract features from the original data, and achieve a superior correct differentiation rate on transformer fault diagnosis.

Optimal Planning Method of On-load Capacity Regulating Distribution Transformers in Urban Distribution Networks after Electric Energy Replacement Considering Uncertainties

Directory of Open Access Journals (Sweden)

Yu Su

2018-06-01

Full Text Available Electric energy replacement is the umbrella term for the use of electric energy to replace oil (e.g., electric automobiles, coal (e.g., electric heating, and gas (e.g., electric cooking appliances, which increases the electrical load peak, causing greater valley/peak differences. On-load capacity regulating distribution transformers have been used to deal with loads with great valley/peak differences, so reasonably replacing conventional distribution transformers with on-load capacity regulating distribution transformers can effectively cope with load changes after electric energy replacement and reduce the no-load losses of distribution transformers. Before planning for on-load capacity regulating distribution transformers, the nodal effective load considering uncertainties within the life cycle after electric energy replacement was obtained by a Monte Carlo method. Then, according to the loss relation between on-load capacity regulating distribution transformers and conventional distribution transformers, three characteristic indexes of annual continuous apparent power curve and replacement criteria for on-load capacity regulating distribution transformers were put forward in this paper, and a set of distribution transformer replaceable points was obtained. Next, based on cost benefit analysis, a planning model of on-load capacity regulating distribution transformers which consists of investment profitability index within the life cycle, investment cost recouping index and capacity regulating cost index was put forward. The branch and bound method was used to solve the planning model within replaceable point set to obtain upgrading and reconstruction scheme of distribution transformers under a certain investment. Finally, planning analysis of on-load capacity regulating distribution transformers was carried out for electric energy replacement points in one urban distribution network under three scenes: certain load, uncertain load and nodal

Investigations on Incipient Fault Diagnosis of Power Transformer Using Neural Networks and Adaptive Neurofuzzy Inference System

Directory of Open Access Journals (Sweden)

Nandkumar Wagh

2014-01-01

Full Text Available Continuity of power supply is of utmost importance to the consumers and is only possible by coordination and reliable operation of power system components. Power transformer is such a prime equipment of the transmission and distribution system and needs to be continuously monitored for its well-being. Since ratio methods cannot provide correct diagnosis due to the borderline problems and the probability of existence of multiple faults, artificial intelligence could be the best approach. Dissolved gas analysis (DGA interpretation may provide an insight into the developing incipient faults and is adopted as the preliminary diagnosis tool. In the proposed work, a comparison of the diagnosis ability of backpropagation (BP, radial basis function (RBF neural network, and adaptive neurofuzzy inference system (ANFIS has been investigated and the diagnosis results in terms of error measure, accuracy, network training time, and number of iterations are presented.

ENHANCING NETWORK SECURITY USING 'LEARNING-FROM-SIGNALS' AND FRACTIONAL FOURIER TRANSFORM BASED RF-DNA FINGERPRINTS

Energy Technology Data Exchange (ETDEWEB)

Buckner, Mark A [ORNL; Bobrek, Miljko [ORNL; Farquhar, Ethan [ORNL; Harmer, Paul K [Air Force Institute of Technology; Temple, Michael A [Air Force Institute of Technology

2011-01-01

Wireless Access Points (WAP) remain one of the top 10 network security threats. This research is part of an effort to develop a physical (PHY) layer aware Radio Frequency (RF) air monitoring system with multi-factor authentication to provide a first-line of defense for network security--stopping attackers before they can gain access to critical infrastructure networks through vulnerable WAPs. This paper presents early results on the identification of OFDM-based 802.11a WiFi devices using RF Distinct Native Attribute (RF-DNA) fingerprints produced by the Fractional Fourier Transform (FRFT). These fingerprints are input to a "Learning from Signals" (LFS) classifier which uses hybrid Differential Evolution/Conjugate Gradient (DECG) optimization to determine the optimal features for a low-rank model to be used for future predictions. Results are presented for devices under the most challenging conditions of intra-manufacturer classification, i.e., same-manufacturer, same-model, differing only in serial number. The results of Fractional Fourier Domain (FRFD) RF-DNA fingerprints demonstrate significant improvement over results based on Time Domain (TD), Spectral Domain (SD) and even Wavelet Domain (WD) fingerprints.

2004-2015 A decade of expertise on climate economics

International Nuclear Information System (INIS)

Ducret, Pierre; Leguet, Benoit

2015-01-01

I4CE - the Institute for Climate Economics is an initiative of the Caisse des Depots, which continues to support it, and the Agence Francaise de Developpement, which has joined this project, giving the Institute a strong international dimension. The two major French public financial institutions are thus joining forces to create a real think tank, open to other partnerships. From the outset, I4CE benefits from the expertise and reputation which CDC Climat Research has acquired over ten years through its publicly available research, its discussions with public and private decision makers, and its research partnerships with other teams in France, Europe and around the world. I4CE aims at strengthening this independent economic expertise and increasing its influence. The creation of I4CE in 2015 is a step towards creating an agenda of solutions for the climate. I4CE hopes that its work will feed into efforts by France and international negotiators to reach an agreement in Paris in December 2015. However, I4CE has long believed that the transition towards a 'de-carbonised' economy which is resilient to climate change does not depend solely upon work by governments. I4CE believes that three other categories of stakeholders are just as essential for ensuring that this change is successful: - the industrial sector, and the energy sector in particular, the speed of transformation of which will depend greatly upon the inclusion of a carbon price in its model; - the finance sector which now must incorporate the 2 deg. C objective into the way in which it allocates capital; - regional stakeholders which decide on the future of cities, agriculture and forestry. I4CE has developed and organised its research programme for the coming years around these three areas, with the aim of providing its partners with the keys to understanding and decision making, acting as a meeting point for the best academic work and the constraints of political and economic action. This

Post-synthetic transformation of a Zn(ii) polyhedral coordination network into a new supramolecular isomer of HKUST-1.

Science.gov (United States)

Chen, Yao; Wojtas, Lukasz; Ma, Shengqian; Zaworotko, Michael J; Zhang, Zhenjie

2017-08-03

A Zn-based porphyrin containing metal-organic material (porphMOM-1) was transformed into a novel Cu-based porphyrin-encapsulating metal-organic material (porph@HKUST-1-β) via a one-pot post-synthetic modification (PSM) process involving both metal ion exchange and linker installation of trimesic acid. HKUST-1-β is the first example of yao topology and is to our knowledge the first supramolecular isomer of the archetypal coordination network HKUST-1.

Processes mediating expertise in air traffic control

NARCIS (Netherlands)

Van Meeuwen, Ludo; Jarodzka, Halszka; Brand-Gruwel, Saskia; Van Merriënboer, Jeroen; De Bock, Jeano; Kirschner, Paul A.

2011-01-01

Van Meeuwen, L. W., Jarodzka, H., Brand-Gruwel, S., Van Merriënboer, J. J. G., De Bock, J. J. P. R., & Kirschner, P. A. (2010, September). Processes mediating expertise in air traffic control. Poster presented at the European Association for Aviation Psychology Conference, Budapest.

Motor Fault Diagnosis Based on Short-time Fourier Transform and Convolutional Neural Network

Science.gov (United States)

Wang, Li-Hua; Zhao, Xiao-Ping; Wu, Jia-Xin; Xie, Yang-Yang; Zhang, Yong-Hong

2017-11-01

With the rapid development of mechanical equipment, the mechanical health monitoring field has entered the era of big data. However, the method of manual feature extraction has the disadvantages of low efficiency and poor accuracy, when handling big data. In this study, the research object was the asynchronous motor in the drivetrain diagnostics simulator system. The vibration signals of different fault motors were collected. The raw signal was pretreated using short time Fourier transform (STFT) to obtain the corresponding time-frequency map. Then, the feature of the time-frequency map was adaptively extracted by using a convolutional neural network (CNN). The effects of the pretreatment method, and the hyper parameters of network diagnostic accuracy, were investigated experimentally. The experimental results showed that the influence of the preprocessing method is small, and that the batch-size is the main factor affecting accuracy and training efficiency. By investigating feature visualization, it was shown that, in the case of big data, the extracted CNN features can represent complex mapping relationships between signal and health status, and can also overcome the prior knowledge and engineering experience requirement for feature extraction, which is used by traditional diagnosis methods. This paper proposes a new method, based on STFT and CNN, which can complete motor fault diagnosis tasks more intelligently and accurately.

Networked professional learning : relating the formal and the informal

NARCIS (Netherlands)

Vaessen, M.; Beemt, van den A.A.J.; Laat, de M.

2014-01-01

The increasing complexity of the workplace environment requires teachers and professionals in general to tap into their social networks, inside and outside circles of direct colleagues and collaborators, for finding appropriate knowledge and expertise. This collective process of sharing and

Enhancing the Functional Content of Eukaryotic Protein Interaction Networks

Science.gov (United States)

Pandey, Gaurav; Arora, Sonali; Manocha, Sahil; Whalen, Sean

2014-01-01

Protein interaction networks are a promising type of data for studying complex biological systems. However, despite the rich information embedded in these networks, these networks face important data quality challenges of noise and incompleteness that adversely affect the results obtained from their analysis. Here, we apply a robust measure of local network structure called common neighborhood similarity (CNS) to address these challenges. Although several CNS measures have been proposed in the literature, an understanding of their relative efficacies for the analysis of interaction networks has been lacking. We follow the framework of graph transformation to convert the given interaction network into a transformed network corresponding to a variety of CNS measures evaluated. The effectiveness of each measure is then estimated by comparing the quality of protein function predictions obtained from its corresponding transformed network with those from the original network. Using a large set of human and fly protein interactions, and a set of over GO terms for both, we find that several of the transformed networks produce more accurate predictions than those obtained from the original network. In particular, the measure and other continuous CNS measures perform well this task, especially for large networks. Further investigation reveals that the two major factors contributing to this improvement are the abilities of CNS measures to prune out noisy edges and enhance functional coherence in the transformed networks. PMID:25275489

Application of teleoperator expertise to robotics

International Nuclear Information System (INIS)

Grisham, D.L.; Lambert, J.E.

1985-01-01

This paper will briefly describe the evolution of Monitor remote handling system and its present capabilities and accomplishments. It will also suggest that the equipment and operational expertise can be applied to robotic systems in radioactive and other hostile environments. The Monitor methods of operation, tooling devised and employed, and the applications of these methods to robotic systems will be described

A sociological analysis of ethical expertise: The case of bioethics

Directory of Open Access Journals (Sweden)

Nathan Emmerich

2016-12-01

Full Text Available This paper examines the question of ethical expertise and does so in the context of bioethics or, more accurately, applied ethics and the ethical governance of the life sciences. This analysis builds on a perspective set out in a previous paper and develops it further such that it relates to democratic processes. I argue that the academic practice of applied ethics exhibits a particular logic, way of thinking or eidos. Drawing on work in the history of science I present the logic of this practice as underpinned by a particular set of values or ethos. This can be contrasted with what Bernstein calls the democratic ethos as well as that of everyday moral agents. Using the framework of expertise developed by Collins and Evan’s—which differentiates between ubiquitous, contributory, and interactional expertise—I suggest that (bioethicists should modulate their expertise depending on the particular nature of the fora—academic, public, and policy-making—they are speaking in.

Anticipatory Governance: Bioethical Expertise for Human/Animal Chimeras

Science.gov (United States)

Harvey, Alison; Salter, Brian

2012-01-01

The governance demands generated by the use of human/animal chimeras in scientific research offer both a challenge and an opportunity for the development of new forms of anticipatory governance through the novel application of bioethical expertise. Anticipatory governance can be seen to have three stages of development whereby bioethical experts move from a reactive to a proactive stance at the edge of what is scientifically possible. In the process, the ethicists move upstream in their engagement with the science of human-to-animal chimeras. To what extent is the anticipatory coestablishment of the principles and operational rules of governance at this early stage in the development of the human-to-animal research field likely to result in a framework for bioethical decision making that is in support of science? The process of anticipatory governance is characterised by the entwining of the scientific and the philosophical so that judgements against science are also found to be philosophically unfounded, and conversely, those activities that are permissible are deemed so on both scientific and ethical grounds. Through what is presented as an organic process, the emerging bioethical framework for human-to-animal chimera research becomes a legitimating framework within which ‘good’ science can safely progress. Science gives bioethical expertise access to new governance territory; bioethical expertise gives science access to political acceptability. PMID:23576848

Assessing expertise in introductory physics using categorization task

Directory of Open Access Journals (Sweden)

Andrew Mason

2011-10-01

Full Text Available The ability to categorize problems based upon underlying principles, rather than surface features or contexts, is considered one of several proxy predictors of expertise in problem solving. With inspiration from the classic study by Chi, Feltovich, and Glaser, we assess the distribution of expertise among introductory physics students by asking three introductory physics classes, each with more than a hundred students, to categorize mechanics problems based upon similarity of solution. We compare their categorization with those of physics graduate students and faculty members. To evaluate the effect of problem context on students’ ability to categorize, two sets of problems were developed for categorization. Some problems in one set included those available from the prior study by Chi et al. We find a large overlap between calculus-based introductory students and graduate students with regard to their categorizations that were assessed as “good.” Our findings, which contrast with those of Chi et al., suggest that there is a wide distribution of expertise in mechanics among introductory and graduate students. Although the categorization task is conceptual, introductory students in the calculus-based course performed better than those in the algebra-based course. Qualitative trends in categorization of problems are similar between the non-Chi problems and problems available from the Chi study used in our study although the Chi problems used are more difficult on average.

Modelling the continuous cooling transformation diagram of engineering steels using neural networks. Part II. Microstructure and hardness

Energy Technology Data Exchange (ETDEWEB)

Wolk, P.J. van der; Wang, J. [Delft Univ. of Technology (Netherlands); Sietsma, J.; Zwaag, S. van der [Delft Univ. of Technology, Lab. for Materials Science (Netherlands)

2002-12-01

The neural network model of Van der Wolk et al. (2002) describes the effect of composition on the phase regions of the continuous cooling transformation (CCT) diagram, yet does not consider the fractions of microstructural components and the hardness data that are often quoted in CCT diagrams. In the present paper, the construction of two more neural network models, one for the fractions of ferrite, pearlite, bainite and martensite in the microstructure, and one for the hardness after cooling, using the data of 338 and 412 diagrams, respectively. The accuracy of each model was found to be similar to the expected experimental error; moreover, the models were found to be mutually consistent, although they have been constructed independently. Furthermore, the trends in these properties for alloying elements can be quantified with the models, and are largely in line with metallurgical expectations. (orig.)

Expertise dissimilarity and creativity: the contingent roles of tacit and explicit knowledge sharing.

Science.gov (United States)

Huang, Xu; Hsieh, J J Po-An; He, Wei

2014-09-01

In this study, we investigated whether team-level knowledge sharing moderates the effects of individual-level expertise dissimilarity on individual employees' creativity in research and development (R&D) project teams. Expertise dissimilarity--defined as the difference in expertise and knowledge between a focal team member and her or his fellow team members--was operationalized in terms of the research department to which each member belonged. In Study 1, multilevel analyses of data collected from 200 members of 40 R&D project teams in a telecommunications company revealed that a team member with expertise dissimilar to that of her or his teammates was more likely to exhibit creativity when the project team as a whole engaged in higher levels of tacit, rather than explicit, knowledge sharing. In contrast, a member whose expertise was similar to that of her or his teammates was more likely to exhibit creative behavior when the team engaged in higher levels of explicit, rather than tacit, knowledge sharing. These findings were largely replicated in Study 2 using data collected from 82 members of 25 project teams from another telecommunications company. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Smart grids - French Expertise

International Nuclear Information System (INIS)

2015-11-01

The adaptation of electrical systems is the focus of major work worldwide. Bringing electricity to new territories, modernizing existing electricity grids, implementing energy efficiency policies and deploying renewable energies, developing new uses for electricity, introducing electric vehicles - these are the challenges facing a multitude of regions and countries. Smart Grids are the result of the convergence of electrical systems technologies with information and communications technologies. They play a key role in addressing the above challenges. Smart Grid development is a major priority for both public and private-sector actors in France. The experience of French companies has grown with the current French electricity system, a system that already shows extensive levels of 'intelligence', efficiency and competitiveness. French expertise also leverages substantial competence in terms of 'systems engineering', and can provide a tailored response to meet all sorts of needs. French products and services span all the technical and commercial building blocks that make up the Smart Grid value chain. They address the following issues: Improving the use and valuation of renewable energies and decentralized means of production, by optimizing the balance between generation and consumption. Strengthening the intelligence of the transmission and distribution grids: developing 'Supergrid', digitizing substations in transmission networks, and automating the distribution grids are the focus of a great many projects designed to reinforce the 'self-healing' capacity of the grid. Improving the valuation of decentralized flexibilities: this involves, among others, deploying smart meters, reinforcing active energy efficiency measures, and boosting consumers' contribution to grid balancing, via practices such as demand response which implies the aggregation of flexibility among residential, business, and/or industrial sites. Addressing current technological challenges, in

Musical expertise and foreign speech perception.

Science.gov (United States)

Martínez-Montes, Eduardo; Hernández-Pérez, Heivet; Chobert, Julie; Morgado-Rodríguez, Lisbet; Suárez-Murias, Carlos; Valdés-Sosa, Pedro A; Besson, Mireille

2013-01-01

The aim of this experiment was to investigate the influence of musical expertise on the automatic perception of foreign syllables and harmonic sounds. Participants were Cuban students with high level of expertise in music or in visual arts and with the same level of general education and socio-economic background. We used a multi-feature Mismatch Negativity (MMN) design with sequences of either syllables in Mandarin Chinese or harmonic sounds, both comprising deviants in pitch contour, duration and Voice Onset Time (VOT) or equivalent that were either far from (Large deviants) or close to (Small deviants) the standard. For both Mandarin syllables and harmonic sounds, results were clear-cut in showing larger MMNs to pitch contour deviants in musicians than in visual artists. Results were less clear for duration and VOT deviants, possibly because of the specific characteristics of the stimuli. Results are interpreted as reflecting similar processing of pitch contour in speech and non-speech sounds. The implications of these results for understanding the influence of intense musical training from childhood to adulthood and of genetic predispositions for music on foreign language perception are discussed.

Musical expertise and foreign speech perception

Directory of Open Access Journals (Sweden)

Eduardo eMartínez-Montes

2013-11-01

Full Text Available The aim of this experiment was to investigate the influence of musical expertise on the automatic perception of foreign syllables and harmonic sounds. Participants were Cuban students with high level of expertise in music or in visual arts and with the same level of general education and socio-economic background. We used a multi-feature Mismatch Negativity (MMN design with sequences of either syllables in Mandarin Chinese or harmonic sounds, both comprising deviants in pitch contour, duration and Voice Onset Time (VOT or equivalent that were either far from (Large deviants or close to (Small deviants the standard. For both Mandarin syllables and harmonic sounds, results were clear-cut in showing larger MMNs to pitch contour deviants in musicians than in visual artists. Results were less clear for duration and VOT deviants, possibly because of the specific characteristics of the stimuli. Results are interpreted as reflecting similar processing of pitch contour in speech and non-speech sounds. The implications of these results for understanding the influence of intense musical training from childhood to adulthood and of genetic predispositions for music on foreign language perception is discussed.

Rapid identification and classification of Listeria spp. and serotype assignment of Listeria monocytogenes using fourier transform-infrared spectroscopy and artificial neural network analysis

Science.gov (United States)

The use of Fourier Transform-Infrared Spectroscopy (FT-IR) in conjunction with Artificial Neural Network software, NeuroDeveloper™ was examined for the rapid identification and classification of Listeria species and serotyping of Listeria monocytogenes. A spectral library was created for 245 strains...

Universities and the Public Recognition of Expertise

Science.gov (United States)

Arnoldi, Jakob

2007-01-01

This article argues that new sites of knowledge production, increasingly cultivated by the mass media, are threatening the role of academics and universities as traditional sources of expertise. Drawing upon the conceptual categories of Pierre Bourdieu, the article suggests an alternative way of understanding this "crisis of legitimacy."

Environmental cost of distribution transformer losses

International Nuclear Information System (INIS)

Georgilakis, Pavlos S.

2011-01-01

Improvements in energy efficiency of electrical equipment reduce the greenhouse gas (GHG) emissions and contribute to the protection of the environment. Moreover, as system investment and energy costs continue to increase, electric utilities are increasingly interested in installing energy-efficient transformers at their distribution networks. This paper analyzes the impact of the environmental cost of transformer losses on the economic evaluation of distribution transformers. This environmental cost is coming form the cost to buy GHG emission credits because of the GHG emissions associated with supplying transformer losses throughout the transformer lifetime. Application results on the Hellenic power system for 21 transformer offers under 9 different scenarios indicate that the environmental cost of transformer losses can reach on average 34% and 8% of transformer purchasing price for high loss and medium loss transformers, respectively. That is why it is important to incorporate the environmental cost of transformer losses into the economic evaluation of distribution transformers.

New York hospital group striving for brand recognition. HealthStar Network.

Science.gov (United States)

Herreria, J

1998-01-01

HealthStar Network established a new concept in its eastern market--a group of hospitals forming one association. Marketers of HealthStar are conducting a branding campaign to distinguish individual expertise under one umbrella company.

Dual-Frequency Impedance Transformer Using Coupled-Line For Ultra-High Transforming Ratio

Directory of Open Access Journals (Sweden)

R. K. Barik

2017-12-01

Full Text Available In this paper, a new type of dual-frequency impedance transformer is presented for ultra-high transforming ratio. The proposed configuration consists of parallel coupled-line, series transmission lines and short-ended stubs. The even and odd-mode analysis is applied to obtain the design equations and hence to provide an accurate solution. Three examples of the dual-frequency transformer with load impedance of 500, 1000 and 1500 Ω are designed to study the matching capability and bandwidth property. To prove the frequency agility of the proposed network, three prototypes of dual-frequency impedance transformer with transforming ratio of 10, 20 and 30 are fabricated and tested. The measured return loss is greater than 15 dB at two operating frequencies for all the prototypes. Also, the bandwidth is more than 60 MHz at each frequency band for all the prototypes. The measured return loss is found in good agreement with the circuit and full-wave simulations.

The mediatization of health expertise

DEFF Research Database (Denmark)

Christensen, Christa Lykke

2016-01-01

, the article is informed by ‘mediatization’ theory and demonstrates how television influences changes to the discursive construction of Health and health expertise in factual programming in this 20-year period. The analysis demonstrates how early factual programmes were dominated by information on illness......This article concerns the Danish public service broadcaster, Danmark Radio, and the programmes on health it produced from 1990 to 2010. It applies a historical perspective and, methodologically, the study is based on a qualitative content analysis of selected health programmes. Theoretically...

Processes mediating expertise in air traffic control

NARCIS (Netherlands)

Van Meeuwen, Ludo; Jarodzka, Halszka; Brand-Gruwel, Saskia; Van Merriënboer, Jeroen; De Bock, Jeano; Kirschner, Paul A.

2010-01-01

Van Meeuwen, L., Jarodzka, H., Brand-Gruwel, S., Van Merriënboer, J. J. G., De Bock, J. J. P. R., & Kirschner, P. A. (2010, August). Processes mediating expertise in air traffic control. Meeting of the EARLI SIG6/7 Instructional Design and Learning and Instruction with Computers, Ulm, Germany.

A simple structure wavelet transform circuit employing function link neural networks and SI filters

Science.gov (United States)

Mu, Li; Yigang, He

2016-12-01

Signal processing by means of analog circuits offers advantages from a power consumption viewpoint. Implementing wavelet transform (WT) using analog circuits is of great interest when low-power consumption becomes an important issue. In this article, a novel simple structure WT circuit in analog domain is presented by employing functional link neural network (FLNN) and switched-current (SI) filters. First, the wavelet base is approximated using FLNN algorithms for giving a filter transfer function that is suitable for simple structure WT circuit implementation. Next, the WT circuit is constructed with the wavelet filter bank, whose impulse response is the approximated wavelet and its dilations. The filter design that follows is based on a follow-the-leader feedback (FLF) structure with multiple output bilinear SI integrators and current mirrors as the main building blocks. SI filter is well suited for this application since the dilation constant across different scales of the transform can be precisely implemented and controlled by the clock frequency of the circuit with the same system architecture. Finally, to illustrate the design procedure, a seventh-order FLNN-approximated Gaussian wavelet is implemented as an example. Simulations have successfully verified that the designed simple structure WT circuit has low sensitivity, low-power consumption and litter effect to the imperfections.

Using social media for asynchronous collaboration within collaborative networks

NARCIS (Netherlands)

Sturkenboom, N.; Baha, S.E.; Lu, Y.; Tempesta, G.; Melkas, H.; Buur, J.

2013-01-01

Societal challenges of today (e.g. aging) are complex and often require systemic solutions to be addressed. To address these challenges, various expertise and knowledge are required; in this sense, collaborative network projects have a lot of potential in offering a systemic solution. Design

Institutionalized Ignorance as a Precondition for Rational Risk Expertise

DEFF Research Database (Denmark)

Merkelsen, Henrik

2011-01-01

the lowest organizational level, where concrete risks occur, to the highest organizational level, where the body of professional risk expertise is situated. The article emphasizes the role of knowledge, responsibility, loyalty, and trust as risk-attenuation factors and concludes by suggesting......The present case study seeks to explain the conditions for experts’ rational risk perception by analyzing the institutional contexts that constitute a field of food safety expertise in Denmark. The study highlights the role of risk reporting and how contextual factors affect risk reporting from...... that the preconditions for the expert's rationality may rather be a lack of risk-specific knowledge due to poor risk reporting than a superior level of risk knowledge....

Research on two-port network of wavelet transform processor using surface acoustic wavelet devices and its application.

Science.gov (United States)

Liu, Shoubing; Lu, Wenke; Zhu, Changchun

2017-11-01

The goal of this research is to study two-port network of wavelet transform processor (WTP) using surface acoustic wave (SAW) devices and its application. The motive was prompted by the inconvenience of the long research and design cycle and the huge research funding involved with traditional method in this field, which were caused by the lack of the simulation and emulation method of WTP using SAW devices. For this reason, we introduce the two-port network analysis tool, which has been widely used in the design and analysis of SAW devices with uniform interdigital transducers (IDTs). Because the admittance parameters calculation formula of the two-port network can only be used for the SAW devices with uniform IDTs, this analysis tool cannot be directly applied into the design and analysis of the processor using SAW devices, whose input interdigital transducer (IDT) is apodized weighting. Therefore, in this paper, we propose the channel segmentation method, which can convert the WTP using SAW devices into parallel channels, and also provide with the calculation formula of the number of channels, the number of finger pairs and the static capacitance of an interdigital period in each parallel channel firstly. From the parameters given above, we can calculate the admittance parameters of the two port network for each channel, so that we can obtain the admittance parameter of the two-port network of the WTP using SAW devices on the basis of the simplification rule of parallel two-port network. Through this analysis tool, not only can we get the impulse response function of the WTP using SAW devices but we can also get the matching circuit of it. Large numbers of studies show that the parameters of the two-port network obtained by this paper are consistent with those measured by network analyzer E5061A, and the impulse response function obtained by the two-port network analysis tool is also consistent with that measured by network analyzer E5061A, which can meet the

Cognitive and neuronal bases of expertise

OpenAIRE

Campitelli, Guillermo

2003-01-01

This thesis examines the cognitive and neural bases of expertise. In so doing, several psychological phenomena were investigated-imagery. memory and thinking-using different tasks, and a variety of techniques of data gathering, including standard behavioural experiments, questionnaires, eye-movement recording, and functional magnetic resonance imaging (fMRI). Chess players participated in all the studies, and chess tasks were used. The data confirmed the versatility and power of chess as ...

On the Dynamics of Building Systems of Scientific Expertise: The Case of Ionizing Radiation

International Nuclear Information System (INIS)

Boudia, Soraya

2008-01-01

An examination of historical work shows that several systems of scientific expertise were shaped by public controversies. Taking the case of the health and environmental hazards of radioactivity as an example, this articles seeks to account for a twofold dynamic at work in building and/or reconfiguring systems of scientific expertise: expertise either as a resource to manage public mobilisation or as vector whereby some of the criticisms are incorporated into existing institutional systems by reconfiguring them or setting up new organisations

[Consistency and Reliability of MDK Expertise Examining the Encoding in the German DRG System].

Science.gov (United States)

Gaertner, T; Lehr, F; Blum, B; van Essen, J

2015-09-01

Hospital inpatient stays are reimbursed on the basis of German diagnosis-related groups (G-DRG). The G-DRG classification system is based on complex coding guidelines. The Medical Review Board of the Statutory Health Insurance Funds (MDK) examines the encoding by hospitals and delivers individual expertises on behalf of the German statutory health insurance companies in cases in which irregularities are suspected. A study was conducted on the inter-rater reliability of the MDK expertises regarding the scope of the assessment. A representative sample of 212 MDK expertises was taken from a selected pool of 1 392 MDK expertises in May 2013. This representative sample underwent a double-examination by 2 independent MDK experts using a special software based on the 3MTM G-DRG Grouper 2013 of 3M Medica, Germany. The following items encoded by the hospitals were examined: DRG, principal diagnosis, secondary diagnoses, procedures and additional payments. It was analysed whether the results of MDK expertises were consistent, reliable and correct. 202 expertises were eligible for evaluation, containing a total of 254 questions regarding one or more of the 5 items encoded by hospitals. The double-examination by 2 independent MDK experts showed matching results in 187 questions (73.6%) meaning they had been examined consistently and correctly. 59 questions (23.2%) did not show matching results, nevertheless they had been examined correctly regarding the scope of the assessment. None of the principal diagnoses was significantly affected by inconsistent or wrong judgment. A representative sample of MDK expertises examining the DRG encoding by hospitals showed a very high percentage of correct examination by the MDK experts. Identical MDK expertises cannot be achieved in all cases due to the scope of the assessment. Further improvement and simplification of codes and coding guidelines are required to reduce the scope of assessment with regard to correct DRG encoding and its

[The genesis, system, functions, and tendencies in the development of forensic expertise].

Science.gov (United States)

Rossinskaya, E R

The author considers the main landmarks in the formation and development of the science of forensic expertise and related activities. Special attention is given to the necessity of increasing knowledge and skills in judicial proceedings, further elaboration and perfection of the theory and practice of forensic expertise to meet the requirements put forward by the XXIth century. It is emphasized that this work is needed to lay the foundation for the creation of the self-consistent science - forensic expertology, based on the interdisciplinary general theory of forensic expertise. The author builds up the definition of the subject of forensic expertology taking into consideration the basic issues studied by this science. The scientific paradigm, its functions, tendencies and prospects for its further development are substantiated.

Conceptualizing and Advancing Research Networking Systems.

Science.gov (United States)

Schleyer, Titus; Butler, Brian S; Song, Mei; Spallek, Heiko

2012-03-01

Science in general, and biomedical research in particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems (RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. The research agenda covers four areas: foundations, presentation, architecture , and evaluation . Foundations includes project-, institution- and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests. Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers' need for comprehensive information and potential collaborators' desire to control how they are seen by others; and the need to support serendipitous discovery of collaborative opportunities. Architecture considers aggregation and synthesis of information from multiple sources, social system interoperability, and integration with the user's primary work context. Lastly, evaluation focuses on assessment of collaboration decisions, measurement of user-specific costs and benefits, and how the large-scale impact of RNS could be evaluated with longitudinal and naturalistic methods. We hope that this article stimulates the human-computer interaction, computer-supported cooperative work, and related communities to pursue a broad and comprehensive agenda for developing research networking systems.

Conceptualizing and Advancing Research Networking Systems

Science.gov (United States)

SCHLEYER, TITUS; BUTLER, BRIAN S.; SONG, MEI; SPALLEK, HEIKO

2013-01-01

Science in general, and biomedical research in particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems (RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. The research agenda covers four areas: foundations, presentation, architecture, and evaluation. Foundations includes project-, institution- and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests. Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers’ need for comprehensive information and potential collaborators’ desire to control how they are seen by others; and the need to support serendipitous discovery of collaborative opportunities. Architecture considers aggregation and synthesis of information from multiple sources, social system interoperability, and integration with the user’s primary work context. Lastly, evaluation focuses on assessment of collaboration decisions, measurement of user-specific costs and benefits, and how the large-scale impact of RNS could be evaluated with longitudinal and naturalistic methods. We hope that this article stimulates the human-computer interaction, computer-supported cooperative work, and related communities to pursue a broad and comprehensive agenda for developing research networking systems. PMID:24376309

Local stakeholder involvement in the perspective of nuclear waste management: lessons form the Cowam network

International Nuclear Information System (INIS)

Heriard Dubreuil, G.; Gadbois, S.

2004-01-01

The management of high level radioactive waste is nowadays recognised as a complex decision-making process entailing technical, environmental, ethical, social, political and economic dimensions where no solution can be reached solely on the basis of technical considerations. While this issue is acknowledged as a problem for the community as a whole, waste management remains a global problem looking for a local solution. Starting from this view, COWAM network (Community Waste Management), developed under the Fifth Framework Programme of the European Commission, addressed the following objectives: 1) To empower local actors through a networking process; 2) To gather and discuss the available experiences of decision-making processes at the local level within their national context in Europe; 3) To set up an arena for balanced exchanges between local actors, NGOs, regulators and implementers; 4) To promote new approaches to decision-making in national contexts in Europe. COWAM network comprises 230 delegates from 10 European countries, involving in priority local communities and NGOs. The emphasis put on the local participation enabled members of COWAM network to overcome distrust and to build common lessons and views beyond usual stakeholder positions. Through the analysis of case studies different issues were identified, among them two relate more specifically to: 1) Expertise what is the purpose of expertise on environmental impact in the decision-making process? How is this expertise linked with other scientific and non scientific issues? What is the role of stakeholders in expertise? 2) Environmental quality in the long term and sustainable development how is the impact of radioactive waste management facilities on the environment in the long term taken into account? how is this associated with the sustainable development of the hosting community? How are local stakeholders involved in these issues and what is the expected benefit from their participation? (author)

Learning and Development Expertise: An Australian Analysis

Science.gov (United States)

Hodge, Steven; Harvey, Jack

2015-01-01

Learning and development (L&D) practitioners draw on a distinctive range of knowledge, skills and techniques in their work. Over the years, there have been attempts to capture this range and identify typical L&D roles. The research presented here was undertaken to identify characteristic areas of expertise (AOEs) of L&D practice in…

Insecure Network, Unknown Connection: Understanding Wi-Fi Privacy Assumptions of Mobile Device Users

Directory of Open Access Journals (Sweden)

Bram Bonné

2017-07-01

Full Text Available Smartphones and other mobile devices have proliferated in the past five years. The expectation of mobile device users to always be online has led to Wi-Fi networks being offered by a variety of providers. Using these networks introduces multiple security risks. In this work, we assess to what extent the privacy stance of mobile device users corresponds with their actual behavior by conducting a study with 108 participants. Our methodology consists of monitoring Wi-Fi networks that the participants’ devices connect to and the connections made by apps on these devices, for a period of 30 days. Afterwards, participants are surveyed about their awareness and privacy sensitiveness. We show that while a higher expertise in computer networks corresponds to more awareness about the connections made by apps, neither this expertise nor the actual privacy stance of the participant translates to better security habits. Moreover, participants in general were unaware about a significant part of connections made by apps on their devices, a matter that is worsened by the fact that one third of Wi-Fi networks that participants connect to do not have any security enabled. Based on our results, we provide recommendations to network providers, developers and users on how to improve Wi-Fi security for mobile devices.

The unrivalled expertise for Pu recycling

International Nuclear Information System (INIS)

Fournier, W.; Pouilloux, M.

1997-01-01

Relying on the outstanding performances of the reprocessing facilities and the growing fabrication facilities, the in-reactor Pu recycling program in France and in other European countries is steadily implemented and has reached full-scale industrial operation. The RCR strategy -Reprocessing, Conditioning and Recycling- developed by COGEMA is now a well proven industrial reality. In 1997, plutonium recycling through MOX fuel is a mature industry, with successful operational experience and large-scale fabrication plants. In this field, COGEMA is the main actor, on operating simultaneously three complete multidesign fuel production plants: MELOX plant (in Marcoule), CADARACHE plant and DESSEL plant (in Belgium). Present MOX production capacity available to COGEMA fits 175 tHM per year and will be extended to reach about 325 tHM in the year 2000, that will represent 75% of the total MOX fabrication capacity in Europe. The industrial mastery and the high production level in MOX production assured by high technology processes confers COGEMA an unrivalled expertise for Pu recycling. This allows COGEMA to be a major actor in Pu-based fuels in the coming second nuclear era with advanced fuel cycles. The paper depicts the steps of the progressive advance of COGEMA to reach the Pu recycling expertise. (author)

How to attain expertise in clinical communication?

Science.gov (United States)

Wouda, Jan C; van de Wiel, Harry B M

2013-12-01

Several factors complicate the attainment of expertise in clinical communication. Medical curricula and postgraduate training insufficiently provide the required learning conditions of deliberate practice to overcome these obstacles. In this paper we provide recommendations for learning objectives and teaching methods for the attainment of professional expertise in patient education. Firstly, we propose to use functional learning objectives derived from the goals and strategies of clinical communication. Secondly, we recommend using teaching and assessment methods which: (1) contain stimulating learning tasks with opportunities for immediate feedback, reflection and corrections, and (2) give ample opportunity for repetition, gradual refinements and practice in challenging situations. Video-on-the-job fits these requirements and can be used to improve the competency in patient education of residents and medical staff in clinical practice. However, video-on-the-job can only be successful if the working environment supports the teaching and learning of communication and if medical staff which supervises the residents, is motivated to improve their own communication and didactic skills. Copyright © 2013 Elsevier Ltd. All rights reserved.

Networked Professional Learning: Relating the Formal and the Informal

Science.gov (United States)

Vaessen, Matthieu; van den Beemt, Antoine; de Laat, Maarten

2014-01-01

The increasing complexity of the workplace environment requires teachers and professionals in general to tap into their social networks, inside and outside circles of direct colleagues and collaborators, for finding appropriate knowledge and expertise. This collective process of sharing and constructing knowledge can be considered "networked…

Analysis of acidic properties of distribution transformer oil insulation ...

African Journals Online (AJOL)

This paper examined the acidic properties of distribution transformer oil insulation in service at Jericho distribution network Ibadan, Nigeria. Five oil samples each from six distribution transformers (DT1, DT2, DT3, DT4 and DT5) making a total of thirty samples were taken from different installed distribution transformers all ...

Harnessing private sector expertise to improve complementary feeding within a regulatory framework: Where is the evidence?

Science.gov (United States)

van Liere, Marti J; Tarlton, Dessie; Menon, Ravi; Yellamanda, M; Reerink, Ietje

2017-10-01

Global recognition that the complex and multicausal problems of malnutrition require all players to collaborate and to invest towards the same objective has led to increased private sector engagement as exemplified through the Scaling Up Nutrition Business Network and mechanisms for blended financing and matched funding, such as the Global Nutrition for Growth Compact. The careful steps made over the past 5 to 10 years have however not taken away or reduced the hesitation and scepticism of the public sector actors towards commercial or even social businesses. Evidence of impact or even a positive contribution of a private sector approach to intermediate nutrition outcomes is still lacking. This commentary aims to discuss the multiple ways in which private sector can leverage its expertise to improve nutrition in general, and complementary feeding in particular. It draws on specific lessons learned in Bangladesh, Côte d'Ivoire, India, Indonesia, and Madagascar on how private sector expertise has contributed, within the boundaries of a regulatory framework, to improve availability, accessibility, affordability, and adequate use of nutritious foods. It concludes that a solid evidence base regarding the contribution of private sector to complementary feeding is still lacking and that the development of a systematic learning agenda is essential to make progress in the area of private sector engagement in nutrition. © 2017 John Wiley & Sons Ltd.

"No level up!": no effects of video game specialization and expertise on cognitive performance.

Science.gov (United States)

Gobet, Fernand; Johnston, Stephen J; Ferrufino, Gabriella; Johnston, Matthew; Jones, Michael B; Molyneux, Antonia; Terzis, Argyrios; Weeden, Luke

2014-01-01

Previous research into the effects of action video gaming on cognition has suggested that long term exposure to this type of game might lead to an enhancement of cognitive skills that transfer to non-gaming cognitive tasks. However, these results have been controversial. The aim of the current study was to test the presence of positive cognitive transfer from action video games to two cognitive tasks. More specifically, this study investigated the effects that participants' expertise and genre specialization have on cognitive improvements in one task unrelated to video gaming (a flanker task) and one related task (change detection task with both control and genre-specific images). This study was unique in three ways. Firstly, it analyzed a continuum of expertise levels, which has yet to be investigated in research into the cognitive benefits of video gaming. Secondly, it explored genre-specific skill developments on these tasks by comparing Action and Strategy video game players (VGPs). Thirdly, it used a very tight experiment design, including the experimenter being blind to expertise level and genre specialization of the participant. Ninety-two university students aged between 18 and 30 (M = 21.25) were recruited through opportunistic sampling and were grouped by video game specialization and expertise level. While the results of the flanker task were consistent with previous research (i.e., effect of congruence), there was no effect of expertise, and the action gamers failed to outperform the strategy gamers. Additionally, contrary to expectation, there was no interaction between genre specialization and image type in the change detection task, again demonstrating no expertise effect. The lack of effects for game specialization and expertise goes against previous research on the positive effects of action video gaming on other cognitive tasks.

L’expertise psychiatrique au service de la gouvernance ? Psychiatric expertise in the service of governance? ¿La pericia psiquiátrica al servicio de la gobernanza?

Directory of Open Access Journals (Sweden)

Olivier Dembinski

2013-03-01

Full Text Available Cet article analyse le processus d’institutionnalisation d’une expertise gestionnaire en psychiatrie dans le cadre du nouveau management public. Portée par des acteurs intéressés à la faire fonctionner, cette expertise est le produit d’une hybridation entre connaissances gestionnaire et médicale. Elle participe aujourd’hui à la construction d’un appareil idéologique d’État dont l’objectif est d’obtenir la rationalisation de l’activité en psychiatrie.The article examines the process by means of which the New Public Management framework institutionalizes management expertise in the field of psychiatry. Conveyed by actors who have a stake in success, such expertise is the product of a hybridization between managerial and medical knowledge. Today it underpins the construction of an ideological state apparatus whose objective is to rationalize certain activities in psychiatry.En este artículo se analiza el proceso de institucionalización de una pericia de gestión en psiquiatría, en el marco del nuevo management público. Esgrimida por actores interesados en hacerla funcionar, dicha pericia es el producto de una hibridación de conocimientos de gestión y medicina. Actualmente contribuye a la construcción de un aparato ideológico de Estado que busca lograr una racionalización de la actividad psiquiátrica.

ENEN - European Nuclear Educational Network Association

International Nuclear Information System (INIS)

De Regge, P.

2006-01-01

After the pioneering initiative of BNEN, the Belgian Nuclear higher Education Network, other countries, e.g. Italy, United Kingdom, Germany, Switzerland, etc., created their own pool of education. At the European level the ENEN Association (European Nuclear Education Network) is a sustainable product generated by an FP5 project. The main objective of the ENEN Association is the preservation and the further development of higher nuclear education and expertise. This objective is realized through the co-operation between European universities, involved in education and research in the nuclear engineering field, nuclear research centres and nuclear industry

Implementing Expertise-Based Training Methods to Accelerate the Development of Peer Academic Coaches

Science.gov (United States)

Blair, Lisa

2016-01-01

The field of expertise studies offers several models from which to develop training programs that accelerate the development of novice performers in a variety of domains. This research study implemented two methods of expertise-based training in a course to develop undergraduate peer academic coaches through a ten-week program. An existing…

Large-Scale Functional Brain Network Reorganization During Taoist Meditation.

Science.gov (United States)

Jao, Tun; Li, Chia-Wei; Vértes, Petra E; Wu, Changwei Wesley; Achard, Sophie; Hsieh, Chao-Hsien; Liou, Chien-Hui; Chen, Jyh-Horng; Bullmore, Edward T

2016-02-01

Meditation induces a distinct and reversible mental state that provides insights into brain correlates of consciousness. We explored brain network changes related to meditation by graph theoretical analysis of resting-state functional magnetic resonance imaging data. Eighteen Taoist meditators with varying levels of expertise were scanned using a within-subjects counterbalanced design during resting and meditation states. State-related differences in network topology were measured globally and at the level of individual nodes and edges. Although measures of global network topology, such as small-worldness, were unchanged, meditation was characterized by an extensive and expertise-dependent reorganization of the hubs (highly connected nodes) and edges (functional connections). Areas of sensory cortex, especially the bilateral primary visual and auditory cortices, and the bilateral temporopolar areas, which had the highest degree (or connectivity) during the resting state, showed the biggest decrease during meditation. Conversely, bilateral thalamus and components of the default mode network, mainly the bilateral precuneus and posterior cingulate cortex, had low degree in the resting state but increased degree during meditation. Additionally, these changes in nodal degree were accompanied by reorganization of anatomical orientation of the edges. During meditation, long-distance longitudinal (antero-posterior) edges increased proportionally, whereas orthogonal long-distance transverse (right-left) edges connecting bilaterally homologous cortices decreased. Our findings suggest that transient changes in consciousness associated with meditation introduce convergent changes in the topological and spatial properties of brain functional networks, and the anatomical pattern of integration might be as important as the global level of integration when considering the network basis for human consciousness.

Responses to a questionnaire on networking between OIE Reference Laboratories and OIE Collaborating Centres.

Science.gov (United States)

Brückner, G K; Linnane, S; Diaz, F; Vallat, B

2007-01-01

Two separate questionnaires were distributed to 20 OIE Collaborating Centres and 160 OIE Reference Laboratories to assess the current status of networking and collaboration among OIE Reference Laboratories and between OIE Reference Laboratories and OIE Collaborating Centres. The questionnaire for the OIE Reference Laboratories contained 7 sections with questions on networking between laboratories, reporting of information, biosecurity quality control, and financing. Emphasis was placed in obtaining information on inter-laboratory relationships and exchange of expertise, training needs and sharing of data and information. The questionnaire for the OIE Collaborating Centres contained six sections with the emphasis on aspects related to awareness of services that can be provided, expertise that could be made available, sharing of information and the relationship with the national veterinary services of the countries concerned. The responses to the questionnaires were collated, categorised and statistically evaluated to allow for tentative inferences on the data provided. Valuable information emanated from the data identifying the current status of networking and indicating possible shortcomings that could be addressed to improve networking.

Instructional Design for Accelerated Macrocognitive Expertise in the Baseball Workplace.

Science.gov (United States)

Fadde, Peter J

2016-01-01

The goal of accelerating expertise can leave researchers and trainers in human factors, naturalistic decision making, sport science, and expertise studies concerned about seemingly insufficient application of expert performance theories, findings and methods for training macrocognitive aspects of human performance. Video-occlusion methods perfected by sports expertise researchers have great instructional utility, in some cases offering an effective and inexpensive alternative to high-fidelity simulation. A key problem for instructional designers seems to be that expertise research done in laboratory and field settings doesn't get adequately translated into workplace training. Therefore, this article presents a framework for better linkage of expertise research/training across laboratory, field, and workplace settings. It also uses a case study to trace the development and implementation of a macrocognitive training program in the very challenging workplace of the baseball batters' box. This training, which was embedded for a full season in a college baseball team, targeted the perceptual-cognitive skill of pitch recognition that allows expert batters to circumvent limitations of human reaction time in order to hit a 90 mile-per-hour slider. While baseball batting has few analogous skills outside of sports, the instructional design principles of the training program developed to improve batting have wider applicability and implications. Its core operational principle, supported by information processing models but challenged by ecological models, decouples the perception-action link for targeted part-task training of the perception component, in much the same way that motor components routinely are isolated to leverage instructional efficiencies. After targeted perceptual training, perception and action were recoupled via transfer-appropriate tasks inspired by in situ research tasks. Using NCAA published statistics as performance measures, the cooperating team

Instructional Design for Accelerated Macrocognitive Expertise in the Baseball Workplace

Directory of Open Access Journals (Sweden)

Peter J. Fadde

2016-03-01

Full Text Available The goal of accelerating expertise can leave researchers and trainers in human factors, naturalistic decision making, sport science, and expertise studies concerned about seemingly insufficient application of expert performance theories, findings and methods for training macrocognitive aspects of human performance. Video-occlusion methods perfected by sports expertise researchers have great instructional utility, in some cases offering an effective and inexpensive alternative to high-fidelity simulation. A key problem for instructional designers seems to be that expertise research done in laboratory and field settings doesn’t get adequately translated into workplace training. Therefore, this article presents a framework for better linkage of expertise research/training across laboratory, field, and workplace settings. It also uses a case study to trace the development and implementation of a macrocognitive training program in the very challenging workplace of the baseball batters’ box. This training, which was embedded for a full season in a college baseball team, targeted the perceptual-cognitive skill of pitch recognition that allows expert batters to circumvent limitations of human reaction time in order to hit a 90 mile-per-hour slider. While baseball batting has few analogous skills outside of sports, the instructional design principles of the training program developed to improve batting have wider applicability and implications. Its core operational principle, supported by information processing models but challenged by ecological models, decouples the perception-action link for targeted part-task training of the perception component, in much the same way that motor components routinely are isolated to leverage instructional efficiencies. After targeted perceptual training, perception and action were recoupled via transfer-appropriate tasks inspired by in situ research tasks. Using NCAA published statistics as performance measures

The changing role of veterinary expertise in the food chain.

Science.gov (United States)

Enticott, Gareth; Donaldson, Andrew; Lowe, Philip; Power, Megan; Proctor, Amy; Wilkinson, Katy

2011-07-12

This paper analyses how the changing governance of animal health has impacted upon veterinary expertise and its role in providing public health benefits. It argues that the social sciences can play an important role in understanding the nature of these changes, but also that their ideas and methods are, in part, responsible for them. The paper begins by examining how veterinary expertise came to be crucial to the regulation of the food chain in the twentieth century. The relationship between the veterinary profession and the state proved mutually beneficial, allowing the state to address the problems of animal health, and the veterinary profession to become identified as central to public health and food supply. However, this relationship has been gradually eroded by the application of neoliberal management techniques to the governance of animal health. This paper traces the impact of these techniques that have caused widespread unease within and beyond the veterinary profession about the consequences for its role in maintaining the public good of animal health. In conclusion, this paper suggests that the development of the social sciences in relation to animal health could contribute more helpfully to further changes in veterinary expertise.

A new kind of uncertainty for a new kind of modernity? Expertise in an age of risk.

Science.gov (United States)

Munk, A.

2009-04-01

Modernity is not what it used to be (see for example Giddens 1991, Beck 1992, Bauman 2000, Luhman 2005). It has, so the sociologists tell us, mutated in order to thrive in a new age of risk and uncertainty. Some might say that it is not quite thriving yet. Whereas old modernity relied on experts to evaluate the problems opposing society and devise solutions for them - savoir pour prevoir, prevoir pour pouvoir - new modernity can no longer indulge in such straightforwardness. The hazards facing us have become so undeniably complex and in multiple ways produced by the very social activities they threaten, that uncontroversial fixes based on indisputable evidence can no longer be assumed. What role for expertise, then, in this increasingly complicated social landscape? As a starting point for thinking about this question, the paper sets out to explore the concept of uncertainty. After all, when it comes to hazards, this is what experts are expected to handle. Has it mutated as well? Does it make sense to speak of a new kind of uncertainty for a new kind of modernity? In its first modernity setting, uncertainty was what had to be transformed into some sort of certainty (see for example Latour 1999). In the case of the inherent uncertainties related to hazards and risk this task was accomplished with the emergence of probability theory and actuarial science (see for example Hacking 1979, 1990). Expertise in old modernity thus acquired a lot of its straightforwardness from its belief in uncomplicating uncertainty by transforming it into certainty. So, why is it still complicated? A crucial point in Latour's argument is that expertise works by reducing complexity in order to amplify facts (certainties). This requires a sense of direction and an agreement as to what is deemed important. Markets, for example, possess this. So do scientific communities and political institutions. But do the combined constituencies implicated by the complex risks facing society possess it

Quasi-static analysis of flexible pavements based on predicted frequencies using Fast Fourier Transform and Artificial Neural Network

Directory of Open Access Journals (Sweden)

Ali Reza Ghanizadeh

2018-01-01

Full Text Available New trend in design of flexible pavements is mechanistic-empirical approach. The first step for applying this method is analyzing the pavement structure for several times and computation of critical stresses and strains, which needs a fast analysis method with good accuracy. This paper aims to introduce a new rapid pavement analysis approach, which can consider the history of loading and rate effect. To this end, 1200 flexible pavement sections were analyzed, and equivalent frequencies (EF were calculated using Fast Fourier Transform (FFT method at various depths of asphalt layer. A nonlinear regression equation has been presented for determining EF at different depths of asphalt layer. For more accurate predicting of EF at low frequencies, a feed-forward Artificial Neural Network (ANN was employed, which allows accurate prediction of EF. The frequencies obtained by the proposed regression equation and ANN were compared with frequencies observed in Virginia Smart Road project, and it was found that there is a good agreement between observed and predicted frequencies. Comparison of quasi-static analysis of flexible pavements by frequencies obtained using FFT method and full dynamic analysis by 3D-Move program approves that the critical responses of pavement computed by proposed quasi-static analysis approach are comparable to critical responses computed using full dynamic analysis. Keywords: Equivalent frequency, Fast Fourier Transform (FFT, Pavement quasi-static analysis, Dynamic modulus, Artificial Neural Network (ANN

The Effect of Domain and Technical Expertise on the Training Outcomes for Case Management Systems in High Domain Expertise Fields

Science.gov (United States)

Epstein, Steven L.

2017-01-01

The successful implementation of an enterprise system requires training and end users in the new systems and procedures. There has been no research reporting a relationship between Domain Expertise (DE) and the successful implementation of an enterprise system. This study sought to begin filling this knowledge gap by exploring the relationship…

AS Migration and Optimization of the Power Integrated Data Network

Science.gov (United States)

Zhou, Junjie; Ke, Yue

2018-03-01

In the transformation process of data integration network, the impact on the business has always been the most important reference factor to measure the quality of network transformation. With the importance of the data network carrying business, we must put forward specific design proposals during the transformation, and conduct a large number of demonstration and practice to ensure that the transformation program meets the requirements of the enterprise data network. This paper mainly demonstrates the scheme of over-migrating point-to-point access equipment in the reconstruction project of power data comprehensive network to migrate the BGP autonomous domain to the specified domain defined in the industrial standard, and to smooth the intranet OSPF protocol Migration into ISIS agreement. Through the optimization design, eventually making electric power data network performance was improved on traffic forwarding, traffic forwarding path optimized, extensibility, get larger, lower risk of potential loop, the network stability was improved, and operational cost savings, etc.

A Review of Frequency Response Analysis Methods for Power Transformer Diagnostics

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Saleh Alsuhaibani

2016-10-01

Full Text Available Power transformers play a critical role in electric power networks. Such transformers can suffer failures due to multiple stresses and aging. Thus, assessment of condition and diagnostic techniques are of great importance for improving power network reliability and service continuity. Several techniques are available to diagnose the faults within the power transformer. Frequency response analysis (FRA method is a powerful technique for diagnosing transformer winding deformation and several other types of problems that are caused during manufacture, transportation, installation and/or service life. This paper provides a comprehensive review on FRA methods and their applications in diagnostics and fault identification for power transformers. The paper discusses theory and applications of FRA methods as well as various issues and challenges faced in the application of this method.

Best Practice for Developmental Stuttering: Balancing Evidence and Expertise

Science.gov (United States)

Byrd, Courtney T.; Donaher, Joseph

2018-01-01

Purpose: Best practice for developmental stuttering remains a topic of debate. In the clinical forum following the introduction, four fluency experts balance the evidence and expertise to describe their approach to assessment and treatment.

Chasing expertise: reappraising the role of intuitive process in creative decisionmaking

OpenAIRE

Melrose, Susan

2015-01-01

What are some of the implications for the ways we think about contemporary dance-making, today, if we start from the premise that while art-making is a mode of work, expertise in that mode of work is rarely thematised in Dance writing - even though that expertise is widely celebrated in the world or worlds of dance and performance? \\ud I asked in the early days of the 21stC why terms like “performance mastery”, “virtuosity” and “disciplinary expertise” figured so rarely in performance and dan...

Prevention of Falls Network Europe: a thematic network aimed at introducing good practice in effective falls prevention across Europe.

Science.gov (United States)

Skelton, D A; Becker, C; Lamb, S E; Close, J C T; Zijlstra, W; Yardley, L; Todd, C J

2004-12-01

The Prevention of Falls Network Europe (ProFaNE) aims to improve quality of life of the ageing population by focussing on a major cause of disability and distress: falls. The thematic network is funded by the European Commission and brings together scientists, clinicians and other health professionals from around Europe to focus on four main themes: taxonomy and coordination of trials, clinical assessment and management of falls, assessment of balance function, and psychological aspects of falling. There are 24 members across Europe as well as network associates who contribute expertise at workshops and meetings. ProFaNE, a 4-year project which started in January 2003, aims to improve and standardise health care processes, introducing and promoting good practice widely across Europe. ProFaNE undertakes workshops that bring together experts and observers around specific topics to exchange knowledge, expertise and resources on interventions that reduce falls. A key document for policy makers around Europe, written by ProFaNE members, was published by the World Health Organisation in March 2004. ProFaNE's website has both public and private areas with resources (web links to falls prevention, useful documents for policy makers, researchers and practitioners) and a discussion board to encourage informal networking between members and the public. The ultimate aim of ProFaNE is to submit a collaborative bid to undertake a multi-centre, randomised controlled trial of a multi-factorial fall prevention intervention with peripheral fracture as the primary outcome. The success of the networking and relationship building in the first year and a half of ProFaNE's work makes this an achievable goal.

Organizational change and human expertise in nuclear power plants

International Nuclear Information System (INIS)

Masson, M.; Malaisc, N.

1992-01-01

Reliability and safety are two very important goals, which depend on technical and organizational factors, but also on human expertise. How to ensure a safe functioning of a nuclear power plant in a changing context, and what might be the role and aspects of training and transfer of knowledge? These are the questions we shall deal with in this paper, on the basis of two field studies. The two field studies stress the needs for setting up case based training, which best ensure the acquisition of know-how. Furthermore, as shown by the second one, gaining expertise involves developing large repertoires of highly skilled, semi-routinized activities. Supporting expert operators not only should tackle problem solving activities but should thus also include the prevention of routine errors, which go along with skill acquisition. (author)

Developing expertise in gynecologic surgery: reflective perspectives of international experts on learning environments and processes

Directory of Open Access Journals (Sweden)

Hardre PL

2017-01-01

Full Text Available Patricia L Hardré,1 Mikio Nihira,2 Edgar L LeClaire3 1Department of Educational Psychology, University of Oklahoma College of Education, Norman, 2Department of Obstetrics and Gynecology, University of Oklahoma College of Medicine, Oklahoma City, OK, 3Department of Obstetrics and Gynecology, University of Kansas College of Medicine, Kansas City, KS, USA Abstract: Research in medical education does not provide a clear understanding of how professional expertise develops among surgeons and what experiential factors contribute to that development. To address this gap, the researchers interviewed 16 international experts in female pelvic medicine and reconstructive surgery to assess their reflective perceptions of what specific opportunities and experiences initiated and supported their development toward expertise in their field. Characteristics and influences explaining the speed and quality of expertise development were sorted into the following themes: the dynamic process of expertise development, internal and personal characteristics, general aptitudes and preparatory skills, role modeling and interpersonal influences, opportunities to learn and practice, and roles and reference points. Across the narratives and perspectives of these expert surgeons, both individual characteristics and choices, and contextual activities and opportunities were necessary and important. Experiences with greatest impact on quality of expertise development included those provided by the environment and mentors, as well as those sought out by learners themselves, to elaborate and supplement existing opportunities. The ideal combination across experts was interaction and integration of individual characteristics with experiential opportunities. Grounded in theory and research in expertise development, these findings can support improvement of medical education, both for individual mentors and strategic program development. As surgery evolves at a continuously

Expertise Effects in Face-Selective Areas are Robust to Clutter and Diverted Attention, but not to Competition.

Science.gov (United States)

McGugin, Rankin Williams; Van Gulick, Ana E; Tamber-Rosenau, Benjamin J; Ross, David A; Gauthier, Isabel

2015-09-01

Expertise effects for nonface objects in face-selective brain areas may reflect stable aspects of neuronal selectivity that determine how observers perceive objects. However, bottom-up (e.g., clutter from irrelevant objects) and top-down manipulations (e.g., attentional selection) can influence activity, affecting the link between category selectivity and individual performance. We test the prediction that individual differences expressed as neural expertise effects for cars in face-selective areas are sufficiently stable to survive clutter and manipulations of attention. Additionally, behavioral work and work using event related potentials suggest that expertise effects may not survive competition; we investigate this using functional magnetic resonance imaging. Subjects varying in expertise with cars made 1-back decisions about cars, faces, and objects in displays containing one or 2 objects, with only one category attended. Univariate analyses suggest car expertise effects are robust to clutter, dampened by reducing attention to cars, but nonetheless more robust to manipulations of attention than competition. While univariate expertise effects are severely abolished by competition between cars and faces, multivariate analyses reveal new information related to car expertise. These results demonstrate that signals in face-selective areas predict expertise effects for nonface objects in a variety of conditions, although individual differences may be expressed in different dependent measures depending on task and instructions. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

TanZamBo Capacity Building for HIV Prevention Research Network ...

International Development Research Centre (IDRC) Digital Library (Canada)

This grant will support the development of HIV/AIDS prevention trial expertise in Botswana, Tanzania and Zambia using existing collaborations between Africa, Canada and the United States. The Botswana-Tanzania-Zambia Capacity Building Network (TanZamBo) is composed of two African institutions with fairly well ...

Transformation embedment of local networks

Directory of Open Access Journals (Sweden)

Weiss Gabriel

1997-12-01

Full Text Available Transformaèné spojenie lokálnych geodetických sietí s nadradenou sieou (napr. ŠTS v S-JTSK nedáva jednoznaèné výsledky. V závislosti od použitých transformaèných faktorov vznikajú na homologických bodoch súradnicové rozpory, ktoré treba dodatoène zoh¾adni pri výpoètoch transformovaných súradníc. Jednou z najvhodnejších transformaèných spojení je tzv. priama (bezrozporová transformácia. Pomocou nej sa získajú priamo definitívne hodnoty transformovaných súradníc.

Optimization of an Efficient Non-Tissue Culture Transformation Method for Brassica Juncea

International Nuclear Information System (INIS)

Naeem, I.; Munir, I.; Iqbal, A.; Ullah, F.

2016-01-01

The major hurdles in successful in vitro transformation of Brassica juncea through standard tissue culture (STC) method are: culture contamination, somaclonal variations, and lack of expertise. Moreover, the current STC method is time consuming and needs continuous electricity. In the present study, the in planta transformation method through floral dip with or without vacuum infiltration was optimized for successful transformation of B. juncea. The B. juncea CV RAYA Anmol was used for transformation through Agrobacterium tumefaciens strain GV3101 harboring the binary vector plasmid pBinGlyBar4-EADcT. Based on the resistance reaction to the herbicide Basta, 20 and 40 resistant seedlings were obtained from 2000 seed germinated from the plants transformed through floral dip and vacuum infiltration methods, respectively. The PCR analyses further confirmed the presence of transgene in 3 floral dipped plants without vacuum infiltration and 17 floral dipped plants with vacuum infiltration, giving the transformation frequencies of 1.5*10/sup -3/ and 8.5*10/sup -3/, respectively. This method, which avoids tissue culture, will reduce the somaclonal variation accompanying prolonged culture of cells in a dedifferentiated state, will facilitate functional genomics and improvement of Brassica juncea with novel desirable traits while reducing time and expense. (author)

The social structural foundations of adaptation and transformation in social-ecological systems

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Michele L. Barnes

2017-12-01

Full Text Available Social networks are frequently cited as vital for facilitating successful adaptation and transformation in linked social-ecological systems to overcome pressing resource management challenges. Yet confusion remains over the precise nature of adaptation vs. transformation and the specific social network structures that facilitate these processes. Here, we adopt a network perspective to theorize a continuum of structural capacities in social-ecological systems that set the stage for effective adaptation and transformation. We begin by drawing on the resilience literature and the multilayered action situation to link processes of change in social-ecological systems to decision making across multiple layers of rules underpinning societal organization. We then present a framework that hypothesizes seven specific social-ecological network configurations that lay the structural foundation necessary for facilitating adaptation and transformation, given the type and magnitude of human action required. A key contribution of the framework is explicit consideration of how social networks relate to ecological structures and the particular environmental problem at hand. Of the seven configurations identified, three are linked to capacities conducive to adaptation and three to transformation, and one is hypothesized to be important for facilitating both processes. We discuss how our theoretical framework can be applied in practice by highlighting existing empirical examples from related environmental governance contexts. Further extension of our hypotheses, particularly as more data become available, can ultimately help guide the design of institutional arrangements to be more effective at dealing with change.

MICROSCOPE mission: drag-free and attitude control system expertise activities toward the scientific team

Science.gov (United States)

Delavault, Stéphanie; Prieur, Pascal; Liénart, Thomas; Robert, Alain; Guidotti, Pierre-Yves

2018-04-01

Microscope is a CNES-ESA-ONERA-CNRS-OCA-DLR-ZARM mission dedicated to the test of the Equivalence Principle with an improved accuracy of 10-15. The 300 kg drag-free microsatellite was launched on April 25th 2016 into a 710 km dawndusk sun-synchronous orbit for a 2-year mission. To comply with stringent requirements, the drag-free and attitude control system (DFACS) involves the scientific accelerometer as main sensor and a set of 8 cold gas proportional thrusters. Once in mission mode, within the CNES drag-free expertise center (CECT) the DFACS team provides several services to the system and to the scientific mission center: cold gas monitoring and management, `Attitude' ancillary data, DFACS expertise ancillary data. For this purpose, expertise tools have been implemented in the CECT, using the flexibility and efficiency of Matlab™ utilities. This paper presents the role of the CECT within the mission and details the expertise activities of the DFACS team illustrated with some typical in flight results.

A Step Forward: Investigating Expertise in Materials Evaluation

Science.gov (United States)

Johnson, Keith; Kim, Mija; Ya-Fang, Liu; Nava, Andrea; Perkins, Dawn; Smith, Anne Margaret; Soler-Canela, Oscar; Lu, Wang

2008-01-01

This article reports on a study investigating the textbook evaluation techniques of novice and experienced teachers, which was conducted by the Language Teaching Expertise Research Group (or LATEX) within Lancaster University's Department of Linguistics and English Language. Three ELT teachers were chosen to evaluate the student and teacher…

Expertise in the Age of Post-Factual politics

DEFF Research Database (Denmark)

Berling, Trine Villumsen; Bueger, Christian

2017-01-01

What has become known as post-factual politics poses particular challenges to the role of expertise, calling for a new type of reflexivity able to inform scholarly strategies towards policy. Taking recent literature on the ‘practice turn’ as our point of departure, we argue for introducing a sens...

Political Expertise and Affect: Effects on News Processing.

Science.gov (United States)

Hsu, Mei-Ling; Price, Vincent

1993-01-01

Investigates interactions between political expertise and affect in shaping cognitive strategies people employ in forming reactions to newspaper stories. Finds that, in processing the news articles, political experts produced a greater number of thoughts and a larger share of arguments than did novices. Observes no predicted main effects of…

The Politics of Financial Regulation Expertise

DEFF Research Database (Denmark)

Ban, Cornel; Seabrooke, Leonard; Freitas, Sarah

Who controls global policy debates on shadow banking regulation? By looking at the policy recommendations of the Bank of International Settlements, the International Monetary Fund and the Financial Stability Board, we show how experts tied to these institutions secured control over how shadow...... banking is treated. In so doing, these technocrats reinforced each other’s expertise and excluded some potential competitors (legal scholars), coopted others (select Fed and elite academic economists). The findings have important implications for studying the relationship between IOs technocrats...

Conditions for Intuitive Expertise: A Failure to Disagree

Science.gov (United States)

Kahneman, Daniel; Klein, Gary

2009-01-01

This article reports on an effort to explore the differences between two approaches to intuition and expertise that are often viewed as conflicting: heuristics and biases (HB) and naturalistic decision making (NDM). Starting from the obvious fact that professional intuition is sometimes marvelous and sometimes flawed, the authors attempt to map…

South Africa and the 21st Century Power Partnership (Fact Sheet). 21st Century Power Partnership; 21st Century Power Partnership

Energy Technology Data Exchange (ETDEWEB)

None

2015-04-16

Established in 2012, the 21CPP South Africa Programme is a global initiative that connects South African stakeholders with an international community of expertise. The overall goal of this program is to support South Africa’s power system transformation by accelerating the transition to a reliable, financially robust, and low-carbon power system. 21CPP activities focus on achieving positive outcomes for all participants, especially addressing critical questions and challenges facing system planners, regulators, and operators. In support of this goal, 21CPP taps into deep networks of expertise among leading industry practitioners.

Clinical Ethics Consultants are not “Ethics” Experts—But They do Have Expertise 1

Science.gov (United States)

Rasmussen, Lisa M.

2016-01-01

The attempt to critique the profession of clinical ethics consultation by establishing the impossibility of ethics expertise has been a red herring. Decisions made in clinical ethics cases are almost never based purely on moral judgments. Instead, they are all-things-considered judgments that involve determining how to balance other values as well. A standard of justified decision-making in this context would enable us to identify experts who could achieve these standards more often than others, and thus provide a basis for expertise in clinical ethics consultation. This expertise relies in part on what Richard Zaner calls the “expert knowledge of ethical phenomena” (1988, 8). PMID:27302970

Prediction of top oil temperature for transformers

Science.gov (United States)

He, Qing

2000-11-01

When a transformer's winding gets too hot, either the load has to be reduced as a short-term solution or another transformer bay needs to be installed as a long-term plan. To decide on whether to deploy either of these two strategies, one should be able to predict the transformer temperature accurately. In this work, the traditional top-oil-rise model, top-oil model (which includes an ambient temperature) and semi-physical top-oil model are compared. The semi-physical top-oil model outperforms the other two models. Several attempts are also reported to improve the model used for top-oil temperature (TOT) prediction. It is shown that regardless of the order or complexity of the model, no model performs significantly better than the semi-physical top-oil model investigated; moreover, many models have performance measures that are approximately the same as the semi-physical model. Some of the sources of error that affect top-oil temperature prediction are studied here. Experimentation with various discretization schemes and models convinces the author that the semi-physical top-oil model used to predict transformer temperature is near optimal and that other sources of input-data error are frustrating the author's attempt to reduce the prediction error Further. The research demonstrates that the input error caused by database quantization, remote ambient temperature monitoring and low sampling rate accounts for about two-thirds of the error experienced with field data. The results of these simulations also show that the error caused by these sources is less than that obtained when using equivalent field data. It is the opinion of the author that most of this difference is due to the absence of significant driving variables, rather than the approximation used in constructing a semi-physical model. To further improve the error performance of the semi-physical top-oil model, three different neural network models including static neural network, temporal processing network

Social dimensions of expertise in World of Warcraft players

Directory of Open Access Journals (Sweden)

Mark Chen

2009-03-01

Full Text Available Expertise development in the massively multiplayer online game World of Warcraft (Blizzard Entertainment, 2004 depends greatly on a player's use of social skills to gain access to expert player groups and accrue social and cultural capital. Drawn from ethnographic research, this paper maps out various forms of expert practice and highlights the social aspects of game play that often eclipse the importance of game-mechanics knowledge. At the time of this research, playing World of Warcraft and developing expertise in the game happened roughly within a two-stage process: (1 leveling up, or advancing one's character or avatar while learning the mechanics of the game, and (2 drawing on social capital gained during the first stage to join a group of up to 40 players to partake in high-end or endgame content.

Derivation of Oscillators from Biquadratic Band Pass Filters Using Circuit Transformations

Directory of Open Access Journals (Sweden)

Hung-Yu Wang

2014-09-01

Full Text Available Network transformations are the techniques to obtain new functional schemes from available circuits. They are systematic methodologies, since each transformation technique can be applied to many circuits to obtain the desired functions or characteristics. A convenient network transformation method, exploiting different circuit transformations, for deriving linear sinusoidal oscillators from biquadratic band pass filters is proposed. This method with generality can be applied to any band pass filter. The oscillation frequency of the new obtained oscillator is identical to the center frequency of the original band pass filter, and the useful properties of the selected band pass filter can be retained. Two examples are illustrated to confirm the feasibility of the proposed approach. The workability of the obtained oscillators is verified with PSPICE simulations.

How student models of expertise and innovation impact the development of adaptive expertise in medicine.

Science.gov (United States)

Mylopoulos, Maria; Regehr, Glenn

2009-02-01

The ability to innovate new solutions in response to daily workplace challenges is an important component of adaptive expertise. Exploring how to optimally develop this skill is therefore of paramount importance to education researchers. This is certainly no less true in health care, where optimal patient care is contingent on the continuous efforts of doctors and other health care workers to provide the best care to their patients through the development and incorporation of new knowledge. Medical education programmes must therefore foster the skills and attitudes necessary to engage future doctors in the systematic development of innovative problem solving. The aim of this paper is to describe the perceptions and experiences of medical students in their third and fourth years of training, and to explore their understanding of their development as adaptive experts. A sample of 25 medical students participated in individual 45-60-minute semi-structured interviews. Interviews were audiotaped, transcribed and entered into NVivo qualitative data analysis software to facilitate a thematic analysis. The analysis was both inductive, in that themes were generated from the data, and deductive, in that our data were meaningful when interpreted in the context of theories of adaptive expertise. Participants expressed a general belief that, as learners in the health care system, exerting any effort to be innovative was beyond the scope of their responsibilities. Generally, students suggested that innovative practice was the prerogative of experts and an outcome of expert development centred on the acquisition of knowledge and experience. Students' perceptions of themselves as having no responsibility to be innovative in their learning process have implications for their learning trajectories as adaptive experts.

Neural basis of nonanalytical reasoning expertise during clinical evaluation

NARCIS (Netherlands)

Durning, S.J.; Costanzo, M.E.; Artino, A.R.; Graner, J.; Vleuten, C.P.M. van der; Beckman, T.J.; Wittich, C.M.; Roy, M.J.H.M. van; Holmboe, E.S.; Schuwirth, L.

2015-01-01

INTRODUCTION: Understanding clinical reasoning is essential for patient care and medical education. Dual-processing theory suggests that nonanalytic reasoning is an essential aspect of expertise; however, assessing nonanalytic reasoning is challenging because it is believed to occur on the

Covariance, correlation matrix, and the multiscale community structure of networks.

Science.gov (United States)

Shen, Hua-Wei; Cheng, Xue-Qi; Fang, Bin-Xing

2010-07-01

Empirical studies show that real world networks often exhibit multiple scales of topological descriptions. However, it is still an open problem how to identify the intrinsic multiple scales of networks. In this paper, we consider detecting the multiscale community structure of network from the perspective of dimension reduction. According to this perspective, a covariance matrix of network is defined to uncover the multiscale community structure through the translation and rotation transformations. It is proved that the covariance matrix is the unbiased version of the well-known modularity matrix. We then point out that the translation and rotation transformations fail to deal with the heterogeneous network, which is very common in nature and society. To address this problem, a correlation matrix is proposed through introducing the rescaling transformation into the covariance matrix. Extensive tests on real world and artificial networks demonstrate that the correlation matrix significantly outperforms the covariance matrix, identically the modularity matrix, as regards identifying the multiscale community structure of network. This work provides a novel perspective to the identification of community structure and thus various dimension reduction methods might be used for the identification of community structure. Through introducing the correlation matrix, we further conclude that the rescaling transformation is crucial to identify the multiscale community structure of network, as well as the translation and rotation transformations.

Neural basis of music imagery and the effect of musical expertise.

Science.gov (United States)

Herholz, Sibylle C; Lappe, Claudia; Knief, Arne; Pantev, Christo

2008-12-01

Although the influence of long-term musical training on the processing of heard music has been the subject of many studies, the neural basis of music imagery and the effect of musical expertise remain insufficiently understood. By means of magnetoencephalography (MEG) we compared musicians and nonmusicians in a musical imagery task with familiar melodies. Subjects listened to the beginnings of the melodies, continued them in their imagination and then heard a tone which was either a correct or an incorrect further continuation of the melody. Only in musicians was the imagery of these melodies strong enough to elicit an early preattentive brain response to unexpected incorrect continuations of the imagined melodies; this response, the imagery mismatch negativity (iMMN), peaked approximately 175 ms after tone onset and was right-lateralized. In contrast to previous studies the iMMN was not based on a heard but on a purely imagined memory trace. Our results suggest that in trained musicians imagery and perception rely on similar neuronal correlates, and that the musicians' intense musical training has modified this network to achieve a superior ability for imagery and preattentive processing of music.

Distance breached or distance transformed? Dilemmas of simulated and banal closeness in humanitarian communication

DEFF Research Database (Denmark)

Bajde, Domen; Knudsen, Gry Høngsmark

Social media have been argued to have transformed humanitarian communication and those involved in it. Networked humanitarian organizations are supposedly more open and transparent (Kanter and Fine 2010) and their “audiences” too are networked and "cause-wired" (Watson 2009), implying an unpreced......Social media have been argued to have transformed humanitarian communication and those involved in it. Networked humanitarian organizations are supposedly more open and transparent (Kanter and Fine 2010) and their “audiences” too are networked and "cause-wired" (Watson 2009), implying...

Impact of ambiguity resolution and application of transformation parameters obtained by regional GNSS network in Precise Point Positioning

Science.gov (United States)

Gandolfi, S.; Poluzzi, L.; Tavasci, L.

2012-12-01

Precise Point Positioning (PPP) is one of the possible approaches for GNSS data processing. As known this technique is faster and more flexible compared to the others which are based on a differenced approach and constitute a reliable methods for accurate positioning of remote GNSS stations, even in some remote area such as Antarctica. Until few years ago one of the major limits of the method was the impossibility to resolve the ambiguity as integer but nowadays many methods are available to resolve this aspect. The first software package permitting a PPP solution was the GIPSY OASIS realized, developed and maintained by JPL (NASA). JPL produce also orbits and files ready to be used with GIPSY. Recently, using these products came possible to resolve ambiguities improving the stability of solutions. PPP permit to estimate position into the reference frame of the orbits (IGS) and when coordinate in others reference frames, such al ITRF, are needed is necessary to apply a transformation. Within his products JPL offer, for each day, a global 7 parameter transformation that permit to locate the survey into the ITRF RF. In some cases it's also possible to create a costumed process and obtain analogous parameters using local/regional reference network of stations which coordinates are available also in the desired reference frame. In this work some tests on accuracy has been carried out comparing different PPP solutions obtained using the same software packages (GIPSY) but considering the ambiguity resolution, the global and regional transformation parameters. In particular two test area have been considered, first one located in Antarctica and the second one in Italy. Aim of the work is the evaluation of the impact of ambiguity resolution and the use of local/regional transformation parameter in the final solutions. Tests shown how the ambiguity resolution improve the precision, especially in the EAST component with a scattering reduction about 8%. And the use of global

Development of the South African Network for Nuclear Education, Science and Technology

International Nuclear Information System (INIS)

Cilliers, A.

2016-01-01

Full text: South Africa has long been regarded as an active country in the nuclear industry with two operating power reactors and a research reactor. In recent years’ research and development projects, such as the Pebble Bed Modular Reactor, has established additional expertise in the country situated at various institutions. After the PBMR project was stopped, the expertise became fragmented throughout the country and some experts even left the country. A number of training and research facilities have also completed their research cycle and are in the process of being decommissioned. With the renewed interest in nuclear technology and the states position to complete the procurement of 9600 MW of nuclear power before the end of the year, nuclear knowledge gap has been identified and the need to capture all nuclear education and research in an educational network as well as to establish new nuclear training and research facilities such as small training reactors and research laboratories to support the national new build programme. This expertise and research facilities were combined into SAN-NEST (South African Network for Nuclear Education, Science and Technology) for South Africa and the African continent, with links to AFRA-NEST. The paper reports on the successes and challenges of the establishment and operation of SAN-NEST. (author

Expertise development in the professions; Implications for teaching and assessment

NARCIS (Netherlands)

Boshuizen, Els

2011-01-01

Boshuizen, H. P. A. (2011, 30 August - 3 September). Expertise development in the professions; Implications for teaching and assessment. Paper presented at the bi-annual EARLI conferences, Exeter, UK.

How is VR used to support training in industry? The INTUITION network of excellence working group on education and training

NARCIS (Netherlands)

Cobb, S.C.; Richir, S.; D'Cruz, M.; Klinger, E.; Day, A.; David, P.; Gardeux, F.; van den Broek, Egon; van der Voort, Mascha C.; Meijer, F.; Izkara, J.L.; Mavrikios, D.

2008-01-01

INTUITION is the European Network of Excellence on virtual reality and virtual environments applications for future workspaces. The purpose of the network is to gather expertise from partner members and determine the future research agenda for the development and use of virtual reality (VR)

Deformable image registration using convolutional neural networks

Science.gov (United States)

Eppenhof, Koen A. J.; Lafarge, Maxime W.; Moeskops, Pim; Veta, Mitko; Pluim, Josien P. W.

2018-03-01

Deformable image registration can be time-consuming and often needs extensive parameterization to perform well on a specific application. We present a step towards a registration framework based on a three-dimensional convolutional neural network. The network directly learns transformations between pairs of three-dimensional images. The outputs of the network are three maps for the x, y, and z components of a thin plate spline transformation grid. The network is trained on synthetic random transformations, which are applied to a small set of representative images for the desired application. Training therefore does not require manually annotated ground truth deformation information. The methodology is demonstrated on public data sets of inspiration-expiration lung CT image pairs, which come with annotated corresponding landmarks for evaluation of the registration accuracy. Advantages of this methodology are its fast registration times and its minimal parameterization.

Extending Resolution of Fault Slip With Geodetic Networks Through Optimal Network Design

Science.gov (United States)

Sathiakumar, Sharadha; Barbot, Sylvain Denis; Agram, Piyush

2017-12-01

Geodetic networks consisting of high precision and high rate Global Navigation Satellite Systems (GNSS) stations continuously monitor seismically active regions of the world. These networks measure surface displacements and the amount of geodetic strain accumulated in the region and give insight into the seismic potential. SuGar (Sumatra GPS Array) in Sumatra, GEONET (GNSS Earth Observation Network System) in Japan, and PBO (Plate Boundary Observatory) in California are some examples of established networks around the world that are constantly expanding with the addition of new stations to improve the quality of measurements. However, installing new stations to existing networks is tedious and expensive. Therefore, it is important to choose suitable locations for new stations to increase the precision obtained in measuring the geophysical parameters of interest. Here we describe a methodology to design optimal geodetic networks that augment the existing system and use it to investigate seismo-tectonics at convergent and transform boundaries considering land-based and seafloor geodesy. The proposed network design optimization would be pivotal to better understand seismic and tsunami hazards around the world. Land-based and seafloor networks can monitor fault slip around subduction zones with significant resolution, but transform faults are more challenging to monitor due to their near-vertical geometry.

Models for thermal and mechanical monitoring of power transformers

Energy Technology Data Exchange (ETDEWEB)

Vilaithong, Rummiya

2011-07-01

At present, for economic reasons, there is an increasing emphasis on keeping transformers in service for longer than in the past. A condition-based maintenance using an online monitoring and diagnostic system is one option to ensure reliability of the transformer operation. The key parameters for effectively monitoring equipment can be selected by failure statistics and estimated failure consequences. In this work, two key aspects of transformer condition monitoring are addressed in depth: thermal behaviour and behaviour of on-load tap changers. In the first part of the work, transformer thermal behaviour is studied, focussing on top-oil temperatures. Through online comparison of a measured value of the top-oil temperature and its calculated value, some rapidly developing failures in power transformers such as malfunction of the cooling unit may be detected. Predictions of top-oil temperature can be obtained by means of a mathematical model. Long-term investigations on some dynamic top-oil temperature models are presented for three different types of transformer units. The last-state top-oil temperature, load current, ambient temperature and the operating state of pumps and fans are applied as inputs of the top-oil temperature models. In the fundamental physical models presented, some constant parameters are required and can be estimated using a least-squares optimization technique. Multilayer Feed-forward and Recurrent neural network models are also proposed and investigated. The neural network models are trained with three different Backpropagation training algorithms: Levenberg-Marquardt, Scaled Conjugate Gradient and Automated Bayesian Regularization. The effect of varying operating conditions of the cooling units and the non-steady-state behaviour of loading conditions, as well as ambient temperature are noted. Results show sophisticated temperature prediction is possible using the neural network models that is generally more accurate than with the physical

Cloning transformations in spin networks without external control

International Nuclear Information System (INIS)

De Chiara, Gabriele; Fazio, Rosario; Montangero, Simone; Macchiavello, Chiara; Palma, G. Massimo

2005-01-01

In this paper we present an approach to quantum cloning with unmodulated spin networks. The cloner is realized by a proper design of the network and a choice of the coupling between the qubits. We show that in the case of phase covariant cloner the XY coupling gives the best results. In the 1→2 cloning we find that the value for the fidelity of the optimal cloner is achieved, and values comparable to the optimal ones in the general N→M case can be attained. If a suitable set of network symmetries are satisfied, the output fidelity of the clones does not depend on the specific choice of the graph. We show that spin network cloning is robust against the presence of static imperfections. Moreover, in the presence of noise, it outperforms the conventional approach. In this case the fidelity exceeds the corresponding value obtained by quantum gates even for a very small amount of noise. Furthermore, we show how to use this method to clone qutrits and qudits. By means of the Heisenberg coupling it is also possible to implement the universal cloner although in this case the fidelity is 10% off that of the optimal cloner

Dissolved Gas Analysis of Insulating Transformer Oil Using Optical Fiber

OpenAIRE

Overby, Alan Bland

2014-01-01

The power industry relies on high voltage transformers as the backbone of power distribution networks. High voltage transformers are designed to handle immense electrical loads in hostile environments. Long term placement is desired, however by being under constant heavy load transformers face mechanical, thermal, and electrical stresses which lead to failures of the protection systems in place. The service life of a transformer is often limited by the life time of its insulati...

Exploring Vietnamese co-authorship patterns in social sciences with basic network measures of 2008-2017 Scopus data.

Science.gov (United States)

Ho, Tung Manh; Nguyen, Ha Viet; Vuong, Thu-Trang; Dam, Quang-Minh; Pham, Hiep-Hung; Vuong, Quan-Hoang

2017-01-01

Background: Collaboration is a common occurrence among Vietnamese scientists; however, insights into Vietnamese scientific collaborations have been scarce. On the other hand, the application of social network analysis in studying science collaboration has gained much attention all over the world. The technique could be employed to explore Vietnam's scientific community. Methods: This paper employs network theory to explore characteristics of a network of 412 Vietnamese social scientists whose papers can be found indexed in the Scopus database. Two basic network measures, density and clustering coefficient, were taken, and the entire network was studied in comparison with two of its largest components. Results: The networks connections are very sparse, with a density of only 0.47%, while the clustering coefficient is very high (58.64%). This suggests an inefficient dissemination of information, knowledge, and expertise in the network. Secondly, the disparity in levels of connection among individuals indicates that the network would easily fall apart if a few highly-connected nodes are removed. Finally, the two largest components of the network were found to differ from the entire networks in terms of measures and were both led by the most productive and well-connected researchers. Conclusions: High clustering and low density seems to be tied to inefficient dissemination of expertise among Vietnamese social scientists, and consequently low scientific output. Also low in robustness, the network shows the potential of an intellectual elite composed of well-connected, productive, and socially significant individuals.

Vanishing points detection using combination of fast Hough transform and deep learning

Science.gov (United States)

Sheshkus, Alexander; Ingacheva, Anastasia; Nikolaev, Dmitry

2018-04-01

In this paper we propose a novel method for vanishing points detection based on convolutional neural network (CNN) approach and fast Hough transform algorithm. We show how to determine fast Hough transform neural network layer and how to use it in order to increase usability of the neural network approach to the vanishing point detection task. Our algorithm includes CNN with consequence of convolutional and fast Hough transform layers. We are building estimator for distribution of possible vanishing points in the image. This distribution can be used to find candidates of vanishing point. We provide experimental results from tests of suggested method using images collected from videos of road trips. Our approach shows stable result on test images with different projective distortions and noise. Described approach can be effectively implemented for mobile GPU and CPU.

Effects of musical expertise on oscillatory brain activity in response to emotional sounds.

Science.gov (United States)

Nolden, Sophie; Rigoulot, Simon; Jolicoeur, Pierre; Armony, Jorge L

2017-08-01

Emotions can be conveyed through a variety of channels in the auditory domain, be it via music, non-linguistic vocalizations, or speech prosody. Moreover, recent studies suggest that expertise in one sound category can impact the processing of emotional sounds in other sound categories as they found that musicians process more efficiently emotional musical and vocal sounds than non-musicians. However, the neural correlates of these modulations, especially their time course, are not very well understood. Consequently, we focused here on how the neural processing of emotional information varies as a function of sound category and expertise of participants. Electroencephalogram (EEG) of 20 non-musicians and 17 musicians was recorded while they listened to vocal (speech and vocalizations) and musical sounds. The amplitude of EEG-oscillatory activity in the theta, alpha, beta, and gamma band was quantified and Independent Component Analysis (ICA) was used to identify underlying components of brain activity in each band. Category differences were found in theta and alpha bands, due to larger responses to music and speech than to vocalizations, and in posterior beta, mainly due to differential processing of speech. In addition, we observed greater activation in frontal theta and alpha for musicians than for non-musicians, as well as an interaction between expertise and emotional content of sounds in frontal alpha. The results reflect musicians' expertise in recognition of emotion-conveying music, which seems to also generalize to emotional expressions conveyed by the human voice, in line with previous accounts of effects of expertise on musical and vocal sounds processing. Copyright © 2017 Elsevier Ltd. All rights reserved.

Delusions of expertise: the high standard of proof needed to demonstrate skills at horserace handicapping.

Science.gov (United States)

Browne, Matthew; Rockloff, Matthew J; Blaszcynski, Alex; Allcock, Clive; Windross, Allen

2015-03-01

Gamblers who participate in skill-oriented games (such as poker and sports-betting) are motivated to win over the long-term, and some monitor their betting outcomes to evaluate their performance and proficiency. In this study of Australian off-track horserace betting, we investigated which levels of sustained returns would be required to establish evidence of skill/expertise. We modelled a random strategy to simulate 'naïve' play, in which equal bets were placed on randomly selected horses using a representative sample of 211 weekend races. Results from a Monte Carlo simulation yielded a distribution of return-on-investments for varying number of bets (N), showing surprising volatility, even after a large number of repeated bets. After adjusting for the house advantage, a gambler would have to place over 10,000 bets in individual races with net returns exceeding 9 % to be reasonably considered an expert punter (α = .05). Moreover, a record of fewer bets would require even greater returns for demonstrating expertise. As such, validated expertise is likely to be rare among race bettors. We argue that the counter-intuitively high threshold for demonstrating expertise by tracking historical performance is likely to exacerbate known cognitive biases in self-evaluation of expertise.

Adaptation, expertise, and giftedness: towards an understanding of cortical, subcortical, and cerebellar network contributions.

Science.gov (United States)

Koziol, Leonard F; Budding, Deborah Ely; Chidekel, Dana

2010-12-01

Current cortico-centric models of cognition lack a cohesive neuroanatomic framework that sufficiently considers overlapping levels of function, from "pathological" through "normal" to "gifted" or exceptional ability. While most cognitive theories presume an evolutionary context, few actively consider the process of adaptation, including concepts of neurodevelopment. Further, the frequent co-occurrence of "gifted" and "pathological" function is difficult to explain from a cortico-centric point of view. This comprehensive review paper proposes a framework that includes the brain's vertical organization and considers "giftedness" from an evolutionary and neurodevelopmental vantage point. We begin by discussing the current cortico-centric model of cognition and its relationship to intelligence. We then review an integrated, dual-tiered model of cognition that better explains the process of adaptation by simultaneously allowing for both stimulus-based processing and higher-order cognitive control. We consider the role of the basal ganglia within this model, particularly in relation to reward circuitry and instrumental learning. We review the important role of white matter tracts in relation to speed of adaptation and development of behavioral mastery. We examine the cerebellum's critical role in behavioral refinement and in cognitive and behavioral automation, particularly in relation to expertise and giftedness. We conclude this integrated model of brain function by considering the savant syndrome, which we believe is best understood within the context of a dual-tiered model of cognition that allows for automaticity in adaptation as well as higher-order executive control.

Modeling of magnetization reversal processes in magnetic circuits of measuring transformers

OpenAIRE

Lebedev, Vladimir; Makarov, Arkadiy; Yablokov, Andrey; Filatova, Galina

2015-01-01

The article describes methods for modeling transient regimes in current and voltage transformers. In most studies measuring transformers are modeled in a stationary mode to determine their metrological characteristics. However, for safe uninterrupted operation of transformers and electrical networks it is necessary to carry out their research in dynamic mode. In particular, the study of the transformers stability to the ferroresonant phenomena occurring during switching o...

A NEW DISCRETE HARTLEY TRANSFORM PRECODING BASED INTERLEAVED-OFDMA UPLINK SYSTEM WITH REDUCED PAPR FOR 4G CELLULAR NETWORKS

Directory of Open Access Journals (Sweden)

VARUN JEOTI

2011-12-01

Full Text Available High peak-to-average power ratio (PAPR reduction is one of the major challenges in orthogonal frequency division multiple access (OFDMA systems since last decades. High PAPR increases the complexity of analogue-to-digital (A/D and digital-to-analogue (D/A convertors and also reduces the efficiency of RF high-power-amplifier (HPA. In this paper, we present a new Discrete- Hartley transform (DHT precoding based interleaved-OFDMA uplink system for PAPR reduction in the upcoming 4G cellular networks. Extensive computer simulations have been performed to analyze the PAPR of the proposed system with root-raised-cosine (RRC pulse shaping. We also compare simulation results of the proposed system with the conventional interleaved-OFDMA uplink systems and the Walsh-Hadamard transform (WHT precoding based interleaved-OFDMA uplink systems. It is concluded from the computer simulations that the proposed system has low PAPR as compared to the conventional interleaved-OFDMA uplink systems and the WHT precoded interleaved-OFDMA uplink systems.

How Well Do Computer-Generated Faces Tap Face Expertise?

Directory of Open Access Journals (Sweden)

Kate Crookes

Full Text Available The use of computer-generated (CG stimuli in face processing research is proliferating due to the ease with which faces can be generated, standardised and manipulated. However there has been surprisingly little research into whether CG faces are processed in the same way as photographs of real faces. The present study assessed how well CG faces tap face identity expertise by investigating whether two indicators of face expertise are reduced for CG faces when compared to face photographs. These indicators were accuracy for identification of own-race faces and the other-race effect (ORE-the well-established finding that own-race faces are recognised more accurately than other-race faces. In Experiment 1 Caucasian and Asian participants completed a recognition memory task for own- and other-race real and CG faces. Overall accuracy for own-race faces was dramatically reduced for CG compared to real faces and the ORE was significantly and substantially attenuated for CG faces. Experiment 2 investigated perceptual discrimination for own- and other-race real and CG faces with Caucasian and Asian participants. Here again, accuracy for own-race faces was significantly reduced for CG compared to real faces. However the ORE was not affected by format. Together these results signal that CG faces of the type tested here do not fully tap face expertise. Technological advancement may, in the future, produce CG faces that are equivalent to real photographs. Until then caution is advised when interpreting results obtained using CG faces.

Mayo Clinic Care Network: A Collaborative Health Care Model.

Science.gov (United States)

Wald, John T; Lowery-Schrandt, Sherri; Hayes, David L; Kotsenas, Amy L

2018-01-01

By leveraging its experience and expertise as a consultative clinical partner, the Mayo Clinic developed an innovative, scalable care model to accomplish several strategic goals: (1) create and sustain high-value relationships that benefit patients and providers, (2) foster relationships with like-minded partners to act as a strategy against the development of narrow health care networks, and (3) increase national and international brand awareness of Mayo Clinic. The result was the Mayo Clinic Care Network. Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

The ASCI Network for SC 2000: Gigabyte Per Second Networking; TOPICAL

International Nuclear Information System (INIS)

PRATT, THOMAS J.; NAEGLE, JOHN H.; MARTINEZ JR., LUIS G.; HU, TAN CHANG; MILLER, MARC M.; BARNABY, MARTY L.; ADAMS, ROGER L.; KLAUS, EDWARD J.

2001-01-01

This document highlights the Discom's Distance computing and communication team activities at the 2000 Supercomputing conference in Dallas Texas. This conference is sponsored by the IEEE and ACM. Sandia's participation in the conference has now spanned a decade, for the last five years Sandia National Laboratories, Los Alamos National Lab and Lawrence Livermore National Lab have come together at the conference under the DOE's ASCI, Accelerated Strategic Computing Initiatives, Program rubric to demonstrate ASCI's emerging capabilities in computational science and our combined expertise in high performance computer science and communication networking developments within the program. At SC 2000, DISCOM demonstrated an infrastructure. DISCOM2 uses this forum to demonstrate and focus communication and pre-standard implementation of 10 Gigabit Ethernet, the first gigabyte per second data IP network transfer application, and VPN technology that enabled a remote Distributed Resource Management tools demonstration. Additionally a national OC48 POS network was constructed to support applications running between the show floor and home facilities. This network created the opportunity to test PSE's Parallel File Transfer Protocol (PFTP) across a network that had similar speed and distances as the then proposed DISCOM WAN. The SCINET SC2000 showcased wireless networking and the networking team had the opportunity to explore this emerging technology while on the booth. This paper documents those accomplishments, discusses the details of their convention exhibit floor. We also supported the production networking needs of the implementation, and describes how these demonstrations supports DISCOM overall strategies in high performance computing networking

Embedding recurrent neural networks into predator-prey models.

Science.gov (United States)

Moreau, Yves; Louiès, Stephane; Vandewalle, Joos; Brenig, Leon

1999-03-01

We study changes of coordinates that allow the embedding of ordinary differential equations describing continuous-time recurrent neural networks into differential equations describing predator-prey models-also called Lotka-Volterra systems. We transform the equations for the neural network first into quasi-monomial form (Brenig, L. (1988). Complete factorization and analytic solutions of generalized Lotka-Volterra equations. Physics Letters A, 133(7-8), 378-382), where we express the vector field of the dynamical system as a linear combination of products of powers of the variables. In practice, this transformation is possible only if the activation function is the hyperbolic tangent or the logistic sigmoid. From this quasi-monomial form, we can directly transform the system further into Lotka-Volterra equations. The resulting Lotka-Volterra system is of higher dimension than the original system, but the behavior of its first variables is equivalent to the behavior of the original neural network. We expect that this transformation will permit the application of existing techniques for the analysis of Lotka-Volterra systems to recurrent neural networks. Furthermore, our results show that Lotka-Volterra systems are universal approximators of dynamical systems, just as are continuous-time neural networks.

Biosphere 2, a nexus of partner networks that improve student experiences and outcomes

Science.gov (United States)

Dontsova, K.; Bonine, K. E.; Batchelor, R. L.; Brinkworth, C.; Keller, J. M.; Hogan, D.; Treloar, D.

2017-12-01

University of Arizona (UA) Biosphere 2 co-convenes several internship opportunities for undergraduate students, including 1) NSF-funded Research Experiences for Undergraduates (REU) Site: "Biosphere 2 Earth Systems Research for Environmental Solutions", 2) NSF-funded INCLUDES program "Collaborative Research: Integrating Indigenous and Western Knowledge to Transform Learning and Discovery in the Geosciences" executed in collaboration with the University Corporation for Atmospheric Research (UCAR), and 3) STEM Teacher and Researcher (STAR) Fellows Program in partnership with California Polytechnic State University - San Luis Obispo. In addition, the B2 REU Site partners with several UA organizations linking research to stakeholders, such as UA Cooperative Extension, Institute of the Environment, and the Water Resources Research Center, and with the UA Graduate College's Undergraduate Research Opportunities Consortium (UROC), which connects a diverse portfolio of summer research programs across the UA campus. Connections among these programs and organizations allow us to improve student experiences and outcomes by leveraging organizational, mentor, and peer diversity and expertise. Each partnership brings unique benefits for the students - from access to teaching experience and perspectives that STAR Fellows provide, to a multitude of professional development programs made possible by pooled resources of UROC participants, to access to networks and knowledge from our outreach partners, to opportunities for continued multi-year learning and support with INCLUDES and UCAR. Coming together allows all partners to better apply outside resources, expertise, and knowledge to bring more value to the students and to help students enrich themselves as well as partner organizations and program participants.

A.Q. Khan Nuclear Smuggling Network

Directory of Open Access Journals (Sweden)

Molly MacCalman

2016-03-01

Full Text Available Abdul Qadeer Khan, widely viewed as the father of Pakistan’s nuclear weapons program, was arrested on January 31, 2004 for his key role in the black market sale of nuclear technology and equipment to Iran, North Korea, Libya, and possibly others. A.Q. Khan’s nuclear smuggling network prospered throughout the 1980s and 1990s and was linked to middlemen and businesses in over 20 countries. The network offered buyers a menu of both technical expertise and materials with prices ranging from millions to hundreds of millions of dollars. The Khan network was ultimately exposed largely due to years of intelligence gathering by the United States and the United Kingdom. However, very few of the network’s members have been successfully prosecuted and the demand for nuclear material by both state and non-state actors continues. The exposure of Khan’s network confirmed that a non-state actor could procure and sell a turnkey nuclear weapons program to willing buyers.

‘No Level Up!’: No effects of video game specialization and expertise on cognitive performance

Directory of Open Access Journals (Sweden)

Fernand eGobet

2014-11-01

Full Text Available Previous research into the effects of action video gaming on cognition has suggested that long term exposure to this type of game might lead to an enhancement of cognitive skills that transfer to non-gaming cognitive tasks. However, these results have been controversial. The aim of the current study was to test the presence of positive cognitive transfer from action video games to two cognitive tasks. More specifically, this study investigated the effects that participants’ expertise and genre specialisation have on cognitive improvements in one task unrelated to video gaming (a flanker task and one related task (change detection task with both control and genre-specific images. This study was unique in three ways. Firstly, it analysed a continuum of expertise levels, which has yet to be investigated in research into the cognitive benefits of video gaming. Secondly, it explored genre-specific skill developments on these tasks by comparing Action and Strategy video game players. Thirdly, it used a very tight experiment design, including the experimenter being blind to expertise level and genre specialisation of the participant. Ninety-two university students aged between 18 and 30 (M = 21.25 were recruited through opportunistic sampling and were grouped by video game specialization and expertise level. While the results of the flanker task were consistent with previous research (i.e. effect of congruence, there was no effect of expertise, and the action gamers failed to outperform the strategy gamers. Additionally, contrary to expectation, there was no interaction between genre specialisation and image type in the change detection task, again demonstrating no expertise effect. The lack of effects for game specialization and expertise goes against previous research on the positive effects of action video gaming on other cognitive tasks.

Transformations in Air Transportation Systems For the 21st Century

Science.gov (United States)

Holmes, Bruce J.

2004-01-01

Globally, our transportation systems face increasingly discomforting realities: certain of the legacy air and ground infrastructures of the 20th century will not satisfy our 21st century mobility needs. The consequence of inaction is diminished quality of life and economic opportunity for those nations unable to transform from the 20th to 21st century systems. Clearly, new thinking is required regarding business models that cater to consumers value of time, airspace architectures that enable those new business models, and technology strategies for innovating at the system-of-networks level. This lecture proposes a structured way of thinking about transformation from the legacy systems of the 20th century toward new systems for the 21st century. The comparison and contrast between the legacy systems of the 20th century and the transformed systems of the 21st century provides insights into the structure of transformation of air transportation. Where the legacy systems tend to be analog (versus digital), centralized (versus distributed), and scheduled (versus on-demand) for example, transformed 21st century systems become capable of scalability through technological, business, and policy innovations. Where air mobility in our legacy systems of the 20th century brought economic opportunity and quality of life to large service markets, transformed air mobility of the 21st century becomes more equitable available to ever-thinner and widely distributed populations. Several technological developments in the traditional aircraft disciplines as well as in communication, navigation, surveillance and information systems create new foundations for 21st thinking about air transportation. One of the technological developments of importance arises from complexity science and modern network theory. Scale-free (i.e., scalable) networks represent a promising concept space for modeling airspace system architectures, and for assessing network performance in terms of robustness

La relación entre creatividad y expertise: contribuciones teóricas y empíricas

Directory of Open Access Journals (Sweden)

Afonso C. T. Galvao

2009-06-01

Full Text Available La creatividad y el expertise son temas que están recibiendo mayor atención de los inves­tigadores en distintos campos del conocimiento. Atributos personales asociados a la alta producción creativa, factores que favorecen el desarrollo, la expresión de la creatividad y el expertise, así como los procesos implicados en el desarrollo de la alta competencia y la creatividad, son temas que han sido objeto de numerosos estudios. El presente estudio pre­senta contribuciones teóricas y estudios empíricos acerca de la creatividad y el expertise. Se describen los elementos comunes para el desarrollo de la creatividad y el expertise, así como las características de los ambientes educativos que los promueven, los modelos teóricos y estudios empíricos.

The CERN Global Network opens its doors to companies

CERN Multimedia

Francesco Poppi

2010-01-01

Six months after its launch, the CERN Global Network already has almost one thousand members. Today, it is opening its doors to companies from CERN's Member States. This will open up a variety of new professional and career opportunities to all the members and will enhance the networking capabilities of all parties involved.   Screenshot of the CERN Global Network website. A new item has recently appeared on the top menu of the Network's website: “Organisations”. This is the entry point for companies and, later, research institutes, wishing to join. “The CERN Global Network brings together hundreds of people who have worked at or with CERN and who have a wealth of skills and expertise. Thanks to the Network, the job opportunities made available by the companies will become visible to the wider community,” says Linda Orr-Easo, a member of the Knowledge and Technology Transfer Group and the CERN Global Network Manager. In addition to creating new career opp...

Genetic optimization of neural network architecture

International Nuclear Information System (INIS)

Harp, S.A.; Samad, T.

1994-03-01

Neural networks are now a popular technology for a broad variety of application domains, including the electric utility industry. Yet, as the technology continues to gain increasing acceptance, it is also increasingly apparent that the power that neural networks provide is not an unconditional blessing. Considerable care must be exercised during application development if the full benefit of the technology is to be realized. At present, no fully general theory or methodology for neural network design is available, and application development is a trial-and-error process that is time-consuming and expertise-intensive. Each application demands appropriate selections of the network input space, the network structure, and values of learning algorithm parameters-design choices that are closely coupled in ways that largely remain a mystery. This EPRI-funded exploratory research project was initiated to take the key next step in this research program: the validation of the approach on a realistic problem. We focused on the problem of modeling the thermal performance of the TVA Sequoyah nuclear power plant (units 1 and 2)

Development of the Global Measles Laboratory Network.

Science.gov (United States)

Featherstone, David; Brown, David; Sanders, Ray

2003-05-15

The routine reporting of suspected measles cases and laboratory testing of samples from these cases is the backbone of measles surveillance. The Global Measles Laboratory Network (GMLN) has developed standards for laboratory confirmation of measles and provides training resources for staff of network laboratories, reference materials and expertise for the development and quality control of testing procedures, and accurate information for the Measles Mortality Reduction and Regional Elimination Initiative. The GMLN was developed along the lines of the successful Global Polio Laboratory Network, and much of the polio laboratory infrastructure was utilized for measles. The GMLN has developed as countries focus on measles control activities following successful eradication of polio. Currently more than 100 laboratories are part of the global network and follow standardized testing and reporting procedures. A comprehensive laboratory accreditation process will be introduced in 2002 with six quality assurance and performance indicators.

Communications in case of radiological emergency: expertise exchange between IPSN and two agricultural branches of the region Provence-Alpes-Cote d'Azur

International Nuclear Information System (INIS)

Berthier, Laure; Pupin, Vincent

1997-01-01

A patrimonial audit organized by the 'Institut de Protection et de Surete Nucleaire' (IPSN) has mobilized the expertise of specialists in the nuclear sector and two sensible agricultural branches (salads and sheep) in Province-Alpes-Cote d'Azur (PACA) on the topic of communications among them in case of contamination of region (radiological emergency situation). Having in view their offers and requests of information we have identified the common fields of action involving the four concerned high-ranking actors of different culture: agricultural Administration, agricultural professionals, nuclear sector authorities and elected persons. We have analyzed the actions already completed in this field and established that the Chernobyl accident was a graveyard from the point of view of mobilization and awareness of actors. A project in the future allowed the determination of the stake implied in the relation between IPSN and the two branches and thus to establish the conditions of reaction in case of radiological emergency. Hence, we were able to make propositions to IPSN for building a French agro-nuclear expertise based upon a relation network covering (and even surpassing) the studied agricultural branches

A Structural Equation Model of Expertise in College Physics

Science.gov (United States)

Taasoobshirazi, Gita; Carr, Martha

2009-01-01

A model of expertise in physics was tested on a sample of 374 college students in 2 different level physics courses. Structural equation modeling was used to test hypothesized relationships among variables linked to expert performance in physics including strategy use, pictorial representation, categorization skills, and motivation, and these…

Expertise, Task Complexity, and Artificial Intelligence: A Conceptual Framework.

Science.gov (United States)

Buckland, Michael K.; Florian, Doris

1991-01-01

Examines the relationship between users' expertise, task complexity of information system use, and artificial intelligence to provide the basis for a conceptual framework for considering the role that artificial intelligence might play in information systems. Cognitive and conceptual models are discussed, and cost effectiveness is considered. (27…

Does tutor subject-matter expertise influence student achievement in ...

African Journals Online (AJOL)

Objective. To establish whether or not tutor subject-matter expertise influences student achievement in content-based examinations in the problem-based learning (PBL) curriculum at the University of Transkei (UNITRA) Medical School. Design. A retrospective study of MB ChB III student achievement in end-of-block ...

ENIQ: European Network for Inspection Qualification: Status report

International Nuclear Information System (INIS)

Champigny, F.; Sandberg, U.; Crutzen, S.; Lemaitre, P.

1998-01-01

The European Network for Inspection Qualification (ENIQ) groups the major part of the nuclear power plant operators in the European Union (and Switzerland). The main objective of ENIQ is to co-ordinate and manage at European level expertise and resources for the qualification of NDE inspection systems, primarily for nuclear components. In this paper the main activities, organisation and actual status of ENIQ are discussed. (author)

Studying Policy Transfer through the Lens of Social Network Analysis

DEFF Research Database (Denmark)

Staunæs, Dorthe; Brøgger, Katja; Steiner-Khamsi, Gita

Studying Policy Transfer through the Lens of Social Network Analysis The panelists present the findings of a joint empirical research project carried out at Aarhus University (DPU/Copenhagen) and at Teachers College, Columbia University (New York). The research project succeeded to identify...... discursive networks of political stakeholders and policy advisors that were considered key actors in the Danish school reform. The research team investigated how these networks interrelate, change over time, and represent different constituents (government, academe, business), at times contradicting...... or collaborating with each other, respectively. Against the backdrop of globalization studies in comparative education, the research project attempted to identify borrowers, translators, and brokers of educational reform drawing on a complementary set of expertise from social network analysis methodology (Oren...

Social and psychological risks expertise in crisis communities

International Nuclear Information System (INIS)

Shvalb, Y.

1998-01-01

Emerging and development of crises in the communities leads to considerable increase of individual's risks' quality and quantity. Irrespectively of risk scale - partial or total influence on a community - a number of tendencies of risks increase could be identified. On social level risks result from the tendency of social protection decrease and restriction in free choice of activities' forms and kinds. On group level confrontation and clashes emerge, increase intolerance and decrease tolerance are identified. On interpersonal (micro group) level aggression and abuse intensify. On individual level a complex of negative psychological statuses develops, which is diverse both as for its content and forms. Reasons of crisis development and its dynamics determine the content and concrete forms of risks on all levels. Systematic description of risks and development of psychological support programmes for population in risk presupposes organization and delivering of comprehensive social and psychological expertise of situation. Such an expertise makes it possible to unite in a comprehensive model of the multi-professional descriptions of crisis situations on the above mentioned levels, the subjective concepts of the population (or its separate groups) together with evaluation of various projects and programmes on crisis coping and risks decrease options. (author)

Designing an application for managing distribution transformer load

Directory of Open Access Journals (Sweden)

Olga Liliana Sánchez

2006-09-01

Full Text Available This paper presents a software application for distribution transformer load management and calculating the elec- tricity distribution network service quality index (i.e. EDS and EFS indexes. Transformer operation state, calculating core and coil losses and selecting distribution transformers based on technical-economic criteria using daily-load curves are the load management strategies presented here. The application consists of a programme allowing to data acquisition input, an Excel-based spread-sheet having the equations for calculating load management data and a user-interface presenting the load management application’s results. The application was validated by technical-economic evaluation of three distribution transformers when supplying demand.

Expertise with unfamiliar objects is flexible to changes in task but not changes in class.

Directory of Open Access Journals (Sweden)

Rachel A Searston

Full Text Available Perceptual expertise is notoriously specific and bound by familiarity; generalizing to novel or unfamiliar images, objects, identities, and categories often comes at some cost to performance. In forensic and security settings, however, examiners are faced with the task of discriminating unfamiliar images of unfamiliar objects within their general domain of expertise (e.g., fingerprints, faces, or firearms. The job of a fingerprint expert, for instance, is to decide whether two unfamiliar fingerprint images were left by the same unfamiliar finger (e.g., Smith's left thumb, or two different unfamiliar fingers (e.g., Smith and Jones's left thumb. Little is known about the limits of this kind of perceptual expertise. Here, we examine fingerprint experts' and novices' ability to distinguish fingerprints compared to inverted faces in two different tasks. Inverted face images serve as an ideal comparison because they vary naturally between and within identities, as do fingerprints, and people tend to be less accurate or more novice-like at distinguishing faces when they are presented in an inverted or unfamiliar orientation. In Experiment 1, fingerprint experts outperformed novices in locating categorical fingerprint outliers (i.e., a loop pattern in an array of whorls, but not inverted face outliers (i.e., an inverted male face in an array of inverted female faces. In Experiment 2, fingerprint experts were more accurate than novices at discriminating matching and mismatching fingerprints that were presented very briefly, but not so for inverted faces. Our data show that perceptual expertise with fingerprints can be flexible to changing task demands, but there can also be abrupt limits: fingerprint expertise did not generalize to an unfamiliar class of stimuli. We interpret these findings as evidence that perceptual expertise with unfamiliar objects is highly constrained by one's experience.

Teachers’ Shared Expertise at a Multidisciplinary University of Applied Sciences

Directory of Open Access Journals (Sweden)

Arto O. Salonen

2015-07-01

Full Text Available Shared expertise, team teaching, and cooperation among lecturers from different fields have become more and more important in promoting learning and achieving more innovative learning outcomes in multidisciplinary universities. To increase and improve sharing expertise between teachers from different faculties and disciplines, we wanted, on one hand, to identify skills and competences that teachers have in common and, on the other hand, to find areas in which they identify that they need complementation. As a framework for this research, we applied Lee Shulman’s (1986 seven categories of teachers’ knowledge base including the theory of pedagogical content knowledge (PCK. The data were collected by group discussions. The teachers (N = 22 represented all seven faculties of Helsinki Metropolia University of Applied Sciences (UAS, that is, Business School, Civil Engineering and Building Services, Culture and Creative Industries, Health Care and Nursing, School of Information and Communication Technology (ICT, Industrial Engineering, and Welfare and Human Functioning. The data were analyzed using theory-based content analysis. According to our data, the mutual core competence of a teacher is the capacity to interact effectively. It is a basis for shared expertise. Interaction skills are necessary in collaborative construction of knowledge as students, teachers of different fields, and their partners inside and outside the organization co-operate. Multidisciplinary co-operation among colleagues also helps to maintain subject matter knowledge, as it supports peer learning and encourages everyone to move out of their comfort zones.

Perceptions and Predictions of Expertise in Advanced Musical Learners

Science.gov (United States)

Papageorgi, Ioulia; Creech, Andrea; Haddon, Elizabeth; Morton, Frances; De Bezenac, Christophe; Himonides, Evangelos; Potter, John; Duffy, Celia; Whyton, Tony; Welch, Graham

2010-01-01

The aim of this article was to compare musicians' views on (a) the importance of musical skills and (b) the nature of expertise. Data were obtained from a specially devised web-based questionnaire completed by advanced musicians representing four musical genres (classical, popular, jazz, Scottish traditional) and varying degrees of professional…

Using professional expertise in partnership with families: A new model of capacity building.

Science.gov (United States)

Clerke, Teena; Hopwood, Nick; Chavasse, Fran; Fowler, Cathrine; Lee, Sally; Rogers, Julie

2017-03-01

The first five years of parenting are critical to children's development. Parents are known to respond best to interventions with a partnership-based approach, yet child and family health nurses (CFHNs) report some tension between employing their expertise and maintaining a partnership relationship. This article identifies ways in which CFHNs skilfully use their professional expertise, underpinned by helping qualities and interpersonal skills, to assist families build confidence and capacity, and thus buffer against threats to parent and child well-being. It reports on an Australian ethnographic study of services for families with young children. Fifty-two interactions were observed between CFHNs and families in day-stay and home visiting services in Sydney. A new model is presented, based on four partnership activities and the fluid movement between them, to show how CFHNs use their expertise to identify strengths and foster resilience in families in the longer term, without undermining the principles of partnership.

Perceptual-cognitive expertise in sport: some considerations when applying the expert performance approach.

Science.gov (United States)

Williams, A Mark; Ericsson, K Anders

2005-06-01

The number of researchers studying perceptual-cognitive expertise in sport is increasing. The intention in this paper is to review the currently accepted framework for studying expert performance and to consider implications for undertaking research work in the area of perceptual-cognitive expertise in sport. The expert performance approach presents a descriptive and inductive approach for the systematic study of expert performance. The nature of expert performance is initially captured in the laboratory using representative tasks that identify reliably superior performance. Process-tracing measures are employed to determine the mechanisms that mediate expert performance on the task. Finally, the specific types of activities that lead to the acquisition and development of these mediating mechanisms are identified. General principles and mechanisms may be discovered and then validated by more traditional experimental designs. The relevance of this approach to the study of perceptual-cognitive expertise in sport is discussed and suggestions for future work highlighted.

In Respect to the Cognitive Load Theory: Adjusting Instructional Guidance with Student Expertise.

Science.gov (United States)

Schilling, Jim

2017-01-01

The amount of guidance supplied by educators to students in allied health programs is a factor in student learning. According to the cognitive load theory of learning, without adequate instructional support, novice learners will be overwhelmed and unable to store information, while unnecessary guidance supplied to advanced students will cause extraneous cognitive load on the working memory system. Adjusting instructional guidance for students according to their level of expertise to minimize extraneous cognitive load and optimize working memory storage capacity will enhance learning effectiveness. Novice students presented with complex subject matter require significant guidance during the initial stages, using strategies such as worked examples. As students comprehend information, instructional guidance needs to gradually fade to avoid elevated extraneous cognitive load from the expertise reversal effect. An instructional strategy that utilizes a systemic (fixed) or adjustable (adaptive) tapering of guidance to students in allied health programs depending on their expertise will optimize learning capability.

Soft computing methods for geoidal height transformation

Science.gov (United States)

Akyilmaz, O.; Özlüdemir, M. T.; Ayan, T.; Çelik, R. N.

2009-07-01

Soft computing techniques, such as fuzzy logic and artificial neural network (ANN) approaches, have enabled researchers to create precise models for use in many scientific and engineering applications. Applications that can be employed in geodetic studies include the estimation of earth rotation parameters and the determination of mean sea level changes. Another important field of geodesy in which these computing techniques can be applied is geoidal height transformation. We report here our use of a conventional polynomial model, the Adaptive Network-based Fuzzy (or in some publications, Adaptive Neuro-Fuzzy) Inference System (ANFIS), an ANN and a modified ANN approach to approximate geoid heights. These approximation models have been tested on a number of test points. The results obtained through the transformation processes from ellipsoidal heights into local levelling heights have also been compared.

Development of the CAI system for inheritance of maintenance expertise

International Nuclear Information System (INIS)

Hanafusa, Hidemitsu; Chigusa, Naoki; Furuta, Kazuo

2002-01-01

High quality maintenance is required in order to secure the safety of nuclear power plants. The engineers engaged in maintenance activities have to master various knowledge, including the explicit and tacit knowledge of experienced experts, through education and training. Moreover, it is also very important to prevent these knowledge from getting scattered and lost with a change of generation and to share the knowledge or expertise. The purpose of this study is to develop a support system for the next generation experts to help them master and make use of the knowledge of their predecessors. The knowledge or expertise consist of ''knowledge about the maintenance tasks'', ''knowledge about structure/function of plant system/equipment'', and ''individual knowledge based on trouble experience etc.''. The ways this knowledge could be represented were considered first, then this support system was developed based on such representation. (author)

Integrating LCA and EHS expertise in the assessment of nanoparticles

DEFF Research Database (Denmark)

Olsen, Stig Irving; Hankin, Steve; Chaudry, Qasim

DTU with their expertise in LCA have joined forces with IOM in two nanotechnology-related projects, one of which additionally involves and is lead by FERA. The first project, Nancore, includes the evaluation of health risks and environmental impacts over the life cycle concurrently with the devel......DTU with their expertise in LCA have joined forces with IOM in two nanotechnology-related projects, one of which additionally involves and is lead by FERA. The first project, Nancore, includes the evaluation of health risks and environmental impacts over the life cycle concurrently...... the overall environmental impacts of the technology. Through the concurrent assessments, the strengths of the two tools are combined to provide a more qualified assessment of both the health and safety aspects and the life cycle impacts. The overall aim of the second project, sponsored by Defra...

Networking

OpenAIRE

Rauno Lindholm, Daniel; Boisen Devantier, Lykke; Nyborg, Karoline Lykke; Høgsbro, Andreas; Fries, de; Skovlund, Louise

2016-01-01

The purpose of this project was to examine what influencing factor that has had an impact on the presumed increasement of the use of networking among academics on the labour market and how it is expressed. On the basis of the influence from globalization on the labour market it can be concluded that the globalization has transformed the labour market into a market based on the organization of networks. In this new organization there is a greater emphasis on employees having social qualificati...

Workplaces as Transformative Learning Spaces

DEFF Research Database (Denmark)

Maslo, Elina

2010-01-01

some other examples on “successful learning” from the formal, informal and non-formal learning environments, trying to prove those criteria. This presentation provides a view on to new examples on transformative learning spaces we discovered doing research on Workplace Learning in Latvia as a part......Abstract to the Vietnam Forum on Lifelong Learning: Building a Learning Society Hanoi, 7-8 December 2010 Network 2: Competence development as Workplace Learning Title of proposal: Workplaces as Transformative Learning Spaces Author: Elina Maslo, dr. paed., University of Latvia, elina@latnet.lv Key...... words: learning, lifelong learning, adult learning, workplace learning, transformative learning spaces During many years of research on lifelong foreign language learning with very different groups of learners, we found some criteria, which make learning process successful. Since then we tried to find...

Modelling the continuous cooling transformation diagram of engineering steels using neural networks. Part I. Phase regions

Energy Technology Data Exchange (ETDEWEB)

Wolk, P.J. van der; Wang, J. [Delft Univ. of Technology (Netherlands); Sietsma, J.; Zwaag, S. van der [Delft Univ. of Technology, Lab. for Materials Science (Netherlands)

2002-12-01

A neural network model for the calculation of the phase regions of the continuous cooling transformation (CCT) diagram of engineering steels has been developed. The model is based on experimental CCT diagrams of 459 low-alloy steels, and calculates the CCT diagram as a function of composition and austenitisation temperature. In considering the composition, 9 alloying elements are taken into account. The model reproduces the original diagrams rather accurately, with deviations that are not larger than the average experimental inaccuracy of the experimental diagrams. Therefore, it can be considered an adequate alternative to the experimental determination of the CCT diagram of a certain steel within the composition range used. The effects of alloying elements can be quantified, either individually or in combination, with the model. Nonlinear composition dependencies are observed. (orig.)

Combined wavelet transform-artificial neural network use in tablet active content determination by near-infrared spectroscopy.

Science.gov (United States)

Chalus, Pascal; Walter, Serge; Ulmschneider, Michel

2007-05-22

The pharmaceutical industry faces increasing regulatory pressure to optimize quality control. Content uniformity is a basic release test for solid dosage forms. To accelerate test throughput and comply with the Food and Drug Administration's process analytical technology initiative, attention is increasingly turning to nondestructive spectroscopic techniques, notably near-infrared (NIR) spectroscopy (NIRS). However, validation of NIRS using requisite linearity and standard error of prediction (SEP) criteria remains a challenge. This study applied wavelet transformation of the NIR spectra of a commercial tablet to build a model using conventional partial least squares (PLS) regression and an artificial neural network (ANN). Wavelet coefficients in the PLS and ANN models reduced SEP by up to 60% compared to PLS models using mathematical spectra pretreatment. ANN modeling yielded high-linearity calibration and a correlation coefficient exceeding 0.996.

ANALYSIS OF OPTIMUM OPERATING MODES OF POWER TRANSFORMERS UNDER OPERATING CONDITIONS

Directory of Open Access Journals (Sweden)

I. V. Khomenko

2016-12-01

Full Text Available Purpose. The study of parallel operation optimal modes of transformer equipment for a variety of operating conditions: same or different types of transformers, with or without reactive power flows. Methodology. Losses of energy in transformers make 30 % of all losses. Therefore the choice of the economically justified parallel operation of transformers is effective action to reduce losses. Typically, in the calculations of reactive power flows in the transformers are not taken into account. It is interesting to analyze the optimal operating conditions of transformers with and without reactive power flows. Results. Calculations for transformers in distribution networks showed that the inclusion of reactive power flows in transformers significant impact on the calculated optimum regimes of transformers.

Overvoltages transferred from a network of 220 kV to 15.65 kV level of the step-up transformer in HPP 'Bajina Bašta'

Directory of Open Access Journals (Sweden)

Vukelja Petar

2011-01-01

Full Text Available The paper presents the results of research in lightning surge waves and switching overvoltages transferred from a network of 220 kV to the 15.65 kV level of the step-up transformer in HPP 'Bajina Bašta'. Analysis of survey results lead to conclusion that transferred overvoltages can endanger 15.65 kV transformer windings and stator winding insulation. It was therefore suggested for the protection of the 15.65 kV isolation to install metal oxide surge arresters at a suitable place between the power generator bus bars and earthing.

Intelligent Models Performance Improvement Based on Wavelet Algorithm and Logarithmic Transformations in Suspended Sediment Estimation

Directory of Open Access Journals (Sweden)

R. Hajiabadi

2016-10-01

Full Text Available Introduction One reason for the complexity of hydrological phenomena prediction, especially time series is existence of features such as trend, noise and high-frequency oscillations. These complex features, especially noise, can be detected or removed by preprocessing. Appropriate preprocessing causes estimation of these phenomena become easier. Preprocessing in the data driven models such as artificial neural network, gene expression programming, support vector machine, is more effective because the quality of data in these models is important. Present study, by considering diagnosing and data transformation as two different preprocessing, tries to improve the results of intelligent models. In this study two different intelligent models, Artificial Neural Network and Gene Expression Programming, are applied to estimation of daily suspended sediment load. Wavelet transforms and logarithmic transformation is used for diagnosing and data transformation, respectively. Finally, the impacts of preprocessing on the results of intelligent models are evaluated. Materials and Methods In this study, Gene Expression Programming and Artificial Neural Network are used as intelligent models for suspended sediment load estimation, then the impacts of diagnosing and logarithmic transformations approaches as data preprocessor are evaluated and compared to the result improvement. Two different logarithmic transforms are considered in this research, LN and LOG. Wavelet transformation is used to time series denoising. In order to denoising by wavelet transforms, first, time series can be decomposed at one level (Approximation part and detail part and second, high-frequency part (detail will be removed as noise. According to the ability of gene expression programming and artificial neural network to analysis nonlinear systems; daily values of suspended sediment load of the Skunk River in USA, during a 5-year period, are investigated and then estimated.4 years of

Developing a deeper understanding of mathematics teaching expertise : an examination of three Chinese mathematics teachers’ resource systems as windows into their work and expertise

NARCIS (Netherlands)

Pepin, B.E.U.; Xu, B.; Trouche, L.; Wang, C.

2017-01-01

In order to develop a deeper understanding of mathematics teaching expertise, in this study we use the Documentational Approach to Didactics to explore the resource systems of three Chinese mathematics “expert” teachers. Exploiting the Western and Eastern literature we examine the notion of

Building Capacity for Earthquake Monitoring: Linking Regional Networks with the Global Community

Science.gov (United States)

Willemann, R. J.; Lerner-Lam, A.

2006-12-01

Installing or upgrading a seismic monitoring network is often among the mitigation efforts after earthquake disasters, and this is happening in response to the events both in Sumatra during December 2004 and in Pakistan during October 2005. These networks can yield improved hazard assessment, more resilient buildings where they are most needed, and emergency relief directed more quickly to the worst hit areas after the next large earthquake. Several commercial organizations are well prepared for the fleeting opportunity to provide the instruments that comprise a seismic network, including sensors, data loggers, telemetry stations, and the computers and software required for the network center. But seismic monitoring requires more than hardware and software, no matter how advanced. A well-trained staff is required to select appropriate and mutually compatible components, install and maintain telemetered stations, manage and archive data, and perform the analyses that actually yield the intended benefits. Monitoring is more effective when network operators cooperate with a larger community through free and open exchange of data, sharing information about working practices, and international collaboration in research. As an academic consortium, a facility operator and a founding member of the International Federation of Digital Seismographic Networks, IRIS has access to a broad range of expertise with the skills that are required to help design, install, and operate a seismic network and earthquake analysis center, and stimulate the core training for the professional teams required to establish and maintain these facilities. But delivering expertise quickly when and where it is unexpectedly in demand requires advance planning and coordination in order to respond to the needs of organizations that are building a seismic network, either with tight time constraints imposed by the budget cycles of aid agencies following a disastrous earthquake, or as part of more informed

The Development of Information Search Expertise of Research Students

Science.gov (United States)

Kai-Wah Chu, Samuel; Law, Nancy

2008-01-01

This study identifies the development of information search expertise of 12 beginning research students (six in education and six in engineering) who were provided with a set of systematic search training sessions over a period of one year. The study adopts a longitudinal approach in investigating whether there were different stages in the…

Mapping the institutional consolidation of EU human health expertise

NARCIS (Netherlands)

de Ruijter, A.

The EU’s role in the field of human health is solidifying in terms of law and policy, but also with respect to the institutional organisation of human health expertise. In light of the emerging health-care union and questions regarding the nature and scope of a European health law, the institutional

Mapping the institutional consolidation of EU human health expertise

NARCIS (Netherlands)

de Ruijter, Anniek

2016-01-01

The EU’s role in the field of human health is solidifying in terms of law and policy, but also with respect to the institutional organisation of human health expertise. In light of the emerging health-care union and questions regarding the nature and scope of a European health law, the institutional

The role of bureaucratic expertise in nuclear waste policy: Agency power and policy development

International Nuclear Information System (INIS)

Henkels, M.

1989-01-01

The role of agency expertise in the nuclear waste policy process is explored during three periods: (1) 1957-1959 when nuclear wastes entered the public agenda, (2) 1970-1972 when the Atomic Energy Commission attempted to establish a waste repository in Kansas, and (3) 1984-1986 during the Department of Energy's implementation of the Nuclear Waste Policy Act of 1982. The study evaluated whether the preconditions for dependence on or deference to agency expertise have become less favorable, weakening agency control of the policy process. Five factors of expertise power are evaluated, beginning with the agency's role in the nuclear-energy and radioactive-waste information system. Perspectives on nuclear energy generally and of waste issues specifically are examined next; both indicate attitudes on the tractability of the problem and the likelihood of policy success. References to agency behavior and policies are used to evaluate views of agency competency. Finally, views of agency trustworthiness are examined through the comparison of portrayals of agency priorities and motivations. Agency expertise is evaluated in four contexts: (1) Congressional hearings, (2) nationally prominent newspapers, (3) journals of the scientific community, and (4) state and local papers of affected areas. State and tribal officials involved in the 1980s' nuclear waste policy process were surveyed also

Should We Value Knowledge and Expertise? (editorial

Directory of Open Access Journals (Sweden)

Denise Koufogiannakis

2011-09-01

Full Text Available As I write this editorial, I am on an airplane, reflecting on the EBLIP6 conference, held June 27-30, 2011 in Salford, U.K. In my personal opinion, the conference was a great success. There were a wide variety of concurrent paper sessions from an international group of delegates, thought provoking keynotes, and just the right amount of social activity, including the main conference dinner at the Manchester United Football Club! This journal will have a Feature section in our next issue (December that highlights the conference, including keynote presentations, some of the papers that were presented, and commentaries from attendees about the conference itself. So for now, I’ll just offer my warmest congratulations to the organizers.As I left Salford and tried to reflect on what I had learned and discussed with others, there were many things that came to mind. Immediate things that stood out for me had to do with impact, reflection, and the complexity of decision making. The theme of EBLIP6 was “Valuing Knowledge and Expertise”. This is a somewhat controversial theme for an evidence based practice conference, where research evidence and its implementation are the focus, and expert opinion is not generally held in high regard. None of the keynote speakers’ presentations spoke directly to the theme, however several paper presentations did include some reference to the importance of professional knowledge.Expertise is a loaded word, filled with notions of snobbery and over-confidence, even close-mindedness. If anything, those involved with EBLIP remove themselves as far from the notion of “expert” as they can. But if we consider an expert to be someone who has built up a significant amount of professional knowledge (both through experience and research on a topic, then the EBLIP movement should not simply dismiss this notion of “expert”. Perhaps, we more appropriately should consider expert voices (knowledgeable, reasonable

Technological Agency in the Co-Constitution of Legal Expertise and the US Drone Program

DEFF Research Database (Denmark)

Leander, Anna

2013-01-01

over the legal status of the US drone program. Target killing suggests that the drone program may be legally regulated. Extrajudicial execution suggests that it falls outside the realm of legality. This article does not seek to settle which terminology is the most appropriate. Instead it analyses...... the legal expertise struggling to do so and its implications. More specifically, it focuses on the processes through which drones constitute the legal expertise that constitutes the drone program as one of targeted killings and of extrajudicial executions; that is, on a process of co-constitution. Drawing...... theoretical inspiration from and combining new materialist approaches (especially as articulated by Bruno Latour) with the sociological approach of Pierre Bourdieu, the article shows that drones have ‘agency’ in the ‘field’ of legal expertise pertaining to the drone program. Drones are redrawing...

Neural-Network Object-Recognition Program

Science.gov (United States)

Spirkovska, L.; Reid, M. B.

1993-01-01

HONTIOR computer program implements third-order neural network exhibiting invariance under translation, change of scale, and in-plane rotation. Invariance incorporated directly into architecture of network. Only one view of each object needed to train network for two-dimensional-translation-invariant recognition of object. Also used for three-dimensional-transformation-invariant recognition by training network on only set of out-of-plane rotated views. Written in C language.

Losing nuclear expertise - A safety concern

International Nuclear Information System (INIS)

Ziakova, M.

2002-01-01

Full text: Since the mid of eighties several important changes in human beings behaviour, which influence nuclear field, can be observed - the loss of interest in studying technical disciplines (namely nuclear), strong pressure of environmental movements, stagnation of electricity consumption and deregulation of electric markets. All these factors create conditions which are leading to the decrease of job positions related to the nuclear field connected particularly with research, design and engineering. Loss of interest in studying nuclear disciplines together with the decrease of number of job positions has led to the declining of university enrolments, closing of university departments and research reactors. In this manner just a very small number of appropriately educated new experts are brought In the same moment the additional internal factor - the relative ageing of the human workforce on both sites operators of nuclear facilities and research and engineering organisations can be observed. All these factors, if not addressed properly, could lead to the loss of nuclear expertise and the loss of nuclear expertise represents the direct thread to the nuclear safety. The latest studies have shown that at present NPPs cannot be replaced by other kinds of electric sources and in no case by renewable ones in an efficient manner. Therefore it is necessary to carefully manage knowledge gathered in the nuclear field during the years and to keep on the nuclear safety research, education and training to ensure and upgrade safe and reliable operation of existing and future nuclear facilities. This is responsibility of both the governments of the states using nuclear applications and owners of nuclear facilities. (author)

Perceptual learning and human expertise.

Science.gov (United States)

Kellman, Philip J; Garrigan, Patrick

2009-06-01

We consider perceptual learning: experience-induced changes in the way perceivers extract information. Often neglected in scientific accounts of learning and in instruction, perceptual learning is a fundamental contributor to human expertise and is crucial in domains where humans show remarkable levels of attainment, such as language, chess, music, and mathematics. In Section 2, we give a brief history and discuss the relation of perceptual learning to other forms of learning. We consider in Section 3 several specific phenomena, illustrating the scope and characteristics of perceptual learning, including both discovery and fluency effects. We describe abstract perceptual learning, in which structural relationships are discovered and recognized in novel instances that do not share constituent elements or basic features. In Section 4, we consider primary concepts that have been used to explain and model perceptual learning, including receptive field change, selection, and relational recoding. In Section 5, we consider the scope of perceptual learning, contrasting recent research, focused on simple sensory discriminations, with earlier work that emphasized extraction of invariance from varied instances in more complex tasks. Contrary to some recent views, we argue that perceptual learning should not be confined to changes in early sensory analyzers. Phenomena at various levels, we suggest, can be unified by models that emphasize discovery and selection of relevant information. In a final section, we consider the potential role of perceptual learning in educational settings. Most instruction emphasizes facts and procedures that can be verbalized, whereas expertise depends heavily on implicit pattern recognition and selective extraction skills acquired through perceptual learning. We consider reasons why perceptual learning has not been systematically addressed in traditional instruction, and we describe recent successful efforts to create a technology of perceptual

Perceptual learning and human expertise

Science.gov (United States)

Kellman, Philip J.; Garrigan, Patrick

2009-06-01

We consider perceptual learning: experience-induced changes in the way perceivers extract information. Often neglected in scientific accounts of learning and in instruction, perceptual learning is a fundamental contributor to human expertise and is crucial in domains where humans show remarkable levels of attainment, such as language, chess, music, and mathematics. In Section 2, we give a brief history and discuss the relation of perceptual learning to other forms of learning. We consider in Section 3 several specific phenomena, illustrating the scope and characteristics of perceptual learning, including both discovery and fluency effects. We describe abstract perceptual learning, in which structural relationships are discovered and recognized in novel instances that do not share constituent elements or basic features. In Section 4, we consider primary concepts that have been used to explain and model perceptual learning, including receptive field change, selection, and relational recoding. In Section 5, we consider the scope of perceptual learning, contrasting recent research, focused on simple sensory discriminations, with earlier work that emphasized extraction of invariance from varied instances in more complex tasks. Contrary to some recent views, we argue that perceptual learning should not be confined to changes in early sensory analyzers. Phenomena at various levels, we suggest, can be unified by models that emphasize discovery and selection of relevant information. In a final section, we consider the potential role of perceptual learning in educational settings. Most instruction emphasizes facts and procedures that can be verbalized, whereas expertise depends heavily on implicit pattern recognition and selective extraction skills acquired through perceptual learning. We consider reasons why perceptual learning has not been systematically addressed in traditional instruction, and we describe recent successful efforts to create a technology of perceptual

Quantum Optical Realization of Arbitrary Linear Transformations Allowing for Loss and Gain

Science.gov (United States)

Tischler, N.; Rockstuhl, C.; Słowik, K.

2018-04-01

Unitary transformations are routinely modeled and implemented in the field of quantum optics. In contrast, nonunitary transformations, which can involve loss and gain, require a different approach. In this work, we present a universal method to deal with nonunitary networks. An input to the method is an arbitrary linear transformation matrix of optical modes that does not need to adhere to bosonic commutation relations. The method constructs a transformation that includes the network of interest and accounts for full quantum optical effects related to loss and gain. Furthermore, through a decomposition in terms of simple building blocks, it provides a step-by-step implementation recipe, in a manner similar to the decomposition by Reck et al. [Experimental Realization of Any Discrete Unitary Operator, Phys. Rev. Lett. 73, 58 (1994), 10.1103/PhysRevLett.73.58] but applicable to nonunitary transformations. Applications of the method include the implementation of positive-operator-valued measures and the design of probabilistic optical quantum information protocols.

Development scheme for the public electricity transport network - 2006-2020

International Nuclear Information System (INIS)

2006-01-01

After having discussed the role of the development scheme and its mains requirements, presented its important components (energy needs, energy transport needs), and described its elaboration mode, this report gives an overview of the present status of the electricity transport network in France: 400.000 volts transport and interconnection networks, 225.000 volts and high voltage networks, development objectives, development context, transport network characteristics in 2006 (country gridding, development dynamics and consumption growth). Then, it presents a set of hypotheses about consumption, production and European exchanges. It identifies different types of constraints (customer connection, supply safety, electric and economic performance, robustness against extreme climate phenomena) and presents a method to assess these constraints (simulation of situations at risk, supply quality analysis, works expertise). The last part present the middle- and long-term constraints for the network

A low noise single-transistor transimpedance preamplifier for Fourier-transform mass spectrometry using a T feedback network.

Science.gov (United States)

Lin, Tzu-Yung; Green, Roger J; O'Connor, Peter B

2012-09-01

A novel single-transistor transimpedance preamplifier has been introduced for improving performance in Fourier-transform ion cyclotron resonance (FT-ICR) mass spectrometry. A low noise junction field-effect transistor (JFET), BF862, is used as the main amplification stage of this trans-impedance preamplifier, and a T-shaped feedback network is introduced as both the feedback and the gate biasing solutions. The T feedback network has been studied using an operational amplifier (Op Amp), AD8099. Such a feedback system allows ~100-fold less feedback resistance at a given transimpedance, hence preserving bandwidth, which is beneficial to applications demanding high gain. The single-transistor preamplifier yields a tested transimpedance of ~10(4) Ω (80 dBΩ) in the frequency range between 1 kHz and 1 MHz (mass-to-charge ratio, m/z, of around 180-180k for a 12-T FT-ICR system), with a low power consumption of ~6 mW, which implies that this preamplifier is well suited to a 12-T FT-ICR mass spectrometer. In trading noise performance for higher trans-impedance, an alternative preamplifier design, an AD8099 preamplifier with the T feedback network, has also been studied with a capability of ~10(6) Ω (120 dBΩ) transimpedance in the same frequency range. The resistive components in the T feedback network reported here can be replaced by complex impedances, which allows adaptation of this feedback system to other frequency, transimpedance, and noise characteristics for applications not only in other mass spectrometers, such as Orbitrap, time-of-flight (TOF), and ion trap systems, but also in other charge/current detecting systems such as spectroscopy systems, microscopy systems, optical communication systems, or charge-coupled devices (CCDs).

Many faces of expertise: fusiform face area in chess experts and novices.

Science.gov (United States)

Bilalić, Merim; Langner, Robert; Ulrich, Rolf; Grodd, Wolfgang

2011-07-13

The fusiform face area (FFA) is involved in face perception to such an extent that some claim it is a brain module for faces exclusively. The other possibility is that FFA is modulated by experience in individuation in any visual domain, not only faces. Here we test this latter FFA expertise hypothesis using the game of chess as a domain of investigation. We exploited the characteristic of chess, which features multiple objects forming meaningful spatial relations. In three experiments, we show that FFA activity is related to stimulus properties and not to chess skill directly. In all chess and non-chess tasks, experts' FFA was more activated than that of novices' only when they dealt with naturalistic full-board chess positions. When common spatial relationships formed by chess objects in chess positions were randomly disturbed, FFA was again differentially active only in experts, regardless of the actual task. Our experiments show that FFA contributes to the holistic processing of domain-specific multipart stimuli in chess experts. This suggests that FFA may not only mediate human expertise in face recognition but, supporting the expertise hypothesis, may mediate the automatic holistic processing of any highly familiar multipart visual input.

A study on improvement of discharge characteristic by using a transformer in a capacitively coupled plasma

Energy Technology Data Exchange (ETDEWEB)

Kim, Young-Cheol [Department of Nanoscale Semiconductor Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791 (Korea, Republic of); Kim, Hyun-Jun; Lee, Hyo-Chang; Chung, Chin-Wook, E-mail: joykang@hanyang.ac.kr [Department of Electrical Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791 (Korea, Republic of)

2015-12-15

In a plasma discharge system, the power loss at powered line, matching network, and other transmission line can affect the discharge characteristics such as the power transfer efficiency, voltage and current at powered electrode, and plasma density. In this paper, we propose a method to reduce power loss by using a step down transformer mounted between the matching network and the powered electrode in a capacitively coupled argon plasma. This step down transformer decreases the power loss by reducing the current flowing through the matching network and transmission line. As a result, the power transfer efficiency was increased about 5%–10% by using a step down transformer. However, the plasma density was dramatically increased compared to no transformer. This can be understood by the increase in ohmic heating and the decrease in dc-self bias. By simply mounting a transformer, improvement of discharge efficiency can be achieved in capacitively coupled plasmas.

Lay Crowd-Sourced Expertise (LCE) and Its Influence on the New Role of Patients: Ethical and Societal Issues.

Science.gov (United States)

Lamas, Eugenia; Salinas, Rodrigo; Ferrer, Marcela; Bousquet, Cedric; Vuillaume, Dominique

2016-01-01

The emergence of social media on the Internet allows patients to discuss about their chronic diseases within online communities sharing common interests. This allows patients to gather other patients' experience, and gain new knowledge that is usually not shared by healthcare professionals. In this context, further studies are required on the actual impact of the use of social networks on the quality of life of patients participating in these online communities, focusing on the evolving role and impact of Lay Crowdsourced expertise (LCE) in improving disease management and control. We present a study on a large number of posts from social networks of different online communities. This study allowed us to choose four pathologies, with distinctive characteristics relevant for our future analysis, and to define the themes that will be covered in future work by online questionnaires. The analysis of responses from patients, who volunteer to participate, will help us in exploring how interactions between patients, on these online communities, may help them to gain useful information for managing their conditions and improving their quality of life. Furthermore, we will identify new ethical issues that arise in the sharing of health data.

A phenomenological investigation of science center exhibition developers' expertise development

Science.gov (United States)

Young, Denise L.

The purpose of this study was to examine the exhibition developer role in the context of United States (U.S.) science centers, and more specifically, to investigate the way science center exhibition developers build their professional expertise. This research investigated how successfully practicing exhibition developers described their current practices, how they learned to be exhibition developers, and what factors were the most important to the developers in building their professional expertise. Qualitative data was gathered from 10 currently practicing exhibition developers from three science centers: the Exploratorium, San Francisco, California; the Field Museum, Chicago, Illinois; and the Science Museum of Minnesota, St. Paul, Minnesota. In-depth, semistructured interviews were used to collect the data. The study embraced aspects of the phenomenological tradition and sought to derive a holistic understanding of the position and how expertise was built for it. The data were methodically coded and organized into themes prior to analysis. The data analysis found that the position consisted of numerous and varied activities, but the developers' primary roles were advocating for the visitor, storytelling, and mediating information and ideas. They conducted these activities in the context of a team and relied on an established exhibition planning process to guide their work. Developers described a process of learning exhibition development that was experiential in nature. Learning through daily practice was key, though they also consulted with mentors and relied on visitor studies to gauge the effectiveness of their work. They were adept at integrating prior knowledge gained from many aspects of their lives into their practice. The developers described several internal factors that contributed to their expertise development including the desire to help others, a natural curiosity about the world, a commitment to learning, and the ability to accept critique. They

Memory Transformation Enhances Reinforcement Learning in Dynamic Environments.

Science.gov (United States)

Santoro, Adam; Frankland, Paul W; Richards, Blake A

2016-11-30

Over the course of systems consolidation, there is a switch from a reliance on detailed episodic memories to generalized schematic memories. This switch is sometimes referred to as "memory transformation." Here we demonstrate a previously unappreciated benefit of memory transformation, namely, its ability to enhance reinforcement learning in a dynamic environment. We developed a neural network that is trained to find rewards in a foraging task where reward locations are continuously changing. The network can use memories for specific locations (episodic memories) and statistical patterns of locations (schematic memories) to guide its search. We find that switching from an episodic to a schematic strategy over time leads to enhanced performance due to the tendency for the reward location to be highly correlated with itself in the short-term, but regress to a stable distribution in the long-term. We also show that the statistics of the environment determine the optimal utilization of both types of memory. Our work recasts the theoretical question of why memory transformation occurs, shifting the focus from the avoidance of memory interference toward the enhancement of reinforcement learning across multiple timescales. As time passes, memories transform from a highly detailed state to a more gist-like state, in a process called "memory transformation." Theories of memory transformation speak to its advantages in terms of reducing memory interference, increasing memory robustness, and building models of the environment. However, the role of memory transformation from the perspective of an agent that continuously acts and receives reward in its environment is not well explored. In this work, we demonstrate a view of memory transformation that defines it as a way of optimizing behavior across multiple timescales. Copyright © 2016 the authors 0270-6474/16/3612228-15$15.00/0.

Expertise: Myth or Reality of a Cross-National Definition?

Science.gov (United States)

Germain, Marie-Line; Ruiz, Carlos Enrique

2009-01-01

Purpose: The purpose of this paper is to offer a comparison of how human expertise is perceived by human resource development (HRD) scholars across several Western European countries and in the USA. Design/methodology/approach: A qualitative, exploratory approach using electronic mail was used for this study. In total, 36 leading HRD scholars from…

Brain correlates of aesthetic expertise: A parametric fMRI study

DEFF Research Database (Denmark)

Kirk, Ulrich; Skov, Martin; Christensen, Mark Schram

2009-01-01

Several studies have demonstrated that acquired expertise influences aesthetic judgments. In this paradigm we used functional magnetic resonance imaging (fMRI) to study aesthetic judgments of visually presented architectural stimuli and control-stimuli (faces) for a group of architects and a grou...

High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance.

Science.gov (United States)

McGugin, Rankin Williams; Gatenby, J Christopher; Gore, John C; Gauthier, Isabel

2012-10-16

The fusiform face area (FFA) is a region of human cortex that responds selectively to faces, but whether it supports a more general function relevant for perceptual expertise is debated. Although both faces and objects of expertise engage many brain areas, the FFA remains the focus of the strongest modular claims and the clearest predictions about expertise. Functional MRI studies at standard-resolution (SR-fMRI) have found responses in the FFA for nonface objects of expertise, but high-resolution fMRI (HR-fMRI) in the FFA [Grill-Spector K, et al. (2006) Nat Neurosci 9:1177-1185] and neurophysiology in face patches in the monkey brain [Tsao DY, et al. (2006) Science 311:670-674] reveal no reliable selectivity for objects. It is thus possible that FFA responses to objects with SR-fMRI are a result of spatial blurring of responses from nonface-selective areas, potentially driven by attention to objects of expertise. Using HR-fMRI in two experiments, we provide evidence of reliable responses to cars in the FFA that correlate with behavioral car expertise. Effects of expertise in the FFA for nonface objects cannot be attributed to spatial blurring beyond the scale at which modular claims have been made, and within the lateral fusiform gyrus, they are restricted to a small area (200 mm(2) on the right and 50 mm(2) on the left) centered on the peak of face selectivity. Experience with a category may be sufficient to explain the spatially clustered face selectivity observed in this region.

The Politics of Neutrality and the Changing Role of Expertise in Public Administration

DEFF Research Database (Denmark)

Triantafillou, Peter

2015-01-01

This article explores and discusses the ongoing attempt to reinstate an ethos of neutrality in public administration. It focuses on the political benefits and costs of contemporary strategies in public administration for using expertise based on an ethos of neutrality. On the one hand, expertise...... may serve to allow a particular form of value neutrality that curbs abuse of political office, questions received wisdom on the efficacy of policy interventions, and thereby holds the potential to minimize the waste of public resources employed to meet political goals. On the other hand, the use...

"If You Have to Ask, You'll Never Know": Effects of Specialised Stylistic Expertise on Predictive Processing of Music

OpenAIRE

Hansen, Niels Chr.; Vuust, Peter; Pearce, Marcus

2016-01-01

Musical expertise entails meticulous stylistic specialisation and enculturation. Even so, research on musical training effects has focused on generalised comparisons between musicians and non-musicians, and cross-cultural work addressing specialised expertise has traded cultural specificity and sensitivity for other methodological limitations. This study aimed to experimentally dissociate the effects of specialised stylistic training and general musical expertise on the perception of melodies...

Detroit Works Long-Term Planning Project: Engagement Strategies for Blending Community and Technical Expertise

Directory of Open Access Journals (Sweden)

Toni L. Griffin

2014-10-01

Full Text Available In January 2013, civic leaders, community stakeholders, and residents came together to release Detroit Future City: 2012 Detroit Strategic Framework Plan, a guiding blueprint for transforming Detroit from its current state of population loss and excessive vacancy into a model for the reinvention of post-industrial American cities. Three years prior, the U.S. Census had reported that the city had lost 24% of its population over the last decade and had experienced a 20% increase in vacant and abandoned property, bringing total vacancy to roughly the size of Manhattan. In addition to physical and economic challenges, Detroiters had also acknowledged significant barriers to effective civic engagement. Foremost among these barriers were a profound sense of immobilization, planning fatigue, and a general perception of cynicism about planning and engagement efforts. These challenges were compounded by historic racial dynamics and tension. This case study elaborates on the comprehensive and innovative civic engagement executed in a citywide planning process called the Detroit Works Project, which took place from late 2010 through late 2012. For the citywide planning process to be successful and sustainable, civic leaders and project funders committed to a planning initiative that would be different from previous efforts, in large part because the “owners” of the process would be diverse and inclusive across all community sectors. The case study, written by three of the key consultants from the project, describes four key civic engagement strategies deployed in the creation of the strategic framework: (1 addressing profound challenges of culture, race, and politics by deliberately building trust; (2 elevating community expertise by fostering a sense of ownership of the process; (3 blending technical and community expertise; and (4 viewing civic engagement as an ongoing two-way conversation rather than a series of large-scale episodic events. This

About the 'scientification' of politics by way of scientific expertise by advisory bodies. Social science expertise and desicion-making in social problem areas in the Federal Republic of Germany

International Nuclear Information System (INIS)

Wagner, P.

1985-01-01

Taking the examples of the Council of Economic Advisors, the Education Council and the Federal Parliament's Commission of Inquiry on Future Nuclear Energy Policy, this paper analyses political situations in the Federal Republic of Germany in which social science expertise entered public debate and decision-making in certain social problem areas in a very pronounced way. By considering the social context in which these advisory bodies were created, an attempt is made to link an analysis of different social actors' interests to a review of existing knowledge and patterns of interpretation in the social sciences. It is shown that by using social science findings some actors achieved advantages in justifying and legitimating their political positions and that subsequently the relations of actors in some arenas of conflict changed-without, however, allowing to relate this causally only to the use of scientific knowledge. If, however, the use of scientific arguments is rapidly generalized, the confrontation of expertise and counter-expertise by opposing actors becomes usual practice. This, in turn, provides for questions concerning their 'scientificity', which the social sciences are asked to take up in reflections of their relation to social practice. (orig./HSCH) [de

Exploring Integration in Action: Competencies as Building Blocks of Expertise.

Science.gov (United States)

Mylopoulos, Maria; Borschel, Debaroti Tina; O'Brien, Tara; Martimianakis, Sofia; Woods, Nicole N

2017-12-01

Competency frameworks such as the CanMEDS roles and the ACGME core competencies may lead to the implicit assumption that physicians can learn and practice individual competencies in isolation. In contrast, models of adaptive expertise suggest that the integration of competencies reflects the capabilities of an expert physician. Thus, educational programming aimed at teaching discrete roles or competencies might overlook expert physician capabilities that are central to patient care. To develop expertise, learning opportunities must reflect expert capabilities. To better understand the relationship between competency-based medical education and expert development, the authors sought to explore how integrated competencies are enacted during patient care by postgraduate medical trainees. Using a cognitive ethnographic approach, in 2014-2015 the authors conducted observations and-to refine and elaborate these observations-ad hoc informal interviews with 13 postgraduate trainee participants. Data collection resulted in 92 hours of observation, 26 patient case portraits, and a total of 220 pages of field notes for analysis. Through analysis, the authors identified and examined moments when postgraduate trainees appeared to be simultaneously enacting multiple competencies. The authors identified two key expert capabilities in moments of integrated competence: finding complexity and being patient-centered. They described two mechanisms for these forms of integration: valuing the patient's narrative of their illness, and integrated understanding. Understanding integrated competencies as the building blocks of expert capabilities, along with recognizing the importance of mechanisms that support integration, offers an opportunity to use existing competency-based frameworks to understand and teach adaptive expertise.

From the network city to the neo-liberal city

DEFF Research Database (Denmark)

Ribeiro, Gustavo

2005-01-01

Network Cities: Globalization and Urban Transformation in Oslo, Stockholm and Copenhagen aims to probe relationships between planning discourses, planning practices and urban transformations. By bringing together practitioners and academics we aim at focussing the discussion on developments...... in the three Schandinavian capitals, namely Oslo, Stockholm and Copenhagen. Relationships between urban transformations and global networks (economic, cultural, informational), are closely related to considerations by planners, decision makers and academics about themes such as the competition between cities......, the forging of regional identities, the impact of information technologies on urban development, the development of networked infrastructures (transport, telecommunications) and spatial consequences such as the changing status of public space, social polarization, amongst others. The central purpose...

Reactor pressure vessel and reactor coolant circuit cast duplex stainless steel components contribution of the expertise for life management studies

International Nuclear Information System (INIS)

Bezdikian, Georges

2006-09-01

The life management of French Nuclear Power Plants is a major stake from an economic and a technical point of view considering the aging management assessment of the key components of the plant. The actual life evaluation is the result of prediction of life assessment from important program of expertise for the 3-loop PWR and 4-loop PWR plants in operation. To optimize the strategic policy in order to achieve the best possible performance and to prepare the technical and economical choice and decision, the paper presents the association of life management strategy and the program of expertise considering: - the identification of degradation for different components and prediction criteria proposed; - the large database from cast reactor coolant and component removed from nuclear power plants and expertise studies to confirm the prediction; - the life evaluation of RPV with radiation surveillance program based on the expertise of irradiation capsules, it is particularly shown how the expertise is in the center of the strategic choice. The French utility has organized the life management of nuclear plant as a function of several programs of expertise of knowledge on the long term experience feedback and the maintenance program for life. This paper shows updated on RPV and reactor coolant equipment activities engaged by utility on: - periodic maintenance and volume of expertise; - Alternative maintenance actions; - Large volume of expertise and how are managed these results to predict the aging management. (author)

Frequency analysis of DC tolerant current transformers

International Nuclear Information System (INIS)

Mlejnek, P; Kaspar, P

2013-01-01

This article deals with wide frequency range behaviour of DC tolerant current transformers that are usually used in modern static energy meters. In this application current transformers must comply with European and International Standards in their accuracy and DC tolerance. Therefore, the linear DC tolerant current transformers and double core current transformers are used in this field. More details about the problems of these particular types of transformers can be found in our previous works. Although these transformers are designed mainly for power distribution network frequency (50/60 Hz), it can be interesting to understand their behaviour in wider frequency range. Based on this knowledge the new generations of energy meters with measuring quality of electric energy will be produced. This solution brings better measurement of consumption of nonlinear loads or measurement of non-sinusoidal voltage and current sources such as solar cells or fuel cells. The determination of actual power consumption in such energy meters is done using particular harmonics component of current and voltage. We measured the phase and ratio errors that are the most important parameters of current transformers, to characterize several samples of current transformers of both types

"If You Have to Ask, You'll Never Know": Effects of Specialised Stylistic Expertise on Predictive Processing of Music

DEFF Research Database (Denmark)

Hansen, Niels Christian; Vuust, Peter; Pearce, Marcus

2016-01-01

Musical expertise entails meticulous stylistic specialisation and enculturation. Even so, research on musical training effects has focused on generalised comparisons between musicians and non-musicians, and cross-cultural work addressing specialised expertise has traded cultural specificity and s......-musicians and classical musicians used a stylistically irrelevant cognitive model of general tonal music providing support for the theory of cognitive firewalls between stylistic models in predictive processing of music.......Musical expertise entails meticulous stylistic specialisation and enculturation. Even so, research on musical training effects has focused on generalised comparisons between musicians and non-musicians, and cross-cultural work addressing specialised expertise has traded cultural specificity...... and sensitivity for other methodological limitations. This study aimed to experimentally dissociate the effects of specialised stylistic training and general musical expertise on the perception of melodies. Non-musicians and professional musicians specialising in classical music or jazz listened to sampled...

Towards identifying programming expertise with the use of physiological measures

DEFF Research Database (Denmark)

Kontogiorgos, Dimosthenis; Manikas, Konstantinos

2015-01-01

In this position paper we propose means of measuring programming expertise on novice and expert programmers. Our approach is to measure the cognitive load of programmers while they assess Java/Python code in accordance with their experience in programming. Our hypothesis is that expert programmers...

An Approach for Designing and Implementing Middleware in Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Ronald Beaubrun

2012-03-01

Full Text Available In this paper, we propose an approach for designing and implementing a middleware for data dissemination in Wireless Sensor Networks (WSNs. The designing aspect considers three perspectives: device, network and application. Each application layer is implemented as an independent Component Object Model (COM Project which offers portability, security, reusability and domain expertise encapsulation. For result analysis, the percentage of success is used as performance parameter. Such analysis reveals that the middleware enables to greatly increase the percentage of success of the messages disseminated in a WSN.

Exergy analysis of an ejector-absorption heat transformer using artificial neural network approach

International Nuclear Information System (INIS)

Soezen, Adnan; Arcaklioglu, Erol

2007-01-01

This paper proposes artificial neural networks (ANNs) technique as a new approach to determine the exergy losses of an ejector-absorption heat transformer (EAHT). Thermodynamic analysis of the EAHT is too complex due to complex differential equations and complex simulations programs. ANN technique facilitates these complicated situations. This study is considered to be helpful in predicting the exergetic performance of components of an EAHT prior to its setting up in a thermal system where the working temperatures are known. The best approach was investigated using different algorithms with developed software. The best statistical coefficient of multiple determinations (R 2 -value) for training data equals to 0.999715, 0.995627, 0.999497, and 0.997648 obtained by different algorithms with seven neurons for the non-dimensional exergy losses of evaporator, generator, absorber and condenser, respectively. Similarly these values for testing data are 0.999774, 0.994039, 0.999613 and 0.99938, respectively. The results show that this approach has the advantages of computational speed, low cost for feasibility, rapid turnaround, which is especially important during iterative design phases, and easy of design by operators with little technical experience

Sharing more widely: data at the heart of evidence, policy and transformation at Defra

OpenAIRE

Cameron, Kath; Janusz, Stefan; Pilley, Vanessa; Amin, Farhana; Wilkinson, Steve; Hicks, Jonathan; Gauntlett, Francesca; Kass, Gary; Rose, Mike; Oliver, Sophia; Miles, Emily; Boyd, Ian

2017-01-01

Defra (the Department for the Environment, Food and Rural Affairs) and its network of arm’s length bodies – the Environment Agency, Natural England, the Marine Management Organisation, Kew Gardens, the Centre for Environment, Fisheries and Aquatic Science and the Animal and Plant Health Agency – produce large amounts of data. This has been instrumental in providing evidence to support the development and delivery of key policies. Historically, expertise has been embedded in subjectsp...

A deep learning framework for causal shape transformation.

Science.gov (United States)

Lore, Kin Gwn; Stoecklein, Daniel; Davies, Michael; Ganapathysubramanian, Baskar; Sarkar, Soumik

2018-02-01

Recurrent neural network (RNN) and Long Short-term Memory (LSTM) networks are the common go-to architecture for exploiting sequential information where the output is dependent on a sequence of inputs. However, in most considered problems, the dependencies typically lie in the latent domain which may not be suitable for applications involving the prediction of a step-wise transformation sequence that is dependent on the previous states only in the visible domain with a known terminal state. We propose a hybrid architecture of convolution neural networks (CNN) and stacked autoencoders (SAE) to learn a sequence of causal actions that nonlinearly transform an input visual pattern or distribution into a target visual pattern or distribution with the same support and demonstrated its practicality in a real-world engineering problem involving the physics of fluids. We solved a high-dimensional one-to-many inverse mapping problem concerning microfluidic flow sculpting, where the use of deep learning methods as an inverse map is very seldom explored. This work serves as a fruitful use-case to applied scientists and engineers in how deep learning can be beneficial as a solution for high-dimensional physical problems, and potentially opening doors to impactful advance in fields such as material sciences and medical biology where multistep topological transformations is a key element. Copyright © 2017 Elsevier Ltd. All rights reserved.

Cognitive-psychology expertise and the calculation of the probability of a wrongful conviction.

Science.gov (United States)

Rouder, Jeffrey N; Wixted, John T; Christenfeld, Nicholas J S

2018-05-08

Cognitive psychologists are familiar with how their expertise in understanding human perception, memory, and decision-making is applicable to the justice system. They may be less familiar with how their expertise in statistical decision-making and their comfort working in noisy real-world environments is just as applicable. Here we show how this expertise in ideal-observer models may be leveraged to calculate the probability of guilt of Gary Leiterman, a man convicted of murder on the basis of DNA evidence. We show by common probability theory that Leiterman is likely a victim of a tragic contamination event rather than a murderer. Making any calculation of the probability of guilt necessarily relies on subjective assumptions. The conclusion about Leiterman's innocence is not overly sensitive to the assumptions-the probability of innocence remains high for a wide range of reasonable assumptions. We note that cognitive psychologists may be well suited to make these calculations because as working scientists they may be comfortable with the role a reasonable degree of subjectivity plays in analysis.

Navigating transformations in governance of Chilean marine coastal resources

Science.gov (United States)

Gelcich, Stefan; Hughes, Terry P.; Olsson, Per; Folke, Carl; Defeo, Omar; Fernández, Miriam; Foale, Simon; Gunderson, Lance H.; Rodríguez-Sickert, Carlos; Scheffer, Marten; Steneck, Robert S.; Castilla, Juan C.

2010-01-01

Marine ecosystems are in decline. New transformational changes in governance are urgently required to cope with overfishing, pollution, global changes, and other drivers of degradation. Here we explore social, political, and ecological aspects of a transformation in governance of Chile's coastal marine resources, from 1980 to today. Critical elements in the initial preparatory phase of the transformation were (i) recognition of the depletion of resource stocks, (ii) scientific knowledge on the ecology and resilience of targeted species and their role in ecosystem dynamics, and (iii) demonstration-scale experimental trials, building on smaller-scale scientific experiments, which identified new management pathways. The trials improved cooperation among scientists and fishers, integrating knowledge and establishing trust. Political turbulence and resource stock collapse provided a window of opportunity that triggered the transformation, supported by new enabling legislation. Essential elements to navigate this transformation were the ability to network knowledge from the local level to influence the decision-making processes at the national level, and a preexisting social network of fishers that provided political leverage through a national confederation of artisanal fishing collectives. The resultant governance scheme includes a revolutionary national system of marine tenure that allocates user rights and responsibilities to fisher collectives. Although fine tuning is necessary to build resilience of this new regime, this transformation has improved the sustainability of the interconnected social–ecological system. Our analysis of how this transformation unfolded provides insights into how the Chilean system could be further developed and identifies generalized pathways for improved governance of marine resources around the world. PMID:20837530

Strategic Transformation of Special Libraries

Institute of Scientific and Technical Information of China (English)

刘细文

2015-01-01

Under the shocks of digitalization and networking,National Science Library of the Chinese Academy of Sciences(NSLC)has executed the transformation strategy for knowledge-based services,and fully pushed forward the literature information services of NSLC.Supervised by the Chinese Academy of Sciences(CAS),NSLC has established the Literature and Information Branch of Chinese Alliance of

Harnessing the Department of Energy’s High-Performance Computing Expertise to Strengthen the U.S. Chemical Enterprise

Energy Technology Data Exchange (ETDEWEB)

Dixon, David A.; Dupuis, Michel; Garrett, Bruce C.; Neaton, Jeffrey B.; Plata, Charity; Tarr, Matthew A.; Tomb, Jean-Francois; Golab, Joseph T.

2012-01-17

High-performance computing (HPC) is one area where the DOE has developed extensive expertise and capability. However, this expertise currently is not properly shared with or used by the private sector to speed product development, enable industry to move rapidly into new areas, and improve product quality. Such use would lead to substantial competitive advantages in global markets and yield important economic returns for the United States. To stimulate the dissemination of DOE's HPC expertise, the Council for Chemical Research (CCR) and the DOE jointly held a workshop on this topic. Four important energy topic areas were chosen as the focus of the meeting: Biomass/Bioenergy, Catalytic Materials, Energy Storage, and Photovoltaics. Academic, industrial, and government experts in these topic areas participated in the workshop to identify industry needs, evaluate the current state of expertise, offer proposed actions and strategies, and forecast the expected benefits of implementing those strategies.

Quantum Networks: General theory and applications

International Nuclear Information System (INIS)

Bisio, A.; D'Ariano, G. M.; Perinotti, P.; Chiribella, G.

2011-01-01

In this work we present a general mathematical framework to deal with Quantum Networks, i.e. networks resulting from the interconnection of elementary quantum circuits. The cornerstone of our approach is a generalization of the Choi isomorphism that allows one to efficiently represent any given Quantum Network in terms of a single positive operator. Our formalism allows one to face and solve many quantum information processing problems that would be hardly manageable otherwise, the most relevant of which are reviewed in this work: quantum process tomography, quantum cloning and learning of transformations, inversion of a unitary gate, information-disturbance tradeoff in estimating a unitary transformation, cloning and learning of a measurement device (Authors)

DEVELOPING A MODEL OF COMPETENCY AND EXPERTISE CERTIFICATION TESTS FOR VOCATIONAL HIGH SCHOOL STUDENTS

Directory of Open Access Journals (Sweden)

Pardjono Pardjono

2015-12-01

Full Text Available This study aims to: (1 develop, produce, and investigate the appropriateness model of competency and expertise certification tests for vocational high school (VHS students of the Mechanical Engineering expertise competency.To attain the objectives, the researcher conducted a research and development study consisting of 10 steps. The research product was validated by experts, VHS teachers, and lecturers at Mechanical Engineering Education through Focus Group Discussion (FGD, and the field tryout conducted at SMK Warga Surakarta and SMK Bhineka Karya Simo, Boyolali, Central Java. The results of the study are. (1 The study produces a model of Competency and Expertise Certification Tests Based on the School Production Unit (CECT_SPU for VHS Students of the Mechanical Engineering Expertise Competency; (2 The CECT_SPU model satisfies the criteria for a good modelby a mean score of 3.557; (3 The mean score of the model implementation in the tryouts were 3.670 in the individual tryout and 3.730 in the small-group tryout;  (4 The CECT_SPU model satisfies the criteria for an effective modelby a mean score of 3.730; (5 The CECT_SPU model satisfies the criteria for an efficient modelby a mean score of 3.780; (6 The CECT_SPU model satisfies the criteria for a practical model; by a mean score of 3.700.

Role of expertise and contralateral symmetry in the diagnosis of pneumoconiosis: an experimental study

Science.gov (United States)

Jampani, Varun; Vaidya, Vivek; Sivaswamy, Jayanthi; Tourani, Kishore L.

2011-03-01

Pneumoconiosis, a lung disease caused by the inhalation of dust, is mainly diagnosed using chest radiographs. The effects of using contralateral symmetric (CS) information present in chest radiographs in the diagnosis of pneumoconiosis are studied using an eye tracking experimental study. The role of expertise and the influence of CS information on the performance of readers with different expertise level are also of interest. Experimental subjects ranging from novices & medical students to staff radiologists were presented with 17 double and 16 single lung images, and were asked to give profusion ratings for each lung zone. Eye movements and the time for their diagnosis were also recorded. Kruskal-Wallis test (χ2(6) = 13.38, p = .038), showed that the observer error (average sum of absolute differences) in double lung images differed significantly across the different expertise categories when considering all the participants. Wilcoxon-signed rank test indicated that the observer error was significantly higher for single-lung images (Z = 3.13, p error between single and double lung images is significantly higher in doctors [staff & residents] than in non-doctors [others]. Thus, Expertise & CS information plays a significant role in the diagnosis of pneumoconiosis. CS information helps in diagnosing pneumoconiosis by reducing the general tendency of giving less profusion ratings. Training and experience appear to play important roles in learning to use the CS information present in the chest radiographs.

Multi-linear model of transformation of runoff in river-basins

International Nuclear Information System (INIS)

Szolgay, J.; Kubes, R.

2005-01-01

The component part of atmospheric precipitations-runoff model of Hron River is a individual model of transformation of flows in river network, too, which transforms runoff from separate partial catchment basin into terminal profile. This component of precipitations-runoff model can also be used as individual hydrologic transformation model of runoff waves in river-basin. Identification and calibration of this model is realised independently on precipitations-runoff model of Hron River, which is described in this chapter in detail.

Invariant object recognition based on the generalized discrete radon transform

Science.gov (United States)

Easley, Glenn R.; Colonna, Flavia

2004-04-01

We introduce a method for classifying objects based on special cases of the generalized discrete Radon transform. We adjust the transform and the corresponding ridgelet transform by means of circular shifting and a singular value decomposition (SVD) to obtain a translation, rotation and scaling invariant set of feature vectors. We then use a back-propagation neural network to classify the input feature vectors. We conclude with experimental results and compare these with other invariant recognition methods.

DC injection into low voltage AC networks

Energy Technology Data Exchange (ETDEWEB)

NONE

2005-07-01

This report summarises the results of a study investigating the impact of levels of injected DC current injections on a low voltage AC distribution network systems in order to recommend acceptable limits of DC from microgeneration. Relevant literature is reviewed, and the impact of DC levels in distribution transformers, transformer modelling, and instrumental transformers are discussed. The impact of DC in residual current devices (RCD) and in domestic electricity watt hour meters is examined along with DC enhanced corrosion, corrosion failure, and the measurement of DC current injection. Sources of DC injection outlined include DC from computer power supplies, network faults, geomagnetic phenomena, lighting circuits/dimmers, and embedded generators.

Representation of neural networks as Lotka-Volterra systems

International Nuclear Information System (INIS)

Moreau, Yves; Vandewalle, Joos; Louies, Stephane; Brenig, Leon

1999-01-01

We study changes of coordinates that allow the representation of the ordinary differential equations describing continuous-time recurrent neural networks into differential equations describing predator-prey models--also called Lotka-Volterra systems. We transform the equations for the neural network first into quasi-monomial form, where we express the vector field of the dynamical system as a linear combination of products of powers of the variables. In practice, this transformation is possible only if the activation function is the hyperbolic tangent or the logistic sigmoied. From this quasi-monomial form, we can directly transform the system further into Lotka-Volterra equations. The resulting Lotka-Volterra system is of higher dimension than the original system, but the behavior of its first variables is equivalent to the behavior of the original neural network

The Inverse Relation Between Risks and Benefits: The Role of Affect and Expertise.

Science.gov (United States)

Sokolowska, Joanna; Sleboda, Patrycja

2015-07-01

Although risk and benefits of risky activities are positively correlated in the real world, empirical results indicate that people perceive them as negatively correlated. The common explanation is that confounding benefits and losses stems from affect. In this article, we address the issue that has not been clearly established in studies on the affect heuristic: to what extent boundary conditions, such as judgments' generality and expertise, influence the presence of the inverse relation in judgments of hazards. These conditions were examined in four studies in which respondents evaluated general or specific benefits and risks of "affect-rich" and "affect-poor" hazards (ranging from investments to applications of stem cell research). In line with previous research, affect is defined as good or bad feelings integral to a stimulus. In contrast to previous research, affect is considered as related both to personal feelings and to social controversies associated with a hazard. Expertise is related to personal knowledge (laypersons vs. experts) as well as to objective knowledge (targets well vs. poorly known to science). The direct comparison of the input from personal and objective ignorance into the inverse relation has not been investigated previously. It was found that affect invoked by a hazard guides general but not specific judgments of its benefits and risks. Technical expertise helps to avoid simplified evaluations of consequences as long as they are well known to science. For new, poorly understood hazards (e.g., stem cell research), expertise does not protect from the perception of the inverse relation between benefits and risks. © 2015 Society for Risk Analysis.

Teacher knowledge, instructional expertise, and the development of reading proficiency.

Science.gov (United States)

Reid Lyon, G; Weiser, Beverly

2009-01-01

Teacher knowledge and instructional expertise have been found in correlational and pre- and posttest studies to be related to student reading achievement. This article summarizes data presented in this special issue and additional research to address four questions: (a) What do expert reading teachers know? (b) Why do teachers need to acquire this knowledge? (c) Do teachers believe they have this knowledge? and (d) Are teachers being adequately prepared to teach reading? Well-designed studies relevant to this topic have been sparse with a noticeable lack of attention given to identifying specific causal links between teacher knowledge, teaching expertise, and student reading achievement. Until the appropriate research designs and methodologies are applied to address the question of causal effects, conclusions about the specific content that teachers must know and the instructional practices that are most beneficial in presenting this content are preliminary at best. Future studies of the effect of essential reading content knowledge must be extended beyond word-level skills to vocabulary, reading comprehension, and writing.

Strategic science: new frameworks to bring scientific expertise to environmental disaster response

Science.gov (United States)

Stoepler, Teresa Michelle; Ludwig, Kristin A.

2015-01-01

Science is critical to society’s ability to prepare for, respond to, and recover from environmental crises. Natural and technological disasters such as disease outbreaks, volcanic eruptions, hurricanes, oil spills, and tsunamis require coordinated scientific expertise across a range of disciplines to shape effective policies and protocols. Five years after the Deepwater Horizon oil spill, new organizational frameworks have arisen for scientists and engineers to apply their expertise to disaster response and recovery in a variety of capacities. Here, we describe examples of these opportunities, including an exciting new collaboration between the Association for the Sciences of Limnology and Oceanography (ASLO) and the Department of the Interior’s (DOI) Strategic Sciences Group (SSG).

Adaptive Neuron Model: An architecture for the rapid learning of nonlinear topological transformations

Science.gov (United States)

Tawel, Raoul (Inventor)

1994-01-01

A method for the rapid learning of nonlinear mappings and topological transformations using a dynamically reconfigurable artificial neural network is presented. This fully-recurrent Adaptive Neuron Model (ANM) network was applied to the highly degenerate inverse kinematics problem in robotics, and its performance evaluation is bench-marked. Once trained, the resulting neuromorphic architecture was implemented in custom analog neural network hardware and the parameters capturing the functional transformation downloaded onto the system. This neuroprocessor, capable of 10(exp 9) ops/sec, was interfaced directly to a three degree of freedom Heathkit robotic manipulator. Calculation of the hardware feed-forward pass for this mapping was benchmarked at approximately 10 microsec.

Heart murmur detection based on wavelet transformation and a synergy between artificial neural network and modified neighbor annealing methods.

Science.gov (United States)

Eslamizadeh, Gholamhossein; Barati, Ramin

2017-05-01

Early recognition of heart disease plays a vital role in saving lives. Heart murmurs are one of the common heart problems. In this study, Artificial Neural Network (ANN) is trained with Modified Neighbor Annealing (MNA) to classify heart cycles into normal and murmur classes. Heart cycles are separated from heart sounds using wavelet transformer. The network inputs are features extracted from individual heart cycles, and two classification outputs. Classification accuracy of the proposed model is compared with five multilayer perceptron trained with Levenberg-Marquardt, Extreme-learning-machine, back-propagation, simulated-annealing, and neighbor-annealing algorithms. It is also compared with a Self-Organizing Map (SOM) ANN. The proposed model is trained and tested using real heart sounds available in the Pascal database to show the applicability of the proposed scheme. Also, a device to record real heart sounds has been developed and used for comparison purposes too. Based on the results of this study, MNA can be used to produce considerable results as a heart cycle classifier. Copyright © 2017 Elsevier B.V. All rights reserved.

Defense Transformation: Background and Oversight Issues for Congress

National Research Council Canada - National Science Library

O'Rourke, Ronald

2004-01-01

.... The Administration's vision for defense transformation calls for shifting the U.S. military toward a greater reliance on joint operations, network-centric warfare, effects-based operations, speed and agility, and precision application of firepower...

What European gynaecologists need to master: Consensus on medical expertise outcomes of pan-European postgraduate training in obstetrics & gynaecology.

Science.gov (United States)

van der Aa, Jessica E; Tancredi, Annalisa; Goverde, Angelique J; Velebil, Petr; Feyereisl, Jaroslav; Benedetto, Chiara; Teunissen, Pim W; Scheele, Fedde

2017-09-01

European harmonisation of training standards in postgraduate medical education in Obstetrics and Gynaecology is needed because of the increasing mobility of medical specialists. Harmonisation of training will provide quality assurance of training and promote high quality care throughout Europe. Pan-European training standards should describe medical expertise outcomes that are required from the European gynaecologist. This paper reports on consensus development on the medical expertise outcomes of pan-European training in Obstetrics and Gynaecology. A Delphi procedure was performed amongst European gynaecologists and trainees in Obstetrics & Gynaecology, to develop consensus on outcomes of training. The consensus procedure consisted of two questionnaire rounds, followed by a consensus meeting. To ensure reasonability and feasibility for implementation of the training standards in Europe, implications of the outcomes were considered in a working group thereafter. We invited 142 gynaecologists and trainees in Obstetrics & Gynaecology for participation representing a wide range of European countries. They were selected through the European Board & College of Obstetrics and Gynaecology and the European Network of Trainees in Obstetrics & Gynaecology. Sixty people participated in round 1 and 2 of the consensus procedure, 38 (63.3%) of whom were gynaecologists and 22 (36.7%) were trainees in Obstetrics & Gynaecology. Twenty-eight European countries were represented in this response. Round 3 of the consensus procedure was performed in a consensus meeting with six experts. Implications of the training outcomes were discussed in a working group meeting, to ensure reasonability and feasibility of the material for implementation in Europe. The entire consensus procedure resulted in a core content of training standards of 188 outcomes, categorised in ten topics. European consensus was developed regarding the medical expertise outcomes of pan-European training in Obstetrics and

Y-Source Impedance Network

DEFF Research Database (Denmark)

Siwakoti, Yam Prasad; Loh, Poh Chiang; Blaabjerg, Frede

2014-01-01

This letter introduces a new versatile Y-shaped impedance network for realizing converters that demand a very high-voltage gain, while using a small duty ratio. To achieve that, the proposed network uses a tightly coupled transformer with three windings, whose obtained gain is presently not matched...... by existing networks operated at the same duty ratio. The proposed impedance network also has more degrees of freedom for varying its gain, and hence, more design freedom for meeting requirements demanded from it. This capability has been demonstrated by mathematical derivation, and proven in experiment...

Are all types of expertise created equal? Car experts use different spatial frequency scales for subordinate categorization of cars and faces.

Science.gov (United States)

Harel, Assaf; Bentin, Shlomo

2013-01-01

A much-debated question in object recognition is whether expertise for faces and expertise for non-face objects utilize common perceptual information. We investigated this issue by assessing the diagnostic information required for different types of expertise. Specifically, we asked whether face categorization and expert car categorization at the subordinate level relies on the same spatial frequency (SF) scales. Fifteen car experts and fifteen novices performed a category verification task with spatially filtered images of faces, cars, and airplanes. Images were categorized based on their basic (e.g. "car") and subordinate level (e.g. "Japanese car") identity. The effect of expertise was not evident when objects were categorized at the basic level. However, when the car experts categorized faces and cars at the subordinate level, the two types of expertise required different kinds of SF information. Subordinate categorization of faces relied on low SFs more than on high SFs, whereas subordinate expert car categorization relied on high SFs more than on low SFs. These findings suggest that expertise in the recognition of objects and faces do not utilize the same type of information. Rather, different types of expertise require different types of diagnostic visual information.

Use of Social Networks as an Educational Tool

OpenAIRE

Tiryakioglu, Filiz; Erzurum, Funda

2011-01-01

Social network, particularly Facebook, can be defined as a unique online service, platform, or area where social communication and/or social relations can be established and individuals intensely share information. This definition implies that communication specialists should have more expertise and interest in social media than any other group of experts. Based on this assumption, the present study investigated the views and attitudes of instructors in the Faculty of Communication Sciences a...

Eye movements as an index of pathologist visual expertise: a pilot study.

Directory of Open Access Journals (Sweden)

Tad T Brunyé

Full Text Available A pilot study examined the extent to which eye movements occurring during interpretation of digitized breast biopsy whole slide images (WSI can distinguish novice interpreters from experts, informing assessments of competency progression during training and across the physician-learning continuum. A pathologist with fellowship training in breast pathology interpreted digital WSI of breast tissue and marked the region of highest diagnostic relevance (dROI. These same images were then evaluated using computer vision techniques to identify visually salient regions of interest (vROI without diagnostic relevance. A non-invasive eye tracking system recorded pathologists' (N = 7 visual behavior during image interpretation, and we measured differential viewing of vROIs versus dROIs according to their level of expertise. Pathologists with relatively low expertise in interpreting breast pathology were more likely to fixate on, and subsequently return to, diagnostically irrelevant vROIs relative to experts. Repeatedly fixating on the distracting vROI showed limited value in predicting diagnostic failure. These preliminary results suggest that eye movements occurring during digital slide interpretation can characterize expertise development by demonstrating differential attraction to diagnostically relevant versus visually distracting image regions. These results carry both theoretical implications and potential for monitoring and evaluating student progress and providing automated feedback and scanning guidance in educational settings.

Regime complexity and expertise in transnational governance: Strategizing in the face of regulatory uncertainty

Directory of Open Access Journals (Sweden)

Sigrid Quack

2013-01-01

Full Text Available The rise and spread of transnational governance arrangements has added to the legal indeterminacy of existing regime complexes. The combined regulatory uncertainty resulting from international regime complexes and transnational polycentric governance heightens the role of expertise in managing this institutional complexity. The rising importance of knowledgeable actors with claims to policy-relevant expertise, according to many scholars, is expected further to advantage well-resourced and powerful actors. However, attention to recent developments in accounting and copyright, as two transnational governance fields that have been dominated by a small group of powerful actors for more than three decades, sheds doubt on the generalizability of such arguments. Although representing least likely cases for change, the empirical evidence presented in this paper shows how apparently weak or marginalized actors – whether they are part of public bureaucracies or civil society – developed expertise-based strategies to claim greater involvement and influence in rule and standard-setting. Their strategizing on regime complexity opened up previously shielded policy spaces to broader audiences, thereby transforming actor constellations, preferences and problem definitions in the two policy fields. These findings suggest that under conditions of complexity, indeterminacy and uncertainty, claims to expertise-based rule are becoming increasingly contested – even in transnational governance fields that have a long-established trajectory of rule-setting and rule-implementation monopolized by small groups of professionals, industrialists or technical diplomats. El surgimiento y la difusión de las disposiciones de gobierno transnacional ha contribuido a la indeterminación jurídica de los complejos regímenes existentes. La incertidumbre regulatoria resultante de los complejos regímenes internacionales y del gobierno policéntrico transnacional realza el

Skillrank: Towards a Hybrid Method to Assess Quality and Confidence of Professional Skills in Social Networks

Directory of Open Access Journals (Sweden)

Jose María Álvarez-Rodríguez

2015-01-01

Full Text Available The present paper introduces a hybrid technique to measure the expertise of users by analyzing their profiles and activities in social networks. Currently, both job seekers and talent hunters are looking for new and innovative techniques to filter jobs and candidates where candidates are trying to improve and make their profiles more attractive. In this sense, the Skillrank approach is based on the conjunction of existing and well-known information and expertise retrieval techniques that perfectly fit the existing web and social media environment to deliver an intelligent component to integrate the user context in the analysis of skills confidence. A major outcome of this approach is that it actually takes advantage of existing data and information available on the web to perform both a ranked list of experts in a field and a confidence value for every professional skill. Thus, expertise and experts can be detected, verified, and ranked using a suited trust metric. An experiment to validate the Skillrank technique based on precision and recall metrics is also presented using two different datasets: (1 ad hoc created using real data from a professional social network and (2 real data extracted from the LinkedIn API.

Expertise differences in air traffic control: An eye-tracking study

NARCIS (Netherlands)

Van Meeuwen, Ludo; Jarodzka, Halszka; Brand-Gruwel, Saskia; Kirschner, Paul A.; De Bock, Jeano; Van Merriënboer, Jeroen

2012-01-01

Van Meeuwen, L. W., Jarodzka, H., Brand-Gruwel, S., Kirschner, P. A., De Bock, J. J. P. R., & Van Merriënboer, J. J. G. (2012, April). Expertise differences in air traffic control: An eye-tracking study. Paper presented at the American Educational Research Association Annual Meeting 2012, Vancouver,

The Unexpected Negotiator at the Table: How the European Commission’s Expertise Informs Intergovernmental EU Policies

Directory of Open Access Journals (Sweden)

Meng-Hsuan Chou

2015-03-01

Full Text Available How, if at all, does the Commission’s expertise inform intergovernmental decision-making within the EU? In this article, we aim to capture the relationship between the Commission’s expertise and its influence within intergovernmental policy-areas through a study of Commission influence in two least likely sectors: security and defence policies (military mission Atalanta and EU Maritime Security Strategy and external migration (EU mobility partnerships with third countries. In these cases we observe that the Commission strongly informs policy developments even though it has only limited formal competences. To explore whether and, if so, how this influence is linked to its expertise, we develop and consider two hypotheses: The expert authority hypothesis and the expert arguments hypothesis. To identify possible additional channels of influence, we also consider the relevance of two alternative hypotheses: The strategic coalition hypothesis and the institutional circumvention hypothesis. We find that the Commission’s use of its expertise is indeed key to understanding its de facto influence within policy-areas where its formal competences remain limited. Our findings add to the existing literature by revealing how expertise matters. Specifically, our cases show that the Commission informs intergovernmental decision-making by successfully linking discussions to policy-areas where it holds expert authority. However, the Commission also informs EU policies by circumventing the formal lines of intergovernmental decision-making, and by cooperating with member states that share its preference for further integration.

Transformation in the pharmaceutical industry--a systematic review of the literature.

Science.gov (United States)

Shafiei, Nader; Ford, James L; Morecroft, Charles W; Lisboa, Paulo J; Taylor, Mark J; Mouzughi, Yusra

2013-01-01

The evolutionary development of pharmaceutical transformation was studied through systematic review of the literature. Fourteen triggers were identified that will affect the pharmaceutical business, regulatory science, and enabling technologies in future years. The relative importance ranking of the transformation triggers was computed based on their prevalence within the articles studied. The four main triggers with the strongest literature evidence were Fully Integrated Pharma Network, Personalized Medicine, Translational Research, and Pervasive Computing. The theoretical quality risks for each of the four main transformation triggers are examined, and the remaining ten triggers are described. The pharmaceutical industry is currently going through changes that affect the way it performs its research, manufacturing, and regulatory activities (this is termed pharmaceutical transformation). The impact of these changes on the approaches to quality risk management requires more understanding. In this paper, a comprehensive review of the academic, regulatory, and industry literature were used to identify 14 triggers that influence pharmaceutical transformation. The four main triggers, namely Fully Integrated Pharma Network, Personalized Medicine, Translational Research, and Pervasive Computing, were selected as the most important based on the strength of the evidence found during the literature review activity described in this paper. Theoretical quality risks for each of the four main transformation triggers are examined, and the remaining ten triggers are described.

Exploring Vietnamese co-authorship patterns in social sciences with basic network measures of 2008-2017 Scopus data [version 1; referees: 2 approved

Directory of Open Access Journals (Sweden)

Tung Manh Ho

2017-08-01

Full Text Available Background: Collaboration is a common occurrence among Vietnamese scientists; however, insights into Vietnamese scientific collaborations have been scarce. On the other hand, the application of social network analysis in studying science collaboration has gained much attention all over the world. The technique could be employed to explore Vietnam’s scientific community. Methods: This paper employs network theory to explore characteristics of a network of 412 Vietnamese social scientists whose papers can be found indexed in the Scopus database. Two basic network measures, density and clustering coefficient, were taken, and the entire network was studied in comparison with two of its largest components. Results: The networks connections are very sparse, with a density of only 0.47%, while the clustering coefficient is very high (58.64%. This suggests an inefficient dissemination of information, knowledge, and expertise in the network. Secondly, the disparity in levels of connection among individuals indicates that the network would easily fall apart if a few highly-connected nodes are removed. Finally, the two largest components of the network were found to differ from the entire networks in terms of measures and were both led by the most productive and well-connected researchers. Conclusions: High clustering and low density seems to be tied to inefficient dissemination of expertise among Vietnamese social scientists, and consequently low scientific output. Also low in robustness, the network shows the potential of an intellectual elite composed of well-connected, productive, and socially significant individuals.

Perception and description of premium beers by panels with different degrees of product expertise

DEFF Research Database (Denmark)

Giacalone, Davide; Ribeiro, Leticia Machado; Frøst, Michael Bom

2016-01-01

The present study compares subjects with varying degrees of product expertise with regards to their ability to provide a sensory profile of beverages. Eight premium beers were evaluated by three different panels using a Napping® test, followed by a descriptive task. Two panels were constituted of...... were all above 0.90, indicating high configurational similarity. In contrast, PLS-DA showed significant differences in the use of attributes, particularly between Experts and Novices, suggesting that product expertise is more associated with descriptive, rather than perceptual, ability....

The Networked Principal: Examining Principals' Social Relationships and Transformational Leadership in School and District Networks

Science.gov (United States)

Moolenaar, Nienke M.; Sleegers, Peter J. C.

2015-01-01

Purpose: While in everyday practice, school leaders are often involved in social relationships with a variety of stakeholders both within and outside their own schools, studies on school leaders' networks often focus either on networks within or outside schools. The purpose of this paper is to investigate the extent to which principals occupy…

Players' expertise and competition with others shape the satisfaction of competence needs, gaming gratifications, and contingent self-esteem in a gaming context.

Science.gov (United States)