WorldWideScience

Sample records for ravens attributing knowledge

  1. RavenDB high performance

    CERN Document Server

    Ritchie, Brian

    2013-01-01

    RavenDB High Performance is comprehensive yet concise tutorial that developers can use to.This book is for developers & software architects who are designing systems in order to achieve high performance right from the start. A basic understanding of RavenDB is recommended, but not required. While the book focuses on advanced topics, it does not assume that the reader has a great deal of prior knowledge of working with RavenDB.

  2. RAVEN Beta Release

    International Nuclear Information System (INIS)

    Rabiti, Cristian; Alfonsi, Andrea; Cogliati, Joshua Joseph; Mandelli, Diego; Kinoshita, Robert Arthur; Wang, Congjian; Maljovec, Daniel Patrick; Talbot, Paul William

    2016-01-01

    This documents the release of the Risk Analysis Virtual Environment (RAVEN) code. A description of the RAVEN code is provided, and discussion of the release process for the M2LW-16IN0704045 milestone. The RAVEN code is a generic software framework to perform parametric and probabilistic analysis based on the response of complex system codes. RAVEN is capable of investigating the system response as well as the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused toward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. RAVEN has now increased in maturity enough for the Beta 1.0 release.

  3. RAVEN Beta Release

    Energy Technology Data Exchange (ETDEWEB)

    Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Cogliati, Joshua Joseph [Idaho National Lab. (INL), Idaho Falls, ID (United States); Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Kinoshita, Robert Arthur [Idaho National Lab. (INL), Idaho Falls, ID (United States); Wang, Congjian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Maljovec, Daniel Patrick [Idaho National Lab. (INL), Idaho Falls, ID (United States); Talbot, Paul William [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2016-02-01

    This documents the release of the Risk Analysis Virtual Environment (RAVEN) code. A description of the RAVEN code is provided, and discussion of the release process for the M2LW-16IN0704045 milestone. The RAVEN code is a generic software framework to perform parametric and probabilistic analysis based on the response of complex system codes. RAVEN is capable of investigating the system response as well as the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused toward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. RAVEN has now increased in maturity enough for the Beta 1.0 release.

  4. RAVEN Theory Manual

    International Nuclear Information System (INIS)

    Alfonsi, Andrea; Rabiti, Cristian; Mandelli, Diego; Cogliati, Joshua Joseph; Wang, Congjian; Maljovec, Daniel Patrick; Talbot, Paul William; Smith, Curtis Lee

    2016-01-01

    RAVEN is a software framework able to perform parametric and stochastic analysis based on the response of complex system codes. The initial development was aimed at providing dynamic risk analysis capabilities to the thermohydraulic code RELAP-7, currently under development at Idaho National Laboratory (INL). Although the initial goal has been fully accomplished, RAVEN is now a multi-purpose stochastic and uncertainty quantification platform, capable of communicating with any system code. In fact, the provided Application Programming Interfaces (APIs) allow RAVEN to interact with any code as long as all the parameters that need to be perturbed are accessible by input files or via python interfaces. RAVEN is capable of investigating system response and explore input space using various sampling schemes such as Monte Carlo, grid, or Latin hypercube. However, RAVEN strength lies in its system feature discovery capabilities such as: constructing limit surfaces, separating regions of the input space leading to system failure, and using dynamic supervised learning techniques. The development of RAVEN started in 2012 when, within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, the need to provide a modern risk evaluation framework arose. RAVEN's principal assignment is to provide the necessary software and algorithms in order to employ the concepts developed by the Risk Informed Safety Margin Characterization (RISMC) program. RISMC is one of the pathways defined within the Light Water Reactor Sustainability (LWRS) program. In the RISMC approach, the goal is not just to identify the frequency of an event potentially leading to a system failure, but the proximity (or lack thereof) to key safety-related events. Hence, the approach is interested in identifying and increasing the safety margins related to those events. A safety margin is a numerical value quantifying the probability that a safety metric (e.g. peak pressure in a pipe) is exceeded under

  5. RAVEN Theory Manual

    Energy Technology Data Exchange (ETDEWEB)

    Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Cogliati, Joshua Joseph [Idaho National Lab. (INL), Idaho Falls, ID (United States); Wang, Congjian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Maljovec, Daniel Patrick [Idaho National Lab. (INL), Idaho Falls, ID (United States); Talbot, Paul William [Idaho National Lab. (INL), Idaho Falls, ID (United States); Smith, Curtis Lee [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2016-06-01

    RAVEN is a software framework able to perform parametric and stochastic analysis based on the response of complex system codes. The initial development was aimed at providing dynamic risk analysis capabilities to the thermohydraulic code RELAP-7, currently under development at Idaho National Laboratory (INL). Although the initial goal has been fully accomplished, RAVEN is now a multi-purpose stochastic and uncertainty quantification platform, capable of communicating with any system code. In fact, the provided Application Programming Interfaces (APIs) allow RAVEN to interact with any code as long as all the parameters that need to be perturbed are accessible by input files or via python interfaces. RAVEN is capable of investigating system response and explore input space using various sampling schemes such as Monte Carlo, grid, or Latin hypercube. However, RAVEN strength lies in its system feature discovery capabilities such as: constructing limit surfaces, separating regions of the input space leading to system failure, and using dynamic supervised learning techniques. The development of RAVEN started in 2012 when, within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, the need to provide a modern risk evaluation framework arose. RAVEN’s principal assignment is to provide the necessary software and algorithms in order to employ the concepts developed by the Risk Informed Safety Margin Characterization (RISMC) program. RISMC is one of the pathways defined within the Light Water Reactor Sustainability (LWRS) program. In the RISMC approach, the goal is not just to identify the frequency of an event potentially leading to a system failure, but the proximity (or lack thereof) to key safety-related events. Hence, the approach is interested in identifying and increasing the safety margins related to those events. A safety margin is a numerical value quantifying the probability that a safety metric (e.g. peak pressure in a pipe) is exceeded under

  6. Observations of territorial breeding common ravens caching eggs of greater sage-grouse

    Science.gov (United States)

    Howe, Kristy B.; Coates, Peter S.

    2015-01-01

    Previous investigations using continuous video monitoring of greater sage-grouse Centrocercus urophasianus nests have unambiguously identified common ravens Corvus corax as an important egg predator within the western United States. The quantity of greater sage-grouse eggs an individual common raven consumes during the nesting period and the extent to which common ravens actively hunt greater sage-grouse nests are largely unknown. However, some evidence suggests that territorial breeding common ravens, rather than nonbreeding transients, are most likely responsible for nest depredations. We describe greater sage-grouse egg depredation observations obtained opportunistically from three common raven nests located in Idaho and Nevada where depredated greater sage-grouse eggs were found at or in the immediate vicinity of the nest site, including the caching of eggs in nearby rock crevices. We opportunistically monitored these nests by counting and removing depredated eggs and shell fragments from the nest sites during each visit to determine the extent to which the common raven pairs preyed on greater sage-grouse eggs. To our knowledge, our observations represent the first evidence that breeding, territorial pairs of common ravens cache greater sage-grouse eggs and are capable of depredating multiple greater sage-grouse nests.

  7. RAVEN User Manual

    International Nuclear Information System (INIS)

    Mandelli, Diego; Rabiti, Cristian; Cogliati, Joshua Joseph; Kinoshita, Robert Arthur; Alfonsi, Andrea; Sen, Ramazan Sonat

    2015-01-01

    RAVEN is a generic software framework to perform parametric and probabilistic analysis based on the response of complex system codes. The initial development was aimed to provide dynamic risk analysis capabilities to the Thermo-Hydraulic code RELAP-7, currently under development at the Idaho National Laboratory (INL). Although the initial goal has been fully accomplished, RAVEN is now a multi-purpose probabilistic and uncertainty quantification platform, capable to agnostically communicate with any system code. This agnosticism includes providing Application Programming Interfaces (APIs). These APIs are used to allow RAVEN to interact with any code as long as all the parameters that need to be perturbed are accessible by inputs files or via python interfaces. RAVEN is capable of investigating the system response, and investigating the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused toward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. The development of RAVEN has started in 2012, when, within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, the need to provide a modern risk evaluation framework became stronger. RAVEN principal assignment is to provide the necessary software and algorithms in order to employ the concept developed by the Risk Informed Safety Margin Characterization (RISMC) program. RISMC is one of the pathways defined within the Light Water Reactor Sustainability (LWRS) program. In the RISMC approach, the goal is not just the individuation of the frequency of an event potentially leading to a system failure, but the closeness (or not) to key safety-related events. Hence, the approach is interested in identifying and increasing the safety margins related to those events. A safety margin is a numerical value quantifying the probability that a safety metric (e.g. for

  8. RAVEN User Manual

    Energy Technology Data Exchange (ETDEWEB)

    Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Cogliati, Joshua Joseph [Idaho National Lab. (INL), Idaho Falls, ID (United States); Kinoshita, Robert Arthur [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Sen, Ramazan Sonat [Idaho National Lab. (INL), Idaho Falls, ID (United States); Wang, Congjian [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2016-02-01

    RAVEN is a generic software framework to perform parametric and probabilistic analysis based on the response of complex system codes. The initial development was aimed to provide dynamic risk analysis capabilities to the Thermo-Hydraulic code RELAP-7, currently under development at the Idaho National Laboratory (INL). Although the initial goal has been fully accomplished, RAVEN is now a multi-purpose probabilistic and uncertainty quantification platform, capable to agnostically communicate with any system code. This agnosticism includes providing Application Programming Interfaces (APIs). These APIs are used to allow RAVEN to interact with any code as long as all the parameters that need to be perturbed are accessible by input files or via python interfaces. RAVEN is capable of investigating the system response, and investigating the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused toward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. The development of RAVEN started in 2012, when, within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, the need to provide a modern risk evaluation framework became stronger. RAVEN principal assignment is to provide the necessary software and algorithms in order to employ the concept developed by the Risk Informed Safety Margin Characterization (RISMC) program. RISMC is one of the pathways defined within the Light Water Reactor Sustainability (LWRS) program. In the RISMC approach, the goal is not just the individuation of the frequency of an event potentially leading to a system failure, but the closeness (or not) to key safety-related events. Hence, the approach is interested in identifying and increasing the safety margins related to those events. A safety margin is a numerical value quantifying the probability that a safety metric (e.g. for an

  9. RAVEN User Manual

    Energy Technology Data Exchange (ETDEWEB)

    Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Cogliati, Joshua Joseph [Idaho National Lab. (INL), Idaho Falls, ID (United States); Kinoshita, Robert Arthur [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Sen, Ramazan Sonat [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-10-01

    RAVEN is a generic software framework to perform parametric and probabilistic analysis based on the response of complex system codes. The initial development was aimed to provide dynamic risk analysis capabilities to the Thermo-Hydraulic code RELAP-7, currently under development at the Idaho National Laboratory (INL). Although the initial goal has been fully accomplished, RAVEN is now a multi-purpose probabilistic and uncertainty quantification platform, capable to agnostically communicate with any system code. This agnosticism includes providing Application Programming Interfaces (APIs). These APIs are used to allow RAVEN to interact with any code as long as all the parameters that need to be perturbed are accessible by inputs files or via python interfaces. RAVEN is capable of investigating the system response, and investigating the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused toward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. The development of RAVEN has started in 2012, when, within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, the need to provide a modern risk evaluation framework became stronger. RAVEN principal assignment is to provide the necessary software and algorithms in order to employ the concept developed by the Risk Informed Safety Margin Characterization (RISMC) program. RISMC is one of the pathways defined within the Light Water Reactor Sustainability (LWRS) program. In the RISMC approach, the goal is not just the individuation of the frequency of an event potentially leading to a system failure, but the closeness (or not) to key safety-related events. Hence, the approach is interested in identifying and increasing the safety margins related to those events. A safety margin is a numerical value quantifying the probability that a safety metric (e.g. for

  10. RAVEN User Manual

    Energy Technology Data Exchange (ETDEWEB)

    Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Cogliati, Joshua Joseph [Idaho National Lab. (INL), Idaho Falls, ID (United States); Kinoshita, Robert Arthur [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Sen, Ramazan Sonat [Idaho National Lab. (INL), Idaho Falls, ID (United States); Wang, Congjian [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2017-03-01

    RAVEN is a generic software framework to perform parametric and probabilistic analy- sis based on the response of complex system codes. The initial development was aimed to provide dynamic risk analysis capabilities to the Thermo-Hydraulic code RELAP-7, currently under development at the Idaho National Laboratory (INL). Although the initial goal has been fully accomplished, RAVEN is now a multi-purpose probabilistic and uncer- tainty quantification platform, capable to agnostically communicate with any system code. This agnosticism includes providing Application Programming Interfaces (APIs). These APIs are used to allow RAVEN to interact with any code as long as all the parameters that need to be perturbed are accessible by inputs files or via python interfaces. RAVEN is capable of investigating the system response, and investigating the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused to- ward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. The development of RAVEN has started in 2012, when, within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, the need to provide a modern risk evaluation framework became stronger. RAVEN principal assignment is to provide the necessary software and algorithms in order to employ the concept developed by the Risk Informed Safety Margin Characterization (RISMC) program. RISMC is one of the pathways defined within the Light Water Reactor Sustainability (LWRS) program. In the RISMC approach, the goal is not just the individuation of the frequency of an event potentially leading to a system failure, but the closeness (or not) to key safety-related events. Hence, the approach is in- terested in identifying and increasing the safety margins related to those events. A safety margin is a numerical value quantifying the probability that a safety metric (e

  11. Recreating Raven's: software for systematically generating large numbers of Raven-like matrix problems with normed properties.

    Science.gov (United States)

    Matzen, Laura E; Benz, Zachary O; Dixon, Kevin R; Posey, Jamie; Kroger, James K; Speed, Ann E

    2010-05-01

    Raven's Progressive Matrices is a widely used test for assessing intelligence and reasoning ability (Raven, Court, & Raven, 1998). Since the test is nonverbal, it can be applied to many different populations and has been used all over the world (Court & Raven, 1995). However, relatively few matrices are in the sets developed by Raven, which limits their use in experiments requiring large numbers of stimuli. For the present study, we analyzed the types of relations that appear in Raven's original Standard Progressive Matrices (SPMs) and created a software tool that can combine the same types of relations according to parameters chosen by the experimenter, to produce very large numbers of matrix problems with specific properties. We then conducted a norming study in which the matrices we generated were compared with the actual SPMs. This study showed that the generated matrices both covered and expanded on the range of problem difficulties provided by the SPMs.

  12. Developing and Implementing the Data Mining Algorithms in RAVEN

    International Nuclear Information System (INIS)

    Sen, Ramazan Sonat; Maljovec, Daniel Patrick; Alfonsi, Andrea; Rabiti, Cristian

    2015-01-01

    The RAVEN code is becoming a comprehensive tool to perform probabilistic risk assessment, uncertainty quantification, and verification and validation. The RAVEN code is being developed to support many programs and to provide a set of methodologies and algorithms for advanced analysis. Scientific computer codes can generate enormous amounts of data. To post-process and analyze such data might, in some cases, take longer than the initial software runtime. Data mining algorithms/methods help in recognizing and understanding patterns in the data, and thus discover knowledge in databases. The methodologies used in the dynamic probabilistic risk assessment or in uncertainty and error quantification analysis couple system/physics codes with simulation controller codes, such as RAVEN. RAVEN introduces both deterministic and stochastic elements into the simulation while the system/physics code model the dynamics deterministically. A typical analysis is performed by sampling values of a set of parameter values. A major challenge in using dynamic probabilistic risk assessment or uncertainty and error quantification analysis for a complex system is to analyze the large number of scenarios generated. Data mining techniques are typically used to better organize and understand data, i.e. recognizing patterns in the data. This report focuses on development and implementation of Application Programming Interfaces (APIs) for different data mining algorithms, and the application of these algorithms to different databases.

  13. Developing and Implementing the Data Mining Algorithms in RAVEN

    Energy Technology Data Exchange (ETDEWEB)

    Sen, Ramazan Sonat [Idaho National Lab. (INL), Idaho Falls, ID (United States); Maljovec, Daniel Patrick [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-09-01

    The RAVEN code is becoming a comprehensive tool to perform probabilistic risk assessment, uncertainty quantification, and verification and validation. The RAVEN code is being developed to support many programs and to provide a set of methodologies and algorithms for advanced analysis. Scientific computer codes can generate enormous amounts of data. To post-process and analyze such data might, in some cases, take longer than the initial software runtime. Data mining algorithms/methods help in recognizing and understanding patterns in the data, and thus discover knowledge in databases. The methodologies used in the dynamic probabilistic risk assessment or in uncertainty and error quantification analysis couple system/physics codes with simulation controller codes, such as RAVEN. RAVEN introduces both deterministic and stochastic elements into the simulation while the system/physics code model the dynamics deterministically. A typical analysis is performed by sampling values of a set of parameter values. A major challenge in using dynamic probabilistic risk assessment or uncertainty and error quantification analysis for a complex system is to analyze the large number of scenarios generated. Data mining techniques are typically used to better organize and understand data, i.e. recognizing patterns in the data. This report focuses on development and implementation of Application Programming Interfaces (APIs) for different data mining algorithms, and the application of these algorithms to different databases.

  14. RAVEN Quality Assurance Activities

    Energy Technology Data Exchange (ETDEWEB)

    Cogliati, Joshua Joseph [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-09-01

    This report discusses the quality assurance activities needed to raise the Quality Level of Risk Analysis in a Virtual Environment (RAVEN) from Quality Level 3 to Quality Level 2. This report also describes the general RAVEN quality assurance activities. For improving the quality, reviews of code changes have been instituted, more parts of testing have been automated, and improved packaging has been created. For upgrading the quality level, requirements have been created and the workflow has been improved.

  15. RAVEN User Manual Revision 5

    International Nuclear Information System (INIS)

    Mandelli, Diego; Rabiti, Cristian; Cogliati, Joshua Joseph; Kinoshita, Robert Arthur; Alfonsi, Andrea; Sen, Ramazan Sonat; Wang, Congjian

    2017-01-01

    RAVEN is a generic software framework to perform parametric and probabilistic analy- sis based on the response of complex system codes. The initial development was aimed to provide dynamic risk analysis capabilities to the Thermo-Hydraulic code RELAP-7, currently under development at the Idaho National Laboratory (INL). Although the initial goal has been fully accomplished, RAVEN is now a multi-purpose probabilistic and uncer- tainty quantification platform, capable to agnostically communicate with any system code. This agnosticism includes providing Application Programming Interfaces (APIs). These APIs are used to allow RAVEN to interact with any code as long as all the parameters that need to be perturbed are accessible by inputs files or via python interfaces. RAVEN is capable of investigating the system response, and investigating the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused to- ward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. The development of RAVEN has started in 2012, when, within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, the need to provide a modern risk evaluation framework became stronger. RAVEN principal assignment is to provide the necessary software and algorithms in order to employ the concept developed by the Risk Informed Safety Margin Characterization (RISMC) program. RISMC is one of the pathways defined within the Light Water Reactor Sustainability (LWRS) program. In the RISMC approach, the goal is not just the individuation of the frequency of an event potentially leading to a system failure, but the closeness (or not) to key safety-related events. Hence, the approach is in- terested in identifying and increasing the safety margins related to those events. A safety margin is a numerical value quantifying the probability that a safety metric (e

  16. Dynamic Event Tree Analysis Through RAVEN

    Energy Technology Data Exchange (ETDEWEB)

    A. Alfonsi; C. Rabiti; D. Mandelli; J. Cogliati; R. A. Kinoshita; A. Naviglio

    2013-09-01

    Conventional Event-Tree (ET) based methodologies are extensively used as tools to perform reliability and safety assessment of complex and critical engineering systems. One of the disadvantages of these methods is that timing/sequencing of events and system dynamics is not explicitly accounted for in the analysis. In order to overcome these limitations several techniques, also know as Dynamic Probabilistic Risk Assessment (D-PRA), have been developed. Monte-Carlo (MC) and Dynamic Event Tree (DET) are two of the most widely used D-PRA methodologies to perform safety assessment of Nuclear Power Plants (NPP). In the past two years, the Idaho National Laboratory (INL) has developed its own tool to perform Dynamic PRA: RAVEN (Reactor Analysis and Virtual control ENvironment). RAVEN has been designed in a high modular and pluggable way in order to enable easy integration of different programming languages (i.e., C++, Python) and coupling with other application including the ones based on the MOOSE framework, developed by INL as well. RAVEN performs two main tasks: 1) control logic driver for the new Thermo-Hydraulic code RELAP-7 and 2) post-processing tool. In the first task, RAVEN acts as a deterministic controller in which the set of control logic laws (user defined) monitors the RELAP-7 simulation and controls the activation of specific systems. Moreover, RAVEN also models stochastic events, such as components failures, and performs uncertainty quantification. Such stochastic modeling is employed by using both MC and DET algorithms. In the second task, RAVEN processes the large amount of data generated by RELAP-7 using data-mining based algorithms. This paper focuses on the first task and shows how it is possible to perform the analysis of dynamic stochastic systems using the newly developed RAVEN DET capability. As an example, the Dynamic PRA analysis, using Dynamic Event Tree, of a simplified pressurized water reactor for a Station Black-Out scenario is presented.

  17. Software infrastructure progress in the RAVEN code

    Energy Technology Data Exchange (ETDEWEB)

    Cogliati, Joshua J. [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Permann, Cody J. [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-03-01

    The milestones have been achieved. RAVEN has been migrated to Gitlab which adds new abilities for code review and management. Standalone RAVEN framework packages have been created for OSX and two Linux distributions.

  18. Reciprocity of agonistic support in ravens.

    Science.gov (United States)

    Fraser, Orlaith N; Bugnyar, Thomas

    2012-01-01

    Cooperative behaviour through reciprocation or interchange of valuable services in primates has received considerable attention, especially regarding the timeframe of reciprocation and its ensuing cognitive implications. Much less, however, is known about reciprocity in other animals, particularly birds. We investigated patterns of agonistic support (defined as a third party intervening in an ongoing conflict to attack one of the conflict participants, thus supporting the other) in a group of 13 captive ravens, Corvus corax. We found support for long-term, but not short-term, reciprocation of agonistic support. Ravens were more likely to support individuals who preened them, kin and dominant group members. These results suggest that ravens do not reciprocate on a calculated tit-for-tat basis, but aid individuals from whom reciprocated support would be most useful and those with whom they share a good relationship. Additionally, dyadic levels of agonistic support and consolation (postconflict affiliation from a bystander to the victim) correlated strongly with each other, but we found no evidence to suggest that receiving agonistic support influences the victim's likelihood of receiving support (consolation) after the conflict ends. Our findings are consistent with an emotionally mediated form of reciprocity in ravens and provide additional support for convergent cognitive evolution in birds and mammals.

  19. Partner Choice in Raven (Corvus corax) Cooperation.

    Science.gov (United States)

    Asakawa-Haas, Kenji; Schiestl, Martina; Bugnyar, Thomas; Massen, Jorg J M

    2016-01-01

    Although social animals frequently make decisions about when or with whom to cooperate, little is known about the underlying mechanisms of partner choice. Most previous studies compared different dyads' performances, though did not allow an actual choice among partners. We tested eleven ravens, Corvus corax, in triads, giving them first the choice to cooperate with either a highly familiar or a rather unfamiliar partner and, second, with either a friend or a non-friend using a cooperative string-pulling task. In either test, the ravens had a second choice and could cooperate with the other partner, given that this one had not pulled the string in the meantime. We show that during the experiments, these partner ravens indeed learn to wait and inhibit pulling, respectively. Moreover, the results of these two experiments show that ravens' preferences for a specific cooperation partner are not based on familiarity. In contrast, the ravens did show a preference based on relationship quality, as they did choose to cooperate significantly more with friends than with non-friends and they were also more proficient when cooperating with a friend. In order to further identify the proximate mechanism of this preference, we designed an open-choice experiment for the whole group where all birds were free to cooperate on two separate apparatuses. This set-up allowed us to distinguish between preferences for close proximity and preferences to cooperate. The results revealed that friends preferred staying close to each other, but did not necessarily cooperate with one another, suggesting that tolerance of proximity and not relationship quality as a whole may be the driving force behind partner choice in raven cooperation. Consequently, we stress the importance of experiments that allow such titrations and, suggest that these results have important implications for the interpretations of cooperation studies that did not include open partner choice.

  20. FrankenRaven: A New Platform for Remote Sensing

    Science.gov (United States)

    Dahlgren, R. P.; Fladeland, M. M.; Pinsker, E. A.; Jasionowicz, J. P.; Jones, L. L.; Mosser, C. D.; Pscheid, M. J.; Weidow, N. L.; Kelly, P. J.; Kern, C.; Werner, C. A.; Johnson, M. S.

    2016-12-01

    Small, modular aircraft are an emerging technology with a goal to maximize flexibility and enable multi-mission support. This reports the progress of an unmanned aerial system (UAS) project conducted at the NASA Ames Research Center (ARC) in 2016. This interdisciplinary effort builds upon the success of the 2014 FrankenEye project to apply rapid prototyping techniques to UAS, to develop a variety of platforms to host remote sensing instruments. In 2016, ARC received AeroVironment RQ-11A and RQ-11B Raven UAS from the US Department of the Interior, Office of Aviation Services. These aircraft have electric propulsion, a wingspan of roughly 1.3m, and have demonstrated reliability in challenging environments. The Raven airframe is an ideal foundation to construct more complex aircraft, and student interns using 3D printing were able to graft multiple Raven wings and fuselages into "FrankenRaven" aircraft. Aeronautical analysis shows that the new configuration has enhanced flight time, payload capacity, and distance compared to the original Raven. The FrankenRaven avionics architecture replaces the mil-spec avionics with COTS technology based upon the 3DR Pixhawk PX4 autopilot with a safety multiplexer for failsafe handoff to 2.4 GHz RC control and 915 MHz telemetry. This project demonstrates how design reuse, rapid prototyping, and modular subcomponents can be leveraged into flexible airborne platforms that can host a variety of remote sensing payloads and even multiple payloads. Modularity advances a new paradigm: mass-customization of aircraft around given payload(s). Multi-fuselage designs are currently under development to host a wide variety of payloads including a zenith-pointing spectrometer, a magnetometer, a multi-spectral camera, and a RGB camera. After airworthiness certification, flight readiness review, and test flights are performed at Crows Landing airfield in central California, field data will be taken at Kilauea volcano in Hawaii and other locations.

  1. Enhancements to the RAVEN code in FY16

    International Nuclear Information System (INIS)

    Alfonsi, Andrea; Rabiti, Cristian; Maljovec, Daniel Patrick; Mandelli, Diego; Smith, Curtis Lee

    2016-01-01

    The RAVEN code has been under development at the Idaho National Laboratory since 2012. Its main goal is to create a multi-purpose platform for the deploying of all the capabilities needed for Probabilistic Risk Assessment, uncertainty quantification, data mining analysis and optimization studies. RAVEN has currently reached a good level of maturity in terms of deployed state-of-art and advanced capabilities. The main subject of this report is to show the activities that have been recently accomplished: • Implementation of ensemble modeling for time-series, and • initial implementation of model validation for surrogate models, and • advanced visualization capability for topology based data analysis The development of ensemble modeling for time-series has been performed in order to begin tackling the needs of those RISMC applications that need to communicate 1-Dimensional information (e.g. power histories, etc.) among different models. In this document the implementation details and an application example is reported. The second subject of this report is about the initial development of methods, within the RAVEN framework, to assess the validity of the predictive capabilities of surrogate models. Indeed, after the construction of a surrogate tight to a certain physical model, it is crucial to assess the goodness of its representation, in order to be confident with its prediction. In this initial activity, a cross-validation technique has been employed. This report will highlight the implementation details and proof its correct implementation by an application example. The final subject of this report is about the implementation of advanced visualization capability in RAVEN, for interactive data analysis. Indeed, RAVEN offers several post-processing capabilities that can structurally decompose data extracted from experimental results offering both data clustering/partitioning and dimensionality reduction techniques. A disadvantage of the workflow available in

  2. Enhancements to the RAVEN code in FY16

    Energy Technology Data Exchange (ETDEWEB)

    Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Maljovec, Daniel Patrick [Idaho National Lab. (INL), Idaho Falls, ID (United States); Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Smith, Curtis Lee [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2016-09-01

    The RAVEN code has been under development at the Idaho National Laboratory since 2012. Its main goal is to create a multi-purpose platform for the deploying of all the capabilities needed for Probabilistic Risk Assessment, uncertainty quantification, data mining analysis and optimization studies. RAVEN has currently reached a good level of maturity in terms of deployed state-of-art and advanced capabilities. The main subject of this report is to show the activities that have been recently accomplished: • Implementation of ensemble modeling for time-series, and • initial implementation of model validation for surrogate models, and • advanced visualization capability for topology based data analysis The development of ensemble modeling for time-series has been performed in order to begin tackling the needs of those RISMC applications that need to communicate 1-Dimensional information (e.g. power histories, etc.) among different models. In this document the implementation details and an application example is reported. The second subject of this report is about the initial development of methods, within the RAVEN framework, to assess the validity of the predictive capabilities of surrogate models. Indeed, after the construction of a surrogate tight to a certain physical model, it is crucial to assess the goodness of its representation, in order to be confident with its prediction. In this initial activity, a cross-validation technique has been employed. This report will highlight the implementation details and proof its correct implementation by an application example. The final subject of this report is about the implementation of advanced visualization capability in RAVEN, for interactive data analysis. Indeed, RAVEN offers several post-processing capabilities that can structurally decompose data extracted from experimental results offering both data clustering/partitioning and dimensionality reduction techniques. A disadvantage of the workflow available in

  3. Common raven occurrence in relation to energy transmission line corridors transiting human-altered sagebrush steppe

    Science.gov (United States)

    Coates, Peter S.; Howe, Kristy B.; Casazza, Michael L.; Delehanty, David J.

    2014-01-01

    Energy-related infrastructure and other human enterprises within sagebrush steppe of the American West often results in changes that promote common raven (Corvus corax; hereafter, raven) populations. Ravens, a generalist predator capable of behavioral innovation, present a threat to many species of conservation concern. We evaluate the effects of detailed features of an altered landscape on the probability of raven occurrence using extensive raven survey (n= 1045) and mapping data from southern Idaho, USA. We found nonlinear relationships between raven occurrence and distances to transmission lines, roads, and facilities. Most importantly, raven occurrence was greater with presence of transmission lines up to 2.2 km from the corridor.We further explain variation in raven occurrence along anthropogenic features based on the amount of non-native vegetation and cover type edge, such that ravens select fragmented sagebrush stands with patchy, exotic vegetative introgression. Raven occurrence also increased with greater length of edge formed by the contact of big sagebrush (Artemisia tridentate spp.) with non-native vegetation cover types. In consideration of increasing alteration of sagebrush steppe, these findings will be useful for planning energy transmission corridor placement and other management activities where conservation of sagebrush obligate species is a priority.

  4. Performing Probabilistic Risk Assessment Through RAVEN

    Energy Technology Data Exchange (ETDEWEB)

    A. Alfonsi; C. Rabiti; D. Mandelli; J. Cogliati; R. Kinoshita

    2013-06-01

    The Reactor Analysis and Virtual control ENviroment (RAVEN) code is a software tool that acts as the control logic driver and post-processing engine for the newly developed Thermal-Hydraulic code RELAP-7. RAVEN is now a multi-purpose Probabilistic Risk Assessment (PRA) software framework that allows dispatching different functionalities: Derive and actuate the control logic required to simulate the plant control system and operator actions (guided procedures), allowing on-line monitoring/controlling in the Phase Space Perform both Monte-Carlo sampling of random distributed events and Dynamic Event Tree based analysis Facilitate the input/output handling through a Graphical User Interface (GUI) and a post-processing data mining module

  5. Craving Ravens: Individual ‘haa’ Call Rates at Feeding Sites as Cues to Personality and Levels of Fission-Fusion Dynamics?

    Directory of Open Access Journals (Sweden)

    Georgine Szipl

    2014-08-01

    Full Text Available Common ravens aggregate in large non-breeder flocks for roosting and foraging until they achieve the status of territorial breeders. When discovering food, they produce far-reaching yells or ‘haa’ calls, which attract conspecifics. Due to the high levels of fission-fusion dynamics in non-breeders’ flocks, assemblies of feeding ravens were long thought to represent anonymous aggregations. Yet, non-breeders vary in their degree of vagrancy, and ‘haa’ calls convey individually distinct acoustic features, which are perceived by conspecifics. These findings give rise to the assumption that raven societies are based on differential social relationships on an individual level. We investigated the occurrence of ‘haa’ calling and individual call rates in a group of individually marked free-ranging ravens. Calling mainly occurred in subadult and adult females, which showed low levels of vagrancy. Call rates differed significantly between individuals and with residency status, and were correlated with calling frequency and landing frequency. Local ravens called more often and at higher rates, and were less likely to land at the feeding site than vagrant birds. The results are discussed with respect to individual degrees of vagrancy, which may have an impact on social knowledge and communication in this species.

  6. Raven-II: an open platform for surgical robotics research.

    Science.gov (United States)

    Hannaford, Blake; Rosen, Jacob; Friedman, Diana W; King, Hawkeye; Roan, Phillip; Cheng, Lei; Glozman, Daniel; Ma, Ji; Kosari, Sina Nia; White, Lee

    2013-04-01

    The Raven-II is a platform for collaborative research on advances in surgical robotics. Seven universities have begun research using this platform. The Raven-II system has two 3-DOF spherical positioning mechanisms capable of attaching interchangeable four DOF instruments. The Raven-II software is based on open standards such as Linux and ROS to maximally facilitate software development. The mechanism is robust enough for repeated experiments and animal surgery experiments, but is not engineered to sufficient safety standards for human use. Mechanisms in place for interaction among the user community and dissemination of results include an electronic forum, an online software SVN repository, and meetings and workshops at major robotics conferences.

  7. RAVEN. Dynamic Event Tree Approach Level III Milestone

    Energy Technology Data Exchange (ETDEWEB)

    Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Cogliati, Joshua [Idaho National Lab. (INL), Idaho Falls, ID (United States); Kinoshita, Robert [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2014-07-01

    Conventional Event-Tree (ET) based methodologies are extensively used as tools to perform reliability and safety assessment of complex and critical engineering systems. One of the disadvantages of these methods is that timing/sequencing of events and system dynamics are not explicitly accounted for in the analysis. In order to overcome these limitations several techniques, also know as Dynamic Probabilistic Risk Assessment (DPRA), have been developed. Monte-Carlo (MC) and Dynamic Event Tree (DET) are two of the most widely used D-PRA methodologies to perform safety assessment of Nuclear Power Plants (NPP). In the past two years, the Idaho National Laboratory (INL) has developed its own tool to perform Dynamic PRA: RAVEN (Reactor Analysis and Virtual control ENvironment). RAVEN has been designed to perform two main tasks: 1) control logic driver for the new Thermo-Hydraulic code RELAP-7 and 2) post-processing tool. In the first task, RAVEN acts as a deterministic controller in which the set of control logic laws (user defined) monitors the RELAP-7 simulation and controls the activation of specific systems. Moreover, the control logic infrastructure is used to model stochastic events, such as components failures, and perform uncertainty propagation. Such stochastic modeling is deployed using both MC and DET algorithms. In the second task, RAVEN processes the large amount of data generated by RELAP-7 using data-mining based algorithms. This report focuses on the analysis of dynamic stochastic systems using the newly developed RAVEN DET capability. As an example, a DPRA analysis, using DET, of a simplified pressurized water reactor for a Station Black-Out (SBO) scenario is presented.

  8. RAVEN: Dynamic Event Tree Approach Level III Milestone

    Energy Technology Data Exchange (ETDEWEB)

    Andrea Alfonsi; Cristian Rabiti; Diego Mandelli; Joshua Cogliati; Robert Kinoshita

    2013-07-01

    Conventional Event-Tree (ET) based methodologies are extensively used as tools to perform reliability and safety assessment of complex and critical engineering systems. One of the disadvantages of these methods is that timing/sequencing of events and system dynamics are not explicitly accounted for in the analysis. In order to overcome these limitations several techniques, also know as Dynamic Probabilistic Risk Assessment (DPRA), have been developed. Monte-Carlo (MC) and Dynamic Event Tree (DET) are two of the most widely used D-PRA methodologies to perform safety assessment of Nuclear Power Plants (NPP). In the past two years, the Idaho National Laboratory (INL) has developed its own tool to perform Dynamic PRA: RAVEN (Reactor Analysis and Virtual control ENvironment). RAVEN has been designed to perform two main tasks: 1) control logic driver for the new Thermo-Hydraulic code RELAP-7 and 2) post-processing tool. In the first task, RAVEN acts as a deterministic controller in which the set of control logic laws (user defined) monitors the RELAP-7 simulation and controls the activation of specific systems. Moreover, the control logic infrastructure is used to model stochastic events, such as components failures, and perform uncertainty propagation. Such stochastic modeling is deployed using both MC and DET algorithms. In the second task, RAVEN processes the large amount of data generated by RELAP-7 using data-mining based algorithms. This report focuses on the analysis of dynamic stochastic systems using the newly developed RAVEN DET capability. As an example, a DPRA analysis, using DET, of a simplified pressurized water reactor for a Station Black-Out (SBO) scenario is presented.

  9. Landscape characteristics and livestock presence influence common ravens: Relevance to greater sage-grouse conservation

    Science.gov (United States)

    Coates, Peter S.; Brussee, Brianne E.; Howe, Kristy; Gustafson, K. Ben; Casazza, Michael L.; Delehanty, David J.

    2016-01-01

    Common raven (Corvus corax; hereafter, raven) population abundance in the sagebrush steppe of the American West has increased threefold during the previous four decades, largely as a result of unintended resource subsidies from human land-use practices. This is concerning because ravens frequently depredate nests of species of conservation concern, such as greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse). Grazing by livestock in sagebrush ecosystems is common practice on most public lands, but associations between livestock and ravens are poorly understood. The primary objective of this study was to identify the effects of livestock on raven occurrence while accounting for landscape characteristics within human-altered sagebrush steppe habitat, particularly in areas occupied by breeding sage-grouse. Using data from southeastern Idaho collected during spring and summer across 3 yr, we modeled raven occurrence as a function of the presence of livestock while accounting for multiple landscape covariates, including land cover features, topographical features, and proximity to sage-grouse lek sites (breeding grounds), as well as site-level anthropogenic features. While accounting for landscape characteristics, we found that the odds of raven occurrence increased 45.8% in areas where livestock were present. In addition, ravens selected areas near sage-grouse leks, with the odds of occurrence decreasing 8.9% for every 1-km distance, increase away from the lek. We did not find an association between livestock use and distance to lek. We also found that ravens selected sites with relatively lower elevation containing increased amounts of cropland, wet meadow, and urbanization. Limiting raven access to key anthropogenic subsidies and spatially segregating livestock from sage-grouse breeding areas would likely reduce exposure of predatory ravens to sage-grouse nests and chicks.

  10. Social networks predict selective observation and information spread in ravens

    Science.gov (United States)

    Rubenstein, Daniel I.; Bugnyar, Thomas; Hoppitt, William; Mikus, Nace; Schwab, Christine

    2016-01-01

    Animals are predicted to selectively observe and learn from the conspecifics with whom they share social connections. Yet, hardly anything is known about the role of different connections in observation and learning. To address the relationships between social connections, observation and learning, we investigated transmission of information in two raven (Corvus corax) groups. First, we quantified social connections in each group by constructing networks on affiliative interactions, aggressive interactions and proximity. We then seeded novel information by training one group member on a novel task and allowing others to observe. In each group, an observation network based on who observed whose task-solving behaviour was strongly correlated with networks based on affiliative interactions and proximity. Ravens with high social centrality (strength, eigenvector, information centrality) in the affiliative interaction network were also central in the observation network, possibly as a result of solving the task sooner. Network-based diffusion analysis revealed that the order that ravens first solved the task was best predicted by connections in the affiliative interaction network in a group of subadult ravens, and by social rank and kinship (which influenced affiliative interactions) in a group of juvenile ravens. Our results demonstrate that not all social connections are equally effective at predicting the patterns of selective observation and information transmission. PMID:27493780

  11. System Reliability Analysis Capability and Surrogate Model Application in RAVEN

    Energy Technology Data Exchange (ETDEWEB)

    Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Huang, Dongli [Idaho National Lab. (INL), Idaho Falls, ID (United States); Gleicher, Frederick [Idaho National Lab. (INL), Idaho Falls, ID (United States); Wang, Bei [Idaho National Lab. (INL), Idaho Falls, ID (United States); Adbel-Khalik, Hany S. [Idaho National Lab. (INL), Idaho Falls, ID (United States); Pascucci, Valerio [Idaho National Lab. (INL), Idaho Falls, ID (United States); Smith, Curtis L. [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-11-01

    This report collect the effort performed to improve the reliability analysis capabilities of the RAVEN code and explore new opportunity in the usage of surrogate model by extending the current RAVEN capabilities to multi physics surrogate models and construction of surrogate models for high dimensionality fields.

  12. Behavioural and Hormonal Stress Responses to Social Separation in Ravens, Corvus corax.

    Science.gov (United States)

    Munteanu, Alexandru M; Stocker, Martina; Stöwe, Mareike; Massen, Jorg J M; Bugnyar, Thomas

    2017-02-01

    Social life is profitable, but it facilitates conflicts over resources and creates interdependence between individuals. Separating highly social animals triggers intense reactions aimed at re-establishing lost connections. Less is known, however, about behavioural and physiological responses to separation in socially facultative species, where individuals temporarily form groups and may subsequently leave them. Non-breeding common ravens ( Corvus corax ) gather in large numbers at feeding and roosting sites, but otherwise spend time seemingly solitary or in small subgroups. We here studied how ravens cope with being socially isolated, and investigated the life characteristics that might explain potential individual differences. For this, we individually separated captive subadult ravens (n = 25) and housed them in physical and visual isolation from their group members across 4 d. During the separation period, we collected behavioural data and measured the amount of immunoreactive corticosterone metabolites from bird droppings to assess the ravens' physiological stress response. We found behavioural indicators of stress at the start of the separation, when ravens showed higher levels of tension than of comfort - a pattern that reversed at the end of the separation. Furthermore, we found that the upbringing of ravens affected their behaviour during separation. Hand-raised birds produced more vocalisations in the beginning of the separation, and were less active at the end, while the reverse pattern occurred with parent-raised ravens. Contrary to our predictions, we did not find differences in hormonal responses between the beginning and end of the separation period or any link between hormonal responses and behaviours. Ravens' behavioural responses to social separation stress seem to be dependent on their arousal states, although possible links with hormonal reactions remain unclear. Our results show that behavioural reactions are not always linked with hormonal

  13. "The raven", by Machado de Assis "The raven", by Machado de Assis

    Directory of Open Access Journals (Sweden)

    Sérgio Luiz Prado Bellei

    2008-04-01

    Full Text Available The Brazilian critic José Guilherme Merquior once claimed that Machado de Assis's translation of "The Raven" should not be considered inferior to the well known translation of the Portuguese poet Fernando Pessoa. 1 Unfortunately Merquior does not seem to find necessary to give reasons for this evaluation. And yet even the most cursory reading of the two translations will show that some sort of explanation is necessary because Machado and Pessoa are obviously doing something radically different with Poe's poem. Consider, for example, the two renderings of the first stanza in relation to Poe's original: The Brazilian critic José Guilherme Merquior once claimed that Machado de Assis's translation of "The Raven" should not be considered inferior to the well known translation of the Portuguese poet Fernando Pessoa. 1 Unfortunately Merquior does not seem to find necessary to give reasons for this evaluation. And yet even the most cursory reading of the two translations will show that some sort of explanation is necessary because Machado and Pessoa are obviously doing something radically different with Poe's poem. Consider, for example, the two renderings of the first stanza in relation to Poe's original:

  14. Working Memory Capacity and Fluid Abilities: Examining the Correlation between Operation Span and Raven

    Science.gov (United States)

    Unsworth, N.; Engle, R.W.

    2005-01-01

    The correlation between a measure of working memory capacity (WMC) (Operation Span) and a measure of fluid abilities (Raven Advanced Progressive Matrices) was examined. Specifically, performance on Raven problems was decomposed by difficulty, memory load, and rule type. The results suggest that the relation between Operation Span and Raven is…

  15. Raven surgical robot training in preparation for da vinci.

    Science.gov (United States)

    Glassman, Deanna; White, Lee; Lewis, Andrew; King, Hawkeye; Clarke, Alicia; Glassman, Thomas; Comstock, Bryan; Hannaford, Blake; Lendvay, Thomas S

    2014-01-01

    The rapid adoption of robotic assisted surgery challenges the pace at which adequate robotic training can occur due to access limitations to the da Vinci robot. Thirty medical students completed a randomized controlled trial evaluating whether the Raven robot could be used as an alternative training tool for the Fundamentals of Laparoscopic Surgery (FLS) block transfer task on the da Vinci robot. Two groups, one trained on the da Vinci and one trained on the Raven, were tested on a criterion FLS block transfer task on the da Vinci. After robotic FLS block transfer proficiency training there was no statistically significant difference between path length (p=0.39) and economy of motion scores (p=0.06) between the two groups, but those trained on the da Vinci did have faster task times (p=0.01). These results provide evidence for the value of using the Raven robot for training prior to using the da Vinci surgical system for similar tasks.

  16. Brains, tools, innovation and biogeography in crows and ravens

    DEFF Research Database (Denmark)

    Jønsson, Knud Andreas; Fabre, Pierre-Henri Fréderic; Irestedt, Martin

    2012-01-01

    BACKGROUND:Crows and ravens (Passeriformes: Corvus) are large-brained birds with enhanced cognitive abilities relative to other birds. They are among the few non-hominid organisms on Earth to be considered intelligent and well-known examples exist of several crow species having evolved innovative....... Hence, we propose that all crows and ravens have relatively large brains compared to other birds and thus the potential to be innovative if conditions and circumstances are right.......BACKGROUND:Crows and ravens (Passeriformes: Corvus) are large-brained birds with enhanced cognitive abilities relative to other birds. They are among the few non-hominid organisms on Earth to be considered intelligent and well-known examples exist of several crow species having evolved innovative...... Corvus. We date the phylogeny and determine ancestral areas to investigate historical biogeographical patterns of the crows. Additionally, we use data on brain size and a large database on innovative behaviour and tool use to test whether brain size (i) explains innovative behaviour and success...

  17. The Effects of Site Characterization Activities on the Abundance of Ravens (Corvus corax) in the Yucca Mountain Area

    Energy Technology Data Exchange (ETDEWEB)

    P.E. Lederle

    1998-05-08

    In response to the Nuclear Waste Policy Act of 1982 and the Nuclear Waste Policy Amendments Act of 1987, the U.S. Department of Energy (DOE) developed and is implementing the Yucca Mountain Site Characterization Project. Raven abundance was measured from August 1991 through August 1995 along treatment and control routes to evaluate whether site characterization activities resulted in increased raven abundance at Yucca Mountain. This study fulfills the requirement set forth in the incidental take provisions of the Biological Opinion that DOE monitor the abundance of ravens at Yucca Mountain. Ravens were more abundant at Yucca Mountain than in the control area, and raven abundance in both areas increased over time. However, the magnitude of differences between Yucca Mountain and control surveys did not change over time, indicating that the increase in raven abundance observed during this study was not related to site characterization activities. Increases over time on both Yucca Mountain and control routes are consistent with increases in raven abundance in the Mojave Desert reported by the annual Breeding Bird Survey of the US. Fish and Wildlife Service. Evidence from the Desert Tortoise Monitoring Program at Yucca Mountain suggests that ravens are not a significant predator of small tortoises in this locale. Carcasses of small tortoises (less than 110 mm in length) collected during the study showed little evidence of raven predation, and 59 radiomarked hatchlings that were monitored on a regular basis were not preyed upon by ravens. Overall, no direct evidence of raven predation on tortoises was observed during this study. Small tortoises are probably encountered so infrequently by ravens that they are rarely exploited as a food source. This is likely due to the relatively low abundance of both desert tortoises and ravens in the Yucca Mountain area.

  18. The Effects of Site Characterization Activities on the Abundance of Ravens (Corvus corax) in the Yucca Mountain Area

    International Nuclear Information System (INIS)

    P.E. Lederle

    1998-01-01

    In response to the Nuclear Waste Policy Act of 1982 and the Nuclear Waste Policy Amendments Act of 1987, the U.S. Department of Energy (DOE) developed and is implementing the Yucca Mountain Site Characterization Project. Raven abundance was measured from August 1991 through August 1995 along treatment and control routes to evaluate whether site characterization activities resulted in increased raven abundance at Yucca Mountain. This study fulfills the requirement set forth in the incidental take provisions of the Biological Opinion that DOE monitor the abundance of ravens at Yucca Mountain. Ravens were more abundant at Yucca Mountain than in the control area, and raven abundance in both areas increased over time. However, the magnitude of differences between Yucca Mountain and control surveys did not change over time, indicating that the increase in raven abundance observed during this study was not related to site characterization activities. Increases over time on both Yucca Mountain and control routes are consistent with increases in raven abundance in the Mojave Desert reported by the annual Breeding Bird Survey of the US. Fish and Wildlife Service. Evidence from the Desert Tortoise Monitoring Program at Yucca Mountain suggests that ravens are not a significant predator of small tortoises in this locale. Carcasses of small tortoises (less than 110 mm in length) collected during the study showed little evidence of raven predation, and 59 radiomarked hatchlings that were monitored on a regular basis were not preyed upon by ravens. Overall, no direct evidence of raven predation on tortoises was observed during this study. Small tortoises are probably encountered so infrequently by ravens that they are rarely exploited as a food source. This is likely due to the relatively low abundance of both desert tortoises and ravens in the Yucca Mountain area

  19. Ravens notice dominance reversals among conspecifics within and outside their social group.

    Science.gov (United States)

    Massen, Jorg J M; Pašukonis, Andrius; Schmidt, Judith; Bugnyar, Thomas

    2014-04-22

    A core feature of social intelligence is the understanding of third-party relations, which has been experimentally demonstrated in primates. Whether other social animals also have this capacity, and whether they can use this capacity flexibly to, for example, also assess the relations of neighbouring conspecifics, remains unknown. Here we show that ravens react differently to playbacks of dominance interactions that either confirm or violate the current rank hierarchy of members in their own social group and of ravens in a neighbouring group. Therefore, ravens understand third-party relations and may deduce those not only via physical interactions but also by observation.

  20. Ravens intervene in others' bonding attempts.

    Science.gov (United States)

    Massen, Jorg J M; Szipl, Georgine; Spreafico, Michela; Bugnyar, Thomas

    2014-11-17

    The competition for power in a complex social world is hypothesized to be a driving force in the evolution of intelligence. More specifically, power may be obtained not only by brute force but also by social strategies resembling human politics. Most empirical evidence comes from primate studies that report unprovoked aggression by dominants to maintain power by spreading fear and third-party interventions in conflicts. Coalitionary support has also been described in other animals and is often linked to social bonding. As coalitions can lead to a gain in power and fitness benefits, individuals may try to prevent coalitionary support or indirectly prevent others from forming social bonds that might lead to coalitions. Although there is some empirical evidence that coalitionary support can be manipulated, little is known about the indirect strategy. We show here that wild ravens (Corvus corax) regularly intervene in affiliative interactions of others even though such interventions are potentially risky and without immediate benefits. Moreover, the identities of both interveners and intervened pairs are not randomly distributed. Ravens with existing ties initiate most interventions, and ravens that are creating new ties are most likely to be the targets of interventions. These patterns are consistent with the idea that interventions function to prevent others from forming alliances and consequently becoming future competitors. We thus show previously undescribed social maneuvers in the struggle for power. These maneuvers are likely to be of importance in other social species as well. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

  1. Estudio sobre la pertinencia del uso de las normas disponibles del Raven en adultos mayores chilenos Estudo sobre a pertinência da utilização das normas disponíveis de Raven em idosos chilenos Study on the relevance of using available norms Raven in Chileans older adults

    OpenAIRE

    Cristina Alarcón Paz; Vanessa Díaz Valenzuela; Jacqueline Hernández Rosales; Claudia Estrada Goic

    2012-01-01

    La evaluación de la inteligencia en población adulto mayor ha aumentado su relevancia debido al incremento de la esperanza de vida. Este estudio centra su interés en la pertinencia de normas disponibles para el Test de Matrices Progresivas de Raven para dicha población. Se utilizaron normas de Colchester (1942, en Raven, Court y Raven, 2008), las más completas existentes. Participaron 102 adultos mayores voluntarios (más de 60 años). El diseño fue no experimental transversal correlacional. Lo...

  2. RAVEN-2: Around-The-World UAV Project

    National Research Council Canada - National Science Library

    Burleigh, Chris

    2003-01-01

    The Raven around-the-world UAV project is part of an on-going effort to build up a significant European capability in the design, construction and operation of large UAVs and manned reconnaissance aircraft...

  3. NH11B-1726: FrankenRaven: A New Platform for Remote Sensing

    Science.gov (United States)

    Dahlgren, Robert; Fladeland, Matthew M.; Pinsker, Ethan A.; Jasionowicz, John P.; Jones, Lowell L.; Pscheid, Matthew J.

    2016-01-01

    Small, modular aircraft are an emerging technology with a goal to maximize flexibility and enable multi-mission support. This reports the progress of an unmanned aerial system (UAS) project conducted at the NASA Ames Research Center (ARC) in 2016. This interdisciplinary effort builds upon the success of the 2014 FrankenEye project to apply rapid prototyping techniques to UAS, to develop a variety of platforms to host remote sensing instruments. In 2016, ARC received AeroVironment RQ-11A and RQ-11B Raven UAS from the US Department of the Interior, Office of Aviation Services. These aircraft have electric propulsion, a wingspan of roughly 1.3m, and have demonstrated reliability in challenging environments. The Raven airframe is an ideal foundation to construct more complex aircraft, and student interns using 3D printing were able to graft multiple Raven wings and fuselages into FrankenRaven aircraft. Aeronautical analysis shows that the new configuration has enhanced flight time, payload capacity, and distance compared to the original Raven. The FrankenRaven avionics architecture replaces the mil-spec avionics with COTS technology based upon the 3DR Pixhawk PX4 autopilot with a safety multiplexer for failsafe handoff to 2.4 GHz RC control and 915 MHz telemetry. This project demonstrates how design reuse, rapid prototyping, and modular subcomponents can be leveraged into flexible airborne platforms that can host a variety of remote sensing payloads and even multiple payloads. Modularity advances a new paradigm: mass-customization of aircraft around given payload(s). Multi-fuselage designs are currently under development to host a wide variety of payloads including a zenith-pointing spectrometer, a magnetometer, a multi-spectral camera, and a RGB camera. After airworthiness certification, flight readiness review, and test flights are performed at Crows Landing airfield in central California, field data will be taken at Kilauea volcano in Hawaii and other locations.

  4. Selection of anthropogenic features and vegetation characteristics by nesting Common Ravens in the sagebrush ecosystem

    Science.gov (United States)

    Howe, Kristy B.; Coates, Peter S.; Delehanty, David J.

    2014-01-01

    Common Raven (Corvus corax) numbers and distribution are increasing throughout the sagebrush steppe, influencing avian communities in complex ways. Anthropogenic structures are thought to increase raven populations by providing food and nesting subsidies, which is cause for concern because ravens are important nest predators of sensitive species, including Greater Sage-Grouse (Centrocercus urophasianus). During 2007–2009, we located raven nests in southeastern Idaho and conducted a resource selection analysis. We measured variables at multiple spatial scales for 72 unique nest locations, including landscape-level vegetation characteristics and anthropogenic structures. Using generalized linear mixed models and an information-theoretic approach, we found a 31% decrease in the odds of nesting by ravens for every 1 km increase in distance away from a transmission line. Furthermore, a 100-m increase in distance away from the edge of two different land cover types decreased the odds of nesting by 20%, and an increase in the amount of edge by 1 km within an area of 102.1 ha centered on the nest increased the odds of nesting by 49%. A post hoc analysis revealed that ravens were most likely to nest near edges of adjoining big sagebrush (Artemisia tridentata) and land cover types that were associated with direct human disturbance or fire. These findings contribute to our understanding of raven expansion into rural environments and could be used to make better-informed conservation decisions, especially in the face of increasing renewable energy development.

  5. Time Dependent Data Mining in RAVEN

    Energy Technology Data Exchange (ETDEWEB)

    Cogliati, Joshua Joseph [Idaho National Lab. (INL), Idaho Falls, ID (United States); Chen, Jun [Idaho National Lab. (INL), Idaho Falls, ID (United States); Patel, Japan Ketan [Idaho National Lab. (INL), Idaho Falls, ID (United States); Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Maljovec, Daniel Patrick [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Andrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Talbot, Paul William [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2016-09-01

    RAVEN is a generic software framework to perform parametric and probabilistic analysis based on the response of complex system codes. The goal of this type of analyses is to understand the response of such systems in particular with respect their probabilistic behavior, to understand their predictability and drivers or lack of thereof. Data mining capabilities are the cornerstones to perform such deep learning of system responses. For this reason static data mining capabilities were added last fiscal year (FY 15). In real applications, when dealing with complex multi-scale, multi-physics systems it seems natural that, during transients, the relevance of the different scales, and physics, would evolve over time. For these reasons the data mining capabilities have been extended allowing their application over time. In this writing it is reported a description of the new RAVEN capabilities implemented with several simple analytical tests to explain their application and highlight the proper implementation. The report concludes with the application of those newly implemented capabilities to the analysis of a simulation performed with the Bison code.

  6. Generation speed in Raven's Progressive Matrices Test

    NARCIS (Netherlands)

    Verguts, T.; Boeck, P. De; Maris, E.G.G.

    1999-01-01

    In this paper, we investigate the role of response fluency on a well-known intelligence test, Raven's (1962) Advanced Progressive Matrices (APM) test. Critical in solving this test is finding rules that govern the items. Response fluency is conceptualized as generation speed or the speed at which a

  7. RAVEN: a GUI and an Artificial Intelligence Engine in a Dynamic PRA Framework

    Energy Technology Data Exchange (ETDEWEB)

    C. Rabiti; D. Mandelli; A. Alfonsi; J. Cogliati; R. Kinoshita; D. Gaston; R. Martineau; C. Curtis

    2013-06-01

    Increases in computational power and pressure for more accurate simulations and estimations of accident scenario consequences are driving the need for Dynamic Probabilistic Risk Assessment (PRA) [1] of very complex models. While more sophisticated algorithms and computational power address the back end of this challenge, the front end is still handled by engineers that need to extract meaningful information from the large amount of data and build these complex models. Compounding this problem is the difficulty in knowledge transfer and retention, and the increasing speed of software development. The above-described issues would have negatively impacted deployment of the new high fidelity plant simulator RELAP-7 (Reactor Excursion and Leak Analysis Program) at Idaho National Laboratory. Therefore, RAVEN that was initially focused to be the plant controller for RELAP-7 will help mitigate future RELAP-7 software engineering risks. In order to accomplish this task, Reactor Analysis and Virtual Control Environment (RAVEN) has been designed to provide an easy to use Graphical User Interface (GUI) for building plant models and to leverage artificial intelligence algorithms in order to reduce computational time, improve results, and help the user to identify the behavioral pattern of the Nuclear Power Plants (NPPs). In this paper we will present the GUI implementation and its current capability status. We will also introduce the support vector machine algorithms and show our evaluation of their potentiality in increasing the accuracy and reducing the computational costs of PRA analysis. In this evaluation we will refer to preliminary studies performed under the Risk Informed Safety Margins Characterization (RISMC) project of the Light Water Reactors Sustainability (LWRS) campaign [3]. RISMC simulation needs and algorithm testing are currently used as a guidance to prioritize RAVEN developments relevant to PRA.

  8. RavenDB 2.x beginner's guide

    CERN Document Server

    Tannir, Khaled

    2013-01-01

    Written in a friendly, example-driven Beginner's Guide format, there are plenty of step-by-step instructions and examples that are designed to help you get started with RavenDB. If you are a .NET developer, new to document-oriented databases, and you wish to learn how to build applications using NoSQL databases, then this book is for you. Experience with relational database systems will be helpful, but not necessary.

  9. Estudio sobre la pertinencia del uso de las normas disponibles del Raven en adultos mayores chilenos

    OpenAIRE

    Alarcón Paz,Cristina; Díaz Valenzuela,Vanessa; Hernández Rosales,Jacqueline; Estrada Goic,Claudia

    2012-01-01

    La evaluación de la inteligencia en población adulto mayor ha aumentado su relevancia debido al incremento de la esperanza de vida. Este estudio centra su interés en la pertinencia de normas disponibles para el Test de Matrices Progresivas de Raven para dicha población. Se utilizaron normas de Colchester (1942, en Raven, Court y Raven, 2008), las más completas existentes. Participaron 102 adultos mayores voluntarios (más de 60 años). El diseño fue no experimental transversal correlacional. Lo...

  10. Estudio sobre la pertinencia del uso de las normas disponibles del Raven en adultos mayores chilenos Estudo sobre a pertinência da utilização das normas disponíveis de Raven em idosos chilenos Study on the relevance of using available norms Raven in Chileans older adults

    Directory of Open Access Journals (Sweden)

    Cristina Alarcón Paz

    2012-12-01

    Full Text Available La evaluación de la inteligencia en población adulto mayor ha aumentado su relevancia debido al incremento de la esperanza de vida. Este estudio centra su interés en la pertinencia de normas disponibles para el Test de Matrices Progresivas de Raven para dicha población. Se utilizaron normas de Colchester (1942, en Raven, Court y Raven, 2008, las más completas existentes. Participaron 102 adultos mayores voluntarios (más de 60 años. El diseño fue no experimental transversal correlacional. Los resultados indican que las normas resultan poco exigentes para ese grupo y que existen diferencias significativas entre los adultos de la tercera y cuarta edad, privilegiando a los del primer grupo. El índice de discrepancia mostró alta sensibilidad, indicando que la distribución de puntajes esperados no se corresponde al de la población general. Se discuten los resultados en torno a la necesidad de actualización de las normas y la consideración de las nuevas características de este periodo vital.A avaliação da inteligência na população idosa tem aumentado sua importância devido ao aumento da expectativa de vida. Este estudo está centrado na relevância das normas disponíveis para o teste de Matrizes Progressivas de Raven para essa população. Foram utilizadas as normas de Colchester (1942, citado por Raven, Court y Raven, 2008, as mais completas disponíveis. Participaram 102 idosos voluntários (com idade superior a 60 anos. O desenho do estudo foi não experimental transversal correlacional. Os resultados indicam que as normas são pouco exigentes para esse grupo e que existem diferenças significativas entre os adultos da terceira e quarta idade, privilegiando o primeiro grupo. O índice de discrepância mostrou alta sensibilidade, indicando que a distribuição de pontuações esperadas não corresponde a da população em geral. Os resultados são discutidos em relação à necessidade de atualização das normas e da considera

  11. Raven's Test Performance of Sub-Saharan Africans: Average Performance, Psychometric Properties, and the Flynn Effect

    Science.gov (United States)

    Wicherts, Jelte M.; Dolan, Conor V.; Carlson, Jerry S.; van der Maas, Han L. J.

    2010-01-01

    This paper presents a systematic review of published data on the performance of sub-Saharan Africans on Raven's Progressive Matrices. The specific goals were to estimate the average level of performance, to study the Flynn Effect in African samples, and to examine the psychometric meaning of Raven's test scores as measures of general intelligence.…

  12. The Shortened Raven Standard Progressive Matrices: Item Response Theory-Based Psychometric Analyses and Normative Data

    Science.gov (United States)

    Van der Elst, Wim; Ouwehand, Carolijn; van Rijn, Peter; Lee, Nikki; Van Boxtel, Martin; Jolles, Jelle

    2013-01-01

    The purpose of the present study was to evaluate the psychometric properties of a shortened version of the Raven Standard Progressive Matrices (SPM) under an item response theory framework (the one- and two-parameter logistic models). The shortened Raven SPM was administered to N = 453 cognitively healthy adults aged between 24 and 83 years. The…

  13. The World's Best Anglo-American Universities' Knowledge Management Attributes

    Science.gov (United States)

    Tower, Greg; Plummer, Julie; Ridgewell, Brenda; Goforth, Emily; Tower, Spence

    2009-01-01

    Key knowledge management attributes of the world's most prestigious Anglo-American universities are surprisingly under-reported especially by best ranked USA institutions. This leads to calls for more transparency.

  14. Learning of Three-Term Contingencies Correlates with Raven Scores, but Not with Measures of Cognitive Processing

    Science.gov (United States)

    Williams, Ben A.; Pearlberg, Stephen L.

    2006-01-01

    College undergraduates learned word lists involving three-term contingencies (stimulus-response-outcome). Learning rate was correlated approximately 0.5 with scores on Raven's Advanced Progressive Matrices (Raven) but did not correlate significantly with several tasks (inspection time, card-sorting, trail-making, PASAT) shown to be associated with…

  15. RAVEN AS A TOOL FOR DYNAMIC PROBABILISTIC RISK ASSESSMENT: SOFTWARE OVERVIEW

    Energy Technology Data Exchange (ETDEWEB)

    Alfonsi Andrea; Mandelli Diego; Rabiti Cristian; Joshua Cogliati; Robert Kinoshita

    2013-05-01

    RAVEN is a software tool under development at the Idaho National Laboratory (INL) that acts as the control logic driver and post-processing tool for the newly developed Thermo-Hydraylic code RELAP- 7. The scope of this paper is to show the software structure of RAVEN and its utilization in connection with RELAP-7. A short overview of the mathematical framework behind the code is presented along with its main capabilities such as on-line controlling/monitoring and Monte-Carlo sampling. A demo of a Station Black Out PRA analysis of a simplified Pressurized Water Reactor (PWR) model is shown in order to demonstrate the Monte-Carlo and clustering capabilities.

  16. Ontogeny of Social Relations and Coalition Formation in Common Ravens (Corvus corax).

    Science.gov (United States)

    Loretto, Matthias-Claudio; Fraser, Orlaith N; Bugnyar, Thomas

    The social intelligence hypothesis, originally developed for primates to explain their high intelligence and large relative brain size, assumes that challenges posed by social life in complex societies with many group members lead to the evolution of advanced cognitive abilities. In birds, pair-bonded species have larger brains than non-pair bonded species, indicating that the quality of social relationships better predicts social complexity than group size. Ravens are a long-term monogamous and territorial species, renowned for their sophisticated socio-cognitive skills and complex social relationships. Notably, during their early years they live in fission-fusion-like non-breeder societies in which social relationships could be of particular importance. Here we observed the development of dominance and affiliative relationships in 12 hand-raised captive ravens, examining the influence of age, sex and kinship on social interactions. Furthermore, we investigated at which developmental step a stable hierarchy emerged, whether third-party interventions played a role and how selectively birds intervened in others' conflicts. At 4-5 months post-fledging, we found an increase in socio-positive behaviour and a decrease in aggression, along with the establishment of a linear dominance rank hierarchy. In line with kin selection theory, siblings exhibited a greater degree of tolerance and engaged in more socio-positive behaviour. In their first few months, ravens frequently intervened in others' conflicts but supported mainly the aggressor; later on, their support became more selective towards kin and close social partners. These findings indicate that ravens engage in sophisticated social behaviours and form stable relationships already in their first year of life.

  17. Sediment accumulation and water volume in Loch Raven Reservoir, Baltimore County, Maryland

    Science.gov (United States)

    Banks, William S.L.; LaMotte, Andrew E.

    1999-01-01

    Baltimore City and its metropolitan area are supplied with water from three reservoirs, Liberty Reservoir, Prettyboy Reservoir, and Loch Raven Reservoir. Prettyboy and Loch Raven Reservoirs are located on the Gunpowder Falls (figure 1). The many uses of the reservoir system necessitate coordination and communication among resource managers. The 1996 Amendment to the Safe Drinking Water Act require States to complete source-water assessments for public drinking-water supplies. As part of an ongoing effort to provide safe drinking water and as a direct result of these laws, the City of Baltimore and the Maryland Department of the Environment (MDE), in cooperation with other State and local agencies, are studying the Gunpowder Falls Basin and its role as a source of water supply to the Baltimore area. As a part of this study, the U.S. Geological Survey (USGS), in cooperation with the Maryland Geological Survey (MGS), with funding provided by the City of Baltimore and MDE, is examining sediment accumulation in Loch Raven Reservoir. The Baltimore City Department of Public Works periodically determines the amount of water that can be stored in its reservoirs. To make this determination, field crews measure the water depth along predetermined transects or ranges. These transects provide consistent locations where water depth, or bathymetric, measurements can be made. Range surveys are repeated to provide a record of the change in storage capacity due to sediment accumulation over time. Previous bathymetric surveys of Loch Raven Reservoir were performed in 1943, 1961, 1972, and 1985. Errors in data-collection and analysis methods have been assessed and documented (Baltimore City Department of Public Works, 1989). Few comparisons can be made among survey results because of changing data-collection techniques and analysis methods.

  18. Psychometric Investigation of the Raven's Colored Progressive Matrices Test in a Sample of Preschool Children.

    Science.gov (United States)

    Lúcio, Patrícia Silva; Cogo-Moreira, Hugo; Puglisi, Marina; Polanczyk, Guilherme Vanoni; Little, Todd D

    2017-11-01

    The present study investigated the psychometric properties of the Raven's Colored Progressive Matrices (CPM) test in a sample of preschoolers from Brazil ( n = 582; age: mean = 57 months, SD = 7 months; 46% female). We investigated the plausibility of unidimensionality of the items (confirmatory factor analysis) and differential item functioning (DIF) for sex and age (multiple indicators multiple causes method). We tested four unidimensional models and the one with the best-fit index was a reduced form of the Raven's CPM. The DIF analysis was carried out with the reduced form of the test. A few items presented DIF (two for sex and one for age), confirming that the Raven's CPM items are mostly measurement invariant. There was no effect of sex on the general factor, but increasing age was associated with higher values of the g factor. Future research should indicate if the reduced form is suitable for evaluating the general ability of preschoolers.

  19. UAV-UGV collaboration with a PackBot UGV and Raven SUAV for pursuit and tracking of a dynamic target

    Science.gov (United States)

    Cheung, Carol; Grocholsky, Benjamin

    2008-04-01

    Fielded military unmanned systems are currently extending the reach of the U.S. forces in surveillance and reconnaissance missions. Providing long-range eyes on enemy operations, unmanned aerial vehicles (UAVs), such as the AeroVironment Raven, have proven themselves indispensable without risking soldiers' lives. Meanwhile, unmanned ground vehicles (UGVs), such as the iRobot PackBot, are quickly joining ranks in Explosive Ordnance Disposal (EOD) missions to identify and dispose of ordnance or to clear roads and buildings. UAV-UGV collaboration and the benefit of force multiplication is increasingly more tangible. iRobot Corporation and CMU Robotics Institute are developing the capability to simultaneously control the Raven small UAV (SUAV) and PackBot UGV from a single operator control unit (OCU) via waypoint navigation. Techniques to support autonomous collaboration for pursuing and tracking a dismounted soldier will be developed and integrated on a Raven-PackBot team. The Raven will survey an area and geolocate an operator-selected target. The Raven will share this target location with the PackBot and together they will collaboratively pursue the target intelligently to maintain track on the target. We will accomplish this goal by implementing a decentralized control and data fusion software architecture. The PackBot will be equipped with on-board waypoint navigation algorithms, a Navigator Payload containing a stereo-vision system, GPS, and a high-accuracy IMU. The Raven will have two on-board cameras, a side-looking and a forward-looking optical camera. The Supervisor OCU will act as the central mission planner, allowing the operator to monitor mission events and override vehicle tasks.

  20. The influences of attributes, skills and knowledge of managers on refurbishment project performance

    Science.gov (United States)

    Ishak, Nurfadzillah

    2018-02-01

    Recently, the momentum on the growth of national building industry shows the increasing of the demand in refurbishment works becomes a trend spreading over the Malaysia. However, the potential of these activities normally related with the complexity in technical aspect compared to new build schemes. It will be reflecting on the unsatisfactory project performance. A competent manager is required to have the appropriate attributes, skills and knowledge in able to perform all the duties associated with managing the refurbishment building projects. Therefore, this paper is to identify the most appropriate attributes, skills and knowledge that required for managers to indicate the relationship between the influences on the refurbishment projects performance. This finding is indicate the importance of development the personal attributes, skills, and knowledge of managers and adds as benefit of raising the profile and image of managers in refurbishment building industry through a dissemination of the findings.

  1. Socially Driven Consistent Behavioural Differences during Development in Common Ravens and Carrion Crows.

    Science.gov (United States)

    Miller, Rachael; Laskowski, Kate L; Schiestl, Martina; Bugnyar, Thomas; Schwab, Christine

    2016-01-01

    Consistent individual differences in behaviour, or 'personality', are likely to be influenced by development, social context, and species ecology, though few comparative, longitudinal studies exist. Here, we investigated the role of development and social context on personality variation in two identically reared, social corvids: common ravens and carrion crows. We repeatedly presented subjects with a variety of novel food and objects, while alone and in a primarily sibling subgroup, from fledging to sub-adulthood. We predicted that consistent individual differences would emerge later in development, and that conspecific presence would facilitate behavioural similarities. In contrast to our predictions, we found that individuals of both species were highly inconsistent in their behavioural responses throughout the development period. In line with our predictions, though in the ravens only, conspecific presence promoted behavioural similarities as individuals were strongly shaped by their subgroup, and it is likely that these effects were driven by social context rather than relatedness. We discuss these findings in relation to developmental steps and the role of social relations in these species. Overall, our findings highlight that these two species are highly adaptable in their behaviour, and the ravens in particular are strongly influenced by their social environment, which may facilitate cooperation and social learning.

  2. Raven's matrices and working memory: a dual-task approach.

    Science.gov (United States)

    Rao, K Venkata; Baddeley, Alan

    2013-01-01

    Raven's Matrices Test was developed as a "pure" measure of Spearman's concept of general intelligence, g. Subsequent research has attempted to specify the processes underpinning performance, some relating it to the concept of working memory and proposing a crucial role for the central executive, with the nature of other components currently unclear. Up to this point, virtually all work has been based on correlational analysis of number of correct solutions, sometimes related to possible strategies. We explore the application to this problem of the concurrent task methodology used widely in developing the concept of multicomponent working memory. Participants attempted to solve problems from the matrices under baseline conditions, or accompanied by backward counting or verbal repetition tasks, assumed to disrupt the central executive and phonological loop components of working memory, respectively. As in other uses of this method, number of items correct showed little effect, while solution time measures gave very clear evidence of an important role for the central executive, but no evidence for phonological loop involvement. We conclude that this and related concurrent task techniques hold considerable promise for the analysis of Raven's matrices and potentially for other established psychometric tests.

  3. Variation in Raven's Progressive Matrices Scores across Time and Place

    Science.gov (United States)

    Brouwers, Symen A.; Van de Vijver, Fons J. R.; Van Hemert, Dianne A.

    2009-01-01

    The paper describes a cross-cultural and historical meta-analysis of Raven's Progressive Matrices. Data were analyzed of 798 samples from 45 countries (N = 244,316), which were published between 1944 and 2003. Country-level indicators of educational permeation (which involves a broad set of interrelated educational input and output factors that…

  4. Attribution patterns, attitude and knowledge of Hiv/Aids on sexual ...

    African Journals Online (AJOL)

    Sexual behavioural change is central to HIV/AIDS control programme. This study was carried out among students (n = 603; average age = 18.9) of Covenant University, Nigeria. The study was designed to examine the impact of attribution patterns, attitude and knowledge of HIV/AIDS on sexual behavioural change.

  5. Expression and purification of sea raven type II antifreeze protein from Drosophila melanogaster S2 cells.

    Science.gov (United States)

    Scotter, Andrew J; Kuntz, Douglas A; Saul, Michelle; Graham, Laurie A; Davies, Peter L; Rose, David R

    2006-06-01

    We present a system for the expression and purification of recombinant sea raven type II antifreeze protein, a cysteine-rich, C-type lectin-like globular protein that has proved to be a difficult target for recombinant expression and purification. The cDNAs encoding the pro- and mature forms of the sea raven protein were cloned into a modified pMT Drosophila expression vector. These constructs produced N-terminally His(6)-tagged pro- and mature forms of the type II antifreeze protein under the control of a metallothionein promoter when transfected into Drosophila melanogaster S2 cells. Upon induction of stable cell lines the two proteins were expressed at high levels and secreted into the medium. The proteins were then purified from the cell medium in a simple and rapid protocol using immobilized metal affinity chromatography and specific protease cleavage by tobacco etch virus protease. The proteins demonstrated antifreeze activity indistinguishable from that of wild-type sea raven antifreeze protein purified from serum as illustrated by ice affinity purification, ice crystal morphology, and their ability to inhibit ice crystal growth. This expression and purification system gave yields of 95 mg/L of fully active mature sea raven type II AFP and 9.6 mg/L of the proprotein. This surpasses all previous attempts to express this protein in Escherichia coli, baculovirus-infected fall armyworm cells and Pichia pastoris and will provide sufficient protein for structural analysis.

  6. Solving the Raven Progressive Matrices by Adults with Intellectual Disability with/without Down Syndrome: Different Cognitive Patterns as Indicated by Eye-Movements

    Science.gov (United States)

    Vakil, Eli; Lifshitz-Zehavi, Hefziba

    2012-01-01

    Raven matrices are used for assessing fluid intelligence and the intellectual level of groups with low intelligence. Our study addresses qualitative analysis of information processing in Raven matrices performance among individuals with intellectual disability with that of their typically developed (TD) counterparts. Twenty-three adults with…

  7. Subadult ravens generally don’t transfer valuable tokens to conspecifics when there is nothing to gain for themselves.

    Directory of Open Access Journals (Sweden)

    Jorg J.M. Massen

    2015-06-01

    Full Text Available The extent to which humans help each other is extraordinary in itself, and difficult to explain from an evolutionary perspective. Therefore, there has been a recent surge in studies investigating the evolution of prosocial behavior using a comparative approach. Nevertheless, most of these studies have focused on primates only, and little is known about other animal orders. In a previous study, common ravens (Corvus corax have been shown to be indifferent to the gains of conspecifics. However, this may have been due to the experimental set-up, as many studies that use different set-ups report conflicting results within the same species. We therefore tested ravens’ prosocial tendencies in a different set-up; i.e., we tested whether sub-adult ravens would transfer a token to a partner and, thereby, provide the partner with the opportunity to exchange a token for a reward. To control and test for effects of partner identity, we tested 8 individuals both in a dyadic and in a group setting. Our results show that in general the ravens in our experiment did not show other-regarding preferences. However, some acts of helping did occur spontaneously. We discuss what could be the causes for those sporadic instances, and why in general prosocial tendencies were found to be almost lacking among the ravens in this set-up.

  8. Initial Probabilistic Evaluation of Reactor Pressure Vessel Fracture with Grizzly and Raven

    Energy Technology Data Exchange (ETDEWEB)

    Spencer, Benjamin [Idaho National Lab. (INL), Idaho Falls, ID (United States); Hoffman, William [Univ. of Idaho, Moscow, ID (United States); Sen, Sonat [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Dickson, Terry [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Bass, Richard [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2015-10-01

    The Grizzly code is being developed with the goal of creating a general tool that can be applied to study a variety of degradation mechanisms in nuclear power plant components. The first application of Grizzly has been to study fracture in embrittled reactor pressure vessels (RPVs). Grizzly can be used to model the thermal/mechanical response of an RPV under transient conditions that would be observed in a pressurized thermal shock (PTS) scenario. The global response of the vessel provides boundary conditions for local models of the material in the vicinity of a flaw. Fracture domain integrals are computed to obtain stress intensity factors, which can in turn be used to assess whether a fracture would initiate at a pre-existing flaw. These capabilities have been demonstrated previously. A typical RPV is likely to contain a large population of pre-existing flaws introduced during the manufacturing process. This flaw population is characterized stastistically through probability density functions of the flaw distributions. The use of probabilistic techniques is necessary to assess the likelihood of crack initiation during a transient event. This report documents initial work to perform probabilistic analysis of RPV fracture during a PTS event using a combination of the RAVEN risk analysis code and Grizzly. This work is limited in scope, considering only a single flaw with deterministic geometry, but with uncertainty introduced in the parameters that influence fracture toughness. These results are benchmarked against equivalent models run in the FAVOR code. When fully developed, the RAVEN/Grizzly methodology for modeling probabilistic fracture in RPVs will provide a general capability that can be used to consider a wider variety of vessel and flaw conditions that are difficult to consider with current tools. In addition, this will provide access to advanced probabilistic techniques provided by RAVEN, including adaptive sampling and parallelism, which can dramatically

  9. Item and Error Analysis on Raven's Coloured Progressive Matrices in Williams Syndrome

    Science.gov (United States)

    Van Herwegen, Jo; Farran, Emily; Annaz, Dagmara

    2011-01-01

    Raven's Coloured Progressive Matrices (RCPM) is a standardised test that is commonly used to obtain a non-verbal reasoning score for children. As the RCPM involves the matching of a target to a pattern it is also considered to be a visuo-spatial perception task. RCPM is therefore frequently used in studies in Williams Syndrome (WS), in order to…

  10. Strategy use fully mediates the relationship between working memory capacity and performance on Raven's matrices.

    Science.gov (United States)

    Gonthier, Corentin; Thomassin, Noémylle

    2015-10-01

    Working memory capacity consistently correlates with fluid intelligence. It has been suggested that this relationship is partly attributable to strategy use: Participants with high working memory capacity would use more effective strategies, in turn leading to higher performance on fluid intelligence tasks. However, this idea has never been directly investigated. In 2 experiments, we tested this hypothesis by directly manipulating strategy use in a combined experimental-correlational approach (Experiment 1; N = 250) and by measuring strategy use with a self-report questionnaire (Experiment 2; N = 93). Inducing all participants to use an effective strategy in Raven's matrices decreased the correlation between working memory capacity and performance; the strategy use measure fully mediated the relationship between working memory capacity and performance on the matrices task. These findings indicate that individual differences in strategic behavior drive the predictive utility of working memory. We interpret the results within a theoretical framework integrating the multiple mediators of the relationship between working memory capacity and high-level cognition. (c) 2015 APA, all rights reserved).

  11. Application of hierarchical genetic models to Raven and WAIS subtests: a Dutch twin study

    NARCIS (Netherlands)

    Rijsdijk, F.V.; Vernon, P.A.; Boomsma, D.I.

    2002-01-01

    Hierarchical models of intelligence are highly informative and widely accepted. Application of these models to twin data, however, is sparse. This paper addresses the question of how a genetic hierarchical model fits the Wechsler Adult Intelligence Scale (WAIS) subtests and the Raven Standard

  12. Development of Abbreviated Nine-Item Forms of the Raven's Standard Progressive Matrices Test

    Science.gov (United States)

    Bilker, Warren B.; Hansen, John A.; Brensinger, Colleen M.; Richard, Jan; Gur, Raquel E.; Gur, Ruben C.

    2012-01-01

    The Raven's Standard Progressive Matrices (RSPM) is a 60-item test for measuring abstract reasoning, considered a nonverbal estimate of fluid intelligence, and often included in clinical assessment batteries and research on patients with cognitive deficits. The goal was to develop and apply a predictive model approach to reduce the number of items…

  13. Analysis of the Raven CPM Subtest Scores for a Sample of Gifted Children.

    Science.gov (United States)

    Kluever, Raymond C.; Green, Kathy E.

    The inter-subject/intra-subject subtest patterns (profiles) of the same sample of gifted children were examined based on factors found in a previous study of the Raven Coloured Progressive Matrices Test (CPM) that investigated structural properties with specific application to a sample of gifted children. The sample consisted of 166 children (78…

  14. Relaciones entre los testes de Bender y Matrizes Progressivas Coloridas de Raven en la evaluación de la inteligencia

    OpenAIRE

    Fermino Fernandes Sisto; Daniel Bartholomeu; Fabián Javier Marín Rueda; Acácia Aparecida Angeli dos Santos; Ana Paula Porto Noronha

    2008-01-01

    Esta pesquisa estudou as relações entre o Teste Gestaltico Visomotor de Bender avaliado conforme o Sistema de Pontuação Gradual (B-SPG) e as Matrizes Progressivas Coloridas de Raven. Participaram desta pesquisa 280 sujeitos com idades variando de sete a 10 anos com média de oito anos (DP=1,11) de ambos os sexos. Os testes foram aplicados coletivamente. Dentre os resultados, encontraram-se correlações negativas e significativas entre a medida do Bender e das séries do Raven, bem como com seu t...

  15. Análise da Produção Científica Brasileira sobre o Teste das Matrizes Progressivas de Raven

    OpenAIRE

    Cardoso, Lucila Moraes; Lopes, Érica Ive Xavier; Oliveira, Jamille Cavalcante de; Braga, Aline Pinheiro

    2017-01-01

    Resumo O Teste das Matrizes Progressivas de Raven é um instrumento não verbal para avaliação da inteligência. As pesquisas sobre ele, no Brasil, iniciaram-se na década de 1950 e continuaram a desenvolver-se com o passar dos anos, em maior ou menor escala de acordo com o período. O presente estudo objetivou quantificar e analisar a produção científica brasileira de artigos a respeito do Teste das Matrizes Progressivas de Raven, disponíveis nas bases de dados Scientific Electronic Library Onlin...

  16. Brains, tools, innovation and biogeography in crows and ravens

    Science.gov (United States)

    2012-01-01

    Background Crows and ravens (Passeriformes: Corvus) are large-brained birds with enhanced cognitive abilities relative to other birds. They are among the few non-hominid organisms on Earth to be considered intelligent and well-known examples exist of several crow species having evolved innovative strategies and even use of tools in their search for food. The 40 Corvus species have also been successful dispersers and are distributed on most continents and in remote archipelagos. Results This study presents the first molecular phylogeny including all species and a number of subspecies within the genus Corvus. We date the phylogeny and determine ancestral areas to investigate historical biogeographical patterns of the crows. Additionally, we use data on brain size and a large database on innovative behaviour and tool use to test whether brain size (i) explains innovative behaviour and success in applying tools when foraging and (ii) has some correlative role in the success of colonization of islands. Our results demonstrate that crows originated in the Palaearctic in the Miocene from where they dispersed to North America and the Caribbean, Africa and Australasia. We find that relative brain size alone does not explain tool use, innovative feeding strategies and dispersal success within crows. Conclusions Our study supports monophyly of the genus Corvus and further demonstrates the direction and timing of colonization from the area of origin in the Palaearctic to other continents and archipelagos. The Caribbean was probably colonized from North America, although some North American ancestor may have gone extinct, and the Pacific was colonized multiple times from Asia and Australia. We did not find a correlation between relative brain size, tool use, innovative feeding strategies and dispersal success. Hence, we propose that all crows and ravens have relatively large brains compared to other birds and thus the potential to be innovative if conditions and circumstances

  17. New Rule Use Drives the Relation between Working Memory Capacity and Raven's Advanced Progressive Matrices

    Science.gov (United States)

    Wiley, Jennifer; Jarosz, Andrew F.; Cushen, Patrick J.; Colflesh, Gregory J. H.

    2011-01-01

    The correlation between individual differences in working memory capacity and performance on the Raven's Advanced Progressive Matrices (RAPM) is well documented yet poorly understood. The present work proposes a new explanation: that the need to use a new combination of rules on RAPM problems drives the relation between performance and working…

  18. Exploration of the Raven APM-National Adult Reading Test discrepancy as a measure of intellectual decline in older persons.

    Science.gov (United States)

    van den Berg, Esther; Nys, Gudrun M S; Brands, Augustina M A; Ruis, Carla; van Zandvoort, Martine J E; Kessels, Roy P C

    2013-01-01

    Previous studies have shown that the discrepancy between performance on "fluid" and "crystallized" intelligence measures may serve as an indicator for intellectual decline. The validity of this procedure in older persons is unknown. The present study developed a multiple regression equation, to predict the Raven Advanced Progressive Matrices (APM) score from the National Adult Reading Test (NART) score and demographic variables in a large sample of healthy older persons (n = 270). The discrepancy between the predicted and observed Raven APM scores was transformed into a percentile distribution as an indicator of intellectual decline, which can be used in clinical practice. The validity of the procedure was further examined by comparing the proportion of persons with a significant decline (at the -1 and -1.65 SD level) between two older patient samples (87 patients with cerebral stroke and 387 patients with diabetes mellitus) by means of χ(2) tests. There was a significantly higher rate of intellectual decline at the -1 SD ("below average") and -1.65 SD ("impaired") cutoff levels for patients with stroke compared with patients with diabetes (stroke, 34% and 14%; diabetes, 16% and 5%, p Raven APM-NART discrepancy may be a useful measure of intellectual decline in older persons.

  19. Use of the Remote Access Virtual Environment Network (RAVEN) for coordinated IVA-EVA astronaut training and evaluation.

    Science.gov (United States)

    Cater, J P; Huffman, S D

    1995-01-01

    This paper presents a unique virtual reality training and assessment tool developed under a NASA grant, "Research in Human Factors Aspects of Enhanced Virtual Environments for Extravehicular Activity (EVA) Training and Simulation." The Remote Access Virtual Environment Network (RAVEN) was created to train and evaluate the verbal, mental and physical coordination required between the intravehicular (IVA) astronaut operating the Remote Manipulator System (RMS) arm and the EVA astronaut standing in foot restraints on the end of the RMS. The RAVEN system currently allows the EVA astronaut to approach the Hubble Space Telescope (HST) under control of the IVA astronaut and grasp, remove, and replace the Wide Field Planetary Camera drawer from its location in the HST. Two viewpoints, one stereoscopic and one monoscopic, were created all linked by Ethernet, that provided the two trainees with the appropriate training environments.

  20. Application of hierarchical genetic models to Raven and WAIS subtests: a Dutch twin study.

    Science.gov (United States)

    Rijsdijk, Frühling V; Vernon, P A; Boomsma, Dorret I

    2002-05-01

    Hierarchical models of intelligence are highly informative and widely accepted. Application of these models to twin data, however, is sparse. This paper addresses the question of how a genetic hierarchical model fits the Wechsler Adult Intelligence Scale (WAIS) subtests and the Raven Standard Progressive test score, collected in 194 18-year-old Dutch twin pairs. We investigated whether first-order group factors possess genetic and environmental variance independent of the higher-order general factor and whether the hierarchical structure is significant for all sources of variance. A hierarchical model with the 3 Cohen group-factors (verbal comprehension, perceptual organisation and freedom-from-distractibility) and a higher-order g factor showed the best fit to the phenotypic data and to additive genetic influences (A), whereas the unique environmental source of variance (E) could be modeled by a single general factor and specifics. There was no evidence for common environmental influences. The covariation among the WAIS group factors and the covariation between the group factors and the Raven is predominantly influenced by a second-order genetic factor and strongly support the notion of a biological basis of g.

  1. Matrizes progressivas coloridas de Raven - escala especial: normas para Porto Alegre, RS The Raven's coloured progressive matrices: norms for Porto Alegre, RS

    Directory of Open Access Journals (Sweden)

    Denise Ruschel Bandeira

    2004-12-01

    Full Text Available O Teste das Matrizes Progressivas Coloridas de Raven destina-se à avaliação do desenvolvimento intelectual de crianças de 5 a 11 anos de idade. O presente trabalho teve como objetivo estabelecer normas para as crianças de Porto Alegre - RS. A amostra foi composta por 779 crianças matriculadas em escolas estaduais, de 4 anos e 9 meses a 11 anos e 9 meses. Foi constatado aumento progressivo nas médias de pontos com o aumento da idade e não foram encontradas diferenças entre meninos e meninas. Na comparação com as crianças de escolas públicas de São Paulo, as médias das crianças de Porto Alegre foram mais altas, mas em geral foram inferiores às das escolas particulares de São Paulo. Foram estabelecidas as normas em percentis para cada faixa etária. Os resultados reforçam a necessidade do estabelecimento de normas distintas para as diferentes regiões do Brasil, principalmente em relação aos testes de inteligência.The Raven's Coloured Progressive Matrices was proposed standards to Porto Alegre (RS children. The sample was composed by 779 children from Porto Alegre state public schools, aged from 4 years and 9 months to 11 years and 9 months. It was found a progressive increase in average scores as age increased and it was not verified differences between boys and girls. Comparing average scores between children from São Paulo and Porto Alegre public schools we found that the average scores from Porto Alegre children was higher, but they were lower than the scores from São Paulo private schools children. Percentile ranks were obtained to each age level with range of six months. Research results show the need to establish specific norms to different Brazilian regions, mainly concerning intelligence tests.

  2. SU-F-T-287: A Preliminary Study On Patient Specific VMAT Verification Using a Phosphor-Screen Based Geometric QA System (Raven QA)

    International Nuclear Information System (INIS)

    Lee, M; Yi, B; Wong, J; Ding, K

    2016-01-01

    Purpose: The RavenQA system (LAP Laser, Germany) is a QA device with a phosphor screen detector for performing the QA tasks of TG-142. This study tested if it is feasible to use the system for the patient specific QA of the Volumetric Modulated Arc Therapy (VMAT). Methods: Water equivalent material (5cm) is attached to the front of the detector plate of the RavenQA for dosimetry purpose. Then the plate is attached to the gantry to synchronize the movement between the detector and the gantry. Since the detector moves together with gantry, The ’Reset gantry to 0’ function of the Eclipse planning system (Varian, CA) is used to simulate the measurement situation when calculating dose of the detector plate. The same gantry setup is used when delivering the treatment beam for feasibility test purposes. Cumulative dose is acquired for each arc. The optical scatter component of each captured image from the CCD camera is corrected by deconvolving the 2D spatial invariant optical scatter kernel (OSK). We assume that the OSK is a 2D isotropic point spread function with inverse-squared decrease as a function of radius from the center. Results: Three cases of VMAT plans including head & neck, whole pelvis and abdomen-pelvis are tested. Setup time for measurements was less than 5 minutes. Passing rates of absolute gamma were 99.3, 98.2, 95.9 respectively for 3%/3mm criteria and 96.2, 97.1, 86.4 for 2%/2mm criteria. The abdomen-pelvis field has long treatment fields, 37cm, which are longer than the detector plate (25cm). This plan showed relatively lower passing rate than other plans. Conclusion: An algorithm for IMRT/VMAT verification using the RavenQA has been developed and tested. The model of spatially invariant OSK works well for deconvolution purpose. It is proved that the RavenQA can be used for the patient specific verification of VMAT. This work is funded in part by a Maryland Industrial Partnership Program grant to University of Maryland and to JPLC who owns the

  3. The RAVEN Toolbox and Its Use for Generating a Genome-scale Metabolic Model for Penicillium chrysogenum

    Science.gov (United States)

    Agren, Rasmus; Liu, Liming; Shoaie, Saeed; Vongsangnak, Wanwipa; Nookaew, Intawat; Nielsen, Jens

    2013-01-01

    We present the RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox: a software suite that allows for semi-automated reconstruction of genome-scale models. It makes use of published models and/or the KEGG database, coupled with extensive gap-filling and quality control features. The software suite also contains methods for visualizing simulation results and omics data, as well as a range of methods for performing simulations and analyzing the results. The software is a useful tool for system-wide data analysis in a metabolic context and for streamlined reconstruction of metabolic networks based on protein homology. The RAVEN Toolbox workflow was applied in order to reconstruct a genome-scale metabolic model for the important microbial cell factory Penicillium chrysogenum Wisconsin54-1255. The model was validated in a bibliomic study of in total 440 references, and it comprises 1471 unique biochemical reactions and 1006 ORFs. It was then used to study the roles of ATP and NADPH in the biosynthesis of penicillin, and to identify potential metabolic engineering targets for maximization of penicillin production. PMID:23555215

  4. The Power of Perspective in The Raven Cycle

    Directory of Open Access Journals (Sweden)

    Andrea Dumančić

    2017-07-01

    Full Text Available Beginning with the discussion of the terms narration and narrative, the paper asserts the difference between point of view, which is defined as “who” tells a story, and perspective, which shows “how” a narrator / a character perceives the events making up the story. To show the power of perspective in a literary work, the paper focuses on the young adult novel series The Raven Cycle by Maggie Stiefvater. The five main characters – Blue Sargent, Richard Gansey III, Adam Parrish, Ronan Lynch, and Noah Czerny – have been given unique perspectives that are unveiled through their separate character arcs. Blue’s perspective is clad with assumptions; Gansey’s is a clash between the perceived and the perceiving; Adam’s comes to light only when compared to other characters’ perspectives; Ronan’s is postponed and contrary to expectations; Noah’s is absent until the very end of the series.

  5. Evidências de validade das Matrizes Progressivas Avançadas de Raven em universitários Validity Evidence of Raven's Advanced Progressive Matrices in university students

    Directory of Open Access Journals (Sweden)

    Milena Oliveira Rosseti

    2009-08-01

    Full Text Available O objetivo do estudo foi encontrar evidências de validade das Matrizes Progressivas Avançadas de Raven em universitários. Participaram 369 universitários de duas universidades privadas do estado de São Paulo, sendo 104 (28,2% do sexo masculino e 265 (71,8% do feminino. Em relação aos cursos, 167 (45,3% são de Psicologia, 111 (30,1% de Administração de Empresas, 54 (14,6% de Gestão de Recursos Humanos e 37 (10% de Pedagogia. Os resultados demonstraram que houve diferença significativa com relação ao gênero, com um melhor desempenho do sexo masculino (t=4,21 e pThe aim of the study was to find validity evidence of Raven's Advanced Progressive Matrices in university students. The sample consisted of 369 university students from two private universities in the state of Sao Paulo, being a 104 (28,2% of the masculine and 265 (71,8% of the feminine. Regarding the courses, 167 (45,3% is of Psychology, 111 (30,1% is of Business Administration, 54 (14,6 % is of Management of Human Resources and 37 (10% is of Pedagogy. The results showed statistically significant difference of sex, with males having better performance in the instrument (t=4.21; p<0.01. The analysis of variance (ANOVA showed significant difference between averages of the courses (F=13,8; p<0,00, and the courses that are differentiated in accordance with the test ad-hoc of Tukey were Administration and Psychology that obtained scores bigger than the others courses. The results demonstrated what the used instrument showed precisely to value aspects of the general intelligence at university students.

  6. Comparison of Individual Performance in Intelligence Tests WAIS III and RPM (Raven's Progressive Matrices)

    OpenAIRE

    Petrů, Vít

    2017-01-01

    This thesis deals with replacement of performative scale of Wechsler Adult Intelligence Scale (3rd revision) through Raven's Standard Progressive Matrices and Advanced Progressive Matrices. In the theoretical part introduces the concepts of intelligence, approaches to its exploration and intelligence tests. The theoretical part is also devoted to the description of the used methods and presents an overview of the research on a similar theme as this work. In the empirical part of the thesis is...

  7. Self-knowledge and attribution of mental states in Theory of Mind

    Directory of Open Access Journals (Sweden)

    Skidelsky, Liza

    2011-05-01

    Full Text Available Many philosophers consider that self-knowledge reflects the particularity that we can know what we think, believe, desire, in a different way in which we know the mental states of other people. This is the claim of an asymmetry between first and third person. Several approaches han been offered in the epistemological literature in order to account for this asymmetry. Nonetheless, unlike the expected compatibility between adjacent fields, the literature related to the attribution and self-attribution of mental states or, in general, what is called Theory of Mind, does not seem either to preserve this asymmetry or the attempt to preserve it undermines the fundamental role of the different Theory of Mind proposals. This paper will show this in two parts. Firstly, it addresses how the asymmetry thesis han been defended in the epistemological literature. The aim of this section is to offer a geography of the different approaches. Secondly, two proposals in Theory of Mind, the theory theory and simulation theory, will be evaluated in order to show why they do not account for the asymmetry thesis, and some of the consequences that would be gather from the attempt to conciliate these Theory of Mind proposals with the epistemological approaches that defend the asymmetry thesis will be analized.

  8. Dress Nicer = Know More? Young Children's Knowledge Attribution and Selective Learning Based on How Others Dress.

    Directory of Open Access Journals (Sweden)

    Kyla P McDonald

    Full Text Available This research explored whether children judge the knowledge state of others and selectively learn novel information from them based on how they dress. The results indicated that 4- and 6-year-olds identified a formally dressed individual as more knowledgeable about new things in general than a casually dressed one (Study 1. Moreover, children displayed an overall preference to seek help from a formally dressed individual rather than a casually dressed one when learning about novel objects and animals (Study 2. These findings are discussed in relation to the halo effect, and may have important implications for child educators regarding how instructor dress might influence young students' knowledge attribution and learning preferences.

  9. Blue Tigers, Black Tapirs, & the Pied Raven of the Faroe Islands: Teaching Genetic Drift Using Real-Life Animal Examples

    Science.gov (United States)

    Robischon, Marcel

    2015-01-01

    Genetic drift is a concept of population genetics that is central to understanding evolutionary processes and aspects of conservation biology. It is frequently taught using rather abstract representations. I introduce three real-life zoological examples, based on historical and recent color morphs of tigers, tapirs, and ravens, that can complement…

  10. Propriedades psicométricas do Raven Geral no contexto de Minas Gerais

    Directory of Open Access Journals (Sweden)

    Carmen Flores-Mendoza

    2014-08-01

    Full Text Available The psychometric parameters of the Standard Progressive Matrices of Raven (SPM test for Minas Gerais state were investigated. 1956 people aged between 07 and 65 were the participants. The analysis of the items through the Item Response Theory, Model 2P, showed appropriate levels of difficulty and discrimination of all items except for item E12, which was extremely difficult. The test information function indicated that the SPM test was relatively easily to carry out by the sample of Minas Gerais. The Flynn effect, or cognitive gains of generation, may be the factor responsible. However, the prediction of school performance (criterion validity using the SPM test is still possible. Implications for professional use are discussed.

  11. A decorated raven bone from the Zaskalnaya VI (Kolosovskaya) Neanderthal site, Crimea

    Science.gov (United States)

    Evans, Sarah; Stepanchuk, Vadim; Tsvelykh, Alexander; d’Errico, Francesco

    2017-01-01

    We analyze a radius bone fragment of a raven (Corvus corax) from Zaskalnaya VI rock shelter, Crimea. The object bears seven notches and comes from an archaeological level attributed to a Micoquian industry dated to between 38 and 43 cal kyr BP. Our study aims to examine the degree of regularity and intentionality of this set of notches through their technological and morphometric analysis, complemented by comparative experimental work. Microscopic analysis of the notches indicate that they were produced by the to-and-fro movement of a lithic cutting edge and that two notches were added to fill in the gap left between previously cut notches, probably to increase the visual consistency of the pattern. Multivariate analysis of morphometric data recorded on the archaeological notches and sets of notches cut by nine modern experimenters on radii of domestic turkeys shows that the variations recorded on the Zaskalnaya set are comparable to experimental sets made with the aim of producing similar, parallel, equidistant notches. Identification of the Weber Fraction, the constant that accounts for error in human perception, for equidistant notches cut on bone rods and its application to the Zaskalnaya set of notches and thirty-six sets of notches incised on seventeen Upper Palaeolithic bone objects from seven sites indicate that the Zaskalnaya set falls within the range of variation of regularly spaced experimental and Upper Palaeolithic sets of notches. This suggests that even if the production of the notches may have had a utilitarian reason the notches were made with the goal of producing a visually consistent pattern. This object represents the first instance of a bird bone from a Neanderthal site bearing modifications that cannot be explained as the result of butchery activities and for which a symbolic argument can be built on direct rather than circumstantial evidence. PMID:28355292

  12. A decorated raven bone from the Zaskalnaya VI (Kolosovskaya) Neanderthal site, Crimea.

    Science.gov (United States)

    Majkić, Ana; Evans, Sarah; Stepanchuk, Vadim; Tsvelykh, Alexander; d'Errico, Francesco

    2017-01-01

    We analyze a radius bone fragment of a raven (Corvus corax) from Zaskalnaya VI rock shelter, Crimea. The object bears seven notches and comes from an archaeological level attributed to a Micoquian industry dated to between 38 and 43 cal kyr BP. Our study aims to examine the degree of regularity and intentionality of this set of notches through their technological and morphometric analysis, complemented by comparative experimental work. Microscopic analysis of the notches indicate that they were produced by the to-and-fro movement of a lithic cutting edge and that two notches were added to fill in the gap left between previously cut notches, probably to increase the visual consistency of the pattern. Multivariate analysis of morphometric data recorded on the archaeological notches and sets of notches cut by nine modern experimenters on radii of domestic turkeys shows that the variations recorded on the Zaskalnaya set are comparable to experimental sets made with the aim of producing similar, parallel, equidistant notches. Identification of the Weber Fraction, the constant that accounts for error in human perception, for equidistant notches cut on bone rods and its application to the Zaskalnaya set of notches and thirty-six sets of notches incised on seventeen Upper Palaeolithic bone objects from seven sites indicate that the Zaskalnaya set falls within the range of variation of regularly spaced experimental and Upper Palaeolithic sets of notches. This suggests that even if the production of the notches may have had a utilitarian reason the notches were made with the goal of producing a visually consistent pattern. This object represents the first instance of a bird bone from a Neanderthal site bearing modifications that cannot be explained as the result of butchery activities and for which a symbolic argument can be built on direct rather than circumstantial evidence.

  13. GPS tracking of non-breeding ravens reveals the importance of anthropogenic food sources during their dispersal in the Eastern Alps.

    Science.gov (United States)

    Loretto, Matthias-Claudio; Schuster, Richard; Bugnyar, Thomas

    2016-08-01

    In many songbirds, the space use of breeders is well studied but poorly understood for non-breeders. In common ravens, some studies of non-breeders indicate high vagrancy with large individual differences in home range size, whereas others show that up to 40% of marked non-breeders can be regularly observed at the same anthropogenic food source over months to years. The aim of this study was to provide new insights on ravens' behavior during dispersal in the Eastern Alps. We deployed Global Positioning System (GPS) loggers on 10 individuals to gather accurate spatial and temporal information on their movements to quantify: 1) the dimension of the birds' space use (home range size with seasonal effects and daily/long-term travel distances), 2) how long they stayed in a dispersal stage of wandering as opposed to settling temporarily, and 3) their destination of movements. We recorded movements of up to 40 km per hour, more than 160 km within 1 day and more than 11,000 km within 20 months, indicating high vagrancy. Switching frequently between temporarily settling and travelling large distances in short time intervals leads to extensive home ranges, which also explains and combines the different findings in the literature. The destinations are rich anthropogenic food sources, where the birds spent on average 75% of their time. We discuss how ravens may find these "feeding hot spots" and which factors may influence their decision to stay/leave a site. The strong dependence on anthropogenic resources found in this population may have implications for site management and conservation issues.

  14. Dress Nicer = Know More? Young Children’s Knowledge Attribution and Selective Learning Based on How Others Dress

    Science.gov (United States)

    McDonald, Kyla P.; Ma, Lili

    2015-01-01

    This research explored whether children judge the knowledge state of others and selectively learn novel information from them based on how they dress. The results indicated that 4- and 6-year-olds identified a formally dressed individual as more knowledgeable about new things in general than a casually dressed one (Study 1). Moreover, children displayed an overall preference to seek help from a formally dressed individual rather than a casually dressed one when learning about novel objects and animals (Study 2). These findings are discussed in relation to the halo effect, and may have important implications for child educators regarding how instructor dress might influence young students’ knowledge attribution and learning preferences. PMID:26636980

  15. Knowledge and luck.

    Science.gov (United States)

    Turri, John; Buckwalter, Wesley; Blouw, Peter

    2015-04-01

    Nearly all success is due to some mix of ability and luck. But some successes we attribute to the agent's ability, whereas others we attribute to luck. To better understand the criteria distinguishing credit from luck, we conducted a series of four studies on knowledge attributions. Knowledge is an achievement that involves reaching the truth. But many factors affecting the truth are beyond our control, and reaching the truth is often partly due to luck. Which sorts of luck are compatible with knowledge? We found that knowledge attributions are highly sensitive to lucky events that change the explanation for why a belief is true. By contrast, knowledge attributions are surprisingly insensitive to lucky events that threaten, but ultimately fail to change the explanation for why a belief is true. These results shed light on our concept of knowledge, help explain apparent inconsistencies in prior work on knowledge attributions, and constitute progress toward a general understanding of the relation between success and luck.

  16. Improving Limit Surface Search Algorithms in RAVEN Using Acceleration Schemes: Level II Milestone

    Energy Technology Data Exchange (ETDEWEB)

    Alfonsi, Andrea [Idaho National Laboratory (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Laboratory (INL), Idaho Falls, ID (United States); Mandelli, Diego [Idaho National Laboratory (INL), Idaho Falls, ID (United States); Cogliati, Joshua Joseph [Idaho National Laboratory (INL), Idaho Falls, ID (United States); Sen, Ramazan Sonat [Idaho National Laboratory (INL), Idaho Falls, ID (United States); Smith, Curtis Lee [Idaho National Laboratory (INL), Idaho Falls, ID (United States)

    2015-07-01

    The RAVEN code is becoming a comprehensive tool to perform Probabilistic Risk Assessment (PRA); Uncertainty Quantification (UQ) and Propagation; and Verification and Validation (V&V). The RAVEN code is being developed to support the Risk-Informed Safety Margin Characterization (RISMC) pathway by developing an advanced set of methodologies and algorithms for use in advanced risk analysis. The RISMC approach uses system simulator codes applied to stochastic analysis tools. The fundamental idea behind this coupling approach to perturb (by employing sampling strategies) timing and sequencing of events, internal parameters of the system codes (i.e., uncertain parameters of the physics model) and initial conditions to estimate values ranges and associated probabilities of figures of merit of interest for engineering and safety (e.g. core damage probability, etc.). This approach applied to complex systems such as nuclear power plants requires performing a series of computationally expensive simulation runs. The large computational burden is caused by the large set of (uncertain) parameters characterizing those systems. Consequently, exploring the uncertain/parametric domain, with a good level of confidence, is generally not affordable, considering the limited computational resources that are currently available. In addition, the recent tendency to develop newer tools, characterized by higher accuracy and larger computational resources (if compared with the presently used legacy codes, that have been developed decades ago), has made this issue even more compelling. In order to overcome to these limitations, the strategy for the exploration of the uncertain/parametric space needs to use at best the computational resources focusing the computational effort in those regions of the uncertain/parametric space that are “interesting” (e.g., risk-significant regions of the input space) with respect the targeted Figures Of Merit (FOM): for example, the failure of the system

  17. The Quest for Item Types Based on Information Processing: An Analysis of Raven's Advanced Progressive Matrices, with a Consideration of Gender Differences

    Science.gov (United States)

    Vigneau, Francois; Bors, Douglas A.

    2008-01-01

    Various taxonomies of Raven's Advanced Progressive Matrices (APM) items have been proposed in the literature to account for performance on the test. In the present article, three such taxonomies based on information processing, namely Carpenter, Just and Shell's [Carpenter, P.A., Just, M.A., & Shell, P., (1990). What one intelligence test…

  18. Key attributes of expert NRL referees.

    Science.gov (United States)

    Morris, Gavin; O'Connor, Donna

    2017-05-01

    Experiential knowledge of elite National Rugby League (NRL) referees was investigated to determine the key attributes contributing to expert officiating performance. Fourteen current first-grade NRL referees were asked to identify the key attributes they believed contributed to their expert refereeing performance. The modified Delphi method involved a 3-round process of an initial semi-structured interview followed by 2 questionnaires to reach consensus of opinion. The data revealed 25 attributes that were rated as most important that underpin expert NRL refereeing performance. Results illustrate the significance of the cognitive category, with the top 6 ranked attributes all cognitive skills. Of these, the referees ranked decision-making accuracy as the most important attribute, followed by reading the game, communication, game understanding, game management and knowledge of the rules. Player rapport, positioning and teamwork were the top ranked game skill attributes underpinning performance excellence. Expert referees also highlighted a number of psychological attributes (e.g., concentration, composure and mental toughness) that were significant to performance. There were only 2 physiological attributes (fitness, aerobic endurance) that were identified as significant to elite officiating performance. In summary, expert consensus was attained which successfully provided a hierarchy of the most significant attributes of expert NRL refereeing performance.

  19. Knowledge and causal attributions for mental disorders in HIV-positive children and adolescents: results from rural and urban Uganda.

    Science.gov (United States)

    Nalukenge, W; Martin, F; Seeley, J; Kinyanda, E

    2018-05-02

    Increasing availability of antiretroviral treatment (ART) has led HIV to be considered a chronic disease, shifting attention to focus on quality of life including mental wellbeing. We investigated knowledge and causal attributions for mental disorders in HIV-positive children and adolescents in rural and urban Uganda. This qualitative study was nested in an epidemiological mental health study among HIV-positive children and adolescents aged 5-17 years in rural and urban Uganda. In-depth interviews were conducted with caregivers of HIV-positive children (5-11 years) and adolescents (12-17 years) in HIV care. Interviews were audio recorded with permission from participants and written consent and assent sought before study procedures. Thirty eight participants (19 caregivers, 19 children/adolescents) were interviewed. Age range of caregivers was 28-69 years; majority were female (17). Caregivers had little knowledge on mental disorders ;only 3 related the vignette to a mental problem  and attributed it to: improper upbringing, violence, poverty and bereavement. Five adolescents identified vignettes as portraying mental disorders caused by: ill-health of parents, bereavement, child abuse, discrimination, HIV and poverty. Caregivers are not knowledgeable about behavioural and emotional challenges in HIV-positive children/adolescents. Mental health literacy programmes at HIV care clinics are essential to enhance treatment-seeking for mental health.

  20. Ravens reconcile after aggressive conflicts with valuable partners.

    Science.gov (United States)

    Fraser, Orlaith N; Bugnyar, Thomas

    2011-03-25

    Reconciliation, a post-conflict affiliative interaction between former opponents, is an important mechanism for reducing the costs of aggressive conflict in primates and some other mammals as it may repair the opponents' relationship and reduce post-conflict distress. Opponents who share a valuable relationship are expected to be more likely to reconcile as for such partners the benefits of relationship repair should outweigh the risk of renewed aggression. In birds, however, post-conflict behavior has thus far been marked by an apparent absence of reconciliation, suggested to result either from differing avian and mammalian strategies or because birds may not share valuable relationships with partners with whom they engage in aggressive conflict. Here, we demonstrate the occurrence of reconciliation in a group of captive subadult ravens (Corvus corax) and show that it is more likely to occur after conflicts between partners who share a valuable relationship. Furthermore, former opponents were less likely to engage in renewed aggression following reconciliation, suggesting that reconciliation repairs damage caused to their relationship by the preceding conflict. Our findings suggest not only that primate-like valuable relationships exist outside the pair bond in birds, but that such partners may employ the same mechanisms in birds as in primates to ensure that the benefits afforded by their relationships are maintained even when conflicts of interest escalate into aggression. These results provide further support for a convergent evolution of social strategies in avian and mammalian species.

  1. Visual/Verbal-Analytic Reasoning Bias as a Function of Self-Reported Autistic-Like Traits: A Study of Typically Developing Individuals Solving Raven's Advanced Progressive Matrices

    Science.gov (United States)

    Fugard, Andrew J. B.; Stewart, Mary E.; Stenning, Keith

    2011-01-01

    People with autism spectrum condition (ASC) perform well on Raven's matrices, a test which loads highly on the general factor in intelligence. However, the mechanisms supporting enhanced performance on the test are poorly understood. Evidence is accumulating that milder variants of the ASC phenotype are present in typically developing individuals,…

  2. So Young and Already Victims of Stereotype Threat: Socio-Economic Status and Performance of 6 to 9 Years Old Children on Raven's Progressive Matrices

    Science.gov (United States)

    Desert, Michel; Preaux, Marie; Jund, Robin

    2009-01-01

    The aim of this study was to verify whether children from low socio-economic status (SES) are victims of stereotype threat. Children in first grade (6 to 7 years old) and third grade (8 to 9 years old) performed Raven's progressive matrices, an intellectual ability test commonly used by psychologists. The test was presented either with the…

  3. Fast Kalman Filtering for Relative Spacecraft Position and Attitude Estimation for the Raven ISS Hosted Payload

    Science.gov (United States)

    Galante, Joseph M.; Van Eepoel, John; D'Souza, Chris; Patrick, Bryan

    2016-01-01

    The Raven ISS Hosted Payload will feature several pose measurement sensors on a pan/tilt gimbal which will be used to autonomously track resupply vehicles as they approach and depart the International Space Station. This paper discusses the derivation of a Relative Navigation Filter (RNF) to fuse measurements from the different pose measurement sensors to produce relative position and attitude estimates. The RNF relies on relative translation and orientation kinematics and careful pose sensor modeling to eliminate dependence on orbital position information and associated orbital dynamics models. The filter state is augmented with sensor biases to provide a mechanism for the filter to estimate and mitigate the offset between the measurements from different pose sensors

  4. Vision, knowledge, and assertion.

    Science.gov (United States)

    Turri, John

    2016-04-01

    I report two experiments studying the relationship among explicit judgments about what people see, know, and should assert. When an object of interest was surrounded by visibly similar items, it diminished people's willingness to judge that an agent sees, knows, and should tell others that it is present. This supports the claim, made by many philosophers, that inhabiting a misleading environment intuitively decreases our willingness to attribute perception and knowledge. However, contrary to stronger claims made by some philosophers, inhabiting a misleading environment does not lead to the opposite pattern whereby people deny perception and knowledge. Causal modeling suggests a specific psychological model of how explicit judgments about perception, knowledge, and assertability are made: knowledge attributions cause perception attributions, which in turn cause assertability attributions. These findings advance understanding of how these three important judgments are made, provide new evidence that knowledge is the norm of assertion, and highlight some important subtleties in folk epistemology. Copyright © 2016 Elsevier Inc. All rights reserved.

  5. Privacy Protection Method for Multiple Sensitive Attributes Based on Strong Rule

    Directory of Open Access Journals (Sweden)

    Tong Yi

    2015-01-01

    Full Text Available At present, most studies on data publishing only considered single sensitive attribute, and the works on multiple sensitive attributes are still few. And almost all the existing studies on multiple sensitive attributes had not taken the inherent relationship between sensitive attributes into account, so that adversary can use the background knowledge about this relationship to attack the privacy of users. This paper presents an attack model with the association rules between the sensitive attributes and, accordingly, presents a data publication for multiple sensitive attributes. Through proof and analysis, the new model can prevent adversary from using the background knowledge about association rules to attack privacy, and it is able to get high-quality released information. At last, this paper verifies the above conclusion with experiments.

  6. Understanding the Impact of Guiding Inquiry: The Relationship between Directive Support, Student Attributes, and Transfer of Knowledge, Attitudes, and Behaviours in Inquiry Learning

    Science.gov (United States)

    Roll, Ido; Butler, Deborah; Yee, Nikki; Welsh, Ashley; Perez, Sarah; Briseno, Adriana; Perkins, Katherine; Bonn, Doug

    2018-01-01

    Guiding inquiry learning has been shown to increase knowledge gains. Yet, little is known about the effect of guidance on attitudes and behaviours, its interaction with student attributes, and transfer of impact once guidance is removed. We address these gaps in the context of an interactive Physics simulation on electric circuits…

  7. CLUSTER GLIMPSES WITH RAVEN: AO-CORRECTED NEAR AND MID-INFRARED IMAGES OF GLIMPSE C01 AND GLIMPSE C02

    Energy Technology Data Exchange (ETDEWEB)

    Davidge, T. J.; Andersen, D. R. [Dominion Astrophysical Observatory, National Research Council of Canada, 5071 West Saanich Road, Victoria, BC V9E 2E7 (Canada); Lardière, O., E-mail: tim.davidge@nrc.ca, E-mail: david.andersen@nrc.ca, E-mail: lardiere@uvic.ca [Department of Mechanical Engineering, University of Victoria, Victoria, BC V8W 3P2 (Canada); and others

    2016-12-01

    We discuss images of the star clusters GLIMPSE C01 (GC01) and GLIMPSE C02 (GC02) that were recorded with the Subaru IRCS. Distortions in the wavefront were corrected with the RAVEN adaptive optics (AO) science demonstrator, allowing individual stars in the central regions of both clusters—where the fractional contamination from non-cluster objects is lowest—to be imaged. In addition to J , H , and K ′ images, both clusters were observed through a narrow-band filter centered near 3.05 μ m; GC01 was also observed through two other narrow-band filters that sample longer wavelengths. Stars in the narrow-band images have an FWHM that is close to the telescope diffraction limit, demonstrating that open-loop AO systems like RAVEN can deliver exceptional image quality. The near-infrared color–magnitude diagram of GC01 is smeared by non-uniform extinction with a 1 σ dispersion Δ A{sub K}  = ±0.13 mag. Spatial variations in A{sub K} are not related in a systematic way to location in the field. The Red Clump is identified in the K luminosity function (LF) of GC01, and a distance modulus of 13.6 is found. The K LF of GC01 is consistent with a system that is dominated by stars with an age >1 Gyr. As for GC02, the K LF is flat for K  > 16, and the absence of a sub-giant branch argues against an old age if the cluster is at a distance of ∼7 kpc. Archival SPITZER [3.6] and [4.5] images of the clusters are also examined, and the red giant branch-tip is identified. It is demonstrated in the Appendix that the [3.6] surface brightness profiles of both clusters can be traced out to radii of at least 100 arcsec.

  8. Architectural patterns and quality attributes interaction

    NARCIS (Netherlands)

    Me, G.; Calero Munoz, C.; Lago, P.; Muccini, H.

    2016-01-01

    Architectural patterns and styles represent common solutions to recurrent problems. They encompass architectural knowledge about how to achieve holistic system quality. The relation between patterns (or styles) and quality attributes has been regularly addressed in the literature. However, there is

  9. Tacit knowledge emergence

    International Nuclear Information System (INIS)

    Garland, B.

    2008-01-01

    This paper outlines tacit knowledge emergence. Tacit knowledge is 'knowledge that we have without knowing we have it and that once we know we have it, it becomes harder to know how we know what we know'. We learn by doing. Knowledge is not a thing; it is a process. It cites examples of tacit knowledge transfer failures. Failure in organization could be attributed to lack of explicit scientific and engineering knowledge, lack of research or improperly implemented knowledge

  10. What are the attributes of a good health educator?

    Science.gov (United States)

    Ilic, Dragan; Harding, Jessica; Allan, Christie; Diug, Basia

    2016-06-28

    The purpose of this study was to examine the attributes that students and educators believe are important to being a good health educator in a non-clinical setting. A cross-sectional survey of first-year health science students and educators involved with a Health Science course in Melbourne, Australia was performed. A convenience sampling approach was implemented, with participants were required to rate the importance of teaching attributes on a previously developed 15-item written questionnaire. Descriptive statistics were generated, with Pearson's chi-square statistics used to examine differences between groups. In total 94/147 (63.9%) of students and 15/15 (100%) of educators participated in the study. Of the 15 attributes, only 'scholarly activity' was not deemed to be not as an important attribute to define a good educator. Knowledge base (50% vs. 13.3%) and feedback skills (22.3% vs. 0%) were rated as important attributes by students in comparison to educators. Professionalism (20% vs. 5.3%), scholarly activity (20% vs. 3.2%) and role modelling (26.7% vs. 3.2%) were rated as the most important attributes by educators in comparison to students. No single attribute makes a good health educator; rather health educators are required to have a rounded approach to teaching. Students have greater focus on the educator providing a transfer of knowledge. Educators are additionally focused on professionalism attributes, which may not be valued by students. Students and educators must enter into a clearer understanding of expectations, from both parties, to obtain optimal education outcomes.

  11. Attributes of Students Graduating from Schools and Colleges of Optometry.

    Science.gov (United States)

    Optometric Education, 2000

    2000-01-01

    This report by the Association of Schools and Colleges of Optometry identifies desired attributes of students graduating from schools and colleges of optometry. Introductory information includes information on the report's development and assumptions. Personal and professional attributes are then listed followed by a list of 10 knowledge-area…

  12. Graduate Attribute Attainment in a Multi-Level Undergraduate Geography Course

    Science.gov (United States)

    Mager, Sarah; Spronken-Smith, Rachel

    2014-01-01

    We investigated students' perceptions of graduate attributes in a multi-level (second and third year) geography course. A case study with mixed methodology was employed, with data collected through focus groups and a survey. We found that undergraduate geography students can identify the skills, knowledge and attributes that are developed through…

  13. Morphosemantic Attributes of Meetei Proverbs

    Directory of Open Access Journals (Sweden)

    Lourembam Surjit Singh

    2015-06-01

    Full Text Available This study proposes to investigate the functions of morphosemantic in Meetei proverbs, particularly the attribution of different meanings of the lexical items in Meetei Proverbial verbs. Meetei society has been using proverbs in the all ages, stages of development, social changes, and cultural diversifications to mark their wisdom of social expertise. Meetei used proverbs as an important aspect of verbal discourses within the socio-cultural and ethno-civilization contexts in which skills, knowledge, ideas, emotion, and experiences are communicating. The language used in proverbs reflects the Meetei’s status of life, food habits, belief systems, philosophy, cultural and social orientations. At the same time, various meanings attribute in Meetei proverbs in the forms of figurative, witty, pithy, didactic etc. The construction of these forms are grammatically insightful thereby creating spaces for a whole range of possibilities for investigating the features, functions and structure of verbal inflectional markers occurred in Meetei proverbial sentences. Keywords: Proverbs, morphosemantics, features of lexical items, attributes of meanings and language

  14. Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory

    Directory of Open Access Journals (Sweden)

    Ruihong Wang

    2017-01-01

    Full Text Available The present study is mainly a continuation of our previous study, which is about a crop evaluation system development that is based on grey relational analysis. In that system, the attribute weight determination affects the evaluation result directly. Attribute weight is usually ascertained by decision-makers experience knowledge. In this paper, we utilize rough sets theory to calculate attribute significance and then combine it with weight given by decision-maker. This method is a comprehensive consideration of subjective experience knowledge and objective situation; thus it can acquire much more ideal results. Finally, based on this method, we improve the system based on ASP.NET technology.

  15. Behavioral responses to inequity in reward distribution and working effort in crows and ravens.

    Directory of Open Access Journals (Sweden)

    Claudia A F Wascher

    Full Text Available Sensitivity to inequity is considered to be a crucial cognitive tool in the evolution of human cooperation. The ability has recently been shown also in primates and dogs, raising the question of an evolutionary basis of inequity aversion. We present first evidence that two bird species are sensitive to other individuals' efforts and payoffs. In a token exchange task we tested both behavioral responses to inequity in the quality of reward (preferred versus non-preferred food and to the absence of reward in the presence of a rewarded partner, in 5 pairs of corvids (6 crows, 4 ravens. Birds decreased their exchange performance when the experimental partner received the reward as a gift, which indicates that they are sensitive to other individuals' working effort. They also decreased their exchange performance in the inequity compared with the equity condition. Notably, corvids refused to take the reward after a successful exchange more often in the inequity compared with the other conditions. Our findings indicate that awareness to other individuals' efforts and payoffs may evolve independently of phylogeny in systems with a given degree of social complexity.

  16. Assessment Attributes on Effective Construction Management for Property Developers in Malaysia

    Directory of Open Access Journals (Sweden)

    Ayob Norizam

    2014-06-01

    attributes. Comparison was made with attributes from Project Management Book of Knowledge in order to explore the underlying suitability of the proposed attributes with the study area in terms of climate, economy, etc. Factor Analysis was adopted to investigate the group component relationships. This study focuses on the link between CSFs and the implementation of an effective construction management specifically for property developers in Malaysia.

  17. Understanding the Reading Attributes and Their Cognitive Relationships on a High-Stakes Biology Assessment

    Science.gov (United States)

    Rawlusyk, Kevin James

    Test items used to assess learners' knowledge on high-stakes science examinations contain contextualized questions that unintentionally assess reading skill along with conceptual knowledge. Therefore, students who are not proficient readers are unable to comprehend the text within the test item to demonstrate effectively their level of science knowledge. The purpose of this quantitative study was to understand what reading attributes were required to successfully answer the Biology 30 Diploma Exam. Furthermore, the research sought to understand the cognitive relationships among the reading attributes through quantitative analysis structured by the Attribute Hierarchy Model (AHM). The research consisted of two phases: (1) Cognitive development, where the cognitive attributes of the Biology 30 Exam were specified and hierarchy structures were developed; and (2) Psychometric analysis, that statistically tested the attribute hierarchy using the Hierarchy Consistency Index (HCI), and calculate attribute probabilities. Phase one of the research used January 2011, Biology 30 Diploma Exam, while phase two accessed archival data for the 9985 examinees who took the assessment on January 24th, 2011. Phase one identified ten specific reading attributes, of which five were identified as unique subsets of vocabulary, two were identified as reading visual representations, and three corresponded to general reading skills. Four hierarchical cognitive model were proposed then analyzed using the HCI as a mechanism to explain the relationship among the attributes. Model A had the highest HCI value (0.337), indicating an overall poor data fit, yet for the top achieving examinees the model had an excellent model fit with an HCI value of 0.888, and for examinees that scored over 60% there was a moderate model fit (HCI = 0.592). Linear regressions of the attribute probability estimates suggest that there is a cognitive relationship among six of the ten reading attributes (R2 = 0.958 and 0

  18. Identifying attributes of food literacy: a scoping review.

    Science.gov (United States)

    Azevedo Perry, Elsie; Thomas, Heather; Samra, H Ruby; Edmonstone, Shannon; Davidson, Lyndsay; Faulkner, Amy; Petermann, Lisa; Manafò, Elizabeth; Kirkpatrick, Sharon I

    2017-09-01

    An absence of food literacy measurement tools makes it challenging for nutrition practitioners to assess the impact of food literacy on healthy diets and to evaluate the outcomes of food literacy interventions. The objective of the present scoping review was to identify the attributes of food literacy. A scoping review of peer-reviewed and grey literature was conducted and attributes of food literacy identified. Subjects included in the search were high-risk groups. Eligible articles were limited to research from Canada, USA, the UK, Australia and New Zealand. The search identified nineteen peer-reviewed and thirty grey literature sources. Fifteen identified food literacy attributes were organized into five categories. Food and Nutrition Knowledge informs decisions about intake and distinguishing between 'healthy' and 'unhealthy' foods. Food Skills focuses on techniques of food purchasing, preparation, handling and storage. Self-Efficacy and Confidence represent one's capacity to perform successfully in specific situations. Ecologic refers to beyond self and the interaction of macro- and microsystems with food decisions and behaviours. Food Decisions reflects the application of knowledge, information and skills to make food choices. These interdependent attributes are depicted in a proposed conceptual model. The lack of evaluated tools inhibits the ability to assess and monitor food literacy; tailor, target and evaluate programmes; identify gaps in programming; engage in advocacy; and allocate resources. The present scoping review provides the foundation for the development of a food literacy measurement tool to address these gaps.

  19. Demographic attributes and knowledge acquisition among graduate-entry medical students.

    Science.gov (United States)

    Finucane, Paul; Flannery, Denise; McGrath, Deirdre; Saunders, Jean

    2013-01-01

    Recent changes to undergraduate (basic) medical education in Ireland have linked an expansion of student numbers with wide-ranging reforms. Medical schools have broadened access by admitting more mature students from diverse backgrounds and have increased their international student numbers. This has resulted in major changes to the demographic profile of students at Irish medical schools. To determine whether the demographic characteristics of students impact on their academic performance and specifically on their rate of knowledge acquisition. As a formative assessment exercise, we administered a progress test to all students twice each year during a 4 year graduate-entry medical programme. We compared scores over time between students from different age cohorts, of different gender, of different nationalities and from different academic backgrounds. In the 1143 tests taken by 285 students to date, there were no significant differences in the rate of knowledge acquisition between the various groups. Early in the course, students from a non-biological science background performed less well than others but outperformed their peers by the time of graduation. Neither age, gender, nationality nor academic background impacts on the rate of knowledge acquisition among graduate-entry medical students.

  20. Knowledge about food classification systems and value attributes provides insight for understanding complementary food choices in Mexican working mothers.

    Science.gov (United States)

    Rodriguez-Oliveros, Maria Guadalupe; Bisogni, Carole A; Frongillo, Edward A

    2014-12-01

    Knowledge about mothers' perceptions of food classification and values about complementary feeding is necessary for designing educational and food supply interventions targeted to young children. To determine classification, attributes, and consumption/preparation routines of key complementary foods, 44 mothers of children right for toddlers. Chicken liver was considered nutritious but dirty and bitter. Egg and fish were viewed as a vitamin source but potentially allergenic. Mothers valued vitamin content, flavor, and convenience of processed foods, but some were suspicious about expiration date, chemical and excessive sugar content and overall safety of these foods. Mothers' perceptions and values may differ from those of nutritionists and program designers, and should be addressed when promoting opportune introduction of complementary foods in social programs. Copyright © 2014 Elsevier Ltd. All rights reserved.

  1. Verification of classified fissile material using unclassified attributes

    International Nuclear Information System (INIS)

    Nicholas, N.J.; Fearey, B.L.; Puckett, J.M.; Tape, J.W.

    1998-01-01

    This paper reports on the most recent efforts of US technical experts to explore verification by IAEA of unclassified attributes of classified excess fissile material. Two propositions are discussed: (1) that multiple unclassified attributes could be declared by the host nation and then verified (and reverified) by the IAEA in order to provide confidence in that declaration of a classified (or unclassified) inventory while protecting classified or sensitive information; and (2) that attributes could be measured, remeasured, or monitored to provide continuity of knowledge in a nonintrusive and unclassified manner. They believe attributes should relate to characteristics of excess weapons materials and should be verifiable and authenticatable with methods usable by IAEA inspectors. Further, attributes (along with the methods to measure them) must not reveal any classified information. The approach that the authors have taken is as follows: (1) assume certain attributes of classified excess material, (2) identify passive signatures, (3) determine range of applicable measurement physics, (4) develop a set of criteria to assess and select measurement technologies, (5) select existing instrumentation for proof-of-principle measurements and demonstration, and (6) develop and design information barriers to protect classified information. While the attribute verification concepts and measurements discussed in this paper appear promising, neither the attribute verification approach nor the measurement technologies have been fully developed, tested, and evaluated

  2. Gestalt and Figure-Ground: Reframing Graduate Attribute Conversations between Educational Developers and Academics

    Science.gov (United States)

    Knewstubb, Bernadette; Ruth, Alison

    2015-01-01

    Academics implementing graduate attributes, and the educational developers who support those academics, may experience graduate attributes and disciplinary knowledge and skills as unrelated dimensions of curriculum. Gestalt conceptions of curriculum, together with a figure-ground understanding of the relationship between disciplinary understanding…

  3. Discourse Model Representation of Referential and Attributive Descriptions.

    Science.gov (United States)

    Onishi, Kristine H.; Murphy, Gregory L.

    2002-01-01

    Manipulated shared knowledge and focus on specific entities, the verb in the sentence, and whether the description was definite or indefinite. Each factor influenced interpretation of the description. Confirmed that changing verbs alone affected reference choice. Indicated that both referentially and attributively introduced entities are…

  4. The Human Capital of Knowledge Brokers: An analysis of attributes, capacities and skills of academic teaching and research faculty at Kenyan schools of public health.

    Science.gov (United States)

    Jessani, Nasreen; Kennedy, Caitlin; Bennett, Sara

    2016-08-02

    Academic faculty involved in public health teaching and research serve as the link and catalyst for knowledge synthesis and exchange, enabling the flow of information resources, and nurturing relations between 'two distinct communities' - researchers and policymakers - who would not otherwise have the opportunity to interact. Their role and their characteristics are of particular interest, therefore, in the health research, policy and practice arena, particularly in low- and middle-income countries. We investigated the individual attributes, capacities and skills of academic faculty identified as knowledge brokers (KBs) in schools of public health (SPH) in Kenya with a view to informing organisational policies around the recruitment, retention and development of faculty KBs. During April 2013, we interviewed 12 academics and faculty leadership (including those who had previously been identified as KBs) from six SPHs in Kenya, and 11 national health policymakers with whom they interact. Data were qualitatively analyzed using inductive thematic analysis to unveil key characteristics. Key characteristics of KBs fell into five categories: sociodemographics, professional competence, experiential knowledge, interactive skills and personal disposition. KBs' reputations benefitted from their professional qualifications and content expertise. Practical knowledge in policy-relevant situations, and the related professional networks, allowed KB's to navigate both the academic and policy arenas and also to leverage the necessary connections required for policy influence. Attributes, such as respect and a social conscience, were also important KB characteristics. Several changes in Kenya are likely to compel academics to engage increasingly with policymakers at an enhanced level of debate, deliberation and discussion in the future. By recognising existing KBs, supporting the emergence of potential KBs, and systematically hiring faculty with KB-specific characteristics, SPHs can

  5. Direct estimation of patient attributes from anatomical MRI based on multi-atlas voting

    Directory of Open Access Journals (Sweden)

    Dan Wu

    2016-01-01

    Full Text Available MRI brain atlases are widely used for automated image segmentation, and in particular, recent developments in multi-atlas techniques have shown highly accurate segmentation results. In this study, we extended the role of the atlas library from mere anatomical reference to a comprehensive knowledge database with various patient attributes, such as demographic, functional, and diagnostic information. In addition to using the selected (heavily-weighted atlases to achieve high segmentation accuracy, we tested whether the non-anatomical attributes of the selected atlases could be used to estimate patient attributes. This can be considered a context-based image retrieval (CBIR approach, embedded in the multi-atlas framework. We first developed an image similarity measurement to weigh the atlases on a structure-by-structure basis, and then, the attributes of the multiple atlases were weighted to estimate the patient attributes. We tested this concept first by estimating age in a normal population; we then performed functional and diagnostic estimations in Alzheimer's disease patients. The accuracy of the estimated patient attributes was measured against the actual clinical data, and the performance was compared to conventional volumetric analysis. The proposed CBIR framework by multi-atlas voting would be the first step toward a knowledge-based support system for quantitative radiological image reading and diagnosis.

  6. Direct estimation of patient attributes from anatomical MRI based on multi-atlas voting.

    Science.gov (United States)

    Wu, Dan; Ceritoglu, Can; Miller, Michael I; Mori, Susumu

    MRI brain atlases are widely used for automated image segmentation, and in particular, recent developments in multi-atlas techniques have shown highly accurate segmentation results. In this study, we extended the role of the atlas library from mere anatomical reference to a comprehensive knowledge database with various patient attributes, such as demographic, functional, and diagnostic information. In addition to using the selected (heavily-weighted) atlases to achieve high segmentation accuracy, we tested whether the non-anatomical attributes of the selected atlases could be used to estimate patient attributes. This can be considered a context-based image retrieval (CBIR) approach, embedded in the multi-atlas framework. We first developed an image similarity measurement to weigh the atlases on a structure-by-structure basis, and then, the attributes of the multiple atlases were weighted to estimate the patient attributes. We tested this concept first by estimating age in a normal population; we then performed functional and diagnostic estimations in Alzheimer's disease patients. The accuracy of the estimated patient attributes was measured against the actual clinical data, and the performance was compared to conventional volumetric analysis. The proposed CBIR framework by multi-atlas voting would be the first step toward a knowledge-based support system for quantitative radiological image reading and diagnosis.

  7. Perceptual attributes of crosstalk in 3D images

    NARCIS (Netherlands)

    Seuntiëns, P.J.H.; Meesters, L.M.J.; IJsselsteijn, W.A.

    2005-01-01

    Nowadays, crosstalk is probably one of the most annoying distortions in 3D displays. So far, display designers still have a relative lack of knowledge about the relevant subjective attributes of crosstalk and how they are combined in an overall 3D viewing experience model. The aim of the current

  8. Engineering grand challenges and the attributes of the global engineer

    DEFF Research Database (Denmark)

    Guerra, Aida; Ulseth, Ron; Jonhson, Bart

    2017-01-01

    Technology has been changing world in ways never imagined. The ever-evolving society and rapid development posed different demands and challenges to the engineering profession. Addressing these challenges means to re-vision and reform the ways we educate future engineers and the attributes need...... to be enhanced. This paper reports a literature review with aim to (1) understand the different stakeholders’ perspectives, namely students, educators, and employers, (2) understand the profile of the global engineer (i.e. knowledge, competences and skills), and (3) outline and discuss learning strategies....... As a result, the paper presents the main gaps in the existing knowledge, formulates research hypothesis, and proposes a research design for a follow up empirical study to investigate further the engineering grand challenges, the attributes needed to solve them, and the learning environments required....

  9. Light Water Reactor Sustainability Program Support and Modeling for the Boiling Water Reactor Station Black Out Case Study Using RELAP and RAVEN

    Energy Technology Data Exchange (ETDEWEB)

    Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States); Smith, Curtis [Idaho National Lab. (INL), Idaho Falls, ID (United States); Riley, Thomas [Idaho National Lab. (INL), Idaho Falls, ID (United States); Schroeder, John [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States); Alfonsi, Aldrea [Idaho National Lab. (INL), Idaho Falls, ID (United States); Nielsen, Joe [Idaho National Lab. (INL), Idaho Falls, ID (United States); Maljovec, Dan [Idaho National Lab. (INL), Idaho Falls, ID (United States); Wang, Bie [Idaho National Lab. (INL), Idaho Falls, ID (United States); Pascucci, Valerio [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2013-09-01

    The existing fleet of nuclear power plants is in the process of extending its lifetime and increasing the power generated. In order to evaluate the impact of these two factors on the safety of the plant, the Risk Informed Safety Margin Characterization (RISMC) project aims to provide insight to decision makers through a series of simulations of the plant dynamics for different initial conditions (e.g., probabilistic analysis and uncertainty quantification). This report focuses, in particular, on the impact of power uprate on the safety of a boiled water reactor system. The case study considered is a loss of off-site power followed by the loss of diesel generators, i.e., a station black out (SBO) event. Analysis is performed by using a thermo-hydraulic code, i.e. RELAP-5, and a stochastic analysis tool currently under development at INL, i.e. RAVEN. Starting from the event tree models contained in SAPHIRE, we built the input file for RELAP-5 that models in great detail system dynamics under SBO conditions. We also interfaced RAVEN with RELAP-5 so that it would be possible to run multiple RELAP-5 simulation runs by changing specific keywords of the input file. We both employed classical statistical tools, i.e. Monte-Carlo, and more advanced machine learning based algorithms to perform uncertainty quantification in order to quantify changes in system performance and limitations as a consequence of power uprate. We also employed advanced data analysis and visualization tools that helped us to correlate simulation outcome such as maximum core temperature with a set of input uncertain parameters. Results obtained gave a detailed overview of the issues associated to power uprate for a SBO accident scenario. We were able to quantify how timing of safety related events were impacted by a higher reactor core power. Such insights can provide useful material to the decision makers to perform risk-infomed safety margins management.

  10. Threshold Effects of Creative Problem-Solving Attributes on Creativity in the Math Abilities of Taiwanese Upper Elementary Students

    Directory of Open Access Journals (Sweden)

    Chia-Yi Lin

    2017-01-01

    Full Text Available This study aimed to help determine what the typology of math creative problem-solving is. Different from studies that have discussed the threshold effect between creativity and intelligence, this research investigated the threshold effect between creativity and other attributes. The typology of the math creative problem-solving abilities of 409 fifth- and sixth-grade Taiwanese students was identified and compared in this study. A Creative Problem-Solving Attribute Instrument was devised for this study, with the aim of measuring students’ perceptions on their motivation, knowledge, and skills, both in general and in specific domains. Divergent and convergent thinking were also measured. Cluster analyses yielded three creative problem-solving typologies: High, Medium, and Low. The High Attribute group scored significantly higher in the Math Creative Problem-Solving Ability Test than did the Medium Attribute and Low Attribute groups. The results suggest a threshold effect from several attributes—divergent thinking, convergent thinking, motivation, general knowledge and skills, domain-specific knowledge and skills, and environment—on students’ creative problem-solving abilities. Balanced development of attributes may be an important consideration in nurturing creativity in children.

  11. Using a Design-Orientated Project to Attain Graduate Attributes

    Science.gov (United States)

    Moalosi, Richie; Molokwane, Shorn; Mothibedi, Gabriel

    2012-01-01

    Nowadays universities are required not only to impart knowledge of specific disciplines but also generic graduate attributes such as communication, problem-solving, teamwork, creative thinking, research and inquiry skills. For students to attain these generic skills, educators are encouraged to use learner-centred approaches in teaching.…

  12. Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology.

    Science.gov (United States)

    Zhang, Min; Luo, Meifen; Nie, Rui; Zhang, Yan

    2017-12-01

    This paper aims to explore factors influencing the healthcare wearable technology adoption intention from perspectives of technical attributes (perceived convenience, perceived irreplaceability, perceived credibility and perceived usefulness), health attribute (health belief) and consumer attributes (consumer innovativeness, conspicuous consumption, informational reference group influence and gender difference). By integrating technology acceptance model, health belief model, snob effect and conformity and reference group theory, hypotheses and research model are proposed. The empirical investigation (N=436) collects research data through questionnaire. Results show that the adoption intention of healthcare wearable technology is influenced by technical attributes, health attribute and consumer attributes simultaneously. For technical attributes, perceived convenience and perceived credibility both positively affect perceived usefulness, and perceived usefulness influences adoption intention. The relation between perceived irreplaceability and perceived usefulness is only supported by males. For health attribute, health belief affects perceived usefulness for females. For consumer attributes, conspicuous consumption and informational reference group influence can significantly moderate the relation between perceived usefulness and adoption intention and the relation between consumer innovativeness and adoption intention respectively. What's more, consumer innovativeness significantly affects adoption intention for males. This paper aims to discuss technical attributes, health attribute and consumer attributes and their roles in the adoption intention of healthcare wearable technology. Findings may provide enlightenment to differentiate product developing and marketing strategies and provide some implications for clinical medicine. Copyright © 2017 Elsevier B.V. All rights reserved.

  13. Exploring regional stakeholder needs and requirements in terms of Extreme Weather Event Attribution

    Science.gov (United States)

    Schwab, M.; Meinke, I.; Vanderlinden, J. P.; Touili, N.; Von Storch, H.

    2015-12-01

    Extreme event attribution has increasingly received attention in the scientific community. It may also serve decision-making at the regional level where much of the climate change impact mitigation takes place. Nevertheless, there is, to date, little known about the requirements of regional actors in terms of extreme event attribution. We have therefore analysed these at the example of regional decision-makers for climate change-related activities and/or concerned with storm surge risks at the German Baltic Sea and heat wave risks in the Greater Paris area. In order to explore if stakeholders find scientific knowledge from extreme event attribution useful and how this information might be relevant to their decision-making, we consulted a diverse set of actors engaged in the assessment, mitigation and communication of storm surge, heat wave, and climate change-related risks. Extreme event attribution knowledge was perceived to be most useful to public and political awareness-raising, but was of little or no relevance for the consulted stakeholders themselves. It was not acknowledged that it would support adaptation planning as sometimes argued in the literature. The consulted coastal protection, health, and urban adaptation planners rather needed reliable statements about possible future changes in extreme events than causal statements about past events. To enhance salience, a suitable product of event attribution should be linked to regional problems, vulnerabilities, and impacts of climate change. Given that the tolerance of uncertainty is rather low, most of the stakeholders also claimed that a suitable product of event attribution is to be received from a trusted "honest broker" and published rather later, but with smaller uncertainties than vice versa. Institutional mechanisms, like regional climate services, which enable and foster communication, translation and mediation across the boundaries between knowledge and action can help fulfill such requirements

  14. Distinct neural substrates of visuospatial and verbal-analytic reasoning as assessed by Raven's Advanced Progressive Matrices.

    Science.gov (United States)

    Chen, Zhencai; De Beuckelaer, Alain; Wang, Xu; Liu, Jia

    2017-11-24

    Recent studies revealed spontaneous neural activity to be associated with fluid intelligence (gF) which is commonly assessed by Raven's Advanced Progressive Matrices, and embeds two types of reasoning: visuospatial and verbal-analytic reasoning. With resting-state fMRI data, using global brain connectivity (GBC) analysis which averages functional connectivity of a voxel in relation to all other voxels in the brain, distinct neural correlates of these two reasoning types were found. For visuospatial reasoning, negative correlations were observed in both the primary visual cortex (PVC) and the precuneus, and positive correlations were observed in the temporal lobe. For verbal-analytic reasoning, negative correlations were observed in the right inferior frontal gyrus (rIFG), dorsal anterior cingulate cortex and temporoparietal junction, and positive correlations were observed in the angular gyrus. Furthermore, an interaction between GBC value and type of reasoning was found in the PVC, rIFG and the temporal lobe. These findings suggest that visuospatial reasoning benefits more from elaborate perception to stimulus features, whereas verbal-analytic reasoning benefits more from feature integration and hypothesis testing. In sum, the present study offers, for different types of reasoning in gF, first empirical evidence of separate neural substrates in the resting brain.

  15. Detecting and Attributing Health Burdens to Climate Change.

    Science.gov (United States)

    Ebi, Kristie L; Ogden, Nicholas H; Semenza, Jan C; Woodward, Alistair

    2017-08-07

    Detection and attribution of health impacts caused by climate change uses formal methods to determine a ) whether the occurrence of adverse health outcomes has changed, and b ) the extent to which that change could be attributed to climate change. There have been limited efforts to undertake detection and attribution analyses in health. Our goal was to show a range of approaches for conducting detection and attribution analyses. Case studies for heatwaves, Lyme disease in Canada, and Vibrio emergence in northern Europe highlight evidence that climate change is adversely affecting human health. Changes in rates and geographic distribution of adverse health outcomes were detected, and, in each instance, a proportion of the observed changes could, in our judgment, be attributed to changes in weather patterns associated with climate change. The results of detection and attribution studies can inform evidence-based risk management to reduce current, and plan for future, changes in health risks associated with climate change. Gaining a better understanding of the size, timing, and distribution of the climate change burden of disease and injury requires reliable long-term data sets, more knowledge about the factors that confound and modify the effects of climate on health, and refinement of analytic techniques for detection and attribution. At the same time, significant advances are possible in the absence of complete data and statistical certainty: there is a place for well-informed judgments, based on understanding of underlying processes and matching of patterns of health, climate, and other determinants of human well-being. https://doi.org/10.1289/EHP1509.

  16. Agency attribution: event-related potentials and outcome monitoring.

    Science.gov (United States)

    Bednark, Jeffery G; Franz, Elizabeth A

    2014-04-01

    Knowledge about the effects of our actions is an underlying feature of voluntary behavior. Given the importance of identifying the outcomes of our actions, it has been proposed that the sensory outcomes of self-made actions are inherently different from those of externally caused outcomes. Thus, the outcomes of self-made actions are likely to be more motivationally significant for an agent. We used event-related potentials to investigate the relationship between the perceived motivational significance of an outcome and the attribution of agency in the presence of others. In our experiment, we assessed agency attribution in the presence of another agent by varying the degree of contiguity between participants' self-made actions and the sensory outcome. Specifically, we assessed the feedback correct-related positivity (fCRP) and the novelty P3 measures of an outcome's motivational significance and unexpectedness, respectively. Results revealed that both the fCRP and participants' agency attributions were significantly influenced by action-outcome contiguity. However, when action-outcome contiguity was ambiguous, novelty P3 amplitude was a reliable indicator of agency attribution. Prior agency attributions were also found to influence attribution in trials with ambiguous and low action-outcome contiguity. Participants' use of multiple cues to determine agency is consistent with the cue integration theory of agency. In addition to these novel findings, this study supports growing evidence suggesting that reinforcement processes play a significant role in the sense of agency.

  17. Estimating Preferences for Wood Products with Environmental Attributes

    Directory of Open Access Journals (Sweden)

    Masaji Sakagami

    2018-01-01

    Full Text Available Tropical deforestation and forest degradation are serious problems for the global environment; as a result, sustainable forest management and forest certification have become important. In this study, using a choice experiment, we investigated, on the demand side, consumers’ preferences and willingness to pay (WTP for certified wood products that attempt to address public concerns regarding deforestation and forest degradation. Specifically, we investigated how estimates of consumers’ preferences and WTP were influenced by product attributes such as quality, certification, and price. To the authors’ knowledge, few studies of this kind have been conducted, particularly in Japan. The study’s main finding was that Japanese consumers were willing to pay a premium for certified wood products with attributes related to sustainable forest management; most preferred were products with attributes related to preserving biodiversity. These findings indicate that consumers are willing to pay a premium for products that contribute to solving the problems of deforestation and forest degradation.

  18. Intellectual Growth in Children as a Function of Domain Specific and Domain General Working Memory Subgroups

    Science.gov (United States)

    Swanson, H. Lee

    2011-01-01

    This study examined whether children's growth on measures of fluid (Raven Colored Progressive Matrices) and crystallized (reading and math achievement) intelligence was attributable to domain-specific or domain-general functions of working memory (WM). A sample of 290 elementary school children was tested on measures of intelligence across three…

  19. Identifying critical thinking indicators and critical thinker attributes in nursing practice.

    Science.gov (United States)

    Chao, Shu-Yuan; Liu, Hsing-Yuan; Wu, Ming-Chang; Clark, Mary Jo; Tan, Jung-Ying

    2013-09-01

    Critical thinking is an essential skill in the nursing process. Although several studies have evaluated the critical thinking skills of nurses, there is limited information related to the indicators of critical thinking or evaluation of critical thinking in the context of the nursing process. This study investigated the potential indicators of critical thinking and the attributes of critical thinkers in clinical nursing practice. Knowledge of these indicators can aid the development of tools to assess nursing students' critical thinking skills. The study was conducted between September 2009 and August 2010. In phase 1, a literature review and four focus groups were conducted to identify the indicators of critical thinking in the context of nursing and the attributes of critical thinkers. In phase 2, 30 nursing professionals participated in a modified Delphi research survey to establish consensus and the appropriateness of each indicator and attribute identified in phase 1. We identified 37 indicators of critical thinking and 10 attributes of critical thinkers. The indicators were categorized into five subscales within the context of the nursing process toreflect nursing clinical practice: assessment, 16 indicators of ability to apply professional knowledge and skills to analyze and interpret patient problems; diagnosis, five indicators of ability to propose preliminary suppositions; planning, five indicators of ability to develop problem-solving strategies; implementation, five indicators of ability to implement planning; and evaluation, six indicators of ability to self-assess and reflect. The study operationalized critical thinking into a practical indicator suitable for nursing contexts in which critical thinking is required for clinical problem solving. Identified indicators and attributes can assist clinical instructors to evaluate student critical thought skills and development-related teaching strategies.

  20. World Development Report 1998/1999 : Knowledge for Development

    OpenAIRE

    World Bank

    1998-01-01

    This is the twenty-first in the annual series assessing major development issues. This report acknowledges that knowledge, not capital, is the key to sustained economic growth and improvements in human well-being. It distinguishes between two sorts of knowledge: knowledge about technology, called technical knowledge or simply know-how, and knowledge about attributes, that is, knowledge about products, processes, or institutions. The report focuses on the relationship between the unequal distr...

  1. Beyond the knowledge deficit

    DEFF Research Database (Denmark)

    Hansen, Janus Staffan; Holm, Lotte; Frewer, Lynn

    2003-01-01

    The paper reviews psychological and social scientific research on lay attitudes to food risks. Many experts (scientists, food producers and public health advisors) regard public unease about food risks as excessive. This expert-lay discrepancy is often attributed to a 'knowledge deficit' among la...... in institutions and experts. It suggests that an interdisciplinary, contextualised and psychologically sound approach to the study of risk is needed.......The paper reviews psychological and social scientific research on lay attitudes to food risks. Many experts (scientists, food producers and public health advisors) regard public unease about food risks as excessive. This expert-lay discrepancy is often attributed to a 'knowledge deficit' among lay...... people. However, much research in psychology and sociology suggests that lay risk assessments are complex, situationally sensitive expressions of personal value systems. The paper is organised around four themes: risk perception, the communication of risk, lay handling of risk, and public trust...

  2. Academic procrastination: the relationship between causal attribution styles and behavioral postponement.

    Science.gov (United States)

    Badri Gargari, Rahim; Sabouri, Hossein; Norzad, Fatemeh

    2011-01-01

    This research was conducted to study the relationship between attribution and academic procrastination in University Students. The subjects were 203 undergraduate students, 55 males and 148 females, selected from English and French language and literature students of Tabriz University. Data were gathered through Procrastination Assessment Scale-student (PASS) and Causal Dimension Scale (CDA) and were analyzed by multiple regression analysis (stepwise). The results showed that there was a meaningful and negative relation between the locus of control and controllability in success context and academic procrastination. Besides, a meaningful and positive relation was observed between the locus of control and stability in failure context and procrastination. It was also found that 17% of the variance of procrastination was accounted by linear combination of attributions. We believe that causal attribution is a key in understanding procrastination in academic settings and is used by those who have the knowledge of Causal Attribution styles to organize their learning.

  3. Product Knowledge Modelling and Management

    DEFF Research Database (Denmark)

    Zhang, Y.; MacCallum, K. J.; Duffy, Alex

    1996-01-01

    function-oriented design. Both Specific Product Knowledge and Product Domain Knowledge are modelled at two levels, a meta-model and an information-level.Following that, a computer-based scheme to manage the proposed product lknowledge models within a dynamically changing environment is presented.......The term, Product Knowledge is used to refer to two related but distinct concepts; the knowledge of a specific product (Specific Product Knowledge) and the knowledge of a product domain (Product Domain Knowledge). Modelling and managing Product Knowlege is an essential part of carrying out design.......A scheme is presented in this paper to model, i.e. classify, structure and formalise the product knowledge for the purpose of supporting function-oriented design. The product design specification and four types of required attributes of a specific product have been identified to form the Specific Product...

  4. Experimental infection of nontarget species of rodents and birds with Brucella abortus strain RB51 vaccine

    Science.gov (United States)

    Januszewski, M.C.; Olsen, S.C.; McLean, R.G.; Clark, L.; Rhyan, Jack C.

    2001-01-01

    The Brucella abortus vaccine strain RB51 (SRB51) is being considered for use in the management of bnucellosis in wild bison (Bison bison) and elk (Cervus elaphus) populations in the Greater Yellowstone Area (USA). Evaluation of the vaccines safety in non-target species was considered necessary prior to field use. Between June 1998 and December 1999, ground squirrels (Spermophilus richardsonii, n = 21), deer mice (Peromyscus maniculatus, n = 14), prairie voles (Microtus ochrogaster, n = 21), and ravens (Corvus corax, n = 13) were orally inoculated with SRB51 or physiologic saline. Oral and rectal swabs and blood samples were collected for bacteriologic evaluation. Rodents were necropsied at 8 to 10 wk and 12 to 21 wk post inoculation (PI), and ravens at 7 and 11 wk PI. Spleen, liver and reproductive tissues were collected for bacteriologic and histopathologic evaluation. No differences in clinical signs, appetite, weight loss or gain, or activity were observed between saline- and SRB51-inoculated animals in all four species. Oral and rectal swabs from all species were negative throughout the study. In tissues obtained from SRB51-inoculated animals, the organism was isolated from six of seven (86%) ground squirrels, one of six (17%) deer mice, none of seven voles, and one of five (20%) ravens necropsied at 8, 8, 10, and 7 wk PI, respectively. Tissues from four of seven (57%) SRB51-inoculated ground squirrels were culture positive for the organism 12 wk PI; SRB51 was not recovered from deer mice, voles. or ravens necropsied 12, 21, or 11 wk, respectively, PI. SRB51 was not recovered from saline-inoculated ground squirrels, deer mice, or voles at any time but was recovered from one saline-inoculated raven at necropsy, 7 wk PI, likely attributable to contact with SRB51-inoculated ravens in an adjacent aviary room. Spleen was time primary tissue site of colonization in ground squirrels, followed by the liver and reproductive organs. The results indicate oral exposure to

  5. An evolution of image source camera attribution approaches.

    Science.gov (United States)

    Jahanirad, Mehdi; Wahab, Ainuddin Wahid Abdul; Anuar, Nor Badrul

    2016-05-01

    Camera attribution plays an important role in digital image forensics by providing the evidence and distinguishing characteristics of the origin of the digital image. It allows the forensic analyser to find the possible source camera which captured the image under investigation. However, in real-world applications, these approaches have faced many challenges due to the large set of multimedia data publicly available through photo sharing and social network sites, captured with uncontrolled conditions and undergone variety of hardware and software post-processing operations. Moreover, the legal system only accepts the forensic analysis of the digital image evidence if the applied camera attribution techniques are unbiased, reliable, nondestructive and widely accepted by the experts in the field. The aim of this paper is to investigate the evolutionary trend of image source camera attribution approaches from fundamental to practice, in particular, with the application of image processing and data mining techniques. Extracting implicit knowledge from images using intrinsic image artifacts for source camera attribution requires a structured image mining process. In this paper, we attempt to provide an introductory tutorial on the image processing pipeline, to determine the general classification of the features corresponding to different components for source camera attribution. The article also reviews techniques of the source camera attribution more comprehensively in the domain of the image forensics in conjunction with the presentation of classifying ongoing developments within the specified area. The classification of the existing source camera attribution approaches is presented based on the specific parameters, such as colour image processing pipeline, hardware- and software-related artifacts and the methods to extract such artifacts. The more recent source camera attribution approaches, which have not yet gained sufficient attention among image forensics

  6. Improving the Accuracy of Attribute Extraction using the Relatedness between Attribute Values

    Science.gov (United States)

    Bollegala, Danushka; Tani, Naoki; Ishizuka, Mitsuru

    Extracting attribute-values related to entities from web texts is an important step in numerous web related tasks such as information retrieval, information extraction, and entity disambiguation (namesake disambiguation). For example, for a search query that contains a personal name, we can not only return documents that contain that personal name, but if we have attribute-values such as the organization for which that person works, we can also suggest documents that contain information related to that organization, thereby improving the user's search experience. Despite numerous potential applications of attribute extraction, it remains a challenging task due to the inherent noise in web data -- often a single web page contains multiple entities and attributes. We propose a graph-based approach to select the correct attribute-values from a set of candidate attribute-values extracted for a particular entity. First, we build an undirected weighted graph in which, attribute-values are represented by nodes, and the edge that connects two nodes in the graph represents the degree of relatedness between the corresponding attribute-values. Next, we find the maximum spanning tree of this graph that connects exactly one attribute-value for each attribute-type. The proposed method outperforms previously proposed attribute extraction methods on a dataset that contains 5000 web pages.

  7. Zero-Shot Learning via Attribute Regression and Class Prototype Rectification.

    Science.gov (United States)

    Luo, Changzhi; Li, Zhetao; Huang, Kaizhu; Feng, Jiashi; Wang, Meng

    2018-02-01

    Zero-shot learning (ZSL) aims at classifying examples for unseen classes (with no training examples) given some other seen classes (with training examples). Most existing approaches exploit intermedia-level information (e.g., attributes) to transfer knowledge from seen classes to unseen classes. A common practice is to first learn projections from samples to attributes on seen classes via a regression method, and then apply such projections to unseen classes directly. However, it turns out that such a manner of learning strategy easily causes projection domain shift problem and hubness problem, which hinder the performance of ZSL task. In this paper, we also formulate ZSL as an attribute regression problem. However, different from general regression-based solutions, the proposed approach is novel in three aspects. First, a class prototype rectification method is proposed to connect the unseen classes to the seen classes. Here, a class prototype refers to a vector representation of a class, and it is also known as a class center, class signature, or class exemplar. Second, an alternating learning scheme is proposed for jointly performing attribute regression and rectifying the class prototypes. Finally, a new objective function which takes into consideration both the attribute regression accuracy and the class prototype discrimination is proposed. By introducing such a solution, domain shift problem and hubness problem can be mitigated. Experimental results on three public datasets (i.e., CUB200-2011, SUN Attribute, and aPaY) well demonstrate the effectiveness of our approach.

  8. The Attribution Theory of Learning and Advising Students on Academic Probation

    Science.gov (United States)

    Demetriou, Cynthia

    2011-01-01

    Academic advisors need to be knowledgeable of the ways students learn. To aid advisors in their exploration of learning theories, I provide an overview of the attribution theory of learning, including recent applications of the theory to research in college student learning. An understanding of this theory may help advisors understand student…

  9. Research on faults data processing and attributes reduction arithmetic based on data mining for nuclear power plants

    International Nuclear Information System (INIS)

    Liu Yongkuo; Xie Chunli; Xia Hong

    2010-01-01

    A distance standardized method is proposed considering the features of fault data of nuclear power plants and based on the knowledge discovery function of the data mining method, to standardize the data under different condition and of different order magnitudes. According to the characteristics of parameters, the parameters are dispersed using the alarm values, as a reference for the choice of the break points of the discrete data.The data are reduced using the concept lattice attribute reduction method, and thus the core attributes, relative necessary attributes and unnecessary attributes for fault diagnosis are obtained. The data in literature are calculated and the attributes are classified accurately. When the formal context is affirmatory, the fault can be diagnosed exactly using the core attributes. (authors)

  10. Event-related potentials to event-related words: grammatical class and semantic attributes in the representation of knowledge.

    Science.gov (United States)

    Barber, Horacio A; Kousta, Stavroula-Thaleia; Otten, Leun J; Vigliocco, Gabriella

    2010-05-21

    A number of recent studies have provided contradictory evidence on the question of whether grammatical class plays a role in the neural representation of lexical knowledge. Most of the previous studies comparing the processing of nouns and verbs, however, confounded word meaning and grammatical class by comparing verbs referring to actions with nouns referring to objects. Here, we recorded electrical brain activity from native Italian speakers reading single words all referring to events (e.g., corsa [the run]; correre [to run]), thus avoiding confounding nouns and verbs with objects and actions. We manipulated grammatical class (noun versus verb) as well as semantic attributes (motor versus sensory events). Activity between 300 and 450ms was more negative for nouns than verbs, and for sensory than motor words, over posterior scalp sites. These grammatical class and semantic effects were not dissociable in terms of latency, duration, or scalp distribution. In a later time window (450-110ms) and at frontal regions, grammatical class and semantic effects interacted; motor verbs were more positive than the other three word categories. We suggest that the lack of a temporal and topographical dissociation between grammatical class and semantic effects in the time range of the N400 component is compatible with an account in which both effects reflect the same underlying process related to meaning retrieval, and we link the later effect with working memory operations associated to the experimental task. Copyright 2010 Elsevier B.V. All rights reserved.

  11. Searchable attribute-based encryption scheme with attribute revocation in cloud storage.

    Science.gov (United States)

    Wang, Shangping; Zhao, Duqiao; Zhang, Yaling

    2017-01-01

    Attribute based encryption (ABE) is a good way to achieve flexible and secure access control to data, and attribute revocation is the extension of the attribute-based encryption, and the keyword search is an indispensable part for cloud storage. The combination of both has an important application in the cloud storage. In this paper, we construct a searchable attribute-based encryption scheme with attribute revocation in cloud storage, the keyword search in our scheme is attribute based with access control, when the search succeeds, the cloud server returns the corresponding cipher text to user and the user can decrypt the cipher text definitely. Besides, our scheme supports multiple keywords search, which makes the scheme more practical. Under the assumption of decisional bilinear Diffie-Hellman exponent (q-BDHE) and decisional Diffie-Hellman (DDH) in the selective security model, we prove that our scheme is secure.

  12. THE DESIGN OF KNOWLEDGE BASE FOR SURFACE RELATIONS BASED PART RECOGNITION APPROACH

    Directory of Open Access Journals (Sweden)

    Adem ÇİÇEK

    2007-01-01

    Full Text Available In this study, a new knowledge base for an expert system used in part recognition algorithm has been designed. Parts are recognized by the computer program by comparing face adjacency relations and attributes belonging to each part represented in the rules in the knowledge base developed with face adjacency relations and attributes generated from STEP file of the part. Besides, rule writing process has been quite simplified by generating the rules represented in the knowledge base with an automatic rule writing module developed within the system. With the knowledge base and automatic rule writing module used in the part recognition system, simple, intermediate and complex parts can be recognized by a part recognition program.

  13. A knowledge-based theory of rising scores on "culture-free" tests.

    Science.gov (United States)

    Fox, Mark C; Mitchum, Ainsley L

    2013-08-01

    Secular gains in intelligence test scores have perplexed researchers since they were documented by Flynn (1984, 1987). Gains are most pronounced on abstract, so-called culture-free tests, prompting Flynn (2007) to attribute them to problem-solving skills availed by scientifically advanced cultures. We propose that recent-born individuals have adopted an approach to analogy that enables them to infer higher level relations requiring roles that are not intrinsic to the objects that constitute initial representations of items. This proposal is translated into item-specific predictions about differences between cohorts in pass rates and item-response patterns on the Raven's Matrices (Flynn, 1987), a seemingly culture-free test that registers the largest Flynn effect. Consistent with predictions, archival data reveal that individuals born around 1940 are less able to map objects at higher levels of relational abstraction than individuals born around 1990. Polytomous Rasch models verify predicted violations of measurement invariance, as raw scores are found to underestimate the number of analogical rules inferred by members of the earlier cohort relative to members of the later cohort who achieve the same overall score. The work provides a plausible cognitive account of the Flynn effect, furthers understanding of the cognition of matrix reasoning, and underscores the need to consider how test-takers select item responses. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  14. Attributional processes in the learned helplessness paradigm: behavioral effects of global attributions.

    Science.gov (United States)

    Mikulincer, M

    1986-12-01

    Following the learned helplessness paradigm, I assessed in this study the effects of global and specific attributions for failure on the generalization of performance deficits in a dissimilar situation. Helplessness training consisted of experience with noncontingent failures on four cognitive discrimination problems attributed to either global or specific causes. Experiment 1 found that performance in a dissimilar situation was impaired following exposure to globally attributed failure. Experiment 2 examined the behavioral effects of the interaction between stable and global attributions of failure. Exposure to unsolvable problems resulted in reduced performance in a dissimilar situation only when failure was attributed to global and stable causes. Finally, Experiment 3 found that learned helplessness deficits were a product of the interaction of global and internal attribution. Performance deficits following unsolvable problems were recorded when failure was attributed to global and internal causes. Results were discussed in terms of the reformulated learned helplessness model.

  15. Exploring Work-Related Causal Attributions of Common Mental Disorders.

    Science.gov (United States)

    Olsen, Ingrid Blø; Øverland, Simon; Reme, Silje Endresen; Løvvik, Camilla

    2015-09-01

    Common mental disorders (CMDs) are major causes of sickness absence and disability. Prevention requires knowledge of how individuals perceive causal mechanisms, and in this study we sought to examine work-related factors as causal attribution of CMDs. A trial sample of n = 1,193, recruited because they struggled with work participation due to CMDs, answered an open-ended questionnaire item about what they believed were the most important causes of their CMDs. The population included participants at risk of sickness absence, and participants with reduced work participation due to sickness absence, disability or unemployment. We used thematic content analysis and categorized responses from 487 participants who reported work-related factors as causal attributions of their CMDs. Gender differences in work-related causal attributions were also examined. The participants attributed their CMDs to the following work-related factors; work stress, leadership, reduced work participation, job dissatisfaction, work conflict, social work environment, job insecurity and change, workplace bullying, and physical strain. Women tended to attribute CMDs to social factors at work. Findings from this study suggest several work-related risk factors for CMDs. Both factors at the workplace, and reduced work participation, were perceived by study participants as contributing causes of CMDs. Thus, there is a need to promote work participation whilst at the same time targeting aversive workplace factors. Further, our findings indicate that work-related factors may affect women and men differently. This illustrates that the association between work participation and CMDs is complex, and needs to be explored further.

  16. Extending Attribution Theory: Considering Students' Perceived Control of the Attribution Process

    Science.gov (United States)

    Fishman, Evan J.; Husman, Jenefer

    2017-01-01

    Research in attribution theory has shown that students' causal thinking profoundly affects their learning and motivational outcomes. Very few studies, however, have explored how students' attribution-related beliefs influence the causal thought process. The present study used the perceived control of the attribution process (PCAP) model to examine…

  17. Changing US Attributes After CS-US Pairings Changes CS-Attribute-Assessments: Evidence for CS-US Associations in Attribute Conditioning.

    Science.gov (United States)

    Förderer, Sabine; Unkelbach, Christian

    2016-03-01

    Attribute Conditioning (AC) refers to people's changed assessments of stimuli's (CSs) attributes due to repeated pairing with stimuli (USs) possessing these attributes; for example, when an athletic person (US) is paired with a neutral person (CS), the neutral person is judged to be more athletic after the pairing. We hypothesize that this AC effect is due to CSs' associations with USs rather than direct associations with attributes. Three experiments test this hypothesis by changing US attributes after CS-US pairings. Experiments 1 and 2 conditioned athleticism by pairing neutral men (CSs) with athletic and non-athletic USs. Post-conditioning, USs' athleticism was reversed, which systematically influenced participants' assessment of CS athleticism. Experiment 3 conditioned athleticism and changed USs' musicality after CS-US pairings. This post-conditioning change affected musicality assessments of CSs but did not influence athleticism-assessments. The results indicate that AC effects are based on an associative CS-US-attribute structure. © 2016 by the Society for Personality and Social Psychology, Inc.

  18. Science knowledge and biblical literalism.

    Science.gov (United States)

    Zigerell, L J

    2012-04-01

    Biblical literalists are often described as scientific illiterates, but little if any empirical research has tested this claim. Analysis of a sixteen-item battery from the 2008 US General Social Survey revealed that literalists possess less science knowledge than those with other views of Scripture, but that much of this deficit can be attributed to demographic factors and unequal educational attainment. The marginal direct effect of biblical belief suggests that literalism is not incompatible with knowledge of science and, therefore, the best avenue for increasing science knowledge among literalists may be to foster interest in science and design science courses to attenuate any perceived conflict between science and religion.

  19. Supporting infobuttons with terminological knowledge.

    Science.gov (United States)

    Cimino, J J; Elhanan, G; Zeng, Q

    1997-01-01

    We have developed several prototype applications which integrate clinical systems with on-line information resources by using patient data to drive queries in response to user information needs. We refer to these collectively as infobuttons because they are evoked with a minimum of keyboard entry. We make use of knowledge in our terminology, the Medical Entities Dictionary (MED) to assist with the selection of appropriate queries and resources, as well as the translation of patient data to forms recognized by the resources. This paper describes the kinds of knowledge in the MED, including literal attributes, hierarchical links and other semantic links, and how this knowledge is used in system integration.

  20. Malaria in pregnancy: Knowledge, attitude and practices of pregnant ...

    African Journals Online (AJOL)

    Questionnaires were administered to four hundred and seventy pregnant women from two hospitals and a traditional birth home (TBH) in Abeokuta, Nigeria, to assess their knowledge, attitude and practices about malaria. A high percentage of respondents 49.1% attributed malaria to mosquito bites; knowledge of ...

  1. Communicating shared knowledge in infancy.

    Science.gov (United States)

    Egyed, Katalin; Király, Ildikó; Gergely, György

    2013-07-01

    Object-directed emotion expressions provide two types of information: They can convey the expressers' person-specific subjective disposition toward objects, or they can be used communicatively as referential symbolic devices to convey culturally shared valence-related knowledge about referents that can be generalized to other individuals. By presenting object-directed emotion expressions in communicative versus noncommunicative contexts, we demonstrated that 18-month-olds can flexibly assign either a person-centered interpretation or an object-centered interpretation to referential emotion displays. When addressed by ostensive signals of communication, infants generalized their object-centered interpretation of the emotion display to other individuals as well, whereas in the noncommunicative emotion-expression context, they attributed to the emoting agent a person-specific subjective dispositional attitude without generalizing this attribution as relevant to other individuals. The findings indicate that, as proposed by natural pedagogy theory, infants are prepared to learn shared cultural knowledge from nonverbal communicative demonstrations addressed to them at a remarkably early age.

  2. Knowledge workers and knowledge-intense organizations, Part 2: Designing and managing for productivity.

    Science.gov (United States)

    Weaver, D; Sorrells-Jones, J

    1999-09-01

    Our economy is shifting from a hard goods and material products base to one in which knowledge is the primary mode of production. Organizations are experimenting with designs that support knowledge work by clustering individuals with different but complementary skills in focused teams. The goal is to increase applied knowledge that furthers the organization's strategic intent. The team-based knowledge work model holds promise for healthcare organizations that are under pressure to use knowledge to improve clinical care, integrate care across disciplines and settings, and accept accountability for costs. However, the shift from the traditional bureaucratic model to the flexible team-based design mandates changes in the design of the organization, the role of leadership, and the attributes of the teams and team members. In Part 2 of this three-part series, the authors explore the necessary design changes and the new roles for leadership, teams, and their members. Additionally, implications for healthcare clinicians, particularly nurses, are discussed.

  3. Service design attributes affecting diabetic patient preferences of telemedicine in South Korea.

    Science.gov (United States)

    Park, Hayoung; Chon, Yucheong; Lee, Jongsu; Choi, Ie-Jung; Yoon, Kun-Ho

    2011-01-01

    Attempts to introduce telemedicine in South Korea have failed mostly, leaving critical questions for service developers and providers about whether patients would be willing to pay for the service and how the service should be designed to encourage patient buy-in. In this study, we explore patients' valuations and preferences for each attribute of telemedicine service for diabetes management and evaluate patient willingness to pay for specific service attributes. We conducted a conjoint survey to collect data on patients' stated preferences among telemedicine service alternatives. The alternatives for diabetes-related service differed in 10 attributes, including those related to price, type of service provider, and service scope. To estimate the relative importance of attributes, patients' willingness to pay for each attribute, and their probable choice of specific alternatives, we used a rank-ordered logit model. A total of 118 respondents participated in the survey. All 10 attributes significantly affected patients' valuations and preferences, and demographic and disease characteristics, such as existence of complications and comorbidities, significantly affected patients' valuations of the attributes. Price was the most important attribute, followed by comprehensive scope of service, the availability of mobile phone-based delivery, and large general-hospital provided services. The study findings have significant implications for adoption policy and strategy of telemedicine in diabetes management care. Further, the methodology presented in this study can be used to draw knowledge needed to formulate effective policy for adoption of the necessary technology and for the design of services that attract potential beneficiaries.

  4. Infectious mononucleosis-like syndrome probably attributable to Coxsackie A virus infection.

    Science.gov (United States)

    Cunha, Burke A; Mickail, Nardeen; Petelin, Andrew P

    2012-01-01

    Infectious mononucleosis (IM) is a clinical syndrome most often attributable to Epstein-Barr virus (EBV). Characteristic clinical features of EBV IM include bilateral upper lid edema, exudative or nonexudative pharyngitis, bilateral posterior cervical adenopathy, and splenomegaly ± maculopapular rash. Laboratory features of EBV IM include atypical lymphocytes and elevated levels of serum transaminases. Leukopenia and thrombocytopenia are not uncommon. The syndrome of IM may also be attributable to other infectious diseases, eg, cytomegalovirus (CMV), human herpes virus-6 (HHV-6), or Toxoplasma gondii. Less commonly, viral hepatitis, leptospirosis, brucellosis, or parvovirus B(19) may present as an IM-like infection. To the best of our knowledge, only 2 cases of IM-like infections attributable to Coxsackie B viruses (B(3) and B(4)) have been reported. We present the first reported case of an IM-like syndrome with sore throat, fatigue, atypical lymphocytes, and elevated levels of serum transaminases likely due to Coxsackie A in an immunocompetent adult. Copyright © 2012 Elsevier Inc. All rights reserved.

  5. Organizational attributes that assure optimal utilization of public health nurses.

    Science.gov (United States)

    Meagher-Stewart, Donna; Underwood, Jane; MacDonald, Mary; Schoenfeld, Bonnie; Blythe, Jennifer; Knibbs, Kristin; Munroe, Val; Lavoie-Tremblay, Mélanie; Ehrlich, Anne; Ganann, Rebecca; Crea, Mary

    2010-01-01

    Optimal utilization of public health nurses (PHNs) is important for strengthening public health capacity and sustaining interest in public health nursing in the face of a global nursing shortage. To gain an insight into the organizational attributes that support PHNs to work effectively, 23 focus groups were held with PHNs, managers, and policymakers in diverse regions and urban and rural/remote settings across Canada. Participants identified attributes at all levels of the public health system: government and system-level action, local organizational culture of their employers, and supportive management practices. Effective leadership emerged as a strong message throughout all levels. Other organizational attributes included valuing and promoting public health nursing; having a shared vision, goals, and planning; building partnerships and collaboration; demonstrating flexibility and creativity; and supporting ongoing learning and knowledge sharing. The results of this study highlight opportunities for fostering organizational development and leadership in public health, influencing policies and programs to optimize public health nursing services and resources, and supporting PHNs to realize the full scope of their competencies.

  6. Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes.

    Science.gov (United States)

    Park, Seyoung; Nie, Xiaohan; Zhu, Song-Chun

    2017-07-25

    This paper presents an attribute and-or grammar (A-AOG) model for jointly inferring human body pose and human attributes in a parse graph with attributes augmented to nodes in the hierarchical representation. In contrast to other popular methods in the current literature that train separate classifiers for poses and individual attributes, our method explicitly represents the decomposition and articulation of body parts, and account for the correlations between poses and attributes. The A-AOG model is an amalgamation of three traditional grammar formulations: (i)Phrase structure grammar representing the hierarchical decomposition of the human body from whole to parts; (ii)Dependency grammar modeling the geometric articulation by a kinematic graph of the body pose; and (iii)Attribute grammar accounting for the compatibility relations between different parts in the hierarchy so that their appearances follow a consistent style. The parse graph outputs human detection, pose estimation, and attribute prediction simultaneously, which are intuitive and interpretable. We conduct experiments on two tasks on two datasets, and experimental results demonstrate the advantage of joint modeling in comparison with computing poses and attributes independently. Furthermore, our model obtains better performance over existing methods for both pose estimation and attribute prediction tasks.

  7. Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?

    KAUST Repository

    Alabdulmohsin, Ibrahim; Cisse, Moustapha; Zhang, Xiangliang

    2016-01-01

    One transfer learning approach that has gained a wide popularity lately is attribute-based zero-shot learning. Its goal is to learn novel classes that were never seen during the training stage. The classical route towards realizing this goal is to incorporate a prior knowledge, in the form of a semantic embedding of classes, and to learn to predict classes indirectly via their semantic attributes. Despite the amount of research devoted to this subject lately, no known algorithm has yet reported a predictive accuracy that could exceed the accuracy of supervised learning with very few training examples. For instance, the direct attribute prediction (DAP) algorithm, which forms a standard baseline for the task, is known to be as accurate as supervised learning when as few as two examples from each hidden class are used for training on some popular benchmark datasets! In this paper, we argue that this lack of significant results in the literature is not a coincidence; attribute-based zero-shot learning is fundamentally an ill-posed strategy. The key insight is the observation that the mechanical task of predicting an attribute is, in fact, quite different from the epistemological task of learning the “correct meaning” of the attribute itself. This renders attribute-based zero-shot learning fundamentally ill-posed. In more precise mathematical terms, attribute-based zero-shot learning is equivalent to the mirage goal of learning with respect to one distribution of instances, with the hope of being able to predict with respect to any arbitrary distribution. We demonstrate this overlooked fact on some synthetic and real datasets. The data and software related to this paper are available at https://mine. kaust.edu.sa/Pages/zero-shot-learning.aspx. © Springer International Publishing AG 2016.

  8. Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?

    KAUST Repository

    Alabdulmohsin, Ibrahim

    2016-09-03

    One transfer learning approach that has gained a wide popularity lately is attribute-based zero-shot learning. Its goal is to learn novel classes that were never seen during the training stage. The classical route towards realizing this goal is to incorporate a prior knowledge, in the form of a semantic embedding of classes, and to learn to predict classes indirectly via their semantic attributes. Despite the amount of research devoted to this subject lately, no known algorithm has yet reported a predictive accuracy that could exceed the accuracy of supervised learning with very few training examples. For instance, the direct attribute prediction (DAP) algorithm, which forms a standard baseline for the task, is known to be as accurate as supervised learning when as few as two examples from each hidden class are used for training on some popular benchmark datasets! In this paper, we argue that this lack of significant results in the literature is not a coincidence; attribute-based zero-shot learning is fundamentally an ill-posed strategy. The key insight is the observation that the mechanical task of predicting an attribute is, in fact, quite different from the epistemological task of learning the “correct meaning” of the attribute itself. This renders attribute-based zero-shot learning fundamentally ill-posed. In more precise mathematical terms, attribute-based zero-shot learning is equivalent to the mirage goal of learning with respect to one distribution of instances, with the hope of being able to predict with respect to any arbitrary distribution. We demonstrate this overlooked fact on some synthetic and real datasets. The data and software related to this paper are available at https://mine. kaust.edu.sa/Pages/zero-shot-learning.aspx. © Springer International Publishing AG 2016.

  9. Movie Popularity Classification based on Inherent Movie Attributes using C4.5, PART and Correlation Coefficient

    DEFF Research Database (Denmark)

    Ibnal Asad, Khalid; Ahmed, Tanvir; Rahman, Md. Saiedur

    2012-01-01

    Abundance of movie data across the internet makes it an obvious candidate for machine learning and knowledge discovery. But most researches are directed towards bi-polar classification of movie or generation of a movie recommendation system based on reviews given by viewers on various internet...... sites. Classification of movie popularity based solely on attributes of a movie i.e. actor, actress, director rating, language, country and budget etc. has been less highlighted due to large number of attributes that are associated with each movie and their differences in dimensions. In this paper, we...... propose classification scheme of pre-release movie popularity based on inherent attributes using C4.S and PART classifier algorithm and define the relation between attributes of post release movies using correlation coefficient....

  10. Assessment of knowledge and attitude towards prevention among ...

    African Journals Online (AJOL)

    =64) of the two dental colleges in Jammu city using pretested questionnaire. The questionnaire obtained information regarding their demographic and professional attributes, preventive knowledge regarding dental caries, periodontal disease, ...

  11. Detection and Attribution of Anthropogenic Climate Change Impacts

    Science.gov (United States)

    Rosenzweig, Cynthia; Neofotis, Peter

    2013-01-01

    Human-influenced climate change is an observed phenomenon affecting physical and biological systems across the globe. The majority of observed impacts are related to temperature changes and are located in the northern high- and midlatitudes. However, new evidence is emerging that demonstrates that impacts are related to precipitation changes as well as temperature, and that climate change is impacting systems and sectors beyond the Northern Hemisphere. In this paper, we highlight some of this new evidence-focusing on regions and sectors that the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) noted as under-represented-in the context of observed climate change impacts, direct and indirect drivers of change (including carbon dioxide itself), and methods of detection. We also present methods and studies attributing observed impacts to anthropogenic forcing. We argue that the expansion of methods of detection (in terms of a broader array of climate variables and data sources, inclusion of the major modes of climate variability, and incorporation of other drivers of change) is key to discerning the climate sensitivities of sectors and systems in regions where the impacts of climate change currently remain elusive. Attributing such changes to human forcing of the climate system, where possible, is important for development of effective mitigation and adaptation. Current challenges in documenting adaptation and the role of indigenous knowledge in detection and attribution are described.

  12. Consumer knowledge and attitudes toward nutritional labels.

    Science.gov (United States)

    Cannoosamy, Komeela; Pugo-Gunsam, Prity; Jeewon, Rajesh

    2014-01-01

    To determine Mauritian consumers' attitudes toward nutritional labels based on the Kano model and to identify determinants of the use and understanding of nutrition labels. The researchers also used a Kano model questionnaire to determine consumers' attitudes toward nutrition labeling. Four hundred consumers residing in Mauritius. Information was elicited via a questionnaire that assessed nutritional knowledge and information about the use and understanding of nutritional labels and demographic factors. Nutritional label use and understanding, nutrition knowledge, and association of demographic factors with label use. Statistical tests performed included 1-way ANOVA and independent samples t tests. Statistically significant relationships (P nutritional knowledge and nutritional label usage with demographic factors. All demographic factors with the exception of gender were significantly associated (P nutritional label understanding. Based on the outcome of the Kano survey, calorie content, trans fat content, protein content, and cholesterol content were found to be must-be attributes: that is, attributes that, when not present, result in consumer dissatisfaction. Age, education, income, household size, and nutrition knowledge had an impact on nutritional label use. Health promoters should aim to increase the use of nutritional labels. Copyright © 2014 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

  13. Knowledge assistant for robotic environmental characterization

    International Nuclear Information System (INIS)

    Feddema, J.; Rivera, J.; Tucker, S.; Matek, J.

    1996-08-01

    A prototype sensor fusion framework called the open-quotes Knowledge Assistantclose quotes has been developed and tested on a gantry robot at Sandia National Laboratories. This Knowledge Assistant guides the robot operator during the planning, execution, and post analysis stages of the characterization process. During the planning stage, the Knowledge Assistant suggests robot paths and speeds based on knowledge of sensors available and their physical characteristics. During execution, the Knowledge Assistant coordinates the collection of data through a data acquisition open-quotes specialist.close quotes During execution and postanalysis, the Knowledge Assistant sends raw data to other open-quotes specialists,close quotes which include statistical pattern recognition software, a neural network, and model-based search software. After the specialists return their results, the Knowledge Assistant consolidates the information and returns a report to the robot control system where the sensed objects and their attributes (e.g., estimated dimensions, weight, material composition, etc.) are displayed in the world model. This report highlights the major components of this system

  14. Non-Traditional Authorship Attribution Studies of William Shakespeare’s Canon: Some Caveats

    Directory of Open Access Journals (Sweden)

    Joseph Rudman

    2016-03-01

    Full Text Available The paper looks at the problems in conducting non-traditional authorship attribution studies on the canon of William Shakespeare. After a short introduction, the case is put forth that these studies are ‘scientific’ and must adhere to the tenets of the scientific method. By showing that a complete and valid experimental plan is necessary and pointing out the many and varied pitfalls (e.g., the text, the control groups, the treatment of errors, it becomes clear what a valid study of Shakespearean non-traditional authorship attribution demands. I then come to the conclusion that such a valid study is not attainable with the limits of present-day knowledge.

  15. A keyword searchable attribute-based encryption scheme with attribute update for cloud storage.

    Science.gov (United States)

    Wang, Shangping; Ye, Jian; Zhang, Yaling

    2018-01-01

    Ciphertext-policy attribute-based encryption (CP-ABE) scheme is a new type of data encryption primitive, which is very suitable for data cloud storage for its fine-grained access control. Keyword-based searchable encryption scheme enables users to quickly find interesting data stored in the cloud server without revealing any information of the searched keywords. In this work, we provide a keyword searchable attribute-based encryption scheme with attribute update for cloud storage, which is a combination of attribute-based encryption scheme and keyword searchable encryption scheme. The new scheme supports the user's attribute update, especially in our new scheme when a user's attribute need to be updated, only the user's secret key related with the attribute need to be updated, while other user's secret key and the ciphertexts related with this attribute need not to be updated with the help of the cloud server. In addition, we outsource the operation with high computation cost to cloud server to reduce the user's computational burden. Moreover, our scheme is proven to be semantic security against chosen ciphertext-policy and chosen plaintext attack in the general bilinear group model. And our scheme is also proven to be semantic security against chosen keyword attack under bilinear Diffie-Hellman (BDH) assumption.

  16. Strictness Analysis for Attribute Grammars

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    1992-01-01

    interpretation of attribute grammars. The framework is used to construct a strictness analysis for attribute grammars. Results of the analysis enable us to transform an attribute grammar such that attributes are evaluated during parsing, if possible. The analysis is proved correct by relating it to a fixpoint...... semantics for attribute grammars. An implementation of the analysis is discussed and some extensions to the analysis are mentioned....

  17. Exploration of Scholars’ Attributions of Instructional Barriers in the Context of Pedagogical-Epistemological Belief Systems

    Directory of Open Access Journals (Sweden)

    Yılmaz SOYSAL

    2017-08-01

    Full Text Available In this study, two academics’ who have been employed in a private university teaching barriers and accompanied attributional reasoning were examined in the context of their belief systems with regards to learning, teaching and knowledge. This study was conducted with a basic qualitative perspective. By means of qualitative data gathering and analysis, it was aimed at estimating how the relation between teaching barriers and attributional reasoning was influenced by pedagogical-epistemological belief systems of scholars. Qualitative data was collected through two different semi-structured interview protocols and gathered data was analyzed with an inductive and interpretivist manner. The scholars’ beliefs systems’ divergences (teacher-centered vs. learner-centered allowed to explore the presumable relation of barrier-attribution in the context of pedagogical-epistemological belief systems. It was found out that the scholar who has adopted the more learner-centered modes of teaching favors more internally-oriented, controllable and non-stable attributional styles in illustrating her barrier-attribution relation. In contrast, it was also detected that the scholar who has held more teacher-centered teaching beliefs is liable to make attributions to overly external, non-controllable and stable factors in illuminating her barrier-attribution relation. Major outcomes of the study are evaluated by means of psychological (i.e., attribution theory and instructional (pedagogical-epistemological beliefs lenses and suggestions are offered in the context of higher education.

  18. The attribute measurement technique

    International Nuclear Information System (INIS)

    MacArthur, Duncan W.; Langner, Diana; Smith, Morag; Thron, Jonathan; Razinkov, Sergey; Livke, Alexander

    2010-01-01

    Any verification measurement performed on potentially classified nuclear material must satisfy two seemingly contradictory constraints. First and foremost, no classified information can be released. At the same time, the monitoring party must have confidence in the veracity of the measurement. An information barrier (IB) is included in the measurement system to protect the potentially classified information while allowing sufficient information transfer to occur for the monitoring party to gain confidence that the material being measured is consistent with the host's declarations, concerning that material. The attribute measurement technique incorporates an IB and addresses both concerns by measuring several attributes of the nuclear material and displaying unclassified results through green (indicating that the material does possess the specified attribute) and red (indicating that the material does not possess the specified attribute) lights. The attribute measurement technique has been implemented in the AVNG, an attribute measuring system described in other presentations at this conference. In this presentation, we will discuss four techniques used in the AVNG: (1) the 1B, (2) the attribute measurement technique, (3) the use of open and secure modes to increase confidence in the displayed results, and (4) the joint design as a method for addressing both host and monitor needs.

  19. Exploring Attribution Theory and Bias

    Science.gov (United States)

    Robinson, Jessica A.

    2017-01-01

    Courses: This activity can be used in a wide range of classes, including interpersonal communication, introduction to communication, and small group communication. Objectives: After completing this activity, students should be able to: (1) define attribution theory, personality attribution, situational attribution, and attribution bias; (2)…

  20. Attributing illness to food

    DEFF Research Database (Denmark)

    Batz, M. B.; Doyle, M. P.; Morris, J. G.

    2005-01-01

    source responsible for illness. A wide variety of food attribution approaches and data are used around the world including the analysis of outbreak data, case-control studies, microbial subtyping and source tracking methods, and expert judgment, among others. The Food Safety Research Consortium sponsored......Identification and prioritization of effective food safety interventions require an understanding of the relationship between food and pathogen from farm to consumption. Critical to this cause is food attribution, the capacity to attribute cases of foodborne disease to the food vehicle or other...... the Food Attribution Data Workshop in October 2003 to discuss the virtues and limitations of these approaches and to identify future options for collecting food attribution data in the United States. We summarize workshop discussions and identify challenges that affect progress in this critical component...

  1. What is the source of cultural differences? -- Examining the influence of thinking style on the attribution process.

    Science.gov (United States)

    Jen, Chun-Hui; Lien, Yunn-Wen

    2010-02-01

    The present research is intended to find out whether individuals with analytic or holistic thought have different attribution processes. Cross-cultural research has suggested that East Asians, who tend to have a holistic thought pattern, differ in cognitive process from Westerners, who tend to engage in analytic thought. However, studies that found cultural difference in attribution process may have non-equivalence problems that make it hard to interpret the causal relationship between thinking style and attribution process. The present research extends this by measuring participants' thinking style within a single culture in order to ensure equivalence on potentially confounding variables such as prior knowledge and cognitive capacity. Two experiments demonstrate that both types of thinkers have identical attribution processes and suggest different thinking styles might relate to different tendencies toward situational information, but not to the attribution process itself. Copyright 2009 Elsevier B.V. All rights reserved.

  2. Desired attributes of new graduate nurses as identified by the rural community.

    Science.gov (United States)

    Sivamalai, S

    2008-01-01

    Preparing nurse graduates for practice is challenging because of the diversity of skills expected of them. Increasingly consumers are more informed and expect quality care. To identify the attributes a rural community expect in new graduate nurses in order for them to provide quality care. A questionnaire was designed to assess the importance attached to a set of attributes of graduate nurses expected by a rural community. The community included a range of professionals working with government and hospitals, community volunteers and retired people. After pilot testing, the questionnaire was distributed using a cluster sampling technique. A total of 656 completed questionnaires were returned, giving a response rate of 69%. The respondents were asked to rate the importance of each item for the community on a five-point Likert scale (5 = extremely important, 4 = very important, 3 = moderately important, 2 = possibly importantly, and 1 = not important at all). Exploratory factor analysis was performed on the 38 items using SPSS (SPSS inc; Chicago, IL, USA). Principal Components Analysis was applied to identify the number of factors followed by Oblimin rotation. The sample of 656 respondents consisted of 68% females and 30% males (2% did not identify their gender). The majority of the respondents (75.6%) were born in Australia, while 3.2% were born in the UK Kingdom. Principal Components Analysis identified five factors with eigenvalues above one, explaining 47.4% of the total variance. Items that loaded greater than + or - 0.3, (approximately 10% of the common factor variance) was associated with the factor in question. Component 1 was labelled Sympathetic/ Patients' welfare with the item 'Nurses should be sensitive to the emotional needs of patients' showing the highest loading. Component 2 was called Contextual knowledge/ Interpersonal skills. It contained items indicating that nurses should have good personal skills and possess a broad contextual knowledge of issues

  3. How Does Knowledge Promote Memory? The Distinctiveness Theory of Skilled Memory

    Science.gov (United States)

    Rawson, Katherine A.; Van Overschelde, James P.

    2008-01-01

    The robust effects of knowledge on memory for domain-relevant information reported in previous research have largely been attributed to improved organizational processing. The present research proposes the distinctiveness theory of skilled memory, which states that knowledge improves memory not only through improved organizational processing but…

  4. Flight Operations . [Zero Knowledge to Mission Complete

    Science.gov (United States)

    Forest, Greg; Apyan, Alex; Hillin, Andrew

    2016-01-01

    Outline the process that takes new hires with zero knowledge all the way to the point of completing missions in Flight Operations. Audience members should be able to outline the attributes of a flight controller and instructor, outline the training flow for flight controllers and instructors, and identify how the flight controller and instructor attributes are necessary to ensure operational excellence in mission prep and execution. Identify how the simulation environment is used to develop crisis management, communication, teamwork, and leadership skills for SGT employees beyond what can be provided by classroom training.

  5. Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)

    Data.gov (United States)

    U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures...

  6. Managing nuclear knowledge: A governmental perspective

    International Nuclear Information System (INIS)

    Kakodkar, A.

    2004-01-01

    Governments and industries have different perceptions about knowledge management. Corporate houses limit their vision to 3-5 years, while governments have to plan for decades. The industry works in a competitive environment and has to direct R and D towards customising the existing knowledge base, while governments have to direct R and D towards search for further knowledge. For a higher education programme to succeed, four attributes are very important. These are: the linkage of the higher education programme with frontline research, providing necessary excitement to the young students; the linkage with the society, the industry and national programme; and the matching of the needs of the human resource development programme with the actual requirements. (author)

  7. Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)

    Data.gov (United States)

    U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette...

  8. Core Knowledge Confusions among University Students

    Science.gov (United States)

    Lindeman, Marjaana; Svedholm, Annika M.; Takada, Mikito; Lonnqvist, Jan-Erik; Verkasalo, Markku

    2011-01-01

    Previous studies have demonstrated that university students hold several paranormal beliefs and that paranormal beliefs can be best explained with core knowledge confusions. The aim of this study was to explore to what extent university students confuse the core ontological attributes of lifeless material objects (e.g. a house, a stone), living…

  9. Attribution style, theory and empirical findings

    OpenAIRE

    Krohn, Charlotte

    2017-01-01

    Master i læring i komplekse systemer Attribution theory is a long-standing and widely discussed theory that addresses individuals’ explanation of causes of events. People attribute events of success and failure individually. Previous studies indicate that performance in sporting events may be improved by changing individuals’ attribution style. Article one describes attribution and attribution theory as state of the art. The article addresses the most important findings within attribution ...

  10. Software Attribution for Geoscience Applications in the Computational Infrastructure for Geodynamics

    Science.gov (United States)

    Hwang, L.; Dumit, J.; Fish, A.; Soito, L.; Kellogg, L. H.; Smith, M.

    2015-12-01

    Scientific software is largely developed by individual scientists and represents a significant intellectual contribution to the field. As the scientific culture and funding agencies move towards an expectation that software be open-source, there is a corresponding need for mechanisms to cite software, both to provide credit and recognition to developers, and to aid in discoverability of software and scientific reproducibility. We assess the geodynamic modeling community's current citation practices by examining more than 300 predominantly self-reported publications utilizing scientific software in the past 5 years that is available through the Computational Infrastructure for Geodynamics (CIG). Preliminary results indicate that authors cite and attribute software either through citing (in rank order) peer-reviewed scientific publications, a user's manual, and/or a paper describing the software code. Attributions maybe found directly in the text, in acknowledgements, in figure captions, or in footnotes. What is considered citable varies widely. Citations predominantly lack software version numbers or persistent identifiers to find the software package. Versioning may be implied through reference to a versioned user manual. Authors sometimes report code features used and whether they have modified the code. As an open-source community, CIG requests that researchers contribute their modifications to the repository. However, such modifications may not be contributed back to a repository code branch, decreasing the chances of discoverability and reproducibility. Survey results through CIG's Software Attribution for Geoscience Applications (SAGA) project suggest that lack of knowledge, tools, and workflows to cite codes are barriers to effectively implement the emerging citation norms. Generated on-demand attributions on software landing pages and a prototype extensible plug-in to automatically generate attributions in codes are the first steps towards reproducibility.

  11. Students' Knowledge of Aging and Career Preferences

    Science.gov (United States)

    Lun, Man Wai

    2012-01-01

    The increased number of older adults attributes to a rising need for future professionals to work in gerontology. Understanding the influence of students' career choices is important. A qualitative study was conducted after students' taking a gerontology course to explore students' knowledge and career preference in gerontology. The results were…

  12. Textural, nutritional and functional attributes in tomato genotypes for breeding better quality varieties.

    Science.gov (United States)

    Saha, Supradip; Hedau, Nirmal K; Mahajan, Vinay; Singh, Gyanendra; Gupta, Hari S; Gahalain, Anita

    2010-01-30

    Screening of natural biodiversity for their better quality attributes is of prime importance for quality breeding programmes. A set of 53 tomato genotypes was measured for their textural [skin firmness, pericarp thickness, total soluble solids (TSS)], nutritional [phosphorus (P), potassium (K), iron (Fe), zinc (Zn), copper (Cu), manganese (Mn) and titrable acidity (TA)] and functional (beta-carotene, lycopene and ascorbic acid) quality attributes. Three sets of data (textural, nutritional and functional attributes) were obtained and analysed for their mutual relationships. Wide variations were observed in most of the measurements, e.g. skin firmness (coefficient of variability (CV) 269-612 g), pericarp thickness (CV 1.4-4.9 mm), potassium (CV 229-371 mg 100 g(-1)), iron (CV 611-1772 mg 100 g(-1)), ascorbic acid (CV 12-86 mg 100 g(-1)), suggesting that there are considerable levels of genetic diversity. Significant correlations (P acid and copper of 0.57, pericarp thickness and lycopene of - 0.52. However, there were no correlations between textural and nutritional attributes. Five factors were computed by principal component analysis that explained 66% of the variation in the attributes, among which all micronutrients other than iron, TSS, firmness and beta-carotene were most important. Functional attributes except beta-carotene played a less important role in explaining total variation. This knowledge could aid in the efficient conservation of important parts of the agricultural biodiversity of India. These results are also potentially useful for tomato breeders working on the development of new varieties. (c) 2009 Society of Chemical Industry.

  13. Gender Differences in Perceived Importance and Performance of Penang Island Attributes

    Directory of Open Access Journals (Sweden)

    Omar Shida Irwana

    2014-01-01

    Full Text Available This paper examines the gender differences in perceived importance and performance of Penang Island attributes. The data was drawn from questionnaire survey of 801 international tourists who visited the island between August and November 2012. Previous studies related to gender differences in Malaysian destinations are found scarce and neglected, thus this paper aims to bridge this knowledge gap. The needs to study gender differences are related to the suggestions that men and women engage in different leisure activities, possess different travel motivations and perceive differently when embarking for holiday. The study found a number of gender similarities and differences between the men and women tourists, in terms of their travel style and perceptions of importance and performance of destination attributes. These results indicate that gender may not be the only influence on behaviour and perceptions, and those men and women should not be regarded as homogenous groups.

  14. Cluster Based Vector Attribute Filtering

    NARCIS (Netherlands)

    Kiwanuka, Fred N.; Wilkinson, Michael H.F.

    2016-01-01

    Morphological attribute filters operate on images based on properties or attributes of connected components. Until recently, attribute filtering was based on a single global threshold on a scalar property to remove or retain objects. A single threshold struggles in case no single property or

  15. Belief attribution despite verbal interference.

    Science.gov (United States)

    Forgeot d'Arc, Baudouin; Ramus, Franck

    2011-05-01

    False-belief (FB) tasks have been widely used to study the ability of individuals to represent the content of their conspecifics' mental states (theory of mind). However, the cognitive processes involved are still poorly understood, and it remains particularly debated whether language and inner speech are necessary for the attribution of beliefs to other agents. We present a completely nonverbal paradigm consisting of silent animated cartoons in five closely related conditions, systematically teasing apart different aspects of scene analysis and allowing the assessment of the attribution of beliefs, goals, and physical causation. In order to test the role of language in belief attribution, we used verbal shadowing as a dual task to inhibit inner speech. Data on 58 healthy adults indicate that verbal interference decreases overall performance, but has no specific effect on belief attribution. Participants remained able to attribute beliefs despite heavy concurrent demands on their verbal abilities. Our results are most consistent with the hypothesis that belief attribution is independent from inner speech.

  16. Smoking-attributable medical expenditures by age, sex, and smoking status estimated using a relative risk approach☆

    Science.gov (United States)

    Maciosek, Michael V.; Xu, Xin; Butani, Amy L.; Pechacek, Terry F.

    2015-01-01

    Objective To accurately assess the benefits of tobacco control interventions and to better inform decision makers, knowledge of medical expenditures by age, gender, and smoking status is essential. Method We propose an approach to distribute smoking-attributable expenditures by age, gender, and cigarette smoking status to reflect the known risks of smoking. We distribute hospitalization days for smoking-attributable diseases according to relative risks of smoking-attributable mortality, and use the method to determine national estimates of smoking-attributable expenditures by age, sex, and cigarette smoking status. Sensitivity analyses explored assumptions of the method. Results Both current and former smokers ages 75 and over have about 12 times the smoking-attributable expenditures of their current and former smoker counterparts 35–54 years of age. Within each age group, the expenditures of formers smokers are about 70% lower than current smokers. In sensitivity analysis, these results were not robust to large changes to the relative risks of smoking-attributable mortality which were used in the calculations. Conclusion Sex- and age-group-specific smoking expenditures reflect observed disease risk differences between current and former cigarette smokers and indicate that about 70% of current smokers’ excess medical care costs is preventable by quitting. PMID:26051203

  17. Assessing and Managing Knowledge Loss Risk

    International Nuclear Information System (INIS)

    Dermarkar, Fred

    2013-01-01

    Summary: • Sustaining Design Basis Knowledge is a strategic need for long term safe and reliable operation; • Utilities need to manage knowledge in a systematic manner, based on identifying areas of risk, developing and implementing plans to mitigate the risk, and exercising oversight of those plans; • Approaches will differ depending upon organizational functions and needs; • Individual utility efforts are not sufficient: they need to be complemented by a larger scale infrastructure in the academic and research communities; • The Canadian nuclear industry has been collaborating to actively support and expand the academic infrastructure to sustain design basis knowledge; • KM initiatives require constant nurturing for sustainability; • Internationally recognized guidance on Characteristics, Attributes and Best Practices for governmental, industrial and academic contributions to KM is important to sustainability

  18. Evolutionary Influences on Attribution and Affect

    Directory of Open Access Journals (Sweden)

    Jennie Brown

    2017-12-01

    Full Text Available Evolutionary theory was applied to Reeder and Brewer's schematic theory and Trafimow's affect theory to extend this area of research with five new predictions involving affect and ability attributions, comparing morality and ability attributions, gender differences, and reaction times for affect and attribution ratings. The design included a 2 (Trait Dimension Type: HR, PR × 2 (Behavior Type: morality, ability × 2 (Valence: positive, negative × 2 (Replication: original, replication × 2 (Sex: female or male actor × 2 (Gender: female or male participant × 2 (Order: attribution portion first, affect portion first mixed design. All factors were within participants except the order and participant gender. Participants were presented with 32 different scenarios in which an actor engaged in a concrete behavior after which they made attributions and rated their affect in response to the behavior. Reaction times were measured during attribution and affect ratings. In general, the findings from the experiment supported the new predictions. Affect was related to attributions for both morality and ability related behaviors. Morality related behaviors received more extreme attribution and affect ratings than ability related behaviors. Female actors received stronger attribution and affect ratings for diagnostic morality behaviors compared to male actors. Male and female actors received similar attribution and affect ratings for diagnostic ability behaviors. Diagnostic behaviors were associated with lower reaction times than non-diagnostic behaviors. These findings demonstrate the utility of evolutionary theory in creating new hypotheses and empirical findings in the domain of attribution.

  19. Making judgments about other people: impression formation and attributional processing in older adults

    Directory of Open Access Journals (Sweden)

    Abby Heckman Coats

    2013-08-01

    Full Text Available Older adults face changing relationships with family members and friends with aging. Social cognition researchers investigate how individuals think about these social situations. The results of this research suggest that older adults are effective at accurately judging social partners when they are motivated to do so and can apply their accumulated knowledge to the situation. However, when cognitive resources are required in social situations, older adults may not perform as well as young adults. We review evidence supporting the importance of cognition, motivation, and knowledge for older adults’ impression formation and attributional reasoning. This research is important because it can lead to interventions to help older adults avoid scams and improve their interpersonal relationships.

  20. Exploiting prior knowledge of English, Mathematics and Chemistry ...

    African Journals Online (AJOL)

    This paper explores prior knowledge with the view to enhancing the study of French. Juxtaposing sentences in French and English to underscore syntactic differences and similarities, the paper attributes numerical values to nouns and adjectives in French in order to demonstrate the mathematical imbalance and lack of ...

  1. Integrating knowledge management in the context of evidence based learning: two concept models for facilitating the assessment and acquisition of job knowledge

    NARCIS (Netherlands)

    Mol, S.T.; Kismihók, G.; Ansari, F.; Dornhöfer, M.; Fathi, M.

    2013-01-01

    Within the field of Human Resource Management (HRM), the role of individual knowledge has received limited research attention despite offering the promise of superior job performance and improved managerial decision-making. In part, this lack of research may be attributed to the difficulty and

  2. Knowledge Reduction Based on Divide and Conquer Method in Rough Set Theory

    Directory of Open Access Journals (Sweden)

    Feng Hu

    2012-01-01

    Full Text Available The divide and conquer method is a typical granular computing method using multiple levels of abstraction and granulations. So far, although some achievements based on divided and conquer method in the rough set theory have been acquired, the systematic methods for knowledge reduction based on divide and conquer method are still absent. In this paper, the knowledge reduction approaches based on divide and conquer method, under equivalence relation and under tolerance relation, are presented, respectively. After that, a systematic approach, named as the abstract process for knowledge reduction based on divide and conquer method in rough set theory, is proposed. Based on the presented approach, two algorithms for knowledge reduction, including an algorithm for attribute reduction and an algorithm for attribute value reduction, are presented. Some experimental evaluations are done to test the methods on uci data sets and KDDCUP99 data sets. The experimental results illustrate that the proposed approaches are efficient to process large data sets with good recognition rate, compared with KNN, SVM, C4.5, Naive Bayes, and CART.

  3. Customers' attributional judgments towards complaint handling in airline service: a confirmatory study based on attribution theory.

    Science.gov (United States)

    Chiou, Wen-Bin

    2007-06-01

    Besides flight safety, complaint handling plays a crucial role in airline service. Based upon Kelley's attribution theory, in the present study customers' attributions were examined under different conditions of complaint handling by the airlines. There were 531 passengers (216 women; ages 21 to 63 years, M = 41.5, SD = 11.1) with experiences of customer complaints who were recruited while awaiting boarding. Participants received one hypothetical scenario of three attributional conditions about complaint handling and then reported their attributional judgments. The findings indicated that the passengers were most likely to attribute the company's complaint handling to unconditional compliance when the airline company reacted to customer complaints under low distinctiveness, high consistency, and when consensus among the airlines was low. On the other hand, most passengers attributed the company's complaint handling to conditional compliance under the conditions in which distinctiveness, consistency, and consensus were all high. The results provide further insights into how different policies of complaint management affect customers' attributions. Future directions and managerial implications are also discussed.

  4. Weight Calculation for Cases Generated by Tacit Knowledge Explicit Based on RS-FAHP

    Directory of Open Access Journals (Sweden)

    Cao Yue

    2017-01-01

    Full Text Available In the knowledge economy, it becomes the core competence of persons, groups and organizations to effectively organize and manage tacit knowledge, affecting their sustainable development. Case explicit for tacit knowledge is an effective way to improve their clarity, improve management efficiency. it determines the validity of the case view to calculate legitimately the weights for the case aspects or attributes, and further affect the application benefit of the explicit knowledge. The case view affected seriously by the subjective, obtaining via traditional direct weighting method, and the objectivity of the result is not strong. On the other hand, the objective weights configuration is not only ignored the expert knowledge, but also lead to the acceptance barriers for the body of knowledge to accept the result. Therefore, in this paper, relying on rough set (RS theory, the integrating algorithm of two objective weight configuration is analyzed Systematically, based on conditional entropy and property dependence. Simultaneously, Fuzzy Analytic Hierarchy Process (AHP is studied to take into account the operational experience and knowledge of experts in the field. And then, case attribute RS-FAHP comprehensive weight placement algorithms is designed, based on the integration of subjective and objective thinking. The work mentioned above can improve and perfect the traditional configuration of weights, and support to apply and manage the tacit knowledge explicit cases effectively.

  5. Attribute importance segmentation of Norwegian seafood consumers: The inclusion of salient packaging attributes.

    Science.gov (United States)

    Olsen, Svein Ottar; Tuu, Ho Huu; Grunert, Klaus G

    2017-10-01

    The main purpose of this study is to identify consumer segments based on the importance of product attributes when buying seafood for homemade meals on weekdays. There is a particular focus on the relative importance of the packaging attributes of fresh seafood. The results are based on a representative survey of 840 Norwegian consumers between 18 and 80 years of age. This study found that taste, freshness, nutritional value and naturalness are the most important attributes for the home consumption of seafood. Except for the high importance of information about expiration date, most other packaging attributes have only medium importance. Three consumer segments are identified based on the importance of 33 attributes associated with seafood: Perfectionists, Quality Conscious and Careless Consumers. The Quality Conscious consumers feel more self-confident in their evaluation of quality, and are less concerned with packaging, branding, convenience and emotional benefits compared to the Perfectionists. Careless Consumers are important as regular consumers of convenient and pre-packed seafood products and value recipe information on the packaging. The seafood industry may use the results provided in this study to strengthen their positioning of seafood across three different consumer segments. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. A Temporal Fuzzy Logic Formalism for Knowledge Based Systems

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2012-11-01

    Full Text Available This paper shows that the influence of knowledge on new forms of work organisation can be described as mutual relationships. Different changes in work organisation also have a strong influence on the increasing importance of knowledge of different individual and collective actors in working situations. After that, we characterize a piece of basic formal system, an Extended Fuzzy Logic System (EFLS with temporal attributes, to conceptualize future DKMSs based on human imprecise for distributed just in time decisions. The approximate reasoning is perceived as a derivation of new formulas with the corresponding temporal attributes, within a fuzzy theory defined by the fuzzy set of special axioms. In a management application, the reasoning is evolutionary because of unexpected events which may change the state of the DKMS. In this kind of situations it is necessary to elaborate certain mechanisms in order to maintain the coherence of the obtained conclusions, to figure out their degree of reliability and the time domain for which these are true. These last aspects stand as possible further directions of development at a basic logic level for future technologies that must automate knowledge organizational processes.

  7. Assessment of Andragogical Attributes of Distance Learners

    Science.gov (United States)

    Hashim, Rugayah Gy; Ahmad, Hashim; Ahmad, Nor'aini

    The purpose of this research was to assess the andragogical attribute of adult students engaged in distance learning, specifically, with regards to the main construct, cognitive engagement versus academic achievement. Five hundred students were sampled and the response rate was 33.8%. From the analyses, the overall mean score for cognitive engagement is 3.75 from a scale of one to seven. The results indicated that knowledge gained through the e-distance learning is low and this evidence correlates to the average academic performance or CGPA of the respondents, which is between 2.50-2.99. The findings indicated a low level of integration and motivation in learning and consequently it is suggested that training programs and additional course revisions be integrated into the curriculum to ensure the chances of student success and reduce attrition rate.

  8. ANALISIS PERSEPSI AUDITOR MENGENAI FAKTOR PENENTU AUDIT FEE BERDASARKAN CLIENT ATTRIBUTES, AUDITOR ATTRIBUTES, DAN ENGAGEMENT ATRTRIBUTES

    Directory of Open Access Journals (Sweden)

    Aman Faturachman

    2013-04-01

    Full Text Available This research purposes to know how perception auditors about determining factors of audit fee based on Client Attributes, Auditor Attributes, and Engagement Attributes at The Public Accountant Firm residing in Bandung. In this research, the indicator that is used to characterize the Client Attributes are size, complexity, inherent risk, profitability, leverage and liquidity, and industry. While the indicator to characterize the Auditor Attributes are auditor’s specialization, audit tenure, and location. And the indicators to characterize the Engagement Attributes are audit problems, audit report lag, busy season, and number of reports. The Method that is used in this research is a descriptive method. The population in this research is a public accountant in Bandung. Based on sampling techniques that saturated and qualified then it take about 11 offices of public accountant. SmartPLS ver 2.0 M3 are used as a Statistical analysis. The result of this research with count the loading factor and bootstrapping method are, the first one that the perception of the auditor based on client attributes of audit fee determinants from which is very important to not important is size, complexity, profitability, inherent risk,  industry, and leverage & liquidty, the second states that perception based on auditor attributes audit fee determinants from which is very important to not important is audit tenure, location, and specialization. And the third states that the perception of auditor engagement attributes based determinants of audit fee which is very important to not important audit report lag, busy season, audit problems and number of reports.

  9. The Impact of Work-Integrated Learning Experiences on Attaining Graduate Attributes for Exercise and Sports Science Students

    Science.gov (United States)

    Hall, Melinda; Pascoe, Deborah; Charity, Megan

    2017-01-01

    Exercise and Sports Science (E&SS) programs at Federation University Australia provide work-integrated learning (WIL) opportunities for students to develop, apply and consolidate theoretical knowledge in the workplace. This study aimed to determine the influence of WIL experiences on achieving common graduate attributes for E&SS students.…

  10. Labeled experimental choice design for estimating attribute and availability cross effects with N attributes and specific brand attribute levels

    DEFF Research Database (Denmark)

    Nguyen, Thong Tien

    2011-01-01

    Experimental designs are required in widely used techniques in marketing research, especially for preference-based conjoint analysis and discrete-choice studies. Ideally, marketing researchers prefer orthogonal designs because this technique could give uncorrelated parameter estimates. However, o...... for implementing designs that is efficient enough to estimate model with N brands, each brand have K attributes, and brand attribute has specific levels. The paper also illustrates an example in food consumption study.......Experimental designs are required in widely used techniques in marketing research, especially for preference-based conjoint analysis and discrete-choice studies. Ideally, marketing researchers prefer orthogonal designs because this technique could give uncorrelated parameter estimates. However......, orthogonal design is not available for every situation. Instead, efficient design based on computerized design algorithm is always available. This paper presents the method of efficient design for estimating brand models having attribute and availability cross effects. The paper gives a framework...

  11. Semantic attributes based texture generation

    Science.gov (United States)

    Chi, Huifang; Gan, Yanhai; Qi, Lin; Dong, Junyu; Madessa, Amanuel Hirpa

    2018-04-01

    Semantic attributes are commonly used for texture description. They can be used to describe the information of a texture, such as patterns, textons, distributions, brightness, and so on. Generally speaking, semantic attributes are more concrete descriptors than perceptual features. Therefore, it is practical to generate texture images from semantic attributes. In this paper, we propose to generate high-quality texture images from semantic attributes. Over the last two decades, several works have been done on texture synthesis and generation. Most of them focusing on example-based texture synthesis and procedural texture generation. Semantic attributes based texture generation still deserves more devotion. Gan et al. proposed a useful joint model for perception driven texture generation. However, perceptual features are nonobjective spatial statistics used by humans to distinguish different textures in pre-attentive situations. To give more describing information about texture appearance, semantic attributes which are more in line with human description habits are desired. In this paper, we use sigmoid cross entropy loss in an auxiliary model to provide enough information for a generator. Consequently, the discriminator is released from the relatively intractable mission of figuring out the joint distribution of condition vectors and samples. To demonstrate the validity of our method, we compare our method to Gan et al.'s method on generating textures by designing experiments on PTD and DTD. All experimental results show that our model can generate textures from semantic attributes.

  12. Family caregivers' attributions about care-recipient behaviour: does caregiver relationship satisfaction mediate the attribution-distress relationship?

    Science.gov (United States)

    Hui, Siu-Kuen Azor; Elliott, Timothy R; Martin, Roy; Uswatte, Gitendra

    2011-09-01

    The relations of caregiver attributions about care-recipient's problem behaviour to caregiving relationship satisfaction and caregiver distress were examined. This is a cross sectional study. Seventy-five family caregivers of individuals diagnosed with various disabling health conditions were recruited and interviewed. Caregiver attributions (internality, intentionality, responsibility, and controllability), caregiving relationship satisfaction, and caregiver distress variables were measured. Structural equation techniques tested an a priori model of the latent constructs of caregiver attributions and caregiver relationship satisfaction to caregiver distress. Maladaptive caregiver attributions (i.e., more trait, higher intentionality, higher responsibility, and higher controllability) about care-recipients' problem behaviours predicted lower caregiving relationship satisfaction, which in turn was predictive of higher caregiver distress. Unexpectedly, caregiver attributions were not directly related to caregiver distress. However, attributions had an indirect effect on distress through relationship satisfaction. Younger caregivers experienced higher caregiver distress. Caregivers' explanations about care-recipient's problem behaviour are indicative of their satisfaction in the relationship with the care recipient, and poor caregiving relationship satisfaction is predictive of caregiver distress. Caregiver attributions and relationship quality may be considered in interventions with family caregivers. ©2010 The British Psychological Society.

  13. Power relations and reciprocity: dialectics of knowledge construction.

    Science.gov (United States)

    Ben-Ari, Adital; Enosh, Guy

    2013-03-01

    In this article we suggest a theoretical framework of knowledge construction by employing the concept of dialectics to power relationships between researcher and participants. Power distribution in research is perceived as dichotomous and asymmetrical in favor of the researcher, creating unequal power relations that make exploitation possible. Acknowledging such exploitation has led to a critical stance and attempts to bridge gaps through egalitarianism and empowerment of participants. Some scholars have focused on shifting expert knowledge differentials between researcher and participants throughout the research project. Others have evaluated such gaps as a source of knowledge construction. In the present work we applied a dialectical approach to understanding research relationships, suggesting reciprocity as their defining attribute, regardless of symmetry or asymmetry and as a source of knowledge construction. In this article we recommend avoiding a taken-for-granted attitude, because we see it as a direct obstacle to the construction of knowledge.

  14. Privacy Protection on Multiple Sensitive Attributes

    Science.gov (United States)

    Li, Zhen; Ye, Xiaojun

    In recent years, a privacy model called k-anonymity has gained popularity in the microdata releasing. As the microdata may contain multiple sensitive attributes about an individual, the protection of multiple sensitive attributes has become an important problem. Different from the existing models of single sensitive attribute, extra associations among multiple sensitive attributes should be invested. Two kinds of disclosure scenarios may happen because of logical associations. The Q&S Diversity is checked to prevent the foregoing disclosure risks, with an α Requirement definition used to ensure the diversity requirement. At last, a two-step greedy generalization algorithm is used to carry out the multiple sensitive attributes processing which deal with quasi-identifiers and sensitive attributes respectively. We reduce the overall distortion by the measure of Masking SA.

  15. Working memory capacity and fluid abilities: the more difficult the item, the more more is better.

    Science.gov (United States)

    Little, Daniel R; Lewandowsky, Stephan; Craig, Stewart

    2014-01-01

    The relationship between fluid intelligence and working memory is of fundamental importance to understanding how capacity-limited structures such as working memory interact with inference abilities to determine intelligent behavior. Recent evidence has suggested that the relationship between a fluid abilities test, Raven's Progressive Matrices, and working memory capacity (WMC) may be invariant across difficulty levels of the Raven's items. We show that this invariance can only be observed if the overall correlation between Raven's and WMC is low. Simulations of Raven's performance revealed that as the overall correlation between Raven's and WMC increases, the item-wise point bi-serial correlations involving WMC are no longer constant but increase considerably with item difficulty. The simulation results were confirmed by two studies that used a composite measure of WMC, which yielded a higher correlation between WMC and Raven's than reported in previous studies. As expected, with the higher overall correlation, there was a significant positive relationship between Raven's item difficulty and the extent of the item-wise correlation with WMC.

  16. Working memory capacity and fluid abilities: The more difficult the item, the more more is better

    Directory of Open Access Journals (Sweden)

    Daniel R Little

    2014-03-01

    Full Text Available The relationship between fluid intelligence and working memory is of fundamental importance to understanding how capacity-limited structures such as working memory interact with inference abilities to determine intelligent behaviour. Recent evidence has suggested that the relationship between a fluid abilities test, Raven's Progressive Matrices, and working memory capacity (WMC may be invariant across difficulty levels of the Raven's items. We show that this invariance can only be observed if the overall correlation between Raven's and WMC is low. Simulations of Raven's performance revealed that as the overall correlation between Raven's and WMC increases, the item-wise point bi-serial correlations involving WMC are no longer constant but increase considerably with item difficulty. The simulation results were confirmed by two studies that used a composite measure of WMC, which yielded a higher correlation between WMC and Raven's than reported in previous studies. As expected, with the higher overall correlation, there was a signifi□cant positive relationship between Raven's item difficulty and the extent of the item-wise correlation with WMC.

  17. The SEMA5A gene is associated with hippocampal volume, and their interaction is associated with performance on Raven's Progressive Matrices.

    Science.gov (United States)

    Zhu, Bi; Chen, Chuansheng; Xue, Gui; Moyzis, Robert K; Dong, Qi; Chen, Chunhui; Li, Jin; He, Qinghua; Lei, Xuemei; Wang, Yunxin; Lin, Chongde

    2014-03-01

    The Allen Brain Atlas shows that the semaphorin 5A (SEMA5A) gene, which encodes an important protein for neurogenesis and neuronal apoptosis, is predominantly expressed in the human hippocampus. Structural and functional neuroimaging studies have further shown that the hippocampus plays an important role in the performance on Raven's Progressive Matrices (RPM), a measure of reasoning ability and general fluid intelligence. Thus far, however, no study has examined the relationships between the SEMA5A gene polymorphism, hippocampal volume, and RPM performance. The current study collected both structural MRI, genetic, and behavioral data in 329 healthy Chinese adults, and examined associations between SEMA5A variants, hippocampal volume, and performance on RAPM (the advanced form of RPM). After controlling for intracranial volume (ICV), sex, and age, SEMA5A genetic polymorphism at the SNP rs42352 had the strongest association with hippocampal volume (p=0.00000552 and 0.000103 for right and left hippocampal volumes, respectively), with TT homozygotes having higher hippocampal volume than the other genotypes. Furthermore, there was a high correlation between right hippocampal volume and RAPM performance (r=0.42, p=0.0000509) for SEMA5A rs42352 TT homozygotes. This study provides the first evidence for the involvement of the SEMA5A gene in hippocampal structure and their interaction on RAPM performance. Future studies of the hippocampus-RPM associations should consider genetic factors as potential moderators. Copyright © 2013 Elsevier Inc. All rights reserved.

  18. Physical and physiological attributes of female volleyball players--a review.

    Science.gov (United States)

    Lidor, Ronnie; Ziv, Gal

    2010-07-01

    The main objective of this article was to review a series of studies (n = 31) on physical attributes, physiological attributes, and on-court performances of female volleyball players. Empirical and practical knowledge emerging from studies on training-related issues in volleyball, such as body mass, fat-free mass, aerobic profile, strength, and agility and speed, should be integrated and applied when planning annual training programs for volleyball players. Based on our review, it was found that (a) players of a higher skill level are taller, somewhat heavier, and have higher vertical jump values than players of a lower level; (b) the aerobic profile of female volleyball players is similar to that of female basketball players; (c) ballistic resistance training can increase vertical jump values in female volleyball players; and (d) preseason conditioning should be conducted to prevent fatigue and reduced performance at the beginning of the season. Among the research concerns discussed in the article are that there is a lack data for on-court performance and time-motion analysis in female volleyball players and that more experimental/manipulative studies are needed to examine the effectiveness of different training programs on physiological attributes of female volleyball players. Two practical implications are suggested for volleyball and strength and conditioning coaches: (a) functional and nonfunctional overreaching should be carefully monitored when planning strength and conditioning programs, and (b) volleyball programs should include ballistic-type training.

  19. Attributional and relational processing in pigeons

    Directory of Open Access Journals (Sweden)

    Dennis eGarlick

    2011-02-01

    Full Text Available Six pigeons were trained using a matching-to-sample procedure where sample and rewarded comparisons matched on both attributional (color and relational (horizontal or vertical orientation dimensions. Probes then evaluated the pigeons’ preference to comparisons that varied in these dimensions. A strong preference was found for the attribute of color. The discrimination was not found to transfer to novel colors, however, suggesting that a general color rule had not been learned. Further, when color could not be used to guide responding, some influence of other attributional cues such as shape, but not relational cues, was found. We conclude that pigeons based their performance on attributional properties of but not on relational properties between elements in our matching-to-sample procedure.. Future studies should look at examining other attributes to compare attributional versus relational processing.

  20. The Role of Leaf Volatiles of Ludwigia octovalvis (Jacq.) Raven in the Attraction of Altica cyanea (Weber) (Coleoptera: Chrysomelidae).

    Science.gov (United States)

    Mitra, Saubhik; Karmakar, Amarnath; Mukherjee, Abhishek; Barik, Anandamay

    2017-07-01

    Larvae and adults of Altica cyanea (Weber) (Coleoptera: Chrysomelidae) feed on the rice-field weed Ludwigia octovalvis (Jacq.) Raven (Onagraceae), commonly known as willow primrose, which is considered a biocontrol agent of the weed. Volatile organic compounds from undamaged plants, plants after 4, 12, and 36 h of continuous feeding by A. cyanea larvae or adult females and after mechanical damaging were identified by GC-MS and GC-FID analyses. Twenty nine compounds were identified from undamaged plants. 2Z-Penten-1-ol, geraniol, and 1-tridecanol were present in all plants damaged by larvae. In contrast, feeding by adults caused the release of 2Z-penten-1-ol only after 12 and 36 h; whereas geraniol and 1-tridecanol appeared only after 36 h. Farnesyl acetone was detected after 12 and 36 h of feeding by larvae and after 36 h of feeding by adults. Farnesene was detected after 36 h of feeding by larvae and adults. Linalool was unique after 36 h of feeding by larvae. In Y-shaped glass tube olfactometer bioassays, A. cyanea females were attracted to volatiles after 36 h of feeding by larvae or adults compared to volatiles released by undamaged plants. The insects were attracted to five synthetic compounds: 3-hexanol, α-pinene, linalool oxide, geraniol, and phytol. Synthetic blends were more attractive than individual compounds. Compared to undamaged plants, volatiles released by plants, damaged by conspecific individuals, were more attractive to A. cyanea females, due to elevated emissions of 3-hexanol, α-pinene, linalool oxide, geraniol, and phytol.

  1. Automated cleaning and uncertainty attribution of archival bathymetry based on a priori knowledge

    Science.gov (United States)

    Ladner, Rodney Wade; Elmore, Paul; Perkins, A. Louise; Bourgeois, Brian; Avera, Will

    2017-09-01

    Hydrographic offices hold large valuable historic bathymetric data sets, many of which were collected using older generation survey systems that contain little or no metadata and/or uncertainty estimates. These bathymetric data sets generally contain large outlier (errant) data points to clean, yet standard practice does not include rigorous automated procedures for systematic cleaning of these historical data sets and their subsequent conversion into reusable data formats. In this paper, we propose an automated method for this task. We utilize statistically diverse threshold tests, including a robust least trimmed squared method, to clean the data. We use LOESS weighted regression residuals together with a Student-t distribution to attribute uncertainty for each retained sounding; the resulting uncertainty values compare favorably with native estimates of uncertainty from co-located data sets which we use to estimate a point-wise goodness-of-fit measure. Storing a cleansed validated data set augmented with uncertainty in a re-usable format provides the details of this analysis for subsequent users. Our test results indicate that the method significantly improves the quality of the data set while concurrently providing confidence interval estimates and point-wise goodness-of-fit estimates as referenced to current hydrographic practices.

  2. Gluon attributes

    International Nuclear Information System (INIS)

    Weiler, T.

    1981-01-01

    An overview is presented of the attributes of gluons, deducible from experimental data. Particular attention is given to the photon-gluon fusion model of charm leptoproduction. The agreement with QCD and theoretical prejudice is qualitatively good

  3. Spanning Tree Based Attribute Clustering

    DEFF Research Database (Denmark)

    Zeng, Yifeng; Jorge, Cordero Hernandez

    2009-01-01

    Attribute clustering has been previously employed to detect statistical dependence between subsets of variables. We propose a novel attribute clustering algorithm motivated by research of complex networks, called the Star Discovery algorithm. The algorithm partitions and indirectly discards...... inconsistent edges from a maximum spanning tree by starting appropriate initial modes, therefore generating stable clusters. It discovers sound clusters through simple graph operations and achieves significant computational savings. We compare the Star Discovery algorithm against earlier attribute clustering...

  4. An Attribute-Based Access Control with Efficient and Secure Attribute Revocation for Cloud Data Sharing Service

    Institute of Scientific and Technical Information of China (English)

    Nyamsuren Vaanchig; Wei Chen; Zhi-Guang Qin

    2017-01-01

    Nowadays, there is the tendency to outsource data to cloud storage servers for data sharing purposes. In fact, this makes access control for the outsourced data a challenging issue. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptographic solution for this challenge. It gives the data owner (DO) direct control on access policy and enforces the access policy cryptographically. However, the practical application of CP-ABE in the data sharing service also has its own inherent challenge with regard to attribute revocation. To address this challenge, we proposed an attribute-revocable CP-ABE scheme by taking advantages of the over-encryption mechanism and CP-ABE scheme and by considering the semi-trusted cloud service provider (CSP) that participates in decryption processes to issue decryption tokens for authorized users. We further presented the security and performance analysis in order to assess the effectiveness of the scheme. As compared with the existing attribute-revocable CP-ABE schemes, our attribute-revocable scheme is reasonably efficient and more secure to enable attribute-based access control over the outsourced data in the cloud data sharing service.

  5. Breast cancer knowledge and awareness among university students ...

    African Journals Online (AJOL)

    Background: The high breast cancer mortality rate in Sub-Saharan Africa has been attributed to a lack of public awareness of the disease which often leads to late diagnosis of the disease. Little is known about the level of knowledge and awareness of breast cancer in Angola. Previous studies have shown that breast cancer ...

  6. Attribution Theory and Crisis Intervention Therapy.

    Science.gov (United States)

    Skilbeck, William M.

    It was proposed that existing therapeutic procedures may influence attributions about emotional states. Therefore an attributional analysis of crisis intervention, a model of community-based, short-term consultation, was presented. This analysis suggested that crisis intervention provides attributionally-relevant information about both the source…

  7. Technology, attributions, and emotions in post-secondary education: An application of Weiner's attribution theory to academic computing problems.

    Science.gov (United States)

    Maymon, Rebecca; Hall, Nathan C; Goetz, Thomas; Chiarella, Andrew; Rahimi, Sonia

    2018-01-01

    As technology becomes increasingly integrated with education, research on the relationships between students' computing-related emotions and motivation following technological difficulties is critical to improving learning experiences. Following from Weiner's (2010) attribution theory of achievement motivation, the present research examined relationships between causal attributions and emotions concerning academic computing difficulties in two studies. Study samples consisted of North American university students enrolled in both traditional and online universities (total N = 559) who responded to either hypothetical scenarios or experimental manipulations involving technological challenges experienced in academic settings. Findings from Study 1 showed stable and external attributions to be emotionally maladaptive (more helplessness, boredom, guilt), particularly in response to unexpected computing problems. Additionally, Study 2 found stable attributions for unexpected problems to predict more anxiety for traditional students, with both external and personally controllable attributions for minor problems proving emotionally beneficial for students in online degree programs (more hope, less anxiety). Overall, hypothesized negative effects of stable attributions were observed across both studies, with mixed results for personally controllable attributions and unanticipated emotional benefits of external attributions for academic computing problems warranting further study.

  8. Abstract Interpretation and Attribute Gramars

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    The objective of this thesis is to explore the connections between abstract interpretation and attribute grammars as frameworks in program analysis. Abstract interpretation is a semantics-based program analysis method. A large class of data flow analysis problems can be expressed as non-standard ...... is presented in the thesis. Methods from abstract interpretation can also be used in correctness proofs of attribute grammars. This proof technique introduces a new class of attribute grammars based on domain theory. This method is illustrated with examples....

  9. Attribute Learning for SAR Image Classification

    Directory of Open Access Journals (Sweden)

    Chu He

    2017-04-01

    Full Text Available This paper presents a classification approach based on attribute learning for high spatial resolution Synthetic Aperture Radar (SAR images. To explore the representative and discriminative attributes of SAR images, first, an iterative unsupervised algorithm is designed to cluster in the low-level feature space, where the maximum edge response and the ratio of mean-to-variance are included; a cross-validation step is applied to prevent overfitting. Second, the most discriminative clustering centers are sorted out to construct an attribute dictionary. By resorting to the attribute dictionary, a representation vector describing certain categories in the SAR image can be generated, which in turn is used to perform the classifying task. The experiments conducted on TerraSAR-X images indicate that those learned attributes have strong visual semantics, which are characterized by bright and dark spots, stripes, or their combinations. The classification method based on these learned attributes achieves better results.

  10. Comparison of Vehicle Efficiency Technology Attributes and Synergy Estimates

    Energy Technology Data Exchange (ETDEWEB)

    Duleep, G. [ICF Incorporated, LLC., Fairfax, VA (United States)

    2011-02-01

    Analyzing the future fuel economy of light-duty vehicles (LDVs) requires detailed knowledge of the vehicle technologies available to improve LDV fuel economy. The National Highway Transportation Safety Administration (NHTSA) has been relying on technology data from a 2001 National Academy of Sciences (NAS) study (NAS 2001) on corporate average fuel economy (CAFE) standards, but the technology parameters were updated in the new proposed rulemaking (EPA and NHTSA 2009) to set CAFE and greenhouse gas standards for the 2011 to 2016 period. The update is based largely on an Environmental Protection Agency (EPA) analysis of technology attributes augmented by NHTSA data and contractor staff assessments. These technology cost and performance data were documented in the Draft Joint Technical Support Document (TSD) issued by EPA and NHTSA in September 2009 (EPA/NHTSA 2009). For these tasks, the Energy and Environmental Analysis (EEA) division of ICF International (ICF) examined each technology and technology package in the Draft TSD and assessed their costs and performance potential based on U.S. Department of Energy (DOE) program assessments. ICF also assessed the technologies, other relevant attributes based on data from actual production vehicles, and recently published technical articles in engineering journals. ICF examined technology synergy issues through an ICF in-house model that uses a discrete parameter approach.

  11. Comparison of Vehicle Efficiency Technology Attributes and Synergy Estimates

    Energy Technology Data Exchange (ETDEWEB)

    Duleep, G.

    2011-02-01

    Analyzing the future fuel economy of light-duty vehicles (LDVs) requires detailed knowledge of the vehicle technologies available to improve LDV fuel economy. The National Highway Transportation Safety Administration (NHTSA) has been relying on technology data from a 2001 National Academy of Sciences (NAS) study (NAS 2001) on corporate average fuel economy (CAFE) standards, but the technology parameters were updated in the new proposed rulemaking (EPA and NHTSA 2009) to set CAFE and greenhouse gas standards for the 2011 to 2016 period. The update is based largely on an Environmental Protection Agency (EPA) analysis of technology attributes augmented by NHTSA data and contractor staff assessments. These technology cost and performance data were documented in the Draft Joint Technical Support Document (TSD) issued by EPA and NHTSA in September 2009 (EPA/NHTSA 2009). For these tasks, the Energy and Environmental Analysis (EEA) division of ICF International (ICF) examined each technology and technology package in the Draft TSD and assessed their costs and performance potential based on U.S. Department of Energy (DOE) program assessments. ICF also assessed the technologies? other relevant attributes based on data from actual production vehicles and from recently published technical articles in engineering journals. ICF examined technology synergy issues through an ICF in-house model that uses a discrete parameter approach.

  12. Gender Attributions of Science and Academic Attributes: AN Examination of Undergraduate Science, Mathematics, and Technology Majors

    Science.gov (United States)

    Hughes, W. Jay

    Questionnaire data (n = 297) examined the relationship between gender attributions of science and academic attributes for undergraduate science, mathematics, and technology majors from the perspective of gender schema theory. Female and male respondents perceived that (a) the role of scientist was sex typed as masculine, (b) their majors were more valuable for members of their gender than for those of the opposite gender, (c) their majors were more valuable for themselves than for members of their gender in general. Androgynous attributions of scientists and the value of one's major for women predicted value for oneself, major confidence, and career confidence, and masculine attributions of scientists predicted class participation for female respondents. Feminine attributions of scientists predicted graduate school intent; value for women predicted major confidence and subjective achievement, and value for men predicted value for oneself, course confidence, and career confidence for male respondents.

  13. Paranormal belief and attributional style.

    Science.gov (United States)

    Dudley, R T; Whisnand, E A

    2000-06-01

    52 college students completed Tobacyk's 1988 Revised Paranormal Belief Scale and Peterson, Semmel, von Baeyer, Abramson, Metalsky, and Seligman's 1982 Attributional Style Questionnaire. Analysis showed significantly higher depressive attributional styles among high scorers on paranormal phenomena than low scorers.

  14. From automata to animate beings: the scope and limits of attributing socialness to artificial agents.

    Science.gov (United States)

    Hortensius, Ruud; Cross, Emily S

    2018-05-11

    Understanding the mechanisms and consequences of attributing socialness to artificial agents has important implications for how we can use technology to lead more productive and fulfilling lives. Here, we integrate recent findings on the factors that shape behavioral and brain mechanisms that support social interactions between humans and artificial agents. We review how visual features of an agent, as well as knowledge factors within the human observer, shape attributions across dimensions of socialness. We explore how anthropomorphism and dehumanization further influence how we perceive and interact with artificial agents. Based on these findings, we argue that the cognitive reconstruction within the human observer is likely to be far more crucial in shaping our interactions with artificial agents than previously thought, while the artificial agent's visual features are possibly of lesser importance. We combine these findings to provide an integrative theoretical account based on the "like me" hypothesis, and discuss the key role played by the Theory-of-Mind network, especially the temporal parietal junction, in the shift from mechanistic to social attributions. We conclude by highlighting outstanding questions on the impact of long-term interactions with artificial agents on the behavioral and brain mechanisms of attributing socialness to these agents. © 2018 New York Academy of Sciences.

  15. Childhood headache attributed to airplane travel: a case report.

    Science.gov (United States)

    Rogers, Kirsty; Rafiq, Nadia; Prabhakar, Prab; Ahmed, Mas

    2015-05-01

    Headache attributed to airplane flights is a rare form of headache disorder. This case study describes an 11-year-old girl with recurrent, severe, frontal headaches occurring during airplane travel. The episodes were associated with dizziness and facial pallor but no additional symptoms and showed spontaneous resolution on landing. Blood tests and imaging revealed no abnormalities. The present case fulfils the criteria for airplane headache recently included in the revised edition of the International Classification of Headache Disorders (ICHD-III Beta). Only a few cases of airplane headache have been reported in children. To our knowledge, this is the fourth case. We review the current literature on this rare syndrome and discuss various proposed pathophysiological mechanisms. © The Author(s) 2014.

  16. Impact of Diagnosticity on the Adequacy of Models for Cognitive Diagnosis under a Linear Attribute Structure: A Simulation Study

    Science.gov (United States)

    de La Torre, Jimmy; Karelitz, Tzur M.

    2009-01-01

    Compared to unidimensional item response models (IRMs), cognitive diagnostic models (CDMs) based on latent classes represent examinees' knowledge and item requirements using discrete structures. This study systematically examines the viability of retrofitting CDMs to IRM-based data with a linear attribute structure. The study utilizes a procedure…

  17. Maturation of social attribution skills in typically developing children: an investigation using the social attribution task.

    Science.gov (United States)

    Hu, Zhouyi; Chan, Raymond C K; McAlonan, Grainne M

    2010-02-03

    The assessment of social attribution skills in children can potentially identify and quantify developmental difficulties related to autism spectrum disorders and related conditions. However, relatively little is known about how these skills develop in typically developing children. Therefore the present study aimed to map the trajectory of social attribution skill acquisition in typically developing children from a young age. In the conventional social attribution task (SAT) participants ascribe feelings to moving shapes and describe their interaction in social terms. However, this format requires that participants understand both, that an inanimate shape is symbolic, and that its action is social in nature. This may be challenging for young children, and may be a potential confounder in studies of children with developmental disorders. Therefore we developed a modified SAT (mSAT) using animate figures (e.g. animals) to simplify the task. We used the SAT and mSAT to examine social attribution skill development in 154 healthy children (76 boys, 78 girls), ranging in age from 6 to 13 years and investigated the relationship between social attribution ability and executive function. The mSAT revealed a steady improvement in social attribution skills from the age of 6 years, and a significant advantage for girls compared to boys. In contrast, children under the age of 9 years performed at baseline on the conventional format and there were no gender differences apparent. Performance on neither task correlated with executive function after controlling for age and verbal IQ, suggesting that social attribution ability is independent of cognitive functioning. The present findings indicate that the mSAT is a sensitive measure of social attribution skills from a young age. This should be carefully considered when choosing assessments for young children and those with developmental disorders.

  18. Maturation of social attribution skills in typically developing children: an investigation using the social attribution task

    Directory of Open Access Journals (Sweden)

    Chan Raymond CK

    2010-02-01

    Full Text Available Abstract Background The assessment of social attribution skills in children can potentially identify and quantify developmental difficulties related to autism spectrum disorders and related conditions. However, relatively little is known about how these skills develop in typically developing children. Therefore the present study aimed to map the trajectory of social attribution skill acquisition in typically developing children from a young age. Methods In the conventional social attribution task (SAT participants ascribe feelings to moving shapes and describe their interaction in social terms. However, this format requires that participants understand both, that an inanimate shape is symbolic, and that its action is social in nature. This may be challenging for young children, and may be a potential confounder in studies of children with developmental disorders. Therefore we developed a modified SAT (mSAT using animate figures (e.g. animals to simplify the task. We used the SAT and mSAT to examine social attribution skill development in 154 healthy children (76 boys, 78 girls, ranging in age from 6 to 13 years and investigated the relationship between social attribution ability and executive function. Results The mSAT revealed a steady improvement in social attribution skills from the age of 6 years, and a significant advantage for girls compared to boys. In contrast, children under the age of 9 years performed at baseline on the conventional format and there were no gender differences apparent. Performance on neither task correlated with executive function after controlling for age and verbal IQ, suggesting that social attribution ability is independent of cognitive functioning. The present findings indicate that the mSAT is a sensitive measure of social attribution skills from a young age. This should be carefully considered when choosing assessments for young children and those with developmental disorders.

  19. Digital signal display board design: A knowledge based study

    International Nuclear Information System (INIS)

    Chaitanya, V. Sree Krishna; Rao, C. Raghavendra

    2007-01-01

    The digital signal display board is assumed to be composed of picture tubes for the purpose of displaying characters. The signal board with the picture tubes constitutes an Information System. A methodology for obtaining the discrimable matrix or table (more decisive attributes) and knowledge reduction for the above information system is proposed

  20. Sensory Attribute Identification Time Cannot Explain the Common Temporal Limit of Binding Different Attributes and Modalities

    Directory of Open Access Journals (Sweden)

    Waka Fujisaki

    2011-10-01

    Full Text Available An informative performance measure of the brain's integration across different sensory attributes/modalities is the critical temporal rate of feature alternation (between, eg, red and green beyond which observers could not identify the feature value specified by a timing signal from another attribute (eg, a pitch change. Interestingly, this limit, which we called the critical crowding frequency (CCF, is fairly low and nearly constant (∼2.5 Hz regardless of the combination of attributes and modalities (Fujisaki & Nishida, 2010, IMRF. One may consider that the CCF reflects the processing time required for the brain to identify the specified feature value on the fly. According to this idea, the similarity in CCF could be ascribed to the similarity in identification time for the attributes we used (luminance, color, orientation, pitch, vibration. To test this idea, we estimated the identification time of each attribute from [Go/ No-Go choice reaction time – simple reaction time]. In disagreement with the prediction, we found significant differences among attributes (eg, ∼160 ms for orientation, ∼70 ms for pitch. The results are more consistent with our proposal (Fujisaki & Nishida, Proc Roy Soc B that the CCF reflects the common rate limit of specifying what happens when (timing-content binding by a central, presumably postdictive, mechanism.

  1. Parental Health Attributions of Childhood Health and Illness: Development of the Pediatric Cultural Health Attributions Questionnaire (Pedi-CHAQ).

    Science.gov (United States)

    Vaughn, Lisa M; McLinden, Daniel J; Shellmer, Diana; Baker, Raymond C

    2011-01-01

    The causes attributed to childhood health and illness across cultures (cultural health attributions) are key factors that are now more frequently identified as affecting the health outcomes of children. Research suggests that the causes attributed to an event such as illness are thought to affect subsequent motivation, emotional response, decision making, and behavior. To date, there is no measure of health attributions appropriate for use with parents of pediatric patients. Using the Many-Facets approach to Rasch analysis, this study assesses the psychometrics of a newly developed instrument, the Pediatric Health Attributions Questionnaire (Pedi-CHAQ), a measure designed to assess the cultural health attributions of parents in diverse communities. Results suggest acceptable Rasch model statistics of fit and reliability for the Pedi-CHAQ. A shortened version of the questionnaire was developed as a result of this study and next steps are discussed.

  2. Attributional Style and Depression in Multiple Sclerosis

    Science.gov (United States)

    Arnett, Peter A.

    2013-01-01

    Several etiologic theories have been proposed to explain depression in the general population. Studying these models and modifying them for use in the multiple sclerosis (MS) population may allow us to better understand depression in MS. According to the reformulated learned helplessness (LH) theory, individuals who attribute negative events to internal, stable, and global causes are more vulnerable to depression. This study differentiated attributional style that was or was not related to MS in 52 patients with MS to test the LH theory in this population and to determine possible differences between illness-related and non-illness-related attributions. Patients were administered measures of attributional style, daily stressors, disability, and depressive symptoms. Participants were more likely to list non-MS-related than MS-related causes of negative events on the Attributional Style Questionnaire (ASQ), and more-disabled participants listed significantly more MS-related causes than did less-disabled individuals. Non-MS-related attributional style correlated with stress and depressive symptoms, but MS-related attributional style did not correlate with disability or depressive symptoms. Stress mediated the effect of non-MS-related attributional style on depressive symptoms. These results suggest that, although attributional style appears to be an important construct in MS, it does not seem to be related directly to depressive symptoms; rather, it is related to more perceived stress, which in turn is related to increased depressive symptoms. PMID:24453767

  3. The many secure knowledge bases of psychotherapy.

    Science.gov (United States)

    Bergner, Raymond M

    2006-01-01

    Psychotherapeutic practice, while it has benefited greatly from scientific research, rests on many further secure epistemic foundations. In the present article, this thesis is argued in two stages. First, a brief review of some elementary epistemological findings is presented. In this review, the generally acknowledged degree of certainty attributed to different knowledge sources, and thus the confidence with which we may believe and act upon them, are recounted. Second, an extended analysis of the ways in which each of these knowledge sources enter into the practice of psychotherapy is developed. In the end, what is proffered here is a demonstration that well conducted psychotherapy is an activity whose judgments and decisions rest on many secure foundations.

  4. Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology

    Science.gov (United States)

    Sharma, Harshita; Zerbe, Norman; Heim, Daniel; Wienert, Stephan; Lohmann, Sebastian; Hellwich, Olaf; Hufnagl, Peter

    2016-03-01

    This paper describes a novel graph-based method for efficient representation and subsequent classification in histological whole slide images of gastric cancer. Her2/neu immunohistochemically stained and haematoxylin and eosin stained histological sections of gastric carcinoma are digitized. Immunohistochemical staining is used in practice by pathologists to determine extent of malignancy, however, it is laborious to visually discriminate the corresponding malignancy levels in the more commonly used haematoxylin and eosin stain, and this study attempts to solve this problem using a computer-based method. Cell nuclei are first isolated at high magnification using an automatic cell nuclei segmentation strategy, followed by construction of cell nuclei attributed relational graphs of the tissue regions. These graphs represent tissue architecture comprehensively, as they contain information about cell nuclei morphology as vertex attributes, along with knowledge of neighborhood in the form of edge linking and edge attributes. Global graph characteristics are derived and ensemble learning is used to discriminate between three types of malignancy levels, namely, non-tumor, Her2/neu positive tumor and Her2/neu negative tumor. Performance is compared with state of the art methods including four texture feature groups (Haralick, Gabor, Local Binary Patterns and Varma Zisserman features), color and intensity features, and Voronoi diagram and Delaunay triangulation. Texture, color and intensity information is also combined with graph-based knowledge, followed by correlation analysis. Quantitative assessment is performed using two cross validation strategies. On investigating the experimental results, it can be concluded that the proposed method provides a promising way for computer-based analysis of histopathological images of gastric cancer.

  5. Knowledge discovery with classification rules in a cardiovascular dataset.

    Science.gov (United States)

    Podgorelec, Vili; Kokol, Peter; Stiglic, Milojka Molan; Hericko, Marjan; Rozman, Ivan

    2005-12-01

    In this paper we study an evolutionary machine learning approach to data mining and knowledge discovery based on the induction of classification rules. A method for automatic rules induction called AREX using evolutionary induction of decision trees and automatic programming is introduced. The proposed algorithm is applied to a cardiovascular dataset consisting of different groups of attributes which should possibly reveal the presence of some specific cardiovascular problems in young patients. A case study is presented that shows the use of AREX for the classification of patients and for discovering possible new medical knowledge from the dataset. The defined knowledge discovery loop comprises a medical expert's assessment of induced rules to drive the evolution of rule sets towards more appropriate solutions. The final result is the discovery of a possible new medical knowledge in the field of pediatric cardiology.

  6. Defining the Benefits, Outputs, and Knowledge Elements of Program Evaluation.

    Science.gov (United States)

    Zorzi, Rochelle; Perrin, Burt; McGuire, Martha; Long, Bud; Lee, Linda

    2002-01-01

    The Canadian Evaluation Society explored the benefits that can be attributed to program evaluation, the outputs necessary to achieve those benefits, and the knowledge and skills needed to produce outputs. Findings, which articulate benefits, outputs, and skills, can be used by evaluation organizations to support advocacy and professional…

  7. Nuclear Knowledge Management

    International Nuclear Information System (INIS)

    Hanamitsu, K.

    2015-01-01

    Knowledge is a strategic asset in every business. It should be actively managed by creating, acquiring, sharing, transferring and retaining among workers. Leaders and managers have to understand the significance of knowledge management (KM), recognise the risks of knowledge loss and gaps, and its impact on their working environment. Nuclear industry appears to be behind other industries in KM. This is firstly attributed to the nature of business which deals with sensitive data on nuclear materials and prioritises safety and security over information sharing. Second, it faces strong competition over the operational life-cycle, which discourages to exchange know-how and experiences. Third, nuclear industry is highly technology-oriented with homogeneous form, which misleads people to believe that KM has been already in place. Those factors could be barriers to establish nuclear KM culture on the basis of corporate core value and safety culture. Practical example of KM in business includes codification of particular skills into knowledge repository such as manual, handbook and database, and implicit knowledge transfer from experts to successors through apprenticeship and mentoring programmes. The examples suggest that KM applications closely link to information technology (IT) and human resource development (HRD) strategies, which results in effective integration of all available resources: people, process, and technology. Globalization and diversity is another dimension where KM can contribute to the solution. Global companies have to achieve a common goal beyond cultural, racial and gender differences. KM helps reduce the gaps, identify the core competence, and increase flexibility in workplace. Working women have been developing their professional career while adapting to situational changes in their lives. It might be easier for them to understand the importance of KM and develop KM practices in the organizations. KM will help nuclear industry to respond to the

  8. Attribute-Based Digital Signature System

    NARCIS (Netherlands)

    Ibraimi, L.; Asim, Muhammad; Petkovic, M.

    2011-01-01

    An attribute-based digital signature system comprises a signature generation unit (1) for signing a message (m) by generating a signature (s) based on a user secret key (SK) associated with a set of user attributes, wherein the signature generation unit (1) is arranged for combining the user secret

  9. Process attributes in bio-ontologies

    Directory of Open Access Journals (Sweden)

    Andrade André Q

    2012-08-01

    Full Text Available Abstract Background Biomedical processes can provide essential information about the (mal- functioning of an organism and are thus frequently represented in biomedical terminologies and ontologies, including the GO Biological Process branch. These processes often need to be described and categorised in terms of their attributes, such as rates or regularities. The adequate representation of such process attributes has been a contentious issue in bio-ontologies recently; and domain ontologies have correspondingly developed ad hoc workarounds that compromise interoperability and logical consistency. Results We present a design pattern for the representation of process attributes that is compatible with upper ontology frameworks such as BFO and BioTop. Our solution rests on two key tenets: firstly, that many of the sorts of process attributes which are biomedically interesting can be characterised by the ways that repeated parts of such processes constitute, in combination, an overall process; secondly, that entities for which a full logical definition can be assigned do not need to be treated as primitive within a formal ontology framework. We apply this approach to the challenge of modelling and automatically classifying examples of normal and abnormal rates and patterns of heart beating processes, and discuss the expressivity required in the underlying ontology representation language. We provide full definitions for process attributes at increasing levels of domain complexity. Conclusions We show that a logical definition of process attributes is feasible, though limited by the expressivity of DL languages so that the creation of primitives is still necessary. This finding may endorse current formal upper-ontology frameworks as a way of ensuring consistency, interoperability and clarity.

  10. Technology, attributions, and emotions in post-secondary education: An application of Weiner’s attribution theory to academic computing problems

    Science.gov (United States)

    Hall, Nathan C.; Goetz, Thomas; Chiarella, Andrew; Rahimi, Sonia

    2018-01-01

    As technology becomes increasingly integrated with education, research on the relationships between students’ computing-related emotions and motivation following technological difficulties is critical to improving learning experiences. Following from Weiner’s (2010) attribution theory of achievement motivation, the present research examined relationships between causal attributions and emotions concerning academic computing difficulties in two studies. Study samples consisted of North American university students enrolled in both traditional and online universities (total N = 559) who responded to either hypothetical scenarios or experimental manipulations involving technological challenges experienced in academic settings. Findings from Study 1 showed stable and external attributions to be emotionally maladaptive (more helplessness, boredom, guilt), particularly in response to unexpected computing problems. Additionally, Study 2 found stable attributions for unexpected problems to predict more anxiety for traditional students, with both external and personally controllable attributions for minor problems proving emotionally beneficial for students in online degree programs (more hope, less anxiety). Overall, hypothesized negative effects of stable attributions were observed across both studies, with mixed results for personally controllable attributions and unanticipated emotional benefits of external attributions for academic computing problems warranting further study. PMID:29529039

  11. Free Will and the Brain Disease Model of Addiction: The Not So Seductive Allure of Neuroscience and Its Modest Impact on the Attribution of Free Will to People with an Addiction

    Directory of Open Access Journals (Sweden)

    Eric Racine

    2017-11-01

    Full Text Available Free will has been the object of debate in the context of addiction given that addiction could compromise an individual's ability to choose freely between alternative courses of action. Proponents of the brain-disease model of addiction have argued that a neuroscience perspective on addiction reduces the attribution of free will because it relocates the cause of the disorder to the brain rather than to the person, thereby diminishing the blame attributed to the person with an addiction. Others have worried that such displacement of free will attribution would make the person with a drug addiction less responsible. Using the paradigmatic literature on the seductive allure of neuroscience explanations, we tested whether neuroscience information diminishes attributions of free will in the context of addiction and whether respondent characteristics influence these attributions and modulate the effect of neuroscience information. We performed a large-scale, web-based experiment with 2,378 German participants to explore how attributions of free will in the context of addiction to either alcohol or cocaine are affected by: (1 a text with a neurobiological explanation of addiction, (2 a neuroimage showing effects of addiction on the brain, and (3 a combination of a text and a neuroimage, in comparison to a control group that received no information. Belief in free will was measured using the FAD-Plus scale and was, subsequent to factor analysis, separated into two factors: responsibility and volition. The investigated respondent characteristics included gender, age, education, self-reported knowledge of neuroscience, substance-use disorder (SUD, and having a friend with SUD. We found that attributions of volition (in the cocaine-subsample were reduced in the text and neuroimage-treatment compared to the control group. However, respondent characteristics such as education and self-reported knowledge of neuroscience were associated with lower attributions

  12. Free Will and the Brain Disease Model of Addiction: The Not So Seductive Allure of Neuroscience and Its Modest Impact on the Attribution of Free Will to People with an Addiction.

    Science.gov (United States)

    Racine, Eric; Sattler, Sebastian; Escande, Alice

    2017-01-01

    Free will has been the object of debate in the context of addiction given that addiction could compromise an individual's ability to choose freely between alternative courses of action. Proponents of the brain-disease model of addiction have argued that a neuroscience perspective on addiction reduces the attribution of free will because it relocates the cause of the disorder to the brain rather than to the person, thereby diminishing the blame attributed to the person with an addiction. Others have worried that such displacement of free will attribution would make the person with a drug addiction less responsible. Using the paradigmatic literature on the seductive allure of neuroscience explanations, we tested whether neuroscience information diminishes attributions of free will in the context of addiction and whether respondent characteristics influence these attributions and modulate the effect of neuroscience information. We performed a large-scale, web-based experiment with 2,378 German participants to explore how attributions of free will in the context of addiction to either alcohol or cocaine are affected by: (1) a text with a neurobiological explanation of addiction, (2) a neuroimage showing effects of addiction on the brain, and (3) a combination of a text and a neuroimage, in comparison to a control group that received no information. Belief in free will was measured using the FAD-Plus scale and was, subsequent to factor analysis, separated into two factors: responsibility and volition. The investigated respondent characteristics included gender, age, education, self-reported knowledge of neuroscience, substance-use disorder (SUD), and having a friend with SUD. We found that attributions of volition (in the cocaine-subsample) were reduced in the text and neuroimage-treatment compared to the control group. However, respondent characteristics such as education and self-reported knowledge of neuroscience were associated with lower attributions of

  13. Organizational Attributes, Market Growth, and Product Innovation

    NARCIS (Netherlands)

    Song, Michael; Chen, Yan

    2014-01-01

    Extensive research has shown that organizational attributes affect product innovation. Extending this literature, this article delimits two general categories of organizational attributes and relates them to product innovation. Organizational attributes can be either control oriented or flexibility

  14. Attributability of health effects at low radiation doses

    International Nuclear Information System (INIS)

    Gonzalez, Abel

    2008-01-01

    Full text: A controversy still persists on whether health effects can be alleged from radiation exposure situations involving low radiation doses (e.g. below the international dose limits for the public). Arguments have evolved around the validity of the dose-response representation that is internationally used for radiation protection purposes, namely the so-called linear-non-threshold (LNT) model. The debate has been masked by the intrinsic randomness of radiation interaction at the cellular level and also by gaps in the relevant scientific knowledge on the development and expression of health effects. There has also been a vague use, abuse, and misuse of radiation-related risk concepts and quantities and their associated uncertainties. As a result, there is some ambiguity in the interpretation of the phenomena and a general lack of awareness of the implications for a number of risk-causation qualities, namely its attributes and characteristics. In particular, the LNT model has been used not only for protection purposes but also for blindly attributing actual effects to specific exposure situations. The latter has been discouraged as being a misuse of the model, but the supposed incorrectness has not been clearly proven. The paper will endeavour to demonstrate unambiguously the following thesis in relation to health effects due to low radiation doses: 1) Their existence is highly plausible. A number of epidemiological statistical assessments of sufficiently large exposed populations show that, under certain conditions, the prevalence of the effects increases with dose. From these assessments, it can be hypothesized that the occurrence of the effects at any dose, however small, appears decidedly worthy of belief. While strictly the evidence does not allow to conclude that a threshold dose level does not exist either. In fact, a formal quantitative uncertainty analysis, combining the different uncertain components of estimated radiation-related risk, with and

  15. Attributability of Health Effects at Low Radiation Doses

    International Nuclear Information System (INIS)

    Gonzalez, A.J.

    2011-01-01

    Full text: A controversy still persists on whether health effects can be alleged from radiation exposure situations involving low radiation doses (e.g. below the international dose limits for the public). Arguments have evolved around the validity of the dose response representation that is internationally used for radiation protection purposes, namely the so-called linear-non-threshold (LNT) model. The debate has been masked by the intrinsic randomness of radiation interaction at the cellular level and also by gaps in the relevant scientific knowledge on the development and expression of health effects. There has also been a vague use, abuse, and misuse of radiation-related risk concepts and quantities and their associated uncertainties. As a result, there is some ambiguity in the interpretation of the phenomena and a general lack of awareness of the implications for a number of risk-causation qualities, namely its attributes and characteristics. In particular, the LNT model has been used not only for protection purposes but also for blindly attributing actual effects to specific exposure situations. The latter has been discouraged as being a misuse of the model, but the supposed incorrectness has not been clearly proven. The paper will endeavour to demonstrate unambiguously the following thesis in relation to health effects due to low radiation doses: (i) Their existence is highly plausible. A number of epidemiological statistical assessments of sufficiently large exposed populations show that, under certain conditions, the prevalence of the effects increases with dose. From these assessments, it can be hypothesized that the occurrence of the effects at any dose, however small, appears decidedly worthy of belief. While strictly the evidence does not allow to conclude that a threshold dose level does not exist either In fact, a formal quantitative uncertainty analysis, combining the different uncertain components of estimated radiation-related risk, with and

  16. Fundamental(ist) attribution error: Protestants are dispositionally focused.

    Science.gov (United States)

    Li, Yexin Jessica; Johnson, Kathryn A; Cohen, Adam B; Williams, Melissa J; Knowles, Eric D; Chen, Zhansheng

    2012-02-01

    Attribution theory has long enjoyed a prominent role in social psychological research, yet religious influences on attribution have not been well studied. We theorized and tested the hypothesis that Protestants would endorse internal attributions to a greater extent than would Catholics, because Protestantism focuses on the inward condition of the soul. In Study 1, Protestants made more internal, but not external, attributions than did Catholics. This effect survived controlling for Protestant work ethic, need for structure, and intrinsic and extrinsic religiosity. Study 2 showed that the Protestant-Catholic difference in internal attributions was significantly mediated by Protestants' greater belief in a soul. In Study 3, priming religion increased belief in a soul for Protestants but not for Catholics. Finally, Study 4 found that experimentally strengthening belief in a soul increased dispositional attributions among Protestants but did not change situational attributions. These studies expand the understanding of cultural differences in attributions by demonstrating a distinct effect of religion on dispositional attributions.

  17. Attributes and descriptors for building performance evaluation

    Directory of Open Access Journals (Sweden)

    S. Gopikrishnan

    2017-12-01

    In order to obtain the right feedback in levels of satisfaction with respect to these attributes, there is a need to have appropriate descriptors for incorporation in a survey instrument. This paper identifies attributes that indicate building performance and provides simple description of these attributes based on which items can be generated for a questionnaire. Such items can enable any user/occupant to easily understand the characteristics of these attributes and offer an objective feedback during questionnaire survey.

  18. A semantic framework to protect the privacy of electronic health records with non-numerical attributes.

    Science.gov (United States)

    Martínez, Sergio; Sánchez, David; Valls, Aida

    2013-04-01

    Structured patient data like Electronic Health Records (EHRs) are a valuable source for clinical research. However, the sensitive nature of such information requires some anonymisation procedure to be applied before releasing the data to third parties. Several studies have shown that the removal of identifying attributes, like the Social Security Number, is not enough to obtain an anonymous data file, since unique combinations of other attributes as for example, rare diagnoses and personalised treatments, may lead to patient's identity disclosure. To tackle this problem, Statistical Disclosure Control (SDC) methods have been proposed to mask sensitive attributes while preserving, up to a certain degree, the utility of anonymised data. Most of these methods focus on continuous-scale numerical data. Considering that part of the clinical data found in EHRs is expressed with non-numerical attributes as for example, diagnoses, symptoms, procedures, etc., their application to EHRs produces far from optimal results. In this paper, we propose a general framework to enable the accurate application of SDC methods to non-numerical clinical data, with a focus on the preservation of semantics. To do so, we exploit structured medical knowledge bases like SNOMED CT to propose semantically-grounded operators to compare, aggregate and sort non-numerical terms. Our framework has been applied to several well-known SDC methods and evaluated using a real clinical dataset with non-numerical attributes. Results show that the exploitation of medical semantics produces anonymised datasets that better preserve the utility of EHRs. Copyright © 2012 Elsevier Inc. All rights reserved.

  19. SOA: A Quality Attribute Perspective

    Science.gov (United States)

    2011-06-23

    in software engineering from CMU. 6June 2011 Twitter #seiwebinar © 2011 Carnegie Mellon University Agenda Service -Oriented Architecture and... Software Architecture: Review Service -Orientation and Quality Attributes Summary and Future Challenges 7June 2011 Twitter #seiwebinar © 2011...Architecture and Software Architecture: Review Service -Orientation and Quality Attributes Summary and Future Challenges Review 10June 2011 Twitter

  20. RAVEN AND THE CENTER OF MAFFEI 1: MULTI-OBJECT ADAPTIVE OPTICS OBSERVATIONS OF THE CENTER OF A NEARBY ELLIPTICAL GALAXY AND THE DETECTION OF AN INTERMEDIATE AGE POPULATION

    Energy Technology Data Exchange (ETDEWEB)

    Davidge, T. J.; Andersen, D. R. [Dominion Astrophysical Observatory, National Research Council of Canada, 5071 West Saanich Road, Victoria, BC V9E 2E7 (Canada); Lardière, O.; Bradley, C.; Blain, C. [Department of Mechanical Engineering, University of Victoria, Victoria, BC V8W 3P2 (Canada); Oya, S. [Subaru Telescope, National Optical Observatory of Japan Hilo, HI 96720 (United States); Akiyama, M.; Ono, Y. H., E-mail: tim.davidge@nrc.ca, E-mail: david.andersen@nrc.ca, E-mail: lardiere@uvic.ca, E-mail: cbr@uvic.ca, E-mail: celia.blain@gmail.com, E-mail: oya@subaru.naoj.org, E-mail: akiyama@astr.tohoku.ac.jp, E-mail: yo-2007@astr.tohoku.ac.jp [Astronomical Institute, Tohoku University 6–3 Aramaki, Aoba-ku, Sedai, 980-8578 Japan (Japan)

    2015-10-01

    Near-infrared (NIR) spectra that have an angular resolution of ∼0.15 arcsec are used to examine the stellar content of the central regions of the nearby elliptical galaxy Maffei 1. The spectra were recorded at the Subaru Telescope, with wavefront distortions corrected by the RAVEN Multi-object Adaptive Optics science demonstrator. The Ballick–Ramsey C{sub 2} absorption bandhead near 1.76 μm is detected, and models in which ∼10%–20% of the light near 1.8 μm originates from stars of spectral type C5 reproduce the depth of this feature. Archival NIR and mid-infrared images are also used to probe the structural and photometric properties of the galaxy. Comparisons with models suggest that an intermediate age population dominates the spectral energy distribution between 1 and 5 μm near the galaxy center. This is consistent not only with the presence of C stars, but also with the large Hβ index that has been measured previously for Maffei 1. The J − K color is more or less constant within 15 arcsec of the galaxy center, suggesting that the brightest red stars are well-mixed in this area.

  1. Beyond knowledge and skills: the use of a Delphi study to develop a technology-mediated teaching strategy.

    Science.gov (United States)

    Rowe, Michael; Frantz, Jose; Bozalek, Vivienne

    2013-04-10

    While there is evidence to suggest that teaching practices in clinical education should include activities that more accurately reflect the real world, many educators base their teaching on transmission models that encourage the rote learning of knowledge and technical skills. Technology-mediated instruction may facilitate the development of professional attributes that go beyond "having" knowledge and skills, but there is limited evidence for how to integrate technology into these innovative teaching approaches. This study used a modified Delphi method to help identify the professional attributes of capable practitioners, the approaches to teaching that may facilitate the development of these attributes, and finally, how technology could be integrated with those teaching strategies in order to develop capable practitioners. Open-ended questions were used to gather data from three different expert panels, and results were thematically analysed. Clinical educators should not view knowledge, skills and attitudes as a set of products of learning, but rather as a set of attributes that are developed during a learning process. Participants highlighted the importance of continuing personal and professional development that emphasised the role of values and emotional response to the clinical context. To develop these attributes, clinical educators should use teaching activities that are learner-centred, interactive, integrated, reflective and that promote engagement. When technology-mediated teaching activities are considered, they should promote the discussion of clinical encounters, facilitate the sharing of resources and experiences, encourage reflection on the learning process and be used to access content outside the classroom. In addition, educational outcomes must drive the integration of technology into teaching practice, rather than the features of the technology. There is a need for a cultural change in clinical education, in which those involved with the

  2. Relational vs. attributive interpretation of nominal compounds differentially engages angular gyrus and anterior temporal lobe.

    Science.gov (United States)

    Boylan, Christine; Trueswell, John C; Thompson-Schill, Sharon L

    2017-06-01

    The angular gyrus (AG) and anterior temporal lobe (ATL) have been found to respond to a number of tasks involving combinatorial processing. In this study, we investigate the conceptual combination of nominal compounds, and ask whether ATL/AG activity is modulated by the type of combinatorial operation applied to a nominal compound. We compare relational and attributive interpretations of nominal compounds and find that ATL and AG both discriminate these two types, but in distinct ways. While right AG demonstrated greater positive task-responsive activity for relational compounds, there was a greater negative deflection in the BOLD response in left AG for relational compounds. In left ATL, we found an earlier peak in subjects' BOLD response curves for attributive interpretations. In other words, we observed dissociations in both AG and ATL between relational and attributive nominal compounds, with regard to magnitude in the former and to timing in the latter. These findings expand on prior studies that posit roles for both AG and ATL in conceptual processing generally, and in conceptual combination specifically, by indicating possible functional specializations of these two regions within a larger conceptual knowledge network. Copyright © 2017 Elsevier Inc. All rights reserved.

  3. How do people attribute income-related inequalities in health? A cross-sectional study in Ontario, Canada.

    Directory of Open Access Journals (Sweden)

    Aisha Lofters

    Full Text Available CONTEXT: Substantive equity-focused policy changes in Ontario, Canada have yet to be realized and may be limited by a lack of widespread public support. An understanding of how the public attributes inequalities can be informative for developing widespread support. Therefore, the objectives of this study were to examine how Ontarians attribute income-related health inequalities. METHODS: We conducted a telephone survey of 2,006 Ontarians using random digit dialing. The survey included thirteen questions relevant to the theme of attributions of income-related health inequalities, with each statement linked to a known social determinant of health. The statements were further categorized depending on whether the statement was framed around blaming the poor for health inequalities, the plight of the poor as a cause of health inequalities, or the privilege of the rich as a cause of health inequalities. RESULTS: There was high agreement for statements that attributed inequalities to differences between the rich and the poor in terms of employment, social status, income and food security, and conversely, the least agreement for statements that attributed inequalities to differences in terms of early childhood development, social exclusion, the social gradient and personal health practices and coping skills. Mean agreement was lower for the two statements that suggested blame for income-related health inequalities lies with the poor (43.1% than for the three statements that attributed inequalities to the plight of the poor (58.3% or the eight statements that attributed inequalities to the privilege of the rich (58.7%. DISCUSSION: A majority of this sample of Ontarians were willing to attribute inequalities to the social determinants of health, and were willing to accept messages that framed inequalities around the privilege of the rich or the plight of the poor. These findings will inform education campaigns, campaigns aimed at increasing public support

  4. Assessing brand image through communalities and asymmetries in brand-to-attribute and attribute-to-brand associations

    NARCIS (Netherlands)

    Torres, Anna; Bijmolt, Tarnmo H. A.

    2009-01-01

    Brand image is a key component of customer-based brand equity, and refers to the associations a consumer holds in memory. Such associations are often directional; one should distinguish between brand-to-attribute and attribute-to-brand associations, Information on these associations arise from two

  5. Consumer preferences and willingness to pay for value-added chicken product attributes.

    Science.gov (United States)

    Martínez Michel, Lorelei; Anders, Sven; Wismer, Wendy V

    2011-10-01

    A growing demand for convenient and ready-to-eat products has increased poultry processors' interest in developing consumer-oriented value-added chicken products. In this study, a conjoint analysis survey of 276 chicken consumers in Edmonton was conducted during the summer of 2009 to assess the importance of the chicken part, production method, processing method, storage method, the presence of added flavor, and cooking method on consumer preferences for different value-added chicken product attributes. Estimates of consumer willingness to pay (WTP) premium prices for different combinations of value-added chicken attributes were also determined. Participants'"ideal" chicken product was a refrigerated product made with free-range chicken breast, produced with no additives or preservatives and no added flavor, which could be oven heated or pan heated. Half of all participants on average were willing to pay 30% more for a value-added chicken product over the price of a conventional product. Overall, young consumers, individuals who shop at Farmers' Markets and those who prefer free-range or organic products were more likely to pay a premium for value-added chicken products. As expected, consumers' WTP was affected negatively by product price. Combined knowledge of consumer product attribute preferences and consumer WTP for value-added chicken products can help the poultry industry design innovative value-added chicken products. Practical Application:  An optimum combination of product attributes desired by consumers for the development of a new value-added chicken product, as well as the WTP for this product, have been identified in this study. This information is relevant to the poultry industry to enhance consumer satisfaction of future value-added chicken products and provide the tools for future profit growth. © 2011 Institute of Food Technologists®

  6. Discriminative power of visual attributes in dermatology.

    Science.gov (United States)

    Giotis, Ioannis; Visser, Margaretha; Jonkman, Marcel; Petkov, Nicolai

    2013-02-01

    Visual characteristics such as color and shape of skin lesions play an important role in the diagnostic process. In this contribution, we quantify the discriminative power of such attributes using an information theoretical approach. We estimate the probability of occurrence of each attribute as a function of the skin diseases. We use the distribution of this probability across the studied diseases and its entropy to define the discriminative power of the attribute. The discriminative power has a maximum value for attributes that occur (or do not occur) for only one disease and a minimum value for those which are equally likely to be observed among all diseases. Verrucous surface, red and brown colors, and the presence of more than 10 lesions are among the most informative attributes. A ranking of attributes is also carried out and used together with a naive Bayesian classifier, yielding results that confirm the soundness of the proposed method. proposed measure is proven to be a reliable way of assessing the discriminative power of dermatological attributes, and it also helps generate a condensed dermatological lexicon. Therefore, it can be of added value to the manual or computer-aided diagnostic process. © 2012 John Wiley & Sons A/S.

  7. Source Attribution of Methane Emissions in Northeastern Colorado Using Ammonia to Methane Emission Ratios

    Science.gov (United States)

    Eilerman, S. J.; Neuman, J. A.; Peischl, J.; Aikin, K. C.; Ryerson, T. B.; Perring, A. E.; Robinson, E. S.; Holloway, M.; Trainer, M.

    2015-12-01

    Due to recent advances in extraction technology, oil and natural gas extraction and processing in the Denver-Julesburg basin has increased substantially in the past decade. Northeastern Colorado is also home to over 250 concentrated animal feeding operations (CAFOs), capable of hosting over 2 million head of ruminant livestock (cattle and sheep). Because of methane's high Global Warming Potential, quantification and attribution of methane emissions from oil and gas development and agricultural activity are important for guiding greenhouse gas emission policy. However, due to the co-location of these different sources, top-down measurements of methane are often unable to attribute emissions to a specific source or sector. In this work, we evaluate the ammonia:methane emission ratio directly downwind of CAFOs using a mobile laboratory. Several CAFOs were chosen for periodic study over a 12-month period to identify diurnal and seasonal variation in the emission ratio as well as differences due to livestock type. Using this knowledge of the agricultural ammonia:methane emission ratio, aircraft measurements of ammonia and methane over oil and gas basins in the western US during the Shale Oil and Natural Gas Nexus (SONGNEX) field campaign in March and April 2015 can be used for source attribution of methane emissions.

  8. The Attribute for Hydrocarbon Prediction Based on Attenuation

    International Nuclear Information System (INIS)

    Hermana, Maman; Harith, Z Z T; Sum, C W; Ghosh, D P

    2014-01-01

    Hydrocarbon prediction is a crucial issue in the oil and gas industry. Currently, the prediction of pore fluid and lithology are based on amplitude interpretation which has the potential to produce pitfalls in certain conditions of reservoir. Motivated by this fact, this work is directed to find out other attributes that can be used to reduce the pitfalls in the amplitude interpretation. Some seismic attributes were examined and studies showed that the attenuation attribute is a better attribute for hydrocarbon prediction. Theoretically, the attenuation mechanism of wave propagation is associated with the movement of fluid in the pore; hence the existence of hydrocarbon in the pore will be represented by attenuation attribute directly. In this paper we evaluated the feasibility of the quality factor ratio of P-wave and S-wave (Qp/Qs) as hydrocarbon indicator using well data and also we developed a new attribute based on attenuation for hydrocarbon prediction -- Normalized Energy Reduction Stack (NERS). To achieve these goals, this work was divided into 3 main parts; estimating the Qp/Qs on well log data, testing the new attribute in the synthetic data and applying the new attribute on real data in Malay Basin data. The result show that the Qp/Qs is better than Poisson's ratio and Lamda over Mu as hydrocarbon indicator. The curve, trend analysis and contrast of Qp/Qs is more powerful at distinguishing pore fluid than Poisson ratio and Lamda over Mu. The NERS attribute was successful in distinguishing the hydrocarbon from brine on synthetic data. Applying this attribute on real data on Malay basin, the NERS attribute is qualitatively conformable with the structure and location where the gas is predicted. The quantitative interpretation of this attribute for hydrocarbon prediction needs to be investigated further

  9. Noncognitive Attributes in Physician Assistant Education.

    Science.gov (United States)

    Brenneman, Anthony E; Goldgar, Constance; Hills, Karen J; Snyder, Jennifer H; VanderMeulen, Stephane P; Lane, Steven

    2018-03-01

    Physician assistant (PA) admissions processes have typically given more weight to cognitive attributes than to noncognitive ones, both because a high level of cognitive ability is needed for a career in medicine and because cognitive factors are easier to measure. However, there is a growing consensus across the health professions that noncognitive attributes such as emotional intelligence, empathy, and professionalism are important for success in clinical practice and optimal care of patients. There is also some evidence that a move toward more holistic admissions practices, including evaluation of noncognitive attributes, can have a positive effect on diversity. The need for these noncognitive attributes in clinicians is being reinforced by changes in the US health care system, including shifting patient demographics and a growing emphasis on team-based care and patient satisfaction, and the need for clinicians to help patients interpret complex medical information. The 2016 Physician Assistant Education Association Stakeholder Summit revealed certain behavioral and affective qualities that employers of PAs value and sometimes find lacking in new graduates. Although there are still gaps in the evidence base, some tools and technologies currently exist to more accurately measure noncognitive variables. We propose some possible strategies and tools that PA programs can use to formalize the way they select for noncognitive attributes. Since PA programs have, on average, only 27 months to educate students, programs may need to focus more resources on selecting for these attributes than teaching them.

  10. State-level Medicaid expenditures attributable to smoking.

    Science.gov (United States)

    Armour, Brian S; Finkelstein, Eric A; Fiebelkorn, Ian C

    2009-07-01

    Medicaid recipients are disproportionately affected by tobacco-related disease because their smoking prevalence is approximately 53% greater than that of the overall US adult population. This study estimates state-level smoking-attributable Medicaid expenditures. We used state-level and national data and a 4-part econometric model to estimate the fraction of each state's Medicaid expenditures attributable to smoking. These fractions were multiplied by state-level Medicaid expenditure estimates obtained from the Centers for Medicare and Medicaid Services to estimate smoking-attributable expenditures. The smoking-attributable fraction for all states was 11.0% (95% confidence interval, 0.4%-17.0%). Medicaid smoking-attributable expenditures ranged from $40 million (Wyoming) to $3.3 billion (New York) in 2004 and totaled $22 billion nationwide. Cigarette smoking accounts for a sizeable share of annual state Medicaid expenditures. To reduce smoking prevalence among recipients and the growth rate in smoking-attributable Medicaid expenditures, state health departments and state health plans such as Medicaid are encouraged to provide free or low-cost access to smoking cessation counseling and medication.

  11. Attribution bias and social anxiety in schizophrenia

    Directory of Open Access Journals (Sweden)

    Amelie M. Achim

    2016-06-01

    Full Text Available Studies on attribution biases in schizophrenia have produced mixed results, whereas such biases have been more consistently reported in people with anxiety disorders. Anxiety comorbidities are frequent in schizophrenia, in particular social anxiety disorder, which could influence their patterns of attribution biases. The objective of the present study was thus to determine if individuals with schizophrenia and a comorbid social anxiety disorder (SZ+ show distinct attribution biases as compared with individuals with schizophrenia without social anxiety (SZ− and healthy controls. Attribution biases were assessed with the Internal, Personal, and Situational Attributions Questionnaire in 41 individual with schizophrenia and 41 healthy controls. Results revealed the lack of the normal externalizing bias in SZ+, whereas SZ− did not significantly differ from healthy controls on this dimension. The personalizing bias was not influenced by social anxiety but was in contrast linked with delusions, with a greater personalizing bias in individuals with current delusions. Future studies on attribution biases in schizophrenia should carefully document symptom presentation, including social anxiety.

  12. Attributing human foodborne illness to food sources and water in Latin America and the Caribbean using data from outbreak investigations

    DEFF Research Database (Denmark)

    Pires, Sara Monteiro; Vieira, Antonio; Perez, Enrique

    2012-01-01

    &C). Foods implicated in outbreaks were classified by their ingredients as simple foods (i.e. belonging to one single food category), or complex foods (i.e. belonging to multiple food categories). For each agent, the data from simple-food outbreaks were summarized, and the proportion of outbreaks caused...... by each category was used to define the probability that an outbreak was caused by a source. For the calculation of the number of outbreaks attributed to each source, simple-food outbreaks were attributed to the single food category in question, and complex-food outbreaks were partitioned to each category......Foodborne pathogens are responsible for an increasing burden of disease worldwide. Knowledge on the contribution of different food sources and water for disease is essential to prioritize food safety interventions and implement appropriate control measures. Source attribution using outbreak data...

  13. Fuzzy Linguistic Optimization on Multi-Attribute Machining

    Directory of Open Access Journals (Sweden)

    Tian-Syung Lan

    2010-06-01

    Full Text Available Most existing multi-attribute optimization researches for the modern CNC (computer numerical control turning industry were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme proposed is deemed to be necessary for the industry. In this paper, four parameters (cutting depth, feed rate, speed, tool nose runoff with three levels (low, medium, high are considered to optimize the multi-attribute (surface roughness, tool wear, and material removal rate finish turning. Through FAHP (Fuzzy Analytic Hierarchy Process with eighty intervals for each attribute, the weight of each attribute is evaluated from the paired comparison matrix constructed by the expert judgment. Additionally, twenty-seven fuzzy control rules using trapezoid membership function with respective to seventeen linguistic grades for each attribute are constructed. Considering thirty input and eighty output intervals, the defuzzifierion using center of gravity is thus completed. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution is moreover utilized to integrate and evaluate the multiple machining attributes for the Taguchi experiment, and thus the optimum general deduction parameters can then be received. The confirmation experiment for optimum general deduction parameters is furthermore performed on an ECOCA-3807 CNC lathe. It is shown that the attributes from the fuzzy linguistic optimization parameters are all significantly advanced comparing to those from benchmark. This paper not only proposes a general deduction optimization scheme using orthogonal array, but also contributes the satisfactory fuzzy linguistic approach for multiple CNC turning attributes with profound insight.

  14. A Chance for Attributable Agency.

    Science.gov (United States)

    Briegel, Hans J; Müller, Thomas

    Can we sensibly attribute some of the happenings in our world to the agency of some of the things around us? We do this all the time, but there are conceptual challenges purporting to show that attributable agency, and specifically one of its most important subspecies, human free agency, is incoherent. We address these challenges in a novel way: rather than merely rebutting specific arguments, we discuss a concrete model that we claim positively illustrates attributable agency in an indeterministic setting. The model, recently introduced by one of the authors in the context of artificial intelligence, shows that an agent with a sufficiently complex memory organization can employ indeterministic happenings in a meaningful way. We claim that these considerations successfully counter arguments against the coherence of libertarian (indeterminism-based) free will.

  15. New engineering: from knowledge to competences

    Science.gov (United States)

    Cartagena, M. C.; Tarquis, A. M.; Arce, A.

    2009-04-01

    One of the main innovations of Bologna system has been to link learning outcomes, ECTS workload based credits and competences. Competences represent a dynamic combination of knowledge, understanding, skills and abilities. Competences can be distinguished in subject specific and generic ones (instrumental, interpersonal and systemic competences). Actually in Spain Engineering degrees are changing to the new University educational system and should aim to satisfy the real needs of European society. This change has been long and complex, particularly. on the issue that have influenced curricular change Consultation with "actors" and "stakeholders", the definition of academic and professionals profiles and the translation of these into desired learning outcomes. Generic competences or transferable skills are relevant for preparing students well for their future role in society in terms of employability and citizenship. The criteria used by the companies to select their engineers are based in a good background and capacity to adapt and to acquire new knowledge, better than specific education, even postgraduate. It was interesting to note the great importance of generic competences However, Spanish government has regulated conditions of core curriculum need for to guarantee the acquisition of the competences needs to exercise the correspondent professional activities. The new degrees should comply with the core curriculum if the graduates want maintain the legal attributions guaranteed actually by the Spanish Professional Associations. After these degrees, students can access to professional master with actually horizontal attributions of regulated professions.

  16. Anonymous Credential Schemes with Encrypted Attributes

    NARCIS (Netherlands)

    Guajardo Merchan, J.; Mennink, B.; Schoenmakers, B.

    2011-01-01

    In anonymous credential schemes, users obtain credentials on certain attributes from an issuer, and later show these credentials to a relying party anonymously and without fully disclosing the attributes. In this paper, we introduce the notion of (anonymous) credential schemes with encrypted

  17. Knowledge Transfer Services

    Directory of Open Access Journals (Sweden)

    Albert Simard

    2009-03-01

    Full Text Available Le présent article décrit un modèle visant à faciliter la compréhension du processus de transfert du contenu depuis sa source jusqu’à son utilisation. Un groupe de travail de Ressources naturelles Canada a étudié la nature du transfert des savoirs à l’aide d’un modèle de services, afin de découvrir et comprendre les modèles et processus sous-jacents. Les services de savoir sont des programmes qui créent et fournissent des produits organisationnels basés sur un contenu et ayant une valeur intégrée. Ces programmes sont destinés à être utilisés en interne ou transférés pour répondre aux souhaits et besoins d’un utilisateur externe. Les critères de conception du modèle sont les suivants : indépendance par rapport au contenu, concentration sur l’organisation, évolutivité, deux pilotes et deux niveaux de résolution. Le modèle est basé sur une chaîne de valeur dans laquelle la valeur est intégrée, déplacée ou extraite. Un système de services de savoir se divise en neuf étapes : générer, transformer, gérer, utiliser en interne, transférer, ajouter de la valeur, utiliser professionnellement, utiliser personnellement et évaluer. Les services de savoir sont fournis par l’intermédiaire d’un spectre de distribution allant de complexe à accessible. À chaque région du spectre de distribution correspond une série d’attributs qui influencent la manière dont les services sont fournis.This paper describes a model intended to increase understanding of how content is transferred from its source to its use. A Natural Resources Canada task group explored the nature of knowledge transfer with a services paradigm to discover and understand underlying patterns and processes. Knowledge Services are programs that produce and pro-vide content-based organizational outputs with embedded value that are intended to be used internally or transferred to meet external user wants or needs. Model design criteria

  18. Development and Validation of the Masculine Attributes Questionnaire.

    Science.gov (United States)

    Cho, Junhan; Kogan, Steven M

    2017-07-01

    The present study describes the development and validation of the Masculine Attributes Questionnaire (MAQ). The purpose of this study was to develop a theoretically and empirically grounded measure of masculine attributes for sexual health research with African American young men. Consistent with Whitehead's theory, the MAQ items were hypothesized to comprise two components representing reputation-based and respect-based attributes. The sample included 505 African American men aged 19 to 22 years ( M = 20.29, SD = 1.10) living in resource-poor communities in the rural South. Convergent and discriminant validity of the MAQ were assessed by examining the associations of masculinity attributes with psychosocial factors. Criterion validity was assessed by examining the extent to which the MAQ subscales predicted sexual risk behavior outcomes. Consistent with study hypotheses, the MAQ was composed of (a) reputation-based attributes oriented toward sexual prowess, toughness, and authority-defying behavior and (b) respect-based attributes oriented toward economic independence, socially approved levels of hard work and education, and committed romantic relationships. Reputation-based attributes were associated positively with street code and negatively related to academic orientation, vocational engagement, and self-regulation, whereas respect-based attributes were associated positively with academic and vocational orientations and self-regulation. Finally, reputation-based attributes predicted sexual risk behaviors including concurrent sexual partnerships, multiple sexual partners, marijuana use, and incarceration, net of the influence of respect-based attributes. The development of the MAQ provides a new measure that permits systematic quantitative investigation of the associations between African American men's masculinity ideology and sexual risk behavior.

  19. Status on the Development of a Modeling and Simulation Framework for the Economic Assessment of Nuclear Hybrid Energy

    International Nuclear Information System (INIS)

    Epiney, Aaron Simon; Chen, Jun; Rabiti, Cristian

    2016-01-01

    Continued effort to design and build a modeling and simulation framework to assess the economic viability of Nuclear Hybrid Energy Systems (NHES) was undertaken in fiscal year (FY) 2016. The purpose of this report is to document the various tasks associated with the development of such a framework and to provide a status of their progress. Several tasks have been accomplished. First, a synthetic time history generator has been developed in RAVEN, which consists of Fourier series and autoregressive moving average model. The former is used to capture the seasonal trend in historical data, while the latter is to characterize the autocorrelation in residue time series (e.g., measurements with seasonal trends subtracted). As demonstration, both synthetic wind speed and grid demand are generated, showing matching statistics with database. In order to build a design and operations optimizer in RAVEN, a new type of sampler has been developed with highly object-oriented design. In particular, simultaneous perturbation stochastic approximation algorithm is implemented. The optimizer is capable to drive the model to optimize a scalar objective function without constraint in the input space, while the constraints handling is a work in progress and will be implemented to improve the optimization capability. Furthermore, a simplified cash flow model of the performance of an NHES in the electric market has been developed in Python and used as external model in RAVEN to confirm expectations on the analysis capability of RAVEN to provide insight into system economics and to test the capability of RAVEN to identify limit surfaces. Finally, an example calculation is performed that shows the integration and proper data passing in RAVEN of the synthetic time history generator, the cash flow model and the optimizer. It has been shown that the developed Python models external to RAVEN are able to communicate with RAVEN and each other through the newly developed RAVEN capability called “EnsembleModel”.

  20. Status on the Development of a Modeling and Simulation Framework for the Economic Assessment of Nuclear Hybrid Energy

    Energy Technology Data Exchange (ETDEWEB)

    Epiney, Aaron Simon [Idaho National Lab. (INL), Idaho Falls, ID (United States); Chen, Jun [Idaho National Lab. (INL), Idaho Falls, ID (United States); Rabiti, Cristian [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2016-09-01

    Continued effort to design and build a modeling and simulation framework to assess the economic viability of Nuclear Hybrid Energy Systems (NHES) was undertaken in fiscal year (FY) 2016. The purpose of this report is to document the various tasks associated with the development of such a framework and to provide a status of their progress. Several tasks have been accomplished. First, a synthetic time history generator has been developed in RAVEN, which consists of Fourier series and autoregressive moving average model. The former is used to capture the seasonal trend in historical data, while the latter is to characterize the autocorrelation in residue time series (e.g., measurements with seasonal trends subtracted). As demonstration, both synthetic wind speed and grid demand are generated, showing matching statistics with database. In order to build a design and operations optimizer in RAVEN, a new type of sampler has been developed with highly object-oriented design. In particular, simultaneous perturbation stochastic approximation algorithm is implemented. The optimizer is capable to drive the model to optimize a scalar objective function without constraint in the input space, while the constraints handling is a work in progress and will be implemented to improve the optimization capability. Furthermore, a simplified cash flow model of the performance of an NHES in the electric market has been developed in Python and used as external model in RAVEN to confirm expectations on the analysis capability of RAVEN to provide insight into system economics and to test the capability of RAVEN to identify limit surfaces. Finally, an example calculation is performed that shows the integration and proper data passing in RAVEN of the synthetic time history generator, the cash flow model and the optimizer. It has been shown that the developed Python models external to RAVEN are able to communicate with RAVEN and each other through the newly developed RAVEN capability called “EnsembleModel”.

  1. Income inequality and alcohol attributable harm in Australia

    Directory of Open Access Journals (Sweden)

    Chikritzhs Tanya N

    2009-02-01

    Full Text Available Abstract Background There is little research on the relationship between key socioeconomic variables and alcohol related harms in Australia. The aim of this research was to examine the relationship between income inequality and the rates of alcohol-attributable hospitalisation and death at a local-area level in Australia. Method We conducted a cross sectional ecological analysis at a Local Government Area (LGA level of associations between data on alcohol caused harms and income inequality data after adjusting for socioeconomic disadvantage and remoteness of LGAs. The main outcome measures used were matched rate ratios for four measures of alcohol caused harm; acute (primarily related to the short term consequences of drinking and chronic (primarily related to the long term consequences of drinking alcohol-attributable hospitalisation and acute and chronic alcohol-attributable death. Matching was undertaken using control conditions (non-alcohol-attributable at an LGA level. Results A total of 885 alcohol-attributable deaths and 19467 alcohol-attributable hospitalisations across all LGAs were available for analysis. After weighting by the total number of cases in each LGA, the matched rate ratios of acute and chronic alcohol-attributable hospitalisation and chronic alcohol-attributable death were associated with the squared centred Gini coefficients of LGAs. This relationship was evident after adjusting for socioeconomic disadvantage and remoteness of LGAs. For both measures of hospitalisation the relationship was curvilinear; increases in income inequality were initially associated with declining rates of hospitalisation followed by large increases as the Gini coefficient increased beyond 0.15. The pattern for chronic alcohol-attributable death was similar, but without the initial decrease. There was no association between income inequality and acute alcohol-attributable death, probably due to the relatively small number of these types of death

  2. Selection of key terrain attributes for SOC model

    DEFF Research Database (Denmark)

    Greve, Mogens Humlekrog; Adhikari, Kabindra; Chellasamy, Menaka

    As an important component of the global carbon pool, soil organic carbon (SOC) plays an important role in the global carbon cycle. SOC pool is the basic information to carry out global warming research, and needs to sustainable use of land resources. Digital terrain attributes are often use...... was selected, total 2,514,820 data mining models were constructed by 71 differences grid from 12m to 2304m and 22 attributes, 21 attributes derived by DTM and the original elevation. Relative importance and usage of each attributes in every model were calculated. Comprehensive impact rates of each attribute...

  3. Zirconium-barrier cladding attributes

    International Nuclear Information System (INIS)

    Rosenbaum, H.S.; Rand, R.A.; Tucker, R.P.; Cheng, B.; Adamson, R.B.; Davies, J.H.; Armijo, J.S.; Wisner, S.B.

    1987-01-01

    This metallurgical study of Zr-barrier fuel cladding evaluates the importance of three salient attributes: (1) metallurgical bond between the zirconium liner and the Zircaloy substrate, (2) liner thickness (roughly 10% of the total cladding wall), and (3) softness (purity). The effect that each of these attributes has on the pellet-cladding interaction (PCI) resistance of the Zr-barrier fuel was studied by a combination of analytical model calculations and laboratory experiments using an expanding mandrel technique. Each of the attributes is shown to contribute to PCI resistance. The effect of the zirconium liner on fuel behavior during off-normal events in which steam comes in contact with the zirconium surface was studied experimentally. Simulations of loss-of-coolant accident (LOCA) showed that the behavior of Zr-barrier cladding is virtually indistinguishable from that of conventional Zircaloy cladding. If steam contacts the zirconium liner surface through a cladding perforation and the fuel rod is operated under normal power conditions, the zirconium liner is oxidized more rapidly than is Zircaloy, but the oxidation rate returns to the rate of Zircaloy oxidation when the oxide phase reaches the zirconium-Zircaloy metallurgical bond

  4. Robust automated knowledge capture.

    Energy Technology Data Exchange (ETDEWEB)

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  5. Consumers’ knowledge of and attitudes toward the role of oak in winemaking

    Directory of Open Access Journals (Sweden)

    Crump AM

    2014-10-01

    Full Text Available Anna M Crump,1 Trent E Johnson,1 Susan EP Bastian,1 Johan Bruwer,1,2 Kerry L Wilkinson1 1School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA, Australia; 2Ehrenberg-Bass Institute, The University of South Australia, Adelaide, SA, Australia Abstract: Oak plays an important role in the production of some white wines and most red wines. Yet, consumers’ knowledge of the use of oak in winemaking and their preference for oak-related sensory attributes remains unclear. This study examined the knowledge and attitudes of 1,015 Australian wine consumers toward the use of oak in winemaking. Consumers who indicated a liking of oak-aged wines (n=847 were segmented according to their knowledge of the role of oak in wine production. Four distinct consumer clusters were identified, with significantly different preferences for wine sensory attributes and opinions regarding the use of oak alternatives for wine maturation. One segment comprised more knowledgeable consumers, who appreciate and value traditional oak maturation regimes, for which they are willing to pay a premium price. However, a segment comprising less knowledgeable wine consumers was accepting of the use of oak chips, provided wine quality was not compromised. Winemakers can therefore justify the use of oak alternatives to achieve oak-aged wines at lower price points. The outcomes of this study can be used by winemakers to better tailor their wines to the specific needs and expectations of consumers within different segments of the market. Keywords: maturation, segmentation, wine, wine consumers

  6. Quality attributes for mobile applications

    OpenAIRE

    Fernandes, João M.; Ferreira, André Leite

    2016-01-01

    A mobile application is a type of software application developed to run on a mobile device. The chapter discusses the main characteristics of mobile devices, since they have a great impact on mobile applications. It also presents the classification of mobile applications according to two main types: native and web-based applications. Finally, this chapter identifies the most relevant types of quality attributes for mobile applications. It shows that the relevant quality attributes for mobile ...

  7. Detection and attribution of observed impacts

    NARCIS (Netherlands)

    Cramer, W.; Yohe, G.W.; Auffhammer, M.; Huggel, C.; Molau, U.; Dias, M.A.F.S.; Leemans, R.

    2014-01-01

    This chapter synthesizes the scientific literature on the detection and attribution of observed changes in natural and human systems in response to observed recent climate change. For policy makers and the public, detection and attribution of observed impacts will be a key element to determine the

  8. Development of the Attributed Dignity Scale.

    Science.gov (United States)

    Jacelon, Cynthia S; Dixon, Jane; Knafl, Kathleen A

    2009-07-01

    A sequential, multi-method approach to instrument development beginning with concept analysis, followed by (a) item generation from qualitative data, (b) review of items by expert and lay person panels, (c) cognitive appraisal interviews, (d) pilot testing, and (e) evaluating construct validity was used to develop a measure of attributed dignity in older adults. The resulting positively scored, 23-item scale has three dimensions: Self-Value, Behavioral Respect-Self, and Behavioral Respect-Others. Item-total correlations in the pilot study ranged from 0.39 to 0.85. Correlations between the Attributed Dignity Scale (ADS) and both Rosenberg's Self-Esteem Scale (0.17) and Crowne and Marlowe's Social Desirability Scale (0.36) were modest and in the expected direction, indicating attributed dignity is a related but independent concept. Next steps include testing the ADS with a larger sample to complete factor analysis, test-retest stability, and further study of the relationships between attributed dignity and other concepts.

  9. Interpersonal reactivity and the attribution of emotional reactions.

    Science.gov (United States)

    Haas, Brian W; Anderson, Ian W; Filkowski, Megan M

    2015-06-01

    The ability to identify the cause of another person's emotional reaction is an important component associated with improved success of social relationships and survival. Although many studies have investigated the mechanisms involved in emotion recognition, very little is currently known regarding the processes involved during emotion attribution decisions. Research on complementary "emotion understanding" mechanisms, including empathy and theory of mind, has demonstrated that emotion understanding decisions are often made through relatively emotion- or cognitive-based processing streams. The current study was designed to investigate the behavioral and brain mechanisms involved in emotion attribution decisions. We predicted that dual processes, emotional and cognitive, are engaged during emotion attribution decisions. Sixteen healthy adults completed the Interpersonal Reactivity Index to characterize individual differences in tendency to make emotion- versus cognitive-based interpersonal decisions. Participants then underwent functional MRI while making emotion attribution decisions. We found neuroimaging evidence that emotion attribution decisions engage a similar brain network as other forms of emotion understanding. Further, we found evidence in support of a dual processes model involved during emotion attribution decisions. Higher scores of personal distress were associated with quicker emotion attribution decisions and increased anterior insula activity. Conversely, higher scores in perspective taking were associated with delayed emotion attribution decisions and increased prefrontal cortex and premotor activity. These findings indicate that the making of emotion attribution decisions relies on dissociable emotional and cognitive processing streams within the brain. (c) 2015 APA, all rights reserved).

  10. Automated attribution of remotely-sensed ecological disturbances using spatial and temporal characteristics of common disturbance classes.

    Science.gov (United States)

    Cooper, L. A.; Ballantyne, A.

    2017-12-01

    Forest disturbances are critical components of ecosystems. Knowledge of their prevalence and impacts is necessary to accurately describe forest health and ecosystem services through time. While there are currently several methods available to identify and describe forest disturbances, especially those which occur in North America, the process remains inefficient and inaccessible in many parts of the world. Here, we introduce a preliminary approach to streamline and automate both the detection and attribution of forest disturbances. We use a combination of the Breaks for Additive Season and Trend (BFAST) detection algorithm to detect disturbances in combination with supervised and unsupervised classification algorithms to attribute the detections to disturbance classes. Both spatial and temporal disturbance characteristics are derived and utilized for the goal of automating the disturbance attribution process. The resulting preliminary algorithm is applied to up-scaled (100m) Landsat data for several different ecosystems in North America, with varying success. Our results indicate that supervised classification is more reliable than unsupervised classification, but that limited training data are required for a region. Future work will improve the algorithm through refining and validating at sites within North America before applying this approach globally.

  11. Parenting Attributions and Attitudes in Cross-Cultural Perspective

    Science.gov (United States)

    Bornstein, Marc H.; Putnick, Diane L.; Lansford, Jennifer E.

    2011-01-01

    SYNOPSIS Objective This article used the Parenting Across Cultures Project to evaluate similarities and differences in mean levels and relative agreement between mothers’ and fathers’ attributions and attitudes in parenting in 9 countries. Design Mothers and fathers reported their perceptions of causes of successes and failures in caregiving and their progressive versus authoritarian childrearing attitudes. Gender and cultural similarities and differences in parents’ attributions and attitudes in 9 countries were analyzed: China, Colombia, Italy, Jordan, Kenya, the Philippines, Sweden, Thailand, or the United States. Results Although mothers and fathers did not differ in any attribution, mothers reported more progressive parenting attitudes and modernity of childrearing attitudes than did fathers, and fathers reported more authoritarian attitudes than did mothers. Country differences also emerged in all attributions and attitudes that were examined. Mothers’ and fathers’ attributions and their attitudes were moderately correlated, but parenting attitudes were more highly correlated in parents than were attributions. Conclusions We draw connections among the findings across the 9 countries and outline implications for understanding similarities and differences in mothers’ and fathers’ parenting attributions and attitudes. PMID:21927591

  12. Irreducible descriptive sets of attributes for information systems

    KAUST Repository

    Moshkov, Mikhail

    2010-01-01

    The maximal consistent extension Ext(S) of a given information system S consists of all objects corresponding to attribute values from S which are consistent with all true and realizable rules extracted from the original information system S. An irreducible descriptive set for the considered information system S is a minimal (relative to the inclusion) set B of attributes which defines exactly the set Ext(S) by means of true and realizable rules constructed over attributes from the considered set B. We show that there exists only one irreducible descriptive set of attributes. We present a polynomial algorithm for this set construction. We also study relationships between the cardinality of irreducible descriptive set of attributes and the number of attributes in S. The obtained results will be useful for the design of concurrent data models from experimental data. © 2010 Springer-Verlag.

  13. Improved Conflict Detection for Graph Transformation with Attributes

    Directory of Open Access Journals (Sweden)

    Géza Kulcsár

    2015-04-01

    Full Text Available In graph transformation, a conflict describes a situation where two alternative transformations cannot be arbitrarily serialized. When enriching graphs with attributes, existing conflict detection techniques typically report a conflict whenever at least one of two transformations manipulates a shared attribute. In this paper, we propose an improved, less conservative condition for static conflict detection of graph transformation with attributes by explicitly taking the semantics of the attribute operations into account. The proposed technique is based on symbolic graphs, which extend the traditional notion of graphs by logic formulas used for attribute handling. The approach is proven complete, i.e., any potential conflict is guaranteed to be detected.

  14. A systematic review of knowledge sharing challenges and practices in global software development

    DEFF Research Database (Denmark)

    Zahedi, Mansooreh; Shahin, Mojtaba; Babar, Muhammad Ali

    2016-01-01

    the data extracted from the reviewed primary studies. Results: Our findings revealed that knowledge sharing challenges and practices in GSD could be classi- fied in 6 main themes: management, team structure, work processes/practices, team cognition, social attributes and technology. In regard to contextual......Context: Global Software Development (GSD) presents significant challenges to share and understand knowledge required for developing software. Organizations are expected to implement appropriate practices to address knowledge-sharing challenges in GSD. With the growing literature on GSD and its...... and practices fall under the theme of “work practices”. (c) The technology related knowledge-sharing challenges are the least reported; we discussed the available technologies for sup- porting knowledge sharing needs in GSD. (d) The organizational contextual information is missing from a large number of studies...

  15. An Exploration of EFL Teachers' Attributions

    Science.gov (United States)

    Ghonsooly, Behzad; Ghanizadeh, Afsaneh; Ghazanfari, Mohammad; Ghabanchi, Zargham

    2015-01-01

    The present study investigated English as a foreign language (EFL) teachers' attributions of success and failure. It also set out to investigate whether these attributions vary by teachers' age, teaching experience, gender and educational level. To do so, 200 EFL teachers were selected according to convenience sampling among EFL teachers teaching…

  16. Crisis Workers' Attributions for Domestic Violence.

    Science.gov (United States)

    Madden, Margaret E.

    Attributions affect coping with victimization. Battered women who blame their husbands' moods are less likely to leave than are women who blame their husbands' permanent characteristics for the violence. Abused women often have repeated contacts with crisis intervention workers and the attitudes of those workers may affect the attributions made by…

  17. Why is working memory capacity related to matrix reasoning tasks?

    Science.gov (United States)

    Harrison, Tyler L; Shipstead, Zach; Engle, Randall W

    2015-04-01

    One of the reasons why working memory capacity is so widely researched is its substantial relationship with fluid intelligence. Although this relationship has been found in numerous studies, researchers have been unable to provide a conclusive answer as to why the two constructs are related. In a recent study, researchers examined which attributes of Raven's Progressive Matrices were most strongly linked with working memory capacity (Wiley, Jarosz, Cushen, & Colflesh, Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 256-263, 2011). In that study, Raven's problems that required a novel combination of rules to solve were more strongly correlated with working memory capacity than were problems that did not. In the present study, we wanted to conceptually replicate the Wiley et al. results while controlling for a few potential confounds. Thus, we experimentally manipulated whether a problem required a novel combination of rules and found that repeated-rule-combination problems were more strongly related to working memory capacity than were novel-rule-combination problems. The relationship to other measures of fluid intelligence did not change based on whether the problem required a novel rule combination.

  18. A Pure Object-Oriented Embedding of Attribute Grammars

    NARCIS (Netherlands)

    Sloane, A.M.; Kats, L.C.L.; Visser, E.

    2010-01-01

    Attribute grammars are a powerful specification paradigm for many language processing tasks, particularly semantic analysis of programming languages. Recent attribute grammar systems use dynamic scheduling algorithms to evaluate attributes by need. In this paper, we show how to remove the need for a

  19. How Japanese companion dog and cat owners’ degree of attachment relates to the attribution of emotions to their animals

    Science.gov (United States)

    Koda, Naoko; Martens, Pim

    2018-01-01

    Recently, studies in the United States and European countries have shown that the degree of attachment is associated with the attribution of emotions to companion animals. These studies imply that investigating the degree of attachment to companion animals is a good way for researchers to explore animal emotions and then improve animal welfare. Although a promising area of study, in Japan, no empirical studies have examined the correlation between the degree of attachment and the attribution of emotions to companion animals. In this research, we aimed to assess companion animal owners’ attribution of six primary (anger, joy, sadness, disgust, fear and surprise) and four secondary (shame, jealousy, disappointment and compassion) emotions to their dogs and cats, as well as how the degree of attachment related to such attribution of emotions from a Japanese cultural perspective. The “Pet Bonding Scale” (PBS), which is used to determine the level of bonding between humans and animals, was introduced to measure respondents’ degree of attachment to their companion animals. The results of a questionnaire (N = 546) distributed throughout Japan showed that respondents attributed a wide range of emotions to their animals. Companion animals’ primary emotions, compared to secondary emotions, were more commonly attributed by their owners. The attribution of compassion and jealousy was reported at a high level (73.1% and 56.2%, respectively), which was surprising as compassion and jealousy are generally defined as secondary emotions. All participants were highly attached to their companion animals, and this attachment was positively associated with the attribution of emotions (9/10) to companion animals (all p animal emotions by analyzing the bonding between companion animals and owners in Japan, and it can therefore provide knowledge to increase Japanese people’s awareness of animal welfare. PMID:29304166

  20. How Japanese companion dog and cat owners' degree of attachment relates to the attribution of emotions to their animals.

    Science.gov (United States)

    Su, Bingtao; Koda, Naoko; Martens, Pim

    2018-01-01

    Recently, studies in the United States and European countries have shown that the degree of attachment is associated with the attribution of emotions to companion animals. These studies imply that investigating the degree of attachment to companion animals is a good way for researchers to explore animal emotions and then improve animal welfare. Although a promising area of study, in Japan, no empirical studies have examined the correlation between the degree of attachment and the attribution of emotions to companion animals. In this research, we aimed to assess companion animal owners' attribution of six primary (anger, joy, sadness, disgust, fear and surprise) and four secondary (shame, jealousy, disappointment and compassion) emotions to their dogs and cats, as well as how the degree of attachment related to such attribution of emotions from a Japanese cultural perspective. The "Pet Bonding Scale" (PBS), which is used to determine the level of bonding between humans and animals, was introduced to measure respondents' degree of attachment to their companion animals. The results of a questionnaire (N = 546) distributed throughout Japan showed that respondents attributed a wide range of emotions to their animals. Companion animals' primary emotions, compared to secondary emotions, were more commonly attributed by their owners. The attribution of compassion and jealousy was reported at a high level (73.1% and 56.2%, respectively), which was surprising as compassion and jealousy are generally defined as secondary emotions. All participants were highly attached to their companion animals, and this attachment was positively associated with the attribution of emotions (9/10) to companion animals (all p animal emotions by analyzing the bonding between companion animals and owners in Japan, and it can therefore provide knowledge to increase Japanese people's awareness of animal welfare.

  1. How Japanese companion dog and cat owners' degree of attachment relates to the attribution of emotions to their animals.

    Directory of Open Access Journals (Sweden)

    Bingtao Su

    Full Text Available Recently, studies in the United States and European countries have shown that the degree of attachment is associated with the attribution of emotions to companion animals. These studies imply that investigating the degree of attachment to companion animals is a good way for researchers to explore animal emotions and then improve animal welfare. Although a promising area of study, in Japan, no empirical studies have examined the correlation between the degree of attachment and the attribution of emotions to companion animals. In this research, we aimed to assess companion animal owners' attribution of six primary (anger, joy, sadness, disgust, fear and surprise and four secondary (shame, jealousy, disappointment and compassion emotions to their dogs and cats, as well as how the degree of attachment related to such attribution of emotions from a Japanese cultural perspective. The "Pet Bonding Scale" (PBS, which is used to determine the level of bonding between humans and animals, was introduced to measure respondents' degree of attachment to their companion animals. The results of a questionnaire (N = 546 distributed throughout Japan showed that respondents attributed a wide range of emotions to their animals. Companion animals' primary emotions, compared to secondary emotions, were more commonly attributed by their owners. The attribution of compassion and jealousy was reported at a high level (73.1% and 56.2%, respectively, which was surprising as compassion and jealousy are generally defined as secondary emotions. All participants were highly attached to their companion animals, and this attachment was positively associated with the attribution of emotions (9/10 to companion animals (all p < 0.05. This study is one of the first to investigate animal emotions by analyzing the bonding between companion animals and owners in Japan, and it can therefore provide knowledge to increase Japanese people's awareness of animal welfare.

  2. Can knowledge exchange support the implementation of a health-promoting schools approach? Perceived outcomes of knowledge exchange in the COMPASS study.

    Science.gov (United States)

    Brown, Kristin M; Elliott, Susan J; Robertson-Wilson, Jennifer; Vine, Michelle M; Leatherdale, Scott T

    2018-03-13

    Despite the potential population-level impact of a health-promoting schools approach, schools face challenges in implementation, indicating a gap between school health research and practice. Knowledge exchange provides an opportunity to reduce this gap; however, there has been limited evaluation of these initiatives. This research explored researchers' and knowledge users' perceptions of outcomes associated with a knowledge exchange initiative within COMPASS, a longitudinal study of Canadian secondary students and schools. Schools received annual tailored summaries of their students' health behaviours and suggestions for action and were linked with knowledge brokers to support them in taking action to improve student health. Qualitative semi-structured interviews were conducted with COMPASS researchers (n = 13), school staff (n = 13), and public health stakeholders (n = 4) to explore their experiences with COMPASS knowledge exchange. Key issues included how knowledge users used school-specific findings, perceived outcomes of knowledge exchange, and suggestions for change. Outcomes for both knowledge users and researchers were identified; interestingly, knowledge users attributed more outcomes to using school-specific findings than knowledge brokering. School and public health participants indicated school-specific findings informed their programming and planning. Importantly, knowledge exchange provided a platform for partnerships between researchers, schools, and public health units. Knowledge brokering allowed researchers to gain feedback from knowledge users to enhance the study and a better understanding of the school environment. Interestingly, COMPASS knowledge exchange outcomes aligned with Samdal and Rowling's eight theory-driven implementation components for health-promoting schools. Hence, knowledge exchange may provide a mechanism to help schools implement a health-promoting schools approach. This research contributes to the limited

  3. An Attributional Analysis of Reactions to Negative Emotions.

    Science.gov (United States)

    Karasawa, Kaori

    1995-01-01

    Three studies examined observers' attributions and reactions to negative emotional displays, as well as expressers' expectations about others' reactions. Analysis revealed that people attribute others' negative emotions equally to situational factors and dispositions, whereas their own emotions are attributed to the situation more than to…

  4. Variable precision rough set for multiple decision attribute analysis

    Institute of Scientific and Technical Information of China (English)

    Lai; Kin; Keung

    2008-01-01

    A variable precision rough set (VPRS) model is used to solve the multi-attribute decision analysis (MADA) problem with multiple conflicting decision attributes and multiple condition attributes. By introducing confidence measures and a β-reduct, the VPRS model can rationally solve the conflicting decision analysis problem with multiple decision attributes and multiple condition attributes. For illustration, a medical diagnosis example is utilized to show the feasibility of the VPRS model in solving the MADA...

  5. Simple Multi-Authority Attribute-Based Encryption for Short Messages

    OpenAIRE

    Viktoria I. Villanyi

    2016-01-01

    Central authority free multi-authority attribute based encryption scheme for short messages will be presented. Several multi-authority attribute based encryption schemes were recently proposed. We can divide these schemes into two groups, one of them are the ciphertext-policy attribute based encryption schemes (CP-ABE), the another one are the key-policy attribute based encryption schemes (KP-ABE). In our new multi-authority attribute based encryption scheme we combine them: the access struct...

  6. Knowledge-based simulation using object-oriented programming

    Science.gov (United States)

    Sidoran, Karen M.

    1993-01-01

    Simulations have become a powerful mechanism for understanding and modeling complex phenomena. Their results have had substantial impact on a broad range of decisions in the military, government, and industry. Because of this, new techniques are continually being explored and developed to make them even more useful, understandable, extendable, and efficient. One such area of research is the application of the knowledge-based methods of artificial intelligence (AI) to the computer simulation field. The goal of knowledge-based simulation is to facilitate building simulations of greatly increased power and comprehensibility by making use of deeper knowledge about the behavior of the simulated world. One technique for representing and manipulating knowledge that has been enhanced by the AI community is object-oriented programming. Using this technique, the entities of a discrete-event simulation can be viewed as objects in an object-oriented formulation. Knowledge can be factual (i.e., attributes of an entity) or behavioral (i.e., how the entity is to behave in certain circumstances). Rome Laboratory's Advanced Simulation Environment (RASE) was developed as a research vehicle to provide an enhanced simulation development environment for building more intelligent, interactive, flexible, and realistic simulations. This capability will support current and future battle management research and provide a test of the object-oriented paradigm for use in large scale military applications.

  7. Attributes of God: Conceptual Foundations of a Foundational Belief.

    Science.gov (United States)

    Shtulman, Andrew; Lindeman, Marjaana

    2016-04-01

    Anthropomorphism, or the attribution of human properties to nonhuman entities, is often posited as an explanation for the origin and nature of God concepts, but it remains unclear which human properties we tend to attribute to God and under what conditions. In three studies, participants decided whether two types of human properties-psychological (mind-dependent) properties and physiological (body-dependent) properties-could or could not be attributed to God. In Study 1 (n = 1,525), participants made significantly more psychological attributions than physiological attributions, and the frequency of those attributions was correlated both with participants' religiosity and with their attribution of abstract, theological properties. In Study 2 (n = 99) and Study 3 (n = 138), participants not only showed the same preference for psychological properties but were also significantly faster, more consistent, and more confident when attributing psychological properties to God than when attributing physiological properties. And when denying properties to God, they showed the reverse pattern-that is, they were slower, less consistent, and less confident when denying psychological properties than when denying physiological properties. These patterns were observed both in a predominantly Christian population (Study 2) and a predominantly Hindu population (Study 3). Overall, we argue that God is conceptualized not as a person in general but as an agent in particular, attributed a mind by default but attributed a body only upon further consideration. Copyright © 2015 Cognitive Science Society, Inc.

  8. Dynamic neural architecture for social knowledge retrieval.

    Science.gov (United States)

    Wang, Yin; Collins, Jessica A; Koski, Jessica; Nugiel, Tehila; Metoki, Athanasia; Olson, Ingrid R

    2017-04-18

    Social behavior is often shaped by the rich storehouse of biographical information that we hold for other people. In our daily life, we rapidly and flexibly retrieve a host of biographical details about individuals in our social network, which often guide our decisions as we navigate complex social interactions. Even abstract traits associated with an individual, such as their political affiliation, can cue a rich cascade of person-specific knowledge. Here, we asked whether the anterior temporal lobe (ATL) serves as a hub for a distributed neural circuit that represents person knowledge. Fifty participants across two studies learned biographical information about fictitious people in a 2-d training paradigm. On day 3, they retrieved this biographical information while undergoing an fMRI scan. A series of multivariate and connectivity analyses suggest that the ATL stores abstract person identity representations. Moreover, this region coordinates interactions with a distributed network to support the flexible retrieval of person attributes. Together, our results suggest that the ATL is a central hub for representing and retrieving person knowledge.

  9. A Multi-Session Attribution Modification Program for Children with Aggressive Behaviour: Changes in Attributions, Emotional Reaction Estimates, and Self-Reported Aggression.

    Science.gov (United States)

    Vassilopoulos, Stephanos P; Brouzos, Andreas; Andreou, Eleni

    2015-09-01

    Research suggests that aggressive children are prone to over-attribute hostile intentions to peers. The current study investigated whether this attributional style can be altered using a Cognitive Bias Modification of Interpretations (CBM-I) procedure. A sample of 10-12-year-olds selected for displaying aggressive behaviours was trained over three sessions to endorse benign rather than hostile attributions in response to ambiguous social scenarios. Compared to a test-retest control group (n = 18), children receiving CBM-I (n = 16) were less likely to endorse hostile attributions and more likely to endorse benign attributions in response to a new set of ambiguous social situations. Furthermore, aggressive behaviour scores reduced more in the trained group than in the untrained controls. Children who received attribution training also reported less perceived anger and showed a trend to report more self-control than those in the control group. Implications of these findings are discussed.

  10. Linearly Ordered Attribute Grammar Scheduling Using SAT-Solving

    NARCIS (Netherlands)

    Bransen, Jeroen; van Binsbergen, L.Thomas; Claessen, Koen; Dijkstra, Atze

    2015-01-01

    Many computations over trees can be specified using attribute grammars. Compilers for attribute grammars need to find an evaluation order (or schedule) in order to generate efficient code. For the class of linearly ordered attribute grammars such a schedule can be found statically, but this problem

  11. MEASURING THE ENTREPRENEUR’S FINANCIAL KNOWLEDGE: EVIDENCE FROM SMALL MEDIUM ENTERPRISES IN SURABAYA

    Directory of Open Access Journals (Sweden)

    Gesti Memarista

    2016-09-01

    Full Text Available This study aimed to analyze the factors that measure the financial knowledge of entrepreneurs in Surabaya. Entrepreneurs with higher financial knowledge will have a growing probability of a successful business. This research was conducted by distributing questionnaires. There are 309 entrepreneurs as the sam-ples who are living, doing business, as well as having financial knowledge about entrepreneurial finance in Surabaya. This study used exploratory factor analysis to identify the relationship between the manifest varia-bles (attributes or indicator variables to build a construct (factor. The results in this study are the factors that measure the financial knowledge of entrepreneurs in SMEs such as functional financial management sys-tems, funding decisions, business information technology, financial obstacles, financial strength, and risk ma-nagement.

  12. Attributing Hacks

    OpenAIRE

    Liu, Ziqi; Smola, Alexander J.; Soska, Kyle; Wang, Yu-Xiang; Zheng, Qinghua; Zhou, Jun

    2016-01-01

    In this paper we describe an algorithm for estimating the provenance of hacks on websites. That is, given properties of sites and the temporal occurrence of attacks, we are able to attribute individual attacks to joint causes and vulnerabilities, as well as estimating the evolution of these vulnerabilities over time. Specifically, we use hazard regression with a time-varying additive hazard function parameterized in a generalized linear form. The activation coefficients on each feature are co...

  13. Mediated Ciphertext-Policy Attribute-Based Encryption and Its Application

    NARCIS (Netherlands)

    Ibraimi, L.; Petkovic, M.; Nikova, S.I.; Hartel, Pieter H.; Jonker, Willem; Youm, Heung Youl; Yung, Moti

    2009-01-01

    In Ciphertext-Policy Attribute-Based Encryption (CP-ABE), a user secret key is associated with a set of attributes, and the ciphertext is associated with an access policy over attributes. The user can decrypt the ciphertext if and only if the attribute set of his secret key satisfies the access

  14. Use of seismic attributes for sediment classification

    Directory of Open Access Journals (Sweden)

    Fabio Radomille Santana

    2015-04-01

    Full Text Available A study to understand the relationships between seismic attributes extracted from 2D high-resolution seismic data and the seafloor's sediments of the surveyed area. As seismic attributes are features highly influenced by the medium through which the seismic waves are propagated, the authors can assume that it would be possible to characterise the geological nature of the seafloor by using these attributes. Herein, a survey was performed on the continental margin of the South Shetland Islands in Antarctica, where both 2D high-resolution seismic data and sediment gravity cores samples were simultaneously acquired. A computational script was written to extract the seismic attributes from the data, which have been statistically analysed with clustering analyses, such as principal components analysis, dendrograms and k-means classification. The extracted seismic attributes are the amplitude, the instantaneous phase, the instantaneous frequency, the envelope, the time derivative of the envelope, the second derivative of the envelope and the acceleration of phase. Statistical evaluation showed that geological classification of the seafloor's sediments is possible by associating these attributes according to their coherence. The methodologies here developed seem to be appropriate for glacio-marine environment and coarse-to-medium silt sediment found in the study area and may be applied to other regions in the same geological conditions.

  15. Spatial and temporal changes in seasonal range attributes in a declining barren-ground caribou herd

    Directory of Open Access Journals (Sweden)

    John A. Virgl

    2017-05-01

    Full Text Available From 1996 to 2015 the Bathurst caribou herd has declined from approximately 349,000 to 20,000 animals. Aboriginal traditional knowledge (TK has recently observed the later arrival of the herd below the treeline, an attribute of the autumn range. Science also predicts that seasonal range attributes (e.g., area, location likely vary with population size, and perhaps climate. We used Aboriginal TK and science to identify several seasonal range attributes that were ex­amined for changes through time (decreasing population abundance. Attributes of seasonal ranges for female Bathurst caribou were calculated using satellite radio-collar data from January 1996 through October 2013. Climate data from CircumArctic Rangifer Monitoring and Assessment Network were analyzed for trends from 1979 to 2009. Analyses showed a significant decrease in the area of post-calving and autumn ranges, but no changes in winter and spring ranges. Results supported Aboriginal TK that female caribou have shifted the autumn range farther from the treeline and moved into the forest later in the year. Analysis of climate variables found no trends at the spatio-temporal scale of the post-calving to autumn ranges. Working hypotheses to explain these patterns, which are not mutually exclusive, include reduced predation risk, increased use of core areas at lower population density, and greater utilization of areas of taiga where arboreal and ground lichen availability and accessibility are relatively higher than in the forest. This analysis demonstrates how including Aboriginal TK can lead to stronger connections and results, with potential to provide new and different insights for further investigations.

  16. Topographic attributes as a guide for automated detection or highlighting of geological features

    Science.gov (United States)

    Viseur, Sophie; Le Men, Thibaud; Guglielmi, Yves

    2015-04-01

    . This approach assume that structural or sedimentary features coincide with topographic surface parts. In this work, several topographic attributes are proposed to highlight geological features on outcrops. Among them, differential operators are used but also combined and processed to display particular topographic shapes. Moreover, two kinds of attributes are used: unsupervised and supervised attributes. The supervised attributes integrate an a priori knowledge about the objects to extract (e.g.: a preferential orientation of fracture surfaces, etc.). This strategy may be compared to the one used for seismic interpretation. Indeed, many seismic attributes have been proposed to highlight geological structures hardly observable due to data noise. The same issue exist with topographic data: plants, erosions, etc. generate noise that make interpretation sometimes hard. The proposed approach has been applied on real case studies to show how it could help the interpretation of geological features. The obtained 'topographic attributes' are shown and discussed.

  17. Detecting misinformation and knowledge conflicts in relational data

    Science.gov (United States)

    Levchuk, Georgiy; Jackobsen, Matthew; Riordan, Brian

    2014-06-01

    Information fusion is required for many mission-critical intelligence analysis tasks. Using knowledge extracted from various sources, including entities, relations, and events, intelligence analysts respond to commander's information requests, integrate facts into summaries about current situations, augment existing knowledge with inferred information, make predictions about the future, and develop action plans. However, information fusion solutions often fail because of conflicting and redundant knowledge contained in multiple sources. Most knowledge conflicts in the past were due to translation errors and reporter bias, and thus could be managed. Current and future intelligence analysis, especially in denied areas, must deal with open source data processing, where there is much greater presence of intentional misinformation. In this paper, we describe a model for detecting conflicts in multi-source textual knowledge. Our model is based on constructing semantic graphs representing patterns of multi-source knowledge conflicts and anomalies, and detecting these conflicts by matching pattern graphs against the data graph constructed using soft co-reference between entities and events in multiple sources. The conflict detection process maintains the uncertainty throughout all phases, providing full traceability and enabling incremental updates of the detection results as new knowledge or modification to previously analyzed information are obtained. Detected conflicts are presented to analysts for further investigation. In the experimental study with SYNCOIN dataset, our algorithms achieved perfect conflict detection in ideal situation (no missing data) while producing 82% recall and 90% precision in realistic noise situation (15% of missing attributes).

  18. Development and Validation of the Poverty Attributions Survey

    Science.gov (United States)

    Bennett, Robert M.; Raiz, Lisa; Davis, Tamara S.

    2016-01-01

    This article describes the process of developing and testing the Poverty Attribution Survey (PAS), a measure of poverty attributions. The PAS is theory based and includes original items as well as items from previously tested poverty attribution instruments. The PAS was electronically administered to a sample of state-licensed professional social…

  19. Quality Attribute Design Primitives

    National Research Council Canada - National Science Library

    Bass, Len

    2000-01-01

    This report focuses on the quality attribute aspects of mechanisms. An architectural mechanism is a 'structure whereby objects collaborate to provide some behavior that satisfies a requirement of the problem...

  20. Object attributes combine additively in visual search.

    Science.gov (United States)

    Pramod, R T; Arun, S P

    2016-01-01

    We perceive objects as containing a variety of attributes: local features, relations between features, internal details, and global properties. But we know little about how they combine. Here, we report a remarkably simple additive rule that governs how these diverse object attributes combine in vision. The perceived dissimilarity between two objects was accurately explained as a sum of (a) spatially tuned local contour-matching processes modulated by part decomposition; (b) differences in internal details, such as texture; (c) differences in emergent attributes, such as symmetry; and (d) differences in global properties, such as orientation or overall configuration of parts. Our results elucidate an enduring question in object vision by showing that the whole object is not a sum of its parts but a sum of its many attributes.

  1. Got 'Em on a String: The Skills, Knowledge and Attributes of Group String Teachers in Queensland

    Science.gov (United States)

    Ashton, Graham R.; Klopper, Christopher J.

    2018-01-01

    There appear to be considerable differences in the outcomes of group string teaching programs in Queensland. Some teachers appear to be able to generate, manage, and administrate highly efficacious programs; others seem to experience difficulty transferring the knowledge and skills required for students to become successful string players. As a…

  2. Safety significance of ATR passive safety response attributes

    International Nuclear Information System (INIS)

    Atkinson, S.A.

    1990-01-01

    The Advanced Test Reactor (ATR) at the Idaho National Engineering Laboratory was designed with some passive safety response attributes which contribute to the safety of the facility. The three passive safety attributes being evaluated in the paper are: 1) In-core and in-vessel natural convection cooling, 2) a passive heat sink capability of the ATR primary coolant system (PCS) for the transfer of decay power from the uninsulated piping to the confinement, and 3) gravity feed of emergency coolant makeup. The safety significance of the ATR passive safety response attributes is that the reactor can passively respond to most transients, given a reactor scram, to provide adequate decay power removal and a significant time for operator action should the normal active heat removal systems and their backup systems both fail. The ATR Interim Level 1 Probabilistic Risk Assessment (PRA) models and results were used to evaluate the significance to ATR fuel damage frequency (or probability) of the above three passive response attributes. The results of the evaluation indicate that the first attribute is a major safety characteristic of the ATR. The second attribute has a noticeable but only minor safety significance. The third attribute has no significant influence on the ATR firewater injection system (emergency coolant system)

  3. Attributes of ethical employees in Malaysian public sector ...

    African Journals Online (AJOL)

    This study aims to explore the attributes of ethical employees in public sector and to pattern match the attributes with human behavior, social and ethics theories. A qualitative research is used by focusing on first-order attributes (through interviews) and second-order concepts (using theories to explain the facts). This study ...

  4. Exploring Relationships among Belief in Genetic Determinism, Genetics Knowledge, and Social Factors

    Science.gov (United States)

    Gericke, Niklas; Carver, Rebecca; Castéra, Jérémy; Evangelista, Neima Alice Menezes; Marre, Claire Coiffard; El-Hani, Charbel N.

    2017-01-01

    Genetic determinism can be described as the attribution of the formation of traits to genes, where genes are ascribed more causal power than what scientific consensus suggests. Belief in genetic determinism is an educational problem because it contradicts scientific knowledge, and is a societal problem because it has the potential to foster…

  5. The Choice of Canned Whole Peeled Tomatoes is Driven by Different Key Quality Attributes Perceived by Consumers Having Different Familiarity with the Product.

    Science.gov (United States)

    Frez-Muñoz, Lucía; Steenbekkers, Bea Lpa; Fogliano, Vincenzo

    2016-12-01

    Canned whole peeled tomatoes are a premium tomato product; however, no information is available about the key intrinsic and extrinsic quality attributes perceived by consumers when buying this product. This research considered consumers differing in the level of familiarity with peeled tomatoes, that is, knowledge, frequency of consumption, and availability of this product, on 3 markets: Chile (low), The Netherlands (medium), and Italy (high). The perceptions and preferences of each group were studied using first focus groups and subsequently conjoint analysis in order to identify the key quality attributes leading their preferences for this product. Focus groups identified 7 intrinsic attributes (color, packing medium, tomato consistency, acidity level, sweetness level, extra ingredients, and intensity of product taste), and 5 extrinsic attributes (packaging material, product type, country of origin, brand, and label design). Significant variations according to the familiarity were found. The conjoint analyses showed that color of tomatoes was the most important intrinsic quality attribute for all groups, while packaging material was the most important extrinsic quality attribute for Chileans and Dutch, being a glass container or a can with easy open the preferred packaging for respective groups. In contrast, country of origin was the most important parameter for Italians. We concluded that intrinsic and extrinsic attributes were strongly influenced by the degree of familiarity with canned whole peeled tomatoes. © 2016 Institute of Food Technologists®.

  6. PDA: A coupling of knowledge and memory for case-based reasoning

    Science.gov (United States)

    Bharwani, S.; Walls, J.; Blevins, E.

    1988-01-01

    Problem solving in most domains requires reference to past knowledge and experience whether such knowledge is represented as rules, decision trees, networks or any variant of attributed graphs. Regardless of the representational form employed, designers of expert systems rarely make a distinction between the static and dynamic aspects of the system's knowledge base. The current paper clearly distinguishes between knowledge-based and memory-based reasoning where the former in its most pure sense is characterized by a static knowledge based resulting in a relatively brittle expert system while the latter is dynamic and analogous to the functions of human memory which learns from experience. The paper discusses the design of an advisory system which combines a knowledge base consisting of domain vocabulary and default dependencies between concepts with a dynamic conceptual memory which stores experimental knowledge in the form of cases. The case memory organizes past experience in the form of MOPs (memory organization packets) and sub-MOPs. Each MOP consists of a context frame and a set of indices. The context frame contains information about the features (norms) common to all the events and sub-MOPs indexed under it.

  7. The Highest Good and the Practical Regulative Knowledge in Kant’s Critique of Practical Reason

    OpenAIRE

    Joel Thiago Klein

    2016-01-01

    In this paper I defend three different points: first, that the concept of highest good is derived from an a priori but subjective argument, namely a maxim of pure practical reason; secondly, that the theory regarding the highest good has the validity of a practical regulative knowledge; and thirdly, that the practical regulative knowledge can be understood as the same “holding something to be true” as Kant attributes to hope and believe.

  8. Main attributes influencing spent nuclear fuel management

    International Nuclear Information System (INIS)

    Andreescu, N.; Ohai, D.

    1997-01-01

    All activities regarding nuclear fuel, following its discharge from the NPP, constitute the spent fuel management and are grouped in two possible back end variants, namely reprocessing (including HLW vitrification and geological disposal) and direct disposal of spent fuel. In order to select the appropriate variant it is necessary to analyse the aggregate fulfillment of the imposed requirements, particularly of the derived attributes, defined as distinguishing characteristics of the factors used in the decision making process. The main identified attributes are the following: - environmental impact, - availability of suitable sites, - non-proliferation degree, -strategy of energy, - technological complexity and technical maturity, -possible further technical improvements, - size of nuclear programme, - total costs, - public acceptance, - peculiarity of CANDU fuel. The significance of the attributes in the Romanian case, taking into consideration the present situation, as a low scenario and a high scenario corresponding to an important development of the nuclear power, after the year 2010, is presented. According to their importance the ranking of attributes is proposed . Subsequently, the ranking could be used for adequate weighing of attributes in order to realize a multi-criteria analysis and a relevant comparison of back end variants. (authors)

  9. Extreme Weather Events and Climate Change Attribution

    Energy Technology Data Exchange (ETDEWEB)

    Thomas, Katherine [National Academy of Sciences, Washington, DC (United States)

    2016-03-31

    A report from the National Academies of Sciences, Engineering, and Medicine concludes it is now possible to estimate the influence of climate change on some types of extreme events. The science of extreme event attribution has advanced rapidly in recent years, giving new insight to the ways that human-caused climate change can influence the magnitude or frequency of some extreme weather events. This report examines the current state of science of extreme weather attribution, and identifies ways to move the science forward to improve attribution capabilities. Confidence is strongest in attributing types of extreme events that are influenced by climate change through a well-understood physical mechanism, such as, the more frequent heat waves that are closely connected to human-caused global temperature increases, the report finds. Confidence is lower for other types of events, such as hurricanes, whose relationship to climate change is more complex and less understood at present. For any extreme event, the results of attribution studies hinge on how questions about the event's causes are posed, and on the data, modeling approaches, and statistical tools chosen for the analysis.

  10. Exemplar-based inference in multi-attribute decision making

    Directory of Open Access Journals (Sweden)

    Linnea Karlsson

    2008-03-01

    Full Text Available Several studies propose that exemplar retrieval contributes to multi-attribute decisions. The authors have proposed a process theory enabling a priori predictions of what cognitive representations people use as input to their judgment process (extit{Sigma}, for ``summation''; P. Juslin, L. Karlsson, and H. Olsson, 2008. According to Sigma, exemplar retrieval is a back-up system when the task does not allow for additive and linear abstraction and integration of cue-criterion knowledge (e.g., when the task is non-additive. An important question is to what extent such shifts occur spontaneously as part of automatic procedures, such as error-minimization with the Delta rule, or if they are controlled extit{strategy} shifts contingent on the ability to identify a sufficiently successful judgment strategy. In this article data are reviewed that demonstrate a shift between exemplar memory and cue abstraction, as well as data where the expected shift does extit{not} occur. In contrast to a common assumption of previous models, these results suggest a controlled and contingent strategy shift.

  11. Flexible goal attribution in early mindreading.

    Science.gov (United States)

    Michael, John; Christensen, Wayne

    2016-03-01

    The 2-systems theory developed by Apperly and Butterfill (2009; Butterfill & Apperly, 2013) is an influential approach to explaining the success of infants and young children on implicit false-belief tasks. There is extensive empirical and theoretical work examining many aspects of this theory, but little attention has been paid to the way in which it characterizes goal attribution. We argue here that this aspect of the theory is inadequate. Butterfill and Apperly's characterization of goal attribution is designed to show how goals could be ascribed by infants without representing them as related to other psychological states, and the minimal mindreading system is supposed to operate without employing flexible semantic-executive cognitive processes. But research on infant goal attribution reveals that infants exhibit a high degree of situational awareness that is strongly suggestive of flexible semantic-executive cognitive processing, and infants appear moreover to be sensitive to interrelations between goals, preferences, and beliefs. Further, close attention to the structure of implicit mindreading tasks--for which the theory was specifically designed--indicates that flexible goal attribution is required to succeed. We conclude by suggesting 2 approaches to resolving these problems. (c) 2016 APA, all rights reserved).

  12. Uncertain multi-attribute decision making methods and applications

    CERN Document Server

    Xu, Zeshui

    2015-01-01

    This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making with finite alternatives, is an important component of modern decision science. The theory and methods of multi-attribute decision making have been extensively applied in engineering, economics, management and military contexts, such as venture capital project evaluation, facility location, bidding, development ranking of industrial sectors and so on. Over the last few decades, great attention has been paid to research on multi-attribute decision making in uncertain settings, due to the increasing complexity and uncertainty of supposedly objective aspects and the fuzziness of human thought. This book can be used as a ref...

  13. Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach.

    Science.gov (United States)

    Han, Hu; K Jain, Anil; Shan, Shiguang; Chen, Xilin

    2017-08-10

    Face attribute estimation has many potential applications in video surveillance, face retrieval, and social media. While a number of methods have been proposed for face attribute estimation, most of them did not explicitly consider the attribute correlation and heterogeneity (e.g., ordinal vs. nominal and holistic vs. local) during feature representation learning. In this paper, we present a Deep Multi-Task Learning (DMTL) approach to jointly estimate multiple heterogeneous attributes from a single face image. In DMTL, we tackle attribute correlation and heterogeneity with convolutional neural networks (CNNs) consisting of shared feature learning for all the attributes, and category-specific feature learning for heterogeneous attributes. We also introduce an unconstrained face database (LFW+), an extension of public-domain LFW, with heterogeneous demographic attributes (age, gender, and race) obtained via crowdsourcing. Experimental results on benchmarks with multiple face attributes (MORPH II, LFW+, CelebA, LFWA, and FotW) show that the proposed approach has superior performance compared to state of the art. Finally, evaluations on a public-domain face database (LAP) with a single attribute show that the proposed approach has excellent generalization ability.

  14. Real-time hostile attribution measurement and aggression in children.

    Science.gov (United States)

    Yaros, Anna; Lochman, John E; Rosenbaum, Jill; Jimenez-Camargo, Luis Alberto

    2014-01-01

    Hostile attributions are an important predictor of aggression in children, but few studies have measured hostile attributions as they occur in real-time. The current study uses an interactive video racing game to measure hostile attributions while children played against a presumed peer. A sample of 75 children, ages 10-13, used nonverbal and verbal procedures to respond to ambiguous provocation by their opponent. Hostile attributions were significantly positively related to parent-rated reactive aggression, when controlling for proactive aggression. Hostile attributions using a nonverbal response procedure were negatively related to proactive aggression, when controlling for reactive aggression. Results suggest hostile attributions in real-time occur quickly and simultaneously with social interaction, which differs from the deliberative, controlled appraisals measured with vignette-based instruments. The relation between real-time hostile attributions and reactive aggression could be accounted for by the impulsive response style that is characteristic of reactive aggression, whereas children exhibiting proactive aggression may be more deliberate and intentional in their responding, resulting in a negative relation with real-time hostile attributions. These findings can be used both to identify children at risk for aggression and to enhance preventive interventions. © 2014 Wiley Periodicals, Inc.

  15. Social attribution in anorexia nervosa.

    Science.gov (United States)

    Oldershaw, Anna; DeJong, Hannah; Hambrook, David; Schmidt, Ulrike

    2018-05-01

    People with anorexia nervosa (AN) report socioemotional difficulties; however, measurement has been criticised for lacking ecological validity and the state or trait nature of difficulties remains unclear. Participants (n = 122) were recruited across 3 groups: people who are currently ill with AN (n = 40); people who recovered (RecAN, n = 18); healthy-control participants (n = 64). Participants completed clinical questionnaires and the Social Attribution Task. The Social Attribution Task involves describing an animation of moving shapes, scored for number of propositions offered, accuracy, and social relevance. Groups were compared cross-sectionally. Those with current AN were assessed prepsychological and postpsychological treatments. People with AN provided fewer propositions than other groups and fewer salient social attributions than healthy-control participants. Those who recovered scored intermediately and not significantly different from either group. Following treatment, people with AN demonstrated (nonsignificant) improvements, and no significance between group differences were observed. Findings suggest difficulties for people with AN in providing spontaneous social narrative and in identifying social salience. Copyright © 2018 John Wiley & Sons, Ltd and Eating Disorders Association.

  16. Attribution of climate extreme events

    Science.gov (United States)

    Trenberth, Kevin E.; Fasullo, John T.; Shepherd, Theodore G.

    2015-08-01

    There is a tremendous desire to attribute causes to weather and climate events that is often challenging from a physical standpoint. Headlines attributing an event solely to either human-induced climate change or natural variability can be misleading when both are invariably in play. The conventional attribution framework struggles with dynamically driven extremes because of the small signal-to-noise ratios and often uncertain nature of the forced changes. Here, we suggest that a different framing is desirable, which asks why such extremes unfold the way they do. Specifically, we suggest that it is more useful to regard the extreme circulation regime or weather event as being largely unaffected by climate change, and question whether known changes in the climate system's thermodynamic state affected the impact of the particular event. Some examples briefly illustrated include 'snowmaggedon' in February 2010, superstorm Sandy in October 2012 and supertyphoon Haiyan in November 2013, and, in more detail, the Boulder floods of September 2013, all of which were influenced by high sea surface temperatures that had a discernible human component.

  17. Theory of mind selectively predicts preschoolers' knowledge-based selective word learning.

    Science.gov (United States)

    Brosseau-Liard, Patricia; Penney, Danielle; Poulin-Dubois, Diane

    2015-11-01

    Children can selectively attend to various attributes of a model, such as past accuracy or physical strength, to guide their social learning. There is a debate regarding whether a relation exists between theory-of-mind skills and selective learning. We hypothesized that high performance on theory-of-mind tasks would predict preference for learning new words from accurate informants (an epistemic attribute), but not from physically strong informants (a non-epistemic attribute). Three- and 4-year-olds (N = 65) completed two selective learning tasks, and their theory-of-mind abilities were assessed. As expected, performance on a theory-of-mind battery predicted children's preference to learn from more accurate informants but not from physically stronger informants. Results thus suggest that preschoolers with more advanced theory of mind have a better understanding of knowledge and apply that understanding to guide their selection of informants. This work has important implications for research on children's developing social cognition and early learning. © 2015 The British Psychological Society.

  18. Theory of mind selectively predicts preschoolers’ knowledge-based selective word learning

    Science.gov (United States)

    Brosseau-Liard, Patricia; Penney, Danielle; Poulin-Dubois, Diane

    2015-01-01

    Children can selectively attend to various attributes of a model, such as past accuracy or physical strength, to guide their social learning. There is a debate regarding whether a relation exists between theory-of-mind skills and selective learning. We hypothesized that high performance on theory-of-mind tasks would predict preference for learning new words from accurate informants (an epistemic attribute), but not from physically strong informants (a non-epistemic attribute). Three- and 4-year-olds (N = 65) completed two selective learning tasks, and their theory of mind abilities were assessed. As expected, performance on a theory-of-mind battery predicted children’s preference to learn from more accurate informants but not from physically stronger informants. Results thus suggest that preschoolers with more advanced theory of mind have a better understanding of knowledge and apply that understanding to guide their selection of informants. This work has important implications for research on children’s developing social cognition and early learning. PMID:26211504

  19. Packaging design as communicator of product attributes: Effects on consumers’ attribute inferences

    NARCIS (Netherlands)

    van Ooijen, I.

    2016-01-01

    This dissertation will focus on two types of attribute inferences that result from packaging design cues. First, the effects of product packaging design on quality related inferences are investigated. Second, the effects of product packaging design on healthiness related inferences are examined (See

  20. The self-attribution bias and paranormal beliefs

    NARCIS (Netherlands)

    van Elk, M.

    The present study investigated the relation between paranormal beliefs, illusory control and the self-attribution bias, i.e., the motivated tendency to attribute positive outcomes to oneself while negative outcomes are externalized. Visitors of a psychic fair played a card guessing game and

  1. Occupational safety management: the role of causal attribution.

    Science.gov (United States)

    Gyekye, Seth Ayim

    2010-12-01

    The paper addresses the causal attribution theory, an old and well-established theme in social psychology which denotes the everyday, commonsense explanations that people use to explain events and the world around them. The attribution paradigm is considered one of the most appropriate analytical tools for exploratory and descriptive studies in social psychology and organizational literature. It affords the possibility of describing accident processes as objectively as possible and with as much detail as possible. Causal explanations are vital to the formal analysis of workplace hazards and accidents, as they determine how organizations act to prevent accident recurrence. Accordingly, they are regarded as fundamental and prerequisite elements for safety management policies. The paper focuses primarily on the role of causal attributions in occupational and industrial accident analyses and implementation of safety interventions. It thus serves as a review of the contribution of attribution theory to occupational and industrial accidents. It comprises six sections. The first section presents an introduction to the classic attribution theories, and the second an account of the various ways in which the attribution paradigm has been applied in organizational settings. The third and fourth sections review the literature on causal attributions and demographic and organizational variables respectively. The sources of attributional biases in social psychology and how they manifest and are identified in the causal explanations for industrial and occupational accidents are treated in the fifth section. Finally, conclusion and recommendations are presented. The recommendations are particularly important for the reduction of workplace accidents and associated costs. The paper touches on the need for unbiased causal analyses, belief in the preventability of accidents, and the imperative role of management in occupational safety management.

  2. Qualitative analysis of MTEM response using instantaneous attributes

    Science.gov (United States)

    Fayemi, Olalekan; Di, Qingyun

    2017-11-01

    This paper introduces new technique for qualitative analysis of multi-transient electromagnetic (MTEM) earth impulse response over complex geological structures. Instantaneous phase and frequency attributes were used in place of the conventional common offset section for improved qualitative interpretation of MTEM data by obtaining more detailed information from the earth impulse response. The instantaneous attributes were used to describe the lateral variation in subsurface resistivity and the visible geological structure with respect to given offsets. Instantaneous phase attribute was obtained by converting the impulse response into a complex form using the Hilbert transform. Conversely, the polynomial phase difference (PPD) estimator was favored over the center finite difference (CFD) approximation method in calculating the instantaneous frequency attribute because it is computationally efficient and has the ability to give a smooth variation of the instantaneous frequency over a common offset section. The observed results from the instantaneous attributes were in good agreement with both the subsurface model used and the apparent resistivity section obtained from the MTEM earth impulse response. Hence, this study confirms the capability of both instantaneous phase and frequency attributes as highly effective tools for MTEM qualitative analysis.

  3. Choice attributes in restaurant services: An exploratory study

    Directory of Open Access Journals (Sweden)

    Derli Luís Angnes

    2013-08-01

    Full Text Available There are about one million of bars and restaurants that generate around six millions of jobs in Brazil. Among the most important reasons to choose a restaurant are the service attributes. Attributes are judgments the client makes about the performance and quality of the service provided. The identification of restaurant choice attributes is important in order to propose a higher value to services and to make marketing strategies. This article aims to identify the choice attributes of service quality in restaurants. The methodology employed was a qualitative exploratory study based on interviews made using the critical incident technique. It was used a sample of 72 restaurant customers. The content analysis technique was used to treat and analyze the critical incidents obtained in the interviews. The result obtained was a relation of 615 critical incidents, which after being analyzed generated a list of 27 attributes that influence customer’s choice and customer’s evaluation of service quality provided in restaurants. The identified attributes can subsidize and contribute to improvement of future research and studies in the academic environment, besides contributing for the management of restaurants business.

  4. Attribute amnesia is greatly reduced with novel stimuli

    Directory of Open Access Journals (Sweden)

    Weijia Chen

    2017-11-01

    Full Text Available Attribute amnesia is the counterintuitive phenomenon where observers are unable to report a salient aspect of a stimulus (e.g., its colour or its identity immediately after the stimulus was presented, despite both attending to and processing the stimulus. Almost all previous attribute amnesia studies used highly familiar stimuli. Our study investigated whether attribute amnesia would also occur for unfamiliar stimuli. We conducted four experiments using stimuli that were highly familiar (colours or repeated animal images or that were unfamiliar to the observers (unique animal images. Our results revealed that attribute amnesia was present for both sets of familiar stimuli, colour (p < .001 and repeated animals (p = .001; but was greatly attenuated, and possibly eliminated, when the stimuli were unique animals (p = .02. Our data shows that attribute amnesia is greatly reduced for novel stimuli.

  5. Attributional Models of Depression and Marital Distress.

    Science.gov (United States)

    Horneffer, Karen J.; Fincham, Frank D.

    1996-01-01

    Compares attributional models presented in depression and marital literatures by examining simultaneously their prediction of depressive symptoms and marital distress with 150 married couples. Findings show that a model including paths from depressogenic and distress-maintaining marital attributions to both depressive symptoms and marital distress…

  6. Causal Attributions for Poverty in Developing Countries

    Directory of Open Access Journals (Sweden)

    José Juan Vázquez

    2009-07-01

    Full Text Available This paper analyzes attributional differences about causes of poverty in the less developed countries, among Nicaraguan ("actors" and Spanish ("observers" undergraduates. A self–applied questionnaire was used. It included socio–demographic questions and an adaptation of the "Causes of Third World Poverty Questionnaire" (CTWPQ. Results show agreement between Spanish and Nicaraguan in attributions about the main causes of poverty in the less developed countries, although there are differences about the perception of the incidence of the different causes in that situation. Nicaraguan students consider, as causes of poverty, more dispositional attributes about the population in those countries.

  7. Joint Attributes and Event Analysis for Multimedia Event Detection.

    Science.gov (United States)

    Ma, Zhigang; Chang, Xiaojun; Xu, Zhongwen; Sebe, Nicu; Hauptmann, Alexander G

    2017-06-15

    Semantic attributes have been increasingly used the past few years for multimedia event detection (MED) with promising results. The motivation is that multimedia events generally consist of lower level components such as objects, scenes, and actions. By characterizing multimedia event videos with semantic attributes, one could exploit more informative cues for improved detection results. Much existing work obtains semantic attributes from images, which may be suboptimal for video analysis since these image-inferred attributes do not carry dynamic information that is essential for videos. To address this issue, we propose to learn semantic attributes from external videos using their semantic labels. We name them video attributes in this paper. In contrast with multimedia event videos, these external videos depict lower level contents such as objects, scenes, and actions. To harness video attributes, we propose an algorithm established on a correlation vector that correlates them to a target event. Consequently, we could incorporate video attributes latently as extra information into the event detector learnt from multimedia event videos in a joint framework. To validate our method, we perform experiments on the real-world large-scale TRECVID MED 2013 and 2014 data sets and compare our method with several state-of-the-art algorithms. The experiments show that our method is advantageous for MED.

  8. Origins and early development of human body knowledge.

    Science.gov (United States)

    Slaughter, Virginia; Heron, Michelle

    2004-01-01

    As a knowable object, the human body is highly complex. Evidence from several converging lines of research, including psychological studies, neuroimaging and clinical neuropsychology, indicates that human body knowledge is widely distributed in the adult brain, and is instantiated in at least three partially independent levels of representation. Sensorimotor body knowledge is responsible for on-line control and movement of one's own body and may also contribute to the perception of others' moving bodies; visuo-spatial body knowledge specifies detailed structural descriptions of the spatial attributes of the human body; and lexical-semantic body knowledge contains language-based knowledge about the human body. In the first chapter of this Monograph, we outline the evidence for these three hypothesized levels of human body knowledge, then review relevant literature on infants' and young children's human body knowledge in terms of the three-level framework. In Chapters II and III, we report two complimentary series of studies that specifically investigate the emergence of visuo-spatial body knowledge in infancy. Our technique is to compare infants'responses to typical and scrambled human bodies, in order to evaluate when and how infants acquire knowledge about the canonical spatial layout of the human body. Data from a series of visual habituation studies indicate that infants first discriminate scrambled from typical human body picture sat 15 to 18 months of age. Data from object examination studies similarly indicate that infants are sensitive to violations of three-dimensional human body stimuli starting at 15-18 months of age. The overall pattern of data supports several conclusions about the early development of human body knowledge: (a) detailed visuo-spatial knowledge about the human body is first evident in the second year of life, (b) visuo-spatial knowledge of human faces and human bodies are at least partially independent in infancy and (c) infants' initial

  9. Attributions for sexual orientation vs. stereotypes : How beliefs about value violations account for attribution effects on anti-gay discrimination

    NARCIS (Netherlands)

    Reyna, Christine; Wetherell, Geoffrey; Yantis, Caitlyn; Brandt, Mark J.

    Attributions for sexual orientation strongly predict opposition to gay rights policies; however, we propose that beliefs that gays and lesbians violate important values drive gay rights opposition and account for the relationship between attributions and anti-gay discrimination. In two studies, we

  10. Collaborative work and medical talk: opportunities for learning through knowledge sharing.

    Science.gov (United States)

    Nilsen, Line Lundvoll; Ludvigsen, Sten R

    2010-01-01

    Teleconsultations provide new opportunities for learning in medical settings. This study explores the conditions under which learning among physicians takes place. The empirical context is 47 real-time video conferences carried out to examine collaborative work and the medical talk involved. Sixteen of the observations were consultations wherein general practitioners (GPs) and specialists shared knowledge with the purpose of solving a medical problem related to a patient under treatment. In this exploratory study, the learning opportunities are seen as what medical practitioners with different types of expertise achieve through interaction while working with patients over periods of time. The analysis of medical talk in consultations shows that collaborative work among GPs and specialists creates a shared understanding of the patient's clinical history and treatment trajectory. As knowledge is demanded and attributed and gaps of knowledge become shared, consultations create a work tool that expands the medical work and talk. Collaborative work in and between different levels of the health care service expands knowledge, creates opportunities for learning in everyday settings, and improves the quality of knowledge distribution in the health care system.

  11. Variation in some quality attributes of Atlantic salmon fillets from aquaculture related to geographic origin and water temperature

    DEFF Research Database (Denmark)

    Johansson, Gine Ørnholt; Frosch, Stina; Jørgensen, Bo Munk

    2017-01-01

    an efficient use of the information gathered in the different links of the value chain, a deeper knowledge of the correlations between the various quality attributes and factors like the geographical origin of the salmon, the company and the water temperature of the fish farm, is needed. In the present study......It is well know that factors like fat content and texture affect the yield when making products from Atlantic salmon (Salmo salar L.). The relation between these factors and other quality attributes like water holding capacity and protein content, however, has received limited attention. To enable...... a multivariate approach was taken to investigate the variation in some quality parameters (fat, protein, texture, water holding capacity, weight) amongst salmon samples (n = 136) from Norwegian aquaculture in order to establish which parameters were accounting for most of the variation seen in relation...

  12. Assessing the Differences in Public Health Impact of Salmonella Subtypes Using a Bayesian Microbial Subtyping Approach for Source Attribution

    DEFF Research Database (Denmark)

    Pires, Sara Monteiro; Hald, Tine

    2010-01-01

    Salmonella is a major cause of human gastroenteritis worldwide. To prioritize interventions and assess the effectiveness of efforts to reduce illness, it is important to attribute salmonellosis to the responsible sources. Studies have suggested that some Salmonella subtypes have a higher health...... impact than others. Likewise, some food sources appear to have a higher impact than others. Knowledge of variability in the impact of subtypes and sources may provide valuable added information for research, risk management, and public health strategies. We developed a Bayesian model that attributes...... illness to specific sources and allows for a better estimation of the differences in the ability of Salmonella subtypes and food types to result in reported salmonellosis. The model accommodates data for multiple years and is based on the Danish Salmonella surveillance. The number of sporadic cases caused...

  13. Accounting Students' Perceptions of Effective Faculty Attributes

    Science.gov (United States)

    Alfraih, Mishari M.; Alanezi, Faisal S.

    2016-01-01

    Purpose: This study aims to explore the attributes of an effective accounting faculty from the student perspective. It also examines similarities and differences in the perceived importance of these attributes between bachelor's and associate's accounting degree students in two public higher education institutions in Kuwait, namely, Kuwait…

  14. Alcoholics' and nonalcoholics' attributions of control of future life events.

    Science.gov (United States)

    Wright, M H; Obitz, F W

    1984-03-01

    Alcoholic and nonalcoholic subjects rated the degree of control that they and others possess over future life events. Alcoholics attributed less personal control over events to themselves than nonalcoholics did. Alcoholics also attributed less control to themselves than to others, whereas nonalcoholics attributed more control to themselves than to others. These differences prevailed despite the similar socioeconomic and demographic characteristics, recent life experiences and beliefs concerning the general controllability of events of both alcoholics and nonalcoholics. The attributions of alcoholics were consistent with others' notions of self-handicapping. The attributions of nonalcoholics were consistent with control motivation. Alcoholics who attributed less control to themselves than to others more frequently failed to complete treatment than did alcoholics who attributed more control to themselves.

  15. Particulate Matter Exposure and Preterm Birth: Estimates of U.S. Attributable Burden and Economic Costs.

    Science.gov (United States)

    Trasande, Leonardo; Malecha, Patrick; Attina, Teresa M

    2016-12-01

    Preterm birth (PTB) rates (11.4% in 2013) in the United States remain high and are a substantial cause of morbidity. Studies of prenatal exposure have associated particulate matter ≤ 2.5 μm in diameter (PM2.5) and other ambient air pollutants with adverse birth outcomes; yet, to our knowledge, burden and costs of PM2.5-attributable PTB have not been estimated in the United States. We aimed to estimate burden of PTB in the United States and economic costs attributable to PM2.5 exposure in 2010. Annual deciles of PM2.5 were obtained from the U.S. Environmental Protection Agency. We converted PTB odds ratio (OR), identified in a previous meta-analysis (1.15 per 10 μg/m3 for our base case, 1.07-1.16 for low- and high-end scenarios) to relative risk (RRs), to obtain an estimate that better represents the true relative risk. A reference level (RL) of 8.8 μg/m3 was applied. We then used the RR estimates and county-level PTB prevalence to quantify PM2.5-attributable PTB. Direct medical costs were obtained from the 2007 Institute of Medicine report, and lost economic productivity (LEP) was estimated using a meta-analysis of PTB-associated IQ loss, and well-established relationships of IQ loss with LEP. All costs were calculated using 2010 dollars. An estimated 3.32% of PTBs nationally (corresponding to 15,808 PTBs) in 2010 could be attributed to PM2.5 (PM2.5 > 8.8 μg/m3). Attributable PTBs cost were estimated at $5.09 billion [sensitivity analysis (SA): $2.43-9.66 B], of which $760 million were spent for medical care (SA: $362 M-1.44 B). The estimated PM2.5 attributable fraction (AF) of PTB was highest in urban counties, with highest AFs in the Ohio Valley and the southern United States. PM2.5 may contribute substantially to burden and costs of PTB in the United States, and considerable health and economic benefits could be achieved through environmental regulatory interventions that reduce PM2.5 exposure in pregnancy. Citation: Trasande L, Malecha P, Attina TM. 2016

  16. Models for Building Knowledge in a Technology-Rich Setting: Teacher Education

    Directory of Open Access Journals (Sweden)

    Gregory MacKinnon

    2009-09-01

    Full Text Available Technology offers promising opportunities for creating new types of classroom learning environments. This paper describes three technology models used by teacher education interns: electronic portfolios, negotiative concept mapping, cognote-supported electronic discussions. As implemented in the current study, these models invoke graduated attributes of knowledge building and as such serve as a useful continuum of examples of the potential of technology to assist in promoting progressive knowledge construction. A description of the models is followed by a discussion of the relationship of these classrooms to Knowledge-Building principles. Résumé La technologie offre des possibilités prometteuses pour la création de nouveaux types d’environnements d’apprentissage en classe. Le présent article décrit trois modèles technologiques utilisés par les stagiaires en enseignement : portfolios électroniques, cartographie conceptuelle de négociation, discussions électroniques avec codage. Tels que mis en œuvre dans le cadre de la présente étude, ces modèles font appel à des attributs hiérarchiques de coélaboration des connaissances et constituent donc en eux-mêmes un continuum utile d’exemples illustrant comment la technologie peut aider à encourager l’élaboration progressive des connaissances. Une description des modèles est suivie d’une discussion portant sur la relation de ces classes avec les principes de coélaboration des connaissances.

  17. Multi-Attribute Vickrey Auctions when Utility Functions are Unknown

    NARCIS (Netherlands)

    Máhr, T.; De Weerdt, M.M.

    2006-01-01

    Multi-attribute auctions allow negotiations over multiple attributes besides price. For example in task allocation, service providers can define their service by means of multiple attributes, such as quality of service, deadlines, or delay penalties. Auction mechanisms assume that the players have

  18. Culture, attribution and automaticity: a social cognitive neuroscience view.

    Science.gov (United States)

    Mason, Malia F; Morris, Michael W

    2010-06-01

    A fundamental challenge facing social perceivers is identifying the cause underlying other people's behavior. Evidence indicates that East Asian perceivers are more likely than Western perceivers to reference the social context when attributing a cause to a target person's actions. One outstanding question is whether this reflects a culture's influence on automatic or on controlled components of causal attribution. After reviewing behavioral evidence that culture can shape automatic mental processes as well as controlled reasoning, we discuss the evidence in favor of cultural differences in automatic and controlled components of causal attribution more specifically. We contend that insights emerging from social cognitive neuroscience research can inform this debate. After introducing an attribution framework popular among social neuroscientists, we consider findings relevant to the automaticity of attribution, before speculating how one could use a social neuroscience approach to clarify whether culture affects automatic, controlled or both types of attribution processes.

  19. Association of eHealth literacy with colorectal cancer knowledge and screening practice among internet users in Japan.

    Science.gov (United States)

    Mitsutake, Seigo; Shibata, Ai; Ishii, Kaori; Oka, Koichiro

    2012-11-13

    In rapidly developing Internet-user societies, eHealth literacy has become important in promoting wellness. Although previous studies have observed that poor health literacy is associated with less knowledge and screening practice of colorectal cancer (CRC), little is known about whether eHealth literacy is associated with these variables. The present study examined associations between eHealth literacy, knowledge of CRC, and CRC screening practices. Data were analyzed for 2970 Japanese adults (men, 49.9%; mean age±SD, 39.7±10.9 years) who responded to an Internet-based cross-sectional survey. Knowledge of the definition of CRC, its risk factors and screening practice, previous experience of CRC screening, score on the Japanese version of the eHEALS (J-eHEALS), sociodemographic attributes (sex, age, marital status, educational attainment, and household income level), and frequency of Internet usage were obtained. Sociodemographic attributes and frequency of Internet usage were used as control variables in the multiple regression and logistic regression models. eHealth literacy was positively associated with CRC knowledge (β=.116, increase of 1 point in the eHEALS score signified that participants were 1.03 times (95% CI=1.01-1.05) more likely to undergo CRC screening. Internet users with high eHealth literacy are more likely to have knowledge and previous screening practice related to CRC compared to those with low eHealth literacy.

  20. Quality-Attribute-Based Economic Valuation of Architectural Patterns

    National Research Council Canada - National Science Library

    Ozkaya, Ipek; Kazman, Rick; Klein, Mark

    2007-01-01

    .... Architectural patterns can be used to achieve quality attribute requirements. Consequently, architectural patterns generate value based on the present and future utility of the quality attributes they achieve...

  1. The Role of Empathy in Mental Attribution

    Directory of Open Access Journals (Sweden)

    Brunsteins, Patricia

    2011-05-01

    Full Text Available This work examines in what extent a notion of empathy may clarify mindreading’s debate. Taking into account an interdisciplinary and integrative notion of empathy, compatibility with mental attribution strategies both mental simulation and theory-theory, in non pure versions, is evaluated. Firstly, new empirical research is supposed to contribute strengthening an integrative empathy instead of theory-theory or mental simulation `s points of view. Secondly, new empirical research will bring better tools to distinguish between empathy and simulation. Consequently, the relationship between empathy and mental attribution theories may be better delimited and a full mental attribution theory may possibly be proposed.

  2. The structural approach to shared knowledge: an application to engineering design teams.

    Science.gov (United States)

    Avnet, Mark S; Weigel, Annalisa L

    2013-06-01

    We propose a methodology for analyzing shared knowledge in engineering design teams. Whereas prior work has focused on shared knowledge in small teams at a specific point in time, the model presented here is both scalable and dynamic. By quantifying team members' common views of design drivers, we build a network of shared mental models to reveal the structure of shared knowledge at a snapshot in time. Based on a structural comparison of networks at different points in time, a metric of change in shared knowledge is computed. Analysis of survey data from 12 conceptual space mission design sessions reveals a correlation between change in shared knowledge and each of several system attributes, including system development time, system mass, and technological maturity. From these results, we conclude that an early period of learning and consensus building could be beneficial to the design of engineered systems. Although we do not examine team performance directly, we demonstrate that shared knowledge is related to the technical design and thus provide a foundation for improving design products by incorporating the knowledge and thoughts of the engineering design team into the process.

  3. Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach

    Directory of Open Access Journals (Sweden)

    Jorge L. García-Alcaraz

    2016-02-01

    Full Text Available Usually, agricultural tractor investments are assessed using traditional economic techniques that only involve financial attributes, resulting in reductionist evaluations. However, tractors have qualitative and quantitative attributes that must be simultaneously integrated into the evaluation process. This article reports a hybrid and multi-attribute approach to assessing a set of agricultural tractors based on AHP-TOPSIS. To identify the attributes in the model, a survey including eighteen attributes was given to agricultural machinery salesmen and farmers for determining their importance. The list of attributes was presented to a decision group for a case of study, and their importance was estimated using AHP and integrated into the TOPSIS technique. In this case, one tractor was selected from a set of six alternatives, integrating six attributes in the model: initial cost, annual maintenance cost, liters of diesel per hour, safety of the operator, maintainability and after-sale customer service offered by the supplier. Based on the results obtained, the model can be considered easy to apply and to have good acceptance among farmers and salesmen, as there are no special software requirements for the application.

  4. AVal: an Extensible Attribute-Oriented Programming Validator for Java

    OpenAIRE

    Noguera , Carlos; Pawlak , Renaud

    2007-01-01

    International audience; Attribute Oriented Programming (@OP ) permits programmers to extend the semantics of a base program by annotating it with attributes that are related to a set of concerns. Examples of this are applications that rely on XDoclet (such as Hibernate) or, with the release of Java5's annotations, EJB3. The set of attributes that implements a concern defines a Domain Specific Language, and as such, imposes syntactic and semantic rules on the way that attributes are included i...

  5. Implicational Schemata and the Attribution of Morality.

    Science.gov (United States)

    Reeder, Glenn D.; Spores, John M.

    Attribution of a disposition or trait to a person asserts information about the pattern of that person's behavior. Past research has suggested that a moral disposition implies only moral behavior, while an immoral disposition implies both moral and immoral behavior. The effect of these implicational schemata on attributions of morality was…

  6. A content analysis of depression-related discourses on Sina Weibo: attribution, efficacy, and information sources.

    Science.gov (United States)

    Pan, Jiabao; Liu, Bingjie; Kreps, Gary L

    2018-06-20

    Depression is a mood disorder that may lead to severe outcomes including mental breakdown, self-injury, and suicide. Potential causes of depression include genetic, sociocultural, and individual-level factors. However, public understandings of depression guided by a complex interplay of media and other societal discourses might not be congruent with the scientific knowledge. Misunderstandings of depression can lead to under-treatment and stigmatization of depression. Against this backdrop, this study aims to achieve a holistic understanding of the patterns and dynamics in discourses about depression from various information sources in China by looking at related posts on social media. A content analysis was conducted with 902 posts about depression randomly selected within a three-year period (2014 to 2016) on the mainstream social media platform in China, Sina Weibo. Posts were analyzed with a focus on attributions of and solutions to depression, attitudes towards depression, and efficacy indicated by the posts across various information sources. Results suggested that depression was most often attributed to individual-level factors. Across all the sources, individual-level attributions were often adopted by state-owned media whereas health and academic experts and organizations most often mentioned biological causes of depression. Citizen journalists and unofficial social groups tended to make societal-level attributions. Overall, traditional media posts suggested the lowest efficacy in coping with depression and the most severe negative outcomes as compared with other sources. The dominance of individual-level attributions and solutions regarding depression on Chinese social media on one hand manifests the public's limited understanding of depression and on the other hand, may further constrain adoption of scientific explanations about depression and exacerbate stigmatization towards depressed individuals. Mass media's posts centered on description of severe

  7. Identity and attribution as lenses to understand the relationship ...

    African Journals Online (AJOL)

    Irrespective of social class, those who attributed academic performance to factors outside their control performed less well. Conclusion. The study suggests that interventions are required that help all students to control their academic performance. Attributional retraining (AR) has the potential to assist students who attribute ...

  8. Aggressive and prosocial children's emotion attributions and moral reasoning.

    Science.gov (United States)

    Malti, Tina; Gasser, Luciano; Buchmann, Marlis

    2009-01-01

    Aggressive and prosocial children's emotion attributions and moral reasoning were investigated. Participants were 235 kindergarten children (M=6.2 years) and 136 elementary-school children (M=7.6 years) who were selected as aggressive or prosocial based on (kindergarten) teacher ratings. The children were asked to evaluate hypothetical rule violations, attribute emotions they would feel in the role of the victimizer, and justify their responses. Compared with younger prosocial children, younger aggressive children attributed fewer negative emotions and were more likely to provide sanction-oriented justifications when evaluating rule violations negatively. Furthermore, age-, gender- and context-effects in moral development occurred. The context-effects included both effects of transgression type (i.e., prosocial morality vs. fairness) on emotion attributions and moral reasoning and the effects of the context of moral evaluation and emotion attribution on moral reasoning. Findings are discussed in terms of the role of emotion attributions and moral reasoning as antecedents of children's aggressive and prosocial behavior. Copyright 2008 Wiley-Liss, Inc.

  9. An Analysis of Knowledge Sharing Approaches for Emerging-technology-based Strategic Alliances in Electronic Industry

    Institute of Scientific and Technical Information of China (English)

    LIU Ju; LI Yong-jian

    2006-01-01

    Emerging technologies are now initiating new industries and transforming old ones with tremendous power. They are different games compared with established technologies with distinctive characteristics of knowledge management in knowledge-based and technological-innovation-based competition. How to obtain knowledge advantage and enhance competences by knowledge sharing for emerging-technology-based strategic alliances (ETBSA) is what we concern in this paper. On the basis of our previous work on emerging technologies'distinctive attributes, we counter the wide spread presumption that the primary purpose of strategic alliances is knowledge acquiring by means of learning. We offers new insight into the knowledge sharing approaches of ETBSAs - the knowledge integrating approach by which each member firm integrates its partner's complementary knowledge base into the products and services and maintains its own knowledge specialization at the same time. So that ETBSAs should plan and practice their knowledge sharing strategies from the angle of knowledge integrating rather than knowledge acquiring. A four-dimensional framework is developed to analyze the advantages and disadvantages of these two knowledge sharing approaches. Some cases in electronic industry are introduced to illustrate our point of view.

  10. Attributions and Attitudes of Mothers and Fathers in China.

    Science.gov (United States)

    Chang, Lei; Chen, Bin-Bin; Ji, Lin Qin

    2011-07-01

    OBJECTIVE: The present study examined mothers' and fathers' attributions and attitudes related to parenting in China. DESIGN: Interviews were conducted with 241 pairs of parents to obtain maternal and paternal reports of attributions regarding successes and failures in parent-child interactions and on progressive versus authoritarian attitudes about parenting. RESULTS: Mothers' mean levels of attributions and attitudes did not differ significantly from fathers' mean levels of attributions and attitudes. Significant correlations were found between mothers' and fathers' attributions regarding uncontrollable success, authoritarian attitudes, and modernity of attitudes. CONCLUSIONS: Supporting the cultural evolutionary view that drastic social changes bring about non-conforming and individualistic behavioral tendencies, these findings rectify and expand the existing literature portraying Chinese parenting as uniformly Confucian and traditional.

  11. Attributional "Tunnel Vision" in Patients With Borderline Personality Disorder.

    Science.gov (United States)

    Schilling, Lisa; Moritz, Steffen; Schneider, Brooke; Bierbrodt, Julia; Nagel, Matthias

    2015-12-01

    We aimed to examine the profile of interpersonal attributions in BPD. We hypothesized that patients show more mono-causal and internal attributions than healthy controls. A revised version of the Internal, Personal, Situational and Attributions Questionnaire was assessed in 30 BPD patients and 30 healthy controls. BPD patients and controls differed significantly in their attributional pattern. Patients displayed more mono-causal inferences, that is, they had difficulties considering alternative explanatory factors. For negative events, patients made more internal attributions compared to healthy controls. We concluded that mono-causal "trapped" thinking might contribute to (interpersonal) problems in BPD patients by fostering impulsive consequential behaviors, for example, harming one's self or others. A self-blaming tendency likely promotes depressive symptoms and low self-esteem.

  12. Medical Disease or Moral Defect? Stigma Attribution and Cultural Models of Addiction Causality in a University Population.

    Science.gov (United States)

    Henderson, Nicole L; Dressler, William W

    2017-12-01

    This study examines the knowledge individuals use to make judgments about persons with substance use disorder. First, we show that there is a cultural model of addiction causality that is both shared and contested. Second, we examine how individuals' understanding of that model is associated with stigma attribution. Research was conducted among undergraduate students at the University of Alabama. College students in the 18-25 age range are especially at risk for developing substance use disorder, and they are, perhaps more than any other population group, intensely targeted by drug education. The elicited cultural model includes different types of causes distributed across five distinct themes: Biological, Self-Medication, Familial, Social, and Hedonistic. Though there was cultural consensus among respondents overall, residual agreement analysis showed that the cultural model of addiction causality is a multicentric domain. Two centers of the model, the moral and the medical, were discovered. Differing adherence to these centers is associated with the level of stigma attributed towards individuals with substance use disorder. The results suggest that current approaches to substance use education could contribute to stigma attribution, which may or may not be inadvertent. The significance of these results for both theory and the treatment of addiction are discussed.

  13. Network structure exploration in networks with node attributes

    Science.gov (United States)

    Chen, Yi; Wang, Xiaolong; Bu, Junzhao; Tang, Buzhou; Xiang, Xin

    2016-05-01

    Complex networks provide a powerful way to represent complex systems and have been widely studied during the past several years. One of the most important tasks of network analysis is to detect structures (also called structural regularities) embedded in networks by determining group number and group partition. Most of network structure exploration models only consider network links. However, in real world networks, nodes may have attributes that are useful for network structure exploration. In this paper, we propose a novel Bayesian nonparametric (BNP) model to explore structural regularities in networks with node attributes, called Bayesian nonparametric attribute (BNPA) model. This model does not only take full advantage of both links between nodes and node attributes for group partition via shared hidden variables, but also determine group number automatically via the Bayesian nonparametric theory. Experiments conducted on a number of real and synthetic networks show that our BNPA model is able to automatically explore structural regularities in networks with node attributes and is competitive with other state-of-the-art models.

  14. Knowledge Safety – Insights from the SME Sector

    Directory of Open Access Journals (Sweden)

    Małgorzata Zięba

    2017-11-01

    Full Text Available Purpose: This paper aims to explore the topic of knowledge safety, defined as the state of knowledge being safe from loss, leakage, attrition, oblivion, waste or theft. The paper first presents a theoretical background and review of previous studies on knowledge loss and ways of overcoming it, and then illustrates the topic of knowledge safety with ten case studies from the small and medium-sized enterprises (SMEs sector. Methodology: The paper is based on an analysis of Knowledge Management (KM literature devoted to knowledge loss and its potential types in companies, and on the results of case study research. Knowledge safety was first defined and contrasted with other terms, and then examined in 10 selected SMEs. The research resulted in a clarification of what SMEs understand by the term of “knowledge safety” and what kind of measures they take to ensure it. Findings: As the analysis shows, the examined SMEs attribute diversified significance to the issue of knowledge safety. For some of them, such problem does not exist at all and they state that they can ensure knowledge safety in all aspects of their operations. Some companies perceive it mainly through the safety of the knowledge stored in electronic databases, while others link it with the human factor only. Research limitations: Research results are limited to ten companies operating in Poland. As such, they cannot illustrate the whole picture of the existing small or medium-sized companies. Research implications: The findings of both literature review and case study analysis indicate that there is a need to further examine the issue of knowledge safety by analysing the potential factors which may endanger knowledge safety and the methods to eliminate such risks. Practical implications: The paper examines important aspects of knowledge safety and provides guidelines on how it can be ensured by managers or owners of SMEs. Originality/value: The term of knowledge safety has been

  15. Knowledge about knowledge

    International Nuclear Information System (INIS)

    Ramm, Hans Henrik

    2006-01-01

    Technology and knowledge make up the knowledge capital that has been so essential to the oil and gas industry's value creation, competitiveness and internationalization. Report prepared for the Norwegian Oil Industry Association (OLF) and The Norwegian Society of Chartered Technical and Scientific Professionals (Tekna), on the Norwegian petroleum cluster as an environment for creating knowledge capital from human capital, how fiscal and other framework conditions may influence the building of knowledge capital, the long-term perspectives for the petroleum cluster, what Norwegian society can learn from the experiences in the petroleum cluster, and the importance of gaining more knowledge about the functionality of knowledge for increased value creation (author) (ml)

  16. Scientists' views about attribution of global warming.

    Science.gov (United States)

    Verheggen, Bart; Strengers, Bart; Cook, John; van Dorland, Rob; Vringer, Kees; Peters, Jeroen; Visser, Hans; Meyer, Leo

    2014-08-19

    Results are presented from a survey held among 1868 scientists studying various aspects of climate change, including physical climate, climate impacts, and mitigation. The survey was unique in its size, broadness and level of detail. Consistent with other research, we found that, as the level of expertise in climate science grew, so too did the level of agreement on anthropogenic causation. 90% of respondents with more than 10 climate-related peer-reviewed publications (about half of all respondents), explicitly agreed with anthropogenic greenhouse gases (GHGs) being the dominant driver of recent global warming. The respondents' quantitative estimate of the GHG contribution appeared to strongly depend on their judgment or knowledge of the cooling effect of aerosols. The phrasing of the IPCC attribution statement in its fourth assessment report (AR4)-providing a lower limit for the isolated GHG contribution-may have led to an underestimation of the GHG influence on recent warming. The phrasing was improved in AR5. We also report on the respondents' views on other factors contributing to global warming; of these Land Use and Land Cover Change (LULCC) was considered the most important. Respondents who characterized human influence on climate as insignificant, reported having had the most frequent media coverage regarding their views on climate change.

  17. Impaired Semantic Knowledge Underlies the Reduced Verbal Short-Term Storage Capacity in Alzheimer's Disease

    Science.gov (United States)

    Peters, Frederic; Majerus, Steve; De Baerdemaeker, Julie; Salmon, Eric; Collette, Fabienne

    2009-01-01

    A decrease in verbal short-term memory (STM) capacity is consistently observed in patients with Alzheimer's disease (AD). Although this impairment has been mainly attributed to attentional deficits during encoding and maintenance, the progressive deterioration of semantic knowledge in early stages of AD may also be an important determinant of poor…

  18. Phenomenology and Meaning Attribution

    African Journals Online (AJOL)

    John Paley. (2017). Phenomenology as Qualitative Research: A Critical Analysis of Meaning Attribution. ... basic philosophical nature of phenomenological meaning and inquiry, and that he not ... In keeping with the title of my book, Researching. Lived Experience ...... a quantitative social science that can make generalizing.

  19. Final Technical Report on Quantifying Dependability Attributes of Software Based Safety Critical Instrumentation and Control Systems in Nuclear Power Plants

    International Nuclear Information System (INIS)

    Smidts, Carol; Huang, Fuqun; Li, Boyuan; Li, Xiang

    2016-01-01

    -- measures and methods are needed to assess dependability attributes early on, as well as throughout the life-cycle process of software development. In this research, extensive expert opinion elicitation is used to identify the measures and methods for assessing software dependability. Semi-structured questionnaires were designed to elicit expert knowledge. A new notation system, Causal Mechanism Graphing, was developed to extract and represent such knowledge. The Causal Mechanism Graphs were merged, thus, obtaining the consensus knowledge shared by the domain experts. In this report, we focus on how software contributes to dependability. However, software dependability is not discussed separately from the context of systems or socio-technical systems. Specifically, this report focuses on software dependability, reliability, safety, security, availability, and maintainability. Our research was conducted in the sequence of stages found below. Each stage is further examined in its corresponding chapter. Stage 1 (Chapter 2): Elicitation of causal maps describing the dependencies between dependability attributes. These causal maps were constructed using expert opinion elicitation. This chapter describes the expert opinion elicitation process, the questionnaire design, the causal map construction method and the causal maps obtained. Stage 2 (Chapter 3): Elicitation of the causal map describing the occurrence of the event of interest for each dependability attribute. The causal mechanisms for the 'event of interest' were extracted for each of the software dependability attributes. The 'event of interest' for a dependability attribute is generally considered to be the 'attribute failure', e.g. security failure. The extraction was based on the analysis of expert elicitation results obtained in Stage 1. Stage 3 (Chapter 4): Identification of relevant measurements. Measures for the 'events of interest' and their causal mechanisms were obtained

  20. Final Technical Report on Quantifying Dependability Attributes of Software Based Safety Critical Instrumentation and Control Systems in Nuclear Power Plants

    Energy Technology Data Exchange (ETDEWEB)

    Smidts, Carol [The Ohio State Univ., Columbus, OH (United States); Huang, Funqun [The Ohio State Univ., Columbus, OH (United States); Li, Boyuan [The Ohio State Univ., Columbus, OH (United States); Li, Xiang [The Ohio State Univ., Columbus, OH (United States)

    2016-03-25

    -- measures and methods are needed to assess dependability attributes early on, as well as throughout the life-cycle process of software development. In this research, extensive expert opinion elicitation is used to identify the measures and methods for assessing software dependability. Semi-structured questionnaires were designed to elicit expert knowledge. A new notation system, Causal Mechanism Graphing, was developed to extract and represent such knowledge. The Causal Mechanism Graphs were merged, thus, obtaining the consensus knowledge shared by the domain experts. In this report, we focus on how software contributes to dependability. However, software dependability is not discussed separately from the context of systems or socio-technical systems. Specifically, this report focuses on software dependability, reliability, safety, security, availability, and maintainability. Our research was conducted in the sequence of stages found below. Each stage is further examined in its corresponding chapter. Stage 1 (Chapter 2): Elicitation of causal maps describing the dependencies between dependability attributes. These causal maps were constructed using expert opinion elicitation. This chapter describes the expert opinion elicitation process, the questionnaire design, the causal map construction method and the causal maps obtained. Stage 2 (Chapter 3): Elicitation of the causal map describing the occurrence of the event of interest for each dependability attribute. The causal mechanisms for the “event of interest” were extracted for each of the software dependability attributes. The “event of interest” for a dependability attribute is generally considered to be the “attribute failure”, e.g. security failure. The extraction was based on the analysis of expert elicitation results obtained in Stage 1. Stage 3 (Chapter 4): Identification of relevant measurements. Measures for the “events of interest” and their causal mechanisms were obtained from expert opinion

  1. A Review of Gamification in Technological Pedagogical Content Knowledge

    Science.gov (United States)

    Prabawa, H. W.

    2017-02-01

    This paper review 10 papers that relating to gamification adoption in developing technological pedagogical content knowledge (TPACK) framework. Technological developments lately led to the trend of increased use of ICT in the learning process, one of which is gamification. Gamification is the concept of applying game mechanics and game design techniques to engage and motivate people to achieve their goals. Gamification in education as an intersection of learning and fun. The problem is that not all game’s attributes suitable for use in presents a teaching material. TPACK is a framework for the teacher that described a complex interaction among three bodies of knowledge : content, pedagogy and technology. TPACK engagement has an impact on the teacher mastery in dimension of teaching material content, in addition to improve teachers skill in developing technology in classroom learning.

  2. Source attribution of human campylobacteriosis in Denmark.

    Science.gov (United States)

    Boysen, L; Rosenquist, H; Larsson, J T; Nielsen, E M; Sørensen, G; Nordentoft, S; Hald, T

    2014-08-01

    SUMMARY This study assesses the contribution of different sources of human campylobacteriosis in Denmark using two different source-attribution approaches. In total, 794 non-human isolates and 406 isolates from human cases (domestic, travel related, and cases with unknown travel history) were collected. Isolates were characterized by multilocus sequence typing, flaA typing and susceptibility to antibiotics. Both models used indicate that the major burden of human campylobacteriosis in Denmark originates from the domestic broiler chicken reservoir. The second most important reservoir was found to be cattle. The Asymmetric Island model attributed 52% [95% credibility interval (CrI) 37-67] to Danish chicken, 17% (95% CrI 3-33) to imported chicken, and 17% (95% CrI 7-28) to cattle. Similarly, the Campylobacter source-attribution model apportioned 38% (95% CrI 28-47) to Danish chicken, 14% (95% CrI 10-18) to imported chicken, and 16% (95% CrI 7-25) to cattle. The addition of flaA type as an extra discriminatory typing parameter did not change the attribution of cases markedly.

  3. Hostile Attribution Bias Mediates the Relationship Between Structural Variations in the Left Middle Frontal Gyrus and Trait Angry Rumination

    Directory of Open Access Journals (Sweden)

    Yueyue Wang

    2018-04-01

    Full Text Available Angry rumination is a common mental phenomenon which may lead to negative social behaviors such as aggression. Although numerous neuroimaging studies have focused on brain area activation during angry rumination, to our knowledge no study has examined the neuroanatomical and cognitive mechanisms of this process. In this study, we conducted a voxel-based morphometry analysis, using a region of interest analysis to identify the structural and cognitive mechanisms underlying individual differences in trait angry rumination (as measured by the Angry Rumination Scale in a sample of 82 undergraduate students. We found that angry rumination was positively correlated with gray matter density in the left middle frontal gyrus (left-MFG, which is implicated in inhibition control, working memory, and emotional regulation. The mediation analysis further revealed that hostile attribution bias (as measured by the Social Information Processing–Attribution Bias Questionnaire acted as a cognitive mechanism underlying the positive association between the left-MFG gray matter density and trait angry rumination. These findings suggest that hostile attribution bias may contribute to trait angry rumination, while the left-MFG may play an important role in the development of hostile attribution bias and trait angry rumination. The study reveals the brain mechanisms of trait angry rumination and plays a role in revealing the cognitive mechanisms of the development of trait angry rumination.

  4. Attribution of extreme weather and climate-related events.

    Science.gov (United States)

    Stott, Peter A; Christidis, Nikolaos; Otto, Friederike E L; Sun, Ying; Vanderlinden, Jean-Paul; van Oldenborgh, Geert Jan; Vautard, Robert; von Storch, Hans; Walton, Peter; Yiou, Pascal; Zwiers, Francis W

    2016-01-01

    Extreme weather and climate-related events occur in a particular place, by definition, infrequently. It is therefore challenging to detect systematic changes in their occurrence given the relative shortness of observational records. However, there is a clear interest from outside the climate science community in the extent to which recent damaging extreme events can be linked to human-induced climate change or natural climate variability. Event attribution studies seek to determine to what extent anthropogenic climate change has altered the probability or magnitude of particular events. They have shown clear evidence for human influence having increased the probability of many extremely warm seasonal temperatures and reduced the probability of extremely cold seasonal temperatures in many parts of the world. The evidence for human influence on the probability of extreme precipitation events, droughts, and storms is more mixed. Although the science of event attribution has developed rapidly in recent years, geographical coverage of events remains patchy and based on the interests and capabilities of individual research groups. The development of operational event attribution would allow a more timely and methodical production of attribution assessments than currently obtained on an ad hoc basis. For event attribution assessments to be most useful, remaining scientific uncertainties need to be robustly assessed and the results clearly communicated. This requires the continuing development of methodologies to assess the reliability of event attribution results and further work to understand the potential utility of event attribution for stakeholder groups and decision makers. WIREs Clim Change 2016, 7:23-41. doi: 10.1002/wcc.380 For further resources related to this article, please visit the WIREs website.

  5. Which Personality Attributes Are Most Important in the Workplace?

    Science.gov (United States)

    Sackett, Paul R; Walmsley, Philip T

    2014-09-01

    Employees face a variety of work demands that place a premium on personal attributes, such as the degree to which they can be depended on to work independently, deal with stress, and interact positively with coworkers and customers. We examine evidence for the importance of these personality attributes using research strategies intended to answer three fundamental questions, including (a) how well does employees' standing on these attributes predict job performance?, (b) what types of attributes do employers seek to evaluate in interviews when considering applicants?, and (c) what types of attributes are rated as important for performance in a broad sampling of occupations across the U.S. economy? We summarize and integrate results from these three strategies using the Big Five personality dimensions as our organizing framework. Our findings indicate that personal attributes related to Conscientiousness and Agreeableness are important for success across many jobs, spanning across low to high levels of job complexity, training, and experience necessary to qualify for employment. The strategies lead to differing conclusions about the relative importance of Emotional Stability and Extraversion. We note implications for job seekers, for interventions aimed at changing standing on these attributes, and for employers. © The Author(s) 2014.

  6. Attribute-based classification for zero-shot visual object categorization.

    Science.gov (United States)

    Lampert, Christoph H; Nickisch, Hannes; Harmeling, Stefan

    2014-03-01

    We study the problem of object recognition for categories for which we have no training examples, a task also called zero--data or zero-shot learning. This situation has hardly been studied in computer vision research, even though it occurs frequently; the world contains tens of thousands of different object classes, and image collections have been formed and suitably annotated for only a few of them. To tackle the problem, we introduce attribute-based classification: Objects are identified based on a high-level description that is phrased in terms of semantic attributes, such as the object's color or shape. Because the identification of each such property transcends the specific learning task at hand, the attribute classifiers can be prelearned independently, for example, from existing image data sets unrelated to the current task. Afterward, new classes can be detected based on their attribute representation, without the need for a new training phase. In this paper, we also introduce a new data set, Animals with Attributes, of over 30,000 images of 50 animal classes, annotated with 85 semantic attributes. Extensive experiments on this and two more data sets show that attribute-based classification indeed is able to categorize images without access to any training images of the target classes.

  7. Did She Jump Because She Was the Big Sister or Because the Trampoline Was Safe? Causal Inference and the Development of Social Attribution

    Science.gov (United States)

    Seiver, Elizabeth; Gopnik, Alison; Goodman, Noah D.

    2013-01-01

    Children rely on both evidence and prior knowledge to make physical causal inferences; this study explores whether they make attributions about others' behavior in the same manner. A total of one hundred and fifty-nine 4- and 6-year-olds saw 2 dolls interacting with 2 activities, and explained the dolls' actions. In the person condition, each doll…

  8. Controlling attribute effect in linear regression

    KAUST Repository

    Calders, Toon; Karim, Asim A.; Kamiran, Faisal; Ali, Wasif Mohammad; Zhang, Xiangliang

    2013-01-01

    In data mining we often have to learn from biased data, because, for instance, data comes from different batches or there was a gender or racial bias in the collection of social data. In some applications it may be necessary to explicitly control this bias in the models we learn from the data. This paper is the first to study learning linear regression models under constraints that control the biasing effect of a given attribute such as gender or batch number. We show how propensity modeling can be used for factoring out the part of the bias that can be justified by externally provided explanatory attributes. Then we analytically derive linear models that minimize squared error while controlling the bias by imposing constraints on the mean outcome or residuals of the models. Experiments with discrimination-aware crime prediction and batch effect normalization tasks show that the proposed techniques are successful in controlling attribute effects in linear regression models. © 2013 IEEE.

  9. Controlling attribute effect in linear regression

    KAUST Repository

    Calders, Toon

    2013-12-01

    In data mining we often have to learn from biased data, because, for instance, data comes from different batches or there was a gender or racial bias in the collection of social data. In some applications it may be necessary to explicitly control this bias in the models we learn from the data. This paper is the first to study learning linear regression models under constraints that control the biasing effect of a given attribute such as gender or batch number. We show how propensity modeling can be used for factoring out the part of the bias that can be justified by externally provided explanatory attributes. Then we analytically derive linear models that minimize squared error while controlling the bias by imposing constraints on the mean outcome or residuals of the models. Experiments with discrimination-aware crime prediction and batch effect normalization tasks show that the proposed techniques are successful in controlling attribute effects in linear regression models. © 2013 IEEE.

  10. Attributes Heeded When Representing an Osmosis Problem.

    Science.gov (United States)

    Zuckerman, June Trop

    Eighteen high school science students were involved in a study to determine what attributes in the problem statement they need when representing a typical osmosis problem. In order to realize this goal students were asked to solve problems aloud and to explain their answers. Included as a part of the results are the attributes that the students…

  11. Ravens at Play

    Directory of Open Access Journals (Sweden)

    Deborah Bird Rose

    2011-09-01

    Full Text Available  ‘We were driving through Death Valley, an American-Australian and two Aussies, taking the scenic route from Las Vegas to Santa Cruz.’ This multi-voiced account of multispecies encounters along a highway takes up the challenge of playful and humorous writing that is as well deeply serious and theoretically provocative. Our travels brought us into what Donna Haraway calls the contact zone: a region of recognition and response. The contact zone is a place of significant questions: ‘Who are you, and so who are we? Here we are, and so what are we to become?’ Events were everything in this ecology of play, in which the movements of all the actors involved the material field in its entirety. We were brought into dances of approach and withdrawal, dances emerging directly, to paraphrase Brian Massumi, from the dynamic relation between a myriad of charged particles.

  12. A longitudinal twin study of the direction of effects between ADHD symptoms and IQ.

    Science.gov (United States)

    Rommel, Anna Sophie; Rijsdijk, Frühling; Greven, Corina U; Asherson, Philip; Kuntsi, Jonna

    2015-01-01

    While the negative association between ADHD symptoms and IQ is well documented, our knowledge about the direction and aetiology of this association is limited. Here, we examine the association of ADHD symptoms with verbal and performance IQ longitudinally in a population-based sample of twins. In a population-based sample of 4,771 twin pairs, DSM-IV ADHD symptoms were obtained from the Conners' Parent Rating Scale-Revised. Verbal (vocabulary) and performance (Raven's Progressive Matrices) IQ were assessed online. ADHD symptom ratings and IQ scores were obtained at ages 12, 14 and 16 years. Making use of the genetic sensitivity and time-ordered nature of our data, we use a cross-lagged model to examine the direction of effects, while modelling the aetiologies of the association between ADHD symptoms with vocabulary and Raven's scores over time. Although time-specific aetiological influences emerged for each trait at ages 14 and 16 years, the aetiological factors involved in the association between ADHD symptoms and IQ were stable over time. ADHD symptoms and IQ scores significantly predicted each other over time. ADHD symptoms at age 12 years were a significantly stronger predictor of vocabulary and Raven's scores at age 14 years than vice versa, whereas no differential predictive effects emerged from age 14 to 16 years. The results suggest that ADHD symptoms may put adolescents at risk for decreased IQ scores. Persistent genetic influences seem to underlie the association of ADHD symptoms and IQ over time. Early intervention is likely to be key to reducing ADHD symptoms and the associated risk for lower IQ.

  13. Secure Data Access Control for Fog Computing Based on Multi-Authority Attribute-Based Signcryption with Computation Outsourcing and Attribute Revocation.

    Science.gov (United States)

    Xu, Qian; Tan, Chengxiang; Fan, Zhijie; Zhu, Wenye; Xiao, Ya; Cheng, Fujia

    2018-05-17

    Nowadays, fog computing provides computation, storage, and application services to end users in the Internet of Things. One of the major concerns in fog computing systems is how fine-grained access control can be imposed. As a logical combination of attribute-based encryption and attribute-based signature, Attribute-based Signcryption (ABSC) can provide confidentiality and anonymous authentication for sensitive data and is more efficient than traditional "encrypt-then-sign" or "sign-then-encrypt" strategy. Thus, ABSC is suitable for fine-grained access control in a semi-trusted cloud environment and is gaining more and more attention recently. However, in many existing ABSC systems, the computation cost required for the end users in signcryption and designcryption is linear with the complexity of signing and encryption access policy. Moreover, only a single authority that is responsible for attribute management and key generation exists in the previous proposed ABSC schemes, whereas in reality, mostly, different authorities monitor different attributes of the user. In this paper, we propose OMDAC-ABSC, a novel data access control scheme based on Ciphertext-Policy ABSC, to provide data confidentiality, fine-grained control, and anonymous authentication in a multi-authority fog computing system. The signcryption and designcryption overhead for the user is significantly reduced by outsourcing the undesirable computation operations to fog nodes. The proposed scheme is proven to be secure in the standard model and can provide attribute revocation and public verifiability. The security analysis, asymptotic complexity comparison, and implementation results indicate that our construction can balance the security goals with practical efficiency in computation.

  14. Sensory and semantic activations evoked by action attributes of manipulable objects: Evidence from ERPs

    Science.gov (United States)

    Lee, Chia-lin; Huang, Hsu-Wen; Federmeier, Kara D.; Buxbaum, Laurel J.

    2018-01-01

    “Two route” theories of object-related action processing posit different temporal activation profiles of grasp-to-move actions (rapidly evoked based on object structure) versus skilled use actions (more slowly activated based on semantic knowledge). We capitalized on the exquisite temporal resolution and multidimensionality of Event-Related Potentials (ERPs) to directly test this hypothesis. Participants viewed manipulable objects (e.g., calculator) preceded by objects sharing either “grasp”, “use”, or no action attributes (e.g., bar of soap, keyboard, earring, respectively), as well as by action-unrelated but taxonomically-related objects (e.g., abacus); participants judged whether the two objects were related. The results showed more positive responses to “grasp-to-move” primed objects than “skilled use” primed objects or unprimed objects starting in the P1 (0–150 ms) time window and continuing onto the subsequent N1 and P2 components (150–300 ms), suggesting that only “grasp-to-move”, but not “skilled use”, actions may facilitate visual attention to object attributes. Furthermore, reliably reduced N400s (300–500 ms), an index of semantic processing, were observed to taxonomically primed and “skilled use” primed objects relative to unprimed objects, suggesting that “skilled use” action attributes are a component of distributed, multimodal semantic representations of objects. Together, our findings provide evidence supporting two-route theories by demonstrating that “grasp-to-move” and “skilled use” actions impact different aspects of object processing and highlight the relationship of “skilled use” information to other aspects of semantic memory. PMID:29183777

  15. Towards Intelligence and Flexibility of Learning and Knowledge Testing Environments

    Directory of Open Access Journals (Sweden)

    Nerijus AUKSTAKALNIS

    2006-02-01

    Full Text Available The proposed goal oriented knowledge acquisition and assessment are based on the flexible educational model and allows to implement an adaptive control of the enhanced learning process according to the requirements of student's knowledge level, his state of cognition and subject learning history. The enhanced learner knowledge model specifies how the cognition state of the user will be achieved step by step. The use case actions definition is a starting point of the specification, which depends on different levels of learning scenarios and user cognition sub goals. The use case actions specification is used as a basis to set the requirements for service software specification and attributes of learning objects respectively. The paper presents the enhanced architecture of the student self-evaluation and on-line assessment system TestTool. The system is explored as an assessment engine capable of supporting and improving the individualized intelligent goal oriented self-instructional and simulation based mode of learning, grounded on the GRID distributed service architecture.

  16. Diagnosis and management of headache attributed to airplane travel.

    Science.gov (United States)

    Mainardi, Federico; Maggioni, Ferdinando; Lisotto, Carlo; Zanchin, Giorgio

    2013-03-01

    The headache attributed to airplane travel, also named "airplane headache", is characterized by the sudden onset of a severe head pain exclusively in relation to airplane flights, mainly during the landing phase. Secondary causes, such as upper respiratory tract infections or acute sinusitis, must be ruled out. Although its cause is not thoroughly understood, sinus barotrauma should be reasonably involved in the pathophysiological mechanisms. Furthermore, in the current International Classification of Headache Disorders, rapid descent from high altitude is not considered as a possible cause of headache, although the onset of such pain in airplane travellers or aviators has been well known since the beginning of the aviation era. On the basis of a survey we conducted with the courteous cooperation of people who had experienced this type of headache, we proposed diagnostic criteria to be added to the forthcoming revision of the International Classification of Headache Disorders. Their formal validation would favour further studies aimed at improving knowledge of the pathophysiological mechanisms involved and at implementing preventative measures.

  17. Main designations and attributions

    International Nuclear Information System (INIS)

    2010-01-01

    The chapter presents the main designations and attributions of the LNMRI - Brazilian National Laboratory of Metrology of Ionizing Radiation, the Cooperative Center in Radiation Protection and Medical Preparations for Accidents with Radiation; the Treaty for fully banning of nuclear tests and the Regional Center for Training of IAEA

  18. An affinity-based evolutionary model of the diffusion of knowledge

    Directory of Open Access Journals (Sweden)

    Roberto Luiz Souza Monteiro

    2015-08-01

    Full Text Available In this paper, we present a theoretical model that can simulate the diffusion of knowledge in social networks using an evolutionary approach. We assume that social networks built on processes of collaboration and cooperation among stakeholders (people and companies evolve like living organisms, as described by Charles Darwin in The Origin of Species. We propose an evolutionary model of the diffusion of knowledge, in which stakeholders are knowledge propagators and/or receivers, depending on their customizable attributes. We consider each attribute as a gene that constitutes a chromosome. As in Darwin's theory, the proposed model achieves the processes of crossover and mutation between stakeholders for several generations, until a maximum number of generations is reached. The main contribution of the model is the creation of an environment that is conducive to the study of the dynamics of network cooperation, which uses the stakeholders’ attributes as parameters. Modelo evolutivo de difusión del conocimiento basado en afinidad Resumen En este artículo presentamos un modelo teórico capaz de simular la difusión del conocimiento en redes sociales, usando una aproximación evolutiva. Partimos del presupuesto que redes sociales constituidas por procesos de cooperación entre actores (e.g. personas, empresas, etc. evolucionan de forma semejante a los organismos vivos, como ha sido descrito por Charles Darwin en El Origen de las Especies. Proponemos un modelo evolutivo de difusión del conocimiento, donde los actores son propagadores y/o retenedores de conocimiento, dependiendo de atributos ajustables que cada actor presenta. Consideramos cada atributo un gen que constituye a un cromosoma. Similar a la teoría de Darwin, el modelo propuesto realiza los procesos de crossover y mutación entre los actores por diversas generaciones, hasta que se obtiene un número máximo de generaciones. La principal contribución del modelo es la creación de un

  19. Homogeneity of Prototypical Attributes in Soccer Teams

    Directory of Open Access Journals (Sweden)

    Christian Zepp

    2015-09-01

    Full Text Available Research indicates that the homogeneous perception of prototypical attributes influences several intragroup processes. The aim of the present study was to describe the homogeneous perception of the prototype and to identify specific prototypical subcategories, which are perceived as homogeneous within sport teams. The sample consists of N = 20 soccer teams with a total of N = 278 athletes (age M = 23.5 years, SD = 5.0 years. The results reveal that subcategories describing the cohesiveness of the team and motivational attributes are mentioned homogeneously within sport teams. In addition, gender, identification, team size, and the championship ranking significantly correlate with the homogeneous perception of prototypical attributes. The results are discussed on the basis of theoretical and practical implications.

  20. Corporate apologia and the attribution of guilt

    DEFF Research Database (Denmark)

    Bülow-Møller, Anne Marie

    This paper argues that in the difficult disciplines of crisis communication and image restoration, attribution theory has explanatory value. Corporate apologia - the explanations that an organisation offers after an attack - differs with the type of crisis it is designed to diffuse, and if the cr......, and if the crisis concerns legitimacy, the art is to shift the public attribution of guilt or responsibility. The case of Arla vs Hirtshals is used to demonstrate how a concerted effort in impression management succeeded in just such a shift.......This paper argues that in the difficult disciplines of crisis communication and image restoration, attribution theory has explanatory value. Corporate apologia - the explanations that an organisation offers after an attack - differs with the type of crisis it is designed to diffuse...

  1. Identifying Key Attributes for Protein Beverages.

    Science.gov (United States)

    Oltman, A E; Lopetcharat, K; Bastian, E; Drake, M A

    2015-06-01

    This study identified key attributes of protein beverages and evaluated effects of priming on liking of protein beverages. An adaptive choice-based conjoint study was conducted along with Kano analysis to gain insight on protein beverage consumers (n = 432). Attributes evaluated included label claim, protein type, amount of protein, carbohydrates, sweeteners, and metabolic benefits. Utility scores for levels and importance scores for attributes were determined. Subsequently, two pairs of clear acidic whey protein beverages were manufactured that differed by age of protein source or the amount of whey protein per serving. Beverages were evaluated by 151 consumers on two occasions with or without priming statements. One priming statement declared "great flavor," the other priming statement declared 20 g protein per serving. A two way analysis of variance was applied to discern the role of each priming statement. The most important attribute for protein beverages was sweetener type, followed by amount of protein, followed by type of protein followed by label claim. Beverages with whey protein, naturally sweetened, reduced sugar and ≥15 g protein per serving were most desired. Three consumer clusters were identified, differentiated by their preferences for protein type, sweetener and amount of protein. Priming statements positively impacted concept liking (P 0.05). Consistent with trained panel profiles of increased cardboard flavor with higher protein content, consumers liked beverages with 10 g protein more than beverages with 20 g protein (6.8 compared with 5.7, P appeal. © 2015 Institute of Food Technologists®

  2. The Development and Validation of a Knowledge Activities Scale for the Information Professionals in University Libraries

    Directory of Open Access Journals (Sweden)

    Yuan-Ho Huang

    2013-12-01

    Full Text Available This research aims to develop a scale for measuring knowledge activities of information professionals which include the attributes for positive and negative, individual and group. The research processes include interviewing several experts, the exploratory analysis of the pre-test, and the confirmatory factor analysis of the formal questionnaire collecting from academic librarians. The result indicates that there are four factors for individual level, including knowledge absorption, knowledge share, knowledge hampering, and knowledge transfer; and three factors for group level, including knowledge enlarging, knowledge clustering, and knowledge initiating. The scale from both individual and group level demonstrated robust psychometric properties, with acceptable levels of reliability and validity. Library managers could adopt the scales to examine the extent to knowledge activities in order to design a future plan according to the status of the existing library for promoting knowledge management. Furthermore, the result of t-test and ANOVA revealed some facts that we need to consider some business strategies we need to improve for managing human resources. [Article content in Chinese

  3. Examining Science Teachers' Development of Interdisciplinary Science Inquiry Pedagogical Knowledge and Practices

    Science.gov (United States)

    Chowdhary, Bhawna; Liu, Xiufeng; Yerrick, Randy; Smith, Erica; Grant, Brooke

    2014-12-01

    The current literature relates to how teachers develop knowledge and practice of science inquiry, but little has been reported on how teachers develop interdisciplinary science inquiry (ISI) knowledge and practice. This study examines the effect of university research experiences, ongoing professional development, and in-school support on teachers' development of ISI pedagogical knowledge and practices. It centers on documenting diverse teachers' journeys of experiencing ISI as well as developing knowledge of ISI. It was found that there was variation in ISI understanding and practice among the teachers as a result of the combination of teachers' experiences, beliefs, and participation. Thus, in order to help teachers develop ISI knowledge and pedagogy, barriers to ISI knowledge development and implementation must also be addressed. Professional developers must articulate clear program goals to all stakeholders including an explicit definition of ISI and the ability to recognize ISI attributes during research experiences as well as during classroom implementation. Teachers must also be held accountable for participation and reflection in all aspects of professional development. Program developers must also take into consideration teachers' needs, attitudes, and beliefs toward their students when expecting changes in teachers' cognition and behavior to teach inquiry-rich challenging science.

  4. Japanese Pupils’ Attribution of their Perceived Mathematics Performance and the Relationships Between their Attribution of Mathematics Performance and their Affective Attitudes Promoted by Different Teaching Methods

    Directory of Open Access Journals (Sweden)

    Tomomi Saeki

    2006-04-01

    Full Text Available This research used a questionnaire survey to explore the relationship between pupils’ attribution of their perceived mathematics performance and their affective attitudes towards mathematics learning as promoted by the different teaching methods they were exposed to in their mathematics classes. Both 5th and 8th graders attributed their success in learning mathematics to effort, although support from the teacher and support at home were also perceived as important factors in their success. The 5th graders and 8th graders overall gave effort-based attributions in the case of failure, while for 5th graders, ability was regarded as being as important as effort, in attributing failure in mathematics learning. Pupils who attributed their success in mathematics learning to effort, support at school and home, preferred teacher explanation and reading a textbook as learning strategies, while those attributing it to their ability preferred Individual work. Where pupils attributed success to luck, this seemed to have a negative effect on their affective attitudes towards mathematics learning as promoted by different teaching methods, while attributing failure to luck seemed to have positive effect. Attributing failure to poor teaching seemed to have a negative effect on their perception of teacher explanation. The relationships between pupil effort or ability based attributions of failure and their preference for different teaching methods were not clear. Adopting various teaching methods in mathematics classes would seem to support pupils who have different attribution styles.

  5. Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological features

    Directory of Open Access Journals (Sweden)

    Bissell MJ

    2006-03-01

    Full Text Available Abstract Background Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a user-defined list of genes and/or proteins. The strategy exploits annotation data present in gene-centered corpora and utilizes ideas from statistical information retrieval to discover and characterize properties shared by subsets of the list. The practical utility of this method is demonstrated by employing it in a retrospective study of two non-overlapping sets of genes defined by a published investigation as markers for normal human breast luminal epithelial cells and myoepithelial cells. Results Each genetic locus was characterized using a finite set of biological properties and represented as a vector of features indicating attributes associated with the locus (a gene attribute profile. In this study, the vector space models for a pre-defined list of genes were constructed from the Gene Ontology (GO terms and the Conserved Domain Database (CDD protein domain terms assigned to the loci by the gene-centered corpus LocusLink. This data set of GO- and CDD-based gene attribute profiles, vectors of binary random variables, was used to estimate multiple finite mixture models and each ensuing model utilized to partition the profiles into clusters. The resultant partitionings were combined using a unanimous voting scheme to produce consensus clusters, sets of profiles that co-occured consistently in the same cluster. Attributes that were important in defining the genes assigned to a consensus cluster were identified. The clusters and their attributes were inspected to ascertain the GO and CDD terms most associated with subsets of genes and in conjunction with external knowledge such as chromosomal location, used to gain functional insights into human breast biology. The 52 luminal epithelial cell markers and 89 myoepithelial cell markers are disjoint sets of genes. Ensemble attribute profile clustering-based analysis indicated that both lists

  6. Predictors of Colorectal Cancer Knowledge among Adults in the United Arab Emirates

    Science.gov (United States)

    Al-Sharbatti, Shatha; Muttappallymyalil, Jayakumary; Sreedharan, Jayadevan; Almosawy, Yasien

    2017-09-27

    Objective: To assess knowledge regarding colorectal cancer (CRC) and to identify its predictors in the UAE. Materials and Methods: A cross sectional study was conducted among subjects ≥ 50 years-old, using a validated self-administered questionnaire. Awareness of CRC risk factors, warning signs/symptoms (S/S), and screening methods was evaluated with a level of knowledge score for various areas. Low (poor) knowledge was defined as a score below the corresponding average value. The Chi-square test and logistic regression were used in the statistical analysis. Results: The percentage of respondents who had poor knowledge score concerning risk factors, warning S/S and screening were 81.7%, 84.7% and 94.1% respectively. Male and lower education level subjects had significantly higher probability of low knowledge related to risk factors and warning S/S. Also respondents without a family history of CRC or personal history of polyps had a significantly higher probability of low knowledge concerning warning S/S compared to those who had a positive history. Significantly higher probability of low knowledge concerning screening methods was noted among non-Arabs and subjects with a lower education level. Conclusion: Most of the respondents had poor knowledge. Gender, education level, family and personal history and ethnicity were found to be significant predictors of CRC knowledge. Creative Commons Attribution License

  7. Browsing while reading: effects of instructional design and learners' prior knowledge

    Directory of Open Access Journals (Sweden)

    Theimo Müller-Kalthoff

    2006-12-01

    Full Text Available One of the key reasons that multimedia, and particularly hypertext systems, are gaining in importance is that they inspire hopes of optimizing learners' processes of knowledge construction. The present study is concerned with the respective influence of individual learner variables (i.e. particularly domain-specific prior knowledge on the use of different design attributes. Thirty-six university students worked through a hierarchically structured two-part hypertext about the psychology of memory under two experimental browsing conditions (reduced versus free browsing. Results show that deeper-level comprehension (i.e. structural knowledge was predicted by the interaction of experimental condition and prior knowledge, but that simply retaining facts was not. Participants with low prior knowledge performed better on the comprehension test if they had worked on the version with reduced access. Moreover, the version with reduced access helped to reduce feelings of disorientation. The measure of disorientation also appeared to be closely linked with the individual's computer experience, self-concept of computer ability and subject-related interest. The main implications for educational practice relate to the design of an adaptive multimedia and hypertext learning system and the successful learning with it.

  8. Attribute correlates of hospital outpatient satisfaction.

    Science.gov (United States)

    Krueckeberg, H F; Hubbert, A

    1995-01-01

    Customer satisfaction (patient satisfaction) with hospital outpatient or ambulatory services is an important factor in influencing patient patronage and loyalty. Based on an empirical study, this article examines the attributes of the ambulatory care experience which were significantly associated with the level of satisfaction resulting from the most recent hospital ambulatory visit. This study focuses on identifying attributes of ambulatory services. This article brings to the health care marketing literature information on ambulatory satisfaction comparable to that which has been contributed to the literature regarding satisfaction with physician and hospital experiences.

  9. Knowledge, beliefs, and attitudes of older women in HIV/AIDS prevention

    Directory of Open Access Journals (Sweden)

    Milena Silva Costa

    Full Text Available ABSTRACT Objective: To analyze the knowledge, religious beliefs and the adoption of preventive measures against HIV/AIDS of non-Catholic elderly women. Method: A qualitative study, carried out in religious institutions of a municipality in the state of Ceará, Northeast Brazil, with 78 elderly women. Of these, 64 were evangelicals, seven spiritualists and seven Jehovah's Witnesses. A semi-structured interview script was used followed by thematic content analysis of participants' responses. Results: After analyzing the empirical data, three categories were elaborated: the first presented the knowledge they had about AIDS; the second, highlighted the beliefs attributed to people with HIV/AIDS; and the third, presented the preventive measures to HIV/AIDS adopted by them. Final considerations: There were participants with knowledge gaps and failure to use preventive measures against HIV/AIDS. They suggested that religious institutions can be venues for lectures on HIV/AIDS prevention.

  10. Using the knowledge-and-appraisal personality architecture to predict self-efficacy within individual persons.

    Science.gov (United States)

    Wise, James B

    2008-10-01

    The knowledge-and-appraisal personality architecture has potential as a theoretical framework for understanding the formation of self-efficacy in individuals. Two patterns were observed within 14 of 17 individual persons: a pattern of strong self-efficacy was displayed across outdoor recreation activities for which a self-descriptive attribute was viewed as an asset to successful performances, and a pattern of relatively weak self-efficacy was observed across outdoor recreation activities for which the same attribute was considered a hindrance to performances. Although the theory predicts self-efficacy within individuals, more research is needed to assess why the theory is not accurate in all cases.

  11. Future research in technological enablers for knowledge management: A worldwide expert study

    DEFF Research Database (Denmark)

    Sarka, Peter; Caldwell, Nicholas H. M.; Ipsen, Christine

    2014-01-01

    Information Technology (IT) is widely considered as an important part of knowledge management (KM). However, failures of KM in organisational practice have been attributed to an overemphasis of IT in KM. An improved understanding of the role of IT within KM in organisations could help to improve...... key research themes articulated by the KM experts to enhance and develop KM in relation to technological enablers....

  12. Developing professional attributes in critical care nurses using Team-Based Learning.

    Science.gov (United States)

    Currey, Judy; Eustace, Paula; Oldland, Elizabeth; Glanville, David; Story, Ian

    2015-05-01

    Australian nurses prepare for specialty practice by undertaking postgraduate theoretical and clinical education in partnership models between universities and hospitals. In our global healthcare system, nurses require advanced critical thinking and strong communication skills to provide safe, high quality patient care. Yet, few education programs focus on developing these skills. Team-Based Learning (TBL) is a specific educational strategy that encourages and rewards students to think critically and solve clinical problems individually and in teams. The aim of this study was to investigate critical care nursing students' perceptions and experiences of TBL after it was introduced into the second half of their postgraduate specialty course. Following Ethics Committee approval, thirty-two students were invited to participate in an extended response questionnaire on their perceptions of TBL as part of a larger study. Data were analyzed thematically. Postgraduate students perceived their professional growth was accelerated due to the skills and knowledge acquired through TBL. Four themes underpinned the development and accelerated acquisition of specialty nurse attributes due to TBL: Engagement, Learning Effectiveness, Critical Thinking, and Motivation to Participate. Team-Based Learning offered deep and satisfying learning experiences for students. The early acquisition of advanced critical thinking, teamwork and communication skills, and specialty practice knowledge empowered nurses to provide safe patient care with confidence. Copyright © 2015 Elsevier Ltd. All rights reserved.

  13. Batch Attribute-Based Encryption for Secure Clouds

    Directory of Open Access Journals (Sweden)

    Chen Yang

    2015-10-01

    Full Text Available Cloud storage is widely used by organizations due to its advantage of allowing universal access with low cost. Attribute-based encryption (ABE is a kind of public key encryption suitable for cloud storage. The secret key of each user and the ciphertext are associated with an access policy and an attribute set, respectively; in addition to holding a secret key, one can decrypt a ciphertext only if the associated attributes match the predetermined access policy, which allows one to enforce fine-grained access control on outsourced files. One issue in existing ABE schemes is that they are designed for the users of a single organization. When one wants to share the data with the users of different organizations, the owner needs to encrypt the messages to the receivers of one organization and then repeats this process for another organization. This situation is deteriorated with more and more mobile devices using cloud services, as the ABE encryption process is time consuming and may exhaust the power supplies of the mobile devices quickly. In this paper, we propose a batch attribute-based encryption (BABE approach to address this problem in a provably-secure way. With our approach, the data owner can outsource data in batches to the users of different organizations simultaneously. The data owner is allowed to decide the receiving organizations and the attributes required for decryption. Theoretical and experimental analyses show that our approach is more efficient than traditional encryption implementations in computation and communication.

  14. Analysis of the Usage of Magnetic Force-directed Approach and Visual Techniques for Interactive Context-based Drawing of Multi-attributed Graphs

    Directory of Open Access Journals (Sweden)

    Zabiniako Vitaly

    2014-12-01

    Full Text Available In this article, the authors perform an analysis in order to assess adaptation of magnetic force-directed algorithms for context-based information extraction from multi-attributed graphs during visualization sessions. Theoretic standings behind magnetic force-directed approach are stated together with review on how particular features of respective algorithms in combination with appropriate visual techniques are especially suitable for improved processing and presenting of knowledge that is captured in form of graphs. The complexity of retrieving multi-attributed information within the proposed approach is handled with dedicated tools, such as selective attraction of nodes to MFE (Magnetic Force Emitter based on search criteria, localization of POI (Point of Interest regions, graph node anchoring, etc. Implicit compatibility of aforementioned tools with interactive nature of data exploration is distinguished. Description of case study, based on bibliometric network analysis is given, which is followed by the review of existing related works in this field. Conclusions are made and further studies in the field of visualization of multi-attributed graphs are defined.

  15. Irreducible descriptive sets of attributes for information systems

    KAUST Repository

    Moshkov, Mikhail; Skowron, Andrzej; Suraj, Zbigniew

    2010-01-01

    . An irreducible descriptive set for the considered information system S is a minimal (relative to the inclusion) set B of attributes which defines exactly the set Ext(S) by means of true and realizable rules constructed over attributes from the considered set B

  16. Concurrent computation of attribute filters on shared memory parallel machines

    NARCIS (Netherlands)

    Wilkinson, Michael H.F.; Gao, Hui; Hesselink, Wim H.; Jonker, Jan-Eppo; Meijster, Arnold

    2008-01-01

    Morphological attribute filters have not previously been parallelized mainly because they are both global and nonseparable. We propose a parallel algorithm that achieves efficient parallelism for a large class of attribute filters, including attribute openings, closings, thinnings, and thickenings,

  17. Essential attributes and qualifiers of primary health care

    Directory of Open Access Journals (Sweden)

    Andréa Silvia Walter de Aguiar

    2012-06-01

    Full Text Available Historically, the primary health care (PHC has been associated with the first level of care from a health system and characterized by the kind of professional that in it operates, where is expected a predominance of specialists in this area. However, the major limitation for this type of characterization is that the profile of professionals engaged in this service may vary from country to country.Several theoretical and conceptual landmarks proposed approaches and indicators to assess and characterize the APS. In 1978, the American Institute of Medicine suggested an approach in which listed its attributes such as accessibility, integrality, coordination, continuity and responsibility. This was an important landmark in an attempt to outline a normative approach to measure it. However, most indicators and specific definition was not suggested. The selected indicators required a high level of performance, were difficult to be achieved, and focused on the capacity of services and not in its concrete realization(1.A 1996 report, from the same institution, defined PHC as the provision of integrated services and accessible by clinicians who are responsible for attending a large majority of personal care needs, developing a continued partnership with patients and working within family and community. This definition does not include the first contact and focuses on individual attention.The Canadian Medical Association, in 1996, considered the APS as a front door of the health system and community interventions included in the definition of the functions of APS. In the same year was published a Charter for General Practice / Family Medicine in Europe (Letter to General Practice / Family Medicine in Europe, which describes 12 characteristics: general, accessible, integrated, continuous, as a team, holistic, personalized, targeted for the family and the community, coordinated, confidential and protectress(2.Donabedian(3 systematized a group of important

  18. Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support.

    Science.gov (United States)

    Mohammadhassanzadeh, Hossein; Van Woensel, William; Abidi, Samina Raza; Abidi, Syed Sibte Raza

    2017-01-01

    Capturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians' experiences. To extend the coverage of incomplete medical knowledge-based systems beyond their deductive closure, and thus enhance their decision-support capabilities, we argue that innovative, multi-strategy reasoning approaches should be applied. In particular, plausible reasoning mechanisms apply patterns from human thought processes, such as generalization, similarity and interpolation, based on attributional, hierarchical, and relational knowledge. Plausible reasoning mechanisms include inductive reasoning , which generalizes the commonalities among the data to induce new rules, and analogical reasoning , which is guided by data similarities to infer new facts. By further leveraging rich, biomedical Semantic Web ontologies to represent medical knowledge, both known and tentative, we increase the accuracy and expressivity of plausible reasoning, and cope with issues such as data heterogeneity, inconsistency and interoperability. In this paper, we present a Semantic Web-based, multi-strategy reasoning approach, which integrates deductive and plausible reasoning and exploits Semantic Web technology to solve complex clinical decision support queries. We evaluated our system using a real-world medical dataset of patients with hepatitis, from which we randomly removed different percentages of data (5%, 10%, 15%, and 20%) to reflect scenarios with increasing amounts of incomplete medical knowledge. To increase the reliability of the results, we generated 5 independent datasets for each percentage of missing values, which resulted in 20 experimental datasets (in addition to the original dataset). The results show that plausibly inferred knowledge extends the coverage of the knowledge base by, on average, 2%, 7%, 12%, and 16% for datasets with, respectively, 5%, 10%, 15

  19. 5-D interpolation with wave-front attributes

    Science.gov (United States)

    Xie, Yujiang; Gajewski, Dirk

    2017-11-01

    Most 5-D interpolation and regularization techniques reconstruct the missing data in the frequency domain by using mathematical transforms. An alternative type of interpolation methods uses wave-front attributes, that is, quantities with a specific physical meaning like the angle of emergence and wave-front curvatures. In these attributes structural information of subsurface features like dip and strike of a reflector are included. These wave-front attributes work on 5-D data space (e.g. common-midpoint coordinates in x and y, offset, azimuth and time), leading to a 5-D interpolation technique. Since the process is based on stacking next to the interpolation a pre-stack data enhancement is achieved, improving the signal-to-noise ratio (S/N) of interpolated and recorded traces. The wave-front attributes are determined in a data-driven fashion, for example, with the Common Reflection Surface (CRS method). As one of the wave-front-attribute-based interpolation techniques, the 3-D partial CRS method was proposed to enhance the quality of 3-D pre-stack data with low S/N. In the past work on 3-D partial stacks, two potential problems were still unsolved. For high-quality wave-front attributes, we suggest a global optimization strategy instead of the so far used pragmatic search approach. In previous works, the interpolation of 3-D data was performed along a specific azimuth which is acceptable for narrow azimuth acquisition but does not exploit the potential of wide-, rich- or full-azimuth acquisitions. The conventional 3-D partial CRS method is improved in this work and we call it as a wave-front-attribute-based 5-D interpolation (5-D WABI) as the two problems mentioned above are addressed. Data examples demonstrate the improved performance by the 5-D WABI method when compared with the conventional 3-D partial CRS approach. A comparison of the rank-reduction-based 5-D seismic interpolation technique with the proposed 5-D WABI method is given. The comparison reveals that

  20. Factors Relating to Staff Attributions of Control over Challenging Behaviour

    Science.gov (United States)

    Dilworth, Jennifer A.; Phillips, Neil; Rose, John

    2011-01-01

    Background: Previous research has suggested that severity of intellectual disability (ID) and topography of behaviour may influence staff causal attributions regarding challenging behaviour. Subsequently, these causal attributions may influence helping behaviours. This study investigated the relationship between attributions of control over…

  1. The role of tacit knowledge in the work context of nursing.

    Science.gov (United States)

    Herbig, B; Büssing, A; Ewert, T

    2001-06-01

    Previous research on the role of tacit knowledge is ambiguous. Some studies show the superiority of expertise, while other studies found experts would not be better than laymen. This paper aims at clarifying the contribution of tacit knowledge to expertise in the domain of nursing. Two important concepts for dealing with critical situations are outlined - tacit knowledge and experience-guided working. The framework of tacit knowledge and experience-guided working can contribute to an explanation of the ambiguous results. Tacit knowledge is acquired implicitly in the course of working and is therefore not subject to reflection. For this reason it can contain erroneous or problematic contents. A method for the explication of tacit knowledge was developed and a laboratory study with 16 experienced nurses conducted. In the laboratory study the nurses had to deal with a critical nursing situation that was developed in co-operation with nursing experts. The explicit knowledge of the nurses was tested before the laboratory study. No systematic differences in explicit knowledge could be observed, i.e. differences in performance could not be attributed to this knowledge mode. Results from multidimensional scaling procedures illustrate differences in the tacit knowledge of nurses who successfully accomplished the critical situation and those who did not. The findings are in line with the assumption that experience-guided working is of the utmost importance for dealing with critical situations. Consequences of these results for nursing and person-related services in general are discussed and the aim of future research is outlined.

  2. Knowledge Sharing is Knowledge Creation

    DEFF Research Database (Denmark)

    Greve, Linda

    2015-01-01

    Knowledge sharing and knowledge transfer are important to knowledge communication. However when groups of knowledge workers engage in knowledge communication activities, it easily turns into mere mechanical information processing despite other ambitions. This article relates literature of knowledge...... communication and knowledge creation to an intervention study in a large Danish food production company. For some time a specific group of employees uttered a wish for knowledge sharing, but it never really happened. The group was observed and submitted to metaphor analysis as well as analysis of co...

  3. HEALTH AND FITNESS: A BRIDGE BETWEEN KNOWLEDGE AND SUBJECTIVE MEANING

    Directory of Open Access Journals (Sweden)

    PERROTTA Francesco

    2010-06-01

    Full Text Available The pedagogical perspective is now acquired the undoubted importance that, when referring to the learning processes of those in children, the interconnection between those that are defined in informal and formal knowledge. The first relate to the meanings that they attach to their own subjects, and external events, according to their cultural coordinates of reference within their life contexts. The second concern the powers that come to these same phenomena from the acquisition of concept maps and behavioral patterns related to the knowledge transmitted and practices called for in educational institutions, aspects that have formalized and generalized.This approach has been applied in our case, the issues of health and well-being and interventions of their promotion in the school, whereas youth. In other words, the application of this perspective leads to say that such interventions, intended to encourage the construction of formal knowledge on these issues (from which toderive changes in our behavior, must in the first instance to consider the meanings attributed by young these issues involving their personal development and social meanings derived from their cultural contexts (informal knowledge.

  4. On the Relationship between Visual Attributes and Convolutional Networks

    KAUST Repository

    Castillo, Victor

    2015-06-02

    One of the cornerstone principles of deep models is their abstraction capacity, i.e. their ability to learn abstract concepts from ‘simpler’ ones. Through extensive experiments, we characterize the nature of the relationship between abstract concepts (specifically objects in images) learned by popular and high performing convolutional networks (conv-nets) and established mid-level representations used in computer vision (specifically semantic visual attributes). We focus on attributes due to their impact on several applications, such as object description, retrieval and mining, and active (and zero-shot) learning. Among the findings we uncover, we show empirical evidence of the existence of Attribute Centric Nodes (ACNs) within a conv-net, which is trained to recognize objects (not attributes) in images. These special conv-net nodes (1) collectively encode information pertinent to visual attribute representation and discrimination, (2) are unevenly and sparsely distribution across all layers of the conv-net, and (3) play an important role in conv-net based object recognition.

  5. An exploration of pre-service teachers’ attributions in English

    Directory of Open Access Journals (Sweden)

    Yılmaz Cevdet

    2016-01-01

    Full Text Available With the developments in cognitive psychology, language learners’ beliefs have received considerable attention in the domain of language teaching and learning. One area that merits investigation as to what the learner brings to this educational process is learner attributions which are commonly defined as ‘perceived causes of success and failure’. This paper investigated pre-service teachers’ perceptions of student attributions and their performance in English. Attributions are categorized as either internal (for instance ability or external (for instance task difficulty. Motivated by these theoretical concerns, the study investigated the attributions of 122 pre-service teachers majoring in English and the connections between attribution and proficiency and gender. The study concludes with a set of far-reaching pedagogical implications and suggestions for learner training and teacher action in the EFL classroom. The results underscore the need for pre-service students to become aware of their own perceptions with regard to students' success and failure in English.

  6. On the Relationship between Visual Attributes and Convolutional Networks

    KAUST Repository

    Castillo, Victor; Ghanem, Bernard; Niebles, Juan Carlos

    2015-01-01

    One of the cornerstone principles of deep models is their abstraction capacity, i.e. their ability to learn abstract concepts from ‘simpler’ ones. Through extensive experiments, we characterize the nature of the relationship between abstract concepts (specifically objects in images) learned by popular and high performing convolutional networks (conv-nets) and established mid-level representations used in computer vision (specifically semantic visual attributes). We focus on attributes due to their impact on several applications, such as object description, retrieval and mining, and active (and zero-shot) learning. Among the findings we uncover, we show empirical evidence of the existence of Attribute Centric Nodes (ACNs) within a conv-net, which is trained to recognize objects (not attributes) in images. These special conv-net nodes (1) collectively encode information pertinent to visual attribute representation and discrimination, (2) are unevenly and sparsely distribution across all layers of the conv-net, and (3) play an important role in conv-net based object recognition.

  7. Consumer Preferences for Hearing Aid Attributes

    Science.gov (United States)

    Lataille, Angela T.; Buttorff, Christine; White, Sharon; Niparko, John K.

    2012-01-01

    Low utilization of hearing aids has drawn increased attention to the study of consumer preferences using both simple ratings (e.g., Likert scale) and conjoint analyses, but these two approaches often produce inconsistent results. The study aims to directly compare Likert scales and conjoint analysis in identifying important attributes associated with hearing aids among those with hearing loss. Seven attributes of hearing aids were identified through qualitative research: performance in quiet settings, comfort, feedback, frequency of battery replacement, purchase price, water and sweat resistance, and performance in noisy settings. The preferences of 75 outpatients with hearing loss were measured with both a 5-point Likert scale and with 8 paired-comparison conjoint tasks (the latter being analyzed using OLS [ordinary least squares] and logistic regression). Results were compared by examining implied willingness-to-pay and Pearson’s Rho. A total of 56 respondents (75%) provided complete responses. Two thirds of respondents were male, most had sensorineural hearing loss, and most were older than 50; 44% of respondents had never used a hearing aid. Both methods identified improved performance in noisy settings as the most valued attribute. Respondents were twice as likely to buy a hearing aid with better functionality in noisy environments (p < .001), and willingness to pay for this attribute ranged from US$2674 on the Likert to US$9000 in the conjoint analysis. The authors find a high level of concordance between the methods—a result that is in stark contrast with previous research. The authors conclude that their result stems from constraining the levels on the Likert scale. PMID:22514094

  8. Language Learner Beliefs from an Attributional Perspective

    OpenAIRE

    Gabillon, Zehra

    2013-01-01

    International audience; This qualitative study, aimed to analyze eight French-speaking learners' beliefs about English and English language learning. The data were obtained via semi-structured interviews. The study drew on Weiner's attribution theory of achievement motivation and Bandura's self-efficacy theory. The novelty about this research is the employment of an attributional analysis framework to study and explain the learners' stated beliefs about English and English language learning.

  9. Causal Attributions for Poverty in Developing Countries

    OpenAIRE

    José Juan Vázquez; Sonia Panadero

    2009-01-01

    This paper analyzes attributional differences about causes of poverty in the less developed countries, among Nicaraguan ("actors") and Spanish ("observers") undergraduates. A self–applied questionnaire was used. It included socio–demographic questions and an adaptation of the "Causes of Third World Poverty Questionnaire" (CTWPQ). Results show agreement between Spanish and Nicaraguan in attributions about the main causes of poverty in the less developed countries, although there are difference...

  10. k-visit Attribute Grammars

    DEFF Research Database (Denmark)

    Nielson, Hanne Riis; Skyum, S.

    1981-01-01

    It is shown that any well-defined attribute grammar is k-visit for some k. Furthermore, it is shown that given a well-defined grammar G and an integer k, it is decidable whether G is k-visit. Finally it is shown that the k-visit grammars specify a proper hierarchy with respect to translations...

  11. The development of a classification schema for arts-based approaches to knowledge translation.

    Science.gov (United States)

    Archibald, Mandy M; Caine, Vera; Scott, Shannon D

    2014-10-01

    Arts-based approaches to knowledge translation are emerging as powerful interprofessional strategies with potential to facilitate evidence uptake, communication, knowledge, attitude, and behavior change across healthcare provider and consumer groups. These strategies are in the early stages of development. To date, no classification system for arts-based knowledge translation exists, which limits development and understandings of effectiveness in evidence syntheses. We developed a classification schema of arts-based knowledge translation strategies based on two mechanisms by which these approaches function: (a) the degree of precision in key message delivery, and (b) the degree of end-user participation. We demonstrate how this classification is necessary to explore how context, time, and location shape arts-based knowledge translation strategies. Classifying arts-based knowledge translation strategies according to their core attributes extends understandings of the appropriateness of these approaches for various healthcare settings and provider groups. The classification schema developed may enhance understanding of how, where, and for whom arts-based knowledge translation approaches are effective, and enable theorizing of essential knowledge translation constructs, such as the influence of context, time, and location on utilization strategies. The classification schema developed may encourage systematic inquiry into the effectiveness of these approaches in diverse interprofessional contexts. © 2014 Sigma Theta Tau International.

  12. Disease proportions attributable to environment

    Directory of Open Access Journals (Sweden)

    Vineis Paolo

    2007-11-01

    Full Text Available Abstract Population disease proportions attributable to various causal agents are popular as they present a simplified view of the contribution of each agent to the disease load. However they are only summary figures that may be easily misinterpreted or over-interpreted even when the causal link between an exposure and an effect is well established. This commentary discusses several issues surrounding the estimation of attributable proportions, particularly with reference to environmental causes of cancers, and critically examines two recently published papers. These issues encompass potential biases as well as the very definition of environment and of environmental agent. The latter aspect is not just a semantic question but carries implications for the focus of preventive actions, whether centred on the material and social environment or on single individuals.

  13. Acute headache and persistent headache attributed to cervical artery dissection

    DEFF Research Database (Denmark)

    Schytz, Henrik W; Ashina, Messoud; Magyari, Melinda

    2014-01-01

    for Headache or facial or neck pain attributed to cervical carotid or vertebral artery dissection or Headache attributed to intracranial arterial dissection. Six months after dissection five of 19 patients still reported persistent headache attributed to dissection. The study demonstrates that the ICHD......The criteria for headache attributed to cervical artery dissection have been changed in the new third edition of the International Classification of Headache Disorders (ICHD-III beta). We have retrospectively investigated 19 patients diagnosed from 2001 to 2006 with cervical artery dissection......-III beta criteria for cervical artery dissection are useful for classifying patients at the first encounter. We show for the first time that persistent headache attributed to arterial dissection is frequent....

  14. Physico-chemical, functional and processing attributes of some ...

    African Journals Online (AJOL)

    A study was generated from six commercial potato varieties and studied for their physical, chemical, functional and processing attributes. Lady Rosetta followed by Hermes was the most appreciable varieties concerning their physical attributes. A positive correlation (R = 0.765) existed between tuber firmness and specific ...

  15. The Validity of Attribute-Importance Measurement: A Review

    NARCIS (Netherlands)

    Ittersum, van K.; Pennings, J.M.E.; Wansink, B.; Trijp, van J.C.M.

    2007-01-01

    A critical review of the literature demonstrates a lack of validity among the ten most common methods for measuring the importance of attributes in behavioral sciences. The authors argue that one of the key determinants of this lack of validity is the multi-dimensionality of attribute importance.

  16. Direct Visual Editing of Node Attributes in Graphs

    Directory of Open Access Journals (Sweden)

    Christian Eichner

    2016-10-01

    Full Text Available There are many expressive visualization techniques for analyzing graphs. Yet, there is only little research on how existing visual representations can be employed to support data editing. An increasingly relevant task when working with graphs is the editing of node attributes. We propose an integrated visualize-and-edit approach to editing attribute values via direct interaction with the visual representation. The visualize part is based on node-link diagrams paired with attribute-dependent layouts. The edit part is as easy as moving nodes via drag-and-drop gestures. We present dedicated interaction techniques for editing quantitative as well as qualitative attribute data values. The benefit of our novel integrated approach is that one can directly edit the data while the visualization constantly provides feedback on the implications of the data modifications. Preliminary user feedback indicates that our integrated approach can be a useful complement to standard non-visual editing via external tools.

  17. Mental state attribution and the gaze cueing effect.

    Science.gov (United States)

    Cole, Geoff G; Smith, Daniel T; Atkinson, Mark A

    2015-05-01

    Theory of mind is said to be possessed by an individual if he or she is able to impute mental states to others. Recently, some authors have demonstrated that such mental state attributions can mediate the "gaze cueing" effect, in which observation of another individual shifts an observer's attention. One question that follows from this work is whether such mental state attributions produce mandatory modulations of gaze cueing. Employing the basic gaze cueing paradigm, together with a technique commonly used to assess mental-state attribution in nonhuman animals, we manipulated whether the gazing agent could see the same thing as the participant (i.e., the target) or had this view obstructed by a physical barrier. We found robust gaze cueing effects, even when the observed agent in the display could not see the same thing as the participant. These results suggest that the attribution of "seeing" does not necessarily modulate the gaze cueing effect.

  18. Group and Topic Discovery from Relations and Their Attributes

    National Research Council Canada - National Science Library

    Wang, Xuerui; Mohanty, Natasha; McCallum, Andrew

    2006-01-01

    The authors present a probabilistic generative model of entity relationships and their attributes that simultaneously discovers groups among the entities and topics among the corresponding textual attributes...

  19. Knowledge Representation and Inference for Analysis and Design of Database and Tabular Rule-Based Systems

    Directory of Open Access Journals (Sweden)

    Antoni Ligeza

    2001-01-01

    Full Text Available Rulebased systems constitute a powerful tool for specification of knowledge in design and implementation of knowledge based systems. They provide also a universal programming paradigm for domains such as intelligent control, decision support, situation classification and operational knowledge encoding. In order to assure safe and reliable performance, such system should satisfy certain formal requirements, including completeness and consistency. This paper addresses the issue of analysis and verification of selected properties of a class of such system in a systematic way. A uniform, tabular scheme of single-level rule-based systems is considered. Such systems can be applied as a generalized form of databases for specification of data pattern (unconditional knowledge, or can be used for defining attributive decision tables (conditional knowledge in form of rules. They can also serve as lower-level components of a hierarchical multi-level control and decision support knowledge-based systems. An algebraic knowledge representation paradigm using extended tabular representation, similar to relational database tables is presented and algebraic bases for system analysis, verification and design support are outlined.

  20. Factors That Influence the Job Market Decision: The Role of Faculty as a Knowledge Broker

    Science.gov (United States)

    Weeks, William A.; Rutherford, Brian; Boles, James; Loe, Terry

    2014-01-01

    This study examines the perceptions of students, recruiters, and faculty regarding the importance of various workplace attributes to students who are entering the job market. Furthermore, this study discusses the important role that faculty can play as a knowledge broker with both students and recruiters. Looking at students' Top 10…

  1. 'I reject your reality and substitute my own'. Why more knowledge about CO2 storage hardly improves public attitudes

    Energy Technology Data Exchange (ETDEWEB)

    Brunsting, S.; De Best-Waldhober, M. [ECN Policy Studies, Amsterdam (Netherlands); Terwel, B.W. [Leiden University, Department of Social and Organizational Psychology, Leiden (Netherlands)

    2013-05-01

    Lack of societal acceptance of energy (transition) technologies is often attributed to a lack of knowledge among the public. The underlying assumption is that more knowledge improves attitudes about a technology. This assumption will be tested in this paper by examining the influence of the scores on a CCS Knowledge Test on attitudes towards CO2 capture and storage (CCS). Furthermore the paper will examine the influence of perceptions of CCS (ideas that cannot be deemed 'true' or 'false') on attitude towards CCS and will analyse how knowledge and perceptions jointly influence attitude as well as in interaction. Implications of the results for communication about CCS are discussed.

  2. Relative Importance of Common Bean Attributes and Variety ...

    African Journals Online (AJOL)

    The work assessed the relative importance of production and consumption attributes of different wealth groups of households and tested the effect of attribute preference and that of other factors on common bean variety demand in the drought areas of Eastern Kenya. Variety demand was conceptualized within the ...

  3. The effect of nonlinearity in CO2 heating rates on the attribution of stratospheric ozone and temperature changes

    Directory of Open Access Journals (Sweden)

    T. G. Shepherd

    2009-11-01

    Full Text Available An analysis of the attribution of past and future changes in stratospheric ozone and temperature to anthropogenic forcings is presented. The analysis is an extension of the study of Shepherd and Jonsson (2008 who analyzed chemistry-climate simulations from the Canadian Middle Atmosphere Model (CMAM and attributed both past and future changes to changes in the external forcings, i.e. the abundances of ozone-depleting substances (ODS and well-mixed greenhouse gases. The current study is based on a new CMAM dataset and includes two important changes. First, we account for the nonlinear radiative response to changes in CO2. It is shown that over centennial time scales the radiative response in the upper stratosphere to CO2 changes is significantly nonlinear and that failure to account for this effect leads to a significant error in the attribution. To our knowledge this nonlinearity has not been considered before in attribution analysis, including multiple linear regression studies. For the regression analysis presented here the nonlinearity was taken into account by using CO2 heating rate, rather than CO2 abundance, as the explanatory variable. This approach yields considerable corrections to the results of the previous study and can be recommended to other researchers. Second, an error in the way the CO2 forcing changes are implemented in the CMAM was corrected, which significantly affects the results for the recent past. As the radiation scheme, based on Fomichev et al. (1998, is used in several other models we provide some description of the problem and how it was fixed.

  4. Health professionals’ familiarity and attributions to mental illness

    Directory of Open Access Journals (Sweden)

    Aghukwa Nkereuwem Chikaodiri

    2010-01-01

    Full Text Available A few months from the time of this survey, the nearly completed inpatient psychiatric facility within the Aminu Kano Teaching Hospital’s complex would be ready for admissions. Understanding the health workers’ level of experience of mental illness and their likely behavioural responses towards people with psychiatric illness, therefore, should be a good baseline to understanding their likely reactions towards admitting such patients within a general hospital setting. The study, which used a pre-tested and adapted attribution questionnaire, was pro­spective and cross-sectional. Randomly selected health workers in Aminu Kano Teaching Hospital had their level of familiarity and attributions towards psychiatric patients assessed. The respondents showed a high level of experience with mental illness, with more than 3 in 5 of them having watched movies on mental illness before. More than half of them held positive (favorable attributions towards persons with mental illness on nine of the ten assessed attribution factors. Almost all held negative (unfavourable opinion towards intimate relationships with such persons. Attribution factors, “Responsibility, “Anger”, “Dangerousness”, “Fear” and “Segregation” were significantly related to the respondents’ level of education (P less than 0.05. Marital status of the respondents related significantly to “Pity” and “Avoidance” factors (P less than 0.05. Having watched movies on mental illness significantly related to “Responsibility” and “Fear” factors (P less than 0.05. Programs designed to improve the health workers mental health literacy, and increased positive professional contacts with mentally ill persons on treatment, would further enhance their perceived positive attributions towards them.

  5. Copular alternation in Spanish and Catalan attributive sentences

    Directory of Open Access Journals (Sweden)

    José María Brucart

    2012-01-01

    Full Text Available This paper deals with copular selection in Spanish and Catalan attributive clauses. We develop an analysis of the copular alternation that is based on the relation of coincidence. Locative attributives, the class of copular sentences that has received less attention in the literature, are analyzed in detail. It is concluded that locative attributives express an abstract path; that is, a terminal coincidence relation between a figure (the entity that is located and a ground (the location. The use of estar in these sentences is justified by the fact that this copula has an interpretable terminal coincidence feature that can license its uninterpretable counterpart in the attributive clause. Nevertheless, ser –the default copula– can also co-occur in locative attributives when the notion of bounded path is already incorporated in the entity that is being located. This is the case in Catalan, which uses a –a preposition that expresses a limit– instead of en –a central coincidence preposition. The copula ser also appears in the location of eventive entities and in path noun constructions. The terminal coincidence feature of estar can also superimpose a delimiting aspectual boundary to the attributive relation when there is no uninterpretable terminal coincidence feature to value in it. In these cases, evidential and sensorial readings are conveyed. Finally, a possible analysis is sketched for the differences in the selection of the copula between Spanish and Catalan with participles and perfective adjectives. It is suggested that the selection of estar in these cases may be due to the fact that both classes have a weaker functional structure in Spanish than in Catalan.

  6. Innovation attributes and adoption decisions: perspectives from leaders of a national sample of addiction treatment organizations.

    Science.gov (United States)

    Knudsen, Hannah K; Roman, Paul M

    2015-02-01

    Drawing on diffusion theory to further knowledge about evidence-based practices (EBPs) in the treatment of substance use disorders (SUDs), this study describes the perceived importance of innovation attributes in adoption decisions within a national sample of SUD treatment organizations. Face-to-face interviews were conducted with leaders of 307 organizations. A typology differentiated organizations reporting: (1) adoption of a treatment innovation in the past year ("recent adoption"), (2) plans to adopt an innovation in the upcoming year ("planned adoption"), or (3) no actual or planned adoption ("non-adoption"). About 30.7% of organizations reported recent adoption, 20.5% indicated planned adoption, and 48.8% were non-adopters. Leaders of organizations reporting recent adoption (n=93) or planned adoption (n=62) rated the importance of innovation attributes, including relative advantage, compatibility, complexity, and observability, on these adoption decisions using a Likert scale that ranged from 0 to 5. Innovation attributes most strongly endorsed were consistency with the program's treatment philosophy (mean=4.47, SD=1.03), improvement in the program's reputation with referral sources (mean=4.00, SD=1.33), reputational improvement with clients and their families (mean=3.98, SD=1.31), and reductions in treatment dropout (mean=3.75, SD=1.54). Innovation characteristics reflecting organizational growth and implementation costs were less strongly endorsed. Adopters and planners were generally similar in their importance ratings. There were modest differences in importance ratings when pharmacological innovations were compared to psychosocial interventions. These findings are consistent with diffusion theory and suggest that efforts to link EBPs with client satisfaction and potential reputational benefits may enhance the diffusion of EBPs. Attention to these attributes when developing and evaluating SUD treatment interventions may enhance efforts to increase

  7. Towards incorporating affective computing to virtual rehabilitation; surrogating attributed attention from posture for boosting therapy adaptation

    Science.gov (United States)

    Rivas, Jesús J.; Heyer, Patrick; Orihuela-Espina, Felipe; Sucar, Luis Enrique

    2015-01-01

    Virtual rehabilitation (VR) is a novel motor rehabilitation therapy in which the rehabilitation exercises occurs through interaction with bespoken virtual environments. These virtual environments dynamically adapt their activity to match the therapy progress. Adaptation should be guided by the cognitive and emotional state of the patient, none of which are directly observable. Here, we present our first steps towards inferring non-observable attentional state from unobtrusively observable seated posture, so that this knowledge can later be exploited by a VR platform to modulate its behaviour. The space of seated postures was discretized and 648 pictures of acted representations were exposed to crowd-evaluation to determine attributed state of attention. A semi-supervised classifier based on Na¨ıve Bayes with structural improvement was learnt to unfold a predictive relation between posture and attributed attention. Internal validity was established following a 2×5 cross-fold strategy. Following 4959 votes from crowd, classification accuracy reached a promissory 96.29% (µ±σ = 87.59±6.59) and F-measure reached 82.35% (µ ± σ = 69.72 ± 10.50). With the afforded rate of classification, we believe it is safe to claim posture as a reliable proxy for attributed attentional state. It follows that unobtrusively monitoring posture can be exploited for guiding an intelligent adaptation in a virtual rehabilitation platform. This study further helps to identify critical aspects of posture permitting inference of attention.

  8. Object attributes combine additively in visual search

    OpenAIRE

    Pramod, R. T.; Arun, S. P.

    2016-01-01

    We perceive objects as containing a variety of attributes: local features, relations between features, internal details, and global properties. But we know little about how they combine. Here, we report a remarkably simple additive rule that governs how these diverse object attributes combine in vision. The perceived dissimilarity between two objects was accurately explained as a sum of (a) spatially tuned local contour-matching processes modulated by part decomposition; (b) differences in in...

  9. 29 CFR 4211.13 - Modifications to the direct attribution method.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 9 2010-07-01 2010-07-01 false Modifications to the direct attribution method. 4211.13... Changes Not Subject to PBGC Approval § 4211.13 Modifications to the direct attribution method. (a) Error in direct attribution method. The unfunded vested benefits allocated to a withdrawing employer under...

  10. Clustering with Instance and Attribute Level Side Information

    Directory of Open Access Journals (Sweden)

    Jinlong Wang

    2010-12-01

    Full Text Available Selecting a suitable proximity measure is one of the fundamental tasks in clustering. How to effectively utilize all available side information, including the instance level information in the form of pair-wise constraints, and the attribute level information in the form of attribute order preferences, is an essential problem in metric learning. In this paper, we propose a learning framework in which both the pair-wise constraints and the attribute order preferences can be incorporated simultaneously. The theory behind it and the related parameter adjusting technique have been described in details. Experimental results on benchmark data sets demonstrate the effectiveness of proposed method.

  11. Greek Co-ops' Re-Engineering: Exploring the Influences among Organizational Attributes, Strategic Attributes, and Performance

    NARCIS (Netherlands)

    Benos, T.; Kalogeras, N.; Verhees, F.J.H.M.

    2007-01-01

    Abstract We develop an actual classification entailing traditional vs. reengineered cooperative organizational attributes. Using this classification, we conceptualize and empirically investigate three types of relationships: a) organizational (i.e., collective ownership, control and cost/benefit

  12. Spatial clustering of knowledge-based industries in the Helsinki Metropolitan Area

    Directory of Open Access Journals (Sweden)

    Juan Eduardo Chica

    2016-01-01

    Full Text Available The central locations of metropolitan areas have some specific attributes, leading to an accumulation of large knowledge exchanges and extensive knowledge externalities, which encourage the concentration of various economic activities, especially knowledge-based industries (KBI. Other agglomeration economies found in metropolitan areas – such as telecommunications and transport infrastructures connected to global productive circuits and complementary labour markets – are key factors for KBI employment growth. This paper explores the Helsinki Metropolitan Area’s (HMA spatial clustering of KBI at the sub-district level, and the role played by agglomeration economies (both specialization and diversity economies in fostering this process. The results reveal that KBI employment shows patterns of concentration in the core and adjacent areas. The specialization and diversity economies found in the metropolitan core and the specialization economies found in others areas lead to KBI spatial clustering in the HMA. Public policies regarding the promotion of science parks have also played a decisive role.

  13. Accessible Knowledge - Knowledge on Accessibility

    DEFF Research Database (Denmark)

    Kirkeby, Inge Mette

    2015-01-01

    Although serious efforts are made internationally and nationally, it is a slow process to make our physical environment accessible. In the actual design process, architects play a major role. But what kinds of knowledge, including research-based knowledge, do practicing architects make use of when...... designing accessible environments? The answer to the question is crucially important since it affects how knowledge is distributed and how accessibility can be ensured. In order to get first-hand knowledge about the design process and the sources from which they gain knowledge, 11 qualitative interviews...... were conducted with architects with experience of designing for accessibility. The analysis draws on two theoretical distinctions. The first is research-based knowledge versus knowledge used by architects. The second is context-independent knowledge versus context-dependent knowledge. The practitioners...

  14. Raven’s test performance of sub-Saharan Africans: average performance, psychometric properties, and the Flynn Effect

    NARCIS (Netherlands)

    Wicherts, J.M.; Dolan, C.V.; Carlson, J.S.; van der Maas, H.L.J.

    2010-01-01

    This paper presents a systematic review of published data on the performance of sub-Saharan Africans on Raven's Progressive Matrices. The specific goals were to estimate the average level of performance, to study the Flynn Effect in African samples, and to examine the psychometric meaning of Raven's

  15. Physical activity and its related motivational attributes in adolescents with different BMI.

    Science.gov (United States)

    Hwang, J; Kim, Y H

    2013-03-01

    A number of obesity studies have been focused on identifying the relationships between socioeconomic status and physical activity involvement. In behavioral medicine, the limited data are available on obese people's physical activity and its related psychological predictors based on psychological theories. To identify the differences in physical activity and its related motivational attributes among normal weight, overweight, and obese adolescents and to find the effect of body mass index (BMI) and the Self-Determination Theory (SDT) constructs in predicting physical activity. One thousand seventy-one students ranging from seventh to ninth grades were randomly selected from three junior high schools in Seoul (359 normal weight students, 468 overweight students, and 244 obese students). A Korean version of Behavioral Regulation in Exercise Questionnaire-2 and Leisure Time Exercise Questionnaire were applied to measure the participants' motivational attributes and physical activity. Overweight and obese adolescents showed higher scores on amotivation and externally motivated regulations for physical activity than their normal weight counterparts. Internal regulation was more significant for physical activity in normal weight adolescent. However, there was no difference in physical activity among the three groups. Additionally, the findings identified that BMI and the SDT constructs were significant to explain physical activity. This study offers fundamental knowledge in gaining a clearer understanding of the types of motivation most likely to contribute to the initiation and promotion of physical activity in overweight and obese adolescents.

  16. Reasoning about knowledge: Children's evaluations of generality and verifiability.

    Science.gov (United States)

    Koenig, Melissa A; Cole, Caitlin A; Meyer, Meredith; Ridge, Katherine E; Kushnir, Tamar; Gelman, Susan A

    2015-12-01

    In a series of experiments, we examined 3- to 8-year-old children's (N=223) and adults' (N=32) use of two properties of testimony to estimate a speaker's knowledge: generality and verifiability. Participants were presented with a "Generic speaker" who made a series of 4 general claims about "pangolins" (a novel animal kind), and a "Specific speaker" who made a series of 4 specific claims about "this pangolin" as an individual. To investigate the role of verifiability, we systematically varied whether the claim referred to a perceptually-obvious feature visible in a picture (e.g., "has a pointy nose") or a non-evident feature that was not visible (e.g., "sleeps in a hollow tree"). Three main findings emerged: (1) young children showed a pronounced reliance on verifiability that decreased with age. Three-year-old children were especially prone to credit knowledge to speakers who made verifiable claims, whereas 7- to 8-year-olds and adults credited knowledge to generic speakers regardless of whether the claims were verifiable; (2) children's attributions of knowledge to generic speakers was not detectable until age 5, and only when those claims were also verifiable; (3) children often generalized speakers' knowledge outside of the pangolin domain, indicating a belief that a person's knowledge about pangolins likely extends to new facts. Findings indicate that young children may be inclined to doubt speakers who make claims they cannot verify themselves, as well as a developmentally increasing appreciation for speakers who make general claims. Copyright © 2015 Elsevier Inc. All rights reserved.

  17. Comprehensible knowledge model creation for cancer treatment decision making.

    Science.gov (United States)

    Afzal, Muhammad; Hussain, Maqbool; Ali Khan, Wajahat; Ali, Taqdir; Lee, Sungyoung; Huh, Eui-Nam; Farooq Ahmad, Hafiz; Jamshed, Arif; Iqbal, Hassan; Irfan, Muhammad; Abbas Hydari, Manzar

    2017-03-01

    A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and education. One of the big hurdles in developing such systems is the lack of automated mechanisms for knowledge acquisition to enable and educate clinicians in informed decision making. An automated knowledge acquisition methodology with a comprehensible knowledge model for cancer treatment (CKM-CT) is proposed. With the CKM-CT, clinical data are acquired automatically from documents. Quality of data is ensured by correcting errors and transforming various formats into a standard data format. Data preprocessing involves dimensionality reduction and missing value imputation. Predictive algorithm selection is performed on the basis of the ranking score of the weighted sum model. The knowledge builder prepares knowledge for knowledge-based services: clinical decisions and education support. Data is acquired from 13,788 head and neck cancer (HNC) documents for 3447 patients, including 1526 patients of the oral cavity site. In the data quality task, 160 staging values are corrected. In the preprocessing task, 20 attributes and 106 records are eliminated from the dataset. The Classification and Regression Trees (CRT) algorithm is selected and provides 69.0% classification accuracy in predicting HNC treatment plans, consisting of 11 decision paths that yield 11 decision rules. Our proposed methodology, CKM-CT, is helpful to find hidden knowledge in clinical documents. In CKM-CT, the prediction models are developed to assist and educate clinicians for informed decision making. The proposed methodology is generalizable to apply to data of other domains such as breast cancer with a similar objective to assist clinicians in decision making and education. Copyright © 2017 Elsevier Ltd. All rights reserved.

  18. Attention to Attributes and Objects in Working Memory

    Science.gov (United States)

    Cowan, Nelson; Blume, Christopher L.; Saults, J. Scott

    2013-01-01

    It has been debated on the basis of change-detection procedures whether visual working memory is limited by the number of objects, task-relevant attributes within those objects, or bindings between attributes. This debate, however, has been hampered by several limitations, including the use of conditions that vary between studies and the absence…

  19. "What Happened?" Teaching Attribution Theory through Ambiguous Prompts

    Science.gov (United States)

    McArthur, John

    2011-01-01

    The concept of attribution, "the act of explaining why something happens or why a person acts a particular way," is typically an abstract concept. This 35-50-minute activity invites students to make a series of attributions by asking them "What happened?" in ambiguous scenes presented in class. Then, students retrospectively identify what…

  20. Elicitation of attributes for the evaluation of audio-on audio-interference

    DEFF Research Database (Denmark)

    Francombe, Jon; Mason, R.; Dewhirst, M.

    2014-01-01

    procedure was used to reduce these phrases into a comprehensive set of attributes. Groups of experienced and inexperienced listeners determined nine and eight attributes, respectively. These attribute sets were combined by the listeners to produce a final set of 12 attributes: masking, calming, distraction......An experiment to determine the perceptual attributes of the experience of listening to a target audio program in the presence of an audio interferer was performed. The first stage was a free elicitation task in which a total of 572 phrases were produced. In the second stage, a consensus vocabulary...

  1. Corporate apologia and the attribution of guilt

    OpenAIRE

    Bülow-Møller, Anne Marie

    2010-01-01

    This paper argues that in the difficult disciplines of crisis communication and image restoration, attribution theory has explanatory value. Corporate apologia – the explanations that an organisation offers after an attack on – differs with the type of crisis it is designed to diffuse, and if the crisis concerns legitimacy, the art is to shift the public attribution of guilt or responsibility. The case of Arla vs Hirtshals is used to demonstrate how a concerted effort in impression management...

  2. Attributable causes of colorectal cancer in China

    OpenAIRE

    Gu, Meng-Jia; Huang, Qiu-Chi; Bao, Cheng-Zhen; Li, Ying-Jun; Li, Xiao-Qin; Ye, Ding; Ye, Zhen-Hua; Chen, Kun; Wang, Jian-Bing

    2018-01-01

    Background Colorectal cancer is the 4th common cancer in China. Most colorectal cancers are due to modifiable lifestyle factors, but few studies have provided a systematic evidence-based assessment of the burden of colorectal cancer incidence and mortality attributable to the known risk factors in China. Methods We estimated the population attributable faction (PAF) for each selected risk factor in China, based on the prevalence of exposure around 2000 and relative risks from cohort studies a...

  3. Efficient binning for bitmap indices on high-cardinality attributes

    Energy Technology Data Exchange (ETDEWEB)

    Rotem, Doron; Stockinger, Kurt; Wu, Kesheng

    2004-11-17

    Bitmap indexing is a common technique for indexing high-dimensional data in data warehouses and scientific applications. Though efficient for low-cardinality attributes, query processing can be rather costly for high-cardinality attributes due to the large storage requirements for the bitmap indices. Binning is a common technique for reducing storage costs of bitmap indices. This technique partitions the attribute values into a number of ranges, called bins, and uses bitmap vectors to represent bins (attribute ranges) rather than distinct values. Although binning may reduce storage costs, it may increase the access costs of queries that do not fall on exact bin boundaries (edge bins). For this kind of queries the original data values associated with edge bins must be accessed, in order to check them against the query constraints.In this paper we study the problem of finding optimal locations for the bin boundaries in order to minimize these access costs subject to storage constraints. We propose a dynamic programming algorithm for optimal partitioning of attribute values into bins that takes into account query access patterns as well as data distribution statistics. Mathematical analysis and experiments on real life data sets show that the optimal partitioning achieved by this algorithm can lead to a significant improvement in the access costs of bitmap indexing systems for high-cardinality attributes.

  4. The self-attribution bias and paranormal beliefs.

    Science.gov (United States)

    van Elk, Michiel

    2017-03-01

    The present study investigated the relation between paranormal beliefs, illusory control and the self-attribution bias, i.e., the motivated tendency to attribute positive outcomes to oneself while negative outcomes are externalized. Visitors of a psychic fair played a card guessing game and indicated their perceived control over randomly selected cards as a function of the congruency and valence of the card. A stronger self-attribution bias was observed for paranormal believers compared to skeptics and this bias was specifically related to traditional religious beliefs and belief in superstition. No relation between paranormal beliefs and illusory control was found. Self-report measures indicated that paranormal beliefs were associated to being raised in a spiritual family and to anomalous experiences during childhood. Thereby this study suggests that paranormal beliefs are related to specific cognitive biases that in turn are shaped by socio-cultural factors. Copyright © 2017 Elsevier Inc. All rights reserved.

  5. Salmonella source attribution based on microbial subtyping

    DEFF Research Database (Denmark)

    Barco, Lisa; Barrucci, Federica; Olsen, John Elmerdahl

    2013-01-01

    Source attribution of cases of food-borne disease represents a valuable tool for identifying and prioritizing effective food-safety interventions. Microbial subtyping is one of the most common methods to infer potential sources of human food-borne infections. So far, Salmonella microbial subtyping...... source attribution through microbial subtyping approach. It summarizes the available microbial subtyping attribution models and discusses the use of conventional phenotypic typing methods, as well as of the most commonly applied molecular typing methods in the European Union (EU) laboratories...

  6. A General Attribute and Rule Based Role-Based Access Control Model

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Growing numbers of users and many access control policies which involve many different resource attributes in service-oriented environments bring various problems in protecting resource. This paper analyzes the relationships of resource attributes to user attributes in all policies, and propose a general attribute and rule based role-based access control(GAR-RBAC) model to meet the security needs. The model can dynamically assign users to roles via rules to meet the need of growing numbers of users. These rules use different attribute expression and permission as a part of authorization constraints, and are defined by analyzing relations of resource attributes to user attributes in many access policies that are defined by the enterprise. The model is a general access control model, and can support many access control policies, and also can be used to wider application for service. The paper also describes how to use the GAR-RBAC model in Web service environments.

  7. Actors, observers, and causal attributions of homelessness: Differences in attribution for the causes of homelessness among domiciled and homeless people in Madrid (Spain).

    Science.gov (United States)

    Vázquez, José Juan; Panadero, Sonia; Zúñiga, Claudia

    2017-01-01

    The study analyzes the differences in causal attributions of homelessness and attributions of responsibility among the members of 3 groups: homeless group, consisting of a representative sample of homeless people in Madrid, Spain (n = 188); domiciled service-users group, consisting of people at risk of homelessness (n = 164); and domiciled nonservice-users group, consisting of people at no imminent risk of homelessness (n = 180). The domiciled service-users group and domiciled nonservice-users group were matched to the homeless group or sex, age, and nationality. The article also analyzes homeless people's causal attributions as regards their own situation. The results show that compared with the domiciled nonservice-users group, a higher percentage of members of the homeless group and domiciled service-users group attributed homelessness to individualistic causes and they blamed homeless people for their situation to a greater extent. The results also show that there was no "actor-observer bias" in causal attributions for homelessness in Madrid. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  8. Knowledge Mining from Clinical Datasets Using Rough Sets and Backpropagation Neural Network

    Directory of Open Access Journals (Sweden)

    Kindie Biredagn Nahato

    2015-01-01

    Full Text Available The availability of clinical datasets and knowledge mining methodologies encourages the researchers to pursue research in extracting knowledge from clinical datasets. Different data mining techniques have been used for mining rules, and mathematical models have been developed to assist the clinician in decision making. The objective of this research is to build a classifier that will predict the presence or absence of a disease by learning from the minimal set of attributes that has been extracted from the clinical dataset. In this work rough set indiscernibility relation method with backpropagation neural network (RS-BPNN is used. This work has two stages. The first stage is handling of missing values to obtain a smooth data set and selection of appropriate attributes from the clinical dataset by indiscernibility relation method. The second stage is classification using backpropagation neural network on the selected reducts of the dataset. The classifier has been tested with hepatitis, Wisconsin breast cancer, and Statlog heart disease datasets obtained from the University of California at Irvine (UCI machine learning repository. The accuracy obtained from the proposed method is 97.3%, 98.6%, and 90.4% for hepatitis, breast cancer, and heart disease, respectively. The proposed system provides an effective classification model for clinical datasets.

  9. KNOWLEDGE CYCLE AND STRATEGIC KNOWLEDGE WITHIN COMPANY

    Directory of Open Access Journals (Sweden)

    Ovidiu NICOLESCU

    2007-01-01

    Full Text Available In the knowledge-based economy, a company performs a set of activities focused on knowledge: identifying necessary knowledge, buying knowledge, learning, acquiring knowledge, creating knowledge, storing knowledge, sharing knowledge, using knowledge, protection of knowledge, capitalizing knowledge. As a result, a new function emerge: the knowledge function. In the knowledge-based companies, not every knowledge has the same impact. The analysis of the actual situations in the most developed and highly performing companies - based in knowledge, outlines the occurrence of a new category of knowledge – strategic knowledge. Generating this category of knowledge is a new category of challenge for the scientific system.

  10. Ants learn to rely on more informative attributes during decision-making.

    Science.gov (United States)

    Sasaki, Takao; Pratt, Stephen C

    2013-01-01

    Evolutionary theory predicts that animals act to maximize their fitness when choosing among a set of options, such as what to eat or where to live. Making the best choice is challenging when options vary in multiple attributes, and animals have evolved a variety of heuristics to simplify the task. Many of these involve ranking or weighting attributes according to their importance. Because the importance of attributes can vary across time and place, animals might benefit by adjusting weights accordingly. Here, we show that colonies of the ant Temnothorax rugatulus use their experience during nest site selection to increase weights on more informative nest attributes. These ants choose their rock crevice nests on the basis of multiple features. After exposure to an environment where only one attribute differentiated options, colonies increased their reliance on this attribute relative to a second attribute. Although many species show experience-based changes in selectivity based on a single feature, this is the first evidence in animals for adaptive changes in the weighting of multiple attributes. These results show that animal collectives, like individuals, change decision-making strategies according to experience. We discuss how these colony-level changes might emerge from individual behaviour.

  11. Correlation of Safety Culture Attributes in Construction Industry

    Directory of Open Access Journals (Sweden)

    Pervez Shaikh

    2013-07-01

    Full Text Available The importance of construction industry can not be overemphasized because it is one of the biggest contributors toward economic activities of a country. It employs a countable number of workforce and it is prone to accidents, incidents, hazards and disasters, therefore, the safety factor is equally important. The current research explores safety culture in the perspective of its important attributes. The EFQM (European Foundation for Quality Management is taken as the bases for finding the ways and means of safety culture improvement of the construction industry. The correlation of pattern of responses is found for every attribute of the safety culture and the interrelationships and strengths are worked out to detect the involvement of the attribute.

  12. Attributional style and depression in multiple sclerosis: the learned helplessness model.

    Science.gov (United States)

    Vargas, Gray A; Arnett, Peter A

    2013-01-01

    Several etiologic theories have been proposed to explain depression in the general population. Studying these models and modifying them for use in the multiple sclerosis (MS) population may allow us to better understand depression in MS. According to the reformulated learned helplessness (LH) theory, individuals who attribute negative events to internal, stable, and global causes are more vulnerable to depression. This study differentiated attributional style that was or was not related to MS in 52 patients with MS to test the LH theory in this population and to determine possible differences between illness-related and non-illness-related attributions. Patients were administered measures of attributional style, daily stressors, disability, and depressive symptoms. Participants were more likely to list non-MS-related than MS-related causes of negative events on the Attributional Style Questionnaire (ASQ), and more-disabled participants listed significantly more MS-related causes than did less-disabled individuals. Non-MS-related attributional style correlated with stress and depressive symptoms, but MS-related attributional style did not correlate with disability or depressive symptoms. Stress mediated the effect of non-MS-related attributional style on depressive symptoms. These results suggest that, although attributional style appears to be an important construct in MS, it does not seem to be related directly to depressive symptoms; rather, it is related to more perceived stress, which in turn is related to increased depressive symptoms.

  13. The Role of Green and Traditional Supplier Attributes on Business Performance

    Directory of Open Access Journals (Sweden)

    José Roberto Mendoza-Fong

    2017-08-01

    Full Text Available Supplier evaluation and selection are fundamental tasks since they are part of the production process and even initiate the supply chain (SC. Despite their importance in the production system, supplier evaluation and selection may be challenging activities to be performed if companies look at the wide range of available evaluation techniques and methodologies, which now seek to integrate both traditional and green attributes. In addition, companies may refuse to take into account green attributes during the supplier selection process, because they do not know their impact on commercial benefits. To overcome this limitation, this study examines the Mexican manufacturing sector and measures the impact of supplier traditional attributes and green attributes on business performance, namely production process benefits and commercial benefits. As data collection instrument, we administered a survey to 253 supplier evaluators and selectors; then, using the gathered data, we constructed a structural equation model. The model includes four variables to determine the impact of traditional and green attributes on business performance: green attributes, traditional attributes, production process benefits, and commercial benefits. The results indicate that all the latent variables have positive direct effects on one another. For instance, process benefits show the largest effects on commercial benefits, but the most significant effect is caused by traditional attributes on commercial benefits through green attributes and production process benefits.

  14. Delivering Key Graduate Attributes via Teams Working in Virtual Space

    Directory of Open Access Journals (Sweden)

    Lyn Brodie

    2011-09-01

    Full Text Available Transferable skills are gaining an increasing emphasis in engineering education. The skills of teamwork, communication, self directed learning and problem solving feature in most of the accrediting agencies criteria. This paper is a case study of a course which uses Problem Based Learning method to deliver key transferable skills to engineering students studying via distance education The students use a range of communication systems including a Learning Management System which offers synchronous and asynchronous communications to work in a team where there is no face to face contact between either the team members or with the supervising academic. The teams solve open ended, contextualised engineering problems. These teams form a learning community which scaffolds individual and team learning goals. Results from a longitudinal study show that students significantly increase their teamwork, communication, problem solving and self directed learning skills. These are key graduate attributes now required by professional accreditation bodies. In addition specific theoretical and technical skills and knowledge are learnt and applied to new problems.

  15. Stated Preference Methods for Valuation of Forest Attributes

    Science.gov (United States)

    Thomas P. Holmes; Kevin J. Boyle

    2003-01-01

    The valuation methods described in this chapter are based on the idea that forest ecosystems produce a wide variety of goods and services that are valued by people. Rather than focusing attention on the holistic value of forest ecosystems as is done in contingent valuation studies, attribute-based valuation methods (ABMs) focus attention on a set of attributes that...

  16. 26 CFR 1.826-5 - Attribution of tax.

    Science.gov (United States)

    2010-04-01

    ...) § 1.826-5 Attribution of tax. (a) In general. Section 826(e) provides that a reciprocal making the election allowed by section 826(a) shall be credited with so much of the tax paid by the attorney-in-fact as is attributable to the income received by the attorney-in-fact from the reciprocal in such taxable...

  17. School historical knowledge: fixation of meanings from an evaluation policy in Rio de Janeiro

    Directory of Open Access Journals (Sweden)

    Marcus Leonardo Bomfim Martins

    2016-09-01

    Full Text Available The purpose of this paper is to problematize the dispute over the fixation of meanings of school historical knowledge in Saerjinho - the evaluative instrument that makes up the evaluation system of the network in Rio de Janeiro. Conceiving the curriculum as signification practice and attribution of meaning and evaluation as a policy and curricular practice, information provided by the website of the Department of Education was analyzed, as were questions of History exams and semi-structured interviews with teachers of this discipline, from a discursive epistemic posture in the post-foundational agenda that understands the production of meaning as a political act. The analysis showed that there are disputes not over what the set historical knowledge consists of, but over who has the right to establish such knowledge within the evaluative instrument.

  18. Passenger choice attributes in choosing a secondary airport: A study of passenger attributes in using Lanseria International Airport

    Directory of Open Access Journals (Sweden)

    Elmarie Kriel

    2016-11-01

    operating from Lanseria International Airport, the attributes passengers regard as important in their decision to fly from the airport remained unchanged. Conclusion: The aim of the research is to gain a deeper understanding of the factors involved in secondary airport selection and, building on this knowledge, to assist airport owners and managers in positioning their airports in a multi-airport competitive environment. Similarly, the findings of the research could assist airlines in their decision-making process to operate from secondary airports

  19. Attribute Obfuscation with Gradient Reversal

    NARCIS (Netherlands)

    Emmery, Chris; Manjavacas, Enrique; Chrupala, Grzegorz

    2018-01-01

    Recent advances in computational stylometry have demonstrated that automatically inferring quite an extensive set of personal attributes from text alone (e.g. gender, age, education, socio-economic status, mental health issues) is not only feasible, but can often rely on little supervision. This

  20. A longitudinal twin study of the direction of effects between ADHD symptoms and IQ.

    Directory of Open Access Journals (Sweden)

    Anna Sophie Rommel

    Full Text Available While the negative association between ADHD symptoms and IQ is well documented, our knowledge about the direction and aetiology of this association is limited. Here, we examine the association of ADHD symptoms with verbal and performance IQ longitudinally in a population-based sample of twins. In a population-based sample of 4,771 twin pairs, DSM-IV ADHD symptoms were obtained from the Conners' Parent Rating Scale-Revised. Verbal (vocabulary and performance (Raven's Progressive Matrices IQ were assessed online. ADHD symptom ratings and IQ scores were obtained at ages 12, 14 and 16 years. Making use of the genetic sensitivity and time-ordered nature of our data, we use a cross-lagged model to examine the direction of effects, while modelling the aetiologies of the association between ADHD symptoms with vocabulary and Raven's scores over time. Although time-specific aetiological influences emerged for each trait at ages 14 and 16 years, the aetiological factors involved in the association between ADHD symptoms and IQ were stable over time. ADHD symptoms and IQ scores significantly predicted each other over time. ADHD symptoms at age 12 years were a significantly stronger predictor of vocabulary and Raven's scores at age 14 years than vice versa, whereas no differential predictive effects emerged from age 14 to 16 years. The results suggest that ADHD symptoms may put adolescents at risk for decreased IQ scores. Persistent genetic influences seem to underlie the association of ADHD symptoms and IQ over time. Early intervention is likely to be key to reducing ADHD symptoms and the associated risk for lower IQ.

  1. Motive attribution asymmetry for love vs. hate drives intractable conflict.

    Science.gov (United States)

    Waytz, Adam; Young, Liane L; Ginges, Jeremy

    2014-11-04

    Five studies across cultures involving 661 American Democrats and Republicans, 995 Israelis, and 1,266 Palestinians provide previously unidentified evidence of a fundamental bias, what we term the "motive attribution asymmetry," driving seemingly intractable human conflict. These studies show that in political and ethnoreligious intergroup conflict, adversaries tend to attribute their own group's aggression to ingroup love more than outgroup hate and to attribute their outgroup's aggression to outgroup hate more than ingroup love. Study 1 demonstrates that American Democrats and Republicans attribute their own party's involvement in conflict to ingroup love more than outgroup hate but attribute the opposing party's involvement to outgroup hate more than ingroup love. Studies 2 and 3 demonstrate this biased attributional pattern for Israelis and Palestinians evaluating their own group and the opposing group's involvement in the current regional conflict. Study 4 demonstrates in an Israeli population that this bias increases beliefs and intentions associated with conflict intractability toward Palestinians. Finally, study 5 demonstrates, in the context of American political conflict, that offering Democrats and Republicans financial incentives for accuracy in evaluating the opposing party can mitigate this bias and its consequences. Although people find it difficult to explain their adversaries' actions in terms of love and affiliation, we suggest that recognizing this attributional bias and how to reduce it can contribute to reducing human conflict on a global scale.

  2. New paradigms for Salmonella source attribution based on microbial subtyping.

    Science.gov (United States)

    Mughini-Gras, Lapo; Franz, Eelco; van Pelt, Wilfrid

    2018-05-01

    Microbial subtyping is the most common approach for Salmonella source attribution. Typically, attributions are computed using frequency-matching models like the Dutch and Danish models based on phenotyping data (serotyping, phage-typing, and antimicrobial resistance profiling). Herewith, we critically review three major paradigms facing Salmonella source attribution today: (i) the use of genotyping data, particularly Multi-Locus Variable Number of Tandem Repeats Analysis (MLVA), which is replacing traditional Salmonella phenotyping beyond serotyping; (ii) the integration of case-control data into source attribution to improve risk factor identification/characterization; (iii) the investigation of non-food sources, as attributions tend to focus on foods of animal origin only. Population genetics models or simplified MLVA schemes may provide feasible options for source attribution, although there is a strong need to explore novel modelling options as we move towards whole-genome sequencing as the standard. Classical case-control studies are enhanced by incorporating source attribution results, as individuals acquiring salmonellosis from different sources have different associated risk factors. Thus, the more such analyses are performed the better Salmonella epidemiology will be understood. Reparametrizing current models allows for inclusion of sources like reptiles, the study of which improves our understanding of Salmonella epidemiology beyond food to tackle the pathogen in a more holistic way. Copyright © 2017 Elsevier Ltd. All rights reserved.

  3. Perception of risk and the attribution of responsibility for accidents.

    Science.gov (United States)

    Rickard, Laura N

    2014-03-01

    Accidents, one often hears, "happen"; we accept, and even expect, that they will be part of daily life. But in situations in which injury or death result, judgments of responsibility become critical. How might our perceptions of risk influence the ways in which we allocate responsibility for an accident? Drawing from attribution and risk perception theory, this study investigates how perceived controllability and desirability of risk, in addition to perceived danger and recreational risk-taking, relate to attributions of responsibility for the cause of unintentional injury in a unique setting: U.S. national parks. Three parks, Mount Rainier, Olympic, and Delaware Water Gap, provide the setting for this survey-based study, which considers how park visitors (N = 447) attribute responsibility for the cause of a hypothetical visitor accident. Results suggest that respondents tended to make more internal (i.e., related to characteristics of the victim), rather than external (i.e., related to characteristics of the park, or park management) attributions. As respondents viewed park-related risk as controllable, they were more likely to attribute the cause of the accident to the victim. Moreover, among other significant variables, having experienced a similar accident predicted lower internal causal attribution. Opportunities for future research linking risk perception and attribution variables, as well as practical implications for the management of public outdoor settings, are presented. © 2013 Society for Risk Analysis.

  4. Patient and physician preferences for attributes of coronary revascularization

    Directory of Open Access Journals (Sweden)

    Magliano CAS

    2018-05-01

    Full Text Available Carlos Alberto da Silva Magliano,1 Andrea Liborio Monteiro,2 Bernardo Rangel Tura,1 Claudia Silvia Rocha Oliveira,1 Amanda Rebeca de Oliveira Rebelo,1 Claudia Cristina de Aguiar Pereira3 1HTA Department, National Institute of Cardiology, Rio de Janeiro, Brazil; 2Department of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, USA; 3The National School of Public Health Sergio Arouca ENSP/Fiocruz, Rio de Janeiro, Brazil Background: Patients with a diagnosis of coronary artery disease (CAD may face important decisions regarding treatment options, with the “right choice” depending on the relative weights of risks and benefits. Studies performed as discrete choice experiments are used to estimate these weights, and attribute selection is an essential step in the design of these studies. Attributes not included in the design cannot be analyzed. In this study, we aimed to elicit, rank, and rate attributes that may be considered important to patients and physicians who must choose between angioplasty and surgery for coronary revascularization. Methods: The elicitation process involved performing a systematic review to search for attributes cited in declared preference studies in addition to face-to-face interviews with cardiologists and experts. The interviews were audio-recorded in digital format, and the collected data were transcribed and searched to identify new attributes. The criterion used to finish the data collection process was sampling saturation. Results: A systematic review resulted in the selection of the following 14 attributes: atrial fibrillation, heart failure, incision scar, length of stay, long-term survival, myocardial infarction, periprocedural death, postoperative infection, postprocedural angina, pseudoaneurysm, renal failure, repeat coronary artery bypass grafting, repeat percutaneous coronary intervention, and stroke. The interviews added no new attributes. After

  5. "Tacit Knowledge" versus "Explicit Knowledge"

    DEFF Research Database (Denmark)

    Sanchez, Ron

    creators and carriers. By contrast, the explicit knowledge approach emphasizes processes for articulating knowledge held by individuals, the design of organizational approaches for creating new knowledge, and the development of systems (including information systems) to disseminate articulated knowledge...

  6. Pathology of knowledge strategy barriers in organization: a case study

    Directory of Open Access Journals (Sweden)

    Mehdi Kheirandish

    2012-10-01

    Full Text Available Knowledge management plays an important role on the success of organizations but there are several reasons that many organizations fail to talk a full advantage of the benefits of knowledge management implementation. In this paper, we perform an empirical investigation on supreme audit court organization of Iran. The survey uses a standard questionnaire and distributes 116 questionnaires among 228 people who worked for this organization. Cronbach alpha yields 0.817, which is well above the minimum acceptable level. Kolmogorov–Smirnov test has been performed to examine the normality of the data and yields 1.71 for management attributes, 1.78 is for resource factors and 1.73 for environment factors and P-value for all three factors is 0.000. The preliminary results of our survey indicate that management is the first important factor followed by resources and environment factors.

  7. Quality Attributes and Service-Oriented Architectures

    National Research Council Canada - National Science Library

    O'Brien, Liam; Bass, Len; Merson, Paulo

    2005-01-01

    .... Because software architecture is the bridge between mission/business goals and a software-intensive system, and quality attribute requirements drive software architecture design, it is important...

  8. Causal attribution of mental illness in South-Eastern Nigeria.

    Science.gov (United States)

    Ikwuka, Ugo; Galbraith, Niall; Nyatanga, Lovemore

    2014-05-01

    Understanding of mental illness in sub-Saharan Africa has remained under-researched in spite of the high and increasing neuropsychiatric burden of disease in the region. This study investigated the causal beliefs that the Igbo people of south-eastern Nigeria hold about schizophrenia, with a view to establishing the extent to which the population makes psychosocial, biological and supernatural attributions. Multi-stage sampling was used to select participants (N = 200) to which questionnaires were administered. Mean comparison of the three causal models revealed a significant endorsement of supernatural causation. Logistic regressions revealed significant contributions of old age and female gender to supernatural attribution; old age, high education and Catholic religious denomination to psychosocial attributions; and high education to biological attributions. It is hoped that the findings would enlighten, augment literature and enhance mental health care service delivery.

  9. AcquisitionFootprintAttenuationDrivenbySeismicAttributes

    Directory of Open Access Journals (Sweden)

    Cuellar-Urbano Mayra

    2014-04-01

    Full Text Available Acquisition footprint, one of the major problems that PEMEX faces in seismic imaging, is noise highly correlated to the geometric array of sources and receivers used for onshore and offshore seismic acquisitions. It prevails in spite of measures taken during acquisition and data processing. This pattern, throughout the image, is easily confused with geological features and misguides seismic attribute computation. In this work, we use seismic data from PEMEX Exploración y Producción to show the conditioning process for removing random and coherent noise using linear filters. Geometric attributes used in a workflow were computed for obtaining an acquisition footprint noise model and adaptively subtract it from the seismic data.

  10. What teacher factors influence their attributions for children's difficulties in learning?

    Science.gov (United States)

    Brady, Katy; Woolfson, Lisa

    2008-12-01

    Identifying the factors that influence teacher beliefs about teaching children with learning difficulties is important for the success of inclusive education. This study explores the relationship between teachers' role, self-efficacy, attitudes towards disabled people, teaching experience and training, on teachers' attributions for children's difficulties in learning. One hundred and eighteen primary school teachers (44 general mainstream, 33 mainstream learning support, and 41 special education teachers) completed the short form of the Teachers' Sense of Efficacy Scale, the Interaction with Disabled Persons Scale (IDP), and a revised version of the Teacher Attribution Scale. Regression analysis found that teachers' role influenced stability and controllability attributions. However, for stability attributions the effect was not sustained when examined in the context of the other factors of teaching efficacy, experience, training, and attitudes towards disability. What emerged as important instead was strong feelings of sympathy towards disabled people which predicted stable attributions about learning difficulties. Experience of teaching children with additional support needs and teaching efficacy positively predicted external locus of causality attributions. Surprisingly, training was not found to have an impact on attributions. A mixed MANOVA found that mainstream teachers' controllability attributions were influenced by whether or not the child had identified learning support needs. Teacher efficacy, experience of teaching students with support needs, attitudes towards disabled people, and teachers' role all impact on teacher attributions, but no relationship with training was found. Implications for teacher training and development, and for student achievement and student self-perception are discussed.

  11. Knowledge translation in health care: a concept analysis.

    Science.gov (United States)

    Khoddam, Homeira; Mehrdad, Neda; Peyrovi, Hamid; Kitson, Alison L; Schultz, Timothy J; Athlin, Asa Muntlin

    2014-01-01

    Although knowledge translation is one of the most widely used concepts in health and medical literature, there is a sense of ambiguity and confusion over its definition. The aim of this paper is to clarify the characteristics of KT. This will assist the theoretical development of it and shape its implementation into the health care system Methods: Walker and Avant's framework was used to analyze the concept and the related literature published between 2000 and 2010 was reviewed. A total of 112 papers were analyzed. Review of the literature showed that "KT is a process" and "implementing refined knowledge into a participatory context through a set of challenging activities" are the characteristics of KT. Moreover, to occur successfully, KT needs some necessary antecedents like an integrated source of knowledge, a receptive context, and preparedness. The main consequence of successful process is a change in four fields of healthcare, i.e. quality of patient care, professional practice, health system, and community. In addition, this study revealed some empirical referents which are helpful to evaluate the process. By aiming to portray a clear picture of KT, we highlighted its attributes, antecedents, consequences and empirical referents. Identifying the characteristics of this concept may resolve the existing ambiguities in its definition and boundaries thereby facilitate distinction from similar concepts. In addition, these findings can be used as a knowledge infrastructure for developing the KT-related models, theories, or tools.

  12. Abstract Interpretation Using Attribute Grammar

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    1990-01-01

    This paper deals with the correctness proofs of attribute grammars using methods from abstract interpretation. The technique will be described by defining a live-variable analysis for a small flow-chart language and proving it correct with respect to a continuation style semantics. The proof...

  13. An unprecedented multi attribute decision making using graph theory matrix approach

    Directory of Open Access Journals (Sweden)

    N.K. Geetha

    2018-02-01

    Full Text Available A frame work for investigating the best combination of functioning parameters on a variable compression ratio diesel engine is proposed in the present study using a multi attribute optimization methodology, Graph Theory Matrix Approach. The functioning parameters, attributes, sub attributes and functioning variables of sub attributes are chosen based on expert’s opinion and literature review. The directed graphs are developed for attributes and sub attributes. The ‘Parameter Index’ was calculated for all trials to choose the best trial. The experimental results are verified with the theoretical data. Functioning parameters with combination of compression ratio of 17, fuel injection pressure of 20 N/mm2 and fuel injection pressure of 21°bTDC was found to be best. The proposed method allows the decision maker to systematically and logically find the best combination of functioning parameters.

  14. Reply to Colom and Abad (2006)

    Science.gov (United States)

    Mackintosh, N. J.

    2007-01-01

    Mackintosh and Bennett [Mackintosh, N. J., Bennett, E. S. (2005). What do Raven's Matrices measure? An analysis in terms of sex differences. "Intelligence, 33," 663-674] reported that male students obtained higher scores than females on Raven's items that required for their solution addition/subtraction or distribution of two rules, but…

  15. Development of a Prototype Model-Form Uncertainty Knowledge Base

    Science.gov (United States)

    Green, Lawrence L.

    2016-01-01

    Uncertainties are generally classified as either aleatory or epistemic. Aleatory uncertainties are those attributed to random variation, either naturally or through manufacturing processes. Epistemic uncertainties are generally attributed to a lack of knowledge. One type of epistemic uncertainty is called model-form uncertainty. The term model-form means that among the choices to be made during a design process within an analysis, there are different forms of the analysis process, which each give different results for the same configuration at the same flight conditions. Examples of model-form uncertainties include the grid density, grid type, and solver type used within a computational fluid dynamics code, or the choice of the number and type of model elements within a structures analysis. The objectives of this work are to identify and quantify a representative set of model-form uncertainties and to make this information available to designers through an interactive knowledge base (KB). The KB can then be used during probabilistic design sessions, so as to enable the possible reduction of uncertainties in the design process through resource investment. An extensive literature search has been conducted to identify and quantify typical model-form uncertainties present within aerospace design. An initial attempt has been made to assemble the results of this literature search into a searchable KB, usable in real time during probabilistic design sessions. A concept of operations and the basic structure of a model-form uncertainty KB are described. Key operations within the KB are illustrated. Current limitations in the KB, and possible workarounds are explained.

  16. Causal Attributions of Success and Failure and Mood States in Football Players

    Directory of Open Access Journals (Sweden)

    Szczepaniak Joanna

    2016-12-01

    Full Text Available Introduction. The aim of the study was to determine the causal attributions of success and failure in a football match in a group of football players, as well as to investigate the association of the players’ attributions with their level of achievement and the relationships between their causal attributions and affective states. Material and methods. The study involved 75 football players, including 44 players from the first league and 31 players from the third league. The research was carried out using the Profile of Mood States (POMS by D.M. McNair, M. Lorr, and L.F. Droppleman and a specially designed questionnaire concerning the causal attributions of success and failure. Results. It was found that the football players who participated in the study tended to attribute success to internal causes and failure to external causes. More frequent use of external attributions most likely had an adverse impact on the mood state of the players. Conclusion. Information concerning the attributions that a given player makes can be useful for coaches, as it can help them develop the athlete’s mental abilities more effectively. Beliefs related to attributions can be modified. It is worth considering the benefits of encouraging internal attributions in the case of success and external attributions in situations of failure.

  17. EXPERIMENTAL SUBSTANTIATION OF ATTRIBUTIONAL STYLE IN TRAFFIC POLICE OFFICERS’ BEHAVIOR

    Directory of Open Access Journals (Sweden)

    Olga Vladimirovna Merkusheva

    2016-02-01

    Full Text Available The article prepared for the ‘Psychological and Methodological Aspects of Professional Personnel Training at Internal Affairs Bodies of the Russian Federation’ scholar tradition looks at the applied aspect of handling security issues by traffic police officers. It presents the results of empirical study of the employees’ psychological characteristics conducted to substantiate their attributional style, which determines the specific character as well as the qua-lity and reliability of traffic police officers’ performance. Traffic police officers’ attributional style of behavior is researched with the help of attributional cognitive techniques for hazard phenomena detection as well as social perception and attribution technique and is viewed as the most stable entity, which reflects the employee’s personal and professional focus.Goal: to provide empirical substantiation of attributional style in traffic police officers’ behavior as an integral personality characteristic that ensures timely detection of hazard phenomena.

  18. Multiattribute perceptual mapping with idiosyncratic brand and attribute sets

    NARCIS (Netherlands)

    T.H.A. Bijmolt (Tammo); M. van de Velden (Michel)

    2012-01-01

    textabstractThis article proposes an extremely flexible procedure for perceptual mapping based on multiattribute ratings, such that the respondent freely generates sets of both brands and attributes. Therefore, the brands and attributes are known and relevant to each participant. Collecting and

  19. Management of knowledge across generations: preventing knowledge loss, enabling knowledge readiness

    International Nuclear Information System (INIS)

    Day, John A.

    2012-01-01

    J. Day argued that the preservation of records is a necessary, but not a sufficient condition to enable intelligent future decision making and management of nuclear waste. He distinguishes knowledge management from information management. Information without the potential to act on it is information for its own sake. He believes that knowledge will be a key factor for the generations that follow us. Records need knowledge, and knowledge needs records. A single representation of knowledge can be dangerous. Knowledge is multifaceted and complex, which necessitates a holistic approach. Throughout the presentation the concepts of 'knowledge readiness' and 'knowledge mothballing' (the process of knowing, forgetting and relearning) were proposed. Based on experiences at Sellafield the actions of knowledge audit mapping (including technical, societal and historical knowledge), knowledge loss risk assessing (although we would like to we cannot hold on to everything, and should thus take a risk approach, asking ourselves what is at stake if we delete certain parts of information), and knowledge retention for the long term management of a nuclear facility were presented. During the discussion, the link between knowledge and behaviour was raised. It was argued that the better informed people are, the less likely they are to make mistakes

  20. [Nursing knowledge: the evolution of scientific philosophies and paradigm trends].

    Science.gov (United States)

    Hung, Hsuan-Man; Wang, Hui-Ling; Chang, Yun-Hsuan; Chen, Chung-Hey

    2010-02-01

    Different aspects of philosophy are derived from different paradigms that contain various main points, some of which are repeated or overlap. Belief and practice are two components of a paradigm that provide perspective and framework and lead to nursing research. Changes in healthcare have popularized empirical and evidence-based research in the field of nursing research. However, the evidence-base study approach has given rise to a certain level of debate. Until now, no standard paradigm has been established for the nursing field, as different professionals use different paradigms in their studies. Such provides certain limitations as well as advantages. The quantitative aspects of a nursing paradigm were developed by Peplau and Henderson (1950) and Orem (1980). Such remained the standard until 1990, when Guba and Parse proposed qualitative viewpoints in contextual features. Therefore, the nursing paradigm has made great contributions to the development of knowledge in nursing care, although debate continues due to incomplete knowledge attributable to the presentation of knowledge and insight within individually developed paradigms. It is better to apply multiple paradigms to different research questions. It is suggested that better communication amongst experts regarding their individual points of view would help nursing members to integrate findings within the global pool of knowledge and allow replication over multiple studies.