WorldWideScience

Sample records for modeling human knowledge

  1. Using a knowledge elicitation method to specify the business model of a human factors organization

    NARCIS (Netherlands)

    Schraagen, J.M.C.; Ven, J. van de; Hoffman, R.R.; Moon, B.M.

    2009-01-01

    Concept Mapping was used to structure knowledge elicitation interviews with a group of human factors specialists whose goal was to describe the business model of their Department. This novel use of cognitive task analysis to describe the business model of a human factors organization resulted in a n

  2. Using a knowledge elicitation method to specify the business model of a human factors organization

    NARCIS (Netherlands)

    Schraagen, J.M.C.; Ven, J. van de; Hoffman, R.R.; Moon, B.M.

    2009-01-01

    Concept Mapping was used to structure knowledge elicitation interviews with a group of human factors specialists whose goal was to describe the business model of their Department. This novel use of cognitive task analysis to describe the business model of a human factors organization resulted in a n

  3. Using a knowledge elicitation method to specify the business model of a human factors organization.

    NARCIS (Netherlands)

    Schraagen, Johannes Martinus Cornelis; van de Ven, Josine; Hoffman, Robert R.; Moon, Brian M.

    2009-01-01

    Concept Mapping was used to structure knowledge elicitation interviews with a group of human factors specialists whose goal was to describe the business model of their Department. This novel use of cognitive task analysis to describe the business model of a human factors organization resulted in a n

  4. The development of human behavior analysis techniques - A study on knowledge representation methods for operator cognitive model

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Jung Woon; Park, Young Tack [Soongsil University, Seoul (Korea, Republic of)

    1996-07-01

    The main objective of this project is modeling of human operator in a main control room of Nuclear Power Plant. For this purpose, we carried out research on knowledge representation and inference method based on Rasmussen`s decision ladder structure. And we have developed SACOM(Simulation= Analyzer with a Cognitive Operator Model) using G2 shell on Sun workstations. SACOM consists of Operator Model, Interaction Analyzer, Situation Generator. Cognitive model aims to build a more detailed model of human operators in an effective way. SACOM is designed to model knowledge-based behavior of human operators more easily. The followings are main research topics carried out this year. First, in order to model knowledge-based behavior of human operators, more detailed scenarios are constructed. And, knowledge representation and inference methods are developed to support the scenarios. Second, meta knowledge structures are studied to support human operators 4 types of diagnoses. This work includes a study on meta and scheduler knowledge structures for generate-and-test, topographic, decision tree and case-based approaches. Third, domain knowledge structure are improved to support meta knowledge. Especially, domain knowledge structures are developed to model topographic diagnosis model. Fourth, more applicable interaction analyzer and situation generator are designed and implemented. The new version is implemented in G2 on Sun workstations. 35 refs., 49 figs. (author)

  5. Knowledge Management, Human Resource Management, and Higher Education: A Theoretical Model

    Science.gov (United States)

    Brewer, Peggy D.; Brewer, Kristen L.

    2010-01-01

    Much has been written on the importance of knowledge management, the challenges facing organizations, and the important human resource management activities involved in assuring the acquisition and transfer of knowledge. Higher business education plays an important role in preparing students to assume the knowledge management and human resource…

  6. Knowledge Management, Human Resource Management, and Higher Education: A Theoretical Model

    Science.gov (United States)

    Brewer, Peggy D.; Brewer, Kristen L.

    2010-01-01

    Much has been written on the importance of knowledge management, the challenges facing organizations, and the important human resource management activities involved in assuring the acquisition and transfer of knowledge. Higher business education plays an important role in preparing students to assume the knowledge management and human resource…

  7. Knowledge Model: Project Knowledge Management

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter; Grolin, Daniel

    2009-01-01

    The Knowledge model for project management serves several goals:Introducing relevant concepts of project management area for software development (Section 1). Reviewing and understanding the real case requirements from the industrial perspective. (Section 2). Giving some preliminary suggestions f...

  8. Knowledge Model: Project Knowledge Management

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter; Grolin, Daniel

    2009-01-01

    The Knowledge model for project management serves several goals:Introducing relevant concepts of project management area for software development (Section 1). Reviewing and understanding the real case requirements from the industrial perspective. (Section 2). Giving some preliminary suggestions...

  9. A knowledge based approach to matching human neurodegenerative disease and animal models

    Directory of Open Access Journals (Sweden)

    Maryann E Martone

    2013-05-01

    Full Text Available Neurodegenerative diseases present a wide and complex range of biological and clinical features. Animal models are key to translational research, yet typically only exhibit a subset of disease features rather than being precise replicas of the disease. Consequently, connecting animal to human conditions using direct data-mining strategies has proven challenging, particularly for diseases of the nervous system, with its complicated anatomy and physiology. To address this challenge we have explored the use of ontologies to create formal descriptions of structural phenotypes across scales that are machine processable and amenable to logical inference. As proof of concept, we built a Neurodegenerative Disease Phenotype Ontology and an associated Phenotype Knowledge Base using an entity-quality model that incorporates descriptions for both human disease phenotypes and those of animal models. Entities are drawn from community ontologies made available through the Neuroscience Information Framework and qualities are drawn from the Phenotype and Trait Ontology. We generated ~1200 structured phenotype statements describing structural alterations at the subcellular, cellular and gross anatomical levels observed in 11 human neurodegenerative conditions and associated animal models. PhenoSim, an open source tool for comparing phenotypes, was used to issue a series of competency questions to compare individual phenotypes among organisms and to determine which animal models recapitulate phenotypic aspects of the human disease in aggregate. Overall, the system was able to use relationships within the ontology to bridge phenotypes across scales, returning non-trivial matches based on common subsumers that were meaningful to a neuroscientist with an advanced knowledge of neuroanatomy. The system can be used both to compare individual phenotypes and also phenotypes in aggregate. This proof of concept suggests that expressing complex phenotypes using formal

  10. A knowledge based approach to matching human neurodegenerative disease and animal models

    Science.gov (United States)

    Maynard, Sarah M.; Mungall, Christopher J.; Lewis, Suzanna E.; Imam, Fahim T.; Martone, Maryann E.

    2013-01-01

    Neurodegenerative diseases present a wide and complex range of biological and clinical features. Animal models are key to translational research, yet typically only exhibit a subset of disease features rather than being precise replicas of the disease. Consequently, connecting animal to human conditions using direct data-mining strategies has proven challenging, particularly for diseases of the nervous system, with its complicated anatomy and physiology. To address this challenge we have explored the use of ontologies to create formal descriptions of structural phenotypes across scales that are machine processable and amenable to logical inference. As proof of concept, we built a Neurodegenerative Disease Phenotype Ontology (NDPO) and an associated Phenotype Knowledge Base (PKB) using an entity-quality model that incorporates descriptions for both human disease phenotypes and those of animal models. Entities are drawn from community ontologies made available through the Neuroscience Information Framework (NIF) and qualities are drawn from the Phenotype and Trait Ontology (PATO). We generated ~1200 structured phenotype statements describing structural alterations at the subcellular, cellular and gross anatomical levels observed in 11 human neurodegenerative conditions and associated animal models. PhenoSim, an open source tool for comparing phenotypes, was used to issue a series of competency questions to compare individual phenotypes among organisms and to determine which animal models recapitulate phenotypic aspects of the human disease in aggregate. Overall, the system was able to use relationships within the ontology to bridge phenotypes across scales, returning non-trivial matches based on common subsumers that were meaningful to a neuroscientist with an advanced knowledge of neuroanatomy. The system can be used both to compare individual phenotypes and also phenotypes in aggregate. This proof of concept suggests that expressing complex phenotypes using formal

  11. Assessment of entrepreneurship pedagogy on entrepreneurship knowledge and entrepreneurial human capital asset: A conceptual model

    Directory of Open Access Journals (Sweden)

    Chidimma Odira Okeke

    2016-06-01

    Full Text Available This study is an effort to propose a conceptual model to measure the impact assessment of entrepreneurship pedagogic. It delineates entrepreneurship education pedagogic into four dimensions and opined specific level for each dimension. Reviewing the entrepreneurship education programme, assessment of entrepreneurship pedagogic evaluates the structure that influence growth mindset development through embedded heuristic strategies, thus, the impact on entrepreneurship knowledge and entrepreneurial capital asset context is proposed. Affirming Fayolle, Gailly, and Lassa-Clerc conceptual affinity that entrepreneurship education share with learning theories and entrepreneurship pedagogical content knowledge were conceptualized to suggest some practical realism guidelines of what insightful philosophy of teaching entrepreneurship need to achieve. With direct synthesis of relevant literature, propositions relating to entrepreneurship pedagogic structure along with the institutional connectedness and associated dimensions of entrepreneurship pedagogic assessment outcome were postulated. Also, the paper proposes the need for further assessment of specific forms of pedagogic impact on entrepreneurial human capital asset.

  12. Ontological modelling of knowledge management for human-machine integrated design of ultra-precision grinding machine

    Science.gov (United States)

    Hong, Haibo; Yin, Yuehong; Chen, Xing

    2016-11-01

    Despite the rapid development of computer science and information technology, an efficient human-machine integrated enterprise information system for designing complex mechatronic products is still not fully accomplished, partly because of the inharmonious communication among collaborators. Therefore, one challenge in human-machine integration is how to establish an appropriate knowledge management (KM) model to support integration and sharing of heterogeneous product knowledge. Aiming at the diversity of design knowledge, this article proposes an ontology-based model to reach an unambiguous and normative representation of knowledge. First, an ontology-based human-machine integrated design framework is described, then corresponding ontologies and sub-ontologies are established according to different purposes and scopes. Second, a similarity calculation-based ontology integration method composed of ontology mapping and ontology merging is introduced. The ontology searching-based knowledge sharing method is then developed. Finally, a case of human-machine integrated design of a large ultra-precision grinding machine is used to demonstrate the effectiveness of the method.

  13. Assessment of entrepreneurship pedagogy on entrepreneurship knowledge and entrepreneurial human capital asset: A conceptual model

    OpenAIRE

    Chidimma Odira Okeke; David Gun Fie Yong

    2016-01-01

    This study is an effort to propose a conceptual model to measure the impact assessment of entrepreneurship pedagogic. It delineates entrepreneurship education pedagogic into four dimensions and opined specific level for each dimension. Reviewing the entrepreneurship education programme, assessment of entrepreneurship pedagogic evaluates the structure that influence growth mindset development through embedded heuristic strategies, thus, the impact on entrepreneurship knowledge and entrepreneur...

  14. Human Knowledge Resources and Interorganizational Systems

    NARCIS (Netherlands)

    M.K.M. Ibrahim (Mohammed); P.M.A. Ribbers (Piet); B.W.M. Bettonvil

    2007-01-01

    textabstractThis paper analyses how human knowledge resources affect capabilities and subsequently attainment of operational and strategic benefits. We test a conceptual model using data from two qualitative case studies and a quantitative field study. The findings indicate that human knowledge

  15. Human Knowledge Resources and Interorganizational Systems

    NARCIS (Netherlands)

    M.K.M. Ibrahim (Mohammed); P.M.A. Ribbers (Piet); B.W.M. Bettonvil

    2007-01-01

    textabstractThis paper analyses how human knowledge resources affect capabilities and subsequently attainment of operational and strategic benefits. We test a conceptual model using data from two qualitative case studies and a quantitative field study. The findings indicate that human knowledge posi

  16. Integrating knowledge seeking into knowledge management models and frameworks

    Directory of Open Access Journals (Sweden)

    Francois Lottering

    2012-02-01

    Full Text Available Background: A striking feature of the knowledge management (KM literature is that the standard list of KM processes either subsumes or overlooks the process of knowledge seeking. Knowledge seeking is manifestly under-theorised, making the need to address this gap in KM theory and practice clear and urgent.Objectives: This article investigates the theoretical status of the knowledge-seeking process in extant KM models and frameworks. It also statistically describes knowledge seeking and knowledge sharing practices in a sample of South African companies. Using this data, it proposes a KM model based on knowledge seeking.Method: Knowledge seeking is traced in a number of KM models and frameworks with a specific focus on Han Lai and Margaret Graham’s adapted KM cycle model, which separates knowledge seeking from knowledge sharing. This empirical investigation used a questionnaire to examine knowledge seeking and knowledge sharing practices in a sample of South African companies.Results: This article critiqued and elaborated on the adapted KM cycle model of Lai and Graham. It identified some of the key features of knowledge seeking practices in the workplace. It showed that knowledge seeking and sharing are human-centric actions and that seeking knowledge uses trust and loyalty as its basis. It also showed that one cannot separate knowledge seeking from knowledge sharing.Conclusion: The knowledge seeking-based KM model elaborates on Lai and Graham’s model. It provides insight into how and where people seek and share knowledge in the workplace. The article concludes that it is necessary to cement the place of knowledge seeking in KM models as well as frameworks and suggests that organisations should apply its findings to improving their knowledge management strategies. 

  17. Human papillomavirus (HPV) vaccine knowledge, attitudes, and uptake in college students: Implications from the Precaution Adoption Process Model.

    Science.gov (United States)

    Barnard, Marie; George, Phillis; Perryman, Mandy L; Wolff, Lori A

    2017-01-01

    The purpose of this study was to examine human papillomavirus (HPV) and HPV vaccine knowledge, attitudes, and uptake in college students and to identify factors associated with vaccination status utilizing the Precaution Adoption Process Model (PAPM). The sample included 383 undergraduates from a public university who participated in February and March 2015. Students were emailed an anonymous online survey assessing knowledge, attitudes, and perceptions related to HPV and HPV vaccination, as well as their stage in the PAPM regarding vaccination completion. Significantly more females (47.3%) than males (15.8%) were vaccinated. While most students had basic knowledge of HPV, they had low perceptions of their susceptibility to contract HPV. Most unvaccinated students were in the early stages of decision-making related to vaccination. Campus health centers have an opportunity to increase HPV vaccination rates. This study indicates that students need prompts from providers, as well as education regarding susceptibility to HPV.

  18. Standard model of knowledge representation

    Science.gov (United States)

    Yin, Wensheng

    2016-09-01

    Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

  19. Human Resource Development in the Knowledge Economy

    DEFF Research Database (Denmark)

    Jørgensen, Sanne Lehmann

    . In this line of thinking, the aim is to propose a model for analysing the progress of knowledge improvements in developing countries as an outcome of the management of human, social and organisational capital. In this regard, the paper considers relevant practices and strategies in the context of developing...

  20. Product Knowledge Modelling and Management

    DEFF Research Database (Denmark)

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

    1996-01-01

    The term, Product Knowledge is used to refer to two related but distinct concepts; the knowledge of a specific product (Specific Product Knowledge) and the knowledge of a product domain (Product Domain Knowledge). Modelling and managing Product Knowlege is an essential part of carrying out design...... function-oriented design. Both Specific Product Knowledge and Product Domain Knowledge are modelled at two levels, a meta-model and an information-level.Following that, a computer-based scheme to manage the proposed product lknowledge models within a dynamically changing environment is presented....

  1. Product Knowledge Modelling and Management

    DEFF Research Database (Denmark)

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

    1996-01-01

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

  2. Human Resource Development in the Knowledge Economy

    DEFF Research Database (Denmark)

    Jørgensen, Sanne Lehmann

    This paper addresses the crucial call for upgrading to more value-added production in developing country firms in the light of increased global competition and suggests that such upgrading demands a shift in focus from investment in technology to investment in people, knowledge and learning....... In this line of thinking, the aim is to propose a model for analysing the progress of knowledge improvements in developing countries as an outcome of the management of human, social and organisational capital. In this regard, the paper considers relevant practices and strategies in the context of developing...

  3. An integrative lens model approach to bias and accuracy in human inferences: hindsight effects and knowledge updating in personality judgments.

    Science.gov (United States)

    Nestler, Steffen; Egloff, Boris; Küfner, Albrecht C P; Back, Mitja D

    2012-10-01

    The present article integrates research on the accurate inference of personality traits with process models of hindsight bias (the tendency to exaggerate in hindsight what one had said in foresight). Specifically, the article suggests a new model that integrates assumptions of the lens model on accurate personality judgments and accounts that view hindsight effects as a by-product of knowledge updating. We suggest 3 processes that have the potential to explain the occurrence of hindsight effects in personality judgments: (a) changes in an individual's cue perceptions, (b) changes in the utilization of more valid cues, and (c) changes in the consistency with which cue knowledge is applied. In 2 studies (N1 = 91, N2 = 93), participants were presented with target pictures and were asked to judge each target's levels of the Big Five. Thereafter, they received feedback and had to recall their original judgments. Results show that there were clear hindsight effects for all 5 personality dimensions. Importantly, we found evidence that both the utilization of more valid cues and changes in cue perceptions--but not changes in the consistency with which cue knowledge is applied--account for the hindsight effects. Implications of these results for models explaining hindsight effects, the inference of personality judgments, and the accuracy of these inferences are discussed.

  4. A Knowledge Tree Model for Managing Organizational Knowledge

    Institute of Scientific and Technical Information of China (English)

    BAO Zhen-qiang; WANG Ning-sheng

    2002-01-01

    According to the relation of organizational knowledge, this paper analyzes the structure of organizational knowledge at first. A concept of knowledge tree is introduced and a process model of knowledge management is described by a knowledge tree. In this paper a definition of value of knowledge is given and the life cycle of a knowledge tree is analyzed. Finally, some principles for knowledge management are presented.

  5. Models: repositories of knowledge

    National Research Council Canada - National Science Library

    Oswald, Sascha E; Kolditz, Olaf; Attinger, Sabine

    2012-01-01

    ... that. More than ever, models are means to integrate information from different and manifold sources, allowing a better conceptual view of systems as a whole and improving understanding of them, i.e...

  6. Metacognitive Model of Tacit Knowledge Transfer in Human Library%真人图书馆隐性知识转移的元认知模式

    Institute of Scientific and Technical Information of China (English)

    王培林

    2016-01-01

    To find a solution for“how to transfer tacit knowledge in human library”,this article combines Flavell’ s metacognitive theory with Dr. Dong’s metacognitive ideas to explore the metacognitive model of tacit knowledge transfer in human library and its operating mechanism based on the analysis of metacognitive dimensions of tacit knowledge. The results show that it need to establish a “3+1” metacognition mechanism for tacit knowledge transfer in human library in order to achieve the transfer successfully.%文章针对真人图书馆中隐性知识如何转移,引入Flavell的元认知理论及董奇的元认知观点,在分析隐性知识元认知维度的基础上,探索真人图书馆隐性知识转移的元认知模式,据此提出推动真人图书馆隐性知识转移的运行机制。研究结果显示,要成功实现真人图书馆隐性知识转移,需要建立“3+1”真人图书馆隐性知识转移元认知机制。

  7. A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2

    Directory of Open Access Journals (Sweden)

    Shin Sook-Il

    2011-01-01

    Full Text Available Abstract Background Metabolic reconstructions (MRs are common denominators in systems biology and represent biochemical, genetic, and genomic (BiGG knowledge-bases for target organisms by capturing currently available information in a consistent, structured manner. Salmonella enterica subspecies I serovar Typhimurium is a human pathogen, causes various diseases and its increasing antibiotic resistance poses a public health problem. Results Here, we describe a community-driven effort, in which more than 20 experts in S. Typhimurium biology and systems biology collaborated to reconcile and expand the S. Typhimurium BiGG knowledge-base. The consensus MR was obtained starting from two independently developed MRs for S. Typhimurium. Key results of this reconstruction jamboree include i development and implementation of a community-based workflow for MR annotation and reconciliation; ii incorporation of thermodynamic information; and iii use of the consensus MR to identify potential multi-target drug therapy approaches. Conclusion Taken together, with the growing number of parallel MRs a structured, community-driven approach will be necessary to maximize quality while increasing adoption of MRs in experimental design and interpretation.

  8. SCIENCE AND HUMAN KNOWLEDGE AS MODEL CONSTRUCTION A CIÊNCIA E O CONHECIMENTO HUMANO COMO CONSTRUÇÃO DE MODELOS

    Directory of Open Access Journals (Sweden)

    Luiz Henrique de Araújo Dutra

    2008-09-01

    Full Text Available In this paper, I try to argue that both science, as a specific kind of knowledge, and human knowledge in general are activities of constructing models. In the first part, I present my conception according to which scientific models are abstract entities, and that scientific theories may be interpreted as classes of models as abstract replicas of real settings, in which certain laws apply. In the second part, I try to extend that same conception to ordinary human knowledge, particularly to the case of the cognitive activity of classifying objects of experience.Neste artigo, vamos procurar argumentar que tanto a ciência, enquanto um tipo específico de conhecimento, quanto o conhecimento humano em geral são atividades de construção de modelos. Na primeira parte, apresentamos nossa concepção segundo a qual os modelos científicos são entidades abstratas, e as teorias científicas podem ser interpretadas como classes de modelos enquanto réplicas abstratas de situações reais, nas quais valem determinadas leis. Na segunda parte, procuramos estender essa mesma concepção ao conhecimento humano ordinário, em particular, ao caso da atividade cognitiva de classificar os objetos da experiência.

  9. HOLISTIC MODEL OF KNOWLEDGE WORKER AND MARKET KNOWLEDGE VENTURES

    Directory of Open Access Journals (Sweden)

    Telemtaev Marat Makhmetovich

    2013-04-01

    Full Text Available The main purpose of this work is the creation of model of knowledge of the worker of the enterprise and the concept of the market of knowledge of the enterprise and the market of knowledge of a society of knowledge. To purpose achievement it is applied complete-approach of Telemtaev M.M. The contradiction between the market in environment of the enterprise and absence of the market in the internal environment of the enterprise is shown. The role of capitalization of knowledge is shown. A number of new results is received. The general model of knowledge of the worker of the enterprise, and three private models of knowledge of the worker entering into it are developed. The Principle of complete-thinking and practice of the worker and the Principle of the organic replenishments of knowledge of the worker are formulated. It is established that a kernel of complete model of knowledge of the worker is set «ability and skill». The concept of technology of the market of knowledge of the enterprise is developed. As a methodological basis of technology of the market of knowledge the Law of industrialization of knowledge, the Law of mechanization of knowledge, the Law technologization knowledge, the Principle of enrichment of knowledge are formulated. Conditions of interaction of the worker and knowledge - PMK-literacy of the worker and FPI-availability of knowledge are established. The received results are sufficient for construction of base models of knowledge of workers and the concept of the market of knowledge of the concrete enterprise that allows the enterprise to create strategy of effective application of knowledge of workers and to develop advancing strategy of occurrence in the market of a society of knowledge.

  10. HEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy Availability Status of an Individual.

    Science.gov (United States)

    Sengupta, Abhishek; Grover, Monendra; Chakraborty, Amlan; Saxena, Sarika

    2015-01-01

    HEPNet is an electronic representation of metabolic reactions occurring within human cellular organization focusing on inflow and outflow of the energy currency ATP, GTP and other energy associated moieties. The backbone of HEPNet consists of primary bio-molecules such as carbohydrates, proteins and fats which ultimately constitute the chief source for the synthesis and obliteration of energy currencies in a cell. A series of biochemical pathways and reactions constituting the catabolism and anabolism of various metabolites are portrayed through cellular compartmentalization. The depicted pathways function synchronously toward an overarching goal of producing ATP and other energy associated moieties to bring into play a variety of cellular functions. HEPNet is manually curated with raw data from experiments and is also connected to KEGG and Reactome databases. This model has been validated by simulating it with physiological states like fasting, starvation, exercise and disease conditions like glycaemia, uremia and dihydrolipoamide dehydrogenase deficiency (DLDD). The results clearly indicate that ATP is the master regulator under different metabolic conditions and physiological states. The results also highlight that energy currencies play a minor role. However, the moiety creatine phosphate has a unique character, since it is a ready-made source of phosphoryl groups for the rapid synthesis of ATP from ADP. HEPNet provides a framework for further expanding the network diverse age groups of both the sexes, followed by the understanding of energetics in more complex metabolic pathways that are related to human disorders.

  11. HEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy Availability Status of an Individual.

    Directory of Open Access Journals (Sweden)

    Abhishek Sengupta

    Full Text Available HEPNet is an electronic representation of metabolic reactions occurring within human cellular organization focusing on inflow and outflow of the energy currency ATP, GTP and other energy associated moieties. The backbone of HEPNet consists of primary bio-molecules such as carbohydrates, proteins and fats which ultimately constitute the chief source for the synthesis and obliteration of energy currencies in a cell. A series of biochemical pathways and reactions constituting the catabolism and anabolism of various metabolites are portrayed through cellular compartmentalization. The depicted pathways function synchronously toward an overarching goal of producing ATP and other energy associated moieties to bring into play a variety of cellular functions. HEPNet is manually curated with raw data from experiments and is also connected to KEGG and Reactome databases. This model has been validated by simulating it with physiological states like fasting, starvation, exercise and disease conditions like glycaemia, uremia and dihydrolipoamide dehydrogenase deficiency (DLDD. The results clearly indicate that ATP is the master regulator under different metabolic conditions and physiological states. The results also highlight that energy currencies play a minor role. However, the moiety creatine phosphate has a unique character, since it is a ready-made source of phosphoryl groups for the rapid synthesis of ATP from ADP. HEPNet provides a framework for further expanding the network diverse age groups of both the sexes, followed by the understanding of energetics in more complex metabolic pathways that are related to human disorders.

  12. Pharmaceutical knowledge governance: a human rights perspective.

    Science.gov (United States)

    Lemmens, Trudo

    2013-01-01

    Industry control over the production and distribution of pharmaceutical safety and efficacy data has become a serious public health and health care funding concern. Various recent scandals, several involving the use of flawed representations of scientific data in the most influential medical journals, highlight the urgency of enhancing pharmaceutical knowledge governance. This paper analyzes why this is a human rights concern and what difference a human rights analysis can make. The paper first identifies the challenges associated with the current knowledge deficit. It then discusses, based on an analysis of case law, how various human rights associated interests can be invoked to support the claim that states have an obligation to actively contribute to independent knowledge governance, for example through ensuring clinical trials transparency. The paper further discusses a conceptual use of human rights, as a methodology which requires a comprehensive analysis of the different interwoven historical, economic, cultural, and social factors that contribute to the problem. Such an analysis reveals that historically grown drug regulations have, in fact, contributed directly to industry control over pharmaceutical knowledge production. This type of finding should inform needed reforms of drug regulation. The paper ends with a recommendation for a comprehensive global response to the problem of pharmaceutical knowledge governance. © 2013 American Society of Law, Medicine & Ethics, Inc.

  13. Knowledge Growth: Applied Models of General and Individual Knowledge Evolution

    Science.gov (United States)

    Silkina, Galina Iu.; Bakanova, Svetlana A.

    2016-01-01

    The article considers the mathematical models of the growth and accumulation of scientific and applied knowledge since it is seen as the main potential and key competence of modern companies. The problem is examined on two levels--the growth and evolution of objective knowledge and knowledge evolution of a particular individual. Both processes are…

  14. SYSTEMS METHODOLOGY AND MATHEMATICAL MODELS FOR KNOWLEDGE MANAGEMENT

    Institute of Scientific and Technical Information of China (English)

    Yoshiteru NAKAMORI

    2003-01-01

    This paper first introduces a new discipline knowledge science and the role of systems science inits development. Then, after the discussion on current trend in systems science, the paper proposes anew systems methodology for knowledge management and creation. Finally, the paper discussesmathematical modeling techniques to represent and manage human knowledge that is essentiallyvague and context-dependent.

  15. Knowledge environments representing molecular entities for the virtual physiological human.

    Science.gov (United States)

    Hofmann-Apitius, Martin; Fluck, Juliane; Furlong, Laura; Fornes, Oriol; Kolárik, Corinna; Hanser, Susanne; Boeker, Martin; Schulz, Stefan; Sanz, Ferran; Klinger, Roman; Mevissen, Theo; Gattermayer, Tobias; Oliva, Baldo; Friedrich, Christoph M

    2008-09-13

    In essence, the virtual physiological human (VPH) is a multiscale representation of human physiology spanning from the molecular level via cellular processes and multicellular organization of tissues to complex organ function. The different scales of the VPH deal with different entities, relationships and processes, and in consequence the models used to describe and simulate biological functions vary significantly. Here, we describe methods and strategies to generate knowledge environments representing molecular entities that can be used for modelling the molecular scale of the VPH. Our strategy to generate knowledge environments representing molecular entities is based on the combination of information extraction from scientific text and the integration of information from biomolecular databases. We introduce @neuLink, a first prototype of an automatically generated, disease-specific knowledge environment combining biomolecular, chemical, genetic and medical information. Finally, we provide a perspective for the future implementation and use of knowledge environments representing molecular entities for the VPH.

  16. Human bocavirus: Current knowledge and future challenges

    Science.gov (United States)

    Guido, Marcello; Tumolo, Maria Rosaria; Verri, Tiziano; Romano, Alessandro; Serio, Francesca; De Giorgi, Mattia; De Donno, Antonella; Bagordo, Francesco; Zizza, Antonella

    2016-01-01

    Human bocavirus (HBoV) is a parvovirus isolated about a decade ago and found worldwide in both respiratory samples, mainly from early life and children of 6-24 mo of age with acute respiratory infection, and in stool samples, from patients with gastroenteritis. Since then, other viruses related to the first HBoV isolate (HBoV1), namely HBoV2, HBoV3 and HBoV4, have been detected principally in human faeces. HBoVs are small non-enveloped single-stranded DNA viruses of about 5300 nucleotides, consisting of three open reading frames encoding the first two the non-structural protein 1 (NS1) and nuclear phosphoprotein (NP1) and the third the viral capsid proteins 1 and 2 (VP1 and VP2). HBoV pathogenicity remains to be fully clarified mainly due to the lack of animal models for the difficulties in replicating the virus in in vitro cell cultures, and the fact that HBoV infection is frequently accompanied by at least another viral and/or bacterial respiratory and/or gastroenteric pathogen infection. Current diagnostic methods to support HBoV detection include polymerase chain reaction, real-time PCR, enzyme-linked immunosorbent assay and enzyme immunoassay using recombinant VP2 or virus-like particle capsid proteins, although sequence-independent amplification techniques combined with next-generation sequencing platforms promise rapid and simultaneous detection of the pathogens in the future. This review presents the current knowledge on HBoV genotypes with emphasis on taxonomy, phylogenetic relationship and genomic analysis, biology, epidemiology, pathogenesis and diagnostic methods. The emerging discussion on HBoVs as true pathogen or innocent bystander is also emphasized.

  17. CRESST Human Performance Knowledge Mapping System

    Science.gov (United States)

    2002-12-01

    team processes and team outcomes. Computers in Human Behavior , 15, 463-494. 0 Herl, H. E. (1995). Construct validation of an approach to modeling...system to measure content understanding. Computers in Human Behavior , 15, 315-334. Johnson, R.F. (2001). Statistical measures of marksmanship (ARI...problem-solving. Computers in Human Behavior , 15, 403-418. West, C. D., Pomeroy, J. R., Park, J. K., Gerstenberger, E. A., & Sandoval, J. (2000

  18. Robustness of a Distributed Knowledge Management Model

    DEFF Research Database (Denmark)

    Pedersen, Mogens Kühn; Larsen, Michael Holm

    1999-01-01

    specific for each actor in the network in recognition of actor role differences. The article analyses the conditions for the model to generate symmetric incentives between different actor roles. The model is proposed for business networks like supply chains and networks like replacement, maintenance......Knowledge management based on symmetric incentives is rarely found in literature. A knowledge exchange model relies upon a double loop knowledge conversion with symmetric incentives in a network. The model merges specific knowledge with knowledge from other actors into a decision support system...... and services industries....

  19. Robustness of a Distributed Knowledge Management Model

    DEFF Research Database (Denmark)

    Pedersen, Mogens Kühn; Larsen, Michael Holm

    1999-01-01

    Knowledge management based on symmetric incentives is rarely found in literature. A knowledge exchange model relies upon a double loop knowledge conversion with symmetric incentives in a network. The model merges specific knowledge with knowledge from other actors into a decision support system...... specific for each actor in the network in recognition of actor role differences. The article analyses the conditions for the model to generate symmetric incentives between different actor roles. The model is proposed for business networks like supply chains and networks like replacement, maintenance...

  20. EVOLUTION OF KNOWLEDGE DEVELOPMENT IN HUMAN RESUSCITATION

    Directory of Open Access Journals (Sweden)

    O. Zabolotina

    2010-01-01

    Full Text Available Study of human resuscitation development history is the first step in understanding modern approaches to cardiopulmonary resuscitation. A significant increase in survival parameters is driven by accumulation of knowledge, expertise, improvement in resuscitation technologies. Development of cardiopulmonary resuscitation structure, development of recommendations approved for study and practical use, addressing these issues at the state level are accompanied with a significant reduction in mortality both at the hospital and pre-hospital levels. Key words: children, cardiopulmonary resuscitation, development stages, training of pediatricians. (Pediatric Pharmacology. – 2010; 7(3:25-27

  1. Robustness of a Distributed Knowledge Management Model

    DEFF Research Database (Denmark)

    Pedersen, Mogens Kuhn; Holm Larsen, Michael

    2003-01-01

    ) and contractbasedknowledge exchange do not obtain networkeffectiveness because of prohibitive transaction costs inreducing uncertainty, we suggest a robust model for peerproduced knowledge within a distributed setting. Thepeer produced knowledge exchange model relies upon adouble loop knowledge conversion...... with symmetricincentives in a network since the production of actorspecific knowledge makes any knowledge appropriationby use of property rights by the actors irrelevant. Withoutproperty rights in knowledge the actor network generatesopportunity for incentive symmetry over a period of time.The model merges specific...... knowledge with knowledgefrom other actors into a decision support system specificfor each actor in the network in recognition of actor roledifferences. The article suggests a set of 9 static and 5dynamic propositions for the model to maintainsymmetric incentives between different actor networks.The model...

  2. Modular knowledge systems accelerate human migration in asymmetric random environments.

    Science.gov (United States)

    Wang, Dong; Deem, Michael W

    2016-12-01

    Migration is a key mechanism for expansion of communities. In spatially heterogeneous environments, rapidly gaining knowledge about the local environment is key to the evolutionary success of a migrating population. For historical human migration, environmental heterogeneity was naturally asymmetric in the north-south (NS) and east-west (EW) directions. We here consider the human migration process in the Americas, modelled as random, asymmetric, modularly correlated environments. Knowledge about the environments determines the fitness of each individual. We present a phase diagram for asymmetry of migration as a function of carrying capacity and fitness threshold. We find that the speed of migration is proportional to the inverse complement of the spatial environmental gradient, and in particular, we find that NS migration rates are lower than EW migration rates when the environmental gradient is higher in the NS direction. Communication of knowledge between individuals can help to spread beneficial knowledge within the population. The speed of migration increases when communication transmits pieces of knowledge that contribute in a modular way to the fitness of individuals. The results for the dependence of migration rate on asymmetry and modularity are consistent with existing archaeological observations. The results for asymmetry of genetic divergence are consistent with patterns of human gene flow. © 2016 The Author(s).

  3. Model Knowledge Management Di Perguruan Tinggi

    Directory of Open Access Journals (Sweden)

    Dyah Budiastuti

    2012-05-01

    Full Text Available Business conditions change quickly, pushing companies to change the way they compete. The Era of knowledge-based economy provides challenges for collaboration, innovation, adaptation, technological mastery and market, as well as intellectual assets management company. Relying on existing core competencies does not guarantee the company able to create competitive advantages. To face the challenges of existing companies must be able to manage the knowledge that having through the application of Knowledge Management (KM.Similarly with colleges based on human capital, the need to manage organizations that encourage the formation of cultural knowledge creation, knowledge sharing, and knowledge utilization through the application of Knowledge Management. With Knowledge Management, recognition quality of a lecturer is not based only on seniority but on the extent to which lecturers are acts as a general user, specialist, solution communities, as well as professional.

  4. Chemistry Teachers' Knowledge and Application of Models

    Science.gov (United States)

    Wang, Zuhao; Chi, Shaohui; Hu, Kaiyan; Chen, Wenting

    2014-01-01

    Teachers' knowledge and application of model play an important role in students' development of modeling ability and scientific literacy. In this study, we investigated Chinese chemistry teachers' knowledge and application of models. Data were collected through test questionnaire and analyzed quantitatively and qualitatively. The result indicated…

  5. Chemistry Teachers' Knowledge and Application of Models

    Science.gov (United States)

    Wang, Zuhao; Chi, Shaohui; Hu, Kaiyan; Chen, Wenting

    2014-01-01

    Teachers' knowledge and application of model play an important role in students' development of modeling ability and scientific literacy. In this study, we investigated Chinese chemistry teachers' knowledge and application of models. Data were collected through test questionnaire and analyzed quantitatively and qualitatively. The result indicated…

  6. Disciplinary knowledge production and interdisciplinary humanities

    DEFF Research Database (Denmark)

    Pedersen, David Budtz; Stjernfelt, Frederik; Emmeche, Claus

    2016-01-01

    to include the social sciences and humanities research in interdisciplinary collaboration. In European research and innovation initiatives, science, technology and innovation can no longer be seen in isolation from wider cultural, societal and ethical aspects. For instance, the shift to a green sustainable...... economy needs to include combined efforts in developing new technologies and at the same time creating new models of democracy, engagement, and sustainable behaviour, which draw on a range of interdisciplinary competences. Special challenges such as the role reserved for humanities and how to integrate...

  7. A knowledge generation model via the hypernetwork.

    Science.gov (United States)

    Liu, Jian-Guo; Yang, Guang-Yong; Hu, Zhao-Long

    2014-01-01

    The influence of the statistical properties of the network on the knowledge diffusion has been extensively studied. However, the structure evolution and the knowledge generation processes are always integrated simultaneously. By introducing the Cobb-Douglas production function and treating the knowledge growth as a cooperative production of knowledge, in this paper, we present two knowledge-generation dynamic evolving models based on different evolving mechanisms. The first model, named "HDPH model," adopts the hyperedge growth and the hyperdegree preferential attachment mechanisms. The second model, named "KSPH model," adopts the hyperedge growth and the knowledge stock preferential attachment mechanisms. We investigate the effect of the parameters (α,β) on the total knowledge stock of the two models. The hyperdegree distribution of the HDPH model can be theoretically analyzed by the mean-field theory. The analytic result indicates that the hyperdegree distribution of the HDPH model obeys the power-law distribution and the exponent is γ = 2 + 1/m. Furthermore, we present the distributions of the knowledge stock for different parameters (α,β). The findings indicate that our proposed models could be helpful for deeply understanding the scientific research cooperation.

  8. A knowledge generation model via the hypernetwork.

    Directory of Open Access Journals (Sweden)

    Jian-Guo Liu

    Full Text Available The influence of the statistical properties of the network on the knowledge diffusion has been extensively studied. However, the structure evolution and the knowledge generation processes are always integrated simultaneously. By introducing the Cobb-Douglas production function and treating the knowledge growth as a cooperative production of knowledge, in this paper, we present two knowledge-generation dynamic evolving models based on different evolving mechanisms. The first model, named "HDPH model," adopts the hyperedge growth and the hyperdegree preferential attachment mechanisms. The second model, named "KSPH model," adopts the hyperedge growth and the knowledge stock preferential attachment mechanisms. We investigate the effect of the parameters (α,β on the total knowledge stock of the two models. The hyperdegree distribution of the HDPH model can be theoretically analyzed by the mean-field theory. The analytic result indicates that the hyperdegree distribution of the HDPH model obeys the power-law distribution and the exponent is γ = 2 + 1/m. Furthermore, we present the distributions of the knowledge stock for different parameters (α,β. The findings indicate that our proposed models could be helpful for deeply understanding the scientific research cooperation.

  9. Knowledge of human immunodeficiency virus post-exposure ...

    African Journals Online (AJOL)

    Knowledge of human immunodeficiency virus post-exposure prophylaxis among doctors in a Nigerian tertiary hospital. ... of PEP policy in the hospital. The level of knowledge concerning the high-risk fluid and three drugs used in PEP is high.

  10. Liberal Education Reconsidered: Cultivating Humanity in the Knowledge Society

    Science.gov (United States)

    Hong, Eunsook

    2014-01-01

    In the knowledge society, there is a conflict between "education for profit" and "education for humanity." Education for profit is needed for students' economic survival and success in the knowledge economy. Education for humanity is needed for their existential lives worthy of human beings. This paper deals with the…

  11. Liberal Education Reconsidered: Cultivating Humanity in the Knowledge Society

    Science.gov (United States)

    Hong, Eunsook

    2014-01-01

    In the knowledge society, there is a conflict between "education for profit" and "education for humanity." Education for profit is needed for students' economic survival and success in the knowledge economy. Education for humanity is needed for their existential lives worthy of human beings. This paper deals with the…

  12. KNOWLEDGE MANAGEMENT SYSTEM DESIGN AT HUMAN RESOURCES DIVISION

    Directory of Open Access Journals (Sweden)

    Yanti Yanti

    2009-05-01

    Full Text Available The Human Resources Division of a company is a vital division. Most of the time, they perform their work manually, and therefore creating limitations to their capacity. The knowledge contained is very important for human resources development and subsequently for developing the company. In order to manage this knowledge well, the company shall require a knowledge management system. This knowledge management system would be a solution to be used for the company to manage all knowledge contained in that particular division. Phases in designing knowledge managements starts from analyzing knowledge sources of the company, knowledge identification and definition, and determining knowledge goals. Knowledge management systems contain many functions such as collecting, recording and managing the knowledge and sharing this to all related employees easily. The company may also use knowledge management systems to share and inform employees regarding updates of information, news and/or activity regarding the employees themselves. Information from knowledge management systems may also be used by employees to monitor their performance and thereby increasing it. Knowledge management systems may also help employees in their learning activities.Keywords: knowledge management, human resources, employee

  13. Knowledge Map: Mathematical Model and Dynamic Behaviors

    Institute of Scientific and Technical Information of China (English)

    Hai Zhuge; Xiang-Feng Luo

    2005-01-01

    Knowledge representation and reasoning is a key issue of the Knowledge Grid. This paper proposes a Knowledge Map (KM) model for representing and reasoning causal knowledge as an overlay in the Knowledge Grid. It extends Fuzzy Cognitive Maps (FCMs) to represent and reason not only simple cause-effect relations, but also time-delay causal relations, conditional probabilistic causal relations and sequential relations. The mathematical model and dynamic behaviors of KM are presented. Experiments show that, under certain conditions, the dynamic behaviors of KM can translate between different states. Knowing this condition, experts can control or modify the constructed KM while its dynamic behaviors do not accord with their expectation. Simulations and applications show that KM is more powerful and natural than FCM in emulating real world.

  14. A knowledge management model for graduate development

    Directory of Open Access Journals (Sweden)

    Eduardo Bustos Farías

    2016-01-01

    Full Text Available The aim of this paper is to present a model for administrative knowledge management for the Graduate Support Division of the Instituto Politécnico Nacional (IPN. This administrative unit is important because it is responsible for managing the institution’s academic services at graduate level. A qualitative methodology was used based on in-depth interviews with graduate-level directors, experts in knowledge management and members of the institution. The results obtained support the use of administrative management tools based on Information Technology (IT, such as the design of a comprehensive dashboard, and the proposal that knowledge management processes be automated with digital repositories. The model identifies factors such as the relationships between people, technology, administrative knowledge and knowledge management processes, and is formed with innovative administrative contributions.

  15. Model-based explanation of plant knowledge

    Energy Technology Data Exchange (ETDEWEB)

    Huuskonen, P.J. [VTT Electronics, Oulu (Finland). Embedded Software

    1997-12-31

    This thesis deals with computer explanation of knowledge related to design and operation of industrial plants. The needs for explanation are motivated through case studies and literature reviews. A general framework for analysing plant explanations is presented. Prototypes demonstrate key mechanisms for implementing parts of the framework. Power plants, steel mills, paper factories, and high energy physics control systems are studied to set requirements for explanation. The main problems are seen to be either lack or abundance of information. Design knowledge in particular is found missing at plants. Support systems and automation should be enhanced with ways to explain plant knowledge to the plant staff. A framework is formulated for analysing explanations of plant knowledge. It consists of three parts: 1. a typology of explanation, organised by the class of knowledge (factual, functional, or strategic) and by the target of explanation (processes, automation, or support systems), 2. an identification of explanation tasks generic for the plant domain, and 3. an identification of essential model types for explanation (structural, behavioural, functional, and teleological). The tasks use the models to create the explanations of the given classes. Key mechanisms are discussed to implement the generic explanation tasks. Knowledge representations based on objects and their relations form a vocabulary to model and present plant knowledge. A particular class of models, means-end models, are used to explain plant knowledge. Explanations are generated through searches in the models. Hypertext is adopted to communicate explanations over dialogue based on context. The results are demonstrated in prototypes. The VICE prototype explains the reasoning of an expert system for diagnosis of rotating machines at power plants. The Justifier prototype explains design knowledge obtained from an object-oriented plant design tool. Enhanced access mechanisms into on-line documentation are

  16. Scalability of human models

    NARCIS (Netherlands)

    Rodarius, C.; Rooij, L. van; Lange, R. de

    2007-01-01

    The objective of this work was to create a scalable human occupant model that allows adaptation of human models with respect to size, weight and several mechanical parameters. Therefore, for the first time two scalable facet human models were developed in MADYMO. First, a scalable human male was

  17. Paradigms of knowledge management with systems modelling case studies

    CERN Document Server

    Pandey, Krishna Nath

    2016-01-01

    This book has been written by studying the knowledge management implementation at POWERGRID India, one of the largest power distribution companies in the world. The patterns which have led to models, both hypothesized and data-enabled, have been provided. The book suggests ways and means to follow for knowledge management implementation, especially for organizations with multiple business verticals to follow. The book underlines that knowledge is both an entity and organizational asset which can be managed. A holistic view of knowledge management implementation has been provided. It also emphasizes the phenomenological importance of human resource parameters as compared to that of technological parameters. Various hypotheses have been tested to validate the significant models hypothesized. This work will prove useful to corporations, researchers, and independent professionals working to study or implement knowledge management paradigms.

  18. HUMAN CAPITAL MANAGEMENT IN A KNOWLEDGE ECONOMY ...

    African Journals Online (AJOL)

    approach in Scientific Research Centers within knowledge based economy. ... assets, and external structure such as brands, reputation and relationships .... dates back to Mincer's article in 1958. Then Schultz ..... BIBLIOGRAPHY. Afiouni F ...

  19. Human Resources Management Value in Knowledge-Based Society

    OpenAIRE

    Lobanova, Liudmila

    2009-01-01

    While building knowledge-based society and economy, particular importance in human resources management falls on the value of human resources and management expertise. The article analyses the features of human resources management competences in terms of completing human resources management functions in practice with a view to advantages of human resources management approaches compared with traditional approaches to human resources management. Upon research on personnel management function...

  20. Origins and early development of human body knowledge.

    Science.gov (United States)

    Slaughter, Virginia; Heron, Michelle

    2004-01-01

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

  1. The challenges for human factors in knowledge work

    DEFF Research Database (Denmark)

    Ipsen, Christine; Møller, Niels; Jensen, Per Langaa

    2011-01-01

    The development towards a service and knowledge intensive economy arise new challenges for ergonomics and human factors. Knowledge on work within mass service production exists, but the challenges within knowledge work have still to be addressed. The focus of this paper is on some of the challeng...... with the demands of the knowledge intensive work when KPI’s are central management tools. Especially handling the balance between high motivation and enthusiasm and burn out will be addressed....

  2. A light knowledge model for linguistic applications.

    Science.gov (United States)

    Baud, R H; Lovis, C; Ruch, P; Rassinoux, A M

    2001-01-01

    Content extraction from medical texts is achievable today by linguistic applications, in so far as sufficient domain knowledge is available. Such knowledge represents a model of the domain and is hard to collect with sufficient depth and good coverage, despite numerous attempts. To leverage this task is a priority in order to benefit from the awaited linguistic tools. The light model is designed with this goal in mind. Syntactic and lexical information are generally available with large lexicons. A domain model should add the necessary semantic information. The authors have designed a light knowledge model for the collection of semantic information on the basis of the recognized syntactical and lexical attributes. It has been tailored for the acquisition of enough semantic information in order to retrieve terms of a controlled vocabulary from free texts, as for example, to retrieve Mesh terms from patient records.

  3. 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

  4. Rough – Granular Computing knowledge discovery models

    Directory of Open Access Journals (Sweden)

    Mohammed M. Eissa

    2016-11-01

    Full Text Available Medical domain has become one of the most important areas of research in order to richness huge amounts of medical information about the symptoms of diseases and how to distinguish between them to diagnose it correctly. Knowledge discovery models play vital role in refinement and mining of medical indicators to help medical experts to settle treatment decisions. This paper introduces four hybrid Rough – Granular Computing knowledge discovery models based on Rough Sets Theory, Artificial Neural Networks, Genetic Algorithm and Rough Mereology Theory. A comparative analysis of various knowledge discovery models that use different knowledge discovery techniques for data pre-processing, reduction, and data mining supports medical experts to extract the main medical indicators, to reduce the misdiagnosis rates and to improve decision-making for medical diagnosis and treatment. The proposed models utilized two medical datasets: Coronary Heart Disease dataset and Hepatitis C Virus dataset. The main purpose of this paper was to explore and evaluate the proposed models based on Granular Computing methodology for knowledge extraction according to different evaluation criteria for classification of medical datasets. Another purpose is to make enhancement in the frame of KDD processes for supervised learning using Granular Computing methodology.

  5. A multivalued knowledge-base model

    CERN Document Server

    Achs, Agnes

    2010-01-01

    The basic aim of our study is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of fuzzy Datalog will be summarized, then its extensions for intuitionistic- and interval-valued fuzzy logic is given and the concept of bipolar fuzzy Datalog is introduced. Based on these ideas the concept of multivalued knowledge-base will be defined as a quadruple of any background knowledge; a deduction mechanism; a connecting algorithm, and a function set of the program, which help us to determine the uncertainty levels of the results. At last a possible evaluation strategy is given.

  6. Evolutionary model with intelligence and knowledge

    Science.gov (United States)

    Pan, Q. H.; Yu, B. L.; He, M. F.

    2005-12-01

    An evolutionary model based on Bit-String with intelligence and learning is constructed. Each individual is represented by five bit strings. Four of them relate to genes and the other denotes the knowledge from learning. The four strings relative to genes will be divided into two parts — Bit-String A and Bit-String B. Bit-String A denotes the health of an individual, at the same time Bit-String B can describe intelligence. For an individual, the cross reproduction method is used in this model. After that we explain how knowledge is represented in our model. The probability of learning is affected by intelligence. In order to study how the accumulated knowledge influences the survival process by the effect of food and space restrictions, we modify the Verhulst factor. Then, we present the results of our simulations and discuss the evolution of population, intelligence and knowledge respectively. In addition, an equation to calculate the intelligence quotient is given based on intelligence and knowledge. We discuss the distribution of intelligence quotient.

  7. Knowledge Encapsulation Framework for Collaborative Social Modeling

    Energy Technology Data Exchange (ETDEWEB)

    Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.

    2009-03-24

    This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable knowledge inputs (relevant, domain-specific facts) to modeling and simulation projects, as well as other domains that require effective collaborative workspaces for knowledge-based task. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, which increases user trust in the environment, leading to ease of adoption for the collaborative environment.

  8. Pedagogical Content Knowledge in Mathematical Modelling Instruction

    Science.gov (United States)

    Tan, Liang Soon; Ang, Keng Cheng

    2012-01-01

    This paper posits that teachers' pedagogical content knowledge in mathematical modelling instruction can be demonstrated in the crafting of action plans and expected teaching and learning moves via their lesson images (Schoenfeld, 1998). It can also be developed when teachers shape appropriate teaching moves in response to students' learning…

  9. EVALUATING HUMAN CAPITAL IN A KNOWLEDGE – BASED APPROACH

    Directory of Open Access Journals (Sweden)

    Emanoil MUSCALU

    2014-04-01

    Full Text Available The widespread enthusiasm for a knowledge-based approach to understanding the nature of a business and the possible basis for sustained competitive advantage have renewed interest in human capital evaluation or measurement. While many attempts have been made to develop methods for measuring intellectual capital, none have been widely adopted in the business world. In the knowledge-based organizations, and generally, in the information society, human capital is recognized as the fundamental factor of overall progress, and experts agree that long-term investment in human capital has strong drive-propagation effects at the individual, organizational, national and global level. In this paper, we consider that a knowledge-based approach can offer new possibilities and answers to illustrate the importance of evaluation the human capital and knowledge assets by consistently generating added value in the business world.

  10. Towards an Integrative Model of Knowledge Transfer

    DEFF Research Database (Denmark)

    Turcan, Romeo V.; Heslop, Ben

    This paper aims to contribute towards the advancement of an efficient architecture of a single market for knowledge through the development of an integrative model of knowledge transfer. Within this aim, several points of departure can be singled out. One, the article builds on the call...... business and academia, and implementing the respective legislature are enduring. The research objectives were to explore (i) the process of knowledge transfer in universities, including the nature of tensions, obstacles and incentives, (ii) the relationships between key stakeholders in the KT market...... and (iii) the meaning/reality that is construed as a result of these relationships. To address the above research objectives, grounded theory research was undertaken in four universities in the UK and one in Australia. Coding of the data revealed thirteen constructs, which became the building blocks...

  11. Knowledge Management Model on Educational Organization

    Directory of Open Access Journals (Sweden)

    Elsina Ferdinandus

    2015-12-01

    Key Words: model, knowledge management, educational organizations Abstrak: Penelitian ini bertujuan mendeskripsikan proses knowledge management yang dilakukan pada SMA Negeri 1 Pulau-pulau Aru dan SMA Yos Sudarso Dobo di Kabupaten Kepulauan Aru. Penelitian ini menggunakan jenis penelitian kualitatif dengan rancangan studi multi kasus. Data dikumpulkan dengan teknik observasi, wawancara mendalam dan dokumentasi kemudian dianalisis dengan teknik analisis data kasus individu dan analisis data lintas kasus. Temuan penelitian ini menggambarkan (1 guru-guru sudah melakukan transformasi pengetahuan explicit to tacit dengan baik ketika melakukan persiapan pembelajaran, transformasi pengetahuan tacit to explicit belum dilakukan dengan baik, dan transformasi pengetahuan tacit to tacit sudah dilakukan dengan baik; (2  sosialisasi dilakukan dengan baik, namun belum maksimal; (3  kepala sekolah SMA Negeri 1 Pulau-pulau Aru lebih demokratis dan kepala sekolah SMA Yos Sudarso Dobo lebih paternalistis; (4 peningkatan berupa upaya memasukan pengetahuan dari luar sekolah sudah dilakukan oleh kedua sekolah; dan (5  proses knowledge capture di kedua sekolah sudah berjalan dengan baik. Kata kunci: model, knowledge management, organisasi pendidikan

  12. Biologically Plausible, Human-scale Knowledge Representation

    Science.gov (United States)

    Crawford, Eric; Gingerich, Matthew; Eliasmith, Chris

    2016-01-01

    Several approaches to implementing symbol-like representations in neurally plausible models have been proposed. These approaches include binding through synchrony (Shastri & Ajjanagadde, 1993), "mesh" binding (van der Velde & de Kamps, 2006), and conjunctive binding (Smolensky, 1990). Recent theoretical work has suggested that…

  13. Virtual Business Collaboration Conceptual Knowledge Model (VBCKM

    Directory of Open Access Journals (Sweden)

    Morcous Massoud Yassa

    2012-07-01

    Full Text Available Within the context of virtual business collaboration modeling, many pervious works have been accepted to consider some essential virtual business collaborative models. A practical dynamic virtual organization may be a combination of those models and some other elemental features with some modifications to meet the business opportunity requirements. Therefore, some guidelines and rules are needed to help in constructing a practical collaboration model. This work aims to determine the essential features that must be considered in order to automate the creation of dynamic virtual organization. By integrate “Select-and-Modify” approach with “CommonKADS” methodology, the work of this paper propose a strategy-driven approach for virtual business collaboration modeling construction. Also, some generic knowledge-based components have been designed to support this creation, which can increase the flexibility of the knowledge-based approach facilitates future integration. This paper is considered as integration and extension to the recent work “New Federated Collaborative Networked Organization Model (FCNOM”, which has proposed an integrated framework that combines the existed collaborative-networked organization perspectives, as well as, proposes new.

  14. The challenges for human factors in knowledge work

    DEFF Research Database (Denmark)

    Ipsen, Christine; Møller, Niels; Jensen, Per Langaa

    2011-01-01

    The development towards a service and knowledge intensive economy arise new challenges for ergonomics and human factors. Knowledge on work within mass service production exists, but the challenges within knowledge work have still to be addressed. The focus of this paper is on some of the challeng...... with the demands of the knowledge intensive work when KPI’s are central management tools. Especially handling the balance between high motivation and enthusiasm and burn out will be addressed.......The development towards a service and knowledge intensive economy arise new challenges for ergonomics and human factors. Knowledge on work within mass service production exists, but the challenges within knowledge work have still to be addressed. The focus of this paper is on some of the challenges...... in knowledge intensive work to establish productive and satisfying jobs by a case study of our own place of work: a university department. Testimonials from a young associate professor, a first line manager and the department manager lead us to identify some of the major challenges for ergonomics to comply...

  15. High School Students' Meta-Modeling Knowledge

    Science.gov (United States)

    Fortus, David; Shwartz, Yael; Rosenfeld, Sherman

    2016-12-01

    Modeling is a core scientific practice. This study probed the meta-modeling knowledge (MMK) of high school students who study science but had not had any explicit prior exposure to modeling as part of their formal schooling. Our goals were to (A) evaluate the degree to which MMK is dependent on content knowledge and (B) assess whether the upper levels of the modeling learning progression defined by Schwarz et al. (2009) are attainable by Israeli K-12 students. Nine Israeli high school students studying physics, chemistry, biology, or general science were interviewed individually, once using a context related to the science subject that they were learning and once using an unfamiliar context. All the interviewees displayed MMK superior to that of elementary and middle school students, despite the lack of formal instruction on the practice. Their MMK was independent of content area, but their ability to engage in the practice of modeling was content dependent. This study indicates that, given proper support, the upper levels of the learning progression described by Schwarz et al. (2009) may be attainable by K-12 science students. The value of explicitly focusing on MMK as a learning goal in science education is considered.

  16. Modeling the Individual Within the Group: an Interdisciplinary Approach to Collaborative Knowledge Construction

    OpenAIRE

    Lund, Kristine

    2016-01-01

    Constructing knowledge with others is fundamental for all human activity, and many disciplines have sought to understand how the individual, other people, and the context, all influence collaborative knowledge construction, be it individual or group knowledge. The goal of this Habilitation à Diriger des Recherches is to present an analytical model of the relations of the individual to the group in situations of collaborative knowledge construction. The model is inspired by the work of Levinso...

  17. Leveraging First Response Time into the Knowledge Tracing Model

    Science.gov (United States)

    Wang, Yutao; Heffernan, Neil T.

    2012-01-01

    The field of educational data mining has been using the Knowledge Tracing model, which only look at the correctness of student first response, for tracking student knowledge. Recently, lots of other features are studied to extend the Knowledge Tracing model to better model student knowledge. The goal of this paper is to analyze whether or not the…

  18. Localized Knowledge based System for Human Disease Diagnosis

    Directory of Open Access Journals (Sweden)

    Adane Nega Tarekegn

    2016-03-01

    Full Text Available —Knowledge based system can be designed to solve complex medical problems. It incorporates the expert‟s knowledge that has been coded into facts, rules, heuristics and procedures. Incorporation of local languages with the knowledge based system allows endusers communicate with the system in a simpler and easier way. In this study a localized knowledge based system is developed for TB disease diagnosis using Ethiopian national language. To develop the localized knowledge based system, tacit knowledge is acquired from domain experts using interviewing techniques and explicit knowledge is captured from documented sources using relevant documents analysis method. Then the acquired knowledge is modeled using decision tree structure that represents concepts and procedures involved in diagnosis of disease. Production rules are used to represent domain knowledge. The localized knowledge based system is developed using SWI Prolog version 6.4.1 programming language. Prolog supports natural language processing feature to localize the system. As a result, the system is implemented using Amharic language (the national language of Ethiopia user interface. With Localization, users at remote areas and users who are not good in foreign languages are benefited enormously. The system is tested and evaluated to ensure that whether the performance of the system is accurate and the system is usable by physicians and patients. The average performance of the localized knowledge based system has registered 81.5%.

  19. Knowledge machines digital transformations of the sciences and humanities

    CERN Document Server

    Meyer, Eric T

    2015-01-01

    In Knowledge Machines, Eric Meyer and Ralph Schroeder argue that digital technologies have fundamentally changed research practices in the sciences, social sciences, and humanities. Meyer and Schroeder show that digital tools and data, used collectively and in distributed mode -- which they term e-research -- have transformed not just the consumption of knowledge but also the production of knowledge. Digital technologies for research are reshaping how knowledge advances in disciplines that range from physics to literary analysis. Meyer and Schroeder map the rise of digital research and offer case studies from many fields, including biomedicine, social science uses of the Web, astronomy, and large-scale textual analysis in the humanities. They consider such topics as the challenges of sharing research data and of big data approaches, disciplinary differences and new forms of interdisciplinary collaboration, the shifting boundaries between researchers and their publics, and the ways that digital tools promote o...

  20. Planetary Protection Knowledge Gaps for Human Extraterrestrial Missions: Workshop Report

    Science.gov (United States)

    Race, Margaret S. (Editor); Johnson, James E. (Editor); Spry, James A. (Editor); Siegel, Bette; Conley, Catharine A.

    2015-01-01

    This report on Planetary Protection Knowledge Gaps for Human Extraterrestrial Missions summarizes the presentations, deliberations and findings of a workshop at NASA Ames Research Center, March 24-26, 2015, which was attended by more than 100 participants representing a diverse mix of science, engineering, technology, and policy areas. The main objective of the three-day workshop was to identify specific knowledge gaps that need to be addressed to make incremental progress towards the development of NASA Procedural Requirements (NPRs) for Planetary Protection during human missions to Mars.

  1. Modeling missing data in knowledge space theory.

    Science.gov (United States)

    de Chiusole, Debora; Stefanutti, Luca; Anselmi, Pasquale; Robusto, Egidio

    2015-12-01

    Missing data are a well known issue in statistical inference, because some responses may be missing, even when data are collected carefully. The problem that arises in these cases is how to deal with missing data. In this article, the missingness is analyzed in knowledge space theory, and in particular when the basic local independence model (BLIM) is applied to the data. Two extensions of the BLIM to missing data are proposed: The former, called ignorable missing BLIM (IMBLIM), assumes that missing data are missing completely at random; the latter, called missing BLIM (MissBLIM), introduces specific dependencies of the missing data on the knowledge states, thus assuming that the missing data are missing not at random. The IMBLIM and the MissBLIM modeled the missingness in a satisfactory way, in both a simulation study and an empirical application, depending on the process that generates the missingness: If the missing data-generating process is of type missing completely at random, then either IMBLIM or MissBLIM provide adequate fit to the data. However, if the pattern of missingness is functionally dependent upon unobservable features of the data (e.g., missing answers are more likely to be wrong), then only a correctly specified model of the missingness distribution provides an adequate fit to the data.

  2. Knowledge-based geometric modeling in construction

    DEFF Research Database (Denmark)

    Bonev, Martin; Hvam, Lars

    2012-01-01

    a considerably high amount of their recourses is required for designing and specifying the majority of their product assortment. As design decisions are hereby based on knowledge and experience about behaviour and applicability of construction techniques and materials for a predefined design situation, smart...... tools need to be developed, to support these activities. In order to achieve a higher degree of design automation, this study proposes a framework for using configuration systems within the CAD environment together with suitable geometric modeling techniques on the example of a Danish manufacturer...

  3. World Knowledge in Computational Models of Discourse Comprehension

    Science.gov (United States)

    Frank, Stefan L.; Koppen, Mathieu; Noordman, Leo G. M.; Vonk, Wietske

    2008-01-01

    Because higher level cognitive processes generally involve the use of world knowledge, computational models of these processes require the implementation of a knowledge base. This article identifies and discusses 4 strategies for dealing with world knowledge in computational models: disregarding world knowledge, "ad hoc" selection, extraction from…

  4. Integration PCK: Modeling the Knowledge(s) Underlying a World Language Teacher's Implementation of CBI

    Science.gov (United States)

    Troyan, Francis J.; Cammarata, Laurent; Martel, Jason

    2017-01-01

    This case study enabled researchers to understand the knowledge embedded in a world language teacher's enactment of content-based instruction (CBI) through the lens of a theoretical model inspired by Shulman's (1987) construct of pedagogical content knowledge (PCK). The model, called integration pedagogical content knowledge (I-PCK), represents an…

  5. HUMAN CAPITAL’S IMPACT ON THE PERFORMANCE OF ROMANIAN KNOWLEDGE BASED COMPANIES

    Directory of Open Access Journals (Sweden)

    Burja Camelia

    2012-12-01

    Full Text Available To meet the desiderata expressed by the implementation of knowledge-based economy, companies must reconsider development strategies and must facilitate the shift from a management largely based on resource consumption to knowledge-based management. In this view, the importance of the human factor increases, becoming a precious resource that creates value and competitiveness. This paper shows the interaction between company performance and human capital, exemplifying this aspect through a case study based on a regression model in Romanian software companies. The obtained results show the strong connection between company performance, expressed by net income, and the quality of the human capital, synthesized by labour productivity.

  6. Knowledge Representation Using Multilevel Flow Model in Expert System

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Wenlin; Yang, Ming [Harbin Engineering University, Harbin (China)

    2015-05-15

    As for the knowledge representation, of course, there are a great many methods available for knowledge representation. These include frames, causal models, and many others. This paper presents a novel method called Multilevel Flow Model (MFM), which is used for knowledge representation in G2 expert system. Knowledge representation plays a vital role in constructing knowledge bases. Moreover, it also has impact on building of generic fault model as well as knowledge bases. The MFM is particularly useful to describe system knowledge concisely as domain map in expert system when domain experts are not available.

  7. Increasing Parental Knowledge Related to the Human Papillomavirus (HPV) Vaccine.

    Science.gov (United States)

    Cipriano, Joseph J; Scoloveno, Robert; Kelly, Angela

    2017-08-16

    The purposes of this study were to evaluate parental attitudes toward general vaccination protocols and increase parental knowledge of the human papilloma virus (HPV) vaccine. A nonprobability convenience sample (N = 75) using a pre-/postintervention study design was conducted in a pediatric office in southern New Jersey. The Parental Attitudes Module measured the general disposition toward having children receive any type of vaccine. The HPV Knowledge Survey was a second tool used to specifically measures knowledge of the HPV vaccine. A self-directed computer-based learning was part of the educational intervention. A paired t test showed that HPV Knowledge Survey postintervention scores were significantly higher than HPV Knowledge Survey preintervention scores (t = -10.585, p < .001). The Parental Attitudes Module and the HPV Knowledge Survey pretest showed a positive moderate relationship (rs = .552, p < .001). In the 10 years since the HPV vaccine has been on the market, there is a continued need to increase parental knowledge about the HPV vaccine to close the gap on vaccine nonadherence. A self-directed, computer-based learning tablet appears to be an effective tool to educate parents or legal guardians about the purpose, efficacy, and safety of the HPV vaccine. Copyright © 2017 National Association of Pediatric Nurse Practitioners. Published by Elsevier Inc. All rights reserved.

  8. Computational human body models

    NARCIS (Netherlands)

    Wismans, J.S.H.M.; Happee, R.; Dommelen, J.A.W. van

    2005-01-01

    Computational human body models are widely used for automotive crashsafety research and design and as such have significantly contributed to a reduction of traffic injuries and fatalities. Currently crash simulations are mainly performed using models based on crash-dummies. However crash dummies dif

  9. Computational human body models

    NARCIS (Netherlands)

    Wismans, J.S.H.M.; Happee, R.; Dommelen, J.A.W. van

    2005-01-01

    Computational human body models are widely used for automotive crashsafety research and design and as such have significantly contributed to a reduction of traffic injuries and fatalities. Currently crash simulations are mainly performed using models based on crash-dummies. However crash dummies

  10. A methodology for acquiring qualitative knowledge for probabilistic graphical models

    DEFF Research Database (Denmark)

    Kjærulff, Uffe Bro; Madsen, Anders L.

    2004-01-01

    We present a practical and general methodology that simplifies the task of acquiring and formulating qualitative knowledge for constructing probabilistic graphical models (PGMs). The methodology efficiently captures and communicates expert knowledge, and has significantly eased the model developm......We present a practical and general methodology that simplifies the task of acquiring and formulating qualitative knowledge for constructing probabilistic graphical models (PGMs). The methodology efficiently captures and communicates expert knowledge, and has significantly eased the model...

  11. HUMAN CAPITAL THEORY AND HUMAN RESOURCE MANAGEMENT. IMPLICATIONS IN DEVELEOPMENT OF KNOWLEDGE MANAGEMENT STRATEGIES

    Directory of Open Access Journals (Sweden)

    Simona Buta

    2015-02-01

    Full Text Available In terms of the organization, the human capital theory and human resource management raises a number of issues, namely: human capital issues (they relate to attracting, maintaining, developing and rewarding human resources in order to create and maintain a skilled, dedicated and motivated personnel; issues related to the structural capital (with reference to the size and development of organizational structures that stimulate the processes of creating, capturing and sizing of knowledge; issues of organizational capital( those related to knowledge management. Therefore, organizational context, several questions arise: What knowledge do we have? What knowledge do we need now and in the future? How can we create an environment and a culture that encourages individual and organizational learning? How can we do so that both explicit and tacit knowledge to be captured stored and used judiciously? This paper focuses on human capital theory, but there will also be raised concepts associated to the human resources and knowledge management. Therefore, in this paper we try to identify ways in which human resources (HR specialists can support the KM strategy to drive value within organisation, by revising the practices in order to ensure the knowledge focus.

  12. Human-centered design of a distributed knowledge management system.

    Science.gov (United States)

    Rinkus, Susan; Walji, Muhammad; Johnson-Throop, Kathy A; Malin, Jane T; Turley, James P; Smith, Jack W; Zhang, Jiajie

    2005-02-01

    Many healthcare technology projects fail due to the lack of consideration of human issues, such as workflow, organizational change, and usability, during the design and implementation stages of a project's development process. Even when human issues are considered, the consideration is typically on designing better user interfaces. We argue that human-centered computing goes beyond a better user interface: it should include considerations of users, functions and tasks that are fundamental to human-centered computing. From this perspective, we integrated a previously developed human-centered methodology with a Project Design Lifecycle, and we applied this integration in the design of a complex distributed knowledge management system for the Biomedical Engineer (BME) domain in the Mission Control Center at NASA Johnson Space Center. We analyzed this complex system, identified its problems, generated systems requirements, and provided specifications of a replacement prototype for effective organizational memory and knowledge management. We demonstrated the value provided by our human-centered approach and described the unique properties, structures, and processes discovered using this methodology and how they contributed in the design of the prototype.

  13. Knowledge-reuse-oriented Product Modeling and Knowledge Management in Digital Design

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jinsong

    2006-01-01

    Mostly product design knowledge and experience exists in design handbook or expert's brain. During design process, designer has to refer to many handbooks and design materials, and design solution is hard to be reused. In order to deal with these deficiencies in digital design, this paper focuses on knowledge-reuse-oriented product modeling and knowledge management. Design knowledge is used to guide design process, and it is embedded into product model along with design process. Through analyzing design process, mechanical product knowledge is classified into four basic types that include calculation formula, design rule, engineering check and parameter spectrum etc. In order to manage and encapsulate design knowledge the concept of knowledge component(KCOM) is proposed. Design knowledge base can be organized as a hierarchy tree of KCOM. Knowledge reuse in KCOM level is the reuse of whole object in knowledge base, and knowledge reuse in item level is the reuse of basic knowledge type. Finally knowledge reuse approaches between knowledge base and CAD system is presented.

  14. Human migraine models

    DEFF Research Database (Denmark)

    Iversen, Helle Klingenberg

    2001-01-01

    The need for experimental models is obvious. In animal models it is possible to study vascular responses, neurogenic inflammation, c-fos expression etc. However, the pathophysiology of migraine remains unsolved, why results from animal studies not directly can be related to the migraine attack......, which is a human experience. A set-up for investigations of experimental headache and migraine in humans, has been evaluated and headache mechanisms explored by using nitroglycerin and other headache-inducing agents. Nitric oxide (NO) or other parts of the NO activated cascade seems to be responsible...

  15. HUMAN RESOURCE MANAGEMENT AND KNOWLEDGE ORGANIZATION IN ESTONIA AND SLOVENIA

    Directory of Open Access Journals (Sweden)

    Dana Mesner Andolšek

    2015-01-01

    Full Text Available The purpose of the analysis is to make a comparison of HRM practices among New Member States (especially Estonia and Slovenia and how these practices help to create the conditions to develop a knowledge organization. In the paper, the systemic and logical analysis of knowledge management concept and its relations with HRM was used. For empirical research a simple exploratory analysis statistical technique was used on Cranet (the Cranfield Network on Comparative Human Resource Management data on HRM practices across countries was used. Major findings allow stating that two important prerequisites for knowledge organization are met and they are successfully implemented through HRM practices especially in organizations in one country. The empirical research findings showed the trends in global economy and the ability of organizations in the New Member States to adapt through institutionally developed HRM practices.

  16. Understanding indigenous knowledge: Bridging the knowledge gap through a knowledge creation model for agricultural development

    OpenAIRE

    Edda T. Lwoga; Patrick Ngulube; Christine Stilwell

    2010-01-01

    This article addresses the management of agricultural indigenous knowledge (IK) in developing countries, with a specific focus on Tanzania. It provides background details on IK and its importance for agricultural development. It introduces various knowledge management (KM) concepts and discusses their application in managing IK in the developing world by placing Nonaka’s knowledge creation theory (Nonaka 1991; Nonaka & Takeuchi 1995; Nonaka, Toyama & Konno 2000) in the context of the ...

  17. Children's Rights in the Western Positivistic Model of Knowledge Production

    Directory of Open Access Journals (Sweden)

    Eduardo A. Arturo Capomassi

    2006-01-01

    Full Text Available This paper is an exploration of the universal activity of perceiving daily experience. The aim is to understand complex processes such as the social organization, origins of inequality and injustice, and the individual and collective participation and responsibilities in such processes with special emphasis on children’s rights. The identification of the knowledge-organization-identity subsystem that propels human development and its background in philosophy, physics and biology served as the conceptual framework for this exploration. This framework was used for unfolding a critique of the Western positivistic model of knowledge production, based on the analysis of power, ethics, and legal subsystem roles. Subsequently, children’s rights are analyzed from a global perspective that demands the construction of new conceptual approaches. URN: urn:nbn:de:0114-fqs0601250

  18. Semi-automated knowledge discovery: identifying and profiling human trafficking

    Science.gov (United States)

    Poelmans, Jonas; Elzinga, Paul; Ignatov, Dmitry I.; Kuznetsov, Sergei O.

    2012-11-01

    We propose an iterative and human-centred knowledge discovery methodology based on formal concept analysis. The proposed approach recognizes the important role of the domain expert in mining real-world enterprise applications and makes use of specific domain knowledge, including human intelligence and domain-specific constraints. Our approach was empirically validated at the Amsterdam-Amstelland police to identify suspects and victims of human trafficking in 266,157 suspicious activity reports. Based on guidelines of the Attorney Generals of the Netherlands, we first defined multiple early warning indicators that were used to index the police reports. Using concept lattices, we revealed numerous unknown human trafficking and loverboy suspects. In-depth investigation by the police resulted in a confirmation of their involvement in illegal activities resulting in actual arrestments been made. Our human-centred approach was embedded into operational policing practice and is now successfully used on a daily basis to cope with the vastly growing amount of unstructured information.

  19. Product Modeling Based on Knowledge Fusion in Virtual Environment

    Institute of Scientific and Technical Information of China (English)

    邹湘军; 孙健; 何汉武

    2004-01-01

    Following researches on the knowledge-based product design, product modeling based on knowledge fusion is studied in a virtual environment. Knowledge fusion is the energy sources of product innovation designs. Because a knowledge representation method is the main content of knowledge fusion, production rule way, semantic network, predicate, object-oriented and case-based representations are discussed. Using agents with object-oriented method, the knowledge can be represented as a set. The product knowledge set is divided into two subset: text knowledge and knowledge of engineering graphics that is a different form. Manipulation of the subset knowledge and fusion method is described. The paper also describes a six-tuple function in an agent data structure. A virtual environment computation model is proposed, and a practical example given.

  20. Semantic techniques for enabling knowledge reuse in conceptual modelling

    NARCIS (Netherlands)

    Gracia, J.; Liem, J.; Lozano, E.; Corcho, O.; Trna, M.; Gómez-Pérez, A.; Bredeweg, B.

    2010-01-01

    Conceptual modelling tools allow users to construct formal representations of their conceptualisations. These models are typically developed in isolation, unrelated to other user models, thus losing the opportunity of incorporating knowledge from other existing models or ontologies that might enrich

  1. KNOWLEDGE SCIENCES AND NANATSUDAKI: A NEW MODEL OF KNOWLEDGE CREATION PROCESSES

    Institute of Scientific and Technical Information of China (English)

    Andrzej P.WIERZBICKI; Yoshiteru NAKAMORI

    2007-01-01

    The paper starts from a discussion of the concepts of knowledge management versus technology management,and the emergence of knowledge sciences.This is followed be a summary of recent results in the theory of knowledge creation.Most of them concern diverse spirals of creative interplay between rational (explicit) and intuitive or emotional (tacit) aspects of knowledge.Some of them concentrate on organizational (market or purpose-oriented) knowledge creation,other describe academic (research-oriented) knowledge creation.The problem addressed in this paper is how to integrate diverse spirals of knowledge creation into a prescriptive or exemplar model that would help to overcome the differences between organizational (market-oriented) and normal academic knowledge creation.As such prescriptive approach,the JAIST Nanatsudaki Model of knowledge creation is proposed.It consists of seven spirals,known from other studies,but integrated in a sequence resulting from the experience of authors in practical management of research activities.Not all of these spirals have to be fully utilized,depending on a particular application,but all of them relate to some essential aspects of either academic or organizational knowledge creation.The paper presents Nanatsudaki Model in detail with comments on consecutive spirals.The results of a survey of opinions about creativity conditions at JAIST indicate the importance of many spirals constituting the Nanatsudaki Model.Directions of further testing the Nanatsudaki Model are indicated.

  2. Understanding indigenous knowledge: Bridging the knowledge gap through a knowledge creation model for agricultural development

    Directory of Open Access Journals (Sweden)

    Edda T. Lwoga

    2010-08-01

    Full Text Available This article addresses the management of agricultural indigenous knowledge (IK in developing countries, with a specific focus on Tanzania. It provides background details on IK and its importance for agricultural development. It introduces various knowledge management (KM concepts and discusses their application in managing IK in the developing world by placing Nonaka’s knowledge creation theory (Nonaka 1991; Nonaka & Takeuchi 1995; Nonaka, Toyama & Konno 2000 in the context of the local communities. Data from focus groups were used to triangulate with data from interviews in order to validate, confirm and corroborate quantitative results with qualitative findings. The study findings showed that knowledge creation theory can be used to manage IK in the local communities, however, adequate and appropriate resources need to be allocated for capturing and preserving IK before it disappears altogether. For sustainable agricultural development, the communities have to be placed within a knowledge-creating setting that continuously creates, distributes and shares knowledge within and beyond the communities’ boundaries and integrates it with new agricultural technologies, innovations and knowledge.

  3. From Knowledge Sharing to Knowledge Creation: A Blended Knowledge-Management Model for Improving University Students' Creativity

    Science.gov (United States)

    Yeh, Yu-chu; Yeh, Yi-ling; Chen, Yu-Hua

    2012-01-01

    Creativity and knowledge management are both important competences that university students need to strive to develop. This study therefore developed and evaluated an instructional program for improving university students' creativity based on a blended knowledge-management (KM) model that integrates e-learning and three core processes of KM:…

  4. From Knowledge Sharing to Knowledge Creation: A Blended Knowledge-Management Model for Improving University Students' Creativity

    Science.gov (United States)

    Yeh, Yu-chu; Yeh, Yi-ling; Chen, Yu-Hua

    2012-01-01

    Creativity and knowledge management are both important competences that university students need to strive to develop. This study therefore developed and evaluated an instructional program for improving university students' creativity based on a blended knowledge-management (KM) model that integrates e-learning and three core processes of KM:…

  5. 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....... Businesses and organizations need efficient tools for building domain-specific ontologies and systems for managing knowledge. Most medium-sized and large Danish businesses and organizations operate in a bilingual or multilingual environment, where knowledge is transferred and stored in Danish and/or English...... 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....

  6. Human Factors Model

    Science.gov (United States)

    1993-01-01

    Jack is an advanced human factors software package that provides a three dimensional model for predicting how a human will interact with a given system or environment. It can be used for a broad range of computer-aided design applications. Jack was developed by the computer Graphics Research Laboratory of the University of Pennsylvania with assistance from NASA's Johnson Space Center, Ames Research Center and the Army. It is the University's first commercial product. Jack is still used for academic purposes at the University of Pennsylvania. Commercial rights were given to Transom Technologies, Inc.

  7. Deconstructing Human Papillomavirus (HPV) Knowledge: Objective and Perceived Knowledge in Males' Intentions to Receive the HPV Vaccine

    Science.gov (United States)

    Krawczyk, Andrea; Stephenson, Ellen; Perez, Samara; Lau, Elsa; Rosberger, Zeev

    2013-01-01

    Background: The human papillomavirus (HPV) vaccine was recently approved for men. To effectively tailor HPV education efforts toward men, it is important to understand what men know about HPV and how this knowledge relates to their decision to receive the vaccine. This study examines how objective HPV knowledge, objective HPV vaccine knowledge,…

  8. Deconstructing Human Papillomavirus (HPV) Knowledge: Objective and Perceived Knowledge in Males' Intentions to Receive the HPV Vaccine

    Science.gov (United States)

    Krawczyk, Andrea; Stephenson, Ellen; Perez, Samara; Lau, Elsa; Rosberger, Zeev

    2013-01-01

    Background: The human papillomavirus (HPV) vaccine was recently approved for men. To effectively tailor HPV education efforts toward men, it is important to understand what men know about HPV and how this knowledge relates to their decision to receive the vaccine. This study examines how objective HPV knowledge, objective HPV vaccine knowledge,…

  9. BUSINESS PROCESS MODELLING: A FOUNDATION FOR KNOWLEDGE MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Vesna Bosilj-Vukšić

    2006-12-01

    Full Text Available Knowledge management (KM is increasingly recognised as a strategic practice of knowledge-intensive companies, becoming an integral part of an organisation's strategy to improve business performance. This paper provides an overview of business process modelling applications and analyses the relationship between business process modelling and knowledge management projects. It presents the case study of Croatian leading banks and the insurance company, discussing its practical experience in conducting business process modelling projects and investigating the opportunity for integrating business process repository and organisational knowledge as the foundation for knowledge management system development.

  10. Organizing conceptual knowledge in humans with a gridlike code.

    Science.gov (United States)

    Constantinescu, Alexandra O; O'Reilly, Jill X; Behrens, Timothy E J

    2016-06-17

    It has been hypothesized that the brain organizes concepts into a mental map, allowing conceptual relationships to be navigated in a manner similar to that of space. Grid cells use a hexagonally symmetric code to organize spatial representations and are the likely source of a precise hexagonal symmetry in the functional magnetic resonance imaging signal. Humans navigating conceptual two-dimensional knowledge showed the same hexagonal signal in a set of brain regions markedly similar to those activated during spatial navigation. This gridlike signal is consistent across sessions acquired within an hour and more than a week apart. Our findings suggest that global relational codes may be used to organize nonspatial conceptual representations and that these codes may have a hexagonal gridlike pattern when conceptual knowledge is laid out in two continuous dimensions.

  11. Chemistry Teachers' Knowledge and Application of Models

    Science.gov (United States)

    Wang, Zuhao; Chi, Shaohui; Hu, Kaiyan; Chen, Wenting

    2014-01-01

    Teachers' knowledge and application of model play an important role in students' development of modeling ability and scientific literacy. In this study, we investigated Chinese chemistry teachers' knowledge and application of models. Data were collected through test questionnaire and analyzed quantitatively and qualitatively. The…

  12. Human Capital and Knowledge Emergence. Induced Effects of the Global Crisis on Human capital and Innovation

    Directory of Open Access Journals (Sweden)

    Simona Buta

    2014-12-01

    Full Text Available In the global crisis context crossed by organizations and countries in the past six years we assist also at conflicting measures in which regards knowledge, innovation and human capital; for example, countries such as England and France have reduced their costs for education, while Germany and other countries (Australia, Austria, Canada and Norway maintained the same allocations for education. What will be the effects of such measures on human capital in the near future? What are the best human resources policies in companies in the crisis context? Given that the subject of the research is "knowledge and human capital", in this paper we refer to the induced effects of the crisis on human capital and innovation. We will also identify the key steps that can be taken during crisis, and not only, to stimulate human capital.

  13. Education Knowledge System Combination Model Based on the Components

    Institute of Scientific and Technical Information of China (English)

    CHEN Lei; LI Dehua; LI Xiaojian; WU Chunxiang

    2007-01-01

    Resources are the base and core of education information, but current web education resources have no structure and it is still difficult to reuse them and make them can be self assembled and developed continually. According to the knowledge structure of course and text, the relation among knowledge points, knowledge units from three levels of media material, we can build education resource components, and build TKCM (Teaching Knowledge Combination Model) based on resource components. Builders can build and assemble knowledge system structure and make knowledge units can be self assembled, thus we can develop and consummate them continually. Users can make knowledge units can be self assembled and renewed, and build education knowledge system to satisfy users' demand under the form of education knowledge system.

  14. The Knowledge-Based Economy and the Triple Helix Model

    CERN Document Server

    Leydesdorff, Loet

    2012-01-01

    1. Introduction - the metaphor of a "knowledge-based economy"; 2. The Triple Helix as a model of the knowledge-based economy; 3. Knowledge as a social coordination mechanism; 4. Neo-evolutionary dynamics in a Triple Helix of coordination mechanism; 5. The operation of the knowledge base; 6. The restructuring of knowledge production in a KBE; 7. The KBE and the systems-of-innovation approach; 8. The KBE and neo-evolutionary theories of innovation; 8.1 The construction of the evolving unit; 8.2 User-producer relations in systems of innovation; 8.3 'Mode-2' and the production of scientific knowledge; 8.4 A Triple Helix model of innovations; 9. Empirical studies and simulations using the TH model; 10. The KBE and the measurement; 10.1 The communication of meaning and information; 10.2 The expectation of social structure; 10.3 Configurations in a knowledge-based economy

  15. HINT-KB: The human interactome knowledge base

    KAUST Repository

    Theofilatos, Konstantinos A.

    2012-01-01

    Proteins and their interactions are considered to play a significant role in many cellular processes. The identification of Protein-Protein interactions (PPIs) in human is an open research area. Many Databases, which contain information about experimentally and computationally detected human PPIs as well as their corresponding annotation data, have been developed. However, these databases contain many false positive interactions, are partial and only a few of them incorporate data from various sources. To overcome these limitations, we have developed HINT-KB (http://150.140.142.24:84/Default.aspx) which is a knowledge base that integrates data from various sources, provides a user-friendly interface for their retrieval, estimates a set of features of interest and computes a confidence score for every candidate protein interaction using a modern computational hybrid methodology. © 2012 IFIP International Federation for Information Processing.

  16. Development of a Model for Maaging Organizational Knowledge

    Energy Technology Data Exchange (ETDEWEB)

    Ashdown, B.; Smith, K.

    1999-05-05

    We created three models to represent a comprehensive knowledge model: · Stages of Knowledge Management Model (Forrester) · Expanded Life-Cycle Information Management Model · Organizational Knowledge Management Model. In building a series of models, we started with an attempt to create a graphical model that illustrates the ideas outlined in the Forrester article (Leadership Strategies, Vol. 3, No. 2, November/December 1997). We then expanded and detailed a life-cycle model. Neither of these effectively reflected how to manage the complexities involved in weaving local, enterprise, and global information into an easily navigated resource for end users. We finally began to synthesize these ideas into an Organizational Knowledge Management Model. This model acknowledges the relevance of life-cycle management for different granularities of information collections and places it in the context of the integrating infrastructure needed to assist end users.

  17. Linking person perception and person knowledge in the human brain.

    Science.gov (United States)

    Greven, Inez M; Downing, Paul E; Ramsey, Richard

    2016-04-01

    Neuroscience research has examined separately how we detect human agents on the basis of their face and body (person perception) and how we reason about their thoughts, traits or intentions (person knowledge). Neuroanatomically distinct networks have been associated with person perception and person knowledge, but it remains unknown how multiple features of a person (e.g. thin and kind) are linked to form a holistic identity representation. In this fMRI experiment, we investigated the hypothesis that when encountering another person specialised person perception circuits would be functionally coupled with circuits involved in person knowledge. In a factorial design, we paired bodies or names with trait-based or neutral statements, and independent localiser scans identified body-selective and mentalising networks. When observing a body paired with a trait-implying statement, functional connectivity analyses demonstrated that body-selective patches in bilateral fusiform gyri were functionally coupled with nodes of the mentalising network. We demonstrate that when forming a representation of a person circuits for representing another person's physical appearance are linked to circuits that are engaged when reasoning about trait-based character. These data support the view that a 'who' system for social cognition involves communication between perceptual and inferential mechanisms when forming a representation of another's identity.

  18. Data Mining and Knowledge Management: A System Analysis for Establishing a Tiered Knowledge Management Model.

    Science.gov (United States)

    Luan, Jing; Willett, Terrence

    This paper discusses data mining--an end-to-end (ETE) data analysis tool that is used by researchers in higher education. It also relates data mining and other software programs to a brand new concept called "Knowledge Management." The paper culminates in the Tier Knowledge Management Model (TKMM), which seeks to provide a stable…

  19. Role of Human Knowledge and Communication on Operational Benefits Gained from Six Sigma

    Directory of Open Access Journals (Sweden)

    Jorge L. García-Alcaraz

    2017-09-01

    Full Text Available Six Sigma (SS is a production philosophy focused on human experiences and knowledge, aimed to minimize defects of products and services. The appropriate implementation of SS requires an education process, reliable data analysis, efficient didactic material, statistical techniques and human knowledge to improve communication and operational benefits. In this article, we present a structural equation model integrating those aspects as latent variables and relating them with ten hypotheses. Data for hypothesis validation were gathered among 301 manufacturing companies, and assessed using partial least squares (PLS to estimate direct, indirect, and total effects. As results, we found that access to reliable information, trusted analysis and knowledgeable management are crucial for SS implementation at the problem definition stage. Likewise, to execute and control SS projects, it is important to be trained in statistical techniques through clear didactic materials.

  20. Representing Human Expertise by the OWL Web Ontology Language to Support Knowledge Engineering in Decision Support Systems.

    Science.gov (United States)

    Ramzan, Asia; Wang, Hai; Buckingham, Christopher

    2014-01-01

    Clinical decision support systems (CDSSs) often base their knowledge and advice on human expertise. Knowledge representation needs to be in a format that can be easily understood by human users as well as supporting ongoing knowledge engineering, including evolution and consistency of knowledge. This paper reports on the development of an ontology specification for managing knowledge engineering in a CDSS for assessing and managing risks associated with mental-health problems. The Galatean Risk and Safety Tool, GRiST, represents mental-health expertise in the form of a psychological model of classification. The hierarchical structure was directly represented in the machine using an XML document. Functionality of the model and knowledge management were controlled using attributes in the XML nodes, with an accompanying paper manual for specifying how end-user tools should behave when interfacing with the XML. This paper explains the advantages of using the web-ontology language, OWL, as the specification, details some of the issues and problems encountered in translating the psychological model to OWL, and shows how OWL benefits knowledge engineering. The conclusions are that OWL can have an important role in managing complex knowledge domains for systems based on human expertise without impeding the end-users' understanding of the knowledge base. The generic classification model underpinning GRiST makes it applicable to many decision domains and the accompanying OWL specification facilitates its implementation.

  1. A Knowledge Representation Model for Video—Based Animation

    Institute of Scientific and Technical Information of China (English)

    劳志强; 潘云鹤

    1998-01-01

    In this paper,a brief survey on knowledge-based animation techniques is given.Then a VideoStream-based Knowledge Representation Model(VSKRM)for Joint Objects is presented which includes the knowledge representation of :Graphic Object,Action and VideoStream.Next a general description of the UI framework of a system is given based on the VSKRM model.Finally,a conclusion is reached.

  2. Online Knowledge-Based Model for Big Data Topic Extraction.

    Science.gov (United States)

    Khan, Muhammad Taimoor; Durrani, Mehr; Khalid, Shehzad; Aziz, Furqan

    2016-01-01

    Lifelong machine learning (LML) models learn with experience maintaining a knowledge-base, without user intervention. Unlike traditional single-domain models they can easily scale up to explore big data. The existing LML models have high data dependency, consume more resources, and do not support streaming data. This paper proposes online LML model (OAMC) to support streaming data with reduced data dependency. With engineering the knowledge-base and introducing new knowledge features the learning pattern of the model is improved for data arriving in pieces. OAMC improves accuracy as topic coherence by 7% for streaming data while reducing the processing cost to half.

  3. Online Knowledge-Based Model for Big Data Topic Extraction

    Science.gov (United States)

    Khan, Muhammad Taimoor; Durrani, Mehr; Khalid, Shehzad; Aziz, Furqan

    2016-01-01

    Lifelong machine learning (LML) models learn with experience maintaining a knowledge-base, without user intervention. Unlike traditional single-domain models they can easily scale up to explore big data. The existing LML models have high data dependency, consume more resources, and do not support streaming data. This paper proposes online LML model (OAMC) to support streaming data with reduced data dependency. With engineering the knowledge-base and introducing new knowledge features the learning pattern of the model is improved for data arriving in pieces. OAMC improves accuracy as topic coherence by 7% for streaming data while reducing the processing cost to half. PMID:27195004

  4. A Behavioral Maturity Model to Establish Knowledge Management in an Organization

    Directory of Open Access Journals (Sweden)

    C. S. Fashami

    2017-06-01

    Full Text Available Modern organizations need intangible assets such as organizational knowledge and human resources to gain competitive advantage in the market. Organizations can provide opportunities for behavioral maturity of managers to establish knowledge management. This study tries to develop a behavioral maturity model for managements to examine effectiveness of knowledge management. The study is conducted in Iran Insurance Company as an empirical case study. Twenty academic and organizational experts are selected for the study. Employees and managers of Iran Insurance Company are used to measure and test conceptual model (behavioral maturity of managers to establish knowledge management. Both interview and questionnaire tools are used to collect data. Fuzzy AHP and PLS methods are used to analyze the collected data. Fuzzy AHP results show that transformational leadership, human and social skills, knowledge orientation, emotional intelligence, trustful climate are identified as highly effective priorities.

  5. Model Based Fuzzy Expert System for Measuring Organization Knowledge Management

    Directory of Open Access Journals (Sweden)

    Houshang Taghizadeh

    2012-02-01

    Full Text Available This paper presents a model based on fuzzy set theory for determining the score of knowledge management in organization. The introduced model has five stages. In the first stage, input and output variable of model are characterized by available theories. Inputs are as follows: knowledge acquisition, knowledge storage, knowledge creation, knowledge sharing and knowledge transfer. The output is as follow score of knowledge management in organization. In the second stage, the input and output are converted into fuzzy numbers after classification. Inference rules are explained in the third stage. In the fourth stage, defuzzification is performed, and in the fifth stage, the devised system is tested. The test result shows that the presented model has high validity. Ultimately, by using the designed model, the score of knowledge management for Tabriz Kar machinery industry was calculated. The statistical population consists of 50 members of this organization. All the population has been studied. A questionnaire was devised, and its validity and reliability were confirmed. The result indicated that the score of knowledge management in Tabriz Kar machinery industry with the membership rank of 0.924 was at an average level and with the membership rank of 0.076 was at a high

  6. Human Adaptive Mechatronics and Human-System Modelling

    Directory of Open Access Journals (Sweden)

    Satoshi Suzuki

    2013-03-01

    Full Text Available Several topics in projects for mechatronics studies, which are 'Human Adaptive Mechatronics (HAM' and 'Human-System Modelling (HSM', are presented in this paper. The main research theme of the HAM project is a design strategy for a new intelligent mechatronics system, which enhances operators' skills during machine operation. Skill analyses and control system design have been addressed. In the HSM project, human modelling based on hierarchical classification of skills was studied, including the following five types of skills: social, planning, cognitive, motion and sensory-motor skills. This paper includes digests of these research topics and the outcomes concerning each type of skill. Relationships with other research activities, knowledge and information that will be helpful for readers who are trying to study assistive human-mechatronics systems are also mentioned.

  7. Knowledge modeling of coal mining equipments based on ontology

    Science.gov (United States)

    Zhang, Baolong; Wang, Xiangqian; Li, Huizong; Jiang, Miaomiao

    2017-06-01

    The problems of information redundancy and sharing are universe in coal mining equipment management. In order to improve the using efficiency of knowledge of coal mining equipments, this paper proposed a new method of knowledge modeling based on ontology. On the basis of analyzing the structures and internal relations of coal mining equipment knowledge, taking OWL as ontology construct language, the ontology model of coal mining equipment knowledge is built with the help of Protégé 4.3 software tools. The knowledge description method will lay the foundation for the high effective knowledge management and sharing, which is very significant for improving the production management level of coal mining enterprises.

  8. University Students' Knowledge and Attitudes Regarding Cervical Cancer, Human Papillomavirus, and Human Papillomavirus Vaccines in Turkey

    Science.gov (United States)

    Koç, Zeliha

    2015-01-01

    Objectives: The current descriptive study aimed to determine university students' knowledge and attitudes regarding cervical cancer, human papillomavirus (HPV), and HPV vaccines in Turkey. Participants: A total of 800 students participated. Methods: This study was carried out between September 1, 2012, and October 30, 2012, in 8 female…

  9. University Students' Knowledge and Attitudes Regarding Cervical Cancer, Human Papillomavirus, and Human Papillomavirus Vaccines in Turkey

    Science.gov (United States)

    Koç, Zeliha

    2015-01-01

    Objectives: The current descriptive study aimed to determine university students' knowledge and attitudes regarding cervical cancer, human papillomavirus (HPV), and HPV vaccines in Turkey. Participants: A total of 800 students participated. Methods: This study was carried out between September 1, 2012, and October 30, 2012, in 8 female…

  10. Kinds of Knowledge-Telling: Modeling early writing development

    OpenAIRE

    Hayes, John R.

    2011-01-01

    The thesis of this article is that Bereiter and Scardamalia's (1987) knowledge-telling strategy may be viewed as a family of strategies. In particular, when young writers compose expository themes from their own knowledge, they may use one of three writing strategies: a flexible-focus strategy, a fixed-topic strategy, or a topic-elaboration strategy, all of which may be viewed as kinds of knowledge-telling. The article then proposes models to characterize the organization of cognitive process...

  11. Knowledge Transfer in B-O-R-N Model to Enhance Computer Learners' Learning Outcomes in Knowledge and Cognitive Skills

    Science.gov (United States)

    Duangchant, Shatchaya; Kiattikomol, Paiboon; Kaewkuekool, Sittichai

    2016-01-01

    Purpose: The process of knowledge transfer under the B-O-R-N Model is based on the concepts of knowledge transfer and change of knowledge patterns to create new knowledge. It stimulates learners to learn under the process of knowledge transfer during the learning with an aim to allow learners to achieve the learning outcomes.…

  12. Framework for product knowledge and product related knowledge which supports product modelling for mass customization

    DEFF Research Database (Denmark)

    Riis, Jesper; Hansen, Benjamin Loer; Hvam, Lars

    2003-01-01

    The article presents a framework for product knowledge and product related knowledge which can be used to support the product modelling process which is needed for developing IT systems. These IT systems are important tools for many companies when they aim at achieving mass customization and pers......The article presents a framework for product knowledge and product related knowledge which can be used to support the product modelling process which is needed for developing IT systems. These IT systems are important tools for many companies when they aim at achieving mass customization...... on experience from product modelling projects in several companies. Among them for example companies manufacturing electronic switchboards, spray dryer systems and air conditioning equipment. The framework is divided into three views: the product knowledge view, the life phase system view and the transformation...... process view (“the meeting”). The persons (rolls) involved in the product modelling process are for example: domain experts, change managers, model managers, project leaders, technical facilitators, process managers and software programmers. They need a framework during the product modelling process...

  13. Reusing knowledge in embedded system modelling

    NARCIS (Netherlands)

    Marincic, J.; Mader, Angelika H.; Wieringa, Roelf J.; Lucas, Yan

    2013-01-01

    Model-based design is a promising technique to improve the quality of software and the efficiency of the software development process. We are investigating how to efficiently model embedded software and its environment to verify the requirements for the system controlled by the software. The softwar

  14. Models of Lifelong Learning and the "Knowledge Society"

    Science.gov (United States)

    Green, Andy

    2006-01-01

    Many of the current policy debates in Europe focus on what kind of "knowledge economy" or "knowledge society" would be best in the future if it is to combine both economic competitiveness and social cohesion. Should European economies move increasingly towards the so-called Anglo-Saxon model of flexible labour markets and high…

  15. Using Partial Credit and Response History to Model User Knowledge

    Science.gov (United States)

    Van Inwegen, Eric G.; Adjei, Seth A.; Wang, Yan; Heffernan, Neil T.

    2015-01-01

    User modelling algorithms such as Performance Factors Analysis and Knowledge Tracing seek to determine a student's knowledge state by analyzing (among other features) right and wrong answers. Anyone who has ever graded an assignment by hand knows that some answers are "more wrong" than others; i.e. they display less of an understanding…

  16. Alphabet Knowledge in Preschool: A Rasch Model Analysis

    Science.gov (United States)

    Drouin, Michelle; Horner, Sherri L.; Sondergeld, Toni A.

    2012-01-01

    In this study, we used Rasch model analyses to examine (1) the unidimensionality of the alphabet knowledge construct and (2) the relative difficulty of different alphabet knowledge tasks (uppercase letter recognition, names, and sounds, and lowercase letter names) within a sample of preschoolers (n=335). Rasch analysis showed that the four…

  17. Models of Lifelong Learning and the "Knowledge Society"

    Science.gov (United States)

    Green, Andy

    2006-01-01

    Many of the current policy debates in Europe focus on what kind of "knowledge economy" or "knowledge society" would be best in the future if it is to combine both economic competitiveness and social cohesion. Should European economies move increasingly towards the so-called Anglo-Saxon model of flexible labour markets and high employment…

  18. The Academic Knowledge Management Model of Small Schools in Thailand

    Science.gov (United States)

    Tumtuma, Chamnan; Chantarasombat, Chalard; Yeamsang, Theerawat

    2015-01-01

    The Academic Knowledge Management Model of Small Schools in Thailand was created by research and development. The quantitative and qualitative data were collected via the following steps: a participatory workshop meeting, the formation of a team according to knowledge base, field study, brainstorming, group discussion, activities carried out…

  19. Teenagers’ knowledge of human sexuality and their views on teenage pregnancies

    OpenAIRE

    P J Kunene

    1995-01-01

    There is concern about poor knowledge of human sexuality and a high rate of teenage pregnancies among Blacks. The primary aim of the study was to measure the knowledge that teenagers have on human sexuality and to identify the sources from which they obtain such knowledge. The secondary aim was to detect how teenagers perceive the teenage pregnancy problem and its consequences,

  20. Primary health care models: medical students’ knowledge and perceptions.

    Science.gov (United States)

    Brown, Judith Belle; French, Reta; McCulloch, Amy; Clendinning, Eric

    2012-03-01

    To explore the knowledge and perceptions of fourth-year medical students regarding the new models of primary health care (PHC) and to ascertain whether that knowledge influenced their decisions to pursue careers in family medicine. Qualitative study using semistructured interviews. The Schulich School of Medicine and Dentistry at The University of Western Ontario in London. Participants Fourth-year medical students graduating in 2009 who indicated family medicine as a possible career choice on their Canadian Residency Matching Service applications. Eleven semistructured interviews were conducted between January and April of 2009. Data were analyzed using an iterative and interpretive approach. The analysis strategy of immersion and crystallization assisted in synthesizing the data to provide a comprehensive view of key themes and overarching concepts. Four key themes were identified: the level of students’ knowledge regarding PHC models varied; the knowledge was generally obtained from practical experiences rather than classroom learning; students could identify both advantages and disadvantages of working within the new PHC models; and although students regarded the new PHC models positively, these models did not influence their decisions to pursue careers in family medicine. Knowledge of the new PHC models varies among fourth-year students, indicating a need for improved education strategies in the years before clinical training. Being able to identify advantages and disadvantages of the PHC models was not enough to influence participants’ choice of specialty. Educators and health care policy makers need to determine the best methods to promote and facilitate knowledge transfer about these PHC models.

  1. A New Model for the Organizational Knowledge Life Cycle

    CERN Document Server

    Lella, Luigi

    2010-01-01

    Actual organizations, in particular the ones which operate in evolving and distributed environments, need advanced frameworks for the management of the knowledge life cycle. These systems have to be based on the social relations which constitute the pattern of collaboration ties of the organization. We demonstrate here, with the aid of a model taken from the theory of graphs, that it is possible to provide the conditions for an effective knowledge management. A right way could be to involve the actors with the highest betweeness centrality in the generation of discussion groups. This solution allows the externalization of tacit knowledge, the preservation of knowledge and the raise of innovation processes.

  2. An integrative model of knowledge management and team work

    Directory of Open Access Journals (Sweden)

    Juan A. Marin-Garcia

    2008-10-01

    Full Text Available Human Resource Management relevance in Knowledge Management has been studied in academic literature mostly from the point of view of recruitment, selection, wages and salaries and career development processes. We have found few publications that are focused in the behaviour of the group of people who generate, share and transfer that knowledge while working in a team. The aim of this paper is to propose a framework that describes the relation between knowledge management and team work,, integrating Nonaka and Takeuchi, Leonard- Barton and Heisig framework proposals, as well as to outline some reflexions for further researches.

  3. Human papillomavirus knowledge and vaccine acceptability among adolescents in a Greek region.

    Science.gov (United States)

    Anagnostou, P A; Aletras, V H; Niakas, D A

    2017-09-08

    The aim of this research was twofold: (1) develop an instrument to assess knowledge regarding human papillomavirus (HPV) and its vaccine and utilize this instrument to measure knowledge levels of Greek adolescents in Lyceum schools of Western Thessaloniki; and (2) examine the associations of the resultant knowledge measure scores with sociodemographic characteristics. Cross-sectional survey with complex sampling design. A total of 268 students of three Lyceum schools in Western Thessaloniki responded anonymously to a questionnaire during February-March 2013. The instrument was developed by literature review. Answers of respondents to individual questions were initially presented in terms of absolute and relative frequencies. Knowledge items were presented by gender along with appropriate chi-squared tests. Next, the development and validation of a knowledge score was pursued with Rasch analysis. Raw scores of dichotomous true/false items were converted to interval-level adjusted student scores, and the reliability and validity of the model were assessed. Finally, the effect of sociodemographic variables on the knowledge measure was explored by multivariate linear regression. Analysis of individual items documented low knowledge for both female and male students along with a limited role of doctors as information agents and little associated encouragement toward vaccination. Vaccine uptake was low with many young girls being largely unwilling to vaccinate in the future primarily due to the fear of side-effects and lack of information. Person location parameters (knowledge scores) were derived from a Rasch model with satisfactory reliability and validity. The resultant validated measure confirmed the low knowledge levels of Greek students. Nationality and birthplace seemed to affect knowledge level. Further improvement and validation of the knowledge measure used in this study can assist nationwide surveys in order to examine student knowledge regarding HPV and its

  4. Modelling Configuration Knowledge in Heterogeneous Product Families

    DEFF Research Database (Denmark)

    Queva, Matthieu Stéphane Benoit; Männistö, Tomi; Ricci, Laurent

    2011-01-01

    Product configuration systems play an important role in the development of Mass Customisation. The configuration of complex product families may nowadays involve multiple design disciplines, e.g. hardware, software and services. In this paper, we present a conceptual approach for modelling the va...

  5. Evaluating Effect of Knowledge Management Strategy on Human Resource Management Performance Using BSC Approach

    Directory of Open Access Journals (Sweden)

    Hossein Mansoori

    2012-02-01

    Full Text Available This research provided a model for evaluating the effect of knowledge management strategy on human resource management performance in higher education institutes and academic libraries. This research was a descriptive survey. According to the research literature and expert opinions, in human resource level, 38 indicators were produced for evaluating KM, then these indicators were classified in 10 total factors in terms of balanced scorecard approach. The results of evaluating knowledge management in Yazd academic libraries showed that, this strategy on customer perspectives, internal processes, learning and growth perspective had a good performance. But in terms of financial and Labor productivity indicators and training programs it did not have a good outcome for Yazd academic libraries.

  6. Modeling Strategic-Knowledge-Resource Management Based on Individual Competencies in SMEs

    Directory of Open Access Journals (Sweden)

    Justyna Patalas-Maliszewska

    2011-06-01

    Full Text Available A number of publications have dealt with the correlation between knowledge-management capability and competitiveness. In the article describing human resources as strategic-knowledge resources, which is motivated by: the concept of effective management of resources in an organization (Sirmon and Hitt, 2003, an enterprise’s unique potential in the form of knowledge and experience (Barney, 1995, and the concept of competence management (Hamel and Prahalad, 1994. This study describes competence and resource management, sharing in the collaborative development and implementation of strategic-knowledge-resource management in SMEs. In this context, strategic-knowledge resources are defined in such a way as to be incorporated into a model of strategic-knowledge-resource management.

  7. Modelling Knowledge Systems using Relation Nets and Hypernets

    OpenAIRE

    Rooyen, Hendrik O. van; Geldenhuys, Aletta E.; Stetter, Franz

    2004-01-01

    In the book "Knowledge Representation and Relation Nets" we introduced a structural model called a Relation Net and a special relation net called a Concept Relationship Knowledge Structure (CRKS). In this work we broaden the notion of a relation net to produce a new but associated structural model, a Hypernet. We show that the general theory of hypernets has applications in the acquisition/learning, representation, retrieval, accommodation and assimilation, management and communication/teachi...

  8. Uncertainty Models for Knowledge-Based Systems

    Science.gov (United States)

    1991-08-01

    D. V. (1982). Improving judgment by reconciling incoherence. The behavioral and brain Sciences, 4, 317-370. (26] Carnap , R. (1958). Introduction to...Symbolic Logic and its Applications. Dover, N. Y. References 597 [271 Carnap , R. (1959). The Logical Syntax of Language. Littlefield, Adam and Co...Paterson, New Jersey. [28] Carnap , R. (1960). Meaning and Necessity, a Study in Semantic and Model Logic. Phoenix Books, Univ. of Chicago. [29] Carrega

  9. Conceptual Data Modelling of Modern Human Migration

    Directory of Open Access Journals (Sweden)

    Kosta Sotiroski

    2012-12-01

    Full Text Available The processes of human migrations have been present for ages, since the very beginnings of human history on the planet Earth. Nowadays, these are amplified to a large scale due to the modern means of communication, transportation, information and knowledge exchange, as well as the complex processes of globalization. Knowing the social, demographic, ethnical and educational structure of the migrants, as well as their geographical trajectory and temporal dynamics of their spatial moving across territories, countries and continents, is of a crucial meaning for both national governments and international policies. There is an emphasized need for identifying, acquiring, organizing, storing, retrieving and analyzing data related to human migration processes. The relational databases provide an ultimate solution, whilst the E-R diagram represents a common graphical tool for conceptual data modelling and relational database design. Within the paper we develop and propose a logical data model of the modern human migration.

  10. Knowledge network model of the energy consumption in discrete manufacturing system

    Science.gov (United States)

    Xu, Binzi; Wang, Yan; Ji, Zhicheng

    2017-07-01

    Discrete manufacturing system generates a large amount of data and information because of the development of information technology. Hence, a management mechanism is urgently required. In order to incorporate knowledge generated from manufacturing data and production experience, a knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology. This model could provide a standard representation for concepts, terms and their relationships, which could be understood by both human and computer. Besides, the formal description of energy consumption knowledge elements (ECKEs) in the knowledge network was also given. Finally, an application example was used to verify the feasibility of the proposed method.

  11. Analysing Models as a Knowledge Technology in Transport Planning

    DEFF Research Database (Denmark)

    Gudmundsson, Henrik

    2011-01-01

    Models belong to a wider family of knowledge technologies, applied in the transport area. Models sometimes share with other such technologies the fate of not being used as intended, or not at all. The result may be ill-conceived plans as well as wasted resources. Frequently, the blame for such a ......Models belong to a wider family of knowledge technologies, applied in the transport area. Models sometimes share with other such technologies the fate of not being used as intended, or not at all. The result may be ill-conceived plans as well as wasted resources. Frequently, the blame...... critical analytic literature on knowledge utilization and policy influence. A simple scheme based in this literature is drawn up to provide a framework for discussing the interface between urban transport planning and model use. A successful example of model use in Stockholm, Sweden is used as a heuristic...

  12. Unspoken knowledge: implicit learning of structured human dance movement.

    Science.gov (United States)

    Opacic, Tajana; Stevens, Catherine; Tillmann, Barbara

    2009-11-01

    The sequencing of dance movements may be thought of as a grammar. We investigate implicit learning of regularities that govern sequences of unfamiliar, discrete dance movements. It was hypothesized that observers without prior experience with contemporary dance would be able to learn regularities that underpin structured human movement. Thirty-one adults were assigned to either an exposure or a control group. Exposure consisted of 22 grammatical 3-, 4-, and 5-movement sequences presented twice in random order; sequence duration ranged from 9 to 19 s. In a test phase, exposure and control groups identified previously unseen sequences as grammatical or ungrammatical, and rated confidence of judgment. The exposure group selected significantly more new grammatical sequences in the test phase than the control group. In addition, for the exposure group, the zero correlation criterion, wherein no relation between confidence and accuracy indicates unconscious knowledge, was satisfied. Through exposure, novice observers can learn a grammar that governs the sequencing of dance movements. This has implications for implicit learning of long sequences, working memory, and the development of expectations through exposure to contemporary dance.

  13. OPEN NETWORK OF FORMAL CORPORATIVE KNOWLEDGE: A CONCEPTUAL MODEL

    Directory of Open Access Journals (Sweden)

    Savchenko A. P.

    2014-11-01

    Full Text Available Within emerging knowledge economy, the current issue is efficient use and reproduction of knowledge in socio-economic systems. One of the promising approaches to the creation of working knowledge management system is based on the open ontological knowledge network. The knowledge network is the model of the process of knowledge sharing, implemented in the virtual space, which inherits the advantages of this process and removes some of its shortcomings. Ontology is a basic component of the conceptual model of the knowledge network; it describes a system of knowledge and defines the structure of data storage in the network. The hierarchy of ontologies involves three levels: metaontology, basic and subject-specific ontology. The ontology use solves two tasks: providing a tool for semantic markup of information resources and disclosing the structure of the information storage for the user. The second task is especially important to ensure an efficient search in large data arrays. The technology of construction of open network includes a set of principles and tools for filling and updating of the domain ontology, fast semantic markup and retrieval of information resources taking into account their semantic links

  14. Regional knowledge economy development indicative planning system conceptual model

    Directory of Open Access Journals (Sweden)

    Elena Davidovna Vaisman

    2012-12-01

    Full Text Available The subject of the research is the processes of Russian knowledge economy development, its progress on the regional level is taken as a theme, which determined the purpose of research: development of the regional knowledge economy development indicative planning method conceptual model. The methodological base of the research is the knowledge economy concept and supply and demand theory, the methods of comparative and system analysis and theoretical modeling; common generalization and classification methods and regression models are used in the work. As a result, we managed to create the regional knowledge economy development indicative planning method conceptual model, which includes the choice of the types of indicative plans and the justification for the complex of indicators according to the stated requirements to this complex. The model of supply and demand for knowledge dependency from the knowledge cost, allowing to determine the acceptable range for the indicators proceeding from the demand and supply levels and their interrelation, is developed. The obtained results may be used by the regional government authorities while planning the regional innovative development and consulting companies while making the proposals for this development

  15. Modeling human color categorization

    NARCIS (Netherlands)

    van den Broek, Egon; Schouten, Th.E.; Kisters, P.M.F.

    2008-01-01

    A unique color space segmentation method is introduced. It is founded on features of human cognition, where 11 color categories are used in processing color. In two experiments, human subjects were asked to categorize color stimuli into these 11 color categories, which resulted in markers for a Colo

  16. Modeling human color categorization

    NARCIS (Netherlands)

    van den Broek, Egon; Schouten, Th.E.; Kisters, P.M.F.

    A unique color space segmentation method is introduced. It is founded on features of human cognition, where 11 color categories are used in processing color. In two experiments, human subjects were asked to categorize color stimuli into these 11 color categories, which resulted in markers for a

  17. MKEM: a Multi-level Knowledge Emergence Model for mining undiscovered public knowledge

    Directory of Open Access Journals (Sweden)

    Song Min

    2010-04-01

    Full Text Available Abstract Background Since Swanson proposed the Undiscovered Public Knowledge (UPK model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier works, however, required substantial manual intervention to reduce the number of possible connections and are mainly applied to disease-effect relation. With the advancement in biomedical science, it has become imperative to extract and combine information from multiple disjoint researches, studies and articles to infer new hypotheses and expand knowledge. Methods We propose MKEM, a Multi-level Knowledge Emergence Model, to discover implicit relationships using Natural Language Processing techniques such as Link Grammar and Ontologies such as Unified Medical Language System (UMLS MetaMap. The contribution of MKEM is as follows: First, we propose a flexible knowledge emergence model to extract implicit relationships across different levels such as molecular level for gene and protein and Phenomic level for disease and treatment. Second, we employ MetaMap for tagging biological concepts. Third, we provide an empirical and systematic approach to discover novel relationships. Results We applied our system on 5000 abstracts downloaded from PubMed database. We performed the performance evaluation as a gold standard is not yet available. Our system performed with a good precision and recall and we generated 24 hypotheses. Conclusions Our experiments show that MKEM is a powerful tool to discover hidden relationships residing in extracted entities that were represented by our Substance-Effect-Process-Disease-Body Part (SEPDB model.

  18. Integrated Environmental Modelling: human decisions, human challenges

    Science.gov (United States)

    Glynn, Pierre D.

    2015-01-01

    Integrated Environmental Modelling (IEM) is an invaluable tool for understanding the complex, dynamic ecosystems that house our natural resources and control our environments. Human behaviour affects the ways in which the science of IEM is assembled and used for meaningful societal applications. In particular, human biases and heuristics reflect adaptation and experiential learning to issues with frequent, sharply distinguished, feedbacks. Unfortunately, human behaviour is not adapted to the more diffusely experienced problems that IEM typically seeks to address. Twelve biases are identified that affect IEM (and science in general). These biases are supported by personal observations and by the findings of behavioural scientists. A process for critical analysis is proposed that addresses some human challenges of IEM and solicits explicit description of (1) represented processes and information, (2) unrepresented processes and information, and (3) accounting for, and cognizance of, potential human biases. Several other suggestions are also made that generally complement maintaining attitudes of watchful humility, open-mindedness, honesty and transparent accountability. These suggestions include (1) creating a new area of study in the behavioural biogeosciences, (2) using structured processes for engaging the modelling and stakeholder communities in IEM, and (3) using ‘red teams’ to increase resilience of IEM constructs and use.

  19. Knowledge Management through the Equilibrium Pattern Model for Learning

    Science.gov (United States)

    Sarirete, Akila; Noble, Elizabeth; Chikh, Azeddine

    Contemporary students are characterized by having very applied learning styles and methods of acquiring knowledge. This behavior is consistent with the constructivist models where students are co-partners in the learning process. In the present work the authors developed a new model of learning based on the constructivist theory coupled with the cognitive development theory of Piaget. The model considers the level of learning based on several stages and the move from one stage to another requires learners' challenge. At each time a new concept is introduced creates a disequilibrium that needs to be worked out to return back to its equilibrium stage. This process of "disequilibrium/equilibrium" has been analyzed and validated using a course in computer networking as part of Cisco Networking Academy Program at Effat College, a women college in Saudi Arabia. The model provides a theoretical foundation for teaching especially in a complex knowledge domain such as engineering and can be used in a knowledge economy.

  20. Knowledge epidemics and population dynamics models for describing idea diffusion

    CERN Document Server

    Vitanov, Nikolay K

    2012-01-01

    The diffusion of ideas is often closely connected to the creation and diffusion of knowledge and to the technological evolution of society. Because of this, knowledge creation, exchange and its subsequent transformation into innovations for improved welfare and economic growth is briefly described from a historical point of view. Next, three approaches are discussed for modeling the diffusion of ideas in the areas of science and technology, through (i) deterministic, (ii) stochastic, and (iii) statistical approaches. These are illustrated through their corresponding population dynamics and epidemic models relative to the spreading of ideas, knowledge and innovations. The deterministic dynamical models are considered to be appropriate for analyzing the evolution of large and small societal, scientific and technological systems when the influence of fluctuations is insignificant. Stochastic models are appropriate when the system of interest is small but when the fluctuations become significant for its evolution...

  1. Assessing Implicit Knowledge in BIM Models with Machine Learning

    DEFF Research Database (Denmark)

    Krijnen, Thomas; Tamke, Martin

    2015-01-01

    architects and engineers are able to deduce non-explicitly explicitly stated information, which is often the core of the transported architectural information. This paper investigates how machine learning approaches allow a computational system to deduce implicit knowledge from a set of BIM models.......The promise, which comes along with Building Information Models, is that they are information rich, machine readable and represent the insights of multiple building disciplines within single or linked models. However, this knowledge has to be stated explicitly in order to be understood. Trained...

  2. Assessing Implicit Knowledge in BIM Models with Machine Learning

    DEFF Research Database (Denmark)

    Krijnen, Thomas; Tamke, Martin

    2015-01-01

    architects and engineers are able to deduce non-explicitly explicitly stated information, which is often the core of the transported architectural information. This paper investigates how machine learning approaches allow a computational system to deduce implicit knowledge from a set of BIM models.......The promise, which comes along with Building Information Models, is that they are information rich, machine readable and represent the insights of multiple building disciplines within single or linked models. However, this knowledge has to be stated explicitly in order to be understood. Trained...

  3. The knowledge-based economy modeled, measured, simulated

    CERN Document Server

    Leydesdorff, Loet

    2006-01-01

    "Challenging, theoretically rich yet anchored in detailed empirical analysis, Loet Leydesdorff's exploration of the dynamics of the knowledge-economy is a major contribution to the field. Drawing on his expertise in science and technology studies, systems theory, and his internationally respected work on the 'triple helix', the book provides a radically new modelling and simulation of knowledge systems, capturing the articulation of structure, communication, and agency therein. This work will be of immense interest to both theorists of the knowledge-economy and practitioners in science policy." Andrew Webster Science & Technology Studies, University of York, UK

  4. Model of knowledge management in mobile systems used for training

    Directory of Open Access Journals (Sweden)

    Chadwick CARRETO ARELLANO

    2014-11-01

    Full Text Available This work shows the development of a Knowledge Management Model (MAC applied to the training process in mobile devices for ease of use and access of different types of users to relevant information (anywhere and anytime. The MAC permit to manage knowledge, so that helps in the process of collection, classification and search of information according to a profile and academic needs as well as services related to the transformation of data and information for knowledge generation. The MAC aims to provide users, tools for skills development and allow the development of the training process with the use of limited capacity device with Internet connection.

  5. DOCUMENTING OF THE PROCESS OF ACCUMULATION OF KNOWLEDGE AND DEVELOPMENT OF THE INTELLECTUAL HUMAN CAPITAL

    Directory of Open Access Journals (Sweden)

    Yermolenko V. V.

    2015-06-01

    Full Text Available The problem of documenting of process of accumulation of knowledge and development of the intellectual human capital is considered in this article. The purpose of the article is the research of theoretical approaches of documenting of process of accumulation of knowledge, development of the intellectual human capital and the analysis of domestic public corporations on documenting of process of accumulation of knowledge. The solution of research tasks in article is proposed: the analysis of the contents of theories of development of the human capital in the conditions of economy of knowledge is carried out; domestic practice of public corporations on documenting of process of accumulation of knowledge is studied; features of documenting of knowledge as maintenance of development of the human capital are marked out. The particular emphasis in the article is placed on disclosure of such problems, as: methodological and theoretical aspects of development of the intellectual human capital; formation of mechanisms and ways of documenting of knowledge in the conditions of knowledge economy; formation of corporate institutes of formation and the development of the intellectual human capital, realizing reproduction of the intellectual capital and engineering of knowledge; formation of organizational innovations and dumping of old organizational routines. Documenting of knowledge is presented as maintenance of development of the human capital, the project of introduction of knowledge management and its documentary maintenance in corporations, and also ways of network documenting of knowledge of the human capital in the process of joint design activity is offered. Development of a special control system and its organizational and methodical providing which will allow to increase efficiency of work with documents during projects of development of the intellectual human capital is necessary for management of the documentary massif of knowledge of the

  6. International Business Models Developed Through Brokerage Knowledge and Value Creation

    DEFF Research Database (Denmark)

    Petersen, Nicolaj Hannesbo; Rasmussen, Erik Stavnsager

    This paper highlights theoretically and empirically international business model decisions in networks with knowledge sharing and value creation. The paper expands the conceptual in-ternational business model framework for technology-oriented companies to include the focal firm’s network role...

  7. Engineering large animal models of human disease.

    Science.gov (United States)

    Whitelaw, C Bruce A; Sheets, Timothy P; Lillico, Simon G; Telugu, Bhanu P

    2016-01-01

    The recent development of gene editing tools and methodology for use in livestock enables the production of new animal disease models. These tools facilitate site-specific mutation of the genome, allowing animals carrying known human disease mutations to be produced. In this review, we describe the various gene editing tools and how they can be used for a range of large animal models of diseases. This genomic technology is in its infancy but the expectation is that through the use of gene editing tools we will see a dramatic increase in animal model resources available for both the study of human disease and the translation of this knowledge into the clinic. Comparative pathology will be central to the productive use of these animal models and the successful translation of new therapeutic strategies.

  8. Human Adaptive Mechatronics and Human-System Modelling

    Directory of Open Access Journals (Sweden)

    Satoshi Suzuki

    2013-03-01

    Full Text Available Several topics in projects for mechatronics studies, which are ʹHuman Adaptive Mechatronics (HAMʹ and ʹHuman‐System Modelling (HSMʹ, are presented in this paper. The main research theme of the HAM project is a design strategy for a new intelligent mechatronics system, which enhances operatorsʹ skills during machine operation. Skill analyses and control system design have been addressed. In the HSM project, human modelling based on hierarchical classification of skills was studied, including the following five types of skills: social, planning, cognitive, motion and sensory‐motor skills. This paper includes digests of these research topics and the outcomes concerning each type of skill. Relationships with other research activities, knowledge and information that will be helpful for readers who are trying to study assistive human‐mechatronics systems are also mentioned.

  9. Organizing conceptual knowledge in humans with a gridlike code

    NARCIS (Netherlands)

    Constantinescu, A.O.; O'Reilly, J.X.; Behrens, T.E.J.

    2016-01-01

    Grid cells are thought to provide the neuronal code that underlies spatial knowledge in the brain. Grid cells have mostly been studied in the context of path integration. However, recent theoretical studies have suggested that they may have a broader role in the organization of general knowledge. Co

  10. Organizing conceptual knowledge in humans with a gridlike code

    NARCIS (Netherlands)

    Constantinescu, A.O.; O'Reilly, J.X.; Behrens, T.E.J.

    2016-01-01

    Grid cells are thought to provide the neuronal code that underlies spatial knowledge in the brain. Grid cells have mostly been studied in the context of path integration. However, recent theoretical studies have suggested that they may have a broader role in the organization of general knowledge.

  11. Modeling human craniofacial disorders in Xenopus.

    Science.gov (United States)

    Dubey, Aditi; Saint-Jeannet, Jean-Pierre

    2017-03-01

    Craniofacial disorders are among the most common human birth defects and present an enormous health care and social burden. The development of animal models has been instrumental to investigate fundamental questions in craniofacial biology and this knowledge is critical to understand the etiology and pathogenesis of these disorders. The vast majority of craniofacial disorders arise from abnormal development of the neural crest, a multipotent and migratory cell population. Therefore, defining the pathogenesis of these conditions starts with a deep understanding of the mechanisms that preside over neural crest formation and its role in craniofacial development. This review discusses several studies using Xenopus embryos to model human craniofacial conditions, and emphasizes the strength of this system to inform important biological processes as they relate to human craniofacial development and disease.

  12. A dynamic knowledge model for water management in maize

    Institute of Scientific and Technical Information of China (English)

    GUO Yinqiao; LIN Yuping; ZHAO Chuande; WANG Wenxin; LI Cundong

    2007-01-01

    Farmland irrigation management and model establishment are always core and difficult contents in crop simulation.This research was focused on exerting the establishment theory of knowledge model,and applying the systematic analysis method and mathematic modeling technology to knowledge expression system of maize water management.Based on soil water balance,a dynamic knowledge model with systematic and wide-application characteristics for maize water management was developed,after periodically quantifying the relationship of irrigation ration between cultivars' characteristics and environmental factors.Cases were studied on the knowledge model with the data sets of normal year in different eco-sites and those of different rain years in the same eco-sites.The results showed that there was no difference in water saving in normal years under different eco-sites,irrigation schedule changes with eco-sites greatly;but a more obvious difference in different rain years of the same eco-sites existing,with 8.6% and 31.9% of water saving in both more rainfall and normal rainfall years,respectively.Additionally,irrigation in the seedling stage did not change with year types,but it did in Knurling and filling stages.This can be concluded that the irrigation regime designed by the model is well coherent to the actual planting system,which indicated that the model had good decision-making and applicability.

  13. Design, Measurement and Analysis of a Knowledge Management Model in the Context of a Mexican University

    Directory of Open Access Journals (Sweden)

    Gibrán Rivera

    2015-12-01

    Full Text Available The paper aims to design and apply a Knowledge Management (KM model within the context of a Higher Education (HE institution in Mexico. The model is composed of six enablers: leadership, culture, structure, human resources, information technologies and measurement, which facilitate the processes of knowledge creation, storage, transfer and application. A 53-question survey applied to thirty-six (36 people allowed to evaluate the degree of development and implementation of knowledge enablers and processes. Objectivity, reliability and overall model fit were assessed. The application of the Model serves to highlight the core role that cultural, human and structural aspects play in Knowledge Management processes. Whereas Information Technologies are the least influential to Knowledge Management processes. This paper was limited to examine the perceptions of the Board of Directors of a single university. It is yet to be tested in other institutions. Moreover, the resulting model can be used as an assessment tool in Higher Education Institutions to identify the key elements during a KM initiative as well as to define actions to obtain the greatest benefits from these initiatives.

  14. Modeling and Robustness of Knowledge Network in Supply Chain

    Institute of Scientific and Technical Information of China (English)

    王道平; 沈睿芳

    2014-01-01

    The growth and evolution of the knowledge network in supply chain can be characterized by dynamic growth clustering and non-homogeneous degree distribution. The networks with the above characteristics are also known as scale-free networks. In this paper, the knowledge network model in supply chain is established, in which the preferential attachment mechanism based on the node strength is adopted to simulate the growth and evolution of the network. The nodes in the network have a certain preference in the choice of a knowledge partner. On the basis of the network model, the robustness of the three network models based on different preferential attachment strategies is in-vestigated. The robustness is also referred to as tolerances when the nodes are subjected to random destruction and malicious damage. The simulation results of this study show that the improved network has higher connectivity and stability.

  15. Knowledge model-based decision support system for maize management

    Institute of Scientific and Technical Information of China (English)

    GUO Yinqiao; ZHAO Chuande; WANG Wenxin; LI Cundong

    2007-01-01

    Based on the relationship between crops and circumstances,a dynamic knowledge model for maize management with wide applicability was developed using the system method and mathematical modeling technique.With soft component characteristics incorporated,a component and digital knowledge model-based decision support system for maize management was established on the Visual C++platform.This system realized six major functions:target yield calculation,design of pre-sowing plan,prediction of regular indices,real-time management control,expert knowledge reference and system administration.Cases were studied on the target yield knowledge model with data sets that include different eco-sites,yield levels of the last three years,and fertilizer and water management levels.The results indicated that this system overcomes the shortcomings of traditional expert systems and planting patterns,such as sitespecific conditions and narrow applicability,and can be used more under different conditions and environments.This system provides a scientific knowledge system and a broad decision-making tool for maize management.

  16. Using competence modeling to create knowledge engineering team

    OpenAIRE

    2006-01-01

    The present paper is about applying competence modeling for a knowledge engineer in the case of the company WBSA Sistemas Inteligentes S.A. The process was based on Lucia and Lepsinger model, by which competences are characterized through the identification of situations and behaviors considered relevant to the engineer performance. As one of the different techniques suggested by the model for collecting data, a number of individual interviews were undertaken and at the end it was defined and...

  17. Implications of Human Pattern Processing for the Design of Artificial Knowledge Systems.

    Science.gov (United States)

    Hayes-Roth, Barbara

    This paper presents evidence that four design principles commonly embodied in artificial knowledge systems are inconsistent with human cognitive capabilities. Because these principles are widely accepted as characteristics of human knowledge processing, common theoretical properties related to cognitive psychology and artificial intelligence which…

  18. A Description Logic Based Knowledge Representation Model for Concept Understanding

    DEFF Research Database (Denmark)

    Badie, Farshad

    2018-01-01

    This research employs Description Logics in order to focus on logical description and analysis of the phenomenon of ‘concept understanding’. The article will deal with a formal-semantic model for figuring out the underlying logical assumptions of ‘concept understanding’ in knowledge representation...... systems. In other words, it attempts to describe a theoretical model for concept understanding and to reflect the phenomenon of ‘concept understanding’ in terminological knowledge representation systems. Finally, it will design an ontology that schemes the structure of concept understanding based...

  19. Teenagers’ knowledge of human sexuality and their views on teenage pregnancies

    Directory of Open Access Journals (Sweden)

    P. J. Kunene

    1995-05-01

    Full Text Available There is concern about poor knowledge of human sexuality and a high rate of teenage pregnancies among Blacks. The primary aim of the study was to measure the knowledge that teenagers have on human sexuality and to identify the sources from which they obtain such knowledge. The secondary aim was to detect how teenagers perceive the teenage pregnancy problem and its consequences,

  20. The Relationship between Humanness and Knowledge Sharing in Malaysia Empirical Evidence from Malaysian Managers

    Directory of Open Access Journals (Sweden)

    Ilona H. Boom

    2012-05-01

    Full Text Available This paper explores whether there is a relationship between humanness and the willingness to share knowledge in Malaysia. Furthermore, the differences between the Malay, Chinese and Indian ethnicities are researched for the presence of humanness and the willingness to share knowledge. Two hundred and fourteen respondents from privately owned companies participated in this research showing that there is a strong relationship between humanness and knowledge sharing. However, the differences between the three ethnicities are small, which is a surprising finding. It can be concluded that people-oriented managers (one of the ways to express humanness are more willing to share knowledge, and differences between ethnicities have no influence in this matter. From these results, it can be recommended to managers and organizations in Malaysia that they pay more attention and be aware of their management style.Stressing the humanness aspects more as they are described could improve the knowledge transfer within companies.

  1. Dynamics of group knowledge production in facilitated modelling workshops

    DEFF Research Database (Denmark)

    Tavella, Elena; Franco, L. Alberto

    2015-01-01

    The term ‘facilitated modelling’ is used in the literature to characterise an approach to structuring problems, developing options and evaluating decisions by groups working in a model-supported workshop environment, and assisted by a facilitator. The approach involves an interactive process...... by which models are jointly developed with group members interacting face-to-face, with or without computer support. The models produced are used to inform negotiations about the nature of the issues faced by the group, and how to address them. While the facilitated modelling literature is impressive...... the form of three distinct group knowledge production patterns: generative, collaborative and assertive. Further, each pattern is characterised by a particular mix of communicative behaviours and model-supported interactions that has implications for the creation of new knowledge within the workshop. Our...

  2. MAS architecture and knowledge model for vehicles data communication

    Directory of Open Access Journals (Sweden)

    Emmanuel ADAM

    2012-07-01

    Full Text Available Normal 0 21 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Completely autonomous vehicles in traffic should allow to decrease the number of road accident victims greatly, and should allow gains in terms of performance and economy. Modelling the vehicles interaction, and especially knowledge sharing, is one of the main challenges to optimize traffic flow with autonomous vehicles. We propose in this paper a model of knowledge communication between mobile agents on a traffic network. The model of knowledge and of interaction enables to propagate new knowledge without overloading the system with a too large number of communications. For that, only the new knowledge is communicated, and two agents communicate the same knowledge only once. Moreover, in order to allow agents to update their knowledge (perceived or created, a notion of degradation is used. A simulator has been built to evaluate the proposal, before to implement it in mobile robots. Some results of the simulator are proposed in this article.

  3. MAS architecture and knowledge model for vehicles data communication

    Directory of Open Access Journals (Sweden)

    René MANDIAU

    2013-07-01

    Full Text Available Normal 0 21 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Completely autonomous vehicles in traffic should allow to decrease the number of road accident victims greatly, and should allow gains in terms of performance and economy. Modelling the vehicles interaction, and especially knowledge sharing, is one of the main challenges to optimize traffic flow with autonomous vehicles. We propose in this paper a model of knowledge communication between mobile agents on a traffic network. The model of knowledge and of interaction enables to propagate new knowledge without overloading the system with a too large number of communications. For that, only the new knowledge is communicated, and two agents communicate the same knowledge only once. Moreover, in order to allow agents to update their knowledge (perceived or created, a notion of degradation is used. A simulator has been built to evaluate the proposal, before to implement it in mobile robots. Some results of the simulator are proposed in this article.

  4. A Knowledge Model System for Wheat Production Management

    Institute of Scientific and Technical Information of China (English)

    ZHU Yan; CAO Wei-Xing; DAI Ting-Bo; TIAN Yong-Chao; YAO Xia

    2007-01-01

    A knowledge model with temporal and spatial characteristics for the quantitative design of a cultural pattern in wheat production,using systems analysis and dynamic modeling techniques,was developed for wheat management,as a decision-making tool in digital farming.The fundamental relationships and algorithms of wheat growth indices and management criteria to cultivars,ecological environments,and production levels were derived from the existing literature and research data to establish a knowledge model system for quantitative wheat management using Visual C++.The system designed a cultural management plan for general management guidelines and crop regulation indices for timecourse control criteria during the wheat-growing period.The cultural management plan module included submodels to determine target grain yield and quality,cultivar choice,sowing date,population density,sowing rate,fertilization strategy,and Water management,whereas the crop regulation indices module included submodels for suitable development stages,dynamic growth indices,source-sink indices,and nutrient indices.Evaluation of the knowledge model by design studies on the basis of data sets of different eco-sites,cultivars,and soil types indicated a favorable performance of the model system in recommending growth indices and management criteria under diverse conditions.Practical application of the knowledge model system in comparative field experiments produced yield gains of 2.4%to 16.5%.Thus,the presented knowledge model system overcame some of the difficulties of the traditional wheat management patterns and expert systems,and laid a foundation for facilitating the digitization of wheat management.

  5. Integration of preclinical and clinical knowledge to predict intravenous PK in human: bilastine case study.

    Science.gov (United States)

    Vozmediano, Valvanera; Ortega, Ignacio; Lukas, John C; Gonzalo, Ana; Rodriguez, Monica; Lucero, Maria Luisa

    2014-03-01

    Modern pharmacometrics can integrate and leverage all prior proprietary and public knowledge. Such methods can be used to scale across species or comparators, perform clinical trial simulation across alternative designs, confirm hypothesis and potentially reduce development burden, time and costs. Crucial yet typically lacking in integration is the pre-clinical stage. Prediction of PK in man, using in vitro and in vivo studies in different animal species, is increasingly well theorized but could still find wider application in drug development. The aim of the present work was to explore methods for bridging pharmacokinetic knowledge from animal species (i.v. and p.o.) and man (p.o.) into i.v. in man using the antihistamine drug bilastine as example. A model, predictive of i.v. PK in man, was developed on data from two pre-clinical species (rat and dog) and p.o. in man bilastine trials performed earlier. In the knowledge application stage, two different approaches were used to predict human plasma concentration after i.v. of bilastine: allometry (several scaling methods) and a semi-physiological method. Both approaches led to successful predictions of key i.v. PK parameters of bilastine in man. The predictive i.v. PK model was validated using later data from a clinical study of i.v. bilastine. Introduction of such knowledge in development permits proper leveraging of all emergent knowledge as well as quantification-based exploration of PK scenario, e.g. in special populations (pediatrics, renal insufficiency, comedication). In addition, the methods permit reduction or elimination and certainly optimization of learning trials, particularly those concerning alternative off-label administration routes.

  6. PROCESS DOCUMENTATION: A MODEL FOR KNOWLEDGE MANAGEMENT IN ORGANIZATIONS.

    Science.gov (United States)

    Haddadpoor, Asefeh; Taheri, Behjat; Nasri, Mehran; Heydari, Kamal; Bahrami, Gholamreza

    2015-10-01

    Continuous and interconnected processes are a chain of activities that turn the inputs of an organization to its outputs and help achieve partial and overall goals of the organization. These activates are carried out by two types of knowledge in the organization called explicit and implicit knowledge. Among these, implicit knowledge is the knowledge that controls a major part of the activities of an organization, controls these activities internally and will not be transferred to the process owners unless they are present during the organization's work. Therefore the goal of this study is identification of implicit knowledge and its integration with explicit knowledge in order to improve human resources management, physical resource management, information resource management, training of new employees and other activities of Isfahan University of Medical Science. The project for documentation of activities in department of health of Isfahan University of Medical Science was carried out in several stages. First the main processes and related sub processes were identified and categorized with the help of planning expert. The categorization was carried out from smaller processes to larger ones. In this stage the experts of each process wrote down all their daily activities and organized them into general categories based on logical and physical relations between different activities. Then each activity was assigned a specific code. The computer software was designed after understanding the different parts of the processes, including main and sup processes, and categorization, which will be explained in the following sections. The findings of this study showed that documentation of activities can help expose implicit knowledge because all of inputs and outputs of a process along with the length, location, tools and different stages of the process, exchanged information, storage location of the information and information flow can be identified using proper

  7. Modeling Semantic and Structural Knowledge in Web Navigation

    Science.gov (United States)

    Juvina, Ion; van Oostendorp, Herre

    2008-01-01

    Research on cognitive modeling of information search and Web navigation emphasizes the importance of "information scent" (the relevance of semantic cues such as link labels and headings to a reader's goal; Pirolli & Card, 1999). This article shows that not only semantic but also structural knowledge is involved in navigating the Web (Juvina,…

  8. Advanced quality prediction model for software architectural knowledge sharing

    NARCIS (Netherlands)

    Liang, Peng; Jansen, Anton; Avgeriou, Paris; Tang, Antony; Xu, Lai

    2011-01-01

    In the field of software architecture, a paradigm shift is occurring from describing the outcome of architecting process to describing the Architectural Knowledge (AK) created and used during architecting. Many AK models have been defined to represent domain concepts and their relationships, and the

  9. An Integrated Model for Effective Knowledge Management in Chinese Organizations

    Science.gov (United States)

    An, Xiaomi; Deng, Hepu; Wang, Yiwen; Chao, Lemen

    2013-01-01

    Purpose: The purpose of this paper is to provide organizations in the Chinese cultural context with a conceptual model for an integrated adoption of existing knowledge management (KM) methods and to improve the effectiveness of their KM activities. Design/methodology/approaches: A comparative analysis is conducted between China and the western…

  10. A Proposed Model of Jazz Theory Knowledge Acquisition

    Science.gov (United States)

    Ciorba, Charles R.; Russell, Brian E.

    2014-01-01

    The purpose of this study was to test a hypothesized model that proposes a causal relationship between motivation and academic achievement on the acquisition of jazz theory knowledge. A reliability analysis of the latent variables ranged from 0.92 to 0.94. Confirmatory factor analyses of the motivation (standardized root mean square residual…

  11. Upper Secondary Teachers' Knowledge for Teaching Chemical Bonding Models

    Science.gov (United States)

    Bergqvist, Anna; Drechsler, Michal; Chang Rundgren, Shu-Nu

    2016-01-01

    Researchers have shown a growing interest in science teachers' professional knowledge in recent decades. The article focuses on how chemistry teachers impart chemical bonding, one of the most important topics covered in upper secondary school chemistry courses. Chemical bonding is primarily taught using models, which are key for understanding…

  12. A Proposed Model of Jazz Theory Knowledge Acquisition

    Science.gov (United States)

    Ciorba, Charles R.; Russell, Brian E.

    2014-01-01

    The purpose of this study was to test a hypothesized model that proposes a causal relationship between motivation and academic achievement on the acquisition of jazz theory knowledge. A reliability analysis of the latent variables ranged from 0.92 to 0.94. Confirmatory factor analyses of the motivation (standardized root mean square residual…

  13. Fuzzy modeling of farmers' knowledge for land suitability classification

    NARCIS (Netherlands)

    Sicat, R.S.; Carranza, E.J.M.; Nidumolu, U.B.

    2005-01-01

    In a case study, we demonstrate fuzzy modeling of farmers' knowledge (FK) for agricultural land suitability classification using GIS. Capture of FK was through rapid rural participatory approach. The farmer respondents consider, in order of decreasing importance, cropping season, soil color, soil te

  14. Mathematical models of human behavior

    DEFF Research Database (Denmark)

    Møllgaard, Anders Edsberg

    data set, along with work on other behavioral data. The overall goal is to contribute to a quantitative understanding of human behavior using big data and mathematical models. Central to the thesis is the determination of the predictability of different human activities. Upper limits are derived......, thereby implying that interactions between spreading processes are driving forces of attention dynamics. Overall, the thesis contributes to a quantitative understanding of a wide range of different human behaviors by applying mathematical modeling to behavioral data. There can be no doubt......During the last 15 years there has been an explosion in human behavioral data caused by the emergence of cheap electronics and online platforms. This has spawned a whole new research field called computational social science, which has a quantitative approach to the study of human behavior. Most...

  15. Research on Knowledge-based Connecting Elements Modeling

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Steps of manipulation is required to complete the m od eling of the connection elements such as bolt, pin and the like in commerce CAD system. It leads to low efficiency, difficulty to assure the relative position, impossibility to express rules and knowledge. Based on the inner character analy sis of interpart, detail modification and assembly relation of mechanical connec ting element, the idea, which extends the feature modeling of part to the interp art feature modeling for assembly purpose, is presen...

  16. Pediatricians' intention to administer human papillomavirus vaccine: the role of practice characteristics, knowledge, and attitudes.

    Science.gov (United States)

    Kahn, Jessica A; Zimet, Gregory D; Bernstein, David I; Riedesel, Jeremy M; Lan, Dongmei; Huang, Bin; Rosenthal, Susan L

    2005-12-01

    The objective of this study was to examine pediatrician characteristics and attitudes associated with intention to recommend two hypothetical human papillomavirus (HPV) vaccines. A survey instrument mailed to a random sample of 1000 pediatricians assessed provider characteristics, HPV knowledge, and attitudes about HPV vaccination. Intention to administer each of two HPV vaccines types (a cervical cancer/genital wart vaccine and a cervical cancer vaccine) to girls and boys of three different ages (11, 14, and 17 years) was assessed. Linear mixed modeling for repeated measures and multivariable linear regression models were performed to identify variables associated with intention to recommend vaccination. The mean age of participants (n = 513) was 42 years and 57% were female. Participants were more likely to recommend vaccination to girls vs. boys and older vs. younger children, and were more likely to recommend a cervical cancer/genital wart vaccine than a cervical cancer vaccine (p HPV knowledge (beta 1.079, p = .015), likelihood of following the recommendations of important individuals and organizations regarding immunization (beta .834, p = .001), and fewer perceived barriers to immunization (beta -.203, p = .001). Vaccination initiatives directed toward pediatricians that focus on modifiable predictors of intention to vaccinate, such as HPV knowledge and attitudes about vaccination, may facilitate adherence to emerging national immunization guidelines.

  17. Double-edged sword of interdisciplinary knowledge flow from hard sciences to humanities and social sciences: Evidence from China.

    Science.gov (United States)

    Liu, Meijun; Shi, Dongbo; Li, Jiang

    2017-01-01

    Humanities and Social Sciences (HSS) increasingly absorb knowledge from Hard Sciences, i.e., Science, Technology, Agriculture and Medicine (STAM), as testified by a growing number of citations. However, whether citing more Hard Sciences brings more citations to HSS remains to be investigated. Based on China's HSS articles indexed by the Web of Science during 1998-2014, this paper estimated two-way fixed effects negative binomial models, with journal effects and year effects. Findings include: (1) An inverse U-shaped curve was observed between the percentage of STAM references to the HSS articles and the number of citations they received; (2) STAM contributed increasing knowledge to China's HSS, while Science and Technology knowledge contributed more citations to HSS articles. It is recommended that research policy should be adjusted to encourage HSS researchers to adequately integrate STAM knowledge when conducting interdisciplinary research, as over-cited STAM knowledge may jeopardize the readability of HSS articles.

  18. Socio-optics: optical knowledge applied in modeling social phenomena

    Science.gov (United States)

    Chisleag, Radu; Chisleag Losada, Ioana-Roxana

    2011-05-01

    The term "Socio-optics" (as a natural part of Socio-physics), is rather not found in literature or at Congresses. In Optics books, there are not made references to optical models applied to explain social phenomena, in spite of Optics relying on the duality particle-wave which seems convenient to model relationships among society and its members. The authors, who have developed a few models applied to explain social phenomena based on knowledge in Optics, along with a few other models applying, in Social Sciences, knowledge from other branches of Physics, give their own examples of such optical models, f. e., of relationships among social groups and their sub-groups, by using kowledge from partially coherent optical phenomena or to explain by tunnel effect, the apparently impossible penetration of social barriers by individuals. They consider that the term "Socio-optics" may come to life. There is mentioned the authors' expertise in stimulating Socio-optics approach by systematically asking students taken courses in Optics to find applications of the newly got Wave and Photon Optics knowledge, to model social and even everyday life phenomena, eventually engaging in such activities other possibly interested colleagues.

  19. "Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process

    Energy Technology Data Exchange (ETDEWEB)

    Sanfilippo, Antonio P.; Nibbs, Faith G.

    2007-08-24

    While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.

  20. Integrating experiences from operations into engineering design: modelling knowledge transfer in the offshore oil industry

    DEFF Research Database (Denmark)

    Souza da Conceição, Carolina; Broberg, Ole; Paravizo, Esdras

    2017-01-01

    and workwise distance between operations and engineering design teams, integrating human factors and transferring knowledge are key aspects when designing for better performance systems. Research Objective: Based on an in-depth empirical investigation in an offshore oil company, this study aims to provide......Summative Statement: Integrating human factors and users’ experiences in design projects is a well-known challenge. This study focus on the specific challenges for transferring these experiences and how using a knowledge transfer model can help this integration on the design of high-risk productive...... a framework for the knowledge transfer process from operations into engineering design that helps identifying and facing the challenges for such a transfer process. Methodology: The study was carried out as a case study in an offshore oil company. We used the empirical data collected through interviews...

  1. A natural human hand model

    NARCIS (Netherlands)

    Van Nierop, O.A.; Van der Helm, A.; Overbeeke, K.J.; Djajadiningrat, T.J.P.

    2007-01-01

    We present a skeletal linked model of the human hand that has natural motion. We show how this can be achieved by introducing a new biology-based joint axis that simulates natural joint motion and a set of constraints that reduce an estimated 150 possible motions to twelve. The model is based on obs

  2. Cervical Cancer and Human Papilloma Virus Knowledge and ...

    African Journals Online (AJOL)

    AJRH Managing Editor

    is a global public health issue as it is the second most common ... HPV infection and its relation to cervical cancer. Some previous ..... obtained their knowledge mostly from the media ... findings from a study carried out in India where. 82% of ...

  3. Book review: Pragmatic humanism: on the nature and value of sociological knowledge by Marcus Morgan

    OpenAIRE

    2016-01-01

    In Pragmatic Humanism: On the Nature and Value of Sociological Knowledge, Marcus Morgan positions sociology not as a science of society, but as a discipline of humanity. Rather than resurrect a problematic, classical conception of humanism, Morgan instead engages with past and contemporary critiques of humanist thought to position humanism as a pragmatic approach to sociology that draws on human action as a tool for progressive social change. Adam Carter heartily recommends this invigorating ...

  4. The R Package bgmm : Mixture Modeling with Uncertain Knowledge

    Directory of Open Access Journals (Sweden)

    Przemys law Biecek

    2012-04-01

    Full Text Available Classical supervised learning enjoys the luxury of accessing the true known labels for the observations in a modeled dataset. Real life, however, poses an abundance of problems, where the labels are only partially defined, i.e., are uncertain and given only for a subsetof observations. Such partial labels can occur regardless of the knowledge source. For example, an experimental assessment of labels may have limited capacity and is prone to measurement errors. Also expert knowledge is often restricted to a specialized area and is thus unlikely to provide trustworthy labels for all observations in the dataset. Partially supervised mixture modeling is able to process such sparse and imprecise input. Here, we present an R package calledbgmm, which implements two partially supervised mixture modeling methods: soft-label and belief-based modeling. For completeness, we equipped the package also with the functionality of unsupervised, semi- and fully supervised mixture modeling. On real data we present the usage of bgmm for basic model-fitting in all modeling variants. The package can be applied also to selection of the best-fitting from a set of models with different component numbers or constraints on their structures. This functionality is presented on an artificial dataset, which can be simulated in bgmm from a distribution defined by a given model.

  5. Linking knowledge and action through mental models of sustainable agriculture.

    Science.gov (United States)

    Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

    2014-09-01

    Linking knowledge to action requires understanding how decision-makers conceptualize sustainability. This paper empirically analyzes farmer "mental models" of sustainability from three winegrape-growing regions of California where local extension programs have focused on sustainable agriculture. The mental models are represented as networks where sustainability concepts are nodes, and links are established when a farmer mentions two concepts in their stated definition of sustainability. The results suggest that winegrape grower mental models of sustainability are hierarchically structured, relatively similar across regions, and strongly linked to participation in extension programs and adoption of sustainable farm practices. We discuss the implications of our findings for the debate over the meaning of sustainability, and the role of local extension programs in managing knowledge systems.

  6. Kinds of Knowledge-Telling: Modeling early writing development

    Directory of Open Access Journals (Sweden)

    John R. Hayes

    2011-12-01

    Full Text Available The thesis of this article is that Bereiter and Scardamalia's (1987 knowledge-telling strategy may be viewed as a family of strategies. In particular, when young writers compose expository themes from their own knowledge, they may use one of three writing strategies: a flexible-focus strategy, a fixed-topic strategy, or a topic-elaboration strategy, all of which may be viewed as kinds of knowledge-telling. The article then proposes models to characterize the organization of cognitive processes in each strategy. The three writing strategies produce texts with identifiably different topical structures. Finally, the article provides evidence based on texts written by children in grades one through nine to indicate that the three strategies have distinct developmental trajectories.

  7. Knowledges

    DEFF Research Database (Denmark)

    Berling, Trine Villumsen

    2012-01-01

    and reflectivism. Bourdieu, on the contrary, lets the challenge to the theory/reality distinction spill over into a challenge to the theory/practice distinction by thrusting the scientist in the foreground as not just a factor (discourse/genre) but as an actor. In this way, studies of IR need to include a focus......Scientific knowledge in international relations has generally focused on an epistemological distinction between rationalism and reflectivism over the last 25 years. This chapter argues that this distinction has created a double distinction between theory/reality and theory/practice, which works...... as a ghost distinction structuring IR research. While reflectivist studies have emphasised the impossibility of detached, objective knowledge production through a dissolution of the theory/reality distinction, the theory/practice distinction has been left largely untouched by both rationalism...

  8. Mathematical models of human behavior

    DEFF Research Database (Denmark)

    Møllgaard, Anders Edsberg

    During the last 15 years there has been an explosion in human behavioral data caused by the emergence of cheap electronics and online platforms. This has spawned a whole new research field called computational social science, which has a quantitative approach to the study of human behavior. Most...... studies have considered data sets with just one behavioral variable such as email communication. The Social Fabric interdisciplinary research project is an attempt to collect a more complete data set on human behavior by providing 1000 smartphones with pre-installed data collection software to students...... data set, along with work on other behavioral data. The overall goal is to contribute to a quantitative understanding of human behavior using big data and mathematical models. Central to the thesis is the determination of the predictability of different human activities. Upper limits are derived...

  9. Capital-centric versus knowledge-centric paradigms of human resource management: A historical perspective

    Directory of Open Access Journals (Sweden)

    Chris W. Callaghan

    2016-03-01

    Full Text Available Orientation: Central to understanding the contemporary state of the human resource management (HRM field is knowledge of its history, and the underlying rationales as to why it has changed over time. This research attempts to identify one such important ‘rationale’.Research purpose: This article relates certain changes in HRM over time to the argument that there has been a shift from an industrial paradigm (on which many human resource [HR] systems, practices and theoretical frameworks are still based to a knowledge paradigm (of knowledge work, in which employee knowledge and skills offer compound advantages that are not substitutable which explains a great deal of the variance in changes of the field over time.Motivation for the study: It is argued that in order for the field to move forward, it may needto bring to the surface certain assumptions and differentiate between theoretical frameworkswhen dealing with knowledge work versus non-knowledge work.Research design, approach and method: This article offers a perspective of HR theory development over time. It is a conceptual/perspectives article and is not qualitative nor quantitative in nature. Further research will be able to test the ideas presented here.Practical/managerial implications: Managers and human resources managers need to differentiate between knowledge and non-knowledge work. The latter is associated with increased heterogeneity and complexity, and differences in power relationships, as knowledge work shifts power away from capital into the hands of skilled knowledge labour.

  10. Knowledge-Intensive Entrepreneurship and the Impact of Human Capital

    DEFF Research Database (Denmark)

    Madsen, Henning; Neergaard, Helle; Ulhøi, John Parm

    2002-01-01

    The purpose of this paper is to address selected aspects of human capital in association with the entrepreneurial process in technology-based new ventures. Until recently, research investigating the founding of new businesses has mainly focused on the personal characteristics of entrepreneurs...... of a newly founded venture. Furthermore, the dimensions of human capital, experience and previous employment, seem to be essential in building the networks that help secure both the early as well as a continuous pool of finance for the ventures....

  11. Knowledge assessment of Cienfuegos´ health workers on human toxocariasis.

    Directory of Open Access Journals (Sweden)

    Martina S. Jiménez Suárez

    2008-08-01

    Full Text Available Background: Human toxocariasis is one of the most worldwide extended zoonosis. It mainly affects children and it is not always well known by medical staff. Objective: To assess knowledge of Cienfuegos´s health workers on human toxocariasis. Method: A descriptive cross-sectional study was developed from May to September 2005 and a survey was applied to a total sample of 51 doctors through a randomized, stratified sampling. In addition to consider professional category, years of experience and knowledge on zoonosis, we analyzed different aspects the form the variable general knowledge on human toxocariasis. Findings: We could develop a knowledge assessment on toxocariasis in Cienfuegos´ doctors. These findings were compared with surveys in other countries. There is not history of this kind of research in Cuba. Conclusions: Cienfuegos´ doctors knowledge on toxocariasis diagnosis, transmission, and prevention and not satisfactory except for clinic and treatment.

  12. The Meta-Ontology Model of the Fishdisease Diagnostic Knowledge Based on Owl

    Science.gov (United States)

    Shi, Yongchang; Gao, Wen; Hu, Liang; Fu, Zetian

    For improving available and reusable of knowledge in fish disease diagnosis (FDD) domain and facilitating knowledge acquisition, an ontology model of FDD knowledge was developed based on owl according to FDD knowledge model. It includes terminology of terms in FDD knowledge and hierarchies of their class.

  13. Modeling patient safety incidents knowledge with the Categorial Structure method.

    Science.gov (United States)

    Souvignet, Julien; Bousquet, Cédric; Lewalle, Pierre; Trombert-Paviot, Béatrice; Rodrigues, Jean Marie

    2011-01-01

    Following the WHO initiative named World Alliance for Patient Safety (PS) launched in 2004 a conceptual framework developed by PS national reporting experts has summarized the knowledge available. As a second step, the Department of Public Health of the University of Saint Etienne team elaborated a Categorial Structure (a semi formal structure not related to an upper level ontology) identifying the elements of the semantic structure underpinning the broad concepts contained in the framework for patient safety. This knowledge engineering method has been developed to enable modeling patient safety information as a prerequisite for subsequent full ontology development. The present article describes the semantic dissection of the concepts, the elicitation of the ontology requirements and the domain constraints of the conceptual framework. This ontology includes 134 concepts and 25 distinct relations and will serve as basis for an Information Model for Patient Safety.

  14. Analysis of the relation between knowledge engineering and knowledge management based on the Nonaka and Takeuchi models

    Directory of Open Access Journals (Sweden)

    Christian Reyes

    2007-07-01

    Full Text Available The use of the Knowledge Management is fundamental in the creation of value within the companies, being at the present time a new form to obtain competitive advantages in specific market. Also, for the process of value creation is necessary to use specifics Information Technologies that they allow to reach the objectives drawn up when implementing a Knowledge Management project. In this sense, one of the more complete and efficient Information Technologies is the Knowledge Based System that as well comprises of the Knowledge Engineering. This article tries to analyze the existing relation between Knowledge Management, a specific model of knowledge creation, the Knowledge Based System and how this Information Technologies play a very important role in the creation, codification and transference of knowledge.

  15. A Fuzzy Knowledge Representation Model for Student Performance Assessment

    DEFF Research Database (Denmark)

    Badie, Farshad

    Knowledge representation models based on Fuzzy Description Logics (DLs) can provide a foundation for reasoning in intelligent learning environments. While basic DLs are suitable for expressing crisp concepts and binary relationships, Fuzzy DLs are capable of processing degrees of truth/completene....../completeness about vague or imprecise information. This paper tackles the issue of representing fuzzy classes using OWL2 in a dataset describing Performance Assessment Results of Students (PARS)....

  16. A Knowledge base model for complex forging die machining

    OpenAIRE

    Mawussi, Kwamiwi; Tapie, Laurent

    2011-01-01

    International audience; Recent evolutions on forging process induce more complex shape on forging die. These evolutions, combined with High Speed Machining (HSM) process of forging die lead to important increase in time for machining preparation. In this context, an original approach for generating machining process based on machining knowledge is proposed in this paper. The core of this approach is to decompose a CAD model of complex forging die in geometric features. Technological data and ...

  17. A Semantic Model Faced on the Uniform Product Knowledge Representation

    Institute of Scientific and Technical Information of China (English)

    JIAN Chengfeng; ZHANG Meiyu

    2006-01-01

    In order to realize the uniform knowledge representation including STEP and SGML, aimed at the defects of current methods, a new semantic model that is named XOEM+OWL is put forward. And then the correspondent mapping between STEP Schema Graph and OWL Schema Graph are build as Cos(sc,oc),so we can get the semantic pattern matching degree for the semantic representation on the product information. At last the example is presented.

  18. Upper Secondary Teachers' Knowledge for Teaching Chemical Bonding Models

    Science.gov (United States)

    Bergqvist, Anna; Drechsler, Michal; Rundgren, Shu-Nu Chang

    2016-01-01

    Researchers have shown a growing interest in science teachers' professional knowledge in recent decades. The article focuses on how chemistry teachers impart chemical bonding, one of the most important topics covered in upper secondary school chemistry courses. Chemical bonding is primarily taught using models, which are key for understanding science. However, many studies have determined that the use of models in science education can contribute to students' difficulties understanding the topic, and that students generally find chemical bonding a challenging topic. The aim of this study is to investigate teachers' knowledge of teaching chemical bonding. The study focuses on three essential components of pedagogical content knowledge (PCK): (1) the students' understanding, (2) representations, and (3) instructional strategies. We analyzed lesson plans about chemical bonding generated by 10 chemistry teachers with whom we also conducted semi-structured interviews about their teaching. Our results revealed that the teachers were generally unaware of how the representations of models they used affected student comprehension. The teachers had trouble specifying students' difficulties in understanding. Moreover, most of the instructional strategies described were generic and insufficient for promoting student understanding. Additionally, the teachers' rationale for choosing a specific representation or activity was seldom directed at addressing students' understanding. Our results indicate that both PCK components require improvement, and suggest that the two components should be connected. Implications for the professional development of pre-service and in-service teachers are discussed.

  19. Multi-Disciplinary Knowledge Synthesis for Human Health Assessment on Earth and in Space

    Science.gov (United States)

    Christakos, G.

    We discuss methodological developments in multi-disciplinary knowledge synthesis (KS) of human health assessment. A theoretical KS framework can provide the rational means for the assimilation of various information bases (general, site-specific etc.) that are relevant to the life system of interest. KS-based techniques produce a realistic representation of the system, provide a rigorous assessment of the uncertainty sources, and generate informative health state predictions across space-time. The underlying epistemic cognition methodology is based on teleologic criteria and stochastic logic principles. The mathematics of KS involves a powerful and versatile spatiotemporal random field model that accounts rigorously for the uncertainty features of the life system and imposes no restriction on the shape of the probability distributions or the form of the predictors. KS theory is instrumental in understanding natural heterogeneities, assessing crucial human exposure correlations and laws of physical change, and explaining toxicokinetic mechanisms and dependencies in a spatiotemporal life system domain. It is hoped that a better understanding of KS fundamentals would generate multi-disciplinary models that are useful for the maintenance of human health on Earth and in Space.

  20. Men's Perceptions and Knowledge of Human Papillomavirus (HPV) Infection and Cervical Cancer

    Science.gov (United States)

    McPartland, Tara S.; Weaver, Bethany A.; Lee, Shu-Kuang; Koutsky, Laura A.

    2005-01-01

    The authors assessed young men's knowledge and perceptions of genital human papillomavirus (HPV) infection to identify factors that predict intention to make positive behavioral changes. Male university students aged 18 to 25 years completed a self-report instrument to assess knowledge and perceptions of genital HPV infection. If diagnosed with…

  1. Knowledge of Acute Human Immnuodeficiency Virus Infection among Gay and Bisexual Male College Students

    Science.gov (United States)

    Grin, Benjamin; Chan, Philip A.; Operario, Don

    2013-01-01

    Objective: To examine human immunodeficiency virus (HIV)-related knowledge, attitudes, and behaviors in at-risk college men who have sex with men (MSM), focusing on knowledge about acute HIV infection (AHI). Participants and Methods: A one-time anonymous survey was administered to college students attending a lesbian, gay, bisexual, transgender,…

  2. Knowledge, Attitudes, and Informational Behaviors of College Students in Regard to the Human Papillomavirus

    Science.gov (United States)

    Sandfort, Jessica R.; Pleasant, Andrew

    2009-01-01

    Objective: To assess students' human papillomavirus (HPV) knowledge, attitudes, and behaviors. Participants/ Methods: Students (N = 1,282) at a large, public university in the Northeast United States completed a questionnaire during February 2008 assessing HPV knowledge, prevalence, transmission, cervical cancer risk and stigma; sexual behavior,…

  3. Men's Perceptions and Knowledge of Human Papillomavirus (HPV) Infection and Cervical Cancer

    Science.gov (United States)

    McPartland, Tara S.; Weaver, Bethany A.; Lee, Shu-Kuang; Koutsky, Laura A.

    2005-01-01

    The authors assessed young men's knowledge and perceptions of genital human papillomavirus (HPV) infection to identify factors that predict intention to make positive behavioral changes. Male university students aged 18 to 25 years completed a self-report instrument to assess knowledge and perceptions of genital HPV infection. If diagnosed with…

  4. The shaping of social perception by stimulus and knowledge cues to human animacy.

    Science.gov (United States)

    Cross, Emily S; Ramsey, Richard; Liepelt, Roman; Prinz, Wolfgang; de C Hamilton, Antonia F

    2016-01-19

    Although robots are becoming an ever-growing presence in society, we do not hold the same expectations for robots as we do for humans, nor do we treat them the same. As such, the ability to recognize cues to human animacy is fundamental for guiding social interactions. We review literature that demonstrates cortical networks associated with person perception, action observation and mentalizing are sensitive to human animacy information. In addition, we show that most prior research has explored stimulus properties of artificial agents (humanness of appearance or motion), with less investigation into knowledge cues (whether an agent is believed to have human or artificial origins). Therefore, currently little is known about the relationship between stimulus and knowledge cues to human animacy in terms of cognitive and brain mechanisms. Using fMRI, an elaborate belief manipulation, and human and robot avatars, we found that knowledge cues to human animacy modulate engagement of person perception and mentalizing networks, while stimulus cues to human animacy had less impact on social brain networks. These findings demonstrate that self-other similarities are not only grounded in physical features but are also shaped by prior knowledge. More broadly, as artificial agents fulfil increasingly social roles, a challenge for roboticists will be to manage the impact of pre-conceived beliefs while optimizing human-like design.

  5. Unspoken Knowledge: Implicit Learning of Structured Human Dance Movement

    Science.gov (United States)

    Opacic, Tajana; Stevens, Catherine; Tillmann, Barbara

    2009-01-01

    The sequencing of dance movements may be thought of as a grammar. We investigate implicit learning of regularities that govern sequences of unfamiliar, discrete dance movements. It was hypothesized that observers without prior experience with contemporary dance would be able to learn regularities that underpin structured human movement. Thirty-one…

  6. Unspoken Knowledge: Implicit Learning of Structured Human Dance Movement

    Science.gov (United States)

    Opacic, Tajana; Stevens, Catherine; Tillmann, Barbara

    2009-01-01

    The sequencing of dance movements may be thought of as a grammar. We investigate implicit learning of regularities that govern sequences of unfamiliar, discrete dance movements. It was hypothesized that observers without prior experience with contemporary dance would be able to learn regularities that underpin structured human movement. Thirty-one…

  7. Impact of human resources' knowledge and skills on SMEs' in Medan City, Indonesia

    OpenAIRE

    Sembiring, Rasmulia

    2016-01-01

    The purpose of this research article was to explore the influence of knowledge and skills of human resource on the performance of culinary Small and Medium Enterprises (SMEs) in Medan City, Indonesia. Using quantitative research design, data were collected from 120 culinary SMEs located in Medan City. Multiple regression, t-test and f-ratio were used to estimate the significant effect of human knowledge and skills partially or not, whereas F test was applied to test whether the effect will be...

  8. MODEL OF THE CITY IN THE KNOWLEDGE ECONOMY

    Directory of Open Access Journals (Sweden)

    Yermolenko V. V.

    2016-04-01

    Full Text Available The known models of the city from a position of knowledge economy are analyzed in the article. The hypothesis of the research shows that practice of a strategizing of the city has to be based on polymodel approach when several key models adequate to modern trends are taken as a basis, connected with formation of sector of economy as a part of regional social and economic system, and other models are addition and essential extension of the contents chosen basic models, strengthening their cognitive component. Research of the model of a creative city, creative clusters, quarters and zones of the city, model of the digital city, model of an eco-city is conducted. Substantial features of models are revealed. It is established that the informative potential of types of models of the city increases on the basis of research and identification of mechanisms of mutually transition (participation of elements of one model as elements another (others complementary models. The city as the semistructured system consisting of diverse subsystems and elements does not submit to rational planning owing to structural and territorial duplication of functions and asynchrony in functioning and changes, and also owing to the history and sociocultural specifics of the population significantly giving immanent logic of life. It is necessary to create flexible system of the city strategy on a polymodel (interdisciplinary basis, based on activization of growth sources, various on contents, for the purpose of formation of new image of the cities

  9. Model of converting tacit knowledge into explicit knowledge on the example of R&D department of the manufacturing company, including evaluation of knowledge workers' usefulness

    Directory of Open Access Journals (Sweden)

    Małgorzata Śliwa

    2015-04-01

    Full Text Available This article attempts to create a model of converting tacit knowledge into explicit knowledge with Bayes algorithm for the research and development department in a manufacturing company. Based on the reference works, there have been proposed the characteristics of knowledge conversion process, with the focus on the factors supporting sharing tacit knowledge. The sources of tacit knowledge in the research and development department in a manufacturing company were identified, and then mechanisms of its collection were proposed. As a result, Bayes algorithm was implemented to perform the conversion process of the collected tacit knowledge into explicit knowledge. By stimulating knowledge workers to share tacit knowledge, the organisation increases its know-how value, by formalized specialist knowledge available for other procedures. The model is illustrated by the example of business practice. As a result, it is assumed to receive measurable benefits, i.e. reductions of cost, corrections, complaints and faster completion of a similar project, optimal selection of workers. It presents directions for further work, including the IT implementation of the presented model and its verification.

  10. Flexible Bayesian Human Fecundity Models.

    Science.gov (United States)

    Kim, Sungduk; Sundaram, Rajeshwari; Buck Louis, Germaine M; Pyper, Cecilia

    2012-12-01

    Human fecundity is an issue of considerable interest for both epidemiological and clinical audiences, and is dependent upon a couple's biologic capacity for reproduction coupled with behaviors that place a couple at risk for pregnancy. Bayesian hierarchical models have been proposed to better model the conception probabilities by accounting for the acts of intercourse around the day of ovulation, i.e., during the fertile window. These models can be viewed in the framework of a generalized nonlinear model with an exponential link. However, a fixed choice of link function may not always provide the best fit, leading to potentially biased estimates for probability of conception. Motivated by this, we propose a general class of models for fecundity by relaxing the choice of the link function under the generalized nonlinear model framework. We use a sample from the Oxford Conception Study (OCS) to illustrate the utility and fit of this general class of models for estimating human conception. Our findings reinforce the need for attention to be paid to the choice of link function in modeling conception, as it may bias the estimation of conception probabilities. Various properties of the proposed models are examined and a Markov chain Monte Carlo sampling algorithm was developed for implementing the Bayesian computations. The deviance information criterion measure and logarithm of pseudo marginal likelihood are used for guiding the choice of links. The supplemental material section contains technical details of the proof of the theorem stated in the paper, and contains further simulation results and analysis.

  11. The Shigella human challenge model.

    Science.gov (United States)

    Porter, C K; Thura, N; Ranallo, R T; Riddle, M S

    2013-02-01

    Shigella is an important bacterial cause of infectious diarrhoea globally. The Shigella human challenge model has been used since 1946 for a variety of objectives including understanding disease pathogenesis, human immune responses and allowing for an early assessment of vaccine efficacy. A systematic review of the literature regarding experimental shigellosis in human subjects was conducted. Summative estimates were calculated by strain and dose. While a total of 19 studies evaluating nine strains at doses ranging from 10 to 1 × 1010 colony-forming units were identified, most studies utilized the S. sonnei strain 53G and the S. flexneri strain 2457T. Inoculum solution and pre-inoculation buffering has varied over time although diarrhoea attack rates do not appear to increase above 75-80%, and dysentery rates remain fairly constant, highlighting the need for additional dose-ranging studies. Expansion of the model to include additional strains from different serotypes will elucidate serotype and strain-specific outcome variability.

  12. Role Modeling: A Modeling Method for Software Pattern at Knowledge Level

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Based on dominant degree of role model among the viewpoints forobj ect oriented modeling process, it dissertates that role modeling is a mo deling method for software pattern at knowledge level. After giving some example s for modeling design pattern and analysis pattern at knowledge level using role model, it presents a process for refining design pattern from role mode l to class model and event trace diagram of UML. In this paper, we advocate the opinion that role modeling before object modeling of UML.

  13. Velo: A Knowledge Management Framework for Modeling and Simulation

    Energy Technology Data Exchange (ETDEWEB)

    Gorton, Ian; Sivaramakrishnan, Chandrika; Black, Gary D.; White, Signe K.; Purohit, Sumit; Lansing, Carina S.; Madison, Michael C.; Schuchardt, Karen L.; Liu, Yan

    2012-03-01

    Modern scientific enterprises are inherently knowledge-intensive. Scientific studies in domains such as geosciences, climate, and biology require the acquisition and manipulation of large amounts of experimental and field data to create inputs for large-scale computational simulations. The results of these simulations are then analyzed, leading to refinements of inputs and models and additional simulations. The results of this process must be managed and archived to provide justifications for regulatory decisions and publications that are based on the models. In this paper we introduce our Velo framework that is designed as a reusable, domain independent knowledge management infrastructure for modeling and simulation. Velo leverages, integrates and extends open source collaborative and content management technologies to create a scalable and flexible core platform that can be tailored to specific scientific domains. We describe the architecture of Velo for managing and associating the various types of data that are used and created in modeling and simulation projects, as well as the framework for integrating domain-specific tools. To demonstrate realizations of Velo, we describe examples from two deployed sites for carbon sequestration and climate modeling. These provide concrete example of the inherent extensibility and utility of our approach.

  14. Velo: Riding the Knowledge Management Wave for Simulation and Modeling

    Energy Technology Data Exchange (ETDEWEB)

    Gorton, Ian; Sivaramakrishnan, Chandrika; Black, Gary D.; White, Signe K.; Purohit, Sumit; Madison, Michael C.; Schuchardt, Karen L.

    2011-05-28

    Modern scientific enterprises are inherently knowledge-intensive. In general, scientific studies in domains such as geosciences, climate, and biology require the acquisition and manipulation of large amounts of experimental and field data in order to create inputs for large-scale computational simulations. The results of these simulations must then be analyzed, leading to refinements of inputs and models and further simulations. Further, these results must be managed and archived to provide justifications for publications and regulatory decisions that are based on these models. In this paper we describe our Velo framework that is designed as a reusable, domain independent knowledge management infrastructure for modeling and simulation. Velo leverages, integrates, and extends open source collaborative and content management technologies to create a scalable and flexible core platform that can be tailored to specific scientific domains. In this paper we describe the architecture of Velo for managing and associating the various types of data that are used and created in modeling and simulation projects, as well as the framework for integrating domain-specific tools. To demonstrate a realization of Velo, we describe the Geologic Sequestration Software Suite (GS3) that has been developed to support geologic sequestration modeling. This provides a concrete example of the inherent extensibility and utility of our approach.

  15. Knowledge service decision making in business incubators based on the supernetwork model

    Science.gov (United States)

    Zhao, Liming; Zhang, Haihong; Wu, Wenqing

    2017-08-01

    As valuable resources for incubating firms, knowledge resources have received gradually increasing attention from all types of business incubators, and business incubators use a variety of knowledge services to stimulate rapid growth in incubating firms. Based on previous research, we generalize the knowledge transfer and knowledge networking services of two main forms of knowledge services and further divide knowledge transfer services into knowledge depth services and knowledge breadth services. Then, we construct the business incubators' knowledge supernetwork model, describe the evolution mechanism among heterogeneous agents and utilize a simulation to explore the performance variance of different business incubators' knowledge services. The simulation results show that knowledge stock increases faster when business incubators are able to provide knowledge services to more incubating firms and that the degree of discrepancy in the knowledge stock increases during the process of knowledge growth. Further, knowledge transfer services lead to greater differences in the knowledge structure, while knowledge networking services lead to smaller differences. Regarding the two types of knowledge transfer services, knowledge depth services are more conducive to knowledge growth than knowledge breadth services, but knowledge depth services lead to greater gaps in knowledge stocks and greater differences in knowledge structures. Overall, it is optimal for business incubators to select a single knowledge service or portfolio strategy based on the amount of time and energy expended on the two types of knowledge services.

  16. PRINCIPLES OF A NEW MODEL FOR EDUCATION IN THE KNOWLEDGE SOCIETY

    National Research Council Canada - National Science Library

    Emilian M. DOBRESCU; Edith-Mihaela SIMA

    2010-01-01

    Education is a social effect of millenary human action, stemming from the human experience throughout its existence, but also scientific and technical knowledge, who put their mark on human evolution and society...

  17. Drawing on student knowledge in human anatomy and physiology

    Science.gov (United States)

    Slominski, Tara Nicole

    Prior to instruction, students may have developed alternative conceptions about the mechanics behind human physiology. To help students re-shape these ideas into correct reasoning, the faulty characteristics reinforcing the alternative conceptions need to made explicit. This study used student-generated drawings to expose alternative conceptions Human Anatomy and Physiology students had prior to instruction on neuron physiology. Specifically, we investigated how students thought about neuron communication across a synapse (n=355) and how neuron activity can be modified (n=311). When asked to depict basic communication between two neurons, at least 80% of students demonstrated incorrect ideas about synaptic transmission. When targeting spatial and temporal summation, only eleven students (3.5%) were able to accurately depict at least one form of summation. In response to both drawing questions, student drawings revealed multiple alternative conceptions that resulted in a deeper analysis and characterization of the wide variation of student ideas.

  18. Stabilizing knowledge through standards - A perspective for the humanities

    CERN Document Server

    Romary, Laurent

    2010-01-01

    It is usual to consider that standards generate mixed feelings among scientists. They are often seen as not really reflecting the state of the art in a given domain and a hindrance to scientific creativity. Still, scientists should theoretically be at the best place to bring their expertise into standard developments, being even more neutral on issues that may typically be related to competing industrial interests. Even if it could be thought of as even more complex to think about developping standards in the humanities, we will show how this can be made feasible through the experience gained both within the Text Encoding Initiative consortium and the International Organisation for Standardisation. By taking the specific case of lexical resources, we will try to show how this brings about new ideas for designing future research infrastructures in the human and social sciences.

  19. An Integrated Model of Knowledge Acquisition and Innovation: Examining the Mediation Effects of Knowledge Integration and Knowledge Application

    Science.gov (United States)

    Dahiyat, Samer E.

    2015-01-01

    The aim of this research is to empirically investigate the relationships among the three vital knowledge management processes of acquisition, integration and application, and their effects on organisational innovation in the pharmaceutical manufacturing industry in Jordan; a knowledge-intensive business service (KIBS) sector. Structural equation…

  20. Genetically engineered mouse models and human osteosarcoma

    Directory of Open Access Journals (Sweden)

    Ng Alvin JM

    2012-10-01

    Full Text Available Abstract Osteosarcoma is the most common form of bone cancer. Pivotal insight into the genes involved in human osteosarcoma has been provided by the study of rare familial cancer predisposition syndromes. Three kindreds stand out as predisposing to the development of osteosarcoma: Li-Fraumeni syndrome, familial retinoblastoma and RecQ helicase disorders, which include Rothmund-Thomson Syndrome in particular. These disorders have highlighted the important roles of P53 and RB respectively, in the development of osteosarcoma. The association of OS with RECQL4 mutations is apparent but the relevance of this to OS is uncertain as mutations in RECQL4 are not found in sporadic OS. Application of the knowledge or mutations of P53 and RB in familial and sporadic OS has enabled the development of tractable, highly penetrant murine models of OS. These models share many of the cardinal features associated with human osteosarcoma including, importantly, a high incidence of spontaneous metastasis. The recent development of these models has been a significant advance for efforts to improve our understanding of the genetics of human OS and, more critically, to provide a high-throughput genetically modifiable platform for preclinical evaluation of new therapeutics.

  1. Knowledge in formation: The machine-modeled frame of mind

    Energy Technology Data Exchange (ETDEWEB)

    Shore, B.

    1996-12-31

    Artificial Intelligence researchers have used the digital computer as a model for the human mind in two different ways. Most obviously, the computer has been used as a tool on which simulations of thinking-as-programs are developed and tested. Less obvious, but of great significance, is the use of the computer as a conceptual model for the human mind. This essay traces the sources of this machine-modeled conception of cognition in a great variety of social institutions and everyday experienced treating them as {open_quotes}cultural models{close_quotes} which have contributed to the naturalness of The mine-as-machine paradigm for many Americans. The roots of these models antedate the actual development of modern computers, and take the form of a {open_quotes}modularity schema{close_quotes} that has shaped the cultural and cognitive landscape of modernity. The essay concludes with a consideration of some of the cognitive consequences of this extension of machine logic into modern life, and proposes an important distinction between information processing models of thought and meaning-making in how human cognition is conceptualized.

  2. Modeling aspects of human memory for scientific study.

    Energy Technology Data Exchange (ETDEWEB)

    Caudell, Thomas P. (University of New Mexico); Watson, Patrick (University of Illinois - Champaign-Urbana Beckman Institute); McDaniel, Mark A. (Washington University); Eichenbaum, Howard B. (Boston University); Cohen, Neal J. (University of Illinois - Champaign-Urbana Beckman Institute); Vineyard, Craig Michael; Taylor, Shawn Ellis; Bernard, Michael Lewis; Morrow, James Dan; Verzi, Stephen J.

    2009-10-01

    Working with leading experts in the field of cognitive neuroscience and computational intelligence, SNL has developed a computational architecture that represents neurocognitive mechanisms associated with how humans remember experiences in their past. The architecture represents how knowledge is organized and updated through information from individual experiences (episodes) via the cortical-hippocampal declarative memory system. We compared the simulated behavioral characteristics with those of humans measured under well established experimental standards, controlling for unmodeled aspects of human processing, such as perception. We used this knowledge to create robust simulations of & human memory behaviors that should help move the scientific community closer to understanding how humans remember information. These behaviors were experimentally validated against actual human subjects, which was published. An important outcome of the validation process will be the joining of specific experimental testing procedures from the field of neuroscience with computational representations from the field of cognitive modeling and simulation.

  3. Development of a Prototype Model-Form Uncertainty Knowledge Base

    Science.gov (United States)

    Green, Lawrence L.

    2016-01-01

    Uncertainties are generally classified as either aleatory or epistemic. Aleatory uncertainties are those attributed to random variation, either naturally or through manufacturing processes. Epistemic uncertainties are generally attributed to a lack of knowledge. One type of epistemic uncertainty is called model-form uncertainty. The term model-form means that among the choices to be made during a design process within an analysis, there are different forms of the analysis process, which each give different results for the same configuration at the same flight conditions. Examples of model-form uncertainties include the grid density, grid type, and solver type used within a computational fluid dynamics code, or the choice of the number and type of model elements within a structures analysis. The objectives of this work are to identify and quantify a representative set of model-form uncertainties and to make this information available to designers through an interactive knowledge base (KB). The KB can then be used during probabilistic design sessions, so as to enable the possible reduction of uncertainties in the design process through resource investment. An extensive literature search has been conducted to identify and quantify typical model-form uncertainties present within aerospace design. An initial attempt has been made to assemble the results of this literature search into a searchable KB, usable in real time during probabilistic design sessions. A concept of operations and the basic structure of a model-form uncertainty KB are described. Key operations within the KB are illustrated. Current limitations in the KB, and possible workarounds are explained.

  4. Understanding What We Do: Emerging Models for Human Rights Education

    Science.gov (United States)

    Tibbitts, Felisa

    2002-07-01

    The author presents three approaches to contemporary human rights education practice: the Values and Awareness Model, the Accountability Model and the Transformational Model. Each model is associated with particular target groups, contents and strategies. The author suggests that these models can lend themselves to theory development and research in what might be considered an emerging educational field. Human rights education can be further strengthened through the appropriate use oflearning theory, as well as through the setting of standards for trainer preparation and program content, and through evaluating the impact of programs in terms of reaching learner goals (knowledge, values and skills) and contributing to social change.

  5. A Knowledge Tree Model and Its Application for Continuous Management Improvement

    Science.gov (United States)

    Lu, Yun; Bao, Zhen-Qiang; Zhao, Yu-Qin; Wang, Yan; Wang, Gui-Jun

    This chapter analyzes the relationship of organizational knowledge and brings forward that organizational knowledge consists of three layers: core knowledge, structural knowledge, and implicit knowledge. According to the principle of knowledge maps, a dynamic management model of organizational knowledge based on knowledge tree is introduced and the definition of the value of knowledge node is given so that the quantitative management on knowledge is realized, which lays a foundation for performance evaluation of knowledge management. We also carefully study the application of knowledge tree in service quality management of hospital organizations and management innovation process and give the example of cooperation in endoscopic surgery to establish a knowledge tree about operational cooperation degree, which states the principle of organizational knowledge management and the knowledge innovation process of continuous management improvement.

  6. Continuous quality improvement: a shared governance model that maximizes agent-specific knowledge.

    Science.gov (United States)

    Burkoski, Vanessa; Yoon, Jennifer

    2013-01-01

    Motivate, Innovate, Celebrate: an innovative shared governance model through the establishment of continuous quality improvement (CQI) councils was implemented across the London Health Sciences Centre (LHSC). The model leverages agent-specific knowledge at the point of care and provides a structure aimed at building human resources capacity and sustaining enhancements to quality and safe care delivery. Interprofessional and cross-functional teams work through the CQI councils to identify, formulate, execute and evaluate CQI initiatives. In addition to a structure that facilitates collaboration, accountability and ownership, a corporate CQI Steering Committee provides the forum for scaling up and spreading this model. Point-of-care staff, clinical management and educators were trained in LEAN methodology and patient experience-based design to ensure sufficient knowledge and resources to support the implementation.

  7. A Dynamic Knowledge Model for Nitrogen Fertilization in Wheat Management

    Institute of Scientific and Technical Information of China (English)

    ZHU Yan; CAO Wei-xing; DAI Ting-bo; SUN Chuan-fan

    2003-01-01

    By analyzing and extracting the research progress on nitrogen fertilization in wheat, a dynamic knowledge model for management decision-making on total nitrogen rate, ratios of organic to inorganic and of basal to dressing nitrogen under different environments and cultivars in wheat was developed with principle of nutrient balance and by integrating the quantitative effects of grain yield and quality targets, soil characters, variety traits and water management levels. Case studies on the nitrogen fertilization model with the data sets of different eco-sites, cultivars, soil fertility levels, grain yield and quality targets and water management levels indicate a good performance of the model system in decision-making and wide applicability.

  8. Knowledge-Intensive Entrepreneurship and the Impact of Human Capital

    DEFF Research Database (Denmark)

    Madsen, Henning; Neergaard, Helle; Ulhøi, John Parm

    2002-01-01

    The purpose of this paper is to address selected aspects of human capital in association with the entrepreneurial process in technology-based new ventures. Until recently, research investigating the founding of new businesses has mainly focused on the personal characteristics of entrepreneurs......, but this trait approach tends to underestimate the extent to which crucial skills may be acquired. The preliminary findings presented in this paper indicate that it is not so much the inherent personality that is instrumental in founding and growing a new venture. Previous employments as well as entrepreneurial...... experiences are both considered to be critical to the entrepreneurial process, as they both seem to impact on new venture establishment. The longer the career path before venture founding, the more experience an entrepreneur has gathered. Therefore, age seems to have a positive influence on the success...

  9. Estimation of intellectual capital in the European Union using a knowledge model

    Directory of Open Access Journals (Sweden)

    Domingo Nevado Peña

    2011-06-01

    Full Text Available This paper presents a model aimed at measuring intellectual capital as the potential knowledge of a country and apply it to the European Union. The method consists of activating accountable expenses, assumed to generate knowledge. In order to do so, efficiency indicators are used, derived from a summary of variables of structural, human and technological capitals by means of factor analysis. The results of this study for the EU25 in 2006 explain why Northern Europe has greater intellectual capital potential. They are more productive, as they manage and apply new technologies better. In human capital, Eastern countries have strong potential. The paper concludes that, at the conceptual level, this information should be used to design convergence policies and balanced development strategies to ensure economic growth.

  10. Status study of knowledge management in universities and to provide a suitable model (Case Study: Ferdowsi University of Mashhad)

    Science.gov (United States)

    Jahangir, Mustafa; Asadi, M. Mahdi

    2010-05-01

    During the past two decades to increase the volume of information and knowledge in organizations and the necessity of effective use of it in Organizational decisions is led to the emerging phenomenon of knowledge management. Knowledge management, including all the ways the organization manage their knowledge assets that include how collection, storage, transfer, deployment, update and create knowledge. Universities that type of knowledge based organizations are important sources of knowledge and therefore can be considered as strategic in universities and higher education centers of knowledge management will be more important. In this research The status of knowledge management in universities and a case study of Mashhad University are checked are the problems and challenges are identified and finally as for the features, requirements and conditions to implement a model for universities and deployment of knowledge management is presented in it.Therefore, basic research problem is: the status of knowledge management in universities and the case Mashhad University is how and which model for implementation and deployment of knowledge management is recommended? Importance and necessity of research topicare: Knowledge management experts in the emergence of knowledge management consider four major factors:1) passing the material tangible assets dominated era to the domination of capital in non-palpable, nonetheless organizations. 2) increase the extraordinary volume of information, the electronic storage and increased access to information 3) risk to the story of institutional knowledge due to retirement or exit from the crew 4) become more specialized activities in the organization 5) the emergence of knowledge based organizations and incidence of the most important capital is its knowledge. Knowledge management solutions focus on the entire system, including organization, human resources and technology in the take-the most important tools for solving problems and

  11. Modeling of Human Joint Structures.

    Science.gov (United States)

    1982-09-01

    Radial Lateral " epicondyle Olecranon Radius Ulna Figure 3. Lateral aspect of the right elbow joint. -17- Annular Ligament This strong band encircles... elbow joint, knee joint, human joints, shoulder joint, ankle joint, joint models, hip joint, ligaments. 20. ABSTRACT (Continue on reverse side If...ligaments. -A rather extended discussion of the articulations and anatomical descriptions of the elbow , shoulder, hip, knee and ankle joints are

  12. Agent based simulation on the process of human flesh search-From perspective of knowledge and emotion

    Science.gov (United States)

    Zhu, Hou; Hu, Bin

    2017-03-01

    Human flesh search as a new net crowed behavior, on the one hand can help us to find some special information, on the other hand may lead to privacy leaking and offending human right. In order to study the mechanism of human flesh search, this paper proposes a simulation model based on agent-based model and complex networks. The computational experiments show some useful results. Discovered information quantity and involved personal ratio are highly correlated, and most of net citizens will take part in the human flesh search or will not take part in the human flesh search. Knowledge quantity does not influence involved personal ratio, but influences whether HFS can find out the target human. When the knowledge concentrates on hub nodes, the discovered information quantity is either perfect or almost zero. Emotion of net citizens influences both discovered information quantity and involved personal ratio. Concretely, when net citizens are calm to face the search topic, it will be hardly to find out the target; But when net citizens are agitated, the target will be found out easily.

  13. The lawful uses of knowledge from the Human Genome Project

    Energy Technology Data Exchange (ETDEWEB)

    Grad, F.P.

    1994-04-15

    Part I of this study deals with the right to know or not to know personal genetic information, and examines available legal protections of the right of privacy and the adverse effect of the disclosure of genetic information both on employment and insurance interests and on self esteem and protection of personal integrity. The study examines the rationale for the legal protection of privacy as the protection of a public interest. It examines the very limited protections currently available for privacy interests, including genetic privacy interests, and concludes that there is a need for broader, more far-reaching legal protections. The second part of the study is based on the assumption that as major a project as the Human Genome Project, spending billions of dollars on science which is health related, will indeed be applied for preventive and therapeutic public health purposes, as it has been in the past. It also addresses the recurring fear that public health initiatives in the genetic area must evolve a new eugenic agenda, that we must not repeat the miserable discriminatory experiences of the past.

  14. Knowledge-based modelling of historical surfaces using lidar data

    Science.gov (United States)

    Höfler, Veit; Wessollek, Christine; Karrasch, Pierre

    2016-10-01

    Currently in archaeological studies digital elevation models are mainly used especially in terms of shaded reliefs for the prospection of archaeological sites. Hesse (2010) provides a supporting software tool for the determination of local relief models during the prospection using LiDAR scans. Furthermore the search for relicts from WW2 is also in the focus of his research. In James et al. (2006) the determined contour lines were used to reconstruct locations of archaeological artefacts such as buildings. This study is much more and presents an innovative workflow of determining historical high resolution terrain surfaces using recent high resolution terrain models and sedimentological expert knowledge. Based on archaeological field studies (Franconian Saale near Bad Neustadt in Germany) the sedimentological analyses shows that archaeological interesting horizon and geomorphological expert knowledge in combination with particle size analyses (Koehn, DIN ISO 11277) are useful components for reconstructing surfaces of the early Middle Ages. Furthermore the paper traces how it is possible to use additional information (extracted from a recent digital terrain model) to support the process of determination historical surfaces. Conceptual this research is based on methodology of geomorphometry and geo-statistics. The basic idea is that the working procedure is based on the different input data. One aims at tracking the quantitative data and the other aims at processing the qualitative data. Thus, the first quantitative data were available for further processing, which were later processed with the qualitative data to convert them to historical heights. In the final stage of the workflow all gathered information are stored in a large data matrix for spatial interpolation using the geostatistical method of Kriging. Besides the historical surface, the algorithm also provides a first estimation of accuracy of the modelling. The presented workflow is characterized by a high

  15. Epistemological Beliefs and Knowledge Sharing in Work Teams: A New Model and Research Questions

    Science.gov (United States)

    Weinberg, Frankie J.

    2015-01-01

    Purpose: The purpose of this paper is to present a knowledge-sharing model that explains individual members' motivation to share knowledge (knowledge donation and knowledge collection). Design/methodology/approach: The model is based on social-constructivist theories of epistemological beliefs, learning and distributed cognition, and is organized…

  16. Epistemological Beliefs and Knowledge Sharing in Work Teams: A New Model and Research Questions

    Science.gov (United States)

    Weinberg, Frankie J.

    2015-01-01

    Purpose: The purpose of this paper is to present a knowledge-sharing model that explains individual members' motivation to share knowledge (knowledge donation and knowledge collection). Design/methodology/approach: The model is based on social-constructivist theories of epistemological beliefs, learning and distributed cognition, and is organized…

  17. Development of knowledge based operation system for making product matching with requirement by human sense; Kansei tekigo seihinseizo wo mezashita chiteki opereshon shisumtemu ni kansuru kenkyu

    Energy Technology Data Exchange (ETDEWEB)

    Honda, Hiroyuki [Nagoya University, Aichi (Japan). Dept. of Biotechnology

    1999-12-16

    Knowledge based operation system was developed in order to apply the human sense to process operation. Since beverages such as coffee, beer and sake, are seriously evaluated by human sense, those sensory evaluations or data on those chemical composition were subjected to this research. Fuzzy neural network (FNN) ro its hierarchical structure (HFNN) was superior tool for modeling of human sense. With respect to the determination of the chemical composition from desired sensory evaluation, an innovative tool, CF-GA, was newly developed. Using these tools, construction of knowledge based operation system for making the product matching with requirement by human sense became promising. (author)

  18. Modeling learned categorical perception in human vision.

    Science.gov (United States)

    Casey, Matthew C; Sowden, Paul T

    2012-09-01

    A long standing debate in cognitive neuroscience has been the extent to which perceptual processing is influenced by prior knowledge and experience with a task. A converging body of evidence now supports the view that a task does influence perceptual processing, leaving us with the challenge of understanding the locus of, and mechanisms underpinning, these influences. An exemplar of this influence is learned categorical perception (CP), in which there is superior perceptual discrimination of stimuli that are placed in different categories. Psychophysical experiments on humans have attempted to determine whether early cortical stages of visual analysis change as a result of learning a categorization task. However, while some results indicate that changes in visual analysis occur, the extent to which earlier stages of processing are changed is still unclear. To explore this issue, we develop a biologically motivated neural model of hierarchical vision processes consisting of a number of interconnected modules representing key stages of visual analysis, with each module learning to exhibit desired local properties through competition. With this system level model, we evaluate whether a CP effect can be generated with task influence to only the later stages of visual analysis. Our model demonstrates that task learning in just the later stages is sufficient for the model to exhibit the CP effect, demonstrating the existence of a mechanism that requires only a high-level of task influence. However, the effect generalizes more widely than is found with human participants, suggesting that changes to earlier stages of analysis may also be involved in the human CP effect, even if these are not fundamental to the development of CP. The model prompts a hybrid account of task-based influences on perception that involves both modifications to the use of the outputs from early perceptual analysis along with the possibility of changes to the nature of that early analysis itself

  19. A Knowledge base model for complex forging die machining

    CERN Document Server

    Mawussi, Kwamiwi; 10.1016/j.cie.2011.02.016

    2011-01-01

    Recent evolutions on forging process induce more complex shape on forging die. These evolutions, combined with High Speed Machining (HSM) process of forging die lead to important increase in time for machining preparation. In this context, an original approach for generating machining process based on machining knowledge is proposed in this paper. The core of this approach is to decompose a CAD model of complex forging die in geometric features. Technological data and topological relations are aggregated to a geometric feature in order to create machining features. Technological data, such as material, surface roughness and form tolerance are defined during forging process and dies design. These data are used to choose cutting tools and machining strategies. Topological relations define relative positions between the surfaces of the die CAD model. After machining features identification cutting tools and machining strategies currently used in HSM of forging die, are associated to them in order to generate mac...

  20. An everlasting role of animal models in understanding human disease

    Institute of Scientific and Technical Information of China (English)

    Xiao Yang; Chonglin Yang

    2010-01-01

    Model organisms have been widely used to dissect important biological phenomena, as well as to explore potential causes and treatments for human disorders. Much of our knowledge on molecular mechanisms underlying the he?redity, development as well as physiology is largely derived from the researches of model organisms.We have witnessed an explosive increase in the development and application of genetic modified model organisms in the last decade.

  1. Human strongyloidiasis: identifying knowledge gaps, with emphasis on environmental control

    Directory of Open Access Journals (Sweden)

    Taylor MJ

    2014-08-01

    Full Text Available Michael J Taylor, Tara A Garrard, Francis J O'Donahoo, Kirstin E Ross Health and Environment, School of the Environment, Flinders University, Adelaide, SA, Australia Abstract: Strongyloides is a human parasitic nematode that is poorly understood outside a clinical context. This article identifies gaps within the literature, with particular emphasis on gaps that are hindering environmental control of Strongyloides. The prevalence and distribution of Strongyloides is unclear. An estimate of 100–370 million people infected worldwide has been proposed; however, inaccuracy of diagnosis, unreliability of prevalence mapping, and the fact that strongyloidiasis remains a neglected disease suggest that the higher figure of more than 300 million cases is likely to be a more accurate estimate. The complexity of Strongyloides life cycle means that laboratory cultures cannot be maintained outside of a host. This currently limits the range of laboratory-based research, which is vital to controlling Strongyloides through environmental alteration or treatment. Successful clinical treatment with antihelminthic drugs has meant that controlling Strongyloides through environmental control, rather than clinical intervention, has been largely overlooked. These control measures may encompass alteration of the soil environment through physical means, such as desiccation or removal of nutrients, or through chemical or biological agents. Repeated antihelminthic treatment of individuals with recurrent strongyloidiasis has not been observed to result in the selection of resistant strains; however, this has not been explicitly demonstrated, and relying on such assumptions in the long-term may prove to be shortsighted. It is ultimately naive to assume that continued administration of antihelminthics will be without any negative long-term effects. In Australia, strongyloidiasis primarily affects Indigenous communities, including communities from arid central Australia. This

  2. The Construction and Globalization of the Knowledge Base in Inter-human Communication Systems

    CERN Document Server

    Leydesdorff, Loet

    2009-01-01

    The relationship between the "knowledge base" and the "globalization" of communication systems is discussed from the perspective of communication theory. I argue that inter-human communication takes place at two levels. At the first level information is exchanged and provided with meaning and at the second level meaning can reflexively be communicated. Human language can be considered as the evolutionary achievement which enables us to use these two channels of communication simultaneously. Providing meaning from the perspective of hindsight is a recursive operation: a meaning that makes a difference can be considered as knowledge. If the production of knowledge is socially organized, the perspective of hindsight can further be codified. This adds globalization to the historically stabilized patterns of communications. Globalization can be expected to transform the communications in an evolutionary mode. However, the self-organization of a knowledge-based society remains an expectation with the status of a hy...

  3. Current knowledge of the aetiology of human tubal ectopic pregnancy

    Science.gov (United States)

    Shaw, J.L.V.; Dey, S.K.; Critchley, H.O.D.; Horne, A.W.

    2010-01-01

    BACKGROUND An ectopic pregnancy is a pregnancy which occurs outside of the uterine cavity, and over 98% implant in the Fallopian tube. Tubal ectopic pregnancy remains the most common cause of maternal mortality in the first trimester of pregnancy. The epidemiological risk factors for tubal ectopic pregnancy are well established and include: tubal damage as a result of surgery or infection (particularly Chlamydia trachomatis), smoking and in vitro fertilization. This review appraises the data to date researching the aetiology of tubal ectopic pregnancy. METHODS Scientific literature was searched for studies investigating the underlying aetiology of tubal ectopic pregnancy. RESULTS Existing data addressing the underlying cause of tubal ectopic pregnancy are mostly descriptive. There are currently few good animal models of tubal ectopic pregnancy. There are limited data explaining the link between risk factors and tubal implantation. CONCLUSIONS Current evidence supports the hypothesis that tubal ectopic pregnancy is caused by a combination of retention of the embryo within the Fallopian tube due to impaired embryo-tubal transport and alterations in the tubal environment allowing early implantation to occur. Future studies are needed that address the functional consequences of infection and smoking on Fallopian tube physiology. A greater understanding of the aetiology of tubal ectopic pregnancy is critical for the development of improved preventative measures, the advancement of diagnostic screening methods and the development of novel treatments. PMID:20071358

  4. Minimizing Human Risk: Human Performance Models in the Space Human Factors and Habitability and Behavioral Health and Performance Elements

    Science.gov (United States)

    Gore, Brian F.

    2016-01-01

    Human space exploration has never been more exciting than it is today. Human presence to outer worlds is becoming a reality as humans are leveraging much of our prior knowledge to the new mission of going to Mars. Exploring the solar system at greater distances from Earth than ever before will possess some unique challenges, which can be overcome thanks to the advances in modeling and simulation technologies. The National Aeronautics and Space Administration (NASA) is at the forefront of exploring our solar system. NASA's Human Research Program (HRP) focuses on discovering the best methods and technologies that support safe and productive human space travel in the extreme and harsh space environment. HRP uses various methods and approaches to answer questions about the impact of long duration missions on the human in space including: gravity's impact on the human body, isolation and confinement on the human, hostile environments impact on the human, space radiation, and how the distance is likely to impact the human. Predictive models are included in the HRP research portfolio as these models provide valuable insights into human-system operations. This paper will provide an overview of NASA's HRP and will present a number of projects that have used modeling and simulation to provide insights into human-system issues (e.g. automation, habitat design, schedules) in anticipation of space exploration.

  5. Generalization of category knowledge and dimensional categorization in humans (Homo sapiens) and nonhuman primates (Macaca mulatta).

    Science.gov (United States)

    Smith, J David; Zakrzewski, Alexandria C; Johnston, Jennifer J R; Roeder, Jessica L; Boomer, Joseph; Ashby, F Gregory; Church, Barbara A

    2015-10-01

    A theoretical framework within neuroscience distinguishes humans' implicit and explicit systems for category learning. We used a perceptual-categorization paradigm to ask whether nonhumans share elements of these systems. Participants learned categories that foster implicit or explicit categorization in humans, because they had a multidimensional, information-integration (II) solution or a unidimensional, rule-based (RB) solution. Then humans and macaques generalized their category knowledge to new, untested regions of the stimulus space. II generalization was impaired, suggesting that II category learning is conditioned and constrained by stimulus generalization to its original, trained stimulus contexts. RB generalization was nearly seamless, suggesting that RB category knowledge in humans and monkeys has properties that grant it some independence from the original, trained stimulus contexts. These findings raise the questions of (a) how closely macaques' dimensional categorization verges on humans' explicit/declarative categorization, and (b) how far macaques' dimensional categorization has advanced beyond that in other vertebrate species.

  6. The Structure of Preschoolers' Emotion Knowledge: Model Equivalence and Validity Using a Structural Equation Modeling Approach

    Science.gov (United States)

    Bassett, Hideko Hamada; Denham, Susanne; Mincic, Melissa; Graling, Kelly

    2012-01-01

    Research Findings: A theory-based 2-factor structure of preschoolers' emotion knowledge (i.e., recognition of emotional expression and understanding of emotion-eliciting situations) was tested using confirmatory factor analysis. Compared to 1- and 3-factor models, the 2-factor model showed a better fit to the data. The model was found to be…

  7. Linking Human Resource Management and Knowledge Management via Commitment to Safety

    Directory of Open Access Journals (Sweden)

    Kuimet Karin

    2015-11-01

    Full Text Available This paper contributes to the development of the human resource management (HRM, organisational (safety culture and knowledge management literature through developing the linkage and relationship among them. The article suggests that the HRM concepts and frameworks could play an important role in the safety knowledge exchange within the organisation. The research method includes exploratory case studies, interviews and evaluation questionnaires in order to clarify how HRM practices are adopted for safety management systems.

  8. German medical students' interest in and knowledge about human sexuality in 1972 and 2012.

    Science.gov (United States)

    Turner, Daniel; Jopt, Konstantin; Nieder, Timo O; Briken, Peer

    2014-08-01

    During the 1970s, a growing number of medical schools began to recognize the importance of medical education concerning human sexuality. Currently, most medical schools provide at least some instruction in human sexuality. In light of this development, the present study aimed to compare the interest in and knowledge about human sexuality of medical students from two different time periods. The answers to a self-constructed questionnaire of 236 students in 1972 were compared with those of 259 students in 2012. Students were asked whether they were interested in education regarding human sexuality and which specific topics they felt should be included in the medical curriculum. The students' knowledge in the following domains was assessed: sexual development, sexual behavior, sexual physiology and psychology, and sexual medicine. The two cohorts were compared with regard to those specific sexuality-related topics in which the students were most and least interested in. Furthermore, the number of correct responses to the knowledge questions was compared. While in 1972, 99.2% of the students were interested in medical education about human sexuality, in 2012, 80.3% showed an interest. The connection of disorders from different medical disciplines with sexuality was rated as most interesting by both the students from 1972 and 2012. Medical students from 2012 gave 50.3% correct answers to the knowledge questions, whereas students from 1972 correctly answered 46.3% of the questions. Although interest in education concerning human sexuality has decreased, the majority of students view it as an important topic. Nevertheless, medical students still lack knowledge about important aspects of human sexuality (e.g., psychosexual development and relative safety of different contraceptives). Therefore, more time should be dedicated to education concerning human sexuality and its cultural, societal, and health aspects in particular. © 2014 International Society for Sexual Medicine.

  9. Human Thermal Model Evaluation Using the JSC Human Thermal Database

    Science.gov (United States)

    Bue, Grant; Makinen, Janice; Cognata, Thomas

    2012-01-01

    Human thermal modeling has considerable long term utility to human space flight. Such models provide a tool to predict crew survivability in support of vehicle design and to evaluate crew response in untested space environments. It is to the benefit of any such model not only to collect relevant experimental data to correlate it against, but also to maintain an experimental standard or benchmark for future development in a readily and rapidly searchable and software accessible format. The Human thermal database project is intended to do just so; to collect relevant data from literature and experimentation and to store the data in a database structure for immediate and future use as a benchmark to judge human thermal models against, in identifying model strengths and weakness, to support model development and improve correlation, and to statistically quantify a model s predictive quality. The human thermal database developed at the Johnson Space Center (JSC) is intended to evaluate a set of widely used human thermal models. This set includes the Wissler human thermal model, a model that has been widely used to predict the human thermoregulatory response to a variety of cold and hot environments. These models are statistically compared to the current database, which contains experiments of human subjects primarily in air from a literature survey ranging between 1953 and 2004 and from a suited experiment recently performed by the authors, for a quantitative study of relative strength and predictive quality of the models.

  10. Strategies for transforming human service organizations into learning organizations: knowledge management and the transfer of learning.

    Science.gov (United States)

    Austin, Michael J

    2008-01-01

    This analysis describes the nature of a learning organization, defines the boundaries of evidence-informed practice, identifies the elements of knowledge management, and specifies the elements of the transfer of learning. A set of principles are presented to guide managers in transforming human service organizations into learning organizations along with a set of implementation strategies that can inform participants of the values and benefits of knowledge management. This analysis features concepts and principles adapted and synthesized from research in diverse fields, such as evidence-based health care and the for-profit sector related to learning organizations, knowledge management, and the transfer of learning.

  11. Modeling Forces on the Human Body.

    Science.gov (United States)

    Pagonis, Vasilis; Drake, Russel; Morgan, Michael; Peters, Todd; Riddle, Chris; Rollins, Karen

    1999-01-01

    Presents five models of the human body as a mechanical system which can be used in introductory physics courses: human arms as levers, humans falling from small heights, a model of the human back, collisions during football, and the rotating gymnast. Gives ideas for discussions and activities, including Interactive Physics (TM) simulations. (WRM)

  12. Aviation Safety Risk Modeling: Lessons Learned From Multiple Knowledge Elicitation Sessions

    Science.gov (United States)

    Luxhoj, J. T.; Ancel, E.; Green, L. L.; Shih, A. T.; Jones, S. M.; Reveley, M. S.

    2014-01-01

    Aviation safety risk modeling has elements of both art and science. In a complex domain, such as the National Airspace System (NAS), it is essential that knowledge elicitation (KE) sessions with domain experts be performed to facilitate the making of plausible inferences about the possible impacts of future technologies and procedures. This study discusses lessons learned throughout the multiple KE sessions held with domain experts to construct probabilistic safety risk models for a Loss of Control Accident Framework (LOCAF), FLightdeck Automation Problems (FLAP), and Runway Incursion (RI) mishap scenarios. The intent of these safety risk models is to support a portfolio analysis of NASA's Aviation Safety Program (AvSP). These models use the flexible, probabilistic approach of Bayesian Belief Networks (BBNs) and influence diagrams to model the complex interactions of aviation system risk factors. Each KE session had a different set of experts with diverse expertise, such as pilot, air traffic controller, certification, and/or human factors knowledge that was elicited to construct a composite, systems-level risk model. There were numerous "lessons learned" from these KE sessions that deal with behavioral aggregation, conditional probability modeling, object-oriented construction, interpretation of the safety risk results, and model verification/validation that are presented in this paper.

  13. The Motivational Knowledge Management Model: proposal to apply it in the library sector

    Directory of Open Access Journals (Sweden)

    Daniel López-Fernández

    2016-12-01

    Full Text Available In professional environments, attention paid to aspects such as supervisory styles, interpersonal relationships and workers eagerness can have a positive impact on employee motivation and, consequently, on their performance and well-being. To achieve this, knowledge management models such as those presented here can be applied. This model generates diagnoses of motivation and recommendations for improvement, both systematically and scientifically. Consequently, it is especially useful for managers and human resource departments. The proposed model can be adapted to different kinds of professional groups, including those in library and documentation services. The suitability, reliability and usefulness of the proposed model have been empirically checked through case studies with 92 students and 166 professionals. The positive results allow us to conclude that the model is effective and useful for assessing and improving motivation.

  14. A knowledge discovery object model API for Java

    Directory of Open Access Journals (Sweden)

    Jones Steven JM

    2003-10-01

    Full Text Available Abstract Background Biological data resources have become heterogeneous and derive from multiple sources. This introduces challenges in the management and utilization of this data in software development. Although efforts are underway to create a standard format for the transmission and storage of biological data, this objective has yet to be fully realized. Results This work describes an application programming interface (API that provides a framework for developing an effective biological knowledge ontology for Java-based software projects. The API provides a robust framework for the data acquisition and management needs of an ontology implementation. In addition, the API contains classes to assist in creating GUIs to represent this data visually. Conclusions The Knowledge Discovery Object Model (KDOM API is particularly useful for medium to large applications, or for a number of smaller software projects with common characteristics or objectives. KDOM can be coupled effectively with other biologically relevant APIs and classes. Source code, libraries, documentation and examples are available at http://www.bcgsc.ca/bioinfo/software.

  15. Cultivating Humanity or Educating the Human? Two Options for Education in the Knowledge Age

    Science.gov (United States)

    Biesta, Gert

    2014-01-01

    Ever since the idea of the "knowledge society" came into circulation, there have been discussions about what the term empirically "might" mean and normatively "should" mean. In the literature we can find a rather wide spectrum, ranging from a "utilitarian" interpretation of the knowledge society as a…

  16. A human neurodevelopmental model for Williams syndrome.

    Science.gov (United States)

    Chailangkarn, Thanathom; Trujillo, Cleber A; Freitas, Beatriz C; Hrvoj-Mihic, Branka; Herai, Roberto H; Yu, Diana X; Brown, Timothy T; Marchetto, Maria C; Bardy, Cedric; McHenry, Lauren; Stefanacci, Lisa; Järvinen, Anna; Searcy, Yvonne M; DeWitt, Michelle; Wong, Wenny; Lai, Philip; Ard, M Colin; Hanson, Kari L; Romero, Sarah; Jacobs, Bob; Dale, Anders M; Dai, Li; Korenberg, Julie R; Gage, Fred H; Bellugi, Ursula; Halgren, Eric; Semendeferi, Katerina; Muotri, Alysson R

    2016-08-18

    Williams syndrome is a genetic neurodevelopmental disorder characterized by an uncommon hypersociability and a mosaic of retained and compromised linguistic and cognitive abilities. Nearly all clinically diagnosed individuals with Williams syndrome lack precisely the same set of genes, with breakpoints in chromosome band 7q11.23 (refs 1-5). The contribution of specific genes to the neuroanatomical and functional alterations, leading to behavioural pathologies in humans, remains largely unexplored. Here we investigate neural progenitor cells and cortical neurons derived from Williams syndrome and typically developing induced pluripotent stem cells. Neural progenitor cells in Williams syndrome have an increased doubling time and apoptosis compared with typically developing neural progenitor cells. Using an individual with atypical Williams syndrome, we narrowed this cellular phenotype to a single gene candidate, frizzled 9 (FZD9). At the neuronal stage, layer V/VI cortical neurons derived from Williams syndrome were characterized by longer total dendrites, increased numbers of spines and synapses, aberrant calcium oscillation and altered network connectivity. Morphometric alterations observed in neurons from Williams syndrome were validated after Golgi staining of post-mortem layer V/VI cortical neurons. This model of human induced pluripotent stem cells fills the current knowledge gap in the cellular biology of Williams syndrome and could lead to further insights into the molecular mechanism underlying the disorder and the human social brain.

  17. A Knowledge Model- and Growth Model-Based Decision Support System for Wheat Management

    Institute of Scientific and Technical Information of China (English)

    ZHU Yan; CAO Wei-xing; WANG Qi-meng; TIAN Yong-chao; PAN Jie

    2003-01-01

    By applying the system analysis principle and mathematical modeling technique to knowledge expression system for crop cultural management, the fundamental relationships and quantitative algorithms of wheat growth and management indices to variety types, ecological environments and production levels were analysed and extracted, and a dynamic knowledge model with temporal and spatial characters for wheat management (WheatKnow) was developed. By adopting the soft component characteristics as non language rele vance, re-utilization and portable system maintenance, and by further integrating the wheat growth simulation model (WheatGrow) and intelligent system for wheat management, a comprehensive and digital knowledge model, growth model and component-based decision support system for wheat management (MBDSSWM) was established on the platforms of Visual C++ and Visual Basic. The MBDSSWM realized the effective integration and coupling of the prediction and decision-making functions for digital crop management.

  18. A Knowledge Modeling Method for Computer Graphics Design & Production Based on Ontology

    Directory of Open Access Journals (Sweden)

    Chen Tong

    2017-01-01

    Full Text Available As one of the most critical stages of CG (Computer Graphics industry, CG design & production needs the support of professional knowledge and practice experience of multidisciplinary. With the outstanding performance in knowledge sharing, integration and reuse, knowledge modeling could increase greatly the efficiency, reduce the cost and avoid repeated error in CG design & production. However, knowledge modeling of CG design & production differs greatly from those of other fields. On the one hand, it is similar to physical product design, which involves great deal of tacit knowledge such as modeling skills, reasoning knowledge and so on. On the other hand, as film, CG design & production needs a lot of unstructured description information. The heterogeneity between physical product and film makes knowledge modeling more complicated. Thus a systematic knowledge modelling method based on Ontology is proposed to aid CG design & production in this paper. CG animation knowledge is capture and organized from viewpoint of three aspects: requirements and design and production. The knowledge are categorized into static and dynamic knowledge, and Ontology is adopted to construct a hierarchic model to organize the knowledge, so as to offer a uniform communication semantic foundations for designers from different fields. Based on animation script, the CG design task model is proposed to drive the organization and management of different knowledge involved in CG design & production. Finally, we apply this method in the knowledge modeling of naked-eye animation design and production to illustrate effectiveness of this method.

  19. Distributed Cognition and the Shared Knowledge Model of the Mazahua: A Cultural Approach.

    Science.gov (United States)

    de Haan, Mariette

    2002-01-01

    Discussion of distributed cognition and school reform focuses on the teaching and learning practices of a Native American group, the Mexican Mazahuas. Topics include knowledge construction; a shared knowledge model of learning; interconnectedness between knowledge and practice; models of guidance; cognitive apprenticeship models; shared…

  20. University Students' Knowledge and Attitudes Regarding Cervical Cancer, Human Papillomavirus, and Human Papillomavirus Vaccines in Turkey

    Science.gov (United States)

    Koç, Zeliha

    2015-01-01

    Objectives: The current descriptive study aimed to determine university students' knowledge and attitudes regarding cervical cancer, human papillomavirus (HPV), and HPV vaccines in Turkey. Participants: A total of 800 students participated. Methods: This study was carried out between September 1, 2012, and October 30, 2012, in 8 female…

  1. LINKING HUMAN RESOURCES STRATEGY WITH KNOWLEDGE MANAGEMENT STRATEGY TO DRIVE MEASURABLE RESULTS

    Directory of Open Access Journals (Sweden)

    Otilia‐Maria\tBORDEIANU

    2015-06-01

    Full Text Available Today the human resources are seen as a very valuable asset to achieve long-term performance. Today we understand that every employee is required to learn throughout life, so to acquire new knowledge, to process such knowledge and possibly disseminate expertise with other members of the organization. The theory on human resources in various organizations has changed over time; recommendations have become more numerous, but there is no consensus on the subject. In other words, the permanent change which defines the competitive environment of business remains a type of constant when analysing the efficiency of human resources within companies; inter-individual relations (formal and informal and the values to which each employee relates remains crucial for any theoretical construction in this area. Principles and strategies applied by organizations yesterday could prove their inefficiency today; human resource strategies in organizations today should include a separate subcomponent, we believe, i.e. knowledge management (KM strategy. This is because the competitive advantage obtained or maintained by the company depends today, in large proportion, on the type, quality and value of knowledge possessed by the organization. Therefore, organizational strategy and thus the strategy of acquisition, developing and rewarding of human resources (HR should take into account this reality from the global environment. Moreover, in the current knowledge-driven economy, organizations must know how to develop and implement knowledge-based strategies to drive measurable business results. The goal of this paper is to describe a potential relation between the overall company strategy, HR strategy and KM strategy.

  2. MODELING HUMAN COMPREHENSION OF DATA VISUALIZATIONS.

    Energy Technology Data Exchange (ETDEWEB)

    Matzen, Laura E.; Haass, Michael Joseph; Divis, Kristin Marie; Wilson, Andrew T.

    2017-09-01

    This project was inspired by two needs. The first is a need for tools to help scientists and engineers to design effective data visualizations for communicating information, whether to the user of a system, an analyst who must make decisions based on complex data, or in the context of a technical report or publication. Most scientists and engineers are not trained in visualization design, and they could benefit from simple metrics to assess how well their visualization's design conveys the intended message. In other words, will the most important information draw the viewer's attention? The second is the need for cognition-based metrics for evaluating new types of visualizations created by researchers in the information visualization and visual analytics communities. Evaluating visualizations is difficult even for experts. However, all visualization methods and techniques are intended to exploit the properties of the human visual system to convey information efficiently to a viewer. Thus, developing evaluation methods that are rooted in the scientific knowledge of the human visual system could be a useful approach. In this project, we conducted fundamental research on how humans make sense of abstract data visualizations, and how this process is influenced by their goals and prior experience. We then used that research to develop a new model, the Data Visualization Saliency Model, that can make accurate predictions about which features in an abstract visualization will draw a viewer's attention. The model is an evaluation tool that can address both of the needs described above, supporting both visualization research and Sandia mission needs.

  3. Human papillomavirus (HPV) knowledge and prevention practices among Sierra Sur, Oaxaca college students

    OpenAIRE

    Bustamante Ramos, Gisela Mayra; Instituto de Investigación sobre la Salud Pública (IISSP), Universidad de la Sierra Sur, Oaxaca, México; Martínez-Sánchez, Abisai; Instituto de Investigación sobre la Salud Pública (IISSP), Universidad de la Sierra Sur, Oaxaca, México; Tenahua-Quitl, Inés; Facultad de Enfermería, Benemérita Universidad Autónoma de Puebla, México; Jiménez, Concepción; Estudiante de la licenciatura en Enfermería, Instituto de Investigación sobre la Salud Pública (IISSP), Universidad de la Sierra Sur, Oaxaca, México; López Mendoza, Yarely; Estudiante de la licenciatura en Enfermería, Instituto de Investigación sobre la Salud Pública (IISSP), Universidad de la Sierra Sur, Oaxaca, México

    2016-01-01

    Introduction. Human papillomavirus (HPV) causes the world’s most important sexually transmitted infection and is considered the main agent for cervical cancer. Youngsters are most vulnerable as they usually begin sexual relations without protection. Objectives. To describe students’ knowledge of human papillomavirus infection prevention at Sierra Sur, Oaxaca University. Design. Quantitative, descriptive cross-sectional study. Place. Sierra Sur, Oaxaca, Mexico. Participants. University student...

  4. Models of knowledge management in Russian institutions: social and psychological analysis

    Directory of Open Access Journals (Sweden)

    Nestik Timofei Aleksandrovich

    2014-12-01

    Full Text Available The paper presents socio-psychological analysis of five knowledge management models used in Russian institutions: knowledge management in projects, virtual expert groups, competence centers, knowledge management via organization development and open innovations. Special attention is given to the consequences of transition to network-based knowledge management.

  5. How students learn to coordinate knowledge of physical and mathematical models in cellular physiology

    Science.gov (United States)

    Lira, Matthew

    This dissertation explores the Knowledge in Pieces (KiP) theory to account for how students learn to coordinate knowledge of mathematical and physical models in biology education. The KiP approach characterizes student knowledge as a fragmented collection of knowledge elements as opposed to stable and theory-like knowledge. This dissertation sought to use this theoretical lens to account for how students understand and learn with mathematical models and representations, such as equations. Cellular physiology provides a quantified discipline that leverages concepts from mathematics, physics, and chemistry to understand cellular functioning. Therefore, this discipline provides an exemplary context for assessing how biology students think and learn with mathematical models. In particular, the resting membrane potential provides an exemplary concept well defined by models of dynamic equilibrium borrowed from physics and chemistry. In brief, membrane potentials, or voltages, "rest" when the electrical and chemical driving forces for permeable ionic species are equal in magnitude but opposite in direction. To assess students' understandings of this concept, this dissertation employed three studies: the first study employed the cognitive clinical interview to assess student thinking in the absence and presence of equations. The second study employed an intervention to assess student learning and the affordances of an innovative assessment. The third student employed a human-computer-interaction paradigm to assess how students learn with a novel multi-representational technology. Study 1 revealed that students saw only one influence--the chemical gradient--and that students coordinated knowledge of only this gradient with the related equations. Study 2 revealed that students benefited from learning with the multi-representational technology and that the assessment detected performance gains across both calculation and explanation tasks. Last, Study 3 revealed how students

  6. Knowledge Translation for Research Utilization: Design of a Knowledge Translation Model at Tehran University of Medical Sciences

    Science.gov (United States)

    Majdzadeh, Reza; Sadighi, Jila; Nejat, Saharnaz; Mahani, Ali Shahidzade; Gholami, Jaleh

    2008-01-01

    Introduction: The present study aimed to generate a model that would provide a conceptual framework for linking disparate components of knowledge translation. A theoretical model of such would enable the organization and evaluation of attempts to analyze current conditions and to design interventions on the transfer and utilization of research…

  7. Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development.

    Science.gov (United States)

    Pendergrass, Sarah A; Frase, Alex; Wallace, John; Wolfe, Daniel; Katiyar, Neerja; Moore, Carrie; Ritchie, Marylyn D

    2013-12-30

    The ever-growing wealth of biological information available through multiple comprehensive database repositories can be leveraged for advanced analysis of data. We have now extensively revised and updated the multi-purpose software tool Biofilter that allows researchers to annotate and/or filter data as well as generate gene-gene interaction models based on existing biological knowledge. Biofilter now has the Library of Knowledge Integration (LOKI), for accessing and integrating existing comprehensive database information, including more flexibility for how ambiguity of gene identifiers are handled. We have also updated the way importance scores for interaction models are generated. In addition, Biofilter 2.0 now works with a range of types and formats of data, including single nucleotide polymorphism (SNP) identifiers, rare variant identifiers, base pair positions, gene symbols, genetic regions, and copy number variant (CNV) location information. Biofilter provides a convenient single interface for accessing multiple publicly available human genetic data sources that have been compiled in the supporting database of LOKI. Information within LOKI includes genomic locations of SNPs and genes, as well as known relationships among genes and proteins such as interaction pairs, pathways and ontological categories.Via Biofilter 2.0 researchers can:• Annotate genomic location or region based data, such as results from association studies, or CNV analyses, with relevant biological knowledge for deeper interpretation• Filter genomic location or region based data on biological criteria, such as filtering a series SNPs to retain only SNPs present in specific genes within specific pathways of interest• Generate Predictive Models for gene-gene, SNP-SNP, or CNV-CNV interactions based on biological information, with priority for models to be tested based on biological relevance, thus narrowing the search space and reducing multiple hypothesis-testing. Biofilter is a software

  8. Modelling the scaling properties of human mobility

    Science.gov (United States)

    Song, Chaoming; Koren, Tal; Wang, Pu; Barabási, Albert-László

    2010-10-01

    Individual human trajectories are characterized by fat-tailed distributions of jump sizes and waiting times, suggesting the relevance of continuous-time random-walk (CTRW) models for human mobility. However, human traces are barely random. Given the importance of human mobility, from epidemic modelling to traffic prediction and urban planning, we need quantitative models that can account for the statistical characteristics of individual human trajectories. Here we use empirical data on human mobility, captured by mobile-phone traces, to show that the predictions of the CTRW models are in systematic conflict with the empirical results. We introduce two principles that govern human trajectories, allowing us to build a statistically self-consistent microscopic model for individual human mobility. The model accounts for the empirically observed scaling laws, but also allows us to analytically predict most of the pertinent scaling exponents.

  9. Dichotomous Identification Keys: A Ladder to Higher Order Knowledge about the Human Body

    Science.gov (United States)

    Sorgo, Andrej

    2006-01-01

    We tried to enrich teaching human anatomy in high school biology lessons. Students construct dichotomous identification keys to the cells, tissues, organs, or body parts. By doing this, students have achieved higher-order cognitive levels of knowledge because construction of such keys is based on analysis, synthesis, and evaluation. Students found…

  10. Information about Human Sexuality: Sources, Satisfaction, and Perceived Knowledge among College Students

    Science.gov (United States)

    Rutledge, Scott Edward; Siebert, Darcy Clay; Chonody, Jill; Killian, Michael

    2011-01-01

    This study explored how 333 undergraduate and graduate students attending a large university in the southeastern USA learned about sex, their satisfaction with how they learned about sex, and their self-perceived knowledge before and after taking a human sexuality course. An anonymous, voluntary survey was administered to students in the first and…

  11. Human papillomavirus and anorectal carcinoma knowledge in men who have sex with men.

    Science.gov (United States)

    Blackwell, Christopher W; Eden, Candace

    2011-01-01

    Human papillomavirus (HPV) infection is a precursor to the development of anorectal carcinoma. Studies have indicated that men who have sex with men (MSM) have significantly higher rates of HPV and HIV than their heterosexual counterparts and are at greater risk for anorectal carcinoma. This article presents findings from a descriptive study to assess knowledge of HPV, anorectal carcinoma, and anorectal screening in a sample of MSM in Orlando, FL. The 89 participants demonstrated knowledge deficits. The average score on knowledge items was only 38% correct. Of the 49 participants who had heard of anal Papanicolau (Pap) smears, only 5 (10.2%) discussed screening with a physician, while 8 (16.3%) had discussed it with a nurse, and 16 (32.7%) with another health care professional. Findings support the need for community outreach efforts to promote knowledge and the need for discussion with providers regarding HPV and anorectal carcinoma in this vulnerable population.

  12. Enabling Integrated Decision Making for Electronic-Commerce by Modelling an Enterprise's Sharable Knowledge.

    Science.gov (United States)

    Kim, Henry M.

    2000-01-01

    An enterprise model, a computational model of knowledge about an enterprise, is a useful tool for integrated decision-making by e-commerce suppliers and customers. Sharable knowledge, once represented in an enterprise model, can be integrated by the modeled enterprise's e-commerce partners. Presents background on enterprise modeling, followed by…

  13. Enabling Integrated Decision Making for Electronic-Commerce by Modelling an Enterprise's Sharable Knowledge.

    Science.gov (United States)

    Kim, Henry M.

    2000-01-01

    An enterprise model, a computational model of knowledge about an enterprise, is a useful tool for integrated decision-making by e-commerce suppliers and customers. Sharable knowledge, once represented in an enterprise model, can be integrated by the modeled enterprise's e-commerce partners. Presents background on enterprise modeling, followed by…

  14. The Role of Human Resource Management Practice Mediated by Knowledge Management (Study on companies from ICT sector, Croatia

    Directory of Open Access Journals (Sweden)

    Marina Klacmer Calopa

    2015-05-01

    Full Text Available This paper integrates theories and findings of the role of human resources management (HRM in the process of knowledge management (KM in the information and communication technologies (ICT sector in Croatia.In order to succeed, companies must prevent the loss of knowledge. Therefore, they must recognize the importance of human resources as the main factor of business. Only knowledge management enables knowledge sharing.Furthermore, applications of information technology (IT in the field of HRM can prevent the loss of knowledge and arise the transfer of knowledge among employees.For the purpose of this paper, a survey regarding human resource and knowledge management in IT companies is conducted in order to analyze the structure of HR and the importance of knowledge sharing in an organization.

  15. Human Performance Modeling for Dynamic Human Reliability Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Boring, Ronald Laurids [Idaho National Laboratory; Joe, Jeffrey Clark [Idaho National Laboratory; Mandelli, Diego [Idaho National Laboratory

    2015-08-01

    Part of the U.S. Department of Energy’s (DOE’s) Light Water Reac- tor Sustainability (LWRS) Program, the Risk-Informed Safety Margin Charac- terization (RISMC) Pathway develops approaches to estimating and managing safety margins. RISMC simulations pair deterministic plant physics models with probabilistic risk models. As human interactions are an essential element of plant risk, it is necessary to integrate human actions into the RISMC risk framework. In this paper, we review simulation based and non simulation based human reliability analysis (HRA) methods. This paper summarizes the founda- tional information needed to develop a feasible approach to modeling human in- teractions in RISMC simulations.

  16. Hubungan antara Knowledge-Technology-Innovation (KTI, Commitment, Competence, Leadership, Government Policy, Human Capital, dan Competitive Advantage

    Directory of Open Access Journals (Sweden)

    Darjat Sudrajat

    2014-05-01

    Full Text Available In current tight competitive situation, companies always try to create differentiation anytime to achieve better and sustainable performance. Rapid and unpredictable changes insist the companies should always be innovative, so that aspects of globalization, e-business, technology innovation, creativity, global competition, knowledge creation, diffusion of new technologies and knowledge revolution should be sources of performance and competitiveness improvement. Therefore, tomaintain core competencies and competitive advantage, the companies should develop continuous innovation, technologylearning, and knowledge management. Knowledge-Technology-Innovation (KTI can be a driver for country’s development and growth. Japan, South Korea, and Singapore are the countries that have limited natural and human resources, but able to achieve sustainable economic development. KTI is not only to be practiced at individual and organizational level, but also can be implemented at the community, national, or state level. KTI, therefore, can encourage expected competitive advantage creation and become a decisive factor for a country to achieve stable and sustainable economic growth. This research intends to analyze relationships of KTI, competitive advantage, commitment, leadership, human capital, government policy,and competence. This research used correlational method and literature study approach. The result of this research is a relationship model of each of these aspects that can be used as a framework for further research. The relationships model isas follows: Leadership, competence, and human capital (as independent variables have direct relationship (influence oncompetitive advantage (dependent variable or indirectly (through KTI as an intervening variable; KTI has direct relationship (effect on competitive advantage; Government policy and commitment are moderator variables for relationshipof KTI and competitive advantage.

  17. HUBUNGAN ANTARA KNOWLEDGE-TECHNOLOGY-INNOVATION (KTI, COMMITMENT, COMPETENCE, LEADERSHIP, GOVERNMENT POLICY, HUMAN CAPITAL, DAN COMPETITIVE ADVANTAGE

    Directory of Open Access Journals (Sweden)

    Darjat Sudrajat

    2014-07-01

    Full Text Available In current tight competitive situation, companies always try to create differentiation anytime to achieve better and sustainable performance. Rapid and unpredictable changes insist the companies should always be innovative, so that aspects of globalization, e-business, technology innovation, creativity, global competition, knowledge creation, diffusion of new technologies and knowledge revolution should be sources of performance and competitiveness improvement. Therefore, to maintain core competencies and competitive advantage, the companies should develop continuous innovation, technology learning, and knowledge management. Knowledge-Technology-Innovation (KTI can be a driver for countrys development and growth. Japan, South Korea, and Singapore are the countries that have limited natural and human resources, but able to achieve sustainable economic development. KTI is not only to be practiced at individual and organizational level, but also can be implemented at the community, national, or state level. KTI, therefore, can encourage expected competitive advantage creation and become a decisive factor for a country to achieve stable and sustainable economic growth. This research intends to analyze relationships of KTI, competitive advantage, commitment, leadership, human capital, government policy, and competence. This research used correlational method and literature study approach. The result of this research is a relationship model of each of these aspects that can be used as a framework for further research. The relationships model is as follows: Leadership, competence, and human capital (as independent variables have direct relationship (influence on competitive advantage (dependent variable or indirectly (through KTI as an intervening variable; KTI has direct relationship (effect on competitive advantage; Government policy and commitment are moderator variables for relationship of KTI and competitive advantage.

  18. An Examination of the Human Factors Attitudes and Knowledge of Surface Warfare Officers

    Science.gov (United States)

    2009-12-01

    result from a single error. This idea is captured by the most widely known model of accident causation of human error—the “Swiss Cheese ” model (Reason...London: Lloyds List Events. Booher, H. (2003). Handbook of human systems integration. New Jersey: John Wiley & Sons. Canadian Transportation

  19. Modeling Social Influences in a Knowledge Management Network

    Science.gov (United States)

    Franco, Giacomo; Maresca, Paolo; Nota, Giancarlo

    2010-01-01

    The issue of knowledge management in a distributed network is receiving increasing attention from both scientific and industrial organizations. Research efforts in this field are motivated by the awareness that knowledge is more and more perceived as a primary economic resource and that, in the context of organization of organizations, the…

  20. Designing a Trust Evaluation Model for Open-Knowledge Communities

    Science.gov (United States)

    Yang, Xianmin; Qiu, Qin; Yu, Shengquan; Tahir, Hasan

    2014-01-01

    The openness of open-knowledge communities (OKCs) leads to concerns about the knowledge quality and reliability of such communities. This confidence crisis has become a major factor limiting the healthy development of OKCs. Earlier studies on trust evaluation for Wikipedia considered disadvantages such as inadequate influencing factors and…

  1. The Knowledge of Teaching: The K3P3 Model

    Science.gov (United States)

    Kolis, Mickey; Dunlap, William P.

    2004-01-01

    Good teaching is ultimately deeply and thoroughly grounded in knowledge. The days of the "if you can't do anything else, then teach" mentality are long gone, ushered out due to major changes in knowledge about effective teaching. The National Board for Professional Teaching Standards, National Council for the Accreditation of Teacher Education…

  2. Modeling Social Influences in a Knowledge Management Network

    Science.gov (United States)

    Franco, Giacomo; Maresca, Paolo; Nota, Giancarlo

    2010-01-01

    The issue of knowledge management in a distributed network is receiving increasing attention from both scientific and industrial organizations. Research efforts in this field are motivated by the awareness that knowledge is more and more perceived as a primary economic resource and that, in the context of organization of organizations, the…

  3. Use of prior knowledge in biological systems modelling

    NARCIS (Netherlands)

    Reshetova, P.V.

    2017-01-01

    An enormous amount of biological knowledge has been generated by the scientific community and is available from a large number of biological databases, scientific literature, and domain experts. This knowledge is actively used to define new hypotheses and to validate new findings, but it may also be

  4. Implementing a Technology-Supported Model for Cross-Organisational Learning and Knowledge Building for Teachers

    Science.gov (United States)

    Tammets, Kairit; Pata, Kai; Laanpere, Mart

    2012-01-01

    This study proposed using the elaborated learning and knowledge building model (LKB model) derived from Nonaka and Takeuchi's knowledge management model for supporting cross-organisational teacher development in the temporarily extended organisations composed of universities and schools. It investigated the main LKB model components in the context…

  5. Omissions in managing knowledge in innovation processes or how to handle knowledge, humans and tasks : A semio-cognitive approach

    NARCIS (Netherlands)

    Cijsouw, R. S.; Jorna, R. J.; Rakhorst, G.; Verkerke, G. J.; Charrel, PJ; Galarreta, D

    2007-01-01

    In organizations, innovation is a long-lasting process that is difficult to manage. Innovation is characterized by the use of new (combinations of) knowledge. Innovation, as knowledge creation, is also an activity of individuals. However, neither the individual nor knowledge is studied as appropriat

  6. Review of Cold war social science: Knowledge production, liberal democracy, and human nature, and Working knowledge: Making the human sciences from Parsons to Kuhn.

    Science.gov (United States)

    Erickson, Paul

    2013-11-01

    Reviews the books, Cold War Social Science: Knowledge Production, Liberal Democracy, and Human Nature by Mark Solovey and Hamilton Cravens (2012) and Working Knowledge: Making the Human Sciences From Parsons to Kuhn by Joel Isaac (see record 2012-13212-000). Taken together, these two important books make intriguing statements about the way to write the histories of fields like psychology, sociology, anthropology, and economics in the Anglo American world during the 20th century. To date, histories of these fields have drawn on a number of fairly well-established punctuation marks to assist in periodization: the shift from interwar institutionalism in economics to postwar neoclassicism, with its physics-like emphasis on mathematical theory-building; the transition from the regnant prewar behaviorism through a postwar "cognitive revolution" in American psychology; and the move in fields like sociology and anthropology away from positivism and the pursuit of what has sometimes been called "grand theory" in the early postwar era toward a period defined by intellectual and political fragmentation, the reemergence of interpretive approaches and a reaction to the scientistic pretensions of the earlier period. These books, by contrast, provide perspectives orthogonal to such existing narrative frameworks by adopting cross-cutting lenses like the "Cold War" and the working practices of researchers in the social and behavioral sciences. As a result, they do much to indicate the value of casting a historiographical net beyond individual disciplines, or even beyond the "social sciences" or the "human sciences" sensu stricto, in the search for deeper patterns of historical development in these fields. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

  7. Humanized in vivo Model for Autoimmune Diabetes

    Science.gov (United States)

    2009-02-01

    AWARD NUMBER: W81XWH-07-1-0121 TITLE: Humanized in vivo Model for Autoimmune Diabetes PRINCIPAL INVESTIGATOR: Gerald T Nepom, M.D., Ph.D...4. TITLE AND SUBTITLE Sa. CONTRACT NUMBER Humanized in vivo Model for Autoimmune Diabetes Sb. GRANT NUMBER W81XWH-07-1-0121 Sc. PROGRAM ELEMENT...therapies. This research study entails using humanized mice manifesting type 1 diabetes (T1 D)-associated human HLA molecules to address the fate and

  8. LncRNAWiki: harnessing community knowledge in collaborative curation of human long non-coding RNAs

    KAUST Repository

    Ma, L.

    2014-11-15

    Long non-coding RNAs (lncRNAs) perform a diversity of functions in numerous important biological processes and are implicated in many human diseases. In this report we present lncRNAWiki (http://lncrna.big.ac.cn), a wiki-based platform that is open-content and publicly editable and aimed at community-based curation and collection of information on human lncRNAs. Current related databases are dependent primarily on curation by experts, making it laborious to annotate the exponentially accumulated information on lncRNAs, which inevitably requires collective efforts in community-based curation of lncRNAs. Unlike existing databases, lncRNAWiki features comprehensive integration of information on human lncRNAs obtained from multiple different resources and allows not only existing lncRNAs to be edited, updated and curated by different users but also the addition of newly identified lncRNAs by any user. It harnesses community collective knowledge in collecting, editing and annotating human lncRNAs and rewards community-curated efforts by providing explicit authorship based on quantified contributions. LncRNAWiki relies on the underling knowledge of scientific community for collective and collaborative curation of human lncRNAs and thus has the potential to serve as an up-to-date and comprehensive knowledgebase for human lncRNAs.

  9. How structure shapes dynamics: knowledge development in Wikipedia--a network multilevel modeling approach.

    Directory of Open Access Journals (Sweden)

    Iassen Halatchliyski

    Full Text Available Using a longitudinal network analysis approach, we investigate the structural development of the knowledge base of Wikipedia in order to explain the appearance of new knowledge. The data consists of the articles in two adjacent knowledge domains: psychology and education. We analyze the development of networks of knowledge consisting of interlinked articles at seven snapshots from 2006 to 2012 with an interval of one year between them. Longitudinal data on the topological position of each article in the networks is used to model the appearance of new knowledge over time. Thus, the structural dimension of knowledge is related to its dynamics. Using multilevel modeling as well as eigenvector and betweenness measures, we explain the significance of pivotal articles that are either central within one of the knowledge domains or boundary-crossing between the two domains at a given point in time for the future development of new knowledge in the knowledge base.

  10. Knowledge Gaps in Rodent Pancreas Biology: Taking Human Pluripotent Stem Cell-Derived Pancreatic Beta Cells into Our Own Hands.

    Science.gov (United States)

    Santosa, Munirah Mohamad; Low, Blaise Su Jun; Pek, Nicole Min Qian; Teo, Adrian Kee Keong

    2015-01-01

    In the field of stem cell biology and diabetes, we and others seek to derive mature and functional human pancreatic β cells for disease modeling and cell replacement therapy. Traditionally, knowledge gathered from rodents is extended to human pancreas developmental biology research involving human pluripotent stem cells (hPSCs). While much has been learnt from rodent pancreas biology in the early steps toward Pdx1(+) pancreatic progenitors, much less is known about the transition toward Ngn3(+) pancreatic endocrine progenitors. Essentially, the later steps of pancreatic β cell development and maturation remain elusive to date. As a result, the most recent advances in the stem cell and diabetes field have relied upon combinatorial testing of numerous growth factors and chemical compounds in an arbitrary trial-and-error fashion to derive mature and functional human pancreatic β cells from hPSCs. Although this hit-or-miss approach appears to have made some headway in maturing human pancreatic β cells in vitro, its underlying biology is vaguely understood. Therefore, in this mini-review, we discuss some of these late-stage signaling pathways that are involved in human pancreatic β cell differentiation and highlight our current understanding of their relevance in rodent pancreas biology. Our efforts here unravel several novel signaling pathways that can be further studied to shed light on unexplored aspects of rodent pancreas biology. New investigations into these signaling pathways are expected to advance our knowledge in human pancreas developmental biology and to aid in the translation of stem cell biology in the context of diabetes treatments.

  11. Human nicotine conditioning requires explicit contingency knowledge: is addictive behaviour cognitively mediated?

    Science.gov (United States)

    Hogarth, Lee; Duka, Theodora

    2006-03-01

    Two seemingly contrary theories describe the learning mechanisms that mediate human addictive behaviour. According to the classical incentive theories of addiction, addictive behaviour is motivated by a Pavlovian conditioned appetitive emotional response elicited by drug-paired stimuli. Expectancy theory, on the other hand, argues that addictive behaviour is mediated by an expectancy of the drug imparted by cognitive knowledge of the Pavlovian (predictive) contingency between stimuli (S+) and the drug and of the instrumental (causal) contingency between instrumental behaviour and the drug. The present paper reviewed human-nicotine-conditioning studies to assess the role of appetitive emotional conditioning and explicit contingency knowledge in mediating addictive behaviour. The studies reviewed here provided evidence for both the emotional conditioning and the expectancy accounts. The first source of evidence is that nicotine-paired S+ elicit an appetitive emotional conditioned response (CR), albeit only in participants who expect nicotine. Furthermore, the magnitude of this emotional state is modulated by nicotine deprivation/satiation. However, the causal status of the emotional response in driving other forms of conditioned behaviour remains undemonstrated. The second source of evidence is that other nicotine CRs, including physiological responses, self-administration, attentional bias and subjective craving, are also dependent on participants possessing explicit knowledge of the Pavlovian contingencies arranged in the experiment. In addition, several of the nicotine CRs can be brought about or modified by instructed contingency knowledge, demonstrating the causal status of this knowledge. Collectively, these data suggest that human nicotine conditioned effects are mediated by an explicit expectancy of the drug coupled with an appetitive emotional response that reflects the positive biological value of the drug. The implication of this conclusion is that

  12. KNOWLEDGE MANAGEMENT AND ENTERPRISE RESOURCE PLANNING IMPLEMENTATION: A CONCEPTUAL MODEL

    Directory of Open Access Journals (Sweden)

    Sevenpri Candra

    2014-01-01

    Full Text Available The purpose of this research is examining the influence of organizational learning and knowledge management in enterprise resource planning implementation. This study is based on organizational learning, knowledge management and enterprise resource planning implementation. This research did not test all organizational factors and focus particularly on knowledge management capacity and absorptive capability. Enterprise resource planning implementation successful is a must. In today’s global and competitor in business, enterprise resource planning is becoming one of the main tools to achieve competitiveness in business. Enterprise resource planning is an infrastructure to create and maintain business to improve front-office and back-office efficiency and effectiveness. This study is significant to bring new thinking in determines the key antecedents to successful enterprise resource planning implementation based on knowledge management perspectives and it will helps to understand the key success factor in enterprise resource planning implementation.

  13. Human mammary microenvironment better regulates the biology of human breast cancer in humanized mouse model.

    Science.gov (United States)

    Zheng, Ming-Jie; Wang, Jue; Xu, Lu; Zha, Xiao-Ming; Zhao, Yi; Ling, Li-Jun; Wang, Shui

    2015-02-01

    During the past decades, many efforts have been made in mimicking the clinical progress of human cancer in mouse models. Previously, we developed a human breast tissue-derived (HB) mouse model. Theoretically, it may mimic the interactions between "species-specific" mammary microenvironment of human origin and human breast cancer cells. However, detailed evidences are absent. The present study (in vivo, cellular, and molecular experiments) was designed to explore the regulatory role of human mammary microenvironment in the progress of human breast cancer cells. Subcutaneous (SUB), mammary fat pad (MFP), and HB mouse models were developed for in vivo comparisons. Then, the orthotopic tumor masses from three different mouse models were collected for primary culture. Finally, the biology of primary cultured human breast cancer cells was compared by cellular and molecular experiments. Results of in vivo mouse models indicated that human breast cancer cells grew better in human mammary microenvironment. Cellular and molecular experiments confirmed that primary cultured human breast cancer cells from HB mouse model showed a better proliferative and anti-apoptotic biology than those from SUB to MFP mouse models. Meanwhile, primary cultured human breast cancer cells from HB mouse model also obtained the migratory and invasive biology for "species-specific" tissue metastasis to human tissues. Comprehensive analyses suggest that "species-specific" mammary microenvironment of human origin better regulates the biology of human breast cancer cells in our humanized mouse model of breast cancer, which is more consistent with the clinical progress of human breast cancer.

  14. IMPORTANCE OF THE HUMAN FACTOR IN THE KNOWLEDGE-BASED SOCIETY

    Directory of Open Access Journals (Sweden)

    Angela BRETCU

    2016-02-01

    Full Text Available The paper approaches the paradigmatic changes of the current economic situation, in the context of post-modernism and its challenges, which reconsiders human society according to new criteria. One of the characteristics of post-modernism is the development of information and communication techniques, which allowed the occurrence of the „knowledge-based society” whose consequence is the effervescence of fast barrier-free knowledge, absolute freedom of debates, equality of opportunities before the virtual space, but also the relativisation of information, the increases of the danger of manipulation, misleading, or even falsification of the truth. New challenges occur thus in social life, and especially in the economic one, where the human factor becomes increasingly important for the evolution of society. In this context, education seems to play the decisive part, but an education focused on real values, where the truth and the ethics prevail before efficiency and performance.  

  15. Designing a knowledge management system for distributed activities: a human centered approach.

    Science.gov (United States)

    Rinkus, Susan; Johnson-Throop, Kathy A; Zhang, Jiajie

    2003-01-01

    In this study we use the principles of distributed cognition and the methodology of human-centered distributed information design to analyze a complex distributed human-computer system, identify its problems, and generate design requirements and implementation specifications of a replacement prototype for effective organizational memory and knowledge management. We argue that a distributed human-computer information system has unique properties, structures and processes that are best described in the language of distributed cognition. Distributed cognition provides researchers a richer theoretical understanding of human-computer interactions and enables re-searchers to capture the phenomenon that emerges in social interactions as well as the interactions between people and structures in their environment.

  16. The arhitecture of the human resources in management based on knowledge and the impact on reduncing unemployment

    Directory of Open Access Journals (Sweden)

    Amalia Venera Todoruţ

    2011-03-01

    Full Text Available In this working paper I proposed to address/aproach issues of relationship and interdependence of human resources and management based on knowledges. I presented during the paper the new type of human resource management and new challenges which are noted in the current economic conjuncture and their influences on human resource management. We have also shown which is the new type of organizational culture and its impact on management based on knowledge. I focused also on the modalities how influence the management of human resources the management based on knowledge materialized in: the organization employee involvement, strong motivation and retention of employees in the firm based on knowledge, connection of management based on knowledges and the human resource management on the firm strategy, development of employees capacity and the intellectual capital, the creation and maintenance of learning practices widely used in business.

  17. Fostering students' knowledge and argumentation skills through dilemmas in human genetics

    Science.gov (United States)

    Zohar, Anat; Nemet, Flora

    2002-01-01

    This study examined the outcomes of a unit that integrates explicit teaching of general reasoning patterns into the teaching of a specific science content. Specifically, this article examined the teaching of argumentation skills in the context of dilemmas in human genetics. Before instruction only a minority (16.2%) of the students referred to correct, specific biological knowledge in constructing arguments in the context of dilemmas in genetics. Approximately 90% of the students were successful in formulating simple arguments. An assessment that took place following instruction supported the conclusion that integrating explicit teaching of argumentation into the teaching of dilemmas in human genetics enhances performance in both biological knowledge and argumentation. An increase was found in the frequency of students who referred to correct, specific biological knowledge in constructing arguments. Students in the experimental group scored significantly higher than students in the comparison group in a test of genetics knowledge. An increase was also found in the quality of students' argumentation. Students were able to transfer the reasoning abilities taught in the context of genetics to the context of dilemmas taken from everyday life. The effects of metacognitive thinking and of changing students' thinking dispositions by modifying what is considered valuable in the class culture are discussed.

  18. Knowledge about Human Papilloma Virus (HPV and HPV Vaccine at Reproductive Age in Primary Care

    Directory of Open Access Journals (Sweden)

    Ozde Onder

    2015-09-01

    Full Text Available Purpose: The aim of this study was to identify the knowledge and awareness about human papilloma virus (HPV and human papilloma virus (HPV vaccine of women in reproductive age. Material and Methods: The study covered 294 women aged between 15 and 49. A questionnaire was prepared by the researchers based on the literature review. Results: The mean age of the participants was 30.5+/-8.9 years. Only 24.5% had heard about HPV infection and 28.2% had heard HPV vaccine. Of the participants, 188 (63.9% got zero point from the knowledge questions. Conclusion: This study indicates that the women who apply primary care units have low knowledge levels; it is apperent that personal and social education is needed. Paying importance to patient education on HPV and cervical cancer in primary care health politics will increase knowledge and awareness for HPV infection and HPV vaccination. [Cukurova Med J 2015; 40(3.000: 517-524

  19. Changes in knowledge of cervical cancer following introduction of human papillomavirus vaccine among women at high risk for cervical cancer

    Science.gov (United States)

    Stewart Massad, L.; Evans, Charlesnika T.; Weber, Kathleen M.; D'Souza, Gypsyamber; Hessol, Nancy A.; Wright, Rodney L.; Colie, Christine; Strickler, Howard D.; Wilson, Tracey E.

    2015-01-01

    Purpose To describe changes in knowledge of cervical cancer prevention, human papillomavirus (HPV), and HPV vaccination among women at high risk for cervical cancer in the first five years after introduction of HPV vaccination. Methods In 2007, 2008–9, and 2011, women in a multicenter U.S. cohort study completed 44-item self-report questionnaires assessing knowledge of cervical cancer prevention, HPV, and HPV vaccination. Results across time were assessed for individuals, and three study enrollment cohorts were compared. Knowledge scores were correlated with demographic variables, measures of education and attention, and medical factors. Associations were assessed in multivariable models. Results In all, 974 women completed three serial questionnaires; most were minority, low income, and current or former smokers. The group included 652 (67%) HIV infected and 322 (33%) uninfected. Summary knowledge scores (possible range 0–24) increased from 2007 (12.8, S.D. 5.8) to 2008–9 (13.9, S.D. 5.3, P < 0.001) and to 2011 (14.3, S.D. 5.2, P < 0.0001 vs 2007 and < 0.04 vs 2008–9). Higher knowledge scores at first and follow-up administration of questionnaires, higher income, and higher education level were associated with improved knowledge score at third administration. Women not previously surveyed had scores similar to those of the longitudinal group at baseline. Conclusion Substantial gaps in understanding of HPV and cervical cancer prevention exist despite years of health education. While more effective educational interventions may help, optimal cancer prevention may require opt-out vaccination programs that do not require nuanced understanding. PMID:25870859

  20. Automation based on knowledge modeling theory and its applications in engine diagnostic systems using Space Shuttle Main Engine vibrational data. M.S. Thesis

    Science.gov (United States)

    Kim, Jonnathan H.

    1995-01-01

    Humans can perform many complicated tasks without explicit rules. This inherent and advantageous capability becomes a hurdle when a task is to be automated. Modern computers and numerical calculations require explicit rules and discrete numerical values. In order to bridge the gap between human knowledge and automating tools, a knowledge model is proposed. Knowledge modeling techniques are discussed and utilized to automate a labor and time intensive task of detecting anomalous bearing wear patterns in the Space Shuttle Main Engine (SSME) High Pressure Oxygen Turbopump (HPOTP).

  1. Biological knowledge-driven analysis of epistasis in human GWAS with application to lipid traits.

    Science.gov (United States)

    Ma, Li; Keinan, Alon; Clark, Andrew G

    2015-01-01

    While the importance of epistasis is well established, specific gene-gene interactions have rarely been identified in human genome-wide association studies (GWAS), mainly due to low power associated with such interaction tests. In this chapter, we integrate biological knowledge and human GWAS data to reveal epistatic interactions underlying quantitative lipid traits, which are major risk factors for coronary artery disease. To increase power to detect interactions, we only tested pairs of SNPs filtered by prior biological knowledge, including GWAS results, protein-protein interactions (PPIs), and pathway information. Using published GWAS and 9,713 European Americans (EA) from the Atherosclerosis Risk in Communities (ARIC) study, we identified an interaction between HMGCR and LIPC affecting high-density lipoprotein cholesterol (HDL-C) levels. We then validated this interaction in additional multiethnic cohorts from ARIC, the Framingham Heart Study, and the Multi-Ethnic Study of Atherosclerosis. Both HMGCR and LIPC are involved in the metabolism of lipids and lipoproteins, and LIPC itself has been marginally associated with HDL-C. Furthermore, no significant interaction was detected using PPI and pathway information, mainly due to the stringent significance level required after correcting for the large number of tests conducted. These results suggest the potential of biological knowledge-driven approaches to detect epistatic interactions in human GWAS, which may hold the key to exploring the role gene-gene interactions play in connecting genotypes and complex phenotypes in future GWAS.

  2. A Model of the Temporal Dynamics of Knowledge Brokerage in Sustainable Development

    Science.gov (United States)

    Hukkinen, Janne I.

    2016-01-01

    I develop a conceptual model of the temporal dynamics of knowledge brokerage for sustainable development. Brokerage refers to efforts to make research and policymaking more accessible to each other. The model enables unbiased and systematic consideration of knowledge brokerage as part of policy evolution. The model is theoretically grounded in…

  3. A Model of the Temporal Dynamics of Knowledge Brokerage in Sustainable Development

    Science.gov (United States)

    Hukkinen, Janne I.

    2016-01-01

    I develop a conceptual model of the temporal dynamics of knowledge brokerage for sustainable development. Brokerage refers to efforts to make research and policymaking more accessible to each other. The model enables unbiased and systematic consideration of knowledge brokerage as part of policy evolution. The model is theoretically grounded in…

  4. Developing Elementary Teachers' Knowledge about Functions and Rate of Change through Modeling

    Science.gov (United States)

    Weber, Eric; Tallman, Michael A.; Middleton, James A.

    2015-01-01

    The purpose of this article is to describe the development of elementary school teachers' mathematical knowledge for teaching as they participated in a Modeling Instruction environment that placed heavy emphasis on improving their subject-matter knowledge as a basis for affecting the development of their pedagogical content knowledge. We…

  5. Using the Knowledge to Action Process Model to Incite Clinical Change

    Science.gov (United States)

    Petzold, Anita; Korner-Bitensky, Nicol; Menon, Anita

    2010-01-01

    Introduction: Knowledge translation (KT) has only recently emerged in the field of rehabilitation with attention on creating effective KT interventions to increase clinicians' knowledge and use of evidence-based practice (EBP). The uptake of EBP is a complex process that can be facilitated by the use of the Knowledge to Action Process model. This…

  6. Developing Elementary Teachers' Knowledge about Functions and Rate of Change through Modeling

    Science.gov (United States)

    Weber, Eric; Tallman, Michael A.; Middleton, James A.

    2015-01-01

    The purpose of this article is to describe the development of elementary school teachers' mathematical knowledge for teaching as they participated in a Modeling Instruction environment that placed heavy emphasis on improving their subject-matter knowledge as a basis for affecting the development of their pedagogical content knowledge. We…

  7. Intending the Unintended: The Act of Building Agent-based Models as a Regular Source of Knowledge Generation

    Directory of Open Access Journals (Sweden)

    Mitali Ayyangar

    2007-10-01

    Full Text Available Poverty is a complex issue that is rarely conducive to analysis in laboratory or field experiments. Effective interventions that aim to decrease or eliminate poverty require an understanding of the intricate web of associated social issues. The need for this increased comprehension necessitates the use of alternative robust means of analysis: one such being agent-based modelling. The strengths of agent-based modelling to disaggregate complex social behaviours and understand them are well known. However, while people have explored how the modelling process can prove to be fruitful, the usually unintended insight gained and the knowledge engendered during the model design process goes largely unnoticed. In this paper, we aspire to show precisely how the model building process is critical in leading to unintended knowledge generation for modellers by drawing from three US based examples where agent-based modelling was used to aid research into the effects of interventions that address poverty and human development through programs and issues facing low-income families. With these examples, we illustrate some of the means to harness new knowledge generated. In our discussion, we also highlight the advantageous nature of agent-based model design as an independent source of knowledge generation.

  8. Genetically Modified Pig Models for Human Diseases

    Institute of Scientific and Technical Information of China (English)

    Nana Fan; Liangxue Lai

    2013-01-01

    Genetically modified animal models are important for understanding the pathogenesis of human disease and developing therapeutic strategies.Although genetically modified mice have been widely used to model human diseases,some of these mouse models do not replicate important disease symptoms or pathology.Pigs are more similar to humans than mice in anatomy,physiology,and genome.Thus,pigs are considered to be better animal models to mimic some human diseases.This review describes genetically modified pigs that have been used to model various diseases including neurological,cardiovascular,and diabetic disorders.We also discuss the development in gene modification technology that can facilitate the generation of transgenic pig models for human diseases.

  9. Connectionist models of artificial grammar learning: what type of knowledge is acquired?

    Science.gov (United States)

    Kinder, Annette; Lotz, Anja

    2009-09-01

    Two experiments are presented that test the predictions of two associative learning models of Artificial Grammar Learning. The two models are the simple recurrent network (SRN) and the competitive chunking (CC) model. The two experiments investigate acquisition of different types of knowledge in this task: knowledge of frequency and novelty of stimulus fragments (Experiment 1) and knowledge of letter positions, of small fragments, and of large fragments up to entire strings (Experiment 2). The results show that participants acquired all types of knowledge. Simulation studies demonstrate that the CC model explains the acquisition of all types of fragment knowledge but fails to account for the acquisition of positional knowledge. The SRN model, by contrast, accounts for the entire pattern of results found in the two experiments.

  10. Human transporter database: comprehensive knowledge and discovery tools in the human transporter genes.

    Directory of Open Access Journals (Sweden)

    Adam Y Ye

    Full Text Available Transporters are essential in homeostatic exchange of endogenous and exogenous substances at the systematic, organic, cellular, and subcellular levels. Gene mutations of transporters are often related to pharmacogenetics traits. Recent developments in high throughput technologies on genomics, transcriptomics and proteomics allow in depth studies of transporter genes in normal cellular processes and diverse disease conditions. The flood of high throughput data have resulted in urgent need for an updated knowledgebase with curated, organized, and annotated human transporters in an easily accessible way. Using a pipeline with the combination of automated keywords query, sequence similarity search and manual curation on transporters, we collected 1,555 human non-redundant transporter genes to develop the Human Transporter Database (HTD (http://htd.cbi.pku.edu.cn. Based on the extensive annotations, global properties of the transporter genes were illustrated, such as expression patterns and polymorphisms in relationships with their ligands. We noted that the human transporters were enriched in many fundamental biological processes such as oxidative phosphorylation and cardiac muscle contraction, and significantly associated with Mendelian and complex diseases such as epilepsy and sudden infant death syndrome. Overall, HTD provides a well-organized interface to facilitate research communities to search detailed molecular and genetic information of transporters for development of personalized medicine.

  11. Human transporter database: comprehensive knowledge and discovery tools in the human transporter genes.

    Science.gov (United States)

    Ye, Adam Y; Liu, Qing-Rong; Li, Chuan-Yun; Zhao, Min; Qu, Hong

    2014-01-01

    Transporters are essential in homeostatic exchange of endogenous and exogenous substances at the systematic, organic, cellular, and subcellular levels. Gene mutations of transporters are often related to pharmacogenetics traits. Recent developments in high throughput technologies on genomics, transcriptomics and proteomics allow in depth studies of transporter genes in normal cellular processes and diverse disease conditions. The flood of high throughput data have resulted in urgent need for an updated knowledgebase with curated, organized, and annotated human transporters in an easily accessible way. Using a pipeline with the combination of automated keywords query, sequence similarity search and manual curation on transporters, we collected 1,555 human non-redundant transporter genes to develop the Human Transporter Database (HTD) (http://htd.cbi.pku.edu.cn). Based on the extensive annotations, global properties of the transporter genes were illustrated, such as expression patterns and polymorphisms in relationships with their ligands. We noted that the human transporters were enriched in many fundamental biological processes such as oxidative phosphorylation and cardiac muscle contraction, and significantly associated with Mendelian and complex diseases such as epilepsy and sudden infant death syndrome. Overall, HTD provides a well-organized interface to facilitate research communities to search detailed molecular and genetic information of transporters for development of personalized medicine.

  12. Research on Knowledge-Oriented Supply ChainRisk Management System Model

    OpenAIRE

    Yingchun Guo

    2011-01-01

    Based on analyzing the characteristics of supply chain risk management under the influences of knowledge, in this paper integrates basic theories and methods of knowledge management into the process of risk management, builds a knowledge-oriented supply chain risk management system model, and proposes relevant strategies, presenting references for practical application of knowledge-oriented supply chain risk management. By means of acquiring, storing, sharing, and transferring supply chain ri...

  13. Multicenter Study of Human Papillomavirus and the Human Papillomavirus Vaccine: Knowledge and Attitudes among People of African Descent

    Directory of Open Access Journals (Sweden)

    Elizabeth Blackman

    2013-01-01

    Full Text Available Objective. To compare knowledge and attitudes of human papillomavirus (HPV and the vaccine between different cultures of African descent. Methods. A cross-sectional survey of 555 African-Americans and Afro-Caribbeans residing in the US and the Bahamas (BHM was conducted. Results. General knowledge about HPV and the HPV vaccine differed between the two countries significantly. Bahamian respondents were less likely to have higher numbers of correct knowledge answers when compared to Americans (Adjusted Odds Ratio [Adj. OR] 0.47, 95% Confidence Interval [CI] 0.30–0.75. Older age, regardless of location, was also associated with answering fewer questions correctly (Adj. OR 0.61, 95% CI 0.40–0.92. Attitudes related to HPV vaccination were similar between the US and BHM, but nearly 80% of BHM respondents felt that children should not be able to receive the vaccine without parental consent compared to 57% of American respondents. Conclusions. Grave lack of knowledge, safety and cost concerns, and influence of parental restrictions may negatively impact vaccine uptake among African-American and Afro-Caribbean persons. Interventions to increase the vaccine uptake in the Caribbean must include medical provider and parental involvement. Effective strategies for education and increasing vaccine uptake in BHM are crucial for decreasing cervical cancer burden in the Caribbean.

  14. MODEL OF REGIONAL KNOWLEDGE TRANSFER: MAIN ACTORS, FRAMEWORK AND THEORY.

    Directory of Open Access Journals (Sweden)

    Alla LEVITSKAIA

    2016-02-01

    Full Text Available This paper analyses potential mechanism of regional knowledge transfer in region with poorly developed innovation infrastructure (the Autonomous Territorial Unit Gagauzia, Republic of Moldova through interactions between regional major players of the Regional Innovation System - the educational and research institutions, small and medium enterprises (SMEs and local authorities. Solution of this problem can be found in modern studies of territories innovation development through the clustering processes. Through the empirical study - innovation potential analysis of local SMEs - we proposed advantage mechanism which focused on the one type of knowledge cluster – Innovation and Educational Cluster. The symbiosis of entrepreneurs, government agencies, educational institutions and business service providers with the regional core - University, allows to increasing exchange flows of innovative knowledge between all members of the cluster and distributing them to the entire region and beyond. The results and proposals of this study formed the basis of the “Program of increasing the innovation potential of Gagauz SMEs”.

  15. Knowledge and Attitudes About Human Papilloma Virus (HPV) Vaccination and Cervical Cancer Screening Among Women in Rural Uganda

    Science.gov (United States)

    2016-06-15

    is unlimited. UNCLASSIFIED -13- 17. Asiimwe, s. Predictors of high - risk human papillomavirus infection, a Population based study in rural, Uganda...1- Knowledge and attitudes about Human Papilloma Virus (HPV) vaccination and cervical cancer screening among women in rural Uganda Authors...Oncogenic Human Papilloma virus (HPV) strains 16 and 18. While cervical cancer is widely understood as a fatal disease, knowledge and awareness of

  16. 3-D Human Modeling and Animation

    CERN Document Server

    Ratner, Peter

    2012-01-01

    3-D Human Modeling and Animation Third Edition All the tools and techniques you need to bring human figures to 3-D life Thanks to today's remarkable technology, artists can create and animate realistic, three-dimensional human figures that were not possible just a few years ago. This easy-to-follow book guides you through all the necessary steps to adapt your own artistic skill in figure drawing, painting, and sculpture to this exciting digital canvas. 3-D Human Modeling and Animation, Third Edition starts you off with simple modeling, then prepares you for more advanced techniques for crea

  17. Visualization Through Knowledge Representation Model for Social Networks

    DEFF Research Database (Denmark)

    Hussain, Dil Muhammad Akbar; Athar Javed, Muhammad; Ahmed, Zaki

    2011-01-01

    the process of knowing, learning and creating knowledge is the relevant aspect (Nonaka and Takeuchi 1995). In this paper knowledge representation is presented in 3D style for the understanding and visualization of dynamics of complex social networks by developing a TANetworkTool (Task Analysis Network Tool....... Although, many analytical methods provide relationship dependencies, role of different nodes and their importance in the network. In this paper we are presenting a visualization of networks by rotating the network through various dimensions to provide a more realistic view to understand the dynamics...

  18. Human hand modelling: kinematics, dynamics, applications

    NARCIS (Netherlands)

    Gustus, A.; Stillfried, G.; Visser, J.; Jörntell, H.; Van der Smagt, P.

    2012-01-01

    An overview of mathematical modelling of the human hand is given. We consider hand models from a specific background: rather than studying hands for surgical or similar goals, we target at providing a set of tools with which human grasping and manipulation capabilities can be studied, and hand funct

  19. Human Disease Insight: An integrated knowledge-based platform for disease-gene-drug information.

    Science.gov (United States)

    Tasleem, Munazzah; Ishrat, Romana; Islam, Asimul; Ahmad, Faizan; Hassan, Md Imtaiyaz

    2016-01-01

    The scope of the Human Disease Insight (HDI) database is not limited to researchers or physicians as it also provides basic information to non-professionals and creates disease awareness, thereby reducing the chances of patient suffering due to ignorance. HDI is a knowledge-based resource providing information on human diseases to both scientists and the general public. Here, our mission is to provide a comprehensive human disease database containing most of the available useful information, with extensive cross-referencing. HDI is a knowledge management system that acts as a central hub to access information about human diseases and associated drugs and genes. In addition, HDI contains well-classified bioinformatics tools with helpful descriptions. These integrated bioinformatics tools enable researchers to annotate disease-specific genes and perform protein analysis, search for biomarkers and identify potential vaccine candidates. Eventually, these tools will facilitate the analysis of disease-associated data. The HDI provides two types of search capabilities and includes provisions for downloading, uploading and searching disease/gene/drug-related information. The logistical design of the HDI allows for regular updating. The database is designed to work best with Mozilla Firefox and Google Chrome and is freely accessible at http://humandiseaseinsight.com.

  20. Social Media Success for Academic Knowledge Sharing in Indonesia (Conceptual Model Development)

    Science.gov (United States)

    Assegaff, Setiawan

    2017-04-01

    The aim of this study is to investigate how success is the social media as a tool for knowledge sharing among scholars in Indonesia. To evaluate the success of social media we develop a model base on Delone and McLeane IS Success Model. In this article, we would like discuss the process of developing the research model. In developing the model, we conduct literature review from knowledge management, social media and IS Success Model area from previous study. This study resulted in the social success model for academic knowledge sharing in Indonesia.

  1. Immunotherapy for Alzheimer's disease: harnessing our knowledge of T cell biology using a cholesterol-fed rabbit model.

    Science.gov (United States)

    Coico, Richard; Woodruff-Pak, Diana S

    2008-12-01

    This timely special issue of the Journal of Alzheimer's Disease provides the opportunity to examine interfaces between basic science and clinical medicine using animal models to develop more effective therapies for the treatment and, ideally, prevention of Alzheimer's disease (AD). That some patients with AD enrolled in a clinical trial to inoculate against amyloid-beta (Abeta) experienced a misdirected polarization of Th cells reminds us that our knowledge of T cell biology, immune regulation, and the precise functional properties of adjuvants is incomplete. We review this knowledge and consider the advantages of the rabbit for immunological studies. The langomorph species is proximate to primates on the phylogenetic scale, its amino acid sequence of Abeta is 97% identical to the human Abeta sequence, and the rabbit model system is extensively characterized on a form of associative learning with parallels in normal aging in rabbits and humans that is severely impaired in human AD. Cholesterol-fed rabbits treated with Abeta immunotherapy generate high titer anti-Abeta responses. The cholesterol-fed rabbit model of AD with its close parallels to human genetics and physiology, along with its validity from molecular to cognitive levels as a model of human AD, provides a promising vehicle for development of immunotherapies.

  2. Problem-Oriented Corporate Knowledge Base Models on the Case-Based Reasoning Approach Basis

    Science.gov (United States)

    Gluhih, I. N.; Akhmadulin, R. K.

    2017-07-01

    One of the urgent directions of efficiency enhancement of production processes and enterprises activities management is creation and use of corporate knowledge bases. The article suggests a concept of problem-oriented corporate knowledge bases (PO CKB), in which knowledge is arranged around possible problem situations and represents a tool for making and implementing decisions in such situations. For knowledge representation in PO CKB a case-based reasoning approach is encouraged to use. Under this approach, the content of a case as a knowledge base component has been defined; based on the situation tree a PO CKB knowledge model has been developed, in which the knowledge about typical situations as well as specific examples of situations and solutions have been represented. A generalized problem-oriented corporate knowledge base structural chart and possible modes of its operation have been suggested. The obtained models allow creating and using corporate knowledge bases for support of decision making and implementing, training, staff skill upgrading and analysis of the decisions taken. The universal interpretation of terms “situation” and “solution” adopted in the work allows using the suggested models to develop problem-oriented corporate knowledge bases in different subject domains. It has been suggested to use the developed models for making corporate knowledge bases of the enterprises that operate engineer systems and networks at large production facilities.

  3. A Model of Equitable and Sustainable Redistribution of Knowledge

    Science.gov (United States)

    Garcia, Ana Maria Delgado; Cuello, Rafael Oliver

    2010-01-01

    Education is one of the pillars in which a Welfare State is effectively based on in order to achieve an equitable distribution of wealth. In contemporary society, knowledge and education are among the most appreciated goods, and everyone should have the right to acquire them, without distinction of gender, race, age, health or religion. From our…

  4. A Model of Equitable and Sustainable Redistribution of Knowledge

    Science.gov (United States)

    Garcia, Ana Maria Delgado; Cuello, Rafael Oliver

    2010-01-01

    Education is one of the pillars in which a Welfare State is effectively based on in order to achieve an equitable distribution of wealth. In contemporary society, knowledge and education are among the most appreciated goods, and everyone should have the right to acquire them, without distinction of gender, race, age, health or religion. From our…

  5. A Knowledge base representing Porter's Five Forces Model

    NARCIS (Netherlands)

    H. de Swaan Arons; Ph. Waalewijn

    1999-01-01

    textabstractStrategic Analysis and Planning is a field in which expertise and experience are key factors. In order to decide on strategic matters such as the competitive position of a company experts heavily lean on their ability to reason with uncertain or incomplete knowledge, or in other words on

  6. A Knowledge base representing Porter's Five Forces Model

    NARCIS (Netherlands)

    H. de Swaan Arons; Ph. Waalewijn

    1999-01-01

    textabstractStrategic Analysis and Planning is a field in which expertise and experience are key factors. In order to decide on strategic matters such as the competitive position of a company experts heavily lean on their ability to reason with uncertain or incomplete knowledge, or in other words on

  7. Hidden Markov Models for Human Genes

    DEFF Research Database (Denmark)

    Baldi, Pierre; Brunak, Søren; Chauvin, Yves

    1997-01-01

    We analyse the sequential structure of human genomic DNA by hidden Markov models. We apply models of widely different design: conventional left-right constructs and models with a built-in periodic architecture. The models are trained on segments of DNA sequences extracted such that they cover...

  8. Novel joint TOA/RSSI-based WCE location tracking method without prior knowledge of biological human body tissues.

    Science.gov (United States)

    Ito, Takahiro; Anzai, Daisuke; Jianqing Wang

    2014-01-01

    This paper proposes a novel joint time of arrival (TOA)/received signal strength indicator (RSSI)-based wireless capsule endoscope (WCE) location tracking method without prior knowledge of biological human tissues. Generally, TOA-based localization can achieve much higher localization accuracy than other radio frequency-based localization techniques, whereas wireless signals transmitted from a WCE pass through various kinds of human body tissues, as a result, the propagation velocity inside a human body should be different from one in free space. Because the variation of propagation velocity is mainly affected by the relative permittivity of human body tissues, instead of pre-measurement for the relative permittivity in advance, we simultaneously estimate not only the WCE location but also the relative permittivity information. For this purpose, this paper first derives the relative permittivity estimation model with measured RSSI information. Then, we pay attention to a particle filter algorithm with the TOA-based localization and the RSSI-based relative permittivity estimation. Our computer simulation results demonstrates that the proposed tracking methods with the particle filter can accomplish an excellent localization accuracy of around 2 mm without prior information of the relative permittivity of the human body tissues.

  9. The impact of Body Worlds on adult visitors' knowledge on human anatomy: A preliminary study.

    Science.gov (United States)

    Fonseca, Guilherme R B C; Finn, Gabrielle M

    2016-05-01

    Body Worlds is an anatomical exhibition that shows human remains to the public. It has been considered controversial since it raises ethical tensions and issues. However, organizers and supporters of Body Worlds have claimed the exhibition is intended to promote visitors' understanding over the human body. Despite these claims, no studies were found that support or refute the hypothesis that a visit to Body Worlds increases the public's objective knowledge on human anatomy. Consequently, the objective of this study was to determine the impact of Body Worlds on anatomical knowledge. We constructed and delivered a questionnaire to both a previsit random sample and a postvisit random sample of visitors of Body Worlds' event Facets of Life, in Berlin. The questionnaire was available in both English and German languages and contained (a) basic sociodemographic questions and (b) a valid and reliable anatomy quiz. The quiz consisted of 16 multiple-choice questions that assessed the ability to identify the location of major anatomical structures on the human body. Average scores achieved on the quiz by the postvisit sample (X¯= 9.08, s = 2.48, n = 164) were significantly higher (unpaired t = 3.3957, P = 0.0008) than those achieved by the previsit sample (X¯= 8.11, s = 2.69, n = 167). Our results suggest that a visit to Body Worlds' event Facets of Life may have a beneficial effect in anatomical knowledge. However, further studies with better empirical designs and fewer limitations are needed to confirm our results.

  10. Using Teacher-Generated Ecological Models to Assess Knowledge Gained During Teacher Training

    Science.gov (United States)

    Dresner, M.; Moldenke, A.

    2005-12-01

    Developing a capacity for systems thinking (ways to understand complex systems) requires both immersion in challenging, real-world problem contexts and exposure to systems analysis language, tools and procedures, such as ecosystem modeling. Modeling is useful as a means of conveying complex, dynamic interactions. Models of ecosystems can facilitate an ability to be attentive to whole systems by illustrating multiple factors of interaction, feedback, subsystems and inputs and outputs, which lead to a greater understanding of ecosystem functioning. Concept mapping, which uses models of students' ideas organized hierarchically is used in assessment, but it does not having any outside utility. Ecosystem models, on the other hand, are legitimate end-products in and of themselves. A change made in a learner-generated model that conforms to patterns observed in nature by the learner can be seen as reflections of his or her understanding. Starting with their own reflections on previous ecological knowledge, teachers will model components of the ecosystem they are about to study. 'Teaching models' will be used to familiarize learners with the symbolic language of models and to teach some basic ecology concepts. Teachers then work directly with ecologists in conducting research, using the steps of a straightforward study as a guide, and then observe and discuss patterns in the data they have collected. Higher-order thinking skills are practiced through the reflective use of ecological models. Through a series of questions including analysis, relational reasoning, synthesis, testing, and explaining, pairs of teacher describe the principles and theories about ecology that they think might be operating in their models to one another. They describe the consequences of human-caused impacts and possible causal patterns. They explain any differences in their understanding of ecosystem interactions before and after their research experiences

  11. Innovative Knowledge Management At Disney: Human Capital And Queuing Solutions For Services

    Directory of Open Access Journals (Sweden)

    Rachelle F. Cope

    2011-04-01

    Full Text Available It is well known that most activities in which a service is provided require customers to wait in a queue during the experience. One thing that is inherent in waiting lines is the universal dislike for the process. In fact, the feelings and opinions developed in waiting lines influence the customer’s perception of the awaited experience. In this paper, Disney is used as a case study for queuing solutions. In particular, we examine their implementation of Knowledge Management (KM solutions to improve the waiting line process. The use of Disney cast members as human capital combined with the knowledge of customer preferences has made the FASTPASS an innovative solution to enhance queuing in the Disney theme parks. In the past, KM has been thought of as the collection of technological assets and managerial policies that compensate for information failures. In fact, the individual’s need for human interaction provides the richest opportunity for knowledge acquisition. Disney’s ability to capture customers in virtual queues while giving them a pleasurable waiting experience has made them a leader in KM initiatives in the service industry.

  12. Knowledge brokering on emissions modelling in Strategic Environmental Assessment of Estonian energy policy with special reference to the LEAP model

    Energy Technology Data Exchange (ETDEWEB)

    Kuldna, Piret, E-mail: piret.kuldna@seit.ee [Stockholm Environment Institute Tallinn Centre, Lai 34, Tallinn 10133 (Estonia); Peterson, Kaja [Stockholm Environment Institute Tallinn Centre, Lai 34, Tallinn 10133 (Estonia); Kuhi-Thalfeldt, Reeli [Stockholm Environment Institute Tallinn Centre, Lai 34, Tallinn 10133 (Estonia); Tallinn University of Technology, Ehitajate tee 5, Tallinn 19086 (Estonia)

    2015-09-15

    Strategic Environmental Assessment (SEA) serves as a platform for bringing together researchers, policy developers and other stakeholders to evaluate and communicate significant environmental and socio-economic effects of policies, plans and programmes. Quantitative computer models can facilitate knowledge exchange between various parties that strive to use scientific findings to guide policy-making decisions. The process of facilitating knowledge generation and exchange, i.e. knowledge brokerage, has been increasingly explored, but there is not much evidence in the literature on how knowledge brokerage activities are used in full cycles of SEAs which employ quantitative models. We report on the SEA process of the national energy plan with reflections on where and how the Long-range Energy Alternatives Planning (LEAP) model was used for knowledge brokerage on emissions modelling between researchers and policy developers. Our main suggestion is that applying a quantitative model not only in ex ante, but also ex post scenario modelling and associated impact assessment can facilitate systematic and inspiring knowledge exchange process on a policy problem and capacity building of participating actors. - Highlights: • We examine the knowledge brokering on emissions modelling between researchers and policy developers in a full cycle of SEA. • Knowledge exchange process can evolve at any modelling stage within SEA. • Ex post scenario modelling enables systematic knowledge exchange and learning on a policy problem.

  13. Extraction of the human cerebral ventricular system from MRI: inclusion of anatomical knowledge and clinical perspective

    Science.gov (United States)

    Aziz, Aamer; Hu, Qingmao; Nowinski, Wieslaw L.

    2004-04-01

    The human cerebral ventricular system is a complex structure that is essential for the well being and changes in which reflect disease. It is clinically imperative that the ventricular system be studied in details. For this reason computer assisted algorithms are essential to be developed. We have developed a novel (patent pending) and robust anatomical knowledge-driven algorithm for automatic extraction of the cerebral ventricular system from MRI. The algorithm is not only unique in its image processing aspect but also incorporates knowledge of neuroanatomy, radiological properties, and variability of the ventricular system. The ventricular system is divided into six 3D regions based on the anatomy and its variability. Within each ventricular region a 2D region of interest (ROI) is defined and is then further subdivided into sub-regions. Various strict conditions that detect and prevent leakage into the extra-ventricular space are specified for each sub-region based on anatomical knowledge. Each ROI is processed to calculate its local statistics, local intensity ranges of cerebrospinal fluid and grey and white matters, set a seed point within the ROI, grow region directionally in 3D, check anti-leakage conditions and correct growing if leakage occurs and connects all unconnected regions grown by relaxing growing conditions. The algorithm was tested qualitatively and quantitatively on normal and pathological MRI cases and worked well. In this paper we discuss in more detail inclusion of anatomical knowledge in the algorithm and usefulness of our approach from clinical perspective.

  14. Knowledge, attitude, and beliefs of young, college student blood donors about Human immunodeficiency virus

    Directory of Open Access Journals (Sweden)

    Anju Dubey

    2014-01-01

    Full Text Available Introduction: Young people, who tend to be healthy, idealistic, and motivated, are an excellent pool of potential voluntary unpaid blood donors. Recruiting and retaining young blood donors improves the long term safety and sufficiency of a country′s blood supply. Knowledge, attitude, and beliefs about Human immunodeficiency virus (HIV should play an important role in prevention of disease transmission. Materials and Methods: This study was a questionnaire based survey, conducted to explore the levels of knowledge, attitude, and beliefs about HIV in young college student blood donors. Results: The results showed that the proportion of participants with comprehensive knowledge of HIV prevention and transmission was lesser than expected. Increase in education level and male gender was found to be significantly associated with high HIV-related knowledge. The responses on the different aspects of HIV-related attitude were also varied and there is still stigma associated with Acquired Immunodeficiency Syndrome (AIDS even in the educated groups. Discussion: There was a spectrum of myths and misperceptions emphasizing the need of education that recognizes the social context of attitude towards HIV. Results from this study may contribute to the development of appropriate educational and training material for this group of donors which in turn, may assist in achieving the elusive goal of safe blood supply in future.

  15. Setting health research priorities using the CHNRI method: V. Quantitative properties of human collective knowledge.

    Science.gov (United States)

    Rudan, Igor; Yoshida, Sachiyo; Wazny, Kerri; Chan, Kit Yee; Cousens, Simon

    2016-06-01

    The CHNRI method for setting health research priorities has crowdsourcing as the major component. It uses the collective opinion of a group of experts to generate, assess and prioritize between many competing health research ideas. It is difficult to compare the accuracy of human individual and collective opinions in predicting uncertain future outcomes before the outcomes are known. However, this limitation does not apply to existing knowledge, which is an important component underlying opinion. In this paper, we report several experiments to explore the quantitative properties of human collective knowledge and discuss their relevance to the CHNRI method. We conducted a series of experiments in groups of about 160 (range: 122-175) undergraduate Year 2 medical students to compare their collective knowledge to their individual knowledge. We asked them to answer 10 questions on each of the following: (i) an area in which they have a degree of expertise (undergraduate Year 1 medical curriculum); (ii) an area in which they likely have some knowledge (general knowledge); and (iii) an area in which they are not expected to have any knowledge (astronomy). We also presented them with 20 pairs of well-known celebrities and asked them to identify the older person of the pair. In all these experiments our goal was to examine how the collective answer compares to the distribution of students' individual answers. When answering the questions in their own area of expertise, the collective answer (the median) was in the top 20.83% of the most accurate individual responses; in general knowledge, it was in the top 11.93%; and in an area with no expertise, the group answer was in the top 7.02%. However, the collective answer based on mean values fared much worse, ranging from top 75.60% to top 95.91%. Also, when confronted with guessing the older of the two celebrities, the collective response was correct in 18/20 cases (90%), while the 8 most successful individuals among the

  16. The Importance and Weaknesses of the Productivist Industrial Model of Knowledge Production

    Science.gov (United States)

    Persson, Roland S.

    2010-01-01

    To view contemporary Science as an industry is a very apt and timely stance. Ghassib's (2010) historical analysis of knowledge production, which he terms "A Productivist Industrial Model of Knowledge Production," is an interesting one. It is important, however, to observe that the outline of this model is based entirely on the production of…

  17. Developmental Relations between Vocabulary Knowledge and Reading Comprehension: A Latent Change Score Modeling Study

    Science.gov (United States)

    Quinn, Jamie M.; Wagner, Richard K.; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, M[subscript age] = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and…

  18. Developmental Relations between Vocabulary Knowledge and Reading Comprehension: A Latent Change Score Modeling Study

    Science.gov (United States)

    Quinn, Jamie M.; Wagner, Richard K.; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, M[subscript age] = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and…

  19. Visualization Through Knowledge Representation Model for Social Networks

    DEFF Research Database (Denmark)

    Hussain, Dil Muhammad Akbar; Athar Javed, Muhammad; Ahmed, Zaki

    2011-01-01

    the process of knowing, learning and creating knowledge is the relevant aspect (Nonaka and Takeuchi 1995). In this paper knowledge representation is presented in 3D style for the understanding and visualization of dynamics of complex social networks by developing a TANetworkTool (Task Analysis Network Tool......). The standard or normal representation of a typical social network is through a graph data structure in 2D. The dynamics of larger social networks is so complex some time it becomes difficult to understand the various levels of interactions and dependencies just by mere representation through a tree or graph...... of complex social networks and complimenting the analytical results. This representation can also help authorities not necessarily having specific scientific background to understand and perhaps take preventive actions required in certain specific scenarios for example dealing with terrorist/covert networks....

  20. New ways of scientific publishing and accessing human knowledge inspired by transdisciplinary approaches

    CERN Document Server

    Gebeshuber, I C

    2010-01-01

    Inspired by interdisciplinary work touching biology and microtribology, the authors propose a new, dynamic way of publishing research results, the establishment of a tree of knowledge and the localisation of scientific articles on this tree. 'Technomimetics' is proposed as a new method of knowledge management in science and technology: it shall help find and organise information in an era of over-information. Such ways of presenting and managing research results would be accessible by people with different kinds of backgrounds and levels of education, and allow for full use of the ever- increasing number of scientific and technical publications. This approach would dramatically change and revolutionize the way we are doing science, and contribute to overcoming the three gaps between the world of ideas, inventors, innovators and investors as introduced by Gebeshuber, Gruber and Drack in 2009 for accelerated scientific and technological breakthroughs to improve the human condition. Inspiration for the developme...

  1. Organizing Conceptual Knowledge in Humans with a Grid-like Code

    Science.gov (United States)

    Behrens, Timothy E. J.

    2017-01-01

    It has been hypothesized that the brain organizes concepts into a mental map, allowing conceptual relationships to be navigated in a similar fashion to space. Grid cells use a hexagonally-symmetric code to organize spatial representations and are the likely source of a precise hexagonal symmetry in the functional magnetic resonance imaging signal. Humans navigating conceptual two-dimensional knowledge showed the same hexagonal signal in a strikingly similar set of brain regions to those activated during spatial navigation. This grid-like signal is consistent across sessions acquired within an hour and more than a week apart. Our findings suggest that global relational codes may be used to organize non-spatial conceptual representations and that these codes may have hexagonal grid-like pattern when conceptual knowledge is laid out in two continuous dimensions. PMID:27313047

  2. Human-centric decision-making models for social sciences

    CERN Document Server

    Pedrycz, Witold

    2014-01-01

    The volume delivers a wealth of effective methods to deal with various types of uncertainty inherently existing in human-centric decision problems. It elaborates on  comprehensive decision frameworks to handle different decision scenarios, which help use effectively the explicit and tacit knowledge and intuition, model perceptions and preferences in a more human-oriented style. The book presents original approaches and delivers new results on fundamentals and applications related to human-centered decision making approaches to business, economics and social systems. Individual chapters cover multi-criteria (multiattribute) decision making, decision making with prospect theory, decision making with incomplete probabilistic information, granular models of decision making and decision making realized with the use of non-additive measures. New emerging decision theories being presented as along with a wide spectrum of ongoing research make the book valuable to all interested in the field of advanced decision-mak...

  3. Role Domains of Knowledge Brokering: A Model for the Health Care Setting.

    Science.gov (United States)

    Glegg, Stephanie M; Hoens, Alison

    2016-04-01

    Knowledge brokering is a strategy to support collaborations and partnerships within and across clinical, research, and policy worlds to improve the generation and use of research knowledge. Knowledge brokers function in multiple roles to facilitate the use of evidence by leveraging the power of these partnerships. The application of theory can provide clarity in understanding the processes, influences, expected mechanisms of action, and desired outcomes of knowledge brokering. Viewing knowledge brokering from the perspective of its role domains can provide a means of organizing these elements to advance our understanding of knowledge brokering. The objectives of this special interest article are (1) to describe the context for knowledge brokering in health care, (2) to provide an overview of knowledge translation theories applied to knowledge brokering, and (3) to propose a model outlining the role domains assumed in knowledge brokering. The Role Model for Knowledge Brokering is composed of 5 role domains, including information manager, linking agent, capacity builder, facilitator, and evaluator. We provide examples from the literature and our real-world experience to demonstrate the application of the model. This model can be used to inform the practice of knowledge brokering as well as professional development and evaluation strategies. In addition, it may be used to inform theory-driven research examining the effectiveness of knowledge brokering on knowledge generation and translation outcomes in the health care field, as well as on patient health outcomes.Video Abstract is available for more insights from the authors (see Supplemental Digital Content 1, http://links.lww.com/JNPT/A126).

  4. A knowledge based model of electric utility operations. Final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1993-08-11

    This report consists of an appendix to provide a documentation and help capability for an analyst using the developed expert system of electric utility operations running in CLIPS. This capability is provided through a separate package running under the WINDOWS Operating System and keyed to provide displays of text, graphics and mixed text and graphics that explain and elaborate on the specific decisions being made within the knowledge based expert system.

  5. Human Centered Hardware Modeling and Collaboration

    Science.gov (United States)

    Stambolian Damon; Lawrence, Brad; Stelges, Katrine; Henderson, Gena

    2013-01-01

    In order to collaborate engineering designs among NASA Centers and customers, to in clude hardware and human activities from multiple remote locations, live human-centered modeling and collaboration across several sites has been successfully facilitated by Kennedy Space Center. The focus of this paper includes innovative a pproaches to engineering design analyses and training, along with research being conducted to apply new technologies for tracking, immersing, and evaluating humans as well as rocket, vehic le, component, or faci lity hardware utilizing high resolution cameras, motion tracking, ergonomic analysis, biomedical monitoring, wor k instruction integration, head-mounted displays, and other innovative human-system integration modeling, simulation, and collaboration applications.

  6. Knowledge-based modeling of discrete-event simulation systems

    NARCIS (Netherlands)

    H. de Swaan Arons

    1999-01-01

    textabstractModeling a simulation system requires a great deal of customization. At first sight no system seems to resemble exactly another system and every time a new model has to be designed the modeler has to start from scratch. The present simulation languages provide the modeler with powerful

  7. Knowledge-based modeling of discrete-event simulation systems

    NARCIS (Netherlands)

    H. de Swaan Arons

    1999-01-01

    textabstractModeling a simulation system requires a great deal of customization. At first sight no system seems to resemble exactly another system and every time a new model has to be designed the modeler has to start from scratch. The present simulation languages provide the modeler with powerful t

  8. An Analysis of Knowledge Production and Organizational Change within Four Approaches to Human Resource Development.

    Science.gov (United States)

    Vincere, Thomas J.

    1994-01-01

    Analyzes four models for work place learning, focusing on their respective learning design models. Shows how work place education affects issues of deskilling, the objectification of the worker as human capital, and the reproduction of capitalist ideology and inequalities of gender, race, ethnicity, and class. Calls for new directions for adult…

  9. Controlled human malaria infection trials: How tandems of trust and control construct scientific knowledge.

    Science.gov (United States)

    Bijker, Else M; Sauerwein, Robert W; Bijker, Wiebe E

    2016-02-01

    Controlled human malaria infections are clinical trials in which healthy volunteers are deliberately infected with malaria under controlled conditions. Controlled human malaria infections are complex clinical trials: many different groups and institutions are involved, and several complex technologies are required to function together. This functioning together of technologies, people, and institutions is under special pressure because of potential risks to the volunteers. In this article, the authors use controlled human malaria infections as a strategic research site to study the use of control, the role of trust, and the interactions between trust and control in the construction of scientific knowledge. The authors argue that tandems of trust and control play a central role in the successful execution of clinical trials and the construction of scientific knowledge. More specifically, two aspects of tandems of trust and control will be highlighted: tandems are sites where trust and control coproduce each other, and tandems link the personal, the technical, and the institutional domains. Understanding tandems of trust and control results in setting some agendas for both clinical trial research and science and technology studies.

  10. Human Exposure Modeling - Databases to Support Exposure Modeling

    Science.gov (United States)

    Human exposure modeling relates pollutant concentrations in the larger environmental media to pollutant concentrations in the immediate exposure media. The models described here are available on other EPA websites.

  11. A model of dynamic rewiring and knowledge exchange in R&D networks

    CERN Document Server

    Tomasello, Mario Vincenzo; Schweitzer, Frank

    2015-01-01

    This paper investigates the process of knowledge exchange in inter-firm Research and Development (R&D) alliances by means of an agent-based model. Extant research has pointed out that firms select alliance partners considering both network-related and network-unrelated features (e.g. social capital versus complementary knowledge stocks). In our agent-based model, firms are located in a metric knowledge space. The interaction rules incorporate an exploration phase and a knowledge transfer phase, during which firms search for a new partner and then evaluate whether they can establish a profitable alliance to mutually exchange their knowledge stocks. The model parameters determining the overall system properties are the rate at which alliances form and disappear and the agents' interaction radius. Next, we define a novel indicator of performance, based on the distance traveled by the firms in the knowledge space. Remarkably, we find that - depending on the alliance formation rate and the interaction radius -...

  12. Translation of overlay models of student knowledge for relative domains based on domain ontology mapping

    DEFF Research Database (Denmark)

    Sosnovsky, Sergey; Dolog, Peter; Henze, Nicola;

    2007-01-01

    argue that the implementation of underlying knowledge models in a sharable format, as domain ontologies - along with application of automatic ontology mapping techniques for model alignment - can help to overcome the "new-user" problem and will greatly widen opportunities for student model translation....... Moreover, it then becomes possible for systems from relevant domains to rely on knowledge transfer and reuse those portions of the student models that are related to overlapping concepts....

  13. Human Operator Control Strategy Model.

    Science.gov (United States)

    1980-04-01

    fashion. HOPE reflects the two-store theory of memory current in the psycho- logical literature ( Atkinson & Shiffrin , 1968; Broadbent, 1971). Two...uncertainty. In P.M.A. Rabbit & S. Dornic (Eds.), Attention and performance V. New York: Academic Press, 1975. Atkinson , R. C., & Shiffrin , R. M. Human...48 2. The Perception Process ... ............... 50 3. The Command Memory and Command Selection Process

  14. Modelling human decision-making in coupled human and natural systems

    Science.gov (United States)

    Feola, G.

    2012-12-01

    A solid understanding of human decision-making is essential to analyze the complexity of coupled human and natural systems (CHANS) and inform policies to promote resilience in the face of environmental change. Human decisions drive and/or mediate the interactions and feedbacks, and contribute to the heterogeneity and non-linearity that characterize CHANS. However, human decision-making is usually over-simplistically modeled, whereby human agents are represented deterministically either as dumb or clairvoyant decision-makers. Decision-making models fall short in the integration of both environmental and human behavioral drivers, and concerning the latter, tend to focus on only one category, e.g. economic, cultural, or psychological. Furthermore, these models render a linear decision-making process and therefore fail to account for the recursive co-evolutionary dynamics in CHANS. As a result, these models constitute only a weak basis for policy-making. There is therefore scope and an urgent need for better approaches to human decision-making, to produce the knowledge that can inform vulnerability reduction policies in the face of environmental change. This presentation synthesizes the current state-of-the-art of modelling human decision-making in CHANS, with particular reference to agricultural systems, and delineates how the above mentioned shortcomings can be overcome. Through examples from research on pesticide use and adaptation to climate change, both based on the integrative agent-centered framework (Feola and Binder, 2010), the approach for an improved understanding of human agents in CHANS are illustrated. This entails: integrative approach, focus on behavioral dynamics more than states, feedbacks between individual and system levels, and openness to heterogeneity.

  15. Knowledge representation and rule-based solution system for dynamic programming model

    Institute of Scientific and Technical Information of China (English)

    胡祥培; 王旭茵

    2003-01-01

    A knowledge representation has been proposed using the state-space theory of Artificial Intelligencefor Dynamic Programming Model, in which a model can be defined as a six-tuple M = (I,G,O,T,D,S). Abuilding block modeling method uses the modules of a six-tuple to form a rule-based solution model. Moreover,a rule-based system has been designed and set up to solve the Dynamic Programming Model. This knowledge-based representation can be easily used to express symbolical knowledge and dynamic characteristics for Dynam-ic Programming Model, and the inference based on the knowledge in the process of solving Dynamic Program-ming Model can also be conveniently realized in computer.

  16. A Probabilistic Model of Student Nurses' Knowledge of Normal Nutrition.

    Science.gov (United States)

    Passmore, David Lynn

    1983-01-01

    Vocational and technical education researchers need to be aware of the uses and limits of various statistical models. The author reviews the Rasch Model and applies it to results from a nutrition test given to student nurses. (Author)

  17. Human body modeling in injury biomechanics

    NARCIS (Netherlands)

    Happee, R.; Morsink, P.L.J.; Horst, M.J. van der; Wismans, J.S.H.M.

    1999-01-01

    Mathematical modelling is widely used for crash-safety research and design. However, most occupant models used in crash simulations are based on crash dummies and thereby inherit their apparent limitations. This paper describes a mathematical model of the real human body for impact loading. A combin

  18. Modeling human operator involvement in robotic systems

    NARCIS (Netherlands)

    Wewerinke, P.H.

    1991-01-01

    A modeling approach is presented to describe complex manned robotic systems. The robotic system is modeled as a (highly) nonlinear, possibly time-varying dynamic system including any time delays in terms of optimal estimation, control and decision theory. The role of the human operator(s) is modeled

  19. The Triple Helix Model and the Knowledge-Based Economy

    NARCIS (Netherlands)

    Leydesdorff, L.; Meyer, M.

    2010-01-01

    The Triple Helix model of university-industry-government relations can be generalized from a neo-institutional model of networks of relations to a neo-evolutionary model of how three selection environments operate upon one another. Two selection mechanisms operating upon each other can mutually

  20. Model Structure Indentification and the Growth of Knowledge

    NARCIS (Netherlands)

    Beck, M.B.; Lin, Z.; Stigter, J.D.

    2011-01-01

    This chapter honors Peter, then, in recounting my career-long experience (1970–2010) of staring down the devilishly difficult: the problem of model structure identification—of using models for discovery. I still regard this matter as one of the grand challenges of environmental modeling (Beck et

  1. Knowledge transfer for learning robot models via local procrustes analysis

    CSIR Research Space (South Africa)

    Makondo, N

    2015-11-01

    Full Text Available Learning of robot kinematic and dynamic models from data has attracted much interest recently as an alternative to manually defined models. However, the amount of data required to learn these models becomes large when the number of degrees...

  2. The Triple Helix Model and the Knowledge-Based Economy

    NARCIS (Netherlands)

    Leydesdorff, L.; Meyer, M.

    2010-01-01

    The Triple Helix model of university-industry-government relations can be generalized from a neo-institutional model of networks of relations to a neo-evolutionary model of how three selection environments operate upon one another. Two selection mechanisms operating upon each other can mutually shap

  3. Simulation Models of Human Decision-Making Processes

    Directory of Open Access Journals (Sweden)

    Nina RIZUN

    2014-10-01

    Full Text Available The main purpose of the paper is presentation of the new concept of human decision-making process modeling via using the analogy with Automatic Control Theory. From the author's point of view this concept allows to develop and improve the theory of decision-making in terms of the study and classification of specificity of the human intellectual processes in different conditions. It was proved that the main distinguishing feature between the Heuristic / Intuitive and Rational Decision-Making Models is the presence of so-called phenomenon of "enrichment" of the input information with human propensity, hobbies, tendencies, expectations, axioms and judgments, presumptions or bias and their justification. In order to obtain additional knowledge about the basic intellectual processes as well as the possibility of modeling the decision results in various parameters characterizing the decision-maker, the complex of the simulation models was developed. These models are based on the assumptions that:  basic intellectual processes of the Rational Decision-Making Model can be adequately simulated and identified by the transient processes of the proportional-integral-derivative controller; basic intellectual processes of the Bounded Rationality and Intuitive Models can be adequately simulated and identified by the transient processes of the nonlinear elements.The taxonomy of the most typical automatic control theory elements and their compliance with certain decision-making models with a point of view of decision-making process specificity and decision-maker behavior during a certain time of professional activity was obtained.

  4. A model-based multisensor data fusion knowledge management approach

    Science.gov (United States)

    Straub, Jeremy

    2014-06-01

    A variety of approaches exist for combining data from multiple sensors. The model-based approach combines data based on its support for or refutation of elements of the model which in turn can be used to evaluate an experimental thesis. This paper presents a collection of algorithms for mapping various types of sensor data onto a thesis-based model and evaluating the truth or falsity of the thesis, based on the model. The use of this approach for autonomously arriving at findings and for prioritizing data are considered. Techniques for updating the model (instead of arriving at a true/false assertion) are also discussed.

  5. Chemists’ knowledge object. Formulation, modification and abandonment of iconic model

    Directory of Open Access Journals (Sweden)

    Rómulo Gallego Badillo

    2006-12-01

    Full Text Available This article presents an analysis of different perspectives in regards to chemistry scientific statute. The category of scientific model was considered to characterize the proposal and development of technological-iconic model. It was necessary to have a look at the time in which the introduction of analogical and symbolic models was indispensable to modify the initial model. It also established the way in which the technological-iconic model can be a didactic foundation to lead secondary students towards Chemistry as one of the natural sciences.

  6. Modeling human disease using organotypic cultures

    DEFF Research Database (Denmark)

    Schweiger, Pawel J; Jensen, Kim B

    2016-01-01

    Reliable disease models are needed in order to improve quality of healthcare. This includes gaining better understanding of disease mechanisms, developing new therapeutic interventions and personalizing treatment. Up-to-date, the majority of our knowledge about disease states comes from in vivo...

  7. Agent-based cognitive model for human resources competence management.

    Science.gov (United States)

    Oliveira, Stefan; Gluz, João Carlos

    2010-01-01

    This chapter presents an agent-based cognitive model aimed to represent human competency concepts and competence management processes of psychological nature. This model is implemented by a multiagent system application intended to help managers of software development projects to select, based on the competence management model, the right professionals to integrate a development team. There are several software engineering methodologies that can be used to design and develop multiagent systems. However, due to the necessity to handle human competency concepts of cognitive nature, like aptitudes, interests, abilities and knowledge, we were driven to choose methodologies that can handle these concepts since the inception of the system. To do so, we integrated the TROPOS methodology, and a set of software engineering methods derived from intelligent tutoring systems research to successfully analyze and design the proposed system. At the end of the paper we present a study case, showing how the proposed system should be applied to the domain of website development.

  8. EO Model for Tacit Knowledge Externalization in Socio-Technical Enterprises

    Directory of Open Access Journals (Sweden)

    Shreyas Suresh Rao

    2017-03-01

    Full Text Available Aim/Purpose: A vital business activity within socio-technical enterprises is tacit knowledge externalization, which elicits and explicates tacit knowledge of enterprise employees as external knowledge. The aim of this paper is to integrate diverse aspects of externalization through the Enterprise Ontology model. Background: Across two decades, researchers have explored various aspects of tacit knowledge externalization. However, from the existing works, it is revealed that there is no uniform representation of the externalization process, which has resulted in divergent and contradictory interpretations across the literature. Methodology\t: The Enterprise Ontology model is constructed step-wise through the conceptual and measurement views. While the conceptual view encompasses three patterns that model the externalization process, the measurement view employs certainty-factor model to empirically measure the outcome of the externalization process. Contribution: The paper contributes towards knowledge management literature in two ways. The first contribution is the Enterprise Ontology model that integrates diverse aspects of externalization. The second contribution is a Web application that validates the model through a case study in banking. Findings: The findings show that the Enterprise Ontology model and the patterns are pragmatic in externalizing the tacit knowledge of experts in a problem-solving scenario within a banking enterprise. Recommendations for Practitioners\t: Consider the diverse aspects (what, where, when, why, and how during the tacit knowledge externalization process. Future Research:\tTo extend the Enterprise Ontology model to include externalization from partially automated enterprise systems.

  9. Relationship between Fidelity and Dose of Human Patient Simulation, Critical Thinking Skills, and Knowledge in an Associate Degree Nursing Program

    Science.gov (United States)

    Beebe, Rosella I.

    2012-01-01

    This study examined the relationship between human patient simulation (HPS), critical thinking skills, and knowledge acquisition after HPS was integrated across the curriculum of an associate degree nursing program to determine if differences existed in critical thinking and knowledge of students based on the fidelity of HPS used and amount of…

  10. Cognitive modelling of human temporal reasoning

    NARCIS (Netherlands)

    ter Meulen, AGB

    2003-01-01

    Modelling human reasoning characterizes the fundamental human cognitive capacity to describe our past experience and use it to form expectations as well as plan and direct our future actions. Natural language semantics analyzes dynamic forms of reasoning in which the real-time order determines the

  11. Knowledge and beliefs regarding human papillomavirus among college nursing students at a minority-serving institution.

    Science.gov (United States)

    Schmotzer, Geri L; Reding, Kerryn W

    2013-12-01

    Cervical cancer is a leading cause of death in US women, with Hispanic women at higher risk of mortality than non-Hispanic white women. While the human papillomavirus (HPV) vaccine represents substantial progress towards cervical cancer prevention, little is currently known about Hispanic student's beliefs regarding the HPV vaccine. To assess the knowledge, attitudes, behaviors, and beliefs of college students in the US-Mexico border region following the release of the HPV vaccine for both males and females. This survey was conducted using a convenience sample were participants were recruited from pre-nursing and nursing courses. The self-administered questionnaire ascertained HPV vaccination status, and knowledge and beliefs regarding the HPV vaccine. 202 male and female students responded. 28.9% of respondents reported having received the HPV vaccine. Of the non-vaccinated students under age 27, 27.3% Hispanic students reported an intention to receive the vaccine. Misinformation about HPV was common and was associated with intention to get vaccinated among non-Hispanic white students. We found a relatively small proportion of unvaccinated Hispanic and non-Hispanic nursing students intend to be vaccinated for HPV. Findings indicate an intervention to increase vaccination rates among college-aged students may not be as straightforward as increasing knowledge of HPV. Nurses are in a unique position to educate and recommend HPV to underserved patients. Thus, educating nursing students regarding HPV and the associated cancers is paramount if we are to encourage ethnic minorities to receive the HPV vaccine.

  12. MODELING OF STAFF COMMUNICATION PROCESSES IN MANAGING UNFORMALIZED KNOWLEDGE OF THE COMPANY

    Directory of Open Access Journals (Sweden)

    Olga E. Bashina

    2014-01-01

    Full Text Available The article is dedicated to the actual economic issues of modeling of staff communication processesin managing of unformalized knowledge for decision making. Since unformalized knowledge isoften has a tacit form, i.e. personal experience and intuitions, held in employees’ heads then the main way of transmission of such knowledge is communications between employees. Modelingof the exchange and dissemination of unformalized knowledge and information among employeeswas made within the framework of social network analyses methods: a group of employees isconsidered as an interconnected system consisting of nodes (persons, members of the groupand the connections between them (relations. As a part of modeling a management procedure for managing the unformalized knowledge is proposed. This management procedure implies a preliminary analysis, planning and creating a technological infrastructure that supports the exchangeprocesses, distribution and partial formalization of unformalized knowledge.

  13. Balanced growth path solutions of a Boltzmann mean field game model for knowledge growth

    KAUST Repository

    Burger, Martin

    2016-11-18

    In this paper we study balanced growth path solutions of a Boltzmann mean field game model proposed by Lucas and Moll [15] to model knowledge growth in an economy. Agents can either increase their knowledge level by exchanging ideas in learning events or by producing goods with the knowledge they already have. The existence of balanced growth path solutions implies exponential growth of the overall production in time. We prove existence of balanced growth path solutions if the initial distribution of individuals with respect to their knowledge level satisfies a Pareto-tail condition. Furthermore we give first insights into the existence of such solutions if in addition to production and knowledge exchange the knowledge level evolves by geometric Brownian motion.

  14. Strategic Model for Implementing Knowledge Management in Libraries and Information Services

    Directory of Open Access Journals (Sweden)

    Octavia-Luciana Porumbeanu

    2009-01-01

    Full Text Available In most fields of activity one can notice the trend towards knowledge-based organizations and towards flexible organizations that encourage innovation and change. In this context, knowledge management has become a fundamental process for all types of organizations in society. Libraries and information services are integral part of the knowledge system, these organizations being one of the forms that contribute to knowledge development. This article presents a strategic model for implementing knowledge management in libraries and information services, created on the basis of the results from theoretical researches and practical applications of this process in organizations from different countries and different fields of activity and keeping in mind the specific characteristics of libraries and information services. The model is based on five fundamental elements from which one should begin implementation of a knowledge management function in the organizations engaged in information transfer.

  15. Conceptual Resources in Self-developed Explanatory Models: The importance of integrating conscious and intuitive knowledge

    Science.gov (United States)

    Cheng, Meng-Fei; Brown, David E.

    2010-11-01

    This study explores the spontaneous explanatory models children construct, critique, and revise in the context of tasks in which children need to predict, observe, and explain phenomena involving magnetism. It further investigates what conceptual resources students use, and in what ways they use them, to construct explanatory models, and the obstacles preventing them from constructing a useful explanatory model. Our findings indicate that several of the children were able to construct explanatory models. However, of the six children interviewed multiple times (three third-graders and three sixth-graders), only one was consistently able to critique and revise her models to arrive at a consistent, coherent, and sophisticated explanatory model. Connecting intuitive knowledge and abstract knowledge was important in her construction of a coherent and sophisticated explanatory model. Students who relied only on intuitive knowledge constructed tentative and non-sophisticated explanatory models. Students who relied only on verbal-symbolic knowledge at an abstract level without connection with their intuition also did not construct coherent and sophisticated models. These results indicate that instruction should help students to become meta-conceptually aware and connect their verbal-symbolic knowledge and intuition in order to construct explanatory models to make sense of abstract scientific knowledge.

  16. Murine models of human wound healing.

    Science.gov (United States)

    Chen, Jerry S; Longaker, Michael T; Gurtner, Geoffrey C

    2013-01-01

    In vivo wound healing experiments remain the most predictive models for studying human wound healing, allowing an accurate representation of the complete wound healing environment including various cell types, environmental cues, and paracrine interactions. Small animals are economical, easy to maintain, and allow researchers to take advantage of the numerous transgenic strains that have been developed to investigate the specific mechanisms involved in wound healing and regeneration. Here we describe three reproducible murine wound healing models that recapitulate the human wound healing process.

  17. The virtual class as a knowledge democratization model

    Directory of Open Access Journals (Sweden)

    Mayela Coto Chotto

    2016-03-01

    Full Text Available This paper presents the conceptualization and use of a virtual classroom in the course EIF-200 Fundamentos de Informática, first course in the Information Systems Engineering career of the Universidad Nacional of Costa Rica. The virtual classroom is seen as a complement to the class and is conceived as a space that allows to centralize teaching resources, thereby promoting the  democratization of knowledge among students and teachers. Furthermore, this concept of virtual classroom helps to reduce the culture of individualism, present many times in university teaching practices, and contributes to create new opportunities to learn from other colleagues within a culture of reflection, analysis and respectful dialogue aimed to improve the teaching practices.

  18. A decade of human genome project conclusion: Scientific diffusion about our genome knowledge.

    Science.gov (United States)

    Moraes, Fernanda; Góes, Andréa

    2016-05-06

    The Human Genome Project (HGP) was initiated in 1990 and completed in 2003. It aimed to sequence the whole human genome. Although it represented an advance in understanding the human genome and its complexity, many questions remained unanswered. Other projects were launched in order to unravel the mysteries of our genome, including the ENCyclopedia of DNA Elements (ENCODE). This review aims to analyze the evolution of scientific knowledge related to both the HGP and ENCODE projects. Data were retrieved from scientific articles published in 1990-2014, a period comprising the development and the 10 years following the HGP completion. The fact that only 20,000 genes are protein and RNA-coding is one of the most striking HGP results. A new concept about the organization of genome arose. The ENCODE project was initiated in 2003 and targeted to map the functional elements of the human genome. This project revealed that the human genome is pervasively transcribed. Therefore, it was determined that a large part of the non-protein coding regions are functional. Finally, a more sophisticated view of chromatin structure emerged. The mechanistic functioning of the genome has been redrafted, revealing a much more complex picture. Besides, a gene-centric conception of the organism has to be reviewed. A number of criticisms have emerged against the ENCODE project approaches, raising the question of whether non-conserved but biochemically active regions are truly functional. Thus, HGP and ENCODE projects accomplished a great map of the human genome, but the data generated still requires further in depth analysis. © 2016 by The International Union of Biochemistry and Molecular Biology, 44:215-223, 2016.

  19. Data mining, knowledge discovery and data-driven modelling

    NARCIS (Netherlands)

    Solomatine, D.P.; Velickov, S.; Bhattacharya, B.; Van der Wal, B.

    2003-01-01

    The project was aimed at exploring the possibilities of a new paradigm in modelling - data-driven modelling, often referred as "data mining". Several application areas were considered: sedimentation problems in the Port of Rotterdam, automatic soil classification on the basis of cone penetration tes

  20. Knowledge, Beliefs and Attitudes of Somali Men in Olmsted County, Minnesota, U.S., on the Human Papillomavirus Vaccine and Cervical Cancer Screening: January 17, 2015.

    Science.gov (United States)

    Abakporo, Uzoma; Hussein, Abdirahman; Begun, James W; Shippee, Tetyana

    2017-08-16

    This study explores the general knowledge of Human Papillomavirus vaccine (HPV) and cervical cancer screening (CCS) among Somali men in the U.S., who are major decision-makers in Somali households. HPV infects both men and women, and causes genital warts and cervical cancer (CC). High mortality from CC persists among minorities due to low uptake of preventive tools. Eleven questions assessed general knowledge of HPV and CCS among 30 Somali male respondents. The knowledge of HPV and CCS by education level, age, and years lived in the U.S., was assessed using the health belief model. Most respondents had no knowledge of HPV vaccine and CCS, and low perceived susceptibility to HPV infection. There is need for more research on Somali men's attitude to HPV vaccine and CCS uptake among Somali adolescents and women.

  1. A knowledge representation meta-model for rule-based modelling of signalling networks

    Directory of Open Access Journals (Sweden)

    Adrien Basso-Blandin

    2016-03-01

    Full Text Available The study of cellular signalling pathways and their deregulation in disease states, such as cancer, is a large and extremely complex task. Indeed, these systems involve many parts and processes but are studied piecewise and their literatures and data are consequently fragmented, distributed and sometimes—at least apparently—inconsistent. This makes it extremely difficult to build significant explanatory models with the result that effects in these systems that are brought about by many interacting factors are poorly understood. The rule-based approach to modelling has shown some promise for the representation of the highly combinatorial systems typically found in signalling where many of the proteins are composed of multiple binding domains, capable of simultaneous interactions, and/or peptide motifs controlled by post-translational modifications. However, the rule-based approach requires highly detailed information about the precise conditions for each and every interaction which is rarely available from any one single source. Rather, these conditions must be painstakingly inferred and curated, by hand, from information contained in many papers—each of which contains only part of the story. In this paper, we introduce a graph-based meta-model, attuned to the representation of cellular signalling networks, which aims to ease this massive cognitive burden on the rule-based curation process. This meta-model is a generalization of that used by Kappa and BNGL which allows for the flexible representation of knowledge at various levels of granularity. In particular, it allows us to deal with information which has either too little, or too much, detail with respect to the strict rule-based meta-model. Our approach provides a basis for the gradual aggregation of fragmented biological knowledge extracted from the literature into an instance of the meta-model from which we can define an automated translation into executable Kappa programs.

  2. Toward a Conceptual Model for Social Mechanisms Enabling Knowledge Sharing: Dynamic Relationships among Three Dimensions of Social Capital

    Science.gov (United States)

    Jo, Sung Jun

    2008-01-01

    Knowledge sharing is important because individual knowledge is not transformed into organizational knowledge until it is shared. The conceptual model presents how social factors create the conditions for effective knowledge sharing. It illustrates how three dimensions of social capital impact with each other and with knowledge sharing. Social…

  3. Human papillomavirus infection: knowledge, attitudes, and behaviors among lesbian, gay men, and bisexual in Italy.

    Directory of Open Access Journals (Sweden)

    Concetta P Pelullo

    Full Text Available BACKGROUND: This cross-sectional study assess knowledge, attitudes, and behavior towards the human papillomavirus (HPV and the vaccination among a random sample of 1000 lesbian, gay men, and bisexual women and men. METHODS: A face-to-face interview sought information about: socio-demographic characteristics, knowledge about HPV infection, perception of risk towards HPV infection and/or cervical, anal, and oropharyngeal cancers, perception of the benefits of a vaccination to prevent cervical, anal, and oropharyngeal cancers, sexual behaviors, health-promoting behaviors, and willingness to receive the HPV vaccine. RESULTS: Only 60.6% had heard about the HPV infection and this knowledge was significantly higher in female, in those being a member of a homosexual association, in those having had the first sexual experience at a younger age, in those having received information about the HPV infection from physicians, and in those having no need of information about HPV infection. A higher perceived risk of contracting HPV infection has been observed in those younger, lesbian and gay men, who have heard of HPV infection and knew the risk factors and its related diseases, who have received information about HPV infection from physicians, and who need information about HPV infection. Only 1.7% have undergone HPV immunization and 73.3% professed intent to obtain it in the future. The significant predictors of the willingness to receive this vaccine were belief that the vaccination is useful, perception to be at higher risk of contracting HPV infection, and perception to be at higher risk of developing cervical, anal, and oropharyngeal cancers. CONCLUSIONS: Information and interventions are strongly needed in order to overcome the lack of knowledge about HPV infection and its vaccination. Inclusion of boys in the national vaccination program and initiate a catch-up program for men who have sex with men up to 26 years may reduce their burden of HPV

  4. Mothers' human papilloma virus knowledge and willingness to vaccinate their adolescent daughters in Lagos, Nigeria

    Directory of Open Access Journals (Sweden)

    Ezenwa BN

    2013-07-01

    Full Text Available Beatrice N Ezenwa,1 Mobolanle R Balogun,2 Ifeoma P Okafor2 1Department of Pediatrics, 68 Nigerian Army Reference Hospital, Lagos State, Nigeria; 2Department of Community Health and Primary Care, College of Medicine, University of Lagos, Lagos State, Nigeria Introduction: Human papillomavirus (HPV is one of the most common sexually transmitted infections in sexually active adolescents and young women and has been implicated as a cause of the majority of cases of cervical cancer, which is the second most common cancer in women in Nigeria. HPV is preventable with the use of HPV vaccines. Objectives: The objective of this study was to assess mothers' HPV knowledge and their willingness to vaccinate their adolescent daughters in Lagos, Nigeria. Materials and methods: This study was a community-based, descriptive cross-sectional study carried out in July, 2012 in Shomolu Local Government Area (LGA of Lagos State, Nigeria. Multistage sampling method was employed to select the 290 respondents who participated in the study. Structured, pretested, interviewer-administered questionnaires were used for data collection. Data was analyzed with Epi-Info™ version 7. Results: The study revealed low awareness of HPV (27.9% and HPV vaccines (19.7% among the mothers that participated. There was a high awareness for cervical cancer but little knowledge of its link to HPV. Awareness and utilization of HPV vaccines increased with increasing educational level (P<0.05. There was a high willingness and intention among the mothers to vaccinate their girls (88.9% and to recommend the vaccine to others (91.0%. Accessibility and affordability of the HPV vaccines were found to be possible barriers to future utilization of the vaccines. Conclusion: Despite low knowledge about HPV and HPV vaccines, mothers were willing to vaccinate their daughters. We recommend improving mothers' knowledge by education and the possible inclusion of the vaccine in the national immunization

  5. Human papillomavirus vaccines and cervical cancer: awareness, knowledge, and risk perception among Turkish undergraduate students.

    Science.gov (United States)

    Rathfisch, Gülay; Güngör, İlkay; Uzun, Ece; Keskin, Özlem; Tencere, Zeliha

    2015-03-01

    The aim of this study was to evaluate awareness, knowledge, and risk perception about human papillomavirus (HPV), cervical cancer, and HPV vaccines among undergraduate students in Turkey. The convenience sample of this descriptive cross-sectional study consisted of 605 undergraduate students in Istanbul University during a semester. Demographic characteristics of students, their reproductive health and lifestyle behaviors, and knowledge of HPV and HPV vaccine were questioned using self-administered forms. The overall proportion of students who had heard about HPV infection was 48.8%, while the proportion of students who had heard of the HPV vaccine was 44.5%. Forty eight percent of females and 60% of males reported never having heard of the HPV. Only 45.7% of females had knowledge about HPV as a cause of genital warts, and 58.1% correctly indicated that HPV caused cervical cancer. The majority of students in both genders (>80%) knew that the infection is primarily transmitted through sexual intercourse. Females were more concerned than males about having cervical/penile cancer associated with HPV in the future. Only 46.4% of females and 39% of males reported having heard of the HPV vaccine. The majority of the female and male students did not know who should get the HPV vaccine and when to get vaccinated. Among males, 25.8% reported that they would consider getting vaccinated (if available) and 38.4% intended to vaccinate their children. Turkish undergraduate students had a low to moderate level of knowledge regarding HPV infection and HPV vaccine. In order to increase awareness about HPV and develop positive behaviors, young people should be provided with accurate information through educational activities in the community and health care services.

  6. Animal Models of Human Placentation - A Review

    DEFF Research Database (Denmark)

    Carter, Anthony Michael

    2007-01-01

    This review examines the strengths and weaknesses of animal models of human placentation and pays particular attention to the mouse and non-human primates. Analogies can be drawn between mouse and human in placental cell types and genes controlling placental development. There are, however...... and endometrium is similar in macaques and baboons, as is the subsequent lacunar stage. The absence of interstitial trophoblast cells in the monkey is an important difference from human placentation. However, there is a strong resemblance in the way spiral arteries are invaded and transformed in the macaque...

  7. The Human-Artifact Model

    DEFF Research Database (Denmark)

    Bødker, Susanne; Klokmose, Clemens Nylandsted

    2011-01-01

    Although devices of all shapes and sizes currently dominate the technological landscape, human–computer interaction (HCI) as a field is not yet theoretically equipped to match this reality. In this article we develop the human–artifact model, which has its roots in activity theoretical HCI....... By reinterpreting the activity theoretical foundation, we present a framework that helps addressing the analysis of individual interactive artifacts while embracing that they are part of a larger ecology of artifacts. We show how the human–artifact model helps structuring the understanding of an artifact's action......-possibilities in relation to the artifact ecology surrounding it. Essential to the model is that it provides four interconnected levels of analysis and addresses the possibilities and problems at these four levels. Artifacts and their use are constantly developing, and we address development in, and of, use. The framework...

  8. Finite element modeling of the human pelvis

    Energy Technology Data Exchange (ETDEWEB)

    Carlson, B.

    1995-11-01

    A finite element model of the human pelvis was created using a commercial wire frame image as a template. To test the final mesh, the model`s mechanical behavior was analyzed through finite element analysis and the results were displayed graphically as stress concentrations. In the future, this grid of the pelvis will be integrated with a full leg model and used in side-impact car collision simulations.

  9. The relationship between Chinese construction workers' HIV/AIDS-related knowledge, attitudes and behaviour: a structural equation model.

    Science.gov (United States)

    Qu, B; Guo, H Q; Liu, J; Zuo, T M; Zhang, Y; Sun, G

    2009-01-01

    This study explored the relationship between human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS)-related knowledge, attitudes and behaviour in migrant urban construction workers using structural equation modelling (SEM). A cross-sectional study was conducted among 428 male subjects on three building sites in Shenyang City. The SEM model of HIV/AIDS-related knowledge, attitudes and behaviour was built using LISREL version 8.5 and it fitted the data well, as shown by an adjusted goodness of fit index of 0.82 and a root mean square error of approximation of 0.094. Knowledge of HIV/AIDS was closely correlated with attitudes and behaviour. Age was an important factor affecting HIV/AIDS-related knowledge, attitudes and behaviour. These findings suggest that increasing HIV/AIDS-related knowledge could improve the attitude and behaviour of migrant urban construction workers, enabling them to avoid high-risk behaviour that increases the spread of HIV/AIDS. Any intervention used will need to take the important factor of age into consideration.

  10. The mind in the model: capturing expert knowledge with the help of fuzzy logic

    NARCIS (Netherlands)

    Janssen, J.A.E.B.; Schielen, R.M.J.; Augustijn, D.C.M.; Os, van A.G.

    2006-01-01

    Fuzzy logic offers a way of capturing qualitative knowledge in models. We tested its application in modelling for long term river management planning. We used fuzzy logic to model landscape impacts of different river measures. Preliminary results show that the method allows for modelling expert know

  11. Computational Intelligence in a Human Brain Model

    Directory of Open Access Journals (Sweden)

    Viorel Gaftea

    2016-06-01

    Full Text Available This paper focuses on the current trends in brain research domain and the current stage of development of research for software and hardware solutions, communication capabilities between: human beings and machines, new technologies, nano-science and Internet of Things (IoT devices. The proposed model for Human Brain assumes main similitude between human intelligence and the chess game thinking process. Tactical & strategic reasoning and the need to follow the rules of the chess game, all are very similar with the activities of the human brain. The main objective for a living being and the chess game player are the same: securing a position, surviving and eliminating the adversaries. The brain resolves these goals, and more, the being movement, actions and speech are sustained by the vital five senses and equilibrium. The chess game strategy helps us understand the human brain better and easier replicate in the proposed ‘Software and Hardware’ SAH Model.

  12. Computational Intelligence in a Human Brain Model

    Directory of Open Access Journals (Sweden)

    Viorel Gaftea

    2016-06-01

    Full Text Available This paper focuses on the current trends in brain research domain and the current stage of development of research for software and hardware solutions, communication capabilities between: human beings and machines, new technologies, nano-science and Internet of Things (IoT devices. The proposed model for Human Brain assumes main similitude between human intelligence and the chess game thinking process. Tactical & strategic reasoning and the need to follow the rules of the chess game, all are very similar with the activities of the human brain. The main objective for a living being and the chess game player are the same: securing a position, surviving and eliminating the adversaries. The brain resolves these goals, and more, the being movement, actions and speech are sustained by the vital five senses and equilibrium. The chess game strategy helps us understand the human brain better and easier replicate in the proposed ‘Software and Hardware’ SAH Model.

  13. A Knowledge Discovery from POS Data using State Space Models

    Science.gov (United States)

    Sato, Tadahiko; Higuchi, Tomoyuki

    The number of competing-brands changes by new product's entry. The new product introduction is endemic among consumer packaged goods firm and is an integral component of their marketing strategy. As a new product's entry affects markets, there is a pressing need to develop market response model that can adapt to such changes. In this paper, we develop a dynamic model that capture the underlying evolution of the buying behavior associated with the new product. This extends an application of a dynamic linear model, which is used by a number of time series analyses, by allowing the observed dimension to change at some point in time. Our model copes with a problem that dynamic environments entail: changes in parameter over time and changes in the observed dimension. We formulate the model with framework of a state space model. We realize an estimation of the model using modified Kalman filter/fixed interval smoother. We find that new product's entry (1) decreases brand differentiation for existing brands, as indicated by decreasing difference between cross-price elasticities; (2) decreases commodity power for existing brands, as indicated by decreasing trend; and (3) decreases the effect of discount for existing brands, as indicated by a decrease in the magnitude of own-brand price elasticities. The proposed framework is directly applicable to other fields in which the observed dimension might be change, such as economic, bioinformatics, and so forth.

  14. Modeling Perception of 3D Forms Using Fuzzy Knowledge Bases

    DEFF Research Database (Denmark)

    Achiche, Sofiane; Ahmed, Saeema

    2009-01-01

    the aesthetics of their products are likely to be perceived are of value. In this paper the authors propose an approach to formalize the relationship between geometric information of a 3D object and the intended perception using fuzzy logic. 3D objects (shapes) created by design engineering students to evoke...... a certain perception were analysed. Three different fuzzy logic models, with different input variables, for evaluating massiveness and lightness in a form are proposed. The uthors identified geometric information as inputs of the fuzzy model and developed a set of fuzzy if/then rules to map...... the relationships between the fuzzy sets on each input premise and the output premise. In our case the output premise of the fuzzy logic model is the level of belonging to the design context (perception). An evaluation of how users perceived the shapes was conducted to validate the fuzzy logic models and showed...

  15. Using intentional analysis to model knowledge management requirements in communities of practice

    NARCIS (Netherlands)

    Guizzardi-Silva Souza, R.; Perini, Anna; Dignum, Virginia

    2003-01-01

    This working document presents a Knowledge Management (KM) fictitious scenario to be modeled using Intentional Analysis in order to guide us on choosing the appropriate Information System support for the given situation. In this scenario, a newcomer in a knowledge organization decides to join an

  16. The Transfer of Content Knowledge in a Cascade Model of Professional Development

    Science.gov (United States)

    Turner, Fay; Brownhill, Simon; Wilson, Elaine

    2017-01-01

    A cascade model of professional development presents a particular risk that "knowledge" promoted in a programme will be diluted or distorted as it passes from originators of the programme to local trainers and then to the target teachers. Careful monitoring of trainers' and teachers' knowledge as it is transferred through the system is…

  17. Toward a Model of Embodied Environmental Education: Perspectives from Theatre and Indigenous Knowledges

    Science.gov (United States)

    Lane, Julia

    2012-01-01

    This paper suggests a model of embodied environmental education grounded in participant interviews, fieldwork, scholarly literature, and the author's own embodied relationship with the natural world. In this article, embodiment refers to a process that stems from Indigenous Knowledges and theatre. Although Indigenous Knowledges and theatre…

  18. Vocabulary and Grammar Knowledge in Second Language Reading Comprehension: A Structural Equation Modeling Study

    Science.gov (United States)

    Zhang, Dongbo

    2012-01-01

    Using structural equation modeling analysis, this study examined the contribution of vocabulary and grammatical knowledge to second language reading comprehension among 190 advanced Chinese English as a foreign language learners. Vocabulary knowledge was measured in both breadth (Vocabulary Levels Test) and depth (Word Associates Test);…

  19. A Conceptual Model for Teaching Critical Thinking in a Knowledge Economy

    Science.gov (United States)

    Chadwick, Clifton

    2011-01-01

    Critical thinking, viewed as rational and analytic thinking, is crucial for participation in a knowledge economy and society. This article provides a brief presentation of the importance of teaching critical thinking in a knowledge economy; suggests a conceptual model for teaching thinking; examines research on the historical role of teachers in…

  20. Putting TPACK on the Radar: A Visual Quantitative Model for Tracking Growth of Essential Teacher Knowledge

    Science.gov (United States)

    Colvin, Julien C.; Tomayko, Ming C.

    2015-01-01

    Since Mishra and Koehler's (2006) description of technological pedagogical content knowledge (also known as TPACK), scholars have analyzed the various paths preservice and in-service teachers can take to develop their knowledge in each of the subdomains. However, the model of the overall framework can be confusing to teachers, as Venn diagrams are…

  1. Human vs. Computer Diagnosis of Students' Natural Selection Knowledge: Testing the Efficacy of Text Analytic Software

    Science.gov (United States)

    Nehm, Ross H.; Haertig, Hendrik

    2012-01-01

    Our study examines the efficacy of Computer Assisted Scoring (CAS) of open-response text relative to expert human scoring within the complex domain of evolutionary biology. Specifically, we explored whether CAS can diagnose the explanatory elements (or Key Concepts) that comprise undergraduate students' explanatory models of natural selection with…

  2. Survey, modeling, interpretation as multidisciplinary components of a Knowledge System

    Directory of Open Access Journals (Sweden)

    Carlo Bianchini

    2014-04-01

    Full Text Available Cultural Heritage represents a very difficult subject to be handled. Despite its cross-cutting and multi-level characters (scientific, social, economic, political, etc., nevertheless the topic can hardly be framed in a proper and comprehensive way. Any project addressing Cultural Heritage  (documentation, preservation, retrofitting, valorisation and so on actually tends to exalt a specific point of view and, therefore, to neglect potentially crucial contributions coming from different fields of expertise. Comprehensive solutions to this problem seem by now available thanks to ICT and the 3D Digitalization and Multimedia Technologies: nevertheless the more the platforms improve their multidisciplinary capabilities and interoperability, the more they need an intelligent design and an accurate control during the implementation phase. Built Cultural Heritage (as historic buildings, districts, sites, etc. perfectly represents the wide range of situations, which have to be tackled. Any intervention, in fact, from the design phase to its realization and validation, actually deals with several different interlaced layers that together depict a “complex system”. The construction of a Knowledge System represents a crucial step in correctly addressing the problem.

  3. Elucidation of xenobiotic metabolism pathways in human skin and human skin models by proteomic profiling.

    Directory of Open Access Journals (Sweden)

    Sven van Eijl

    Full Text Available BACKGROUND: Human skin has the capacity to metabolise foreign chemicals (xenobiotics, but knowledge of the various enzymes involved is incomplete. A broad-based unbiased proteomics approach was used to describe the profile of xenobiotic metabolising enzymes present in human skin and hence indicate principal routes of metabolism of xenobiotic compounds. Several in vitro models of human skin have been developed for the purpose of safety assessment of chemicals. The suitability of these epidermal models for studies involving biotransformation was assessed by comparing their profiles of xenobiotic metabolising enzymes with those of human skin. METHODOLOGY/PRINCIPAL FINDINGS: Label-free proteomic analysis of whole human skin (10 donors was applied and analysed using custom-built PROTSIFT software. The results showed the presence of enzymes with a capacity for the metabolism of alcohols through dehydrogenation, aldehydes through dehydrogenation and oxidation, amines through oxidation, carbonyls through reduction, epoxides and carboxylesters through hydrolysis and, of many compounds, by conjugation to glutathione. Whereas protein levels of these enzymes in skin were mostly just 4-10 fold lower than those in liver and sufficient to support metabolism, the levels of cytochrome P450 enzymes were at least 300-fold lower indicating they play no significant role. Four epidermal models of human skin had profiles very similar to one another and these overlapped substantially with that of whole skin. CONCLUSIONS/SIGNIFICANCE: The proteomics profiling approach was successful in producing a comprehensive analysis of the biotransformation characteristics of whole human skin and various in vitro skin models. The results show that skin contains a range of defined enzymes capable of metabolising different classes of chemicals. The degree of similarity of the profiles of the in vitro models indicates their suitability for epidermal toxicity testing. Overall, these

  4. A computational model for knowledge-driven monitoring of nuclear power plant operators based on information theory

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Man Cheol [Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, 373-1, Guseong-dong, Yuseong-gu, Daejeon 305-701 (Korea, Republic of)]. E-mail: charleskim@kaist.ac.kr; Seong, Poong Hyun [Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, 373-1, Guseong-dong, Yuseong-gu, Daejeon 305-701 (Korea, Republic of)

    2006-03-15

    To develop operator behavior models such as IDAC, quantitative models for the cognitive activities of nuclear power plant (NPP) operators in abnormal situations are essential. Among them, only few quantitative models for the monitoring and detection have been developed. In this paper, we propose a computational model for the knowledge-driven monitoring, which is also known as model-driven monitoring, of NPP operators in abnormal situations, based on the information theory. The basic assumption of the proposed model is that the probability that an operator shifts his or her attention to an information source is proportional to the expected information from the information source. A small experiment performed to evaluate the feasibility of the proposed model shows that the predictions made by the proposed model have high correlations with the experimental results. Even though it has been argued that heuristics might play an important role on human reasoning, we believe that the proposed model can provide part of the mathematical basis for developing quantitative models for knowledge-driven monitoring of NPP operators when NPP operators are assumed to behave very logically.

  5. A computational model for knowledge-driven monitoring of nuclear power plant operators based on information theory

    Energy Technology Data Exchange (ETDEWEB)

    Man Cheol Kim; Poong Hyun Seong [Korea Advanced Institute of Science and Technology, Daejeon (Korea). Department of Nuclear and Quantum Engineering

    2006-03-15

    To develop operator behavior models such as IDAC, quantitative models for the cognitive activities of nuclear power plant (NPP) operators in abnormal situations are essential. Among them, only few quantitative models for the monitoring and detection have been developed. In this paper, we propose a computational model for the knowledge-driven monitoring, which is also known as model-driven monitoring, of NPP operators in abnormal situations, based on the information theory. The basic assumption of the proposed model is that the probability that an operator shifts his or her attention to an information source is proportional to the expected information from the information source. A small experiment performed to evaluate the feasibility of the proposed model show that the predictions made by the proposed model have high correlations with the experimental results. Even though it has been argued that heuristics might play an important role on human reasoning, we believe that the proposed model can provide part of the mathematical basis for developing quantitative models for knowledge-driven monitoring of NPP operators when NPP operators are assumed to behave very logically. (author)

  6. Symbiotic intelligence: Self-organizing knowledge on distributed networks, driven by human interaction

    Energy Technology Data Exchange (ETDEWEB)

    Johnson, N.; Joslyn, C.; Rocha, L.; Smith, S.; Kantor, M. [Los Alamos National Lab., NM (United States); Rasmussen, S. [Los Alamos National Lab., NM (United States)]|[Santa Fe Inst., NM (United States)

    1998-07-01

    This work addresses how human societies, and other diverse and distributed systems, solve collective challenges that are not approachable from the level of the individual, and how the Internet will change the way societies and organizations view problem solving. The authors apply the ideas developed in self-organizing systems to understand self-organization in informational systems. The simplest explanation as to why animals (for example, ants, wolves, and humans) are organized into societies is that these societies enhance the survival of the individuals which make up the populations. Individuals contribute to, as well as adapt to, these societies because they make life easier in one way or another, even though they may not always understand the process, either individually or collectively. Despite the lack of understanding of the how of the process, society during its existence as a species has changed significantly, from separate, small hunting tribes to a highly technological, globally integrated society. The authors combine this understanding of societal dynamics with self-organization on the Internet (the Net). The unique capability of the Net is that it combines, in a common medium, the entire human-technological system in both breadth and depth: breadth in the integration of heterogeneous systems of machines, information and people; and depth in the detailed capturing of the entire complexity of human use and creation of information. When the full diversity of societal dynamics is combined with the accuracy of communication on the Net, a phase transition is argued to occur in problem solving capability. Through conceptual examples, an experiment of collective decision making on the Net and a simulation showing the effect of noise and loss on collective decision making, the authors argue that the resulting symbiotic structure of humans and the Net will evolve as an alternative problem solving approach for groups, organizations and society. Self

  7. Symbiotic intelligence: Self-organizing knowledge on distributed networks, driven by human interaction

    Energy Technology Data Exchange (ETDEWEB)

    Johnson, N.; Joslyn, C.; Rocha, L.; Smith, S.; Kantor, M. [Los Alamos National Lab., NM (United States); Rasmussen, S. [Los Alamos National Lab., NM (United States)]|[Santa Fe Inst., NM (United States)

    1998-07-01

    This work addresses how human societies, and other diverse and distributed systems, solve collective challenges that are not approachable from the level of the individual, and how the Internet will change the way societies and organizations view problem solving. The authors apply the ideas developed in self-organizing systems to understand self-organization in informational systems. The simplest explanation as to why animals (for example, ants, wolves, and humans) are organized into societies is that these societies enhance the survival of the individuals which make up the populations. Individuals contribute to, as well as adapt to, these societies because they make life easier in one way or another, even though they may not always understand the process, either individually or collectively. Despite the lack of understanding of the how of the process, society during its existence as a species has changed significantly, from separate, small hunting tribes to a highly technological, globally integrated society. The authors combine this understanding of societal dynamics with self-organization on the Internet (the Net). The unique capability of the Net is that it combines, in a common medium, the entire human-technological system in both breadth and depth: breadth in the integration of heterogeneous systems of machines, information and people; and depth in the detailed capturing of the entire complexity of human use and creation of information. When the full diversity of societal dynamics is combined with the accuracy of communication on the Net, a phase transition is argued to occur in problem solving capability. Through conceptual examples, an experiment of collective decision making on the Net and a simulation showing the effect of noise and loss on collective decision making, the authors argue that the resulting symbiotic structure of humans and the Net will evolve as an alternative problem solving approach for groups, organizations and society. Self

  8. Mathematical human modelling for impact loading

    NARCIS (Netherlands)

    Happee, R.; Hoof, J.F.A.M. van; Lange, R. de

    2001-01-01

    Mathematical modeling of the human body is widely used for automotive crash-safety research and design. Simulations have contributed to a reduction of injury numbers by optimization of vehicle structures and restraint systems. Currently, such simulations are largely performed using occupant models b

  9. Mathematical human modelling for impact loading

    NARCIS (Netherlands)

    Happee, R.; Hoof, J.F.A.M. van; Lange, R. de

    2001-01-01

    Mathematical modeling of the human body is widely used for automotive crash-safety research and design. Simulations have contributed to a reduction of injury numbers by optimization of vehicle structures and restraint systems. Currently, such simulations are largely performed using occupant models

  10. Mathematical human body modelling for impact loading

    NARCIS (Netherlands)

    Happee, R.; Morsink, P.L.J.; Wismans, J.S.H.M.

    1999-01-01

    Mathematical modelling of the human body is widely used for automotive crash safety research and design. Simulations have contributed to a reduction of injury numbers by optimisation of vehicle structures and restraint systems. Currently such simulations are largely performed using occupant models

  11. Complex Systems and Human Performance Modeling

    Science.gov (United States)

    2013-12-01

    constitute a cognitive architecture or decomposing the work flows and resource constraints that characterize human-system interactions, the modeler...also explored the generation of so-called “ fractal ” series from simple task network models where task times are the calculated by way of a moving

  12. Models of the Human in Tantric Hinduism

    DEFF Research Database (Denmark)

    Olesen, Bjarne Wernicke; Flood, Gavin

    2018-01-01

    This research project explores the origins, developments and transformations of yogic models of the human (e.g. kundalini yoga, the cakra system and ritual sex) in the tantric goddess traditions or what might be called Śāktism of medieval India. These Śākta models of esoteric anatomy originating...

  13. Mathematical human body modelling for impact loading

    NARCIS (Netherlands)

    Happee, R.; Morsink, P.L.J.; Wismans, J.S.H.M.

    1999-01-01

    Mathematical modelling of the human body is widely used for automotive crash safety research and design. Simulations have contributed to a reduction of injury numbers by optimisation of vehicle structures and restraint systems. Currently such simulations are largely performed using occupant models b

  14. Interior Design Research: A Human Ecosystem Model.

    Science.gov (United States)

    Guerin, Denise A.

    1992-01-01

    The interior ecosystems model illustrates effects on the human organism of the interaction of the natural, behavioral, and built environment. Examples of interior lighting and household energy consumption show the model's flexibility for organizing study variables in interior design research. (SK)

  15. A Model of the Human Eye

    Science.gov (United States)

    Colicchia, G.; Wiesner, H.; Waltner, C.; Zollman, D.

    2008-01-01

    We describe a model of the human eye that incorporates a variable converging lens. The model can be easily constructed by students with low-cost materials. It shows in a comprehensible way the functionality of the eye's optical system. Images of near and far objects can be focused. Also, the defects of near and farsighted eyes can be demonstrated.

  16. Interior Design Research: A Human Ecosystem Model.

    Science.gov (United States)

    Guerin, Denise A.

    1992-01-01

    The interior ecosystems model illustrates effects on the human organism of the interaction of the natural, behavioral, and built environment. Examples of interior lighting and household energy consumption show the model's flexibility for organizing study variables in interior design research. (SK)

  17. Modeling of human movement monitoring using Bluetooth Low Energy technology.

    Science.gov (United States)

    Mokhtari, G; Zhang, Q; Karunanithi, M

    2015-01-01

    Bluetooth Low Energy (BLE) is a wireless communication technology which can be used to monitor human movements. In this monitoring system, a BLE signal scanner scans signal strength of BLE tags carried by people, to thus infer human movement patterns within its monitoring zone. However to the extent of our knowledge one main aspect of this monitoring system which has not yet been thoroughly investigated in literature is how to build a sound theoretical model, based on tunable BLE communication parameters such as scanning time interval and advertising time interval, to enable the study and design of effective and efficient movement monitoring systems. In this paper, we proposed and developed a statistical model based on Monte-Carlo simulation, which can be utilized to assess impacts of BLE technology parameters in terms of latency and efficiency, on a movement monitoring system, and can thus benefit a more efficient system design.

  18. How much expert knowledge is it worth to put in conceptual hydrological models?

    Science.gov (United States)

    Antonetti, Manuel; Zappa, Massimiliano

    2017-04-01

    Both modellers and experimentalists agree on using expert knowledge to improve our conceptual hydrological simulations on ungauged basins. However, they use expert knowledge differently for both hydrologically mapping the landscape and parameterising a given hydrological model. Modellers use generally very simplified (e.g. topography-based) mapping approaches and put most of the knowledge for constraining the model by defining parameter and process relational rules. In contrast, experimentalists tend to invest all their detailed and qualitative knowledge about processes to obtain a spatial distribution of areas with different dominant runoff generation processes (DRPs) as realistic as possible, and for defining plausible narrow value ranges for each model parameter. Since, most of the times, the modelling goal is exclusively to simulate runoff at a specific site, even strongly simplified hydrological classifications can lead to satisfying results due to equifinality of hydrological models, overfitting problems and the numerous uncertainty sources affecting runoff simulations. Therefore, to test to which extent expert knowledge can improve simulation results under uncertainty, we applied a typical modellers' modelling framework relying on parameter and process constraints defined based on expert knowledge to several catchments on the Swiss Plateau. To map the spatial distribution of the DRPs, mapping approaches with increasing involvement of expert knowledge were used. Simulation results highlighted the potential added value of using all the expert knowledge available on a catchment. Also, combinations of event types and landscapes, where even a simplified mapping approach can lead to satisfying results, were identified. Finally, the uncertainty originated by the different mapping approaches was compared with the one linked to meteorological input data and catchment initial conditions.

  19. Human Muscle Fatigue Model in Dynamic Motions

    CERN Document Server

    Ma, Ruina; Bennis, Fouad; Ma, Liang

    2012-01-01

    Human muscle fatigue is considered to be one of the main reasons for Musculoskeletal Disorder (MSD). Recent models have been introduced to define muscle fatigue for static postures. However, the main drawbacks of these models are that the dynamic effect of the human and the external load are not taken into account. In this paper, each human joint is assumed to be controlled by two muscle groups to generate motions such as push/pull. The joint torques are computed using Lagrange's formulation to evaluate the dynamic factors of the muscle fatigue model. An experiment is defined to validate this assumption and the result for one person confirms its feasibility. The evaluation of this model can predict the fatigue and MSD risk in industry production quickly.

  20. Genome-wide genetic interaction analysis of glaucoma using expert knowledge derived from human phenotype networks.

    Science.gov (United States)

    Hu, Ting; Darabos, Christian; Cricco, Maria E; Kong, Emily; Moore, Jason H

    2015-01-01

    The large volume of GWAS data poses great computational challenges for analyzing genetic interactions associated with common human diseases. We propose a computational framework for characterizing epistatic interactions among large sets of genetic attributes in GWAS data. We build the human phenotype network (HPN) and focus around a disease of interest. In this study, we use the GLAUGEN glaucoma GWAS dataset and apply the HPN as a biological knowledge-based filter to prioritize genetic variants. Then, we use the statistical epistasis network (SEN) to identify a significant connected network of pairwise epistatic interactions among the prioritized SNPs. These clearly highlight the complex genetic basis of glaucoma. Furthermore, we identify key SNPs by quantifying structural network characteristics. Through functional annotation of these key SNPs using Biofilter, a software accessing multiple publicly available human genetic data sources, we find supporting biomedical evidences linking glaucoma to an array of genetic diseases, proving our concept. We conclude by suggesting hypotheses for a better understanding of the disease.

  1. Human-Nature Relationship in Mediterranean Streams: Integrating Different Types of Knowledge to Improve Water Management

    Directory of Open Access Journals (Sweden)

    Carla Gonzalez

    2009-12-01

    Full Text Available The social and ecological systems of Mediterranean streams are intrinsically linked as a result of long human occupation. In this region, these links vary greatly across small distances due to geomorphology, resulting in great diversity across space, which poses particular challenges for understanding and managing these systems. This demands (i interdisciplinary integration of knowledge that focuses on the social-ecological interactions, while according due consideration to the whole; and also (ii transdisciplinary integration, integrating lay and expert knowledge to understand local specificities. To address these needs - a focus on interactions and local knowledge - the research presented here studies the human-nature relationship in Mediterranean streams. Its main objective is to improve understanding of Mediterranean streams, but it also provides practical inputs to enhance local-level management. The study adopts an applied approach from the perspective of natural resources management. A case study was developed conducting field work on streams within the Natura 2000 site of Monfurado, Portugal - a mainly privately owned area with conflicting land uses between conservation and farming. Rivers and streams in Portugal are considered to be in very bad condition, particularly with regard to water quality. The experimental design was based, from a critical realism perspective of inter- and trans-disciplinarity, on the complementarities between methodologies from (i the social sciences: value survey and analysis of discourse; and (ii the natural sciences: biomonitoring and integrity biotic indexes. Results characterized the connected systems from both ecological and social points of view. They also characterized the relationship between both dimensions. We concluded that well-established riparian vegetation cover of streams is a key structural element of the human-nature relationship in the Mediterranean streams of Monfurado at several levels

  2. Model evolvement and reuse technology of injection molding machine based on performance knowledge

    Institute of Scientific and Technical Information of China (English)

    Wei Zhe; Feng Yixiong; Tan Jianrong; Wang Jinlong

    2008-01-01

    To illuminate the necessity of model evolvement and reuse, dynamics of injection molding machine's product models are analyzed. The performance knowledge is used to support the model evolvement and reuse. The driven factors of mechanical product model are concluded. The dynamic characteristics of product model are described. The performance knowledge is used to improve specific evolvement process. The upper-layer passing rules are adopted in the mechanical product configuration design. The rules of product model evolvement are investigated. And the model evolvement of injection molding machine has three levels. Practical and effective realization arithmetic is given to realize the performance knowledge reuse. Finally, HT1800X1N series injection molding machines are taken as examples to illuminate that the arithmetic is correct and practical.

  3. Utilitarian Model of Measuring Confidence within Knowledge-Based Societies

    Science.gov (United States)

    Jack, Brady Michael; Hung, Kuan-Ming; Liu, Chia Ju; Chiu, Houn Lin

    2009-01-01

    This paper introduces a utilitarian confidence testing statistic called Risk Inclination Model (RIM) which indexes all possible confidence wagering combinations within the confines of a defined symmetrically point-balanced test environment. This paper presents the theoretical underpinnings, a formal derivation, a hypothetical application, and…

  4. Developmental relations between vocabulary knowledge and reading comprehension: a latent change score modeling study.

    Science.gov (United States)

    Quinn, Jamie M; Wagner, Richard K; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, Mage = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for the presence of leading and lagging influences. Univariate models indicated growth in vocabulary knowledge, and reading comprehension was determined by two parts: constant yearly change and change proportional to the previous level of the variable. Bivariate models indicated previous levels of vocabulary knowledge acted as leading indicators of reading comprehension growth, but the reverse relation was not found. Implications for theories of developmental relations between vocabulary and reading comprehension are discussed.

  5. Integrated knowledge-based modeling and its application for classification problems

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Knowledge discovery from data directly can hardly avoid the fact that it is biased towards the collected experimental data, whereas, expert systems are always baffled with the manual knowledge acquisition bottleneck. So it is believable that integrating the knowledge embedded in data and those possessed by experts can lead to a superior modeling approach. Aiming at the classification problems, a novel integrated knowledge-based modeling methodology, oriented by experts and driven by data, is proposed. It starts from experts identifying modeling parameters, and then the input space is partitioned followed by fuzzification. Afterwards, single rules are generated and then aggregated to form a rule base. on which a fuzzy inference mechanism is proposed. The experts are allowed to make necessary changes on the rule base to improve the model accuracy. A real-world application, welding fault diagnosis, is presented to demonstrate the effectiveness of the methodology.

  6. The Role of a Human Factor and Psychological Contract in Managing the Knowledge in Conditions of Globalization

    Directory of Open Access Journals (Sweden)

    Joanna Rębisz

    2008-07-01

    Full Text Available The modern business world is characterized by dynamic, changing markets and continuous technological advance. This article focuses on an issue related to a definition of the meaning of a man and his location in an organization that works in conditions of globalization. Certainly, the meaning of human as the source of knowledge in the development of organization is not a new subject. Knowledge is intrinsically linked to people and enables them to act. Modern organizations base their theory on the knowledge they can exploit to improve the competence of the employee, his loyalty and commitment to the company which aims at the competitive predominance. The identification of knowledge is necessary for the effective implementation of knowledge management system. Above all, presented theoretical analysis pinpoints mainly on discussing a mans role and psychological contract in managing the knowledge.

  7. The Hybrid Design: Integrating the Human and Technical Components of Just-In-Time Knowledge Management Systems

    Directory of Open Access Journals (Sweden)

    Nabie Y. Conteh

    2011-06-01

    Full Text Available This paper explores the right balance of human and technical resources in the design of Just-in-Time knowledge delivery. It also examines and analyzes the case study: “Teltech: The business of Knowledge Management” by Davenport. It further attempts to depict the characteristics of the hybrid. The paper describes how the hybrid can be applied to Just-In-Time knowledge delivery. It also seeks to analyze and explore its interplay with knowledge splits with a view to designing Just-In- Time Knowledge Management. These include: “tacit versus explicit knowledge”, “in-process” versus “after action” documentation, “process-centered versus product-centered approach”, “knowledge versus information” and the “culture of sharing versus hoarding.”

  8. Semantic and Time-Dependent Expertise Profiling Models in Community-Driven Knowledge Curation Platforms

    Directory of Open Access Journals (Sweden)

    Jane Hunter

    2013-10-01

    Full Text Available Online collaboration and web-based knowledge sharing have gained momentum as major components of the Web 2.0 movement. Consequently, knowledge embedded in such platforms is no longer static and continuously evolves through experts’ micro-contributions. Traditional Information Retrieval and Social Network Analysis techniques take a document-centric approach to expertise modeling by creating a macro-perspective of knowledge embedded in large corpus of static documents. However, as knowledge in collaboration platforms changes dynamically, the traditional macro-perspective is insufficient for tracking the evolution of knowledge and expertise. Hence, Expertise Profiling is presented with major challenges in the context of dynamic and evolving knowledge. In our previous study, we proposed a comprehensive, domain-independent model for expertise profiling in the context of evolving knowledge. In this paper, we incorporate Language Modeling into our methodology to enhance the accuracy of resulting profiles. Evaluation results indicate a significant improvement in the accuracy of profiles generated by this approach. In addition, we present our profile visualization tool, Profile Explorer, which serves as a paradigm for exploring and analyzing time-dependent expertise profiles in knowledge-bases where content evolves overtime. Profile Explorer facilitates comparative analysis of evolving expertise, independent of the domain and the methodology used in creating profiles.

  9. Mathematical models of human african trypanosomiasis epidemiology.

    Science.gov (United States)

    Rock, Kat S; Stone, Chris M; Hastings, Ian M; Keeling, Matt J; Torr, Steve J; Chitnis, Nakul

    2015-03-01

    Human African trypanosomiasis (HAT), commonly called sleeping sickness, is caused by Trypanosoma spp. and transmitted by tsetse flies (Glossina spp.). HAT is usually fatal if untreated and transmission occurs in foci across sub-Saharan Africa. Mathematical modelling of HAT began in the 1980s with extensions of the Ross-Macdonald malaria model and has since consisted, with a few exceptions, of similar deterministic compartmental models. These models have captured the main features of HAT epidemiology and provided insight on the effectiveness of the two main control interventions (treatment of humans and tsetse fly control) in eliminating transmission. However, most existing models have overestimated prevalence of infection and ignored transient dynamics. There is a need for properly validated models, evolving with improved data collection, that can provide quantitative predictions to help guide control and elimination strategies for HAT.

  10. 基於XML之分散式模糊知識管理系統模式 An XML-based Distributed System Model of Fuzzy Knowledge Management

    Directory of Open Access Journals (Sweden)

    Sinn-cheng Lin

    2000-06-01

    Full Text Available 無This paper focuses the attention on some issues of Web-based fuzzy knowledge management system. In the recent years, fuzzy theory has been an important research field of knowledge engineering. It provides a fundamental theory to deal with the linguistic information of human intelligence mathematically. On the other hand, the second-generation Web that based on XML technology is expected to extend the Internet beyond information delivery to knowledge management. To join together the advantages of both technologies, three major works are accomplished in this paper. First a distributed system model of fuzzy knowledge management based on XML technology is proposed. secondly, the structure of the fuzzy knowledge base is deeply analyzed for defining a fuzzy DTD. Finally, a prototype of DTD for creating fuzzy knowledge base by XML is developed.

  11. Human models of acute lung injury

    Directory of Open Access Journals (Sweden)

    Alastair G. Proudfoot

    2011-03-01

    Full Text Available Acute lung injury (ALI is a syndrome that is characterised by acute inflammation and tissue injury that affects normal gas exchange in the lungs. Hallmarks of ALI include dysfunction of the alveolar-capillary membrane resulting in increased vascular permeability, an influx of inflammatory cells into the lung and a local pro-coagulant state. Patients with ALI present with severe hypoxaemia and radiological evidence of bilateral pulmonary oedema. The syndrome has a mortality rate of approximately 35% and usually requires invasive mechanical ventilation. ALI can follow direct pulmonary insults, such as pneumonia, or occur indirectly as a result of blood-borne insults, commonly severe bacterial sepsis. Although animal models of ALI have been developed, none of them fully recapitulate the human disease. The differences between the human syndrome and the phenotype observed in animal models might, in part, explain why interventions that are successful in models have failed to translate into novel therapies. Improved animal models and the development of human in vivo and ex vivo models are therefore required. In this article, we consider the clinical features of ALI, discuss the limitations of current animal models and highlight how emerging human models of ALI might help to answer outstanding questions about this syndrome.

  12. An Empirical Research on the Correlation between Human Capital and Career Success of Knowledge Workers in Enterprise

    Science.gov (United States)

    Guo, Wenchen; Xiao, Hongjun; Yang, Xi

    Human capital plays an important part in employability of knowledge workers, also it is the important intangible assets of company. This paper explores the correlation between human capital and career success of knowledge workers. Based on literature retrieval, we identified measuring tool of career success and modified further; measuring human capital with self-developed scale of high reliability and validity. After exploratory factor analysis, we suggest that human capital contents four dimensions, including education, work experience, learning ability and training; career success contents three dimensions, including perceived internal competitiveness of organization, perceived external competitiveness of organization and career satisfaction. The result of empirical analysis indicates that there is a positive correlation between human capital and career success, and human capital is an excellent predictor of career success beyond demographics variables.

  13. Mathematical modeling of the human knee joint

    Energy Technology Data Exchange (ETDEWEB)

    Ricafort, Juliet [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Biomedical Engineering

    1996-05-01

    A model was developed to determine the forces exerted by several flexor and extensor muscles of the human knee under static conditions. The following muscles were studied: the gastrocnemius, biceps femoris, semitendinosus, semimembranosus, and the set of quadricep muscles. The tibia and fibula were each modeled as rigid bodies; muscles were modeled by their functional lines of action in space. Assumptions based on previous data were used to resolve the indeterminacy.

  14. An Investigation of the Reliability of Knowledge Measures Through Relational Mapping in Joint Military Environments: Knowledge, Models and Tools to Improve the Effectiveness of Naval Distance Learning

    Science.gov (United States)

    2006-06-01

    Reliability and validity of a computer-based knowledge mapping system to measure content understanding. Computers in Human Behavior , 15, 315-334. Joint Special...Jr. (1999). Computer-based performance assessments: A solution to the narrow measurement and reporting of problem-solving. Computers in Human Behavior , 15,403

  15. A Generic Model to Exploit Urban Regulation Knowledge

    Directory of Open Access Journals (Sweden)

    Mickaël Brasebin

    2016-02-01

    Full Text Available The Right to Build is defined by textual elements that determine what an owner can build on a parcel. Such regulations contain elements that can influence the development of territories. Expressed through legal texts, their effects on the territory are difficult to assess because of the documents’ complexity and of the diversity of urban configurations. In this paper, we present a generic and extendable model to represent such  regulations. This model is based on (1 a representation of geographical concepts (attributes, features and relations mentioned in regulations and (2 rules formalized with Object Constraints Language (OCL. We also propose an implementation that allows the handling of formalized rules in order to check if a building configuration proposal respects urban regulations. Many applications are possible in order to assist in the conception of such regulations, land acquisition strategy or territorial evolution studies, in this article, we notably describe a future application dedicated to assist building permit surveyors.

  16. A Concept Map Knowledge Model of Intelligence Analysis

    Science.gov (United States)

    2011-05-01

    semantics, morphology, and inclusion of a focus question, which are discussed in Sub-section 2.3. A brief history of Novakian CMapping is given in Sub...model and is more interactive; and • It allows the inclusion of numerous resources that can be accessed with a click of a computer mouse, which is...Conéctate al Conocimiento: Una Estrategia Nacional de Panamá basada en Mapas Conceptuales. In Second International Conference on Concept Mapping

  17. Preclinical and human surrogate models of itch

    DEFF Research Database (Denmark)

    Hoeck, Emil August; Marker, Jens Broch; Gazerani, Parisa;

    2016-01-01

    Pruritus, or simply itch, is a debilitating symptom that significantly decreases the quality of life in a wide range of clinical conditions. While histamine remains the most studied mediator of itch in humans, treatment options for chronic itch, in particular antihistamine-resistant itch, are lim...... currently applied in animals and humans. This article is protected by copyright. All rights reserved.......Pruritus, or simply itch, is a debilitating symptom that significantly decreases the quality of life in a wide range of clinical conditions. While histamine remains the most studied mediator of itch in humans, treatment options for chronic itch, in particular antihistamine-resistant itch......, are limited. Relevant preclinical and human surrogate models of non-histaminergic itch are needed to accelerate the development of novel antipruritics and diagnostic tools. Advances in basic itch research have facilitated the development of diverse models of itch and associated dysesthesiae. While...

  18. Knowledge and Beliefs Regarding Human Papillomavirus Among College Students at a Minority-Serving Institution

    Science.gov (United States)

    Schmotzer, Geri; Reding, Kerryn

    2017-01-01

    Background Cervical cancer is a leading cause of death in U.S. women, with Hispanic women at higher risk of mortality than non-Hispanic white women. While the human papillomavirus (HPV) vaccine represents substantial progress towards cervical cancer prevention, little is currently known about Hispanic student’s beliefs regarding the HPV vaccine. Objective To assess the knowledge, attitudes, behaviors, and beliefs of college students in the U.S.-Mexico border region following the release of the HPV vaccine for both males and females. Methods This survey was conducted using a convenience sample where participants were recruited from pre-nursing and nursing courses. The self-administered questionnaire ascertained HPV vaccination status, and knowledge and beliefs regarding the HPV vaccine. Results 202 male and female students responded. 28.9% of respondents reported having received the HPV vaccine. Of the non-vaccinated students under age 27, 27.3% Hispanic students reported an intention to receive the vaccine. Misinformation about HPV was common and among non-Hispanic white students was associated with intention to get vaccinated. Conclusions We found a relatively small proportion of unvaccinated Hispanic and non-Hispanic nursing students intending to be vaccinated for HPV. Findings indicate an intervention to increase vaccination rates among college-aged students may not be as straightforward as increasing knowledge of HPV. Implications for Practice Nurses are in a unique position to educate and recommend HPV to underserved patients. Thus, educating nursing students regarding HPV and the associated cancers is paramount if we are to encourage ethnic minorities to receive the HPV vaccine. PMID:23813323

  19. Human Papilloma Virus and HPV vaccine knowledge among Mustafa Kemal University Medical Students

    Directory of Open Access Journals (Sweden)

    Raziye Keskin Kurt

    2014-02-01

    Full Text Available Background: Human papilloma virus (HPV is regarded as the main cause in the etiology of cervical cancer. The purpose of our study is to assess the knowledge of medical students about HPV vaccine and to evaluate their opinion on this subject.   Material and Method: The study population consisted of 488 medical students. The survey was composed of questions intended   to obtain information about transmission route of HPV, types of HPV, role of HPV in cervical cancer, whether HPV is treatable or not, which types of HPV the HPV vaccine prevents, the age groups HPV vaccine is administered, the opinions on HPV vaccine and sufficiency of public health, whether female students have underwent vaccination and if not what their drawbacks are.   Results: Mean age of the students participating in the study was 21±4 and 58 % of the patients were female. Out of 448 medical students, 60% of them did not know that HPV was a sexually transmitted disease. Only 55% students knew about the association of HPV with cervical cancer and 52% participants stated that HPV vaccine could not be preventive against cervical cancer. None of female students had been immunized and 67% of female students did not consider getting immunized. Among those who did not consider getting immunized, 70% said they had worries about the safety of the vaccine. Conclusion: Our study results revealed that the knowledge of medical students about HPV is satisfactory, however their knowledge about HPV vaccine, immunization status and desire to be immunized were little.

  20. Limits of responsiveness concerning human-readable knowledge bases: an operational analysis

    CERN Document Server

    Pentzaropoulos, G C

    2010-01-01

    Introduction. The purpose of this work is the evaluation of responsiveness when remote users communicate with a human-readable knowledge base (KB). Responsiveness [R(s)] is considered here as a measure of service quality. Method. The preferred method is operational analysis, a variation of classical stochastic theory, which allows for the study of user-system interaction with minimal computational effort. Analysis. The analysis is based on well-known performance metrics, such as service ability, elapsed time, and throughput: from these metrics estimates of R(s) are derived analytically. Results. Critical points indicating congestion are obtained: these are limits on the number of admissible requests and the number of connected users. Also obtained is a sufficient condition for achieving flow balance between the KB host and the request-relaying servers. Conclusions. When R(s) is within normal limits, users should appreciate the benefits from using the services offered by their KB host. When bottlenecks are for...

  1. Linking an agency strategic review to increase knowledge management: San Francisco County Human Service Agency.

    Science.gov (United States)

    Harrison, Lindsay

    2012-01-01

    Led by the agency director, the agency engaged in a Strategic Review, based on a comprehensive assessment of agency performance that identified strategies to improve organizational effectiveness through increased data-informed practice and knowledge management. The Strategic Review gathered information on staff perceptions, perceptions of external stakeholders, changing citywide and neighborhood demographics, policy mandates, and budget and workload issues. The need for the review was based upon multiple, substantial changes not addressed in the 2000 Strategic Plan, including the 2004 merger of the Department of Human Services and the Department of Aging and Adult Services, changes among the executive management team, transitions among key political entities, new policy mandates and changing budget allocations. This case study describes the Strategic Review process and content, summarizing key challenges and lessons related to addressing workload demands, fostering positive staff attitudes, balancing internal and external information needs, and integrating data use and planning processes across the agency. Copyright © Taylor & Francis Group, LLC

  2. Toward a Phase-Model of Global Knowledge Management Systems in Multinational Corporations

    DEFF Research Database (Denmark)

    Nielsen, Bo Bernhard; Michailova, Snejina

    2004-01-01

    -outperform competition and becomeleaders of the e-conomy'. Using examples from a number of large multinational companies thispaper proposes a phase model for the development of a global Knowledge Management Systemwith attention to pertinent policy and management issues in each stage.Keywords: Knowledge management system...... Management System. Although many companies have ManagementInformation Systems in place, this is only the first step in a knowledge-based company. Companiesthat understand and actively manage the process of designing, developing and advancing effectiveKMS' are likely to, in the words of Heinrich v. Pierer, `e......, phase-model, multinational corporation, managementactions...

  3. Knowledge and attitudes about Human Papilloma Virus (HPV) vaccination and cervical cancer screening among women in rural Uganda (POSTPRINT)

    Science.gov (United States)

    2016-01-01

    about Human Papilloma Virus (HPV) vaccination and cervical cancer screening among women in rural Uganda NKONWA INNOCENT H 1,2,3* , MICHAEL J...Human Papilloma virus (HPV) strains 16 and 18. While cervical cancer is widely understood as a fatal disease, knowledge and awareness of cervical...capture assay of self – collected virginal swabs in rural Uganda for detection of human papilloma virus . J Infect Disease, 1999 1999.180; p. 1316.1319. 19

  4. Knowledge and acceptability of human papillomavirus vaccination and cervical cancer screening among women in Karnataka, India.

    Science.gov (United States)

    Montgomery, Martha P; Dune, Tanaka; Shetty, Prasanna K; Shetty, Avinash K

    2015-03-01

    Cervical cancer is the leading cause of cancer-related mortality among women in India; however, participation in prevention and screening is low and the reasons for this are not well understood. In a cross-sectional survey in August 2008, 202 healthy women in Karnataka, India completed a questionnaire regarding knowledge, attitudes, and practices related to human papillomavirus (HPV) and cervical cancer. Factors associated with vaccination and Papanicolau (Pap) smear screening acceptance were explored. Thirty-six percent of women had heard of HPV while 15% had heard of cervical cancer. Five percent of women reported ever having a Pap smear, and 4% of women felt at risk of HPV infection. Forty-six percent of women were accepting of vaccination, but fewer (21%) were willing to have a Pap smear. Overall, knowledge related to HPV and cervical cancer topics was low. Women with negative attitudes toward HPV infection were 5.3 (95% confidence interval (CI) 2.8-10) times more likely to accept vaccination but were not significantly more likely to accept Pap smear (odds ratio 1.5, 95% CI 0.7-3.0). Cost and a low level of perceived risk were the most frequent factors cited as potential barriers. Improving awareness of HPV and cervical cancer through health care providers in addition to increasing access to vaccination and screening through government-sponsored programs may be feasible and effective methods to reduce cervical cancer burden in India.

  5. Human papillomavirus and cancer prevention: gaps in knowledge and prospects for research, policy, and advocacy.

    Science.gov (United States)

    Franco, Eduardo L; de Sanjosé, Silvia; Broker, Thomas R; Stanley, Margaret A; Chevarie-Davis, Myriam; Isidean, Sandra D; Schiffman, Mark

    2012-11-20

    The recognition that human papillomavirus (HPV) infection is the central, necessary cause of cervical cancer paved the way to new fronts of prevention via improved screening methods and HPV vaccination. Much has been learned in all fronts, from the molecular basis of our understanding of how HPV causes disease to the health economics of preventive strategies at the individual and population levels. Progress in other areas of cancer control has yet to show the same multi- and trans-disciplinary gains seen in research on HPV-associated malignancies, which is one of the unequivocal success stories in disease prevention. Yet, as an embarrassment of riches, much more research is needed to fill the gaps in knowledge that remain before we are able to reap the benefits from the knowledge translation from all fronts. Public health research on setting-specific implementation of HPV-based preventive strategies and more concerted advocacy to counter barriers facing the adoption of these strategies are likely to yield major dividends in reducing the burden of HPV-associated diseases. This article forms part of a special supplement entitled "Comprehensive Control of HPV Infections and Related Diseases" Vaccine Volume 30, Supplement 5, 2012.

  6. Knowledge of Greek adolescents on human papilloma virus (HPV) and vaccination

    Science.gov (United States)

    Vaidakis, Dennis; Moustaki, Irini; Zervas, Ioannis; Barbouni, Anastasia; Merakou, Kyriaki; Chrysi, Maria S.; Creatsa, George; Panoskaltsis, Theodoros

    2017-01-01

    Abstract The aim of the present study was to identify the sexual behavior, attitudes, beliefs, and knowledge on sexually transmitted infections (STIs) focused on human papilloma virus (HPV) in the Greek adolescent population. The participants were 4547 adolescents, a representative sample for Greek territory with a mean age of 17 years. After written permission from Greek ministry of education each student completed a questionnaire with 36 questions. The fields covered were demographic characteristics, sexual life data, and basic knowledge on HPV. In the present study, 43% and 75% of the participants knew about HPV or cervical cancer, while more than 6 out of 10 did not know the association between the 2. More than 60% of the participants could not answer correctly neither about HPV infection and cervical cancer frequency in sexually active women, nor about protection methods against HPV and cervical cancer. This study shows that the low vaccination coverage of the Greek population may be due to lack of information and awareness of the adolescents and their parents. It is our duty to increase our efforts in order to better educate the population and vaccinate the population as early as possible in their reproductive years. PMID:28072683

  7. Human resources management and organizational development as a basis for the knowledge management

    Directory of Open Access Journals (Sweden)

    Mária Antošová

    2010-02-01

    Full Text Available Effective usage of people’s knowledge, abilities and creativity of people is becoming the key for successful performancein competitive environment of the global economy. Creation of a new discipline – the knowledge management is a reaction to this trend.It includes all progress trends of the recent years and furthermore, it tries to develop a systematic method how to identify, obtain,maintain, and use the intellectual capital. Nowadays, nobody doubts that success of every company on the global market in great extent,depends on how fast it can adjust to quick changes of the business environment. This is also one of the reasons why human capitalis becoming a crucial and more valuable factor. Currently, during the era of globalization, the changes are extremely fast thereforeit is necessary that companies to reassess instruments and procedures that have been used so far. A proper way is to activate the wholesystem, think about organizational development and through that change acquire such a system that will be suitable for rapid changein business.

  8. Tangible Modelling to Elicit Domain Knowledge: An Experiment and Focus Group

    NARCIS (Netherlands)

    Ionita, Dan; Wieringa, Roelf J.; Bullee, Jan-Willem; Vasenev, Alexandr; Johannesson, Paul; Li Lee, Mong; Liddle, Stephen W.; Opdahl, Andreas L.; López, Óscar Pastor

    2015-01-01

    Conceptual models represent social and technical aspects of the world relevant to a variety of technical and non-technical stakehold- ers. To build these models, knowledge might have to be collected from domain experts who are rarely modelling experts and don’t usually have the time or desire to

  9. How do models give us knowledge? The case of Carnot’s ideal heat engine

    NARCIS (Netherlands)

    Knuuttila, Tarja; Boon, Mieke

    2011-01-01

    Our concern is to explain how and why models give us useful knowledge. We argue that if we are to understand how models function in the actual scientific practice the representational approach to models proves either misleading or too minimal—depending on how representation is defined. By ‘represent

  10. A Living-Systems Design Model for Web-based Knowledge Management Systems.

    Science.gov (United States)

    Plass, Jan L.; Salisbury, Mark W.

    2002-01-01

    Reviews currently available instructional systems design models and describes a new design model for Web-based knowledge management (KM) systems, based on a living-systems approach, and the mechanisms it contains for accommodating change and growth. Illustrates the application of the phases of the model in the development of a KM system with…

  11. Modeling the Creation of Actionable Knowledge within a Joint Task Force Command System (Project GNOSIS)

    Science.gov (United States)

    2006-08-01

    Social Network Modeling, Organizational Modeling, Effects-Based Operations, Knowledge Creation Modeling, Learning Organization 16. SECURITY...SYSTEM SJ SYSTEM INTERACTIONS AND INFLUENCES SOCIAL ORGANIZATIONAL SYSTEM SYSTEM I Multiple actors egaglng In comunities of Commrunitles of Interest...actors’ understanding of the JTF problem space. " The process of staff learning is not addressed in the present simulation mode. Here, staff learning is

  12. A rough-granular computing in discovery of process models from data and domain knowledge

    Institute of Scientific and Technical Information of China (English)

    NGUYEN Hung Son; SKOWRON Andrzej

    2008-01-01

    The rapid expansion of the Internet has resulted not only in the ever growing amount of data therein stored, but also in the burgeoning complexity of the concepts and phenomena pertaining to those data. This issue has been vividly com- pared by the renowned statistician, prof. Friedman of Stanford University, to the advances in human mobility from the pe- riod of walking afoot to the era of jet travel. These essential changes in data have brought new challenges to the develop- ment of new data mining methods, especially that the treatment of these data increasingly involves complex processes that e- lude classic modeling paradigms. "Hot" datasets like biomedical, financial or net user behavior data are just a few examples. Mining such temporal or stream data is on the agenda of many research centers and companies worldwide. In the data min- ing community, there is a rapidly growing interest in developing methods for process mining, e. g. , for discovery of struc- tures of temporal processes from data. Works on process mining have recently been undertaken by many renowned centers worldwide. This research is also related to functional data analysis , cognitive networks , and dynamical system modeling, e. g. , in biology. In the lecture, we outline an approach to discovery of processes from data and domain knowledge which is based on the rough-granular computing.

  13. CGRP in human models of primary headaches

    DEFF Research Database (Denmark)

    Ashina, Håkan; Schytz, Henrik Winther; Ashina, Messoud

    2017-01-01

    experiments are likely due to assay variation; therefore, proper validation and standardization of an assay is needed. To what extent CGRP is involved in tension-type headache and cluster headache is unknown. CONCLUSION: Human models of primary headaches have elucidated the role of CGRP in headache......OBJECTIVE: To review the role of CGRP in human models of primary headaches and to discuss methodological aspects and future directions. DISCUSSION: Provocation experiments demonstrated a heterogeneous CGRP migraine response in migraine patients. Conflicting CGRP plasma results in the provocation...... pathophysiology and sparked great interest in developing new treatment strategies using CGRP antagonists and antibodies. Future studies applying more refined human experimental models should identify biomarkers of CGRP-induced primary headache and reveal whether CGRP provocation experiments could be used...

  14. Modeling and Visualization of Human Activities for Multicamera Networks

    Directory of Open Access Journals (Sweden)

    Aswin C. Sankaranarayanan

    2009-01-01

    Full Text Available Multicamera networks are becoming complex involving larger sensing areas in order to capture activities and behavior that evolve over long spatial and temporal windows. This necessitates novel methods to process the information sensed by the network and visualize it for an end user. In this paper, we describe a system for modeling and on-demand visualization of activities of groups of humans. Using the prior knowledge of the 3D structure of the scene as well as camera calibration, the system localizes humans as they navigate the scene. Activities of interest are detected by matching models of these activities learnt a priori against the multiview observations. The trajectories and the activity index for each individual summarize the dynamic content of the scene. These are used to render the scene with virtual 3D human models that mimic the observed activities of real humans. In particular, the rendering framework is designed to handle large displays with a cluster of GPUs as well as reduce the cognitive dissonance by rendering realistic weather effects and illumination. We envision use of this system for immersive visualization as well as summarization of videos that capture group behavior.

  15. Animal and human models to understand ageing.

    Science.gov (United States)

    Lees, Hayley; Walters, Hannah; Cox, Lynne S

    2016-11-01

    Human ageing is the gradual decline in organ and tissue function with increasing chronological time, leading eventually to loss of function and death. To study the processes involved over research-relevant timescales requires the use of accessible model systems that share significant similarities with humans. In this review, we assess the usefulness of various models, including unicellular yeasts, invertebrate worms and flies, mice and primates including humans, and highlight the benefits and possible drawbacks of each model system in its ability to illuminate human ageing mechanisms. We describe the strong evolutionary conservation of molecular pathways that govern cell responses to extracellular and intracellular signals and which are strongly implicated in ageing. Such pathways centre around insulin-like growth factor signalling and integration of stress and nutritional signals through mTOR kinase. The process of cellular senescence is evaluated as a possible underlying cause for many of the frailties and diseases of human ageing. Also considered is ageing arising from systemic changes that cannot be modelled in lower organisms and instead require studies either in small mammals or in primates. We also touch briefly on novel therapeutic options arising from a better understanding of the biology of ageing. Copyright © 2016. Published by Elsevier Ireland Ltd.

  16. An approach to integrate the human vision psychology and perception knowledge into image enhancement

    Science.gov (United States)

    Wang, Hui; Huang, Xifeng; Ping, Jiang

    2009-07-01

    Image enhancement is very important image preprocessing technology especially when the image is captured in the poor imaging condition or dealing with the high bits image. The benefactor of image enhancement either may be a human observer or a computer vision process performing some kind of higher-level image analysis, such as target detection or scene understanding. One of the main objects of the image enhancement is getting a high dynamic range image and a high contrast degree image for human perception or interpretation. So, it is very necessary to integrate either empirical or statistical human vision psychology and perception knowledge into image enhancement. The human vision psychology and perception claims that humans' perception and response to the intensity fluctuation δu of visual signals are weighted by the background stimulus u, instead of being plainly uniform. There are three main laws: Weber's law, Weber- Fechner's law and Stevens's Law that describe this phenomenon in the psychology and psychophysics. This paper will integrate these three laws of the human vision psychology and perception into a very popular image enhancement algorithm named Adaptive Plateau Equalization (APE). The experiments were done on the high bits star image captured in night scene and the infrared-red image both the static image and the video stream. For the jitter problem in the video stream, this algorithm reduces this problem using the difference between the current frame's plateau value and the previous frame's plateau value to correct the current frame's plateau value. Considering the random noise impacts, the pixel value mapping process is not only depending on the current pixel but the pixels in the window surround the current pixel. The window size is usually 3×3. The process results of this improved algorithms is evaluated by the entropy analysis and visual perception analysis. The experiments' result showed the improved APE algorithms improved the quality of the

  17. Progressing the state of knowledge on the human influence on hydrological droughts through case studies

    Science.gov (United States)

    Rangecroft, Sally; Van Loon, Anne; Bosman, Marianne; Wanders, Niko; Di Baldassarre, Giuliano; AghaKouchak, Amir

    2017-04-01

    Human activities can have a large influence on changes in the hydrological system and hydrological extremes, more than climate variability and climate change in some cases. However, there are currently only a limited number of studies which aim to quantify the human impact on hydrological droughts. Here we present a synthesis study of existing and new results that aims to summarize and quantify the anthropogenic impact on hydrological drought from case studies and observations. By combining a large number of case studies, we allow conclusions to be drawn about the effects of different human activities. This work suggests ways forward to increase our understanding on how human activities are influencing drought characteristics; invaluable information for water resource management and adaptation. During this project, the impact of different human activities (e.g. water abstraction, reservoir building, urbanisation, etc) on drought frequency, duration and deficit has been calculated in a consistent manner, allowing for an improved understanding to how they have impacted droughts. This consistent methodology is a necessary element for this comparative hydrology exercise, yet we use one which is flexible and applicable to different case study set ups and data availability. The methodology used here depends on available observation data, with three possible approaches: i) paired catchment approach; ii) upstream-downstream comparison; iii) observation modelling framework. The synthesised results of the existing and new case studies cover a number of human activities, hydro-climatic and socio-economic contexts. In particular, we remove the climate dependency in the results by using case studies from multiple climatic regions, including UK, Italy, US, Australia, Mexico and Chile. For groundwater abstraction, it is clear across all the relevant case studies that abstraction activities worsen drought events. This is especially prominent in the deficit volumes, with nearly all

  18. Genome Modeling System: A Knowledge Management Platform for Genomics.

    Directory of Open Access Journals (Sweden)

    Malachi Griffith

    2015-07-01

    Full Text Available In this work, we present the Genome Modeling System (GMS, an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system. Rather than separating ad-hoc analysis from rigorous, reproducible pipelines, the GMS promotes systematic integration between the two. As a demonstration of the GMS, we performed an integrated analysis of whole genome, exome and transcriptome sequencing data from a breast cancer cell line (HCC1395 and matched lymphoblastoid line (HCC1395BL. These data are available for users to test the software, complete tutorials and develop novel GMS pipeline configurations. The GMS is available at https://github.com/genome/gms.

  19. Flood damage modeling based on expert knowledge: Insights from French damage model for agricultural sector

    Science.gov (United States)

    Grelot, Frédéric; Agenais, Anne-Laurence; Brémond, Pauline

    2015-04-01

    In France, since 2011, it is mandatory for local communities to conduct cost-benefit analysis (CBA) of their flood management projects, to make them eligible for financial support from the State. Meanwhile, as a support, the French Ministry in charge of Environment proposed a methodology to fulfill CBA. Like for many other countries, this methodology is based on the estimation of flood damage. However, existing models to estimate flood damage were judged not convenient for a national-wide use. As a consequence, the French Ministry in charge of Environment launched studies to develop damage models for different sectors, such as: residential sector, public infrastructures, agricultural sector, and commercial and industrial sector. In this presentation, we aim at presenting and discussing methodological choices of those damage models. They all share the same principle: no sufficient data from past events were available to build damage models on a statistical analysis, so modeling was based on expert knowledge. We will focus on the model built for agricultural activities and more precisely for agricultural lands. This model was based on feedback from 30 agricultural experts who experienced floods in their geographical areas. They were selected to have a representative experience of crops and flood conditions in France. The model is composed of: (i) damaging functions, which reveal physiological vulnerability of crops, (ii) action functions, which correspond to farmers' decision rules for carrying on crops after a flood, and (iii) economic agricultural data, which correspond to featured characteristics of crops in the geographical area where the flood management project studied takes place. The two first components are generic and the third one is specific to the area studied. It is, thus, possible to produce flood damage functions adapted to different agronomic and geographical contexts. In the end, the model was applied to obtain a pool of damage functions giving

  20. Knowing How to Know: Questioning "Knowledge Transfer" as a Model for Knowing and Learning in Health

    Science.gov (United States)

    Fowler, Cathrine; Lee, Alison

    2007-01-01

    Many healthy human experiences and practices have become medicalized and professionalized within health during the past century. In the example used in this article, the legitimation of formal, "evidence-based" scientific knowledge about parenting within nursing and midwifery can have the effect of replacing and discrediting embodied, informal and…

  1. Application of Knowledge Discovery in Databases Methodologies for Predictive Models for Pregnancy Adverse Events

    Science.gov (United States)

    Taft, Laritza M.

    2010-01-01

    In its report "To Err is Human", The Institute of Medicine recommended the implementation of internal and external voluntary and mandatory automatic reporting systems to increase detection of adverse events. Knowledge Discovery in Databases (KDD) allows the detection of patterns and trends that would be hidden or less detectable if analyzed by…

  2. Towards a New Generation of Agricultural System Data, Models and Knowledge Products: Design and Improvement

    Science.gov (United States)

    Antle, John M.; Basso, Bruno; Conant, Richard T.; Godfray, H. Charles J.; Jones, James W.; Herrero, Mario; Howitt, Richard E.; Keating, Brian A.; Munoz-Carpena, Rafael; Rosenzweig, Cynthia

    2016-01-01

    This paper presents ideas for a new generation of agricultural system models that could meet the needs of a growing community of end-users exemplified by a set of Use Cases. We envision new data, models and knowledge products that could accelerate the innovation process that is needed to achieve the goal of achieving sustainable local, regional and global food security. We identify desirable features for models, and describe some of the potential advances that we envisage for model components and their integration. We propose an implementation strategy that would link a "pre-competitive" space for model development to a "competitive space" for knowledge product development and through private-public partnerships for new data infrastructure. Specific model improvements would be based on further testing and evaluation of existing models, the development and testing of modular model components and integration, and linkages of model integration platforms to new data management and visualization tools.

  3. Towards a New Generation of Agricultural System Data, Models and Knowledge Products: Design and Improvement

    Science.gov (United States)

    Antle, John M.; Basso, Bruno; Conant, Richard T.; Godfray, H. Charles J.; Jones, James W.; Herrero, Mario; Howitt, Richard E.; Keating, Brian A.; Munoz-Carpena, Rafael; Rosenzweig, Cynthia

    2016-01-01

    This paper presents ideas for a new generation of agricultural system models that could meet the needs of a growing community of end-users exemplified by a set of Use Cases. We envision new data, models and knowledge products that could accelerate the innovation process that is needed to achieve the goal of achieving sustainable local, regional and global food security. We identify desirable features for models, and describe some of the potential advances that we envisage for model components and their integration. We propose an implementation strategy that would link a "pre-competitive" space for model development to a "competitive space" for knowledge product development and through private-public partnerships for new data infrastructure. Specific model improvements would be based on further testing and evaluation of existing models, the development and testing of modular model components and integration, and linkages of model integration platforms to new data management and visualization tools.

  4. Racial and Ethnic Group Knowledge, Perceptions and Behaviors about Human Papillomavirus, Human Papillomavirus Vaccination, and Cervical Cancer among Adolescent Females.

    Science.gov (United States)

    Bond, Sharon M; Cartmell, Kathleen B; Lopez, Cristina M; Ford, Marvella E; Brandt, Heather M; Gore, Elena I; Zapka, Jane G; Alberg, Anthony J

    2016-10-01

    Human papillomavirus (HPV) vaccines provide an opportunity to greatly reduce the burden of cervical cancer. Although there has been improvement in uptake, there are notable ethnic/racial disparities. This qualitative study was conducted to better understand factors related to vaccine uptake among female adolescents from 3 racial/ethnic groups: African American (AA), Hispanic, and Caucasian. Findings can inform the development of optimal messages and strategies for clinical and population-based interventions. This mixed-methods descriptive study included completion of a brief structured survey and focus group discussion. Six focus groups were conducted with female adolescents, 2 each in the AA, Hispanic, and Caucasian groups. Brief structured survey questions and the focus group protocol addressed knowledge, perceptions, and behaviors related to HPV, HPV vaccination, and cervical cancer. Participants were 60 female adolescents (ages 13-19, mean age = 16.6 years) recruited from high schools, public health clinics, and churches. Themes across questions were remarkably similar among AA, Hispanic, and Caucasian participants. Each group had high awareness of the terms HPV, HPV vaccination, and cervical cancer, but with little in-depth knowledge about these topics. There was a high acceptance of HPV vaccination. Misperceptions about optimal cervical cancer prevention strategies such as simply knowing one's partner and good hygiene were most common among Hispanic adolescents. Awareness about Pap testing was most common among Caucasian adolescents. Predominantly uniform perceptions of HPV vaccines across racial/ethnic groups suggest a "one size fits all" approach will likely have greater reach with cervical cancer prevention messaging than culturally tailored interventions. Copyright © 2016 North American Society for Pediatric and Adolescent Gynecology. Published by Elsevier Inc. All rights reserved.

  5. "The Human Condition" as social ontology: Hannah Arendt on society, action and knowledge.

    Science.gov (United States)

    Walsh, Philip

    2011-01-01

    Hannah Arendt is widely regarded as a political theorist who sought to rescue politics from "society," and political theory from the social sciences. This conventional view has had the effect of distracting attention from many of Arendt's most important insights concerning the constitution of "society" and the significance of the social sciences. In this article, I argue that Hannah Arendt's distinctions between labor, work, and action, as these are discussed in "The Human Condition" and elsewhere, are best understood as a set of claims about the fundamental structures of human societies. Understanding Arendt in this way introduces interesting parallels between Arendt's work and both classical and contemporary sociology. From this I draw a number of conclusions concerning Arendt's conception of "society," and extend these insights into two contemporary debates within contemporary theoretical sociology: the need for a differentiated ontology of the social world, and the changing role that novel forms of knowledge play in contemporary society as major sources of social change and order.

  6. Knowledge and attitudes of university students and their mothers regarding the Human Papilloma Virus

    Directory of Open Access Journals (Sweden)

    Evangelia Tsipra

    2015-04-01

    Full Text Available Introduction: Human Papilloma Virus (HPV is one of the most common causes of sexually transmitted diseases in both men and women worldwide. Aim: The investigation of the knowledge of university students and their mothers about the HPV, the ways of transmission, prevention and vaccination. Material and Method: The studied population consisted of 605 students from Technological Educational Institute of Athens and 50 mothers which filled two different questionnaires with closed-ended questions. Data was statistically processed with Microsoft Excel and SPSS ver.20. Results: Although, a large percentage (84.5% of the questioned students were sexually active, the majority of them (67.7% had never done the human papilloma virus vaccine and they didn’t intended to do it (87.9%. Although questioned mothers were aware that both girls and boys should be vaccinated against HPV infection (83.7%, only 71.4% of them had vaccinated their children, because of their fear of possible side effects (p0.05. Conclusion: Although students and mothers were aware of the HPV and its prevention, they were not familiar with the safety and the effectiveness of the vaccine, maybe because more students had been informed about the HPV from their family mostly than their gynecologist.

  7. Knowledge Co-production Strategies for Water Resources Modeling and Decision Making

    Science.gov (United States)

    Gober, P.

    2016-12-01

    The limited impact of scientific information on policy making and climate adaptation in North America has raised awareness of the need for new modeling strategies and knowledge transfer processes. This paper outlines the rationale for a new paradigm in water resources modeling and management, using examples from the USA and Canada. Principles include anticipatory modeling, complex system dynamics, decision making under uncertainty, visualization, capacity to represent and manipulate critical trade-offs, stakeholder engagement, local knowledge, context-specific activities, social learning, vulnerability analysis, iterative and collaborative modeling, and the concept of a boundary organization. In this framework, scientists and stakeholders are partners in the production and dissemination of knowledge for decision making, and local knowledge is fused with scientific observation and methodology. Discussion draws from experience in building long-term collaborative boundary organizations in Phoenix, Arizona in the USA and the Saskatchewan River Basin (SRB) in Canada. Examples of boundary spanning activities include the use of visualization, the concept of a decision theater, infrastructure to support social learning, social networks, and reciprocity, simulation modeling to explore "what if" scenarios of the future, surveys to elicit how water problems are framed by scientists and stakeholders, and humanistic activities (theatrical performances, art exhibitions, etc.) to draw attention to local water issues. The social processes surrounding model development and dissemination are at least as important as modeling assumptions, procedures, and results in determining whether scientific knowledge will be used effectively for water resources decision making.

  8. Workforce scheduling: A new model incorporating human factors

    Directory of Open Access Journals (Sweden)

    Mohammed Othman

    2012-12-01

    Full Text Available Purpose: The majority of a company’s improvement comes when the right workers with the right skills, behaviors and capacities are deployed appropriately throughout a company. This paper considers a workforce scheduling model including human aspects such as skills, training, workers’ personalities, workers’ breaks and workers’ fatigue and recovery levels. This model helps to minimize the hiring, firing, training and overtime costs, minimize the number of fired workers with high performance, minimize the break time and minimize the average worker’s fatigue level.Design/methodology/approach: To achieve this objective, a multi objective mixed integer programming model is developed to determine the amount of hiring, firing, training and overtime for each worker type.Findings: The results indicate that the worker differences should be considered in workforce scheduling to generate realistic plans with minimum costs. This paper also investigates the effects of human fatigue and recovery on the performance of the production systems.Research limitations/implications: In this research, there are some assumptions that might affect the accuracy of the model such as the assumption of certainty of the demand in each period, and the linearity function of Fatigue accumulation and recovery curves. These assumptions can be relaxed in future work.Originality/value: In this research, a new model for integrating workers’ differences with workforce scheduling is proposed. To the authors' knowledge, it is the first time to study the effects of different important human factors such as human personality, skills and fatigue and recovery in the workforce scheduling process. This research shows that considering both technical and human factors together can reduce the costs in manufacturing systems and ensure the safety of the workers.

  9. The Modeling and Simulation Catalog for Discovery, Knowledge and Reuse

    Science.gov (United States)

    Stone, George F. III; Greenberg, Brandi; Daehler-Wilking, Richard; Hunt, Steven

    2011-01-01

    The DoD M&S Steering Committee has noted that the current DoD and Service's modeling and simulation resource repository (MSRR) services are not up-to-date limiting their value to the using communities. However, M&S leaders and managers also determined that the Department needs a functional M&S registry card catalog to facilitate M&S tool and data visibility to support M&S activities across the DoD. The M&S Catalog will discover and access M&S metadata maintained at nodes distributed across DoD networks in a centrally managed, decentralized process that employs metadata collection and management. The intent is to link information stores, precluding redundant location updating. The M&S Catalog uses a standard metadata schemas based on the DoD's Net-Centric Data Strategy Community of Interest metadata specification. The Air Force, Navy and OSD (CAPE) have provided initial information to participating DoD nodes, but plans on the horizon are being made to bring in hundreds of source providers.

  10. A stochastic model of human gait dynamics

    Science.gov (United States)

    Ashkenazy, Yosef; M. Hausdorff, Jeffrey; Ch. Ivanov, Plamen; Eugene Stanley, H.

    2002-12-01

    We present a stochastic model of gait rhythm dynamics, based on transitions between different “neural centers”, that reproduces distinctive statistical properties of normal human walking. By tuning one model parameter, the transition (hopping) range, the model can describe alterations in gait dynamics from childhood to adulthood-including a decrease in the correlation and volatility exponents with maturation. The model also generates time series with multifractal spectra whose broadness depends only on this parameter. Moreover, we find that the volatility exponent increases monotonically as a function of the width of the multifractal spectrum, suggesting the possibility of a change in multifractality with maturation.

  11. Modelling large scale human activity in San Francisco

    Science.gov (United States)

    Gonzalez, Marta

    2010-03-01

    Diverse group of people with a wide variety of schedules, activities and travel needs compose our cities nowadays. This represents a big challenge for modeling travel behaviors in urban environments; those models are of crucial interest for a wide variety of applications such as traffic forecasting, spreading of viruses, or measuring human exposure to air pollutants. The traditional means to obtain knowledge about travel behavior is limited to surveys on travel journeys. The obtained information is based in questionnaires that are usually costly to implement and with intrinsic limitations to cover large number of individuals and some problems of reliability. Using mobile phone data, we explore the basic characteristics of a model of human travel: The distribution of agents is proportional to the population density of a given region, and each agent has a characteristic trajectory size contain information on frequency of visits to different locations. Additionally we use a complementary data set given by smart subway fare cards offering us information about the exact time of each passenger getting in or getting out of the subway station and the coordinates of it. This allows us to uncover the temporal aspects of the mobility. Since we have the actual time and place of individual's origin and destination we can understand the temporal patterns in each visited location with further details. Integrating two described data set we provide a dynamical model of human travels that incorporates different aspects observed empirically.

  12. Patient-Specific Computational Modeling of Human Phonation

    Science.gov (United States)

    Xue, Qian; Zheng, Xudong; University of Maine Team

    2013-11-01

    Phonation is a common biological process resulted from the complex nonlinear coupling between glottal aerodynamics and vocal fold vibrations. In the past, the simplified symmetric straight geometric models were commonly employed for experimental and computational studies. The shape of larynx lumen and vocal folds are highly three-dimensional indeed and the complex realistic geometry produces profound impacts on both glottal flow and vocal fold vibrations. To elucidate the effect of geometric complexity on voice production and improve the fundamental understanding of human phonation, a full flow-structure interaction simulation is carried out on a patient-specific larynx model. To the best of our knowledge, this is the first patient-specific flow-structure interaction study of human phonation. The simulation results are well compared to the established human data. The effects of realistic geometry on glottal flow and vocal fold dynamics are investigated. It is found that both glottal flow and vocal fold dynamics present a high level of difference from the previous simplified model. This study also paved the important step toward the development of computer model for voice disease diagnosis and surgical planning. The project described was supported by Grant Number ROlDC007125 from the National Institute on Deafness and Other Communication Disorders (NIDCD).

  13. Analisis Model Pengukuran Human Capital dalam Organisasi

    Directory of Open Access Journals (Sweden)

    Cecep Hidayat

    2013-11-01

    Full Text Available Measurement of human capital is not an easy to do because it is dynamic and always changing in accordance with the changing circumstances. Determination of dimensions and indicators of measurement needs to consider various factors such as situations and also the research scopes. This article has objectives to review the concepts, dimensions and measurement models of human capital. The research method used was literature study with a major reference source from current journal articles that discuss the measurement of human capital. Results of the study showed that basically the definition set forth in any dimension containing either explicitly or implicitly. In addition, the result indicated that there are three main categories of equality among researchers regarding the definition of human capital which emphasizes on: economic value/productivity, education, and abilities/competencies. The results also showed that the use of definitions, dimensions, and indicators for measurement of human capital depends on the situation, the scope of research, and the size of the organization. The conclusion of the study indicated that the measurement model and determination of dimensions and indicators of human capital measurement will determine the effectiveness of the measurement, and will have an impact on organizational performance.

  14. Quantifying knowledge exchange in R&D networks: a data-driven model

    CERN Document Server

    Tomasello, Mario Vincenzo; Schweitzer, Frank

    2015-01-01

    We develop an agent-based model to reproduce the process of link formation and to understand the effect of knowledge exchange in collaborative inter-firm networks of Research and Development (R&D) alliances. In our model, agents form links based on their previous alliance history and then exchange knowledge with their partners, thus approaching in a knowledge space. We validate our model against real data using a two-step approach. Through an inter-firm alliance dataset, we estimate the model parameters related to the alliance formation, at the same time reproducing the topology of the resulting collaboration network. Subsequently, using a dataset on firm patents, we estimate the parameters related to the process of knowledge exchange. The underlying knowledge space that we consider in our study is defined by real patent classes, allowing for a precise quantification of every firm's knowledge position. We find that real R&D alliances have a duration of around two years, and that the subsequent knowled...

  15. Bayesian Modeling of a Human MMORPG Player

    CERN Document Server

    Synnaeve, Gabriel

    2010-01-01

    This paper describes an application of Bayesian programming to the control of an autonomous avatar in a multiplayer role-playing game (the example is based on World of Warcraft). We model a particular task, which consists of choosing what to do and to select which target in a situation where allies and foes are present. We explain the model in Bayesian programming and show how we could learn the conditional probabilities from data gathered during human-played sessions.

  16. Bayesian Modeling of a Human MMORPG Player

    Science.gov (United States)

    Synnaeve, Gabriel; Bessière, Pierre

    2011-03-01

    This paper describes an application of Bayesian programming to the control of an autonomous avatar in a multiplayer role-playing game (the example is based on World of Warcraft). We model a particular task, which consists of choosing what to do and to select which target in a situation where allies and foes are present. We explain the model in Bayesian programming and show how we could learn the conditional probabilities from data gathered during human-played sessions.

  17. Human ex vivo wound healing model.

    Science.gov (United States)

    Stojadinovic, Olivera; Tomic-Canic, Marjana

    2013-01-01

    Wound healing is a spatially and temporally regulated process that progresses through sequential, yet overlapping phases and aims to restore barrier breach. To study this complex process scientists use various in vivo and in vitro models. Here we provide step-by-step instructions on how to perform and employ an ex vivo wound healing model to assess epithelization during wound healing in human skin.

  18. Modelling dengue epidemic spreading with human mobility

    Science.gov (United States)

    Barmak, D. H.; Dorso, C. O.; Otero, M.

    2016-04-01

    We explored the effect of human mobility on the spatio-temporal dynamics of Dengue with a stochastic model that takes into account the epidemiological dynamics of the infected mosquitoes and humans, with different mobility patterns of the human population. We observed that human mobility strongly affects the spread of infection by increasing the final size and by changing the morphology of the epidemic outbreaks. When the spreading of the disease is driven only by mosquito dispersal (flight), a main central focus expands diffusively. On the contrary, when human mobility is taken into account, multiple foci appear throughout the evolution of the outbreaks. These secondary foci generated throughout the outbreaks could be of little importance according to their mass or size compared with the largest main focus. However, the coalescence of these foci with the main one generates an effect, through which the latter develops a size greater than the one obtained in the case driven only by mosquito dispersal. This increase in growth rate due to human mobility and the coalescence of the foci are particularly relevant in temperate cities such as the city of Buenos Aires, since they give more possibilities to the outbreak to grow before the arrival of the low-temperature season. The findings of this work indicate that human mobility could be the main driving force in the dynamics of vector epidemics.

  19. AN EFFECTIVE HUMAN LEG MODELING METHOD

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Digital medicine is a new concept in medical field, and the need for digital human body is increasing these years. This paper used Free Form Deformation (FFD) to model the motion of human leg. It presented the motion equations of knee joint on the basis of anatomic structure and motion characters, then transmitted the deformation to the mesh of leg through a simplified FFD that only used two-order B-spline basis function. The experiments prove that this method can simulate the bend of leg and the deformation of muscles fairly well. Compared with the method of curved patches, this method is more convenient and effective. Further more, those equations can be easily applied to other joint models of human body.

  20. An Outline Course on Human Performance Modeling

    Science.gov (United States)

    2006-01-01

    complementary or competing tasks: Dario SaIvucci, ??? 46. Bonnie Johns, David Kieras 47. ecological interface design 48. More into modeling human... alarcon 70. Ben Knott 71. Evelyn Rozanski 7.Pete Khooshabeh Optional: If ou would like to be on a mailin list for further seminars lease enter our email