WorldWideScience

Sample records for event knowledge complexity

  1. Neural bases of event knowledge and syntax integration in comprehension of complex sentences.

    Science.gov (United States)

    Malaia, Evie; Newman, Sharlene

    2015-01-01

    Comprehension of complex sentences is necessarily supported by both syntactic and semantic knowledge, but what linguistic factors trigger a readers' reliance on a specific system? This functional neuroimaging study orthogonally manipulated argument plausibility and verb event type to investigate cortical bases of the semantic effect on argument comprehension during reading. The data suggest that telic verbs facilitate online processing by means of consolidating the event schemas in episodic memory and by easing the computation of syntactico-thematic hierarchies in the left inferior frontal gyrus. The results demonstrate that syntax-semantics integration relies on trade-offs among a distributed network of regions for maximum comprehension efficiency.

  2. Improving the extraction of complex regulatory events from scientific text by using ontology-based inference.

    Science.gov (United States)

    Kim, Jung-Jae; Rebholz-Schuhmann, Dietrich

    2011-10-06

    The extraction of complex events from biomedical text is a challenging task and requires in-depth semantic analysis. Previous approaches associate lexical and syntactic resources with ontologies for the semantic analysis, but fall short in testing the benefits from the use of domain knowledge. We developed a system that deduces implicit events from explicitly expressed events by using inference rules that encode domain knowledge. We evaluated the system with the inference module on three tasks: First, when tested against a corpus with manually annotated events, the inference module of our system contributes 53.2% of correct extractions, but does not cause any incorrect results. Second, the system overall reproduces 33.1% of the transcription regulatory events contained in RegulonDB (up to 85.0% precision) and the inference module is required for 93.8% of the reproduced events. Third, we applied the system with minimum adaptations to the identification of cell activity regulation events, confirming that the inference improves the performance of the system also on this task. Our research shows that the inference based on domain knowledge plays a significant role in extracting complex events from text. This approach has great potential in recognizing the complex concepts of such biomedical ontologies as Gene Ontology in the literature.

  3. Improving the extraction of complex regulatory events from scientific text by using ontology-based inference

    Directory of Open Access Journals (Sweden)

    Kim Jung-jae

    2011-10-01

    Full Text Available Abstract Background The extraction of complex events from biomedical text is a challenging task and requires in-depth semantic analysis. Previous approaches associate lexical and syntactic resources with ontologies for the semantic analysis, but fall short in testing the benefits from the use of domain knowledge. Results We developed a system that deduces implicit events from explicitly expressed events by using inference rules that encode domain knowledge. We evaluated the system with the inference module on three tasks: First, when tested against a corpus with manually annotated events, the inference module of our system contributes 53.2% of correct extractions, but does not cause any incorrect results. Second, the system overall reproduces 33.1% of the transcription regulatory events contained in RegulonDB (up to 85.0% precision and the inference module is required for 93.8% of the reproduced events. Third, we applied the system with minimum adaptations to the identification of cell activity regulation events, confirming that the inference improves the performance of the system also on this task. Conclusions Our research shows that the inference based on domain knowledge plays a significant role in extracting complex events from text. This approach has great potential in recognizing the complex concepts of such biomedical ontologies as Gene Ontology in the literature.

  4. Consolidation of Complex Events via Reinstatement in Posterior Cingulate Cortex

    Science.gov (United States)

    Keidel, James L.; Ing, Leslie P.; Horner, Aidan J.

    2015-01-01

    It is well-established that active rehearsal increases the efficacy of memory consolidation. It is also known that complex events are interpreted with reference to prior knowledge. However, comparatively little attention has been given to the neural underpinnings of these effects. In healthy adults humans, we investigated the impact of effortful, active rehearsal on memory for events by showing people several short video clips and then asking them to recall these clips, either aloud (Experiment 1) or silently while in an MRI scanner (Experiment 2). In both experiments, actively rehearsed clips were remembered in far greater detail than unrehearsed clips when tested a week later. In Experiment 1, highly similar descriptions of events were produced across retrieval trials, suggesting a degree of semanticization of the memories had taken place. In Experiment 2, spatial patterns of BOLD signal in medial temporal and posterior midline regions were correlated when encoding and rehearsing the same video. Moreover, the strength of this correlation in the posterior cingulate predicted the amount of information subsequently recalled. This is likely to reflect a strengthening of the representation of the video's content. We argue that these representations combine both new episodic information and stored semantic knowledge (or “schemas”). We therefore suggest that posterior midline structures aid consolidation by reinstating and strengthening the associations between episodic details and more generic schematic information. This leads to the creation of coherent memory representations of lifelike, complex events that are resistant to forgetting, but somewhat inflexible and semantic-like in nature. SIGNIFICANCE STATEMENT Memories are strengthened via consolidation. We investigated memory for lifelike events using video clips and showed that rehearsing their content dramatically boosts memory consolidation. Using MRI scanning, we measured patterns of brain activity while

  5. Semantic Complex Event Processing over End-to-End Data Flows

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Qunzhi [University of Southern California; Simmhan, Yogesh; Prasanna, Viktor K.

    2012-04-01

    Emerging Complex Event Processing (CEP) applications in cyber physical systems like SmartPower Grids present novel challenges for end-to-end analysis over events, flowing from heterogeneous information sources to persistent knowledge repositories. CEP for these applications must support two distinctive features - easy specification patterns over diverse information streams, and integrated pattern detection over realtime and historical events. Existing work on CEP has been limited to relational query patterns, and engines that match events arriving after the query has been registered. We propose SCEPter, a semantic complex event processing framework which uniformly processes queries over continuous and archived events. SCEPteris built around an existing CEP engine with innovative support for semantic event pattern specification and allows their seamless detection over past, present and future events. Specifically, we describe a unified semantic query model that can operate over data flowing through event streams to event repositories. Compile-time and runtime semantic patterns are distinguished and addressed separately for efficiency. Query rewriting is examined and analyzed in the context of temporal boundaries that exist between event streams and their repository to avoid duplicate or missing results. The design and prototype implementation of SCEPterare analyzed using latency and throughput metrics for scenarios from the Smart Grid domain.

  6. Consolidation of Complex Events via Reinstatement in Posterior Cingulate Cortex.

    Science.gov (United States)

    Bird, Chris M; Keidel, James L; Ing, Leslie P; Horner, Aidan J; Burgess, Neil

    2015-10-28

    It is well-established that active rehearsal increases the efficacy of memory consolidation. It is also known that complex events are interpreted with reference to prior knowledge. However, comparatively little attention has been given to the neural underpinnings of these effects. In healthy adults humans, we investigated the impact of effortful, active rehearsal on memory for events by showing people several short video clips and then asking them to recall these clips, either aloud (Experiment 1) or silently while in an MRI scanner (Experiment 2). In both experiments, actively rehearsed clips were remembered in far greater detail than unrehearsed clips when tested a week later. In Experiment 1, highly similar descriptions of events were produced across retrieval trials, suggesting a degree of semanticization of the memories had taken place. In Experiment 2, spatial patterns of BOLD signal in medial temporal and posterior midline regions were correlated when encoding and rehearsing the same video. Moreover, the strength of this correlation in the posterior cingulate predicted the amount of information subsequently recalled. This is likely to reflect a strengthening of the representation of the video's content. We argue that these representations combine both new episodic information and stored semantic knowledge (or "schemas"). We therefore suggest that posterior midline structures aid consolidation by reinstating and strengthening the associations between episodic details and more generic schematic information. This leads to the creation of coherent memory representations of lifelike, complex events that are resistant to forgetting, but somewhat inflexible and semantic-like in nature. Copyright © 2015 Bird, Keidel et al.

  7. Controlling extreme events on complex networks

    Science.gov (United States)

    Chen, Yu-Zhong; Huang, Zi-Gang; Lai, Ying-Cheng

    2014-08-01

    Extreme events, a type of collective behavior in complex networked dynamical systems, often can have catastrophic consequences. To develop effective strategies to control extreme events is of fundamental importance and practical interest. Utilizing transportation dynamics on complex networks as a prototypical setting, we find that making the network ``mobile'' can effectively suppress extreme events. A striking, resonance-like phenomenon is uncovered, where an optimal degree of mobility exists for which the probability of extreme events is minimized. We derive an analytic theory to understand the mechanism of control at a detailed and quantitative level, and validate the theory numerically. Implications of our finding to current areas such as cybersecurity are discussed.

  8. Characterization of GM events by insert knowledge adapted re-sequencing approaches

    OpenAIRE

    Yang, Litao; Wang, Congmao; Holst-Jensen, Arne; Morisset, Dany; Lin, Yongjun; Zhang, Dabing

    2013-01-01

    Detection methods and data from molecular characterization of genetically modified (GM) events are needed by stakeholders of public risk assessors and regulators. Generally, the molecular characteristics of GM events are incomprehensively revealed by current approaches and biased towards detecting transformation vector derived sequences. GM events are classified based on available knowledge of the sequences of vectors and inserts (insert knowledge). Herein we present three insert knowledge-ad...

  9. Strategies and knowledge used when reconstructing the dates of autobiographical events

    DEFF Research Database (Denmark)

    Holm, Tine; Thomsen, Dorthe Kirkegaard

    Strategies and knowledge used when reconstructing the dates of autobiographical events. Tine Holm and Dorthe Kierkegaard Thomsen Individuals rarely remember the dates of specific memories. Rather they reconstruct dates using a variety of strategies and knowledge. In this study, we examined how...... often individuals use and combine different types of strategies and knowledge. Forty-five participants were each presented with diary descriptions of approximately 42 events from their first term at university that they had written 3 ½ years prior and were asked to date remembered events while...... they thought out loud. The results revealed that participants most frequently used period knowledge as a strategy in dating events. Other frequently used strategies were temporal schemas and temporal landmarks. Participants often combined strategies. Most frequently they combined period knowledge and temporal...

  10. Characterization of GM events by insert knowledge adapted re-sequencing approaches.

    Science.gov (United States)

    Yang, Litao; Wang, Congmao; Holst-Jensen, Arne; Morisset, Dany; Lin, Yongjun; Zhang, Dabing

    2013-10-03

    Detection methods and data from molecular characterization of genetically modified (GM) events are needed by stakeholders of public risk assessors and regulators. Generally, the molecular characteristics of GM events are incomprehensively revealed by current approaches and biased towards detecting transformation vector derived sequences. GM events are classified based on available knowledge of the sequences of vectors and inserts (insert knowledge). Herein we present three insert knowledge-adapted approaches for characterization GM events (TT51-1 and T1c-19 rice as examples) based on paired-end re-sequencing with the advantages of comprehensiveness, accuracy, and automation. The comprehensive molecular characteristics of two rice events were revealed with additional unintended insertions comparing with the results from PCR and Southern blotting. Comprehensive transgene characterization of TT51-1 and T1c-19 is shown to be independent of a priori knowledge of the insert and vector sequences employing the developed approaches. This provides an opportunity to identify and characterize also unknown GM events.

  11. Foundations for Streaming Model Transformations by Complex Event Processing.

    Science.gov (United States)

    Dávid, István; Ráth, István; Varró, Dániel

    2018-01-01

    Streaming model transformations represent a novel class of transformations to manipulate models whose elements are continuously produced or modified in high volume and with rapid rate of change. Executing streaming transformations requires efficient techniques to recognize activated transformation rules over a live model and a potentially infinite stream of events. In this paper, we propose foundations of streaming model transformations by innovatively integrating incremental model query, complex event processing (CEP) and reactive (event-driven) transformation techniques. Complex event processing allows to identify relevant patterns and sequences of events over an event stream. Our approach enables event streams to include model change events which are automatically and continuously populated by incremental model queries. Furthermore, a reactive rule engine carries out transformations on identified complex event patterns. We provide an integrated domain-specific language with precise semantics for capturing complex event patterns and streaming transformations together with an execution engine, all of which is now part of the Viatra reactive transformation framework. We demonstrate the feasibility of our approach with two case studies: one in an advanced model engineering workflow; and one in the context of on-the-fly gesture recognition.

  12. Complexity rating of abnormal events and operator performance

    International Nuclear Information System (INIS)

    Oeivind Braarud, Per

    1998-01-01

    The complexity of the work situation during abnormal situations is a major topic in a discussion of safety aspects of Nuclear Power plants. An understanding of complexity and its impact on operator performance in abnormal situations is important. One way to enhance understanding is to look at the dimensions that constitute complexity for NPP operators, and how those dimensions can be measured. A further step is to study how dimensions of complexity of the event are related to performance of operators. One aspect of complexity is the operator 's subjective experience of given difficulties of the event. Another related aspect of complexity is subject matter experts ratings of the complexity of the event. A definition and a measure of this part of complexity are being investigated at the OECD Halden Reactor Project in Norway. This paper focus on the results from a study of simulated scenarios carried out in the Halden Man-Machine Laboratory, which is a full scope PWR simulator. Six crews of two licensed operators each performed in 16 scenarios (simulated events). Before the experiment subject matter experts rated the complexity of the scenarios, using a Complexity Profiling Questionnaire. The Complexity Profiling Questionnaire contains eight previously identified dimensions associated with complexity. After completing the scenarios the operators received a questionnaire containing 39 questions about perceived complexity. This questionnaire was used for development of a measure of subjective complexity. The results from the study indicated that Process experts' rating of scenario complexity, using the Complexity Profiling Questionnaire, were able to predict crew performance quite well. The results further indicated that a measure of subjective complexity could be developed that was related to crew performance. Subjective complexity was found to be related to subjective work load. (author)

  13. Knowledge Protection and Input Complexity Arising from Open Innovation

    DEFF Research Database (Denmark)

    Peeters, Thijs; Sofka, Wolfgang

    Controlling unique knowledge is of increasing importance to firms. Therefore, firms use knowledge protection mechanisms to prevent competitors from imitating their knowledge. We study the effects of the complexity of knowledge inputs that arises from open innovation on the importance of two widely...... used protection mechanisms: patents and trademarks. We argue that this complexity makes the threat of imitation less predictable, and thus makes knowledge protection more important. By analyzing survey data of 938 German firms, we find that patents are more important for firms in industries with higher...... knowledge input complexity. Furthermore, we show that the dynamics and not the level of knowledge input complexity positively affect the importance of trademarks....

  14. Preventing Medication Error Based on Knowledge Management Against Adverse Event

    OpenAIRE

    Hastuti, Apriyani Puji; Nursalam, Nursalam; Triharini, Mira

    2017-01-01

    Introductions: Medication error is one of many types of errors that could decrease the quality and safety of healthcare. Increasing number of adverse events (AE) reflects the number of medication errors. This study aimed to develop a model of medication error prevention based on knowledge management. This model is expected to improve knowledge and skill of nurses to prevent medication error which is characterized by the decrease of adverse events (AE). Methods: This study consisted of two sta...

  15. An Intelligent Complex Event Processing with D Numbers under Fuzzy Environment

    Directory of Open Access Journals (Sweden)

    Fuyuan Xiao

    2016-01-01

    Full Text Available Efficient matching of incoming mass events to persistent queries is fundamental to complex event processing systems. Event matching based on pattern rule is an important feature of complex event processing engine. However, the intrinsic uncertainty in pattern rules which are predecided by experts increases the difficulties of effective complex event processing. It inevitably involves various types of the intrinsic uncertainty, such as imprecision, fuzziness, and incompleteness, due to the inability of human beings subjective judgment. Nevertheless, D numbers is a new mathematic tool to model uncertainty, since it ignores the condition that elements on the frame must be mutually exclusive. To address the above issues, an intelligent complex event processing method with D numbers under fuzzy environment is proposed based on the Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS method. The novel method can fully support decision making in complex event processing systems. Finally, a numerical example is provided to evaluate the efficiency of the proposed method.

  16. Construction of Intelligence Knowledge Map for Complex Product Development

    Directory of Open Access Journals (Sweden)

    Yan-jie LV,

    2013-11-01

    Full Text Available The complex product design and development is an integrated discipline. A lot of knowledge overloads and knowledge trek phenomenon appeared with the raise of product complexity and the explosion of knowledge and information. To improve the utilization efficiency of the knowledge using and shorten the time and effort spent on the Knowledge screening, avoid missing the knowledge, which is required, the paper proposes a method for the intelligence knowledge map construct model based on knowledge requirements and knowledge connection. Analyzing the context information of the user and giving the method of acquiring the knowledge requirement based on the context information and the user’s personal knowledge structure. This method can get the knowledge requirements of the users to generate the knowledge retrieval expressions to obtain the knowledge points and then construct the intelligent knowledge map through the analysis of multiple dimensions and using the knowledge related to the development of aircraft landing gear as an example to verify the feasibility of this method.

  17. Evaluating the impact of child safety seat check-up events on parental knowledge.

    Science.gov (United States)

    Herring, Ashley B; Jones, Ches; Nunez, Casandra

    2002-12-01

    Riding unrestrained is the greatest risk factor for death and injury among children in motor vehicles. Restraining a child can reduce the risk of death for that child by up to 71%. However, despite increased awareness, child safety seat usage rates are still disturbingly low. The purpose of this study was to evaluate the impact that child safety seat check-up events have on parental knowledge on child safety seats and installation. The subjects for this study were 101 parents/caregivers who attended child safety seat check-up events in northwest Arkansas from May 2000 through June 2001. A 20-item survey was conducted via the telephone. Results showed that the check-up events in northwest Arkansas have had an impact on self-efficacy. The participants of the events were primarily Caucasian and females in the 30-34 age group. Nine of 10 subjects scored in the high knowledge category. Conclusions are that check-up events do have an impact on parental knowledge and are accepted by the target group. Additionally, participants believed that car seats are of great importance and do protect their children in the event of a crash.

  18. Psychological distress and stressful life events in pediatric complex regional pain syndrome

    Science.gov (United States)

    Wager, Julia; Brehmer, Hannah; Hirschfeld, Gerrit; Zernikow, Boris

    2015-01-01

    BACKGROUND: There is little knowledge regarding the association between psychological factors and complex regional pain syndrome (CRPS) in children. Specifically, it is not known which factors precipitate CRPS and which result from the ongoing painful disease. OBJECTIVES: To examine symptoms of depression and anxiety as well as the experience of stressful life events in children with CRPS compared with children with chronic primary headaches and functional abdominal pain. METHODS: A retrospective chart study examined children with CRPS (n=37) who received intensive inpatient pain treatment between 2004 and 2010. They were compared with two control groups (chronic primary headaches and functional abdominal pain; each n=37), who also received intensive inpatient pain treatment. Control groups were matched with the CRPS group with regard to admission date, age and sex. Groups were compared on symptoms of depression and anxiety as well as stressful life events. RESULTS: Children with CRPS reported lower anxiety and depression scores compared with children with abdominal pain. A higher number of stressful life events before and after the onset of the pain condition was observed for children with CRPS. CONCLUSIONS: Children with CRPS are not particularly prone to symptoms of anxiety or depression. Importantly, children with CRPS experienced more stressful life events than children with chronic headaches or abdominal pain. Prospective long-term studies are needed to further explore the potential role of stressful life events in the etiology of CRPS. PMID:26035287

  19. Knowledge Translation and Patient Safety: The Canadian Adverse Events Study

    OpenAIRE

    Baker, G. Ross; Norton, Peter; Flintoft, Virginia

    2006-01-01

    The Canadian Adverse Events Study was the first national study of adverse events in Canadian hospitals. Learning from the controversy surrounding similar studies in other countries, the team engaged in extensive knowledge translation activities throughout the life of the project. Using meetings, Web-based communication and other tools, the team successfully prepared most Canadian stakeholders for the study’s release, allowing them to develop anticipatory patient safety initiatives. However, u...

  20. Productivity? Domain Complexity vs. Tacit Knowledge

    DEFF Research Database (Denmark)

    Madsen, Erik Skov; Mikkelsen, Lars Lindegaard

    This paper discusses productivity in relation to tacit knowledge (which in the paper is regarded as skills, experiences, competences and attitudes) and domain complexity. The study is based on five very different case studies; three studies are conducted in Den¬mark, China, and the Czech Republic...

  1. Knowledge is power: averting safety-compromising events in the OR.

    Science.gov (United States)

    Catalano, Kathleen

    2008-12-01

    Surgical procedures can be unpredictable, and safety-compromising events can jeopardize patient safety. Perioperative nurses should be watchful for factors that can contribute to safety-compromising events, as well as the errors that can follow, and know how to avert them if possible. Knowledge is power and increased awareness of patient safety issues and the resources that are available to both health care practitioners and consumers can help perioperative nurses ward off patient safety problems before they occur.

  2. Articulation of tacit and complex knowledge

    DEFF Research Database (Denmark)

    Kristiansen, Per; Hansen, Poul H. Kyvsgård; Nielsen, Louise Møller

    2009-01-01

    The paper focuses on the articulation of tacit and complex knowledge by taking outset in a specific methodology: LEGO® SERIOUS PLAYTM. In order to expand the methodology and to develop it further we propose to regard it as a language. By choosing a language view we are able to ably a language...

  3. Traditional Knowledge of Western Herbal Medicine and Complex Systems Science.

    Science.gov (United States)

    Niemeyer, Kathryn; Bell, Iris R; Koithan, Mary

    2013-09-01

    Traditional knowledge of Western herbal medicine (WHM) supports experiential approaches to healing that have evolved over time. This is evident in the use of polyherb formulations comprised of crude plant parts, individually tailored to treat the cause of dysfunction and imbalance by addressing the whole person holistically. The challenge for WHM is to integrate science with traditional knowledge that is a foundation of the practice of WHM. The purpose of this paper is to provide a plausible theoretical hypothesis by applying complex systems science to WHM, illustrating how medicinal plants are complex, adaptive, environmentally interactive systems exhibiting synergy and nonlinear healing causality. This paper explores the conceptual congruence between medicinal plants and humans as complex systems coherently coupled through recurrent interaction. Complex systems science provides the theoretical tenets that explain traditional knowledge of medicinal plants while supporting clinical practice and expanding research and documentation of WHM.

  4. Young Children's Knowledge About the Moon: A Complex Dynamic System

    Science.gov (United States)

    Venville, Grady J.; Louisell, Robert D.; Wilhelm, Jennifer A.

    2012-08-01

    The purpose of this research was to use a multidimensional theoretical framework to examine young children's knowledge about the Moon. The research was conducted in the interpretive paradigm and the design was a multiple case study of ten children between the ages of three and eight from the USA and Australia. A detailed, semi-structured interview was conducted with each child. In addition, each child's parents were interviewed to determine possible social and cultural influences on the child's knowledge. We sought evidence about how the social and cultural experiences of the children might have influenced the development of their ideas. From a cognitive perspective we were interested in whether the children's ideas were constructed in a theory like form or whether the knowledge was the result of gradual accumulation of fragments of isolated cultural information. Findings reflected the strong and complex relationship between individual children, their social and cultural milieu, and the way they construct ideas about the Moon and astronomy. Findings are presented around four themes including ontology, creatures and artefacts, animism, and permanence. The findings support a complex dynamic system view of students' knowledge that integrates the framework theory perspective and the knowledge in fragments perspective. An initial model of a complex dynamic system of young children's knowledge about the Moon is presented.

  5. Knowledge Sharing Strategies for Large Complex Building Projects.

    Directory of Open Access Journals (Sweden)

    Esra Bektas

    2013-06-01

    Full Text Available The construction industry is a project-based sector with a myriad of actors such as architects, construction companies, consultants, producers of building materials (Anumba et al., 2005. The interaction between the project partners is often quite limited, which leads to insufficient knowledge sharing during the project and knowledge being unavailable for reuse (Fruchter et al. 2002. The result can be a considerable amount of extra work, delays and cost overruns. Design outcomes that are supposed to function as boundary objects across different disciplines can lead to misinterpretation of requirements, project content and objectives. In this research, knowledge is seen as resulting from social interactions; knowledge resides in communities and it is generated through social relationships (Wenger 1998, Olsson et al. 2008. Knowledge is often tacit, intangible and context-dependent and it is articulated in the changing responsibilities, roles, attitudes and values that are present in the work environment (Bresnen et al., 2003. In a project environment, knowledge enables individuals to solve problems, take decisions, and apply these decisions to actions. In order to achieve a shared understanding and minimize the misunderstanding and misinterpretations among project actors, it is necessary to share knowledge (Fong 2003. Sharing knowledge is particularly crucial in large complex building projects (LCBPs in order to accelerate the building process, improve architectural quality and prevent mistakes or undesirable results. However, knowledge sharing is often hampered through professional or organizational boundaries or contractual concerns. When knowledge is seen as an organizational asset, there is little willingness among project organizations to share their knowledge. Individual people may recognize the need to promote knowledge sharing throughout the project, but typically there is no deliberate strategy agreed by all project partners to address

  6. Real-time monitoring of clinical processes using complex event processing and transition systems.

    Science.gov (United States)

    Meinecke, Sebastian

    2014-01-01

    Dependencies between tasks in clinical processes are often complex and error-prone. Our aim is to describe a new approach for the automatic derivation of clinical events identified via the behaviour of IT systems using Complex Event Processing. Furthermore we map these events on transition systems to monitor crucial clinical processes in real-time for preventing and detecting erroneous situations.

  7. Cognitive complexity of the medical record is a risk factor for major adverse events.

    Science.gov (United States)

    Roberson, David; Connell, Michael; Dillis, Shay; Gauvreau, Kimberlee; Gore, Rebecca; Heagerty, Elaina; Jenkins, Kathy; Ma, Lin; Maurer, Amy; Stephenson, Jessica; Schwartz, Margot

    2014-01-01

    Patients in tertiary care hospitals are more complex than in the past, but the implications of this are poorly understood as "patient complexity" has been difficult to quantify. We developed a tool, the Complexity Ruler, to quantify the amount of data (as bits) in the patient’s medical record. We designated the amount of data in the medical record as the cognitive complexity of the medical record (CCMR). We hypothesized that CCMR is a useful surrogate for true patient complexity and that higher CCMR correlates with risk of major adverse events. The Complexity Ruler was validated by comparing the measured CCMR with physician rankings of patient complexity on specific inpatient services. It was tested in a case-control model of all patients with major adverse events at a tertiary care pediatric hospital from 2005 to 2006. The main outcome measure was an externally reported major adverse event. We measured CCMR for 24 hours before the event, and we estimated lifetime CCMR. Above empirically derived cutoffs, 24-hour and lifetime CCMR were risk factors for major adverse events (odds ratios, 5.3 and 6.5, respectively). In a multivariate analysis, CCMR alone was essentially as predictive of risk as a model that started with 30-plus clinical factors. CCMR correlates with physician assessment of complexity and risk of adverse events. We hypothesize that increased CCMR increases the risk of physician cognitive overload. An automated version of the Complexity Ruler could allow identification of at-risk patients in real time.

  8. Survey of Applications of Complex Event Processing (CEP in Health Domain

    Directory of Open Access Journals (Sweden)

    Nadeem Mahmood

    2017-12-01

    Full Text Available It is always difficult to manipulate the production of huge amount of data which comes from multiple sources and to extract meaningful information to make appropriate decisions. When data comes from various input resources, to get required streams of events form this complex input network, the one of the strong functionality of Business Intelligence (BI the Complex Event Processing (CEP is the appropriate solution for the above mention problems. Real time processing, pattern matching, stream processing, big data management, sensor data processing and many more are the application areas of CEP. Health domain itself is a multi-dimension domain such as hospital supply chain, OPD management, disease diagnostic, In-patient, out-patient management, and emergency care etc. In this paper, the main focus is to discuss the application areas of Complex Event Processing (CEP in health domain by using sensor device, such that how CEP manipulate health data set events coming from sensor devices such as blood pressure, heart rate, fall detection, sugar level, temperature or any other vital signs and how this systems respond to these events as quickly as possible. Different existing models and application using CEP are discussed and summarized according to different characteristics.

  9. Knowledge based method for solving complexity in design problems

    NARCIS (Netherlands)

    Vermeulen, B.

    2007-01-01

    The process of design aircraft systems is becoming more and more complex, due to an increasing amount of requirements. Moreover, the knowledge on how to solve these complex design problems becomes less readily available, because of a decrease in availability of intellectual resources and reduced

  10. A Validation System for the Complex Event Processing Directives of the ATLAS Shifter Assistant Tool

    CERN Document Server

    Anders, Gabriel; The ATLAS collaboration; Kazarov, Andrei; Lehmann Miotto, Giovanna; Santos, Alejandro; Soloviev, Igor

    2015-01-01

    Complex Event Processing (CEP) is a methodology that combines data from different sources in order to identify events or patterns that need particular attention. It has gained a lot of momentum in the computing world in the past few years and is used in ATLAS to continuously monitor the behaviour of the data acquisition system, to trigger corrective actions and to guide the experiment’s operators. This technology is very powerful, if experts regularly insert and update their knowledge about the system’s behaviour into the CEP engine. Nevertheless, writing or modifying CEP directives is not trivial since the used programming paradigm is quite different with respect to what developers are normally familiar with. In order to help experts verify that the directives work as expected, we have thus developed a complete testing and validation environment. This system consists of three main parts: the first is the persistent storage of all relevant data streams that are produced during data taking, the second is a...

  11. A Validation System for the Complex Event Processing Directives of the ATLAS Shifter Assistant Tool

    CERN Document Server

    Santos, Alejandro; The ATLAS collaboration; Avolio, Giuseppe; Kazarov, Andrei; Lehmann Miotto, Giovanna; Soloviev, Igor

    2015-01-01

    Complex Event Processing (CEP) is a methodology that combines data from many sources in order to identify events or patterns that need particular attention. It has gained a lot of momentum in the computing world in the past few years and is used in ATLAS to continuously monitor the behaviour of the data acquisition system, to trigger corrective actions and to guide the experiment’s operators. This technology is very powerful, if experts regularly insert and update their knowledge about the system’s behaviour into the CEP engine. Nevertheless, writing or modifying CEP rules is not trivial since the used programming paradigm is quite different with respect to what developers are normally familiar with. In order to help experts verify that the directives work as expected, we have thus developed a complete testing and validation environment. This system consists of three main parts: the first is the data reader from existing storage of all relevant data streams that are produced during data taking, the second...

  12. Cognitive and emotional reactions to daily events: the effects of self-esteem and self-complexity.

    Science.gov (United States)

    Campbell, J D; Chew, B; Scratchley, L S

    1991-09-01

    In this article we examine the effects of self-esteem and self-complexity on cognitive appraisals of daily events and emotional lability. Subjects (n = 67) participated in a 2-week diary study; each day they made five mood ratings, described the most positive and negative events of the day, and rated these two events on six appraisal measures. Neither self-esteem nor self-complexity was related to an extremity measure of mood variability. Both traits were negatively related to measures assessing the frequency of mood change, although the effect of self-complexity dissipated when self-esteem was taken into account. Self-esteem (but not self-complexity) was also related to event appraisals: Subjects with low self-esteem rated their daily events as less positive and as having more impact on their moods. Subjects with high self-esteem made more internal, stable, global attributions for positive events than for negative events, whereas subjects low in self-esteem made similar attributions for both types of events and viewed their negative events as being more personally important than did subjects high in self-esteem. Despite these self-esteem differences in subjects' views of their daily events, naive judges (n = 63) who read the event descriptions and role-played their appraisals of them generally did not distinguish between the events that had been experienced by low self-esteem versus high self-esteem diary subjects.

  13. Navigating complexity through knowledge coproduction: Mainstreaming ecosystem services into disaster risk reduction.

    Science.gov (United States)

    Reyers, Belinda; Nel, Jeanne L; O'Farrell, Patrick J; Sitas, Nadia; Nel, Deon C

    2015-06-16

    Achieving the policy and practice shifts needed to secure ecosystem services is hampered by the inherent complexities of ecosystem services and their management. Methods for the participatory production and exchange of knowledge offer an avenue to navigate this complexity together with the beneficiaries and managers of ecosystem services. We develop and apply a knowledge coproduction approach based on social-ecological systems research and assess its utility in generating shared knowledge and action for ecosystem services. The approach was piloted in South Africa across four case studies aimed at reducing the risk of disasters associated with floods, wildfires, storm waves, and droughts. Different configurations of stakeholders (knowledge brokers, assessment teams, implementers, and bridging agents) were involved in collaboratively designing each study, generating and exchanging knowledge, and planning for implementation. The approach proved useful in the development of shared knowledge on the sizable contribution of ecosystem services to disaster risk reduction. This knowledge was used by stakeholders to design and implement several actions to enhance ecosystem services, including new investments in ecosystem restoration, institutional changes in the private and public sector, and innovative partnerships of science, practice, and policy. By bringing together multiple disciplines, sectors, and stakeholders to jointly produce the knowledge needed to understand and manage a complex system, knowledge coproduction approaches offer an effective avenue for the improved integration of ecosystem services into decision making.

  14. Development of knowledge-based operator support system for steam generator water leak events in FBR plants

    International Nuclear Information System (INIS)

    Arikawa, Hiroshi; Ida, Toshio; Matsumoto, Hiroyuki; Kishida, Masako

    1991-01-01

    A knowledge engineering approach to operation support system would be useful in maintaining safe and steady operation in nuclear plants. This paper describes a knowledge-based operation support system which assists the operators during steam generator water leak events in FBR plants. We have developed a real-time expert system. The expert system adopts hierarchical knowledge representation corresponding to the 'plant abnormality model'. A technique of signal validation which uses knowledge of symptom propagation are applied to diagnosis. In order to verify the knowledge base concerning steam generator water leak events in FBR plants, a simulator is linked to the expert system. It is revealed that diagnosis based on 'plant abnormality model' and signal validation using knowledge of symptom propagation could work successfully. Also, it is suggested that the expert system could be useful in supporting FBR plants operations. (author)

  15. Integrating complex business processes for knowledge-driven clinical decision support systems.

    Science.gov (United States)

    Kamaleswaran, Rishikesan; McGregor, Carolyn

    2012-01-01

    This paper presents in detail the component of the Complex Business Process for Stream Processing framework that is responsible for integrating complex business processes to enable knowledge-driven Clinical Decision Support System (CDSS) recommendations. CDSSs aid the clinician in supporting the care of patients by providing accurate data analysis and evidence-based recommendations. However, the incorporation of a dynamic knowledge-management system that supports the definition and enactment of complex business processes and real-time data streams has not been researched. In this paper we discuss the process web service as an innovative method of providing contextual information to a real-time data stream processing CDSS.

  16. ASPIE: A Framework for Active Sensing and Processing of Complex Events in the Internet of Manufacturing Things

    Directory of Open Access Journals (Sweden)

    Shaobo Li

    2018-03-01

    Full Text Available Rapid perception and processing of critical monitoring events are essential to ensure healthy operation of Internet of Manufacturing Things (IoMT-based manufacturing processes. In this paper, we proposed a framework (active sensing and processing architecture (ASPIE for active sensing and processing of critical events in IoMT-based manufacturing based on the characteristics of IoMT architecture as well as its perception model. A relation model of complex events in manufacturing processes, together with related operators and unified XML-based semantic definitions, are developed to effectively process the complex event big data. A template based processing method for complex events is further introduced to conduct complex event matching using the Apriori frequent item mining algorithm. To evaluate the proposed models and methods, we developed a software platform based on ASPIE for a local chili sauce manufacturing company, which demonstrated the feasibility and effectiveness of the proposed methods for active perception and processing of complex events in IoMT-based manufacturing.

  17. The analysis of a complex fire event using multispaceborne observations

    Directory of Open Access Journals (Sweden)

    Andrei Simona

    2018-01-01

    Full Text Available This study documents a complex fire event that occurred on October 2016, in Middle East belligerent area. Two fire outbreaks were detected by different spacecraft monitoring instruments on board of TERRA, CALIPSO and AURA Earth Observation missions. Link with local weather conditions was examined using ERA Interim Reanalysis and CAMS datasets. The detection of the event by multiple sensors enabled a detailed characterization of fires and the comparison with different observational data.

  18. The analysis of a complex fire event using multispaceborne observations

    Science.gov (United States)

    Andrei, Simona; Carstea, Emil; Marmureanu, Luminita; Ene, Dragos; Binietoglou, Ioannis; Nicolae, Doina; Konsta, Dimitra; Amiridis, Vassilis; Proestakis, Emmanouil

    2018-04-01

    This study documents a complex fire event that occurred on October 2016, in Middle East belligerent area. Two fire outbreaks were detected by different spacecraft monitoring instruments on board of TERRA, CALIPSO and AURA Earth Observation missions. Link with local weather conditions was examined using ERA Interim Reanalysis and CAMS datasets. The detection of the event by multiple sensors enabled a detailed characterization of fires and the comparison with different observational data.

  19. Ontology-based knowledge management for personalized adverse drug events detection.

    Science.gov (United States)

    Cao, Feng; Sun, Xingzhi; Wang, Xiaoyuan; Li, Bo; Li, Jing; Pan, Yue

    2011-01-01

    Since Adverse Drug Event (ADE) has become a leading cause of death around the world, there arises high demand for helping clinicians or patients to identify possible hazards from drug effects. Motivated by this, we present a personalized ADE detection system, with the focus on applying ontology-based knowledge management techniques to enhance ADE detection services. The development of electronic health records makes it possible to automate the personalized ADE detection, i.e., to take patient clinical conditions into account during ADE detection. Specifically, we define the ADE ontology to uniformly manage the ADE knowledge from multiple sources. We take advantage of the rich semantics from the terminology SNOMED-CT and apply it to ADE detection via the semantic query and reasoning.

  20. Is knowing believing? The role of event plausibility and background knowledge in planting false beliefs about the personal past.

    Science.gov (United States)

    Pezdek, Kathy; Blandon-Gitlin, Iris; Lam, Shirley; Hart, Rhiannon Ellis; Schooler, Jonathan W

    2006-12-01

    False memories are more likely to be planted for plausible than for implausible events, but does just knowing about an implausible event make individuals more likely to think that the event happened to them? Two experiments assessed the independent contributions o f plausibility a nd background knowledge to planting false beliefs. In Experiment 1, subjects rated 20 childhood events as to the likelihood of each event having happened to them. The list included the implausible target event "received an enema," a critical target event of Pezdek, Finger, and Hodge (1997). Two weeks later, subjects were presented with (1) information regarding the high prevalence rate of enemas; (2) background information on how to administer an enema; (3) neither type of information; or (4) both. Immediately or 2 weeks later, they rated the 20 childhood events again. Only plausibility significantly increased occurrence ratings. In Experiment 2, the target event was changed from "barium enema administered in a hospital" to "home enema for constipation"; significant effects of both plausibility and background knowledge resulted. The results suggest that providing background knowledge can increase beliefs about personal events, but that its impact is limited by the extent of the individual's familiarity with the context of the suggested target event.

  1. Learning about knowledge: A complex network approach

    International Nuclear Information System (INIS)

    Fontoura Costa, Luciano da

    2006-01-01

    An approach to modeling knowledge acquisition in terms of walks along complex networks is described. Each subset of knowledge is represented as a node, and relations between such knowledge are expressed as edges. Two types of edges are considered, corresponding to free and conditional transitions. The latter case implies that a node can only be reached after visiting previously a set of nodes (the required conditions). The process of knowledge acquisition can then be simulated by considering the number of nodes visited as a single agent moves along the network, starting from its lowest layer. It is shown that hierarchical networks--i.e., networks composed of successive interconnected layers--are related to compositions of the prerequisite relationships between the nodes. In order to avoid deadlocks--i.e., unreachable nodes--the subnetwork in each layer is assumed to be a connected component. Several configurations of such hierarchical knowledge networks are simulated and the performance of the moving agent quantified in terms of the percentage of visited nodes after each movement. The Barabasi-Albert and random models are considered for the layer and interconnecting subnetworks. Although all subnetworks in each realization have the same number of nodes, several interconnectivities, defined by the average node degree of the interconnection networks, have been considered. Two visiting strategies are investigated: random choice among the existing edges and preferential choice to so far untracked edges. A series of interesting results are obtained, including the identification of a series of plateaus of knowledge stagnation in the case of the preferential movement strategy in the presence of conditional edges

  2. Knowledge structures and the acquisition of a complex skill.

    Science.gov (United States)

    Day, E A; Arthur, W; Gettman, D

    2001-10-01

    The purpose of this study was to examine the viability of knowledge structures as an operationalization of learning in the context of a task that required a high degree of skill. Over the course of 3 days, 86 men participated in 9 training sessions and learned a complex video game. At the end of acquisition, participants' knowledge structures were assessed. After a 4-day nonpractice interval, trainees completed tests of skill retention and skill transfer. Findings indicated that the similarity of trainees' knowledge structures to an expert structure was correlated with skill acquisition and was predictive of skill retention and skill transfer. However, the magnitude of these effects was dependent on the method used to derive the expert referent structure. Moreover, knowledge structures mediated the relationship between general cognitive ability and skill-based performance.

  3. Individual differences in current events knowledge: contributions of ability, personality, and interests.

    Science.gov (United States)

    Hambrick, David Z; Meinz, Elizabeth J; Oswald, Frederick L

    2007-03-01

    What accounts for individual differences in the sort of knowledge that people may draw on in everyday cognitive tasks, such as deciding whom to vote for in a presidential election, how to invest money in the stock market, or what team to bet on in a friendly wager? In a large sample of undergraduate students, we investigated correlates of individual differences in recently acquired knowledge of current events in domains such as politics, business, and sports. Structural equation modeling revealed two predictive pathways: one involving cognitive ability factors and the other involving two major nonability factors (personality and interests). The results of this study add to what is known about the sources of individual differences in knowledge and are interpreted in the context of theoretical conceptions of adult intelligence that emphasize the centrality and importance of knowledge (e.g., Ackerman, 1996; Cattell, 1971).

  4. Events and mega events: leisure and business in tourism

    Directory of Open Access Journals (Sweden)

    Ricardo Alexandre Paiva

    2015-12-01

    Full Text Available The promotion of events and mega events mobilizes at the same time, in a concatenated way or not, leisure and business practices, which are captured by the tourism industry as a stimulus for the reproduction of capitalism, by the amount of other activities which raise (primary, secondary and tertiary , placing the architecture and the city as protagonists in contemporary urban development. In this sense, the article analyzes the articulation of events and mega events to the provision of architecture and urban infrastructure, as well as the construction of the tourist image of the places, motivated by leisure and business activities. The methodological procedures have theoretical and exploratory character and have multidisciplinary intentions. This will be discussed, in a historical perspective, the concepts of leisure and business activities that raise as moving or traveling; next it will be delimited similarities and differences between tourism events and business tourism, entering after the analysis of the distinctions between events and mega events, highlighting the complexity and the role of mega-events as a major symptom of globalization; finally it will be presented the spatial scale developments in architecture and the city in the realization of (mega events, as well as its impact on the city's image. As a synthesis, it is important to notice that spatial developments business tourism, events and mega events are manifested in various scales and with different levels of complexity, revealing the strengths and / or weaknesses of the places. The urban planning, architecture and urbanism are important objects of knowledge and spatial intervention to ensure infrastructure and urban and architectural structures appropriate for events, which should be sensitive to the demands of tourists and host communities.

  5. Complex Event Detection via Multi Source Video Attributes (Open Access)

    Science.gov (United States)

    2013-10-03

    Complex Event Detection via Multi-Source Video Attributes Zhigang Ma† Yi Yang‡ Zhongwen Xu‡§ Shuicheng Yan Nicu Sebe† Alexander G. Hauptmann...under its International Research Centre @ Singapore Fund- ing Initiative and administered by the IDM Programme Of- fice, and the Intelligence Advanced

  6. Encouraging Civic Knowledge and Engagement: Exploring Current Events through a Psychological Lens

    Science.gov (United States)

    Van Camp, Debbie; Baugh, Stacey-Ann

    2016-01-01

    Engagement with political, social, and civil issues is a fundamental component of an educated population, but civic knowledge and engagement are decreasing among adolescents and young adults. A Psychology in Current Events class sought to increase this engagement and key skills such as critical thinking. A one-group pretest-posttest…

  7. Performance Measurement of Complex Event Platforms

    Directory of Open Access Journals (Sweden)

    Eva Zámečníková

    2016-12-01

    Full Text Available The aim of this paper is to find and compare existing solutions of complex event processing platforms (CEP. CEP platforms generally serve for processing and/or predicting of high frequency data. We intend to use CEP platform for processing of complex time series and integrate a solution for newly proposed method of decision making. The decision making process will be described by formal grammar. As there are lots of CEP solutions we will take the following characteristics under consideration - the processing in real time, possibility of processing of high volume data from multiple sources, platform independence, platform allowing integration with user solution and open license. At first we will talk about existing CEP tools and their specific way of use in praxis. Then we will mention the design of method for formalization of business rules used for decision making. Afterwards, we focus on two platforms which seem to be the best fit for integration of our solution and we will list the main pros and cons of each approach. Next part is devoted to benchmark platforms for CEP. Final part is devoted to experimental measurements of platform with integrated method for decision support.

  8. [Conceptualization of knowledge management in medium and high complexity health institutions].

    Science.gov (United States)

    Arboleda-Posada, Gladys I

    2016-06-01

    Objective To identify the familiarization, conceptualization and incorporation of employees of medium and high complexity health institutions in the Valle de Aburrá, Colombia into the strategic knowledge management platform in 2011. Methodology Cross sectional study. The study was carried out by applying surveys to 224 employees to assess knowledge management. The population included staff who working in the Health Providing Institutions (IPS) of high (52) and medium complexity (322) in the Valle de Aburrá in 2011. In both the public and private institutions surveyed, 38.8 % of the respondents said they were not familiar with knowledge management. Among those who had administrative training, the ignorance was less than among care workers. It was also noted that as the level of education increased, knowledge of the concept was greater. A high proportion (65.2 % ) of respondents placed the concept in line with the creation, organization, storage, retrieval, transfer and application of knowledge systematically. 78.7 % of respondents from public institutions said that knowledge management was part of the strategic platform of the institution. 58.3 % from private institutions said the same. Conclusions In general terms the concept of knowledge management is not well conceived or familiar to the staff working in these institutions. The study confirmed a lack of empowerment in the field to promote the development of new ideas and to ensure that they become service innovations or processes that contribute to the development of institutional knowledge.

  9. Stressful life events and psychological dysfunction in complex regional pain syndrome type I

    NARCIS (Netherlands)

    Geertzen, JHB; de Bruijn-Kofman, AT; de Bruijn, HP; van de Wiel, HBM; Dijkstra, PU

    Objective: To determine to what extent stressful life events and psychological dysfunction play a role in the pathogenesis of Complex Regional Pain Syndrome type I (CRPS). Design: A comparative study between a CRPS group and a control group. Stressful life events and psychological dysfunction

  10. Managing the Organizational and Cultural Precursors to Major Events — Recognising and Addressing Complexity

    International Nuclear Information System (INIS)

    Taylor, R. H.; Carhart, N.; May, J.; Wijk, L. G. A. van

    2016-01-01

    illustration will be given of the use of Hierarchical Process Modelling (HPM) to develop a vulnerability tool using the question sets. However, to understand the issues involved more fully, requires the development of models and associated tools which recognise the complexity and interactive nature of the organizational and cultural issues involved. Various repeating patterns of system failure appear in most of the events studied. Techniques such as System Dynamics (SD) can be used to ‘map’ these processes and capture the complexity involved. This highlights interdependencies, incubating vulnerabilities and the impact of time lags within systems. Two examples will be given. In almost all of the events studied, there has been a strong disconnect between the knowledge and aspirations of senior management and those planning and carrying out operations. There has, for example, frequently been a failure to ensure that information flows up and down the management chain are effective. It has often led to conflicts between the need to maintain safety standards through exercising a cautious and questioning attitude in the light of uncertainty and the need to meet production and cost targets. Business pressures have led to shortcuts, failure to provide sufficient oversight so that leaders are aware of the true picture of process and nuclear safety at operational level (often leading to organizational ‘drift’), normalisation of risks, and the establishment of a ‘good news culture’. The development of this disconnect and its consequences have been shown to be interdependent, dynamic and complex. A second example is that of gaining a better appreciation of the deeper factors involved in managing the supply chain and, in particular, of the interface with contractors. Initiating projects with unclear accountabilities and to unrealistic timescales, together with a lack of clarity about the cost implications when safety-related concerns are reported and need to be addressed, have

  11. Prediction of Increasing Production Activities using Combination of Query Aggregation on Complex Events Processing and Neural Network

    Directory of Open Access Journals (Sweden)

    Achmad Arwan

    2016-07-01

    Full Text Available AbstrakProduksi, order, penjualan, dan pengiriman adalah serangkaian event yang saling terkait dalam industri manufaktur. Selanjutnya hasil dari event tersebut dicatat dalam event log. Complex Event Processing adalah metode yang digunakan untuk menganalisis apakah terdapat pola kombinasi peristiwa tertentu (peluang/ancaman yang terjadi pada sebuah sistem, sehingga dapat ditangani secara cepat dan tepat. Jaringan saraf tiruan adalah metode yang digunakan untuk mengklasifikasi data peningkatan proses produksi. Hasil pencatatan rangkaian proses yang menyebabkan peningkatan produksi digunakan sebagai data latih untuk mendapatkan fungsi aktivasi dari jaringan saraf tiruan. Penjumlahan hasil catatan event log dimasukkan ke input jaringan saraf tiruan untuk perhitungan nilai aktivasi. Ketika nilai aktivasi lebih dari batas yang ditentukan, maka sistem mengeluarkan sinyal untuk meningkatkan produksi, jika tidak, sistem tetap memantau kejadian. Hasil percobaan menunjukkan bahwa akurasi dari metode ini adalah 77% dari 39 rangkaian aliran event.Kata kunci: complex event processing, event, jaringan saraf tiruan, prediksi peningkatan produksi, proses. AbstractProductions, orders, sales, and shipments are series of interrelated events within manufacturing industry. Further these events were recorded in the event log. Complex event processing is a method that used to analyze whether there are patterns of combinations of certain events (opportunities / threats that occur in a system, so it can be addressed quickly and appropriately. Artificial neural network is a method that we used to classify production increase activities. The series of events that cause the increase of the production used as a dataset to train the weight of neural network which result activation value. An aggregate stream of events inserted into the neural network input to compute the value of activation. When the value is over a certain threshold (the activation value results

  12. Gene-Environment Interaction Effects of Peer Deviance, Parental Knowledge and Stressful Life Events on Adolescent Alcohol Use.

    Science.gov (United States)

    Cooke, Megan E; Meyers, Jacquelyn L; Latvala, Antti; Korhonen, Tellervo; Rose, Richard J; Kaprio, Jaakko; Salvatore, Jessica E; Dick, Danielle M

    2015-10-01

    The purpose of this study was to address two methodological issues that have called into question whether previously reported gene-environment interaction (GxE) effects for adolescent alcohol use are 'real'. These issues are (1) the potential correlation between the environmental moderator and the outcome across twins and (2) non-linear transformations of the behavioral outcome. Three environments that have been previously studied (peer deviance, parental knowledge, and potentially stressful life events) were examined here. For each moderator (peer deviance, parental knowledge, and potentially stressful life events), a series of models was fit to both a raw and transformed measure of monthly adolescent alcohol use in a sample that included 825 dizygotic (DZ) and 803 monozygotic (MZ) twin pairs. The results showed that the moderating effect of peer deviance was robust to transformation, and that although the significance of moderating effects of parental knowledge and potentially stressful life events were dependent on the scale of the adolescent alcohol use outcome, the overall results were consistent across transformation. In addition, the findings did not vary across statistical models. The consistency of the peer deviance results and the shift of the parental knowledge and potentially stressful life events results between trending and significant, shed some light on why previous findings for certain moderators have been inconsistent and emphasize the importance of considering both methodological issues and previous findings when conducting and interpreting GxE analyses.

  13. Failures of knowledge production in nuclear power risk management

    International Nuclear Information System (INIS)

    Sanne, Johan M.

    2008-09-01

    Risks are ascribed in processes of knowledge production, where risk objects are defined and measures taken. This knowledge is also the basis for regulatory action. Thus, uncertainties in knowledge production, based upon choices of assumptions, methods, calculations and evidence criteria for reliable data create vulnerabilities for risk management and risk regulation. A recent incident in Swedish nuclear power plant provides an opportunity to develop theories of knowledge production in complex organizations. Knowledge modes within nuclear power can be characterized as either calculated logics where evidence claims need numbers, real time logics based upon subtle signals and tacit knowledge or as policy logics, navigating between internal and external demands for safety, trustworthiness and profit. The plant had neither foreseen the triggering event nor designed the plant to withstand it. I analyze how the plant and the regulator have interpreted the event, its significance and the measures taken to prevent similar events. I also discuss alternative interpretations, lack of knowledge and the generic deficiencies in knowledge production that the event indicates. First, the plant was not as robustly designed as expected. Deficiencies in diversification may have been caused by overconfidence in the reliability of its design. Second, inadequate design was ascribed to various deficient knowledge production processes: original design of the plant, reconstruction or caused by inadequate learning from previous events. The failures in knowledge production were probably caused by insufficient integration of different knowledge processes and limitations in engineering analysis. Knowledge about risks from nuclear power operations is mainly based upon calculations and simulations, not upon real events. But knowledge and design could be improved also without accidents. Control room operators and maintenance staff can provide invaluable knowledge and methods; to improve causal

  14. Failures of knowledge production in nuclear power risk management

    Energy Technology Data Exchange (ETDEWEB)

    Sanne, Johan M.

    2008-09-15

    Risks are ascribed in processes of knowledge production, where risk objects are defined and measures taken. This knowledge is also the basis for regulatory action. Thus, uncertainties in knowledge production, based upon choices of assumptions, methods, calculations and evidence criteria for reliable data create vulnerabilities for risk management and risk regulation. A recent incident in Swedish nuclear power plant provides an opportunity to develop theories of knowledge production in complex organizations. Knowledge modes within nuclear power can be characterized as either calculated logics where evidence claims need numbers, real time logics based upon subtle signals and tacit knowledge or as policy logics, navigating between internal and external demands for safety, trustworthiness and profit. The plant had neither foreseen the triggering event nor designed the plant to withstand it. I analyze how the plant and the regulator have interpreted the event, its significance and the measures taken to prevent similar events. I also discuss alternative interpretations, lack of knowledge and the generic deficiencies in knowledge production that the event indicates. First, the plant was not as robustly designed as expected. Deficiencies in diversification may have been caused by overconfidence in the reliability of its design. Second, inadequate design was ascribed to various deficient knowledge production processes: original design of the plant, reconstruction or caused by inadequate learning from previous events. The failures in knowledge production were probably caused by insufficient integration of different knowledge processes and limitations in engineering analysis. Knowledge about risks from nuclear power operations is mainly based upon calculations and simulations, not upon real events. But knowledge and design could be improved also without accidents. Control room operators and maintenance staff can provide invaluable knowledge and methods; to improve causal

  15. Compliance with Environmental Regulations through Complex Geo-Event Processing

    Directory of Open Access Journals (Sweden)

    Federico Herrera

    2017-11-01

    Full Text Available In a context of e-government, there are usually regulatory compliance requirements that support systems must monitor, control and enforce. These requirements may come from environmental laws and regulations that aim to protect the natural environment and mitigate the effects of pollution on human health and ecosystems. Monitoring compliance with these requirements involves processing a large volume of data from different sources, which is a major challenge. This volume is also increased with data coming from autonomous sensors (e.g. reporting carbon emission in protected areas and from citizens providing information (e.g. illegal dumping in a voluntary way. Complex Event Processing (CEP technologies allow processing large amount of event data and detecting patterns from them. However, they do not provide native support for the geographic dimension of events which is essential for monitoring requirements which apply to specific geographic areas. This paper proposes a geospatial extension for CEP that allows monitoring environmental requirements considering the geographic location of the processed data. We extend an existing platform-independent, model-driven approach for CEP adding the geographic location to events and specifying patterns using geographic operators. The use and technical feasibility of the proposal is shown through the development of a case study and the implementation of a prototype.

  16. Knowledge engineering for adverse drug event prevention: on the design and development of a uniform, contextualized and sustainable knowledge-based framework.

    Science.gov (United States)

    Koutkias, Vassilis; Kilintzis, Vassilis; Stalidis, George; Lazou, Katerina; Niès, Julie; Durand-Texte, Ludovic; McNair, Peter; Beuscart, Régis; Maglaveras, Nicos

    2012-06-01

    The primary aim of this work was the development of a uniform, contextualized and sustainable knowledge-based framework to support adverse drug event (ADE) prevention via Clinical Decision Support Systems (CDSSs). In this regard, the employed methodology involved first the systematic analysis and formalization of the knowledge sources elaborated in the scope of this work, through which an application-specific knowledge model has been defined. The entire framework architecture has been then specified and implemented by adopting Computer Interpretable Guidelines (CIGs) as the knowledge engineering formalism for its construction. The framework integrates diverse and dynamic knowledge sources in the form of rule-based ADE signals, all under a uniform Knowledge Base (KB) structure, according to the defined knowledge model. Equally important, it employs the means to contextualize the encapsulated knowledge, in order to provide appropriate support considering the specific local environment (hospital, medical department, language, etc.), as well as the mechanisms for knowledge querying, inference, sharing, and management. In this paper, we present thoroughly the establishment of the proposed knowledge framework by presenting the employed methodology and the results obtained as regards implementation, performance and validation aspects that highlight its applicability and virtue in medication safety. Copyright © 2012 Elsevier Inc. All rights reserved.

  17. Intelligent Transportation Control based on Proactive Complex Event Processing

    OpenAIRE

    Wang Yongheng; Geng Shaofeng; Li Qian

    2016-01-01

    Complex Event Processing (CEP) has become the key part of Internet of Things (IoT). Proactive CEP can predict future system states and execute some actions to avoid unwanted states which brings new hope to intelligent transportation control. In this paper, we propose a proactive CEP architecture and method for intelligent transportation control. Based on basic CEP technology and predictive analytic technology, a networked distributed Markov decision processes model with predicting states is p...

  18. Knowledge base about earthquakes as a tool to minimize strong events consequences

    Science.gov (United States)

    Frolova, Nina; Bonnin, Jean; Larionov, Valery; Ugarov, Alexander; Kijko, Andrzej

    2017-04-01

    The paper describes the structure and content of the knowledge base on physical and socio-economical consequences of damaging earthquakes, which may be used for calibration of near real-time loss assessment systems based on simulation models for shaking intensity, damage to buildings and casualties estimates. Such calibration allows to compensate some factors which influence on reliability of expected damage and loss assessment in "emergency" mode. The knowledge base contains the description of past earthquakes' consequences for the area under study. It also includes the current distribution of built environment and population at the time of event occurrence. Computer simulation of the recorded in knowledge base events allow to determine the sets of regional calibration coefficients, including rating of seismological surveys, peculiarities of shaking intensity attenuation and changes in building stock and population distribution, in order to provide minimum error of damaging earthquakes loss estimations in "emergency" mode. References 1. Larionov, V., Frolova, N: Peculiarities of seismic vulnerability estimations. In: Natural Hazards in Russia, volume 6: Natural Risks Assessment and Management, Publishing House "Kruk", Moscow, 120-131, 2003. 2. Frolova, N., Larionov, V., Bonnin, J.: Data Bases Used In Worlwide Systems For Earthquake Loss Estimation In Emergency Mode: Wenchuan Earthquake. In Proc. TIEMS2010 Conference, Beijing, China, 2010. 3. Frolova N. I., Larionov V. I., Bonnin J., Sushchev S. P., Ugarov A. N., Kozlov M. A. Loss Caused by Earthquakes: Rapid Estimates. Natural Hazards Journal of the International Society for the Prevention and Mitigation of Natural Hazards, vol.84, ISSN 0921-030, Nat Hazards DOI 10.1007/s11069-016-2653

  19. Study on Knowledge Propagation in Complex Networks Based on Preferences, Taking Wechat as Example

    OpenAIRE

    Chen, Si-hua; He, Wei

    2014-01-01

    As platform based on users’ relationship to acquire, share, and propagate knowledge, Wechat develops very rapidly and becomes an important channel to spread knowledge. This new way to propagate knowledge is quite different from the traditional media way which enables knowledge to be spread surprisingly in Wechat. Based on complex network theory and the analysis of the factors which influence the knowledge propagation in Wechat, this paper summarizes the behavior preferences of Wechat users in...

  20. Temporal Convergence for Knowledge Management

    Directory of Open Access Journals (Sweden)

    Christopher Phillip Martin

    2008-05-01

    Full Text Available Time and knowledge have tended to be conceptualised in conventional knowledge management systems as either ‘timeless’ recordings of procedures, or time-stamped records of past events and states. The concept of temporal convergence was previously developed to help apply knowledge-management theory to complex military processes such as commander’s intent, shared situation awareness, and self-synchronisation. This paper clarifies the concept and introduces several others in forming a framework to assist discussion and exploration of the types of knowledge required for complex endeavours, such as warfighting, characterised by opposition and uncertainty. The approach is grounded in a pragmatist philosophy and constructivist epistemology. Argument proceeds along mathematical lines from a basis that the types of knowledge most valuable to goal-directed agents in uncertain environments can be modelled as directed graph topologies. The framework is shown to be useful in describing and reasoning about the knowledge requirements and prerequisites for distributed decision-making through the sharing of situational knowledge and common intentions, with practical application to the planning and execution of operations. To the designers of knowledge management systems seeking to address this space, it presents a challenge that cannot be addressed merely by construction, storage, search and retrieval of documents and records pertaining to the past.

  1. Knowledge-based inspection:modelling complex processes with the integrated Safeguards Modelling Method (iSMM)

    International Nuclear Information System (INIS)

    Abazi, F.

    2011-01-01

    Increased level of complexity in almost every discipline and operation today raises the demand for knowledge in order to successfully run an organization whether to generate profit or to attain a non-profit mission. Traditional way of transferring knowledge to information systems rich in data structures and complex algorithms continue to hinder the ability to swiftly turnover concepts into operations. Diagrammatic modelling commonly applied in engineering in order to represent concepts or reality remains to be an excellent way of converging knowledge from domain experts. The nuclear verification domain represents ever more a matter which has great importance to the World safety and security. Demand for knowledge about nuclear processes and verification activities used to offset potential misuse of nuclear technology will intensify with the growth of the subject technology. This Doctoral thesis contributes with a model-based approach for representing complex process such as nuclear inspections. The work presented contributes to other domains characterized with knowledge intensive and complex processes. Based on characteristics of a complex process a conceptual framework was established as the theoretical basis for creating a number of modelling languages to represent the domain. The integrated Safeguards Modelling Method (iSMM) is formalized through an integrated meta-model. The diagrammatic modelling languages represent the verification domain and relevant nuclear verification aspects. Such a meta-model conceptualizes the relation between practices of process management, knowledge management and domain specific verification principles. This fusion is considered as necessary in order to create quality processes. The study also extends the formalization achieved through a meta-model by contributing with a formalization language based on Pattern Theory. Through the use of graphical and mathematical constructs of the theory, process structures are formalized enhancing

  2. Knowledge Transfer on Complex Social Interventions in Public Health: A Scoping Study

    Science.gov (United States)

    Dagenais, Christian; Malo, Marie; Robert, Émilie; Ouimet, Mathieu; Berthelette, Diane; Ridde, Valéry

    2013-01-01

    Objectives Scientific knowledge can help develop interventions that improve public health. The objectives of this review are (1) to describe the status of research on knowledge transfer strategies in the field of complex social interventions in public health and (2) to identify priorities for future research in this field. Method A scoping study is an exploratory study. After searching databases of bibliographic references and specialized periodicals, we summarized the relevant studies using a predetermined assessment framework. In-depth analysis focused on the following items: types of knowledge transfer strategies, fields of public health, types of publics, types of utilization, and types of research specifications. Results From the 1,374 references identified, we selected 26 studies. The strategies targeted mostly administrators of organizations and practitioners. The articles generally dealt with instrumental utilization and most often used qualitative methods. In general, the bias risk for the studies is high. Conclusion Researchers need to consider the methodological challenges in this field of research in order to improve assessment of more complex knowledge transfer strategies (when they exist), not just diffusion/dissemination strategies and conceptual and persuasive utilization. PMID:24324593

  3. Event-triggered synchronization for reaction-diffusion complex networks via random sampling

    Science.gov (United States)

    Dong, Tao; Wang, Aijuan; Zhu, Huiyun; Liao, Xiaofeng

    2018-04-01

    In this paper, the synchronization problem of the reaction-diffusion complex networks (RDCNs) with Dirichlet boundary conditions is considered, where the data is sampled randomly. An event-triggered controller based on the sampled data is proposed, which can reduce the number of controller and the communication load. Under this strategy, the synchronization problem of the diffusion complex network is equivalently converted to the stability of a of reaction-diffusion complex dynamical systems with time delay. By using the matrix inequality technique and Lyapunov method, the synchronization conditions of the RDCNs are derived, which are dependent on the diffusion term. Moreover, it is found the proposed control strategy can get rid of the Zeno behavior naturally. Finally, a numerical example is given to verify the obtained results.

  4. Complex active regions as the main source of extreme and large solar proton events

    Science.gov (United States)

    Ishkov, V. N.

    2013-12-01

    A study of solar proton sources indicated that solar flare events responsible for ≥2000 pfu proton fluxes mostly occur in complex active regions (CARs), i.e., in transition structures between active regions and activity complexes. Different classes of similar structures and their relation to solar proton events (SPEs) and evolution, depending on the origination conditions, are considered. Arguments in favor of the fact that sunspot groups with extreme dimensions are CARs are presented. An analysis of the flare activity in a CAR resulted in the detection of "physical" boundaries, which separate magnetic structures of the same polarity and are responsible for the independent development of each structure.

  5. Knowledge diffusion in complex networks by considering time-varying information channels

    Science.gov (United States)

    Zhu, He; Ma, Jing

    2018-03-01

    In this article, based on a model of epidemic spreading, we explore the knowledge diffusion process with an innovative mechanism for complex networks by considering time-varying information channels. To cover the knowledge diffusion process in homogeneous and heterogeneous networks, two types of networks (the BA network and the ER network) are investigated. The mean-field theory is used to theoretically draw the knowledge diffusion threshold. Numerical simulation demonstrates that the knowledge diffusion threshold is almost linearly correlated with the mean of the activity rate. In addition, under the influence of the activity rate and distinct from the classic Susceptible-Infected-Susceptible (SIS) model, the density of knowers almost linearly grows with the spreading rate. Finally, in consideration of the ubiquitous mechanism of innovation, we further study the evolution of knowledge in our proposed model. The results suggest that compared with the effect of the spreading rate, the average knowledge version of the population is affected more by the innovation parameter and the mean of the activity rate. Furthermore, in the BA network, the average knowledge version of individuals with higher degree is always newer than those with lower degree.

  6. The Value of Sustainable Knowledge Transfer Methods for SMEs, Utilizing Socio-Technical Networks and Complex Systems

    Directory of Open Access Journals (Sweden)

    Susu Nousala

    2010-12-01

    Full Text Available This paper will examine the development of sustainable SME methods for tracking tacit (informal knowledge transfer as a series of networks of larger complex system. Understanding sustainable systems begins with valuing tacit knowledge networks and their ability to produce connections on multiple levels. The behaviour of the social or socio aspects of a system in relation to the explicit formal/physical structures need to be understood and actively considered when utilizing methodologies for interacting within complex systems structures. This paper utilizes theory from several previous studies to underpin the key case study discussed. This approach involved examining the behavioural phenomena of an SME knowledge network. The knowledge network elements were highlighted to identify their value within an SME structure. To understand the value of these emergent elements from between tacit and explicit knowledge networks, is to actively, simultaneously and continuous support sustainable development for SME organizations. The simultaneous links within and between groups of organizations is crucial for understanding sustainable networking structures of complex systems.

  7. Event segmentation ability uniquely predicts event memory.

    Science.gov (United States)

    Sargent, Jesse Q; Zacks, Jeffrey M; Hambrick, David Z; Zacks, Rose T; Kurby, Christopher A; Bailey, Heather R; Eisenberg, Michelle L; Beck, Taylor M

    2013-11-01

    Memory for everyday events plays a central role in tasks of daily living, autobiographical memory, and planning. Event memory depends in part on segmenting ongoing activity into meaningful units. This study examined the relationship between event segmentation and memory in a lifespan sample to answer the following question: Is the ability to segment activity into meaningful events a unique predictor of subsequent memory, or is the relationship between event perception and memory accounted for by general cognitive abilities? Two hundred and eight adults ranging from 20 to 79years old segmented movies of everyday events and attempted to remember the events afterwards. They also completed psychometric ability tests and tests measuring script knowledge for everyday events. Event segmentation and script knowledge both explained unique variance in event memory above and beyond the psychometric measures, and did so as strongly in older as in younger adults. These results suggest that event segmentation is a basic cognitive mechanism, important for memory across the lifespan. Copyright © 2013 Elsevier B.V. All rights reserved.

  8. A Proactive Complex Event Processing Method for Large-Scale Transportation Internet of Things

    OpenAIRE

    Wang, Yongheng; Cao, Kening

    2014-01-01

    The Internet of Things (IoT) provides a new way to improve the transportation system. The key issue is how to process the numerous events generated by IoT. In this paper, a proactive complex event processing method is proposed for large-scale transportation IoT. Based on a multilayered adaptive dynamic Bayesian model, a Bayesian network structure learning algorithm using search-and-score is proposed to support accurate predictive analytics. A parallel Markov decision processes model is design...

  9. StudTest – A Platform Supporting Complex and Interactive Knowledge Assessment

    Directory of Open Access Journals (Sweden)

    Vlado Glavinić

    2008-12-01

    Full Text Available This paper describes the model and prototype implementation of a knowledge assessment framework based on problem management components. In order to support student testing with complex problem types and enable usage of rich graphical user interfaces for solution entry, we have developed an e-examination model in which the core concept is a component that can generate complex questions and evaluate students' solutions with additional explanation generation, which we named prlet. The respective system implementation is described, which can operate under heavy loads.

  10. Study on Knowledge Propagation in Complex Networks Based on Preferences, Taking Wechat as Example

    Directory of Open Access Journals (Sweden)

    Si-hua Chen

    2014-01-01

    Full Text Available As platform based on users’ relationship to acquire, share, and propagate knowledge, Wechat develops very rapidly and becomes an important channel to spread knowledge. This new way to propagate knowledge is quite different from the traditional media way which enables knowledge to be spread surprisingly in Wechat. Based on complex network theory and the analysis of the factors which influence the knowledge propagation in Wechat, this paper summarizes the behavior preferences of Wechat users in knowledge propagation and establishes a Wechat knowledge propagation model. By the simulation experiment, this paper tests the model established and finds some important thresholds in knowledge propagation in Wechat. The findings are valuable for further studying the knowledge propagation in Wechat and provide theoretical proof for forecasting the scale and influence of knowledge propagation.

  11. Data-assisted reduced-order modeling of extreme events in complex dynamical systems.

    Science.gov (United States)

    Wan, Zhong Yi; Vlachas, Pantelis; Koumoutsakos, Petros; Sapsis, Themistoklis

    2018-01-01

    The prediction of extreme events, from avalanches and droughts to tsunamis and epidemics, depends on the formulation and analysis of relevant, complex dynamical systems. Such dynamical systems are characterized by high intrinsic dimensionality with extreme events having the form of rare transitions that are several standard deviations away from the mean. Such systems are not amenable to classical order-reduction methods through projection of the governing equations due to the large intrinsic dimensionality of the underlying attractor as well as the complexity of the transient events. Alternatively, data-driven techniques aim to quantify the dynamics of specific, critical modes by utilizing data-streams and by expanding the dimensionality of the reduced-order model using delayed coordinates. In turn, these methods have major limitations in regions of the phase space with sparse data, which is the case for extreme events. In this work, we develop a novel hybrid framework that complements an imperfect reduced order model, with data-streams that are integrated though a recurrent neural network (RNN) architecture. The reduced order model has the form of projected equations into a low-dimensional subspace that still contains important dynamical information about the system and it is expanded by a long short-term memory (LSTM) regularization. The LSTM-RNN is trained by analyzing the mismatch between the imperfect model and the data-streams, projected to the reduced-order space. The data-driven model assists the imperfect model in regions where data is available, while for locations where data is sparse the imperfect model still provides a baseline for the prediction of the system state. We assess the developed framework on two challenging prototype systems exhibiting extreme events. We show that the blended approach has improved performance compared with methods that use either data streams or the imperfect model alone. Notably the improvement is more significant in

  12. Data-assisted reduced-order modeling of extreme events in complex dynamical systems.

    Directory of Open Access Journals (Sweden)

    Zhong Yi Wan

    Full Text Available The prediction of extreme events, from avalanches and droughts to tsunamis and epidemics, depends on the formulation and analysis of relevant, complex dynamical systems. Such dynamical systems are characterized by high intrinsic dimensionality with extreme events having the form of rare transitions that are several standard deviations away from the mean. Such systems are not amenable to classical order-reduction methods through projection of the governing equations due to the large intrinsic dimensionality of the underlying attractor as well as the complexity of the transient events. Alternatively, data-driven techniques aim to quantify the dynamics of specific, critical modes by utilizing data-streams and by expanding the dimensionality of the reduced-order model using delayed coordinates. In turn, these methods have major limitations in regions of the phase space with sparse data, which is the case for extreme events. In this work, we develop a novel hybrid framework that complements an imperfect reduced order model, with data-streams that are integrated though a recurrent neural network (RNN architecture. The reduced order model has the form of projected equations into a low-dimensional subspace that still contains important dynamical information about the system and it is expanded by a long short-term memory (LSTM regularization. The LSTM-RNN is trained by analyzing the mismatch between the imperfect model and the data-streams, projected to the reduced-order space. The data-driven model assists the imperfect model in regions where data is available, while for locations where data is sparse the imperfect model still provides a baseline for the prediction of the system state. We assess the developed framework on two challenging prototype systems exhibiting extreme events. We show that the blended approach has improved performance compared with methods that use either data streams or the imperfect model alone. Notably the improvement is more

  13. Knowledge of practice: A multi-sited event ethnography of border security fairs in Europe and North America.

    Science.gov (United States)

    Baird, Theodore

    2017-06-01

    This article takes the reader inside four border security fairs in Europe and North America to examine the knowledge practices of border security professionals. Building on the border security as practice research agenda, the analysis focuses on the production, circulation, and consumption of scarce forms of knowledge. To explore situated knowledge of border security practices, I develop an approach to multi-sited event ethnography to observe and interpret knowledge that may be hard to access at the security fairs. The analysis focuses on mechanisms for disseminating and distributing scarce forms of knowledge, technological materializations of situated knowledge, expressions of transversal knowledge of security problems, how masculinities structure knowledge in gendered ways, and how unease is expressed through imagined futures in order to anticipate emergent solutions to proposed security problems. The article concludes by reflecting on the contradictions at play at fairs and how to address such contradictions through alternative knowledges and practices.

  14. Administration, Administration of the knowledge and methodological work in the Complex Educational Disciplines

    OpenAIRE

    Tania Alina Mena-Silva; Ernesto López-Calichs

    2014-01-01

    Today the educational disciplines have evolved to a superior and more complex stadium that has been materialized in that converge in a discipline and relate diverse study modalities, professors' type and teaching matters, that makes more complex the work of the professor when having to prepare metodológicamente the subject in more than an occasion, it is materialized this way the Complex Educational Discipline. The administration and the administration of the knowledge are constituted in esse...

  15. Four Essays on Family Life Events

    DEFF Research Database (Denmark)

    Loft, Lisbeth Trille Gylling

    of the present thesis is the way in which individual, social, and institutional contexts shape family life events. The main objective of the present thesis is twofold: to highlight the importance of how family life events are theoretically understood and methodologically approached, and to examine why social...... differentiation in family life events persists across institutional settings and over time. Specifically, from a life course perspective and by means of dynamic quantitative methods, three central themes are investigated: a) the importance of children’s characteristics, b) the need to link family contexts......As demographic and social trends continue to change the institution of the family, a need to reconsider the study family life events as they unfold over the life course has emerged. To advance current knowledge of social dynamics associated with this new complexity, the point of departure...

  16. Assessment of long-term knowledge retention following single-day simulation training for uncommon but critical obstetrical events

    Science.gov (United States)

    Vadnais, Mary A.; Dodge, Laura E.; Awtrey, Christopher S.; Ricciotti, Hope A.; Golen, Toni H.; Hacker, Michele R.

    2013-01-01

    Objective The objectives were to determine (i) whether simulation training results in short-term and long-term improvement in the management of uncommon but critical obstetrical events and (ii) to determine whether there was additional benefit from annual exposure to the workshop. Methods Physicians completed a pretest to measure knowledge and confidence in the management of eclampsia, shoulder dystocia, postpartum hemorrhage and vacuum-assisted vaginal delivery. They then attended a simulation workshop and immediately completed a posttest. Residents completed the same posttests 4 and 12 months later, and attending physicians completed the posttest at 12 months. Physicians participated in the same simulation workshop 1 year later and then completed a final posttest. Scores were compared using paired t-tests. Results Physicians demonstrated improved knowledge and comfort immediately after simulation. Residents maintained this improvement at 1 year. Attending physicians remained more comfortable managing these scenarios up to 1 year later; however, knowledge retention diminished with time. Repeating the simulation after 1 year brought additional improvement to physicians. Conclusion Simulation training can result in short-term and contribute to long-term improvement in objective measures of knowledge and comfort level in managing uncommon but critical obstetrical events. Repeat exposure to simulation training after 1 year can yield additional benefits. PMID:22191668

  17. Conceptual and procedural knowledge community college students use when solving a complex science problem

    Science.gov (United States)

    Steen-Eibensteiner, Janice Lee

    2006-07-01

    A strong science knowledge base and problem solving skills have always been highly valued for employment in the science industry. Skills currently needed for employment include being able to problem solve (Overtoom, 2000). Academia also recognizes the need for effectively teaching students to apply problem solving skills in clinical settings. This thesis investigates how students solve complex science problems in an academic setting in order to inform the development of problem solving skills for the workplace. Students' use of problem solving skills in the form of learned concepts and procedural knowledge was studied as students completed a problem that might come up in real life. Students were taking a community college sophomore biology course, Human Anatomy & Physiology II. The problem topic was negative feedback inhibition of the thyroid and parathyroid glands. The research questions answered were (1) How well do community college students use a complex of conceptual knowledge when solving a complex science problem? (2) What conceptual knowledge are community college students using correctly, incorrectly, or not using when solving a complex science problem? (3) What problem solving procedural knowledge are community college students using successfully, unsuccessfully, or not using when solving a complex science problem? From the whole class the high academic level participants performed at a mean of 72% correct on chapter test questions which was a low average to fair grade of C-. The middle and low academic participants both failed (F) the test questions (37% and 30% respectively); 29% (9/31) of the students show only a fair performance while 71% (22/31) fail. From the subset sample population of 2 students each from the high, middle, and low academic levels selected from the whole class 35% (8/23) of the concepts were used effectively, 22% (5/23) marginally, and 43% (10/23) poorly. Only 1 concept was used incorrectly by 3/6 of the students and identified as

  18. Gait Event Detection in Real-World Environment for Long-Term Applications: Incorporating Domain Knowledge Into Time-Frequency Analysis.

    Science.gov (United States)

    Khandelwal, Siddhartha; Wickstrom, Nicholas

    2016-12-01

    Detecting gait events is the key to many gait analysis applications that would benefit from continuous monitoring or long-term analysis. Most gait event detection algorithms using wearable sensors that offer a potential for use in daily living have been developed from data collected in controlled indoor experiments. However, for real-word applications, it is essential that the analysis is carried out in humans' natural environment; that involves different gait speeds, changing walking terrains, varying surface inclinations and regular turns among other factors. Existing domain knowledge in the form of principles or underlying fundamental gait relationships can be utilized to drive and support the data analysis in order to develop robust algorithms that can tackle real-world challenges in gait analysis. This paper presents a novel approach that exhibits how domain knowledge about human gait can be incorporated into time-frequency analysis to detect gait events from long-term accelerometer signals. The accuracy and robustness of the proposed algorithm are validated by experiments done in indoor and outdoor environments with approximately 93 600 gait events in total. The proposed algorithm exhibits consistently high performance scores across all datasets in both, indoor and outdoor environments.

  19. School-Age Children Talk about Chess: Does Knowledge Drive Syntactic Complexity?

    Science.gov (United States)

    Nippold, Marilyn A.

    2009-01-01

    Purpose: This study examined language productivity and syntactic complexity in school-age children in relation to their knowledge of the topic of discussion--the game of chess. Method: Children (N = 32; mean age = 10;11 [years;months]) who played chess volunteered to be interviewed by an adult examiner who had little or no experience playing…

  20. Characterisation of sub-micron particle number concentrations and formation events in the western Bushveld Igneous Complex, South Africa

    Directory of Open Access Journals (Sweden)

    A. Hirsikko

    2012-05-01

    Full Text Available South Africa holds significant mineral resources, with a substantial fraction of these reserves occurring and being processed in a large geological structure termed the Bushveld Igneous Complex (BIC. The area is also highly populated by informal, semi-formal and formal residential developments. However, knowledge of air quality and research related to the atmosphere is still very limited in the area. In order to investigate the characteristics and processes affecting sub-micron particle number concentrations and formation events, air ion and aerosol particle size distributions and number concentrations, together with meteorological parameters, trace gases and particulate matter (PM were measured for over two years at Marikana in the heart of the western BIC. The observations showed that trace gas (i.e. SO2, NOx, CO and black carbon concentrations were relatively high, but in general within the limits of local air quality standards. The area was characterised by very high condensation sink due to background aerosol particles, PM10 and O3 concentration. The results indicated that high amounts of Aitken and accumulation mode particles originated from domestic burning for heating and cooking in the morning and evening, while during daytime SO2-based nucleation followed by the growth by condensation of vapours from industrial, residential and natural sources was the most probable source for large number concentrations of nucleation and Aitken mode particles. Nucleation event day frequency was extremely high, i.e. 86% of the analysed days, which to the knowledge of the authors is the highest frequency ever reported. The air mass back trajectory and wind direction analyses showed that the secondary particle formation was influenced both by local and regional pollution and vapour sources. Therefore, our observation of the annual cycle and magnitude of the particle formation and growth rates during

  1. Intelligent Transportation Control based on Proactive Complex Event Processing

    Directory of Open Access Journals (Sweden)

    Wang Yongheng

    2016-01-01

    Full Text Available Complex Event Processing (CEP has become the key part of Internet of Things (IoT. Proactive CEP can predict future system states and execute some actions to avoid unwanted states which brings new hope to intelligent transportation control. In this paper, we propose a proactive CEP architecture and method for intelligent transportation control. Based on basic CEP technology and predictive analytic technology, a networked distributed Markov decision processes model with predicting states is proposed as sequential decision model. A Q-learning method is proposed for this model. The experimental evaluations show that this method works well when used to control congestion in in intelligent transportation systems.

  2. Hydrogeological hazards and weather events: Triggering and evolution of shallow landslides

    Directory of Open Access Journals (Sweden)

    Salvatore Monteleone

    2014-06-01

    The complex nature of these instability events that affect anthropized areas does not allow specific approaches for the defence of single good, but it finds a more effective solution based on the extensive knowledge of territory, perhaps at the scale of individual or several watersheds.

  3. Institutional Analysis of Knowledge Generation Resource Potential at the Enterprises of Regional Military-Industrial Complex

    Directory of Open Access Journals (Sweden)

    Evgeny Vasilyevich Popov

    2016-09-01

    Full Text Available The article is devoted to the processes of knowledge generation at the enterprises of military-industrial complex, which are the leaders of the regional innovative activity. The target of the research is to develop the methodology based on the use of resource application potential for increasing the efficiency of knowledge generation at the instrument-making enterprises of military-industrial complex. The system analysis of the knowledge generation processes is conducted at one of them. It allows to draw a conclusion that such enterprises have a lack of the institutes of knowledge generation processes. The authors are offered a technique of the development of the knowledge generation system at the military-industrial enterprises based on the accounting of assets and opportunities of the enterprise in the realization of intellectual activity. The developed technique is based on the determination of the horizontal resource potential of knowledge generation and allows to determine the potential of resource application at each stage of product life cycle. The comparison of the actual and theoretical values of horizontal resource potential allows to correct the distribution of a share of each of resources within a stage, and therefore, to optimize the realization of tasks at a specific stage. The offered tools were implemented in 2015 at one of the regional military-Industrial enterprises. The methodological tools of the research include the methods of expert assessment, mathematical statistics and the institutional analysis. On the basis of the offered technique and received empirical results, the institutional spiral of knowledge generation during the filling of state order at the military-industrial enterprise is developed. Its implementation will promote the decrease in the level of uncertainty during the whole life cycle of innovative activity product. The developed institutional spiral of knowledge generation at instrument-making military

  4. Complex analyses on clinical information systems using restricted natural language querying to resolve time-event dependencies.

    Science.gov (United States)

    Safari, Leila; Patrick, Jon D

    2018-06-01

    This paper reports on a generic framework to provide clinicians with the ability to conduct complex analyses on elaborate research topics using cascaded queries to resolve internal time-event dependencies in the research questions, as an extension to the proposed Clinical Data Analytics Language (CliniDAL). A cascaded query model is proposed to resolve internal time-event dependencies in the queries which can have up to five levels of criteria starting with a query to define subjects to be admitted into a study, followed by a query to define the time span of the experiment. Three more cascaded queries can be required to define control groups, control variables and output variables which all together simulate a real scientific experiment. According to the complexity of the research questions, the cascaded query model has the flexibility of merging some lower level queries for simple research questions or adding a nested query to each level to compose more complex queries. Three different scenarios (one of them contains two studies) are described and used for evaluation of the proposed solution. CliniDAL's complex analyses solution enables answering complex queries with time-event dependencies at most in a few hours which manually would take many days. An evaluation of results of the research studies based on the comparison between CliniDAL and SQL solutions reveals high usability and efficiency of CliniDAL's solution. Copyright © 2018 Elsevier Inc. All rights reserved.

  5. Receptive Vocabulary Knowledge in Low-Functioning Autism as Assessed by Eye Movements, Pupillary Dilation, and Event-Related Potentials

    Science.gov (United States)

    2013-06-01

    screening questionnaire for Asperger Syndrome and other high-functioning autism spectrum disorders in school age children. Journal of Autism ...Award Number: W81XWH-10-1-0404 TITLE: Receptive Vocabulary Knowledge in Low-Functioning Autism as Assessed by Eye Movements, Pupillary...Knowledge in Low-Functioning Autism as Assessed by Eye- Movements, Pupillary Dilation, and Event-Related Potentials 5b. GRANT NUMBER W81XWH-10-1-0404

  6. Predicting Mycobacterium tuberculosis Complex Clades Using Knowledge-Based Bayesian Networks

    Directory of Open Access Journals (Sweden)

    Minoo Aminian

    2014-01-01

    Full Text Available We develop a novel approach for incorporating expert rules into Bayesian networks for classification of Mycobacterium tuberculosis complex (MTBC clades. The proposed knowledge-based Bayesian network (KBBN treats sets of expert rules as prior distributions on the classes. Unlike prior knowledge-based support vector machine approaches which require rules expressed as polyhedral sets, KBBN directly incorporates the rules without any modification. KBBN uses data to refine rule-based classifiers when the rule set is incomplete or ambiguous. We develop a predictive KBBN model for 69 MTBC clades found in the SITVIT international collection. We validate the approach using two testbeds that model knowledge of the MTBC obtained from two different experts and large DNA fingerprint databases to predict MTBC genetic clades and sublineages. These models represent strains of MTBC using high-throughput biomarkers called spacer oligonucleotide types (spoligotypes, since these are routinely gathered from MTBC isolates of tuberculosis (TB patients. Results show that incorporating rules into problems can drastically increase classification accuracy if data alone are insufficient. The SITVIT KBBN is publicly available for use on the World Wide Web.

  7. Towards Hybrid Online On-Demand Querying of Realtime Data with Stateful Complex Event Processing

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K.

    2013-10-09

    Emerging Big Data applications in areas like e-commerce and energy industry require both online and on-demand queries to be performed over vast and fast data arriving as streams. These present novel challenges to Big Data management systems. Complex Event Processing (CEP) is recognized as a high performance online query scheme which in particular deals with the velocity aspect of the 3-V’s of Big Data. However, traditional CEP systems do not consider data variety and lack the capability to embed ad hoc queries over the volume of data streams. In this paper, we propose H2O, a stateful complex event processing framework, to support hybrid online and on-demand queries over realtime data. We propose a semantically enriched event and query model to address data variety. A formal query algebra is developed to precisely capture the stateful and containment semantics of online and on-demand queries. We describe techniques to achieve the interactive query processing over realtime data featured by efficient online querying, dynamic stream data persistence and on-demand access. The system architecture is presented and the current implementation status reported.

  8. Building a knowledge base of severe adverse drug events based on AERS reporting data using semantic web technologies.

    Science.gov (United States)

    Jiang, Guoqian; Wang, Liwei; Liu, Hongfang; Solbrig, Harold R; Chute, Christopher G

    2013-01-01

    A semantically coded knowledge base of adverse drug events (ADEs) with severity information is critical for clinical decision support systems and translational research applications. However it remains challenging to measure and identify the severity information of ADEs. The objective of the study is to develop and evaluate a semantic web based approach for building a knowledge base of severe ADEs based on the FDA Adverse Event Reporting System (AERS) reporting data. We utilized a normalized AERS reporting dataset and extracted putative drug-ADE pairs and their associated outcome codes in the domain of cardiac disorders. We validated the drug-ADE associations using ADE datasets from SIDe Effect Resource (SIDER) and the UMLS. We leveraged the Common Terminology Criteria for Adverse Event (CTCAE) grading system and classified the ADEs into the CTCAE in the Web Ontology Language (OWL). We identified and validated 2,444 unique Drug-ADE pairs in the domain of cardiac disorders, of which 760 pairs are in Grade 5, 775 pairs in Grade 4 and 2,196 pairs in Grade 3.

  9. Sun protection behavior and knowledge of patients attending laser clinic to prevent adverse events of laser: A Cross-sectional, Single Center, Tertiary Care Study.

    Science.gov (United States)

    Tempark, Therdpong; Lueangarun, Suparuj; Chatproedprai, Susheera; Panchaprateep, Ratchathorn; Pongprutthipan, Marisa; Wananukul, Siriwan

    2018-06-08

    Limited data of sun protection knowledge in laser treatment patients exists therefore, preventative information should be provided by dermatologists to minimize harmful effects. To assess sun protection knowledge-behavior and knowledge to prevent adverse events from laser therapy among patients who visited a laser clinic at a tertiary university hospital in Bangkok, Thailand. This is a self-reported questionnaire, cross-sectional survey. All participants from the Laser Clinic in KCMH were recruited into the study. A Total of 385 patients were enrolled into the study; 80.5% female participants. Patients who never received laser treatment significantly lacked proper sun protection knowledge to prevent adverse events of lasers when compared to those who previous received laser treatments regarding the application of sunscreen after laser treatment (56.6% vs 17.4%, p protection in the post laser area (41.9% vs 20.4%, p knowledge of sun protection to prevent adverse events were significantly different among the group of educational levels and previous history of laser treatment. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

  10. Error Analysis of Satellite Precipitation-Driven Modeling of Flood Events in Complex Alpine Terrain

    Directory of Open Access Journals (Sweden)

    Yiwen Mei

    2016-03-01

    Full Text Available The error in satellite precipitation-driven complex terrain flood simulations is characterized in this study for eight different global satellite products and 128 flood events over the Eastern Italian Alps. The flood events are grouped according to two flood types: rain floods and flash floods. The satellite precipitation products and runoff simulations are evaluated based on systematic and random error metrics applied on the matched event pairs and basin-scale event properties (i.e., rainfall and runoff cumulative depth and time series shape. Overall, error characteristics exhibit dependency on the flood type. Generally, timing of the event precipitation mass center and dispersion of the time series derived from satellite precipitation exhibits good agreement with the reference; the cumulative depth is mostly underestimated. The study shows a dampening effect in both systematic and random error components of the satellite-driven hydrograph relative to the satellite-retrieved hyetograph. The systematic error in shape of the time series shows a significant dampening effect. The random error dampening effect is less pronounced for the flash flood events and the rain flood events with a high runoff coefficient. This event-based analysis of the satellite precipitation error propagation in flood modeling sheds light on the application of satellite precipitation in mountain flood hydrology.

  11. Discrimination of Rock Fracture and Blast Events Based on Signal Complexity and Machine Learning

    Directory of Open Access Journals (Sweden)

    Zilong Zhou

    2018-01-01

    Full Text Available The automatic discrimination of rock fracture and blast events is complex and challenging due to the similar waveform characteristics. To solve this problem, a new method based on the signal complexity analysis and machine learning has been proposed in this paper. First, the permutation entropy values of signals at different scale factors are calculated to reflect complexity of signals and constructed into a feature vector set. Secondly, based on the feature vector set, back-propagation neural network (BPNN as a means of machine learning is applied to establish a discriminator for rock fracture and blast events. Then to evaluate the classification performances of the new method, the classifying accuracies of support vector machine (SVM, naive Bayes classifier, and the new method are compared, and the receiver operating characteristic (ROC curves are also analyzed. The results show the new method obtains the best classification performances. In addition, the influence of different scale factor q and number of training samples n on discrimination results is discussed. It is found that the classifying accuracy of the new method reaches the highest value when q = 8–15 or 8–20 and n=140.

  12. Four Essays on Family Life Events

    DEFF Research Database (Denmark)

    Loft, Lisbeth Trille Gylling

    . In addition, the present thesis underlines the need for an improved understanding of the role of health and caregiving as fundamental aspects of family life, and in doing so allocates increased attention to how children’s characteristics are central to family-level outcomes. Just as the lives of family......As demographic and social trends continue to change the institution of the family, a need to reconsider the study family life events as they unfold over the life course has emerged. To advance current knowledge of social dynamics associated with this new complexity, the point of departure...... of the present thesis is the way in which individual, social, and institutional contexts shape family life events. The main objective of the present thesis is twofold: to highlight the importance of how family life events are theoretically understood and methodologically approached, and to examine why social...

  13. Complexity and formative experiences

    Directory of Open Access Journals (Sweden)

    Roque Strieder

    2017-12-01

    Full Text Available The contemporaneity is characterized by instability and diversity calling into question certainties and truths proposed in modernity. We recognize that the reality of things and phenomena become effective as a set of events, interactions, retroactions and chances. This different frame extends the need for revision of the epistemological foundations that sustain educational practices and give them sense. The complex thinking is an alternative option for acting as a counterpoint to classical science and its reductionist logic and knowledge compartmentalization, as well as to answer to contemporary epistemological and educational challenges. It aims to associate different areas and forms of knowledge, without, however merge them, distinguishing without separating the several disciplines and instances of the realities. This study, in theoretical references, highlights the relevance of complex approaches to support formative experiences because also able to produce complexities in reflections about educational issues. We conclude that formative possibilities from complexity potentialize the resignification of human’s conception and the understanding of its singularity in interdependence; The understanding that pedagogical and educational activities is a constant interrogation about the possibilities of knowing the knowledge and reframe learning, far beyond knowing its functions and utilitarian purposes; and, as a formative possibility, places us on the trail of responsibility, not as something eventual, but present and indicative of freedom to choose to stay or go beyond.

  14. How Engineers Negotiate Domain Boundaries in a Complex, Interdisciplinary Engineering Project

    Science.gov (United States)

    Panther, Grace; Montfort, Devlin; Pirtle, Zachary

    2017-01-01

    Engineering educators have an essential role in preparing engineers to work in a complex, interdisciplinary workforce. While much engineering education focuses on teaching students to develop disciplinary expertise in specific engineering domains, there is a strong need to teach engineers about the knowledge that they develop or use in their work (Bucciarelli 1994, Allenby Sarewitz, 2011; Frodeman, 2013). The purpose of this research is to gain a better understanding of the knowledge systems of practicing engineers through observations of their practices such that the insights learned can guide future education efforts. Using an example from a complex and interdisciplinary engineering project, this paper presents a case study overviewing the types of epistemological (or knowledge-acquiring or using) complexities that engineers navigate. Specifically, we looked at a discussion of the thermal design of a CubeSat that occurred during an engineering review at NASA. We analyzed the review using a framework that we call 'peak events', or pointed discussions between reviewers, project engineers, and managers. We examined the dialog within peak events to identify the ways that knowledge was brought to bear, highlighting discussions of uncertainty and the boundaries of knowledge claims. We focus on one example discussion surrounding the thermal design of the CubeSat, which provides a particularly thorough example of a knowledge system since the engineers present explained, justified, negotiated, and defended knowledge within a social setting. Engineering students do not get much practice or instruction in explicitly negotiating knowledge systems and epistemic standards in this way. We highlight issues that should matter to engineering educators, such as the need to discuss what level of uncertainty is sufficient and the need to negotiate boundaries of system responsibility. Although this analysis is limited to a single discussion or 'peak event', our case shows that this

  15. Future versus present: time perspective and pupillary response in a relatedness judgment task investigating temporal event knowledge.

    Science.gov (United States)

    Nowack, Kati; Milfont, Taciano L; van der Meer, Elke

    2013-02-01

    Mental representations of events contain many components such as typical agents, instruments, objects as well as a temporal dimension that is directed towards the future. While the role of temporal orientation (chronological, reverse) in event knowledge has been demonstrated by numerous studies, little is known about the influence of time perspective (present or future) as source of individual differences affecting event knowledge. The present study combined behavioral data with task-evoked pupil dilation to examine the impact of time perspective on cognitive resource allocation. In a relatedness judgment task, everyday events like raining were paired with an object feature like wet. Chronological items were processed more easily than reverse items regardless of time perspective. When more automatic processes were applied, greater scores on future time perspective were associated with lower error rates for chronological items. This suggests that a match between a strong focus on future consequences and items with a temporal orientation directed toward the future serves to enhance responding accuracy. Indexed by pupillary data, future-oriented participants invested more cognitive resources while outperforming present-oriented participants in reaction times across all conditions. This result was supported by a principal component analysis on the pupil data, which demonstrated the same impact of time perspective on the factor associated with more general aspects of cognitive effort. These findings suggest that future time perspective may be linked to a more general cognitive performance characteristic that improves overall task performance. Copyright © 2012 Elsevier B.V. All rights reserved.

  16. RDF SKETCH MAPS - KNOWLEDGE COMPLEXITY REDUCTION FOR PRECISION MEDICINE ANALYTICS.

    Science.gov (United States)

    Thanintorn, Nattapon; Wang, Juexin; Ersoy, Ilker; Al-Taie, Zainab; Jiang, Yuexu; Wang, Duolin; Verma, Megha; Joshi, Trupti; Hammer, Richard; Xu, Dong; Shin, Dmitriy

    2016-01-01

    Realization of precision medicine ideas requires significant research effort to be able to spot subtle differences in complex diseases at the molecular level to develop personalized therapies. It is especially important in many cases of highly heterogeneous cancers. Precision diagnostics and therapeutics of such diseases demands interrogation of vast amounts of biological knowledge coupled with novel analytic methodologies. For instance, pathway-based approaches can shed light on the way tumorigenesis takes place in individual patient cases and pinpoint to novel drug targets. However, comprehensive analysis of hundreds of pathways and thousands of genes creates a combinatorial explosion, that is challenging for medical practitioners to handle at the point of care. Here we extend our previous work on mapping clinical omics data to curated Resource Description Framework (RDF) knowledge bases to derive influence diagrams of interrelationships of biomarker proteins, diseases and signal transduction pathways for personalized theranostics. We present RDF Sketch Maps - a computational method to reduce knowledge complexity for precision medicine analytics. The method of RDF Sketch Maps is inspired by the way a sketch artist conveys only important visual information and discards other unnecessary details. In our case, we compute and retain only so-called RDF Edges - places with highly important diagnostic and therapeutic information. To do this we utilize 35 maps of human signal transduction pathways by transforming 300 KEGG maps into highly processable RDF knowledge base. We have demonstrated potential clinical utility of RDF Sketch Maps in hematopoietic cancers, including analysis of pathways associated with Hairy Cell Leukemia (HCL) and Chronic Myeloid Leukemia (CML) where we achieved up to 20-fold reduction in the number of biological entities to be analyzed, while retaining most likely important entities. In experiments with pathways associated with HCL a generated RDF

  17. Administration, Administration of the knowledge and methodological work in the Complex Educational Disciplines

    Directory of Open Access Journals (Sweden)

    Tania Alina Mena-Silva

    2014-06-01

    Full Text Available Today the educational disciplines have evolved to a superior and more complex stadium that has been materialized in that converge in a discipline and relate diverse study modalities, professors' type and teaching matters, that makes more complex the work of the professor when having to prepare metodológicamente the subject in more than an occasion, it is materialized this way the Complex Educational Discipline. The administration and the administration of the knowledge are constituted in essential elements for the realization of the methodological work with the community of professors, starting from a process of methodological preparation centered in the professor.

  18. Event-by-event simulation of quantum phenomena

    NARCIS (Netherlands)

    De Raedt, Hans; Michielsen, Kristel

    A discrete-event simulation approach is reviewed that does not require the knowledge of the solution of the wave equation of the whole system, yet reproduces the statistical distributions of wave theory by generating detection events one-by-one. The simulation approach is illustrated by applications

  19. 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.

  20. The Acquisition Process as a Vehicle for Enabling Knowledge Management in the Lifecycle of Complex Federal Systems

    Science.gov (United States)

    Stewart, Helen; Spence, Matt Chew; Holm, Jeanne; Koga, Dennis (Technical Monitor)

    2001-01-01

    This white paper explores how to increase the success and operation of critical, complex, national systems by effectively capturing knowledge management requirements within the federal acquisition process. Although we focus on aerospace flight systems, the principles outlined within may have a general applicability to other critical federal systems as well. Fundamental design deficiencies in federal, mission-critical systems have contributed to recent, highly visible system failures, such as the V-22 Osprey and the Delta rocket family. These failures indicate that the current mechanisms for knowledge management and risk management are inadequate to meet the challenges imposed by the rising complexity of critical systems. Failures of aerospace system operations and vehicles may have been prevented or lessened through utilization of better knowledge management and information management techniques.

  1. Memory for past public events depends on retrieval frequency but not memory age in Alzheimer's disease.

    Science.gov (United States)

    Müller, Stephan; Mychajliw, Christian; Hautzinger, Martin; Fallgatter, Andreas J; Saur, Ralf; Leyhe, Thomas

    2014-01-01

    Alzheimer's disease (AD) is characterized by retrograde memory deficits primarily caused by dysfunction of the hippocampal complex. Unresolved questions exist concerning the time course of hippocampal involvement in conscious recollection of declarative knowledge, as reports of temporal gradients of retrograde amnesia have been inconclusive. The aim of this study was to examine whether the extent and severity of retrograde amnesia is mediated by retrieval frequency or, in contrast, whether it depends on the age of the memory according to the assumptions of the main current theories of memory formation. We compared recall of past public events in patients with AD and healthy control (HC) individuals using the Historic Events Test (HET). The HET assesses knowledge about famous public events of the past 60 years divided into four time segments and consists of subjective memory rating, dating accuracy, and contextual memory tasks. Although memory for public events was impaired in AD patients, there was a strong effect of retrieval frequency across all time segments and both groups. As AD and HC groups derived similar benefits from greater retrieval frequency, cortical structures other than the hippocampal complex may mediate memory retrieval. These findings suggest that more frequently retrieved events and facts become more independent of the hippocampal complex and thus better protected against early damage of AD. This could explain why cognitive activity may delay the onset of memory decline in persons who develop AD.

  2. A novel approach for modelling complex maintenance systems using discrete event simulation

    International Nuclear Information System (INIS)

    Alrabghi, Abdullah; Tiwari, Ashutosh

    2016-01-01

    Existing approaches for modelling maintenance rely on oversimplified assumptions which prevent them from reflecting the complexity found in industrial systems. In this paper, we propose a novel approach that enables the modelling of non-identical multi-unit systems without restrictive assumptions on the number of units or their maintenance characteristics. Modelling complex interactions between maintenance strategies and their effects on assets in the system is achieved by accessing event queues in Discrete Event Simulation (DES). The approach utilises the wide success DES has achieved in manufacturing by allowing integration with models that are closely related to maintenance such as production and spare parts systems. Additional advantages of using DES include rapid modelling and visual interactive simulation. The proposed approach is demonstrated in a simulation based optimisation study of a published case. The current research is one of the first to optimise maintenance strategies simultaneously with their parameters while considering production dynamics and spare parts management. The findings of this research provide insights for non-conflicting objectives in maintenance systems. In addition, the proposed approach can be used to facilitate the simulation and optimisation of industrial maintenance systems. - Highlights: • This research is one of the first to optimise maintenance strategies simultaneously. • New insights for non-conflicting objectives in maintenance systems. • The approach can be used to optimise industrial maintenance systems.

  3. Event-based state estimation for a class of complex networks with time-varying delays: A comparison principle approach

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Wenbing [Department of Mathematics, Yangzhou University, Yangzhou 225002 (China); Wang, Zidong [Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH (United Kingdom); Liu, Yurong, E-mail: yrliu@yzu.edu.cn [Department of Mathematics, Yangzhou University, Yangzhou 225002 (China); Communication Systems and Networks (CSN) Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah 21589 (Saudi Arabia); Ding, Derui [Shanghai Key Lab of Modern Optical System, Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093 (China); Alsaadi, Fuad E. [Communication Systems and Networks (CSN) Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah 21589 (Saudi Arabia)

    2017-01-05

    The paper is concerned with the state estimation problem for a class of time-delayed complex networks with event-triggering communication protocol. A novel event generator function, which is dependent not only on the measurement output but also on a predefined positive constant, is proposed with hope to reduce the communication burden. A new concept of exponentially ultimate boundedness is provided to quantify the estimation performance. By means of the comparison principle, some sufficient conditions are obtained to guarantee that the estimation error is exponentially ultimately bounded, and then the estimator gains are obtained in terms of the solution of certain matrix inequalities. Furthermore, a rigorous proof is proposed to show that the designed triggering condition is free of the Zeno behavior. Finally, a numerical example is given to illustrate the effectiveness of the proposed event-based estimator. - Highlights: • An event-triggered estimator is designed for complex networks with time-varying delays. • A novel event generator function is proposed to reduce the communication burden. • The comparison principle is utilized to derive the sufficient conditions. • The designed triggering condition is shown to be free of the Zeno behavior.

  4. Determinants of reverse knowledge transfer for emerging market multinationals: the role of complexity, autonomy and embeddedness

    Directory of Open Access Journals (Sweden)

    Franciane Freitas Silveira

    Full Text Available Abstract Subsidiaries conduct innovation activities in foreign markets either to capture valuable knowledge that is necessary to adapt their products to local markets or to create valuable knowledge for headquarters. For emerging market multinationals, most studies have overlooked the determinants of successful reverse knowledge transfer from subsidiaries located in emerging and developed markets. This paper analyzed the responses of a survey administered to 78 Brazilian multinationals that own subsidiaries in developed and emerging markets. We found that knowledge complexity developed at the subsidiary, its autonomy and embeddedness in the foreign market determine the successful reverse knowledge transfer to headquarters of emerging market multinationals. This paper contributes to previous studies of reverse knowledge transfer by underlying the main drivers for emerging market multinationals.

  5. Using social media to facilitate knowledge transfer in complex engineering environments: a primer for educators

    Science.gov (United States)

    Murphy, Glen; Salomone, Sonia

    2013-03-01

    While highly cohesive groups are potentially advantageous they are also often correlated with the emergence of knowledge and information silos based around those same functional or occupational clusters. Consequently, an essential challenge for engineering organisations wishing to overcome informational silos is to implement mechanisms that facilitate, encourage and sustain interactions between otherwise disconnected groups. This paper acts as a primer for those seeking to gain an understanding of the design, functionality and utility of a suite of software tools generically termed social media technologies in the context of optimising the management of tacit engineering knowledge. Underpinned by knowledge management theory and using detailed case examples, this paper explores how social media technologies achieve such goals, allowing for the transfer of knowledge by tapping into the tacit and explicit knowledge of disparate groups in complex engineering environments.

  6. A Structural Knowledge Representation Approach in Emergency Knowledge Reorganization

    OpenAIRE

    Wang, Qingquan; Rong, Lili

    2007-01-01

    Facing complicate problems in emergency responses, decision makers should acquire sufficient background knowledge for efficient decision-making. Emergency knowledge acquired can be a kind of special product that is transferred among emergency decision makers and functional departments. The processing of knowledge product motivates the emergency knowledge decomposition and event-oriented knowledge integration, i.e. knowledge reorganization. Supported by the semantic power of category theory, t...

  7. Extracting useful knowledge from event logs

    DEFF Research Database (Denmark)

    Djenouri, Youcef; Belhadi, Asma; Fournier-Viger, Philippe

    2018-01-01

    Business process analysis is a key activity that aims at increasing the efficiency of business operations. In recent years, several data mining based methods have been designed for discovering interesting patterns in event logs. A popular type of methods consists of applying frequent itemset mini...

  8. The Conception of Organizational Knowledge as a Complex System (Invited Paper

    Directory of Open Access Journals (Sweden)

    Octavio Orozco y Orozco

    2016-08-01

    Full Text Available In this paper, it is argued that it is necessary a conception of organizational knowledge which is pertinent for seizing the business opportunity created by three national problems of Mexico. Then, diverse disciplinary domains are integrated to conceive organizational knowledge as a complex system of actions in execution displaying the emergent properties of reiterated effectiveness and efficiency in the accomplishment of organizational objectives. Next, the MACOSC-IASC® model which implements this conception is presented as well as two results of using it. The first one, is in the field of open source software development; the second one, is in the Collaboration Fund's tripartite framework (CF which is being designed to seize the business opportunity. To close this paper, the CF framework's approach to develop the Mexican Industry of Software Development is contrasted with a public policy project named PROSOFT 3.0.

  9. Foghorns to the Future: Using Knowledge and Transdisciplinarity to Navigate Complex Systems

    Directory of Open Access Journals (Sweden)

    Georgina N. R. Cundill

    2005-12-01

    Full Text Available Complex systems are shaped by cross-scale interactions, nonlinear feedbacks, and uncertainty, among other factors. Transdisciplinary approaches that combine participatory and conventional methods and democratize knowledge to enable diverse inputs, including those from local, informal experts, are essential tools in understanding such systems. The metaphor of a "bridge" to overcome the divide between different disciplines and knowledge systems is often used to advocate for more inclusive approaches. However, there is a shortage of information and consensus on the process, methodologies, and techniques that are appropriate to achieve this. This paper compares two case studies from Peru and South Africa in which community-level assessments were conducted as part of the Millennium Ecosystem Assessment, and explores the different conceptual models used to deal with scale and complexity, the methods adopted to deal with epistemology, and the different means of dealing with uncertainty in each assessment. The paper highlights the conceptual and practical challenges encountered by each assessment and discusses some of the conceptual and practical trade-offs involved in the selection of particular approaches. We argue that a boat navigating between unknown shores may be a more appropriate metaphor than a bridge, whose starting and end points are fixed and known.

  10. Metric for Calculation of System Complexity based on its Connections

    Directory of Open Access Journals (Sweden)

    João Ricardo Braga de Paiva

    2017-02-01

    Full Text Available This paper proposes a methodology based on system connections to calculate its complexity. Two study cases are proposed: the dining Chinese philosophers’ problem and the distribution center. Both studies are modeled using the theory of Discrete Event Systems and simulations in different contexts were performed in order to measure their complexities. The obtained results present i the static complexity as a limiting factor for the dynamic complexity, ii the lowest cost in terms of complexity for each unit of measure of the system performance and iii the output sensitivity to the input parameters. The associated complexity and performance measures aggregate knowledge about the system.

  11. Events as spaces for upgrading : Automotive events in Shanghai

    NARCIS (Netherlands)

    E. van Tuijl (Erwin); K. Dittrich (Koen)

    2015-01-01

    textabstractThis study contributes to the literature dealing with upgrading of the Chinese automotive industry by analysing the role of events in the upgrading process. By combining literature on temporary clusters with that of knowledge sourcing and upgrading, we investigate how firms use events

  12. Self-complexity as a cognitive buffer against stress-related illness and depression.

    Science.gov (United States)

    Linville, P W

    1987-04-01

    This prospective study tested the self-complexity buffering hypothesis that greater self-complexity moderates the adverse impact of stress on depression and illness. This hypothesis follows from a model that assumes self-knowledge is represented in terms of multiple self-aspects. As defined in this model, greater self-complexity involves representing the self in terms of a greater number of cognitive self-aspects and maintaining greater distinctions among self-aspects. Subjects completed measures of stressful events, self-complexity, depression, and illness in two sessions separated by 2 weeks. A multiple regression analysis used depression and illness at Time 2 as outcomes, stressful life events and self-complexity at Time 1 as predictors, and depression and illness at Time 1 as control variables. The Stress X Self-Complexity interaction provided strong support for the buffering hypothesis. Subjects higher in self-complexity were less prone to depression, perceived stress, physical symptoms, and occurrence of the flu and other illnesses following high levels of stressful events. These results suggest that vulnerability to stress-related depression and illness is due, in part, to differences in cognitive representations of the self.

  13. Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor

    2012-11-15

    Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require continuous information monitoring and integration present novel opportunities and challenges for Semantic Web technologies. Semantic Web is promising to model diverse Smart Grid domain knowledge for enhanced situation awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic analysis of sensor measurements. In this paper, we combine semantic web and complex event processing for stream based semantic querying. We illustrate its adoption in the USC Campus Micro-Grid for detecting and enacting dynamic response strategies to peak power situations by diverse user roles. We also describe the semantic ontology and event query model that supports this. Further, we introduce and evaluate caching techniques to improve the response time for semantic event queries to meet our application needs and enable sustainable energy management.

  14. The Development of Narrative Productivity, Syntactic Complexity, Referential Cohesion and Event Content in Four- to Eight-Year-Old Finnish Children

    Science.gov (United States)

    Mäkinen, Leena; Loukusa, Soile; Nieminen, Lea; Leinonen, Eeva; Kunnari, Sari

    2014-01-01

    This study focuses on the development of narrative structure and the relationship between narrative productivity and event content. A total of 172 Finnish children aged between four and eight participated. Their picture-elicited narrations were analysed for productivity, syntactic complexity, referential cohesion and event content. Each measure…

  15. Real-time complex event processing for cloud resources

    Science.gov (United States)

    Adam, M.; Cordeiro, C.; Field, L.; Giordano, D.; Magnoni, L.

    2017-10-01

    The ongoing integration of clouds into the WLCG raises the need for detailed health and performance monitoring of the virtual resources in order to prevent problems of degraded service and interruptions due to undetected failures. When working in scale, the existing monitoring diversity can lead to a metric overflow whereby the operators need to manually collect and correlate data from several monitoring tools and frameworks, resulting in tens of different metrics to be constantly interpreted and analyzed per virtual machine. In this paper we present an ESPER based standalone application which is able to process complex monitoring events coming from various sources and automatically interpret data in order to issue alarms upon the resources’ statuses, without interfering with the actual resources and data sources. We will describe how this application has been used with both commercial and non-commercial cloud activities, allowing the operators to quickly be alarmed and react to misbehaving VMs and LHC experiments’ workflows. We will present the pattern analysis mechanisms being used, as well as the surrounding Elastic and REST API interfaces where the alarms are collected and served to users.

  16. Introduction of operator actions in the event trees

    International Nuclear Information System (INIS)

    Bars, G.; Lanore, J.M.; Villeroux, C.

    1984-11-01

    In the PRA in progress in France for a 900 MW PWR plant, an effort is done for introducing operator actions during accident sequences. A first approach of this complex problem relies on an extensive use of existing methods an knowledge in diverse fields. Identification of actions is based on the operating procedures, and in particular on the existence of special emergency procedures which define the optimal actions during severe accidents. This approach implies the introduction in the event trees of the notion of procedure failure. Quantification of the corresponding probabilities leads to several problems including physics of the sequences, systems availability and human behaviour for decision making and actions. This treatment is illustrated by the example of the small break event tree

  17. Radiochemical data collected on events from which radioactivity escaped beyond the borders of the Nevada test range complex

    International Nuclear Information System (INIS)

    Hicks, H.G.

    1981-01-01

    This report identifies all nuclear events in Nevada that are known to have sent radioactivity beyond the borders of the test range complex. There have been 177 such tests, representing seven different types: nuclear detonations in the atmosphere, nuclear excavation events, nuclear safety events, underground nuclear events that inadvertently seeped or vented to the atmosphere, dispersion of plutonium and/or uranium by chemical high explosives, nuclear rocket engine tests, and nuclear ramjet engine tests. The source term for each of these events is given, together with the data base from which it was derived (except where the data are classified). The computer programs used for organizing and processing the data base and calculating radionuclide production are described and included, together with the input and output data and details of the calculations. This is the basic formation needed to make computer modeling studies of the fallout from any of these 177 events

  18. Scientific Knowledge Discovery in Complex Semantic Networks of Geophysical Systems

    Science.gov (United States)

    Fox, P.

    2012-04-01

    The vast majority of explorations of the Earth's systems are limited in their ability to effectively explore the most important (often most difficult) problems because they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. Recent successes in the application of complex network theory and algorithms to climate data, raise expectations that more general graph-based approaches offer the opportunity for new discoveries. In the past ~ 5 years in the natural sciences there has substantial progress in providing both specialists and non-specialists the ability to describe in machine readable form, geophysical quantities and relations among them in meaningful and natural ways, effectively breaking the prior syntax barrier. The corresponding open-world semantics and reasoning provide higher-level interconnections. That is, semantics provided around the data structures, using semantically-equipped tools, and semantically aware interfaces between science application components allowing for discovery at the knowledge level. More recently, formal semantic approaches to continuous and aggregate physical processes are beginning to show promise and are soon likely to be ready to apply to geoscientific systems. To illustrate these opportunities, this presentation presents two application examples featuring domain vocabulary (ontology) and property relations (named and typed edges in the graphs). First, a climate knowledge discovery pilot encoding and exploration of CMIP5 catalog information with the eventual goal to encode and explore CMIP5 data. Second, a multi-stakeholder knowledge network for integrated assessments in marine ecosystems, where the data is highly inter-disciplinary.

  19. Performance Analysis with Network-Enhanced Complexities: On Fading Measurements, Event-Triggered Mechanisms, and Cyber Attacks

    Directory of Open Access Journals (Sweden)

    Derui Ding

    2014-01-01

    Full Text Available Nowadays, the real-world systems are usually subject to various complexities such as parameter uncertainties, time-delays, and nonlinear disturbances. For networked systems, especially large-scale systems such as multiagent systems and systems over sensor networks, the complexities are inevitably enhanced in terms of their degrees or intensities because of the usage of the communication networks. Therefore, it would be interesting to (1 examine how this kind of network-enhanced complexities affects the control or filtering performance; and (2 develop some suitable approaches for controller/filter design problems. In this paper, we aim to survey some recent advances on the performance analysis and synthesis with three sorts of fashionable network-enhanced complexities, namely, fading measurements, event-triggered mechanisms, and attack behaviors of adversaries. First, these three kinds of complexities are introduced in detail according to their engineering backgrounds, dynamical characteristic, and modelling techniques. Then, the developments of the performance analysis and synthesis issues for various networked systems are systematically reviewed. Furthermore, some challenges are illustrated by using a thorough literature review and some possible future research directions are highlighted.

  20. Patterns of patient safety culture: a complexity and arts-informed project of knowledge translation.

    Science.gov (United States)

    Mitchell, Gail J; Tregunno, Deborah; Gray, Julia; Ginsberg, Liane

    2011-01-01

    The purpose of this paper is to describe patterns of patient safety culture that emerged from an innovative collaboration among health services researchers and fine arts colleagues. The group engaged in an arts-informed knowledge translation project to produce a dramatic expression of patient safety culture research for inclusion in a symposium. Scholars have called for a deeper understanding of the complex interrelationships among structure, process and outcomes relating to patient safety. Four patterns of patient safety culture--blinding familiarity, unyielding determination, illusion of control and dismissive urgency--are described with respect to how they informed creation of an arts-informed project for knowledge translation.

  1. 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.

  2. Event recognition by detrended fluctuation analysis: An application to Teide-Pico Viejo volcanic complex, Tenerife, Spain

    International Nuclear Information System (INIS)

    Del Pin, Enrico; Carniel, Roberto; Tarraga, Marta

    2008-01-01

    In this work we investigate the application of the detrended fluctuation analysis (DFA) to seismic data recorded in the island of Tenerife (Canary Islands, Spain) during the month of July 2004, in a phase of possible unrest of the Teide-Pico Viejo volcanic complex. Tectonic events recorded in the area are recognized and located by the Spanish national agency Instituto Geografico Nacional (IGN) and their catalogue is the only currently available dataset, whose completeness unfortunately suffers from the strong presence of anthropogenic noise. In this paper we propose the use of DFA to help to automatically identify events. The evaluation of this case study proves DFA to be a promising tool to be used for rapidly screening large seismic datasets and highlighting time windows with the potential presence of discrete events

  3. THE USE OF KNOWLEDGE MANAGEMENT SYSTEMS AND EVENT-B MODELLING IN A LEAN ENTERPRISE

    Directory of Open Access Journals (Sweden)

    Ladislav Buřita

    2018-03-01

    Full Text Available This paper provides a case study describing an approach to improving the efficiency of an information system (IS by supporting processes outside the IS, using the ontology-driven knowledge management systems (KMS as a mini-application in the area of so-called lean enterprise. Lean enterprise is focused on creating a maximal value for final customers while eliminating all kinds of waste and unnecessary costs, which significantly helps to increase the level of its competitiveness. It is about managerial decision-making, which can be in some cases contradictory (solving a local problem can cause a problem in another place. In this paper, we describe the KMS ATOM, which supports the innovation process in a lean enterprise. We show how the risk of wrong decisions due to contradictory effects can be eliminated by implementing a safety-critical system into the traditional IS. Our model is supported by Event-B modelling, a refinement-based formal modelling method, which is successfully used in important areas such as infrastructure, medicine, nuclear engineering and transportation (fire alarm systems, robotic surgery machines, braking systems in transportation, etc.. Nowadays, Event-B modelling is starting to be used for various management decision-making activities, and it is becoming a powerful competitiveness tool. This paper introduces a simple example of how Event-B modelling and its proof obligations can help improve and automate the decision-making process by eliminating potential threats of inefficient decisions.

  4. Integrated approach to knowledge acquisition and safety management of complex plants with emphasis on human factors

    International Nuclear Information System (INIS)

    Kosmowski, K.T.

    1998-01-01

    In this paper an integrated approach to the knowledge acquisition and safety management of complex industrial plants is proposed and outlined. The plant is considered within a man-technology-environment (MTE) system. The knowledge acquisition is aimed at the consequent reliability evaluation of human factor and probabilistic modeling of the plant. Properly structured initial knowledge is updated in life-time of the plant. The data and knowledge concerning the topology of safety related systems and their functions are created in a graphical CAD system and are object oriented. Safety oriented monitoring of the plant includes abnormal situations due to external and internal disturbances, failures of hard/software components and failures of human factor. The operation and safety related evidence is accumulated in special data bases. Data/knowledge bases are designed in such a way to support effectively the reliability and safety management of the plant. (author)

  5. Effects of training peer tutors in content knowledge versus tutoring skills on giving feedback to help tutees’ complex tasks

    NARCIS (Netherlands)

    Hsiao, Amy; Brouns, Francis; Van Bruggen, Jan; Sloep, Peter

    2015-01-01

    This study aims to investigate the effectiveness of training tutors in content knowledge of a particular domain versus training them in tutoring skills of pedagogical knowledge when tutoring on a complex tutee task. Forty-seven tutor-tutee pairs of fourth year secondary school students were created

  6. On the Amortized Complexity of Zero Knowledge Protocols for Multiplicative Relations

    DEFF Research Database (Denmark)

    Cramer, Ronald; Damgård, Ivan Bjerre; Pastro, Valerio

    2012-01-01

    We present a protocol that allows to prove in zero-knowledge that committed values xi, yi, zi, i = 1,…,l satisfy xiyi = zi, where the values are taken from a finite field. For error probability 2− u the size of the proof is linear in u and only logarithmic in l. Therefore, for any fixed error...... theoretically secure. Using this type of commitments we obtain, in the preprocessing model, a perfect zero-knowledge interactive proof for circuit satisfiability of circuit C where the proof has size O(|C|). We then generalize our basic scheme to a protocol that verifies l instances of an algebraic circuit D...... over K with v inputs, in the following sense: given committed values xi,j and zi, with i = 1,…,l and j = 1,…,v, the prover shows that D(xi,1,…,xi,v) = zi for i = 1,…,l. The interesting property is that the amortized complexity of verifying one circuit only depends on the multiplicative depth...

  7. Complex Parts, Complex Data: Why You Need to Understand What Radiation Single Event Testing Data Does and Doesn't Show and the Implications Thereof

    Science.gov (United States)

    LaBel, Kenneth A.; Berg, Melanie D.

    2015-01-01

    Electronic parts (integrated circuits) have grown in complexity such that determining all failure modes and risks from single particle event testing is impossible. In this presentation, the authors will present why this is so and provide some realism on what this means. Its all about understanding actual risks and not making assumptions.

  8. The Knowledge-Integrated Network Biomarkers Discovery for Major Adverse Cardiac Events

    Science.gov (United States)

    Jin, Guangxu; Zhou, Xiaobo; Wang, Honghui; Zhao, Hong; Cui, Kemi; Zhang, Xiang-Sun; Chen, Luonan; Hazen, Stanley L.; Li, King; Wong, Stephen T. C.

    2010-01-01

    The mass spectrometry (MS) technology in clinical proteomics is very promising for discovery of new biomarkers for diseases management. To overcome the obstacles of data noises in MS analysis, we proposed a new approach of knowledge-integrated biomarker discovery using data from Major Adverse Cardiac Events (MACE) patients. We first built up a cardiovascular-related network based on protein information coming from protein annotations in Uniprot, protein–protein interaction (PPI), and signal transduction database. Distinct from the previous machine learning methods in MS data processing, we then used statistical methods to discover biomarkers in cardiovascular-related network. Through the tradeoff between known protein information and data noises in mass spectrometry data, we finally could firmly identify those high-confident biomarkers. Most importantly, aided by protein–protein interaction network, that is, cardiovascular-related network, we proposed a new type of biomarkers, that is, network biomarkers, composed of a set of proteins and the interactions among them. The candidate network biomarkers can classify the two groups of patients more accurately than current single ones without consideration of biological molecular interaction. PMID:18665624

  9. Practical knowledge

    DEFF Research Database (Denmark)

    Christensen, Jens

    2006-01-01

    The chapter aims to develop conceptions of practical knowledge, relevant to skills and Bildung in engineering science. The starting point is Francis Bacon’s ideas of new science, developed 400 years ago. It is argued that Bacon’s vision has become dogmatized during the course of history, whereas....... Furthermore, and still with reference to truth, utility, and goodness, it is claimed that unification of skills and Bildung should include the ability to deal with complexity. A second-order complexity challenges the search for adequacy between; a) the complexity of knowledge-creation; and b) the complexity...

  10. Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data.

    Science.gov (United States)

    Dexter, Franklin; Wachtel, Ruth E; Epstein, Richard H

    2011-01-07

    No systematic process has previously been described for a needs assessment that identifies the operating room (OR) management decisions made by the anesthesiologists and nurse managers at a facility that do not maximize the efficiency of use of OR time. We evaluated whether event-based knowledge elicitation can be used practically for rapid assessment of OR management decision-making at facilities, whether scenarios can be adapted automatically from information systems data, and the usefulness of the approach. A process of event-based knowledge elicitation was developed to assess OR management decision-making that may reduce the efficiency of use of OR time. Hypothetical scenarios addressing every OR management decision influencing OR efficiency were created from published examples. Scenarios are adapted, so that cues about conditions are accurate and appropriate for each facility (e.g., if OR 1 is used as an example in a scenario, the listed procedure is a type of procedure performed at the facility in OR 1). Adaptation is performed automatically using the facility's OR information system or anesthesia information management system (AIMS) data for most scenarios (43 of 45). Performing the needs assessment takes approximately 1 hour of local managers' time while they decide if their decisions are consistent with the described scenarios. A table of contents of the indexed scenarios is created automatically, providing a simple version of problem solving using case-based reasoning. For example, a new OR manager wanting to know the best way to decide whether to move a case can look in the chapter on "Moving Cases on the Day of Surgery" to find a scenario that describes the situation being encountered. Scenarios have been adapted and used at 22 hospitals. Few changes in decisions were needed to increase the efficiency of use of OR time. The few changes were heterogeneous among hospitals, showing the usefulness of individualized assessments. Our technical advance is the

  11. Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data

    Directory of Open Access Journals (Sweden)

    Epstein Richard H

    2011-01-01

    Full Text Available Abstract Background No systematic process has previously been described for a needs assessment that identifies the operating room (OR management decisions made by the anesthesiologists and nurse managers at a facility that do not maximize the efficiency of use of OR time. We evaluated whether event-based knowledge elicitation can be used practically for rapid assessment of OR management decision-making at facilities, whether scenarios can be adapted automatically from information systems data, and the usefulness of the approach. Methods A process of event-based knowledge elicitation was developed to assess OR management decision-making that may reduce the efficiency of use of OR time. Hypothetical scenarios addressing every OR management decision influencing OR efficiency were created from published examples. Scenarios are adapted, so that cues about conditions are accurate and appropriate for each facility (e.g., if OR 1 is used as an example in a scenario, the listed procedure is a type of procedure performed at the facility in OR 1. Adaptation is performed automatically using the facility's OR information system or anesthesia information management system (AIMS data for most scenarios (43 of 45. Performing the needs assessment takes approximately 1 hour of local managers' time while they decide if their decisions are consistent with the described scenarios. A table of contents of the indexed scenarios is created automatically, providing a simple version of problem solving using case-based reasoning. For example, a new OR manager wanting to know the best way to decide whether to move a case can look in the chapter on "Moving Cases on the Day of Surgery" to find a scenario that describes the situation being encountered. Results Scenarios have been adapted and used at 22 hospitals. Few changes in decisions were needed to increase the efficiency of use of OR time. The few changes were heterogeneous among hospitals, showing the usefulness of

  12. Spatiotemporal Interpolation Methods for Solar Event Trajectories

    Science.gov (United States)

    Filali Boubrahimi, Soukaina; Aydin, Berkay; Schuh, Michael A.; Kempton, Dustin; Angryk, Rafal A.; Ma, Ruizhe

    2018-05-01

    This paper introduces four spatiotemporal interpolation methods that enrich complex, evolving region trajectories that are reported from a variety of ground-based and space-based solar observatories every day. Our interpolation module takes an existing solar event trajectory as its input and generates an enriched trajectory with any number of additional time–geometry pairs created by the most appropriate method. To this end, we designed four different interpolation techniques: MBR-Interpolation (Minimum Bounding Rectangle Interpolation), CP-Interpolation (Complex Polygon Interpolation), FI-Interpolation (Filament Polygon Interpolation), and Areal-Interpolation, which are presented here in detail. These techniques leverage k-means clustering, centroid shape signature representation, dynamic time warping, linear interpolation, and shape buffering to generate the additional polygons of an enriched trajectory. Using ground-truth objects, interpolation effectiveness is evaluated through a variety of measures based on several important characteristics that include spatial distance, area overlap, and shape (boundary) similarity. To our knowledge, this is the first research effort of this kind that attempts to address the broad problem of spatiotemporal interpolation of solar event trajectories. We conclude with a brief outline of future research directions and opportunities for related work in this area.

  13. The knowledge-based framework for a nuclear power plant operator advisor

    International Nuclear Information System (INIS)

    Miller, D.W.

    1989-01-01

    An important facet in the design, development, and evaluation of aids for complex systems is the identification of the tasks performed by the operator. Operator aids utilizing artificial intelligence, or more specifically knowledge-based systems, require identification of these tasks in the context of a knowledge-based framework. In this context, the operator responses to the plant behavior are to monitor and comprehend the state of the plant, identify normal and abnormal plant conditions, diagnose abnormal plant conditions, predict plant response to specific control actions, and select the best available control action, implement a feasible control action, monitor system response to the control action, and correct for any inappropriate responses. These tasks have been identified to formulate a knowledge-based framework for an operator advisor under development at Ohio State University that utilizes the generic task methodology proposed by Chandrasekaran. The paper lays the foundation to identify the responses as a knowledge-based set of tasks in accordance with the expected human operator responses during an event. Initial evaluation of the expert system indicates the potential for an operator aid that will improve the operator's ability to respond to both anticipated and unanticipated events

  14. Intelligent monitoring and fault diagnosis for ATLAS TDAQ: a complex event processing solution

    CERN Document Server

    Magnoni, Luca; Luppi, Eleonora

    Effective monitoring and analysis tools are fundamental in modern IT infrastructures to get insights on the overall system behavior and to deal promptly and effectively with failures. In recent years, Complex Event Processing (CEP) technologies have emerged as effective solutions for information processing from the most disparate fields: from wireless sensor networks to financial analysis. This thesis proposes an innovative approach to monitor and operate complex and distributed computing systems, in particular referring to the ATLAS Trigger and Data Acquisition (TDAQ) system currently in use at the European Organization for Nuclear Research (CERN). The result of this research, the AAL project, is currently used to provide ATLAS data acquisition operators with automated error detection and intelligent system analysis. The thesis begins by describing the TDAQ system and the controlling architecture, with a focus on the monitoring infrastructure and the expert system used for error detection and automated reco...

  15. Knowledge based query expansion in complex multimedia event detection

    NARCIS (Netherlands)

    Boer, M. de; Schutte, K.; Kraaij, W.

    2016-01-01

    A common approach in content based video information retrieval is to perform automatic shot annotation with semantic labels using pre-trained classifiers. The visual vocabulary of state-of-the-art automatic annotation systems is limited to a few thousand concepts, which creates a semantic gap

  16. Knowledge based query expansion in complex multimedia event detection

    NARCIS (Netherlands)

    Boer, M.H.T. de; Schutte, K.; Kraaij, W.

    2015-01-01

    A common approach in content based video information retrieval is to perform automatic shot annotation with semantic labels using pre-trained classifiers. The visual vocabulary of state-of-the-art automatic annotation systems is limited to a few thousand concepts, which creates a semantic gap

  17. Complex Socio-Ecological Dynamics driven by extreme events in the Amazon

    Science.gov (United States)

    Pinho, P. F.

    2015-12-01

    Several years with extreme floods or droughts in the past decade have caused human suffering in remote communities of the Brazilian Amazon. Despite documented local knowledge and practices for coping with the high seasonal variability characteristic of the region's hydrology (e.g. 10m change in river levels between dry and flood seasons), and despite 'civil Defense' interventions by various levels of government, the more extreme years seem to have exceeded the coping capacity of the community. In this paper, we explore whether there is a real increase in variability, whether the community perceives that recent extreme events are outside the experience which shapes their responses to 'normal' levels of variability, and what science-based policy could contribute to greater local resilience. Hydrological analyses suggest that variability is indeed increasing, in line with expectations from future climate change. However, current measures of hydrological regimes do not predict years with social hardship very well. Interviewees in two regions are able to express their strategies for dealing with 'normal' variability very well, but also identify ways in which abnormal years exceed their ability to cope. Current Civil Defense arrangements struggle to deliver emergency assistance in a sufficiently timely and locally appropriate fashion. Combining these insights in the context of social-ecological change, we suggest how better integration of science, policy and local knowledge could improve resilience to future trends, and identify some contributions science could make into such an arrangement.

  18. Low latitude ionospheric TEC responses to dynamical complexity quantifiers during transient events over Nigeria

    Science.gov (United States)

    Ogunsua, Babalola

    2018-04-01

    In this study, the values of chaoticity and dynamical complexity parameters for some selected storm periods in the year 2011 and 2012 have been computed. This was done using detrended TEC data sets measured from Birnin-Kebbi, Torro and Enugu global positioning system (GPS) receiver stations in Nigeria. It was observed that the significance of difference (SD) values were mostly greater than 1.96 but surprisingly lower than 1.96 in September 29, 2011. The values of the computed SD were also found to be reduced in most cases just after the geomagnetic storm with immediate recovery a day after the main phase of the storm while the values of Lyapunov exponent and Tsallis entropy remains reduced due to the influence of geomagnetic storms. It was also observed that the value of Lyapunov exponent and Tsallis entropy reveals similar variation pattern during storm period in most cases. Also recorded surprisingly were lower values of these dynamical quantifiers during the solar flare event of August 8th and 9th of the year 2011. The possible mechanisms responsible for these observations were further discussed in this work. However, our observations show that the ionospheric effects of some other possible transient events other than geomagnetic storms can also be revealed by the variation of chaoticity and dynamical complexity.

  19. Effects of Training Peer Tutors in Content Knowledge versus Tutoring Skills on Giving Feedback to Help Tutees' Complex Tasks

    Science.gov (United States)

    Hsiao, Ya Ping; Brouns, Francis; van Bruggen, Jan; Sloep, Peter B.

    2015-01-01

    This study aimed to investigate the effectiveness of training tutors in content knowledge of a particular domain versus training them in tutoring skills of pedagogical knowledge when tutoring on a complex tutee task. Forty-seven tutor--tutee pairs of fourth-year secondary school students were created and assigned to one of the two treatments.…

  20. Patterns of precipitation and soil moisture extremes in Texas, US: A complex network analysis

    Science.gov (United States)

    Sun, Alexander Y.; Xia, Youlong; Caldwell, Todd G.; Hao, Zengchao

    2018-02-01

    Understanding of the spatial and temporal dynamics of extreme precipitation not only improves prediction skills, but also helps to prioritize hazard mitigation efforts. This study seeks to enhance the understanding of spatiotemporal covariation patterns embedded in precipitation (P) and soil moisture (SM) by using an event-based, complex-network-theoretic approach. Events concurrences are quantified using a nonparametric event synchronization measure, and spatial patterns of hydroclimate variables are analyzed by using several network measures and a community detection algorithm. SM-P coupling is examined using a directional event coincidence analysis measure that takes the order of event occurrences into account. The complex network approach is demonstrated for Texas, US, a region possessing a rich set of hydroclimate features and is frequented by catastrophic flooding. Gridded daily observed P data and simulated SM data are used to create complex networks of P and SM extremes. The uncovered high degree centrality regions and community structures are qualitatively in agreement with the overall existing knowledge of hydroclimate extremes in the study region. Our analyses provide new visual insights on the propagation, connectivity, and synchronicity of P extremes, as well as the SM-P coupling, in this flood-prone region, and can be readily used as a basis for event-driven predictive analytics for other regions.

  1. 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

  2. Developing Tacit Knowledge of Complex Systems: The Value of Early Empirical Inquiry in Healthcare Design

    Directory of Open Access Journals (Sweden)

    Chantal Trudel

    2016-09-01

    Full Text Available Infection prevention and control has been the subject of much study in medical and epidemiological research and a variety of best practice guidelines have been developed to support healthcare workers and related stakeholders. Yet, despite the availability of information, managing healthcare-associated infections remains a challenge because the relevant explicit knowledge is not being adequately developed and mobilized as tacit knowledge for use "on the front lines". Some researchers have called for a human factors perspective to help address challenges in designing for infection prevention and control, but relatively few studies have been conducted to date. Researchers also suggest that empirical inquiry is needed to better inform the design process, and particularly the design of complex systems where attention to detailed processes and interactions can support the success of an intervention. A human factors approach can help designers develop a deeper understanding of work processes, technology considerations, as well as physiological, psychological, cultural, and organizational factors. The need is particularly pressing in low-resource healthcare environments where funds, time, and human resources may be scarce and strategic design decisions based on evidence are needed to support meaningful and effective changes. With this in mind, a human factors study was conducted in an existing neonatal intensive care unit to identify the influence of product and environment design on infection prevention and control and to inform recommendations for improvement. In this case study, we illustrate how the application of an empirical, methodical approach can help design professionals and stakeholders develop tacit knowledge of complex systems – knowledge that can be used to better inform design priorities, the design process, decision making, and the allocation of resources to help maximize improvements.

  3. Knowledge evolution in physics research: An analysis of bibliographic coupling networks.

    Directory of Open Access Journals (Sweden)

    Wenyuan Liu

    Full Text Available Even as we advance the frontiers of physics knowledge, our understanding of how this knowledge evolves remains at the descriptive levels of Popper and Kuhn. Using the American Physical Society (APS publications data sets, we ask in this paper how new knowledge is built upon old knowledge. We do so by constructing year-to-year bibliographic coupling networks, and identify in them validated communities that represent different research fields. We then visualize their evolutionary relationships in the form of alluvial diagrams, and show how they remain intact through APS journal splits. Quantitatively, we see that most fields undergo weak Popperian mixing, and it is rare for a field to remain isolated/undergo strong mixing. The sizes of fields obey a simple linear growth with recombination. We can also reliably predict the merging between two fields, but not for the considerably more complex splitting. Finally, we report a case study of two fields that underwent repeated merging and splitting around 1995, and how these Kuhnian events are correlated with breakthroughs on Bose-Einstein condensation (BEC, quantum teleportation, and slow light. This impact showed up quantitatively in the citations of the BEC field as a larger proportion of references from during and shortly after these events.

  4. Sentiment Diffusion of Public Opinions about Hot Events: Based on Complex Network.

    Directory of Open Access Journals (Sweden)

    Xiaoqing Hao

    Full Text Available To study the sentiment diffusion of online public opinions about hot events, we collected people's posts through web data mining techniques. We calculated the sentiment value of each post based on a sentiment dictionary. Next, we divided those posts into five different orientations of sentiments: strongly positive (P, weakly positive (p, neutral (o, weakly negative (n, and strongly negative (N. These sentiments are combined into modes through coarse graining. We constructed sentiment mode complex network of online public opinions (SMCOP with modes as nodes and the conversion relation in chronological order between different types of modes as edges. We calculated the strength, k-plex clique, clustering coefficient and betweenness centrality of the SMCOP. The results show that the strength distribution obeys power law. Most posts' sentiments are weakly positive and neutral, whereas few are strongly negative. There are weakly positive subgroups and neutral subgroups with ppppp and ooooo as the core mode, respectively. Few modes have larger betweenness centrality values and most modes convert to each other with these higher betweenness centrality modes as mediums. Therefore, the relevant person or institutes can take measures to lead people's sentiments regarding online hot events according to the sentiment diffusion mechanism.

  5. End user interface and knowledge base editing system of CSPAR: a knowledge-based consultation system for preventive maintenance in nuclear plants

    International Nuclear Information System (INIS)

    Sinohara, Yasusi; Terano, Takao; Nishiyama, Takuya

    1988-01-01

    Consultation System for Prevention of Abnormal-event Recurrence (CSPAR) is a knowledge-based system to analyze the same kind of events to a given fault reported on a nuclear power plant and to give users some informations for effective measures preventing them. This report discusses the interfaces of CSPAR for both end-users and knowledge-base editors. The interfaces are highly interactive and multi-window oriented. The features are as follows: (1) The end-user interfaces has Japanese language processing facility, which enables the users to consult CSPAR with various synonims and related terms for knowledge-base handling; (2) The knowledge-base editing system is used by knowledge-base editors for maintaining the knowledge on both plants' equipments and abnormal events sequences. It has facilities for easy maintenance of knowledge-bases, which includes a graphic oriented browser, a knowledge-base retriever, and a knowledge-base checker. (author)

  6. Application of qualitative reasoning with functional knowledge represented by Multilevel Flow Modeling to diagnosis of accidental situation in nuclear power plant

    International Nuclear Information System (INIS)

    Yoshida, Kazuo; Tanabe, Fumiya; Kawase, Katumi.

    1996-01-01

    It has been proposed to use the Multilevel Flow Modeling (MFM) by M. Lind as a framework for functional knowledge representation for qualitative reasoning in a complex process system such as nuclear power plant. To build a knowledge base with MFM framework makes it possible to represent functional characteristics in different levels of abstraction and aggregation. A pilot inference system based on the qualitative reasoning with MFM has been developed to diagnose a cause of abnormal events in a typical PWR power plant. Some single failure events has been diagnosed with this system to verify the proposed method. In the verification study, some investigation has been also performed to clarify the effects of this knowledge representation in efficiency of reasoning and ambiguity of qualitative reasoning. (author)

  7. Knowledge to action for solving complex problems: insights from a review of nine international cases.

    Science.gov (United States)

    Riley, B L; Robinson, K L; Gamble, J; Finegood, D T; Sheppard, D; Penney, T L; Best, A

    2015-05-01

    Solving complex problems such as preventing chronic diseases introduces unique challenges for the creation and application of knowledge, or knowledge to action (KTA). KTA approaches that apply principles of systems thinking are thought to hold promise, but practical strategies for their application are not well understood. In this paper we report the results of a scan of systems approaches to KTA with a goal to identify how to optimize their implementation and impact. A 5-person advisory group purposefully selected 9 initiatives to achieve diversity on issues addressed and organizational forms. Information on each case was gathered from documents and through telephone interviews with primary contacts within each organization. Following verification of case descriptions, an inductive analysis was conducted within and across cases. The cases revealed 5 guidelines for moving from conceiving KTA systems to implementing them: (1) establish and nurture relationships, (2) co-produce and curate knowledge, (3) create feedback loops, (4) frame as systems interventions rather than projects, and (5) consider variations across time and place. Results from the environmental scan are a modest start to translating systems concepts for KTA into practice. Use of the strategies revealed in the scan may improve KTA for solving complex public health problems. The strategies themselves will benefit from the development of a science that aims to understand adaptation and ongoing learning from policy and practice interventions, strengthens enduring relationships, and fills system gaps in addition to evidence gaps. Systems approaches to KTA will also benefit from robust evaluations.

  8. The Ontology of Vaccine Adverse Events (OVAE) and its usage in representing and analyzing adverse events associated with US-licensed human vaccines.

    Science.gov (United States)

    Marcos, Erica; Zhao, Bin; He, Yongqun

    2013-11-26

    Licensed human vaccines can induce various adverse events (AE) in vaccinated patients. Due to the involvement of the whole immune system and complex immunological reactions after vaccination, it is difficult to identify the relations among vaccines, adverse events, and human populations in different age groups. Many known vaccine adverse events (VAEs) have been recorded in the package inserts of US-licensed commercial vaccine products. To better represent and analyze VAEs, we developed the Ontology of Vaccine Adverse Events (OVAE) as an extension of the Ontology of Adverse Events (OAE) and the Vaccine Ontology (VO). Like OAE and VO, OVAE is aligned with the Basic Formal Ontology (BFO). The commercial vaccines and adverse events in OVAE are imported from VO and OAE, respectively. A new population term 'human vaccinee population' is generated and used to define VAE occurrence. An OVAE design pattern is developed to link vaccine, adverse event, vaccinee population, age range, and VAE occurrence. OVAE has been used to represent and classify the adverse events recorded in package insert documents of commercial vaccines licensed by the USA Food and Drug Administration (FDA). OVAE currently includes over 1,300 terms, including 87 distinct types of VAEs associated with 63 human vaccines licensed in the USA. For each vaccine, occurrence rates for every VAE in different age groups have been logically represented in OVAE. SPARQL scripts were developed to query and analyze the OVAE knowledge base data. To demonstrate the usage of OVAE, the top 10 vaccines accompanying with the highest numbers of VAEs and the top 10 VAEs most frequently observed among vaccines were identified and analyzed. Asserted and inferred ontology hierarchies classify VAEs in different levels of AE groups. Different VAE occurrences in different age groups were also analyzed. The ontology-based data representation and integration using the FDA-approved information from the vaccine package insert documents

  9. Immunology teaching by incorporating knowledge from theater and music

    Directory of Open Access Journals (Sweden)

    Martha Elisa Ferreira Almeida

    2015-12-01

    Full Text Available The Immunology knowledge is important to therapeutic prevention of several diseases. The aim of this study was present a teaching methodology of Immunology and verify its efficacy as the knowledge acquisition by the participants of an event. To assess the progress of knowledge by the participants as well the use of the play and sung music, each participant fill a questionnaire, containing ten questions, before and after the presentation. The results were evaluated by paired T test at 5%. In both types there was knowledge incorporation after the play activity because the notes after the event were statistically higher. The participants remained attentive and praised the event. The knowledge showed by most of participants was considered lower and regular before the event and after the ludic activities they showed higher grades which categorized knowledge as regular and high. It was concluded that the methodology used contributed with knowledge acquisition and could contribute with the cultural and social education of the participants.

  10. Inferring phylogenetic trees from the knowledge of rare evolutionary events.

    Science.gov (United States)

    Hellmuth, Marc; Hernandez-Rosales, Maribel; Long, Yangjing; Stadler, Peter F

    2018-06-01

    Rare events have played an increasing role in molecular phylogenetics as potentially homoplasy-poor characters. In this contribution we analyze the phylogenetic information content from a combinatorial point of view by considering the binary relation on the set of taxa defined by the existence of a single event separating two taxa. We show that the graph-representation of this relation must be a tree. Moreover, we characterize completely the relationship between the tree of such relations and the underlying phylogenetic tree. With directed operations such as tandem-duplication-random-loss events in mind we demonstrate how non-symmetric information constrains the position of the root in the partially reconstructed phylogeny.

  11. Disease management research using event graphs.

    Science.gov (United States)

    Allore, H G; Schruben, L W

    2000-08-01

    Event Graphs, conditional representations of stochastic relationships between discrete events, simulate disease dynamics. In this paper, we demonstrate how Event Graphs, at an appropriate abstraction level, also extend and organize scientific knowledge about diseases. They can identify promising treatment strategies and directions for further research and provide enough detail for testing combinations of new medicines and interventions. Event Graphs can be enriched to incorporate and validate data and test new theories to reflect an expanding dynamic scientific knowledge base and establish performance criteria for the economic viability of new treatments. To illustrate, an Event Graph is developed for mastitis, a costly dairy cattle disease, for which extensive scientific literature exists. With only a modest amount of imagination, the methodology presented here can be seen to apply modeling to any disease, human, plant, or animal. The Event Graph simulation presented here is currently being used in research and in a new veterinary epidemiology course. Copyright 2000 Academic Press.

  12. Knowledge Discovery in Spectral Data by Means of Complex Networks

    Directory of Open Access Journals (Sweden)

    Stefano Boccaletti

    2013-03-01

    Full Text Available In the last decade, complex networks have widely been applied to the study of many natural and man-made systems, and to the extraction of meaningful information from the interaction structures created by genes and proteins. Nevertheless, less attention has been devoted to metabonomics, due to the lack of a natural network representation of spectral data. Here we define a technique for reconstructing networks from spectral data sets, where nodes represent spectral bins, and pairs of them are connected when their intensities follow a pattern associated with a disease. The structural analysis of the resulting network can then be used to feed standard data-mining algorithms, for instance for the classification of new (unlabeled subjects. Furthermore, we show how the structure of the network is resilient to the presence of external additive noise, and how it can be used to extract relevant knowledge about the development of the disease.

  13. Safety and Mission Assurance Knowledge Management Retention: Managing Knowledge for Successful Mission Operations

    Science.gov (United States)

    Johnson, Teresa A.

    2006-01-01

    Knowledge Management is a proactive pursuit for the future success of any large organization faced with the imminent possibility that their senior managers/engineers with gained experiences and lessons learned plan to retire in the near term. Safety and Mission Assurance (S&MA) is proactively pursuing unique mechanism to ensure knowledge learned is retained and lessons learned captured and documented. Knowledge Capture Event/Activities/Management helps to provide a gateway between future retirees and our next generation of managers/engineers. S&MA hosted two Knowledge Capture Events during 2005 featuring three of its retiring fellows (Axel Larsen, Dave Whittle and Gary Johnson). The first Knowledge Capture Event February 24, 2005 focused on two Safety and Mission Assurance Safety Panels (Space Shuttle System Safety Review Panel (SSRP); Payload Safety Review Panel (PSRP) and the latter event December 15, 2005 featured lessons learned during Apollo, Skylab, and Space Shuttle which could be applicable in the newly created Crew Exploration Vehicle (CEV)/Constellation development program. Gemini, Apollo, Skylab and the Space Shuttle promised and delivered exciting human advances in space and benefits of space in people s everyday lives on earth. Johnson Space Center's Safety & Mission Assurance team work over the last 20 years has been mostly focused on operations we are now beginning the Exploration development program. S&MA will promote an atmosphere of knowledge sharing in its formal and informal cultures and work processes, and reward the open dissemination and sharing of information; we are asking "Why embrace relearning the "lessons learned" in the past?" On the Exploration program the focus will be on Design, Development, Test, & Evaluation (DDT&E); therefore, it is critical to understand the lessons from these past programs during the DDT&E phase.

  14. Derivation of Event-B Models from OWL Ontologies

    Directory of Open Access Journals (Sweden)

    Alkhammash Eman H.

    2016-01-01

    Full Text Available The derivation of formal specifications from large and complex requirements is a key challenge in systems engineering. In this paper we present an approach that aims to address this challenge by building formal models from OWL ontologies. An ontology is used in the field of knowledge representation to capture a clear view of the domain and to produce a concise and unambiguous set of domain requirements. We harness the power of ontologies to handle inconsistency of domain requirements and produce clear, concise and unambiguous set of domain requirements for Event-B modelling. The proposed approach works by generating Attempto Controlled English (ACE from the OWL ontology and then maps the ACE requirements to develop Event-B models. ACE is a subset of English that can be unambiguously translated into first-order logic. There is an injective mapping between OWL ontology and a subset of ACE. ACE is a suitable interlingua for producing the mapping between OWL and Event-B models for many reasons. Firstly, ACE is easy to learn and understand, it hides the math of OWL and would be natural to use by everybody. Secondly ACE has a parser that converts ACE texts into Discourse Representation Structures (DRS. Finally, ACE can be extended to target a richer syntactic subset of Event-B which ultimately would facilitate the translation of ACE requirements to Event-B.

  15. Knowledge representation and knowledge base design for operator advisor system

    International Nuclear Information System (INIS)

    Hangos, K.M.; Sziano, T.; Tapolcai, L.

    1990-01-01

    The problems of knowledge representation, knowledge base handling and design has been described for an Operator Advisor System in the Paks Nuclear Power Plant. The Operator Advisor System is to be implemented as a part of the 5th and 6th unit. The knowledge of the Operator Advisor system is described by a few elementary knowledge items (diagnostic event functions, fault graph, action trees), weighted directed graphs have been found as their common structure. List-type and relational representation of these graphs have been used for the on-line and off-line part of the knowledge base respectively. A uniform data base design and handling has been proposed which consists of a design system, a knowledge base editor and a knowledge base compiler

  16. Why Rules Matter in Complex Event Processing...and Vice Versa

    Science.gov (United States)

    Vincent, Paul

    Many commercial and research CEP solutions are moving beyond simple stream query languages to more complete definitions of "process" and thence to "decisions" and "actions". And as capabilities increase in event processing capabilities, there is an increasing realization that the humble "rule" is as relevant to the event cloud as it is to specific services. Less obvious is how much event processing has to offer the process and rule execution and management technologies. Does event processing change the way we should manage businesses, processes and services, together with their embedded (and hopefully managed) rulesets?

  17. A Reasoning Algorithm Embedded in a Knowledge Management System

    Directory of Open Access Journals (Sweden)

    Vasile Mazilescu

    2015-09-01

    Full Text Available The importance of this paper consists of demonstrating the possibility of employing an expert Knowledge Management System (KMS in problems of process control and planning, using imprecise knowledge. It was necessary to continuously adapt known models (e.g. theory of possibilities, discrete event systems to synthesize a control structure based on fuzzy knowledge. We also tried to conceptually develop a multi-agent real control structure, which is a solution to meet a series of demands on the complexity of the process control. Such systems, especially those based on communication between agents by sharing memory, bring up features well suited for real-time applications, such as: integration of heterogeneous agents, interaction between activities of acquisition, reasoning and action on the external environment, fusion of data coming from sensors of different nature and operation, flexibility and efficiency in the integration of new data needed for reasoning, by simply writing them in the common memory.

  18. A Comparison of Preschoolers' Memory, Knowledge, and Anticipation of Events

    Science.gov (United States)

    Quon, Elizabeth; Atance, Cristina M.

    2010-01-01

    This study examined the development of the episodic and semantic memory systems, with an emphasis on the emergence of the two aspects of the former: episodic memory (the ability to re-experience a past event) and episodic future thinking (the ability to pre-experience a future event). Three-, 4-, and 5-year olds were randomly assigned to one of…

  19. Integrating shallow and deep knowledge in the design of an on-line process monitoring system

    Energy Technology Data Exchange (ETDEWEB)

    Gallanti, M.; Gilardoni, L.; Guida, G.; Stefanini, A.; Tomada, L.

    1989-01-01

    Monitoring and malfunctions diagnosis of complex industrial plants involves, in addition to shallow empirical knowledge about plant operation, also deep knowledge about structure and function. This paper presents the results obtained in the design and experimentation of PROP and PROP-2 systems, devoted to on-line monitoring and diagnosis of pollution phenomena in the cycle water of a thermal power plant. In particular, it focuses on PROP-2 architecture, with encompasses a four-level hierarchical knowledge base including both empirical knowledge and a deep model of the plant. Shallow knowledge is represented by production rules and event-graphs (a formalism for expressing procedural knowledge), while deep knowledge is expressed using a representation language based on the concept of component. One major contribution of the proposed approach has been to show in a running experimental system that a suitable blend of shallow and deep knowledge can offer substantial advantages over a single paradigm.

  20. Tool for Constructing Data Albums for Significant Weather Events

    Science.gov (United States)

    Kulkarni, A.; Ramachandran, R.; Conover, H.; McEniry, M.; Goodman, H.; Zavodsky, B. T.; Braun, S. A.; Wilson, B. D.

    2012-12-01

    Case study analysis and climatology studies are common approaches used in Atmospheric Science research. Research based on case studies involves a detailed description of specific weather events using data from different sources, to characterize physical processes in play for a given event. Climatology-based research tends to focus on the representativeness of a given event, by studying the characteristics and distribution of a large number of events. To gather relevant data and information for case studies and climatology analysis is tedious and time consuming; current Earth Science data systems are not suited to assemble multi-instrument, multi mission datasets around specific events. For example, in hurricane science, finding airborne or satellite data relevant to a given storm requires searching through web pages and data archives. Background information related to damages, deaths, and injuries requires extensive online searches for news reports and official storm summaries. We will present a knowledge synthesis engine to create curated "Data Albums" to support case study analysis and climatology studies. The technological challenges in building such a reusable and scalable knowledge synthesis engine are several. First, how to encode domain knowledge in a machine usable form? This knowledge must capture what information and data resources are relevant and the semantic relationships between the various fragments of information and data. Second, how to extract semantic information from various heterogeneous sources including unstructured texts using the encoded knowledge? Finally, how to design a structured database from the encoded knowledge to store all information and to support querying? The structured database must allow both knowledge overviews of an event as well as drill down capability needed for detailed analysis. An application ontology driven framework is being used to design the knowledge synthesis engine. The knowledge synthesis engine is being

  1. Offside Decisions by Expert Assistant Referees in Association Football: Perception and Recall of Spatial Positions in Complex Dynamic Events

    Science.gov (United States)

    Gilis, Bart; Helsen, Werner; Catteeuw, Peter; Wagemans, Johan

    2008-01-01

    This study investigated the offside decision-making process in association football. The first aim was to capture the specific offside decision-making skills in complex dynamic events. Second, we analyzed the type of errors to investigate the factors leading to incorrect decisions. Federation Internationale de Football Association (FIFA; n = 29)…

  2. New U-Pb ages in the Diablillos Intrusive Complex, Southern Puna, Argentina: A long magmatic event in the Paleozoic Arc, SW Gondwana

    International Nuclear Information System (INIS)

    Ortiz, Agustin; Hauser, Natalia

    2015-01-01

    The Puna geological region comprises Salta, Jujuy and Catamarca provinces, northwestern Argentina. This 4000 meter above sea level high-plateau region lies between the Central Argentinian Andes. The Puna basement in the central Andes consists of Proterozoic–Paleozoic metamorphic rocks and granitoids. Diverse authors, proposed different models to explain the origin of the basement, where two orogenic events are recognized: the Pampean (Upper Precambrian–Lower Cambrian) and Famatinian (Upper Cambrian–Lower Silurian) (e.g. Ramos et al., 1986; Ramos, 1988; Loewy et al., 2004; for opposite points of view see Becchio et al., 1999; Bock et al., 2000; Buttner et al., 2005). Hence, Lucassen et al. (2000) proposed for the Central Andean basement, an evolution in a mobile belt, where the Pampean and Famatinian cycles are not distinct events but, they are one single, non-differentiable event from 600 to 400 Ma. The mobile belt culminated in low-P/ high-T metamorphism at approximately 525-500 Ma. Then, these were followed by a long-lasting high-thermal gradient regime in the mid-crust until Silurian times. Becchio et al., (2011) defined the Diablillos Intrusive Complex (CID, by its Spanish name), emplaced in the Inca Viejo Range. This range splits the Salares Ratones-Centenario with the Salar Diablillos (Fig.1). This Complex is located in the Eastern Magmatic Belt, Southern Puna, Argentina. Here we present new zircons U-Pb ages by LA-MC-ICPMS in the Diablillos Intrusive Complex, contributing to understanding the magmatic event in the lower Paleozoic arc, SW Gondwana. (author)

  3. New U-Pb ages in the Diablillos Intrusive Complex, Southern Puna, Argentina: A long magmatic event in the Paleozoic Arc, SW Gondwana

    Energy Technology Data Exchange (ETDEWEB)

    Ortiz, Agustin; Hauser, Natalia [Universidade de Brasilia (UnB), DF (Brazil). Instituto de Geociencias. Lab. de Geocronologia; Becchio, Raul; Nieves, Alexis; Suzano, Nestor [Universidad Nacional de Salta (UNSa)-CONICET, Salta (Argentina)

    2015-07-01

    The Puna geological region comprises Salta, Jujuy and Catamarca provinces, northwestern Argentina. This 4000 meter above sea level high-plateau region lies between the Central Argentinian Andes. The Puna basement in the central Andes consists of Proterozoic–Paleozoic metamorphic rocks and granitoids. Diverse authors, proposed different models to explain the origin of the basement, where two orogenic events are recognized: the Pampean (Upper Precambrian–Lower Cambrian) and Famatinian (Upper Cambrian–Lower Silurian) (e.g. Ramos et al., 1986; Ramos, 1988; Loewy et al., 2004; for opposite points of view see Becchio et al., 1999; Bock et al., 2000; Buttner et al., 2005). Hence, Lucassen et al. (2000) proposed for the Central Andean basement, an evolution in a mobile belt, where the Pampean and Famatinian cycles are not distinct events but, they are one single, non-differentiable event from 600 to 400 Ma. The mobile belt culminated in low-P/ high-T metamorphism at approximately 525-500 Ma. Then, these were followed by a long-lasting high-thermal gradient regime in the mid-crust until Silurian times. Becchio et al., (2011) defined the Diablillos Intrusive Complex (CID, by its Spanish name), emplaced in the Inca Viejo Range. This range splits the Salares Ratones-Centenario with the Salar Diablillos (Fig.1). This Complex is located in the Eastern Magmatic Belt, Southern Puna, Argentina. Here we present new zircons U-Pb ages by LA-MC-ICPMS in the Diablillos Intrusive Complex, contributing to understanding the magmatic event in the lower Paleozoic arc, SW Gondwana. (author)

  4. Knowledge sharing in a multicultural environment: challenges and opportunities

    Directory of Open Access Journals (Sweden)

    Luyanda Dube

    2012-12-01

    Full Text Available The article underscores the process of knowledge sharing in a multicultural organisational environment. Generally,multiculturalism emanates from being influenced by different contexts that provide the potential for human diversity. Itresults in disparate behavioural patterns and bodies of knowledge which lead to variance in terms of racial, sexual, ageand cultural orientations. The process of sharing knowledge is complex and is susceptible to multicultural variances.Considering that knowledge sharing processes and probable multicultural influences are contextual, the purpose of thearticle is to establish the extent of knowledge flows in the Department of Information Science at the University of SouthAfrica. In particular the article seeks to give an overall view on how knowledge is shared across intergenerational, culturaland interracial lines in the Department. The qualitative approach was considered appropriate for this study because itfocuses on observing events from the perspectives of those who are involved and is aimed at understanding the attitude,behaviour and opinions of those individuals (Powell & Connaway 2004. A basic interpretive qualitative research designwas used for this study. Data was collected through interviews and document analysis. The data were inductively analysedand the findings are presented and discussed using references to the literature that informed the study.

  5. 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

  6. Process Knowledge Summary Report for Materials and Fuels Complex Contact-Handled Transuranic Debris Waste

    Energy Technology Data Exchange (ETDEWEB)

    R. P. Grant; P. J. Crane; S. Butler; M. A. Henry

    2010-02-01

    This Process Knowledge Summary Report summarizes the information collected to satisfy the transportation and waste acceptance requirements for the transfer of transuranic (TRU) waste between the Materials and Fuels Complex (MFC) and the Advanced Mixed Waste Treatment Project (AMWTP). The information collected includes documentation that addresses the requirements for AMWTP and the applicable portion of their Resource Conservation and Recovery Act permits for receipt and treatment of TRU debris waste in AMWTP. This report has been prepared for contact-handled TRU debris waste generated by the Idaho National Laboratory at MFC. The TRU debris waste will be shipped to AMWTP for purposes of supercompaction. This Process Knowledge Summary Report includes information regarding, but not limited to, the generation process, the physical form, radiological characteristics, and chemical contaminants of the TRU debris waste, prohibited items, and packaging configuration. This report, along with the referenced supporting documents, will create a defensible and auditable record for waste originating from MFC.

  7. A primer of drug safety surveillance: an industry perspective. Part II: Product labeling and product knowledge.

    Science.gov (United States)

    Allan, M C

    1992-01-01

    To place the fundamentals of clinical drug safety surveillance in a conceptual framework that will facilitate understanding and application of adverse drug event data to protect the health of the public and support a market for pharmaceutical manufacturers' products. Part II of this series discusses specific issues regarding product labeling, such as developing the labeling, changing the labeling, and the legal as well as commercial ramifications of the contents of the labeling. An adverse event report scenario is further analyzed and suggestions are offered for maintaining the product labeling as an accurate reflection of the drug safety surveillance data. This article also emphasizes the necessity of product knowledge in adverse event database management. Both scientific and proprietary knowledge are required. Acquiring product knowledge is a part of the day-to-day activities of drug safety surveillance. A knowledge of the history of the product may forestall adverse publicity, as shown in the illustration. This review uses primary sources from the federal laws (regulations), commentaries, and summaries. Very complex topics are briefly summarized in the text. Secondary sources, ranging from newspaper articles to judicial summaries, illustrate the interpretation of adverse drug events and opportunities for drug safety surveillance intervention. The reference materials used were articles theoretically or practically applicable in the day-to-day practice of drug safety surveillance. The role of clinical drug safety surveillance in product monitoring and drug development is described. The process of drug safety surveillance is defined by the Food and Drug Administration regulations, product labeling, product knowledge, and database management. Database management is subdivided into the functions of receipt, retention, retrieval, and review of adverse event reports. Emphasis is placed on the dynamic interaction of the components of the process. Suggestions are offered

  8. 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.

  9. Knowledge repositories for multiple uses

    Science.gov (United States)

    Williamson, Keith; Riddle, Patricia

    1991-01-01

    In the life cycle of a complex physical device or part, for example, the docking bay door of the Space Station, there are many uses for knowledge about the device or part. The same piece of knowledge might serve several uses. Given the quantity and complexity of the knowledge that must be stored, it is critical to maintain the knowledge in one repository, in one form. At the same time, because of quantity and complexity of knowledge that must be used in life cycle applications such as cost estimation, re-design, and diagnosis, it is critical to automate such knowledge uses. For each specific use, a knowledge base must be available and must be in a from that promotes the efficient performance of that knowledge base. However, without a single source knowledge repository, the cost of maintaining consistent knowledge between multiple knowledge bases increases dramatically; as facts and descriptions change, they must be updated in each individual knowledge base. A use-neutral representation of a hydraulic system for the F-111 aircraft was developed. The ability to derive portions of four different knowledge bases is demonstrated from this use-neutral representation: one knowledge base is for re-design of the device using a model-based reasoning problem solver; two knowledge bases, at different levels of abstraction, are for diagnosis using a model-based reasoning solver; and one knowledge base is for diagnosis using an associational reasoning problem solver. It was shown how updates issued against the single source use-neutral knowledge repository can be propagated to the underlying knowledge bases.

  10. A Model of Human Decision Making in Complex Systems and its Use for Design of System Control Strategies

    DEFF Research Database (Denmark)

    Rasmussen, Jens; Lind, Morten

    The paper describes a model of operators' decision making in complex system control, based on studies of event reports and performance in control rooms. This study shows how operators base their decisions on knowledge of system properties at different levels of abstraction depending on their perc...... representation of system properties in a multilevel flow model is described to provide a basis for an integrated control system design.......The paper describes a model of operators' decision making in complex system control, based on studies of event reports and performance in control rooms. This study shows how operators base their decisions on knowledge of system properties at different levels of abstraction depending...... on their perception of the system's immediate control requirements. These levels correspond to the abstraction hierarchy including system purpose, functions, and physical details, which is generally used to describe a formal design process. In emergency situations the task of the operator is to design a suitable...

  11. A knowledge based system for plant diagnosis

    International Nuclear Information System (INIS)

    Motoda, H.; Yamada, N.; Yoshida, K.

    1984-01-01

    A knowledge based system for plant diagnosis is proposed in which both event-oriented and function-oriented knowledge are used. For the proposed system to be of practical use, these two types of knowledge are represented by mutually nested four frames, i.e. the component, causality, criteriality, and simulator frames, and production rules. The system provides fast inference capability for use as both a production system and a formal reasoning system, with uncertainty of knowledge taken into account in the former. Event-oriented knowledge is used in both diagnosis and guidance and function-oriented knowledge, in diagnosis only. The inference capability required is forward chaining in the former and resolution in the latter. The causality frame guides in the use of event-oriented knowledge, whereas the criteriality frame does so for function-oriented knowledge. Feedback nature of the plant requires the best first search algorithm that uses histories in the resolution process. The inference program is written in Lisp and the plant simulator and the process I/O control programs in Fortran. Fast data transfer between these two languages is realized by enhancing the memory management capability of Lisp to control the numerical data in the global memory. Simulation applications to a BWR plant demonstrated its diagnostic capability

  12. Factors affecting learning of vector math from computer-based practice: Feedback complexity and prior knowledge

    Directory of Open Access Journals (Sweden)

    Andrew F. Heckler

    2016-06-01

    Full Text Available In experiments including over 450 university-level students, we studied the effectiveness and time efficiency of several levels of feedback complexity in simple, computer-based training utilizing static question sequences. The learning domain was simple vector math, an essential skill in introductory physics. In a unique full factorial design, we studied the relative effects of “knowledge of correct response” feedback and “elaborated feedback” (i.e., a general explanation both separately and together. A number of other factors were analyzed, including training time, physics course grade, prior knowledge of vector math, and student beliefs about both their proficiency in and the importance of vector math. We hypothesize a simple model predicting how the effectiveness of feedback depends on prior knowledge, and the results confirm this knowledge-by-treatment interaction. Most notably, elaborated feedback is the most effective feedback, especially for students with low prior knowledge and low course grade. In contrast, knowledge of correct response feedback was less effective for low-performing students, and including both kinds of feedback did not significantly improve performance compared to elaborated feedback alone. Further, while elaborated feedback resulted in higher scores, the learning rate was at best only marginally higher because the training time was slightly longer. Training time data revealed that students spent significantly more time on the elaborated feedback after answering a training question incorrectly. Finally, we found that training improved student self-reported proficiency and that belief in the importance of the learned domain improved the effectiveness of training. Overall, we found that computer based training with static question sequences and immediate elaborated feedback in the form of simple and general explanations can be an effective way to improve student performance on a physics essential skill

  13. Event-based plausibility immediately influences on-line language comprehension.

    Science.gov (United States)

    Matsuki, Kazunaga; Chow, Tracy; Hare, Mary; Elman, Jeffrey L; Scheepers, Christoph; McRae, Ken

    2011-07-01

    In some theories of sentence comprehension, linguistically relevant lexical knowledge, such as selectional restrictions, is privileged in terms of the time-course of its access and influence. We examined whether event knowledge computed by combining multiple concepts can rapidly influence language understanding even in the absence of selectional restriction violations. Specifically, we investigated whether instruments can combine with actions to influence comprehension of ensuing patients of (as in Rayner, Warren, Juhuasz, & Liversedge, 2004; Warren & McConnell, 2007). Instrument-verb-patient triplets were created in a norming study designed to tap directly into event knowledge. In self-paced reading (Experiment 1), participants were faster to read patient nouns, such as hair, when they were typical of the instrument-action pair (Donna used the shampoo to wash vs. the hose to wash). Experiment 2 showed that these results were not due to direct instrument-patient relations. Experiment 3 replicated Experiment 1 using eyetracking, with effects of event typicality observed in first fixation and gaze durations on the patient noun. This research demonstrates that conceptual event-based expectations are computed and used rapidly and dynamically during on-line language comprehension. We discuss relationships among plausibility and predictability, as well as their implications. We conclude that selectional restrictions may be best considered as event-based conceptual knowledge rather than lexical-grammatical knowledge.

  14. Mesoscale Convective Complexes (MCCs) over the Indonesian Maritime Continent during the ENSO events

    Science.gov (United States)

    Trismidianto; Satyawardhana, H.

    2018-05-01

    This study analyzed the mesoscale convective complexes (MCCs) over the Indonesian Maritime Continent (IMC) during the El Niño/Southern Oscillation (ENSO) events for the the15-year period from 2001 to 2015. The MCCs identified by infrared satellite imagery that obtained from the Himawari generation satellite data. This study has reported that the frequencies of the MCC occurrences at the El Niño and La Niña were higher than that of neutral conditions during DJF. Peak of MCC occurrences during DJF at La Niña and neutral condition is in February, while El Niño is in January. ENSO strongly affects the occurrence of MCC during the DJF season. The existences of the MCC were also accompanied by increased rainfall intensity at the locations of the MCC occurrences for all ENSO events. During JJA seasons, the MCC occurrences are always found during neutral conditions, El Niño and La Niña in Indian Ocean. MCC occurring during the JJA season on El Niño and neutral conditions averaged much longer than during the DJF season. In contrast, MCCs occurring in La Niña conditions during the JJA season are more rapidly extinct than during the DJF. It indicates that the influence of MCC during La Niña during the DJF season is stronger than during the JJA season.

  15. Knowledge regarding fertility preservation in cancer patients: a population-based survey among Brazilian people during the Pink October awareness event.

    Science.gov (United States)

    Chehin, Mauricio B; Bonetti, Tatiana Cs; Serafini, Paulo C; Motta, Eduardo LA

    2017-06-01

    The aim of this study was to assess the knowledge about the risk of infertility in cancer patients after treatment, and the options for fertility preservation based on a survey carried out during the 2013 Pink October campaign. This survey was carried out during the 2013 Pink October event in the most important public park of São Paulo, Brazil. Approximately 900 people expressed interest in learning about breast cancer prevention and fertility preservation by participating in workshops, and 242 people filled out a questionnaire. Most of the respondents (78.5%) were women, and one-fourth (25%) had at least one relative with gynecological cancer. Among women over 40 years of age, 86.3% had been screened for breast cancer at some point. However, few participants (34.0%) were aware that cancer treatment can lead to infertility or had heard about fertility preservation options (22.0%). Having a relative with cancer did not influence their knowledge about fertility preservation (22.4% versus 21.3%; p=0.864). However, a higher educational level was significantly associated with more knowledge about the effects of cancer on fertility and options for fertility preservation. The majority of participants did not have knowledge about the impact of oncologic treatment on fertility and did not know that there are options to preserve fertility in cancer patients. Awareness of infertility risk factors is an essential first step to safeguard future fertility, and therefore, more educational initiatives are needed to spread knowledge about oncofertility.

  16. Impact of Cognitive Abilities and Prior Knowledge on Complex Problem Solving Performance – Empirical Results and a Plea for Ecologically Valid Microworlds

    Directory of Open Access Journals (Sweden)

    Heinz-Martin Süß

    2018-05-01

    Full Text Available The original aim of complex problem solving (CPS research was to bring the cognitive demands of complex real-life problems into the lab in order to investigate problem solving behavior and performance under controlled conditions. Up until now, the validity of psychometric intelligence constructs has been scrutinized with regard to its importance for CPS performance. At the same time, different CPS measurement approaches competing for the title of the best way to assess CPS have been developed. In the first part of the paper, we investigate the predictability of CPS performance on the basis of the Berlin Intelligence Structure Model and Cattell’s investment theory as well as an elaborated knowledge taxonomy. In the first study, 137 students managed a simulated shirt factory (Tailorshop; i.e., a complex real life-oriented system twice, while in the second study, 152 students completed a forestry scenario (FSYS; i.e., a complex artificial world system. The results indicate that reasoning – specifically numerical reasoning (Studies 1 and 2 and figural reasoning (Study 2 – are the only relevant predictors among the intelligence constructs. We discuss the results with reference to the Brunswik symmetry principle. Path models suggest that reasoning and prior knowledge influence problem solving performance in the Tailorshop scenario mainly indirectly. In addition, different types of system-specific knowledge independently contribute to predicting CPS performance. The results of Study 2 indicate that working memory capacity, assessed as an additional predictor, has no incremental validity beyond reasoning. We conclude that (1 cognitive abilities and prior knowledge are substantial predictors of CPS performance, and (2 in contrast to former and recent interpretations, there is insufficient evidence to consider CPS a unique ability construct. In the second part of the paper, we discuss our results in light of recent CPS research, which predominantly

  17. Impact of Cognitive Abilities and Prior Knowledge on Complex Problem Solving Performance – Empirical Results and a Plea for Ecologically Valid Microworlds

    Science.gov (United States)

    Süß, Heinz-Martin; Kretzschmar, André

    2018-01-01

    The original aim of complex problem solving (CPS) research was to bring the cognitive demands of complex real-life problems into the lab in order to investigate problem solving behavior and performance under controlled conditions. Up until now, the validity of psychometric intelligence constructs has been scrutinized with regard to its importance for CPS performance. At the same time, different CPS measurement approaches competing for the title of the best way to assess CPS have been developed. In the first part of the paper, we investigate the predictability of CPS performance on the basis of the Berlin Intelligence Structure Model and Cattell’s investment theory as well as an elaborated knowledge taxonomy. In the first study, 137 students managed a simulated shirt factory (Tailorshop; i.e., a complex real life-oriented system) twice, while in the second study, 152 students completed a forestry scenario (FSYS; i.e., a complex artificial world system). The results indicate that reasoning – specifically numerical reasoning (Studies 1 and 2) and figural reasoning (Study 2) – are the only relevant predictors among the intelligence constructs. We discuss the results with reference to the Brunswik symmetry principle. Path models suggest that reasoning and prior knowledge influence problem solving performance in the Tailorshop scenario mainly indirectly. In addition, different types of system-specific knowledge independently contribute to predicting CPS performance. The results of Study 2 indicate that working memory capacity, assessed as an additional predictor, has no incremental validity beyond reasoning. We conclude that (1) cognitive abilities and prior knowledge are substantial predictors of CPS performance, and (2) in contrast to former and recent interpretations, there is insufficient evidence to consider CPS a unique ability construct. In the second part of the paper, we discuss our results in light of recent CPS research, which predominantly utilizes the

  18. Complex reassortment events of unusual G9P[4] rotavirus strains in India between 2011 and 2013.

    Science.gov (United States)

    Doan, Yen Hai; Suzuki, Yoshiyuki; Fujii, Yoshiki; Haga, Kei; Fujimoto, Akira; Takai-Todaka, Reiko; Someya, Yuichi; Nayak, Mukti K; Mukherjee, Anupam; Imamura, Daisuke; Shinoda, Sumio; Chawla-Sarkar, Mamta; Katayama, Kazuhiko

    2017-10-01

    Rotavirus A (RVA) is the predominant etiological agent of acute gastroenteritis in young children worldwide. Recently, unusual G9P[4] rotavirus strains emerged with high prevalence in many countries. Such intergenogroup reassortant strains highlight the ongoing spread of unusual rotavirus strains throughout Asia. This study was undertaken to determine the whole genome of eleven unusual G9P[4] strains detected in India during 2011-2013, and to compare them with other human and animal global RVAs to understand the exact origin of unusual G9P[4] circulating in India and other countries worldwide. Of these 11 RVAs, four G9P[4] strains were double-reassortants with the G9-VP7 and E6-NSP4 genes on a DS-1-like genetic backbone (G9-P[4]-I2-R2-C2-M2-A2-N2-T2-E6-H2). The other strains showed a complex genetic constellation, likely derived from triple reassortment event with the G9-VP7, N1-NSP2 and E6-NSP4 on a DS-1-like genetic backbone (G9-P[4]-I2-R2-C2-M2-A2-N1-T2-E6-H2). Presumably, these unusual G9P[4] strains were generated after several reassortment events between the contemporary co-circulating human rotavirus strains. Moreover, the point mutation S291L at the interaction site between inner and outer capsid proteins of VP6 gene may be important in the rapid spread of this unusual strain. The complex reassortment events within the G9[4] strains may be related to the high prevalence of mixed infections in India as reported in this study and other previous studies. Copyright © 2017. Published by Elsevier B.V.

  19. Learning from simple ebooks, online cases or classroom teaching when acquiring complex knowledge. A randomized controlled trial in respiratory physiology and pulmonology.

    Science.gov (United States)

    Worm, Bjarne Skjødt

    2013-01-01

    E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method.

  20. Learning from simple ebooks, online cases or classroom teaching when acquiring complex knowledge. A randomized controlled trial in respiratory physiology and pulmonology.

    Directory of Open Access Journals (Sweden)

    Bjarne Skjødt Worm

    Full Text Available BACKGROUND AND AIMS: E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. METHODS: 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. RESULTS: For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01. The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001, while the eCase group spent significantly more time on the subject (53 minutes, p<0.001 and logged into the system significantly more (2.8 vs 1.6, p<0.001. CONCLUSIONS: E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method.

  1. Why Knowledge Modeling is Important for Business and for a Danish Terminology and Knowledge Bank

    DEFF Research Database (Denmark)

    Erdman Thomsen, Hanne; Madsen, Bodil Nistrup

    2011-01-01

    Businesses and organizations, including public authorities, have a growing need for organizing and handling large amounts of data. In order to manage complex knowledge, knowledge must be modeled and structured. One very powerful method used for structuring knowledge is the use of ontologies. Busi...... the foundation for a national terminology and knowledge bank. Furthermore, I will briefly introduce our plans for teaching within the field of knowledge modeling at Copenhagen Business School, CBS......., and possibly other languages, so information must be freely retrievable and communicable in several languages. In this paper I will give examples of why knowledge modeling is important for businesses, and why knowledge modeling is a central part of the DanTermBank project, the aim of which is to lay......Businesses and organizations, including public authorities, have a growing need for organizing and handling large amounts of data. In order to manage complex knowledge, knowledge must be modeled and structured. One very powerful method used for structuring knowledge is the use of ontologies...

  2. Temporary Clusters and Knowledge Creation

    DEFF Research Database (Denmark)

    Maskell, Peter; Bathelt, Harald; Malmberg, Anders

    2004-01-01

    or participating in such events are means toidentify the current market frontier, take stock of relative competitive positions and formfuture plans. These events exhibit many of the characteristics ascribed to permanentclusters, albeit in a temporary, periodic and intensified form. The temporary clusters...... arehotspots of intense knowledge exchange, network building and idea generation.In investigating the extent and nature of these phenomena, the present paper explores anumber of issues. First, it shows that international trade fairs and other professionalgatherings are events which enable firms to compare...... their own products with others whichare available to the world market. Comparisons to and interactions with other firmsstimulate processes of knowledge creation. Second, it demonstrates how trade fairs areimportant for firms when selecting partners with whom to develop global pipelines,enabling access...

  3. The concurrent use of three implicit measures (eye movements, pupillometry, and event-related potentials) to assess receptive vocabulary knowledge in normal adults.

    Science.gov (United States)

    Ledoux, Kerry; Coderre, Emily; Bosley, Laura; Buz, Esteban; Gangopadhyay, Ishanti; Gordon, Barry

    2016-03-01

    Recent years have seen the advent and proliferation of the use of implicit techniques to study learning and cognition. One such application is the use of event-related potentials (ERPs) to assess receptive vocabulary knowledge. Other implicit assessment techniques that may be well-suited to other testing situations or to use with varied participant groups have not been used as widely to study receptive vocabulary knowledge. We sought to develop additional implicit techniques to study receptive vocabulary knowledge that could augment the knowledge gained from the use of the ERP technique. Specifically, we used a simple forced-choice paradigm to assess receptive vocabulary knowledge in normal adult participants using eye movement monitoring (EM) and pupillometry. In the same group of participants, we also used an N400 semantic incongruity ERP paradigm to assess their knowledge of two groups of words: those expected to be known to the participants (high-frequency, familiar words) and those expected to be unknown (low-frequency, unfamiliar words). All three measures showed reliable differences between the known and unknown words. EM and pupillometry thus may provide insight into receptive vocabulary knowledge similar to that from ERPs. The development of additional implicit assessment techniques may increase the feasibility of receptive vocabulary testing across a wider range of participant groups and testing situations, and may make the conduct of such testing more accessible to a wider range of researchers, clinicians, and educators.

  4. Biased processing of threat-related information rather than knowledge deficits contributes to overestimation of threat in obsessive-compulsive disorder.

    Science.gov (United States)

    Moritz, Steffen; Pohl, Rüdiger F

    2009-11-01

    Overestimation of threat (OET) has been implicated in the pathogenesis of obsessive-compulsive disorder (OCD). The present study deconstructed this complex concept and looked for specific deviances in OCD relative to controls. A total of 46 participants with OCD and 51 nonclinical controls were asked: (a) to estimate the incidence rate for 20 events relating to washing, checking, positive, or negative incidents. Furthermore, they were required (b) to assess their personal vulnerability to experience each event type, and (c) to judge the degree of accompanying worry. Later, participants were confronted with the correct statistics and asked (d) to rate their degree of worry versus relief. OCD participants did not provide higher estimates for OCD-related events than healthy participants, thus rendering a knowledge deficit unlikely. The usual unrealistic optimism bias was found in both groups but was markedly attenuated in OCD participants. OCD-related events worried OCD participants more than controls. Confrontation with the correct statistics appeased OCD participants less than healthy participants. Even in the case of large initial overestimations for OCD-related events, correct information appeased OCD participants significantly less than healthy participants. Our results suggest that OCD is not associated with a knowledge deficit regarding OCD-related events but that patients feel personally more vulnerable than nonclinical controls.

  5. Corpuscular event-by-event simulation of quantum optics experiments : application to a quantum-controlled delayed-choice experiment

    NARCIS (Netherlands)

    De Raedt, Hans; Delina, M; Jin, Fengping; Michielsen, Kristel

    2012-01-01

    A corpuscular simulation model of optical phenomena that does not require knowledge of the solution of a wave equation of the whole system and reproduces the results of Maxwell's theory by generating detection events one by one is discussed. The event-based corpuscular model gives a unified

  6. Knowledge based maintenance

    Energy Technology Data Exchange (ETDEWEB)

    Sturm, A [Hamburgische Electacitaets-Werke AG Hamburg (Germany)

    1998-12-31

    The establishment of maintenance strategies is of crucial significance for the reliability of a plant and the economic efficiency of maintenance measures. Knowledge about the condition of components and plants from the technical and business management point of view therefore becomes one of the fundamental questions and the key to efficient management and maintenance. A new way to determine the maintenance strategy can be called: Knowledge Based Maintenance. A simple method for determining strategies while taking the technical condition of the components of the production process into account to the greatest possible degree which can be shown. A software with an algorithm for Knowledge Based Maintenance leads the user during complex work to the determination of maintenance strategies for this complex plant components. (orig.)

  7. Knowledge based maintenance

    Energy Technology Data Exchange (ETDEWEB)

    Sturm, A. [Hamburgische Electacitaets-Werke AG Hamburg (Germany)

    1997-12-31

    The establishment of maintenance strategies is of crucial significance for the reliability of a plant and the economic efficiency of maintenance measures. Knowledge about the condition of components and plants from the technical and business management point of view therefore becomes one of the fundamental questions and the key to efficient management and maintenance. A new way to determine the maintenance strategy can be called: Knowledge Based Maintenance. A simple method for determining strategies while taking the technical condition of the components of the production process into account to the greatest possible degree which can be shown. A software with an algorithm for Knowledge Based Maintenance leads the user during complex work to the determination of maintenance strategies for this complex plant components. (orig.)

  8. Controlling spatio-temporal extreme events by decreasing the localized energy

    International Nuclear Information System (INIS)

    Du Lin; Xu Wei; Li Zhanguo; Zhou Bingchang

    2011-01-01

    The problem of controlling extreme events in spatially extended dynamical systems is investigated in this Letter. Based on observations of the system state, the control technique we proposed locally decreases the spatial energy of the amplitude in the vicinity of the highest burst, without needs of any knowledge or prediction of the system model. Considering the specific Complex Ginzburg-Landau equation, we provide theoretical analysis for designing the localized state feedback controller. More exactly, a simple control law by varying a damping parameter at control region is chose to achieve the control. Numerical simulations and statistic analysis demonstrate that extreme events can be efficiently suppressed by our strategy. In particular, the cost of the control and the tolerant time delay in applying the control is considered in detail. - Highlights: → We propose a local control scheme to suppress spatio-temporal extreme events. → The control is address by decreasing the spatial energy of the system locally. → The detail control law is to apply localized state feedback based on observations. → The cost of the control increases with the size of the control region exponentially. → The tolerant delay of the control is about 5-6 times of lifetime of extreme events.

  9. Pre-attentive processing of spectrally complex sounds with asynchronous onsets: an event-related potential study with human subjects.

    Science.gov (United States)

    Tervaniemi, M; Schröger, E; Näätänen, R

    1997-05-23

    Neuronal mechanisms involved in the processing of complex sounds with asynchronous onsets were studied in reading subjects. The sound onset asynchrony (SOA) between the leading partial and the remaining complex tone was varied between 0 and 360 ms. Infrequently occurring deviant sounds (in which one out of 10 harmonics was different in pitch relative to the frequently occurring standard sound) elicited the mismatch negativity (MMN), a change-specific cortical event-related potential (ERP) component. This indicates that the pitch of standard stimuli had been pre-attentively coded by sensory-memory traces. Moreover, when the complex-tone onset fell within temporal integration window initiated by the leading-partial onset, the deviants elicited the N2b component. This indexes that involuntary attention switch towards the sound change occurred. In summary, the present results support the existence of pre-perceptual integration mechanism of 100-200 ms duration and emphasize its importance in switching attention towards the stimulus change.

  10. The current status of the Lutzomyia longipalpis (Diptera: Psychodidae: Phlebotominae) species complex.

    Science.gov (United States)

    Souza, Nataly A; Brazil, Reginaldo P; Araki, Alejandra S

    2017-03-01

    Lutzomyia longipalpis s.l. is a complex of sibling species and is the principal vector of American visceral leishmaniasis. The present review summarises the diversity of efforts that have been undertaken to elucidate the number of unnamed species in this species complex and the phylogenetic relationships among them. A wide variety of evidence, including chemical, behavioral and molecular traits, suggests very recent speciation events and complex population structure in this group. Although significant advances have been achieved to date, differential vector capacity and the correlation between structure of parasite and vector populations have yet to be elucidated. Furthermore, increased knowledge about recent epidemiological changes, such as urbanisation, is essential for pursuing effective strategies for sandfly control in the New World.

  11. Physical Complexity and Cognitive Evolution

    Science.gov (United States)

    Jedlicka, Peter

    Our intuition tells us that there is a general trend in the evolution of nature, a trend towards greater complexity. However, there are several definitions of complexity and hence it is difficult to argue for or against the validity of this intuition. Christoph Adami has recently introduced a novel measure called physical complexity that assigns low complexity to both ordered and random systems and high complexity to those in between. Physical complexity measures the amount of information that an organism stores in its genome about the environment in which it evolves. The theory of physical complexity predicts that evolution increases the amount of `knowledge' an organism accumulates about its niche. It might be fruitful to generalize Adami's concept of complexity to the entire evolution (including the evolution of man). Physical complexity fits nicely into the philosophical framework of cognitive biology which considers biological evolution as a progressing process of accumulation of knowledge (as a gradual increase of epistemic complexity). According to this paradigm, evolution is a cognitive `ratchet' that pushes the organisms unidirectionally towards higher complexity. Dynamic environment continually creates problems to be solved. To survive in the environment means to solve the problem, and the solution is an embodied knowledge. Cognitive biology (as well as the theory of physical complexity) uses the concepts of information and entropy and views the evolution from both the information-theoretical and thermodynamical perspective. Concerning humans as conscious beings, it seems necessary to postulate an emergence of a new kind of knowledge - a self-aware and self-referential knowledge. Appearence of selfreflection in evolution indicates that the human brain reached a new qualitative level in the epistemic complexity.

  12. From the political here and now to generalizable knowledge

    NARCIS (Netherlands)

    Brandt, M.J.; Wagemans, F.M.A.

    2017-01-01

    Political psychology is an exciting field because it is directly and immediately relevant to current events. This feature of the field is also a drawback because it can unintentionally limit the knowledge of the field to current events and prevent the development of generalizable knowledge. We

  13. [Is a patient's knowledge of cardiovascular risk factors better after the occurrence of a major ischemic event? Survey of 135 cases and 260 controls].

    Science.gov (United States)

    Lensel, A-S; Lermusiaux, P; Boileau, C; Feugier, P; Sérusclat, A; Zerbib, Y; Ninet, J

    2013-12-01

    We hypothezised that patients (cases) who are hospitalized for a major ischemic event--myocardial infarction, stroke, decompensation of peripheral arterial disease--acquire better knowledge than a control population--atheromatous patients without a major ischemic event, patients consulting for a vein disease or a diabetes evaluation, and accompanists--about cardiovascular risk factors (smoking, hypertension, diabetes, dyslipidemia, obesity) and have a better understanding of the usefulness of making changes in their lifestyle (quit smoking, regular exercise, Mediterranean diet, low salt diet, weight control, diabetes care). A questionnaire was proposed at vascular surgery consultations and vascular and cardiac functional explorations, at the M Pavillon of the Édouard-Herriot hospital, Lyon, France. In five months, 395 questionnaires (135 cases and 260 controls) were analyzed. The global knowledge score was statistically higher for cases than for controls (cases 3.23±1.81; controls 2.77±2.03; P=0.037). Cases did not abide by monitoring and dietary rules better, except as regards the management of diabetes. Regular physical activity was statistically more prevalent among controls than among cases. Cases mainly received their information from their doctors (general practitioner for 59% of controls and 78% of cases, cardiologist for 25% of controls and 57% of cases) while controls got their information more through magazines or advertising. Our results show that after a major ischemic event, cases' knowledge of risk factors is better than the rest of the population without improved rules lifestyle changes. This suggests the usefulness of evaluating a therapeutic education program for atheromatous disease. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

  14. ADEpedia: a scalable and standardized knowledge base of Adverse Drug Events using semantic web technology.

    Science.gov (United States)

    Jiang, Guoqian; Solbrig, Harold R; Chute, Christopher G

    2011-01-01

    A source of semantically coded Adverse Drug Event (ADE) data can be useful for identifying common phenotypes related to ADEs. We proposed a comprehensive framework for building a standardized ADE knowledge base (called ADEpedia) through combining ontology-based approach with semantic web technology. The framework comprises four primary modules: 1) an XML2RDF transformation module; 2) a data normalization module based on NCBO Open Biomedical Annotator; 3) a RDF store based persistence module; and 4) a front-end module based on a Semantic Wiki for the review and curation. A prototype is successfully implemented to demonstrate the capability of the system to integrate multiple drug data and ontology resources and open web services for the ADE data standardization. A preliminary evaluation is performed to demonstrate the usefulness of the system, including the performance of the NCBO annotator. In conclusion, the semantic web technology provides a highly scalable framework for ADE data source integration and standard query service.

  15. Sound knowledge

    DEFF Research Database (Denmark)

    Kauffmann, Lene Teglhus

    as knowledge based on reflexive practices. I chose ‘health promotion’ as the field for my research as it utilises knowledge produced in several research disciplines, among these both quantitative and qualitative. I mapped out the institutions, actors, events, and documents that constituted the field of health...... of the research is to investigate what is considered to ‘work as evidence’ in health promotion and how the ‘evidence discourse’ influences social practices in policymaking and in research. From investigating knowledge practices in the field of health promotion, I develop the concept of sound knowledge...... result of a rigorous and standardized research method. However, this anthropological analysis shows that evidence and evidence-based is a hegemonic ‘way of knowing’ that sometimes transposes everyday reasoning into an epistemological form. However, the empirical material shows a variety of understandings...

  16. Concussion As a Multi-Scale Complex System: An Interdisciplinary Synthesis of Current Knowledge

    Directory of Open Access Journals (Sweden)

    Erin S. Kenzie

    2017-09-01

    Full Text Available Traumatic brain injury (TBI has been called “the most complicated disease of the most complex organ of the body” and is an increasingly high-profile public health issue. Many patients report long-term impairments following even “mild” injuries, but reliable criteria for diagnosis and prognosis are lacking. Every clinical trial for TBI treatment to date has failed to demonstrate reliable and safe improvement in outcomes, and the existing body of literature is insufficient to support the creation of a new classification system. Concussion, or mild TBI, is a highly heterogeneous phenomenon, and numerous factors interact dynamically to influence an individual’s recovery trajectory. Many of the obstacles faced in research and clinical practice related to TBI and concussion, including observed heterogeneity, arguably stem from the complexity of the condition itself. To improve understanding of this complexity, we review the current state of research through the lens provided by the interdisciplinary field of systems science, which has been increasingly applied to biomedical issues. The review was conducted iteratively, through multiple phases of literature review, expert interviews, and systems diagramming and represents the first phase in an effort to develop systems models of concussion. The primary focus of this work was to examine concepts and ways of thinking about concussion that currently impede research design and block advancements in care of TBI. Results are presented in the form of a multi-scale conceptual framework intended to synthesize knowledge across disciplines, improve research design, and provide a broader, multi-scale model for understanding concussion pathophysiology, classification, and treatment.

  17. Knowledge Representation and Ontologies

    Science.gov (United States)

    Grimm, Stephan

    Knowledge representation and reasoning aims at designing computer systems that reason about a machine-interpretable representation of the world. Knowledge-based systems have a computational model of some domain of interest in which symbols serve as surrogates for real world domain artefacts, such as physical objects, events, relationships, etc. [1]. The domain of interest can cover any part of the real world or any hypothetical system about which one desires to represent knowledge for com-putational purposes. A knowledge-based system maintains a knowledge base, which stores the symbols of the computational model in the form of statements about the domain, and it performs reasoning by manipulating these symbols. Applications can base their decisions on answers to domain-relevant questions posed to a knowledge base.

  18. Event-by-event simulation of single-neutron experiments to test uncertainty relations

    International Nuclear Information System (INIS)

    Raedt, H De; Michielsen, K

    2014-01-01

    Results from a discrete-event simulation of a recent single-neutron experiment that tests Ozawa's generalization of Heisenberg's uncertainty relation are presented. The event-based simulation algorithm reproduces the results of the quantum theoretical description of the experiment but does not require the knowledge of the solution of a wave equation, nor does it rely on detailed concepts of quantum theory. In particular, the data from these non-quantum simulations satisfy uncertainty relations derived in the context of quantum theory. (paper)

  19. Words analysis of online Chinese news headlines about trending events: a complex network perspective.

    Science.gov (United States)

    Li, Huajiao; Fang, Wei; An, Haizhong; Huang, Xuan

    2015-01-01

    Because the volume of information available online is growing at breakneck speed, keeping up with meaning and information communicated by the media and netizens is a new challenge both for scholars and for companies who must address public relations crises. Most current theories and tools are directed at identifying one website or one piece of online news and do not attempt to develop a rapid understanding of all websites and all news covering one topic. This paper represents an effort to integrate statistics, word segmentation, complex networks and visualization to analyze headlines' keywords and words relationships in online Chinese news using two samples: the 2011 Bohai Bay oil spill and the 2010 Gulf of Mexico oil spill. We gathered all the news headlines concerning the two trending events in the search results from Baidu, the most popular Chinese search engine. We used Simple Chinese Word Segmentation to segment all the headlines into words and then took words as nodes and considered adjacent relations as edges to construct word networks both using the whole sample and at the monthly level. Finally, we develop an integrated mechanism to analyze the features of words' networks based on news headlines that can account for all the keywords in the news about a particular event and therefore track the evolution of news deeply and rapidly.

  20. Words analysis of online Chinese news headlines about trending events: a complex network perspective.

    Directory of Open Access Journals (Sweden)

    Huajiao Li

    Full Text Available Because the volume of information available online is growing at breakneck speed, keeping up with meaning and information communicated by the media and netizens is a new challenge both for scholars and for companies who must address public relations crises. Most current theories and tools are directed at identifying one website or one piece of online news and do not attempt to develop a rapid understanding of all websites and all news covering one topic. This paper represents an effort to integrate statistics, word segmentation, complex networks and visualization to analyze headlines' keywords and words relationships in online Chinese news using two samples: the 2011 Bohai Bay oil spill and the 2010 Gulf of Mexico oil spill. We gathered all the news headlines concerning the two trending events in the search results from Baidu, the most popular Chinese search engine. We used Simple Chinese Word Segmentation to segment all the headlines into words and then took words as nodes and considered adjacent relations as edges to construct word networks both using the whole sample and at the monthly level. Finally, we develop an integrated mechanism to analyze the features of words' networks based on news headlines that can account for all the keywords in the news about a particular event and therefore track the evolution of news deeply and rapidly.

  1. Nonlinear impacts of small-scale natural events on Nineteenth Century human decision-making

    Science.gov (United States)

    McCormack, S. M.; Schlichting, K. M.; Urbanova, T.; Allen, T. L.; Ruffing, C. M.; Hermans, C. M.

    2009-12-01

    Natural climatological events that occurred throughout the Nineteenth Century, such as floods, droughts and hurricanes had long-lived, far-reaching consequences on the human decision-making processes occurring in the northeast United States. These events impacted the hydrological cycle, both directly -though the building of various structures- and indirectly - through an increased understanding of science; and the changing relationship between humans and their environment. This paper examines these events and associated processes through: 1) identifying specific natural events throughout the time period, occurring globally, with initial conditions conducive to long-lived consequences; 2) examining the relationship between scientific enquiry, natural events and the proliferation of dams in the northeast landscape; and 3) the growth of public health concerns, awareness of bacteriology, and municipal water supply systems. Results of this research indicate that the relationship between knowledge systems, natural events and subsequent engineering or technological fixes is complex and highly dependent on initial conditions. It highlights the time period where humans became increasingly dependent on engineered solutions to environmental problems, many of which still hold fast in our contemporary landscape. It is relevant to natural, social and governance structures in place today. The principles behind the occurrence of the natural phenomena and subsequent research and design have not changed; and understanding key events or stages in the past is tantamount to making predictions for the future.

  2. PASBio: predicate-argument structures for event extraction in molecular biology

    Science.gov (United States)

    Wattarujeekrit, Tuangthong; Shah, Parantu K; Collier, Nigel

    2004-01-01

    Background The exploitation of information extraction (IE), a technology aiming to provide instances of structured representations from free-form text, has been rapidly growing within the molecular biology (MB) research community to keep track of the latest results reported in literature. IE systems have traditionally used shallow syntactic patterns for matching facts in sentences but such approaches appear inadequate to achieve high accuracy in MB event extraction due to complex sentence structure. A consensus in the IE community is emerging on the necessity for exploiting deeper knowledge structures such as through the relations between a verb and its arguments shown by predicate-argument structure (PAS). PAS is of interest as structures typically correspond to events of interest and their participating entities. For this to be realized within IE a key knowledge component is the definition of PAS frames. PAS frames for non-technical domains such as newswire are already being constructed in several projects such as PropBank, VerbNet, and FrameNet. Knowledge from PAS should enable more accurate applications in several areas where sentence understanding is required like machine translation and text summarization. In this article, we explore the need to adapt PAS for the MB domain and specify PAS frames to support IE, as well as outlining the major issues that require consideration in their construction. Results We introduce PASBio by extending a model based on PropBank to the MB domain. The hypothesis we explore is that PAS holds the key for understanding relationships describing the roles of genes and gene products in mediating their biological functions. We chose predicates describing gene expression, molecular interactions and signal transduction events with the aim of covering a number of research areas in MB. Analysis was performed on sentences containing a set of verbal predicates from MEDLINE and full text journals. Results confirm the necessity to analyze

  3. Relations among conceptual knowledge, procedural knowledge, and procedural flexibility in two samples differing in prior knowledge.

    Science.gov (United States)

    Schneider, Michael; Rittle-Johnson, Bethany; Star, Jon R

    2011-11-01

    Competence in many domains rests on children developing conceptual and procedural knowledge, as well as procedural flexibility. However, research on the developmental relations between these different types of knowledge has yielded unclear results, in part because little attention has been paid to the validity of the measures or to the effects of prior knowledge on the relations. To overcome these problems, we modeled the three constructs in the domain of equation solving as latent factors and tested (a) whether the predictive relations between conceptual and procedural knowledge were bidirectional, (b) whether these interrelations were moderated by prior knowledge, and (c) how both constructs contributed to procedural flexibility. We analyzed data from 2 measurement points each from two samples (Ns = 228 and 304) of middle school students who differed in prior knowledge. Conceptual and procedural knowledge had stable bidirectional relations that were not moderated by prior knowledge. Both kinds of knowledge contributed independently to procedural flexibility. The results demonstrate how changes in complex knowledge structures contribute to competence development.

  4. Knowledge acquisition for temporal abstraction.

    Science.gov (United States)

    Stein, A; Musen, M A; Shahar, Y

    1996-01-01

    Temporal abstraction is the task of detecting relevant patterns in data over time. The knowledge-based temporal-abstraction method uses knowledge about a clinical domain's contexts, external events, and parameters to create meaningful interval-based abstractions from raw time-stamped clinical data. In this paper, we describe the acquisition and maintenance of domain-specific temporal-abstraction knowledge. Using the PROTEGE-II framework, we have designed a graphical tool for acquiring temporal knowledge directly from expert physicians, maintaining the knowledge in a sharable form, and converting the knowledge into a suitable format for use by an appropriate problem-solving method. In initial tests, the tool offered significant gains in our ability to rapidly acquire temporal knowledge and to use that knowledge to perform automated temporal reasoning.

  5. An expert system for prevention of abnormal event recurrence

    International Nuclear Information System (INIS)

    Nishiyama, Takuya

    1990-01-01

    A huge amount of information related to abnormal events occurring in nuclear power plants in Japan and abroad is collected and accumulated in the Nuclear Information Center at CRIEPI. This information contains a variety of knowledge which may be useful for prevention of similar trouble. An expert system named, 'Consultation System for Prevention of Abnormal-Event Recurrence (CSPAR) is being developed with the objective of preventing recurrence of similar abnormal events by offering an effective means of utilizing such knowledge. This paper presents the key points in designing and constructing the system, the system functional outline, and some demonstration examples. (author)

  6. Probing energy transfer events in the light harvesting complex 2 (LH2) of Rhodobacter sphaeroides with two-dimensional spectroscopy.

    Science.gov (United States)

    Fidler, Andrew F; Singh, Ved P; Long, Phillip D; Dahlberg, Peter D; Engel, Gregory S

    2013-10-21

    Excitation energy transfer events in the photosynthetic light harvesting complex 2 (LH2) of Rhodobacter sphaeroides are investigated with polarization controlled two-dimensional electronic spectroscopy. A spectrally broadened pulse allows simultaneous measurement of the energy transfer within and between the two absorption bands at 800 nm and 850 nm. The phased all-parallel polarization two-dimensional spectra resolve the initial events of energy transfer by separating the intra-band and inter-band relaxation processes across the two-dimensional map. The internal dynamics of the 800 nm region of the spectra are resolved as a cross peak that grows in on an ultrafast time scale, reflecting energy transfer between higher lying excitations of the B850 chromophores into the B800 states. We utilize a polarization sequence designed to highlight the initial excited state dynamics which uncovers an ultrafast transfer component between the two bands that was not observed in the all-parallel polarization data. We attribute the ultrafast transfer component to energy transfer from higher energy exciton states to lower energy states of the strongly coupled B850 chromophores. Connecting the spectroscopic signature to the molecular structure, we reveal multiple relaxation pathways including a cyclic transfer of energy between the two rings of the complex.

  7. Probing energy transfer events in the light harvesting complex 2 (LH2) of Rhodobacter sphaeroides with two-dimensional spectroscopy

    Energy Technology Data Exchange (ETDEWEB)

    Fidler, Andrew F.; Singh, Ved P.; Engel, Gregory S. [Department of Chemistry, The Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637 (United States); Long, Phillip D.; Dahlberg, Peter D. [Graduate Program in the Biophysical Sciences, The University of Chicago, Chicago, Illinois 60637 (United States)

    2013-10-21

    Excitation energy transfer events in the photosynthetic light harvesting complex 2 (LH2) of Rhodobacter sphaeroides are investigated with polarization controlled two-dimensional electronic spectroscopy. A spectrally broadened pulse allows simultaneous measurement of the energy transfer within and between the two absorption bands at 800 nm and 850 nm. The phased all-parallel polarization two-dimensional spectra resolve the initial events of energy transfer by separating the intra-band and inter-band relaxation processes across the two-dimensional map. The internal dynamics of the 800 nm region of the spectra are resolved as a cross peak that grows in on an ultrafast time scale, reflecting energy transfer between higher lying excitations of the B850 chromophores into the B800 states. We utilize a polarization sequence designed to highlight the initial excited state dynamics which uncovers an ultrafast transfer component between the two bands that was not observed in the all-parallel polarization data. We attribute the ultrafast transfer component to energy transfer from higher energy exciton states to lower energy states of the strongly coupled B850 chromophores. Connecting the spectroscopic signature to the molecular structure, we reveal multiple relaxation pathways including a cyclic transfer of energy between the two rings of the complex.

  8. Probing energy transfer events in the light harvesting complex 2 (LH2) of Rhodobacter sphaeroides with two-dimensional spectroscopy

    International Nuclear Information System (INIS)

    Fidler, Andrew F.; Singh, Ved P.; Engel, Gregory S.; Long, Phillip D.; Dahlberg, Peter D.

    2013-01-01

    Excitation energy transfer events in the photosynthetic light harvesting complex 2 (LH2) of Rhodobacter sphaeroides are investigated with polarization controlled two-dimensional electronic spectroscopy. A spectrally broadened pulse allows simultaneous measurement of the energy transfer within and between the two absorption bands at 800 nm and 850 nm. The phased all-parallel polarization two-dimensional spectra resolve the initial events of energy transfer by separating the intra-band and inter-band relaxation processes across the two-dimensional map. The internal dynamics of the 800 nm region of the spectra are resolved as a cross peak that grows in on an ultrafast time scale, reflecting energy transfer between higher lying excitations of the B850 chromophores into the B800 states. We utilize a polarization sequence designed to highlight the initial excited state dynamics which uncovers an ultrafast transfer component between the two bands that was not observed in the all-parallel polarization data. We attribute the ultrafast transfer component to energy transfer from higher energy exciton states to lower energy states of the strongly coupled B850 chromophores. Connecting the spectroscopic signature to the molecular structure, we reveal multiple relaxation pathways including a cyclic transfer of energy between the two rings of the complex

  9. 基于情景的突发事件链构建方法*%A Scenario-based Construction Method of Emergency Event Chain

    Institute of Scientific and Technical Information of China (English)

    马骁霏; 仲秋雁; 曲毅; 王宁; 王延章

    2013-01-01

    突发事件前兆缺失,危害巨大,其次生、衍生事件构成的事件链给人类造成严重的影响。针对突发事件演变路径不明,形成的链式结构复杂多变的特点,借鉴共性知识模型,利用知识元刻画情景与事件,通过知识元间的关联,分析情景与事件相互作用关系,事件间的演变规律;以数据和规则为驱动,提出了一种基于情景的突发事件链构建方法,该方法可为“情景-应对”决策提供了支持,最后给出案例分析。%Lacking of precursor, emergency events do harm to human society greatly. Emergency event chain, constituted by secondary e-vents, has severe negative effects on human race. The chain structure of emergency event is complex and varies frequently, and it is diffi-cult to judge the evolution path for emergency events. Drawing on the common knowledge model, using knowledge element to express scenario and events, the paper analyzes the interaction between scenario and events and the evolution of events based on the relationship of knowledge element. Using data and rule as drive, a scenario-based construction method of emergency event chain is proposed. The meth-od supports“scenario-response” policy decision-making. At last, a case study is presented.

  10. Effectiveness of pharmacovigilance: multifaceted educational intervention related to the knowledge, skills and attitudes of multidisciplinary hospital staff

    Directory of Open Access Journals (Sweden)

    Fabiana Rossi Varallo

    Full Text Available OBJECTIVES: Most educational interventions in pharmacovigilance are designed to encourage physicians to report adverse drug reactions. However, multidisciplinary teams may play an important role in reporting drug-related problems. This study assessed the impact of a multifaceted educational intervention in pharmacovigilance on the knowledge, skills and attitudes of hospital professionals. METHOD: This prospective, open-label, non-randomized study was performed in a medium-complexity hospital in São Paulo, Brazil. The intervention involved four activities: 1 an interactive lecture, 2 a practical class, 3 a pre-post questionnaire administered to professionals on a multidisciplinary team, and 4 educational material. The intervention’s impact on the professionals’ knowledge and skills was assessed using the World Health Organization’s definitions. The intervention’s effect on the professionals’ attitudes was analysed by the prevalence of adverse drug event reports (adverse drug reactions, medication errors, therapeutic failure and drug quality deviations and the relevance (seriousness and expectancy of the events. RESULTS: One hundred seventy-three professionals were enrolled. A 70-fold increase in the number of adverse drug event reports was observed during the 12 months post-intervention. The intervention improved the professionals’ form-completion skills (p<0.0001 and their knowledge of pharmacovigilance (p<0.0001. The intervention also contributed to detecting serious drug-induced events. The nursing staff reported medication errors, and pharmacists and physiotherapists recognized serious adverse drug reactions. Physicians communicated suspicions of therapeutic failure. CONCLUSIONS: A multidisciplinary approach to drug-safety assessments contributes to identifying new, relevant drug-related problems and improving the rate of adverse drug event reporting. This strategy may therefore be applied to improve risk communication in

  11. Automatic Emergence Detection in Complex Systems

    Directory of Open Access Journals (Sweden)

    Eugene Santos

    2017-01-01

    Full Text Available Complex systems consist of multiple interacting subsystems, whose nonlinear interactions can result in unanticipated (emergent system events. Extant systems analysis approaches fail to detect such emergent properties, since they analyze each subsystem separately and arrive at decisions typically through linear aggregations of individual analysis results. In this paper, we propose a quantitative definition of emergence for complex systems. We also propose a framework to detect emergent properties given observations of its subsystems. This framework, based on a probabilistic graphical model called Bayesian Knowledge Bases (BKBs, learns individual subsystem dynamics from data, probabilistically and structurally fuses said dynamics into a single complex system dynamics, and detects emergent properties. Fusion is the central element of our approach to account for situations when a common variable may have different probabilistic distributions in different subsystems. We evaluate our detection performance against a baseline approach (Bayesian Network ensemble on synthetic testbeds from UCI datasets. To do so, we also introduce a method to simulate and a metric to measure discrepancies that occur with shared/common variables. Experiments demonstrate that our framework outperforms the baseline. In addition, we demonstrate that this framework has uniform polynomial time complexity across all three learning, fusion, and reasoning procedures.

  12. ANALISA BREAK EVENT POINT (BEP TERHADAP LABA PERUSAHAAN

    Directory of Open Access Journals (Sweden)

    Muhammad Yusuf

    2015-09-01

    Full Text Available Break event point or the break-even point can be defined as a situation where the operating company does not make a profit and not a loss. The goal is to provide the knowledge to increase knowledge about the break event point (the point of principal and its relationship with the company profit and to know how the results of the. Analysis break event point is very important for the leadership of the company to determine the production rate how much the cost will be equal to the amount of sales or in other words to determine the break event point we will determine the relationship between sales, production, selling price, cost, loss or profit, making it easier for leaders to take discretion.DOI: 10.15408/ess.v4i1.1955 

  13. Stories as case knowledge: case knowledge as stories.

    Science.gov (United States)

    Cox, K

    2001-09-01

    Every case contains a human story of illness and a medical story of disease, which together cover person management, case management, health system management and self-management. Much of that management can be learned via a thorough set of stories of typical and atypical core cases compiled by clinical teachers. Stories provide a highly flexible framework for illustrating the lessons of experience, the tips and traps for young players, and the dilemmas requiring careful judgement in the trade-offs between benefits and risks. Listening to real stories unfold is much more fun than being lectured (and better remembered). Stories illustrate 'what can happen' in a case as a guide to 'what to do'. A story begins with a real world situation with some predicament and a (causal) sequence of events or plot in which things are resolved one way or another. Patients tell their illness story; their clinician translates that into a disease story. Stories sort out what is important in such a predicament, consider the strategy and tactics of what to do, and speak about the outcomes. Each local situation provides relevance, context and circumstantial detail. Stories about case management can encapsulate practical knowledge, logical deduction, judgement and decision making, sharing with the student all the ingredients that develop expertise. Sometimes it is the plot that is important, sometimes the detail, sometimes it is the underlying message, the parable that resonates with the listener's experiences and feelings.1 Stories can also accommodate the complexity of multiple variables and the influence of other stakeholders, the uncertainties and dilemmas within the trade-offs, and the niceties of 'informed judgement'. This paper makes four points. First, clinical stories recount pointed examples of 'what happened' that expand our expertise in handling 'a case like that'. Second, cases are the unit of clinical work. Case stories expand the dimensions and details of case knowledge

  14. European accelerator facilities for single event effects testing

    Energy Technology Data Exchange (ETDEWEB)

    Adams, L; Nickson, R; Harboe-Sorensen, R [ESA-ESTEC, Noordwijk (Netherlands); Hajdas, W; Berger, G

    1997-03-01

    Single event effects are an important hazard to spacecraft and payloads. The advances in component technology, with shrinking dimensions and increasing complexity will give even more importance to single event effects in the future. The ground test facilities are complex and expensive and the complexities of installing a facility are compounded by the requirement that maximum control is to be exercised by users largely unfamiliar with accelerator technology. The PIF and the HIF are the result of experience gained in the field of single event effects testing and represent a unique collaboration between space technology and accelerator experts. Both facilities form an essential part of the European infrastructure supporting space projects. (J.P.N.)

  15. Automated reasoning with dynamic event trees: a real-time, knowledge-based decision aide

    International Nuclear Information System (INIS)

    Touchton, R.A.; Gunter, A.D.; Subramanyan, N.

    1988-01-01

    The models and data contained in a probabilistic risk assessment (PRA) Event Sequence Analysis represent a wealth of information that can be used for dynamic calculation of event sequence likelihood. In this paper we report a new and unique computerization methodology which utilizes these data. This sub-system (referred to as PREDICTOR) has been developed and tested as part of a larger system. PREDICTOR performs a real-time (re)calculation of the estimated likelihood of core-melt as a function of plant status. This methodology uses object-oriented programming techniques from the artificial intelligence discipline that enable one to codify event tree and fault tree logic models and associated probabilities developed in a PRA study. Existence of off-normal conditions is reported to PREDICTOR, which then updates the relevant failure probabilities throughout the event tree and fault tree models by dynamically replacing the off-the-shelf (or prior) probabilities with new probabilities based on the current situation. The new event probabilities are immediately propagated through the models (using 'demons') and an updated core-melt probability is calculated. Along the way, the dominant non-success path of each event tree is determined and highlighted. (author)

  16. Complexity measures of music

    Science.gov (United States)

    Pease, April; Mahmoodi, Korosh; West, Bruce J.

    2018-03-01

    We present a technique to search for the presence of crucial events in music, based on the analysis of the music volume. Earlier work on this issue was based on the assumption that crucial events correspond to the change of music notes, with the interesting result that the complexity index of the crucial events is mu ~ 2, which is the same inverse power-law index of the dynamics of the brain. The search technique analyzes music volume and confirms the results of the earlier work, thereby contributing to the explanation as to why the brain is sensitive to music, through the phenomenon of complexity matching. Complexity matching has recently been interpreted as the transfer of multifractality from one complex network to another. For this reason we also examine the mulifractality of music, with the observation that the multifractal spectrum of a computer performance is significantly narrower than the multifractal spectrum of a human performance of the same musical score. We conjecture that although crucial events are demonstrably important for information transmission, they alone are not suficient to define musicality, which is more adequately measured by the multifractality spectrum.

  17. Complexity of deciding detectability in discrete event systems

    Czech Academy of Sciences Publication Activity Database

    Masopust, Tomáš

    2018-01-01

    Roč. 93, July (2018), s. 257-261 ISSN 0005-1098 Institutional support: RVO:67985840 Keywords : discrete event systems * finite automata * detectability Subject RIV: BA - General Mathematics OBOR OECD: Computer science s, information science , bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Impact factor: 5.451, year: 2016 https://www. science direct.com/ science /article/pii/S0005109818301730

  18. Complexity of deciding detectability in discrete event systems

    Czech Academy of Sciences Publication Activity Database

    Masopust, Tomáš

    2018-01-01

    Roč. 93, July (2018), s. 257-261 ISSN 0005-1098 Institutional support: RVO:67985840 Keywords : discrete event systems * finite automata * detectability Subject RIV: BA - General Mathematics OBOR OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Impact factor: 5.451, year: 2016 https://www.sciencedirect.com/science/article/pii/S0005109818301730

  19. The interaction between surface color and color knowledge: behavioral and electrophysiological evidence.

    Science.gov (United States)

    Bramão, Inês; Faísca, Luís; Forkstam, Christian; Inácio, Filomena; Araújo, Susana; Petersson, Karl Magnus; Reis, Alexandra

    2012-02-01

    In this study, we used event-related potentials (ERPs) to evaluate the contribution of surface color and color knowledge information in object identification. We constructed two color-object verification tasks - a surface and a knowledge verification task - using high color diagnostic objects; both typical and atypical color versions of the same object were presented. Continuous electroencephalogram was recorded from 26 subjects. A cluster randomization procedure was used to explore the differences between typical and atypical color objects in each task. In the color knowledge task, we found two significant clusters that were consistent with the N350 and late positive complex (LPC) effects. Atypical color objects elicited more negative ERPs compared to typical color objects. The color effect found in the N350 time window suggests that surface color is an important cue that facilitates the selection of a stored object representation from long-term memory. Moreover, the observed LPC effect suggests that surface color activates associated semantic knowledge about the object, including color knowledge representations. We did not find any significant differences between typical and atypical color objects in the surface color verification task, which indicates that there is little contribution of color knowledge to resolve the surface color verification. Our main results suggest that surface color is an important visual cue that triggers color knowledge, thereby facilitating object identification. Copyright © 2011 Elsevier Inc. All rights reserved.

  20. [Emerging infectious diseases: complex, unpredictable processes].

    Science.gov (United States)

    Guégan, Jean-François

    2016-01-01

    In the light of a double approach, at first empirical, later theoretical and comparative, illustrated by the example of the Buruli ulcer and its mycobacterial agent Mycobacterium ulcerans on which I focused my research activity these last ten years by studying determinants and factors of emerging infectious or parasitic diseases, the complexity of events explaining emerging diseases will be presented. The cascade of events occurring at various levels of spatiotemporal scales and organization of life, which lead to the numerous observed emergences, nowadays requires better taking into account the interactions between host(s), pathogen(s) and the environment by including the behavior of both individuals and the population. In numerous research studies on emerging infectious diseases, microbial hazard is described rather than infectious disease risk, the latter resulting from the confrontation between an association of threatening phenomena, or hazards, and a susceptible population. Beyond, the theme of emerging infectious diseases and its links with global environmental and societal changes leads to reconsider some well-established knowledge in infectiology and parasitology. © Société de Biologie, 2017.

  1. Self-Complexity, Daily Events, and Perceived Quality of Life.

    Science.gov (United States)

    Kardash, CarolAnne M.; Okun, Morris A.

    Recent research has demonstrated that self-cognitions can play an important role in physical and emotional well-being. One important aspect of self-cognition concerns the complexity of self-representations. This study tested the hypothesis that self-complexity, as assessed by Linville's self-trait sorting task, would moderate the effects of…

  2. The effectiveness of virtual simulation in improving student nurses' knowledge and performance during patient deterioration: A pre and post test design.

    Science.gov (United States)

    Borg Sapiano, Alexis; Sammut, Roberta; Trapani, Josef

    2018-03-01

    Preparing nursing students to perform competently in complex emergency situations, such as during rapid patient deterioration, is challenging. Students' active engagement in such scenarios cannot be ensured, due to the unexpected nature of such infrequent events. Many students may consequently not experience and integrate the management of patient deterioration into their knowledge and practical competency by the end of their studies, making them unprepared to manage such situations as practicing nurses. This study investigated the effectiveness of virtual simulation in improving performance during rapid patient deterioration. To investigate the effectiveness of virtual simulation in improving student nurses' knowledge and performance during rapid patient deterioration. A pre- and post-test design was used. Nursing students at a university in Malta were invited to participate in a virtual simulation program named FIRST 2 ACTWeb™, using their own computer devices. A total of 166 (response rate=50%) second and third year diploma and degree nursing students participated in the study. The simulation included three scenarios (Cardiac-Shock-Respiratory) portraying deteriorating patients. Performance feedback was provided at the end of each scenario. Students completed pre- and post-scenario knowledge tests and performance during each scenario was recorded automatically on a database. Findings showed a significant improvement in the students' post-scenario knowledge (z=-6.506, psimulation as an effective learning tool for pre-registration nursing students in different programs. Simulation improves both knowledge about and performance during patient deterioration. Virtual simulation of rare events should be a key component of undergraduate nurse education, to prepare students to manage complex situations as practicing nurses. Copyright © 2018 Elsevier Ltd. All rights reserved.

  3. Review of complex networks application in hydroclimatic extremes with an implementation to characterize spatio-temporal drought propagation in continental USA

    Science.gov (United States)

    Konapala, Goutam; Mishra, Ashok

    2017-12-01

    The quantification of spatio-temporal hydroclimatic extreme events is a key variable in water resources planning, disaster mitigation, and preparing climate resilient society. However, quantification of these extreme events has always been a great challenge, which is further compounded by climate variability and change. Recently complex network theory was applied in earth science community to investigate spatial connections among hydrologic fluxes (e.g., rainfall and streamflow) in water cycle. However, there are limited applications of complex network theory for investigating hydroclimatic extreme events. This article attempts to provide an overview of complex networks and extreme events, event synchronization method, construction of networks, their statistical significance and the associated network evaluation metrics. For illustration purpose, we apply the complex network approach to study the spatio-temporal evolution of droughts in Continental USA (CONUS). A different drought threshold leads to a new drought event as well as different socio-economic implications. Therefore, it would be interesting to explore the role of thresholds on spatio-temporal evolution of drought through network analysis. In this study, long term (1900-2016) Palmer drought severity index (PDSI) was selected for spatio-temporal drought analysis using three network-based metrics (i.e., strength, direction and distance). The results indicate that the drought events propagate differently at different thresholds associated with initiation of drought events. The direction metrics indicated that onset of mild drought events usually propagate in a more spatially clustered and uniform approach compared to onsets of moderate droughts. The distance metric shows that the drought events propagate for longer distance in western part compared to eastern part of CONUS. We believe that the network-aided metrics utilized in this study can be an important tool in advancing our knowledge on drought

  4. Semantics-based information extraction for detecting economic events

    NARCIS (Netherlands)

    A.C. Hogenboom (Alexander); F. Frasincar (Flavius); K. Schouten (Kim); O. van der Meer

    2013-01-01

    textabstractAs today's financial markets are sensitive to breaking news on economic events, accurate and timely automatic identification of events in news items is crucial. Unstructured news items originating from many heterogeneous sources have to be mined in order to extract knowledge useful for

  5. Knowledge And Knowledge Management As A Competitive Advantage

    Directory of Open Access Journals (Sweden)

    Diana Bratić

    2009-01-01

    Full Text Available In the modern business environment with high turbulence and complexity, an organization’s force to create and sustain competitive advantage lies in what it knows not what it owns. Establishment of a knowledge management in organization will ensure sustainable competitive advantage because the intellectual capital has become the primary bases of core competencies and the key to superior performance. The transition from industrial to knowledge society, effective use of knowledge is one of the deciding factors in the struggle for competitiveness because it will ensure the rationality, efficiency and flexibility in operations, and only through the realization of those graphics company can gain a competitive advantage on the market.

  6. Tacit Knowledge Barriers within Franchise Organizations

    Science.gov (United States)

    Cumberland, Denise M.; Githens, Rod P.

    2010-01-01

    This paper reviews knowledge management in the context of a franchise business operation, with a focus on tacit knowledge barriers. In a franchise organization, the transfer of knowledge occurs on multiple levels and has an added level of complexity because of the number of partners and relationships. Tacit knowledge transfer should occur…

  7. A cross-cultural study of the lifespan distributions of life script events and autobiographical memories of life story events

    DEFF Research Database (Denmark)

    Zaragoza Scherman, Alejandra; Salgado, Sinué; Shao, Zhifang

    Cultural Life Script Theory provides a cultural explanation of the reminiscence bump: adults older than 40 years remember more life events happening between 15 - 30 years of age. The cultural life script represents semantic knowledge about commonly shared expectations regarding the order and timing...... of major transitional life events in an idealized life course. By comparing the lifespan distribution of life scripts events and memories of life story events, we can determine the degree to which the cultural life script serves as a recall template for autobiographical memories, especially of positive...

  8. The dimerization of the yeast cytochrome bc1 complex is an early event and is independent of Rip1.

    Science.gov (United States)

    Conte, Annalea; Papa, Benedetta; Ferramosca, Alessandra; Zara, Vincenzo

    2015-05-01

    In Saccharomyces cerevisiae the mature cytochrome bc1 complex exists as an obligate homo-dimer in which each monomer consists of ten distinct protein subunits inserted into or bound to the inner mitochondrial membrane. Among them, the Rieske iron-sulfur protein (Rip1), besides its catalytic role in electron transfer, may be implicated in the bc1 complex dimerization. Indeed, Rip1 has the globular domain containing the catalytic center in one monomer while the transmembrane helix interacts with the adjacent monomer. In addition, the lack of Rip1 leads to the accumulation of an immature bc1 intermediate, only loosely associated with cytochrome c oxidase. In this study we have investigated the biogenesis of the yeast cytochrome bc1 complex using epitope tagged proteins to purify native assembly intermediates. We showed that the dimerization process is an early event during bc1 complex biogenesis and that the presence of Rip1, differently from previous proposals, is not essential for this process. We also investigated the multi-step model of bc1 assembly thereby lending further support to the existence of bona fide subcomplexes during bc1 maturation in the inner mitochondrial membrane. Finally, a new model of cytochrome bc1 complex assembly, in which distinct intermediates sequentially interact during bc1 maturation, has been proposed. Copyright © 2015 Elsevier B.V. All rights reserved.

  9. Understanding the social dimension of knowledge through complex network analysis

    NARCIS (Netherlands)

    Mas Tur, E.M.

    2016-01-01

    This thesis presents five studies on the social dimension of knowledge, with a focus on its creation and diffusion processes. Broadly speaking, the creation and diffusion of knowledge are phenomena inherent to human society as a whole. In this sense, the results of the works in this thesis can be

  10. A Step towards a Sharable Community Knowledge Base for WRF Settings -Developing a WRF Setting Methodology based on a case study in a Torrential Rainfall Event

    Science.gov (United States)

    CHU, Q.; Xu, Z.; Zhuo, L.; Han, D.

    2016-12-01

    Increased requirements for interactions between different disciplines and readily access to the numerical weather forecasting system featured with portability and extensibility have made useful contribution to the increases of downstream model users in WRF over recent years. For these users, a knowledge base classified by the representative events would be much helpful. This is because the determination of model settings is regarded as the most important steps in WRF. However, such a process is generally time-consuming, even if with a high computational platform. As such, we propose a sharable proper lookup table on WRF domain settings and corresponding procedures based on a representative torrential rainfall event in Beijing, China. It has been found that WRF's simulations' drift away from the input lateral boundary conditions can be significantly reduced with the adjustment of the domain settings. Among all the impact factors, the placement of nested domain can not only affect the moving speed and angle of the storm-center, but also the location and amount of heavy-rain-belt which can only be detected with adjusted spatial resolutions. Spin-up time is also considered in the model settings, which is demonstrated to have the most obvious influence on the accuracy of the simulations. This conclusion is made based on the large diversity of spatial distributions of precipitation, in terms of the amount of heavy rain varied from -30% to 58% among each experiment. After following all the procedures, the variations of domain settings have minimal effect on the modeling and show the best correlation (larger than 0.65) with fusion observations. So the model settings, including domain size covering the greater Beijing area, 1:5:5 downscaling ratio, 57 vertical levels with top of 50hpa and 60h spin-up time, are found suitable for predicting the similar convective torrential rainfall event in Beijing area. We hope that the procedure for building the community WRF knowledge

  11. Transfer and Reuse of Knowledge from the Service Phase of Complex Products

    DEFF Research Database (Denmark)

    Vianello, Giovanna

    industry. Knowledge generated during the service phase was analysed from the point of view of service engineers and engineering designers. Furthermore, the mechanisms involved in the transfer of knowledge within the service phase and between service and design were investigated. Both service engineers....... The study showed that knowledge transfer between the service and design departments was not systematic and consisted primarily of knowledge pushed by service engineers to engineering designers. The issues that posed a barrier to a systematic reuse of service knowledge were taken into consideration whilst...... and engineering designers were interested in knowledge about changes, issues and improvements generated during service; however, engineering designers were more orientated towards knowledge of the equipment at a component level while service engineers were interested in obtaining an overview of the systems...

  12. Event-based state estimation a stochastic perspective

    CERN Document Server

    Shi, Dawei; Chen, Tongwen

    2016-01-01

    This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples and comparisons. The text elucidates both theoretical developments and their applications, and is rounded out by a review of open problems. This book is a valuable resource for researchers and students who wish to expand their knowledge and work in the area of event-triggered systems. At the same time, engineers and practitioners in industrial process control will benefit from the event-triggering technique that reduces communication costs ...

  13. Awareness Support in Scientific Event Management with ginkgo

    NARCIS (Netherlands)

    Reinhardt, Wolfgang; Maicher, Julian; Drachsler, Hendrik; Sloep, Peter

    2011-01-01

    Reinhardt, W., Maicher, J., Drachsler, H., & Sloep, P. B. (2011). Awareness Support in Scientific Event Management with ginkgo. In Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-Know’11) (pp. 40:1–40:8). New York, NY, USA: ACM.

  14. Aging management: Control of the knowledge data base

    Energy Technology Data Exchange (ETDEWEB)

    Schoeckle, F., E-mail: fs@amtec.de [Amtec Services, Hoher Steg 13, 74348 Laufen (Germany); Rothenhoefer, H. [Amtec Services, Hoher Steg 13, 74348 Laufen (Germany); Koenig, G. [EnBW Kernkraft, Kernkraftwerk Neckarwestheim, 74380 Neckarwestheim (Germany)

    2014-04-01

    Aging management is part of the safety management system in NPP Neckarwestheim, Germany. The central goal of aging management is to increase knowledge about aging mechanisms acting on systems, structures and components (SSC), steadily. Comprehensive knowledge is a pre-requisite to guard against aging related systematic failures. To increase knowledge it is necessary to gather and evaluate data of different departments, systematically. While a nuclear power plant is in service numerous events may occur which are related to aging and may have an influence on the quality of SSC. Relevant events may be malfunction, maintenance results, operational experience, results of surveillance or events in other utilities. It is important to evaluate these events concerning the aspect of aging, regularly, and to decide which measures are required to prevent similar unexpected events in the future. In some cases the new experience has to be assigned to comparable SSC. These evaluations and the necessary measures as well as the tracking of their effectiveness are performed by an aging management team that meets every 3 months. The resulting knowledge data base (aging management data base) supports the application of the PDCA cycle and provides an overview and fast access to all quality documents related to each SSC including surveillance measures and results. It simplifies the generation of annual status reports which demonstrate the efficiency of aging management. Finally, the procedure can be extended to SSC which are important for the availability of the plant and thus take a step forward from aging management to plant life management.

  15. Natural Cognitive Foundations of Teacher Knowledge : An Evolutionary and Cognitive Load Account

    OpenAIRE

    Dessus , Philippe; Tanguy , Franck; Tricot , André

    2015-01-01

    International audience; Instructional process management (encompassing instructional design and classroom management) is known to be very complex, mainly due to its context and the large and diverse amount of knowledge driving it: content knowledge, pedagogical knowledge (PK), curriculum knowledge, knowledge of learners and their characteristics, knowledge of educational contexts, pedagogical content knowledge, and knowledge of educational ends (Shulman, 1987). This complexity makes researche...

  16. Event-based Simulation Model for Quantum Optics Experiments

    NARCIS (Netherlands)

    De Raedt, H.; Michielsen, K.; Jaeger, G; Khrennikov, A; Schlosshauer, M; Weihs, G

    2011-01-01

    We present a corpuscular simulation model of optical phenomena that does not require the knowledge of the solution of a wave equation of the whole system and reproduces the results of Maxwell's theory by generating detection events one-by-one. The event-based corpuscular model gives a unified

  17. Iterative Calibration: A Novel Approach for Calibrating the Molecular Clock Using Complex Geological Events.

    Science.gov (United States)

    Loeza-Quintana, Tzitziki; Adamowicz, Sarah J

    2018-02-01

    During the past 50 years, the molecular clock has become one of the main tools for providing a time scale for the history of life. In the era of robust molecular evolutionary analysis, clock calibration is still one of the most basic steps needing attention. When fossil records are limited, well-dated geological events are the main resource for calibration. However, biogeographic calibrations have often been used in a simplistic manner, for example assuming simultaneous vicariant divergence of multiple sister lineages. Here, we propose a novel iterative calibration approach to define the most appropriate calibration date by seeking congruence between the dates assigned to multiple allopatric divergences and the geological history. Exploring patterns of molecular divergence in 16 trans-Bering sister clades of echinoderms, we demonstrate that the iterative calibration is predominantly advantageous when using complex geological or climatological events-such as the opening/reclosure of the Bering Strait-providing a powerful tool for clock dating that can be applied to other biogeographic calibration systems and further taxa. Using Bayesian analysis, we observed that evolutionary rate variability in the COI-5P gene is generally distributed in a clock-like fashion for Northern echinoderms. The results reveal a large range of genetic divergences, consistent with multiple pulses of trans-Bering migrations. A resulting rate of 2.8% pairwise Kimura-2-parameter sequence divergence per million years is suggested for the COI-5P gene in Northern echinoderms. Given that molecular rates may vary across latitudes and taxa, this study provides a new context for dating the evolutionary history of Arctic marine life.

  18. Integration of expert knowledge and uncertainty in natural risk assessment

    Science.gov (United States)

    Baruffini, Mirko; Jaboyedoff, Michel

    2010-05-01

    Natural hazards occurring in alpine regions during the last decades have clearly shown that interruptions of the Swiss railway power supply and closures of the Gotthard highway due to those events have increased the awareness of infrastructure vulnerability also in Switzerland and illustrate the potential impacts of failures on the performance of infrastructure systems. This asks for a high level of surveillance and preservation along the transalpine lines. Traditional simulation models are only partially capable to predict complex systems behaviours and the subsequently designed and implemented protection strategies are not able to mitigate the full spectrum of risk consequences. They are costly, and maximal protection is most probably not economically feasible. In addition, the quantitative risk assessment approaches such as fault tree analysis, event tree analysis and equivalent annual fatality analysis rely heavily on statistical information. Collecting sufficient data to base a statistical probability of risk is costly and, in many situations, such data does not exist; thus, expert knowledge and experience or engineering judgment can be exploited to estimate risk qualitatively. In order to overcome the statistics lack we used models based on expert's knowledge in order to qualitatively predict based on linguistic appreciation that are more expressive and natural in risk assessment. Fuzzy reasoning (FR) can be used providing a mechanism of computing with words (Zadeh, 1965) for modelling qualitative human thought processes in analyzing complex systems and decisions. Uncertainty in predicting the risk levels arises from such situations because no fully-formalized knowledge are available. Another possibility is to use probability based on triangular probability density function (T-PDF) that can be used to follow the same flow-chart as FR. We implemented the Swiss natural hazard recommendations FR and probability using T-PDF in order to obtain hazard zoning and

  19. [Procedure adverse events: nursing care in central venous catheter fracture].

    Science.gov (United States)

    Pérez-Juan, Eva; Maqueda-Palau, Mònica; Romero-Grilo, Cristina; Muñoz-Moles, Yolanda

    2014-01-01

    In a intensive care unit (ICU) there are many factors that can lead to the occurrence of adverse events. A high percentage of these events are associated with the administration of drugs. Diagnostic tests, such as computed tomography, is common in critically ill patients and technique can be performed with injection of contrast agent to enhance the visualization of soft tissue. The contrast is a medication and the nurse is responsible for its proper administration. The management of the critically ill patient is complex. ICU team and radiology shares responsibility for the care and safety of the patient safety during the transfer and performing tests with contrast. The World Health Organisation patient safety strategies, recommends analysing errors and learning from them. Therefore, it was decided to investigate the causes of the category E severity adverse events that occurred in a patient who was admitted to the ICU for septic shock of abdominal origin. An abdominal computed tomography was performed with contrast which was injected through a central venous catheter. The contrast did not appear in the image. What happened? Causal analysis helped to understand what triggered the event. A care plan and an algorithm were drafted to prevent it from happening again, with the following objectives: improving knowledge, skills and promoting positive attitudes towards patient safety, working at primary, secondary and tertiary care levels. Copyright © 2013 Elsevier España, S.L. All rights reserved.

  20. Can that really happen? Children's knowledge about the reality status of fantastical events in television.

    Science.gov (United States)

    Li, Hui; Boguszewski, Katherine; Lillard, Angeline S

    2015-11-01

    Although popular children's cartoons are replete with fantastical events, we know little about whether children understand that these events are fantastical rather than real. In Study 1, 54 children ages 4 to 6 years and 18 adults were shown 10 real and 10 fantastical events portrayed in 4s video clips from a popular cartoon. After viewing each clip, participants were asked to judge the reality status of the event and to explain their judgments. Results indicated that even 4-year-olds have a fairly good understanding of fantastical events in animated cartoons but that they underestimate the reality status of real events in such cartoons. In Study 2, 35 4- to 6-year-olds and 18 adults watched video clips of 10 real and 10 fantastical events performed by real people from a Chinese television show. Once again, 4-year-olds underestimated the reality status of real events shown on television. However, against the "real" backdrop in this study, 4-year-olds also judged nearly half of the fantastical events to be real. The implications for children's reality-fantasy discrimination and their media viewing are discussed. Copyright © 2015 Elsevier Inc. All rights reserved.

  1. Event-Based Corpuscular Model for Quantum Optics Experiments

    NARCIS (Netherlands)

    Michielsen, K.; Jin, F.; Raedt, H. De

    A corpuscular simulation model of optical phenomena that does not require the knowledge of the solution of a wave equation of the whole system and reproduces the results of Maxwell's theory by generating detection events one-by-one is presented. The event-based corpuscular model is shown to give a

  2. Management of complex knowledge in planning for sustainable development: The use of multi-criteria decision aids

    International Nuclear Information System (INIS)

    Kain, Jaan-Henrik; Soederberg, Henriette

    2008-01-01

    The vision of sustainable development entails new and complex planning situations, confronting local policy makers with changing political conditions, different content in decision making and planning and new working methods. Moreover, the call for sustainable development has been a major driving force towards an increasingly multi-stakeholder planning system. This situation requires competence in working in, and managing, groups of actors, including not only experts and project owners but also other categories of stakeholders. Among other qualities, such competence requires a working strategy aimed at integrating various, and sometimes incommensurable, forms of knowledge to construct a relevant and valid knowledge base prior to decision making. Consequently, there lies great potential in methods that facilitate the evaluation of strategies for infrastructural development across multiple knowledge areas, so-called multi-criteria decision aids (MCDAs). In the present article, observations from six case studies are discussed, where the common denominators are infrastructural planning, multi-stakeholder participation and the use of MCDAs as interactive decision support. Three MCDAs are discussed - NAIADE, SCA and STRAD - with an emphasis on how they function in their procedural context. Accordingly, this is not an analysis of MCDA algorithms, of software programming aspects or of MCDAs as context-independent 'decision machines'-the focus is on MCDAs as actor systems, not as expert systems. The analysis is carried out across four main themes: (a) symmetrical management of different forms of knowledge; (b) management of heterogeneity, pluralism and conflict; (c) functionality and ease of use; and (d) transparency and trust. It shows that STRAD, by far, seems to be the most useful MCDA in interactive settings. NAIADE and SCA are roughly equivalent but have their strengths and weaknesses in different areas. Moreover, it was found that some MCDA issues require further

  3. Manufacturing in the knowledge economy

    DEFF Research Database (Denmark)

    Hansen, Teis; Winther, Lars

    2015-01-01

    and export. However, the character and activities of these industries are profoundly changing as they become increasingly knowledge intensive. Thus, innovation processes and knowledge production in manufacturing are much more complex than suggested by the classic division into high-, medium-and low...

  4. Children's Eyewitness Memory for Multiple Real-Life Events

    Science.gov (United States)

    Odegard, Timothy N.; Cooper, Crystal M.; Lampinen, James M.; Reyna, Valerie F.; Brainerd, Charles J.

    2009-01-01

    The present research examined the influence of prior knowledge on children's free recall, cued recall, recognition memory, and source memory judgments for a series of similar real-life events. Forty children (5-12 years old) attended 4 thematic birthday parties and were later interviewed about the events that transpired during the parties using…

  5. DESIGNING AN EVENT EXTRACTION SYSTEM

    Directory of Open Access Journals (Sweden)

    Botond BENEDEK

    2017-06-01

    Full Text Available In the Internet world, the amount of information available reaches very high quotas. In order to find specific information, some tools were created that automatically scroll through the existing web pages and update their databases with the latest information on the Internet. In order to systematize the search and achieve a result in a concrete form, another step is needed for processing the information returned by the search engine and generating the response in a more organized form. Centralizing events of a certain type is useful first of all for creating a news service. Through this system we are pursuing a knowledge - events from the Internet documents - extraction system. The system will recognize events of a certain type (weather, sports, politics, text data mining, etc. depending on how it will be trained (the concept it has in the dictionary. These events can be provided to the user, or it can also extract the context in which the event occurred, to indicate the initial form in which the event was embedded.

  6. Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design.

    Science.gov (United States)

    Islam, Roosan; Weir, Charlene R; Jones, Makoto; Del Fiol, Guilherme; Samore, Matthew H

    2015-11-30

    Clinical experts' cognitive mechanisms for managing complexity have implications for the design of future innovative healthcare systems. The purpose of the study is to examine the constituents of decision complexity and explore the cognitive strategies clinicians use to control and adapt to their information environment. We used Cognitive Task Analysis (CTA) methods to interview 10 Infectious Disease (ID) experts at the University of Utah and Salt Lake City Veterans Administration Medical Center. Participants were asked to recall a complex, critical and vivid antibiotic-prescribing incident using the Critical Decision Method (CDM), a type of Cognitive Task Analysis (CTA). Using the four iterations of the Critical Decision Method, questions were posed to fully explore the incident, focusing in depth on the clinical components underlying the complexity. Probes were included to assess cognitive and decision strategies used by participants. The following three themes emerged as the constituents of decision complexity experienced by the Infectious Diseases experts: 1) the overall clinical picture does not match the pattern, 2) a lack of comprehension of the situation and 3) dealing with social and emotional pressures such as fear and anxiety. All these factors contribute to decision complexity. These factors almost always occurred together, creating unexpected events and uncertainty in clinical reasoning. Five themes emerged in the analyses of how experts deal with the complexity. Expert clinicians frequently used 1) watchful waiting instead of over- prescribing antibiotics, engaged in 2) theory of mind to project and simulate other practitioners' perspectives, reduced very complex cases into simple 3) heuristics, employed 4) anticipatory thinking to plan and re-plan events and consulted with peers to share knowledge, solicit opinions and 5) seek help on patient cases. The cognitive strategies to deal with decision complexity found in this study have important

  7. Event schemas in autism spectrum disorders: the role of theory of mind and weak central coherence.

    Science.gov (United States)

    Loth, Eva; Gómez, Juan Carlos; Happé, Francesca

    2008-03-01

    Event schemas (generalized knowledge of what happens at common real-life events, e.g., a birthday party) are an important cognitive tool for social understanding: They provide structure for social experiences while accounting for many variable aspects. Using an event narratives task, this study tested the hypotheses that theory of mind (ToM) deficits and weak central coherence (WCC, a local processing bias) undermine different aspects of event knowledge in people with autism spectrum disorder (ASD). Event narratives of ASD ToM-failers were overall significantly impaired. ASD ToM-passers showed more specific abnormalities relating to variable activities, and some of these were significantly associated to WCC. Abnormalities in event knowledge might help linking ASD-typical social deficits in real-life situations and the adherence to inflexible routines.

  8. Detection of unusual events and trends in complex non-stationary data streams

    International Nuclear Information System (INIS)

    Charlton-Perez, C.; Perez, R.B.; Protopopescu, V.; Worley, B.A.

    2011-01-01

    The search for unusual events and trends hidden in multi-component, nonlinear, non-stationary, noisy signals is extremely important for diverse applications, ranging from power plant operation to homeland security. In the context of this work, we define an unusual event as a local signal disturbance and a trend as a continuous carrier of information added to and different from the underlying baseline dynamics. The goal of this paper is to investigate the feasibility of detecting hidden events inside intermittent signal data sets corrupted by high levels of noise, by using the Hilbert-Huang empirical mode decomposition method.

  9. High Tempo Knowledge Collaboration in Wikipedia's Coverage of Breaking News Events

    Science.gov (United States)

    Keegan, Brian C.

    2012-01-01

    When major news breaks in our hyper-connected society, we increasingly turn to an encyclopedia for the latest information. Wikipedia's coverage of breaking news events attracts unique levels of attention; the articles with the most page views, edits, and contributors in any given month since 2003 are related to current events. Extant…

  10. Indigenous Past Climate Knowledge as Cultural Built-in Object and Its Accuracy

    Directory of Open Access Journals (Sweden)

    Christian Leclerc

    2013-12-01

    Full Text Available In studying indigenous climate knowledge, two approaches can be envisioned. In the first, traditional knowledge is a cultural built-in object; conceived as a whole, its relevance can be assessed by referring to other cultural, economic, or technical components at work within an indigenous society. In the second, the accuracy of indigenous climate knowledge is assessed with western science knowledge used as an external reference. However, assessing the accuracy of indigenous climate knowledge remains a largely untapped area. We aim to show how accurate the culturally built indigenous climate knowledge of extreme climatic events is, and how amenable it is to fuzzy logic. A retrospective survey was carried out individually and randomly among 195 Eastern African farmers on climatic reasons for loss of on-farm crop diversity from 1961 to 2006. More than 3000 crop loss events were recorded, and reasons given by farmers were mainly related to droughts or heavy rainfall. Chi-square statistics computed by Monte Carlo simulations based on 999 replicates clearly rejected independence between indigenous knowledge of drought and heavy rainfall that occurred in the past and rainfall records. The fuzzy logic nature of indigenous climatic knowledge appears in the clear association of drought or heavy rainfall events, as perceived by farmers, with corresponding extreme rainfall values, contrasting with a fuzzy picture in the intermediate climatic situations. We discuss how the cultural built-in knowledge helps farmers in perceiving and remembering past climate variations, considering the specificity of the contexts where extreme climatic events were experienced. The integration of indigenous and scientific climate knowledge could allow development of drought monitoring that considers both climatic and contextual data.

  11. Ontology-driven extraction of event logs from relational databases

    NARCIS (Netherlands)

    Calvanese, Diego; Montali, Marco; Syamsiyah, Alifah; van der Aalst, Wil M P; Reichert, M.; Reijers, H.A.

    2015-01-01

    Process mining is an emerging discipline whose aim is to discover, monitor and improve real processes by extracting knowledge from event logs representing actual process executions in a given organizational setting. In this light, it can be applied only if faithful event logs, adhering to accepted

  12. Organizational design and knowledge performance: An empirical study

    Directory of Open Access Journals (Sweden)

    Enrique Claver-Cortés

    2008-07-01

    Full Text Available The paper analyzes how the traditional variables that define a firm’s organizational structure (formalization, complexity, and centralization influence knowledge performance (the degree to which a firm generates knowledge and uses it to reach a competitive advantage. Three hypotheses are tested using a sample of 164 large Spanish firms. The results show that organizational complexity and centralization exert a positive and a negative influence, respectively, on knowledge performance, which confirms the two hypotheses related to these variables. However, the analysis reveals no empirical evidence to confirm the hypothesis that formalization and knowledge performance are related positively.

  13. Age Differences in the Experience of Daily Life Events: A Study Based on the Social Goals Perspective.

    Science.gov (United States)

    Ji, Lingling; Peng, Huamao; Xue, Xiaotong

    2017-01-01

    This study examined age differences in daily life events related to different types of social goals based on the socioemotional selectivity theory (SST), and determined whether the positivity effect existed in the context of social goals in older adults' daily lives. Over a course of 14 days, 49 older adults and 36 younger adults wrote about up to three life events daily and rated the valence of each event. The findings indicated that (1) although both older and younger adults recorded events related to both emotional and knowledge-acquisition goals, the odds ratio for reporting a higher number of events related to emotional goals compared to the number of events related to knowledge-acquisition goals was 2.12 times higher in older adults than that observed in younger adults. (2) Considering the number of events, there was an age-related positivity effect only for knowledge-related goals, and (3) older adults' ratings for events related to emotional and knowledge-acquisition goals were significantly more positive compared to those observed in younger adults. These findings supported the SST, and to some extent, the positivity effect was demonstrated in the context of social goals.

  14. Age Differences in the Experience of Daily Life Events: A Study Based on the Social Goals Perspective

    Directory of Open Access Journals (Sweden)

    Lingling Ji

    2017-09-01

    Full Text Available This study examined age differences in daily life events related to different types of social goals based on the socioemotional selectivity theory (SST, and determined whether the positivity effect existed in the context of social goals in older adults’ daily lives. Over a course of 14 days, 49 older adults and 36 younger adults wrote about up to three life events daily and rated the valence of each event. The findings indicated that (1 although both older and younger adults recorded events related to both emotional and knowledge-acquisition goals, the odds ratio for reporting a higher number of events related to emotional goals compared to the number of events related to knowledge-acquisition goals was 2.12 times higher in older adults than that observed in younger adults. (2 Considering the number of events, there was an age-related positivity effect only for knowledge-related goals, and (3 older adults’ ratings for events related to emotional and knowledge-acquisition goals were significantly more positive compared to those observed in younger adults. These findings supported the SST, and to some extent, the positivity effect was demonstrated in the context of social goals.

  15. Top event prevention in complex systems

    International Nuclear Information System (INIS)

    Youngblood, R.W.; Worrell, R.B.

    1995-01-01

    A key step in formulating a regulatory basis for licensing complex and potentially hazardous facilities is identification of a collection of design elements that is necessary and sufficient to achieve the desired level of protection of the public, the workers, and the environment. Here, such a collection of design elements will be called a ''prevention set.'' At the design stage, identifying a prevention set helps to determine what elements to include in the final design. Separately, a prevention-set argument could be used to limit the scope of regulatory oversight to a subset of design elements. This step can be taken during initial review of a design, or later as part of an effort to justify relief from regulatory requirements that are burdensome but provide little risk reduction. This paper presents a systematic approach to the problem of optimally choosing a prevention set

  16. Assessing traumatic event exposure: general issues and preliminary findings for the Stressful Life Events Screening Questionnaire.

    Science.gov (United States)

    Goodman, L A; Corcoran, C; Turner, K; Yuan, N; Green, B L

    1998-07-01

    This article reviews the psychometric properties of the Stressful Life Events Screening Questionnaire (SLESQ), a recently developed trauma history screening measure, and discusses the complexities involved in assessing trauma exposure. There are relatively few general measures of exposure to a variety of types of traumatic events, and most of those that exist have not been subjected to rigorous psychometric evaluation. The SLESQ showed good test-retest reliability, with a median kappa of .73, adequate convergent validity (with a lengthier interview) with a median kappa of .64, and good discrimination between Criterion A and non-Criterion A events. The discussion addresses some of the challenges of assessing traumatic event exposure along the dimensions of defining traumatic events, assessment methodologies, reporting consistency, and incident validation.

  17. Effects of Cross-axis Wind Jet Events on the Northern Red Sea Circulation

    Science.gov (United States)

    Menezes, V. V.; Bower, A. S.; Farrar, J. T.

    2016-12-01

    Despite its small size, the Red Sea has a complex circulation. There are boundary currents in both sides of the basin, a meridional overturning circulation, water mass formation in the northern part and an intense eddy activity. This complex pattern is driven by strong air-sea interactions. The Red Sea has one of the largest evaporation rates of the global oceans (2m/yr), an intricate and seasonally varying wind pattern. The winds blowing over the Northern Rea Sea (NRS, north of 20N) are predominantly southeastward along the main axis all year round; in the southern, they reverse seasonally due to the monsoonal regime. Although the winds are mostly along-axis in the NRS, several works have shown that sometimes during the boreal winter, the winds blow in a cross-axis direction. The westward winds from Saudi Arabia bring relatively cold dry air and dust from the desert, enhancing heat loss and evaporation off the Red Sea. These wind-jet events may contribute to increased eddy activity and are a trigger for water mass formation. Despite that, our knowledge about the cross-axis winds and their effect on NRS circulation is still incipient. In the present work we analyze 10-years of Quikscat scatterometer winds and altimetric sea surface height anomalies, together with 2-yrs of mooring data, to characterize the westward wind jet events and their impacts on the circulation. We show that the cross-axis winds are, indeed, an important component of the wind regime, explaining 11% of wind variability of the NRS (well-described by a 2nd EOF mode). The westward events occur predominantly in the winter, preferentially in January (about 15 events in 10-years) and have a mean duration of 4-5 days, with a maximum of 12 days (north of 22N). There are around 6 events per year, but in 2002-2003 and 2007-2008, twice more events were detected. The westward wind events are found to strongly modify the wind stress curl, causing a distinct positive/negative curl pattern along the main axis

  18. Medieval Irish chronicles reveal persistent volcanic forcing of severe winter cold events, 431–1649 CE

    International Nuclear Information System (INIS)

    Ludlow, Francis; Stine, Alexander R; Leahy, Paul; Kiely, Gerard; Murphy, Enda; Mayewski, Paul A; Taylor, David; Killen, James; Hennessy, Mark; Baillie, Michael G L

    2013-01-01

    Explosive volcanism resulting in stratospheric injection of sulfate aerosol is a major driver of regional to global climatic variability on interannual and longer timescales. However, much of our knowledge of the climatic impact of volcanism derives from the limited number of eruptions that have occurred in the modern period during which meteorological instrumental records are available. We present a uniquely long historical record of severe short-term cold events from Irish chronicles, 431–1649 CE, and test the association between cold event occurrence and explosive volcanism. Thirty eight (79%) of 48 volcanic events identified in the sulfate deposition record of the Greenland Ice Sheet Project 2 ice-core correspond to 37 (54%) of 69 cold events in this 1219 year period. We show this association to be statistically significant at the 99.7% confidence level, revealing both the consistency of response to explosive volcanism for Ireland’s climatically sensitive Northeast Atlantic location and the large proportional contribution of volcanism to historic cold event frequencies here. Our results expose, moreover, the extent to which volcanism has impacted winter-season climate for the region, and can help to further resolve the complex spatial patterns of Northern Hemisphere winter-season cooling versus warming after major eruptions. (letter)

  19. Organization of knowledge and the complex identity of history of science.

    Science.gov (United States)

    Alfonso-Goldfarb, Ana M; Waisse, Silvia; Ferraz, Márcia H M

    2013-09-01

    History of science as a formal and autonomous field of research crosses over disciplinary boundaries. For this reason, both its production and its working materials are difficult to classify and catalog according to discipline-based systems of organization of knowledge. Three main problems might be pointed out in this regard: the disciplines themselves are subject to a historical process of transformation; some objects of scientific inquiry resist constraint within rigid disciplinary grids but, rather, extend across several disciplinary boundaries; and the so-called digital revolution has replaced spatial with temporal display sequences and shifted the traditional emphasis on knowledge to user-oriented approaches. The first part of this essay is devoted to a conceptual analysis of the various approaches to the organization of knowledge formulated over time, whereas the second considers the new possibilities afforded by a faceted model of knowledge organization compatible with user-oriented relational databases to the research materials and production of history of science.

  20. Detection of Unusual Events and Trends in Complex Non-Stationary Data Streams

    International Nuclear Information System (INIS)

    Perez, Rafael B.; Protopopescu, Vladimir A.; Worley, Brian Addison; Perez, Cristina

    2006-01-01

    The search for unusual events and trends hidden in multi-component, nonlinear, non-stationary, noisy signals is extremely important for a host of different applications, ranging from nuclear power plant and electric grid operation to internet traffic and implementation of non-proliferation protocols. In the context of this work, we define an unusual event as a local signal disturbance and a trend as a continuous carrier of information added to and different from the underlying baseline dynamics. The goal of this paper is to investigate the feasibility of detecting hidden intermittent events inside non-stationary signal data sets corrupted by high levels of noise, by using the Hilbert-Huang empirical mode decomposition method

  1. KNOWLEDGE SHARING IN PARTNERING

    DEFF Research Database (Denmark)

    Koch, Christian; Thuesen, Christian Langhoff

    . The diversity and disjunct feature of the practices is a condition of possibility of knowledge handling as it is a prerequisite for the synthesis of various forms of knowledge in the building construct. Here an orchestrated combination of relationbased interaction with boundary objects and brokers, requisite......This paper adopts practicebased theory for understanding interorganisational knowledge work and extents it with a discussion of the role of redundancy. The paper presents a case study of a project partnership in construction using the partnering concept. The project group responsible...... for the building design counts members from different companies like architects, engineers, and contractors. The paper discusses three central mechanisms for coordinating knowledge in a complex construction project, redundancy, relations, and governance. The knowledge relations is conceptualised through focusing...

  2. Simulating flaring events in complex active regions driven by observed magnetograms

    Science.gov (United States)

    Dimitropoulou, M.; Isliker, H.; Vlahos, L.; Georgoulis, M. K.

    2011-05-01

    Context. We interpret solar flares as events originating in active regions that have reached the self organized critical state, by using a refined cellular automaton model with initial conditions derived from observations. Aims: We investigate whether the system, with its imposed physical elements, reaches a self organized critical state and whether well-known statistical properties of flares, such as scaling laws observed in the distribution functions of characteristic parameters, are reproduced after this state has been reached. Methods: To investigate whether the distribution functions of total energy, peak energy and event duration follow the expected scaling laws, we first applied a nonlinear force-free extrapolation that reconstructs the three-dimensional magnetic fields from two-dimensional vector magnetograms. We then locate magnetic discontinuities exceeding a threshold in the Laplacian of the magnetic field. These discontinuities are relaxed in local diffusion events, implemented in the form of cellular automaton evolution rules. Subsequent loading and relaxation steps lead the system to self organized criticality, after which the statistical properties of the simulated events are examined. Physical requirements, such as the divergence-free condition for the magnetic field vector, are approximately imposed on all elements of the model. Results: Our results show that self organized criticality is indeed reached when applying specific loading and relaxation rules. Power-law indices obtained from the distribution functions of the modeled flaring events are in good agreement with observations. Single power laws (peak and total flare energy) are obtained, as are power laws with exponential cutoff and double power laws (flare duration). The results are also compared with observational X-ray data from the GOES satellite for our active-region sample. Conclusions: We conclude that well-known statistical properties of flares are reproduced after the system has

  3. Knowledge management. Preservation and maintenance of implicit knowledge within a company

    International Nuclear Information System (INIS)

    Schmidt, Ulrich

    2010-01-01

    EnBW Energie Baden-Wuerttemberg AG operates in a more and more complex economical and political environment. This fact and ambitious growth targets are the reason for EnBW to activate more intensively hidden potentials of the staff and to strengthen their skills. The ''intellectual capital'' of EnBW becomes a key success factor and active knowledge management will be the key to save the sustainability of the company. For the implementation of knowledge management EnBW uses an integrated approach, which includes a cultural, strategic and operational level. Since 2006 the ''Knowledge Relay'' has been used in the EnBW group with great success. (orig.)

  4. Assessment of Sustainability of Sports Events (Slovenia

    Directory of Open Access Journals (Sweden)

    Aleksandra Golob

    2015-04-01

    Full Text Available Events industry plays an important role in nowadays economy and can have a substantial impact for a successful business; in addition, sustainability-oriented tourism is becoming an important component of development and planning of a tourist destination. Thus, organizing sustainability-oriented events is crucial and should focus on the zero waste event management and consider as many elements of sustainable development as possible. The same stands for organizing sports events. The aim of this paper was to find out to which level the organizers of existing sports events in Slovenia are taking into account different domains of sustainable development. Answering to a common questionnaire the organizers gave us a feedback considering four main areas: environmental, social, cultural, and economic criteria. The plan was to determine the level of sustainability of three sports events and compare them to each other according to the outstanding areas as well as to draw the attention to the importance of organizing sustainability-oriented sports events and minimizing negative effects of those. Since the field of research is complex, dynamic, and has an interdisciplinary character the results were attained using the DEX software which supports a qualitative approach and allows the modelling of complex decision-making processes with a large number of parameters and alternatives. Such methodology enables the input of a preliminary set of sustainability criteria and can be used as a support when deciding on the evaluation of sustainability of events in general.

  5. Vernacular Knowledge and Water Management – Towards the Integration of Expert Science and Local Knowledge in Ontario, Canada

    Directory of Open Access Journals (Sweden)

    Hugh Simpson

    2015-10-01

    Full Text Available Complex environmental problems cannot be solved using expert science alone. Rather, these kinds of problems benefit from problem-solving processes that draw on 'vernacular' knowledge. Vernacular knowledge integrates expert science and local knowledge with community beliefs and values. Collaborative approaches to water problem-solving can provide forums for bringing together diverse, and often competing, interests to produce vernacular knowledge through deliberation and negotiation of solutions. Organised stakeholder groups are participating increasingly in such forums, often through involvement of networks, but it is unclear what roles these networks play in the creation and sharing of vernacular knowledge. A case-study approach was used to evaluate the involvement of a key stakeholder group, the agricultural community in Ontario, Canada, in creating vernacular knowledge during a prescribed multi-stakeholder problem-solving process for source water protection for municipal supplies. Data sources – including survey questionnaire responses, participant observation, and publicly available documents – illustrate how respondents supported and participated in the creation of vernacular knowledge. The results of the evaluation indicate that the respondents recognised and valued agricultural knowledge as an information source for resolving complex problems. The research also provided insight concerning the complementary roles and effectiveness of the agricultural community in sharing knowledge within a prescribed problem-solving process.

  6. The multitalented Mediator complex.

    Science.gov (United States)

    Carlsten, Jonas O P; Zhu, Xuefeng; Gustafsson, Claes M

    2013-11-01

    The Mediator complex is needed for regulated transcription of RNA polymerase II (Pol II)-dependent genes. Initially, Mediator was only seen as a protein bridge that conveyed regulatory information from enhancers to the promoter. Later studies have added many other functions to the Mediator repertoire. Indeed, recent findings show that Mediator influences nearly all stages of transcription and coordinates these events with concomitant changes in chromatin organization. We review the multitude of activities associated with Mediator and discuss how this complex coordinates transcription with other cellular events. We also discuss the inherent difficulties associated with in vivo characterization of a coactivator complex that can indirectly affect diverse cellular processes via changes in gene transcription. Copyright © 2013 Elsevier Ltd. All rights reserved.

  7. Knowledge Management (KM) Risk Assessment of Critical Knowledge Loss in an Organization with Expanding Nuclear Power Program

    International Nuclear Information System (INIS)

    Mohsin, M.

    2014-01-01

    Risk and KM risk assessment of critical knowledge loss: • Risk is defined in the Project Management Body of Knowledge (PMBOK,2004) as an event or unclear situation that will influence the timing, cost and quality of a project. • This study considers attrition due to retirements of its workforce -- A risk for the organization as it has implications of loss of knowledge for the organization and thereby on its quality and output. • This study assesses the magnitude of the anticipated Risk of Knowledge Loss in three Operational NPPs namely CNPGS (C-1 and C-2) and K-1 based on the factor of Time until Retirement

  8. A Network Based Methodology to Reveal Patterns in Knowledge Transfer

    Directory of Open Access Journals (Sweden)

    Orlando López-Cruz

    2015-12-01

    Full Text Available This paper motivates, presents and demonstrates in use a methodology based in complex network analysis to support research aimed at identification of sources in the process of knowledge transfer at the interorganizational level. The importance of this methodology is that it states a unified model to reveal knowledge sharing patterns and to compare results from multiple researches on data from different periods of time and different sectors of the economy. This methodology does not address the underlying statistical processes. To do this, national statistics departments (NSD provide documents and tools at their websites. But this proposal provides a guide to model information inferences gathered from data processing revealing links between sources and recipients of knowledge being transferred and that the recipient detects as main source to new knowledge creation. Some national statistics departments set as objective for these surveys the characterization of innovation dynamics in firms and to analyze the use of public support instruments. From this characterization scholars conduct different researches. Measures of dimensions of the network composed by manufacturing firms and other organizations conform the base to inquiry the structure that emerges from taking ideas from other organizations to incept innovations. These two sets of data are actors of a two- mode-network. The link between two actors (network nodes, one acting as the source of the idea. The second one acting as the destination comes from organizations or events organized by organizations that “provide” ideas to other group of firms. The resulting demonstrated design satisfies the objective of being a methodological model to identify sources in knowledge transfer of knowledge effectively used in innovation.

  9. Offshore Energy Knowledge Exchange Workshop Report

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2012-04-12

    A report detailing the presentations and topics discussed at the Offshore Energy Knowledge Exchange Workshop, an event designed to bring together offshore energy industry representatives to share information, best practices, and lessons learned.

  10. Construction and application research of knowledge graph in aviation risk field

    Directory of Open Access Journals (Sweden)

    Zhao Qian

    2018-01-01

    Full Text Available Since the causes of aviation accidents and risks are complicated, concealed, unpredictable and difficult to be investigated, in order to achieve the efficient organization and knowledge sharing of the historical cases of aviation risk events, this paper put forward the method of constructing vertical knowledge graph for aviation risk field. Firstly, the data-driven incremental construction technology is used to build aviation risk event ontology model. Secondly, the pattern-based knowledge mapping mechanism, which transform structured data into RDF (Resource Description Framework data for storage, is proposed. And then the application, update and maintenance of the knowledge graph are described. Finally, knowledge graph construction system in aviation risk field is developed; and the data from American Aviation Safety Reporting System (ASRS is used as an example to verify the rationality and validity of the knowledge graph construction method. Practice has proved that the construction of knowledge graph has a guiding significance for the case information organization and sharing on the field of aviation risk.

  11. Negotiating multisectoral evidence: a qualitative study of knowledge exchange at the intersection of transport and public health

    Directory of Open Access Journals (Sweden)

    Cornelia Guell

    2017-01-01

    Full Text Available Abstract Background For the prevention and control of chronic diseases, two strategies are frequently highlighted: that public health should be evidence based, and that it should develop a multisectoral approach. At the end of a natural experimental study of the health impacts of new transport infrastructure, we took the opportunity of a knowledge exchange forum to explore how stakeholders assessed, negotiated and intended to apply multisectoral evidence in policy and practice at the intersection of transport and health. We aimed to better understand the challenges they faced in knowledge exchange, as well as their everyday experiences with working in multisectoral remits. Methods In 2015, we conducted participant observation during an interactive event with 41 stakeholders from national and local government, the third sector and academia in Cambridge, UK. Formal and informal interactions between stakeholders were recorded in observational field notes. We also conducted 18 semistructured interviews reflecting on the event and on knowledge exchange in general. Results We found that stakeholders negotiated a variety of challenges. First, stakeholders had to negotiate relatively new formal and informal multisectoral remits; and how to reconcile the differing expectations of transport specialists, who tended to emphasise the importance of precedence in guiding action, and health specialists’ concern for the rigour and synthesis of research evidence. Second, research in this field involved complex study designs, and often produced evidence with uncertain transferability to other settings. Third, health outcomes of transport schemes had political traction and were used strategically but not easily translated into cost-benefit ratios. Finally, knowledge exchange meant multiple directions of influence. Stakeholders were concerned that researchers did not always have skills to translate their findings into understandable evidence, and some stakeholders

  12. Climate network analysis of regional precipitation extremes: The true story told by event synchronization

    Science.gov (United States)

    Odenweller, Adrian; Donner, Reik V.

    2017-04-01

    Over the last decade, complex network methods have been frequently used for characterizing spatio-temporal patterns of climate variability from a complex systems perspective, yielding new insights into time-dependent teleconnectivity patterns and couplings between different components of the Earth climate. Among the foremost results reported, network analyses of the synchronicity of extreme events as captured by the so-called event synchronization have been proposed to be powerful tools for disentangling the spatio-temporal organization of particularly extreme rainfall events and anticipating the timing of monsoon onsets or extreme floodings. Rooted in the analysis of spike train synchrony analysis in the neurosciences, event synchronization has the great advantage of automatically classifying pairs of events arising at two distinct spatial locations as temporally close (and, thus, possibly statistically - or even dynamically - interrelated) or not without the necessity of selecting an additional parameter in terms of a maximally tolerable delay between these events. This consideration is conceptually justified in case of the original application to spike trains in electroencephalogram (EEG) recordings, where the inter-spike intervals show relatively narrow distributions at high temporal sampling rates. However, in case of climate studies, precipitation extremes defined by daily precipitation sums exceeding a certain empirical percentile of their local distribution exhibit a distinctively different type of distribution of waiting times between subsequent events. This raises conceptual concerns if event synchronization is still appropriate for detecting interlinkages between spatially distributed precipitation extremes. In order to study this problem in more detail, we employ event synchronization together with an alternative similarity measure for event sequences, event coincidence rates, which requires a manual setting of the tolerable maximum delay between two

  13. Knowledge Management in TENCompetence: concepts & tools

    NARCIS (Netherlands)

    Lemmers, Ruud

    2009-01-01

    Lemmers, R. (2009). Knowledge Management in TENCompetence: concepts & tools. Presented at the 'Open workshop of TENCompetence - Rethinking Learning and Employment at a Time of Economic Uncertainty-event. November, 19, 2009, Manchester, United Kingdom: TENCompetence.

  14. Managing Distributed Knowledge Systems

    DEFF Research Database (Denmark)

    Sørensen, Brian Vejrum; Gelbuda, Modestas

    2005-01-01

    . This paper contributes to the research on organizations as distributed knowledge systems by addressing two weaknesses of the social practice literature. Firstly, it downplays the importance of formal structure and organizational design and intervention efforts by key organizational members. Secondly, it does......The article argues that the growth of de novo knowledge-based organization depends on managing and coordinating increasingly growing and, therefore, distributed knowledge. Moreover, the growth in knowledge is often accompanied by an increasing organizational complexity, which is a result...... of integrating new people, building new units and adding activities to the existing organization. It is argued that knowledge is not a stable capacity that belongs to any actor alone, but that it is rather an ongoing social accomplishment, which is created and recreated as actors engage in mutual activities...

  15. Mathematical foundations of event trees

    International Nuclear Information System (INIS)

    Papazoglou, Ioannis A.

    1998-01-01

    A mathematical foundation from first principles of event trees is presented. The main objective of this formulation is to offer a formal basis for developing automated computer assisted construction techniques for event trees. The mathematical theory of event trees is based on the correspondence between the paths of the tree and the elements of the outcome space of a joint event. The concept of a basic cylinder set is introduced to describe joint event outcomes conditional on specific outcomes of basic events or unconditional on the outcome of basic events. The concept of outcome space partition is used to describe the minimum amount of information intended to be preserved by the event tree representation. These concepts form the basis for an algorithm for systematic search for and generation of the most compact (reduced) form of an event tree consistent with the minimum amount of information the tree should preserve. This mathematical foundation allows for the development of techniques for automated generation of event trees corresponding to joint events which are formally described through other types of graphical models. Such a technique has been developed for complex systems described by functional blocks and it is reported elsewhere. On the quantification issue of event trees, a formal definition of a probability space corresponding to the event tree outcomes is provided. Finally, a short discussion is offered on the relationship of the presented mathematical theory with the more general use of event trees in reliability analysis of dynamic systems

  16. Developing future precipitation events from historic events: An Amsterdam case study.

    Science.gov (United States)

    Manola, Iris; van den Hurk, Bart; de Moel, Hans; Aerts, Jeroen

    2016-04-01

    Due to climate change, the frequency and intensity of extreme precipitation events is expected to increase. It is therefore of high importance to develop climate change scenarios tailored towards the local and regional needs of policy makers in order to develop efficient adaptation strategies to reduce the risks from extreme weather events. Current approaches to tailor climate scenarios are often not well adopted in hazard management, since average changes in climate are not a main concern to policy makers, and tailoring climate scenarios to simulate future extremes can be complex. Therefore, a new concept has been introduced recently that uses known historic extreme events as a basis, and modifies the observed data for these events so that the outcome shows how the same event would occur in a warmer climate. This concept is introduced as 'Future Weather', and appeals to the experience of stakeholders and users. This research presents a novel method of projecting a future extreme precipitation event, based on a historic event. The selected precipitation event took place over the broader area of Amsterdam, the Netherlands in the summer of 2014, which resulted in blocked highways, disruption of air transportation, flooded buildings and public facilities. An analysis of rain monitoring stations showed that an event of such intensity has a 5 to 15 years return period. The method of projecting a future event follows a non-linear delta transformation that is applied directly on the observed event assuming a warmer climate to produce an "up-scaled" future precipitation event. The delta transformation is based on the observed behaviour of the precipitation intensity as a function of the dew point temperature during summers. The outcome is then compared to a benchmark method using the HARMONIE numerical weather prediction model, where the boundary conditions of the event from the Ensemble Prediction System of ECMWF (ENS) are perturbed to indicate a warmer climate. The two

  17. Management of a Complex Open Channel Network During Flood Events

    Science.gov (United States)

    Franchini, M.; Valiani, A.; Schippa, L.; Mascellani, G.

    2003-04-01

    Most part of the area around Ferrara (Italy) is below the mean sea level and an extensive drainage system combined with several pump stations allows the use of this area for both urban development and industrial and agricultural activities. The three main channels of this hydraulic system constitute the Ferrara Inland Waterway (total length approximately 70 km), which connects the Po river near Ferrara to the sea. Because of the level difference between the upstream and dowstream ends of the waterway, three locks are located along it, each of them combined with a set of gates to control the water levels. During rainfall events, most of the water of the basin flows into the waterway and heavy precipitations sometimes cause flooding in several areas. This is due to the insufficiency of the channel network dimensions and an inadequate manual operation of the gates. This study presents a hydrological-hydraulic model for the entire Ferrara basin and a system of rules in order to operate the gates. In particular, their opening is designed to be regulated in real time by monitoring the water level in several sections along the channels. Besides flood peak attenuation, this operation strategy contributes also to the maintenance of a constant water level for irrigation and fluvial navigation during the dry periods. With reference to the flood event of May 1996, it is shown that this floodgate operation policy, unlike that which was actually adopted during that event, would lead to a significant flood peak attenuation, avoiding flooding in the area upstream of Ferrara.

  18. From Evidence-based Management to Management of Non-knowledge

    DEFF Research Database (Denmark)

    Knudsen, Morten

    2017-01-01

    Leadership and management are increasingly expected to base themselves on evidence, i.e. knowledge. This article does not disagree that knowledge may be beneficial. Yet, based on sociological insights on the complex relation between knowledge and ignorance, the article argues that more knowledge...

  19. Strategy for introduction of rainwater management facility considering rainfall event applied on new apartment complex

    Science.gov (United States)

    KIM, H.; Lee, D. K.; Yoo, S.

    2014-12-01

    As regional torrential rains become frequent due to climate change, urban flooding happens very often. That is why it is necessary to prepare for integrated measures against a wide range of rainfall. This study proposes introduction of effective rainwater management facilities to maximize the rainwater runoff reductions and recover natural water circulation for unpredictable extreme rainfall in apartment complex scale. The study site is new apartment complex in Hanam located in east of Seoul, Korea. It has an area of 7.28ha and is analysed using the EPA-SWMM and STORM model. First, it is analyzed that green infrastructure(GI) had efficiency of flood reduction at the various rainfall events and soil characteristics, and then the most effective value of variables are derived. In case of rainfall event, Last 10 years data of 15 minutes were used for analysis. A comparison between A(686mm rainfall during 22days) and B(661mm/4days) knew that soil infiltration of A is 17.08% and B is 5.48% of the rainfall. Reduction of runoff after introduction of the GI of A is 24.76% and B is 6.56%. These results mean that GI is effective to small rainfall intensity, and artificial rainwater retarding reservoir is needed at extreme rainfall. Second, set of target year is conducted for the recovery of hydrological cycle at the predevelopment. And an amount of infiltration, evaporation, surface runoff of the target year and now is analysed on the basis of land coverage, and an arrangement of LID facilities. Third, rainwater management scenarios are established and simulated by the SWMM-LID. Rainwater management facilities include GI(green roof, porous pavement, vegetative swale, ecological pond, and raingarden), and artificial rainwater. Design scenarios are categorized five type: 1)no GI, 2)conventional GI design(current design), 3)intensive GI design, 4)GI design+rainwater retarding reservoir 5)maximized rainwater retarding reservoir. Intensive GI design is to have attribute value to

  20. Human factors analysis and design methods for nuclear waste retrieval systems. Volume III. User's guide for the computerized event-tree analysis technique

    International Nuclear Information System (INIS)

    Casey, S.M.; Deretsky, Z.

    1980-08-01

    This document provides detailed instructions for using the Computerized Event-Tree Analysis Technique (CETAT), a program designed to assist a human factors analyst in predicting event probabilities in complex man-machine configurations found in waste retrieval systems. The instructions contained herein describe how to (a) identify the scope of a CETAT analysis, (b) develop operator performance data, (c) enter an event-tree structure, (d) modify a data base, and (e) analyze event paths and man-machine system configurations. Designed to serve as a tool for developing, organizing, and analyzing operator-initiated event probabilities, CETAT simplifies the tasks of the experienced systems analyst by organizing large amounts of data and performing cumbersome and time consuming arithmetic calculations. The principal uses of CETAT in the waste retrieval development project will be to develop models of system reliability and evaluate alternative equipment designs and operator tasks. As with any automated technique, however, the value of the output will be a function of the knowledge and skill of the analyst using the program

  1. Nuclear knowledge management

    International Nuclear Information System (INIS)

    Constantin, Marin; Ghitescu, Petre

    2007-01-01

    Nuclear knowledge is characterized by high-complexity and variety of the component topics and long duration required by the build-up of individual competence. At organizational level, these characteristics made the power of an organization or institution to be determined by the capital accumulated of existing knowledge. Furthermore, the capacity of an organization to re-generate and raise the knowledge capital according to the specific processes it is running according to the existing demand decides its position/ranking in the economy of nuclear field. Knowledge management emphasizes re-utilization of existing practice and experience, upgrade, enrich and re-value of accumulated knowledge. The present paper identifies and classifies the nuclear knowledge steps, namely: tacit knowledge, explicit knowledge, preserving, transfer, knowledge capture etc. On this basis there are identified the existing problems of nuclear knowledge management in Romania such as: difficulties to keep within the country the existing expertise, lack of interest in nuclear education, low level of organization of existing knowledge due to a small number of data bases, an insufficient integration of existing knowledge in IT systems, lack of ontology and taxonomy or an average structuralism. Nuclear knowledge in Romania is facing a major challenge which is generated by the future development of nuclear facilities. It is related to the rising demand of expertise and experts. This challenge is better solved by partnership between end users and institutions of Research and Development and university organization as well which could ensure the generation, transfer and preservation of nuclear knowledge. (authors)

  2. LHCb Online event processing and filtering

    CERN Document Server

    Alessio, F; Brarda, L; Frank, M; Franek, B; Galli, D; Gaspar, C; Van Herwijnen, E; Jacobsson, R; Jost, B; Köstner, S; Moine, G; Neufeld, N; Somogyi, P; Stoica, R; Suman, S

    2008-01-01

    The first level trigger of LHCb accepts one million events per second. After preprocessing in custom FPGA-based boards these events are distributed to a large farm of PC-servers using a high-speed Gigabit Ethernet network. Synchronisation and event management is achieved by the Timing and Trigger system of LHCb. Due to the complex nature of the selection of B-events, which are the main interest of LHCb, a full event-readout is required. Event processing on the servers is parallelised on an event basis. The reduction factor is typically 1/500. The remaining events are forwarded to a formatting layer, where the raw data files are formed and temporarily stored. A small part of the events is also forwarded to a dedicated farm for calibration and monitoring. The files are subsequently shipped to the CERN Tier0 facility for permanent storage and from there to the various Tier1 sites for reconstruction. In parallel files are used by various monitoring and calibration processes running within the LHCb Online system. ...

  3. Establishment of nuclear knowledge and information infrastructure; establishment of web-based database system for nuclear events

    Energy Technology Data Exchange (ETDEWEB)

    Park, W. J.; Kim, K. J. [Korea Atomic Energy Research Institute , Taejeon (Korea); Lee, S. H. [Korea Institute of Nuclear Safety, Taejeon (Korea)

    2001-05-01

    Nuclear events data reported by nuclear power plants are useful to prevent nuclear accidents at the power plant by examine the cause of initiating events and removal of weak points in the aspects of operational safety, and to improve nuclear safety in design and operation stages by backfitting operational experiences and practices 'Nuclear Event Evaluation Database : NEED' system distributed by CD-ROM media are upgraded to the NEED-Web (Web-based Nuclear Event Evaluation Database) version to manage event data using database system on network basis and the event data and the statistics are provided to the authorized users in the Nuclear Portal Site and publics through Internet Web services. The efforts to establish the NEED-Web system will improve the integrity of events data occurred in Korean nuclear power plant and the usability of data services, and enhance the confidence building and the transparency to the public in nuclear safety. 11 refs., 27 figs. (Author)

  4. IGENPRO knowledge-based digital system for process transient diagnostics and management

    International Nuclear Information System (INIS)

    Morman, J.A.; Reifman, J.; Vitela, J.E.; Wei, T.Y.C.; Applequist, C.A.; Hippely, P.; Kuk, W.; Tsoukalas, L.H.

    1998-01-01

    Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R and D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R and D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management. (author)

  5. IGENPRO knowledge-based digital system for process transient diagnostics and management

    International Nuclear Information System (INIS)

    Morman, J.A.; Reifman, J.; Wei, T.Y.C.

    1997-01-01

    Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R ampersand D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R ampersand D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management

  6. Thematic approach and complex scientific school knowledge: thematic and conceptual organization as proposals of open educational path

    Directory of Open Access Journals (Sweden)

    Giselle Watanabe

    2017-12-01

    Full Text Available In a traditional way, the school knowledge of the sciences, especially in high school, is consolidated from a set of conceptual contents that reflects a given historical construction of the referred science, whether Biology, Physics or Chemistry. In this format, textbooks generally present a more deterministic and reductionist view. There are several consequences, in this scheme that impact the formation of students, among them a mechanized learning and little contextual meaning. In an opposing movement to these limitations, the thematic approaches have been proposed and discussed in research of science teaching field, which propose a treatment of a given topic that is considered relevant for the formation of the youth. However, the organization by themes makes it difficult to integrate into the school curricular culture. Facing this question, this article intends to investigate potential ways of dealing with the two mentioned approaches (traditional and thematic methods, identifying possibilities for the building of knowledge with the potential to promote a more critical and reflexive formation. Methodologically, in this perspective, the research proposes a theoretical reflection from the complexity view about the works with themes, but considering the national school reality. From these considerations emerge the proposal of articulation between two forms of organization, conceptual and thematic, which create space for diversified choices by teachers, based on issues of their school daily life and their training goals. These choices are represented by what we call open thematic pathways. From the results, it may be concluded that the proposed strategies can promote an alternative view of science, the complexity idea, to address questions of an open and dynamic nature and, in this way; it may allow reflections about perceptions, attitudes and values. At same time, it aims to ways of acting of teachers with greater autonomy and protagonism

  7. Knowledge as an Asset--A View from Industry.

    Science.gov (United States)

    Thomas, Grant

    1992-01-01

    Discusses issues related to the value of knowledge to corporations, including technological change, increased competition, and global complexity. Implications for training programs and educational institutions are considered, and a strategic knowledge plan that includes four fields of activity is presented: corporate knowledge engineering,…

  8. An Unsupervised Anomalous Event Detection and Interactive Analysis Framework for Large-scale Satellite Data

    Science.gov (United States)

    LIU, Q.; Lv, Q.; Klucik, R.; Chen, C.; Gallaher, D. W.; Grant, G.; Shang, L.

    2016-12-01

    Due to the high volume and complexity of satellite data, computer-aided tools for fast quality assessments and scientific discovery are indispensable for scientists in the era of Big Data. In this work, we have developed a framework for automated anomalous event detection in massive satellite data. The framework consists of a clustering-based anomaly detection algorithm and a cloud-based tool for interactive analysis of detected anomalies. The algorithm is unsupervised and requires no prior knowledge of the data (e.g., expected normal pattern or known anomalies). As such, it works for diverse data sets, and performs well even in the presence of missing and noisy data. The cloud-based tool provides an intuitive mapping interface that allows users to interactively analyze anomalies using multiple features. As a whole, our framework can (1) identify outliers in a spatio-temporal context, (2) recognize and distinguish meaningful anomalous events from individual outliers, (3) rank those events based on "interestingness" (e.g., rareness or total number of outliers) defined by users, and (4) enable interactively query, exploration, and analysis of those anomalous events. In this presentation, we will demonstrate the effectiveness and efficiency of our framework in the application of detecting data quality issues and unusual natural events using two satellite datasets. The techniques and tools developed in this project are applicable for a diverse set of satellite data and will be made publicly available for scientists in early 2017.

  9. TOURISMOLOGICAL CLASSIFICATION OF SPORTING EVENTS

    Directory of Open Access Journals (Sweden)

    Željko Bjeljac

    2017-04-01

    Full Text Available Sporting events are programs, which are dominated by creative and complex facilities, primarily sports, but also recreation and entertainment. As such, they achieve tourism effects and goals and have a socio-economic importance for the city, region or state. Depending on the size and importance of sports event, sport has a different role in the context of promoting tourist destination, as well as different values. Each sport discipline has its own criteria by which athletes are ranked individually or as team. The subject of the research is to determine the criteria for the categorization of sporting events, in order to determine the importance of sporting events as an element of the tourist offer (individually or as part of a tourist destination. Also, this paper’s results present a comparative analysis of similar methodologies for the categorization of sporting events. Based on the research presented in the paper, there are four groups of criteria: economic, media, social and environmental. Together with this, paper gives the classification of traditional sporting events in the case of Serbia, dividing them in four groups.

  10. Which kind of knowledge is suitable for redesigning hospital logistic processes?

    NARCIS (Netherlands)

    Maruster, L; Jorna, RJ; Miksch, S; Hunter, J; Keravnou, E

    2005-01-01

    A knowledge management perspective is rarely used to model a process. Using the cognitive perspective on knowledge management in which we start our analysis with events and knowledge (bottom-up) instead of with processes and units (top-down), we propose a new approach for redesigning hospital

  11. Detecting regular sound changes in linguistics as events of concerted evolution.

    Science.gov (United States)

    Hruschka, Daniel J; Branford, Simon; Smith, Eric D; Wilkins, Jon; Meade, Andrew; Pagel, Mark; Bhattacharya, Tanmoy

    2015-01-05

    Concerted evolution is normally used to describe parallel changes at different sites in a genome, but it is also observed in languages where a specific phoneme changes to the same other phoneme in many words in the lexicon—a phenomenon known as regular sound change. We develop a general statistical model that can detect concerted changes in aligned sequence data and apply it to study regular sound changes in the Turkic language family. Linguistic evolution, unlike the genetic substitutional process, is dominated by events of concerted evolutionary change. Our model identified more than 70 historical events of regular sound change that occurred throughout the evolution of the Turkic language family, while simultaneously inferring a dated phylogenetic tree. Including regular sound changes yielded an approximately 4-fold improvement in the characterization of linguistic change over a simpler model of sporadic change, improved phylogenetic inference, and returned more reliable and plausible dates for events on the phylogenies. The historical timings of the concerted changes closely follow a Poisson process model, and the sound transition networks derived from our model mirror linguistic expectations. We demonstrate that a model with no prior knowledge of complex concerted or regular changes can nevertheless infer the historical timings and genealogical placements of events of concerted change from the signals left in contemporary data. Our model can be applied wherever discrete elements—such as genes, words, cultural trends, technologies, or morphological traits—can change in parallel within an organism or other evolving group. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

  12. Using fuzzy arithmetic in containment event trees

    International Nuclear Information System (INIS)

    Rivera, S.S.; Baron, Jorge H.

    2000-01-01

    The use of fuzzy arithmetic is proposed for the evaluation of containment event trees. Concepts such as improbable, very improbable, and so on, which are subjective by nature, are represented by fuzzy numbers. The quantitative evaluation of containment event trees is based on the extension principle, by which operations on real numbers are extended to operations on fuzzy numbers. Expert knowledge is considered as state of the base variable with a normal distribution, which is considered to represent the membership function. Finally, this paper presents results of an example calculation of a containment event tree for the CAREM-25 nuclear power plant, presently under detailed design stage at Argentina. (author)

  13. RoboCup European Championship: Report of the Amsterdam 2000 event

    NARCIS (Netherlands)

    Groen, F.; van der Hoek, W.; Jonker, P.; Krose, B.; Spoelder, H.J.W.; Stramigioli, S.

    2001-01-01

    The local organizers of the RoboCup European Championship presents a brief, informal overview of this event with the aim to support organizers of future RoboCup events in the organization and coordination of such a rather complex tournament. The objective was to organize a low cost scientific event

  14. Organizations as complex systems an introduction to knowledge cybernetics

    CERN Document Server

    Yolles, Maurice

    2006-01-01

    Managing the Complex is an ambitious title - and it would be an audacious one if we were not to begin with a frank admission: to date few to none of us have a skill set which includes managing the complex. We try various things, we write about others, and we wonder about still others. When a tool, perspective, or technique comes along which seems to evoke success, we emulate it probe it and recoil at the all too often admission that it was situation and context which afforded success its opportunity, and not some quality intrinsic to the tool perspective or technique. Indeed, if the study of complexity has done anything for managers, and for those who espouse managerial theory, it is in providing a 'scientific foundation' for the notion that context matters. Those who preach abstract ideas have then to reconcile themselves to the notion that situation and embodiment matters. Those who believe in strong causality and determinism are left to wrestle with the role of chance, uncertainty, and chaos. Those who pre...

  15. TEMAC, Top Event Sensitivity Analysis

    International Nuclear Information System (INIS)

    Iman, R.L.; Shortencarier, M.J.

    1988-01-01

    1 - Description of program or function: TEMAC is designed to permit the user to easily estimate risk and to perform sensitivity and uncertainty analyses with a Boolean expression such as produced by the SETS computer program. SETS produces a mathematical representation of a fault tree used to model system unavailability. In the terminology of the TEMAC program, such a mathematical representation is referred to as a top event. The analysis of risk involves the estimation of the magnitude of risk, the sensitivity of risk estimates to base event probabilities and initiating event frequencies, and the quantification of the uncertainty in the risk estimates. 2 - Method of solution: Sensitivity and uncertainty analyses associated with top events involve mathematical operations on the corresponding Boolean expression for the top event, as well as repeated evaluations of the top event in a Monte Carlo fashion. TEMAC employs a general matrix approach which provides a convenient general form for Boolean expressions, is computationally efficient, and allows large problems to be analyzed. 3 - Restrictions on the complexity of the problem - Maxima of: 4000 cut sets, 500 events, 500 values in a Monte Carlo sample, 16 characters in an event name. These restrictions are implemented through the FORTRAN 77 PARAMATER statement

  16. Emerging risk – Conceptual definition and a relation to black swan type of events

    International Nuclear Information System (INIS)

    Flage, R.; Aven, T.

    2015-01-01

    The concept of emerging risk has gained increasing attention in recent years. The term has an intuitive appeal and meaning but a consistent and agreed definition is missing. We perform an in-depth analysis of this concept, in particular its relation to black swan type of events, and show that these can be considered meaningful and complementary concepts by relating emerging risk to known unknowns and black swans to unknown knowns, unknown unknowns and a subset of known knowns. The former is consistent with saying that we face emerging risk related to an activity when the background knowledge is weak but contains indications/justified beliefs that a new type of event (new in the context of that activity) could occur in the future and potentially have severe consequences to something humans value. The weak background knowledge among other things results in difficulty specifying consequences and possibly also in fully specifying the event itself; i.e. in difficulty specifying scenarios. Here knowledge becomes the key concept for both emerging risk and black swan type of events, allowing for taking into consideration time dynamics since knowledge develops over time. Some implications of our findings in terms of risk assessment and risk management are pointed out. - Highlights: • We perform an in-depth analysis of the concept of emerging risk. • Emerging risk and black swan type of events are shown to be complementary concepts. • We propose a definition of emerging risk where knowledge becomes the key term. • Some implications for risk assessment and risk management are pointed out.

  17. Event-Related Potential Correlates of Declarative and Non-Declarative Sequence Knowledge

    Science.gov (United States)

    Ferdinand, Nicola K.; Runger, Dennis; Frensch, Peter A.; Mecklinger, Axel

    2010-01-01

    The goal of the present study was to demonstrate that declarative and non-declarative knowledge acquired in an incidental sequence learning task contributes differentially to memory retrieval and leads to dissociable ERP signatures in a recognition memory task. For this purpose, participants performed a sequence learning task and were classified…

  18. Knowledge typology for imprecise probabilities.

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, G. D. (Gregory D.); Zucker, L. J. (Lauren J.)

    2002-01-01

    When characterizing the reliability of a complex system there are often gaps in the data available for specific subsystems or other factors influencing total system reliability. At Los Alamos National Laboratory we employ ethnographic methods to elicit expert knowledge when traditional data is scarce. Typically, we elicit expert knowledge in probabilistic terms. This paper will explore how we might approach elicitation if methods other than probability (i.e., Dempster-Shafer, or fuzzy sets) prove more useful for quantifying certain types of expert knowledge. Specifically, we will consider if experts have different types of knowledge that may be better characterized in ways other than standard probability theory.

  19. Flood AI: An Intelligent Systems for Discovery and Communication of Disaster Knowledge

    Science.gov (United States)

    Demir, I.; Sermet, M. Y.

    2017-12-01

    Communities are not immune from extreme events or natural disasters that can lead to large-scale consequences for the nation and public. Improving resilience to better prepare, plan, recover, and adapt to disasters is critical to reduce the impacts of extreme events. The National Research Council (NRC) report discusses the topic of how to increase resilience to extreme events through a vision of resilient nation in the year 2030. The report highlights the importance of data, information, gaps and knowledge challenges that needs to be addressed, and suggests every individual to access the risk and vulnerability information to make their communities more resilient. This project presents an intelligent system, Flood AI, for flooding to improve societal preparedness by providing a knowledge engine using voice recognition, artificial intelligence, and natural language processing based on a generalized ontology for disasters with a primary focus on flooding. The knowledge engine utilizes the flood ontology and concepts to connect user input to relevant knowledge discovery channels on flooding by developing a data acquisition and processing framework utilizing environmental observations, forecast models, and knowledge bases. Communication channels of the framework includes web-based systems, agent-based chat bots, smartphone applications, automated web workflows, and smart home devices, opening the knowledge discovery for flooding to many unique use cases.

  20. The influence of experience and knowledge on reactor safety in Germany

    International Nuclear Information System (INIS)

    Bointner, Raphael; Schubert, Katharina

    2016-01-01

    After five decades of nuclear power generation in Germany, the government decided to phase out nuclear power plants until 2022 as a consequence of the Fukushima disaster in 2011. Electricity generation is accompanied by human and technical errors, which questions if the nuclear phase-out has an influence on reactor safety. Past errors, available as so-called reportable events of nuclear power plants, can be approximated with experience measured in cumulated electricity generation by applying the Duffey-Saull method with a high coefficient of determination (R"2 = 0.84). Errors are declining with growing experience, which means the reportable events per TWh are declining over time. Today, approximately 0.9 reportable events per generated TWh occur and, given unchanging operational conditions, it is expected to remain at this magnitude in the near future. Moreover, knowledge induced by public Research and Development expenditures may supplement experience in reducing reportable events. Thus, the cumulative fission knowledge stock of Germany was added to the Duffey-Saull method for the first time. By adjusting the knowledge depreciation rate within this extended method, the prediction of reportable events is more accurate. Best results were obtained with 10.8% depreciation rate, which is also in line with the literature. (author)

  1. A knowledge-Induced Operator Model

    Directory of Open Access Journals (Sweden)

    M.A. Choudhury

    2007-06-01

    Full Text Available Learning systems are in the forefront of analytical investigation in the sciences. In the social sciences they occupy the study of complexity and strongly interactive world-systems. Sometimes they are diversely referred to as symbiotics and semiotics when studied in conjunction with logical expressions. In the mathematical sciences the methodology underlying learning systems with complex behavior is based on formal logic or systems analysis. In this paper relationally learning systems are shown to transcend the space-time domain of scientific investigation into the knowledge dimension. Such a knowledge domain is explained by pervasive interaction leading to integration and followed by continuous evolution as complementary processes existing between entities and systemic domains in world-systems, thus the abbreviation IIE-processes. This paper establishes a mathematical characterization of the properties of knowledge-induced process-based world-systems in the light of the epistemology of unity of knowledge signified in this paper by extensive complementarities caused by the epistemic and ontological foundation of the text of unity of knowledge, the prime example of which is the realm of the divine laws. The result is formalism in mathematical generalization of the learning phenomenon by means of an operator. This operator summarizes the properties of interaction, integration and evolution (IIE in the continuum domain of knowledge formation signified by universal complementarities across entities, systems and sub-systems in unifying world-systems. The opposite case of ‘de-knowledge’ and its operator is also briefly formalized.

  2. Relationship of stress and knowledge workers productivity in Mess-Sarcheshmeh Company

    OpenAIRE

    M. Jahanshahi; A. Afrazeh; A. Najafi

    2010-01-01

    Background and aims   the stress is creating from high density, complexity and long hours of work. Stress is higher among Knowledge workers because of the nature of knowledge work based on the complexity and high focus, aside from the Millennium Challenge is the productivity of   Knowledge workers. The aim of this study reviews the relationship between stress and productivity of Knowledge workers at the Mess-Sarcheshmeh company.     Methods   in this cross sectional study was studied 120 Know...

  3. Knowledge Sharing and National Culture

    DEFF Research Database (Denmark)

    Michailova, Snejina; Hutchings, Kate

    2004-01-01

    Much of the knowledge management literature tends to assume a rather universalistunderstanding of knowledge sharing. Yet, attitudes to knowledge sharing as well as actualknowledge-sharing behaviour depend on conditions that vary across institutional and culturalenvironments. This paper contributes...... to the knowledge-sharing literature by specificallydiscussing the interplay between knowledge-sharing and national cultural factors in the context oftransition countries. The paper engages in a comparative examination of two major transitionsocieties, China and Russia, and contributes to understanding...... the complexity of differencesbetween transition economies. The paper is written as a set of theoretical arguments andpropositions that is designed to elucidate more nuanced ways of thinking about knowledgesharing in China and Russia. We argue that in the case of China and Russia, verticalindividualism...

  4. Importance of individual events in temporal networks

    International Nuclear Information System (INIS)

    Takaguchi, Taro; Masuda, Naoki; Sato, Nobuo; Yano, Kazuo

    2012-01-01

    Records of time-stamped social interactions between pairs of individuals (e.g. face-to-face conversations, e-mail exchanges and phone calls) constitute a so-called temporal network. A remarkable difference between temporal networks and conventional static networks is that time-stamped events rather than links are the unit elements generating the collective behavior of nodes. We propose an importance measure for single interaction events. By generalizing the concept of the advance of events proposed by Kossinets et al (2008 Proc. 14th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining p 435), we propose that an event is central when it carries new information about others to the two nodes involved in the event. We find that the proposed measure properly quantifies the importance of events in connecting nodes along time-ordered paths. Because of strong heterogeneity in the importance of events present in real data, a small fraction of highly important events is necessary and sufficient to sustain the connectivity of temporal networks. Nevertheless, in contrast to the behavior of scale-free networks against link removal, this property mainly results from bursty activity patterns and not heterogeneous degree distributions. (paper)

  5. 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).

  6. Biological significance of complex N-glycans in plants and their impact on plant physiology.

    Science.gov (United States)

    Strasser, Richard

    2014-01-01

    Asparagine (N)-linked protein glycosylation is a ubiquitous co- and post-translational modification which can alter the biological function of proteins and consequently affects the development, growth, and physiology of organisms. Despite an increasing knowledge of N-glycan biosynthesis and processing, we still understand very little about the biological function of individual N-glycan structures in plants. In particular, the N-glycan-processing steps mediated by Golgi-resident enzymes create a structurally diverse set of protein-linked carbohydrate structures. Some of these complex N-glycan modifications like the presence of β1,2-xylose, core α1,3-fucose or the Lewis a-epitope are characteristic for plants and are evolutionary highly conserved. In mammals, complex N-glycans are involved in different cellular processes including molecular recognition and signaling events. In contrast, the complex N-glycan function is still largely unknown in plants. Here, in this short review, I focus on important recent developments and discuss their implications for future research in plant glycobiology and plant biotechnology.

  7. An Architecture for Context-Aware Knowledge Flow Management Systems

    OpenAIRE

    Jarrahi, Ali; Kangavari, Mohammad Reza

    2012-01-01

    The organizational knowledge is one of the most important and valuable assets of organizations. In such environment, organizations with broad, specialized and up-to-date knowledge, adequately using knowledge resources, will be more successful than their competitors. For effective use of knowledge, dynamic knowledge flow from the sources to destinations is essential. In this regard, a novel complex concept in knowledge management is the analysis, design and implementation of knowledge flow man...

  8. Automatically ordering events and times in text

    CERN Document Server

    Derczynski, Leon R A

    2017-01-01

    The book offers a detailed guide to temporal ordering, exploring open problems in the field and providing solutions and extensive analysis. It addresses the challenge of automatically ordering events and times in text. Aided by TimeML, it also describes and presents concepts relating to time in easy-to-compute terms. Working out the order that events and times happen has proven difficult for computers, since the language used to discuss time can be vague and complex. Mapping out these concepts for a computational system, which does not have its own inherent idea of time, is, unsurprisingly, tough. Solving this problem enables powerful systems that can plan, reason about events, and construct stories of their own accord, as well as understand the complex narratives that humans express and comprehend so naturally. This book presents a theory and data-driven analysis of temporal ordering, leading to the identification of exactly what is difficult about the task. It then proposes and evaluates machine-learning so...

  9. Using discrete event simulation to change from a functional layout to a cellular layout in an auto parts industry

    Directory of Open Access Journals (Sweden)

    Thiago Buselato Maurício

    2015-07-01

    Full Text Available This paper presents a discrete event simulation employed in a Brazilian automotive company. There was a huge waste caused by one family scrap. It was believed one reason was the company functional layout. In this case, changing from current to cellular layout, employee synergy and knowledge about this family would increase. Due to the complexity for dimensioning a new cellular layout, mainly because of batch size and client’s demand variation. In this case, discrete event simulation was used, which made possible to introduce those effects improving accuracy in final results. This accuracy will be shown by comparing results obtained with simulation and without it (as company used to do. To conclude, cellular layout was responsible for increasing 15% of productivity, reducing lead-time in 7 days and scrap in 15% for this family.

  10. Rhythmic complexity and predictive coding

    DEFF Research Database (Denmark)

    Vuust, Peter; Witek, Maria A G

    2014-01-01

    Musical rhythm, consisting of apparently abstract intervals of accented temporal events,has a remarkable capacity to move our minds and bodies. How does the cognitive systemenable our experiences of rhythmically complex music? In this paper, we describe somecommon forms of rhythmic complexity...

  11. Complex conductivity of soils

    NARCIS (Netherlands)

    Revil, A.; Coperey, A.; Shao, Z.; Florsch, N.; Fabricus, I.L.; Deng, Y.; Delsman, J.R.; Pauw, P.S.; Karaoulis, M.; Louw, P.G.B. de; Baaren, E.S. van; Dabekaussen, W.; Menkovic, A.; Gunnink, J.L.

    2017-01-01

    The complex conductivity of soils remains poorly known despite the growing importance of this method in hydrogeophysics. In order to fill this gap of knowledge, we investigate the complex conductivity of 71 soils samples (including four peat samples) and one clean sand in the frequency range 0.1 Hz

  12. Direct risk standardisation: a new method for comparing casemix adjusted event rates using complex models.

    Science.gov (United States)

    Nicholl, Jon; Jacques, Richard M; Campbell, Michael J

    2013-10-29

    Comparison of outcomes between populations or centres may be confounded by any casemix differences and standardisation is carried out to avoid this. However, when the casemix adjustment models are large and complex, direct standardisation has been described as "practically impossible", and indirect standardisation may lead to unfair comparisons. We propose a new method of directly standardising for risk rather than standardising for casemix which overcomes these problems. Using a casemix model which is the same model as would be used in indirect standardisation, the risk in individuals is estimated. Risk categories are defined, and event rates in each category for each centre to be compared are calculated. A weighted sum of the risk category specific event rates is then calculated. We have illustrated this method using data on 6 million admissions to 146 hospitals in England in 2007/8 and an existing model with over 5000 casemix combinations, and a second dataset of 18,668 adult emergency admissions to 9 centres in the UK and overseas and a published model with over 20,000 casemix combinations and a continuous covariate. Substantial differences between conventional directly casemix standardised rates and rates from direct risk standardisation (DRS) were found. Results based on DRS were very similar to Standardised Mortality Ratios (SMRs) obtained from indirect standardisation, with similar standard errors. Direct risk standardisation using our proposed method is as straightforward as using conventional direct or indirect standardisation, always enables fair comparisons of performance to be made, can use continuous casemix covariates, and was found in our examples to have similar standard errors to the SMR. It should be preferred when there is a risk that conventional direct or indirect standardisation will lead to unfair comparisons.

  13. Whose power? Whose knowledge? Tensions in collaborative production of knowledge

    DEFF Research Database (Denmark)

    Olesen, Birgitte Ravn

    to produce long-lasting, relevant and socially robust knowledge where complexity is seen as a quality rather than a problem. Looking back at the many rich processes I have been involved in makes it clear to me how the quality of the relations which were established became crucial for the outcome......This speech is a critical, reflexive gaze on my own research practices and ideals about creating knowledge through collaboration between researchers from universities and professionals in dialogical processes. Here the aim is often to give voice to differences and dissenting meanings in order...... of the research projects In social sciences and humanities it is possible to find especially poststructuralist (and feminist) researchers who refer to a discourse about knowledge production as a messy and entangled way of extending our understanding of the world. Social and natural phenomena are recognized...

  14. An Unusual Case of Heteropagus: Autosite With a Complex Cardiac Malformation

    Directory of Open Access Journals (Sweden)

    Hulya Ozkan-Ulu

    2011-12-01

    Full Text Available Asymmetrical form of conjoined twinning (heteropagus is an extremely rare event with an incidence of 1–2 million live births. The incomplete component of heteropagus, namely, parasite, usually consists of rudimentary organs. Therefore, the autosite component of heteropagus can be separated successfully. A wide spectrum of associated congenital cardiac malformations, which are usually minor, has been described in autosites. However, a single-ventricle heart anomaly in the autosite has been reported in a very few cases. We report an unusual case of heteropagus with a complex cardiac malformation. To the best of our knowledge, this is the third heteropagus case in the literature with a single-ventricle heart in the autosite.

  15. Extraterrestrial organic chemistry: from the interstellar medium to the origins of life. Part 2: complex organic chemistry in the environment of planets and satellites.

    Science.gov (United States)

    Raulin, F; Kobayashi, K

    2001-01-01

    During COSPAR'00 in Warsaw, Poland, in the frame of Sub-Commission F.3 events (Planetary Biology and Origins of Life), part of COSPAR Commission F (Life Sciences as Related to Space), and Commission B events (Space Studies of the Earth-Moon System, Planets, and Small Bodies of the Solar System) a large joint symposium (F.3.4/B0.8) was held on extraterrestrial organic chemistry. Part 2 of this symposium was devoted to complex organic chemistry in the environment of planets and satellites. The aim of this event was to cover and review new data which have been recently obtained and to give new insights on data which are expected in the near future to increase our knowledge of the complex organic chemistry occurring in several planets and satellites of the Solar System, outside the earth, and their implications for exobiology and life in the universe. The event was composed of two main parts. The first part was mainly devoted to the inner planets and Europa and the search for signatures of life or organics in those environments. The second part was related to the study of the outer solar system.

  16. World, We Have Problems: Simulation for Large Complex, Risky Projects, and Events

    Science.gov (United States)

    Elfrey, Priscilla

    2010-01-01

    Prior to a spacewalk during the NASA STS/129 mission in November 2009, Columbia Broadcasting System (CBS) correspondent William Harwood reported astronauts, "were awakened again", as they had been the day previously. Fearing something not properly connected was causing a leak, the crew, both on the ground and in space, stopped and checked everything. The alarm proved false. The crew did complete its work ahead of schedule, but the incident reminds us that correctly connecting hundreds and thousands of entities, subsystems and systems, finding leaks, loosening stuck valves, and adding replacements to very large complex systems over time does not occur magically. Everywhere major projects present similar pressures. Lives are at - risk. Responsibility is heavy. Large natural and human-created disasters introduce parallel difficulties as people work across boundaries their countries, disciplines, languages, and cultures with known immediate dangers as well as the unexpected. NASA has long accepted that when humans have to go where humans cannot go that simulation is the sole solution. The Agency uses simulation to achieve consensus, reduce ambiguity and uncertainty, understand problems, make decisions, support design, do planning and troubleshooting, as well as for operations, training, testing, and evaluation. Simulation is at the heart of all such complex systems, products, projects, programs, and events. Difficult, hazardous short and, especially, long-term activities have a persistent need for simulation from the first insight into a possibly workable idea or answer until the final report perhaps beyond our lifetime is put in the archive. With simulation we create a common mental model, try-out breakdowns of machinery or teamwork, and find opportunity for improvement. Lifecycle simulation proves to be increasingly important as risks and consequences intensify. Across the world, disasters are increasing. We anticipate more of them, as the results of global warming

  17. Modeling Cu{sup 2+}-Aβ complexes from computational approaches

    Energy Technology Data Exchange (ETDEWEB)

    Alí-Torres, Jorge [Departamento de Química, Universidad Nacional de Colombia- Sede Bogotá, 111321 (Colombia); Mirats, Andrea; Maréchal, Jean-Didier; Rodríguez-Santiago, Luis; Sodupe, Mariona, E-mail: Mariona.Sodupe@uab.cat [Departament de Química, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona (Spain)

    2015-09-15

    Amyloid plaques formation and oxidative stress are two key events in the pathology of the Alzheimer disease (AD), in which metal cations have been shown to play an important role. In particular, the interaction of the redox active Cu{sup 2+} metal cation with Aβ has been found to interfere in amyloid aggregation and to lead to reactive oxygen species (ROS). A detailed knowledge of the electronic and molecular structure of Cu{sup 2+}-Aβ complexes is thus important to get a better understanding of the role of these complexes in the development and progression of the AD disease. The computational treatment of these systems requires a combination of several available computational methodologies, because two fundamental aspects have to be addressed: the metal coordination sphere and the conformation adopted by the peptide upon copper binding. In this paper we review the main computational strategies used to deal with the Cu{sup 2+}-Aβ coordination and build plausible Cu{sup 2+}-Aβ models that will afterwards allow determining physicochemical properties of interest, such as their redox potential.

  18. VALUATION OF INTANGIBLE ASSETS THE MAIN PAWN FOR NEW CHALLENGES RELATED TO THE KNOWLEDGE ERA

    Directory of Open Access Journals (Sweden)

    Paula – Angela VIDRAŞCU

    2014-12-01

    Full Text Available Intangible assets are considered a resource controlled by an economic entity arising from past events that is expected to generate future earnings. Through them we can debate the technical-material and financial developments over time and due to permanent development capacity. Today we are witnessing a constantly changing flow of information found in a perpetual technological change that began the emergence of a new stage in the evolution of society was called knowledge. In this context we talk about the new economy which tries to present more complex reality in which we find ourselves. Evaluation of intangible assets constitute a comprehensive and very complex process that should be treated with great caution, especially since it appears that can lead to new challenges, both because of globalization and the development of technological innovation. It involves understanding the peculiarities of the competence assessment and an independent professional appraiser.

  19. Acquiring, encoding, and re-using clinical knowledge in PRODIGY

    Directory of Open Access Journals (Sweden)

    Richard Hall

    2002-11-01

    Full Text Available The development, implementation and maintenance of computer-executable clinical guidelines encompass a series of complex processes. As they are often performed by more than one organisation, this introduces further complexity. Within the PRODIGY project we attempt to control as many aspects of the process as possible, in order to increase the likelihood of achieving success. To illustrate the complexity of the process and many of the inherent problems and solutions, this paper describes the evolution of the PRODIGY knowledge base, describing the steps from acquiring knowledge, through encoding, to the execution of guidelines, and 'closing the loop' by discussing an approach to knowledge re-use. We will also consider some of the wider implications of our work and propose directions for future research and development activities.

  20. A creative approach to the development of an agenda for knowledge utilization: outputs from the 11th international knowledge utilization colloquium (KU 11).

    Science.gov (United States)

    Wilkinson, Joyce E; Rycroft-Malone, Jo; Davies, Huw T O; McCormack, Brendan

    2012-12-01

    A group of researchers and practitioners interested in advancing knowledge utilization met as a colloquium in Belfast (KU 11) and used a "world café" approach to exploit the social capital and shared understanding built up over previous events to consider the research and practice agenda. We considered three key areas of relevance to knowledge use: (1) understanding the nature of research use, influence and impact; (2) blended and collaborative approaches to knowledge production and use; and (3) supporting sustainability and spread of evidence-informed innovations. The approach enabled the development of artifacts that reflected the three areas and these were analyzed using a creative hermeneutic approach. The themes that emerged and which are outlined in this commentary are not mutually exclusive. There was much overlap in the discussions and therefore of the themes, reflecting the complex nature of knowledge translation work. The agenda that has emerged from KU 11 also reflects the participatory and creative approach in which the meeting was structured and focused, and therefore emphasizes the processual, relational and contingent nature of some of the challenges we face. The past 20 years has seen an explosion in activity around understanding KU, and we have learned much about the difficulties. Whilst the agenda for the next decade may be becoming clearer, colloquia such as KU 11, using creative and engaging approaches, have a key role to play in dissecting, articulating and sharing that agenda. In this way, we also build an ever-expanding international community that is dedicated to working towards increasing the chances of success for better patient care. © 2012 Sigma Theta Tau International.

  1. "What-Where-Which" Episodic Retrieval Requires Conscious Recollection and Is Promoted by Semantic Knowledge

    Science.gov (United States)

    Saive, Anne-Lise; Royet, Jean-Pierre; Garcia, Samuel; Thévenet, Marc; Plailly, Jane

    2015-01-01

    Episodic memory is defined as the conscious retrieval of specific past events. Whether accurate episodic retrieval requires a recollective experience or if a feeling of knowing is sufficient remains unresolved. We recently devised an ecological approach to investigate the controlled cued-retrieval of episodes composed of unnamable odors (What) located spatially (Where) within a visual context (Which context). By combining the Remember/Know procedure with our laboratory-ecological approach in an original way, the present study demonstrated that the accurate odor-evoked retrieval of complex and multimodal episodes overwhelmingly required conscious recollection. A feeling of knowing, even when associated with a high level of confidence, was not sufficient to generate accurate episodic retrieval. Interestingly, we demonstrated that the recollection of accurate episodic memories was promoted by odor retrieval-cue familiarity and describability. In conclusion, our study suggested that semantic knowledge about retrieval-cues increased the recollection which is the state of awareness required for the accurate retrieval of complex episodic memories. PMID:26630170

  2. "What-Where-Which" Episodic Retrieval Requires Conscious Recollection and Is Promoted by Semantic Knowledge.

    Directory of Open Access Journals (Sweden)

    Anne-Lise Saive

    Full Text Available Episodic memory is defined as the conscious retrieval of specific past events. Whether accurate episodic retrieval requires a recollective experience or if a feeling of knowing is sufficient remains unresolved. We recently devised an ecological approach to investigate the controlled cued-retrieval of episodes composed of unnamable odors (What located spatially (Where within a visual context (Which context. By combining the Remember/Know procedure with our laboratory-ecological approach in an original way, the present study demonstrated that the accurate odor-evoked retrieval of complex and multimodal episodes overwhelmingly required conscious recollection. A feeling of knowing, even when associated with a high level of confidence, was not sufficient to generate accurate episodic retrieval. Interestingly, we demonstrated that the recollection of accurate episodic memories was promoted by odor retrieval-cue familiarity and describability. In conclusion, our study suggested that semantic knowledge about retrieval-cues increased the recollection which is the state of awareness required for the accurate retrieval of complex episodic memories.

  3. "What-Where-Which" Episodic Retrieval Requires Conscious Recollection and Is Promoted by Semantic Knowledge.

    Science.gov (United States)

    Saive, Anne-Lise; Royet, Jean-Pierre; Garcia, Samuel; Thévenet, Marc; Plailly, Jane

    2015-01-01

    Episodic memory is defined as the conscious retrieval of specific past events. Whether accurate episodic retrieval requires a recollective experience or if a feeling of knowing is sufficient remains unresolved. We recently devised an ecological approach to investigate the controlled cued-retrieval of episodes composed of unnamable odors (What) located spatially (Where) within a visual context (Which context). By combining the Remember/Know procedure with our laboratory-ecological approach in an original way, the present study demonstrated that the accurate odor-evoked retrieval of complex and multimodal episodes overwhelmingly required conscious recollection. A feeling of knowing, even when associated with a high level of confidence, was not sufficient to generate accurate episodic retrieval. Interestingly, we demonstrated that the recollection of accurate episodic memories was promoted by odor retrieval-cue familiarity and describability. In conclusion, our study suggested that semantic knowledge about retrieval-cues increased the recollection which is the state of awareness required for the accurate retrieval of complex episodic memories.

  4. Effects of Negative Emotions and Life Events on Women's Missed Miscarriage.

    Science.gov (United States)

    Xing, Huilin; Luo, Yaping; Wang, Shouying

    2018-02-01

    To investigate the effects of negative emotions and life events on women's missed miscarriage. Overall, 214 women diagnosed with a missed miscarriage by prenatal examination from 2016-2017 in Xiamen Maternal and Child Health Care Hospital, Xiamen, China were selected as the observation group compared to 214 women as control group. The general data of the patients were investigated by self-programmed questionnaires. Zung Self-Rating Anxiety Scale, Center Epidemiological Studies Depression Scale; Life Events Scale for Pregnant Women were used conduct the study. General data, anxiety, depression and life events were compared between the two groups of patients, and statistically different factors were included in the multivariate Logistic regression analysis. There were statistically significant differences in the educational level, pre-pregnancy health status, planned pregnancy, pre-pregnancy or gestational gynecological inflammation and the initiative to obtain knowledge of prenatal and postnatal care between the two groups of pregnant women ( P life events, score of anxiety and score of depression between them ( P life events, anxiety and depression were independent risk factors for it. Negative emotions and life events increase the risk of women's missed miscarriage, and the high educational level, good health status before pregnancy and the initiative to obtain the knowledge of prenatal and postnatal care reduce the risk of women's missed miscarriage.

  5. Virtue-Epistemology and the Chagos Unknown: Questioning the Indictment of Knowledge Transmission

    Science.gov (United States)

    Papastephanou, Marianna

    2015-01-01

    Though concerned with knowledge, this article begins with unknown political events that are ignored by the culture and educational practices of the societies in whose name the events took place. The questions that these events raise indicate a relation of epistemology with ethics and education that complicates some theoretical and managerial…

  6. A Bayesian approach to unanticipated events frequency estimation in the decision making context of a nuclear research reactor facility

    International Nuclear Information System (INIS)

    Chatzidakis, S.; Staras, A.

    2013-01-01

    Highlights: • The Bayes’ theorem is employed to support the decision making process in a research reactor. • The intention is to calculate parameters related to unanticipated occurrence of events. • Frequency, posterior distribution and confidence limits are calculated. • The approach is demonstrated using two real-world numerical examples. • The approach can be used even if no failures have been observed. - Abstract: Research reactors are considered as multi-tasking environments having the multiple roles of commercial, research and training facilities. Yet, reactor managers have to make decisions, frequently with high economic impact, based on little available knowledge. A systematic approach employing the Bayes’ theorem is proposed to support the decision making process in a research reactor environment. This approach is characterized by low level complexity, appropriate for research reactor facilities. The methodology is demonstrated through the study of two characteristic events that lead to unanticipated system shutdown, namely the de-energization of the control rod magnet and the flapper valve opening. The results obtained demonstrate the suitability of the Bayesian approach in the decision making context when unanticipated events are considered

  7. Free vibration of complex systems of shells of revolution

    International Nuclear Information System (INIS)

    Markov, P.

    1987-01-01

    Simplified relations are presented for shells of revolution and the finite difference energy method is described as is its numerical application to the problems of the mechanics of the shells of revolution of a complex and branched meridian, used in the BOSOR4 program. Also presented are two examples of calculating the free vibration of systems of shells of revolution using the said program. Both problems stemmed from the needs of SKODA, Energeticke Strojirenstvi. The first concerns the free vibration of the system of WWER-440 reactor vessels, approximating its internals. The second concerns the eigenfrequencies and corresponding shapes of the vibrations of the DK3 diagnostic assembly which was designed and manufactured for improved knowledge of events taking place in the reactor core during different operating modes. (author). 7 figs., 2 tabs., 7 refs

  8. Does secrecy provide ample protection for traditional knowledge

    African Journals Online (AJOL)

    Administrator

    combined with the economic imperative to acquire exclusive rights over .... through independent development such as reverse engineering. Where ..... commercial activity with their traditional knowledge in the ordinary course of events,.

  9. Component Neural Systems for the Creation of Emotional Memories during Free Viewing of a Complex, Real-World Event.

    Science.gov (United States)

    Botzung, Anne; Labar, Kevin S; Kragel, Philip; Miles, Amanda; Rubin, David C

    2010-01-01

    To investigate the neural systems that contribute to the formation of complex, self-relevant emotional memories, dedicated fans of rival college basketball teams watched a competitive game while undergoing functional magnetic resonance imaging (fMRI). During a subsequent recognition memory task, participants were shown video clips depicting plays of the game, stemming either from previously-viewed game segments (targets) or from non-viewed portions of the same game (foils). After an old-new judgment, participants provided emotional valence and intensity ratings of the clips. A data driven approach was first used to decompose the fMRI signal acquired during free viewing of the game into spatially independent components. Correlations were then calculated between the identified components and post-scanning emotion ratings for successfully encoded targets. Two components were correlated with intensity ratings, including temporal lobe regions implicated in memory and emotional functions, such as the hippocampus and amygdala, as well as a midline fronto-cingulo-parietal network implicated in social cognition and self-relevant processing. These data were supported by a general linear model analysis, which revealed additional valence effects in fronto-striatal-insular regions when plays were divided into positive and negative events according to the fan's perspective. Overall, these findings contribute to our understanding of how emotional factors impact distributed neural systems to successfully encode dynamic, personally-relevant event sequences.

  10. Component neural systems for the creation of emotional memories during free viewing of a complex, real-world event

    Directory of Open Access Journals (Sweden)

    Anne Botzung

    2010-05-01

    Full Text Available To investigate the neural systems that contribute to the formation of complex, self-relevant emotional memories, dedicated fans of rival college basketball teams watched a competitive game while undergoing functional magnetic resonance imaging (fMRI. During a subsequent recognition memory task, participants were shown video clips depicting plays of the game, stemming either from previously-viewed game segments (targets or from non-viewed portions of the same game (foils. After an old-new judgment, participants provided emotional valence and intensity ratings of the clips. A data driven approach was first used to decompose the fMRI signal acquired during free viewing of the game into spatially independent components. Correlations were then calculated between the identified components and post-scanning emotion ratings for successfully encoded targets. Two components were correlated with intensity ratings, including temporal lobe regions implicated in memory and emotional functions, such as the hippocampus and amygdala, as well as a midline fronto-cingulo-parietal network implicated in social cognition and self-relevant processing. These data were supported by a general linear model analysis, which revealed additional valence effects in fronto-striatal-insular regions when plays were divided into positive and negative events according to the fan’s perspective. Overall, these findings contribute to our understanding of how emotional factors impact distributed neural systems to successfully encode dynamic, personally-relevant event sequences.

  11. A survey of noninteractive zero knowledge proof system and its applications.

    Science.gov (United States)

    Wu, Huixin; Wang, Feng

    2014-01-01

    Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. Thereinto, noninteractive zero knowledge proof system contains only one message sent by the prover to the verifier. It is widely used in the construction of various types of cryptographic protocols and cryptographic algorithms because of its good privacy, authentication, and lower interactive complexity. This paper reviews and analyzes the basic principles of noninteractive zero knowledge proof system, and summarizes the research progress achieved by noninteractive zero knowledge proof system on the following aspects: the definition and related models of noninteractive zero knowledge proof system, noninteractive zero knowledge proof system of NP problems, noninteractive statistical and perfect zero knowledge, the connection between noninteractive zero knowledge proof system, interactive zero knowledge proof system, and zap, and the specific applications of noninteractive zero knowledge proof system. This paper also points out the future research directions.

  12. A Survey of Noninteractive Zero Knowledge Proof System and Its Applications

    Directory of Open Access Journals (Sweden)

    Huixin Wu

    2014-01-01

    Full Text Available Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. Thereinto, noninteractive zero knowledge proof system contains only one message sent by the prover to the verifier. It is widely used in the construction of various types of cryptographic protocols and cryptographic algorithms because of its good privacy, authentication, and lower interactive complexity. This paper reviews and analyzes the basic principles of noninteractive zero knowledge proof system, and summarizes the research progress achieved by noninteractive zero knowledge proof system on the following aspects: the definition and related models of noninteractive zero knowledge proof system, noninteractive zero knowledge proof system of NP problems, noninteractive statistical and perfect zero knowledge, the connection between noninteractive zero knowledge proof system, interactive zero knowledge proof system, and zap, and the specific applications of noninteractive zero knowledge proof system. This paper also points out the future research directions.

  13. The representation of knowledge within model-based control systems

    International Nuclear Information System (INIS)

    Weygand, D.P.; Koul, R.

    1987-01-01

    Representation of knowledge in artificially intelligent systems is discussed. Types of knowledge that might need to be represented in AI systems are listed, and include knowledge about objects, events, knowledge about how to do things, and knowledge about what human beings know (meta-knowledge). The use of knowledge in AI systems is discussed in terms of acquiring and retrieving knowledge and reasoning about known facts. Different kinds of reasonings or representations are ghen described with some examples given. These include formal reasoning or logical representation, which is related to mathematical logic, production systems, which are based on the idea of condition-action pairs (production), procedural reasoning, which uses pre-formed plans to solve problems, frames, which provide a structure for representing knowledge in an organized manner, direct analogical representations, which represent knowledge in such a manner that permits some observation without deduction

  14. Thoughts toward a clinical database of architecture: evidence, complexity, and impact

    Directory of Open Access Journals (Sweden)

    Leonard R. Bachman

    2012-10-01

    Full Text Available This paper examines how architecture is building a clinical database similar to that of law and medicine and is developing this database for the purposes of acquiring complex design insight. This emerging clinical branch of architectural knowledge exceeds the scope of everyday experience of physical form and can thus be shown to enable a more satisfying scale of design thinking. It is argued that significant transformational kinds of professional transparency and accountability are thus intensifying. The tactics and methods of this paper are to connect previously disparate historical and contemporary events that mark the evolution of this database and then to fold those events into an explanatory narrative concerning clinical design practice. Beginning with architecture’s use of precedent (Collins 1971, the formulation of design as complex problems (Rittel and Webber 1973, high performance buildings to meet the crisis of climate change, social mandates of postindustrial society (Bell 1973, and other roots of evidence, the paper then elaborates the themes in which this database is evolving. Such themes include post-occupancy evaluation (Bordass and Leaman 2005, continuous commissioning, performance simulation, digital instrumentation, automation, and other modes of data collection in buildings. Finally, the paper concludes with some anticipated impacts that such a clinical database might have on design practice and how their benefits can be achieved through new interdisciplinary relations between academia and practice.

  15. Terrorism as Media Event

    Directory of Open Access Journals (Sweden)

    2012-07-01

    Full Text Available Proving that terrorism should be seen as a media event (as defined by Dayan and Katzafter 9/11 and treated accordingly. We have turned to the work of Dayan and Katz and GeorgeGerbner’s for a definition of media events and of violence in the mass media. This paper is ahermeneutical interpretation of the concept of terrorism and its relation to communication. We haveput forward a better understanding of the complex concept of terrorism and its definitions in the massmedia context. Terrorism nowadays should always be defined within its inherent relation with themedia. The article is the first to define terrorism as media evenit in Dayan and Katz’s terms.

  16. Financial impact of inaccurate Adverse Event recording post Hip Fracture surgery: Addendum to 'Adverse event recording post hip fracture surgery'.

    Science.gov (United States)

    Lee, Matthew J; Doody, Kevin; Mohamed, Khalid M S; Butler, Audrey; Street, John; Lenehan, Brian

    2018-02-15

    A study in 2011 by (Doody et al. Ir Med J 106(10):300-302, 2013) looked at comparing inpatient adverse events recorded prospectively at the point of care, with adverse events recorded by the national Hospital In-Patient Enquiry (HIPE) System. In the study, a single-centre University Hospital in Ireland treating acute hip fractures in an orthopaedic unit recorded 39 patients over a 2-month (August-September 2011) period, with 55 adverse events recorded prospectively in contrast to the HIPE record of 13 (23.6%) adverse events. With the recent change in the Irish hospital funding model from block grant to an 'activity-based funding' on the basis of case load and case complexity, the hospital financial allocation is dependent on accurate case complexity coding. A retrospective assessment of the financial implications of the two methods of adverse incident recording was carried out. A total of €39,899 in 'missed funding' for 2 months was calculated when the ward-based, prospectively collected data was compared to the national HIPE data. Accurate data collection is paramount in facilitating activity-based funding, to improve patient care and ensure the appropriate allocation of resources.

  17. Formal Ontologies and Uncertainty. In Geographical Knowledge

    Directory of Open Access Journals (Sweden)

    Matteo Caglioni

    2014-05-01

    Full Text Available Formal ontologies have proved to be a very useful tool to manage interoperability among data, systems and knowledge. In this paper we will show how formal ontologies can evolve from a crisp, deterministic framework (ontologies of hard knowledge to new probabilistic, fuzzy or possibilistic frameworks (ontologies of soft knowledge. This can considerably enlarge the application potential of formal ontologies in geographic analysis and planning, where soft knowledge is intrinsically linked to the complexity of the phenomena under study.  The paper briefly presents these new uncertainty-based formal ontologies. It then highlights how ontologies are formal tools to define both concepts and relations among concepts. An example from the domain of urban geography finally shows how the cause-to-effect relation between household preferences and urban sprawl can be encoded within a crisp, a probabilistic and a possibilistic ontology, respectively. The ontology formalism will also determine the kind of reasoning that can be developed from available knowledge. Uncertain ontologies can be seen as the preliminary phase of more complex uncertainty-based models. The advantages of moving to uncertainty-based models is evident: whether it is in the analysis of geographic space or in decision support for planning, reasoning on geographic space is almost always reasoning with uncertain knowledge of geographic phenomena.

  18. A Process for Predicting Manhole Events in Manhattan

    OpenAIRE

    Isaac, Delfina F.; Ierome, Steve; Dutta, Haimonti; Radeva, Axinia; Passonneau, Rebecca J.; Rudin, Cynthia

    2009-01-01

    We present a knowledge discovery and data mining process developed as part of the Columbia/Con Edison project on manhole event prediction. This process can assist with real-world prioritization problems that involve raw data in the form of noisy documents requiring significant amounts of pre-processing. The documents are linked to a set of instances to be ranked according to prediction criteria. In the case of manhole event prediction, which is a new application for machine learning, the goal...

  19. Analyzing the complexity of nanotechnology

    NARCIS (Netherlands)

    Vries, de M.J.; Schummer, J.; Baird, D.

    2006-01-01

    Nanotechnology is a highly complex technological development due to many uncertainties in our knowledge about it. The Dutch philosopher Herman Dooyeweerd has developed a conceptual framework that can be used (1) to analyze the complexity of technological developments and (2) to see how priorities

  20. CESAS: Computerized event sequence abstracting system outlines and applications

    International Nuclear Information System (INIS)

    Watanabe, N.; Kobayashi, K.; Fujiki, K.

    1990-01-01

    For the purpose of efficient utilization of the safety-related event information on the nuclear power plants, a new computer software package CESAS has been under development. CESAS is to systematically abstract the event sequence, that is a series of sequential and causal relationships between occurrences, from the event description written in natural language of English. This system is designed to be based on the knowledge engineering technique utilized in the field of natural language processing. The analytical process in this system consists of morphemic, syntactic, semantic, and syntagmatic analyses. At this moment, the first version of CESAS has been developed and applied to several real event descriptions for studying its feasibility. This paper describes the outlines of CESAS and one of analytical results in comparison with a manually-extracted event sequence

  1. Exploring the Communicative Dimensions of Knowledge-Intensive Innovation

    DEFF Research Database (Denmark)

    Porup Thomasen, Ulf

    into their communicative micro-foundations. It emphasizes the narrative of a particularly significant and constitutive discrepancy between innovation project teams with an innovation process design aligned with complexity-focused knowledge communication principles and a core business with a set of strategic expectations...... aligned with reductionist knowledge transfer principles. In short, it challenges the validity of reductionist approaches to knowledge-intensive innovation....

  2. Comparison of the 26 May 2012 SEP Event with the 3 November 2011 SEP Event

    Science.gov (United States)

    Makela, P. A.; Gopalswamy, N.; Thakur, N.; Xie, H.

    2015-12-01

    We compare the solar and interplanetary events associated with two large solar energetic particle (SEP) events on 26 May 2012 and 3 November 2011. Both SEP events were detected at three longitudinally widely separated locations by STEREO A and B spacecraft (more than 100 deg away from Earth) and the Wind and SOHO spacecraft near Earth. In Earth view, the November 2011 eruption occurred far behind the east limb at N09E154, whereas the May 2012 eruption occurred closer to the west limb at N15W121, suggesting that SEPs accelerated during the 2012 event might have easier access to Earth. Even though the 2012 event was more intense in the GOES >10 MeV proton channel (peak intensity 14 pfu) than the 2011 event (peak intensity 4 pfu), we find that the latter event was more intense at higher energies (> 40 MeV). Also, the initial rise at lower energies was slightly faster for the 2011 event as measured by SOHO/ERNE. In addition, the CME associated with the May 2012 event was faster with an estimated space speed of ~2029 km/s than that in the November 2011 event (1188 km/s). STEREO/EUVI images of the associated post-eruption arcades (PEAs) indicate that their orientations were different: the PEA of the May 2012 event had a high inclination (north-south), while the inclination of the PEA of the 2011 event was more moderate. Differences in the flux rope orientation may also have effect on the longitudinal extent of the SEP events. These observations suggest that the dependence of solar proton intensities on the observer's longitudinal distance from the solar source is more complex than traditionally assumed.

  3. Engineering Problem-Solving Knowledge: The Impact of Context

    Science.gov (United States)

    Wolff, Karin

    2017-01-01

    Employer complaints of engineering graduate inability to "apply knowledge" suggests a need to interrogate the complex theory-practice relationship in twenty-first century real world contexts. Focussing specifically on the application of mathematics, physics and logic-based disciplinary knowledge, the research examines engineering…

  4. Implementation of the Inter-disciplinary research complex in the L.N. Gumilev Eurasian State University is the step to a modern knowledge intensive technologies

    International Nuclear Information System (INIS)

    Shkol'nik, V.S.; Zholdasbekov, M.Zh.; Kadyrzhanov, K.K.; Itkis, M.G.; Dmitriev, S.N.

    2003-01-01

    In the book the rationale for the Inter-disciplinary research complex implementation in the L.N. Gumilev Eurasian State University (Astana city, Kazakhstan) is given. The design of key facility of the complex - the heavy ion accelerator (DC-60) is described. Application of nuclear membranes as an integrating factor for development of a new technologies, science and a knowledge intensive business is discussed. In these concerns the problems of an industrial technologies development with use of the nano- and microstructures on the nuclear membranes base are considered. The items of the scientific environment formation on the Inter-disciplinary research complex are analyzed. The book is intended for engineers, postgraduates and students specializing in the field of nuclear physics, radiation solid state physics, physics of films and coatings, accelerator technique, material modification with use of charged particles beams

  5. Conquering complexity - Dealing with uncertainty and ambiguity in water management

    NARCIS (Netherlands)

    Hommes, Saskia

    2008-01-01

    Water management problems are embedded in a natural and social system that is characterized by complexity. Knowledge uncertainty and the existence of divergent actors’ perceptions contribute to this complexity. Consequently, dealing with water management issues is not just a knowledge uncertainty

  6. On the Limitations of Biological Knowledge

    Science.gov (United States)

    Dougherty, Edward R; Shmulevich, Ilya

    2012-01-01

    Scientific knowledge is grounded in a particular epistemology and, owing to the requirements of that epistemology, possesses limitations. Some limitations are intrinsic, in the sense that they depend inherently on the nature of scientific knowledge; others are contingent, depending on the present state of knowledge, including technology. Understanding limitations facilitates scientific research because one can then recognize when one is confronted by a limitation, as opposed to simply being unable to solve a problem within the existing bounds of possibility. In the hope that the role of limiting factors can be brought more clearly into focus and discussed, we consider several sources of limitation as they apply to biological knowledge: mathematical complexity, experimental constraints, validation, knowledge discovery, and human intellectual capacity. PMID:23633917

  7. Rare event simulation using Monte Carlo methods

    CERN Document Server

    Rubino, Gerardo

    2009-01-01

    In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication network of a group of banks, leading to financial losses. Being able to evaluate the probability of rare events is therefore a critical issue. Monte Carlo Methods, the simulation of corresponding models, are used to analyze rare events. This book sets out to present the mathematical tools available for the efficient simulation of rare events. Importance sampling and splitting are presented along with an exposition of how to apply these tools to a variety of fields ranging from performance and dependability evaluation of complex systems, typically in computer science or in telecommunications, to chemical reaction analysis in biology or particle transport in physics. ...

  8. The Smart Residential Complex Effect on Personality Formation of Children

    Directory of Open Access Journals (Sweden)

    Seyed Kasra Mirpadyab

    2017-06-01

    Full Text Available The interaction between human beings and the environment has been a question of all times; however, the Industrial Revolution has begun to change its way. It can be seen that the human beings were a part of their environment in the past, but now with the advancement of knowledge and technology, the man can dominate in their environment. But today, the man’s needs should be well known about the interaction with the natural environment and with respect to the position of the residential complexes in the modern society, these buildings are designed to create the psychological comfort and the formation of the personality. The authors of this paper believe the mentioned event will be happening in the future generation of the buildings. These buildings will be equipped with smart automation system for all their activities. This research conducted by grounded theories about the explanation of the smart residential complexes equipped with the BMS, which can be effective for shaping the managerial character of the children in their future.

  9. Source complexity of the May 20, 2012, Mw 5.9, Ferrara (Italy event

    Directory of Open Access Journals (Sweden)

    Davide Piccinini

    2012-10-01

    Full Text Available A Mw 3.9 foreshock on May 19, 2012, at 23:13 UTC, was followed at 02:03 on May 20, 2012, by a Mw 5.9 earthquake that hit a densely populated area in the Po Plain, west of the city of Ferrara, Italy (Figure 1. Over the subsequent 13 days, six Mw >5 events occurred; of these, the most energetic was a Mw 5.8 earthquake on May 29, 2012, 12 km WSW of the main shock. The tragic balance of this sequence was 17 casualties, hundreds of injured, and severe damage to the historical and cultural heritage of the area. From a seismological point of view, the 2012 earthquake was not an outstanding event in its regional context. The same area was hit in 1996 by a Mw 5.4 earthquake [Selvaggi et al. 2001], and previously in 1986 and in 1967 (DBMI11 [Locati et al. 2011]. The most destructive historical event was the 1570, Imax 8 event, which struck the town of Ferrara [Guidoboni et al. 2007, Rovida et al. 2011]. The 2012 seismic sequence lasted for several weeks and probably developed on a well-known buried thrust fault [Basili et al. 2008, Toscani et al. 2009, DISS Working Group 2010], at depths between 2 km and 10-12 km. […

  10. Design knowledge management using configuration manager

    International Nuclear Information System (INIS)

    Kang, Mu Jin; Jung, Seung Hwan

    2000-01-01

    It is known that about 15 to 40 percent of total design time is spent on retrieving information such as standard parts, handbook data, engineering equations, previous designs. This paper describes a knowledge management system for machine tool design. Product structuring, change management, and complex design knowledge management are possible through the developed system. The system can speed up the design process by making necessary data instantly available as it is needed and keeping of all the relevant design information and knowledge including individual decisions, design intentions, documents, and drawings

  11. Metaphor and knowledge the challenges of writing science

    CERN Document Server

    Baake, Ken

    2003-01-01

    Analyzing the power of metaphor in the rhetoric of science, this book examines the use of words to express complex scientific concepts. Metaphor and Knowledge offers a sweeping history of rhetoric and metaphor in science, delving into questions about how language constitutes knowledge. Weaving together insights from a group of scientists at the Santa Fe Institute as they shape the new interdisciplinary field of complexity science, Ken Baake shows the difficulty of writing science when word meanings are unsettled, and he analyzes the power of metaphor in science.

  12. Measuring complexity in Brazilian economic crises.

    Science.gov (United States)

    Mortoza, Letícia P D; Piqueira, José R C

    2017-01-01

    Capital flows are responsible for a strong influence on the foreign exchange rates and stock prices macroeconomic parameters. In volatile economies, capital flows can change due to several types of social, political and economic events, provoking oscillations on these parameters, which are recognized as economic crises. This work aims to investigate how these two macroeconomic variables are related with crisis events by using the traditional complex measures due to Lopez-Mancini-Calbet (LMC) and to Shiner-Davison-Landsberg (SDL), that can be applied to any temporal series. Here, Ibovespa (Bovespa Stock Exchange main Index) and the "dollar-real" parity are the background for calculating the LMC and SDL complexity measures. By analyzing the temporal evolution of these measures, it is shown that they might be related to important events that occurred in the Brazilian economy.

  13. Memetic Algorithms, Domain Knowledge, and Financial Investing

    Science.gov (United States)

    Du, Jie

    2012-01-01

    While the question of how to use human knowledge to guide evolutionary search is long-recognized, much remains to be done to answer this question adequately. This dissertation aims to further answer this question by exploring the role of domain knowledge in evolutionary computation as applied to real-world, complex problems, such as financial…

  14. Research teams as complex systems: implications for knowledge management

    NARCIS (Netherlands)

    Vasileiadou, E.

    2012-01-01

    The recent increase in research collaboration creates the need to better understand the interaction between individual researchers and the collaborative team. The paper elaborates the conceptualisation of research teams as complex systems which emerge out of the local interactions of individual

  15. Current Knowledge and Recent Advances in Marine Dinoflagellate Transcriptomic Research

    Directory of Open Access Journals (Sweden)

    Muhamad Afiq Akbar

    2018-02-01

    Full Text Available Dinoflagellates are essential components in marine ecosystems, and they possess two dissimilar flagella to facilitate movement. Dinoflagellates are major components of marine food webs and of extreme importance in balancing the ecosystem energy flux in oceans. They have been reported to be the primary cause of harmful algae bloom (HABs events around the world, causing seafood poisoning and therefore having a direct impact on human health. Interestingly, dinoflagellates in the genus Symbiodinium are major components of coral reef foundations. Knowledge regarding their genes and genome organization is currently limited due to their large genome size and other genetic and cytological characteristics that hinder whole genome sequencing of dinoflagellates. Transcriptomic approaches and genetic analyses have been employed to unravel the physiological and metabolic characteristics of dinoflagellates and their complexity. In this review, we summarize the current knowledge and findings from transcriptomic studies to understand the cell growth, effects on environmental stress, toxin biosynthesis, dynamic of HABs, phylogeny and endosymbiosis of dinoflagellates. With the advancement of high throughput sequencing technologies and lower cost of sequencing, transcriptomic approaches will likely deepen our understanding in other aspects of dinoflagellates’ molecular biology such as gene functional analysis, systems biology and development of model organisms.

  16. The occurrence of adverse events potentially attributable to nursing care in medical units: cross sectional record review.

    Science.gov (United States)

    D'Amour, Danielle; Dubois, Carl-Ardy; Tchouaket, Eric; Clarke, Sean; Blais, Régis

    2014-06-01

    Ensuring the safety of hospitalized patients remains a major challenge for healthcare systems, and nursing services are at the center of hospital care. Yet our knowledge about safety of nursing care is quite limited. In fact, most earlier studies examined one, or at most two, indicators, thus presenting an incomplete picture of safety at an institutional or broader level. Furthermore, methodologies have differed from one study to another, making benchmarking difficult. The aim of this study was to describe the frequencies of six adverse events widely considered in the literature to be nursing-sensitive outcomes and to estimate the degree to which these events could be attributed to nursing care. Cross-sectional review of charts of 2699 patients hospitalized on 22 medical units in 11 hospitals in Quebec, Canada. The events included: pressure sores, falls, medication administration errors, pneumonias, urinary infections, and inappropriate use of restraints. Experienced nurse reviewers abstracted patients' charts based on a grid developed for the study. Patient-level risk for at least one of these six adverse events was 15.3%, ranging from 9% to 28% across units. Of the 412 patients who experienced an event, 30% experienced two or more, for a total of 568 events. The risk of experiencing an adverse event with consequences was 6.2%, with a unit-level range from 3.2% to 13.5%. Abstractors concluded that 76.8% of the events were attributable to nursing care. While the measurement approach adopted here has limitations stemming from reliance on review of documentation, it provided a practical means of assessing several nursing-sensitive adverse events simultaneously. Given that patient safety issues are so complex, tracking their prevalence and impact is important, as is finding means of evaluating progress in reducing them. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

  17. The cost of conservative synchronization in parallel discrete event simulations

    Science.gov (United States)

    Nicol, David M.

    1990-01-01

    The performance of a synchronous conservative parallel discrete-event simulation protocol is analyzed. The class of simulation models considered is oriented around a physical domain and possesses a limited ability to predict future behavior. A stochastic model is used to show that as the volume of simulation activity in the model increases relative to a fixed architecture, the complexity of the average per-event overhead due to synchronization, event list manipulation, lookahead calculations, and processor idle time approach the complexity of the average per-event overhead of a serial simulation. The method is therefore within a constant factor of optimal. The analysis demonstrates that on large problems--those for which parallel processing is ideally suited--there is often enough parallel workload so that processors are not usually idle. The viability of the method is also demonstrated empirically, showing how good performance is achieved on large problems using a thirty-two node Intel iPSC/2 distributed memory multiprocessor.

  18. On uncertainty in information and ignorance in knowledge

    Science.gov (United States)

    Ayyub, Bilal M.

    2010-05-01

    This paper provides an overview of working definitions of knowledge, ignorance, information and uncertainty and summarises formalised philosophical and mathematical framework for their analyses. It provides a comparative examination of the generalised information theory and the generalised theory of uncertainty. It summarises foundational bases for assessing the reliability of knowledge constructed as a collective set of justified true beliefs. It discusses system complexity for ancestor simulation potentials. It offers value-driven communication means of knowledge and contrarian knowledge using memes and memetics.

  19. LHCb Online event processing and filtering

    Science.gov (United States)

    Alessio, F.; Barandela, C.; Brarda, L.; Frank, M.; Franek, B.; Galli, D.; Gaspar, C.; Herwijnen, E. v.; Jacobsson, R.; Jost, B.; Köstner, S.; Moine, G.; Neufeld, N.; Somogyi, P.; Stoica, R.; Suman, S.

    2008-07-01

    The first level trigger of LHCb accepts one million events per second. After preprocessing in custom FPGA-based boards these events are distributed to a large farm of PC-servers using a high-speed Gigabit Ethernet network. Synchronisation and event management is achieved by the Timing and Trigger system of LHCb. Due to the complex nature of the selection of B-events, which are the main interest of LHCb, a full event-readout is required. Event processing on the servers is parallelised on an event basis. The reduction factor is typically 1/500. The remaining events are forwarded to a formatting layer, where the raw data files are formed and temporarily stored. A small part of the events is also forwarded to a dedicated farm for calibration and monitoring. The files are subsequently shipped to the CERN Tier0 facility for permanent storage and from there to the various Tier1 sites for reconstruction. In parallel files are used by various monitoring and calibration processes running within the LHCb Online system. The entire data-flow is controlled and configured by means of a SCADA system and several databases. After an overview of the LHCb data acquisition and its design principles this paper will emphasize the LHCb event filter system, which is now implemented using the final hardware and will be ready for data-taking for the LHC startup. Control, configuration and security aspects will also be discussed.

  20. LHCb Online event processing and filtering

    International Nuclear Information System (INIS)

    Alessio, F; Barandela, C; Brarda, L; Frank, M; Gaspar, C; Herwijnen, E v; Jacobsson, R; Jost, B; Koestner, S; Moine, G; Neufeld, N; Somogyi, P; Stoica, R; Suman, S; Franek, B; Galli, D

    2008-01-01

    The first level trigger of LHCb accepts one million events per second. After preprocessing in custom FPGA-based boards these events are distributed to a large farm of PC-servers using a high-speed Gigabit Ethernet network. Synchronisation and event management is achieved by the Timing and Trigger system of LHCb. Due to the complex nature of the selection of B-events, which are the main interest of LHCb, a full event-readout is required. Event processing on the servers is parallelised on an event basis. The reduction factor is typically 1/500. The remaining events are forwarded to a formatting layer, where the raw data files are formed and temporarily stored. A small part of the events is also forwarded to a dedicated farm for calibration and monitoring. The files are subsequently shipped to the CERN Tier0 facility for permanent storage and from there to the various Tier1 sites for reconstruction. In parallel files are used by various monitoring and calibration processes running within the LHCb Online system. The entire data-flow is controlled and configured by means of a SCADA system and several databases. After an overview of the LHCb data acquisition and its design principles this paper will emphasize the LHCb event filter system, which is now implemented using the final hardware and will be ready for data-taking for the LHC startup. Control, configuration and security aspects will also be discussed

  1. Intra-firm knowledge transfer-a qualitative case study of knowledge transfer and its implications in a soft service firm

    OpenAIRE

    Zheleva, Denitsa; Viklund, Alexandra

    2014-01-01

    The following case study aims to explore the knowledge transfer and its implications in the context of a soft service firm. The complexity of knowledge itself and the knowledge transfer process in service firms brings new challenges. The phenomenon was investigated by the application of grounded theory. Interviews were conducted with employees at a company present in the Quick Service Restaurant segment. It resulted in several findings that were not reported by previous literature. Firstly, w...

  2. The interaction of combined effects of the BDNF and PRKCG genes and negative life events in major depressive disorder.

    Science.gov (United States)

    Yang, Chunxia; Sun, Ning; Liu, Zhifen; Li, Xinrong; Xu, Yong; Zhang, Kerang

    2016-03-30

    Major depressive disorder (MDD) is a mental disorder that results from complex interplay between multiple and partially overlapping sets of susceptibility genes and environmental factors. The brain derived neurotrophic factor (BDNF) and Protein kinase C gamma type (PRKCG) are logical candidate genes in MDD. Among diverse environmental factors, negative life events have been suggested to exert a crucial impact on brain development. In the present study, we hypothesized that interactions between genetic variants in BDNF and PRKCG and negative life events may play an important role in the development of MDD. We recruited a total of 406 patients with MDD and 391 age- and gender-matched control subjects. Gene-environment interactions were analyzed using generalized multifactor dimensionality reduction (GMDR). Under a dominant model, we observed a significant three-way interaction among BDNF rs6265, PRKCG rs3745406, and negative life events. The gene-environment combination of PRKCG rs3745406 C allele, BDNF rs6265 G allele and high level of negative life events (C-G-HN) was significantly associated with MDD (OR, 5.97; 95% CI, 2.71-13.15). To our knowledge, this is the first report of evidence that the BDNF-PRKCG interaction may modify the relationship between negative life events and MDD in the Chinese population. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  3. Learning Ecosystem Complexity: A Study on Small-Scale Fishers' Ecological Knowledge Generation

    Science.gov (United States)

    Garavito-Bermúdez, Diana

    2018-01-01

    Small-scale fisheries are learning contexts of importance for generating, transferring and updating ecological knowledge of natural environments through everyday work practices. The rich knowledge fishers have of local ecosystems is the result of the intimate relationship fishing communities have had with their natural environments across…

  4. Towards Knowledge Management for Smart Manufacturing.

    Science.gov (United States)

    Feng, Shaw C; Bernstein, William Z; Hedberg, Thomas; Feeney, Allison Barnard

    2017-09-01

    The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle-impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing. Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of smart manufacturing. The case study in this paper provides some example knowledge objects to enable smart manufacturing.

  5. Event marketing v komunikační strategii firmy

    OpenAIRE

    Pirunčíková, Jana

    2009-01-01

    This thesis deals with event marketing into integrated marketing communications. The main objective is to assess the effectiveness and appropriateness of selected methods in the selected company. The work is divided into theoretical and practical part. The first chapter describes the theoretical and the elements of marketing communication and clarifies the issue of event marketing. The theoretical knowledge applied in the Energy Media Publishing Ltd. and specifically its product - the magazin...

  6. Human reliability analysis using event trees

    International Nuclear Information System (INIS)

    Heslinga, G.

    1983-01-01

    The shut-down procedure of a technologically complex installation as a nuclear power plant consists of a lot of human actions, some of which have to be performed several times. The procedure is regarded as a chain of modules of specific actions, some of which are analyzed separately. The analysis is carried out by making a Human Reliability Analysis event tree (HRA event tree) of each action, breaking down each action into small elementary steps. The application of event trees in human reliability analysis implies more difficulties than in the case of technical systems where event trees were mainly used until now. The most important reason is that the operator is able to recover a wrong performance; memory influences play a significant role. In this study these difficulties are dealt with theoretically. The following conclusions can be drawn: (1) in principle event trees may be used in human reliability analysis; (2) although in practice the operator will recover his fault partly, theoretically this can be described as starting the whole event tree again; (3) compact formulas have been derived, by which the probability of reaching a specific failure consequence on passing through the HRA event tree after several times of recovery is to be calculated. (orig.)

  7. A cognitive prosthesis for complex decision-making.

    Science.gov (United States)

    Tremblay, Sébastien; Gagnon, Jean-François; Lafond, Daniel; Hodgetts, Helen M; Doiron, Maxime; Jeuniaux, Patrick P J M H

    2017-01-01

    While simple heuristics can be ecologically rational and effective in naturalistic decision making contexts, complex situations require analytical decision making strategies, hypothesis-testing and learning. Sub-optimal decision strategies - using simplified as opposed to analytic decision rules - have been reported in domains such as healthcare, military operational planning, and government policy making. We investigate the potential of a computational toolkit called "IMAGE" to improve decision-making by developing structural knowledge and increasing understanding of complex situations. IMAGE is tested within the context of a complex military convoy management task through (a) interactive simulations, and (b) visualization and knowledge representation capabilities. We assess the usefulness of two versions of IMAGE (desktop and immersive) compared to a baseline. Results suggest that the prosthesis helped analysts in making better decisions, but failed to increase their structural knowledge about the situation once the cognitive prosthesis is removed. Copyright © 2016 Elsevier Ltd. All rights reserved.

  8. Fostering Organizational Innovation based on modeling the Marketing Research Process through Event-driven Process Chain (EPC

    Directory of Open Access Journals (Sweden)

    Elena Fleacă

    2016-11-01

    Full Text Available Enterprises competing in an actual business framework are required to win and maintain their competitiveness by flexibility, fast reaction and conformation to the changing customers' needs based on innovation of work related to products, services, and internal processes. The paper addresses these challenges which gain more complex bonds in a case of high pressure for innovation. The methodology commences with a literature review of the current knowledge on innovation through business processes management. Secondly, it has been applied the Event-driven Process Chain tool from the scientific literature to model the variables of marketing research process. The findings highlight benefits of marketing research workflow that enhances the value of market information while reducing costs of obtaining it, in a coherent way.

  9. Corpuscular event-by-event simulation of quantum optics experiments: application to a quantum-controlled delayed-choice experiment

    International Nuclear Information System (INIS)

    De Raedt, Hans; Delina, M; Jin, Fengping; Michielsen, Kristel

    2012-01-01

    A corpuscular simulation model of optical phenomena that does not require knowledge of the solution of a wave equation of the whole system and reproduces the results of Maxwell's theory by generating detection events one by one is discussed. The event-based corpuscular model gives a unified description of multiple-beam fringes of a plane parallel plate and a single-photon Mach-Zehnder interferometer, Wheeler's delayed choice, photon tunneling, quantum eraser, two-beam interference, Einstein-Podolsky-Rosen-Bohm and Hanbury Brown-Twiss experiments. The approach is illustrated by applying it to a recent proposal for a quantum-controlled delayed choice experiment, demonstrating that also this thought experiment can be understood in terms of particle processes only.

  10. Translation, the Knowledge Economy, and Crossing Boundaries in Contemporary Education

    Science.gov (United States)

    Chen, Yun-Shiuan

    2016-01-01

    Significant developments in the global economy and information technology have been accompanied by a transformation in the nature and process of knowledge production and dissemination. Concepts such as the knowledge economy or creative economy have been formulated to accommodate the new and complex developments in knowledge, creativity, economy,…

  11. Diet Activity Characteristic of Large-scale Sports Events Based on HACCP Management Model

    OpenAIRE

    Xiao-Feng Su; Li Guo; Li-Hua Gao; Chang-Zhuan Shao

    2015-01-01

    The study proposed major sports events dietary management based on "HACCP" management model. According to the characteristic of major sports events catering activities. Major sports events are not just showcase level of competitive sports activities which have become comprehensive special events including social, political, economic, cultural and other factors, complex. Sporting events conferred reach more diverse goals and objectives of economic, political, cultural, technological and other ...

  12. The magical activation of left amygdala when reading Harry Potter: an fMRI study on how descriptions of supra-natural events entertain and enchant.

    Directory of Open Access Journals (Sweden)

    Chun-Ting Hsu

    Full Text Available Literature containing supra-natural, or magical events has enchanted generations of readers. When reading narratives describing such events, readers mentally simulate a text world different from the real one. The corresponding violation of world-knowledge during this simulation likely increases cognitive processing demands for ongoing discourse integration, catches readers' attention, and might thus contribute to the pleasure and deep emotional experience associated with ludic immersive reading. In the present study, we presented participants in an MR scanner with passages selected from the Harry Potter book series, half of which described magical events, while the other half served as control condition. Passages in both conditions were closely matched for relevant psycholinguistic variables including, e.g., emotional valence and arousal, passage-wise mean word imageability and frequency, and syntactic complexity. Post-hoc ratings showed that readers considered supra-natural contents more surprising and more strongly associated with reading pleasure than control passages. In the fMRI data, we found stronger neural activation for the supra-natural than the control condition in bilateral inferior frontal gyri, bilateral inferior parietal lobules, left fusiform gyrus, and left amygdala. The increased activation in the amygdala (part of the salience and emotion processing network appears to be associated with feelings of surprise and the reading pleasure, which supra-natural events, full of novelty and unexpectedness, brought about. The involvement of bilateral inferior frontal gyri likely reflects higher cognitive processing demand due to world knowledge violations, whereas increased attention to supra-natural events is reflected in inferior frontal gyri and inferior parietal lobules that are part of the fronto-parietal attention network.

  13. The magical activation of left amygdala when reading Harry Potter: an fMRI study on how descriptions of supra-natural events entertain and enchant.

    Science.gov (United States)

    Hsu, Chun-Ting; Jacobs, Arthur M; Altmann, Ulrike; Conrad, Markus

    2015-01-01

    Literature containing supra-natural, or magical events has enchanted generations of readers. When reading narratives describing such events, readers mentally simulate a text world different from the real one. The corresponding violation of world-knowledge during this simulation likely increases cognitive processing demands for ongoing discourse integration, catches readers' attention, and might thus contribute to the pleasure and deep emotional experience associated with ludic immersive reading. In the present study, we presented participants in an MR scanner with passages selected from the Harry Potter book series, half of which described magical events, while the other half served as control condition. Passages in both conditions were closely matched for relevant psycholinguistic variables including, e.g., emotional valence and arousal, passage-wise mean word imageability and frequency, and syntactic complexity. Post-hoc ratings showed that readers considered supra-natural contents more surprising and more strongly associated with reading pleasure than control passages. In the fMRI data, we found stronger neural activation for the supra-natural than the control condition in bilateral inferior frontal gyri, bilateral inferior parietal lobules, left fusiform gyrus, and left amygdala. The increased activation in the amygdala (part of the salience and emotion processing network) appears to be associated with feelings of surprise and the reading pleasure, which supra-natural events, full of novelty and unexpectedness, brought about. The involvement of bilateral inferior frontal gyri likely reflects higher cognitive processing demand due to world knowledge violations, whereas increased attention to supra-natural events is reflected in inferior frontal gyri and inferior parietal lobules that are part of the fronto-parietal attention network.

  14. Urban Knowledge Arena

    Directory of Open Access Journals (Sweden)

    Karel Schmeidler

    2008-01-01

    Full Text Available COST Action C20 – Urban Knowledge Arena is research programme supported by European Co-operation in the Field of Scientific and Technical Research. It is co-ordinated by COST Office and European Science Foundation. The main objective of this Action is to explore and develop a European Arena for cross boundary, integrated knowledge and Know-how on complex urban problems, which is termed Urban Knowledge Arena. The COST Domain Transport and Urban Development aims at fostering international research networking activities of scientist and experts dealing with transport systems and infrastructures, spatial planning, urban land use and development, urban design, architecture and design and civil engineering issues. The focus is on multi and interdisciplinary approaches and the aim is to cover both basic and applied research activities and their changeovers that are relevant to policy and decision making processes. A significant concern is devoted to activities exploring new research needs and developments.

  15. Hyaluronidase: Understanding Its Properties and Clinical Application for Cosmetic Injection Adverse Events.

    Science.gov (United States)

    Harrison, Jeanine; Rhodes, Oriol

    The recent global consensus on the management of cosmetic aesthetic injectable complications from hyaluronic acid (HA) has increased the focus on the use of hyaluronidase more than ever before (M. Signorini et al., 2016). A comprehensive knowledge of facial anatomy, including structural positioning of facial arteries and veins, and an extensive knowledge of HA products available for injection procedures, combined with best practice protocols, will assist to prevent adverse events. Despite the growing number of patients using cosmetic fillers for facial restoration, the incidents incidence of adverse events remains low. Indeed, the avoidance of complications through safe and effective injection practice remains the key to preventing the need to use hyaluronidase.

  16. Measuring complexity in Brazilian economic crises.

    Directory of Open Access Journals (Sweden)

    Letícia P D Mortoza

    Full Text Available Capital flows are responsible for a strong influence on the foreign exchange rates and stock prices macroeconomic parameters. In volatile economies, capital flows can change due to several types of social, political and economic events, provoking oscillations on these parameters, which are recognized as economic crises. This work aims to investigate how these two macroeconomic variables are related with crisis events by using the traditional complex measures due to Lopez-Mancini-Calbet (LMC and to Shiner-Davison-Landsberg (SDL, that can be applied to any temporal series. Here, Ibovespa (Bovespa Stock Exchange main Index and the "dollar-real" parity are the background for calculating the LMC and SDL complexity measures. By analyzing the temporal evolution of these measures, it is shown that they might be related to important events that occurred in the Brazilian economy.

  17. Negotiated complexity in ecostystem services science and policy making

    OpenAIRE

    Keune, Hans; Dendoncker, Nicolas

    2014-01-01

    Abstract: Its a long way from scientific knowledge to concrete policy action. Along the way many decisions have to be made. A lot of these decisions relate to setting priorities. With regard to policy uptake of scientific knowledge on ecosystem services, the need for an integrated decision-making framework is crucial. Framing complexity is a crucial aspect of any ecosystem services approach: How do we deal with ecological and social complexity? The complexity to be taken into account and the ...

  18. A knowledge acquisition process to analyse operational problems in solid waste management facilities.

    Science.gov (United States)

    Dokas, Ioannis M; Panagiotakopoulos, Demetrios C

    2006-08-01

    The available expertise on managing and operating solid waste management (SWM) facilities varies among countries and among types of facilities. Few experts are willing to record their experience, while few researchers systematically investigate the chains of events that could trigger operational failures in a facility; expertise acquisition and dissemination, in SWM, is neither popular nor easy, despite the great need for it. This paper presents a knowledge acquisition process aimed at capturing, codifying and expanding reliable expertise and propagating it to non-experts. The knowledge engineer (KE), the person performing the acquisition, must identify the events (or causes) that could trigger a failure, determine whether a specific event could trigger more than one failure, and establish how various events are related among themselves and how they are linked to specific operational problems. The proposed process, which utilizes logic diagrams (fault trees) widely used in system safety and reliability analyses, was used for the analysis of 24 common landfill operational problems. The acquired knowledge led to the development of a web-based expert system (Landfill Operation Management Advisor, http://loma.civil.duth.gr), which estimates the occurrence possibility of operational problems, provides advice and suggests solutions.

  19. Young Children's Knowledge about the Moon: A Complex Dynamic System

    Science.gov (United States)

    Venville, Grady J.; Louisell, Robert D.; Wilhelm, Jennifer A.

    2012-01-01

    The purpose of this research was to use a multidimensional theoretical framework to examine young children's knowledge about the Moon. The research was conducted in the interpretive paradigm and the design was a multiple case study of ten children between the ages of three and eight from the USA and Australia. A detailed, semi-structured interview…

  20. The BioIntelligence Framework: a new computational platform for biomedical knowledge computing.

    Science.gov (United States)

    Farley, Toni; Kiefer, Jeff; Lee, Preston; Von Hoff, Daniel; Trent, Jeffrey M; Colbourn, Charles; Mousses, Spyro

    2013-01-01

    Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information.

  1. Linking a Conceptual Framework on Systems Thinking with Experiential Knowledge

    Science.gov (United States)

    Garavito-Bermúdez, Diana; Lundholm, Cecilia; Crona, Beatrice

    2016-01-01

    This paper addresses a systemic approach for the study of fishers' ecological knowledge in order to describe fishers' ways of knowing and dealing with complexity in ecosystems, and discusses how knowledge is generated through, e.g. apprenticeship, experiential knowledge, and testing of hypotheses. The description and analysis of fishers'…

  2. Knowledge Engineering for Embedded Configuration

    DEFF Research Database (Denmark)

    Oddsson, Gudmundur Valur

    2008-01-01

    into the system the knowledge needed to achieve them. In order to understand the system, one draws simplified functional streams and identifies archetypes from the product assortment, and then one maps the two together into a system breakdown model. The system model indicates how many encapsulation models (EMs......This thesis presents a way to simplify setup of complex product systems with the help of embedded configuration. To achieve this, one has to focus on what subsystems need to communicate between themselves. The required internal knowledge is then structured at three abstraction levels......, and predefined relation types are suggested. The models are stringent and thought out so they can be implemented in software. They should allow both import and export of product knowledge from the knowledge-based system. The purpose of this work is to simplify the installation process of product systems...

  3. LCG MCDB - a Knowledgebase of Monte Carlo Simulated Events

    CERN Document Server

    Belov, S; Galkin, E; Gusev, A; Pokorski, Witold; Sherstnev, A V

    2008-01-01

    In this paper we report on LCG Monte Carlo Data Base (MCDB) and software which has been developed to operate MCDB. The main purpose of the LCG MCDB project is to provide a storage and documentation system for sophisticated event samples simulated for the LHC collaborations by experts. In many cases, the modern Monte Carlo simulation of physical processes requires expert knowledge in Monte Carlo generators or significant amount of CPU time to produce the events. MCDB is a knowledgebase mainly to accumulate simulated events of this type. The main motivation behind LCG MCDB is to make the sophisticated MC event samples available for various physical groups. All the data from MCDB is accessible in several convenient ways. LCG MCDB is being developed within the CERN LCG Application Area Simulation project.

  4. Instructional Design as Knowledge Management: A Knowledge-in-Practice Approach to Choosing Instructional Methods

    Science.gov (United States)

    McIver, Derrick; Fitzsimmons, Stacey; Flanagan, David

    2016-01-01

    Decisions about instructional methods are becoming more complex, with options ranging from problem sets to experiential service-learning projects. However, instructors not trained in instructional design may make these important decisions based on convenience, comfort, or trends. Instead, this article draws on the knowledge management literature…

  5. Decision-theoretic approaches to non-knowledge in economics

    OpenAIRE

    Svetlova, Ekaterina; van Elst, Henk

    2014-01-01

    We review two strands of conceptual approaches to the formal representation of a decision maker's non-knowledge at the initial stage of a static one-person, one-shot decision problem in economic theory. One focuses on representations of non-knowledge in terms of probability measures over sets of mutually exclusive and exhaustive consequence-relevant states of Nature, the other deals with unawareness of potentially important events by means of sets of states that are less complete than the ful...

  6. Investigating Knowledge Transfer Mechanisms for Oil Rigs

    DEFF Research Database (Denmark)

    Vianello, Giovanna; Ahmed, Saeema

    2009-01-01

    It is widely recognized, both in industry and academia, that clear strategies in knowledge transfer positively influence the success of a firm. A firm should support the transfer of knowledge by standardizing communication channels within and across departments, based upon personalization......, codification or a combination of these two strategies. The characteristics of the business influence the choice of communication channels used for knowledge transfer. This paper presents a case study exploring the transfer of knowledge within and across projects, specifically the transfer of service knowledge...... in the case of complex machinery. The strategies used for knowledge transfer were analysed and compared with the expected transfer mechanisms, similarities and differences were investigated and are described. A family of four identical rigs for offshore drilling was the selected case. The transfer...

  7. From IHE Audit Trails to XES Event Logs Facilitating Process Mining.

    Science.gov (United States)

    Paster, Ferdinand; Helm, Emmanuel

    2015-01-01

    Recently Business Intelligence approaches like process mining are applied to the healthcare domain. The goal of process mining is to gain process knowledge, compliance and room for improvement by investigating recorded event data. Previous approaches focused on process discovery by event data from various specific systems. IHE, as a globally recognized basis for healthcare information systems, defines in its ATNA profile how real-world events must be recorded in centralized event logs. The following approach presents how audit trails collected by the means of ATNA can be transformed to enable process mining. Using the standardized audit trails provides the ability to apply these methods to all IHE based information systems.

  8. 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.

  9. Root Cause Analysis Following an Event at a Nuclear Installation: Reference Manual

    International Nuclear Information System (INIS)

    2015-01-01

    Following an event at a nuclear installation, it is important to determine accurately its root causes so that effective corrective actions can be implemented. As stated in IAEA Safety Standards Series No. SF-1, Fundamental Safety Principles: “Processes must be put in place for the feedback and analysis of operating experience”. If this process is completed effectively, the probability of a similar event occurring is significantly reduced. Guidance on how to establish and implement such a process is given in IAEA Safety Standards Series No. NS-G-2.11, A System for the Feedback of Experience from Events in Nuclear Installations. To cater for the diverse nature of operating experience events, several different root cause analysis (RCA) methodologies and techniques have been developed for effective investigation and analysis. An event here is understood as any unanticipated sequence of occurrences that results in, or potentially results in, consequences to plant operation and safety. RCA is not a topic uniquely relevant to event investigators: knowledge of the concepts enhances the learning characteristics of the whole organization. This knowledge also makes a positive contribution to nuclear safety and helps to foster a culture of preventing event occurrence. This publication allows organizations to deepen their knowledge of these methodologies and techniques and also provides new organizations with a broad overview of the RCA process. It is the outcome of a coordinated effort involving the participation of experts from nuclear organizations, the energy industry and research centres in several Member States. This publication also complements IAEA Services Series No. 10, PROSPER Guidelines: Guidelines for Peer Review and for Plant Self- Assessment of Operational Experience Feedback Process, and is intended to form part of a suite of publications developing the principles set forth in these guidelines. In addition to the information and description of RCA

  10. Identifying Barriers to Knowledge Management in the US Military

    Science.gov (United States)

    2002-12-16

    Knowledge Age In his 1980s best-seller, Megatrends , John Naisbitt proposed that our industrial society had transformed itself into an information society...considered to be representations of the world that consist of objects and events, and the challenge of a cognitive system, computational or biological ...Naisbitt, J. (1984). Megatrends . New York: Warner Books, Inc. Nguyen, B. (2000). Building a Knowledge-Centric United States Air Force. 1250 AF

  11. Multiple alteration events in the East Bull Lake anorthosite-gabbro layered complex, NE Ontario, Canada: evidence from fracture mineralogy and 40Ar-39Ar dating

    International Nuclear Information System (INIS)

    Kamineni, D.C.; McCrank, G.F.; Stone, D.; Geological Survey of Canada, Ottawa, Ontario)

    1987-01-01

    The East Bull Lake anorthosite-gabbro layered complex contains a variety of alteration minerals. Some of the more common ones are calcic amphiboles, biotite, epidote, adularia, quartz, chlorite, calcite, prehnite, pumpellyite, laumontite, gypsum, iron hydroxides and clays. The mode of occurrence and the data related to the stability of the alteration minerals suggest that they were formed under pressure-temperature conditions of: (1) epidote-amphibolite/greenschist facies; (2) prehnite-pumpellyite facies; (3) zeolite facies; and (4) low-temperature mineral facies. 40 Ar- 39 Ar data of hornblende and adularia indicate that the pluton is affected by distinct alteration events. Two mafic dyke intrusions, that overlap the alteration events, are recognised in the pluton. Synthesis of available radiometric ages suggests that the pluton intruded at 2472 +- 70 Ma, and was subjected to alteration as late as the Paleozoic and Cenozoic Eras. (author)

  12. Nurse willingness to report for work in the event of an earthquake in Israel.

    Science.gov (United States)

    Ben Natan, Merav; Nigel, Simon; Yevdayev, Innush; Qadan, Mohamad; Dudkiewicz, Mickey

    2014-10-01

    To examine variables affecting nurse willingness to report for work in the event of an earthquake in Israel and whether this can be predicted through the Theory of Self-Efficacy. The nursing profession has a major role in preparing for earthquakes. Nurse willingness to report to work in the event of an earthquake has never before been examined. Self-administered questionnaires were distributed among a convenience sample of 400 nurses and nursing students in Israel during January-April 2012. High willingness to report to work in the event of an earthquake was declared by 57% of respondents. High perceived self-efficacy, level of knowledge and experience predict willingness to report to work in the event of an earthquake. Multidisciplinary collaboration and support was also cited as a meaningful factor. Perceived self-efficacy, level of knowledge, experience and the support of a multidisciplinary staff affect nurse willingness to report to work in the event of an earthquake. Nurse managers can identify factors that increase nurse willingness to report to work in the event of an earthquake and consequently develop strategies for more efficient management of their nursing workforce. © 2013 John Wiley & Sons Ltd.

  13. Supporting Knowledge Transfer in IS Deployment Projects

    Science.gov (United States)

    Schönström, Mikael

    To deploy new information systems is an expensive and complex task, and does seldom result in successful usage where the system adds strategic value to the firm (e.g. Sharma et al. 2003). It has been argued that innovation diffusion is a knowledge integration problem (Newell et al. 2000). Knowledge about business processes, deployment processes, information systems and technology are needed in a large-scale deployment of a corporate IS. These deployments can therefore to a large extent be argued to be a knowledge management (KM) problem. An effective deployment requires that knowledge about the system is effectively transferred to the target organization (Ko et al. 2005).

  14. Event Memory: A Theory of Memory for Laboratory, Autobiographical, and Fictional Events

    Science.gov (United States)

    Rubin, David C.; Umanath, Sharda

    2015-01-01

    An event memory is a mental construction of a scene recalled as a single occurrence. It therefore requires the hippocampus and ventral visual stream needed for all scene construction. The construction need not come with a sense of reliving or be made by a participant in the event, and it can be a summary of occurrences from more than one encoding. The mental construction, or physical rendering, of any scene must be done from a specific location and time; this introduces a ‘self’ located in space and time, which is a necessary, but need not be a sufficient, condition for a sense of reliving. We base our theory on scene construction rather than reliving because this allows the integration of many literatures and because there is more accumulated knowledge about scene construction’s phenomenology, behavior, and neural basis. Event memory differs from episodic memory in that it does not conflate the independent dimensions of whether or not a memory is relived, is about the self, is recalled voluntarily, or is based on a single encoding with whether it is recalled as a single occurrence of a scene. Thus, we argue that event memory provides a clearer contrast to semantic memory, which also can be about the self, be recalled voluntarily, and be from a unique encoding; allows for a more comprehensive dimensional account of the structure of explicit memory; and better accounts for laboratory and real world behavioral and neural results, including those from neuropsychology and neuroimaging, than does episodic memory. PMID:25330330

  15. The Process of Solving Complex Problems

    Science.gov (United States)

    Fischer, Andreas; Greiff, Samuel; Funke, Joachim

    2012-01-01

    This article is about Complex Problem Solving (CPS), its history in a variety of research domains (e.g., human problem solving, expertise, decision making, and intelligence), a formal definition and a process theory of CPS applicable to the interdisciplinary field. CPS is portrayed as (a) knowledge acquisition and (b) knowledge application…

  16. Knowledge systems of societies for adaptation and mitigation of impacts of climate change

    International Nuclear Information System (INIS)

    Nautiyal, Sunil; Raju, K.V.; Rao, K.S.; Kaechele, Harald; Schaldach, Ruediger

    2013-01-01

    Climate change is broadly recognized as a key environmental issue affecting social and ecological systems worldwide. At the Cancun summit of the United Nations Framework Convention on Climate Change's 16th Conference, the parties jointly agreed that the vulnerable groups particularly in developing countries and whose livelihood is based on land use practices are the most common victims as in most cases their activities are shaped by the climate. Therefore, solving the climate dilemma through mitigation processes and scientific research is an ethical concern. Thus combining the knowledge systems of the societies and scientific evidences can greatly assist in the creation of coping mechanisms for sustainable development in a situation of changing climate. International Humboldt Kolleg focusing on ''knowledge systems of societies and Climate Change'' was organized at ISEC. This event was of unique importance, as the year 2011-12 was celebrated as the 60th Anniversary of Diplomatic Relations between India and Germany with the motto ''Germany and India - Infinite Opportunities.'' This volume is the outcome of the papers presented during the IHK 2011 at ISEC, India. It reports on the present knowledge systems in a third world country which has always practiced a live and let live philosophy. Furthermore it provides valuable information for understanding the complexity of socio-ecological systems in relation to the projected impacts of climate change.

  17. Discrete Event Simulation of Distributed Team Communication

    Science.gov (United States)

    2012-03-22

    performs, and auditory information that is provided through multiple audio devices with speech response. This paper extends previous discrete event workload...2008, pg. 1) notes that “Architecture modeling furnishes abstrac- tions for use in managing complexities, allowing engineers to visualise the proposed

  18. The kinds of knowledge principals use: Implications for training

    Directory of Open Access Journals (Sweden)

    Angeliki Lazaridou

    2009-01-01

    Full Text Available Information about how school principals operate pertains mainly to the actions of principals. However, the kinds of knowledge that the principalship demands have not been isolated as clearly, more often than not being conflated with actions. As principals’ duties become more complex, it becomes more important to ground specific practices in robust knowledge of relevant theoretical principles. One aspect of the principal’s job where this is particularly germane is the resolution of unfamiliar, complex, unstructured challenges. This paper presents findings from research into how principals think when dealing with problematic situations, in particular the types of knowledge they use. Four broad categories of knowledge were identified and, within those, twelve specific types. The research lends credence to the oral report or think-aloud method for making thinking processes available for analysis, and the findings indicate how the content of preparation programs may be adjusted to better qualify principals for the contemporary demands of their work. A prime recommendation is the inclusion of opportunities for the development of tacit knowledge.

  19. LIU 2011 event

    CERN Multimedia

    BE Department

    2011-01-01

    The LHC injectors upgrade (LIU) project was launched at the end of 2010 to coordinate the preparation of the CERN accelerator complex to meet the needs of the High Luminosity LHC (HL-LHC) until at least 2030. It should be completed by the end of the second long LHC shutdown, presently scheduled for 2018.   The goal of the LIU-2011 event is to present the status and plans of the LIU project, describing the needs and the actions foreseen in the different accelerators, from Linac4 to the PSB, PS and SPS.  

  20. The acknowledge project: toward improved efficiency in the knowledge acquisition process

    International Nuclear Information System (INIS)

    Marty, J.C.; Ramparany, F.

    1990-01-01

    This paper presents a general overview of the ACKnowledge Project (Acquisition of Knowledge). Knowledge Acquisition is a critical and time-consuming phase in the development of expert systems. The ACKnowledge project aims at improving the efficiency of knowledge acquisition by analyzing and evaluating knowledge acquisition techniques, and developing a Knowledge Engineering Workbench that supports the Knowledge Engineer from the early stage of knowledge aquisition up to the implementation of the knowledge base in large and complex application domains such as the diagnosis of dynamic computer networks

  1. Negated bio-events: analysis and identification

    Science.gov (United States)

    2013-01-01

    Background Negation occurs frequently in scientific literature, especially in biomedical literature. It has previously been reported that around 13% of sentences found in biomedical research articles contain negation. Historically, the main motivation for identifying negated events has been to ensure their exclusion from lists of extracted interactions. However, recently, there has been a growing interest in negative results, which has resulted in negation detection being identified as a key challenge in biomedical relation extraction. In this article, we focus on the problem of identifying negated bio-events, given gold standard event annotations. Results We have conducted a detailed analysis of three open access bio-event corpora containing negation information (i.e., GENIA Event, BioInfer and BioNLP’09 ST), and have identified the main types of negated bio-events. We have analysed the key aspects of a machine learning solution to the problem of detecting negated events, including selection of negation cues, feature engineering and the choice of learning algorithm. Combining the best solutions for each aspect of the problem, we propose a novel framework for the identification of negated bio-events. We have evaluated our system on each of the three open access corpora mentioned above. The performance of the system significantly surpasses the best results previously reported on the BioNLP’09 ST corpus, and achieves even better results on the GENIA Event and BioInfer corpora, both of which contain more varied and complex events. Conclusions Recently, in the field of biomedical text mining, the development and enhancement of event-based systems has received significant interest. The ability to identify negated events is a key performance element for these systems. We have conducted the first detailed study on the analysis and identification of negated bio-events. Our proposed framework can be integrated with state-of-the-art event extraction systems. The

  2. Next-generation mTOR inhibitors in clinical oncology: how pathway complexity informs therapeutic strategy.

    LENUS (Irish Health Repository)

    Wander, Seth A

    2011-04-01

    Mammalian target of rapamycin (mTOR) is a PI3K-related kinase that regulates cell growth, proliferation, and survival via mTOR complex 1 (mTORC1) and mTORC2. The mTOR pathway is often aberrantly activated in cancers. While hypoxia, nutrient deprivation, and DNA damage restrain mTORC1 activity, multiple genetic events constitutively activate mTOR in cancers. Here we provide a brief overview of the signaling pathways up- and downstream of mTORC1 and -2, and discuss the insights into therapeutic anticancer targets - both those that have been tried in the clinic with limited success and those currently under clinical development - that knowledge of these pathways gives us.

  3. Lean approach in knowledge work

    Directory of Open Access Journals (Sweden)

    Hanna Kropsu-Vehkapera

    2018-05-01

    Full Text Available Purpose: Knowledge work productivity is a key area of improvement for many organisations. Lean approach is a sustainable way to achieve operational excellence and can be applied in many areas. The purpose of this novel study is to examine the potential of using lean approach for improving knowledge work practices. Design/methodology/approach: A systematic literature review has been carried out to study how lean approach is realised in knowledge work. The research is conceptual in nature and draws upon earlier research findings. Findings: This study shows that lean studies’ in knowledge work is an emerging research area. This study documents the methods and practices implemented in knowledge work to date, and presents a knowledge work continuum, which is an essential framework for effective lean approach deployment and to frame future research focus in knowledge work productivity. Research limitations/implications: This study structures the concept of knowledge work and outlines a concrete concept derived from earlier literature. The study summarises the literature on lean in knowledge work and highlights, which methods are used. More research is needed to understand how lean can be implemented in complex knowledge work environment and not only on the repetitive knowledge work. The limitations of this research are due to the limited availability of previous research. Practical implications: To analyse the nature of knowledge work, we implicate the areas where lean methods especially apply to improving knowledge work productivity. When applying lean in knowledge work context the focus should be using the people better and improving information flow. Originality/value: This study focuses on adapting lean methods into a knowledge work context and summarises earlier research done in this field. The study discusses the potential to improve knowledge work productivity by implementing lean methods and presents a unique knowledge work continuum to

  4. Designing a fuzzy expert system for selecting knowledge management strategy

    OpenAIRE

    Ameneh Khadivar; Shohreh Nasri Nasr Abadi; Elham Fallah

    2014-01-01

    knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. The KM strategy selection is a complex decision that requires consideration of several factors. For evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. The identified factors and their impact on knowledge management strategy are inherently ambiguous. In this study, an overview of theoretical found...

  5. Enhancing Nurses Access for Care Quality and Knowledge through ...

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

    Enhancing Nurses Access for Care Quality and Knowledge through ... Special journal issue highlights IDRC-supported findings on women's paid work ... New website will help record vital life events to improve access to services for all.

  6. Ontology-based prediction of surgical events in laparoscopic surgery

    Science.gov (United States)

    Katić, Darko; Wekerle, Anna-Laura; Gärtner, Fabian; Kenngott, Hannes; Müller-Stich, Beat Peter; Dillmann, Rüdiger; Speidel, Stefanie

    2013-03-01

    Context-aware technologies have great potential to help surgeons during laparoscopic interventions. Their underlying idea is to create systems which can adapt their assistance functions automatically to the situation in the OR, thus relieving surgeons from the burden of managing computer assisted surgery devices manually. To this purpose, a certain kind of understanding of the current situation in the OR is essential. Beyond that, anticipatory knowledge of incoming events is beneficial, e.g. for early warnings of imminent risk situations. To achieve the goal of predicting surgical events based on previously observed ones, we developed a language to describe surgeries and surgical events using Description Logics and integrated it with methods from computational linguistics. Using n-Grams to compute probabilities of followup events, we are able to make sensible predictions of upcoming events in real-time. The system was evaluated on professionally recorded and labeled surgeries and showed an average prediction rate of 80%.

  7. COGNITIVE ASPECTS OF MODERN PHILOSOPHY OF HISTORICAL KNOWLEDGE

    Directory of Open Access Journals (Sweden)

    Spartak Sh. Aytov

    2014-06-01

    Full Text Available Purpose. The aim of this work is the intelligent reconstruction and the analysis of the various methodological approaches to cognitive areas of modern philosophy of history and determines their cognitive and academic relationships with conceptual terms of such branches of historical knowledge as historical anthropology. Methodology. Methodological tools of this work are such scientific approaches as methods of philosophy of science, interdisciplinary approach, methods of source and system analysis. Scientific novelty. Reproduced and analyzed was a number of methodological approaches inherent in the natural sciences and the social - the humanities. The latter, in accordance with the principles of interdisciplinary paradigm, is very widely applied by the modern philosophy of historical knowledge, in particular in the analysis of the historical process and its main elements: the mentality, attitudes and norms of socially significant and personal behavior of individuals and societies of the past. The influence of research on various historical and historical anthropological problems such concepts implanted in the methodology of modern philosophy of history scientific disciplines as chaos theory, synergetics, mathematical biology, ethnology, social psychology, etc. Focuses on intellectual connections are used in the philosophy of history, historical knowledge interdisciplinary methodology, theory and concepts of natural science and social - humanities. They are used to analyze and understand the complex and multifaceted historical events and processes. Conclusions. The result of the analysis of the cognitive dynamics applications in the philosophy of history of conceptual approaches of a very wide range of scientific disciplines has been the allocation of a number of phases of the mining process. Each of them has special logic - methodological and socio cultural characteristics ("Data". Internal, cognitive science dynamics of this unity was not the

  8. Cognitive Aspects of Modern Philosophy of Historical Knowledge

    Directory of Open Access Journals (Sweden)

    Spartak Sh. Aytov

    2014-06-01

    Full Text Available Purpose. The aim of this work is the intelligent reconstruction and the analysis of the various methodological approaches to cognitive areas of modern philosophy of history and determines their cognitive and academic relationships with conceptual terms of such branches of historical knowledge as historical anthropology. Methodology. Methodological tools of this work are such scientific approaches as methods of philosophy of science, interdisciplinary approach, methods of source and system analysis. Scientific novelty. Reproduced and analyzed was a number of methodological approaches inherent in the natural sciences and the social - the humanities. The latter, in accordance with the principles of interdisciplinary paradigm, is very widely applied by the modern philosophy of historical knowledge, in particular in the analysis of the historical process and its main elements: the mentality, attitudes and norms of socially significant and personal behavior of individuals and societies of the past. The influence of research on various historical and historical anthropological problems such concepts implanted in the methodology of modern philosophy of history scientific disciplines as chaos theory, synergetics, mathematical biology, ethnology, social psychology, etc. Focuses on intellectual connections are used in the philosophy of history, historical knowledge interdisciplinary methodology, theory and concepts of natural science and social - humanities. They are used to analyze and understand the complex and multifaceted historical events and processes. Conclusions. The result of the analysis of the cognitive dynamics applications in the philosophy of history of conceptual approaches of a very wide range of scientific disciplines has been the allocation of a number of phases of the mining process. Each of them has special logic - methodological and socio cultural characteristics ("Data". Internal, cognitive science dynamics of this unity was not the

  9. Leveraging the Power of Knowledge Management to Transform Global Health and Development.

    Science.gov (United States)

    Sullivan, Tara M; Limaye, Rupali J; Mitchell, Vanessa; D'Adamo, Margaret; Baquet, Zachary

    2015-04-27

    Good knowledge is essential to prevent disease and improve health. Knowledge management (KM) provides a systematic process and tools to promote access to and use of knowledge among health and development practitioners to improve health and development outcomes. KM tools range from publications and resources (briefs, articles, job aids) and products and services (websites, eLearning courses, mobile applications), to training and events (workshops, webinars, meetings) and approaches and techniques (peer assists, coaching, after-action reviews, knowledge cafés).

  10. Event history analysis and the cross-section

    DEFF Research Database (Denmark)

    Keiding, Niels

    2006-01-01

    Examples are given of problems in event history analysis, where several time origins (generating calendar time, age, disease duration, time on study, etc.) are considered simultaneously. The focus is on complex sampling patterns generated around a cross-section. A basic tool is the Lexis diagram....

  11. Managing interoperability and complexity in health systems.

    Science.gov (United States)

    Bouamrane, M-M; Tao, C; Sarkar, I N

    2015-01-01

    In recent years, we have witnessed substantial progress in the use of clinical informatics systems to support clinicians during episodes of care, manage specialised domain knowledge, perform complex clinical data analysis and improve the management of health organisations' resources. However, the vision of fully integrated health information eco-systems, which provide relevant information and useful knowledge at the point-of-care, remains elusive. This journal Focus Theme reviews some of the enduring challenges of interoperability and complexity in clinical informatics systems. Furthermore, a range of approaches are proposed in order to address, harness and resolve some of the many remaining issues towards a greater integration of health information systems and extraction of useful or new knowledge from heterogeneous electronic data repositories.

  12. Celestial delights the best astronomical events through 2020

    CERN Document Server

    Reddy, Francis

    2012-01-01

    Celestial Delights is the essential 'TV Guide' for the sky. Through extensive graphics integrated with an eight-year-long calendar of sky events, it provides a look at "don't miss" sky events, mostly for naked-eye and binocular observing. It is organized by ease of observation – lunar phases and the brighter planets come first, with solar eclipses, the aurora, and comets coming later. This third edition also includes a hefty dose of sky lore, astronomical history, and clear overviews of current science. It provides a handy reference to upcoming naked-eye events, with information broken out in clear and simple diagrams and tables that are cross-referenced against a detailed almanac for each year covered. This book puts a variety of information all in one place, presents it in a friendly way that does not require prior in-depth astronomical knowledge, and provides the context and historical background for understanding events that astronomy software or web sites lack.

  13. Knowledge Management Audit - a methodology and case study

    Directory of Open Access Journals (Sweden)

    Thomas Lauer

    2001-11-01

    Full Text Available The strategic importance of knowledge in today’s organisation has been discussed extensively and research has looked at various issues in developing knowledge management systems. Both the characterisation of knowledge and alternate models for understanding the acquisition and use of such knowledge have taken on significant prominence. This is due to the complexities associated with acquiring and representing knowledge, and the varied nature of its use in knowledge work. However, the role of the knowledge workers and the processes that guide their knowledge work as they meet the knowledge goals of an organisation have received little attention. This paper proposes a knowledge audit (an assessment of the way knowledge processes meet an organisation’s knowledge goals methodology to understand the “gaps” in the needs of a knowledge worker before one develops KM systems. The methodology also uses “process change” research to help build a socio-technical environment critical for knowledge work. The audit methodology is applied to a particular case and the implementation of the audit recommendations is discussed. Future implications of such an audit are also discussed.

  14. Modeling and simulation of discrete event systems

    CERN Document Server

    Choi, Byoung Kyu

    2013-01-01

    Computer modeling and simulation (M&S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more powerful and more widely used in solving real-life problems. Based on over 20 years of evolution within a classroom environment, as well as on decades-long experience in developing simulation-based solutions for high-tech industries, Modeling and Simulation of Discrete-Event Systems is the only book on

  15. Why Clinicians Don't Report Adverse Drug Events: Qualitative Study.

    Science.gov (United States)

    Hohl, Corinne M; Small, Serena S; Peddie, David; Badke, Katherin; Bailey, Chantelle; Balka, Ellen

    2018-02-27

    Adverse drug events are unintended and harmful events related to medications. Adverse drug events are important for patient care, quality improvement, drug safety research, and postmarketing surveillance, but they are vastly underreported. Our objectives were to identify barriers to adverse drug event documentation and factors contributing to underreporting. This qualitative study was conducted in 1 ambulatory center, and the emergency departments and inpatient wards of 3 acute care hospitals in British Columbia between March 2014 and December 2016. We completed workplace observations and focus groups with general practitioners, hospitalists, emergency physicians, and hospital and community pharmacists. We analyzed field notes by coding and iteratively analyzing our data to identify emerging concepts, generate thematic and event summaries, and create workflow diagrams. Clinicians validated emerging concepts by applying them to cases from their clinical practice. We completed 238 hours of observations during which clinicians investigated 65 suspect adverse drug events. The observed events were often complex and diagnosed over time, requiring the input of multiple providers. Providers documented adverse drug events in charts to support continuity of care but never reported them to external agencies. Providers faced time constraints, and reporting would have required duplication of documentation. Existing reporting systems are not suited to capture the complex nature of adverse drug events or adapted to workflow and are simply not used by frontline clinicians. Systems that are integrated into electronic medical records, make use of existing data to avoid duplication of documentation, and generate alerts to improve safety may address the shortcomings of existing systems and generate robust adverse drug event data as a by-product of safer care. ©Corinne M Hohl, Serena S Small, David Peddie, Katherin Badke, Chantelle Bailey, Ellen Balka. Originally published in JMIR

  16. Achieving High Resolution Timer Events in Virtualized Environment.

    Science.gov (United States)

    Adamczyk, Blazej; Chydzinski, Andrzej

    2015-01-01

    Virtual Machine Monitors (VMM) have become popular in different application areas. Some applications may require to generate the timer events with high resolution and precision. This however may be challenging due to the complexity of VMMs. In this paper we focus on the timer functionality provided by five different VMMs-Xen, KVM, Qemu, VirtualBox and VMWare. Firstly, we evaluate resolutions and precisions of their timer events. Apparently, provided resolutions and precisions are far too low for some applications (e.g. networking applications with the quality of service). Then, using Xen virtualization we demonstrate the improved timer design that greatly enhances both the resolution and precision of achieved timer events.

  17. THE QUESTION OF HUMANITARIAN KNOWLEDGE: THE ESSENCE, MAIN DIRECTIONS AND METHODS

    Directory of Open Access Journals (Sweden)

    Anatoly V. Zavrazhin

    2015-01-01

    Full Text Available In the article the author emphasizes the role and importance of humanitarian knowledge not only in education, training future professionals, but in an objective, true evaluation of the events which occur today in the modern world. Reveals the methodological foundations, purpose, main directions and methods of humanitarian knowledge. Highlighted the special role in the Humanities.

  18. Distributed, cooperating knowledge-based systems

    Science.gov (United States)

    Truszkowski, Walt

    1991-01-01

    Some current research in the development and application of distributed, cooperating knowledge-based systems technology is addressed. The focus of the current research is the spacecraft ground operations environment. The underlying hypothesis is that, because of the increasing size, complexity, and cost of planned systems, conventional procedural approaches to the architecture of automated systems will give way to a more comprehensive knowledge-based approach. A hallmark of these future systems will be the integration of multiple knowledge-based agents which understand the operational goals of the system and cooperate with each other and the humans in the loop to attain the goals. The current work includes the development of a reference model for knowledge-base management, the development of a formal model of cooperating knowledge-based agents, the use of testbed for prototyping and evaluating various knowledge-based concepts, and beginning work on the establishment of an object-oriented model of an intelligent end-to-end (spacecraft to user) system. An introductory discussion of these activities is presented, the major concepts and principles being investigated are highlighted, and their potential use in other application domains is indicated.

  19. Agent Based Simulation of Group Emotions Evolution and Strategy Intervention in Extreme Events

    Directory of Open Access Journals (Sweden)

    Bo Li

    2014-01-01

    Full Text Available Agent based simulation method has become a prominent approach in computational modeling and analysis of public emergency management in social science research. The group emotions evolution, information diffusion, and collective behavior selection make extreme incidents studies a complex system problem, which requires new methods for incidents management and strategy evaluation. This paper studies the group emotion evolution and intervention strategy effectiveness using agent based simulation method. By employing a computational experimentation methodology, we construct the group emotion evolution as a complex system and test the effects of three strategies. In addition, the events-chain model is proposed to model the accumulation influence of the temporal successive events. Each strategy is examined through three simulation experiments, including two make-up scenarios and a real case study. We show how various strategies could impact the group emotion evolution in terms of the complex emergence and emotion accumulation influence in extreme events. This paper also provides an effective method of how to use agent-based simulation for the study of complex collective behavior evolution problem in extreme incidents, emergency, and security study domains.

  20. Knowledge databases as instrument for a fast assessment in nuclear emergency management

    Energy Technology Data Exchange (ETDEWEB)

    Raskob, Wolfgang; Moehrle, Stella [Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology (KIT), Hermann-von- Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen (Germany)

    2014-07-01

    The European project PREPARE (Innovative integrated tools and platforms for radiological emergency preparedness and post-accident response in Europe) aims to close gaps that have been identified in nuclear and radiological preparedness following the first evaluation of the Fukushima disaster. Among others, a work package was established to develop a so called Analytical Platform exploring the scientific and operational means to improve information collection, information exchange and the evaluation of such types of disasters. As methodological approach knowledge databases and case-based reasoning (CBR) will be used. The application of knowledge gained from previous events or the establishment of scenarios in advance to anticipate possible event developments are used in many areas, but so far not in nuclear and radiological emergency management and preparedness. However in PREPARE, knowledge databases and CBR should be combined by establishing a database, which contains historic events and scenarios, their propagation with time, and applied emergency measures and using the CBR methodology to find solutions for events that are not part of the database. The objectives are to provide information about consequences and future developments after a nuclear or radiological event and emergency measures, which include early, intermediate and late phase actions. CBR is a methodology to solve new problems by utilizing knowledge of previously experienced problem situations. In order to solve a current problem, similar problems from a case base are retrieved. Their solutions are taken and, if necessary, adapted to the current situation. The suggested solution is revised and if it is confirmed, it is stored in the case base. Hence, a CBR system learns with time by storing new cases with its solutions. CBR has many advantages, such as solutions can be proposed quickly and do not have to be made from scratch, solutions can be proposed in domains that are not understood completely

  1. A knowledge based on-line diagnostic system for the fast breeder reactor KNKII

    International Nuclear Information System (INIS)

    Eggert, H.; Scherer, K.P.; Stiller, P.

    1989-01-01

    In the nuclear research center at Karlsruhe, a diagnostic expert system is developed to supervise a fast breeder process (KNKII). The problem is to detect critical phases in the beginning state before fault propagation. The expert system itself is integrated in a computer network (realized by a local area network), where different computers are involved as special detection systems (for example acoustic noise, temperature noise, covergas monitoring and so on), which produce partial diagnoses, based on intelligent signal processing techniques like pattern recognition. Additional to the detection systems a process computer is integrated as well as a test computer, which simulates hypothetical and real fault data. On the logical top level the expert system manages the partial diagnoses of the detection systems with the operating data of the process computer and to produce a final diagnosis including the explanation part for operator support. The knowledge base is developed by typical Artificial Intelligence tools. Both fact based and rule based knowledge representations are stored in form of flavors and predications. The inference engine operates on a rule based approach. Specific detail knowledge, based on experience about any years, is available to influence the decision process by increasing or decreasing of the generated hypotheses. In a meta knowledge base, a rule master triggers the special domain experts and contributes the tasks to the specific rule complexes. Such a system management guarantees a problem solving strategy, which operates event triggered and situation specific in a local inference domain. (author). 3 refs, 6 figs, 2 tabs

  2. Challenges and Strategies for Assessing Specialised Knowledge for Teaching

    Science.gov (United States)

    Orrill, Chandra Hawley; Kim, Ok-Kyeong; Peters, Susan A.; Lischka, Alyson E.; Jong, Cindy; Sanchez, Wendy B.; Eli, Jennifer A.

    2015-01-01

    Developing and writing assessment items that measure teachers' knowledge is an intricate and complex undertaking. In this paper, we begin with an overview of what is known about measuring teacher knowledge. We then highlight the challenges inherent in creating assessment items that focus specifically on measuring teachers' specialised knowledge…

  3. A unified approach of catastrophic events

    Directory of Open Access Journals (Sweden)

    S. Nikolopoulos

    2004-01-01

    Full Text Available Although there is an accumulated charge of theoretical, computational, and numerical work, like catastrophe theory, bifurcation theory, stochastic and deterministic chaos theory, there is an important feeling that these matters do not completely cover the physics of real catastrophic events. Recent studies have suggested that a large variety of complex processes, including earthquakes, heartbeats, and neuronal dynamics, exhibits statistical similarities. Here we are studying in terms of complexity and non linear techniques whether isomorphic signatures emerged indicating the transition from the normal state to the both geological and biological shocks. In the last 15 years, the study of Complex Systems has emerged as a recognized field in its own right, although a good definition of what a complex system is, actually is eluded. A basic reason for our interest in complexity is the striking similarity in behaviour close to irreversible phase transitions among systems that are otherwise quite different in nature. It is by now recognized that the pre-seismic electromagnetic time-series contain valuable information about the earthquake preparation process, which cannot be extracted without the use of important computational power, probably in connection with computer Algebra techniques. This paper presents an analysis, the aim of which is to indicate the approach of the global instability in the pre-focal area. Non-linear characteristics are studied by applying two techniques, namely the Correlation Dimension Estimation and the Approximate Entropy. These two non-linear techniques present coherent conclusions, and could cooperate with an independent fractal spectral analysis to provide a detection concerning the emergence of the nucleation phase of the impending catastrophic event. In the context of similar mathematical background, it would be interesting to augment this description of pre-seismic electromagnetic anomalies in order to cover biological

  4. Organizations as Cognitive Systems: is Knowledge AN Emergent Property of Information Networks?

    Science.gov (United States)

    Biggiero, Lucio

    The substitution of knowledge to information as the entity that organizations process and deliver raises a number of questions concerning the nature of knowledge. The dispute on the codifiability of tacit knowledge and that juxtaposing the epistemology of practice vs. the epistemology of possession can be better faced by revisiting two crucial debates. One concerns the nature of cognition and the other the famous mind-body problem. Cognition can be associated with the capability of manipulating symbols, like in the traditional computational view of organizations, interpreting facts or symbols, like in the narrative approach to organization theory, or developing mental states (events), like argued by the growing field of organizational cognition. Applied to the study of organizations, the mind-body problem concerns the possibility (if any) and the forms in which organizational mental events, like trust, identity, cultures, etc., can be derived from the structural aspects (technological, cognitive or communication networks) of organizations. By siding in extreme opposite positions, the two epistemologies appear irreducible one another and pay its own inner consistency with remarkable difficulties in describing and explaining some empirical phenomena. Conversely, by legitimating the existence of both tacit and explicit knowledge, by emphasizing the space of human interactions, and by assuming that mental events can be explained with the structural aspects of organizations, Nonaka's SECI model seems an interesting middle way between the two rival epistemologies.

  5. Pattern-Directed Processing of Knowledge from Texts.

    Science.gov (United States)

    Thorndyke, Perry W.

    A framework for viewing human text comprehension, memory, and recall is presented that assumes patterns of abstract conceptual relations are used to guide processing. These patterns consist of clusters of knowledge that encode prototypical co-occurrences of situations and events in narrative texts. The patterns are assumed to be a part of a…

  6. Training to handle unexpected events

    International Nuclear Information System (INIS)

    Hamlin, K.W.

    1987-01-01

    The importance of conducting hands-on training to deal with complex situations is well recognized. Since most utilities now own or have ordered their own control room simulators, access to simulator training facilities has improved greatly. Most utilities now have a control room shift rotation that includes a dedicated training shift. The opportunities for practicing operational control over unexpected and off-normal events are just beginning to be recognized. Areas that are being enhanced include teamwork training, diagnostics training, expanded simulator training programs, improvements in simulator instructor training, emergency procedures training, and training on the use of probabilistic risk assessment studies. All these efforts are aimed at the goal of improving the plant staff's ability to cope with unexpected and off-normal events

  7. Learning an Optimized Deep Neural Network for Link Prediction on Knowledge Graphs

    NARCIS (Netherlands)

    Wilcke, W.X.

    2015-01-01

    Recent years have seen the emergence of graph-based Knowledge Bases build upon Semantic Web technologies, known as Knowledge Graphs. Effectively learning from these complex relational structures remains a challenge yet to be overcome. Knowledge Graphs For this purpose, we are investigating the

  8. Nursing students' perceptions of knowledge: an international perspective

    Directory of Open Access Journals (Sweden)

    Majda Pahor

    2015-03-01

    Full Text Available Introduction: Nursing education in Europe is undergoing the development toward greater comparability under the Bologna process. Based on our mutual experiences from teaching in Slovenia and Sweden, the students' perspectives on knowledge and nursing practice became an issue. The aim was to explore Slovenian and Swedish undergraduate nursing students' perceptions of knowledge needed for future practice. Methods: A qualitative study design was applied. A questionnaire with open ended questions was used to collect opinions of 174 nursing students from the University of Ljubljana, Slovenia, and 109 nursing students from the University of Umea, Sweden. Textual data were analysed using qualitative content analysis. Results: Four subcategories were identified, related to the content of knowledge: knowledge about 'bodies and diseases', about 'people and communication'; and to its purpose: 'to do nursing' and 'to be a nurse'. The main theme, 'integration', indicated the students' awareness of the complexity of their future work and the need for a wide integrated knowledge. Discussion and conclusion: There were more similarities than differences between the Slovenian and Swedish students included in the study. The students were aware of the complex responsibilities and expressed the need for integrating various competences. Interprofessional education should become a constitutive part of nursing education programmes.

  9. Trajectory-probed instability and statistics of desynchronization events in coupled chaotic systems

    Energy Technology Data Exchange (ETDEWEB)

    Oliveira, Gilson F. de, E-mail: gilson@otica.ufpb.br; Chevrollier, Martine; Oriá, Marcos [Departamento de Física, Universidade Federal da Paraíba, Caixa Postal 5008, 58051-900 João Pessoa-PB (Brazil); Passerat de Silans, Thierry [Departamento de Física, Universidade Federal da Paraíba, Caixa Postal 5008, 58051-900 João Pessoa-PB (Brazil); UAF, Universidade Federal de Campina Grande, 58429-900 Campina Grande, PB (Brazil); Souza Cavalcante, Hugo L. D. de [Departamento de Informática, Centro de Informática, Universidade Federal da Paraíba, Av. dos Escoteiros s/n, Mangabeira VII, 58055-000 João Pessoa, PB (Brazil)

    2015-11-15

    Complex systems, such as financial markets, earthquakes, and neurological networks, exhibit extreme events whose mechanisms of formation are not still completely understood. These mechanisms may be identified and better studied in simpler systems with dynamical features similar to the ones encountered in the complex system of interest. For instance, sudden and brief departures from the synchronized state observed in coupled chaotic systems were shown to display non-normal statistical distributions similar to events observed in the complex systems cited above. The current hypothesis accepted is that these desynchronization events are influenced by the presence of unstable object(s) in the phase space of the system. Here, we present further evidence that the occurrence of large events is triggered by the visitation of the system's phase-space trajectory to the vicinity of these unstable objects. In the system studied here, this visitation is controlled by a single parameter, and we exploit this feature to observe the effect of the visitation rate in the overall instability of the synchronized state. We find that the probability of escapes from the synchronized state and the size of those desynchronization events are enhanced in attractors whose shapes permit the chaotic trajectories to approach the region of strong instability. This result shows that the occurrence of large events requires not only a large local instability to amplify noise, or to amplify the effect of parameter mismatch between the coupled subsystems, but also that the trajectories of the system wander close to this local instability.

  10. Trajectory-probed instability and statistics of desynchronization events in coupled chaotic systems

    International Nuclear Information System (INIS)

    Oliveira, Gilson F. de; Chevrollier, Martine; Oriá, Marcos; Passerat de Silans, Thierry; Souza Cavalcante, Hugo L. D. de

    2015-01-01

    Complex systems, such as financial markets, earthquakes, and neurological networks, exhibit extreme events whose mechanisms of formation are not still completely understood. These mechanisms may be identified and better studied in simpler systems with dynamical features similar to the ones encountered in the complex system of interest. For instance, sudden and brief departures from the synchronized state observed in coupled chaotic systems were shown to display non-normal statistical distributions similar to events observed in the complex systems cited above. The current hypothesis accepted is that these desynchronization events are influenced by the presence of unstable object(s) in the phase space of the system. Here, we present further evidence that the occurrence of large events is triggered by the visitation of the system's phase-space trajectory to the vicinity of these unstable objects. In the system studied here, this visitation is controlled by a single parameter, and we exploit this feature to observe the effect of the visitation rate in the overall instability of the synchronized state. We find that the probability of escapes from the synchronized state and the size of those desynchronization events are enhanced in attractors whose shapes permit the chaotic trajectories to approach the region of strong instability. This result shows that the occurrence of large events requires not only a large local instability to amplify noise, or to amplify the effect of parameter mismatch between the coupled subsystems, but also that the trajectories of the system wander close to this local instability

  11. Trajectory-probed instability and statistics of desynchronization events in coupled chaotic systems

    Science.gov (United States)

    de Oliveira, Gilson F.; Chevrollier, Martine; Passerat de Silans, Thierry; Oriá, Marcos; de Souza Cavalcante, Hugo L. D.

    2015-11-01

    Complex systems, such as financial markets, earthquakes, and neurological networks, exhibit extreme events whose mechanisms of formation are not still completely understood. These mechanisms may be identified and better studied in simpler systems with dynamical features similar to the ones encountered in the complex system of interest. For instance, sudden and brief departures from the synchronized state observed in coupled chaotic systems were shown to display non-normal statistical distributions similar to events observed in the complex systems cited above. The current hypothesis accepted is that these desynchronization events are influenced by the presence of unstable object(s) in the phase space of the system. Here, we present further evidence that the occurrence of large events is triggered by the visitation of the system's phase-space trajectory to the vicinity of these unstable objects. In the system studied here, this visitation is controlled by a single parameter, and we exploit this feature to observe the effect of the visitation rate in the overall instability of the synchronized state. We find that the probability of escapes from the synchronized state and the size of those desynchronization events are enhanced in attractors whose shapes permit the chaotic trajectories to approach the region of strong instability. This result shows that the occurrence of large events requires not only a large local instability to amplify noise, or to amplify the effect of parameter mismatch between the coupled subsystems, but also that the trajectories of the system wander close to this local instability.

  12. Stressful Life Events and Child Anxiety: Examining Parent and Child Mediators

    Science.gov (United States)

    Platt, Rheanna; Williams, Sarah R.; Ginsburg, Golda S.

    2015-01-01

    While a number of factors have been linked with excessive anxiety (e.g., parenting, child temperament), the impact of stressful life events remains under-studied. Moreover, much of this literature has examined bivariate associations rather than testing more complex theoretical models. The current study extends the literature on life events and child anxiety by testing a theory-driven meditational model. Specifically, one child factor (child cognitions/locus of control), two parent factors (parent psychopathology and parenting stress), and two parent-child relationship factors (parent-child dysfunctional interaction and parenting style) were examined as mediators in the relationship between stressful life events and severity of child anxiety. One hundred and thirty anxious parents and their nonanxious, high-risk children (ages ranged from 7 to 13 years) participated in this study. Results indicated that levels of parenting stress, parental anxious rearing, and dysfunctional parent-child interaction mediated the association between stressful life events and severity of anxiety symptoms. Child cognition and parent psychopathology factors failed to emerge as mediators. Findings provide support for more complex theoretical models linking life events and child anxiety and suggest potential targets of intervention. PMID:25772523

  13. Remaking collective knowledge: An analysis of the complex and multiple effects of inquiries into historical institutional child abuse.

    Science.gov (United States)

    Wright, Katie

    2017-12-01

    This article provides an overview and critical analysis of inquiries into historical institutional child abuse and examines their multiple functions and complex effects. The article takes a broadly international view but focuses primarily on Australia, the UK and Ireland, jurisdictions in which there have been major national inquiries. Drawing on sociological and other social science literature, it begins by considering the forms, functions, and purposes of inquiries. An overview of emergent concerns with institutional abuse in the 1980s and 1990s is then provided, followed by an examination of the response of many governments since that time in establishing inquiries. Key findings and recommendations are considered. The final sections of the article explore the evaluation of inquiries, both during their operation and in their aftermath. Policy change and legislative reform are discussed but the focus is on aspects often underplayed or overlooked, including an inquiry's credibility, its role in processes of knowledge production, and the part it plays in producing social and cultural shifts. In the context of growing numbers of inquiries across Western democracies, including the Australian Royal Commission into Institutional Responses to Child Sexual Abuse, it is argued that grasping the complexity of the inquiry mechanism, with its inherent tensions and its multiple effects, is crucial to evaluating inquiry outcomes. Copyright © 2017 The Author. Published by Elsevier Ltd.. All rights reserved.

  14. Changes in extreme events and the potential impacts on human health.

    Science.gov (United States)

    Bell, Jesse E; Brown, Claudia Langford; Conlon, Kathryn; Herring, Stephanie; Kunkel, Kenneth E; Lawrimore, Jay; Luber, George; Schreck, Carl; Smith, Adam; Uejio, Christopher

    2018-04-01

    Extreme weather and climate-related events affect human health by causing death, injury, and illness, as well as having large socioeconomic impacts. Climate change has caused changes in extreme event frequency, intensity, and geographic distribution, and will continue to be a driver for change in the future. Some of these events include heat waves, droughts, wildfires, dust storms, flooding rains, coastal flooding, storm surges, and hurricanes. The pathways connecting extreme events to health outcomes and economic losses can be diverse and complex. The difficulty in predicting these relationships comes from the local societal and environmental factors that affect disease burden. More information is needed about the impacts of climate change on public health and economies to effectively plan for and adapt to climate change. This paper describes some of the ways extreme events are changing and provides examples of the potential impacts on human health and infrastructure. It also identifies key research gaps to be addressed to improve the resilience of public health to extreme events in the future. Extreme weather and climate events affect human health by causing death, injury, and illness, as well as having large socioeconomic impacts. Climate change has caused changes in extreme event frequency, intensity, and geographic distribution, and will continue to be a driver for change in the future. Some of these events include heat waves, droughts, wildfires, flooding rains, coastal flooding, surges, and hurricanes. The pathways connecting extreme events to health outcomes and economic losses can be diverse and complex. The difficulty in predicting these relationships comes from the local societal and environmental factors that affect disease burden.

  15. An exploration of knowledge integration problems in interdisciplinary research teams

    NARCIS (Netherlands)

    Bayerl, P.S.; Steinheider, B.

    2009-01-01

    The integration of function-specific expertise into a shared knowledge base is a crucial, but complex process for success in interdisciplinary teams. This paper presents an empirically derived typology of knowledge integration problems and links their occurrence to degree of heterogeneity and

  16. Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks.

    Science.gov (United States)

    Tian, Ye; Zhang, Bai; Hoffman, Eric P; Clarke, Robert; Zhang, Zhen; Shih, Ie-Ming; Xuan, Jianhua; Herrington, David M; Wang, Yue

    2014-07-24

    Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells. Biological networks are context-specific and dynamic in nature. To systematically characterize the selectively activated regulatory components and mechanisms, modeling tools must be able to effectively distinguish significant rewiring from random background fluctuations. While differential networks cannot be constructed by existing knowledge alone, novel incorporation of prior knowledge into data-driven approaches can improve the robustness and biological relevance of network inference. However, the major unresolved roadblocks include: big solution space but a small sample size; highly complex networks; imperfect prior knowledge; missing significance assessment; and heuristic structural parameter learning. To address these challenges, we formulated the inference of differential dependency networks that incorporate both conditional data and prior knowledge as a convex optimization problem, and developed an efficient learning algorithm to jointly infer the conserved biological network and the significant rewiring across different conditions. We used a novel sampling scheme to estimate the expected error rate due to "random" knowledge. Based on that scheme, we developed a strategy that fully exploits the benefit of this data-knowledge integrated approach. We demonstrated and validated the principle and performance of our method using synthetic datasets. We then applied our method to yeast cell line and breast cancer microarray data and obtained biologically plausible results. The open-source R software package and the experimental data are freely available at http://www.cbil.ece.vt.edu/software.htm. Experiments on both synthetic and real data demonstrate the effectiveness of the knowledge-fused differential dependency network in revealing the statistically significant rewiring in biological

  17. 3cixty: Building comprehensive knowledge bases for city exploration

    OpenAIRE

    Troncy, Raphaël; Rizzo, Giuseppe; Jameson, Anthony; Corcho, Oscar; Plu, Julien; Palumbo, Enrico; Ballesteros Hermida, Juan Carlos; Spirescu, Adrian; Kuhn, Kai Dominik; Barbu, Catalin; Rossi, Matteo; Celino, Irene; Agarwal, Rachit; Scanu, Christian; Valla, Massimo

    2017-01-01

    International audience; Planning a visit to Expo Milano 2015 or simply touring in Milan are activities that require a certain amount of a priori knowledge of the city. In this paper, we present the process of building such comprehensive knowledge bases that contain descriptions of events and activities, places and sights, transportation facilities as well as social activities, collected from numerous static, near-and real-time local and global data providers, including hyper local sources suc...

  18. Modeling the complex activity of sickle cell and thalassemia specialist nurses in England.

    Science.gov (United States)

    Leary, Alison; Anionwu, Elizabeth N

    2014-01-01

    Specialist advanced practice nursing in hemoglobinopathies has a rich historical and descriptive literature. Subsequent work has shown that the role is valued by patients and families and also by other professionals. However, there is little empirical research on the complexity of activity of these services in terms of interventions offered. In addition, the work of clinical nurse specialists in England has been devalued through a perception of oversimplification. The purpose of this study was to understand the complexity of expert nursing practice in sickle cell and thalassemia. The approach taken to modeling complexity was used from common methods in mathematical modeling and computational mathematics. Knowledge discovery through data was the underpinning framework used in this study using a priori mined data. This allowed categorization of activity and articulation of complexity. In total, 8966 nursing events were captured over 1639 hours from a total of 22.8 whole time equivalents, and several data sources were mined. The work of specialist nurses in this area is complex in terms of the physical and psychosocial care they provide. The nurses also undertook case management activity such as utilizing a very large network of professionals, and others participated in admission avoidance work and education of patients' families and other staff. The work of nurses specializing in hemoglobinopathy care is complex and multidimensional and is likely to contribute to the quality of care in a cost-effective way. An understanding of this complexity can be used as an underpinning to establishing key performance indicators, optimum caseload calculations, and economic evaluation.

  19. Universal knowledge state on the Order Uredinales (Fungi, Royas)

    International Nuclear Information System (INIS)

    Buritica Cespedes, Pablo

    2003-01-01

    This critical analysis provides information about several natural events that occur in Uredinales related with the current universal knowledge. Emphasis is done in the necessity of go deep into learning about essential elements to understand their tree of life

  20. Managing knowledge in technical and scientific support organizations

    International Nuclear Information System (INIS)

    Beraha, D.; Goetz, K.; Puhr-Westerheide. P.

    2007-01-01

    documents, internal and external links, contacts or events is available. Actually, efforts are under way to establish sites specific to the knowledge domains of GRS, providing good reference on the topics important to these domains and links to relevant and up to date information and documents. Methods have been studied and tested for capturing and representing an expert's knowledge; the results of such efforts may be utilized to enhance existing knowledge domain sites. In addition, the new structure should improve information retrieval by enterprise-wide search. The experience gained in installing a knowledge management programme has led the BMU to assign projects to GRS with the aim of designing and constructing an information portal for reactor safety (RS), which should serve as a workbench for the staff of the RS department. The portal has been implemented and is currently accessible from within the BMU intranet. For the portal, electronic and conventional compilations of documents and specific information for atomic licensing authorities have been sifted and evaluated. It provides a document management system, which allows collaboration on documents and their exchange, offers information in its proper context (e.g. national and international regulations), mappings of processes as provided by quality management procedures, access to external databases and communication means such as discussion boards. A link to the GRS portal has been established by daily replicating documents and information concerning projects funded by the BMU. The TUV SUD's daily work - licensing and supervision tasks on behalf of the Bavarian State Ministry - covers all aspects of plant safety like inspection and maintenance, evaluation of events, modifications of hardware and operation and several other safety related activities like periodic safety reviews and probabilistic analyses. Since decades, the TUV has gathered lots of data and consequently gained a large pool of experiences. In former

  1. Globalization And Knowledge Management In Projects

    Directory of Open Access Journals (Sweden)

    Bubel Dagmara

    2015-06-01

    Full Text Available Knowledge management is a field of management dealing with the use of knowledge, methods, and tools to effectively coordinate complex and unique projects. In accordance with this definition, project knowledge can be treated as a useful resource of information that allows projects to be implemented in compliance with its objectives: time, costs, and quality of results. Knowledge in the activity of an organization, including in the implementation of projects, has for many years been an area of interest to researchers, who confirmed its key importance for building permanent competitive advantages of companies and enterprises. In project management, this issue takes on a new character, as it is transferred to the field of dynamic, time restricted, temporary, and team-implemented projects. The aim of this paper is to present the results of a survey regarding the use of practices of knowledge management in projects in international organizations and to show that the concept of knowledge management in projects is a tool conducive to spreading the process of globalization.

  2. Complex Networks

    CERN Document Server

    Evsukoff, Alexandre; González, Marta

    2013-01-01

    In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the understanding of networks which are dynamic, large, open, and have a structure sometimes called random-biased. The field of Complex Networks is helping us better understand many complex phenomena such as the spread of  deseases, protein interactions, social relationships, to name but a few. Studies in Complex Networks are gaining attention due to some major scientific breakthroughs proposed by network scientists helping us understand and model interactions contained in large datasets. In fact, if we could point to one event leading to the widespread use of complex network analysis is the availability of online databases. Theories of Random Graphs from Erdös and Rényi from the late 1950s led us to believe that most networks had random characteristics. The work on large online datasets told us otherwise. Starting with the work of Barabási and Albert as well as Watts and Strogatz in the late 1990s, we now know th...

  3. Managing complexity insights, concepts, applications

    CERN Document Server

    Helbing, Dirk

    2007-01-01

    Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinary contributions range from markets and production through logistics, traffic control, and critical infrastructures, up to network design, information systems, social conflicts and building consensus. They serve to raise readers' awareness concerning the often counter-intuitive behavior of complex systems and to help them integrate insights gained in complexity research into everyday planning, decision making, strategic optimization, and policy. Intended for a broad readership, the contributions have been kept largely non-technical and address a general, scientifically literate audience involved in corporate, academic, and public institutions.

  4. Negotiating knowledges and expertise in refugee resettlement organizations

    Directory of Open Access Journals (Sweden)

    Sarah Steimel

    2016-12-01

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

  5. Analysis hierarchical model for discrete event systems

    Science.gov (United States)

    Ciortea, E. M.

    2015-11-01

    The This paper presents the hierarchical model based on discrete event network for robotic systems. Based on the hierarchical approach, Petri network is analysed as a network of the highest conceptual level and the lowest level of local control. For modelling and control of complex robotic systems using extended Petri nets. Such a system is structured, controlled and analysed in this paper by using Visual Object Net ++ package that is relatively simple and easy to use, and the results are shown as representations easy to interpret. The hierarchical structure of the robotic system is implemented on computers analysed using specialized programs. Implementation of hierarchical model discrete event systems, as a real-time operating system on a computer network connected via a serial bus is possible, where each computer is dedicated to local and Petri model of a subsystem global robotic system. Since Petri models are simplified to apply general computers, analysis, modelling, complex manufacturing systems control can be achieved using Petri nets. Discrete event systems is a pragmatic tool for modelling industrial systems. For system modelling using Petri nets because we have our system where discrete event. To highlight the auxiliary time Petri model using transport stream divided into hierarchical levels and sections are analysed successively. Proposed robotic system simulation using timed Petri, offers the opportunity to view the robotic time. Application of goods or robotic and transmission times obtained by measuring spot is obtained graphics showing the average time for transport activity, using the parameters sets of finished products. individually.

  6. Effects of the Smartphone Application "Safe Patients" on Knowledge of Patient Safety Issues Among Surgical Patients.

    Science.gov (United States)

    Cho, Sumi; Lee, Eunjoo

    2017-12-01

    Recently, the patient's role in preventing adverse events has been emphasized. Patients who are more knowledgeable about safety issues are more likely to engage in safety initiatives. Therefore, nurses need to develop techniques and tools that increase patients' knowledge in preventing adverse events. For this reason, an educational smartphone application for patient safety called "Safe Patients" was developed through an iterative process involving a literature review, expert consultations, and pilot testing of the application. To determine the effect of "Safe Patients," it was implemented for patients in surgical units in a tertiary hospital in South Korea. The change in patients' knowledge about patient safety was measured using seven true/false questions developed in this study. A one-group pretest and posttest design was used, and a total of 123 of 190 possible participants were tested. The percentage of correct answers significantly increased from 64.5% to 75.8% (P effectively improve patients' knowledge of safety issues. This will ultimately empower patients to engage in safe practices and prevent adverse events related to surgery.

  7. Session 1 theme: Various forms of design basis knowledge and effects of its loss on Safety. Views from EDF

    International Nuclear Information System (INIS)

    Servière, Georges

    2013-01-01

    Design basis knowledge - What happens or may happen and corresponding required knowledge: • Unexpected events or failures of equipment; • Spare part issues (no longer availaible,…); • Change in applicable regulations / requirements; • Change of operating conditions; • Change of plant performances; • Evolution of external environment and conditions; • Events and accidents on other plants, worldwide; • New knowledge availaible; • Periodic safety reviews and upgrades; • Extension of plant operation life; • Decommissioning and dismantling; • Some of those you may choose not to do, but most of them have to be faced and need appropriate knowledge

  8. Information modelling and knowledge bases XXV

    CERN Document Server

    Tokuda, T; Jaakkola, H; Yoshida, N

    2014-01-01

    Because of our ever increasing use of and reliance on technology and information systems, information modelling and knowledge bases continue to be important topics in those academic communities concerned with data handling and computer science. As the information itself becomes more complex, so do the levels of abstraction and the databases themselves. This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes in the important domains of conceptual modeling, design and specification of information systems, multimedia information modelin

  9. Comparison of maintenance worker's human error events occurred at United States and domestic nuclear power plants. The proposal of the classification method with insufficient knowledge and experience and the classification result of its application

    International Nuclear Information System (INIS)

    Takagawa, Kenichi

    2008-01-01

    Human errors by maintenance workers in U.S. nuclear power plants were compared with those in Japanese nuclear power plants for the same period in order to identify the characteristics of such errors. As for U.S. events, cases which occurred during 2006 were selected from the Nuclear Information Database of the Institute to Nuclear Safety System while Japanese cases that occurred during the same period, were extracted from the Nuclear Information Archives (NUCIA) owned by JANTI. The most common cause of human errors was insufficient knowledge or experience' accounting for about 40% for U.S. cases and 50% or more of cases in Japan. To break down 'insufficient knowledge', we classified the contents of knowledge into five categories; method', 'nature', 'reason', 'scope' and 'goal', and classified the level of knowledge into four categories: 'known', 'comprehended', 'applied' and analytic'. By using this classification, the patterns of combination of each item of the content and the level of knowledge were compared. In the U.S. cases, errors due to 'insufficient knowledge of nature and insufficient knowledge of method' were prevalent while three other items', 'reason', scope' and 'goal' which involve work conditions among the contents of knowledge rarely occurred. In Japan, errors arising from 'nature not being comprehended' were rather prevalent while other cases were distributed evenly for all categories including the work conditions. For addressing insufficient knowledge or experience', we consider that the following approaches are valid: according to the knowledge level which is required for the work, the reflection of knowledge on the procedure or education materials, training and confirmation of understanding level, virtual practice and instruction of experience should be implemented. As for the knowledge on the work conditions, it is necessary to enter the work conditions in the procedure and education materials while conducting training or education. (author)

  10. LINKS-UP - Learning 2.0 for an Inclusive Knowledge Society - Understanding the Picture : Deliverable 14 Linksup-Events

    NARCIS (Netherlands)

    E. (Eva) Szalma; M.W. (Martijn) Hartog; E.R. (Else Rose) Kuiper; E. (Eva) Suba; T. (Thomas) Fischer; A. (Andras) Szucs; S. (Sandra) Schön; J. (Joe) Cullen

    2011-01-01

    The objective of the Events organised and presentations were twofold. On one hand we aimed at the effective dissemination and exploitation of the Links‐up project outcomes, on the other hand we aimed at involving stakeholders of the project and target groups via 'Learning Dialogues' and events to

  11. A Hybrid Methodology for Modeling Risk of Adverse Events in Complex Health-Care Settings.

    Science.gov (United States)

    Kazemi, Reza; Mosleh, Ali; Dierks, Meghan

    2017-03-01

    In spite of increased attention to quality and efforts to provide safe medical care, adverse events (AEs) are still frequent in clinical practice. Reports from various sources indicate that a substantial number of hospitalized patients suffer treatment-caused injuries while in the hospital. While risk cannot be entirely eliminated from health-care activities, an important goal is to develop effective and durable mitigation strategies to render the system "safer." In order to do this, though, we must develop models that comprehensively and realistically characterize the risk. In the health-care domain, this can be extremely challenging due to the wide variability in the way that health-care processes and interventions are executed and also due to the dynamic nature of risk in this particular domain. In this study, we have developed a generic methodology for evaluating dynamic changes in AE risk in acute care hospitals as a function of organizational and nonorganizational factors, using a combination of modeling formalisms. First, a system dynamics (SD) framework is used to demonstrate how organizational-level and policy-level contributions to risk evolve over time, and how policies and decisions may affect the general system-level contribution to AE risk. It also captures the feedback of organizational factors and decisions over time and the nonlinearities in these feedback effects. SD is a popular approach to understanding the behavior of complex social and economic systems. It is a simulation-based, differential equation modeling tool that is widely used in situations where the formal model is complex and an analytical solution is very difficult to obtain. Second, a Bayesian belief network (BBN) framework is used to represent patient-level factors and also physician-level decisions and factors in the management of an individual patient, which contribute to the risk of hospital-acquired AE. BBNs are networks of probabilities that can capture probabilistic relations

  12. Enhancing health care professionals' and trainees' knowledge of physical activity guidelines for adults with and without SCI.

    Science.gov (United States)

    Shirazipour, Celina H; Tomasone, Jennifer R; Martin Ginis, Kathleen A

    2018-01-11

    Health care providers (HCPs) are preferred sources of physical activity (PA) information; however, minimal research has explored HCPs' knowledge of spinal cord injury (SCI) PA guidelines, and no research has examined HCP trainees' PA guideline knowledge. The current study explored HCPs' and trainees' initial knowledge of PA guidelines for both adults with SCI and the general population, and the utility of an event-based intervention for improving this knowledge. Participants (HCPs n = 129; trainees n = 573) reported guideline knowledge for both sets of guidelines (SCI and general population) immediately after, one-month, and six-months following the intervention. Frequencies determined guideline knowledge at each timepoint, while chi-squared tests examined differences in knowledge of both guidelines, as well as knowledge differences in the short- and long-term. Results demonstrated that HCPs and trainees lack knowledge of PA guidelines, particularly guidelines for adults with SCI. The results further suggest that a single event-based intervention is not effective for improving long-term guideline knowledge. Suggestions are made for future research with the aim of improving interventions that target HCP and HCP trainees' long-term guideline knowledge for adults with SCI and the general population.

  13. Tracing the Spatial-Temporal Evolution of Events Based on Social Media Data

    Directory of Open Access Journals (Sweden)

    Xiaolu Zhou

    2017-03-01

    Full Text Available Social media data provide a great opportunity to investigate event flow in cities. Despite the advantages of social media data in these investigations, the data heterogeneity and big data size pose challenges to researchers seeking to identify useful information about events from the raw data. In addition, few studies have used social media posts to capture how events develop in space and time. This paper demonstrates an efficient approach based on machine learning and geovisualization to identify events and trace the development of these events in real-time. We conducted an empirical study to delineate the temporal and spatial evolution of a natural event (heavy precipitation and a social event (Pope Francis’ visit to the US in the New York City—Washington, DC regions. By investigating multiple features of Twitter data (message, author, time, and geographic location information, this paper demonstrates how voluntary local knowledge from tweets can be used to depict city dynamics, discover spatiotemporal characteristics of events, and convey real-time information.

  14. A simple conceptual model of abrupt glacial climate events

    Directory of Open Access Journals (Sweden)

    H. Braun

    2007-11-01

    Full Text Available Here we use a very simple conceptual model in an attempt to reduce essential parts of the complex nonlinearity of abrupt glacial climate changes (the so-called Dansgaard-Oeschger events to a few simple principles, namely (i the existence of two different climate states, (ii a threshold process and (iii an overshooting in the stability of the system at the start and the end of the events, which is followed by a millennial-scale relaxation. By comparison with a so-called Earth system model of intermediate complexity (CLIMBER-2, in which the events represent oscillations between two climate states corresponding to two fundamentally different modes of deep-water formation in the North Atlantic, we demonstrate that the conceptual model captures fundamental aspects of the nonlinearity of the events in that model. We use the conceptual model in order to reproduce and reanalyse nonlinear resonance mechanisms that were already suggested in order to explain the characteristic time scale of Dansgaard-Oeschger events. In doing so we identify a new form of stochastic resonance (i.e. an overshooting stochastic resonance and provide the first explicitly reported manifestation of ghost resonance in a geosystem, i.e. of a mechanism which could be relevant for other systems with thresholds and with multiple states of operation. Our work enables us to explicitly simulate realistic probability measures of Dansgaard-Oeschger events (e.g. waiting time distributions, which are a prerequisite for statistical analyses on the regularity of the events by means of Monte-Carlo simulations. We thus think that our study is an important advance in order to develop more adequate methods to test the statistical significance and the origin of the proposed glacial 1470-year climate cycle.

  15. Troposphere - ionosphere interaction during tropospheric MCC events

    International Nuclear Information System (INIS)

    Manzano, J.R.; Zossi Artigas, M.M. de; Filippi Manzano, A.N. de; Cosio Ragone, A.H. de

    1995-09-01

    The present paper describes the investigation of possible effects of the type of large meteorological events known as Mesoscale Convective Complexes (MCC) on the F-region of the ionosphere over Argentina. These warm-season weather systems of huge size are present in the United States (Maddox, 1980) and in South Americal (Velasco and Fritsch, 1987). Their extension can be as large as 1,300,000 Km 2 and they tend to move in different directions over the earth surface. It is expected that these meteorological events should leave its signature in the upper region of the atmosphere. 13 refs, 12 figs, 1 tab

  16. Preserving and sharing tacit knowledge in a nuclear power plant

    International Nuclear Information System (INIS)

    Kuronen, T.; Saeaemaenen, K.; Jaervenpaeae, E.; Rintala, N.

    2007-01-01

    Tacit knowledge of nuclear experts is essential for reliable and competent performance of nuclear power plants. This report discusses preserving and sharing tacit knowledge in nuclear power plant context. Tacit knowledge as well as its structure and content in this complex and safety-critical context are described, and the role of tacit knowledge in expertise is discussed. In order to contribute to tacit knowledge preserving the challenges in and prerequisites for tacit knowledge sharing are identified. In addition, based on empirical case studies and literature, good practices and methods for tacit knowledge sharing are described. The report is based on the results of DIAMOND research project conducted in 2004-2006 in Finnish nuclear power plants, tacit knowledge, nuclear power plant, tacit knowledge sharing methods, expertise. (author abstract)

  17. The nuclear knowledge management: challenges and perspectives

    International Nuclear Information System (INIS)

    Gonzalez Garcia, Alejandro; Fernandez Rondon, Manuel

    2007-01-01

    The knowledge management has a one of its goals to keep and to drive the key organizational competence's to the development of products and services with high scientific and technological value, as proactive reply to a dynamic and complex environment. The International Atomic Energy Agency and nuclear institutions of Member Countries recognize that the pacific use of nuclear technology is supported on the nuclear knowledge collection and that its effective management is oriented to guarantee the continuos availability of scientific and technological information and high qualified people. Recently some nuclear Cuban institutions have started some projects to implement nuclear and organizational knowledge management process. In this paper some challenges and perspectives are presented for the nuclear knowledge management in Cuba and in the world context

  18. Managing unforeseen events in production scheduling and control

    DEFF Research Database (Denmark)

    Arica, E.; Falster, Peter; Hvolby, H. H.

    2016-01-01

    initial plans unfeasible or obsolete during production execution. How to effectively handle the unscheduled events and take corrective actions still remains a central question to academics and practitioners. In this paper, we explore this issue through a review of the relevant literature and an in......The production planning and control process is performed within complex and dynamic organizations made up of customer expectations, equipment, materials, people, information, and technologies. Changes in both internal and external factors can create a variety of unforeseen events, which make...

  19. SCALES OF FLOWS: Qatar and the Urban Legacies of Mega Events

    Directory of Open Access Journals (Sweden)

    Anna Grichting

    2013-07-01

    Full Text Available In 2022, Qatar will become the first Middle Eastern and Arab country to host such an  important Mega-Event as the FIFA World Cup. Global cultural and sporting Mega Events  ave driven the urban transformation of cities such as Barcelona, London, Rio, Beijing,Shanghai, and Lisbon and the spectacle and economic boosterism encourages cities to  compete on the World Stage for these events. The best practices of successful bids and  their enduring legacies create a knowledge and policy flow of Mega Event strategies for global branding and sustainable Urban, Social, and Economic Development at the local and regional scales. This paper discusses the urban legacies that will result from Qatar hosting the World Cup and other Mega Events, and questions how an emerging global host city like Doha will benefit on the long and short term.

  20. The knowledge-learning-instruction framework: bridging the science-practice chasm to enhance robust student learning.

    Science.gov (United States)

    Koedinger, Kenneth R; Corbett, Albert T; Perfetti, Charles

    2012-07-01

    Despite the accumulation of substantial cognitive science research relevant to education, there remains confusion and controversy in the application of research to educational practice. In support of a more systematic approach, we describe the Knowledge-Learning-Instruction (KLI) framework. KLI promotes the emergence of instructional principles of high potential for generality, while explicitly identifying constraints of and opportunities for detailed analysis of the knowledge students may acquire in courses. Drawing on research across domains of science, math, and language learning, we illustrate the analyses of knowledge, learning, and instructional events that the KLI framework affords. We present a set of three coordinated taxonomies of knowledge, learning, and instruction. For example, we identify three broad classes of learning events (LEs): (a) memory and fluency processes, (b) induction and refinement processes, and (c) understanding and sense-making processes, and we show how these can lead to different knowledge changes and constraints on optimal instructional choices. Copyright © 2012 Cognitive Science Society, Inc.

  1. Knowledge management: Preserving skills and expertise for nuclear industry

    International Nuclear Information System (INIS)

    Urjan, Daniel; Havris, Alexandru

    2003-01-01

    All healthy organizations generate and use knowledge. As organizations interact with their environments, they absorb information, turn it into knowledge and take action based on it in combination with their experiences, values and internal rules. Without knowledge, an organization could not organize itself; it would be unable to maintain itself as a functioning enterprise. Like any highly technical endeavor, the use of nuclear technology relies heavily on a vast accumulation of knowledge - volumes of scientific research, engineering analysis, operational data, regulatory reviews and many other types of technical information - combined with a complex assortment of people with the requisite educational background, expertise and acquired insight to apply that body of knowledge safely and effectively. Methods must be found to better capture this enormous body of nuclear experience. Today's nuclear workforce needs to document knowledge and then mentor the new nuclear scientists to build upon it, rather than having to re-create it. The latest studies have shown that at present NPPs cannot be replaced by other kinds of electric sources and in no case by renewable ones in an efficient manner. Therefore it is necessary to carefully manage knowledge gathered in the nuclear field during the years and to keep on the nuclear safety research, education and training to ensure and upgrade safe and reliable operation of existing and future nuclear facilities. Having in mind the complexity of this issue of global concern, this presentation tries to provide a brief overview of what knowledge management is and how it can help organizations to preserve knowledge, skills and expertise, particularly for the nuclear environment. What are the challenges of nuclear knowledge management and who should lead knowledge management efforts are also some of the issues covered in the presentation. (authors)

  2. Fuzzy Dynamic Discrimination Algorithms for Distributed Knowledge Management Systems

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2010-12-01

    Full Text Available A reduction of the algorithmic complexity of the fuzzy inference engine has the following property: the inputs (the fuzzy rules and the fuzzy facts can be divided in two parts, one being relatively constant for a long a time (the fuzzy rule or the knowledge model when it is compared to the second part (the fuzzy facts for every inference cycle. The occurrence of certain transformations over the constant part makes sense, in order to decrease the solution procurement time, in the case that the second part varies, but it is known at certain moments in time. The transformations attained in advance are called pre-processing or knowledge compilation. The use of variables in a Business Rule Management System knowledge representation allows factorising knowledge, like in classical knowledge based systems. The language of the first-degree predicates facilitates the formulation of complex knowledge in a rigorous way, imposing appropriate reasoning techniques. It is, thus, necessary to define the description method of fuzzy knowledge, to justify the knowledge exploiting efficiency when the compiling technique is used, to present the inference engine and highlight the functional features of the pattern matching and the state space processes. This paper presents the main results of our project PR356 for designing a compiler for fuzzy knowledge, like Rete compiler, that comprises two main components: a static fuzzy discrimination structure (Fuzzy Unification Tree and the Fuzzy Variables Linking Network. There are also presented the features of the elementary pattern matching process that is based on the compiled structure of fuzzy knowledge. We developed fuzzy discrimination algorithms for Distributed Knowledge Management Systems (DKMSs. The implementations have been elaborated in a prototype system FRCOM (Fuzzy Rule COMpiler.

  3. Discrete event simulation: Modeling simultaneous complications and outcomes

    NARCIS (Netherlands)

    Quik, E.H.; Feenstra, T.L.; Krabbe, P.F.M.

    2012-01-01

    OBJECTIVES: To present an effective and elegant model approach to deal with specific characteristics of complex modeling. METHODS: A discrete event simulation (DES) model with multiple complications and multiple outcomes that each can occur simultaneously was developed. In this DES model parameters,

  4. An Overview of Biomolecular Event Extraction from Scientific Documents.

    Science.gov (United States)

    Vanegas, Jorge A; Matos, Sérgio; González, Fabio; Oliveira, José L

    2015-01-01

    This paper presents a review of state-of-the-art approaches to automatic extraction of biomolecular events from scientific texts. Events involving biomolecules such as genes, transcription factors, or enzymes, for example, have a central role in biological processes and functions and provide valuable information for describing physiological and pathogenesis mechanisms. Event extraction from biomedical literature has a broad range of applications, including support for information retrieval, knowledge summarization, and information extraction and discovery. However, automatic event extraction is a challenging task due to the ambiguity and diversity of natural language and higher-level linguistic phenomena, such as speculations and negations, which occur in biological texts and can lead to misunderstanding or incorrect interpretation. Many strategies have been proposed in the last decade, originating from different research areas such as natural language processing, machine learning, and statistics. This review summarizes the most representative approaches in biomolecular event extraction and presents an analysis of the current state of the art and of commonly used methods, features, and tools. Finally, current research trends and future perspectives are also discussed.

  5. An Overview of Biomolecular Event Extraction from Scientific Documents

    Directory of Open Access Journals (Sweden)

    Jorge A. Vanegas

    2015-01-01

    Full Text Available This paper presents a review of state-of-the-art approaches to automatic extraction of biomolecular events from scientific texts. Events involving biomolecules such as genes, transcription factors, or enzymes, for example, have a central role in biological processes and functions and provide valuable information for describing physiological and pathogenesis mechanisms. Event extraction from biomedical literature has a broad range of applications, including support for information retrieval, knowledge summarization, and information extraction and discovery. However, automatic event extraction is a challenging task due to the ambiguity and diversity of natural language and higher-level linguistic phenomena, such as speculations and negations, which occur in biological texts and can lead to misunderstanding or incorrect interpretation. Many strategies have been proposed in the last decade, originating from different research areas such as natural language processing, machine learning, and statistics. This review summarizes the most representative approaches in biomolecular event extraction and presents an analysis of the current state of the art and of commonly used methods, features, and tools. Finally, current research trends and future perspectives are also discussed.

  6. The birth of the first child as a positive event in the lives of young parents

    Directory of Open Access Journals (Sweden)

    Wójtowicz-Dacka Małgorzata

    2014-06-01

    Full Text Available The aim of the study was to research the relatioship between level of knowledge possessed by the contemporary parents about the psychological needs of small children and their perception of the birth of their child as a positive event. Study involved 90 parents, aged 25-30, who are currently raising young children up to 1 year of age. The analyses that were carried out verified the existence of such a correlation, but the event of birth is not a positive event for all parents. In summary, the sense of satisfaction with the birth of a child and perceiving this situation as a positive event is especially high among women and those with a higher education. For men and for parents with a low level of education, it can become a positive experience if they raise their level of knowledge about the needs of small children.

  7. Metasynthetic computing and engineering of complex systems

    CERN Document Server

    Cao, Longbing

    2015-01-01

    Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy thro

  8. Differences in the neural signature of remembering schema-congruent and schema-incongruent events.

    Science.gov (United States)

    Brod, Garvin; Lindenberger, Ulman; Werkle-Bergner, Markus; Shing, Yee Lee

    2015-08-15

    New experiences are remembered in relation to one's existing world knowledge or schema. Recent research suggests that the medial prefrontal cortex (mPFC) supports the retrieval of schema-congruent information. However, the neural mechanisms supporting memory for information violating a schema have remained elusive, presumably because incongruity is inherently ambiguous in tasks that rely on world knowledge. We present a novel paradigm that experimentally induces hierarchically structured knowledge to directly contrast neural correlates that contribute to the successful retrieval of schema-congruent versus schema-incongruent information. We hypothesize that remembering incongruent events engages source memory networks including the lateral PFC. In a sample of young adults, we observed enhanced activity in the dorsolateral PFC (DLPFC), in the posterior parietal cortex, and in the striatum when successfully retrieving incongruent events, along with enhanced connectivity between DLPFC and striatum. In addition, we found enhanced mPFC activity for successfully retrieved events that are congruent with the induced schema, presumably reflecting a role of the mPFC in biasing retrieval towards schema-congruent episodes. We conclude that medial and lateral PFC contributions to memory retrieval differ by schema congruency, and highlight the utility of the new experimental paradigm for addressing developmental research questions. Copyright © 2015 Elsevier Inc. All rights reserved.

  9. Future Earth Health Knowledge-Action Network.

    Science.gov (United States)

    Shrivastava, Paul; Raivio, Kari; Kasuga, Fumiko; Tewksbury, Joshua; Haines, Andy; Daszak, Peter

    Future Earth is an international research platform providing the knowledge and support to accelerate our transformations to a sustainable world. Future Earth 2025 Vision identified eight key focal challenges, and challenge #6 is to "Improve human health by elucidating, and finding responses to, the complex interactions amongst environmental change, pollution, pathogens, disease vectors, ecosystem services, and people's livelihoods, nutrition and well-being." Several studies, including the Rockefeller Foundation/Lancet Planetary Health Commission Report of 2015, the World Health Organization/Convention on Biological Diversity report and those by oneHEALTH (former ecoHEALTH), have been conducted over the last 30 years. Knowledge-Action Networks (KANs) are the frameworks to apply Future Earth principles of research to related activities that respond to societal challenges. Future Earth Health Knowledge-Action Network will connect health researchers with other natural and social scientists, health and environmental policy professionals and leaders in government, the private sector and civil society to provide research-based solutions based on better, integrated understanding of the complex interactions between a changing global environment and human health. It will build regional capacity to enhance resilience, protect the environment and avert serious threats to health and will also contribute to achieving Sustainable Development Goals. In addition to the initial partners, Future Earth Health Knowledge-Action Network will further nourish collaboration with other on-going, leading research programmes outside Future Earth, by encouraging them in active participation.

  10. Using Complex Event Processing (CEP) and vocal synthesis techniques to improve comprehension of sonified human-centric data

    Science.gov (United States)

    Rimland, Jeff; Ballora, Mark

    2014-05-01

    The field of sonification, which uses auditory presentation of data to replace or augment visualization techniques, is gaining popularity and acceptance for analysis of "big data" and for assisting analysts who are unable to utilize traditional visual approaches due to either: 1) visual overload caused by existing displays; 2) concurrent need to perform critical visually intensive tasks (e.g. operating a vehicle or performing a medical procedure); or 3) visual impairment due to either temporary environmental factors (e.g. dense smoke) or biological causes. Sonification tools typically map data values to sound attributes such as pitch, volume, and localization to enable them to be interpreted via human listening. In more complex problems, the challenge is in creating multi-dimensional sonifications that are both compelling and listenable, and that have enough discrete features that can be modulated in ways that allow meaningful discrimination by a listener. We propose a solution to this problem that incorporates Complex Event Processing (CEP) with speech synthesis. Some of the more promising sonifications to date use speech synthesis, which is an "instrument" that is amenable to extended listening, and can also provide a great deal of subtle nuance. These vocal nuances, which can represent a nearly limitless number of expressive meanings (via a combination of pitch, inflection, volume, and other acoustic factors), are the basis of our daily communications, and thus have the potential to engage the innate human understanding of these sounds. Additionally, recent advances in CEP have facilitated the extraction of multi-level hierarchies of information, which is necessary to bridge the gap between raw data and this type of vocal synthesis. We therefore propose that CEP-enabled sonifications based on the sound of human utterances could be considered the next logical step in human-centric "big data" compression and transmission.

  11. The role of positive and negative childhood events in the risk of developing personality disorders

    OpenAIRE

    Chua, M

    2015-01-01

    Existing research has predominantly focused on a limited range of childhood events and personality disorders, such as childhood maltreatment and borderline personality disorder. Moreover, researchers rarely account for multiple risk factors within the same study, despite the reality that childhood events do not occur in isolation. Therefore, the current research aims to contribute to the knowledge on childhood events and personality disorder symptoms by investigating a wider range of risk and...

  12. Knowledge brokerage context factors – What matters in knowledge exchange in impact assessment?

    International Nuclear Information System (INIS)

    Saarela, Sanna-Riikka; Söderman, Tarja; Lyytimäki, Jari

    2015-01-01

    Highlights: • Different knowledge brokerage strategies can be applied in impact assessment. • A conceptual framework for knowledge brokering is introduced. • Six test cases from different areas and jurisdictions are reviewed. • Various context factors affect the success of knowledge brokering in IA. - Abstract: The success of an impact assessment (IA) can mean both instrumental success of applying IA results directly in decision-making, and conceptual success linked to learning about policy problems more generally. Both instrumental and conceptual success can be claimed to be reliant on the knowledge exchange context of the IA, shaped by factors such as the complexity of the policy problem, type of policy area, organisational norms, actor constellations and continuance and openness of information sharing. Even though such context factors may be pre-set, they are nevertheless contested and reformulated during each IA process. This paper ties together lessons from six different IA processes that were performed between 2011 and 2013. The cases include agricultural policy at the EU and regional level in Greece, national-level climate change and energy policy in Finland and Estonia, resource efficiency policy at the German national level, and sustainable land use policy in Inner Mongolia, China. The paper introduces and applies a typology of knowledge brokerage context factors. The paper asks how knowledge brokerage is shaped by different contexts and what determines the consequent application (or non-application) of IA tools and the use of IA results. The paper concludes by highlighting the significance of identification and acknowledgement of different knowledge exchange contexts in IA

  13. Knowledge systems of societies for adaptation and mitigation of impacts of climate change

    Energy Technology Data Exchange (ETDEWEB)

    Nautiyal, Sunil; Raju, K.V. [Institute for Social and Economic Change, Bangalore (India). Centre for Ecological Economics and Natural Resources; Rao, K.S. [Delhi Univ. (India). Dept. of Botany; Kaechele, Harald [Leibniz Centre for Agricultural Landscape Research, Muencheberg (Germany). Inst. of Socioeconomics; Schaldach, Ruediger (ed.) [Kassel Univ. (Germany). Centre for Environmental System Research

    2013-07-01

    Climate change is broadly recognized as a key environmental issue affecting social and ecological systems worldwide. At the Cancun summit of the United Nations Framework Convention on Climate Change's 16th Conference, the parties jointly agreed that the vulnerable groups particularly in developing countries and whose livelihood is based on land use practices are the most common victims as in most cases their activities are shaped by the climate. Therefore, solving the climate dilemma through mitigation processes and scientific research is an ethical concern. Thus combining the knowledge systems of the societies and scientific evidences can greatly assist in the creation of coping mechanisms for sustainable development in a situation of changing climate. International Humboldt Kolleg focusing on ''knowledge systems of societies and Climate Change'' was organized at ISEC. This event was of unique importance, as the year 2011-12 was celebrated as the 60th Anniversary of Diplomatic Relations between India and Germany with the motto ''Germany and India - Infinite Opportunities.'' This volume is the outcome of the papers presented during the IHK 2011 at ISEC, India. It reports on the present knowledge systems in a third world country which has always practiced a live and let live philosophy. Furthermore it provides valuable information for understanding the complexity of socio-ecological systems in relation to the projected impacts of climate change.

  14. Perceived synchrony for realistic and dynamic audiovisual events.

    Science.gov (United States)

    Eg, Ragnhild; Behne, Dawn M

    2015-01-01

    In well-controlled laboratory experiments, researchers have found that humans can perceive delays between auditory and visual signals as short as 20 ms. Conversely, other experiments have shown that humans can tolerate audiovisual asynchrony that exceeds 200 ms. This seeming contradiction in human temporal sensitivity can be attributed to a number of factors such as experimental approaches and precedence of the asynchronous signals, along with the nature, duration, location, complexity and repetitiveness of the audiovisual stimuli, and even individual differences. In order to better understand how temporal integration of audiovisual events occurs in the real world, we need to close the gap between the experimental setting and the complex setting of everyday life. With this work, we aimed to contribute one brick to the bridge that will close this gap. We compared perceived synchrony for long-running and eventful audiovisual sequences to shorter sequences that contain a single audiovisual event, for three types of content: action, music, and speech. The resulting windows of temporal integration showed that participants were better at detecting asynchrony for the longer stimuli, possibly because the long-running sequences contain multiple corresponding events that offer audiovisual timing cues. Moreover, the points of subjective simultaneity differ between content types, suggesting that the nature of a visual scene could influence the temporal perception of events. An expected outcome from this type of experiment was the rich variation among participants' distributions and the derived points of subjective simultaneity. Hence, the designs of similar experiments call for more participants than traditional psychophysical studies. Heeding this caution, we conclude that existing theories on multisensory perception are ready to be tested on more natural and representative stimuli.

  15. Minimum bias and underlying event studies at CDF

    International Nuclear Information System (INIS)

    Moggi, Niccolo

    2010-01-01

    Soft, non-perturbative, interactions are poorly understood from the theoretical point of view even though they form a large part of the hadronic cross section at the energies now available. We review the CDF studies on minimum-bias ad underlying event in p(bar p) collisions at 2 TeV. After proposing an operative definition of 'underlying event', we present part of a systematic set of measurements carried out by the CDF Collaboration with the goal to provide data to test and improve the QCD models of hadron collisions. Different analysis strategies of the underlying event and possible event topologies are discussed. Part of the CDF minimum-bias results are also presented: in this sample, that represent the full inelastic cross-section, we can test simultaneously our knowledge of all the components that concur to form hadronic interactions. Comparisons with MonteCarlo simulations are always shown along with the data. These measurements will also contribute to more precise estimates of the soft QCD background of high-p T observables.

  16. A computational framework for modeling targets as complex adaptive systems

    Science.gov (United States)

    Santos, Eugene; Santos, Eunice E.; Korah, John; Murugappan, Vairavan; Subramanian, Suresh

    2017-05-01

    Modeling large military targets is a challenge as they can be complex systems encompassing myriad combinations of human, technological, and social elements that interact, leading to complex behaviors. Moreover, such targets have multiple components and structures, extending across multiple spatial and temporal scales, and are in a state of change, either in response to events in the environment or changes within the system. Complex adaptive system (CAS) theory can help in capturing the dynamism, interactions, and more importantly various emergent behaviors, displayed by the targets. However, a key stumbling block is incorporating information from various intelligence, surveillance and reconnaissance (ISR) sources, while dealing with the inherent uncertainty, incompleteness and time criticality of real world information. To overcome these challenges, we present a probabilistic reasoning network based framework called complex adaptive Bayesian Knowledge Base (caBKB). caBKB is a rigorous, overarching and axiomatic framework that models two key processes, namely information aggregation and information composition. While information aggregation deals with the union, merger and concatenation of information and takes into account issues such as source reliability and information inconsistencies, information composition focuses on combining information components where such components may have well defined operations. Since caBKBs can explicitly model the relationships between information pieces at various scales, it provides unique capabilities such as the ability to de-aggregate and de-compose information for detailed analysis. Using a scenario from the Network Centric Operations (NCO) domain, we will describe how our framework can be used for modeling targets with a focus on methodologies for quantifying NCO performance metrics.

  17. Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS

    Directory of Open Access Journals (Sweden)

    Stefano Canali

    2016-09-01

    Full Text Available Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS, whose research is funded by the European Commission and considered capable of improving our understanding of the relation between exposure and disease. While EXPOsOMICS may seem the perfect exemplification of the data-driven view, I show how causal knowledge is necessary for the project, both as a source for handling complexity and as an output for meeting the project’s goals. Consequently, I argue that data-driven claims about causality are fundamentally flawed and causal knowledge should be considered a necessary aspect of Big Data science. In addition, I present the consequences of this result on other data-driven claims, concerning the role of theoretical considerations. I argue that the importance of causal knowledge and other kinds of theoretical engagement in EXPOsOMICS undermine theory-free accounts and suggest alternative ways of framing science based on Big Data.

  18. A System Theoretical Inspired Approach to Knowledge Construction

    DEFF Research Database (Denmark)

    Mathiasen, Helle

    2008-01-01

    student's knowledge construction, in the light of operative constructivism, inspired by the German sociologist N. Luhmann's system theoretical approach to epistemology. Taking observations as operations based on distinction and indication (selection) contingency becomes a fundamental condition in learning......  Abstract The aim of this paper is to discuss the relation between teaching and learning. The point of departure is that teaching environments (communication forums) is a potential facilitator for learning processes and knowledge construction. The paper present a theoretical frame work, to discuss...... processes, and a condition which teaching must address as far as teaching strives to stimulate non-random learning outcomes. Thus learning outcomes understood as the individual learner's knowledge construction cannot be directly predicted from events and characteristics in the environment. This has...

  19. A knowledge-based integrated approach for discovering and repairing declare maps

    NARCIS (Netherlands)

    Maggi, F.M.; Jagadeesh Chandra Bose, R.P.; Aalst, van der W.M.P.; Salinesi, C.; Norrie, M.C.; Pastor, O.

    2013-01-01

    Process mining techniques can be used to discover process models from event data. Often the resulting models are complex due to the variability of the underlying process. Therefore, we aim at discovering declarative process models that can deal with such variability. However, for real-life event

  20. Human based roots of failures in nuclear events investigations

    Energy Technology Data Exchange (ETDEWEB)

    Ziedelis, Stanislovas; Noel, Marc; Strucic, Miodrag [Commission of the European Communities, Petten (Netherlands). European Clearinghouse on Operational Experience Feedback for Nuclear Power Plants

    2012-10-15

    This paper aims for improvement of quality of the event investigations in the nuclear industry through analysis of the existing practices, identifying and removing the existing Human and Organizational Factors (HOF) and management related barriers. It presents the essential results of several studies performed by the European Clearinghouse on Operational Experience. Outcomes of studies are based on survey of currently existing event investigation practices typical for nuclear industry of 12 European countries, as well as on insights from analysis of numerous event investigation reports. System of operational experience feedback from information based on event investigation results is not enough effective to prevent and even to decrease frequency of recurring events due to existing methodological, HOF-related and/or knowledge management related constraints. Besides that, several latent root causes of unsuccessful event investigation are related to weaknesses in safety culture of personnel and managers. These weaknesses include focus on costs or schedule, political manipulation, arrogance, ignorance, entitlement and/or autocracy. Upgrades in safety culture of organization's personnel and its senior management especially seem to be an effective way to improvement. Increasing of competencies, capabilities and level of independency of event investigation teams, elaboration of comprehensive software, ensuring of positive approach, adequate support and impartiality of management could also facilitate for improvement of quality of the event investigations. (orig.)

  1. Human based roots of failures in nuclear events investigations

    International Nuclear Information System (INIS)

    Ziedelis, Stanislovas; Noel, Marc; Strucic, Miodrag

    2012-01-01

    This paper aims for improvement of quality of the event investigations in the nuclear industry through analysis of the existing practices, identifying and removing the existing Human and Organizational Factors (HOF) and management related barriers. It presents the essential results of several studies performed by the European Clearinghouse on Operational Experience. Outcomes of studies are based on survey of currently existing event investigation practices typical for nuclear industry of 12 European countries, as well as on insights from analysis of numerous event investigation reports. System of operational experience feedback from information based on event investigation results is not enough effective to prevent and even to decrease frequency of recurring events due to existing methodological, HOF-related and/or knowledge management related constraints. Besides that, several latent root causes of unsuccessful event investigation are related to weaknesses in safety culture of personnel and managers. These weaknesses include focus on costs or schedule, political manipulation, arrogance, ignorance, entitlement and/or autocracy. Upgrades in safety culture of organization's personnel and its senior management especially seem to be an effective way to improvement. Increasing of competencies, capabilities and level of independency of event investigation teams, elaboration of comprehensive software, ensuring of positive approach, adequate support and impartiality of management could also facilitate for improvement of quality of the event investigations. (orig.)

  2. EPISTEMOLOGY AND INVESTIGATION WITHIN THE CURRENT ORGANIZATIONAL COMPLEX SYSTEMS

    Directory of Open Access Journals (Sweden)

    Karla Torres

    2015-11-01

    Full Text Available The way of approaching reality and generate knowledge is now different from those applied in the past ; It is why the aim of this paper was to analyze the changing elements in organizational structures framed in complex systems , addressing the study from the interpretive perspective with the use of hermeneutical method in theory , documentary context. It is concluding that the research methods require adaptation to this new reality for knowledge production. The complexity plays an important role in organizational systems and the environment in general, raising the need for revision in the way of thinking and actually faces this new complex, full of uncertainty and organizational chaos.

  3. Knowledge base verification based on enhanced colored petri net

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Hyun; Seong, Poong Hyun [Korea Advanced Institute of Science and Technology, Taejon (Korea, Republic of)

    1998-12-31

    Verification is a process aimed at demonstrating whether a system meets it`s specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base and apply the method to verification of simple knowledge base. 8 refs., 4 figs. (Author)

  4. Knowledge base verification based on enhanced colored petri net

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Hyun; Seong, Poong Hyun [Korea Advanced Institute of Science and Technology, Taejon (Korea, Republic of)

    1997-12-31

    Verification is a process aimed at demonstrating whether a system meets it`s specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base and apply the method to verification of simple knowledge base. 8 refs., 4 figs. (Author)

  5. Spectral simplicity of apparent complexity. II. Exact complexities and complexity spectra

    Science.gov (United States)

    Riechers, Paul M.; Crutchfield, James P.

    2018-03-01

    The meromorphic functional calculus developed in Part I overcomes the nondiagonalizability of linear operators that arises often in the temporal evolution of complex systems and is generic to the metadynamics of predicting their behavior. Using the resulting spectral decomposition, we derive closed-form expressions for correlation functions, finite-length Shannon entropy-rate approximates, asymptotic entropy rate, excess entropy, transient information, transient and asymptotic state uncertainties, and synchronization information of stochastic processes generated by finite-state hidden Markov models. This introduces analytical tractability to investigating information processing in discrete-event stochastic processes, symbolic dynamics, and chaotic dynamical systems. Comparisons reveal mathematical similarities between complexity measures originally thought to capture distinct informational and computational properties. We also introduce a new kind of spectral analysis via coronal spectrograms and the frequency-dependent spectra of past-future mutual information. We analyze a number of examples to illustrate the methods, emphasizing processes with multivariate dependencies beyond pairwise correlation. This includes spectral decomposition calculations for one representative example in full detail.

  6. [The application of forensic medical knowledge for the reconstruction of historical events].

    Science.gov (United States)

    Kovalev, A V; Molin, Yu A; Gorshkov, A N; Smolyanitsky, A G; Mazurova, E A; Vorontsov, G A

    2015-01-01

    The objective of the present study was to summarize the results of many year investigations on the application of forensic medical methods and experience for the reconstruction of historical events including identification of the ancient Russian saints' hallows and statesmen's remains, elucidation of the genuine causes of death of the members of the Russian Imperial House of Romanovs based on the recently discovered archival materials, restoration of the character of the injuries suffered by Aleksander II, M.I. Kutuzov, P. Demidov, G. Gapon., and G. Rasputin, the attribution A.S. Pushkin's memorial belongings based on the biological traces, and the like.

  7. In Pursuit of Natural Logics for Ontology-Structured Knowledge Bases

    DEFF Research Database (Denmark)

    Nilsson, Jørgen Fischer

    2015-01-01

    We argue for adopting a form of natural logic for ontology-structured knowledge bases with complex sentences. This serves to ease reading of knowledge base for domain experts and to make reasoning and querying and path-finding more comprehensible. We explain natural logic as a development from tr...

  8. Relationship of stress and knowledge workers productivity in Mess-Sarcheshmeh Company

    Directory of Open Access Journals (Sweden)

    M. Jahanshahi

    2010-04-01

    Full Text Available Background and aims   the stress is creating from high density, complexity and long hours of work. Stress is higher among Knowledge workers because of the nature of knowledge work based on the complexity and high focus, aside from the Millennium Challenge is the productivity of   Knowledge workers. The aim of this study reviews the relationship between stress and productivity of Knowledge workers at the Mess-Sarcheshmeh company.     Methods   in this cross sectional study was studied 120 Knowledge workers of Mess-Sarcheshmeh Company. Data in this study were extracted through interviews and completing of performance measurement questionnaire, stress measurement questionnaire and Knowledge   workers productivity measurement questionnaire.     Results   The group of Computer Programming has highest productivity and job satisfaction,  and stress in this group is more desirable. Stress in the 95 percent confidence level and loyalty and job satisfaction in the 90 percent confidence level are associated with knowledge workers productivity. Job satisfaction has most effect on knowledge workers productivity.     Conclusion   The findings of this study indicate that not only stress has harmful effects suffering of people to emotional and physical diseases. But also, it affects on the productivity of managers and knowledge workers. Deal with it, which need for proper proactive planning in this area, who should participate in planning the annual interest adhered.  

  9. Knowledge transfer isn’t simply transfer

    DEFF Research Database (Denmark)

    Dao, Li; Napier, Nancy

    2012-01-01

    This paper examines micro dynamic aspects of knowledge sharing and learning in international joint venture settings. Learning of expatriate and local managers appears far more complex and mutually dependent than conventionally speculated in existing literature. The paper proposes that the effect ...... Danish and Vietnamese firms. The paper suggests that learning in IJVs, even in the context of one-way knowledge transfer from the foreign parent, should be managed in a mutual perspective and with thoughtful coordination of individual learning....... and outcome of knowledge transfer from joint venture parents and learning in IJVs are dependent on how individual managers (including both expatriate and local) learn, perceive their learning roles, and enact a learning agenda. Empirical evidence is drawn from two cases of international joint ventures between...

  10. Gene-Environment Interactions in the Development of Complex Disease Phenotypes

    Directory of Open Access Journals (Sweden)

    Kenneth Olden

    2008-03-01

    Full Text Available The lack of knowledge about the earliest events in disease development is due to the multi-factorial nature of disease risk. This information gap is the consequence of the lack of appreciation for the fact that most diseases arise from the complex interactions between genes and the environment as a function of the age or stage of development of the individual. Whether an environmental exposure causes illness or not is dependent on the efficiency of the so-called “environmental response machinery” (i.e., the complex of metabolic pathways that can modulate response to environmental perturbations that one has inherited. Thus, elucidating the causes of most chronic diseases will require an understanding of both the genetic and environmental contribution to their etiology. Unfortunately, the exploration of the relationship between genes and the environment has been hampered in the past by the limited knowledge of the human genome, and by the inclination of scientists to study disease development using experimental models that consider exposure to a single environmental agent. Rarely in the past were interactions between multiple genes or between genes and environmental agents considered in studies of human disease etiology. The most critical issue is how to relate exposure-disease association studies to pathways and mechanisms. To understand how genes and environmental factors interact to perturb biological pathways to cause injury or disease, scientists will need tools with the capacity to monitor the global expression of thousands of genes, proteins and metabolites simultaneously. The generation of such data in multiple species can be used to identify conserved and functionally significant genes and pathways involved in geneenvironment interactions. Ultimately, it is this knowledge that will be used to guide agencies such as the U.S. Department of Health and Human Services in decisions regarding biomedical research funding

  11. Root Cause Analysis Following an Event at a Nuclear Installation: Reference Manual. Companion CD

    International Nuclear Information System (INIS)

    2015-01-01

    Following an event at a nuclear installation, it is important to determine accurately its root causes so that effective corrective actions can be implemented. As stated in IAEA Safety Standards Series No. SF-1, Fundamental Safety Principles: “Processes must be put in place for the feedback and analysis of operating experience”. If this process is completed effectively, the probability of a similar event occurring is significantly reduced. Guidance on how to establish and implement such a process is given in IAEA Safety Standards Series No. NS-G-2.11, A System for the Feedback of Experience from Events in Nuclear Installations. To cater for the diverse nature of operating experience events, several different root cause analysis (RCA) methodologies and techniques have been developed for effective investigation and analysis. An event here is understood as any unanticipated sequence of occurrences that results in, or potentially results in, consequences to plant operation and safety. RCA is not a topic uniquely relevant to event investigators: knowledge of the concepts enhances the learning characteristics of the whole organization. This knowledge also makes a positive contribution to nuclear safety and helps to foster a culture of preventing event occurrence. This publication allows organizations to deepen their knowledge of these methodologies and techniques and also provides new organizations with a broad overview of the RCA process. It is the outcome of a coordinated effort involving the participation of experts from nuclear organizations, the energy industry and research centres in several Member States. This publication also complements IAEA Services Series No. 10, PROSPER Guidelines: Guidelines for Peer Review and for Plant Self- Assessment of Operational Experience Feedback Process, and is intended to form part of a suite of publications developing the principles set forth in these guidelines. In addition to the information and description of RCA

  12. 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

  13. A semi-supervised learning framework for biomedical event extraction based on hidden topics.

    Science.gov (United States)

    Zhou, Deyu; Zhong, Dayou

    2015-05-01

    Scientists have devoted decades of efforts to understanding the interaction between proteins or RNA production. The information might empower the current knowledge on drug reactions or the development of certain diseases. Nevertheless, due to the lack of explicit structure, literature in life science, one of the most important sources of this information, prevents computer-based systems from accessing. Therefore, biomedical event extraction, automatically acquiring knowledge of molecular events in research articles, has attracted community-wide efforts recently. Most approaches are based on statistical models, requiring large-scale annotated corpora to precisely estimate models' parameters. However, it is usually difficult to obtain in practice. Therefore, employing un-annotated data based on semi-supervised learning for biomedical event extraction is a feasible solution and attracts more interests. In this paper, a semi-supervised learning framework based on hidden topics for biomedical event extraction is presented. In this framework, sentences in the un-annotated corpus are elaborately and automatically assigned with event annotations based on their distances to these sentences in the annotated corpus. More specifically, not only the structures of the sentences, but also the hidden topics embedded in the sentences are used for describing the distance. The sentences and newly assigned event annotations, together with the annotated corpus, are employed for training. Experiments were conducted on the multi-level event extraction corpus, a golden standard corpus. Experimental results show that more than 2.2% improvement on F-score on biomedical event extraction is achieved by the proposed framework when compared to the state-of-the-art approach. The results suggest that by incorporating un-annotated data, the proposed framework indeed improves the performance of the state-of-the-art event extraction system and the similarity between sentences might be precisely

  14. Complexity Management - A multiple case study analysis on control and reduction of complexity costs

    DEFF Research Database (Denmark)

    Myrodia, Anna

    of products, with features more custom-made to cover individual needs, both regarding characteristics of products and support services. This necessity leads to a considerable increase of the complexity in the company, which affects the product portfolio, production and supply chain, market segments......, IT systems, and business processes. In order to identify and eliminate complexity, several approaches are used, both by researchers and practitioners. The purpose of this thesis is to contribute to the existing knowledge of complexity management theory. This research focuses on the relationship between......Complexity tends to be arguably the biggest challenge of manufacturing companies. The motivation of further studying complexity is a combination between the existing literature and the practical experiences from the industry. Based on the latest trend companies are trying to supply a growing mix...

  15. Managing Nuclear Knowledge: connecting past and future

    International Nuclear Information System (INIS)

    Ruyssen, M.-L.

    2006-01-01

    Since several years SCKoCEN has acknowledged the importance of Nuclear Knowledge Management. In recent years, a number of trends have drawn attention to the need for better management of nuclear knowledge. At the Lisbon European Council in 2000 the role of RandD was recognized as the driving force for a competitive and dynamic knowledge-based economy and linked to the economy's capacity to turn new knowledge into technological innovation. Knowledge management (KM) is therefore becoming more and more critical to exploit RandD results effectively and expect sufficient returns to balance the risk inherent in the large investments required by today's nuclear research. The SCK-CEN practical approach towards Nuclear Knowledge Management is twofold. First, the capture of tacit knowledge before the loss of key individuals as well as the preservation of various knowledge repositories address the complex issues of aging of the nuclear workforce and reduction of the number of students taking nuclear subjects. Secondly, the set up of education networks at international level aims to prevent further dilution of nuclear education and training programmes while pooling nuclear research resources in order to meet future requirements for qualified nuclear staff. Knowledge management combines therefore different sources of information with human knowledge capital

  16. Knowledge Visualization for Self-Regulated Learning

    Science.gov (United States)

    Wang, Minhong; Peng, Jun; Cheng, Bo; Zhou, Hance; Liu, Jie

    2011-01-01

    The Web allows self-regulated learning through interaction with large amounts of learning resources. While enjoying the flexibility of learning, learners may suffer from cognitive overload and conceptual and navigational disorientation when faced with various information resources under disparate topics and complex knowledge structures. This study…

  17. OK-Net Arable online knowledge platform

    DEFF Research Database (Denmark)

    Rasmussen, Ilse Ankjær; Jensen, Allan Leck; Jørgensen, Margit Styrbæk

    2017-01-01

    The complexity of organic farming requires farmers to have a very high level of knowledge and skills, but exchange on organic farming techniques remains limited. In order to increase productivity and quality in organic arable cropping in Europe, the thematic network OK-Net Arable under Horizon 20...

  18. Knowledge Management for Large Scale Condition Based Maintenance

    Data.gov (United States)

    National Aeronautics and Space Administration — This presentation will review the use of knowledge management in the development and support of Condition Based Maintenance (CBM) systems for complex systems with...

  19. AN INVESTIGATION OF CONTEXTUAL INFLUENCES ON INNOVATION IN COMPLEX PROJECTS

    DEFF Research Database (Denmark)

    Kavin, Lone; Narasimhan, Ram

    2018-01-01

    There is paucity of literature on supplier-enabled-innovation in complex project-contexts. Based on literature from repetitive-manufacturing-contexts, this conceptual chapter identifies innovation-fostering-practices and develops a conceptual-framework relating them to innovation-performance. The......There is paucity of literature on supplier-enabled-innovation in complex project-contexts. Based on literature from repetitive-manufacturing-contexts, this conceptual chapter identifies innovation-fostering-practices and develops a conceptual-framework relating them to innovation......-performance. The framework suggests that new knowledge is the basis of innovation and leveraging knowledge from the supply-network is a key element along with absorptive-capacity and R&D-investment in creating new knowledge. New knowledge, however, must be exploited to create innovative new products and successfully...... commercialized. Suppliers can play an important role in ensuring successful exploitation of new knowledge. We posit that innovation-fostering-practices mediate the exploitation of new knowledge into superior innovation-performance. Thus, the proposed conceptual-framework incorporates the exploration...

  20. Design basis II: Design for events

    International Nuclear Information System (INIS)

    Frisch, W.

    1982-01-01

    In a lecture of this title, it could be expected that all events which are a basis for system and component design are described. According to the title of the Course 'Instrumentation and Control of Nuclear Power Plants' emphasis is put on events originating within the plant (no consideration of external events such as air plane crash or earth-quake). The lecture is divided into the two parts 'Transients' and 'Loss of coolant accidents (LOCAs)'. Due to the complex interaction between systems and components during transients, the first part is the main part of the lecture, while the second part (LOCAs) is only a very brief description of emergency core cooling system functions and the typical course of a large and small LOCA event. The first part on anticipated transients with intact primary coolant system boundary (non-LOCA-transients) covers several aspects of the analysis, such as classification, brief system description, transient description, analysis of anticipated transients without scram (ATWS) and analytical methods. Due to the time restriction necessary within the course, only a small section of the entire area can be presented in this paper. (orig.)