Foss, Nicolai Juul; Husted, Kenneth; Michailova, Snejina
An under-researched issue in work within the `knowledge movement' is therelation between organizational issues and knowledge processes (i.e., sharingand creating knowledge). We argue that managers can shape formalorganization structure and organization forms and can influence the moreinformal org...... to Anna Grandori for numerous excellent comments on anearlier draft. The standard disclaimer applies.Keywords: Knowledge creation, knowledge sharing, governance, organizationaleconomics, organizational behavior.......An under-researched issue in work within the `knowledge movement' is therelation between organizational issues and knowledge processes (i.e., sharingand creating knowledge). We argue that managers can shape formalorganization structure and organization forms and can influence the moreinformal...... organizational practices in order to foster knowledge sharing andcreation. Theoretically, we unfold this argument by relying on key ideas oforganizational economics and organizational behaviour studies. We put forwarda number of refutable propositions derived from this reasoning.AcknowledgmentsWe are grateful...
Christopher Y Park
Full Text Available A key challenge in genetics is identifying the functional roles of genes in pathways. Numerous functional genomics techniques (e.g. machine learning that predict protein function have been developed to address this question. These methods generally build from existing annotations of genes to pathways and thus are often unable to identify additional genes participating in processes that are not already well studied. Many of these processes are well studied in some organism, but not necessarily in an investigator's organism of interest. Sequence-based search methods (e.g. BLAST have been used to transfer such annotation information between organisms. We demonstrate that functional genomics can complement traditional sequence similarity to improve the transfer of gene annotations between organisms. Our method transfers annotations only when functionally appropriate as determined by genomic data and can be used with any prediction algorithm to combine transferred gene function knowledge with organism-specific high-throughput data to enable accurate function prediction. We show that diverse state-of-art machine learning algorithms leveraging functional knowledge transfer (FKT dramatically improve their accuracy in predicting gene-pathway membership, particularly for processes with little experimental knowledge in an organism. We also show that our method compares favorably to annotation transfer by sequence similarity. Next, we deploy FKT with state-of-the-art SVM classifier to predict novel genes to 11,000 biological processes across six diverse organisms and expand the coverage of accurate function predictions to processes that are often ignored because of a dearth of annotated genes in an organism. Finally, we perform in vivo experimental investigation in Danio rerio and confirm the regulatory role of our top predicted novel gene, wnt5b, in leftward cell migration during heart development. FKT is immediately applicable to many bioinformatics
Trevors, Gregory J.; Kendeou, Panayiota; Butterfuss, Reese
In recent years, a number of insights have been gained into the cognitive processes that explain how individuals overcome misconceptions and revise their previously acquired incorrect knowledge. The current study complements this line of research by investigating the moment-by-moment emotion processes that occur during knowledge revision using a…
Hall-Andersen, Lene Bjerg; Broberg, Ole
Purpose - The purpose of this paper is to shed light on the problematics of learning across knowledge boundaries in organizational settings. The paper specifically explores learning processes that emerge, when a new knowledge domain is introduced into an existing organizational practice with the ...
Edwards, Kasper; Jensen, Klaes Ladeby; Haug, Anders
When implementing configuration systems, knowledge about products and processes are documented and replicated in the configuration system. This practice assumes that products are specified consistently i.e. on the same rule base and likewise for processes. However, consistency cannot be taken...... for granted; rather the contrary, and attempting to implement a configuration system may easily ignite a political battle. This is because stakes are high in the sense that the rules and processes chosen may only reflect one part of the practice, ignoring a majority of the employees. To avoid this situation......, this paper presents a methodology for measuring product and process consistency prior to implementing a configuration system. The methodology consists of two parts: 1) measuring knowledge consistency and 2) measuring process consistency. Knowledge consistency is measured by developing a questionnaire...
Jensen, Anna Rose Vagn; Ahmed-Kristensen, Saeema
Managing knowledge reflects the innovation capability of a company. Mapping decision processes and links to knowledge is a way to learn more in structuring knowledge in innovation processes. Through an empirical study the paper aims to identify knowledge...
Hunt, R. Reed; Rawson, Katherine A.
The effect of knowledge on memory generally is processing. However, both conceptual and empirical reasons exist to suspect that the organizational account is incomplete. Recently a revised version of that account has been proposed under the rubric of distinctiveness theory (Rawson & Van Overschelde, 2008). The goal of the experiments reported…
Full Text Available Any organization relies on processes/procedures in order to organize the operations. Those processes can be explicit (e.g. textual descriptions of workflow steps or graphical descriptions or implicit (e.g. employees have learned by experience the steps needed to ‘get things done’. A widely acknowledged fact is that processes change due to internal and/or external factors. How can managers make sure the employees know the last version of the process? The current practice is to test employees by multiple-choice questions. This paper proposes a novel knowledge-testing approach based on graphical and interactive questions. To validate our approach, we set up a single-factor controlled experiment with novices and experts in a faculty admission process. The results show that our approach has better results in terms of correct answers.
Full Text Available The process of modern design under the distributed resource environment is interpreted as the process of knowledge flow and integration. As the acquisition of new knowledge strongly depends on resources, knowledge flow can be influenced by technical, economic, and social relation factors, and so forth. In order to achieve greater efficiency of knowledge flow and make the product more competitive, the root causes of the above factors should be acquired first. In this paper, the authors attempt to reveal the nature of design knowledge flow from the perspectives of fluid dynamics and energy. The knowledge field effect and knowledge agglomeration effect are analyzed, respectively, in which the knowledge field effect model considering single task node and the single knowledge energy model in the knowledge flow are established, then the general expression of knowledge energy conservation with consideration of the kinetic energy and potential energy of knowledge is built. Then, the knowledge flow rules and their influential factors including complete transfer and incomplete transfer of design knowledge are studied. Finally, the coupling knowledge flows in the knowledge service platform for modern design are analyzed to certify the feasibility of the research work.
Roselaine Machado Albernaz
Full Text Available This essay approaches the Mathematics teacher forming process from his/her experiences in the school system and the set of knowledge that hashistorical, philosophical and politically constituted him/her. This set of knowledge not only comprises academic knowledge, but also involves the subjective effects of knowledge it incorporates. Starting from a tale, the character, called ‘researcher-teacher’, conducts the text throughout questions about the forming processes of teachers of such a particular subject as Mathematics. The character seems to have an “interrogative something” which is peculiar to us, teachers, concerned about our disciplinary field. Having the objective of problematize the formation and knowledge of our character, her ways of being, thinking and perceiving, we intend to question, with and through her, the new requirements that have been demanded towards Mathematics teachers and the set of knowledge that constitute her, the way she is, her way of acting and taking position in the school universe. The proposed essay seeks for an articulation between the fields of Art, Philosophy, Science and Education. It speaks about the intriguing school world, but not least, the ways we think to treat the forming process of Mathematics teachers from a set of logical, subjective and sensitive knowledge. Key words: Forming process of teachers; mathematics; aesthetic experience; philosophy of difference.
Knowledge management: processes and systems. ... Information Impact: Journal of Information and Knowledge Management ... observation, role reversal technique, and discussion forums as well as the forms of knowledge representation to include report writing, database management system and institutional repositories.
Full Text Available This paper investigates how organizational trust contributes to knowledge transfer processes and knowledge creation both directly and indirectly. The mediation analyses were used. The findings using cross-sectional data from Polish companies suggest a new way of thinking in respect of how crucial is trust to creation of knowledge unconnected to organizational memory.
Full Text Available Knowledge is an important resource for successful decision-making process in the whole society today. The special procedures of control and management of knowledge therefore have to be used. In the area of knowledge management and knowledge engineering basic terms of these disciplines are data, information, knowledge and knowledge transformation. The knowledge can be defined as a dynamic human process of justifying personal beliefs. Knowledge is a product of successful decision-making process. Knowledge transformation is a spiralling process of interactions between explicit and tacit knowledge that leads to the new knowledge. Nonaka and all show, that the combination of these two categories makes possible to conceptualise four conversion steps: Socialisation, Externalisation, Combination and Internalisation (SECI model. Another model of knowledge creation is the Knowledge Transformation Continuum (BCI Knowledge Group that begins with the articulation of a specific instruction representing the best way that a specific task, or series of tasks, should be performed. Knowledge modelling and knowledge representation is an important field of research also in Computer Science and Artificial Intelligence. The definition of knowledge in Artificial Intelligence is a noticeable different, because Artificial Intelligence is typically dealing with formalized knowledge (e.g. ontology. The development of knowledge-based systems was seen as a process of transferring human knowledge to an implemented knowledge base. Decision Support Systems (DSS, Geographical Information Systems (GIS and Operations Research/Management Science (OR/MS modelling process support decision-making process, therefore they also produce a new knowledge. A Decision Support Systems are an interactive computer-based systems helping decision makers complete decision process. Geographic Information Systems provide essential marketing and customer intelligence solutions that lead to better
Sebastian Ion CEPTUREANU
Full Text Available In the new economy, knowledge is an essential component of economic and social systems. The organizational focus has to be on building knowledge-based management, development of human resource and building intellectual capital capabilities. Knowledge-based management is defined, at company level, by economic processes that emphasize creation, selling, buying, learning, storing, developing, sharing and protection of knowledge as a decisive condition for profit and long-term sustainability of the company. Hence, knowledge is, concurently, according to a majoritiy of specialists, raw material, capital, product and an essential input. Knowledge-based communities are one of the main constituent elements of a framework for knowledge based management. These are peer networks consisting of practitioners within an organization, supporting each other to perform better through the exchange and sharing of knowledge. Some large companies have contributed or supported the establishment of numerous communities of practice, some of which may have several thousand members. They operate in different ways, are of different sizes, have different areas of interest and addresses knowledge at different levels of its maturity. This article examines the role of knowledge-based communities from the perspective of knowledge based management, given that the arrangements for organizational learning, creating, sharing, use of knowledge within organizations become more heterogeneous and take forms more difficult to predict by managers and specialists.
Thomsen, A.F.; Nieboer, N.E.T.; Van der Flier, C.L.
Obsolescence, defined as the process of declining performance of buildings, is a serious threat for the value, the usefulness and the life span of housing properties. Thomsen and van der Flier (2011) developed a model in which obsolescence is categorised on the basis of two distinctions, namely
Aalst, van der W.M.P.
Recently, the Task Force on Process Mining released the Process Mining Manifesto. The manifesto is supported by 53 organizations and 77 process mining experts contributed to it. The active contributions from end-users, tool vendors, consultants, analysts, and researchers illustrate the growing
Song, X.M.; Zang, F.; Bij, van der J.D.; Weggeman, M.C.D.P.
Despite the obvious linkage between information technologies (IT) and knowledge processes and the apparent strategic importance of both, little research has done to explicitly examine how, if at all, IT and knowledge processes affect firm outcomes. The purpose of this study is to bridge this
Francisco José GARCÍA-PEÑALVO
Full Text Available The editorial of this second issue of volume 17,corresponding to 2016, is devoted to socialization process in the knowledge management in order to complement the special section about Social Networks and Education.
The concept of organisational knowledge as a valuable strategic asset has become quite popular recently. Increased competition, globalisation and the emergence of new organisational models built on process-based organisational structures require organisations to create, capture, share and apply
In principle, natural language and knowledge representation are closely related. This paper investigates this by demonstrating how several natural language phenomena, such as definite reference, ambiguity, ellipsis, ill-formed input, figures of speech, and vagueness, require diverse knowledge sources and reasoning. The breadth of kinds of knowledge needed to represent morphology, syntax, semantics, and pragmatics is surveyed. Furthermore, several current issues in knowledge representation, such as logic versus semantic nets, general-purpose versus special-purpose reasoners, adequacy of first-order logic, wait-and-see strategies, and default reasoning, are illustrated in terms of their relation to natural language processing and how natural language impact the issues.
Niederman, Fred; March, Salvatore T.; Mueller, Benjamin
Process theory has become an important mechanism for the accumulation of knowledge in a number of disciplines. In contrast with variance theory, which focuses on co-variation of dependent and independent variables, process theory focuses on sequences of activities, their duration and the intervals
D'Argembeau, Arnaud; Ortoleva, Claudia; Jumentier, Sabrina; Van der Linden, Martial
This study sought to investigate the component processes underlying the ability to imagine future events, using an individual-differences approach. Participants completed several tasks assessing different aspects of future thinking (i.e., fluency, specificity, amount of episodic details, phenomenology) and were also assessed with tasks and questionnaires measuring various component processes that have been hypothesized to support future thinking (i.e., executive processes, visual-spatial processing, relational memory processing, self-consciousness, and time perspective). The main results showed that executive processes were correlated with various measures of future thinking, whereas visual-spatial processing abilities and time perspective were specifically related to the number of sensory descriptions reported when specific future events were imagined. Furthermore, individual differences in self-consciousness predicted the subjective feeling of experiencing the imagined future events. These results suggest that future thinking involves a collection of processes that are related to different facets of future-event representation.
Vega Jurado, Jaider; Gutiérrez Gracia, Antonio; Fernández de Lucio, Ignacio
The recognition of external agents as an important knowledge source to innovation processes means that the firms must face a key decision: generate in-house or acquire externally the required technological knowledge. Owing to its implications, this decision has become a very important topic between academics and practitioners of innovation, promoting the development of a body of theoretical and empirical literature about the factors and motivations which influence it. This paper provides a re...
Gao, Huihui; Gajjar, Shriram; Kulahci, Murat
As the goals of ensuring process safety and energy efficiency become ever more challenging, engineers increasingly rely on data collected from such processes for informed decision making. During recent decades, extracting and interpreting valuable process information from large historical data sets...... SPCA approach that helps uncover the underlying process knowledge regarding variable relations. This approach systematically determines the optimal sparse loadings for each sparse PC while improving interpretability and minimizing information loss. The salient features of the proposed approach...
Full Text Available Under the development of favourable globalization conditions, the demand for and importance of knowledge in the insurance sector are rapidly growing, which is characterized by the variety of insurance services and offered products as well as by a permanent change in efforts to efficiently meet the needs of society. Therefore, knowledge is becoming a unique factor that leads to the increased exclusivity of the organization in this particular sector when the recently acquired knowledge helps the employees of the company with efficiently performing work activities and creating for consumer advantages that can be hardly imitated by other insurance organizations. However, the process of knowledge acquisition will be worthless without efficient instruments for assessing the procedures leading to obtaining the necessary knowledge on demand and time. Every insurance organization in Lithuania tries to acquire the necessary knowledge on time in the most convenient way; however, researchers and business representatives feel a lack of tools for assessing and improving the knowledge acquisition process. According to scientific literature, a lack of complexity evaluating the knowledge acquisition process creates a precondition for developing instruments for the assessment of this process. The object of research is the evaluation of the knowledge acquisition process in the organizations of Lithuanian insurance sector. The goal of the article is to offer an integrated instrument of the knowledge acquisition process for the organization working in Lithuanian insurance sector. To achieve this goal, the following tasks have been implemented: the analysis of the theoretical aspects of the factors and methods of the knowledge acquisition process; the establishment of the factors specific to organizations in Lithuanian insurance sector for the purposes of assessing the knowledge acquisition process; the identification of the problematic areas of the knowledge
Hall-Andersen, Lene Bjerg
Integrating ergonomic knowledge into engineering design processes has been shown to contribute to healthy and effective designs of workplaces. However, it is also well-recognized that, in practice, ergonomists often have difficulties gaining access to and impacting engineering design processes...... employed in the same company, constituted a supporting factor for the possibilities to integrate ergonomic knowledge into the engineering design processes. However, the integration activities remained discrete and only happened in some of the design projects. A major barrier was related to the business...... to the ergonomic ambitions of the clients. The ergonomists’ ability to navigate, act strategically, and compromise on ergonomic inputs is also important in relation to having an impact in the engineering design processes. Familiarity with the engineering design terminology and the setup of design projects seems...
The Fifth Generation Computer Project in Japan intends to develop a new generation of computers by extensive research in many areas. This paper discusses many research topics which the Japanese are hoping will lead to a radical new knowledge information processing system. Topics discussed include new computer architecture, programming styles, semantics of programming languages, relational databases, linguistics theory, artificial intelligence, functional images and interference systems.
Larsen, Michael Holm
Implementation of Information Technology infer substantial changes to an organisation, e.g. changes in jobs, roles of the company's employees, and the knowledge content of these jobs.This paper point out some of the knowledge management issues and challenges in the case of an implementation of an...... performed by humans. Their decisions are based on the integration of three different kinds of knowledge, i.e. uncodifiable or tacit knowledge, codifiable data from acquisition systems, and codifiable best practice from knowledge repositories....
Kim, W C; Mauborgne, R
Unlike the traditional factors of production--land, labor, and capital--knowledge is a resource that can't be forced out of people. But creating and sharing knowledge is essential to fostering innovation, the key challenge of the knowledge-based economy. To create a climate in which employees volunteer their creativity and expertise, managers need to look beyond the traditional tools at their disposal. They need to build trust. The authors have studied the links between trust, idea sharing, and corporate performance for more than a decade. They have explored the question of why managers of local subsidiaries so often fail to share information with executives at headquarters. They have studied the dynamics of idea sharing in product development teams, joint ventures, supplier partnerships, and corporate transformations. They offer an explanation for why people resist change even when it would benefit them directly. In every case, the decisive factor was what the authors call fair process--fairness in the way a company makes and executes decisions. The elements of fair process are simple: Engage people's input in decisions that directly affect them. Explain why decisions are made the way they are. Make clear what will be expected of employees after the changes are made. Fair process may sound like a soft issue, but it is crucial to building trust and unlocking ideas. Without it, people are apt to withhold their full cooperation and their creativity. The results are costly: ideas that never see daylight and initiatives that are never seized.
Zhang, Lingling; Li, Jun; Zheng, Xiuyu; Li, Xingsen; Shi, Yong
Now knowledge has become the most important resource of enterprises. Process-oriented knowledge management (POKM) is a new and valuable research field. It may be the most practical method to deal with difficulties in knowledge management. The paper analyzes background, hypothesis and proposes of POKM, define the process knowledge, and give a process-oriented knowledge management model. The model integrates knowledge, process, human, and technology. It can improve the decision support capabili...
ThanhDat, N.; Claudiu, K. V.; Zobia, R.; Lobont, Lucian
Knowledge plays a crucial role in success of DMAIC (Define, Measure, Analysis, Improve, and Control) execution. It is therefore necessary to share and renew the knowledge. Yet, one problem arising is how to create a place where knowledge are collected and shared effectively. We believe that Knowledge Portal (KP) is an important solution for the problem. In this article, the works concerning with requirements and functionalities for KP are first reviewed. Afterwards, a procedure with necessary tools to develop and implement a KP for DMAIC (KPD) is proposed. Particularly, KPD is built on the basis of free and open-source content and learning management systems, and Ontology Engineering. In order to structure and store knowledge, tools such as Protégé, OWL, as well as OWL-RDF Parsers are used. A Knowledge Reasoner module is developed in PHP language, ARC2, MySQL and SPARQL endpoint for the purpose of querying and inferring knowledge available from Ontologies. In order to validate the availability of the procedure, a KPD is built with the proposed functionalities and tools. The authors find that the KPD benefits an organization in constructing Web sites by itself with simple steps of implementation and low initial costs. It creates a space of knowledge exchange and supports effectively collecting DMAIC reports as well as sharing knowledge created. The authors’ evaluation result shows that DMAIC knowledge is found exactly with a high success rate and a good level of response time of queries.
Claver-Cortés, Enrique; Zaragoza Sáez, Patrocinio del Carmen; Pertusa-Ortega, Eva
Purpose – The idea that knowledge management can be a potential source of competitive advantage has gained strength in the last few years. However, a number of business actions are needed to generate an appropriate environment and infrastructure for knowledge creation, transfer and application. Among these actions there stands out the design of an organizational structure, the link of which with knowledge management is the main concern here. More specifically, the present paper has as its aim...
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.
Ergul, N. Remziye
Abstraction is one of the methods for learning knowledge with using mental processes that cannot be obtained through experiment and observation. RBC model that is based on abstraction in the process of creating knowledge is directly related to mental processes. In this study, the RBC model is used for the high school students' processes of…
Guizzardi, R.S.S.; Perini, A.; Dignum, V.
In the struggle to survive and compete in face of constant technological changes and unstable business environments, organizations recognize knowledge as its most valuable asset. Consequently, these organizations often invest on Knowledge Management (KM), seeking to enhance their internal processes
XU, Yang; BERNARD, Alain; PERRY, Nicolas; LAROCHE, Florent
Nowadays, design activities remain the core issue for global product development. As knowledge is more and more integrated, effective analysis of knowledge value becomes very useful for the improvement of product design processes. This paper aims at proposing a framework of knowledge value analysis in the context of product design process. By theoretical analysis and case study, the paper illustrates how knowledge value can be calculated and how the results can help the improvement of product...
Full Text Available One of the main roles of Information Technology in Knowledge Management programs is to accelerate the speed of knowledge transfer and creation. The Knowledge Management tools intend to help the processes of collecting and organizing the knowledge of groups of individuals in order to make this knowledge available in a shared base. Due to the largeness of the concept of knowledge, the software market for Knowledge Management seems to be quite confusing. Technology vendors are developing different implementations of the Knowledge Management concepts in their software products. Because of the variety and quantity of Knowledge Management tools available on the market, a typology may be a valuable aid to organizations that are looking for answers to specific needs. The objective of this article is to present guidelines that help to design such a typology. Knowledge Management solutions such as intranet systems, Electronic Document Management (EDM, groupware, workflow, artificial intelligence-based systems, Business Intelligence (BI, knowledge map systems, innovation support, competitive intelligence tools and knowledge portals are discussed in terms of their potential contributions to the processes of creating, registering and sharing knowledge. A number of Knowledge Management tools (Lotus Notes, Microsoft Exchange, Business Objects, Aris Toolset, File Net, Gingo, Vigipro, Sopheon have been checked. The potential of each category of solutions to support the transfer of tacit and/or explicit knowledge and to facilitate the knowledge conversion spiral in the sense of Nonaka and Takeuchi (1995 is discussed.
Yoon, Seung Won; Song, Ji Hoon; Lim, Doo Hun
This integrative literature review synthesizes the concepts and process of organizational knowledge creation with theories of individual learning. The knowledge conversion concept (Nonaka & Takeuchi, 1995; Nonaka, Toyama, & Byosiere, 2001) is used as the basis of the organizational knowledge creation process, while major learning theories relevant…
Klimešová, Dana; Brožová, H.
Roč. 2, č. 1 (2009), s. 1-15 ISSN 1803-1617 Institutional research plan: CEZ:AV0Z10750506 Keywords : Tacit and explicit knowledge * SECI model * Operations Research * Management Science Models Subject RIV: BD - Theory of Information
Further research is also needed on the reasons why low cognitive demands are made in the teaching of Technology. .... the NCS (Department of Basic Education, 2011), and the topics ..... In the quantitative phase each lesson objective was classified according .... involves the retrieving (listing) of knowledge from memory (at.
Information Impact: Journal of Information and Knowledge Management. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 8, No 3 (2017) >. Log in or Register to get access to full text downloads.
Janssen, Stephanie; Tatenhove, van J.P.M.; Mol, A.P.J.; Otter, H.S.
Greening flood protection (GFP) is increasingly recognized as an adaptive and flexible approach to water management that is well suited to addressing uncertain futures associated with climate change. In the last decade, GFP knowledge and policies have developed rapidly, but implementation has been
Mohsen Shafiei Nikabadi
The innovation aspect of the research is to provide a comprehensive framework for knowledge management processes in supply chain of automotive industry with main indicators for each process. Several investigations have been made for knowledge management but specific research on knowledge management processes in the supply chain has not been observed. Thus providing the framework and indicators for each component of the framework is the innovation of the research
.... Initiated in 2004 at Defense Research and Development Canada (DRDC), the SACOT knowledge engineering research project is currently investigating, developing and validating innovative natural language processing (NLP...
Full Text Available The method of acquisition and presentation of the organizational Process Knowledge has considered by many KM researches. In this research a model for process knowledge acquisition and presentation has been presented by using the approach of Case Base Reasoning. The validation of the presented model was evaluated by conducting an expert panel. Then a software has been developed based on the presented model and implemented in Eghtesad Novin Bank of Iran. In this company, based on the stages of the presented model, first the knowledge intensive processes has been identified, then the Process Knowledge was stored in a knowledge base in the format of problem/solution/consequent .The retrieval of the knowledge was done based on the similarity of the nearest neighbor algorithm. For validating of the implemented system, results of the system has compared by the results of the decision making of the expert of the process.
Lauring, Jakob; Selmer, Jan
The ability to locate, share, and use knowledge is vital for effective functioning of organizations. However, such knowledge processing can be complicated by increasing cultural diversity. Recent studies have suggested that a group’s diversity attitudes may increase group outcomes. In this study...... diversity only had a positive effect on personal knowledge....
Cegarra-Navarro, Juan Gabriel; Martinez Martinez, Aurora
The major focus of this research is to investigate whether environmental knowledge has any impact on organizational outcomes through an empirical investigation of 127 Spanish hospitality companies, using structural equation models. Our results show that environmental knowledge is an important determiner for developing organizational outcomes. However, this relationship is completed with just two related constructs: Firstly, the company's acquisition process plays a key role in managing the tension between the knowledge necessary to develop the appropriated environmental initiatives and current knowledge. Secondly, the company's distribution process also sheds light on tangible means for managers to enhance their company's outcomes through environmental knowledge.
A conceptual framework for operator competency and job training planning and design being developed and used for operators in Swedish nuclear power stations is presented briefly. This conceptual framework represents a training technological approach. It uses terms which are system oriented and familiar to people working in the plant. Another conceptual framework is focusing on the information processing of the operator and its relation to physical, functional and abstract representations of the plant and the process. This conceptual framework has been developed by Risoe in Denmark especially for man process-interaction analysis and design. There are interesting relations between the two structures, e.g. human information processing in plant operation is largely a function of operator learning of the work, the processes and the plants units, its subsystems and components. The two framework are analysed and relations between them are indicated. (author)
Full Text Available The main objective of this paper is to identify the system of knowledge management in contemporary process organizations in business process perspective, especially with regard to technological and social conditions. Methodology is based on literature analysis and case studies. The integration of knowledge management technologies, concepts and methods into organizational business processes is challenging research issue today. The concepts of knowledge management and business process management should be analyzed jointly in the contemporary enterprises. Despite of the growing interest among researchers and practitioners of the concept of the knowledge management referring to business process management there is a lack of articles in this area. Appropriate approach to the modelling of knowledge management processes, as well as the use of IT tools, and a motivation system are of key importance for the introduction of this solution in organizations.
Full Text Available This research explored Human Resource Management (HRM in enhancement processes of knowledge management. This research explored how HRM practice enhanced the operational of knowledge management. Data were collected by a survey by interviewing 12 informants from Small and Medium Enterprise (SME. The results show that HRM practice gives initiative in the enhancement process of the knowledge management strategy applied to the company. It can be concluded that each sub-component of HRM affects the components of knowledge management, and HRM is highly influential and has a positive effect on quality management processes and vice versa in the work environment.
Silva, Elaine da [UNESP; Valentim, Marta Lígia Pomim [UNESP
It highlights the innovation importance in the current society and presents innovation indicators applied in 125 countries. We made an analysis in the 80 variables distributed through seven GII pillars, trying to identify the direct, indirect or null incidences of the knowledge conversion way described by the SECI Process. The researched revealed the fact that knowledge management, in this case specifically the knowledge conversion SECI Process, is present in the variables that, according to ...
Various scholars have argued that knowledge processes in organizations are integrally linked in practice. The extant literature though treats them separately and thereby disregards the interactions and tensions between them. A result of this way of studying knowledge processes is that little is
Frederico Cesar Mafra Pereira
Full Text Available This article present the knowledge-conversion process in a small business company located in Belo Horizonte (MG - study of case in a specialized school -, using the theoretical referencial of the four knowledge-conversion processes (NONAKA and TAKEUCHI, 1997.
Merrill, M. David; And Others
Discussion of instructional transaction theory focuses on knowledge representation in an automated instructional design expert system. A knowledge structure called PEA-Net (processes, entities, and activities) is explained; the refrigeration process is used as an example; text resources and graphic resources are described; and simulations are…
Kendeou, Panayiota; Walsh, Erinn K.; Smith, Emily R.; O'Brien, Edward J.
In the present set of experiments, we systematically examined the processes that occur while reading texts designed to refute and explain commonsense beliefs that reside in readers' long-term memory. In Experiment 1 (n = 36), providing readers with a refutation-plus-explanation of a commonsense belief was sufficient to significantly reduce…
Niederman, Fred; March, Salvatore T.; Mueller, Benjamin
This paper describes how the general notion of process theory can provide a foundational component in a portfolio of project management theories. The paper begins by outlining a variety of views pertaining to the nature of theory and theory development. This forms a basis for understanding how
Brøndsted, J.; Christiansen, N.; Nicolajsen, Hanne Westh
, are both very relevant, interrelated and mutually enabling aspects of the organizational knowledge processes. However it seems as it the research on IT in knowledge management has been primarily concerned with knowledge. We argue that there is a need for studying the work practices in a socio......In this paper we apply the framework of Cook and Brown (1999) to gain a broader perspective on the role of IT in organizational knowledge creation and use. The framework of Cook and Brown suggests that knowledge, as something people possess, and knowing, as the epistemic work done in action......-technical perspective taking the interconnected relationship between knowledge and knowing into account. We explore the role of IT in knowledge processes by studying three different practices. These practices are a pre-defense of a Ph.D. dissertation using a video conferencing system in the area of geophysics...
This research aimed to investigate the effects of knowledge management enablers, such as organizational structure, leadership, learning, information technology systems, trust, and collaboration, on the knowledge management process of creation, storage, sharing, and application. Using data from self-administered questionnaires in four Korean tertiary hospitals, this survey investigated the main organizational factors affecting the knowledge management process in these organizations. A total of 779 questionnaires were analyzed using SPSS 18.0 and AMOS 18.0. The results showed that organizational factors affect the knowledge management process differently in each hospital organization. From a managerial perspective, the implications of these factors for developing organizational strategies that encourage and foster the knowledge management process are discussed.
Hohimer, Ryan E [West Richland, WA; Thomson, Judi R [Guelph, CA; Harvey, William J [Richland, WA; Paulson, Patrick R [Pasco, WA; Whiting, Mark A [Richland, WA; Tratz, Stephen C [Richland, WA; Chappell, Alan R [Seattle, WA; Butner, R Scott [Richland, WA
Processes, data structures, and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.
Diemers, Agnes D; van de Wiel, Margje W J; Scherpbier, Albert J J A; Baarveld, Frank; Dolmans, Diana H J M
Medical experts have access to elaborate and integrated knowledge networks consisting of biomedical and clinical knowledge. These coherent knowledge networks enable them to generate more accurate diagnoses in a shorter time. However, students' knowledge networks are less organised and students have difficulties linking theory and practice and transferring acquired knowledge. Therefore we wanted to explore the development and transfer of knowledge of third-year preclinical students on a problem-based learning (PBL) course with real patient contacts. Before and after a 10-week PBL course with real patients, third-year medical students were asked to think out loud while diagnosing four types of paper patient problems (two course cases and two transfer cases), and explain the underlying pathophysiological mechanisms of the patient features. Diagnostic accuracy and time needed to think through the cases were measured. The think-aloud protocols were transcribed verbatim and different types of knowledge were coded and quantitatively analysed. The written pathophysiological explanations were translated into networks of concepts. Both the concepts and the links between concepts in students' networks were compared to model networks. Over the course diagnostic accuracy increased, case-processing time decreased, and students used less biomedical and clinical knowledge during diagnostic reasoning. The quality of the pathophysiological explanations increased: the students used more concepts, especially more model concepts, and they used fewer wrong concepts and links. The findings differed across course and transfer cases. The effects were generally less strong for transfer cases. Students' improved diagnostic accuracy and the improved quality of their knowledge networks suggest that integration of biomedical and clinical knowledge took place during a 10-week course. The differences between course and transfer cases demonstrate that transfer is complex and time-consuming. We
Kovačić, Andrej; Bosilj Vukšić, Vesna; Lončar, Anita
This paper analyses the relationship between business process modelling, knowledge management and information systems development projects. The paper’s main objective is to present business rules as the encoded knowledge of corporate business practices. Further, it introduces a rule-based business activity meta-model as a repository in which business knowledge can be captured and traced from their origin in the business environment through to their implementation in information systems. The c...
Zhou, Du; Yuan, Xi; Gao, Haoxiang; Wang, Ailing; Liu, Jun; El Fakir, Omer; Politis, Denis J; Wang, Liliang; Lin, Jianguo
The use of Finite Element (FE) simulation software to adequately predict the outcome of sheet metal forming processes is crucial to enhancing the efficiency and lowering the development time of such processes, whilst reducing costs involved in trial-and-error prototyping. Recent focus on the substitution of steel components with aluminum alloy alternatives in the automotive and aerospace sectors has increased the need to simulate the forming behavior of such alloys for ever more complex component geometries. However these alloys, and in particular their high strength variants, exhibit limited formability at room temperature, and high temperature manufacturing technologies have been developed to form them. Consequently, advanced constitutive models are required to reflect the associated temperature and strain rate effects. Simulating such behavior is computationally very expensive using conventional FE simulation techniques. This paper presents a novel Knowledge Based Cloud FE (KBC-FE) simulation technique that combines advanced material and friction models with conventional FE simulations in an efficient manner thus enhancing the capability of commercial simulation software packages. The application of these methods is demonstrated through two example case studies, namely: the prediction of a material's forming limit under hot stamping conditions, and the tool life prediction under multi-cycle loading conditions.
Colleen Marie O'Brien
Full Text Available Review of Landscape, Process and Power: Re-evaluating Traditional Environmental Knowledge. Serena Heckler, ed. 2009. Berghahn Books, New York. Pp. 304, 21 illustrations, bibliography, index. $95.00 (hardback. ISBN 978-1-84545-549-1
Haddadpoor, Asefeh; Taheri, Behjat; Nasri, Mehran; Heydari, Kamal; Bahrami, Gholamreza
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
Franco, Massimo; Mariano, Stefania
Using empirical research data, this study investigated how knowledge is stored and retrieved in an American company and contributed to the growing body of literature on the use of knowledge, technology, and memory systems to improve organizational performance. It demonstrated the importance of individual motivation and efforts, managerial capabilities, and shared organizational technologies in the management of organizational processes and revealed factors influencing the processes of knowled...
Firstly, this paper gave a brief review of the core issues of previous studies on spatial distribution of knowledge spillovers. That laid the theoretical foundation for further research. Secondly, this paper roughly described the diffusion process of solar patents in Bejing-Tianjin-Hebei and the Pearl River Delta regions by means of correlation analysis based on patent information of the application date and address of patentee. After that, this paper introduced the variables of spatial distance, knowledge absorptive capacity, knowledge gap and pollution control and built the empirical model of patent, and then collecting data to test them. The results showed that knowledge absorptive capacity was the most significant factor than the other three, followed by the knowledge gap. The influence of spatial distance on knowledge spillovers was limited and the most weak influence factor was pollution control.
Full Text Available In the scientific literature, open innovation is one of the most effective means to innovate and gain a competitive advantage. In practice, there is a variety of open innovation activities, but, nevertheless, customers stand as the cornerstone in this area, since the customers’ knowledge is one of the most important sources of new knowledge and ideas. Evaluating the context where are the interactions of open innovation and customer knowledge enablement, it is necessary to take into account the importance of customer knowledge management. Increasingly it is highlighted that customers’ knowledge management facilitates the creation of innovations. However, it should be an examination of other factors that influence the open innovation, and, at the same time, customers’ knowledge management. This article presents a theoretical model, which reveals the assumptions of open innovation process and the impact on the firm’s performance.
Tamou, C; de Boer, I J M; Ripoll-Bosch, R; Oosting, S J
Pastoralists have traditional ecological knowledge (TEK), which is important for their livelihoods and for policies and interventions. Pastoralism is under pressure, however, which may result in a decline of pastoral lifestyle and its related TEK. We, therefore, addressed the following objectives (i) to inventorise and assess how pastoralists characterise and value soils and forages in their environment, (ii) to analyse how soil, forage and livestock (i.e. cattle) characteristics relate to herding decisions and (iii) to determine whether TEK underlying herding decisions differs across generations. Data were collected through focus groups and individual interviews with 72 pastoralists, belonging to three generations and to three agro-ecological zones. Using a three-point scale (high, medium, low), four grasses and three tree forages were assessed in terms of nutritional quality for milk, meat, health and strength. Using their own visual criteria, pastoralists identified five different soils, which they selected for herding at different times of the year. Pastoralists stated that Pokuri was the best soil because of its low moisture content, whereas Karaal was the worst because forage hardly grows on it. They stated that perennials, such as Andropogon gayanus and Loxoderra ledermannii, were of high nutritional quality, whereas annuals such as Andropogon pseudapricus and Hyparrhenia involucrata were of low nutritional quality. Afzelia africana was perceived of high quality for milk production, whereas Khaya senegalensis had the highest quality for meat, health and strength. Pastoralists first used soil, then forage and finally livestock characteristics in their herding decisions. Pastoralists' TEK was not associated with their generations, but with their agro-ecological zones. This study suggests that pastoralists had common and detailed TEK about soils, forages and livestock characteristics, underlying their herding decisions. To conclude, pastoralists use a holistic
Full Text Available The paper presents an overview of some problems of information science which are explicitly portrayed in literature. It covers the following issues: information explosion, information flood and data deluge, information retrieval and relevance of information, and finally, the problem of scientific communication. The purpose of this paper is to explain why knowledge acquisition, can be considered as an issue in information sciences. The existing theoretical foundation within the information sciences, i.e. the DIKW hierarchy and its key concepts - data, information, knowledge and wisdom, is recognized as a symbolic representation as well as the theoretical foundation of the knowledge acquisition process. Moreover, it seems that the relationship between the DIKW hierarchy and the knowledge acquisition process is essential for a stronger foundation of information sciences in the 'body' of the overall human knowledge. In addition, the history of both the human and machine knowledge acquisition has been considered, as well as a proposal that the DIKW hierarchy take place as a symbol of general knowledge acquisition process, which could equally relate to both human and machine knowledge acquisition. To achieve this goal, it is necessary to modify the existing concept of the DIKW hierarchy. The appropriate modification of the DIKW hierarchy (one of which is presented in this paper could result in a much more solid theoretical foundation of the knowledge acquisition process and information sciences as a whole. The theoretical assumptions on which the knowledge acquisition process may be established as a problem of information science are presented at the end of the paper. The knowledge acquisition process does not necessarily have to be the subject of epistemology. It may establish a stronger link between the concepts of data and knowledge; furthermore, it can be used in the context of scientific research, but on the more primitive level than conducting
Full Text Available The paper introduces a novel Personal Knowledge Management (PKM concept and prototype system. The system’s objective is to aid life-long-learning, resourcefulness, creativity, and teamwork of individuals throughout their academic and professional life and as contributors and beneficiaries of organizational and societal performance. Such a scope offers appealing and viable opportunities for stakeholders in the educational, professional, and developmental context. To further validate the underlying PKM application design, the systems thinking techniques of the transdiscipline of Informing Science (IS are employed. By applying Cohen’s IS-Framework, Leavitt’s Diamond Model, the IS-Meta Approach, and Gill’s and Murphy’s Three Dimensions of Design Task Complexity, the more specific KM models and methodologies central to the PKMS concept are aligned, introduced, and visualized. The extent of this introduction offers an essential overview, which can be deepened and broadened by using the cited URL and DOI links pointing to the available resources of the author’s prior publications. The paper emphasizes the differences of the proposed meme-based PKM System compared to its traditional organizational document-centric counterparts as well as its inherent complementing synergies. As a result, it shows how the system is closing in on Vannevar Bush’s still unfulfilled vison of the ‘Memex’, an as-close-as-it-gets imaginary ancestor celebrating its 70th anniversary as an inspiring idea never realized. It also addresses the scenario recently put forward by Levy which foresees a decentralizing revolution of knowledge management that gives more power and autonomy to individuals and self-organized groups. Accordingly, it also touches on the PKM potential in terms of Kuhn’s Scientific Revolutions and Disruptive Innovations.
Janice E. Carrillo; Cheryl Gaimon
A firm's ability to manage its knowledge-based resource capabilities has become increasingly important as a result of performance threats triggered by technology change and intense competition. At the manufacturing plant level, we focus on three repositories of knowledge that drive performance. First, the physical production or information systems represent knowledge embedded in the plant's technical systems. Second, the plant's workforce has knowledge, including diverse scientific informatio...
Bhusry, Mamta; Ranjan, Jayanthi
Purpose: The purpose of this paper is to emphasize the need for knowledge management (KM) in the teaching-learning process in technical educational institutions (TEIs) in India, and to assert the impact of information technology (IT) based KM intervention in the teaching-learning process. Design/methodology/approach: The approach of the paper is…
Herlea, D.E.; Jonker, C.M.; Treur, J.; Wijngaards, W.C.A.
In current literature few detailed process models for Requirements Engineering are presented: usually high-level activities are distinguished, without a more precise specification of each activity. In this paper the process of Requirements Engineering has been analyzed using knowledge-level
Four papers from a project concerning information-processing characterizations of the knowledge and processes involved in design are presented. The project collected and analyzed verbal protocols from instructional designers, architects, and mechanical engineers. A framework was developed for characterizing the problem spaces of design that…
Advancing technology in process plants has led to increased need for computer based process diagnostic systems to assist the operator. One approach to this problem is to use an embedded knowledge based system to interpret measurement signals. Knowledge based systems using only symptom based rules are inadequate for real time diagnosis of dynamic systems; therefore a model based approach is necessary. Though several forms of model based reasoning have been proposed, the use of qualitative causal models incorporating first principles knowledge of process behavior structure, and function appear to have the most promise as a robust modeling methodology. In this paper the structure of a diagnostic system is described which uses model based reasoning and conventional numerical methods to perform process diagnosis. This system is being applied to emergency diesel generator system in nuclear stations
Alfonso Gómez Fernández
Full Text Available The aim of this article is to expound the whiteheadian conception of knowledge as a process. It requires explaining previously the core of his metaphysics, known as the «speculative scheme». All knowledge is essentially a process, not only in a subjective but also in an objective sense, for the British philosopher. Process has to be part of the known object, because sense, relevance and therefore understanding only appear in the process, in creative advance. In accordance with the speculative scheme structure (eternal objects» presupposes a process. The traditional classification of knowledge (sensuous and intellectual ignores the root of all kinds of knowledge: the paradoxical concept of a «non-sensuous perception». This concept emphasizes the «biological» constituent of all act of knowledge, and connects consciousness to reality. Finally I explain the culmination of this gnoseology, known as Reformed Subjectivist Principle. This principle leads to a peculiar realism, far from both Greek and medieval realism and from modern subjectivism likewise.
We clarify the role of tacit knowing in the soft systems methodology. For the purpose we investigate the basic structure of its seven-stage model, while embedding the soft systems methodology in organizational knowledge-creating process. This leads to the introduction of concept creation to the methodology. This changes the basic shape of the soft systems methodology from learning cycle to organizational knowledge-creating spiral where concept creation is the key point.
Full Text Available The focus of the study is on the knowledge that is constructed through perceptual processes during craft making in the context of the Finnish Basic Education in the Arts (BEA system. Craft studies in the BEA are defined as craft-art. The research method used is the grounded theory. The data consists of seven interviews and participant observations. Participants in the study are adolescents who study craft-art in the BEA system in Visual Art School, Aimo in Hämeenlinna. The aim of the article is to present, define and reflect on the concepts, properties and dimensions concerning perceptual processes that are discovered in this stage of the study following grounded theory procedures. The perceptual processes are an essential means of constructing knowledge in craft-art. Consequently, one aim of the study is to discuss how these processes are connected to various types of knowledge. The perceptual processes are described by seven concepts: imitative, anticipative, evaluative, experimental, emotional, temporal and bodily perceptions. They indicate on a conceptual level the characteristic of knowledge constructed through perceptual processes in craft-art. Further, theconcepts have several properties that can vary dimensionally between two qualities. The properties are activity, function and position. The dimensions of the properties vary from active to passive, formal to informal and internal to external. In conclusion, the concepts can describe a large range of incidents in different situations. They also seem to describe well the practice of craft-art and there are several connections with pre-existing concepts of knowledge.Keywords: Craft, Knowledge, Perceptual process, Basic Education in the Arts, Grounded Theory
comprehension. Norwood, N.J.: Ablex, 1977. Craik , F.I.M., and Lockhart , R. S. Levels of processing : for memory research. Journal of Verbal Learning A...Table 5.9 presents summary data regarding the performance levels and memory and search processes of individual subjects. The first row in Table 5.9...R-2256-ARP A June 1979 ARPA Order No.: 189-1 9020 Cybernetics Technology Human Processing of Knowledge from Texts: Acquisition, Integration, and
M. J.M. Razi; N. S.A. Karim
Problem statement: Implementation of Knowledge Management (KM) process in organizations is considered as essential to be competitive in the present competitive world. Though the modern KM practices highly depend on technology, individuals (organizational members) intention to be involved in KM process plays a major role in the success. Hence, the evaluation of individuals intention is deemed as significant before the actual implementation of KM process in organizations. Nevertheless, inadequa...
Naert, Lien; Bonato, Mario; Fias, Wim
Spatial attention allows us to selectively process information within a certain location in space. Despite the vast literature on spatial attention, the effect of cognitive load on spatial processing is still not fully understood. In this study we added cognitive load to a spatial processing task, so as to see whether it would differentially impact upon the processing of visual information in the left versus the right hemispace. The main paradigm consisted of a detection task that was performed during the maintenance interval of a verbal working memory task. We found that increasing cognitive working memory load had a more negative impact on detecting targets presented on the left side compared to those on the right side. The strength of the load effect correlated with the strength of the interaction on an individual level. The implications of an asymmetric attentional bias with a relative disadvantage for the left (vs the right) hemispace under high verbal working memory (WM) load are discussed.
I show that whenever a system undergoes a reproducible macroscopic process the mutual distinguishability of macrostates, as measured by their relative entropy, diminishes. This extends the second law which regards only ordinary entropies, and hence only the distinguishability between macrostates and one specific reference state (equidistribution). The new result holds regardless of whether the process is linear or nonlinear. Its proof hinges on the monotonicity of quantum relative entropy under arbitrary coarse grainings, even those that cannot be represented by trace-preserving completely positive maps.
Sanfilippo, Antonio P.; Nibbs, Faith G.
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.
The release of the majority of radionuclides from spent nuclear fuel under permanent disposal conditions will be controlled by the rate of dissolution of the UO 2 fuel matrix. In this manuscript the mechanism of the coupled anodic (fuel dissolution) and cathodic (oxidant reduction) reactions which constitute the overall fuel corrosion process is reviewed, and the many published observations on fuel corrosion under disposal conditions discussed. The primary emphasis is on summarizing the overall mechanistic behaviour and establishing the primary factors likely to control fuel corrosion. Included are discussions on the influence of various oxidants including radiolytic ones, pH, temperature, groundwater composition, and the formation of corrosion product deposits. The relevance of the data recorded on unirradiated UO 2 to the interpretation of spent fuel behaviour is included. Based on the review, the data used to develop fuel corrosion models under the conditions anticipated in Yucca Mountain (NV, USA) are evaluated
Mohamad Safuan Sulaiman; Siti Nurbahyah Hamdan; Mohd Dzul Aiman Aslan
In the United States of America, Process Oriented Knowledge Management (POKM) Model has been successfully implemented in most of Nuclear Power Plants. This approach has been introduced in Nuclear Knowledge Management program by the IAEA since 2011. Malaysia has involved in the IAEA Coordinated Research Project (CRP) focusing the approach started in 2011. The main objective for Malaysian participation of this project is to support readiness in terms of nuclear technical knowledge by Technical Support Organization (TSO) for Nuclear Power Program. This project has focused on several nuclear technical areas which consist of Public Information (PI), Radiological Impact Assessment (RIA), Nuclear Reactor Technology (NRT), Plant and Prototype Development (PDC) and nuclear knowledge management. This paper articulates the detail POKM approach and project experience in implementing the approach at organizational level. (author)
Nogeste, Kersti; Walker, Derek H. T.
Purpose: This paper aims to use a knowledge management (KM) approach to effectively revise a utility retailer's software testing process. This paper presents a case study of how the utility organisation's customer services IT production support group improved their test planning skills through applying the American Productivity and Quality Center…
Thorndyke, Perry W.
A framework for viewing human text comprehension, memory, and recall is presented that assumes patterns of abstract conceptual relations are used to guide processing. These patterns consist of clusters of knowledge that encode prototypical co-occurrences of situations and events in narrative texts. The patterns are assumed to be a part of a…
Natália Chaves Lessa Schots
Full Text Available Background: Process performance analysis is a key step for implementing continuous improvement in software organizations. However, the knowledge to execute such analysis is not trivial and the person responsible to executing it must be provided with appropriate support. Aim: This paper presents a knowledge-based environment, named SPEAKER, proposed for supporting software organizations during the execution of process performance analysis. SPEAKER comprises a body of knowledge and a set of activities and tasks for software process performance analysis along with supporting tools to executing these activities and tasks. Method: We conducted an informal literature reviews and a systematic mapping study, which provided basic requirements for the proposed environment. We implemented the SPEAKER environment integrating supporting tools for the execution of activities and tasks of performance analysis and the knowledge necessary to execute them, in order to meet the variability presented by the characteristics of these activities. Results: In this paper, we describe each SPEAKER module and the individual evaluations of these modules, and also present an example of use comprising how the environment can guide the user through a specific performance analysis activity. Conclusion: Although we only conducted individual evaluations of SPEAKER’s modules, the example of use indicates the feasibility of the proposed environment. Therefore, the environment as a whole will be further evaluated to verify if it attains its goal of assisting in the execution of process performance analysis by non-specialist people.
Petrusel, R.; Vanderfeesten, I.T.P.; Dolean, Cristina; Mican, D.
In this paper, we present a new knowledge acquisition and formalization method: the decision mining approach. Basically, we aim to produce a model of the workflow of mental actions performed by decision makers during the decision process. We show that through the use of a Product Data Model (PDM) we
García Pulido, Yadrián Arnaldo*1, Castillo Zúñiga, Victor Javier2, Medina León, Alberto3, Medina Nogueira, Daylín4, Mayorga Villamar, Carmen Manuela5
The processes improvement is inherent to the business management. In the competitive current market, the businesses adaptation capacity is fundamental. The continuous improvement becomes into the reason of being of the companies, being adapted to the clients, being more efficient and winning in flexibility in the face of an extremely unstable economy. Several tools have been developed with the objective of improving the processes, however the integration of elements of other knowledge areas h...
Full Text Available The proposed incorporation of traditional intellectual property into the definition of copyright, trade-marks and designs as defined in the Copyright Act 98 of 1978, the Trade Marks Act 94 of 1993 and the Designs Act 195 of 1993 may affect the income tax liability of parties where traditional knowledge is the object of such a transaction. The aim of this contribution is to consider the potential income tax consequences of this incorporation for those receiving income and incurring expenditure in relation to the use or disposal of traditional knowledge.
Roč. 24, č. 3 (2010), s. 188-202 ISSN 0890-6327 R&D Projects: GA ČR(CZ) GP201/06/P434 Institutional research plan: CEZ:AV0Z10750506 Keywords : Kalman filtering * prior knowledge * state-space model * initial state distribution Subject RIV: BC - Control Systems Theory Impact factor: 0.729, year: 2010 http://library.utia.cas.cz/separaty/2009/AS/suzdaleva-prior knowledge processing for initial state of kalman filter.pdf
Full Text Available The aim of this paper is to compare companies by using value creation model and to determine knowledge in these processes. The framework for the value creation process shows problems of case companies in different phases of this process. Knowledge is compared in each of the individual phases of the process and its role in different types of companies. There is identified role of knowledge for increasing competitive advantage. The methodology involves case study from which data are derived and analyzed. The analysis shows that the framework for the value creation process can be used as an analytical tool for value overview in different phases and there is a need for different approaches to improve business and create new value for customers. Based on the analyzed problems, proposed recommendations for improvement are made. These recommendations are based on providing value innovation for customers (end users of software product. Value innovation of software product is considered as crucial for improvement of the companies in machinery industry. Company A has created new value through remote service. This remote service provides several advantages. Customers can prevent problems in machines by implementing software product which is still analyzing and evaluating data from machines. Company B and C were not able to create major value innovation for several years.
Full Text Available The aim of this paper is to compare companies by using value creation model and to determine knowledge in these processes. The framework for the value creation process shows problems of case companies in different phases of this process. Knowledge is compared in each of the individual phases of the process and its role in different types of companies. There is identified role of knowledge for increasing competitive advantage. The methodology involves case study from which data are derived and analyzed. The analysis shows that the framework for the value creation process can be used as an analytical tool for value overview in different phases and there is a need for different approaches to improve business and create new value for customers. Based on the analyzed problems, proposed recommendations for improvement are made. These recommendations are based on providing value innovation for customers (end users of software product. Value innovation of software product is considered as crucial for improvement of the companies in machinery industry. Company A has created new value through remote service. This remote service provides several advantages. Customers can prevent problems in machines by implementing software product which is still analyzing and evaluating data from machines. Company B and C were not able to create major value innovation for several years.
Full Text Available Spatial attention allows us to selectively process information within a certain location in space. Despite the vast literature on spatial attention, the effect of cognitive load on spatial processing is still not fully understood. In this study we added cognitive load to a spatial processing task, so as to see whether it would differentially impact upon the processing of visual information in the left versus the right hemispace. The main paradigm consisted of a detection task that was performed during the maintenance interval of a verbal working memory task. We found that increasing cognitive working memory load had a more negative impact on detecting targets presented on the left side compared to those on the right side. The strength of the load effect correlated with the strength of the interaction on an individual level. The implications of an asymmetric attentional bias with a relative disadvantage for the left (vs the right hemispace under high verbal working memory (WM load are discussed.
The aim of this contribution is to consider the potential income tax consequences of this incorporation for those receiving income and incurring expenditure in relation to the use or disposal of traditional knowledge. List of keywords: Deductions, expenses, exempt income, gross income, income, person, tax consequences, ...
Full Text Available Process-oriented thinking has become the major paradigm for managing companies and other organizations. The push for better processes has been even more intense due to rapidly evolving client needs, borderless global markets and innovations swiftly penetrating the market. Thus, education is decisive for successfully introducing and implementing Business Process Management (BPM initiatives. However, BPM education has been an area of challenge. This special issue aims to provide current research on various aspects of BPM education. It is an initial effort for consolidating better practices, experiences and pedagogical outcomes founded with empirical evidence to contribute towards the three pillars of education: learning, teaching, and disseminating knowledge in BPM.
Yusoff, Mohd Zairol; Mahmuddin, Massudi; Ahmad, Mazida
Knowledge and skill are necessary to develop the capability of knowledge workers. However, there is very little understanding of what the necessary knowledge work (KW) is, and how they influence the quality of knowledge work or knowledge work productivity (KWP) in software development process, including that in small and medium-sized (SME) enterprise. The SME constitutes a major part of the economy and it has been relatively unsuccessful in developing KWP. Accordingly, this paper seeks to explore the influencing dimensions of KWP that effect on the quality of KW in SME environment. First, based on the analysis of the existing literatures, the key characteristics of KW productivity are defined. Second, the conceptual model is proposed, which explores the dimensions of the KWP and its quality. This study analyses data collected from 150 respondents (based on , who involve in SME in Malaysia and validates the models by using structural equation modeling (SEM). The results provide an analysis of the effect of KWP on the quality of KW and business success, and have a significant relevance for both research and practice in the SME
Morgan, Emily; Levy, Roger
We ask whether word order preferences for binomial expressions of the form A and B (e.g. bread and butter) are driven by abstract linguistic knowledge of ordering constraints referencing the semantic, phonological, and lexical properties of the constituent words, or by prior direct experience with the specific items in questions. Using forced-choice and self-paced reading tasks, we demonstrate that online processing of never-before-seen binomials is influenced by abstract knowledge of ordering constraints, which we estimate with a probabilistic model. In contrast, online processing of highly frequent binomials is primarily driven by direct experience, which we estimate from corpus frequency counts. We propose a trade-off wherein processing of novel expressions relies upon abstract knowledge, while reliance upon direct experience increases with increased exposure to an expression. Our findings support theories of language processing in which both compositional generation and direct, holistic reuse of multi-word expressions play crucial roles. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.
Højris, Anders; Nielsen, Louise Møller
– based on technical performance, no longer apply. Accordingly the approach in this paper is to view information and knowledge about materials through the perspective of organizational memory and technology brokering. This paper is build upon two cases from the German based design studio: designaffairs...... libraries and thereby access to information on new material possibilities has also changed the way designers integrate knowledge about materials into the design process. This means that the traditional design process model, where the selection of materials takes place after the design of form and function...... in order to help clients to find the right material among hundreds of samples. Furthermore a number of material libraries have also been developed into online database, which provides detailed information about new material and makes the information accessible from almost everywhere. The access to material...
Mohsen Shafiei Nikabadi
The main goal of this study is to provide a framework for knowledge management processes in supply chain of automotive industry in iran. This is an applied research and has done as a survey in Iran Khodro and Saipa Company as the largest companies in automotive industry of Iran. In this study 206 experts participated. Reliability methods were cronbach's Alfa and validity tests were content construction and discriminant analysis. To response to 1 main question and 5 sub questions in this resea...
Under the oxidizing conditions likely to be encountered in the Yucca Mountain Repository, fuel dissolution is a corrosion process involving the coupling of the anodic dissolution of the fuel with the cathodic reduction of oxidants available within the repository. The oxidants potentially available to drive fuel corrosion are environmental oxygen, supplied by the transport through the permeable rock of the mountain and molecular and radical species produced by the radiolysis of available aerated water. The mechanism of these coupled anodic and cathodic reactions is reviewed in detail. While gaps in understanding remain, many kinetic features of these reactions have been studied in considerable detail, and a reasonably justified mechanism for fuel corrosion is available. The corrosion rate is determined primarily by environmental factors rather than the properties of the fuel. Thus, with the exception of increase in rate due to an increase in surface area, pre-oxidation of the fuel has little effect on the corrosion rate
Shoesmith, D.W. [Univ. of Western Ontario, Dept. of Chemistry, London, Ontario (Canada)
Under the oxidizing conditions likely to be encountered in the Yucca Mountain Repository, fuel dissolution is a corrosion process involving the coupling of the anodic dissolution of the fuel with the cathodic reduction of oxidants available within the repository. The oxidants potentially available to drive fuel corrosion are environmental oxygen, supplied by the transport through the permeable rock of the mountain and molecular and radical species produced by the radiolysis of available aerated water. The mechanism of these coupled anodic and cathodic reactions is reviewed in detail. While gaps in understanding remain, many kinetic features of these reactions have been studied in considerable detail, and a reasonably justified mechanism for fuel corrosion is available. The corrosion rate is determined primarily by environmental factors rather than the properties of the fuel. Thus, with the exception of increase in rate due to an increase in surface area, pre-oxidation of the fuel has little effect on the corrosion rate.
Full Text Available In this paper, a possibilistic network implementation for uncertain knowledge modeling of the diagnostic process is proposed as a means to achieve student diagnosis in intelligent tutoring system. This approach is proposed in the object oriented programming domain for diagnosis of students learning errors and misconception. In this expertise domain dependencies between data exist that are encoded in the structure of network. Also, it is available qualitative information about these data which are represented and interpreted with qualitative approach of possibility theory. The aim of student diagnosis system is to ensure an adapted support for the student and to sustain the student in personalized learning process and errors explanation.
The coming of knowledge economy creates unprecedented situation of economy development. The trend of education's globalization as well as communication means frequently updated severely hit the system of financial management. Along with the deep going of education industrialization, and development of logistics management socialization, system and content of university financial management are increasingly expending and getting more and more complex that result in new challenge and problems to financial management. In order to step up with university development of internationalization and the logistics development of socialization, the financial management has to reform in response to this new challenge and trend.
Full Text Available Based on the field of aesthetics, for centuries philosophers and more recently scientists have been concerned with understanding the artistic experience focusing on emotional responses to the perception of artworks. By contrast, in the last decades, evolutionary biology has been concerned with explaining the artistic experience by focusing on the cognitive processes underlying this experience. Up until now, the cognitive mechanisms that allow humans to experience objects and events as art remain largely unexplored and there is still no conventional use of terms for referring to the processes which may explain why the artistic experience is characteristically human and universal to human beings (Dissanayake, 1992, p. 24; Donald, 2006, p. 4. In this paper, I will first question whether it is productive to understand the artistic experience in terms of perception and emotion, and I will subsequently propose a possible alternative explanation to understand this experience. Drawing upon the work of Ellen Dissanayake (1992, 2000, 2015, Merlin Donald (2001, 2006, 2013, Antonio Damasio (1994, 2000, 2003, 2010, Barend van Heusden (2004, 2009, 2010, and Alejandra Wah (2014, I will argue that this experience is characterized by particular degrees of imagination and consciousness.
Painter, John H.; Glass, Emily; Economides, Gregory; Russell, Paul
This Contractor Report documents research in Intelligent Control using knowledge-based processing in a manner dual to methods found in the classic stochastic decision, estimation, and control discipline. Such knowledge-based control has also been called Declarative, and Hybid. Software architectures were sought, employing the parallelism inherent in modern object-oriented modeling and programming. The viewpoint adopted was that Intelligent Control employs a class of domain-specific software architectures having features common over a broad variety of implementations, such as management of aircraft flight, power distribution, etc. As much attention was paid to software engineering issues as to artificial intelligence and control issues. This research considered that particular processing methods from the stochastic and knowledge-based worlds are duals, that is, similar in a broad context. They provide architectural design concepts which serve as bridges between the disparate disciplines of decision, estimation, control, and artificial intelligence. This research was applied to the control of a subsonic transport aircraft in the airport terminal area.
Kami, Maria Terumi Maruyama; Larocca, Liliana Muller; Chaves, Maria Marta Nolasco; Piosiadlo, Laura Christina Macedo; Albuquerque, Guilherme Souza
To identify ideological knowledge and tool knowledgethat provide support to the Street Outreach Office working process. Qualitative and exploratory research. TwentyStreet Outreach Office professionals and six users collected the data, applying different semi-structured interview schedules for each category of participants. The resulting categories were analyzed in light of tool and ideological knowledge presented in the working process. From the participant discourses the following ideological knowledge emerged: public policies and the needs of the person ina street situation and tool knowledge, as well as devices and tools for the care of people in street situations and a weekly schedule. The focus on the working process discourse, supported by ideological knowledge, was verified. The structural dimension of the objective reality of the population in street situations was perceptible in the social determination of being situating on the street. When daily situations were revealed, the limitations to be overcome in the working process context were noticed. Identificar os saberes ideológicos e instrumentais que subsidiam o processo de trabalho do Consultório na Rua. Pesquisa qualitativa e exploratória. A coleta de dados foi realizada junto a 20 profissionais e seis usuários do Consultório na Rua de um município do sul do Brasil, por meio de entrevistas com roteiros semiestruturados distintos para cada categoria de participantes. As classes resultantes foram analisadas à luz dos saberes ideológicos e instrumentais presentes no processo de trabalho. Dos discursos dos participantes emergiram os saberes ideológicos: políticas públicas e necessidades da pessoa em situação de rua e os saberes instrumentais: dispositivos e instrumentos no cuidado à pessoa em situação de rua e agenda semanal. Constatou-se a centralidade dos discursos no processo de trabalho, sustentado pelos saberes ideológicos. A dimensão estrutural da realidade objetiva da população em
Selmer, Jan; Jonasson, Charlotte; Lauring, Jakob
In educational studies much attention has been directed to engagement as a precondition for positive student outcomes. Very few studies, however, have focused on the engagement of the faculty members. This is a regrettable omission because engagement has been argued to lead to more satisﬁed, more...... – and faculty engagement. Our hypotheses are based on social learning theory and social exchange theory predicting that increased knowledge sharing activities could facilitate an environment in which faculty engagement thrives. In order to test our hypotheses we use multiple regression analysis. We assessed...... indicators of behavioural, cognitive and emotional engagement. Results showed consistent positive associations between group knowledge processing and all the studied faculty engagement indicators. Implications and suggestions for future research are discussed in detail....
Dr. Filiz Gürder
Full Text Available Nowadays, organizations are required to develop quick and accurate responses to internal and external changes that gain momentum. In this context, knowledge management activities become more important to all organizations. On the other hand, Geographic Information Systems (GIS become common more and more. GIS which address a broad spectrum of users such as public agencies, local communities, civil society organizations, the private sector, academic environment, and personal users have been aiming to solve problems which occurred in location-based areas. GIS are important to get, combine, analyze and transfer the spatial data. Common use of PCs for personal needs, digital geography and improvements of software technologies, also the need to make socially acceptable business decisions facilitated development and widespread use of GIS applications. The main purpose of this paper is to discuss using areas and contribution potentials of GIS in enterprise-wide knowledge management processes.
A. V. Kulik
Full Text Available Modern philosophical researches pay attention to various aspects of self-knowledge investigation. For instance, there are works on historical concepts of self-knowledge (e.g. ones by C. Moore, or articles about the place of self-knowledge in the phenomenon of rationality (e.g. ones by J. Roessler, or articles about epistemological lacks of self-knowledge (e.g. ones by J. Fernández. However, our paper is about the aspect that is not in the researchers’ centre of attention. Our study shows that practicing of book reading can be a source of information not only about the content of the books, but also about their readers. We investigate a phenomenon of incompatible interpretations, Ludwig Wittgenstein’s ideas about understanding his texts, Merab Mamardashvili’s concept of ‘novel as a machine’, Ludwig Feuerbach’s theory of specifics of human cognition, and Philosophical Hermeneutics thinkers’ concepts about problems of understanding. The purpose of our paper is to describe possibilities of getting self-knowledge by analyzing the information about the results of philosophical texts reading. The research holds that these results give information about the content of the text as well as a reader’s ideas. A reader can use word forms from the texts to express his own implicit thoughts. Philosophical texts are the most effective tool for doing that because their content and ways of text organization stimulate such an activity. We illustrate these statements by examples from history of philosophy. For instance, we investigate the creation of the theory on the genealogy of morality by Friedrich Nietzsche. Analyzing phrases, which were important for him in the text, a person can estimate his own ideas. If one uses this theoretical model for getting self-knowledge he takes a new source of information about his own implicit ideas. The interpretation of this information will be effective. As a result of analyzing of Friedrich Schleiermacher
The development of computer based tools, to assist process plant operators in their task of fault/alarm diagnosis, has received much attention over the last twenty five years. More recently, with the emergence of Artificial Intelligence (AI) technology, the research activity in this subject area has heightened. As a result, there are a great variety of fault diagnosis methodologies, using many different approaches to represent the fault propagation behaviour of process plant. These range in complexity from steady state quantitative models to more abstract definitions of the relationships between process alarms. Unfortunately, very few of the techniques have been tried and tested on process plant and even fewer have been judged to be commercial successes. One of the outstanding problems still remains the time and effort required to understand and model the fault propagation behaviour of each considered process. This thesis describes the development of an experimental knowledge based system (KBS) to diagnose process plant faults, as indicated by process variable alarms. In an attempt to minimise the modelling effort, the KBS has been designed to infer diagnoses using a fault tree representation of the process behaviour, generated using an existing fault tree synthesis package (FAULTFINDER). The process is described to FAULTFINDER as a configuration of unit models, derived from a standard model library or by tailoring existing models. The resultant alarm diagnosis methodology appears to work well for hard (non-rectifying) faults, but is likely to be less robust when attempting to diagnose intermittent faults and transient behaviour. The synthesised fault trees were found to contain the bulk of the information required for the diagnostic task, however, this needed to be augmented with extra information in certain circumstances. (author)
Cijsouw, R. S.; Jorna, R. J.; Rakhorst, G.; Verkerke, G. J.; Charrel, PJ; Galarreta, D
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
Full Text Available http://dx.doi.org/10.5007/2175-8026.2012n63p161 The levels-of-processing approach to speech processing (cf. Kolinsky, 1998 distinguishes three levels, from bottom to top: perception, recognition (which involves activation of stored knowledge and formal explicit analysis or comparison (which belongs to metalinguistic ability, and assumes that only the former is immune to literacy-dependent knowledge. in this contribution, we first briefly review the main ideas and evidence supporting the role of learning to read in the alphabetic system in the development of conscious representations of phonemes, and we contrast conscious and unconscious representations of phonemes. Then, we examine in detail recent compelling behavioral and neuroscientific evidence for the involvement of orthographic representation in the recognition of spoken words. We conclude by arguing that there is a strong need of theoretical re-elaboration of the models of speech recognition, which typically have ignored the influence of reading acquisition.
HENAO-CALAD, MONICA; RIVERA-MONTOYA, PAULA; URIBE-OCHOA, BEATRIZ
ABSTRACT Intellectual property management, knowledge management are disciplines that have been treated independently, both in academia and in the organizational field. Through the legal discipline of intellectual property, the former manages intangible assets that are eligible for protection (copyright, patents and trademarks, among others) leaving aside those assets that cannot be realized in any way. The latter is devoted to the processes of knowledge management in general, namely, the know...
Cheng, Hongyuan; Friis, Alan
set of physical property models for diary products were developed and built into PRO/II system. Milk products viscosity and process system pressure drop were employed as the process characteristic parameters to determine a process operation window. The flexibility of the operation window vertexes...... was evaluated with a minimization of the process pasteurization and cooling temperatures through vertex enumeration method. The quantitative analysis of the dairy process established a framework in developing of different flexible units, such as integrated milk and milk-based product productions, multi...
Full Text Available The internationalisation process in a company embodies a series of projects that are performed in different geographical regions. In some cases, especially in SMEs, companies are not capable of predicting the risks that will be faced during the process and they do not have suitable tools to manage the knowledge acquired in previous internationalisation experiences. Therefore, they fail to turn internationalisation into a sustainable competitive advantage. This paper reports the conclusions of a study based on both a bibliographic research and a comprehensive study of a group of industrial companies. This study includes the analysis of 37 internal reports about internationalisation experiences and the carrying out of semi-structured interviews with managers responsible for international operations. We have identified the main factors (risks that prevent successful internationalisation processes and we have proposed a taxonomy of them. Furthermore, we have proposed a general framework (model which provides a common perspective for all internationalisation projects, bringing coherence, and also a certain level of systematisation, to the decisions made in regards to different internationalisation projects. The model provides a systemic vision of the whole internationalisation process and we believe that companies can develop efficient learning systems based on this framework. It would give them differentiation and, therefore, help them to turn internationalisation into a sustainable competitive advantage.
Zhu, Weiwei; Wei, Jiuchang; Zhao, Dingtao
This study explored the key factors underlying people's anti-nuclear behavioral intentions. The protective action decision model and the heuristic–systematic model were integrated and adapted from a risk information perspective to construct a hypothetical model. A questionnaire study was conducted on a sample of residents near the Haiyang Nuclear Power Plant, which is under construction in Shandong Province, China (N=487). Results show that, as expected, perceived knowledge is vital in predicting people's information insufficiency, information seeking, systematic processing, and risk perception. Moreover, the inverted U relationship between perceived knowledge and anti-nuclear behavioral intentions is indicated in the study. Information insufficiency and information seeking also significantly predict systematic processing. Furthermore, people's behavioral intentions are motivated by risk perception but fail to be stimulated by systematic processing. Implications and recommendations for future research are discussed. - Highlights: • The study explores anti-nuclear behavior from a risk information perspective. • Risk perception and knowledge matter to anti-nuclear behavioral intentions. • Inverted U relationship between knowledge and behavioral intentions is indicated. • More understanding of nuclear power could reduce public opposition.
The authors study the behavior of the underlying event in hard scattering proton-antiproton collisions at 1.8 TeV and compare with the QCD Monte-Carlo models. The underlying event is everything except the two outgoing hard scattered jets and receives contributions from the beam-beam remnants plus initial and final-state radiation. The data indicate that neither ISAJET or HERWIG produce enough charged particles (with p T > 0.5 GeV/c) from the beam-beam remnant component and that ISAJET produces too many charged particles from initial-state radiation. PYTHIA which uses multiple parton scattering to enhance the underlying event does the best job describing the data
The development of knowledge-based systems is usually approached through the combined skills of knowledge engineers (KEs) and subject matter experts (SMEs). One of the most critical steps in this activity aims at transferring knowledge from SMEs to formal, machine-readable representations, which allow systems to reason with such knowledge. However, this is a costly and error prone task. Alleviating the knowledge acquisition bottleneck requires enabling SMEs with the means to produce the desired knowledge representations without the help of KEs. This is especially difficult in the case of compl
Tronea, M.; Ciurea, C.; Oprisescu, M.; Liutiev, C.; Ghinea, P.
Full text: The paper presents the knowledge management process and the knowledge management portal developed by CNCAN, in the framework of the Regional Excellence Project on Regulatory Capacity Building in Nuclear and Radiological Safety, Emergency Preparedness and Response in Romania. The activities of this project started in 2014. The general process for knowledge management is presented, together with its sub-processes: identification of the necessary knowledge; identification of the risk of knowledge loss; acquisition and/or creation of knowledge; knowledge retention (capture, collect, store and organize knowledge); knowledge utilization; review of the effectiveness of the knowledge management process; identification of opportunities for improving the knowledge management process. The paper also presents a set of indicators of the effectiveness of the knowledge management process and the artifacts, espoused values and basic assumptions supporting an effective knowledge management process. The necessary knowledge has been identified using the IAEA recommendations on managing regulatory body competence and the SARCoN methodology. The knowledge management process has been developed based on the IAEA publications on knowledge management in the nuclear industry and in regulatory bodies. The implementation of the process and the development of the portal are ongoing, with more than 20% of the staff using the portal. (author
Zhao, Tan; Qiao, Lihong; Qie, Yifan; Guo, Kai
In order to realize the application of knowledge in machining process design, from the perspective of knowledge in the application of computer aided process planning(CAPP), a hierarchical structure of knowledge classification is established according to the characteristics of mechanical engineering field. The expression of machining process knowledge is structured by means of production rules and the object-oriented methods. Three kinds of knowledge base models are constructed according to the representation of machining process knowledge. In this paper, the definition and classification of machining process knowledge, knowledge model, and the application flow of the process design based on the knowledge base are given, and the main steps of the design decision of the machine tool are carried out as an application by using the knowledge base.
The trend in the natural gas industry is towards custom processing. New gas reserves tend to be smaller and in tighter reservoirs than in the past. This has resulted in plants having processing and transportation capacity available to be leased to third parties. Major plant operators and owners are finding themselves in the business of custom processing in a more focused way. Operators recognize that the dilution of operating costs can result in significant benefits to the plant owners as well as the third party processor. The relationship between the gas processor and the gas producer as they relate to the Petroleum Joint Venture Association (PJVA) Gas Processing Agreement were discussed. Details of the standard agreement that clearly defines the responsibilities of the third party producer and the processor were explained. In addition to outlining obligations of the parties, it also provides a framework for fee negotiation. It was concluded that third party processing can lower facility operating costs, extend facility life, and keep Canadian gas more competitive in holding its own in North American gas markets
Obsolescence, defined as the process of declining performance of buildings, is a serious threat for the value, the usefulness and the life span of built properties. Thomsen and van der Flier (2011) developed a model in which obsolescence is categorised on the basis of two distinctions, i.e. between
This paper describes two techniques, created and implemented in the course of development of the real-time on-line expert system Recon at the Nuclear Research Institute at Rez, Czech Republic. The first of them is the qualitative processing of uncertainty, which is based on the introduction of the third logic value to logic data objects, and the credibility flag to arithmetic data objects. The treatment of the third value and credibility flags during the inference, the explanation method based on the graphic representation and the uncertainty processing during the explanation are also mentioned. The second technique, is a semantic checking of knowledge bases, which enables us to recover parts of the bases, that are meaningless, either because of an error during their implementation into a base, or because they are redundant. The paper includes the explanation of basic terms of this method, such as so called conflicts, K-group and K-situation. The two types of the conflict (dead-end and bubble) are also discussed. The paper also offers the complete mathematical apparatus, which the checking method is based on. (author). 4 refs, tabs
Ud Din, Muhayy; Akbari, Aliakbar; Rosell Gratacòs, Jan
Grasping an object in unstructured and uncertain environments is a challenging task, particularly when a collision-free trajectory does not exits. High-level knowledge and reasoning processes, as well as the allowing of interaction between objects, can enhance the planning efficiency in such environments. In this direction, this study proposes a knowledge-oriented physics-based motion planning approach for a hand-arm system that uses a high-level knowledge-based reasoning to partition the wor...
Hannola, Lea; Richter, Alexander; Richter, Shahper
proposes a conceptual framework for empowering workers in industrial production environments with digitally facilitated knowledge management processes. The framework explores four concrete facets of digital advancements that apply to a wide range of knowledge processes and production strategies...
Mainz, N.; Shao, Z.; Brysbaert, M.; Meyer, A.S.
Vocabulary knowledge is central to a speaker's command of their language. In previous research, greater vocabulary knowledge has been associated with advantages in language processing. In this study, we examined the relationship between individual differences in vocabulary and language processing
Andrzej P.WIERZBICKI; Yoshiteru NAKAMORI
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.
Singh, Ravendra; Gernaey, Krist; Gani, Rafiqul
monitoring and analysis tools for a wide range of operations has made their selection a difficult, time consuming and challenging task. Therefore, an efficient and systematic knowledge base coupled with an inference system is necessary to support the optimal selection of process monitoring and analysis tools......, satisfying the process and user constraints. A knowledge base consisting of the process knowledge as well as knowledge on measurement methods and tools has been developed. An ontology has been designed for knowledge representation and management. The developed knowledge base has a dual feature. On the one...... procedures has been developed to retrieve the data/information stored in the knowledge base....
King, Christopher P.; Ferrario, Carrie R.
Drug addiction is a syndrome of dysregulated motivation, evidenced by intense drug craving and compulsive drug-seeking behavior. In the search for common neurobiological substrates of addiction to different classes of drugs, behavioral neuroscientists have attempted to determine the neural basis for a number of motivational concepts and describe how they are changed by repeated drug use. Here, we describe these concepts and summarize previous work describing three major neural systems that play distinct roles in different conceptual aspects of motivation: (1) a nigrostriatal system that is involved in two forms of instrumental learning, (2) a ventral striatal system that is involved in Pavlovian incentive motivation and negative reinforcement, and (3) frontal cortical areas that regulate decision making and motivational processes. Within striatal systems, drug addiction can involve a transition from goal-oriented, incentive processes to automatic, habit-based responding. In the cortex, weak inhibitory control is a predisposing factor to, as well as a consequence of, repeated drug intake. However, these transitions are not absolute, and addiction can occur without a transition to habit-based responding, occurring as a result of the overvaluation of drug outcomes and hypersensitivity to incentive properties of drug-associated cues. Finally, we point out that addiction is not monolithic and can depend not only on individual differences between addicts, but also on the neurochemical action of specific drug classes. PMID:26475159
Nguyen, ThanhDat; Kifor, Claudiu Vasile
DMAIC (Define, Measure, Analyze, Improve, and Control) is an important process used to enhance quality of processes basing on knowledge. However, it is difficult to access DMAIC knowledge. Conventional approaches meet a problem arising from structuring and reusing DMAIC knowledge. The main reason is that DMAIC knowledge is not represented and organized systematically. In this article, we overcome the problem basing on a conceptual model that is a combination of DMAIC process, knowledge management, and Ontology engineering. The main idea of our model is to utilizing Ontologies to represent knowledge generated by each of DMAIC phases. We build five different knowledge bases for storing all knowledge of DMAIC phases with the support of necessary tools and appropriate techniques in Information Technology area. Consequently, these knowledge bases provide knowledge available to experts, managers, and web users during or after DMAIC execution in order to share and reuse existing knowledge.
Knowledge is one of the most important assets for surviving in the modern business environment. The effective management of that asset mandates continuous adaptation by organizations, and requires employees to strive to improve the company's work processes. Organizations attempt to coordinate their unique knowledge with traditional means as well…
This paper discusses the process of building and developing comprehensive tools, techniques, support systems, and better methods of harnessing the competitive intelligence knowledge processes. The author stresses the need for building sophisticated methodological competitive intelligence knowledge acquisition, systematic collection of competitive intelligence knowledge from various sources for critical analysis, process, organization, synthesis, assessment, screening, filtering and interpreta...
McInerney, Claire R
Knowledge Management (KM) is an effort to increase useful knowledge in the organization. It is a natural outgrowth of late twentieth century movements to make organizational management and operations more effective, of higher quality, and more responsive to constituents in a rapidly changing global environment. This document traces the evolution of KM in organizations, summarizing the most influential research and literature in the field. It also presents an overview of selected common and current practices in knowledge management, including the relationship between knowledge management and de
... processing algorithm can be applied. The proactive knowledge-based tracker uses information from other sources such as digital terrain maps, radar clutter and interference maps, and target priority assessments to determine the nature...
Rahman, Azmawani Abd; Ng, Siew Imm; Sambasivan, Murali; Wong, Florence
Purpose: Training alone is not sufficient to enhance organizational effectiveness to a greater level because not all knowledge obtained from the training is properly transferred and applied to the organization. This study aims to investigate whether efforts invested by Malaysian manufacturers in employee training and knowledge transfer affect…
Søberg, Peder Veng
/methodology/approach – The paper presents a framework primarily based on knowledge management theory, which is illustrated in relation to interesting cases of four companies that are global leaders. Findings – An R&D knowledge gap still exists in China and India. Differences across business activities exist in terms......Purpose – The purpose of this paper is to investigate differences in the characteristics of knowledge, which is very important for the internationalization of different business activities. In particular, the focus is on internationalization in emerging markets such as China and India. Design...... of the characteristics of the knowledge, which is most important for the internationalization in emerging markets within multinational corporations (MNCs). The most important knowledge for the internationalization of R&D activities is more tacit than it is for manufacturing activities and international purchasing...
Knowledge management represents an emerging domain becoming more and more important. Concepts like knowledge codification and personalisation, knowledge life-cycle, social and technological dimensions, knowledge transfer and learning management are integral parts. Focus goes here in the process of knowledge transfer for the case of ad hoc teams. The social dimension of knowledge transfer plays an important role. No single individual actors involved in the process, but a collective one, representing the organisation. It is critically important for knowledge to be managed from the life-cycle point of view. A complex communication network needs to be in place to supports the process of knowledge transfer. Two particular concepts, the bridge tie and transactive memory, would eventually enhance the communication. The paper focuses on an informational communication platform supporting the collaborative work on knowledge transfer. The platform facilitates the creation of a topic language to be used in knowledge modelling, storage and reuse, by the ad hoc teams.
Pathak, Jaideep; Wikner, Alexander; Fussell, Rebeckah; Chandra, Sarthak; Hunt, Brian R.; Girvan, Michelle; Ott, Edward
A model-based approach to forecasting chaotic dynamical systems utilizes knowledge of the mechanistic processes governing the dynamics to build an approximate mathematical model of the system. In contrast, machine learning techniques have demonstrated promising results for forecasting chaotic systems purely from past time series measurements of system state variables (training data), without prior knowledge of the system dynamics. The motivation for this paper is the potential of machine learning for filling in the gaps in our underlying mechanistic knowledge that cause widely-used knowledge-based models to be inaccurate. Thus, we here propose a general method that leverages the advantages of these two approaches by combining a knowledge-based model and a machine learning technique to build a hybrid forecasting scheme. Potential applications for such an approach are numerous (e.g., improving weather forecasting). We demonstrate and test the utility of this approach using a particular illustrative version of a machine learning known as reservoir computing, and we apply the resulting hybrid forecaster to a low-dimensional chaotic system, as well as to a high-dimensional spatiotemporal chaotic system. These tests yield extremely promising results in that our hybrid technique is able to accurately predict for a much longer period of time than either its machine-learning component or its model-based component alone.
Song, X.M.; Bij, van der J.D.; Weggeman, M.C.D.P.
Knowledge application is of key importance in the development of successful new products. Knowledge application refers to an organization's timely response to technological change by utilizing the knowledge and technology generated into new products and processes. This study uses the knowledge-based
Full Text Available Humans use prior knowledge to bias decisions made under uncertainty. In this fMRI study we predicted that different brain dynamics play a role when prior knowledge is added to decisions made under perceptual vs. categorical uncertainty. Subjects decided whether shapes belonged to Category S – smoother – or Category B – bumpier – under both uncertainty conditions, with or without prior knowledge cues. When present, the prior knowledge cue, 80/20 or 50/50, indicated that 80% and 20% (or 50% and 50% were the chances that responding "S" and "B" (or vice versa would be correct. During perceptual uncertainty, shapes were degraded with noise. During categorical uncertainty, shapes were ambiguous. Adding the 80/20 cue increased activation during perceptual uncertainty in bilateral lateral occipital cortex and left middle frontal gyrus (MidFG, and decreased activity in bilateral lateral occipital cortex during categorical uncertainty. Right MidFG and other frontoparietal regions were active in all conditions. The results demonstrate that left MidFG shows activation changes, suggestive of an influence on visual cortex, that depend on the factor that makes the decisions difficult. When sensory evidence is difficult to perceive, prior knowledge increases visual cortical activity. When the sensory evidence is easy to perceive but difficult to interpret, prior knowledge decreases visual cortical activity.
...) Pacific Area Tactical Law Enforcement Team (PACAREA TACLET). The focus was on applying knowledge management innovation using the above mentioned methodology to the Law Enforcement Detachment (LEDET) Counternarcotic (CN...
Rosing, Mark von; Scheer, August-Wilhelm
The Complete Business Process Handbook is the most comprehensive body of knowledge on business processes with revealing new research. Written as a practical guide for Executives, Practitioners, Managers and Students by the authorities that have shaped the way we think and work with process today. It stands out as a masterpiece, being part of the BPM bachelor and master degree curriculum at universities around the world, with revealing academic research and insight from the leaders in the market. This book provides everything you need to know about the processes and frameworks, methods, and approaches to implement BPM. Through real-world examples, best practices, LEADing practices and advice from experts, readers will understand how BPM works and how to best use it to their advantage. Cases from industry leaders and innovators show how early adopters of LEADing Practices improved their businesses by using BPM technology and methodology. As the first of three volumes, this book represents the most comprehensive...
Vojnovic, D.; Kozuh, M.
The knowledge acquisition for probabilistic risk assessment and operational safety improvements are described. The procedure HazOp (Hazard and Operability Study) are used for hazard identification. The acquainted knowledge is condensed in the form of cause-consequence matrix which is very convenient for plant logic model start point definition. At the end, the possibility for HazOp performance support by use of Artificial Intelligence approach is considered. (author) [sl
Spilich, George J.; And Others
The way in which previously acquired knowledge affects the processing on new domain-related information was investigated. Text processing was studied in two groups differing in knowledge of the domain of baseball. A knowledge structure for the domain was constructed, and text propositions were classified. (SW)
Maruster, L; Jorna, RJ; Miksch, S; Hunter, J; Keravnou, E
A knowledge management perspective is rarely used to model a process. Using the cognitive perspective on knowledge management in which we start our analysis with events and knowledge (bottom-up) instead of with processes and units (top-down), we propose a new approach for redesigning hospital
Jung, J.; Choi, I.; Song, M.S.
Recently, interests in the notion of process-oriented knowledge management (PKM) from academia and industry have been significantly increased. Comprehensive research and development requirements along with a cogent framework, however, have not been proposed for integrating knowledge management (KM)
strategies of which are analysed and compared. These strategies have much in common and can be seen as quite successful. Some common problems also exist in relation to mismatches within and between the different knowledge bases. The differences are none the less interesting to consider. They are due......The paper deals with the learning and innovation strategies of manufacturing companies in the economies of transformation. The point of departure is the development of a theoretical framework dealing innovation, knowledge and learning. The case is two manufacturing companies in Poland, the learning...
van Kesteren, Marlieke T R; Rijpkema, Mark; Ruiter, Dirk J; Morris, Richard G M; Fernández, Guillén
mechanisms underlying acquisition of new knowledge that can be integrated into preexisting conceptual schemas and may indicate how relevant this process is for study success.
The purpose of the study is to reestablish the link between theories of organizational learning and knowledge creation – theories that in research, have been pursued as independent themes for almost two decades. Based on the literature review, I build a framework that proposes how the two streams...... build eight propositions that are used to discuss and extend the organizational learning and knowledge creation literatures and to justify the framework’s applicability. Finally, I present the managerial implications and the conclusions of the study....
宇高, 雄志; 山崎, 大智
This paper examines the Formation Process of Malaysian Modern Architecture under Influence of Nationalism,through the process of independence of Malaysia. The national style as "Malaysian national architecture" which hasengaged on background of political environment under the post colonial situation. Malaysian urban design is alsodetermined under the balance of both of ethnic culture and the national culture. In Malaysia, they decided to choosethe Malay ethnic culture as the national culture....
Full Text Available Despite a plethora of case studies in the social sciences, it is the authors' opinion that case studies remain relatively under-mined sources of expertise. Cross-case analysis is a research method that can mobilize knowledge from individual case studies. The authors propose that mobilization of case knowledge occurs when researchers accumulate case knowledge, compare and contrast cases, and in doing so, produce new knowledge. In this article, the authors present theories of how people can learn from sets of cases. Second, existing techniques for cross-case analysis are discussed. Third, considerations that enable researchers to engage in cross-case analysis are suggested. Finally, the authors introduce a novel online database: the Foresee (4C database. The purpose of the database is to mobilize case knowledge by helping researchers perform cross-case analysis and by creating an online research community that facilitates dialogue and the mobilization of case knowledge. The design of the 4C database is informed by theories of how people learn from case studies and cross-case analysis techniques. We present evidence from case study research that use of the 4C database helps to mobilize previously dormant case study knowledge to foster greater expertise. URN: urn:nbn:de:0114-fqs0801348
Tadić, Bosiljka; Dankulov, Marija Mitrović; Melnik, Roderick
In online social dynamics, a robust scale invariance appears as a key feature of collaborative efforts that lead to new social value. The underlying empirical data thus offers a unique opportunity to study the origin of self-organized criticality (SOC) in social systems. In contrast to physical systems in the laboratory, various human attributes of the actors play an essential role in the process along with the contents (cognitive, emotional) of the communicated artifacts. As a prototypical example, we consider the social endeavor of knowledge creation via Questions and Answers (Q&A). Using a large empirical data set from one of such Q&A sites and theoretical modeling, we reveal fundamental characteristics of SOC by investigating the temporal correlations at all scales and the role of cognitive contents to the avalanches of the knowledge-creation process. Our analysis shows that the universal social dynamics with power-law inhomogeneities of the actions and delay times provides the primary mechanism for self-tuning towards the critical state; it leads to the long-range correlations and the event clustering in response to the external driving by the arrival of new users. In addition, the involved cognitive contents (systematically annotated in the data and observed in the model) exert important constraints that identify unique classes of the knowledge-creation avalanches. Specifically, besides determining a fine structure of the developing knowledge networks, they affect the values of scaling exponents and the geometry of large avalanches and shape the multifractal spectrum. Furthermore, we find that the level of the activity of the communities that share the knowledge correlates with the fluctuations of the innovation rate, implying that the increase of innovation may serve as the active principle of self-organization. To identify relevant parameters and unravel the role of the network evolution underlying the process in the social system under consideration, we
Tadić, Bosiljka; Dankulov, Marija Mitrović; Melnik, Roderick
In online social dynamics, a robust scale invariance appears as a key feature of collaborative efforts that lead to new social value. The underlying empirical data thus offers a unique opportunity to study the origin of self-organized criticality (SOC) in social systems. In contrast to physical systems in the laboratory, various human attributes of the actors play an essential role in the process along with the contents (cognitive, emotional) of the communicated artifacts. As a prototypical example, we consider the social endeavor of knowledge creation via Questions and Answers (Q&A). Using a large empirical data set from one of such Q&A sites and theoretical modeling, we reveal fundamental characteristics of SOC by investigating the temporal correlations at all scales and the role of cognitive contents to the avalanches of the knowledge-creation process. Our analysis shows that the universal social dynamics with power-law inhomogeneities of the actions and delay times provides the primary mechanism for self-tuning towards the critical state; it leads to the long-range correlations and the event clustering in response to the external driving by the arrival of new users. In addition, the involved cognitive contents (systematically annotated in the data and observed in the model) exert important constraints that identify unique classes of the knowledge-creation avalanches. Specifically, besides determining a fine structure of the developing knowledge networks, they affect the values of scaling exponents and the geometry of large avalanches and shape the multifractal spectrum. Furthermore, we find that the level of the activity of the communities that share the knowledge correlates with the fluctuations of the innovation rate, implying that the increase of innovation may serve as the active principle of self-organization. To identify relevant parameters and unravel the role of the network evolution underlying the process in the social system under consideration, we
How can you improve and focus on the knowledge produced through a design project by design students? The range of skills and competencies in design education is not limited to the ability to handle different types of projects themes. In an overall perspective a master education at a university...
The key role in process management is played by the systematic analysis, measurement and improvement of processes. The imperative of continuous introduction of changes in processes is the answer to the changing conditions of competition and the great dynamics in the expectations and preferences of customers. Information related to business process should be collected and formalized in order to improve the execution of processes. In connection with the above, it may be stated that the improvem...
Telzer, Eva H; Qu, Yang; Lin, Lynda C
Self-improvement motivation, which occurs when individuals seek to improve upon their competence by gaining new knowledge and improving upon their skills, is critical for cognitive, social, and educational adjustment. While many studies have delineated the neural mechanisms supporting extrinsic motivation induced by monetary rewards, less work has examined the neural processes that support intrinsically motivated behaviors, such as self-improvement motivation. Because cultural groups traditionally vary in terms of their self-improvement motivation, we examined cultural differences in the behavioral and neural processes underlying motivated behaviors during cognitive persistence in the absence of extrinsic rewards. In Study 1, 71 American (47 females, M=19.68 years) and 68 Chinese (38 females, M=19.37 years) students completed a behavioral cognitive control task that required cognitive persistence across time. In Study 2, 14 American and 15 Chinese students completed the same cognitive persistence task during an fMRI scan. Across both studies, American students showed significant declines in cognitive performance across time, whereas Chinese participants demonstrated effective cognitive persistence. These behavioral effects were explained by cultural differences in self-improvement motivation and paralleled by increasing activation and functional coupling between the inferior frontal gyrus (IFG) and ventral striatum (VS) across the task among Chinese participants, neural activation and coupling that remained low in American participants. These findings suggest a potential neural mechanism by which the VS and IFG work in concert to promote cognitive persistence in the absence of extrinsic rewards. Thus, frontostriatal circuitry may be a neurobiological signal representing intrinsic motivation for self-improvement that serves an adaptive function, increasing Chinese students' motivation to engage in cognitive persistence. Copyright © 2017 Elsevier Inc. All rights
Scholars studying the global governance of education have noted the increasingly important role corporations play in educational policy making. I contribute to this scholarship by examining the Assessment and Teaching of twenty-first century skills (ATC21S™) project, a knowledge production apparatus operating under cognitive capitalism. I analyze…
Atai, Mahmood Reza; Shafiee, Zahra
The present study investigated the pedagogical knowledge base underlying EFL teachers' provision of oral corrective feedback in grammar instruction. More specifically, we explored the consistent thought patterns guiding the decisions of three Iranian teachers regarding oral corrective feedback on grammatical errors. We also examined the potential…
Martinez, Luis F; Ferreira, Aristides I; Can, Amina B
Based on Szulanski's knowledge transfer model, this study examined how the communicational, motivational, and sharing of understanding variables influenced knowledge transfer and change processes in small- and medium-sized enterprises, particularly under projects developed by funded programs. The sample comprised 144 entrepreneurs, mostly male (65.3%) and mostly ages 35 to 45 years (40.3%), who filled an online questionnaire measuring the variables of "sharing of understanding," "motivation," "communication encoding competencies," "source credibility," "knowledge transfer," and "organizational change." Data were collected between 2011 and 2012 and measured the relationship between clients and consultants working in a Portuguese small- and medium-sized enterprise-oriented action learning program. To test the hypotheses, structural equation modeling was conducted to identify the antecedents of sharing of understanding, motivational, and communicational variables, which were positively correlated with the knowledge transfer between consultants and clients. This transfer was also positively correlated with organizational change. Overall, the study provides important considerations for practitioners and academicians and establishes new avenues for future studies concerning the issues of consultant-client relationship and the efficacy of Government-funded programs designed to improve performance of small- and medium-sized enterprises. © The Author(s) 2016.
Full Text Available The aim of this article is to contribute to the literature by identifying and analyzing possible combinations between critical knowledge management processes (absorptive capacity, knowledge transfer and knowledge application, which will result in the creation of superior customer value. The main research question this work addresses is: given that customers are demanding each day a greater value, how can organizations create more value to customers from their knowledge management processes and the combination of them? We propose that the combination of the three knowledge management processes builds a dynamic or higher-order capability that results in the creation of superior value for customers.
Vojnovic, D; Kozuh, M [Inst. Jozef Stefan, Ljubljana (Slovenia)
The knowledge acquisition for probabilistic risk assessment and operational safety improvements are described. The procedure HazOp (Hazard and Operability Study) are used for hazard identification. The acquainted knowledge is condensed in the form of cause-consequence matrix which is very convenient for plant logic model start point definition. At the end, the possibility for HazOp performance support by use of Artificial Intelligence approach is considered. (author) [Slovenian] V clanku se obravnava zbiranje znanja za potrebe verjetnostne ocene tveganja in izboljsanja obratovalne varnosti. Opisan je postopek za razpoznavanje nevarnosti po metodi HazOp. Zbrano znanje je predstavljeno v obliki vzrocno posledicne matrike, kar je primerna oblika za nadaljno uporabo pri logicnem modeliranju objekta. Ravno tako je obravnavana moznost uporabe diagnosticnih metod (umetna inteligenca) pri HazOp analizi. [author].
Agora: A proposal to overcome the limitations of the current knowledge creation process ======================================================================================= By Scientistsfive () Abstract: The knowledge creation process is broken and can be improved by a combination of currently emerging tools. The rationale for this proposal is the notion that the current scientific process is not optimal: * Artificially staged competitions (g...
Full Text Available The complexity and variability of the modern economy means that the informationbecomes a key resource, essential for the proper functioning of anyenterprise and in the broader sense of the country and the national economy.Currently, practically all areas of modern economics are grappling withthe problem of information management, both in theory and practice. It isespecially visible in the attempts to support knowledge management in theareas, which are considered core from the viewpoint of increasing marketcompetitiveness of the company. Knowledge management in the field of company’sinnovative potential or in the area of intellectual capital may serve asan example. This situation forces the search for new solutions of knowledgemanagement in the field of research and evaluation of the innovative potentialof companies. The main purpose of this article is to present an Internetplatform for innovation audit, as a tool which supports knowledge management.An additional goal of this article is to present the preliminary results ofa research carried out by means of the described tools.
Alduchin-Quintero, G.; Contero, Manuel
This article focuses on analysing the feasibility of using social tagging as a tool for knowledge collection and retrieval in the context of the product development process (PDP). This process is a social activity that involves groups of individuals who share a common goal: to design a product . Traditional knowledge-based systems (KBS) are not very well suited to capture the tacit knowledge that is embedded in this process. Social tagging is proposed in this article as the mechanism to exte...
van Velzen, Joke H.
There were two purposes for this mixed methods study: to investigate (a) the realistic meaning of awareness and understanding as the underlying constructs of general knowledge of the learning process and (b) a procedure for data consolidation. The participants were 11th-grade high school and first-year university students. Integrated data…
The growing importance of logistics as well as the increasing dynamic complexity of markets, technologies, and customer needs has brought great challenges to logistics. In order to focus on their core competency in such a competitive environment, more and more companies have outsourced a part or the entirety of the logistics process to third party logistics (3PL) service providers. 3PL has played a crucial role in managing logistics processes within supply chain management. Logistics processe...
essay test were expected, but spend more time processing lower-- level information than if a recognition test were expected. Furthermore, processing ...shifts ii tle amount of time devoted to reading information at various levels in a t.x, structure, rather than dramatic differences in processing patt...structures ( Craik & Lockhart , 1972; Goetz, Schallert, Reynolds, & Radin, 1983). If new information is compatible with existing memory structures, it is
Full Text Available The goal of Open Knowledge Maps is to create a visual interface to the world’s scientific knowledge. The base for this visual interface consists of so-called knowledge maps, which enable the exploration of existing knowledge and the discovery of new knowledge. Our open source knowledge mapping software applies a mixture of summarization techniques and similarity measures on article metadata, which are iteratively chained together. After processing, the representation is saved in a database for use in a web visualization. In the future, we want to create a space for collective knowledge mapping that brings together individuals and communities involved in exploration and discovery. We want to enable people to guide each other in their discovery by collaboratively annotating and modifying the automatically created maps. Das Ziel von Open Knowledge Map ist es, ein visuelles Interface zum wissenschaftlichen Wissen der Welt bereitzustellen. Die Basis für die dieses Interface sind sogenannte “knowledge maps”, zu deutsch Wissenslandkarten. Wissenslandkarten ermöglichen die Exploration bestehenden Wissens und die Entdeckung neuen Wissens. Unsere Open Source Software wendet für die Erstellung der Wissenslandkarten eine Reihe von Text Mining Verfahren iterativ auf die Metadaten wissenschaftlicher Artikel an. Die daraus resultierende Repräsentation wird in einer Datenbank für die Anzeige in einer Web-Visualisierung abgespeichert. In Zukunft wollen wir einen Raum für das kollektive Erstellen von Wissenslandkarten schaffen, der die Personen und Communities, welche sich mit der Exploration und Entdeckung wissenschaftlichen Wissens beschäftigen, zusammenbringt. Wir wollen es den NutzerInnen ermöglichen, einander in der Literatursuche durch kollaboratives Annotieren und Modifizieren von automatisch erstellten Wissenslandkarten zu unterstützen.
Prebiotic stability tests on laminaran oligosaccharide under food processing conditions were urgently performed to determine the ability of prebiotics deal with processing. Laminaran, oligosaccharide is produced from enzymatic hydrolysis. To further apply this prebiotic, it is necessary to test its performance on food processing. Single prebiotic or in combination with probiotic can improve human digestive health. The effectiveness evaluation of prebiotic should be taken into account in regards its chemical and functional stabilities. This study aims to investigate the stability of laminaran, oligosaccharide under food processing condition.
Cheng, Po-Hsun; Chen, Sao-Jie; Lai, Jin-Shin; Lai, Feipei
This paper illustrates a feasible health informatics domain knowledge management process which helps gather useful technology information and reduce many knowledge misunderstandings among engineers who have participated in the IBM mainframe rightsizing project at National Taiwan University (NTU) Hospital. We design an asynchronously sharing mechanism to facilitate the knowledge transfer and our health informatics domain knowledge management process can be used to publish and retrieve documents dynamically. It effectively creates an acceptable discussion environment and even lessens the traditional meeting burden among development engineers. An overall description on the current software development status is presented. Then, the knowledge management implementation of health information systems is proposed.
Shelby, Kenneth R., Jr.
Systems engineering teams' value-creation for enterprises is slower than possible due to inefficiencies in communication, learning, common knowledge collaboration and leadership conduct. This dissertation outlines the surrounding people, process and technology dimensions for higher performing engineering teams. It describes a true experiment…
Full Text Available Process innovation plays a vital role in the manufacture realization of increasingly complex new products, especially in the context of sustainable development and cleaner production. Knowledge-based innovation design can inspire designers’ creative thinking; however, the existing scattered knowledge has not yet been properly captured and organized according to Computer-Aided Process Innovation (CAPI. Therefore, this paper proposes an integrated approach to tackle this non-trivial issue. By analyzing the design process of CAPI and technical features of open innovation, a novel holistic paradigm of process innovation knowledge capture based on collective intelligence (PIKC-CI is constructed from the perspective of the knowledge life cycle. Then, a multi-source innovation knowledge fusion algorithm based on semantic elements reconfiguration is applied to form new public knowledge. To ensure the credibility and orderliness of innovation knowledge refinement, a collaborative editing strategy based on knowledge lock and knowledge–social trust degree is explored. Finally, a knowledge management system MPI-OKCS integrating the proposed techniques is implemented into the pre-built CAPI general platform, and a welding process innovation example is provided to illustrate the feasibility of the proposed approach. It is expected that our work would lay the foundation for the future knowledge-inspired CAPI and smart process planning.
Nissen, Mark E.; Rendon, Rene G.
Acquisition Research Program Sponsored Report Series Approved for public release; distribution is unlimited. The efficacy of defense acquisition is highly dependent upon acquisition workforce quality, but assessing such quality remains a major challenge, particularly given the knowledge-intensive and dynamic nature of acquisition organizations and processes. Hence, it is difficult to gauge?much less predict?the impact of leadership interventions in terms of policy, process, reg...
Intelligence Artificielle , France, May 2001, p. 109- 118 [Barrière, 2001] -----. “Investigating the Causal Relation in Informative Texts”. Terminology, 7:2...out of the flood of information, military have to create new ways of processing sensor and intelligence information, and of providing the results to...have to create new ways of processing sensor and intelligence information, and of providing the results to commanders who must take timely operational
Stull, Laura G; McGrew, John H; Salyers, Michelle P
Processes underlying success and failure in assertive community treatment (ACT), a widely investigated treatment model for persons with severe mental illness, are poorly understood. The purpose of the current study was to examine processes in ACT by (1) understanding how consumers and staff describe the processes underlying treatment success and failure and (2) comparing processes identified by staff and consumers. Investigators conducted semi-structured interviews with 25 staff and 23 consumers from four ACT teams. Both staff and consumers identified aspects of the ACT team itself as the most critical in the process of consumer success. For failure, consumers identified consumer characteristics as most critical and staff identified lack of social relationships. Processes underlying failure were not viewed as merely the opposite of processes underlying success. In addition, there was notable disagreement between staff and consumers on important processes. Findings overlap with critical ingredients identified in previous studies, including aspects of the ACT team, social involvement and employment. In contrast to prior studies, there was little emphasis on hospitalizations and greater emphasis on not abusing substances, obtaining wants and desires, and consumer characteristics.
This paper probes the mechanisms of the dispute resolution process under the World Trade Organisation (WTO) and the General Agreement on Tariff and Trade (GATT). It tries to analyse the evolution of the dispute process which was initially based on diplomatic procedures and gives an account of its evolution and ...
Vlaar, M.A.J.|info:eu-repo/dai/nl/412585669; Sanders, T.J.M.|info:eu-repo/dai/nl/075243911; Welie, Camille
Coherence markers such as connectives positively influence the reading process and reading comprehension for most, but not all, readers. Metacognitive knowledge, concerning strategies to regulate the reading process, may explain these individual differences. We investigated how metacognitive
Full Text Available Recruitment of the most appropriate employees and their retention are the immense challenges for the HR department of most of the industries. Every year IT companies recruit fresh graduates through their campus selection programs. Usually industries examine the skills of the candidate by conducting tests, group discussion and number of interviews. This process requires enormous amount of effort and investment. During each phase of the recruitment process, candidates are filtered based on some performance criteria. The problem domain is complex and the aspects of candidates that impact the recruitment process is not explicit. The intelligence of the recruitment process is spread among the domain experts and extracted through knowledge acquisition techniques. This research focuses on investigating the underlying criteria and tries to capitalize on the existing patterns, to minimize the effort made during the recruitment process. The approach here is to provide the insights through in-depth empirical characterization and evaluation of decision trees for the recruitment problem domain. Experiments were conducted with the data collected from an IT industry to support their hiring decisions. Pruned and unpruned trees were constructed using ID3, C4.5 and CART algorithms. It was observed that the performance of the C4.5 algorithm is high. The recruitment process differs for each industry based on the nature of the projects carried out. Experiments were conducted to determine the attributes that best fits the problem domain. Using the constructed decision trees discussions were made with the domain experts to deduce viable decision rules.
The foreign language vocabulary learning research literature often attributes strong mnemonic potency to the cognitive processing of meaning when learning words. Routinely cited as support for this idea are experiments by Craik and Tulving (C&T) demonstrating superior recognition and recall of studied words following semantic tasks ("deep"…
Batzias, Dimitris F.; Ifanti, Konstantina
Process simulation models are usually empirical, therefore there is an inherent difficulty in serving as carriers for knowledge acquisition and technology transfer, since their parameters have no physical meaning to facilitate verification of the dependence on the production conditions; in such a case, a 'black box' regression model or a neural network might be used to simply connect input-output characteristics. In several cases, scientific/mechanismic models may be proved valid, in which case parameter identification is required to find out the independent/explanatory variables and parameters, which each parameter depends on. This is a difficult task, since the phenomenological level at which each parameter is defined is different. In this paper, we have developed a methodological framework under the form of an algorithmic procedure to solve this problem. The main parts of this procedure are: (i) stratification of relevant knowledge in discrete layers immediately adjacent to the layer that the initial model under investigation belongs to, (ii) design of the ontology corresponding to these layers, (iii) elimination of the less relevant parts of the ontology by thinning, (iv) retrieval of the stronger interrelations between the remaining nodes within the revised ontological network, and (v) parameter identification taking into account the most influential interrelations revealed in (iv). The functionality of this methodology is demonstrated by quoting two representative case examples on wastewater treatment.
Machikita, Tomohiro; Ueki, Yasushi
) and estimated statistical models for the relationship between face-to-face interactions within a supply chain and QCD (Quality, Cost, Delivery). Findings from in-depth interviews with Japanese firms in emerging economies complement the quantitative analysis. Findings The incidence of face-to-face interactions...... between two firms within a production chain via resident engineers significantly explains the variation in performance of total quality management among firms in Vietnam under controlling vertical ownership within a chain. Since the authors could find no significant correlations between transactions...
Torres de Lacerda, Ana Catarina; Lucena de Vasconcelos, Maria Gorete; Nascimento de Alencar, Eloine; Osório, Mônica Maria; Pontes, Cleide Maria
to understand the ways in which adolescent fathers participate in the breast feeding process in the family environment in North-eastern Brazil. a descriptive, exploratory, qualitative study was undertaken involving 10 couples with infants aged 6-8 months living in a single community in Recife, Pernambuco, Brazil. Data were collected using semi-structured interviews with questions to guide the interviewer. Data were analysed using thematic content analysis, and interpreted under the theoretical reference of being an adolescent father within the context of breast feeding. from the data collected, three themes were identified: knowledge of the benefits of breast feeding for the child's health; discontinued participation of the father in breast feeding during the pregnancy-childbearing cycle; and exclusion of the adolescent father from the breast feeding process. The adolescent fathers knew about the benefits of breast feeding in terms of the child's health, but did not mention benefits for the mother, the family or society. For some adolescent fathers, their participation in the breast feeding process started during pregnancy, whereas for others, it was only initiated after the infant was born. One of the fathers was prevented, by his wife and mother-in-law, from participating in the breast feeding process. the involvement of adolescent fathers in the breast feeding process oscillated during the pregnancy-childbearing cycle. This may be due to the patriarchal cultural heritage, Brazilian paternity laws, and the fact that these fathers were adolescents. This study showed that adolescent parents were knowledgeable about breast feeding. Finally, fathers want a new model of parenting in which the man participates in child care. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.
Tax, Tycho; Antich, Jose Luis Diez; Purwins, Hendrik
to learn the commonly-used log-scaled mel-spectrogram transformation. Secondly, we demonstrate that upon initializing the first layers of an end-to-end CNN classifier with the learned transformation, convergence and performance on the ESC-50 environmental sound classification dataset are similar to a CNN......-based model trained on the highly pre-processed log-scaled mel-spectrogram features....
Full Text Available Survival of a firm in industry will be primarily determined by how efficient it can harness competitive advantage from innovation process. Innovation process itself has strong correlation with knowledge creation, and to understand about innovation, people must understand about knowledge creation process. By successfully harnessing knowledge, people can use those resources to create some innovation product or service that in the end will provide competitive edge into the company. Unfortunately, not much research can be sought to provide more insight on the creation of knowledge inside a company. This paper explores about interesting concept of knowledge creation in Japanese term, which is called as “ba”. Ba concept can be used to describe how tacit knowledge and casual knowledge can be harnessed into a useful knowledge which in turn will be transformed into innovation process. This paper will briefly give some introduction about ba concept and how it is related to innovation process. A brief study of one multinational company will be used to describe how concept of ba is applied in understanding the success story of innovation from knowledge creation.
Javier Cárcel Carrasco
Full Text Available Knowledge management, implanted in some areas of the company, is usually forgotten in the own service organizations is one of the activities requiring a deep knowledge of the physical assets of the company, that influences the own reliability of the processes of exploitation, the productivity of the company and is where higher level of tacit knowledge based on the experience of the operators. This article is a review of the literature, marking processes, dimensions and tools that can be used for the management of knowledge in the field of industrial maintenance.
Brand, Matthias; Schiebener, Johannes; Pertl, Marie-Theres; Delazer, Margarete
Recent models on decision making under risk conditions have suggested that numerical abilities are important ingredients of advantageous decision-making performance, but empirical evidence is still limited. The results of our first study show that logical reasoning and basic mental calculation capacities predict ratio processing and that ratio processing predicts decision making under risk. In the second study, logical reasoning together with executive functions predicted probability processing (numeracy and probability knowledge), and probability processing predicted decision making under risk. These findings suggest that increasing an individual's understanding of ratios and probabilities should lead to more advantageous decisions under risk conditions.
Berling, Trine Villumsen
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...... 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...... 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...
Ma, Li; Wang, Xuan; Ma, Lin; Wang, Man-yuan; Qiu, Feng
The aim of this study was to elucidate the scientific connotation of Bombyx Batryticatus processing with wheat bran under high temperature. The contents of soluble protein extracted from Bombyx Batryticatus and its processed products and the limited content of AFT in Bombyx Batryticatus and the processed one were compared. The concentration of protein was measured with the Bradford methods and the difference of protein between Bombyx Batryticatus and its processed products was compared by SDS-PAGE analysis. Aflatoxin B1, B2, G1, and G2 were determined by reversed-phase HPLC. The results showed that the soluble protein content of Bombyx Batryticatus and its processed products were (47.065 +/- 0.249), (29.756 +/- 1.961) mg x g(-1), correspondingly. Analysis of protein gel electrophoresis showed that there were no significant differences between the crude and processed one in protein varieties. 6 bands were detected: 31.90, 26.80, 18.71, 15.00, 10.18, 8.929 kDa. Below 10 kDa, the color of bands of the processed one was deeper than the crude one, which demonstrate that macromolecular protein was degradated into micromolecule. The content of AFG1, AFB1, AFG2, AFB2 were 0.382, 0.207, 0.223, 0.073 g x kg(-1), not exceeded 5 microg x kg(-1) while the processed one was not detected. Through processing with wheat bran under high temperature, the content of soluble protein in Bombyx Batryticatus decreased, the processing purpose for alleviating drug property was achieved. Meanwhile, the limited content of aflatoxins were reduced or cleared by processing procedure or absorbed by processing auxillary material, adding the safety of the traditional Chinese Medicine. In conclusion, as a traditional processing method, bran frying Bombyx Batryticatus was scientific and reasonable.
Wang, Gaojian; Ascheid, Gerd; Wang, Yanlu; Hanay, Oner; Negra, Renato; Herrmann, Matthias; Wehn, Norbert
Focus of the article is on achieving maximum data rates under a processing energy constraint. For a given amount of processing energy per information bit, the overall power consumption increases with the data rate. When targeting data rates beyond 100 Gb/s, the system's overall power consumption soon exceeds the power which can be dissipated without forced cooling. To achieve a maximum data rate under this power constraint, the processing energy per information bit must be minimized. Therefore, in this article, suitable processing efficient transmission schemes together with energy efficient architectures and their implementations are investigated in a true cross-layer approach. Target use cases are short range wireless transmitters working at carrier frequencies around 60 GHz and bandwidths between 1 GHz and 10 GHz.
Kamaleswaran, Rishikesan; McGregor, Carolyn
This paper presents in detail the component of the Complex Business Process for Stream Processing framework that is responsible for integrating complex business processes to enable knowledge-driven Clinical Decision Support System (CDSS) recommendations. CDSSs aid the clinician in supporting the care of patients by providing accurate data analysis and evidence-based recommendations. However, the incorporation of a dynamic knowledge-management system that supports the definition and enactment of complex business processes and real-time data streams has not been researched. In this paper we discuss the process web service as an innovative method of providing contextual information to a real-time data stream processing CDSS.
Diemers, Agnes D.; van de Wiel, Margje W. J.; Scherpbier, Albert J. J. A.; Baarveld, Frank; Dolmans, Diana H. J. M.
CONTEXT: Medical experts have access to elaborate and integrated knowledge networks consisting of biomedical and clinical knowledge. These coherent knowledge networks enable them to generate more accurate diagnoses in a shorter time. However, students' knowledge networks are less organised and
Kneller, Wendy; Hobbs, Malcolm
Previous research has consistently demonstrated that inert gas (nitrogen) narcosis affects free recall but not recognition memory in the depth range of 30 to 50 meters of sea water (msw), possibly as a result of narcosis preventing processing when learned material is encoded. The aim of the current research was to test this hypothesis by applying a levels of processing approach to the measurement of free recall under narcosis. Experiment 1 investigated the effect of depth (0-2 msw vs. 37-39 msw) and level of processing (shallow vs. deep) on free recall memory performance in 67 divers. When age was included as a covariate, recall was significantly worse in deep water (i.e., under narcosis), compared to shallow water, and was significantly higher in the deep processing compared to shallow processing conditions in both depth conditions. Experiment 2 demonstrated that this effect was not simply due to the different underwater environments used for the depth conditions in Experiment 1. It was concluded memory performance can be altered by processing under narcosis and supports the contention that narcosis affects the encoding stage of memory as opposed to self-guided search (retrieval).
Full Text Available This research was a case study to evaluate the effect of organizational culture on knowledge management processes implementation in Technology & Deputy Tax Planning Agency was done by Survey Method. Population of the study was experts in Technology & Deputy Tax planning of the organization. Research tools included two questionnaires: the organizational culture profile and the processes of knowledge management. The first questionnaire has surveyed the seven components of organizational culture (competitiveness, social responsibility, supportiveness, innovation, emphasis on rewards, performance orientation, and stability. The second has explored six processes such as creation, capture, organization, storage, dissemination and application of knowledge. The results of this research showed that according to the experts the components of organizational culture and knowledge management were in the intermediate level. Between each of the seven components of organizational culture was 70% positive and significant relationship with knowledge management processes. Also, among each of the seven components of organizational culture was positive and significant relationship with knowledge management processes. Regression analysis gave the same result that only two components of social responsibility and performance orientation in predicting the changing role of knowledge management processes have been effective.
Andersen, Simone Nyholm; Broberg, Ole
Participatory simulation (PS) is a method to involve workers in simulating and designing their own future work system. Existing PS studies have focused on analysing the outcome, and minimal attention has been devoted to the process of creating this outcome. In order to study this process, we suggest applying a knowledge creation perspective. The aim of this study was to develop a framework describing the process of how ergonomics knowledge is created in PS. Video recordings from three projects applying PS of hospital work systems constituted the foundation of process mining analysis. The analysis resulted in a framework revealing the sources of ergonomics knowledge creation as sequential relationships between the activities of simulation participants sharing work experiences; experimenting with scenarios; and reflecting on ergonomics consequences. We argue that this framework reveals the hidden steps of PS that are essential when planning and facilitating PS that aims at designing work systems. Practitioner Summary: When facilitating participatory simulation (PS) in work system design, achieving an understanding of the PS process is essential. By applying a knowledge creation perspective and process mining, we investigated the knowledge-creating activities constituting the PS process. The analysis resulted in a framework of the knowledge-creating process in PS.
Naveh-Benjamin, Moshe; Guez, Jonathan; Hara, Yoko; Brubaker, Matthew S; Lowenschuss-Erlich, Iris
Divided attention (DA) at encoding has been shown to significantly disrupt later memory for the studied information. However, what type of processing gets disrupted during DA remains unresolved. In this study, we assessed the degree to which strategic effortful processes are affected under DA by comparing the effects of DA at encoding under intentional and pure incidental learning instructions. In three experiments, participants studied list of words or word pairs under either full or divided attention. Results of three experiments, which used different methodologies, converged to show that the effects of DA at encoding reduce memory performance to the same degree under incidental and intentional learning. Secondary task performance indicated that encoding under intentional learning instructions was more effortful than under incidental learning instructions. In addition, the results indicated enhanced attention to the initial appearance of the words under both types of learning instructions. Results are interpreted to imply that other processes, rather than only strategic effortful ones, might be affected by DA at encoding.
Dillon, Ronna F.
Undergraduates were given complex figural analogies items, and eye movements were observed under three types of feedback: (1) elaborate feedback; (2) subjects verbalized their thinking and application of rules; and (3) no feedback. Both feedback conditions enhanced the rule-governed information processing during inductive reasoning. (Author/GDC)
Uglov, V. V.; Kvasov, N. T.; Shimanski, V. I.; Safronov, I. V.; Komarov, N. D.
The paper presents detailed investigations of dynamic processes occurring in nanostructured Si(Fe) material under the radiation exposure, namely: heating, thermoelastic stress generation, elastic disturbances of the surrounding medium similar to weak shock waves, and dislocation generation. The performance calculations are proposed for elastic properties of the nanostructured material with a glance to size effects in nanoparticles.
Full text: This presentation provides basic information about the development of staff’s knowledge management of Nuclear Regulatory Authority of Slovak Republic. It is a case study about implementation of knowledge management as process to the integrated management system for Slovak regulatory body. (author
Blömeke, Sigrid; Jenßen, Lars; Grassmann, Marianne; Dunekacke, Simone; Wedekind, Hartmut
Data about processes and outcomes of preschool teacher education is scarce. This paper examines the opportunities to learn (OTL) of prospective preschool teachers (N = 1,851) at different types and stages of preschool teacher education and their relation to general pedagogical knowledge (GPK), mathematics pedagogical content knowledge (MPCK), and…
Stofflett, Rene Therese
Investigates the knowledge of elementary school teacher candidates on rock-cycle processes. Three different instructional interventions were used to improve their knowledge: (1) conceptual-change teaching; (2) traditional didactic teaching; and (3) microteaching. The conceptual-change group showed the most growth in understanding, supporting…
Reifman, J.; Briggs, L.L.; Wei, T.Y.C.
In this paper we present a methodology for identifying faulty component candidates of process malfunctions through basic physical principles of conservation, functional classification of components and information from the process schematics. The basic principles of macroscopic balance of mass, momentum and energy in thermal hydraulic control volumes are applied in a novel approach to incorporate deep knowledge into the knowledge base. Additional deep knowledge is incorporated through the functional classification of process components according to their influence in disturbing the macroscopic balance equations. Information from the process schematics is applied to identify the faulty component candidates after the type of imbalance in the control volumes is matched against the functional classification of the components. Except for the information from the process schematics, this approach is completely general and independent of the process under consideration. The use of basic first-principles, which are physically correct, and the process-independent architecture of the diagnosis procedure allow for the verification and validation of the system. A prototype process diagnosis expert system is developed and a test problem is presented to identify faulty component candidates in the presence of a single failure in a hypothetical balance of plant of a liquid metal nuclear reactor plant
In the increasingly dynamic environment of information technology, it has become imperative that organizations continue to seek ways to effectively capture and measure knowledge in order to survive...
It seems therefore that knowledge from the Arts and Humanities lacks that quality. .... deal of power that influences decision making processes within the political and economic domains. ..... 2001). Nietzsche's stance on morality is anti-realist.
Naeve, Ambjorn; Yli-Luoma, Pertti; Kravcik, Milos; Lytras, Miltiadis
Naeve, A., Yli-Luoma, P., Kravcik, M., & Lytras, M. D. (2008). A modelling approach to study learning processes with a focus on knowledge creation. International Journal Technology Enhanced Learning, 1(1/2), 1–34.
Cámara-Leret, Rodrigo; Paniagua-Zambrana, Narel; Balslev, Henrik; Macía, Manuel J.
A main objective of ethnobotany is to document traditional knowledge about plants before it disappears. However, little is known about the coverage of past ethnobotanical studies and thus about how well the existing literature covers the overall traditional knowledge of different human groups. To bridge this gap, we investigated ethnobotanical data-collecting efforts across four countries (Colombia, Ecuador, Peru, Bolivia), three ecoregions (Amazon, Andes, Chocó), and several human groups (including Amerindians, mestizos, and Afro-Americans). We used palms (Arecaceae) as our model group because of their usefulness and pervasiveness in the ethnobotanical literature. We carried out a large number of field interviews (n = 2201) to determine the coverage and quality of palm ethnobotanical data in the existing ethnobotanical literature (n = 255) published over the past 60 years. In our fieldwork in 68 communities, we collected 87,886 use reports and documented 2262 different palm uses and 140 useful palm species. We demonstrate that traditional knowledge on palm uses is vastly under-documented across ecoregions, countries, and human groups. We suggest that the use of standardized data-collecting protocols in wide-ranging ethnobotanical fieldwork is a promising approach for filling critical information gaps. Our work contributes to the Aichi Biodiversity Targets and emphasizes the need for signatory nations to the Convention on Biological Diversity to respond to these information gaps. Given our findings, we hope to stimulate the formulation of clear plans to systematically document ethnobotanical knowledge in northwestern South America and elsewhere before it vanishes. PMID:24416449
Gonzalez, F.; Spekkens, P.
The process by which bulk water solutes are concentrated under tubesheet sludge piles in nuclear steam generators was investigated in the laboratory under simulated CANDU operating conditions. Concentration rates were found to depend on the tube heat flux and pile depth, although beyond a critical depth the concentration efficiency decreased. This efficiency could be expressed by a concentration coefficient, and was found to depend also on the sludge pile porosity. Solute concentration profiles in the sludge pile suggested that the concentration mechanism in a high-porosity/permeability pile is characterized by boiling mainly near or at the tube surface, while in low-porosity piles, the change of phase may also become important in the body of the sludge pile. In all cases, the full depth of the pile was active to some extent in the concentration process. As long as the heat transfer under the pile was continued, the solute remained under the pile and slowly migrated toward the bottom. When the heat transfer was stopped, the solute diffused back into the bulk solution at a rate slower than that of the concentration process
Full Text Available Purpose: This paper is the result of an investigation performed in northwest Mexico with the objective to analyze and diagnose knowledge management (KM processes in small and midsize restaurants. The main purpose of this study was to identify the present state of KM processes in these organizations as a way to identify improvement opportunities as well as to define facilitators and barriers that could difficult the implementation of KM initiatives.Design/methodology/approach: The study was performed in 12 restaurants and two types of questionnaires were applied. The questionnaires were applied to managers and personnel. The questionnaires analyzed knowledge Identification/location, Acquisition/learning, Development, Distribution/transference, Utilization/Application, Preservation/maintenance, and Assessment/valuation.Findings: We found that the respondents agreed that five of the GC processes have an acceptable level of development, while less developed processes were the Preservation/maintenance and Assessment/valuation of knowledge. On the other hand, the main facilitators to implementing KM initiatives are the availability of entrepreneurs to participate, staff responsive to the needs of the company, and staff is willing to share their knowledge. The main barriers are resistance to change, low level of knowledge in the use of technology by some members of the organization; difficulty accepting a strategic plan including knowledge management and unwillingness to document good practices.Originality/value: It is a novel study in Latin America, since no similar work in this productive sector has been found. Additionally, the study has a methodological approach that simultaneously addresses the analysis of the processes of knowledge management, and the identification of facilitators and barriers to implementing knowledge management initiatives.
Strasser, Josef; Gruber, Hans
An important part of learning processes in the professional development of counselors is the integration of declarative knowledge and professional experience. It was investigated in-how-far mental health counselors at different levels of expertise (experts, intermediates, novices) differ in their availability of experience-based knowledge structures. Participants were prompted with 20 client problems. They had to explain those problems, the explanations were analyzed using think-aloud protocols. The results show that experts' knowledge is organized in script-like structures that integrate declarative knowledge and professional experience and help experts in accessing relevant information about cases. Novices revealed less integrated knowledge structures. It is concluded that knowledge restructuring and illness script formation are crucial parts of the professional learning of counselors.
Foss, Nicolai Juul; Lyngsie, Jacob; A. Zahra, Shaker
involving 536 Danish firms shows that the use of external knowledge sources is positively associated with opportunity exploitation, but the strength of this association is significantly influenced by organizational designs that enable the firm to access external knowledge during the process of exploiting......Research highlights the role of external knowledge sources in the recognition of strategic opportunities, but is less forthcoming with respect to the role of such sources during the process of exploiting or realizing opportunities. We build on the knowledge-based view to propose that realizing...... opportunities often involves significant interactions with external knowledge sources. Organizational design can facilitate a firm’s interactions with these sources, while achieving coordination among organizational members engaged in opportunity exploitation. Our analysis of a double-respondent survey...
Foss, Nicolai Juul; Lyngsie, Jacob; Zahra, Shaker A.
involving 536 Danish firms shows that the use of external knowledge sources is positively associated with opportunity exploitation, but the strength of this association is significantly influenced by organizational designs that enable the firm to access external knowledge during the process of exploiting......Research highlights the role of external knowledge sources in the recognition of strategic opportunities but is less forthcoming with respect to the role of such sources during the process of exploiting or realizing opportunities. We build on the knowledge-based view to propose that realizing...... opportunities often involves significant interactions with external knowledge sources. Organizational design can facilitate a firm's interactions with these sources, while achieving coordination among organizational members engaged in opportunity exploitation. Our analysis of a double-respondent survey...
Shankar, R.; Paradiso, T.J.; Lane, S.S.; Quinn, J.R.
Ultrasonic digital data were collected from underclad cracks in sample pressure vessel specimen blocks. These blocks were weld cladded under different processes to simulate actual conditions in US Pressure Water Reactors. Each crack was represented by a flaw-echo dynamic curve which is a plot of the transducer motion on the surface as a function of the ultrasonic response into the material. Crack depth sizing was performed by identifying in the dynamic curve the crack tip diffraction signals from the upper and lower tips. This paper describes the experimental procedure, digital signal processing methods used and algorithms developed for crack depth sizing
Ieumwananonthachai, Arthur; Wah, Benjamin W.
A statistical method was developed previously for improving process mapping heuristics. The method systematically explores the space of possible heuristics under a specified time constraint. Its goal is to get the best possible heuristics while trading between the solution quality of the process mapping heuristics and their execution time. The statistical selection method is extended to take into consideration the variations in the amount of time used to evaluate heuristics on a problem instance. The improvement in performance is presented using the more realistic assumption along with some methods that alleviate the additional complexity.
Full Text Available The group-buying is the modern business of selling in the uncertain market. With an objective to minimize costs for sellers arising from ordering and reordering, we present in this paper the group buying inventory model, with the demand governed by a Poisson process and the product sale distributed as Binomial distribution. The inventory level is under continuous review, while the lead time is fixed. A numerical example is illustrated.
Full Text Available The dynamics of changes taking place in the environment of organizations encourages them to design and implement internal changes allowing to sustain the balance between the organizations and their environment. These changes concern the formulation of the main goal of an organization, process and structural solutions, management concept, relations with clients, a different look at resources, using knowledge as a source of innovation etc. One of the conditions for the functioning and development of contemporary organizations is systemic utilization of knowledge for solving the emerging problems, including the creation of innovations. Satisfying this condition requires using knowledge in management. The purpose of this work is to show that knowledge plays a fundamental role in the processes of generating and implementing innovation, that’s why the process of creating innovation has to be manager in a rational way, according to the proposed models.
Lund, Jens Hansen
Danish research (Hansen 2009; Lund 2012) have shown, that the basic professional knowledge of the profession of teachers (theoretical and philosophical pedagogy and didactics ) is under press, when different kinds of extern pressure (Scott 2008, Institutions and Organizations) are to be implemented....../transformed into new practice. Reforms and normative expectations (fx evidence based teaching) etc. are constant and increasing demands from the society to the school. When these kinds of external demands are met and transformed with knowledge in the everyday life of schools, other aspects of knowledge than basic...... professional knowledge seem to take over. Furthermore this seems to happen in a paradoxical way, because it happens against an explicit wish in the profession of teachers. Research question: Which practices on a sub organizational level in schools can secure and support that the basic professional knowledge...
Heo, Gyun Young; Choi, Seong Soo; Kim, Han Gon; Chang, Soon Heung
For a long time, a number of alarm processing techniques have been researched to reduce the number of actuated alarms for operators to deal with effectively during the abnormal as well as the normal conditions. However, the strategy that the only systems with a few clear technologies should be used as a part of an alarm annunciation system has been adopted considering the effectiveness and the reliability in actual alarm processing systems. Therefore, alarm processing systems have difficult knowledge-base maintenance problems and limited expansion or enhancement defects. To solve these shortcomings, the integrated knowledge-base which can express the general information related to all the alarm processing techniques is proposed and its management tool, Knowledge Input Tool for Alarm (KIT-A) which can handle the data of the knowledge-base efficiently is developed. Since the integrated knowledge-base with KIT-A can manipulate all the alarm information without the modification of alarm processing system itself, it is expected to considerably advance the overall capability of maintenance and enhancement of the alarm processing systems
Liane Mahlmann Kipper
Full Text Available In the current scenario of organizations Process Management aims to perform process in an organized, prioritizing actions through techniques and methods that are linked to the improvement of the organization in the market segment it operates. As a determinant for achieving goals successfully, organizational memory is all important in the management of processes, allowing all areas meet in a systemic way, crediting their information to the various organizational sectors and thus using knowledge to direct an action with a focus planning to achieve strategic organizational goal. The organizational memory can be registered through the development of a knowledge base. The work in question aims to provide a better understanding of the importance of the knowledge base in an organization, to perform appropriate actions, planning, simulating and reaching a decision through meaningful data. Soon after the development of a bibliographic research, a bibliometric study on the proposed topic was accomplished with the main events of the Brazilian scientific areas of production engineering, analyzing how the topic has been addressed by authors in the areas of Process Management and Base Knowledge. The main results so far observed the need for the implementation of knowledge-based models in systems that seek to improve the execution of processes and thus reduce failures and decision-making processes more appropriate.
Cherney, Adrian; Head, Brian
The processes for moving research-based knowledge to the domains of action in social policy and professional practice are complex. Several disciplinary research traditions have illuminated several key aspects of these processes. A more holistic approach, drawing on systems thinking, has also been outlined and advocated by recent contributors to…
Borovsky, Arielle; Ellis, Erica M.; Evans, Julia L.; Elman, Jeffrey L.
Although the size of a child's vocabulary associates with language-processing skills, little is understood regarding how this relation emerges. This investigation asks whether and how the structure of vocabulary knowledge affects language processing in English-learning 24-month-old children (N = 32; 18 F, 14 M). Parental vocabulary report was used…
Niederman, Fred; Mueller, Benjamin; March, Salvatore T.
Process theory has become an important type of theory for the accumulation of knowledge in a number of disciplines. Process theory focuses on sequences of activities, their duration and the intervals between them, as they lead to particular outcomes. Thus it is particularly relevant to project
Cecilio-Fernandes, Dario; Kerdijk, Wouter; Jaarsma, A. D. (Debbie) C.; Tio, Rene A.
BACKGROUND: Beside acquiring knowledge, medical students should also develop the ability to apply and reflect on it, requiring higher-order cognitive processing. Ideally, students should have reached higher-order cognitive processing when they enter the clinical program. Whether this is the case, is
Biasutti, Michele; EL-Deghaidy, Heba
The current study reports on the use of Wiki as an online didactic tool to develop knowledge management (KM) processes in higher education. This study integrates social constructivist principles to learning where learners are pro-active and collaborative through higher order cognitive processes. The study was administered in two countries, namely…
Andersen, Simone Nyholm; Broberg, Ole
Participatory simulation (PS) is a method to involve workers in simulating and designing their own future work system. Existing PS studies have focused on analysing the outcome, and minimal attention has been devoted to the process of creating this outcome. In order to study this process, we...... suggest applying a knowledge creation perspective. The aim of this study was to develop a framework describing the process of how ergonomics knowledge is created in PS. Video recordings from three projects applying PS of hospital work systems constituted the foundation of process mining analysis....... The analysis resulted in a framework revealing the sources of ergonomics knowledge creation as sequential relationships between the activities of simulation participants sharing work experiences; experimenting with scenarios; and reflecting on ergonomics consequences. We argue that this framework reveals...
Elag, M.; Goodall, J. L.
Hydrologic modeling often requires the re-use and integration of models from different disciplines to simulate complex environmental systems. Component-based modeling introduces a flexible approach for integrating physical-based processes across disciplinary boundaries. Several hydrologic-related modeling communities have adopted the component-based approach for simulating complex physical systems by integrating model components across disciplinary boundaries in a workflow. However, it is not always straightforward to create these interdisciplinary models due to the lack of sufficient knowledge about a hydrologic process. This shortcoming is a result of using informal methods for organizing and sharing information about a hydrologic process. A knowledge-based ontology provides such standards and is considered the ideal approach for overcoming this challenge. The aims of this research are to present the methodology used in analyzing the basic hydrologic domain in order to identify hydrologic processes, the ontology itself, and how the proposed ontology is integrated with the Water Resources Component (WRC) ontology. The proposed ontology standardizes the definitions of a hydrologic process, the relationships between hydrologic processes, and their associated scientific equations. The objective of the proposed Hydrologic Process (HP) Ontology is to advance the idea of creating a unified knowledge framework for components' metadata by introducing a domain-level ontology for hydrologic processes. The HP ontology is a step toward an explicit and robust domain knowledge framework that can be evolved through the contribution of domain users. Analysis of the hydrologic domain is accomplished using the Formal Concept Approach (FCA), in which the infiltration process, an important hydrologic process, is examined. Two infiltration methods, the Green-Ampt and Philip's methods, were used to demonstrate the implementation of information in the HP ontology. Furthermore, a SPARQL
Mina Ranjbar Fard
Full Text Available This paper presents an appropriate categorization of business processes in order to study the different aspects of knowledge management for each kind of business processes. In this categorization, business processes are classified into the four categories including work-flow oriented, decision oriented, information oriented and motivation oriented. Then, the special attributes and knowledge management barriers for each kind of business processes are discussed. Findings from the literature led to some hypotheses about the most important knowledge management barriers in the four different kinds of business processes. Tentative theory has improved through two case studies for a work-flow oriented business process and a decision oriented business process. Research findings help managers to have process perspective in implementing KM initiatives and remove the most important barriers of KM regarding the type of the considered business processes. Improving the hypotheses related to the information oriented and collaborate oriented business processes through case study in their instance processes and also testing the introduced hypotheses are good start points for further research in the future.
Laís de Mello Santos
Full Text Available Abstract Objectives: To identify the strategies used by teachers to share the contents of Psychiatric Nursing and Mental Health; to describe the stages of knowledge sharing in light of the knowledge transfer process. Method: Qualitative, descriptive-exploratory research of the case study type, carried out with six teachers and 23 students, data production was by semi-structured interview and focus group. For the data analysis, the SECI knowledge conversion model was used: socialization, externalization, combination and internalization. Results: Teachers made socialization and externalization, but did not make clear the assessment and teaching-learning strategies. The combination was completed, but the internalization was unfinished, despite suggesting an attempt to reach it. Conclusion: The feasibility and applicability of the knowledge transfer process to the teaching of Psychiatric Nursing were confirmed.
Steurer, Wolfram; Surnev, Svetlozar; Netzer, Falko P; Sementa, Luca; Negreiros, Fabio R; Barcaro, Giovanni; Durante, Nicola; Fortunelli, Alessandro
Manipulation of chemistry and film growth via external electric fields is a longstanding goal in surface science. Numerous systems have been predicted to show such effects but experimental evidence is sparse. Here we demonstrate in a custom-designed UHV apparatus that the application of spatially extended, homogeneous, very high (>1 V nm(-1)) DC-fields not only changes the system energetics but triggers dynamic processes which become important much before static contributions appreciably modify the potential energy landscape. We take a well characterized ultrathin NiO film on a Ag(100) support as a proof-of-principle test case, and show how it gets reduced to supported Ni clusters under fields exceeding the threshold of +0.9 V nm(-1). Using an effective model, we trace the observed interfacial redox process down to a dissociative electron attachment resonant mechanism. The proposed approach can be easily implemented and generally applied to a wide range of interfacial systems, thus opening new opportunities for the manipulation of film growth and reaction processes at solid surfaces under strong external fields.
Balducelli, C.; Federico, A.; Sapia, R.Di.
On the basis of some experiences performed in ENEA (Thermal Reactor Department) revelant to the project and development of experts systems to support the operator activities in nuclear and conventional energy production processes, the paper tries to point out the outline of a 'generic' plant operator cognitive structure. For this type of expert systems an implementation strategy and a knowledge elicitation methodology are proposed with the intention of giving a support to the knowledge engineer work
Morman, J.A.; Reifman, J.; Vitela, J.E.; Wei, T.Y.C.; Applequist, C.A.; Hippely, P.; Kuk, W.; Tsoukalas, L.H.
Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R and D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R and D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management. (author)
Morman, J.A.; Reifman, J.; Wei, T.Y.C.
Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R ampersand D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R ampersand D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management
Natacha Bertoia Silva
Full Text Available The main purpose of this study was to explore the knowledge transfer process between the subsidiaries and the headquarter of Brazilian multinationals, and to identify the most used mechanisms for transferring knowledge. This paper also aims to point out existing barriers in this process, comparing acquired subsidiaries to the greenfield ones. International studies have shown differences in the process of knowledge transfer due to the origin of foreign units (entry mode. We surveyed in 2006 and 2007 a sample of 66 Brazilian subsidiaries of multinationals with overseas activities. As a result, the knowledge transfer from the headquarter to the subsidiary has occurred through meetings with top executives and the reception of Brazilian executives in both types of units. The barriers to knowledge transfer are bland, being clearer in acquired subsidiaries. Cultural resistance is the most prominent. When we focus on the acquired units, the hierarchical structure is seen as a barrier, probably reflecting the centralized attitude by the headquarters. At the same time, the lack of incentives for sharing knowledge is more evident in greenfield units. Also, the syndrome of not invented here is a perceived barrier by acquired units.
Full Text Available We generalize the Piterbarg (2010 model to include 1 bilateral default risk as in Burgard and Kjaer (2012, and 2 jumps in the dynamics of the underlying asset using general classes of L'evy processes of exponential type. We develop an efficient explicit-implicit scheme for European options and barrier options taking CVA-FVA into account. We highlight the importance of this work in the context of trading, pricing and management a derivative portfolio given the trajectory of regulations.
Gautham, B. P.; Kulkarni, Nagesh; Khan, Danish; Zagade, Pramod; Reddy, Sreedhar; Uppaluri, Rohith
Integrated design of a product and its manufacturing processes would significantly reduce the total cost of the products as well as the cost of its development. However this would only be possible if we have a platform that allows us to link together simulations tools used for product design, performance evaluation and its manufacturing processes in a closed loop. In addition to that having a comprehensive knowledgebase that provides systematic knowledge guided assistance to product or process designers who may not possess in-depth design knowledge or in-depth knowledge of the simulation tools, would significantly speed up the end-to-end design process. In this paper, we propose a process and illustrate a case for achieving an integrated product and manufacturing process design assisted by knowledge support for the user to make decisions at various stages. We take transmission component design as an example. The example illustrates the design of a gear for its geometry, material selection and its manufacturing processes, particularly, carburizing-quenching and tempering, and feeding the material properties predicted during heat treatment into performance estimation in a closed loop. It also identifies and illustrates various decision stages in the integrated life cycle and discusses the use of knowledge engineering tools such as rule-based guidance, to assist the designer make informed decisions. Simulation tools developed on various commercial, open-source platforms as well as in-house tools along with knowledge engineering tools are linked to build a framework with appropriate navigation through user-friendly interfaces. This is illustrated through examples in this paper.
Montoni, Mariano Angel; Cerdeiral, Cristina; Zanetti, David; Cavalcanti da Rocha, Ana Regina
The success of software process improvement (SPI) implementation initiatives depends fundamentally of the strategies adopted to support the execution of such initiatives. Therefore, it is essential to define adequate SPI implementation strategies aiming to facilitate the achievement of organizational business goals and to increase the benefits of process improvements. The objective of this work is to present an approach to support the execution of SPI implementation initiatives. We also describe a methodology applied to capture knowledge related to critical success factors that influence SPI initiatives. This knowledge was used to define effective SPI strategies aiming to increase the success of SPI initiatives coordinated by a specific SPI consultancy organization. This work also presents the functionalities of a set of tools integrated in a process-centered knowledge management environment, named CORE-KM, customized to support the presented approach.
Van Gestel, P.; Pons, D. J.; Pulakanam, V.
Statistical process control (SPC) theory takes a negative view of adjustment of process settings, which is termed tampering. In contrast, quality and lean programmes actively encourage operators to acts of intervention and personal agency in the improvement of production outcomes. This creates a conflict that requires operator judgement: How does one differentiate between unnecessary tampering and needful intervention? Also, difficult is that operators apply tacit knowledge to such judgements. There is a need to determine where in a given production process the operators are applying tacit knowledge, and whether this is hindering or aiding quality outcomes. The work involved the conjoint application of systems engineering, statistics, and knowledge management principles, in the context of a case study. Systems engineering was used to create a functional model of a real plant. Actual plant data were analysed with the statistical methods of ANOVA, feature selection, and link analysis. This identified the variables to which the output quality was most sensitive. These key variables were mapped back to the functional model. Fieldwork was then directed to those areas to prospect for operator judgement activities. A natural conversational approach was used to determine where and how operators were applying judgement. This contrasts to the interrogative approach of conventional knowledge management. Data are presented for a case study of a meat rendering plant. The results identify specific areas where operators' tacit knowledge and mental model contribute to quality outcomes and untangles the motivations behind their agency. Also evident is how novice and expert operators apply their knowledge differently. Novices were focussed on meeting throughput objectives, and their incomplete understanding of the plant characteristics led them to inadvertently sacrifice quality in the pursuit of productivity in certain situations. Operators' responses to the plant are affected by
Contandriopoulos, Damien; Lemire, Marc; Denis, Jean-Louis; Tremblay, Emile
This article presents the main results from a large-scale analytical systematic review on knowledge exchange interventions at the organizational and policymaking levels. The review integrated two broad traditions, one roughly focused on the use of social science research results and the other focused on policymaking and lobbying processes. Data collection was done using systematic snowball sampling. First, we used prospective snowballing to identify all documents citing any of a set of thirty-three seminal papers. This process identified 4,102 documents, 102 of which were retained for in-depth analysis. The bibliographies of these 102 documents were merged and used to identify retrospectively all articles cited five times or more and all books cited seven times or more. All together, 205 documents were analyzed. To develop an integrated model, the data were synthesized using an analytical approach. This article developed integrated conceptualizations of the forms of collective knowledge exchange systems, the nature of the knowledge exchanged, and the definition of collective-level use. This literature synthesis is organized around three dimensions of context: level of polarization (politics), cost-sharing equilibrium (economics), and institutionalized structures of communication (social structuring). The model developed here suggests that research is unlikely to provide context-independent evidence for the intrinsic efficacy of knowledge exchange strategies. To design a knowledge exchange intervention to maximize knowledge use, a detailed analysis of the context could use the kind of framework developed here. © 2010 Milbank Memorial Fund. Published by Wiley Periodicals Inc.
Full Text Available Sense of agency refers to the subjective feeling of controlling events through one’s behavior or will. Sense of agency results from matching predictions of one’s own actions with actual feedback regarding the action. Furthermore, when an action involves a cued goal, performance-based inference contributes to sense of agency. That is, if people achieve their goal, they would believe themselves to be in control. Previous studies have shown that both action-effect comparison and performance-based inference contribute to sense of agency; however, the dominance of one process over the other may shift based on task conditions such as the presence or absence of specific goals. In this study, we examined the influence of divided attention on these two processes underlying sense of agency in two conditions. In the experimental task, participants continuously controlled a moving dot for 10 s while maintaining a string of three or seven digits in working memory. We found that when there was no cued goal (no-cued-goal condition, sense of agency was impaired by high cognitive load. Contrastingly, when participants controlled the dot based on a cued goal (cued-goal-directed condition, their sense of agency was lower than in the no-cued-goal condition and was not affected by cognitive load. The results suggest that the action-effect comparison process underlying sense of agency requires attention. On the other hand, the weaker influence of divided attention in the cued-goal-directed condition could be attributed to the dominance of performance-based inference, which is probably automatic.
Thomas, Maikel A.; Smartt, Heidi Anne; Matthews, Robert F.
Modern nuclear facilities, such as reprocessing plants, present inspectors with significant challenges due in part to the sheer amount of equipment that must be safeguarded. The Sandia-developed and patented Knowledge Generation system was designed to automatically analyze large amounts of safeguards data to identify anomalous events of interest by comparing sensor readings with those expected from a process of interest and operator declarations. This paper describes a demonstration of the Knowledge Generation system using simulated accountability tank sensor data to represent part of a reprocessing plant. The demonstration indicated that Knowledge Generation has the potential to address several problems critical to the future of safeguards. It could be extended to facilitate remote inspections and trigger random inspections. Knowledge Generation could analyze data to establish trust hierarchies, to facilitate safeguards use of operator-owned sensors.
Vinding, Anker Lund
In the knowledge-based economy interorganizational interaction is regarded as crucial in the process of product innovation. Contributions from Lundvall, Von Hippel and the resource based view of the firm all argue that absorptive capacity is of importance for an efficient use of external knowledge...... knowledge the firm also needs to invest in the establishment of channels and codes of communication to external parties. By emphasizing the relative aspect of absorptive capacity as investment in social capital we argue that absolute absorptive capacity and social capital are complementary. This calls...... with respect to the complementarity between the absolute and the relative aspects of absorptive capacity the dissertation concludes that complementarity exists. The implications for firms and policy makers are that in order to give effective access to absorption investment in both the internal knowledge base...
Full Text Available The debate surrounding the construction of scientific knowledge within social work is discussed. The social work class seeks new foundations that allow within the context of structural change, the strengthening of professional identity and challenge of the vestiges of intellectual segregation that historical constraints have left. This paper seeks to outline a research strategy for reconciliation and coordination of intellectual and professional work in order to give visibility to new and different domains of interpretation and action, while claiming that considering pluri-perspectives potentiates the knowledge transformation process. Underlining this confluence of complex thinking elements, this article incorporates the space-time dimension and discusses and recognizes the unavoidable circularity as a way to interrogate knowledge that is compartmentalized and fragmented, placing an emphasis both on knowledge and on the interrelationship between knowing, doing, being and relating. In addition, examines the recognition of the nature of those relationships among various disciplines and perspectives.
Hao Tam Ho
Full Text Available Integrating emotional information from multiple sensory modalities is generally assumed to be a pre-attentive process (de Gelder et al., 1999. This assumption, however, presupposes that the integrative process occurs independent of attention. Using event-potentials (ERP the present study investigated whether the neural processes underlying the integration of dynamic facial expression and emotional prosody is indeed unaffected by attentional manipulations. To this end, participants were presented with congruent and incongruent face-voice combinations (eg, an angry face combined with a neutral voice and performed different two-choice tasks in four consecutive blocks. Three of the tasks directed the participants' attention to emotion expressions in the face, the voice or both. The fourth task required participants to attend to the synchronicity between voice and lip movements. The results show divergent modulations of early ERP components by the different attentional manipulations. For example, when attention was directed to the face (or the voice, incongruent stimuli elicited a reduced N1 as compared to congruent stimuli. This effect was absent, when attention was diverted away from the emotionality in both face and voice suggesting that the detection of emotional incongruence already requires attention. Based on these findings, we question whether multisensory integration of emotion occurs indeed pre-attentively.
Rogenmoser, Lars; Zollinger, Nina; Elmer, Stefan; Jäncke, Lutz
The aim of this study was to investigate the brain processes underlying emotions during natural music listening. To address this, we recorded high-density electroencephalography (EEG) from 22 subjects while presenting a set of individually matched whole musical excerpts varying in valence and arousal. Independent component analysis was applied to decompose the EEG data into functionally distinct brain processes. A k-means cluster analysis calculated on the basis of a combination of spatial (scalp topography and dipole location mapped onto the Montreal Neurological Institute brain template) and functional (spectra) characteristics revealed 10 clusters referring to brain areas typically involved in music and emotion processing, namely in the proximity of thalamic-limbic and orbitofrontal regions as well as at frontal, fronto-parietal, parietal, parieto-occipital, temporo-occipital and occipital areas. This analysis revealed that arousal was associated with a suppression of power in the alpha frequency range. On the other hand, valence was associated with an increase in theta frequency power in response to excerpts inducing happiness compared to sadness. These findings are partly compatible with the model proposed by Heller, arguing that the frontal lobe is involved in modulating valenced experiences (the left frontal hemisphere for positive emotions) whereas the right parieto-temporal region contributes to the emotional arousal. © The Author (2016). Published by Oxford University Press. For Permissions, please email: firstname.lastname@example.org.
Martens, Herm; Nagtzaam, Ivo; Heeneman, Sylvia
Objectives To obtain a deeper understanding of how the e-learning program, Education in Dermatology (ED), affects the acquisition of dermatological knowledge and the underlying learning processes of medical students in their clinical phase. Methods The study used a mixed method design with a convergent parallel collection of data. Medical students (n=62) from Maastricht University (The Netherlands) were randomized to either a conventional teaching group (control group n=30) or conventional teaching plus the e-learning program (application on smartphone) group (e-learning group n=32). Pre- and post-intervention knowledge test results were analysed using an independent t-test. Individual semi-structured interviews (n=9) were conducted and verbatim-transcribed recordings were analysed using King’s template analysis. Results The e-learning program positively influenced students’ level of knowledge and their process of learning. A significant difference was found in the post-test scores for the control group (M=51.4, SD=6.43) and the e-learning group (M=73.09, SD=5.12); t(60)=-14.75, pe-learning program stimulated students’ learning as the application promoted the identification and recognition of skin disorders, the use of references, creation of documents and sharing information with colleagues. Conclusions This study demonstrated that use of the e-learning program led to a significant improvement in basic dermatological knowledge. The underlying learning processes indicated that e-learning programs in dermatology filled a vital gap in the understanding of clinical reasoning in dermatology. These results might be useful when developing (clinical) teaching formats with a special focus on visual disciplines. PMID:29352748
Fransen, Frederike; Martens, Herm; Nagtzaam, Ivo; Heeneman, Sylvia
To obtain a deeper understanding of how the e-learning program, Education in Dermatology (ED), affects the acquisition of dermatological knowledge and the underlying learning processes of medical students in their clinical phase. The study used a mixed method design with a convergent parallel collection of data. Medical students (n=62) from Maastricht University (The Netherlands) were randomized to either a conventional teaching group (control group n=30) or conventional teaching plus the e-learning program (application on smartphone) group (e-learning group n=32). Pre- and post-intervention knowledge test results were analysed using an independent t-test. Individual semi-structured interviews (n=9) were conducted and verbatim-transcribed recordings were analysed using King's template analysis. The e-learning program positively influenced students' level of knowledge and their process of learning. A significant difference was found in the post-test scores for the control group (M=51.4, SD=6.43) and the e-learning group (M=73.09, SD=5.12); t(60)=-14.75, pe-learning program stimulated students' learning as the application promoted the identification and recognition of skin disorders, the use of references, creation of documents and sharing information with colleagues. This study demonstrated that use of the e-learning program led to a significant improvement in basic dermatological knowledge. The underlying learning processes indicated that e-learning programs in dermatology filled a vital gap in the understanding of clinical reasoning in dermatology. These results might be useful when developing (clinical) teaching formats with a special focus on visual disciplines.
Ochoa, Cristian; Alvarez-Moya, Eva M; Penelo, Eva; Aymami, M Neus; Gómez-Peña, Mónica; Fernández-Aranda, Fernando; Granero, Roser; Vallejo-Ruiloba, Julio; Menchón, José Manuel; Lawrence, Natalia S; Jiménez-Murcia, Susana
A variety of cognitive and emotional processes influence the decision-making deficits observed in pathological gambling (PG). This study investigated the role of immediate/delayed sensitivity to reward and punishment, executive functions, impulsivity and explicit knowledge in relation to decision-making performance on the original Iowa Gambling Task (IGT-ABCD) and a variant (IGT-EFGH). We assessed 131 consecutive patients with a diagnosis of PG by using executive functioning and decision-making tasks, self-report measures of impulsivity and explicit knowledge. The majority of pathological gamblers (PGs) showed deficits in decision-making, characterized mainly by myopia for the future. Decisions made under risk showed different predictors. Performance on the IGT-ABCD for decisions made under risk was predicted by medium and high levels of explicit knowledge of the task, as well as by scores on the Disorderliness subscale and the degree of Stroop interference. By contrast, IGT-EFGH results were only associated with self-report impulsivity measures. Decision making in PG involves distinct patterns of deficits, and the predictors differ depending on the reinforcement schedule. Decisions made under risk on the IGT-ABCD are associated with explicit knowledge, executive functions and impulsivity traits related to conscious awareness and control processes. On the IGT-EFGH, however, only impulsivity traits predict decision making. Copyright © American Academy of Addiction Psychiatry.
Kimmerle, Joachim; Moskaliuk, Johannes; Oeberst, Aileen; Cress, Ulrike
Social media are increasingly being used for educational purposes. The first part of this article briefly reviews literature that reports on educational applications of social media tools. The second part discusses theories that may provide a basis for analyzing the processes that are relevant for individual learning and collective knowledge construction. We argue that a systems-theoretical constructivist approach is appropriate to examine the processes of educational social media use, namely, self-organization, the internalization of information, the externalization of knowledge, and the interplay of externalization and internalization providing the basis of a co-evolution of cognitive and social systems. In the third part we present research findings that illustrate and support this systems-theoretical framework. Concluding, we discuss the implications for educational design and for future research on learning and collective knowledge construction with social media. PMID:26246643
The monograph addresses a problem of stochastic analysis based on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty. The first chapter defines the Monte Carlo (MC) method and random variables in stochastic models. Chapter two deals with the contamination transport in porous media. Stochastic approach for Municipal Solid Waste transit time contaminants modeling using MC simulation has been worked out. The third chapter describes the risk analysis of the waste to energy facility proposal for Konin city, including the financial aspects. Environmental impact assessment of the ArcelorMittal Steel Power Plant, in Kraków - in the chapter four - is given. Thus, four scenarios of the energy mix production processes were studied. Chapter five contains examples of using ecological Life Cycle Assessment (LCA) - a relatively new method of environmental impact assessment - which help in preparing pro-ecological strategy, and which can lead to reducing t...
The present study aimed at modeling individual differences in a verbal learning task by means of a latent structured growth curve approach based on an exponential function that yielded 3 parameters: initial recall, learning rate, and asymptotic performance. Three cognitive variables--speed of information processing, verbal knowledge, working…
Sloep, P. B. (2009). Innovation as a distributed, collaborative process of knowledge generation: open, networked innovation. In V. Hornung-Prähauser & M. Luckmann (Eds.), Kreativität und Innovationskompetenz im digitalen Netz - Creativity and Innovation Competencies in the Web, Sammlung von
Martinsons, M.G.; Davison, R.M.; Ou, Carol
Much has been written about theories and how they can be tested. Unfortunately, much less has been written about how to develop them. This paper sheds light on the process of new theory development. We document and reflect on how we developed a context-sensitive indigenous theory of knowledge
Abma, Tineke A.; Cook, Tina; Rämgård, Margaretha; Kleba, Elisabeth; Harris, Janet; Wallerstein, Nina
Social impact, defined as an effect on society, culture, quality of life, community services, or public policy beyond academia, is widely considered as a relevant requirement for scientific research, especially in the field of health care. Traditionally, in health research, the process of knowledge transfer is rather linear and one-sided and has…
Pivarnik, Lori F.; Richard, Nicole L.; Gable, Robert K.; Worobo, Randy W.
A needs assessment survey was designed and administered to measure knowledge of and attitudes toward food safety impacts of nonthermal processing technologies of shellfish and produce industry personnel and extension educators. An online survey was sent via e-mail notification with the survey link through professional listserves. The survey…
Padilla-Walker, Laura M.; Harper, James M.; Bean, Roy A.
The purpose of the current study was (a) to examine the role of family process on child disclosure, parental solicitation, and parental knowledge and (b) to examine how patterns might differ as a function of family structure. Data for this study were taken from the Flourishing Families Project, which consists of 353 two- and 147 single-parent…
Aukerman, Maren; Brown, Rachel; Mokhtari, Kouider; Valencia, Sheila; Palincsar, Annemarie
The essays below were prepared following the LRA session organized by Janice Almasi entitled, "Examining the relative contributions of content knowledge and strategic processing to comprehension." What unites these essays are the personal and historical stances that each writer has taken; in addition, the essays are rich with…
This talk is an introduction to the knowledge discovery process, beginning with: identifying the problem, choosing data sources, matching the appropriate machine learning tools, and reviewing the results. The overview will be given in the context of an ongoing study that is assessing RNAV adherence of commercial aircraft in the national airspace.
Miao, Yongwu; Sloep, Peter; Koper, Rob
Miao, Y., Sloep, P. B., & Koper, R. (2009). Facilitating Work Based Learning Projects: A Business Process Oriented Knowledge Management Approach. Presented at the 'Open workshop of TENCompetence - Rethinking Learning and Employment at a Time of Economic Uncertainty-event'. November, 19, 2009,
Miao, Yongwu; Sloep, Peter; Koper, Rob
Miao, Y., Sloep, P. B., & Koper, R. (2010). Facilitating Work Based Learning Projects: A Business Process Oriented Knowledge Management Approach. In D. Griffiths & R. Koper (Eds.), Rethinking Learning and Employment at a Time of Economic Uncertainty. Proceedings of the 6th TENCompetence Open
Full Text Available Abstract Background The Seniors Health Research Transfer Network (SHRTN Collaborative is a network of networks that work together to improve the health and health care of Ontario seniors. The collaborative facilitates knowledge exchange through a library service, knowledge brokers (KBs, local implementation teams, collaborative technology, and, most importantly, Communities of Practice (CoPs whose members work together to identify innovations, translate evidence, and help implement changes. This project aims to increase our understanding of knowledge-to-action (KTA processes mobilized through SHRTN CoPs that are working to improve the health of Ontario seniors. For this research, KTA refers to the movement of research and experience-based knowledge between social contexts, and the use of that knowledge to improve practice. We will examine the KTA processes themselves, as well as the role of human agents within those processes. The conceptual framework we have adopted to inform our research is the Promoting Action on Research Implementation in Health Services (PARIHS framework. Methods/design This study will use a multiple case study design (minimum of nine cases over three years to investigate how SHRTN CoPs work and pursue knowledge exchange in different situations. Each case will yield a unique narrative, framed around the three PARIHS dimensions: evidence, context, and facilitation. Together, the cases will shed light on how SHRTN CoPs approach their knowledge exchange initiatives, and how they respond to challenges and achieve their objectives. Data will be collected using interviews, document analysis, and ethnographic observation. Discussion This research will generate new knowledge about the defining characteristics of CoPs operating in the health system, on leadership roles in CoPs, and on the nature of interaction processes, relationships, and knowledge exchange mechanisms. Our work will yield a better understanding of the factors that
The paper examines change processes und future perspectives in the knowledge society. It presents the clothing and textile industry as an example for a transforming industry in a global economy. The paper reviews existing future studies, which have surveyed change processes and future developments in the clothing and textile industry. Main goals of the review are the identification of changes in work and the description of the restructuring of global value chains within the clothing and texti...
Szejka , Anderson Luis; Canciglieri , Osiris ,; Rudek , Marcelo; Panetto , Hervé
International audience; Computer aided techniques widely used as diagnostic and surgical procedures tools are scarcely applied in implantology, which continues using visualization of CT images to define the parameters for dental implant process leaving to the dentist discretion the implant determination, since only the images analysis is non-deterministic. Thus, this research proposes the development of a knowledge-link model integrated to a reasoner system to support dental implant process t...
Full Text Available There are 30-40% of people with allergies world wide in 2011, this is based on data from the Center for Disease Control and Prevention (CDC more than tripled from 1993 to 2006. Parents play an important role in overcoming the recurrence of allergies in children in order of recurrence allergies and more severe recurrence. The goal of the study is to analyze association mothers’s role and knowledge in recurrence prevention of food allergy in children under five years-old. The study is an analytic observational research with cross sectional design. Method of sampling usedis simple random sampling. The samples were 39 mothers who have children under five years-old with food allergy in Rumah Sakit Islam Jemursari Surabaya. Analysis used chi-square test with α = 0.05 significance level.The results revealed the knowledge of mothers’ with allergy recurrance is 15 person (38,5% have a good knowledge in prevention of food allergy in children under five years-old, while mothers’s role in recurrence prevention of food allergy in children under five years-old is 26 person (66,7% have a role unfavorable. The statistical test by using chi-square revealed there were association between mothers’role (ρ=0,030 and mother’s of knowledge (ρ=0,00001in recurrence prevention of food allergy for children under five years-old.The conclusions of the results this study is mothers’s role with unfavorable to have children under five years-old with an allergy recurrence of severe allergy, while mothers with good knowledge to have children under five years-old with an allergy reccurrance of mild allergy. Keywords: recurrence allergies, mother’s role, mother’s knowledge
Cesar Augusto Gálvez
Full Text Available Objective. To assess Peruvian mothers' knowledge and recognition of pneumonia in children under 5 years of age, the mothers' attitude toward seeking medical help if they had a child with signs of pneumonia, and their perception of a Government of Peru pneumonia campaign. Methods. In this cross-sectional study, 501 mothers were selected randomly from 20 low-income communities of the metropolitan area of Lima, Peru, and were interviewed between June and August 2000. Using SPSS software, descriptive statistics were applied to summarize the demographic data and the data regarding the mothers' knowledge of pneumonia and recognition of signs of the disease. Cross-tabulations and chi-squares were done to assess relationships between variables and to make comparisons. Results. About 84% of the mothers said that they knew what pneumonia is. Most believed that pneumonia is dangerous. A majority (58.7% indicated that pneumonia is caused by lack of parental care. Only 28.9% believed that a virus causes the disease. More than 80% correctly picked rapid breathing and/or chest retraction from a list of possible signs and symptoms of pneumonia, and 94.6% said they were ready to take their child to the closest health center if they thought their child had pneumonia. Although 57.1% said they had heard about the Government of Peru pneumonia campaign, 69.3% of these mothers said they could not recall the motto of the campaign. Mothers who reported having heard of the campaign through TV were more likely than other mothers to correctly recognize the two major signs of pneumonia presented in the campaign. Conclusions. Although the percentage of mothers believing they can recognize pneumonia through rapid breathing and chest retraction seems to have increased in recent years, there is still a sizable percentage of mothers who remain uninformed about pneumonia and its possible fatal consequences. Efforts need to continue to educate Peruvian mothers about the causes
V. L. Makarov
Full Text Available The article analyzes the emergence of the knowledge economy, development of the attention economy, the ability to measure the amount of knowledge. Particular attention is paid to the characteristics of the innovation environment, the problem of competitiveness, including the environment of fundamental science and higher education, as well as the formation of knowledge market as a special institution, significantly different from the traditional markets.
Kirsten G Volz
Full Text Available We deal with risk versus uncertainty, a distinction that is of fundamental importance for cognitive neuroscience yet largely neglected. In a world of risk (small world, all alternatives, consequences, and probabilities are known. In uncertain (large worlds, some of this information is unknown or unknowable. Most of cognitive neuroscience studies exclusively study the neural correlates for decisions under risk (e.g., lotteries, with the tacit implication that understanding these would lead to an understanding of decision making in general. First, we show that normative strategies for decisions under risk do not generalize to uncertain worlds, where simple heuristics are often the more accurate strategies. Second, we argue that the cognitive processes for making decisions in a world of risk are not the same as those for dealing with uncertainty. Because situations with known risks are the exception rather than the rule in human evolution, it is unlikely that our brains are adapted to them. We therefore suggest a paradigm shift towards studying decision processes in uncertain worlds and provide first examples.
Interdisciplinary research (IDR) collaboration can be defined as the process of integrating experts' knowledge, perspectives, and resources to advance scientific discovery. The flourishing of more complex research problems, together with the growth of scientific and technical knowledge has resulted in the need for researchers from diverse fields to provide different expertise and points of view to tackle these problems. These collaborations, however, introduce a new set of "culture" barriers as participating experts are trained to communicate in discipline-specific languages, theories, and research practices. We propose that building a common knowledge base for research using ontology development techniques can provide a starting point for interdisciplinary knowledge exchange, negotiation, and integration. The goal of this work is to extend ontology development techniques to support the knowledge negotiation process in IDR groups. Towards this goal, this work presents a methodology that extends previous work in collaborative ontology development and integrates learning strategies and tools to enhance interdisciplinary research practices. We evaluate the effectiveness of applying such methodology in three different scenarios that cover educational and research settings. The results of this evaluation confirm that integrating learning strategies can, in fact, be advantageous to overall collaborative practices in IDR groups.
It is important to carry out effective education optimally adapted to the operator's knowledge level for the enhancement of the operator's ability to deal with abnormal situations. This paper outlines the educational system that realizes effective education using knowledge-processing techniques. This system is composed of three devices. One is a knowledge-processing computer that evaluates the operator's knowledge level and presents educational materials optimally adapted to his knowledge level. Another is a computer for displaying transients and plant equipments. The other is a computer for voice input and output. The educational materials utilize cause-and-effect relationships. It is possible to perform effective education by pointing out the parts the operator failed to understand using the relationships. An evaluation test was performed using several tens of operators by actually operating the system and then impressions were gathered by questionnaire. As a result, the cause-and-effect relationships were proved to be useful to understand the transients. And the contents of the educational materials and the display pictures were also deemed to have practical value. (author)
Fujii, M.; Fukumoto, A.; Tai, I.; Morioka, T.
In this work, the authors complete the development of a new knowledge processing method and representation for equipment diagnosis of nuclear power plants and evaluate its functions by applying to the maintenance and diagnosis support system of the reactor instrumentation. This knowledge processing method system is based on the Cause Generation and Checking concept and has sufficient performance not only in the diagnosis function but also in the man-machine interfacing function. The maintenance and diagnosis support system based on this method leads to the possibility for users to diagnose various phenomena occurred in an objective equipment to the considerable extent by consulting with the system, even if they don't have enough knowledge. With this system, it becomes easy for operators or plant engineers to take immediate actions to counteract against the abnormality. The maintainability of the equipments is improved and MTTR (Mean Time To Repair) is expected to be shorter. This new knowledge processing method is proved to be suited for fault diagnosis of the equipments of nuclear power plants
Busingye, Janice; Keim, Wiebke
Knowledge has increasingly become an essential resource in the global economy, hence the capitalist tendency to regard it as a form of capital and as a motor for innovation and profit. Like any other capitalist commodity, conflicts over the ownership and use of various types of knowledge have arisen, thereby calling for legal protection.…
Rice, Amber H.; Kitchel, Tracy
The purpose of this grounded theory qualitative study was to explore how beginning agriculture teachers break down content knowledge for student understanding. The overarching theme that emerged during data collection and analysis was beginning teachers' self-perceived content knowledge deficiency in various subjects within agriculture. This…
Sermet, M. Y.; Demir, I.; Krajewski, W. F.
The Iowa Flood Information System (IFIS) is a web-based platform developed by the Iowa Flood Center (IFC) to provide access to flood inundation maps, real-time flood conditions, flood forecasts, flood-related data, information and interactive visualizations for communities in Iowa. The IFIS is designed for use by general public, often people with no domain knowledge and limited general science background. To improve effective communication with such audience, we have introduced a voice-enabled knowledge engine on flood related issues in IFIS. Instead of navigating within many features and interfaces of the information system and web-based sources, the system provides dynamic computations based on a collection of built-in data, analysis, and methods. The IFIS Knowledge Engine connects to real-time stream gauges, in-house data sources, analysis and visualization tools to answer natural language questions. Our goal is the systematization of data and modeling results on flood related issues in Iowa, and to provide an interface for definitive answers to factual queries. The goal of the knowledge engine is to make all flood related knowledge in Iowa easily accessible to everyone, and support voice-enabled natural language input. We aim to integrate and curate all flood related data, implement analytical and visualization tools, and make it possible to compute answers from questions. The IFIS explicitly implements analytical methods and models, as algorithms, and curates all flood related data and resources so that all these resources are computable. The IFIS Knowledge Engine computes the answer by deriving it from its computational knowledge base. The knowledge engine processes the statement, access data warehouse, run complex database queries on the server-side and return outputs in various formats. This presentation provides an overview of IFIS Knowledge Engine, its unique information interface and functionality as an educational tool, and discusses the future plans
R. P. Grant; P. J. Crane; S. Butler; M. A. Henry
This Process Knowledge Summary Report summarizes the information collected to satisfy the transportation and waste acceptance requirements for the transfer of transuranic (TRU) waste between the Materials and Fuels Complex (MFC) and the Advanced Mixed Waste Treatment Project (AMWTP). The information collected includes documentation that addresses the requirements for AMWTP and the applicable portion of their Resource Conservation and Recovery Act permits for receipt and treatment of TRU debris waste in AMWTP. This report has been prepared for contact-handled TRU debris waste generated by the Idaho National Laboratory at MFC. The TRU debris waste will be shipped to AMWTP for purposes of supercompaction. This Process Knowledge Summary Report includes information regarding, but not limited to, the generation process, the physical form, radiological characteristics, and chemical contaminants of the TRU debris waste, prohibited items, and packaging configuration. This report, along with the referenced supporting documents, will create a defensible and auditable record for waste originating from MFC.
Akrout, Khaled; Baron, Luc; Balazinski, Marek
This paper presents the influence of the process of migration between populations in GENO-FLOU, which is an environment of learning of fuzzy knowledge bases by genetic algorithms. Initially the algorithm did not use the process of migration. For the learning, the algorithm uses a hybrid coding......, binary for the base of rules and real for the data base. This hybrid coding used with a set of specialized operators of reproduction proven to be an effective environment of learning. Simulations were made in this environment by adding a process of migration. While varying the number of populations...
Jahn, Karsten; Nielsen, Peter Axel
Software process improvement is a practical concern in software companies today and it has been addressed in research. Part of this research has applied a knowledge management perspective. Researchers point out that two different strategies exist where a mixture is difficult to maintain......: Personalization (focus on people and their collaboration) and codification (focus on documents and their accessibility). This paper addresses different knowledge management problems of a software company and how they can be alleviated. A prototype, which distinguishes between different organizational levels (e.......g., software managers and software developers) and applies different knowledge management strategies, was built. It consists of a wiki and an enterprise system. This article shows how each part of the system focuses on one of the strategies and describes the differences for tool support. This combination could...
Payne, Philip R O; Kwok, Alan; Dhaval, Rakesh; Borlawsky, Tara B
The conduct of large-scale translational studies presents significant challenges related to the storage, management and analysis of integrative data sets. Ideally, the application of methodologies such as conceptual knowledge discovery in databases (CKDD) provides a means for moving beyond intuitive hypothesis discovery and testing in such data sets, and towards the high-throughput generation and evaluation of knowledge-anchored relationships between complex bio-molecular and phenotypic variables. However, the induction of such high-throughput hypotheses is non-trivial, and requires correspondingly high-throughput validation methodologies. In this manuscript, we describe an evaluation of the efficacy of a natural language processing-based approach to validating such hypotheses. As part of this evaluation, we will examine a phenomenon that we have labeled as "Conceptual Dissonance" in which conceptual knowledge derived from two or more sources of comparable scope and granularity cannot be readily integrated or compared using conventional methods and automated tools.
Mohamed, Mohamed M G; Shwaib, Hussam M; Fahim, Monica M; Ahmed, Elhamy A; Omer, Mawadda K; Monier, Islam A; Balla, Siham A
Ebola hemorrhagic fever (EHF) is an emerging threat to public health. The last epidemic in West Africa had a great effect on the affected communities. Timely and effective interventions were necessary in addition to community participation to control the epidemic. The knowledge, attitude and practices of vulnerable communities remain unknown, particularly in Sudan. The aim of this study was to explore the knowledge, attitude and practices of rural residents in Sudan regarding Ebola hemorrhagic fever. We conducted a cross sectional, community-based large-scale study in Al Gaziera state in rural Sudan in eight localities. In total, 1500 random adult participants were selected. The participants were assessed by a predesigned pretested questionnaire regarding their knowledge, attitude and practices regarding Ebola. Their sources of information were determined, and we assessed demographic factors as predictors of knowledge. We found poor knowledge, a fair attitude and suboptimal practices among the participants. The main sources of information were the press and media. Education was the only predictor of knowledge regarding Ebola. A lack of knowledge and suboptimal preventive practices mandates orientation and education programs to raise public awareness. Health care providers are advised to engage more in educating the community. Copyright © 2016 King Saud Bin Abdulaziz University for Health Sciences. Published by Elsevier Ltd. All rights reserved.
Full Text Available People develop knowledge of interpersonal interaction patterns (e.g., prototypes and schemas, which shape how they process incoming information. One such knowledge structure based on attachment theory was examined: the secure base script (the prototypic sequence of events when an attachment figure comforts a close relationship partner in distress. In two studies (N = 53 and N = 119, participants were shown animated film clips in which geometric figures depicted the secure base script and asked to describe the animations. Both studies found that many people readily recognize the secure-base script from these minimal cues quite well, suggesting that this script is not only available in the context of specific relationships (i.e., a relationship-specific knowledge: The generalized (abstract structure of the script is also readily accessible, which would make it possible to apply it to any relationship (including new relationships. Regression analyses suggested that participants who recognized the script were more likely to (a include more animation elements when describing the animations, (b see a common theme in different animations, (c create better organized stories, and (d later recall more details of the animations. These findings suggest that access to this knowledge structure helps a person organize and remember relevant incoming information. Furthermore, in both Study 1 and Study 2, individual differences in the ready recognition of the script were associated with individual differences in having access to another related knowledge: indicators suggesting that a potential relationship partner can be trusted to be supportive and responsive at times of stress. Results of Study 2 also suggest that recognizing the script is associated with those items of an attachment measure that concern giving and receiving support. Thus, these knowledge structures may shape how people process support-relevant information in their everyday lives, potentially
Treffeisen, Renate; Grosfeld, Klaus; Kuhlmann, Franziska
Knowledge transfer and dialogue processes in the field of climate science have captured intensive attention in recent years as being an important part of research activities. Therefore, the demand and pressure to develop a set of indicators for the evaluation of different activities in this field have increased, too. Research institutes are being asked more and more to build up structures in order to map these activities and, thus, are obliged to demonstrate the success of these efforts. This paper aims to serve as an input to stimulate further reflection on the field of evaluation of knowledge transfer and dialogue processes in the context of climate sciences. The work performed in this paper is embedded in the efforts of the German Helmholtz Association in the research field of earth and environment and is driven by the need to apply suitable indicators for knowledge transfer and dialogue processes in climate research center evaluations. We carry out a comparative analysis of three long-term activities and derive a set of indicators for measuring their output and outcome by balancing the wide diversity and range of activity contents as well as the different tools to realize them. The case examples are based on activities which are part of the regional Helmholtz Climate Initiative Regional Climate Change (REKLIM) and the Climate Office for Polar Regions and Sea Level Rise at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research. Both institutional units have been working on a wide range of different knowledge transfer and dialogue processes since 2008/2009. We demonstrate that indicators for the evaluation must be based on the unique objectives of the individual activities and the framework they are embedded in (e.g., research foci which provide the background for the performed knowledge transfer and dialogue processes) but can partly be classified in a principle two-dimensional scheme. This scheme might serve as a usable basis for climate
The real-time periodic performance of a pressure swing adsorption (PSA) system strongly depends on the choice of key decision variables and operational considerations such as processing steps and column pressure temporal profiles, making its design and operation a challenging task. This work presents a detailed optimization-based approach for simultaneously incorporating PSA design, operational, and control aspects under the effect of time variant and invariant disturbances. It is applied to a two-bed, six-step PSA system represented by a rigorous mathematical model, where the key optimization objective is to maximize the expected H2 recovery while achieving a closed loop product H2 purity of 99.99%, for separating 70% H2, 30% CH4 feed. The benefits over sequential design and control approach are shown in terms of closed-loop recovery improvement of more than 3%, while the incorporation of explicit/multiparametric model predictive controllers improves the closed loop performance. © 2012 American Institute of Chemical Engineers (AIChE).
Full Text Available The article deals with the processes of developing creative industries under conditions of a growth in the worldwide economy and globalization, discloses the role of the sector of creative industries and shows its place in the system of the modern global economy. The paper presents a comparative analysis of theories and theoretical approaches intended for the sector of creative industries and its development as well as defines regularities and specificities characteristic of the development of creative industries. Particular attention is shifted on the growth and development of creative industries considering the current challenges of globalization and on the most important specificities of the developing sector in the context of the challenges of economic globalization. The paper examines the trends reflecting the place of the sector of creative industries in the economy of the modern world, including the tendencies indicating changes in the export of the products created in this sector. The article considers the issues of developing creative industries and reveals priorities of future research.
Jadaliha, M.; Xu, Yunfei; Choi, Jongeun; Johnson, N.S.; Li, Weiming
In this paper, we formulate Gaussian process regression with observations under the localization uncertainty due to the resource-constrained sensor networks. In our formulation, effects of observations, measurement noise, localization uncertainty, and prior distributions are all correctly incorporated in the posterior predictive statistics. The analytically intractable posterior predictive statistics are proposed to be approximated by two techniques, viz., Monte Carlo sampling and Laplace's method. Such approximation techniques have been carefully tailored to our problems and their approximation error and complexity are analyzed. Simulation study demonstrates that the proposed approaches perform much better than approaches without considering the localization uncertainty properly. Finally, we have applied the proposed approaches on the experimentally collected real data from a dye concentration field over a section of a river and a temperature field of an outdoor swimming pool to provide proof of concept tests and evaluate the proposed schemes in real situations. In both simulation and experimental results, the proposed methods outperform the quick-and-dirty solutions often used in practice.
Leckelt, Marius; Küfner, Albrecht C P; Nestler, Steffen; Back, Mitja D
Following a dual-pathway approach to the social consequences of grandiose narcissism, we investigated the behavioral processes underlying (a) the decline of narcissists' popularity in social groups over time and (b) how this is differentially influenced by the 2 narcissism facets admiration and rivalry. In a longitudinal laboratory study, participants (N = 311) first provided narcissism self-reports using the Narcissistic Personality Inventory and the Narcissistic Admiration and Rivalry Questionnaire, and subsequently interacted with each other in small groups in weekly sessions over the course of 3 weeks. All sessions were videotaped and trained raters coded participants' behavior during the interactions. Within the sessions participants provided mutual ratings on assertiveness, untrustworthiness, and likability. Results showed that (a) over time narcissists become less popular and (b) this is reflected in an initially positive but decreasing effect of narcissistic admiration as well as an increasing negative effect of narcissistic rivalry. As hypothesized, these patterns of results could be explained by means of 2 diverging behavioral pathways: The negative narcissistic pathway (i.e., arrogant-aggressive behavior and being seen as untrustworthy) plays an increasing role and is triggered by narcissistic rivalry, whereas the relevance of the positive narcissistic pathway (i.e., dominant-expressive behavior and being seen as assertive) triggered by narcissistic admiration decreases over time. These findings underline the utility of a behavioral pathway approach for disentangling the complex effects of personality on social outcomes. (c) 2015 APA, all rights reserved).
Laier, Christian; Pawlikowski, Mirko; Brand, Matthias
Many people watch sexually arousing material on the Internet in order to receive sexual arousal and gratification. When browsing for sexual stimuli, individuals have to make several decisions, all possibly leading to positive or negative consequences. Decision-making research has shown that decisions under ambiguity are influenced by consequences received following earlier decisions. Sexual arousal might interfere with the decision-making process and should therefore lead to disadvantageous decision-making in the long run. In the current study, 82 heterosexual, male participants watched sexual pictures, rated them with respect to sexual arousal, and were asked to indicate their current level of sexual arousal before and following the sexual picture presentation. Afterwards, subjects performed one of two modified versions of the Iowa Gambling Task in which sexual pictures were displayed on the advantageous and neutral pictures on the disadvantageous card decks or vice versa (n = 41/n = 41). Results demonstrated an increase of sexual arousal following the sexual picture presentation. Decision-making performance was worse when sexual pictures were associated with disadvantageous card decks compared to performance when the sexual pictures were linked to the advantageous decks. Subjective sexual arousal moderated the relationship between task condition and decision-making performance. This study emphasized that sexual arousal interfered with decision-making, which may explain why some individuals experience negative consequences in the context of cybersex use.
Kim, Namyong; Byun, Hyung-Gi; Lim, Jeong-Ok
Distortions caused by the DC-biased laser input can be modeled as DC biased Gaussian noise and removing DC bias is important in the demodulation process of the electrical signal in most optical communications. In this paper, a new performance criterion and a related algorithm for unsupervised equalization are proposed for communication systems in the environment of channel distortions and DC biased Gaussian noise. The proposed criterion utilizes the Euclidean distance between the Dirac-delta function located at zero on the error axis and a probability density function of biased constant modulus errors, where constant modulus error is defined by the difference between the system out and a constant modulus calculated from the transmitted symbol points. From the results obtained from the simulation under channel models with fading and DC bias noise abruptly added to background Gaussian noise, the proposed algorithm converges rapidly even after the interruption of DC bias proving that the proposed criterion can be effectively applied to optical communication systems corrupted by channel distortions and DC bias noise.
Yagawa, G.; Yoshimura, S.; Soneda, N.; Nakao, K.
This paper describes the development of a novel automatic FEM mesh generation algorithm based on the fuzzy knowledge processing technique. A number of local nodal patterns are stored in a nodal pattern database of the mesh generation system. These nodal patterns are determined a priori based on certain theories or past experience of experts of FEM analyses. For example, such human experts can determine certain nodal patterns suitable for stress concentration analyses of cracks, corners, holes and so on. Each nodal pattern possesses a membership function and a procedure of node placement according to this function. In the cases of the nodal patterns for stress concentration regions, the membership function which is utilized in the fuzzy knowledge processing has two meanings, i.e. the “closeness” of nodal location to each stress concentration field as well as “nodal density”. This is attributed to the fact that a denser nodal pattern is required near a stress concentration field. What a user has to do in a practical mesh generation process are to choose several local nodal patterns properly and to designate the maximum nodal density of each pattern. After those simple operations by the user, the system places the chosen nodal patterns automatically in an analysis domain and on its boundary, and connects them smoothly by the fuzzy knowledge processing technique. Then triangular or tetrahedral elements are generated by means of the advancing front method. The key issue of the present algorithm is an easy control of complex two- or three-dimensional nodal density distribution by means of the fuzzy knowledge processing technique. To demonstrate fundamental performances of the present algorithm, a prototype system was constructed with one of object-oriented languages, Smalltalk-80 on a 32-bit microcomputer, Macintosh II. The mesh generation of several two- and three-dimensional domains with cracks, holes and junctions was presented as examples.
Suyagh, Maysa; Farah, Doaa; Abu Farha, Rana
Adverse drug reactions (ADRs) are a major cause of drug related morbidity and mortality. Pharmacovigilance is the science that plays an essential role in the reduction of ADRs, thus the evolution and growth of this science are critical for effective and safe clinical practice. This study is considered the first study in the region to evaluate pharmacist's knowledge, practice and attitudes toward ADRs reporting after establishing the national ADRs reporting center in Jordan. A cross sectional study was used to evaluate pharmacist knowledge and attitude toward ADRs reporting. A structured validated questionnaire was developed for this purpose and a total of 208 pharmacists were recruited to participate in this study. The majority of pharmacists have insufficient awareness and lack of knowledge about pharmacovigilance and ADRs reporting. Also the rate of reporting of ADRs was extremely poor. Several factors were found to discourage pharmacists from reporting ADRs, which include inadequate information available from the patient, unavailability of pharmacist ADRs form when needed, unawareness of the existence of the national ADRs reporting system. Also pharmacists think that ADRs are unimportant or they did not know how to report them. The results of this study suggest that pharmacists have insufficient knowledge about the concept of pharmacovigilance and spontaneous ADRs reporting. On the other hand, pharmacists had positive attitudes toward pharmacovigilance, despite their little experience with ADRs reporting. Educational programs are needed to increase pharmacist's role in the reporting process, and thus to have a positive impact on the overall patient caring process.
Ayodeji M. Adebayo
Full Text Available Introduction. The morbidity and mortality from malaria are still unacceptably high in the developing countries, especially among the vulnerable groups like pregnant women and under-five children, despite all control efforts. The knowledge about the preventive measures of malaria is an important preceding factor for the acceptance and use of malaria preventive measures like Insecticide Treated Nets (ITN by community members. Therefore, this study assessed the knowledge of malaria prevention among caregivers of under-five children and pregnant women in a rural community in Southwest Nigeria.Methodology. This is part of a larger malaria prevention study in rural Southwest Nigeria. A descriptive cross-sectional survey was conducted among pregnant women and caregivers of under-five children in Igbo-Ora, a rural town in Southwest Nigeria using a semi-structured, interviewer-administered questionnaire. Information was obtained on knowledge of malaria prevention, and overall composite scores were computed for knowledge of malaria prevention and ITN use. Data were analyzed using SPSS version 16. Associations between variables were tested using a Chi-square with the level of statistical significance set at 5%.Results. Of the 631 respondents, 84.9% were caregivers of under-five children and 67.7% were married. Mean age was 27.7 ± 6.3 years with 53.4% aged between 20 and 29 years. Majority (91.1% had at least primary school education and 60.2% were traders. Overall, 57.7% had poor knowledge of malaria prevention. A good proportion (83.5% were aware of the use of ITN for malaria prevention while 30.6% had poor knowledge of its use. Respondents who were younger (<30 years, had at least primary education and earn <10,000/per month had significantly poor knowledge of ITN use in malaria prevention. Majority (60.0% respondents had poor attitude regarding use of ITNs.Conclusion. This study showed that the knowledge of malaria prevention is still low among under
Munakata, Y; McClelland, J L; Johnson, M H; Siegler, R S
Infants seem sensitive to hidden objects in habituation tasks at 3.5 months but fail to retrieve hidden objects until 8 months. The authors first consider principle-based accounts of these successes and failures, in which early successes imply knowledge of principles and failures are attributed to ancillary deficits. One account is that infants younger than 8 months have the object permanence principle but lack means-ends abilities. To test this, 7-month-olds were trained on means-ends behaviors and were tested on retrieval of visible and occluded toys. Means-ends demands were the same, yet infants made more toy-guided retrievals in the visible case. The authors offer an adaptive process account in which knowledge is graded and embedded in specific behavioral processes. Simulation models that learn gradually to represent occluded objects show how this approach can account for success and failure in object permanence tasks without assuming principles and ancillary deficits.
Full Text Available The use of networks in public education is one of a number of knowledge mobilization (KMb strategies utilized to promote evidence-based research into practice. However, challenges exist in the ability to effectively mobilizing knowledge through external partnership networks. The purpose of this paper is to further explore how networks work. Data was collected from virtual discussions for an interim report for a province-wide government initiative. A secondary analysis of the data was performed. The findings present network structures and processes that partners were engaged in when building a network within education. The implications of this study show that building a network for successful outcomes is complex and metaphorically similar to finding the “sweet spot.” It is challenging but networks that used strategies to align structures and processes proved to achieve more success in mobilizing research to practice.
Ideas of linking cultural diversity and knowledge resources have recently gained momentum in organizational literature, however, little is known about actual knowledge-sharing processes in culturally diverse organizations. This paper contributes to mending such limitations by first reviewing three...... dominant perspectives in the literature relevant to understanding these processes. It is then argued that these perspectives contribute focusing on different aspects of human diversity in organizations and, therefore, that they should not be separated in the analysis of the complex settings that culturally...... diverse organizations represent. This is illustrated with data from an ethnographic fieldwork in a Danish multicultural organization. The final section reflects on implications of using a combination of different theories in analyzing the results, and suggests other possibilities for future research....
Hayes, Brett K.; Hawkins, Guy E.; Newell, Ben R.
Four experiments examined the locus of impact of causal knowledge on consideration of alternative hypotheses in judgments under uncertainty. Two possible loci were examined; overcoming neglect of the alternative when developing a representation of a judgment problem and improving utilization of statistics associated with the alternative…
..., and (2) knowledge of the target's line-of-sight visibility, the competing clutter conditions, and interference at the predicted location so that the optimal radar parameters and space-time adaptive...
Yordanova, Juliana; Kolev, Vasil; Verleger, Rolf
The present study assessed the effects of awareness at encoding on off-line learning during sleep. A new framework is suggested according to which two aspects of awareness are distinguished: awareness of task information, and awareness of task processing. The number reduction task (NRT) was employed because it has two levels of organization, an overt one based on explicit knowledge of task instructions, and a covert one based on hidden abstract regularities of task structure (implicit knowled...
Miao, Yongwu; Sloep, Peter; Koper, Rob
Miao, Y., Sloep, P. B., & Koper, R. (2010). Facilitating Work Based Learning Projects: A Business Process Oriented Knowledge Management Approach. In D. Griffiths & R. Koper (Eds.), Rethinking Learning and Employment at a Time of Economic Uncertainty. Proceedings of the 6th TENCompetence Open workshop (pp. 22-33). November, 19-20, 2009, Manchester, UK. Bolton, UK: Institute for Educational Cybernetics, The University of Bolton. For the complete book please see http://hdl.handle.net/1820/3191
Rezaei, K.; Babaei, M.
This study develops a model for knowledge socialization using sociability processes of human resources through an applied research approach. Two types of participants participated in this study. The first type included academic and industrial experts; the second type included employees and managers of Ansar Bank. Ten experts were asked to identify criteria and weigh the identified criteria. Using simple random sampling, the sample size was estimated at 207. Field and archival studies were use...
material, product portfolio and process technology selection for a given market scenario, their sustainability metrics and risk of investment under market uncertainties enabling risk-aware decision making. The framework is highlighted with successful applications for soybean oil processing (food technology......, the synthesis and design of processing networks is a complex and multidisciplinary problem, which involves many strategic and tactical decisions at business (considering financial criteria, market competition, supply chain network, etc) and engineering levels (considering synthesis, design and optimization...
Zabala-Uriarte, A.; Suarez-Creo, R.; Izaga-Gmaguregi, J.
The difficulties involved in most metallurgical processes are well known, specially when the number of factors that act in then is very high. The problems are even more important if we want to forecast the process behaviour, because it is not easy to build a framework of links between the critical variables using the available information. This work takes into account the availability of several computer generic tools which, with a suitable adaptation and endowed with the specific knowledge, are able of learning the process, of connecting a lot of facts and of forecasting the product quality, sustaining at the same time the process under control. These tools manage the plant information, help to reach a robust process, increase its knowledge and improve its performance, related with the reject level in ppm. the development of this type of tools, were considered some years ago as utopian. The analytical method used is based in an initial selection of the defect that we want to study an the, factor or characteristics managing the process. Afterwards we will describe the most likely potential causes, source of the studied defect, and we will arrange then and give priority with probabilistic criteria, searching the root causes to all of them. During the running of industrial processes we will connect, through the computer program, the experimental measurements of the selected factors with the actual results, so that the system learns, and the same time we can reject the less significant variables, improving that way the reliability of the prediction. The conclusions are based in real applications, put in practice in different lines of production, for the validation of the system and the testing of its efficiency using the corresponding success index. (Author)
Gilma Álamo Sánchez
Full Text Available To analyze the strategies of reception of knowledge in quick form and the definition of derivative thought processes of the learning transpersonal, it implies the development of investigations that you/they allow to capture the meaning of the application of Superaprendizaje strategies. This way, the study is based in the neuroscience and in the pattern of the mental spheres for the interpretation of the metabolic activities of the neurons, propitiators of the recording of information, the conception of the brain triuno, model of multiple intelligence, spirituality, personality, cognitive processes, intuition, meditation, and Superaprendizaje strategies: breathing, relaxation, music, aroma, and communication assertive conscience, they conform learning transpersonal.
creators and carriers. By contrast, the explicit knowledge approach emphasizes processes for articulating knowledge held by individuals, the design of organizational approaches for creating new knowledge, and the development of systems (including information systems) to disseminate articulated knowledge...
Matsumuro, Miki; Miwa, Kazuhisa; Terai, Hitoshi; Yamada, Kento
According to dual process theory, there are two systems in the mind: an intuitive and automatic System 1 and a logical and effortful System 2. While many previous studies about number estimation have focused on simple heuristics and automatic processes, the deliberative System 2 process has not been sufficiently studied. This study focused on the System 2 process for large number estimation. First, we described an estimation process based on participants’ verbal reports. The task, corresponding to the problem-solving process, consisted of creating subgoals, retrieving values, and applying operations. Second, we investigated the influence of such deliberative process by System 2 on intuitive estimation by System 1, using anchoring effects. The results of the experiment showed that the System 2 process could mitigate anchoring effects.
Full Text Available Purpose of the article: The paper is involved in the utilization of the knowledge in the process of the competitive advantage improvement by means of the perspective marketing tool - advergaming. The objective of the article is the informing on the possibilities of the use of the knowledge in the field of the advergaming as the possible tool in the marketing communication, leading to the improvement of the competitive advantage of the companies. Scientific aim: Research objective was to identify how knowledge management is used in the Czech companies with respect to their size. Specific aspect of our research was an influence of knowledge management on a decision making process. On the base of results we have identified the requirement of usage of knowledge management in the area of advertgaming. We argue that this is a possible approach improving competitiveness of companies. Methodology/methods: Data for this paper are the data from the research carried out in the Czech companies. This survey focuses on the share of the application of the knowledge management in surveyed companies. 265 companies from the whole Czech Republic, various segments and industries, starting with the tourism, building industry, hotel industry, transport and ending with the manufacturing and distribution of the detergents and the distribution of the medical materials, were involved in the research. The companies were selected randomly. The necessary data were collected from the total number of 265 companies by means of the questionnaire research, and in certain cases the structured interview was used. The synthesis from the individual parts was made, on the basis of which the following conclusions were based. Findings: The paper identifies the method of the use of the knowledge in the advergaming as a possible starting point for the potential model of the utilization of the knowledge in the marketing communication. Conclusions: (limits, implications
Veen, van der M.E.; Veelaert, S.; Goot, van der A.J.; Boom, R.M.
A process concept is presented for the hydrolysis of starch to glucose in highly concentrated systems. Depending on the moisture content, the process consists of two or three stages. The two-stage process comprises combined thermal and enzymatic liquefaction, followed by enzymatic saccharification.
Wang, Lei; Wombacher, Andreas; Ferreira Pires, Luis; van Sinderen, Marten J.; Chi, Chihung
With the possibility of system crashes and network failures, the design of robust client/server interactions for collaborative process execution is a challenge. If a business process changes its state, it sends messages to the relevant processes to inform about this change. However, server crashes
Majone, M.; Dircks, K.
In activated sludge processes, several plant configurations (like plug-flow configuration of the aeration tanks, systems with selectors, contact-stabilization processes or SBR processes) impose a concentration gradient of the carbon sources to the biomass. As a consequence, the biomass grows unde...
Jonker, Tanya R.; MacLeod, Colin M.
McDaniel and Bugg (2008) proposed that relatively uncommon stimuli and encoding tasks encourage elaborative encoding of individual items (item-specific processing), whereas relatively typical or common encoding tasks encourage encoding of associations among list items (relational processing). It is this relational processing that is thought to…
Scott, Shannon D; Rotter, Thomas; Hartling, Lisa; Chambers, Thane; Bannar-Martin, Katherine H
Experimental designs for evaluating knowledge translation (KT) interventions for professional behavior change can provide strong estimates of intervention effectiveness but offer limited insight how the intervention worked or not. Furthermore, trials provide little insight into the ways through which interventions lead to behavior change and how they are moderated by different facilitators and barriers. As a result, the ability to generalize the findings from one study to a different context, organization, or clinical problem is severely compromised. Consequently, researchers have started to explore the causal mechanisms in complementary studies (process evaluations) alongside experimental designs for evaluating KT interventions. This study focuses on improving process evaluations by synthesizing current evidence on process evaluations conducted alongside experimental designs for evaluating KT interventions. A medical research librarian will develop and implement search strategies designed to identify evidence that is relevant to process evaluations in health research. Studies will not be excluded based on design. Included studies must contain a process evaluation component aimed at understanding or evaluating a KT intervention targeting professional behavior change. Two reviewers will perform study selection, quality assessment, and data extraction using standard forms. Disagreements will be resolved through discussion or third party adjudication. Data to be collected include study design, details about data collection approaches and types, theoretical influences, approaches to evaluate intervention dose delivered, intervention dose received, intervention fidelity, intervention reach, data analysis, and study outcomes. This study is not registered with PROSPERO. There is widespread acceptance that the generalizability of quantitative trials of KT interventions would be significantly enhanced to other contexts, health professional groups, and clinical conditions
Peters, Frederic; Majerus, Steve; De Baerdemaeker, Julie; Salmon, Eric; Collette, Fabienne
A decrease in verbal short-term memory (STM) capacity is consistently observed in patients with Alzheimer's disease (AD). Although this impairment has been mainly attributed to attentional deficits during encoding and maintenance, the progressive deterioration of semantic knowledge in early stages of AD may also be an important determinant of poor…
Schreck, Kimberly A; Richdale, Amanda L
Evidence demonstrates that health professionals have limited knowledge about childhood sleep, frequently do not screen for these problems and often rely on parents to raise sleep issues at clinic visits. However, little is known about parents' sleep knowledge. The goal of this study was to assess parents' knowledge of sleep and specifically: (i) sleep aspects related to the age of children; (ii) developmentally normal sleep; and (iii) sleep problems that may lead to parents' ability to raise sleep issues at clinic visits. This study evaluated the knowledge of 170 parents of children aged 2-17 years about infant, child and adolescent sleep patterns and problems. The majority of parents could not answer correctly questions about developmental sleep patterns or sleep problems, but were more likely to answer correctly questions about normal infant sleep patterns and about sleep problems during waking hours. Parents also were more likely to answer 'don't know' to questions about: (i) older children and adolescents; (ii) sleep apnea; and (iii) dreams and nightmares. The implications of these findings for the identification, intervention and prevention of childhood sleep problems are discussed. 2011 European Sleep Research Society.
Dokas, Ioannis M; Panagiotakopoulos, Demetrios C
The available expertise on managing and operating solid waste management (SWM) facilities varies among countries and among types of facilities. Few experts are willing to record their experience, while few researchers systematically investigate the chains of events that could trigger operational failures in a facility; expertise acquisition and dissemination, in SWM, is neither popular nor easy, despite the great need for it. This paper presents a knowledge acquisition process aimed at capturing, codifying and expanding reliable expertise and propagating it to non-experts. The knowledge engineer (KE), the person performing the acquisition, must identify the events (or causes) that could trigger a failure, determine whether a specific event could trigger more than one failure, and establish how various events are related among themselves and how they are linked to specific operational problems. The proposed process, which utilizes logic diagrams (fault trees) widely used in system safety and reliability analyses, was used for the analysis of 24 common landfill operational problems. The acquired knowledge led to the development of a web-based expert system (Landfill Operation Management Advisor, http://loma.civil.duth.gr), which estimates the occurrence possibility of operational problems, provides advice and suggests solutions.
Antle, David M; MacKinnon, Scott N; Molgaard, John; Vézina, Nicole; Parent, Robert; Bornstein, Stephen; Leclerc, Louise
This case study reviews the knowledge transfer (KT) process of implementing a knife sharpening and steeling program into a poultry processing plant via a participatory ergonomics intervention. This ergonomics intervention required stakeholder participation at the company level to move a 'train-the-trainer' program, developed in Québec, Canada, into action on the plant's deboning line. Communications and exchanges with key stakeholders, as well as changes in steeling and production behaviours were recorded. The intervention was assumed to be at least partially successful because positive changes in work operations occurred. Ergonomic-related changes such as those documented have been cited in the academic literature as beneficial to worker health. However, several components cited in literature that are associated with a successful participatory ergonomics intervention were not attained during the project. A Dynamic Knowledge Transfer Model was used to identify KT issues that impacted on the success of train-the-trainer program. A debriefing analysis reveals that a failure to consider key participatory ergonomics factors necessary for success were related to capacity deficits in the knowledge dissemination strategy.
Full Text Available This study develops a model for knowledge socialization using sociability processes of human resources through an applied research approach. Two types of participants participated in this study. The first type included academic and industrial experts; the second type included employees and managers of Ansar Bank. Ten experts were asked to identify criteria and weigh the identified criteria. Using simple random sampling, the sample size was estimated at 207. Field and archival studies were used to collect data. Validity and reliability of the distributed questionnaire were confirmed by organizational experts. Using theoretical literature and surveying experts, 18 criteria were identified of which 12 criteria (desirable and joyful workplace, management and leadership support in sociability process, training courses, transparency in working relations, team work, organizational trustful climate, job description and job knowledge, tangible incentives, participatory system, informal technique, defined career path, individual values aligned with organizational value were selected by screening for prioritization and analysis. Fuzzy AHP and structural equation modelling based on partial least squares were used for prioritization and weighting. Fuzzy AHP model showed that desirable workplace (0.163, participatory systems and brainstorming (0.149, transparency in working relations (0.114, and informal techniques (0.111 gained the highest weights; finally, PLS model showed that all 12 identified criteria were effective on socialization of knowledge management.
Full Text Available Vocabulary knowledge is central to a speaker's command of their language. In previous research, greater vocabulary knowledge has been associated with advantages in language processing. In this study, we examined the relationship between individual differences in vocabulary and language processing performance more closely by (i using a battery of vocabulary tests instead of just one test, and (ii testing not only university students (Experiment 1 but young adults from a broader range of educational backgrounds (Experiment 2. Five vocabulary tests were developed, including multiple-choice and open antonym and synonym tests and a definition test, and administered together with two established measures of vocabulary. Language processing performance was measured using a lexical decision task. In Experiment 1, vocabulary and word frequency were found to predict word recognition speed while we did not observe an interaction between the effects. In Experiment 2, word recognition performance was predicted by word frequency and the interaction between word frequency and vocabulary, with high-vocabulary individuals showing smaller frequency effects. While overall the individual vocabulary tests were correlated and showed similar relationships with language processing as compared to a composite measure of all tests, they appeared to share less variance in Experiment 2 than in Experiment 1. Implications of our findings concerning the assessment of vocabulary size in individual differences studies and the investigation of individuals from more varied backgrounds are discussed.
Mainz, Nina; Shao, Zeshu; Brysbaert, Marc; Meyer, Antje S.
Vocabulary knowledge is central to a speaker's command of their language. In previous research, greater vocabulary knowledge has been associated with advantages in language processing. In this study, we examined the relationship between individual differences in vocabulary and language processing performance more closely by (i) using a battery of vocabulary tests instead of just one test, and (ii) testing not only university students (Experiment 1) but young adults from a broader range of educational backgrounds (Experiment 2). Five vocabulary tests were developed, including multiple-choice and open antonym and synonym tests and a definition test, and administered together with two established measures of vocabulary. Language processing performance was measured using a lexical decision task. In Experiment 1, vocabulary and word frequency were found to predict word recognition speed while we did not observe an interaction between the effects. In Experiment 2, word recognition performance was predicted by word frequency and the interaction between word frequency and vocabulary, with high-vocabulary individuals showing smaller frequency effects. While overall the individual vocabulary tests were correlated and showed similar relationships with language processing as compared to a composite measure of all tests, they appeared to share less variance in Experiment 2 than in Experiment 1. Implications of our findings concerning the assessment of vocabulary size in individual differences studies and the investigation of individuals from more varied backgrounds are discussed. PMID:28751871
In physics teacher education, two central goals are first to learn the structures of physics knowledge, and second the processes of its construction. To know the structure is to know the framework of concepts and laws; to know the processes is to know where the knowledge comes from, how the framework is constructed, and how it can be justified.…
Patricia de Sá Freire
Full Text Available This study examined the perception of a family business’ employees over changes brought about by the company’s succession procsess through the identification of existing problems and the probabilities of overcoming them. The company was classified as a family business organization as per Bernhoeft´s (1991 definition, and the perspectives proposed by Motta (2001 were used as a basis for change analysis. The succession challenges were studied through the knowledge management viewpoint. The methodological approach is characterized as a qualitative descriptive study done through interviews and document analysis. Quantitative data was used, with the application of questionnaires in order to obtain primary data. Data analysis is mainly characterized by its qualitative and descriptive content. After data analysis, the following issues were detected: (1 lack of or inneficient internal communication, (2 the decision making process was either slow or not committed to the desired results and (3 there was either dual leadership or no leadership. It was concluded that in order to achieve the objectives of the changes, it would require a new look into the intraorganizational integration to eliminate features of the family business such as lack of dialogue and unilateral decisions. It is finally suggested the use of strategies for sharing information and knowledge that will pave the way for understanding the entire succession process, overcoming uncertainties and individual resistance. Thus, the inclusion of Knowledge Management in the family business succession process will result in more aware leaders, managers and employees in terms of change of power during the mentioned process.
Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor
Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require continuous information monitoring and integration present novel opportunities and challenges for Semantic Web technologies. Semantic Web is promising to model diverse Smart Grid domain knowledge for enhanced situation awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic analysis of sensor measurements. In this paper, we combine semantic web and complex event processing for stream based semantic querying. We illustrate its adoption in the USC Campus Micro-Grid for detecting and enacting dynamic response strategies to peak power situations by diverse user roles. We also describe the semantic ontology and event query model that supports this. Further, we introduce and evaluate caching techniques to improve the response time for semantic event queries to meet our application needs and enable sustainable energy management.
Shortall, Ruth; Uihlein, Andreas
Introduction The NER 300 programme, managed by the European Commission is one of the largest funding programmes for innovative low-carbon energy demonstration projects. NER 300 is so called because it is funded from the sale of 300 million emission allowances from the new entrants' reserve (NER) set up for the third phase of the EU emissions trading system (ETS). The programme aims to successfully demonstrate environmentally safe carbon capture and storage (CCS) and innovative renewable energy (RES) technologies on a commercial scale with a view to scaling up production of low-carbon technologies in the EU. Consequently, it supports a wide range of CCS and RES technologies (bioenergy, concentrated solar power, photovoltaics, geothermal, wind, ocean, hydropower, and smart grids). Funded projects and the role of geothermal projects for the programme In total, about EUR 2.1 billion have been awarded through the programme's 2 calls for proposals (the first awarded in December 2012, the second in July 2014). The programme has awarded around EUR 70 million funding to 3 geothermal projects in Hungary, Croatia and France. The Croatian geothermal project will enter into operation during 2017 the Hungarian in 2018, and the French in 2020. Knowledge Sharing Knowledge sharing requirements are built into the legal basis of the programme as a critical tool to lower risks in bridging the transition to large-scale production of innovative renewable energy and CCS deployment. Projects have to submit annually to the European Commission relevant knowledge gained during that year in the implementation of their project. The relevant knowledge is aggregated and disseminated by the European Commission to industry, research, government, NGO and other interest groups and associations in order to provide a better understanding of the practical challenges that arise in the important step of scaling up technologies and operating them at commercial scale. The knowledge sharing of the NER 300
Azarov, S.I.; Pshenichny, V.A.; Vilenskaya, L.N.; Korchevnaya, O.V.; Martseniuk, L.S.
The result of analysis of environment ionization process inside Sarcophagus owing to alpha-, beta- and gamma-radiation processes with forming of ions. It is shown that as a result of ionization and physicochemical transformations gaseous mixtures, which are dangerous for personnel's health and can influence upon general technical safety of Sarcophagus, can release into atmosphere
Watling, Dawn; Bourne, Victoria J
Understanding of emotions has been shown to develop between the ages of 4 and 10 years; however, individual differences exist in this development. While previous research has typically examined these differences in terms of developmental and/or social factors, little research has considered the possible impact of neuropsychological development on the behavioural understanding of emotions. Emotion processing tends to be lateralised to the right hemisphere of the brain in adults, yet this pattern is not as evident in children until around the age of 10 years. In this study 136 children between 5 and 10 years were given both behavioural and neuropsychological tests of emotion processing. The behavioural task examined expression regulation knowledge (ERK) for prosocial and self-presentational hypothetical interactions. The chimeric faces test was given as a measure of lateralisation for processing positive facial emotion. An interaction between age and lateralisation for emotion processing was predictive of children's ERK for only the self-presentational interactions. The relationships between children's ERK and lateralisation for emotion processing changes across the three age groups, emerging as a positive relationship in the 10-year-olds. The 10-years-olds who were more lateralised to the right hemisphere for emotion processing tended to show greater understanding of the need for regulating negative emotions during interactions that would have a self-presentational motivation. This finding suggests an association between the behavioural and neuropsychological development of emotion processing.
Full Text Available The enterprise management represents a heterogeneous aggregate of both resources and assets that need to be coordinated and orchestrated in order to reach the goals related to the business mission. Influences and forces that may influence this process, and also for that they should be considered, are not concentrated in the business environment, but they are related to the entireoperational context of a company. For this reason, business processes must be the most versatile and flexible with respect to the changes that occur within the whole operational context of a company.Considering the supportive role that information systems play in favour of Business Process Management - BPM, it is also essential to implement a constant, continuous and quick mechanism for the information system alignment with respect to the evolution followed by business processes.In particular, such mechanism must intervene on BPM systems in order to keep them aligned and compliant with respect to both the context changes and the regulations. In order to facilitate this alignment mechanism, companies are already referring to the support offered by specific solutions, such as knowledge bases. In this context, a possible solution might be the approach we propose, which is based on a specific framework called Process Management System. Our methodology implements a knowledge base support for business experts, which is not limited to the BPM operating phases, but includes also the engineering and prototyping activities of the corresponding information system. This paper aims to compare and evaluate a traditional BPM approach with respect to theapproach we propose. In effect, such analysis aims to emphasize the lack of traditional methodology especially with respect to the alignment between business processes and information systems, along with their compliance with context domain and regulations.
Full Text Available Purpose: The aim of this study is to investigate the importance of Knowledge Management as a tool for improving business processes in a different context from the industrial organizations, as an archaeological museum. Design/methodology/approach: Using data collected from the National Museum of the Sultanate of Oman in Muscat, a methodology for analysis and improvement of processes (the Business Cycle Management Process, CMP is designed and validated. This application is described as an eight phases process based on Six Sigma DMAIC. The model has a characteristic "P" shape. Findings: As the results obtained by the process improvement initiative show, we highlight the relevance of the improvement in all aspects regarding the security in showcases in that context. Research limitations/implications: The complexity of implementing indicators and the partial vision of the project as data were only obtained from a part of one of the companies involved in the construction of the museum. An important implication of this paper is in order to present a methodology to improve the museum processes focusing on the reduction of errors and also adding value for the visitors. Practical implications: The relevance to intervene on certain relevant variables at different levels of management performance is verified. Social implications: Improving the quality of leisure services in order to the identification of certain challenges regarding the nature and competitiveness of cultural services. Originality/value: The current work has served as a repository of knowledge applicable to new similar projects, in which to take into account the peculiarities of each case and in particular the level of quality demanded by the client in a cultural context. It is important to take into account the degree of avoidable dissatisfaction (number of solvable problems that would lead to dissatisfaction, the opportunity for improvement, the reduction of operational waste and the need
... consideration and processing of applications for financial assistance under the RRIF Program. FOR FURTHER...) regarding FRA's consideration and processing of applications for financial assistance under the RRIF Program... DEPARTMENT OF TRANSPORTATION Federal Railroad Administration Notice Regarding Consideration and...
Amouroux, Jacques; Cavadias, Simeon
Carbon dioxide can be converted, by reaction with hydrogen, into fine chemicals and liquid fuels such as methanol and DME. Methane production by the Sabatier reaction opens the way of carbon recycling for a circular economy of carbon resources. The catalytic process of methanation of carbon dioxide produces two molecules of water as a by-product. A current limitation in the CO 2 methanation is the ageing of catalysts, mainly due to water adsorption during the process. To avoid this adsorption, the process is operated at high temperature (300 °C–400 °C), leading to carbon deposition on the catalyst and its deactivation. To overcome this problem, a methanation plasma-catalytic process has been developed, which achieves high CO 2 conversion rate (80%), and a selectivity close to 100%, working from room temperature to 150 °C, instead of 300 °C–400 °C for the thermal catalytic process. The main characteristics of this process are high-voltage pulses of few nanoseconds duration, activating the adsorption of CO 2 in bent configuration and the polarization of the catalyst. The key step in this process is the desorption of water from the polarized catalyst. The high CO 2 conversion at low temperature could be explained by the creation of a plasma inside the nanopores of the catalyst. (paper)
Amouroux, Jacques; Cavadias, Simeon
Carbon dioxide can be converted, by reaction with hydrogen, into fine chemicals and liquid fuels such as methanol and DME. Methane production by the Sabatier reaction opens the way of carbon recycling for a circular economy of carbon resources. The catalytic process of methanation of carbon dioxide produces two molecules of water as a by-product. A current limitation in the CO2 methanation is the ageing of catalysts, mainly due to water adsorption during the process. To avoid this adsorption, the process is operated at high temperature (300 °C-400 °C), leading to carbon deposition on the catalyst and its deactivation. To overcome this problem, a methanation plasma-catalytic process has been developed, which achieves high CO2 conversion rate (80%), and a selectivity close to 100%, working from room temperature to 150 °C, instead of 300 °C-400 °C for the thermal catalytic process. The main characteristics of this process are high-voltage pulses of few nanoseconds duration, activating the adsorption of CO2 in bent configuration and the polarization of the catalyst. The key step in this process is the desorption of water from the polarized catalyst. The high CO2 conversion at low temperature could be explained by the creation of a plasma inside the nanopores of the catalyst.
Cantrell, P.; Ewing-Taylor, J.; Crippen, K. J.; Smith, K. D.; Snelson, C. M.
Education professionals and seismologists under the emerging SUN (Shaking Up Nevada) program are leveraging the existing infrastructure of the real-time Nevada K-12 Seismic Network to provide a unique inquiry based science experience for teachers. The concept and effort are driven by teacher needs and emphasize rigorous content knowledge acquisition coupled with the translation of that knowledge into an integrated seismology based earth sciences curriculum development process. We are developing a pedagogical framework, graduate level coursework, and materials to initiate the SUN model for teacher professional development in an effort to integrate the research benefits of real-time seismic data with science education needs in Nevada. A component of SUN is to evaluate teacher acquisition of qualified seismological and earth science information and pedagogy both in workshops and in the classroom and to assess the impact on student achievement. SUN's mission is to positively impact earth science education practices. With the upcoming EarthScope initiative, the program is timely and will incorporate EarthScope real-time seismic data (USArray) and educational materials in graduate course materials and teacher development programs. A number of schools in Nevada are contributing real-time data from both inexpensive and high-quality seismographs that are integrated with Nevada regional seismic network operations as well as the IRIS DMC. A powerful and unique component of the Nevada technology model is that schools can receive "stable" continuous live data feeds from 100's seismograph stations in Nevada, California and world (including live data from Earthworm systems and the IRIS DMC BUD - Buffer of Uniform Data). Students and teachers see their own networked seismograph station within a global context, as participants in regional and global monitoring. The robust real-time Internet communications protocols invoked in the Nevada network provide for local data acquisition
This document provides an overview of the Environmental Protection Agency’s (EPA) ecological risk assessment process for the evaluation of potential risk to endangered and threatened (listed) species from exposure to pesticides.
Khajuria, Harish; Pistikopoulos, Efstratios N.
The real-time periodic performance of a pressure swing adsorption (PSA) system strongly depends on the choice of key decision variables and operational considerations such as processing steps and column pressure temporal profiles, making its design
Aso, Kenji; Hanakawa, Takashi; Aso, Toshihiko; Fukuyama, Hidenao
The neural basis of temporal information processing remains unclear, but it is proposed that the cerebellum plays an important role through its internal clock or feed-forward computation functions. In this study, fMRI was used to investigate the brain networks engaged in perceptual and motor aspects of subsecond temporal processing without accompanying coprocessing of spatial information. Direct comparison between perceptual and motor aspects of time processing was made with a categorical-design analysis. The right lateral cerebellum (lobule VI) was active during a time discrimination task, whereas the left cerebellar lobule VI was activated during a timed movement generation task. These findings were consistent with the idea that the cerebellum contributed to subsecond time processing in both perceptual and motor aspects. The feed-forward computational theory of the cerebellum predicted increased cerebro-cerebellar interactions during time information processing. In fact, a psychophysiological interaction analysis identified the supplementary motor and dorsal premotor areas, which had a significant functional connectivity with the right cerebellar region during a time discrimination task and with the left lateral cerebellum during a timed movement generation task. The involvement of cerebro-cerebellar interactions may provide supportive evidence that temporal information processing relies on the simulation of timing information through feed-forward computation in the cerebellum.
Lachner, Andreas; Nückles, Matthias
In two studies, we investigated the impact of instructors' different knowledge bases on the quality of their instructional explanations. In Study 1, we asked 20 mathematics teachers (with high pedagogical content knowledge, but lower content knowledge) and 15 mathematicians (with lower pedagogical content knowledge, but high content knowledge) to…
Lechasseur, Kathleen; Lazure, Ginette; Guilbert, Louise
This paper is a report of a qualitative study of mobilization of knowledge within the critical thinking process deployed by female undergraduate nursing students in practical care situations. Holistic practice is based on variety of knowledge mobilized by a critical thinking process. Novices and, more specifically, students experience many difficulties in this regard. Therefore, a better understanding of the knowledge they mobilize in their practice is important for nurse educators. A qualitative study, guided by grounded theory, was carried out. Sixteen nursing students, registered in an undergraduate programme in an Eastern Canadian university, were recruited. Descriptions of practical care situations were obtained through explicitation interviews in 2007. A sociodemographic questionnaire, semi-structured interviews and field notes were also used. Data were analysed using an approach based on grounded theory. An additional stage of analysis involved data condensation. Various types of knowledge guide nursing students' practice. These include intrapersonal, interpersonal, perceptual, moral/ethical, experiential, practical, scientific and contextual knowledge. The mobilization of these types of knowledge is only possible when the process of critical thinking has attained a higher level, giving rise to a new knowledge that we have termed combinational constructive knowledge rather than aesthetic knowledge. Clarification of the types of knowledge guiding the practice of student nurses and of the role of critical thinking in their mobilization could lead to innovative educational strategies. The findings provide guidance for the revision and development of both academic and clinical training programmes. © 2011 Blackwell Publishing Ltd.
The central questions of the present study were:1. does base line hormonal state determine agonistic behavior in male-male encounters? 2. does agonistic behavior affect hormonal state? Such an interrelationship between agonistic behavior and hormonal processes might serve as a regulatory system for
Salazar, J.; Diwekar, U.; Zitney, S.
Integrated gasification combined cycle (IGCC) technology is becoming increasingly important for the development of advanced power generation systems. As an emerging technology different process configurations have been heuristically proposed for IGCC processes. One of these schemes combines water-gas shift reaction and chemical-looping combustion for the CO2 removal prior the fuel gas is fed to the gas turbine reducing its size (improving economic performance) and producing sequestration-ready CO2 (improving its cleanness potential). However, these schemes have not been energetically integrated and process synthesis techniques can be used to obtain optimal flowsheets and designs. This work studies the heat exchange network synthesis (HENS) for the water-gas shift reaction train employing a set of alternative designs provided by Aspen energy analyzer (AEA) and combined in a process superstructure that was simulated in Aspen Plus (AP). For the alternative designs, large differences in the performance parameters (for instance, the utility requirements) predictions from AEA and AP were observed, suggesting the necessity of solving the HENS problem within the AP simulation environment and avoiding the AEA simplifications. A CAPE-OPEN compliant capability which makes use of a MINLP algorithm for sequential modular simulators was employed to obtain a heat exchange network that provided a cost of energy that was 27% lower than the base case.
Smith, M.; Stevens, S.; Elam, K.; Vrba, J.
Fuzzy mathematics and fuzzy logic are means for making decisions that can integrate complicated combinations of hard and soft factors and produce mathematically validated results that can be independently verified. In this particular application, several sources of information regarding the waste stream have been compiled, including facility operating records, other waste generated from the facility in the past, laboratory analysis results, and interviews with facility personnel. A fuzzy mathematics model is used to interrelate these various sources of information and arrive at a defensible estimate of the contaminant concentration in the final waste product. The model accounts for the separate process knowledge-based contaminant concentrations by providing a weighted averaging technique to incorporate information from the various sources. Reliability estimates are provided for each of the component pieces of information and combined using the model into an estimate that provides a near-probabilistic value for contaminant concentration. The speadsheet accounts for the estimated uncertainty in the concentration on the basis of open-quotes reliability curves,close quotes which are derived from personal process knowledge as well as limited independent measurements
Janiszowski Krzysztof B.
Full Text Available An approach to estimation of a parametric discrete-time model of a process in the case of some a priori knowledge of the investigated process properties is presented. The knowledge of plant properties is introduced in the form of linear bounds, which can be determined for the coefficient vector of the parametric model studied. The approach yields special biased estimation of model coefficients that preserves demanded properties. A formula for estimation of the model coefficients is derived and combined with a recursive scheme determined for minimization of the sum of absolute model errors. The estimation problem of a model with known static gains of inputs is discussed and proper formulas are derived. This approach can overcome the non-identifiability problem which has been observed during estimation based on measurements recorded in industrial closed-loop control systems. The application of the proposed approach to estimation of a model for an industrial plant (a water injector into the steam flow in a power plant is presented and discussed.
Marty, J.C.; Ramparany, F.
This paper presents a general overview of the ACKnowledge Project (Acquisition of Knowledge). Knowledge Acquisition is a critical and time-consuming phase in the development of expert systems. The ACKnowledge project aims at improving the efficiency of knowledge acquisition by analyzing and evaluating knowledge acquisition techniques, and developing a Knowledge Engineering Workbench that supports the Knowledge Engineer from the early stage of knowledge aquisition up to the implementation of the knowledge base in large and complex application domains such as the diagnosis of dynamic computer networks
Holmes, Keith; Crossley, Michael
This paper draws upon a case study of education in the small Caribbean state of Saint Lucia (population 154,000) to examine how local knowledge and values can influence the education policy process. It is argued that recent research development initiatives have strengthened the ability of Saint Lucia to mediate international education agendas to…
for the two RMTs, it is shown that forward masking effects only have a significant effect on reflection masking for delays above 7–10 ms. Moreover, binaural mechanisms were revealed which deteriorate auditory detection of test reflections for delays below 7–10 ms and enhance detection for larger delays....... The monaural and binaural processes that may underlie reflection masking are discussed in terms of auditory-modelling concepts....
Conner, Christopher R.; Chen, Gang; Pieters, Thomas A.; Tandon, Nitin
The constituent elements and dynamics of the networks responsible for word production are a central issue to understanding human language. Of particular interest is their dependency on lexical category, particularly the possible segregation of nouns and verbs into separate processing streams. We applied a novel mixed-effects, multilevel analysis to electrocorticographic data collected from 19 patients (1942 electrodes) to examine the activity of broadly disseminated cortical networks during t...
Full Text Available Introduction. Event-related brain potentials (ERP provide important information about the sensitivity of the brain to process varying risks. The aim of the present study was to determine how different risk levels are reflected in decision-related ERPs, namely the feedback-related negativity (FRN and the P300. Material and Methods. 20 participants conducted a probabilistic two-choice gambling task while an electroencephalogram was recorded. Choices were provided between a low-risk option yielding low rewards and low losses and a high-risk option yielding high rewards and high losses. While options differed in expected risks, they were equal in expected values and in feedback probabilities. Results. At the behavioral level, participants were generally risk-averse but modulated their risk-taking behavior according to reward history. An early positivity (P200 was enhanced on negative feedbacks in high-risk compared to low-risk options. With regard to the FRN, there were significant amplitude differences between positive and negative feedbacks in high-risk options, but not in low-risk options. While the FRN on negative feedbacks did not vary with decision riskiness, reduced amplitudes were found for positive feedbacks in high-risk relative to low-risk choices. P300 amplitudes were larger in high-risk decisions, and in an additive way, after negative compared to positive feedback. Discussion. The present study revealed significant influences of risk and valence processing on ERPs. FRN findings suggest that the reward prediction error signal is increased after high-risk decisions. The increased P200 on negative feedback in risky decisions suggests that large negative prediction errors are processed as early as in the P200 time range. The later P300 amplitude is sensitive to feedback valence as well as to the risk of a decision. Thus, the P300 carries additional information for reward processing, mainly the enhanced motivational significance of risky
Svensson, Elin; Stroemberg, Ann-Brith; Patriksson, Michael
The long-term economic outcome of energy-related industrial investment projects is difficult to evaluate because of uncertain energy market conditions. In this article, a general, multistage, stochastic programming model for the optimization of investments in process integration and industrial energy technologies is proposed. The problem is formulated as a mixed-binary linear programming model where uncertainties are modelled using a scenario-based approach. The objective is to maximize the expected net present value of the investments which enables heat savings and decreased energy imports or increased energy exports at an industrial plant. The proposed modelling approach enables a long-term planning of industrial, energy-related investments through the simultaneous optimization of immediate and later decisions. The stochastic programming approach is also suitable for modelling what is possibly complex process integration constraints. The general model formulation presented here is a suitable basis for more specialized case studies dealing with optimization of investments in energy efficiency. -- Highlights: → Stochastic programming approach to long-term planning of process integration investments. → Extensive mathematical model formulation. → Multi-stage investment decisions and scenario-based modelling of uncertain energy prices. → Results illustrate how investments made now affect later investment and operation opportunities. → Approach for evaluation of robustness with respect to variations in probability distribution.
Conner, Christopher R; Chen, Gang; Pieters, Thomas A; Tandon, Nitin
The constituent elements and dynamics of the networks responsible for word production are a central issue to understanding human language. Of particular interest is their dependency on lexical category, particularly the possible segregation of nouns and verbs into separate processing streams. We applied a novel mixed-effects, multilevel analysis to electrocorticographic data collected from 19 patients (1942 electrodes) to examine the activity of broadly disseminated cortical networks during the retrieval of distinct lexical categories. This approach was designed to overcome the issues of sparse sampling and individual variability inherent to invasive electrophysiology. Both noun and verb generation evoked overlapping, yet distinct nonhierarchical processes favoring ventral and dorsal visual streams, respectively. Notable differences in activity patterns were noted in Broca's area and superior lateral temporo-occipital regions (verb > noun) and in parahippocampal and fusiform cortices (noun > verb). Comparisons with functional magnetic resonance imaging (fMRI) results yielded a strong correlation of blood oxygen level-dependent signal and gamma power and an independent estimate of group size needed for fMRI studies of cognition. Our findings imply parallel, lexical category-specific processes and reconcile discrepancies between lesional and functional imaging studies. © The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: email@example.com.
Full Text Available Previous neuroimaging studies on decision making have mainly focused on decisions on behalf of oneself. Considering that people often make decisions on behalf of others, it is intriguing that there is little neurobiological evidence on how decisions for others differ from those for self. Thus, the present study focused on the direct comparison between risky decisions for self and those for other using functional magnetic resonance imaging (fMRI. Participants (N = 23 were asked to perform a gambling task for themselves (decision-for-self condition or for another person (decision-for-other condition while in the scanner. Their task was to choose between a low-risk option (i.e., win or lose 10 points and a high-risk option (i.e., win or lose 90 points. The winning probabilities of each option varied from 17% to 83%. Compared to choices for others, choices for self were more risk-averse at lower winning probability and more risk-seeking at higher winning probability, perhaps due to stronger affective process during risky decision for self compared to other. The brain activation pattern changed according to the target of the decision, such that reward-related regions were more active in the decision-for-self condition than in the decision-for-other condition, whereas brain regions related to the theory of mind (ToM showed greater activation in the decision-for-other condition than in the decision-for-self condition. A parametric modulation analysis reflecting each individual’s decision model revealed that activation of the amygdala and the dorsomedial prefrontal cortex (DMPFC were associated with value computation for self and for other, respectively, during a risky financial decision. The present study suggests that decisions for self and other may recruit fundamentally distinctive neural processes, which can be mainly characterized by dominant affective/impulsive and cognitive/regulatory processes, respectively.
Jung, Daehyun; Sul, Sunhae; Kim, Hackjin
Previous neuroimaging studies on decision making have mainly focused on decisions on behalf of oneself. Considering that people often make decisions on behalf of others, it is intriguing that there is little neurobiological evidence on how decisions for others differ from those for oneself. The present study directly compared risky decisions for self with those for another person using functional magnetic resonance imaging (fMRI). Participants were asked to perform a gambling task on behalf of themselves (decision-for-self condition) or another person (decision-for-other condition) while in the scanner. Their task was to choose between a low-risk option (i.e., win or lose 10 points) and a high-risk option (i.e., win or lose 90 points) with variable levels of winning probability. Compared with choices regarding others, those regarding oneself were more risk-averse at lower winning probabilities and more risk-seeking at higher winning probabilities, perhaps due to stronger affective process during risky decisions for oneself compared with those for other. The brain-activation pattern changed according to the target, such that reward-related regions were more active in the decision-for-self condition than in the decision-for-other condition, whereas brain regions related to the theory of mind (ToM) showed greater activation in the decision-for-other condition than in the decision-for-self condition. Parametric modulation analysis using individual decision models revealed that activation of the amygdala and the dorsomedial prefrontal cortex (DMPFC) were associated with value computations for oneself and for another, respectively, during risky financial decisions. The results of the present study suggest that decisions for oneself and for other may recruit fundamentally distinct neural processes, which can be mainly characterized as dominant affective/impulsive and cognitive/regulatory processes, respectively. PMID:23519016
Dara B. Duncan
Full Text Available Attrition of undergraduates from Biology majors is a long-standing problem. Introductory courses that fail to engage students or spark their curiosity by emphasizing the open-ended and creative nature of biological investigation and discovery could contribute to student detachment from the field. Our hypothesis was that introductory biology books devote relatively few figures to illustration of the design and interpretation of experiments or field studies, thereby de-emphasizing the scientific process.To investigate this possibility, we examined figures in six Introductory Biology textbooks published in 2008. On average, multistep scientific investigations were presented in fewer than 5% of the hundreds of figures in each book. Devoting such a small percentage of figures to the processes by which discoveries are made discourages an emphasis on scientific thinking. We suggest that by increasing significantly the illustration of scientific investigations, textbooks could support undergraduates’ early interest in biology, stimulate the development of design and analytical skills, and inspire some students to participate in investigations of their own.
This article is the second of two that examine some of the claims of contemporary sociology of scientific knowledge (SSK) and the bearing of these claims upon the rationale and practice of science teaching. In the present article the celebrated work Laboratory Life of Latour and Woolgar is critically examined. Its radical, iconoclastic view of science is shown to be not merely without foundation but an extravagant deconstructionist nihilism according to which all science is fiction and the world is said to be socially constructed by negotiation. On this view, the success of a theory is not due to its intellectual merits or explanatory plausibility but to the capacity of its proponents to “extract compliance” from others. If warranted, such views pose a revolutionary challenge to the entire Western tradition of science and the goals of science education which must be misguided and unrealizable in principle. Fortunately, there is little reason to take these views seriously, though their widespread popularity is cause for concern among science educators.
Full Text Available The paper deals with the evaluation of the intensity of certain soil biochemical processes (e.g. soil organic C mineralization at Organic and mixed Mineral+Organic fertilization of typical chernozem in crop rotation dynamics (for 6 years by use of eco-physiological indicators of biological soil quality: microbial biomass carbon, basal soil respiration, as well as, microbial and metabolic quotients. Soil sampling was performed from a long-term field crop experiment, which has been established in 1971 at the Balti steppe (Northern Moldova. The crop types had a more considerable impact on the soil microbial biomass accumulation and community biochemical activity compared to long-term Organic or mixed Mineral + Organic fertilizers amendments. The Org fertilization system doesn’t make it possible to avoid the loss of organic C in arable typical chernozem. The organic fertilizer (cattle manure is able to mitigate the negative consequences of long-term mineral fertilization.
Swadesh Kumar Singh
Full Text Available Metal forming is one of the most important steps in manufacturing of a large variety of products. Ironing in deep drawing is done by adjusting the clearance between the punch and the die and allow the material flow over the punch. In the present investigation effect of extent of ironing behavior on the characteristics of the product like thickness distribution with respect to temperature was studied. With the help of finite element simulation using explicit finite element code LS-DYNA the stress in the drawn cup were predicted in the drawn cup. To increase the accuracy in the simulation process, numbers of integration points were increased in the thickness direction and it was found that there is very close prediction of finite element results to that of experimental ones.
Korenak, Jasmina; Zarebska, Agata; Buksek, Hermina
the active membrane layer is facing draw solution. Osmosis process can be affected by several factors, such as operating conditions (temperature and cross flow velocity), feed and draw solution properties, and membrane characteristics. These factors can significantly contribute to the efficiency......, and total dissolved solids. Taken together our results can contribute understanding of the how performance of asymmetric FO membranes can be enhanced by feed and draw properties, membrane characteristics and operational conditions.......The transport of water molecules across a semi-permeable membrane is driven by the osmotic pressure difference between feed and draw solution. Two different operational modes can be distinguished, namely FO mode when the active membrane layer is facing the wastewater (feed), and PRO mode when...
Novara, Agata; Scalenghe, Riccardo; Minacapilli, Mario; Maltese, Antonino; Capodici, Fulvio; Borgogno Mondino, Enrico; Gristina, Luciano
Soil erosion processes in vineyards beyond water runoff and sediment transport have a strong effect on soil organic carbon loss (SOC) and redistribution along the slope. The variation of SOC across the landscape determines a difference in soil fertility and vine productivity. The aim of this research was to study erosion of a Mediterranean vineyard, develop an approach to estimate the SOC loss, correlate the vines vigor with sediment and carbon erosion. The study was carried out in a Sicilian (Italy) vineyard, planted in 2011. Along the slope, six pedons were studied by digging 6 pits up to 60cm depth. Soil was sampled in each pedon every 10cm and SOC was analyzed. Soil erosion, detachment and deposition areas were measured by pole height method. The vigor of vegetation was expressed in term of NDVI (Normalized difference Vegetation Index) derived from a satellite image (RapidEye) acquired at berry pre-veraison stage (July) and characterized by 5 spectral bands in the shortwave region, including a band in the red wavelength (R, 630-685 nm) and in the near infrared (NIR, 760-850 nm) . Results showed that soil erosion, sediments redistribution and SOC across the hill was strongly affected by topographic features, slope and curvature. The erosion rate was 46Mg ha-1 y-1 during the first 6 years since planting. The SOC redistribution was strongly correlated with the detachment or deposition area as highlighted by pole height measurements. The approach developed to estimate the SOC loss showed that during the whole study period the off-farm SOC amounts to 1.6Mg C ha-1. As highlighted by NDVI results, the plant vigor is strong correlated with SOC content and therefore, developing an accurate NDVI approach could be useful to detect the vineyard areas characterized by low fertility due to erosion process.
Binns, K E
The superior colliculus (SC) is one of the most ancient regions of the vertebrate central sensory system. In this hub afferents from several sensory pathways converge, and an extensive range of neural circuits enable primary sensory processing, multi-sensory integration and the generation of motor commands for orientation behaviours. The SC has a laminar structure and is usually considered in two parts; the superficial visual layers and the deep multi-modal/motor layers. Neurones in the superficial layers integrate visual information from the retina, cortex and other sources, while the deep layers draw together data from many cortical and sub-cortical sensory areas, including the superficial layers, to generate motor commands. Functional studies in anaesthetized subjects and in slice preparations have used pharmacological tools to probe some of the SC's interacting circuits. The studies reviewed here reveal important roles for ionotropic glutamate receptors in the mediation of sensory inputs to the SC and in transmission between the superficial and deep layers. N-methyl-D-aspartate receptors appear to have special responsibility for the temporal matching of retinal and cortical activity in the superficial layers and for the integration of multiple sensory data-streams in the deep layers. Sensory responses are shaped by intrinsic inhibitory mechanisms mediated by GABA(A) and GABA(B) receptors and influenced by nicotinic acetylcholine receptors. These sensory and motor-command activities of SC neurones are modulated by levels of arousal through extrinsic connections containing GABA, serotonin and other transmitters. It is possible to naturally stimulate many of the SC's sensory and non-sensory inputs either independently or simultaneously and this brain area is an ideal location in which to study: (a) interactions between inputs from the same sensory system; (b) the integration of inputs from several sensory systems; and (c) the influence of non-sensory systems on
Amanda M Cooksey
Full Text Available Attrition of students from aviation training is a serious financial and operational concern for the U.S. Navy. Each late stage navy aviator training failure costs the taxpayer over $1,000,000 and ultimately results in decreased operational readiness of the fleet. Currently, potential aviators are selected based on the Aviation Selection Test Battery (ASTB, which is a series of multiple-choice tests that evaluate basic and aviation-related knowledge and ability. However, the ASTB does not evaluate a person's response to stress. This is important because operating sophisticated aircraft demands exceptional performance and causes high psychological stress. Some people are more resistant to this type of stress, and consequently better able to cope with the demands of naval aviation, than others.Although many psychological studies have examined psychological stress resistance none have taken advantage of the human genome sequence. Here we use high-throughput -omic biology methods and a novel statistical data normalization method to identify plasma proteins associated with human performance under psychological stress. We identified proteins involved in four basic physiological processes: innate immunity, cardiac function, coagulation and plasma lipid physiology.The proteins identified here further elucidate the physiological response to psychological stress and suggest a hypothesis that stress-susceptible pilots may be more prone to shock. This work also provides potential biomarkers for screening humans for capability of superior performance under stress.
van Gelderen, Amos; Schoonen, Rob; de Glopper, Kees; Hulstijn, Jan; Simis, Annegien; Snellings, Patrick; Stevenson, Marie
The authors report results of a study into the role of components of first-language (L1; Dutch) and second-language (L2; English) reading comprehension. Differences in the contributions of components of L1 and L2 reading comprehension are analyzed, in particular processing speed in L1 and L2.
van Gelderen, A.; Schoonen, R.; de Glopper, K.; Hulstijn, J.; Simis, A.; Snellings, P.; Stevenson, M.
The authors report results of a study into the role of components of first-language (L1; Dutch) and second-language (L2; English) reading comprehension. Differences in the contributions of components of L1 and L2 reading comprehension are analyzed, in particular processing speed in L1 and L2.
Full Text Available Czech construction sector is at the initial stages of implementing and assessing Building Information Management (BIM on pilot projects. Object modeling developed over the last 20 years is seemed as a stable ground for many professionals. 3D data models are basis for further concepts associated with BIM, helping to support Co-ordinated Project Information (CPI and Integrated Project Delivery (IPD. This paper presents the role of managing knowledge, information and critical success factors (CSF associated with BIM implementation within the construction industry in the Czech Republic. Determining the CSF in the context of BIM maturity levels should support BIM implementation processes within the construction industry and also within the associated bodies (education, government, technology.
Sharma, Vivekanand; Law, Wayne; Balick, Michael J; Sarkar, Indra Neil
The growing amount of data describing historical medicinal uses of plants from digitization efforts provides the opportunity to develop systematic approaches for identifying potential plant-based therapies. However, the task of cataloguing plant use information from natural language text is a challenging task for ethnobotanists. To date, there have been only limited adoption of informatics approaches used for supporting the identification of ethnobotanical information associated with medicinal uses. This study explored the feasibility of using biomedical terminologies and natural language processing approaches for extracting relevant plant-associated therapeutic use information from historical biodiversity literature collection available from the Biodiversity Heritage Library. The results from this preliminary study suggest that there is potential utility of informatics methods to identify medicinal plant knowledge from digitized resources as well as highlight opportunities for improvement.
Østergaard, Rina; Sorensen, Elsebeth Korsgaard
goals. In relation to objectives of competencies, attention is given to creative, innovative and action-oriented types. This paper addresses the role of OER in design of innovative, networked learning processes in diverse educational contexts of higher education, continuing education and in relation......Within professional education a recent shift has taken place. Professional education has moved from specialized education and update of professional knowledge, over competence-based education, to, recently, education with goals such as creativity, innovation, entrepreneur- and entrepreneurship....... OECDs Centre for Educational Research and Innovation (CERI) reveals this tendency. The core idea here is that education, in a very goal-directed way, supports initiatives, which – in turn – results in added-value to society. As such, the educational shift may be interpreted as related to societal change...
Cristiano Mauro Assis Gomes
Full Text Available The current study postulates that students' self-reported perceptions on their academic processes are a type of metacognition: academic metacognitive knowledge (AMcK. We investigated, using Structural Equation Modeling (SEM, three hypotheses: (a AMcK explains the variance of factor scores of students' learning approaches (SLA and academic motivation (AM; (b AMcK is distinct from working metacognition (WMC; and (c AMcK has incremental validity, beyond WMC, on the explanation of general academic achievement (GAA variance. Two tests (indicators of WMC and two scales (indicators of AMcK were administered to 684 ten-to-eighteen-year-old Brazilian children and adolescents. Annual grades in Math, Portuguese, Geography and History were used as indicators of GAA. The results show that none of the three hypotheses can be refuted.
Lyra, Maria C D P
A developmental process approach is proposed in order to contribute to reflect upon "choice categories" as the phenomena of human individuation (Mammen and Mironenko, Integrative Psychological and Behavioral Science, 49:681-713, 2015; Mammen, 2016). Firstly we contrapose this perspective to the results referred by Krøjgaard (Integrative Psychological & Behavioral Science, 50(2), 264-276, 2016) regarding infant development. Subsequently, we discuss the role of imagination and the role of Polanyi's "tacit knowledge" as contributing to complement the concept of "choice categories". By this way we aim to highlight the heuristic value of focusing on the quality of the dynamics that guide developmental changes and its embeddedness in sociocultural milieu.
Bouissou, M.; Villatte, N.; Bouhadana, H.; Bannelier, M.
EDF has been developing for several years an integrated set of knowledge-based and algorithmic tools for automation of reliability assessment of complex (especially sequential) systems. In this environment, the reliability expert has at his disposal all the powerful software tools for qualitative and quantitative processing, besides he gets various means to generate automatically the inputs for these tools, through the acquisition of graphical data. The development of these tools has been based on FIGARO, a specific language, which was built to get an homogeneous system modelling. Various compilers and interpreters get a FIGARO model into conventional models, such as fault-trees, Markov chains, Petri Networks. In this report, we introduce the main basics of FIGARO language, illustrating them with examples
Development of the visual system typically proceeds in concert with the development of audition. One result is that the visual system of profoundly deaf individuals differs from that of those with typical auditory systems. While past research has suggested deaf people have enhanced attention in the visual periphery, it is still unclear whether or not this enhancement entails deficits in central vision. Profoundly deaf and typically hearing adults were administered a variant of the useful field of view task that independently assessed performance on concurrent central and peripheral tasks. Identification of a foveated target was impaired by a concurrent selective peripheral attention task, more so in profoundly deaf adults than in the typically hearing. Previous findings of enhanced performance on the peripheral task were not replicated. These data are discussed in terms of flexible allocation of spatial attention targeted towards perceived task demands, and support a modified “division of labor” hypothesis whereby attentional resources co-opted to process peripheral space result in reduced resources in the central visual field. PMID:26657078
Full Text Available Climate change is likely to result in increases in the frequency or intensity of extreme weather events including floods. The International Flood Initiative (IFI, initiated in January 2005 by UNESCO and WMO and voluntary partner organizations has promoted an integrated flood management (IFM to take advantage of floods and use of floodplains while reducing the social, environmental and economic risks. Its secretariat is located in ICHARM. The initiative objective is to support national platforms to practice evidence-based disaster risk reduction through mobilizing scientific and research networks. After its initial decade, the initiative is providing a stepping-stone for the implementation of Sendai Framework by revitalizing its activities aimed at building on the sucess of the past, while addressing existing gaps in integrated flood managemnet strategies comprising of optimal structural and nonstructural measures thereby mainstreaming disaster risk reduction and targeting sustainable development. In this context, a new mechanism try to facilitate monitoring, assessment and capacity building in the Asia Pacific region. The primary outcomes of the mechanism are demand-driven networking and related documentations of best practices for 1 hazard assessment, 2 exposure assessment, 3 vulnerability assessment and coping capacity to identify the gaps, and 4 follow-ups and monitoring of the IFM process.
Koopman, M.; Brok, den P.J.; Beijaard, D.; Teune, P.J.
The purpose of this study was to investigate relations between goal orientations, information processing strategies and development of conceptual knowledge of pre-vocational secondary education students (n = 719; 14 schools). Students' preferences for certain types of goals and information
This paper explores the mediation of sociomaterial practices and the spaces of their unfolding in diagnostic imaging as relates to Magnetic Resonance Imaging (MRI). In the course of an MRI exam, from the screening of the patient to the scanning itself, and onto the subsequent processing and analy......This paper explores the mediation of sociomaterial practices and the spaces of their unfolding in diagnostic imaging as relates to Magnetic Resonance Imaging (MRI). In the course of an MRI exam, from the screening of the patient to the scanning itself, and onto the subsequent processing....... The individual elements are, in and of themselves, conditioned, in part, by the ontological basis of their production, and inclusion within the new collective. The study takes its outset in this inherent tension, problematizing the knowledge processes that enter into the construction and mediation of the images...... (PACS). Paradoxically, in spite of MRI being a digital modality, the very sociomaterial contingencies of IT and electronic media come to have significant bearing on the spaces in which MRI’s can be articulated in practice through ‘filmless’ radiology....
Truss, Baraka J.
This poster session will cover the key purpose and components behind implementing the NASA PAL website. This session will present the current results, describing the process used to create the website, the current usage measure, and will demonstrate how NASA is truly becoming ONE. The target audience for the poster session includes those currently implementing the CMMI model and looking for PAL adoption techniques. To continue to be the leader in space, science and technology, NASA is using this agency-wide PAL to share knowledge, work products and lessons learned through this website. Many organizations have failed to recognize how the efforts of process improvement fit into overall organizational effort. However, NASA as an agency has adopted the benefits of process improvement by the creation of this website to foster communication between its ten centers. The poster session will cover the following, topics outlined below: 1) Website purpose; 2) Characteristics of the website; 3) User accounts status; 4) Website content size; and 5) Usage percentages.
Vanden Bosch der Nederlanden, Christina M; Hannon, Erin E; Snyder, Joel S
Few studies comparing music and language processing have adequately controlled for low-level acoustical differences, making it unclear whether differences in music and language processing arise from domain-specific knowledge, acoustic characteristics, or both. We controlled acoustic characteristics by using the speech-to-song illusion, which often results in a perceptual transformation to song after several repetitions of an utterance. Participants performed a same-different pitch discrimination task for the initial repetition (heard as speech) and the final repetition (heard as song). Better detection was observed for pitch changes that violated rather than conformed to Western musical scale structure, but only when utterances transformed to song, indicating that music-specific pitch representations were activated and influenced perception. This shows that music-specific processes can be activated when an utterance is heard as song, suggesting that the high-level status of a stimulus as either language or music can be behaviorally dissociated from low-level acoustic factors. Copyright © 2015 Elsevier B.V. All rights reserved.
... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Service of legal process under provisions of... AND RELATED SERVICES Quasi-Legal Services § 92.92 Service of legal process under provisions of State law. It may be found that a State statue purporting to regulate the service of process in foreign...
Full Text Available In behavioral sports sciences, knowledge of athletic performance and underlying sensorimotor processing remains limited, because most data is obtained in the laboratory. In laboratory experiments we can strictly control the measurement conditions, but the action we can target may be limited and differ from actual sporting action. Thus, the obtained data is potentially unrealistic. We propose using virtual reality (VR technology to compensate for the lack of actual reality. We have developed a head mounted display (HMD-based VR system for application to baseball batting where the user can experience hitting a pitch in a virtual baseball stadium. The batter and the bat movements are measured using nine-axis inertial sensors attached to various parts of the body and bat, and they are represented by a virtual avatar in real time. The pitched balls are depicted by computer graphics based on previously recorded ball trajectories and are thrown in time with the motion of a pitcher avatar based on simultaneously recorded motion capture data. The ball bounces depending on its interaction with the bat. In a preliminary measurement where the VR system was combined with measurement equipment we found some differences between the behavioral and physiological data (i.e., the body movements and respiration of experts and beginners and between the types of pitches during virtual batting. This VR system with a sufficiently real visual experience will provide novel findings as regards athletic performance that were formerly hard to obtain and allow us to elucidate their sensorimotor processing in detail.
Full Text Available Peer moderation has been used as a beneficial strategy in asynchronous online discussions to assist student learning performance. However, most studies in peer-moderated asynchronous online discussions (PMAOD have focused only on learning effectiveness and perceptions of students rather than on students’ knowledge dimensions and cognitive processing patterns. This study combined quantitative content analysis (QCA and lag sequential analysis (LSA to explore student knowledge dimensions and cognitive processing patterns in PMAOD. The participants were 84 students in an undergraduate blended course from University Putra Malaysia (UPM, Malaysia. The Revised Bloom Taxonomy (RBT was used as the codification scheme to code the discussion transcripts of participants assigned the role of peer moderators in a reciprocal manner over seven weeks. Behavioural distributions and patterns of high- and low-quality discussion groups were compared. Results showed that students were primarily sharing knowledge dimensions and cognitive processes of metacognition and understanding, respectively. Additionally, it was found that there was a modest proportion of off-topic discussions. Nonetheless, by means of LSA, it was found that PMAOD exhibited a certain degree of self-sustainability in knowledge and cognitive process behaviours, with the exceptions of procedural knowledge and the cognitive process of applyingand, in terms of diversity in knowledge dimension and cognitive processing, high-quality discussion groups outperformed low-quality groups.
Wolff, J Gerard
The SP theory of intelligence , with its realization in the SP computer model , aims to simplify and integrate observations and concepts across artificial intelligence, mainstream computing, mathematics, and human perception and cognition, with information compression as a unifying theme. This paper describes how abstract structures and processes in the theory may be realized in terms of neurons, their interconnections, and the transmission of signals between neurons. This part of the SP theory- SP-neural -is a tentative and partial model for the representation and processing of knowledge in the brain. Empirical support for the SP theory-outlined in the paper-provides indirect support for SP-neural. In the abstract part of the SP theory (SP-abstract), all kinds of knowledge are represented with patterns , where a pattern is an array of atomic symbols in one or two dimensions. In SP-neural, the concept of a "pattern" is realized as an array of neurons called a pattern assembly , similar to Hebb's concept of a "cell assembly" but with important differences. Central to the processing of information in SP-abstract is information compression via the matching and unification of patterns (ICMUP) and, more specifically, information compression via the powerful concept of multiple alignment , borrowed and adapted from bioinformatics. Processes such as pattern recognition, reasoning and problem solving are achieved via the building of multiple alignments, while unsupervised learning is achieved by creating patterns from sensory information and also by creating patterns from multiple alignments in which there is a partial match between one pattern and another. It is envisaged that, in SP-neural, short-lived neural structures equivalent to multiple alignments will be created via an inter-play of excitatory and inhibitory neural signals. It is also envisaged that unsupervised learning will be achieved by the creation of pattern assemblies from sensory information and from the
James Gerard Wolff
Full Text Available The SP theory of intelligence, with its realisation in the SP computer model, aims to simplify and integrate observations and concepts across artificial intelligence, mainstream computing, mathematics, and human perception and cognition, with information compression as a unifying theme. This paper describes how abstract structures and processes in the theory may be realised in terms of neurons, their interconnections, and the transmission of signals between neurons. This part of the SP theory -- SP-neural -- is a tentative and partial model for the representation and processing of knowledge in the brain. Empirical support for the SP theory -- outlined in the paper -- provides indirect support for SP-neural.In the abstract part of the SP theory (SP-abstract, all kinds of knowledge are represented with patterns, where a pattern is an array of atomic symbols in one or two dimensions. In SP-neural, the concept of a ‘pattern’ is realised as an array of neurons called a pattern assembly, similar to Hebb's concept of a ‘cell assembly’ but with important differences.Central to the processing of information in SP-abstract is information compression via the matching and unification of patterns (ICMUP and, more specifically, information compression via the powerful concept of multiple alignment, borrowed and adapted from bioinformatics. Processes such as pattern recognition, reasoning and problem solving are achieved via the building of multiple alignments, while unsupervised learning is achieved by creating patterns from sensory information and also by creating patterns from multiple alignments in which there is a partial match between one pattern and another.It is envisaged that, in SP-neural, short-lived neural structures equivalent to multiple alignments will be created via an inter-play of excitatory and inhibitory neural signals. It is also envisaged that unsupervised learning will be achieved by the creation of pattern assemblies from
Full Text Available Three species of wolffish have been listed under Canada's Species at Risk Act with consequences for commercial fisheries. Because harvester based local ecological knowledge (LEK and science knowledge differ in goals, spatial and temporal scale, and mode of generalization, the current system struggles with including LEK along with traditional assessments in species at risk (SARA processes. The differences in LEK and science led us to consider the concept of consilience in the sense of strengthened inductive knowledge via convergence or concordance of evidence from disparate sources. We used three criteria when considering consilience: a general concurrence of data, presence of unexplained inconsistencies, and a degree of complementarity between two disparate sources. Using wolffish in the northern Gulf of St. Lawrence we examined the feasibility of applying these criteria to two disparate sources of information: scientific stock assessments and data from structured fish harvester local ecological knowledge (LEK interviews. We found that for wolffish there was consistency in observed trends and locations of high wolffish catch rates from both harvester LEK interviews and fishery-independent survey data. There was inconsistency between observed variability in catch sizes in harvester interviews and stock assessment maps. The science and LEK evidence were complementary in that observations took place at different spatial and temporal scales. They were complementary in that LEK was inshore, compared to science data from offshore. The explicit criteria we developed permit use of fishers' knowledge that, in the past, has often been discounted to zero, often thereby reducing trust by harvesters in the results of species at risk assessments. The concept of consilience shifts the focus from controversy to dialogue in the use of evidence and, so, is important in rebuilding marine fishing communities.
Guzel Isayevna Gumerova
Full Text Available Objective to define the notion of ldquohightech businessrdquo to elaborate classification of hightech businesses to elaborate the business model for hightech business management. Methods general scientific methods of theoretical and empirical cognition. Results the research presents a business model of hightech businesses management basing on the trends of explicit and explicit knowledge market with the dominating implicit knowledge market classification of hightech businesses taking into consideration the three types of economic activity possibilities to manage hightech business basing on its market cost technological innovations costs and business indicators. Scientific novelty the interpretation of the notion of ldquohightech businessrdquo has been renewed the classification of hightech businesses has been elaborated for the first time allocating three groups of enterprises. Practical value theoretical significance ndash development of notional apparatus of hightech business management practical significancenbsp ndash grounding of the necessity to manage enterprises under development of explicit and explicit knowledge markets in Russia as a complex of capital and noncapital assets with dominating indicators of ldquomarket valuerdquo and ldquolife span of a companyrdquo. nbsp
Hacievliyagil, N.K.; Maisonneuve, Y.E.; Auger, J.F.; Hartmann, L.
Several companies are implementing the strategy of open innovation in their research and development operations. They become more dependent, therefore, on their capabilities to exchange knowledge and technology with external parties. To facilitate these exchanges, virtual knowledge brokers use
Gallanti, M.; Gilardoni, L.; Guida, G.; Stefanini, A.; Tomada, L.
Monitoring and malfunctions diagnosis of complex industrial plants involves, in addition to shallow empirical knowledge about plant operation, also deep knowledge about structure and function. This paper presents the results obtained in the design and experimentation of PROP and PROP-2 systems, devoted to on-line monitoring and diagnosis of pollution phenomena in the cycle water of a thermal power plant. In particular, it focuses on PROP-2 architecture, with encompasses a four-level hierarchical knowledge base including both empirical knowledge and a deep model of the plant. Shallow knowledge is represented by production rules and event-graphs (a formalism for expressing procedural knowledge), while deep knowledge is expressed using a representation language based on the concept of component. One major contribution of the proposed approach has been to show in a running experimental system that a suitable blend of shallow and deep knowledge can offer substantial advantages over a single paradigm.
Sicard, M; Perrot, N; Leclercq-Perlat, M-N; Baudrit, C; Corrieu, G
Modeling the cheese ripening process remains a challenge because of its complexity. We still lack the knowledge necessary to understand the interactions that take place at different levels of scale during the process. However, information may be gathered from expert knowledge. Combining this expertise with knowledge extracted from experimental databases may allow a better understanding of the entire ripening process. The aim of this study was to elicit expert knowledge and to check its validity to assess the evolution of organoleptic quality during a dynamic food process: Camembert cheese ripening. Experiments on a pilot scale were carried out at different temperatures and relative humidities to obtain contrasting ripening kinetics. During these experiments, macroscopic evolution was evaluated from an expert's point of view and instrumental measurements were carried out to simultaneously monitor microbiological, physicochemical, and biochemical kinetics. A correlation of 76% was established between the microbiological, physicochemical, and biochemical data and the sensory phases measured according to expert knowledge, highlighting the validity of the experts' measurements. In the future, it is hoped that this expert knowledge may be integrated into food process models to build better decision-aid systems that will make it possible to preserve organoleptic qualities by linking them to other phenomena at the microscopic level. Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.
Duijn, M.; Rijnveld, M.
Knowledge transfer and integration is the main challenge in many knowledge management projects. This challenge follows from the observation that it is difficult to determine how and what knowledge may transfer from one person to another, from one team to another and from one network or organization
This paper addresses the issue of the knowledge gap between evaluators and the entity being evaluated: the dilemma of the knowledge of professional evaluators vs. the in-depth knowledge of the evaluated subjects. In order to optimize evaluative outcomes, the author suggests an approach based on ideas borrowed from the science of cybernetics as a…
Lee, Chi-Lung; Lu, Hsi-Peng; Yang, Chyan; Hou, Huei-Tse
Knowledge management systems, or KMSs, have been widely adopted in business organizations, yet little research exists on the actual integration of the knowledge management model and the application of KMSs in secondary schools. In the present study, the common difficulties and limitations regarding the implementation of knowledge management into…
Ioi, Toshihiro; Ono, Masakazu; Ishii, Kota; Kato, Kazuhiko
Purpose: The purpose of this paper is to propose a method for the transfer of knowledge and skills in project management (PM) based on techniques in knowledge management (KM). Design/methodology/approach: The literature contains studies on methods to extract experiential knowledge in PM, but few studies exist that focus on methods to convert…
Muthukumar; Hedberg, John G.
There is growing recognition that the economic climate of the world is shifting towards a knowledge-based economy where knowledge will be cherished as the most prized asset. In this regard, technology can be leveraged as a useful tool in effectually managing the knowledge capital of an organisation. Although several research studies have advanced…
Sou, Si Nga; Jedrzejewski, Philip M; Lee, Ken; Sellick, Christopher; Polizzi, Karen M; Kontoravdi, Cleo
Despite the positive effects of mild hypothermic conditions on monoclonal antibody (mAb) productivity (q mAb ) during mammalian cell culture, the impact of reduced culture temperature on mAb Fc-glycosylation and the mechanism behind changes in the glycan composition are not fully established. The lack of knowledge about the regulation of dynamic intracellular processes under mild hypothermia restricts bioprocess optimization. To address this issue, a mathematical model that quantitatively describes Chinese hamster ovary (CHO) cell behavior and metabolism, mAb synthesis and mAb N-linked glycosylation profile before and after the induction of mild hypothermia is constructed. Results from this study show that the model is capable of representing experimental results well in all of the aspects mentioned above, including the N-linked glycosylation profile of mAb produced under mild hypothermia. Most importantly, comparison between model simulation results for different culture temperatures suggests the reduced rates of nucleotide sugar donor production and galactosyltransferase (GalT) expression to be critical contributing factors that determine the variation in Fc-glycan profiles between physiological and mild hypothermic conditions in stable CHO transfectants. This is then confirmed using experimental measurements of GalT expression levels, thereby closing the loop between the experimental and the computational system. The identification of bottlenecks within CHO cell metabolism under mild hypothermic conditions will aid bioprocess optimization, for example, by tailoring feeding strategies to improve NSD production, or manipulating the expression of specific glycosyltransferases through cell line engineering. Biotechnol. Bioeng. 2017;114: 1570-1582. © 2016 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals Inc. © 2016 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals Inc.
Future generations will receive funds and have to manage the financial burdens linked to the technical heritage of the past nuclear activities. This shows the challenges of ethical requirements in this particular field, its cultural background as well as what it stands for. Another question is how the operators or the governmental bodies will interpret their decisions and justify these based on a hierarchy of principles where utilitarianism and egalitarianism have a central meaning. We aim at showing how a comparison of common criteria for decommissioning funds could help democracy and how a common knowledge could be developed by an open expertise process. The function of the control of the systems , that favours a democratic regulatory process in each country, calls for sufficient answers with regard to decommissioning funds, compared to other essential social needs. He has to adequately respond to the population with a higher degree of transparency in the priority of choices between different ways of using and controlling these funds. This asks for more social accountability and makes experts more responsible to Society for which they should work. (author)
Gabrielle A. Jacquet
Full Text Available Background. There are currently 34 International Emergency Medicine (IEM fellowship programs. Applicants and programs are increasing in number and diversity. Without a standardized application, applicants have a difficulty approaching programs in an informed and an organized method; a streamlined application system is necessary. Objectives. To measure fellows’ knowledge of their programs’ curricula prior to starting fellowship and to determine what percent of fellows and program directors would support a universal application system. Methods. A focus group of program directors, recent, and current fellows convened to determine the most important features of an IEM fellowship application process. A survey was administered electronically to a convenience sample of 78 participants from 34 programs. Respondents included fellowship directors, fellows, and recent graduates. Results. Most fellows (70% did not know their program’s curriculum prior to starting fellowship. The majority of program directors and fellows support a uniform application service (81% and 67%, resp. and deadline (85% for both. A minority of program directors (35% and fellows (30% support a formal match. Conclusions. Program directors and fellows support a uniform application service and deadline, but not a formalized match. Forums for disseminating IEM fellowship information and for administering a uniform application service and deadline are currently in development to improve the process.
Full Text Available Introduction: Recognition and implementation of knowledge management have an important effect on improving the quality of hospital activities. According to the direct relationship with the society’s health, health and treatment departments need knowledgeable and skillful staff. Thus, this research investigated different dimensions of the knowledge management processes in teaching hospitals of Shiraz University of Medical Sciences in 2014. Method: This cross-sectional analytical study was performed on 103 top and middle-ranked managers of Shiraz University of Medical Sciences hospitals. The instrument was a valid and reliable questionnaire containing six knowledge management dimensions. Data were analyzed in SPSS software version 16, using the one-sample t-test and ANOVA. Results: The results of the study showed that among the processes of knowledge management dimensions, “acquisition and knowledge creation”(mean=3.2 and “strategy and policy of knowledge” (mean=3.13 had the highest ranks and “assessment and feedback of knowledge” (mean=2.86 and “knowledge sharing” (mean=2.61 were at the lowest levels. The comparison between these six dimensions demonstrated that there were significant relationships among “strategy and policy of knowledge” and “acquisition and knowledge creation” (p=0.047,“strategy and policy of knowledge” and “organizing and documenting of knowledge” (p=0.206, “organizing and documenting of knowledge” and “knowledge sharing” (p=0.259, “organizing and documenting of knowledge” and “use and reuse of knowledge” (p=0.325, “use and reuse of knowledge”, and “knowledge sharing” (p=0.100. Conclusion: According to the results, the conditions of “strategy and policy of knowledge” and “acquisition and knowledge creation” dimensions are at the average level and other dimensions of knowledge management processes are poor in teaching hospitals of Shiraz University of Medical
Tricco, Andrea C; Zarin, Wasifa; Rios, Patricia; Nincic, Vera; Khan, Paul A; Ghassemi, Marco; Diaz, Sanober; Pham, Ba'; Straus, Sharon E; Langlois, Etienne V
It is unclear how to engage a wide range of knowledge users in research. We aimed to map the evidence on engaging knowledge users with an emphasis on policy-makers, health system managers, and policy analysts in the knowledge synthesis process through a scoping review. We used the Joanna Briggs Institute guidance for scoping reviews. Nine electronic databases (e.g., MEDLINE), two grey literature sources (e.g., OpenSIGLE), and reference lists of relevant systematic reviews were searched from 1996 to August 2016. We included any type of study describing strategies, barriers and facilitators, or assessing the impact of engaging policy-makers, health system managers, and policy analysts in the knowledge synthesis process. Screening and data abstraction were conducted by two reviewers independently with a third reviewer resolving discrepancies. Frequency and thematic analyses were conducted. After screening 8395 titles and abstracts followed by 394 full-texts, 84 unique documents and 7 companion reports fulfilled our eligibility criteria. All 84 documents were published in the last 10 years, and half were prepared in North America. The most common type of knowledge synthesis with knowledge user engagement was a systematic review (36%). The knowledge synthesis most commonly addressed an issue at the level of national healthcare system (48%) and focused on health services delivery (17%) in high-income countries (86%). Policy-makers were the most common (64%) knowledge users, followed by healthcare professionals (49%) and government agencies as well as patients and caregivers (34%). Knowledge users were engaged in conceptualization and design (49%), literature search and data collection (52%), data synthesis and interpretation (71%), and knowledge dissemination and application (44%). Knowledge users were most commonly engaged as key informants through meetings and workshops as well as surveys, focus groups, and interviews either in-person or by telephone and emails
Glöckner, A.; Witteman, C.L.M.
Intuitive-automatic processes are crucial for making judgements and decisions. The fascinating complexity of these processes has attracted many decision researchers, prompting them to start investigating intuition empirically and to develop numerous models. Dual-process models assume a clear
Increased level of complexity in almost every discipline and operation today raises the demand for knowledge in order to successfully run an organization whether to generate profit or to attain a non-profit mission. Traditional way of transferring knowledge to information systems rich in data structures and complex algorithms continue to hinder the ability to swiftly turnover concepts into operations. Diagrammatic modelling commonly applied in engineering in order to represent concepts or reality remains to be an excellent way of converging knowledge from domain experts. The nuclear verification domain represents ever more a matter which has great importance to the World safety and security. Demand for knowledge about nuclear processes and verification activities used to offset potential misuse of nuclear technology will intensify with the growth of the subject technology. This Doctoral thesis contributes with a model-based approach for representing complex process such as nuclear inspections. The work presented contributes to other domains characterized with knowledge intensive and complex processes. Based on characteristics of a complex process a conceptual framework was established as the theoretical basis for creating a number of modelling languages to represent the domain. The integrated Safeguards Modelling Method (iSMM) is formalized through an integrated meta-model. The diagrammatic modelling languages represent the verification domain and relevant nuclear verification aspects. Such a meta-model conceptualizes the relation between practices of process management, knowledge management and domain specific verification principles. This fusion is considered as necessary in order to create quality processes. The study also extends the formalization achieved through a meta-model by contributing with a formalization language based on Pattern Theory. Through the use of graphical and mathematical constructs of the theory, process structures are formalized enhancing
Tanner, Anne Nygaard
learning processes and require face-to-face contact. In sum, the innovation biography method contributes in uncovering innovation processes and how these rely on many different configurations of spatial knowledge dynamics, including buzz, local ties and global pipelines. The findings imply that policy...
In this study, learning processes of students in competence-based Pre-Vocational Secondary Education (PVSE; in Dutch vmbo) were investigated. The study aimed at describing the relation between goal orientations, information processing strategies and the development of knowledge of these students.
Full Text Available Scientific publications written in natural language still play a central role as our knowledge source. However, due to the flood of publications, the literature survey process has become a highly time-consuming and tangled process, especially for novices of the discipline. Therefore, tools supporting the literature-survey process may help the individual scientist to explore new useful domains. Natural language processing (NLP is expected as one of the promising techniques to retrieve, abstract, and extract knowledge. In this contribution, NLP is firstly applied to the literature of chemical vapor deposition (CVD, which is a sub-discipline of materials science and is a complex and interdisciplinary field of research involving chemists, physicists, engineers, and materials scientists. Causal knowledge extraction from the literature is demonstrated using NLP.
Full Text Available The process of teaching students is of the greatest importance. It is important to study how to manage it to achieve the best advantages to the students and the university. The authors propose to apply the methods and tools of knowledge management and e-learning. The potential of knowledge management lies in the optimization of university processes, in introducing organizational learning and in helping to take well grounded decisions. The potential of e-learning lies in the improvement of the quality of education, in higher flexibility and adaptability of teaching process to the needs of individual students and in lowering the cost of education. The article shows how to apply e-portfolios and information systems to support the teaching process and knowledge management at academic institutions.
Dr. M. Koopman; prof dr Douwe Beijaard; Dr P.J. Teune; P. den Brok
The purpose of this study was to investigate relations between goal orientations, information processing strategies and development of conceptual knowledge of pre-vocational secondary education students (n=719; 14 schools). Students' preferences for certain types of goals and information processing
Koopman, Maaike; Den Brok, Perry; Beijaard, Douwe; Teune, Peter
The purpose of this study was to investigate relations between goal orientations, information processing strategies and development of conceptual knowledge of pre-vocational secondary education students (n = 719; 14 schools). Students' preferences for certain types of goals and information processing strategies were examined using questionnaires.…
Kergosien, Yannick L.; Racoceanu, Daniel
This article presents our vision about the next generation of challenges in computational/digital pathology. The key role of the domain ontology, developed in a sustainable manner (i.e. using reference checklists and protocols, as the living semantic repositories), opens the way to effective/sustainable traceability and relevance feedback concerning the use of existing machine learning algorithms, proven to be very performant in the latest digital pathology challenges (i.e. convolutional neural networks). Being able to work in an accessible web-service environment, with strictly controlled issues regarding intellectual property (image and data processing/analysis algorithms) and medical data/image confidentiality is essential for the future. Among the web-services involved in the proposed approach, the living yellow pages in the area of computational pathology seems to be very important in order to reach an operational awareness, validation, and feasibility. This represents a very promising way to go to the next generation of tools, able to bring more guidance to the computer scientists and confidence to the pathologists, towards an effective/efficient daily use. Besides, a consistent feedback and insights will be more likely to emerge in the near future - from these sophisticated machine learning tools - back to the pathologists-, strengthening, therefore, the interaction between the different actors of a sustainable biomedical ecosystem (patients, clinicians, biologists, engineers, scientists etc.). Beside going digital/computational - with virtual slide technology demanding new workflows-, Pathology must prepare for another coming revolution: semantic web technologies now enable the knowledge of experts to be stored in databases, shared through the Internet, and accessible by machines. Traceability, disambiguation of reports, quality monitoring, interoperability between health centers are some of the associated benefits that pathologists were seeking. However
Olga E. Bashina
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.
Khan, Mohd Shariq; Lee, Sanggyu; Rangaiah, G.P.; Lee, Moonyong
Highlights: • Practical method for finding optimum refrigerant composition is proposed for LNG plant. • Knowledge of boiling point differences in refrigerant component is employed. • Implementation of process knowledge notably makes LNG process energy efficient. • Optimization of LNG plant is more transparent using process knowledge. - Abstract: Mixed refrigerant (MR) systems are used in many industrial applications because of their high energy efficiency, compact design and energy-efficient heat transfer compared to other processes operating with pure refrigerants. The performance of MR systems depends strongly on the optimum refrigerant composition, which is difficult to obtain. This paper proposes a simple and practical method for selecting the appropriate refrigerant composition, which was inspired by (i) knowledge of the boiling point difference in MR components, and (ii) their specific refrigeration effect in bringing a MR system close to reversible operation. A feasibility plot and composite curves were used for full enforcement of the approach temperature. The proposed knowledge-based optimization approach was described and applied to a single MR and a propane precooled MR system for natural gas liquefaction. Maximization of the heat exchanger exergy efficiency was considered as the optimization objective to achieve an energy efficient design goal. Several case studies on single MR and propane precooled MR processes were performed to show the effectiveness of the proposed method. The application of the proposed method is not restricted to liquefiers, and can be applied to any refrigerator and cryogenic cooler where a MR is involved
Levis, A.P.; Timpany, R.G.; Klotter, D.A.
A method of translating a two-way table of qualified symptom/cause relationships into a four layer Expert Network for diagnosis of machine or sample preparation failure for Gas Chromatography is presented. This method has proven to successfully capture an expert's ability to predict causes of failure in a Gas Chromatograph based on a small set of symptoms, derived from a chromatogram, in spite of poorly defined category delineations and definitions. In addition, the resulting network possesses the advantages inherent in most neural networks: the ability to function correctly in the presence of missing or uncertain inputs and the ability to improve performance through data-based training procedures. Acquisition of knowledge from the domain experts produced a group of imprecise cause-to-symptom relationships. These are reproduced as parallel pathways composed of Symptom-Filter-Combination-Cause node chains in the network representation. Each symptom signal is passed through a Filter node to determine if the signal should be interpreted as positive or negative evidence and then modified according to the relationship established by the domain experts. The signals from several processed symptoms are then combined in the Combination node(s) for a given cause. The resulting value is passed to the Cause node and the highest valued Cause node is then selected as the most probable cause of failure
Moe, T.; Adler-Nissen, Jens
Non-conventional mashing conditions are relevant in the development of a lactic acid-fermented soymilk beverage where mashed rice is the source of carbohydrates for the fermentation and sweetness of the beverage. Advantages in the process layout could be achieved by mashing at higher pH and lower...... conditions when a mashing step is integrated in other food processes....
Grote, Bianca; Hitzmann, Bernd [Hohenheim Univ., Stuttgart (Germany). FG Prozessanalytik und Getreidetechnologie; John, Jinu Mulamoottil
The significance of process knowledge for the monitoring and closed loop control of biotechnical processes is demonstrated. An important problem of the development of chemometric models is the expense of calibration measurements required to calculate values of process variables from unselective measurements. To reduce this expense a method was developed which uses a dynamic process model instead of measurements. As an example the chemometric modeling will be discussed of a baker's yeast cultivation measuring fluorescence spectra and estimating biomass, glucose, and ethanol concentrations. We demonstrate the exploitation of process knowledge during an Escherichia colifermentation for the closed loop control of glucose concentration by using an extended Kalman filter. Here the effective dead time and the measurement noise will be compensated by this method. The glucose set point is 0.05g/L. The yield of the process exceeds by far that of batch fermentations. (orig.)
National Aeronautics and Space Administration — A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY...
Prem Lal Chauhan
Full Text Available Introduction: Safe motherhood is perceived as a human right, and the health sector is always encouraged to provide quality services to ensure the same. Government of India launched a scheme called Janani Suraksha Yojana (JSY on April 11, 2005, under the flagship of National Rural Health Mission to reduce maternal and neonatal mortality, by promoting institutional deliveries for which financial incentives are provided to mothers delivering in the health facilities. Objective: To study the knowledge, awareness, and utilization pattern of services under JSY among the beneficiaries in rural area of Shimla, Himachal Pradesh, India. Materials and Methods: This cross-sectional study was conducted among the 78 JSY beneficiaries residing in the rural field practice area of Indira Gandhi Medical College Shimla, Himachal Pradesh, India. These beneficiaries were interviewed with pretested, predesigned, semi-structured close ended questionnaire by house-to-house visits, after obtaining informed consent. Results: Majority of the JSY beneficiaries (50; 64% were in the age group of 20–25 years and 43 (55.1% of them heard about the JSY scheme before the present pregnancy. Anganwadi workers 78 (100% and female health workers (62; 79.5% were the main sources of information. More than half of the study participants (44; 56% had good knowledge about the scheme and 42 (53.85% registered their name in health institution during thefirst trimester of last pregnancy. Forty-four (56.4% beneficiaries had undergone three antenatal checkups and only 11 (14.1% of them received three postnatal (PN visits. All the beneficiaries received the JSY incentives 1-week the following delivery. Conclusions: Awareness regarding the JSY scheme, early antenatal registration, minimum three antenatal care visits, and three PN visits is still low among rural women which needs strengthening through intensification of IEC activities.
The most valuable resource available to any organization today is its knowledge asset which is stored in processes and information systems, corporate data warehouses, employees’ brains, copyrights and patents. Knowledge management is the process of capturing, distributing, and effectively using this knowledge. The factors affecting Knowledge Management can be listed as follows: organizational culture, knowledge manager, the evolution of knowledge, knowledge polution and technology.
Briscoe, Patricia; Pollock, Katina; Campbell, Carol; Carr-Harris, Shasta
The use of networks in public education is one of many knowledge mobilization (KMb) strategies utilized to promote evidence-based research into practice. However, challenges exist in the ability to mobilize knowledge through networks. The purpose of this paper is to explore how networks work. Data were collected from virtual discussions for an…
Homsin, Nawattakorn; Chantarasombat, Chalard; Yeamsang, Theerawatta
This research uses Mixed-Methodology applied research and development together with participatory action research. The model is appropriate for the context environment. The participants were able to complete the learning activities in participatory forms of knowledge management, using the following five-step model: 1) Knowledge Identification, 2)…
van der Schuur, H.W.
Although the software industry is flourishing, and software-producing organizations strive for high levels of end-user satisfaction, these organizations do only limitedly recognize and use knowledge of the in-the-field operation of their software (e.g. software operation knowledge or SOK). Less than
Gijlers, Aaltje H.; de Jong, Anthonius J.M.
In this study we investigate how prior knowledge influences knowledge development during collaborative discovery learning. Fifteen dyads of students (pre-university education, 15-16 years old) worked on a discovery learning task in the physics field of kinematics. The (face-to-face) communication
Knowledge sharing and knowledge transfer are important to knowledge communication. However when groups of knowledge workers engage in knowledge communication activities, it easily turns into mere mechanical information processing despite other ambitions. This article relates literature of knowledge...... communication and knowledge creation to an intervention study in a large Danish food production company. For some time a specific group of employees uttered a wish for knowledge sharing, but it never really happened. The group was observed and submitted to metaphor analysis as well as analysis of co...
West, L. H. T.; Fensham, P. J.
Examines Ausubel's theory of learning as a model of the role concerning the influence of prior knowledge on how learning occurs. Research evidence for Ausubel's theory is presented and discussed. Implications of Ausubel's theory for teaching are summarized. (PEB)
Full Text Available The spinocerebellar systems are essential for the brain in the performance of coordinated movements, but our knowledge about the spinocerebellar interactions is very limited. Recently, several crucial pieces of information have been acquired for the spinal border cell (SBC component of the ventral spinocerebellar tract (VSCT, as well as the effects of SBC mossy fiber activation in granule cells of the cerebellar cortex. SBCs receive monosynaptic input from the reticulospinal tract (RST, which is an important driving system under locomotion, and disynaptic inhibition from Ib muscle afferents. The patterns of activity of RST neurons and Ib afferents under locomotion are known. The activity of VSCT neurons under fictive locomotion, i.e. without sensory feedback, is also known, but there is little information on how these neurons behave under actual locomotion and for cerebellar granule cells receiving SBC input this is completely unknown. But the available information makes it possible to simulate the interactions between the spinal and cerebellar neuronal circuitries with a relatively large set of biological constraints. Using a model of the various neuronal elements and the network they compose, we simulated the modulation of the SBCs and their target granule cells under locomotion and hence generated testable predictions of their general pattern of modulation under this condition. This particular system offers a unique opportunity to simulate these interactions with a limited number of assumptions, which helps making the model biologically plausible. Similar principles of information processing may be expected to apply to all spinocerebellar systems.
Coxon, Ian Robert
The work described in this paper addresses the conference call for "New processes, tools or approaches that facilitate knowledge exchange and collaboration" between academia and creative people. It introduces a research-for-design program that we at the Experience-based Designing Centre in Denmar...... found to others. It requires creative thinking and collaborative effort to make the kinds of breakthroughs that we have so far. We would like the opportunity to continue this process at this conference with the help of our peers...... thinking. All of these stages involve researchers either academic or from practice, trying to communicate ineffable forms of knowledge to others. It is difficult enough to gain access to this knowledge in the first place, then to know what to do with it when you find it or how to communicate what you have...
Purkey, D. R.; Escobar, M.; Mehta, V. K.; Forni, L.
Two important trends currently shape the manner in which water resources planning and decision making occurs. The first relates to the increasing reliance on participatory stakeholder processes as a forum for evaluating water management options and selecting the appropriate course of action. The second relates to the growing recognition that earlier deterministic approaches to this evaluation of options may no longer be appropriate, nor required. The convergence of these two trends poses questions as to the proper role of data, information, analysis and expertise in the inherently social and political process of negotiating water resources management agreements and implementing water resources management interventions. The question of how to discover the best or optimal option in the face of deep uncertainty related to climate change, demography, economic development, and regulatory reform is compelling. More fundamentally the question of whether the "perfect" option even exits to be discovered is perhaps more critical. While this existential question may be new to the water resource management community, it is not new to western political theory. This paper explores early classical philosophical writing related to issues of knowledge and governance as captured in the work of Plato and Aristotle; and then attempts to place a new approach to analysis-supported, stakeholder-driven water resources planning and decision making within this philosophical discourse. Using examples from river systems in California and the Andes, where the theory of Robust Decision Making has been used as an organizing construct for stakeholder processes, it is argued that the expectation that analysis will lead to the discovery of the perfect option is not warranted when stakeholders are engaged in the process of discovering a consensus option. This argument will touch upon issue of the diversity of values, model uncertainty and creditability, and the visualization of model output required
Ellington, Virginia Beth Elder
This research study was undertaken to gain a richer understanding of the use of patient-introduced online health information during the physician/patient examination and knowledge transfer process. Utilizing qualitative data obtained from ten family physician interviews and workflow modeling using activity diagrams and task structure charts, this…
Tuijl, E. van; Carvalho, L.; Winden, W. van; Jacobs, W.A.A.
This paper revisits how and why new multinational knowledge-based strategies and multi-level governmental policies influence the upgrading process of regions in developing economies. Automotive multinationals traditionally exploited local asset conditions, but it is shown that they have also been
Ding, N.; Bosker, R. J.; Harskamp, E. G.
The aim of the study is to investigate the influence of gender and gender pairing on students' learning performances and knowledge elaboration processes in Computer-Supported Collaborative Learning (CSCL). A sample of ninety-six secondary school students, participated in a two-week experiment.
van der Aalst, W.M.P.; Fred, A.; Filipe, J.; Dietz, J.L.G.; Aveiro, D.; Liu, K.
Recently, process mining emerged as a new scientific discipline on the interface between process models and event data. Whereas conventional Business Process Management (BPM) approaches are mostly model-driven with little consideration for event data, the increasing availability of high-quality data
Aken, van J.E.
The organization and planning of design processes, which we may regard as design process design, is an important issue. Especially for large and complex design-processes traditional approaches to process design may no longer suffice. The design literature gives quite some design process models. As
Full Text Available The aim of the article is to identify the ways of communication that increase the chances of researchers being at different stages of a scientific career to collaborate with companies. Inefficient communication and the closeness of research units to the environment are considered to be the greatest barriers to the development of R&D cooperation between science and industry. Lack of knowledge results in the formation of negative stereotypes on both young and senior researchers. The former are considered incompetent, while the latter – too little interested in cooperation with companies or holding high financial expectations. However, according to the research outcomes companies prefer to invest their resources in studies carried out by experienced and acclaimed scientists. The higher status has a researcher, the greater variety of contacts with industry he possess. Thanks to contacts developed throughout their scientific career senior researchers usually cooperate with business more frequently. In turn, young scientists are more open to undertaking new forms of cooperation. However, in some cases they have to reduce their engagement as they are overloaded by teaching duties. Considering presented evidence, I assumed that the way of sharing the research findings, that resulted in establishing cooperation with industry, varied at different stages of scientific career. In order to verify this assumption, I used logit regression. The first model constructed examines how different ways of communication affect the likelihood of cooperation with companies in the case of postdoctoral researchers, and the second model – in the case of more experienced researchers, i.e. associate professors and professors. In addition, there is a set of variables that are controlled in each of the models (such as: a type of scientific unit that employed a researcher, a field of science that a researcher represented and a type of research that she/he carried out. I
Kirkeby, Inge Mette
Although serious efforts are made internationally and nationally, it is a slow process to make our physical environment accessible. In the actual design process, architects play a major role. But what kinds of knowledge, including research-based knowledge, do practicing architects make use of when...... designing accessible environments? The answer to the question is crucially important since it affects how knowledge is distributed and how accessibility can be ensured. In order to get first-hand knowledge about the design process and the sources from which they gain knowledge, 11 qualitative interviews...... were conducted with architects with experience of designing for accessibility. The analysis draws on two theoretical distinctions. The first is research-based knowledge versus knowledge used by architects. The second is context-independent knowledge versus context-dependent knowledge. The practitioners...
Capaci, Francesca; Kulahci, Murat; Vanhatalo, Erik
Industrial manufacturing processes often operate under closed-loop control, where automation aims to keep important process variables at their set-points. In process industries such as pulp, paper, chemical and steel plants, it is often hard to find production processes operating in open loop....... Instead, closed-loop control systems will actively attempt to minimize the impact of process disturbances. However, we argue that an implicit assumption in most experimental investigations is that the studied system is open loop, allowing the experimental factors to freely affect the important system...... responses. This scenario is typically not found in process industries. The purpose of this article is therefore to explore issues of experimental design and analysis in processes operating under closed-loop control and to illustrate how Design of Experiments can help in improving and optimizing...
Full Text Available Helping a company organize and capture the knowledge used by its employees and business processes is a daunting task. In this work we examine several proposed methodologies and synthesize them into a new methodology that we demonstrate through a case study of an electric power distribution company. This is a practical research study. First, the research approach for creating the knowledge map is process-oriented and the processes are considered as the main elements of the model. This research was done in four stages: literature review, model editing, model validation and case study. The Delphi method was used for the research model validation. Some of the important outputs of this research were mapping knowledge flows, determining the level of knowledge assets, expert-area knowledge map, preparing knowledge meta-model, and updating the knowledge map according to the company’s processes. Besides identifying, auditing and visualizing tacit and explicit knowledge, this knowledge mapping enables us to analyze the knowledge areas’ situation and subsequently help us to improve the processes and overall performance. So, a process map does knowledge mapping in a clear and accurate frame. Once the knowledge is used in processes, it creates value.
Linnander, Erika; Yuan, Christina T; Ahmed, Shirin; Cherlin, Emily; Talbert-Slagle, Kristina; Curry, Leslie A
Persistent gaps in the availability of essential medicines have slowed the achievement of global health targets. Despite the supply chain knowledge and expertise that ministries of health might glean from other industries, limited empirical research has examined the process of knowledge transfer from other industries into global public health. We examined a partnership designed to improve the availability of medical supplies in Tanzania by transferring knowledge from The Coca-Cola system to Tanzania's Medical Stores Department (MSD). We conducted a process evaluation including in-depth interviews with 70 participants between July 2011 and May 2014, corresponding to each phase of the partnership, with focus on challenges and strategies to address them, as well as benefits perceived by partners. Partners faced challenges in (1) identifying relevant knowledge to transfer, (2) translating operational solutions from Coca-Cola to MSD, and (3) maintaining momentum between project phases. Strategies to respond to these challenges emerged through real-time problem solving and included (1) leveraging the receptivity of MSD leadership, (2) engaging a boundary spanner to identify knowledge to transfer, (3) promoting local recognition of commonalities across industries, (4) engaging external technical experts to manage translation activities, (5) developing tools with visible benefits for MSD, (6) investing in local relationships, and (7) providing time and space for the partnership model to evolve. Benefits of the partnership perceived by MSD staff included enhanced collaboration and communication, more proactive orientations in managing operations, and greater attention to performance management. Benefits perceived by Coca-Cola staff included strengthened knowledge transfer capability and enhanced job satisfaction. Linking theoretical constructs with practical experiences from the field, we highlight the challenges, emergent strategies, and perceived benefits of a partnership
Yuan, Christina T.; Ahmed, Shirin; Cherlin, Emily; Talbert-Slagle, Kristina; Curry, Leslie A.
Persistent gaps in the availability of essential medicines have slowed the achievement of global health targets. Despite the supply chain knowledge and expertise that ministries of health might glean from other industries, limited empirical research has examined the process of knowledge transfer from other industries into global public health. We examined a partnership designed to improve the availability of medical supplies in Tanzania by transferring knowledge from The Coca-Cola system to Tanzania’s Medical Stores Department (MSD). We conducted a process evaluation including in-depth interviews with 70 participants between July 2011 and May 2014, corresponding to each phase of the partnership, with focus on challenges and strategies to address them, as well as benefits perceived by partners. Partners faced challenges in (1) identifying relevant knowledge to transfer, (2) translating operational solutions from Coca-Cola to MSD, and (3) maintaining momentum between project phases. Strategies to respond to these challenges emerged through real-time problem solving and included (1) leveraging the receptivity of MSD leadership, (2) engaging a boundary spanner to identify knowledge to transfer, (3) promoting local recognition of commonalities across industries, (4) engaging external technical experts to manage translation activities, (5) developing tools with visible benefits for MSD, (6) investing in local relationships, and (7) providing time and space for the partnership model to evolve. Benefits of the partnership perceived by MSD staff included enhanced collaboration and communication, more proactive orientations in managing operations, and greater attention to performance management. Benefits perceived by Coca-Cola staff included strengthened knowledge transfer capability and enhanced job satisfaction. Linking theoretical constructs with practical experiences from the field, we highlight the challenges, emergent strategies, and perceived benefits of a
Full Text Available Persistent gaps in the availability of essential medicines have slowed the achievement of global health targets. Despite the supply chain knowledge and expertise that ministries of health might glean from other industries, limited empirical research has examined the process of knowledge transfer from other industries into global public health. We examined a partnership designed to improve the availability of medical supplies in Tanzania by transferring knowledge from The Coca-Cola system to Tanzania's Medical Stores Department (MSD. We conducted a process evaluation including in-depth interviews with 70 participants between July 2011 and May 2014, corresponding to each phase of the partnership, with focus on challenges and strategies to address them, as well as benefits perceived by partners. Partners faced challenges in (1 identifying relevant knowledge to transfer, (2 translating operational solutions from Coca-Cola to MSD, and (3 maintaining momentum between project phases. Strategies to respond to these challenges emerged through real-time problem solving and included (1 leveraging the receptivity of MSD leadership, (2 engaging a boundary spanner to identify knowledge to transfer, (3 promoting local recognition of commonalities across industries, (4 engaging external technical experts to manage translation activities, (5 developing tools with visible benefits for MSD, (6 investing in local relationships, and (7 providing time and space for the partnership model to evolve. Benefits of the partnership perceived by MSD staff included enhanced collaboration and communication, more proactive orientations in managing operations, and greater attention to performance management. Benefits perceived by Coca-Cola staff included strengthened knowledge transfer capability and enhanced job satisfaction. Linking theoretical constructs with practical experiences from the field, we highlight the challenges, emergent strategies, and perceived benefits of a
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.
Full Text Available This article examines how formative evaluation as a communication process contributes to knowledge acquisition in using ICT (Information and Communication Technologies. Previous studies, especially in the field of education and training, have shown that formative evaluation plays a crucial part in the learning process because it contributes to learning to learn. Through formative evaluation, the learner becomes aware of errors and can adjust learning strategies to the situation. In addition, formative evaluation provides the teaching side with significant and useful information. Consequently, ICT researches have developed a wide range of solutions for this specific purpose. It is however difficult to check the efficiency of these tools by considering the effects of ICT in the knowledge acquisition process. I suggest that formative evaluation includes also a communication system that has an effect on the learning process. This study tackles the issue by proposing an alternative approach to formative evaluation that considers it as both a learning and a communication process. The study is based on SADT (Structure Analysis and Design Technique that provides a suitable description for the whole complex communication process. It allows a rigorous understanding and identification of the variables of evaluation as a communication process in order to take care of an ICT frame. Finally, this article outlines a multidisciplinary method to evaluate formative evaluation by focusing on the validity facets of the communication process. Keywords: formative evaluation, communication process, validity criteria, ICT training context.
Full Text Available The article describes the problem of selection of heat treatment parameters to obtain the required mechanical properties in heat- treated bronzes. A methodology for the construction of a classification model based on rough set theory is presented. A model of this type allows the construction of inference rules also in the case when our knowledge of the existing phenomena is incomplete, and this is situation commonly encountered when new materials enter the market. In the case of new test materials, such as the grade of bronze described in this article, we still lack full knowledge and the choice of heat treatment parameters is based on a fragmentary knowledge resulting from experimental studies. The measurement results can be useful in building of a model, this model, however, cannot be deterministic, but can only approximate the stochastic nature of phenomena. The use of rough set theory allows for efficient inference also in areas that are not yet fully explored.
Rivo, Eduardo; de la Fuente, Javier; Rivo, Ángel; García-Fontán, Eva; Cañizares, Miguel-Ángel; Gil, Pedro
The aim of this study was to assess the applicability of knowledge discovery in database methodology, based upon data mining techniques, to the investigation of lung cancer surgery. According to CRISP 1.0 methodology, a data mining (DM) project was developed on a data warehouse containing records for 501 patients operated on for lung cancer with curative intention. The modelling technique was logistic regression. The finally selected model presented the following values: sensitivity 9.68%, specificity 100%, global precision 94.02%, positive predictive value 100% and negative predictive value 93.98% for a cut-off point set at 0.5. A receiver operating characteristic (ROC) curve was constructed. The area under the curve (CI 95%) was 0.817 (0.740- 0.893) (p CRISP-DM process model is very suitable for lung cancer surgery analysis, improving decision making as well as knowledge and quality management.
Background Violence against women (VAW) is a major public health problem. Translation of VAW research to policy and practice is an area that remains understudied, but provides the opportunity to examine knowledge translation and exchange (KTE) processes in a complex, multi-stakeholder context. In a series of studies including two randomized trials, the McMaster University VAW Research Program studied one key research gap: evidence about the effectiveness of screening women for exposure to intimate partner violence. This project developed and evaluated KTE strategies to share research findings with policymakers, health and community service providers, and women's advocates. Methods A longitudinal cross-sectional design, applying concurrent mixed data collection methods (surveys, interviews, and focus groups), was used to evaluate the utility of specific KTE strategies, including a series of workshops and a day-long Family Violence Knowledge Exchange Forum, on research sharing, uptake, and use. Results Participants valued the opportunity to meet with researchers, provide feedback on key messages, and make personal connections with other stakeholders. A number of factors specific to the knowledge itself, stakeholders' contexts, and the nature of the knowledge gap being addressed influenced the uptake, sharing, and use of the research. The types of knowledge use changed across time, and were specifically related to both the types of decisions being made, and to stage of decision making; most reported use was conceptual or symbolic, with few examples of instrumental use. Participants did report actively sharing the research findings with their own networks. Further examination of these second-order knowledge-sharing processes is required, including development of appropriate methods and measures for its assessment. Some participants reported that they would not use the research evidence in their decision making when it contradicted professional experiences, while others
Jack Susan M
Full Text Available Abstract Background Violence against women (VAW is a major public health problem. Translation of VAW research to policy and practice is an area that remains understudied, but provides the opportunity to examine knowledge translation and exchange (KTE processes in a complex, multi-stakeholder context. In a series of studies including two randomized trials, the McMaster University VAW Research Program studied one key research gap: evidence about the effectiveness of screening women for exposure to intimate partner violence. This project developed and evaluated KTE strategies to share research findings with policymakers, health and community service providers, and women's advocates. Methods A longitudinal cross-sectional design, applying concurrent mixed data collection methods (surveys, interviews, and focus groups, was used to evaluate the utility of specific KTE strategies, including a series of workshops and a day-long Family Violence Knowledge Exchange Forum, on research sharing, uptake, and use. Results Participants valued the opportunity to meet with researchers, provide feedback on key messages, and make personal connections with other stakeholders. A number of factors specific to the knowledge itself, stakeholders' contexts, and the nature of the knowledge gap being addressed influenced the uptake, sharing, and use of the research. The types of knowledge use changed across time, and were specifically related to both the types of decisions being made, and to stage of decision making; most reported use was conceptual or symbolic, with few examples of instrumental use. Participants did report actively sharing the research findings with their own networks. Further examination of these second-order knowledge-sharing processes is required, including development of appropriate methods and measures for its assessment. Some participants reported that they would not use the research evidence in their decision making when it contradicted professional
Khalid Abdul Wahid
Full Text Available The purpose of this research is to investigate the impact of organizational knowledge factors and market knowledge factors on knowledge creation among Thai innovative companies. 464 questionnaires were distributed to Thai innovative companies registered under the National Innovation Agency (NIA and 217 were returned. Structural Equation Modelling (SEM is used to determine the effect of two sets of knowledge creation sources: organizational knowledge (social interaction, organizational routines and information system and market knowledge (customer orientation, competitor orientation and supplier orientation on knowledge creation (product and service outcome, process outcome and market outcome. The results indicated that the integration of organizational knowledge and market knowledge is the main driver of knowledge creation. Furthermore, the findings suggest that social interaction and customer orientation are the most significant predictors of knowledge creation. This study provides an empirical analysis on the importance of different sources of knowledge in the knowledge creation process in SMEs and its impact on companies’ innovative knowledge outcomes.
Alonso-Hernández, Carlos M.; Díaz-Asencio, Misael; Gómez-Batista, Miguel; Bolaños-Alvares, Yoelvis; Muñoz-Caravaca, Alain; Morera-Gómez, Yasser
The results achieved in the implementation of the radiochronology of marine sediments for the reconstruction of databases and knowledge of the evolution of environmental pollution in four coastal ecosystems of national significance are presented in this paper Fluxes of selected heavy metals and persistent organic compounds are discussed for the Cienfuegos and Havana bays and Sagua and La Coloma estuaries. Finally, is showed the effectiveness of radiochronology of sediments as a useful tool for environmental management and knowledge of temporal processes of pollution in the aquatic environment. (author)
Full Text Available The scenario described by the recent theoretical conceptions about innovation reflects a moment of transition from industrial paradigm to knowledge paradigm. A great expectation is arisen over the individuals responsible for defining contexts, promoting innovation and identifying opportunities. In the interest of approaching a wider concept of the entrepreneurial process and the understanding of this activity on the individual and group levels, the review promotes a discussion about the synergy between the competency and the inherent individual traits, as well as its insertion in team work, based on the dimensions of the knowledge typologies.
Cooper, Lynne P.
Users continuously evaluate the value and performance of their Knowledge Management Systems (KMS). As suggested by a punctuated socio-technical system process model, today's success can quickly become tomorrow's failure should the KMS fail to meet evolving needs and expectations. The more deeply a tool is embedded in the actual work process, the more vulnerable it is to emergent changes and perturbations. This paper uses the metaphor of a "3-stringed violin" to explore how differing levels of user knowledge about tools and processes can lead to system perturbations and how the active involvement of other actors can dampen the impact of perturbations, i.e., help the system survive the operational equivalent of a broken string. Recommendations suggest ways to increase system resiliency and contribute to incremental innovation.
... 20 Employees' Benefits 1 2010-04-01 2010-04-01 false What forms are needed to process claims under the FECA? 10.7 Section 10.7 Employees' Benefits OFFICE OF WORKERS' COMPENSATION PROGRAMS, DEPARTMENT...' COMPENSATION ACT, AS AMENDED General Provisions Definitions and Forms § 10.7 What forms are needed to process...
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Full Text Available Studies into knowledge sharings’ attitudes and intentions, in the context of the hotel industry, have received relatively little attention. This current study is intended to fill that void and contribute to the existing discussion of knowledge sharing studies of hotel businesses. The main objective of the current study is to examine: 1 the effect of extrinsic motivation, absorptive capacity, channel richness and sense of self-worth on people’s attitude towards knowledge sharing, and 2 the effect of people’s attitudes towards knowledge sharing and the intention to share knowledge. The study mainly uses the Theory of Reasoned Action (TRA as the point of departure to understand the attitude and intention of knowledge sharing. It also proposes six hypotheses. We conducted a survey among 300 employees from various hotels in the city of Ambon, Indonesia. The data are tested using Structural Equation Modelling (SEM techniques. The findings substantiate theoretical discussions and previous studies. The extrinsic motivation, absorptive capacity, and in-role behaviour have a positive effect on the attitude towards sharing knowledge. In addition, the attitude to knowledge sharing has a positive influence on the intention to share knowledge. Meanwhile, the effect of channel richness and the sense of self-worth on the attitude to knowledge sharing are not supported. The study also provides suggestions for hotel businesses to offer extrinsic rewards and improve their employees’ skills in order to enhance the employees’ absorptive capacities.
acquisition, transfer, and depreciation of knowledge in service organizations: Productivity in franchises . Management Science, 41(11, Focused Issue on...Slevin, D.P. 1993. Entrepreneurship and the concept of fit: A model and empirical tests. Strategic Management Journal, 14(2): 137-153. Naval
Cornelissen, Frank; Daly, Alan J.; Liou, Yi-Hwa; Van Swet, Jacqueline; Beijaard, Douwe; Bergen, Theo C. M.
This study investigated the way developing, sharing and using of research-based knowledge occurred in the school-university research network of a master's programme for in-service teachers in the Netherlands. Over a 10-month period, a combination of quantitative and qualitative network data was collected. Data were analysed at three network…
Cress, Ulrike; Held, Christoph; Kimmerle, Joachim
Tag clouds generated in social tagging systems can capture the collective knowledge of communities. Using as a basis spreading activation theories, information foraging theory, and the co-evolution model of cognitive and social systems, we present here a model for an "extended information scent," which proposes that both collective and individual…
McQueen, Robert J.; Janson, Annick
Purpose: This paper aims to examine factors which influence how tacit knowledge is built and applied by client-facing consultants. Design/methodology/approach: Qualitative methods (interviews, thematic analysis) were used to gather and analyse data from 15 consultants in an agricultural extension context. Findings: Twenty-six factors about how…
Stiffler, A. Kent
The general operation of KATE, an artificial intelligence controller, is outlined. A shuttle environmental control system (ECS) demonstration system for KATE is explained. The knowledge base model for this system is derived. An experimental test procedure is given to verify parameters in the model.
van Burg, J.C.; Berends, J.J.; van Raaij, E.
This article explains how and why organizational actors' decisions about interorganizational knowledge transfer might change over time. We find that organizational actors' framing of future innovation developments, as either an opportunity or a threat, motivates them to engage or disengage in
Munoz-Garcia, Ana Luisa; Chiappa, Roxana
In this article, we analyse the impact of academic mobility on the construction of knowledge for Chilean scholars who have studied abroad. We conducted 41 semi-structured interviews with Chilean-born scholars in the social sciences and humanities, who accepted jobs at national research universities in Chile after receiving their doctorates abroad.…
Kirsten Stephan; Melanie Miller; Matthew B. Dickinson
Herbaceous plants and shrubs have received little attention in terms of fire effects modeling despite their critical role in ecosystem integrity and resilience after wildfires and prescribed burns. In this paper, we summarize current knowledge of direct effects of fire on herb and shrub (including cacti) vegetative tissues and seed banks, propose key components for...
Caiazza, Rosa; Foss, Nicolai Juul; Volpe, Tiziana
, and as such, it makes the intervention points through which people management can facilitate organizational effectiveness through innovation more transparent. Originality/value: – The paper provides guidance for future researchers on knowledge and innovation diffusion. It encourages innovation in our thinking...
You will never believe what happened at the party yesterday! Ellen kissed Ruben and Peter…. Suppose this is the last thing you read in your friend’s e-mail before your computer breaks down. If you have some prior knowledge regarding the situation described, you would be able to guess how the
Ashok, M.; Narula, R.; Martinez-Noya, A.
Purpose: Despite the keen interest in radical and incremental innovation, few studies have tested the varying impact of firm-level factors in service sectors. This paper analyses how collaboration with existing and prospective users, and investments in knowledge management (KM) practices can be
Kim, Jong Hyun; Seong, Poong Hyun
This paper proposes a quantitative approach to modeling the information processing of NPP operators. The aim of this work is to derive the amount of the information processed during a certain control task under input information overload. We primarily develop the information processing model having multiple stages, which contains information flow. Then the uncertainty of the information is quantified using the Conant's model, a kind of information theory. We also investigate the applicability of this approach to quantifying the information reduction of operators under the input information overload
Patrícia Mendanha Dias
Full Text Available Under the aegis of the democratic rule of law, the contradictory it appears as a fundamental premise of constitutionalised process. In this view, the contradictory, more than just right party to exercise its right of defense, it should be seen as a form of compartipação in the process, allowing the parties to the probative production as an effective influence on acertamento right. Thus, it should be disproved the right mitigation attempts contradictory in the evidentiary phase and imposing aside the need to produce proofimpossible or difficult to perform, under penalty of offending the process understood in the modern normative framework.
van Otterlo, M.
Learning and reasoning in large, structured, probabilistic worlds is at the heart of artificial intelligence. Markov decision processes have become the de facto standard in modeling and solving sequential decision making problems under uncertainty. Many efficient reinforcement learning and dynamic
Bakanauskienė Irena; Baronienė Laura
This article is intended to theoretically justify the decision-making process model for the cases, when active participation of investing entities in controlling the activities of an organisation and their results is noticeable. Based on scientific literature analysis, a concept of controlled conditions is formulated, and using a rational approach to the decision-making process, a model of the 11-steps decision-making process under controlled intervention is presented. Also, there have been u...
Full Text Available Abstract Background Identification of transcription factors (TFs involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms. However, due to the involvement of a large number of genes and complicated interactions in a gene regulatory network (GRN, identification of the TFs involved in a biology process remains to be very challenging. In reality, the recognition of TFs for a given a biological process can be further complicated by the fact that most eukaryotic genomes encode thousands of TFs, which are organized in gene families of various sizes and in many cases with poor sequence conservation except for small conserved domains. This poses a significant challenge for identification of the exact TFs involved or ranking the importance of a set of TFs to a process of interest. Therefore, new methods for recognizing novel TFs are desperately needed. Although a plethora of methods have been developed to infer regulatory genes using microarray data, it is still rare to find the methods that use existing knowledge base in particular the validated genes known to be involved in a process to bait/guide discovery of novel TFs. Such methods can replace the sometimes-arbitrary process of selection of candidate genes for experimental validation and significantly advance our knowledge and understanding of the regulation of a process. Results We developed an automated software package called TF-finder for recognizing TFs involved in a biological process using microarray data and existing knowledge base. TF-finder contains two components, adaptive sparse canonical correlation analysis (ASCCA and enrichment test, for TF recognition. ASCCA uses positive target genes to bait TFS from gene expression data while enrichment test examines the presence of positive TFs in the outcomes from ASCCA. Using microarray data from salt and water stress experiments, we showed TF-finder is very efficient in recognizing
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. PMID:28786994
Stewart, Helen; Spence, Matt Chew; Holm, Jeanne; Koga, Dennis (Technical Monitor)
This white paper explores how to increase the success and operation of critical, complex, national systems by effectively capturing knowledge management requirements within the federal acquisition process. Although we focus on aerospace flight systems, the principles outlined within may have a general applicability to other critical federal systems as well. Fundamental design deficiencies in federal, mission-critical systems have contributed to recent, highly visible system failures, such as the V-22 Osprey and the Delta rocket family. These failures indicate that the current mechanisms for knowledge management and risk management are inadequate to meet the challenges imposed by the rising complexity of critical systems. Failures of aerospace system operations and vehicles may have been prevented or lessened through utilization of better knowledge management and information management techniques.
Kungah Nfor, B.
The increasing market and regulatory (quality and safety) demands on therapeutic proteins calls for radical improvement in their manufacturing processes. Addressing these challenges requires the adoption of strategies and tools that enable faster and more efficient process development. This thesis
processing is not affected. Reliability The Customer or Order systems are unavailable. If either fails, order processing halts and alerts are...online immediately, and sends a fax to the customer who orders the container. The whole order processing process can be completed in one day. IT plays...Messages build up in the OrderQ until the email server restarts. Messages are then sent by the SendEmail component to remove the backlog. Order
Limam Mansar, S.; Reijers, H.A.; Marir, F.
Business Process Redesign (BPR) helps rethinking a process in order to enhance its performance. Practitioners have been developing methodologies to support BPR implementation. However, most methodologies lack actual guidance on deriving a process design threatening the success of BPR. In this paper,
Mallowan , Monica; Marcon , Christian
International audience; Students in Competitive Intelligence (CI) programs submit a report following their internship in an organisation. It is proposed that the result of their experiences be shared with their peers, in the form of cases written for in-class analysis. A knowledge base is thus created, which gradually becomes the program's memory and, by its constant renewal and connection with the reality, the most useful teaching tool for the professor.
Archibald, Mandy M; Hartling, Lisa; Ali, Samina; Caine, Vera; Scott, Shannon D
Although it is well established that family-centered education is critical to managing childhood asthma, the information needs of parents of children with asthma are not being met through current educational approaches. Patient-driven educational materials that leverage the power of the storytelling and the arts show promise in communicating health information and assisting in illness self-management. However, such arts-based knowledge translation approaches are in their infancy, and little is known about how to develop such tools for parents. This paper reports on the development of "My Asthma Diary" - an innovative knowledge translation tool based on rigorous research evidence and tailored to parents' asthma-related information needs. We used a multi-stage process to develop four eBook prototypes of "My Asthma Diary." We conducted formative research on parents' information needs and identified high quality research evidence on childhood asthma, and used these data to inform the development of the asthma eBooks. We established interdisciplinary consulting teams with health researchers, practitioners, and artists to help iteratively create the knowledge translation tools. We describe the iterative, transdisciplinary process of developing asthma eBooks which incorporates: (I) parents' preferences and information needs on childhood asthma, (II) quality evidence on childhood asthma and its management, and (III) the engaging and informative powers of storytelling and visual art as methods to communicate complex health information to parents. We identified four dominant methodological and procedural challenges encountered during this process: (I) working within an inter-disciplinary team, (II) quantity and ordering of information, (III) creating a composite narrative, and (IV) balancing actual and ideal management scenarios. We describe a replicable and rigorous multi-staged approach to developing a patient-driven, creative knowledge translation tool, which can be
Demberere, Tendai; Chidziya, Tayedza; Ncozana, Tatenda; Manyeruke, Norman
The research study sought to assess knowledge and practices of mothers of under-fives regarding WASH in Mawabeni communal area in Zimbabwe. Focus group discussions, interviews, questionnaires and observation checklists were used to collect data. Data was analysed by developing specific themes related to the objectives and then frequencies were computed in Microsoft Excel. The mean score on WASH knowledge for the mothers of under-fives according to the Knowledge Index was 1. Knowledge regarding safety of water from different sources was generally poor with 70% of the mothers regarding water from surface sources to be safe to drink without treatment. Use of wide mouthed containers without lids was also common in the study area. However, no relationship was established between the type of water container used and the socio-demographic characteristics of the respondents. Knowledge regarding the importance of ablutions was generally good as highlighted by 78% of the mothers who regarded latrines as being important in prevention and control of diseases as well as for hygiene purposes. However, latrine ownership was noted to be related to the income level of the household (p sanitation practices on WASH among mothers of under-fives in Mawabeni were both poor and this could be a contributory factor to the high incidence of diarrheal diseases for under-fives in the area.
Guzel Isayevna Gumerova; Elmira Shamilevna Shaimieva
Objective to define the notion of ldquohightech businessrdquo to elaborate classification of hightech businesses to elaborate the business model for hightech business management. Methods general scientific methods of theoretical and empirical cognition. Results the research presents a business model of hightech businesses management basing on the trends of explicit and explicit knowledge market with the dominating implicit knowledge market classification of hightech business...
Truong, Minh Chau
The transition from an industrial to a post industrial knowledge economy provides and increases in the proportion of jobs that are knowledge intensive. There are statistical analyses typically show that managerial and professional work regarding to knowledge intensive becoming one of the fastest growing occupational groups since the 1980s. Elias and Gregory; Fleming et al. (1994, cited in Hislop 2013:7). Knowledge management, therefore is a contemporary field which provides many interesting ...
Li, Xiaoqing; Zhang, Yuping; Xia, Jinyan; Swaab, Tamara Y
Although numerous studies have demonstrated that the language processing system can predict upcoming content during comprehension, there is still no clear picture of the anticipatory stage of predictive processing. This electroencephalograph study examined the cognitive and neural oscillatory mechanisms underlying anticipatory processing during language comprehension, and the consequences of this prediction for bottom-up processing of predicted/unpredicted content. Participants read Mandarin Chinese sentences that were either strongly or weakly constraining and that contained critical nouns that were congruent or incongruent with the sentence contexts. We examined the effects of semantic predictability on anticipatory processing prior to the onset of the critical nouns and on integration of the critical nouns. The results revealed that, at the integration stage, the strong-constraint condition (compared to the weak-constraint condition) elicited a reduced N400 and reduced theta activity (4-7Hz) for the congruent nouns, but induced beta (13-18Hz) and theta (4-7Hz) power decreases for the incongruent nouns, indicating benefits of confirmed predictions and potential costs of disconfirmed predictions. More importantly, at the anticipatory stage, the strongly constraining context elicited an enhanced sustained anterior negativity and beta power decrease (19-25Hz), which indicates that strong prediction places a higher processing load on the anticipatory stage of processing. The differences (in the ease of processing and the underlying neural oscillatory activities) between anticipatory and integration stages of lexical processing were discussed with regard to predictive processing models. Copyright © 2017 Elsevier Ltd. All rights reserved.
Full Text Available This article is intended to theoretically justify the decision-making process model for the cases, when active participation of investing entities in controlling the activities of an organisation and their results is noticeable. Based on scientific literature analysis, a concept of controlled conditions is formulated, and using a rational approach to the decision-making process, a model of the 11-steps decision-making process under controlled intervention is presented. Also, there have been unified conditions, describing the case of controlled interventions thus providing preconditions to ensure the adequacy of the proposed decision-making process model.
Seidel, Kathrin; Kahl, Johannes; Paoletti, Flavio; Birlouez, Ines; Busscher, Nicolaas; Kretzschmar, Ursula; Särkkä-Tirkkonen, Marjo; Seljåsen, Randi; Sinesio, Fiorella; Torp, Torfinn; Baiamonte, Irene
The market for processed food is rapidly growing. The industry needs methods for "processing with care" leading to high quality products in order to meet consumers' expectations. Processing influences the quality of the finished product through various factors. In carrot baby food, these are the raw material, the pre-processing and storage treatments as well as the processing conditions. In this study, a quality assessment was performed on baby food made from different pre-processed raw materials. The experiments were carried out under industrial conditions using fresh, frozen and stored organic carrots as raw material. Statistically significant differences were found for sensory attributes among the three autoclaved puree samples (e.g. overall odour F = 90.72, p processed from frozen carrots show increased moisture content and decrease of several chemical constituents. Biocrystallization identified changes between replications of the cooking. Pre-treatment of raw material has a significant influence on the final quality of the baby food.
Holdt Christensen, Peter
The concept of knowledge management has, indeed, become a buzzword that every single organization is expected to practice and live by. Knowledge management is about managing the organization's knowledge for the common good of the organization -but practicing knowledge management is not as simple...... as that. This article focuses on knowledge sharing as the process seeking to reduce the resources spent on reinventing the wheel.The article introduces the concept of time sensitiveness; i.e. that knowledge is either urgently needed, or not that urgently needed. Furthermore, knowledge sharing...... is considered as either a push or pull system. Four strategies for sharing knowledge - help, post-it, manuals and meeting, and advice are introduced. Each strategy requires different channels for sharing knowledge. An empirical analysis in a production facility highlights how the strategies can be practiced....
Côté, Hélène; de Elía, Ramón; Larrivée, Caroline; Chaumont, Diane
Over the last decade, many countries implemented various initiatives to bring their scientific community to develop more research projects addressing end-user needs. This shift in priorities gave rise to new expressions such as « actionable science », « co-production of knowledge » etc. This phenomenon is noteworthy in climate and climate change related research due to the pressing needs for societies to both adapt to climate change and quickly reduce greenhouse gases emissions. Although the attempt to include users into their projects made perfect sense, academic and even governmental researchers have often been overwhelmed by the "language barrier", the variety of needs, and the magnitude of the viewpoint change required to provide salient, credible and legitimate information to decision makers. In addition, many researchers worry that their growing involvement with users might jeopardize the progress of their own scientific interests and slowdown their academic careers. Useŕs needs are not necessarily well defined nor solely driven by scientific issues. They are a more or less complex mixture of short-term obligations like the sudden realization that an imminent decision needs to take climate change into account, long-term concerns about their risks and vulnerabilities, and knowledge gaps involving interdisciplinary inputs and communication challenges. In this context, the emergence of boundary organizations is a convincing approach to build the interface between science and end users. Since a single individual or even a single organization is rarely able to completely fulfill useŕs expectations, this presentation will show how strong and productive links between academia, boundary organization and users can stimulate knowledge transfer among all parties. To that purpose, examples will be taken from the 15-year existence of Ouranos Consortium on Regional Climatology and Adaptation to Climate Change (Montreal, Canada). We will see how Ouranoś staff -with
Buranathiti, Thaweepat; Cao, Jian; Chen, Wei; Xia, Z. Cedric
Sheet metal stamping processes have been widely implemented in many industries due to its repeatability and productivity. In general, the simulations for a sheet metal forming process involve nonlinearity, complex material behavior and tool-material interaction. Instabilities in terms of tearing and wrinkling are major concerns in many sheet metal stamping processes. In this work, a sheet metal stamping process of a mild steel for a wheelhouse used in automobile industry is studied by using an explicit nonlinear finite element code and incorporating failure analysis (tearing and wrinkling) and design under uncertainty. Margins of tearing and wrinkling are quantitatively defined via stress-based criteria for system-level design. The forming process utilizes drawbeads instead of using the blank holder force to restrain the blank. The main parameters of interest in this work are friction conditions, drawbead configurations, sheet metal properties, and numerical errors. A robust design model is created to conduct a probabilistic design, which is made possible for this complex engineering process via an efficient uncertainty propagation technique. The method called the weighted three-point-based method estimates the statistical characteristics (mean and variance) of the responses of interest (margins of failures), and provide a systematic approach in designing a sheet metal forming process under the framework of design under uncertainty
Full Text Available Historical analysis of domination patterns identifies phases of ongoing dialectics between rich and poor world areas, claiming instances of self-determination and empowerment in international programs of cooperation. At the same time, new major imbalances in relations of power emerge between new global players, who appear to be committed in a competition towards the Western model of development, mainly characterized by the control over technologies and knowledge/. /Such practices of emulation provide examples of complicity with the hegemonic rhetoric, and help strengthen pairs of opposites (emerging/advanced, technological/intuitive, hegemonic/subaltern increasingly polarized and less dialectical.
Adesokan, H K; Raji, A O Q
Food-borne disease outbreaks remain a major global health challenge and cross-contamination from raw meat due to poor handling is a major cause in developing countries. Adequate knowledge of meat handlers is important in limiting these outbreaks. This study evaluated and compared the safe meat-handling knowledge, attitudes and practices (KAP) of private (PMPP) and government meat processing plants' (GMPP) workers in south-western Nigeria. This cross sectional study comprised 190 meat handlers (PMPP = 55; GMPP = 135). Data concerning their safe meat-handling knowledge, attitudes and practices as well as their socio-demographic characteristics, such as age, gender and work experience were collected. A significant association was observed between the type of meat processing plants and their knowledge (p = 0.000), attitudes (p = 0.000) and practices (p = 0.000) of safe meat-handling. Meat handlers in the GMPP were respectively, about 17 times (OR = 0.060, 95% CI: 0.018-0.203), 57 times (OR = 0.019, 95% CI: 0.007-0.054) and 111 times (OR = 0.009, 95% CI: 0.001- 0.067) less likely to obtain good knowledge, attitude and practice level of safe meat-handling than those from PMPP. Further, KAP levels were significantly associated with age group, education and work experience (p < 0.05). Study findings suggest the need for future policy in food industry in developing countries to accommodate increased involvement of private sector for improved food safety and quality delivery. Public health education on safe food handling and hygiene should be on the front burner among food handlers in general.
Concentrated flow erosion processes are distinguished from splash and sheetflow processes in their enhanced ability to mobilize and transport large amounts of soil, water and dissolved elements. On rangelands, soil, nutrients and water are scarce and only narrow margins of resource losses are tolera...
Zhang, Linda L.; Xu, Qianli; Helo, Petri
Planning production processes for product families have been well recognised as an effective means of achieving successful product family development. However, most existing approaches do not lend themselves to planning production processes with focus on the optimality of the cohort of a product
Thyreau, Benjamin; Sato, Kazunori; Fukuda, Hiroshi; Taki, Yasuyuki
The hippocampus is a particularly interesting target for neuroscience research studies due to its essential role within the human brain. In large human cohort studies, bilateral hippocampal structures are frequently identified and measured to gain insight into human behaviour or genomic variability in neuropsychiatric disorders of interest. Automatic segmentation is performed using various algorithms, with FreeSurfer being a popular option. In this manuscript, we present a method to segment the bilateral hippocampus using a deep-learned appearance model. Deep convolutional neural networks (ConvNets) have shown great success in recent years, due to their ability to learn meaningful features from a mass of training data. Our method relies on the following key novelties: (i) we use a wide and variable training set coming from multiple cohorts (ii) our training labels come in part from the output of the FreeSurfer algorithm, and (iii) we include synthetic data and use a powerful data augmentation scheme. Our method proves to be robust, and it has fast inference (deep neural-network methods can easily encode, and even improve, existing anatomical knowledge, even when this knowledge exists in algorithmic form. Copyright © 2017 Elsevier B.V. All rights reserved.
Marta Abreu de las Villas (Cuba))" data-affiliation=" (Departamento de Ingeniería Química. Facultad de Química y Farmacia. Universidad Central Marta Abreu de las Villas (Cuba))" >González-Cortés, Meilyn; Marta Abreu de las Villas (Cuba))" data-affiliation=" (Departamento de Ingeniería Química. Facultad de Química y Farmacia. Universidad Central Marta Abreu de las Villas (Cuba))" >Martínez-Martínez, Yenisleidys; Marta Abreu de las Villas (Cuba))" data-affiliation=" (Departamento de Ingeniería Química. Facultad de Química y Farmacia. Universidad Central Marta Abreu de las Villas (Cuba))" >Albernas-Carvajal, Yailet; Marta Abreu de las Villas (Cuba))" data-affiliation=" (Departamento de Ingeniería Química. Facultad de Química y Farmacia. Universidad Central Marta Abreu de las Villas (Cuba))" >Pedraza-Garciga, Julio; Marta Abreu de las Villas (Cuba))" data-affiliation=" (Departamento de Ingeniería Química. Facultad de Química y Farmacia. Universidad Central Marta Abreu de las Villas (Cuba))" >Morales-Zamora, Marlen
The uncertainty has a great impact in the investment decisions, operability of the plants and in the feasibility of integration opportunities in the chemical processes. This paper, presents the steps to consider the optimization of process investment in the processes integration under conditions of uncertainty. It is shown the potentialities of the biomass cane of sugar for the integration with several plants in a biorefinery scheme for the obtaining chemical products, thermal and electric energy. Among the factories with potentialities for this integration are the pulp and paper and sugar factories and other derivative processes. Theses factories have common resources and also have a variety of products that can be exchange between them so certain products generated in a one of them can be raw matter in another plant. The methodology developed guide to obtaining of feasible investment projects under uncertainty. As objective function was considered the maximization of net profitable value in different scenarios that are generated from the integration scheme. (author)
Konishi, Satoshi; Yoshida, Hiroshi; Naruse, Yuji; Binning, K.E.; Carlson, R.V.; Bartlit, J.R.; Anderson, J.L.
The process ready components for Fuel Cleanup System were tested at the TSTA under the US-Japan Collaboration program. Palladium diffuser for tritium purification and Ceramic Electrolysis Cell for decomposition of tritiated water respectively were tested with pure tritium for years. The characteristics of the components with hydrogen isotopes, effects of impurities, and long-term reliability of the components were studied. It was concluded that these components are suitable and attractive for fusion fuel processing systems. (author)
Abel Merino Orozco; Ana Arraiz Pérez; Fernando Sabirón Sierra
Under 6s football competition is a school sport that has inherent educational implications. Moreover, it is a booming non-formal socio-educational framework where families and children lay training expectations and dreams. The aim is to comprehend the emerging learning processes promoted in this environment for 6 years-old children, when the child starts the institutionalization process in the ruled sport. The research uses a case study design, the ethnographic mode, through participant obser...
Lane, David M; Chang, Yu-Hsuan A
The expertise effect in memory for chess positions is one of the most robust effects in cognitive psychology. One explanation of this effect is that chess recall is based on the recognition of familiar patterns and that experts have learned more and larger patterns. Template theory and its instantiation as a computational model are based on this explanation. An alternative explanation is that the expertise effect is due, in part, to stronger players having better and more conceptual knowledge, with this knowledge facilitating memory performance. Our literature review supports the latter view. In our experiment, a sample of 79 chess players were given a test of memory for chess positions, a test of declarative chess knowledge, a test of fluid intelligence, and a questionnaire concerning the amount of time they had played nontournament chess and the amount of time they had studied chess. We determined the numbers of tournament games the players had played from chess databases. Chess knowledge correlated .67 with chess memory and accounted for 16% of the variance after controlling for chess experience. Fluid intelligence accounted for an additional 13% of the variance. These results support the conclusion that both high-level conceptual processing and low-level recognition of familiar patterns play important roles in memory for chess positions.
Even though energy policy makers were novices when wind power was introduced in the Midi Pyrenees region, the situation had changed when the photovoltaic was implemented. The new challenges policy makers experimented about the wind power and their opponents, the wood energy and the primacy of the wood's industrials, the photovoltaic and the preservation of the agricultural lands, fostered their learning and gradually lead them to change their perception of inherent issues. The coalitions forged between technical experts and policy makers unbind along the progressive empowerment of the formers. Shared between different forms of knowledge, however, the resources needed to implement renewable energies projects cannot be reduced to the technical dimension. Local knowledge and engineering knowledge increasingly compete with expert knowledge. This evolution corresponds to a policy arrangement change. Since the dynamic but also the elements that compose this political system change, a new reality gradually emerges. This whole process will be the main concern of this thesis. We will finally notice that there are some differences between the implementation of these renewable energies among the territories but also among the three forms of renewable energies we analyze. This means that although renewable energy policy are based on interactions between actors' resources, discourse and rules, they also emerge from the action of intermediates actors, and from the characteristic of each territories in which they are implemented. (author)
Waqa, Gade; Mavoa, Helen; Snowdon, Wendy; Moodie, Marj; Schultz, Jimaima; McCabe, Marita; Kremer, Peter; Swinburn, Boyd
The importance of using research evidence in decisionmaking at the policy level has been increasingly recognized. However, knowledge brokering to engage researchers and policymakers in government and non-government organizations is challenging. This paper describes and evaluates the knowledge exchange processes employed by the Translational Research on Obesity Prevention in Communities (TROPIC) project that was conducted from July 2009 to April 2012 in Fiji. TROPIC aimed to enhance: the evidence-informed decisionmaking skills of policy developers; and awareness and utilization of local and other obesity-related evidence to develop policies that could potentially improve the nation's food and physical activity environments. The specific research question was: Can a knowledge brokering approach advance evidence-informed policy development to improve eating and physical activity environments in Fiji. The intervention comprised: recruiting organizations and individuals; mapping policy environments; analyzing organizational capacity and support for evidence-informed policymaking (EIPM); developing EIPM skills; and facilitating development of evidence-informed policy briefs. Flexible timetabling of activities was essential to accommodate multiple competing priorities at both individual and organizational levels. Process diaries captured the duration, frequency and type of each interaction and/or activity between the knowledge brokering team and participants or their organizations. Partnerships were formalized with high-level officers in each of the six participating organization. Participants (n = 49) developed EIPM skills (acquire, assess, adapt and apply evidence) through a series of four workshops and applied this knowledge to formulate briefs with ongoing one-to-one support from TROPIC team members. A total of 55% of participants completed the 12 to18 month intervention, and 63% produced one or more briefs (total = 20) that were presented to higher
Kock, Ned F; Murphy, Frederic
Current business process redesign practices, in the defense sector as well as in business in general, are based on several assumptions inherited from Taylor s scientific management method, including...
Egodawatta, Prasanna; Goonetilleke, Ashantha
Pollutant wash-off is one of the key pollutant processes that detailed knowledge is required in order to develop successful treatment design strategies for urban stormwater. Unfortunately, current knowledge relating to pollutant wash-off is limited. This paper presents the outcomes of a detailed investigation into pollutant wash-off on residential road surfaces. The investigations consisted of research methodologies formulated to overcome the physical constraints due to the heterogeneity of urban paved surfaces and the dependency on naturally occurring rainfall. This entailed the use of small road surface plots and artificially simulated rainfall. Road surfaces were selected due to its critical importance as an urban stormwater pollutant source. The study results showed that the influence of initially available pollutants on the wash-off process was limited. Furthermore, pollutant wash-off from road surfaces can be replicated using an exponential equation. However, the typical version of the exponential wash-off equation needs to be modified by introducing a non dimensional factor referred to as 'capacity factor' CF. Three rainfall intensity ranges were identified where the variation of CF can be defined. Furthermore, it was found that particulate density rather than size is the critical parameter that influences the process of pollutant wash-off. (c) IWA Publishing 2008.
Leff, Stephen S.; Cassano, Michael; MacEvoy, Julie Paquette; Costigan, Tracy
Over the past fifteen years many schools have utilized aggression prevention programs. Despite these apparent advances, many programs are not examined systematically to determine the areas in which they are most effective. One reason for this is that many programs, especially those in urban under-resourced areas, do not utilize outcome measures…
Full Text Available Abstract Background Incorporation of ontologies into annotations has enabled 'semantic integration' of complex data, making explicit the knowledge within a certain field. One of the major bottlenecks in developing bio-ontologies is the lack of a unified methodology. Different methodologies have been proposed for different scenarios, but there is no agreed-upon standard methodology for building ontologies. The involvement of geographically distributed domain experts, the need for domain experts to lead the design process, the application of the ontologies and the life cycles of bio-ontologies are amongst the features not considered by previously proposed methodologies. Results Here, we present a methodology for developing ontologies within the biological domain. We describe our scenario, competency questions, results and milestones for each methodological stage. We introduce the use of concept maps during knowledge acquisition phases as a feasible transition between domain expert and knowledge engineer. Conclusion The contributions of this paper are the thorough description of the steps we suggest when building an ontology, example use of concept maps, consideration of applicability to the development of lower-level ontologies and application to decentralised environments. We have found that within our scenario conceptual maps played an important role in the development process.
Iwankiewicz, R.; Nielsen, Søren R.K.; Larsen, Jesper Winther
A dynamic system under parametric excitation in the form of a non-Erlang renewal jump process is considered. The excitation is a random train of nonoverlapping rectangular pulses with equal, deterministic heights. The time intervals between two consecutive jumps up (or down), are the sum of two...
Ferry, Barbara; Duchamp-Viret, Patricia
To test the selectivity of the orexin A (OXA) system in olfactory sensitivity, the present study compared the effects of fasting and of central infusion of OXA on the memory processes underlying odor-malaise association during the conditioned odor aversion (COA) paradigm. Animals implanted with a cannula in the left ventricle received ICV infusion…
Wang, Li; Zhang, Xiaojie; Tian, Hongkun; Lu, Yunfeng; Geng, Yanhou; Wang, Fosong
A cyano-terminated dimer of dithienyldiketopyrrolopyrrole (TDPP), DPP2-CN, is a solution processable ambipolar semiconductor with field-effect hole and electron mobilities of 0.066 and 0.033 cm(2) V(-1) s(-1), respectively, under ambient conditions.
Nadirov, N.K.; Konaev, Eh.N.
Technological opportunity of high paraffin Kumkol petroleum processing under the fuel and lubricant scheme with production of lubricant materials in short supply, combustible materials and technical paraffin is shown. Mini petroleum block putting into operation on Kumkol deposit is reasonable economically and raises profitableness of hydrocarbon raw material production. (author)
..., or visit our Internet site, Social Security Online, at http://www.socialsecurity.gov . SUPPLEMENTARY... SOCIAL SECURITY ADMINISTRATION 20 CFR Parts 404 and 416 [Docket No. SSA-2010-0060] RIN 0960-AH26 Expedited Vocational Assessment Under the Sequential Evaluation Process AGENCY: Social Security...
... site, Social Security Online, at http://www.socialsecurity.gov . SUPPLEMENTARY INFORMATION: Background... SOCIAL SECURITY ADMINISTRATION [Docket No. SSA-2013-0042] Agency Proposed Business Process Vision Under the Rehabilitation Act of 1973 AGENCY: Social Security Administration (SSA). ACTION: Notice of...
Full Text Available The most valuable resource available to any organization today is its knowledge asset which is stored in processes and information systems, corporate data warehouses, employees’ brains, copyrights and patents. Knowledge management is the process of capturing, distributing, and effectively using this knowledge. The factors affecting Knowledge Management can be listed as follows: organizational culture, knowledge manager, the evolution of knowledge, knowledge polution and technology.
Under the Atomic Energy Act, a licence may be granted for a nuclear installation provided that 'every precaution which is necessary in the light of existing scientific knowledge and technology has been taken to provide adequate protection against damage due to the erection or operation of the installation' (section 7, sub-sec. (2), no. 3 of the Atomic Energy Act). This condition can be split off into two specific problem fields, and for each a rather unspecific legal concept is to be more exactly defined. The author explains the technique of the law hitherto applied in the weighting and evaluation of hazards and risks and comes to the conclusion that the technique adopted has been subject to pre-legal appraisals: the result in terms of the law is not the final step in the process of legal evaluation, but quite to the contrary, the legal technique applied has been derived from the wanted result. This, the author says, is a crisis of legitimation of the law. (HSCH) [de
Rogers, James L.; McCulley, Collin M.; Bloebaum, Christina L.
The design cycle associated with large engineering systems requires an initial decomposition of the complex system into design processes which are coupled through the transference of output data. Some of these design processes may be grouped into iterative subcycles. In analyzing or optimizing such a coupled system, it is essential to be able to determine the best ordering of the processes within these subcycles to reduce design cycle time and cost. Many decomposition approaches assume the capability is available to determine what design processes and couplings exist and what order of execution will be imposed during the design cycle. Unfortunately, this is often a complex problem and beyond the capabilities of a human design manager. A new feature, a genetic algorithm, has been added to DeMAID (Design Manager's Aid for Intelligent Decomposition) to allow the design manager to rapidly examine many different combinations of ordering processes in an iterative subcycle and to optimize the ordering based on cost, time, and iteration requirements. Two sample test cases are presented to show the effects of optimizing the ordering with a genetic algorithm.
Full Text Available Whilst peer review is the common form of scholarly refereeing, there are many differing aspects to this process. There is a view that the system is not without its faults and this has given rise to increasing discussion and examination of the process as a whole. Since the importance of peer review is based on the primary way in which quality control is asserted within the academic world, the concern is what impact this is having on an ever increasing diversity of scholarship, in particular, within and between science and engineering disciplines. The peer review process as is commonly understood, and increasingly considered as a conservative approach which is failing to adequately deal with the challenges of assessing interdisciplinary research, publications and outputs.
Chester, R.O.; Kirkscey, K.A.; Randolph, M.L.
Hazards of chemical potentially associated with the advanced isotope separation processes are estimated based on open literature references. The tentative quantity of each chemical associated with the processes and the toxicity of the chemical are used to estimate this hazard. The chemicals thus estimated to be the most potentially hazardous to health are fluorine, nitric acid, uranium metal, uranium hexafluoride, and uranium dust. The estimated next most hazardous chemicals are bromine, hydrobromic acid, hydrochloric acid, and hydrofluoric acid. For each of these chemicals and for a number of other process-associated chemicals the following information is presented: (1) any applicable standards, recommended standards and their basis; (2) a brief discussion to toxic effects including short exposure tolerance, atmospheric concentration immediately hazardous to life, evaluation of exposures, recommended control procedures, chemical properties, and a list of any toxicology reviews; and (3) recommendations for future research
Chester, R.O.; Kirkscey, K.A.; Randolph, M.L.
Hazards of chemical potentially associated with the advanced isotope separation processes are estimated based on open literature references. The tentative quantity of each chemical associated with the processes and the toxicity of the chemical are used to estimate this hazard. The chemicals thus estimated to be the most potentially hazardous to health are fluorine, nitric acid, uranium metal, uranium hexafluoride, and uranium dust. The estimated next most hazardous chemicals are bromine, hydrobromic acid, hydrochloric acid, and hydrofluoric acid. For each of these chemicals and for a number of other process-associated chemicals the following information is presented: (1) any applicable standards, recommended standards and their basis; (2) a brief discussion to toxic effects including short exposure tolerance, atmospheric concentration immediately hazardous to life, evaluation of exposures, recommended control procedures, chemical properties, and a list of any toxicology reviews; and (3) recommendations for future research.
Castillo, A.; Cheali, Peam; Gómez, V.
The increasing demand on wastewater treatment plants (WWTPs) has involved an interest in improving the alternative treatment selection process. In this study, an integrated framework including an intelligent knowledge-based system and superstructure-based optimization has been developed and applied...... to a real case study. Hence, a multi-criteria analysis together with mathematical models is applied to generate a ranked short-list of feasible treatments for three different scenarios. Finally, the uncertainty analysis performed allows for increasing the quality and robustness of the decisions considering...... benefit and synergy is achieved when both tools are integrated because expert knowledge and expertise are considered together with mathematical models to select the most appropriate treatment alternative...
Frässle, Stefan; Krach, Sören; Paulus, Frieder Michel; Jansen, Andreas
While the right-hemispheric lateralization of the face perception network is well established, recent evidence suggests that handedness affects the cerebral lateralization of face processing at the hierarchical level of the fusiform face area (FFA). However, the neural mechanisms underlying differential hemispheric lateralization of face perception in right- and left-handers are largely unknown. Using dynamic causal modeling (DCM) for fMRI, we aimed to unravel the putative processes that mediate handedness-related differences by investigating the effective connectivity in the bilateral core face perception network. Our results reveal an enhanced recruitment of the left FFA in left-handers compared to right-handers, as evidenced by more pronounced face-specific modulatory influences on both intra- and interhemispheric connections. As structural and physiological correlates of handedness-related differences in face processing, right- and left-handers varied with regard to their gray matter volume in the left fusiform gyrus and their pupil responses to face stimuli. Overall, these results describe how handedness is related to the lateralization of the core face perception network, and point to different neural mechanisms underlying face processing in right- and left-handers. In a wider context, this demonstrates the entanglement of structurally and functionally remote brain networks, suggesting a broader underlying process regulating brain lateralization.
Crack propagation under the stainless steel cladding of nuclear reactor vessels is monitored by ultrasonic testing. This work study signal processing to improve detection and sizing of defects. Two possibilities are examined: processing of each individual signal and simultaneous processing of all the signals giving a B-SCAN image. The bibliographic study of time-frequency methods shows that they are not suitable for pulses. Then decomposition in instantaneous frequency and envelope is used. Effect of interference of 2 close echoes on instantaneous frequency is studies. The deconvolution of B-SCAN images is obtained by the transducer field. A point-by-point deconvolution method, less noise sensitive, is developed. B-SCAN images are processed in 2 phases: interface signal processing and deconvolution. These calculations improve image accuracy and dynamics. Water-stell interface and ferritic-austenitic interface are separated. Echoes of crack top are visualized and crack-hole differentiation is improved [fr
Sanchez, Christopher A
It has been suggested that pain perception and attention are closely linked at both a neural and a behavioural level. If pain and attention are so linked, it is reasonable to speculate that those who vary in working memory capacity (WMC) should be affected by pain differently. This study compares the performance of individuals who differ in WMC as they perform processing and memory span tasks while under mild pain and not. While processing performance under mild pain does not interact with WMC, the ability to store information for later recall does. This suggests that pain operates much like an additional processing burden, and that the ability to overcome this physical sensation is related to differences in WMC. © 2011 Psychology Press, an imprint of the Taylor & Francis Group, an Informa business
Kannan, C.; Ramanujam, R.
The aim of this research work is to evaluate the mechanical and tribological behaviour of Al 7075 based self-lubricated hybrid nanocomposite under different treated conditions viz. as-cast, T6 and deep cryo treated. In order to overcome the drawbacks associated with conventional stir casting, a combinational approach that consists of molten salt processing, ultrasonic assistance and optimized mechanical stirring is adopted in this study to fabricate the nanocomposite. The mechanical characterisation tests carried out on this nanocomposite reveals an improvement of about 39% in hardness and 22% in ultimate tensile strength possible under T6 condition. Under specific conditions, the wear rate can be reduced to the extent of about 63% through the usage of self-lubricated hybrid nanocomposite under T6 condition.