Journal articles on the topic 'Meta-schema'
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Atzeni, Paolo, Luigi Bellomarini, Paolo Papotti, and Riccardo Torlone. "Meta-mappings for schema mapping reuse." Proceedings of the VLDB Endowment 12, no. 5 (January 2019): 557–69. http://dx.doi.org/10.14778/3303753.3303761.
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Leahy, Robert L. "Emotional Schema Therapy: A Meta-experiential Model." Australian Psychologist 51, no. 2 (March 18, 2016): 82–88. http://dx.doi.org/10.1111/ap.12142.
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Atigui, Faten, Franck Ravat, Jiefu Song, Olivier Teste, and Gilles Zurfluh. "Facilitate Effective Decision-Making by Warehousing Reduced Data." International Journal of Decision Support System Technology 7, no. 3 (July 2015): 36–64. http://dx.doi.org/10.4018/ijdsst.2015070103.
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The authors' aim is to provide a solution for multidimensional data warehouse's reduction based on analysts' needs which will specify aggregated schema applicable over a period of time as well as retain only useful data for decision support. Firstly, they describe a conceptual modeling for multidimensional data warehouse. A multidimensional data warehouse's schema is composed of a set of states. Each state is defined as a star schema composed of one fact and its related dimensions. The derivation between states is carried out through combination of reduction operators. Secondly, they present a meta-model which allows managing different states of multidimensional data warehouse. The definition of reduced and unreduced multidimensional data warehouse schema can be carried out by instantiating the meta-model. Finally, they describe their experimental assessments and discuss their results. Evaluating their solution implies executing different queries in various contexts: unreduced single fact table, unreduced relational star schema, reduced star schema and reduced snowflake schema. The authors show that queries are more efficiently calculated within a reduced star schema.
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Ristic, Sonja, Slavica Aleksic, Milan Celikovic, and Ivan Lukovic. "Generic and standard database constraint meta-models." Computer Science and Information Systems 11, no. 2 (2014): 679–96. http://dx.doi.org/10.2298/csis140216037r.
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Many software engineering activities entail dealing with legacy information systems. When these systems become too costly to maintain, or when new technologies need to be incorporated, they need to be replaced or somehow reengineered. This can be done with significantly reduced amount of effort and cost if the conceptual models of these systems are available. Reverse engineering is the process of analyzing a subject system to create representations of the system at a higher level of abstraction. Relational databases are a common source of reverse engineering. Starting from a physical database schema, that is recorded into relational database schema data repository, the conceptual database schema or logical database schema could be extracted. The extraction process may be seen as a chain of model-to-model transformations that trace model elements from a model at the lower level of abstraction to a model at the higher level of abstraction, achieved through meta-modeling. In the paper we present generic and standard database constraint meta-models, focusing on multi-relational database constraints captured in a legacy database. These meta-models are aimed at support of model transformations to create conceptual models, as a useful source for the system reengineering process.
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JEUSFELD, MANFRED A., and UWE A. JOHNEN. "AN EXECUTABLE META MODEL FOR RE-ENGINEERING OF DATABASE SCHEMAS." International Journal of Cooperative Information Systems 04, no. 02n03 (June 1995): 237–58. http://dx.doi.org/10.1142/s021884309500010x.
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A logical database schema, e.g. a relational one, is the implementation of a specification, e.g. an entity-relationship diagram. Upcoming new data models require a cost-effective method for mapping from one data model to the other. We present an approach where the mapping process is divided into three parts. The first part reformulates the source and target data models into a so-called meta model. The second part classifies the input schema into the meta model, yielding a data model-independent representation. The third part synthesizes the output schema in terms of the target data model. The meta model, the data models as well as the schemas are all represented in the logic-based formalism of O-Telos. Its ability to quantify across data model concepts is the key to classifying schema elements independently of their data model. A prototype has been implemented on top of the deductive object base manager ConceptBase for the mapping of relational schemas to entity-relationship diagrams. From this, a C++-based tool has been derived as part of a commercial CASE environment for database applications.
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Rojahn, Krystyna, and Thomas F. Pettigrew. "Memory for schema-relevant information: A meta-analytic resolution." British Journal of Social Psychology 31, no. 2 (June 1992): 81–109. http://dx.doi.org/10.1111/j.2044-8309.1992.tb00958.x.
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Shulga, Lenna V., and James A. Busser. "Talent management meta review: a validity network schema approach." International Journal of Contemporary Hospitality Management 31, no. 10 (October 14, 2019): 3943–69. http://dx.doi.org/10.1108/ijchm-10-2018-0876.
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Purpose The purpose of this paper is to critically assess the state of substantive, methodological and conceptual development of talent management (TM) within hospitality and business research and to identify gaps, examine debates and provide hospitality research direction. Design/methodology/approach After identifying 545 articles from 22 peer-reviewed journals from Google Scholar using “talent management,” only articles directly related to TM (n = 149) were analyzed using the validity network schema (VNS). The advantage of the VNS approach is in-depth analysis of the three research domains – substantive, methodological, and conceptual – and evaluation of the pathways between domains emerging in a unique hospitality TM perspective. Findings Substantive domain TM discourse analysis identified 12 general and 5 hospitality-related topics. The resulting research framework depicted how global trends, organizational, employee-specific factors and organizational-management tactics affect (1) organizational, (2) personal, (3) societal, and (4) customer outcomes. Methodological domain analysis revealed business TM research in the mature stage, while hospitality TM research is in the embryonic stage of development. TM researchers predominantly used observational, descriptive and industry-specific data, advancing the field with associated research frameworks. Conceptual domain analysis uncovered opportunities to advance theoretical foundations and test causal relationships. Originality/value VNS analysis identified the importance of conceptual, methodological and substantive domains of TM research. The comprehensive TM research framework was proposed with eight research pathways to guide future hospitality studies. This paper advances the unique hospitality industry-specific scholarship and practice, focused on employee well-being rather than solely organizational gain.
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Yu, Shiyang, and Frank Zenker. "Schemes, Critical Questions, and Complete Argument Evaluation." Argumentation 34, no. 4 (March 6, 2020): 469–98. http://dx.doi.org/10.1007/s10503-020-09512-4.
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Abstract According to the argument scheme approach, to evaluate a given scheme-saturating instance completely does entail asking all critical questions (CQs) relevant to it. Although this is a central task for argumentation theorists, the field currently lacks a method for providing a complete argument evaluation. Approaching this task at the meta-level, we combine a logical with a substantive approach to the argument schemes by starting from Toulmin’s schema: ‘data, warrant, so claim’. For the yet more general schema: ‘premise(s); if premise(s), then conclusion; so conclusion’, we forward a meta-level CQ-list that is arguably both complete and applicable. This list should inform ongoing theoretical efforts at generating appropriate object-level CQs for specific argument schemes.
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韦, 海浪. "Web Entity Resolution Algorithm Based on Schema-Aware Meta-Blocking Technology." Hans Journal of Data Mining 10, no. 01 (2020): 16–29. http://dx.doi.org/10.12677/hjdm.2020.101002.
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Cao, Xiaohuan, Yuyan Zheng, Chuan Shi, Jingzhi Li, and Bin Wu. "Meta-path-based link prediction in schema-rich heterogeneous information network." International Journal of Data Science and Analytics 3, no. 4 (February 17, 2017): 285–96. http://dx.doi.org/10.1007/s41060-017-0046-1.
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Peltier, Corey J., Kimberly J. Vannest, and Josh J. Marbach. "A Meta-Analysis of Schema Instruction Implemented in Single-Case Experimental Designs." Journal of Special Education 52, no. 2 (March 13, 2018): 89–100. http://dx.doi.org/10.1177/0022466918763173.
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Identifying mathematical interventions that practitioners can implement to improve the mathematical problem solving (PS) of students is a need for the field. Literature on the PS performance of students with disabilities has grown; recently, schema instruction (SI) has been suggested as an evidence-based practice. The purpose of this study was to meta-analyze single-case experimental designs (SCEDs) that implemented SI with students identified with disabilities. A total of 16 studies, with 61 students identified with disabilities met the inclusion criteria. Tau U was used to report intervention effects; this decision was made because it is more robust than other nonoverlap methods and is frequently reported in published meta-analyses of SCEDs. Moderator analyses included grade of participants, use of technology, disability category, and the type of problems taught. The weighted aggregated Tau U was 88.29% (90% confidence interval [CI] = [80.5%, 96.1%]). Moderator analysis and implications for practice are discussed.
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Chen, Lei, Hong Fei Zhan, Jun He Yu, Zhong Ren Jiang, and Chen Jian Lei. "Research on the Business Process Modeling Based on Domain-Specific Modeling Meta-Model Driven." Applied Mechanics and Materials 101-102 (September 2011): 860–63. http://dx.doi.org/10.4028/www.scientific.net/amm.101-102.860.
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To decrease the difficulty of business process modeling, the domain-specific modeling (DSM) method and the frame of model driven architecture (MDA) were discussed in this paper. By applying DSM and MDA, the meta-model consisting of domain schema and domain template was established to simplify the business process. Then the character property, relationship property and operation of business-process-oriented DSM (BP-DSM) meta-model were described. The meta-model and application template would be consummated by continuous instantiation and abstraction of the domain concepts. By extracting and accumulating a large number of enterprises' templates within the same industry, the industry-oriented model template would be ultimately established.
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Reis, Diane Aparecida, André Leme Fleury, and Marly Monteiro Carvalho. "Consolidating core entrepreneurial competences: toward a meta-competence framework." International Journal of Entrepreneurial Behavior & Research 27, no. 1 (December 8, 2020): 179–204. http://dx.doi.org/10.1108/ijebr-02-2020-0079.
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PurposeEmerging digital ventures and related breakthrough innovations result in new challenges for the development of entrepreneurial competences and demand new perspectives for entrepreneurship research. In this context, policy-makers and organizations are increasingly interested in fostering entrepreneurial competences to improve the success of policies and venture capital investments. This paper aims at identifying the core relevant entrepreneurial competences, mapping the current literature and the main clusters and going beyond toward a meta-competence framework.Design/methodology/approachThe research approach is a literature review, combining bibliometric, network and content analysis. The sampling process was conducted in the Scopus and Web of Science databases. The bibliometrics and content analysis were performed with a computer aid approach applying VosViewer1.6, Ucinet and NetDraw 2.139. The content analysis approach was performed considering a detailed coding schema developed. Finally, toward the meta-competences framework, the study applied quantitative analysis on the coding schema, particularly cross-tabulation, core-periphery and network analysis.FindingsThe results show the state of the art concerning entrepreneurial competences. The research identified a list of 98 entrepreneurial competences. Finally, the study proposes a meta-competence framework and clusters the 33 core entrepreneurial competences previously identified.Originality/valueThe proposed conceptual framework exploring meta-entrepreneurial competences offers an original contribution with implications for theory and practice. The research contributes to broadening the understanding of the entrepreneurial competences, helping on the creation, design, development and improvement of entrepreneurship educational initiatives, which are important to entrepreneurs' educators. The proposed framework contributes by providing relevant knowledge for the policy-makers' strategy formulation processes. As implications for the practice, the proposed framework can allow better assessment process for incubators and accelerators, besides more robust ventures considering learning trails based on meta-competences frameworks.
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Beak, Jihee, and Hope A. Olson. "Analysis of metadata schemas for children's libraries." NASKO 3, no. 1 (November 2, 2011): 1. http://dx.doi.org/10.7152/nasko.v3i1.12785.
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The purpose of this study is to evaluate two metadata schemas, AACR2+ and the International Children’s Digital Library’s metadata schema, in light of children’s information seeking behavior for book selection. While previous studies focus on the development of child-friendly interfaces, few of these studies discuss a metadata schema for children’s libraries. Given that effective information retrieval is based on well-constructed information organization, this study’s significance is its greater emphasis on information organization as a relevant factor than in previous studies. The methodology for this study consists of three parts: a meta-analysis of relevant research on children’s information seeking behaviors for book choices, a crosswalk of the metadata schemas, and a comparison of two data sets from the previous stages. The study finds that ICDL’s metadata schema tends to better reflect children’s unique information seeking behaviors for book choices as independent metadata elements than standard library cataloging does. Standard library cataloging tends to describe information reflecting children’s unique information seeking behaviors in a note area rather than describing in independent metadata elements. Therefore, by having independent and relevant metadata elements regarding the unique characteristics of children’s book choices, ICDL’s metadata schema provides more access points in a browse search system.
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Ross, John A. "Controlling Variables: A Meta-Analysis of Training Studies." Review of Educational Research 58, no. 4 (December 1988): 405–37. http://dx.doi.org/10.3102/00346543058004405.
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Meta-analysis techniques were used to synthesize research on teaching students how to control variables (CV). Sixty-five controlled studies were included in the review. The mean effect size on posttest scores was .73. The main findings, not all of which were based on statistically significant differences in effect sizes, were: (a) Outcome measures that were demanding in task complexity, that focused on the specific elements of the CV schema, and that required performance across a range of context domains were more likely to reveal treatment impacts; (b) The effectiveness of treatments was enhanced by using motivational strategies based on cognitive conflict and appeals to student interest; (c) Strategies for introducing new learning were more effective if students were provided with explicit rules describing how to control variables; (d) Consolidation strategies had a greater impact when explicit attention was given to the elements of the CV schema in practice tasks and in feedback procedures; (e) Treatment impact increased with the range of contexts in which CV practice was provided. The results of the training studies are of high potential rather than actual use to teachers. Nonuse of the findings is attributed to an over reliance upon inadequate textbooks.
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Thi Ngoc Chau, Vo, and Suphamit Chittayasothorn. "A conceptual schema-based temporal meta database schemas generation technique for 3D objects." Knowledge and Information Systems 24, no. 1 (July 21, 2009): 113–47. http://dx.doi.org/10.1007/s10115-009-0235-x.
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Hřivnáč, Julius. "Using Graph Databases." EPJ Web of Conferences 245 (2020): 04004. http://dx.doi.org/10.1051/epjconf/202024504004.
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Data in High Energy Physics (HEP) usually consist of complext complex data structures stored in relational databases and files with internal schema. Such architecture exhibits many shortcomings, which could be fixed by migrating into Graph Database storage. The paper describes basic principles of the Graph Database together with an overview of existing standards and implementations. The usefulness and usability are demonstrated using the concrete example of the Event Index of the ATLAS experiment at LHC in two approaches as the full storage (all data are in the Graph Database) and meta-storage (a layer of schema-less graph-like data implemented on top of more traditional storage). The usability, the interfaces with the surrounding framework and the performance of those solutions are discussed. The possible more general usefulness for generic experiments’ storage is also discussed.
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DE KONINCK, LESLIE. "Logical Algorithms meets CHR: A meta-complexity result for Constraint Handling Rules with rule priorities." Theory and Practice of Logic Programming 9, no. 02 (February 10, 2009): 165–212. http://dx.doi.org/10.1017/s1471068409003664.
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AbstractThis paper investigates the relationship between the Logical Algorithms (LA) language of Ganzinger and McAllester and Constraint Handling Rules (CHR). We present a translation schema from LA to CHRrp: CHR with rule priorities, and show that the meta-complexity theorem for LA can be applied to a subset of CHRrpvia inverse translation. Inspired by the high-level implementation proposal for Logical Algorithm by Ganzinger and McAllester and based on a new scheduling algorithm, we propose an alternative implementation for CHRrpthat gives strong complexity guarantees and results in a new and accurate meta-complexity theorem for CHRrp. It is furthermore shown that the translation from Logical Algorithms to CHRrpcombined with the new CHRrpimplementation satisfies the required complexity for the Logical Algorithms meta-complexity result to hold.
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Hertlein, Katherine M., and Gerald R. Weeks. "The Logical and Clinical Argument for the Concept of Meta-Schema in Cognitive Therapy." Journal of Family Psychotherapy 28, no. 1 (January 2, 2017): 4–22. http://dx.doi.org/10.1080/08975353.2017.1283150.
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Goldstein, Robert B., Cheryl Caswell, Brian Schuth, and Foss Tighe. "Database schema for representation of data and meta-data for a survey software system." Controlled Clinical Trials 19, no. 3 (June 1998): S82. http://dx.doi.org/10.1016/s0197-2456(98)80196-7.
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Attig, John, Ann Copeland, and Michael Pelikan. "Context and Meaning: The Challenges of Metadata for a Digital Image Library within the University." College & Research Libraries 65, no. 3 (May 1, 2004): 251–61. http://dx.doi.org/10.5860/crl.65.3.251.
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To be successful in the university environment, a digital library must be able to integrate content from faculty and students, as well as traditional library sources. It must have a robust metadata structure that can accommodate and preserve a variety of discipline-specific metadata while supporting consistent access across collections. As part of the Mellon-funded project, the Visual Image User Study at Penn State, a prototype centralized digital image delivery service was created and explored. In creating a metadata schema for the project, the authors anticipated both a wide variety of content and users across many disciplines. This schema employed three very different standards (VRA Core Categories, Dublin Core, IMS Learning Objects Meta-data).The project validated the need for highly individualized content, the importance of individual faculty collections, the need for editorial intervention to supplement and modify contributed metadata, and the importance of addressing discipline-specific vocabularies and taxonomies.
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Peltier, Corey, and Kimberly J. Vannest. "A Meta-Analysis of Schema Instruction on the Problem-Solving Performance of Elementary School Students." Review of Educational Research 87, no. 5 (July 14, 2017): 899–920. http://dx.doi.org/10.3102/0034654317720163.
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Wan, Guojia, Bo Du, Shirui Pan, and Gholameza Haffari. "Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6094–101. http://dx.doi.org/10.1609/aaai.v34i04.6073.
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Meta-paths are important tools for a wide variety of data mining and network analysis tasks in Heterogeneous Information Networks (HINs), due to their flexibility and interpretability to capture the complex semantic relation among objects. To date, most HIN analysis still relies on hand-crafting meta-paths, which requires rich domain knowledge that is extremely difficult to obtain in complex, large-scale, and schema-rich HINs. In this work, we present a novel framework, Meta-path Discovery with Reinforcement Learning (MPDRL), to identify informative meta-paths from complex and large-scale HINs. To capture different semantic information between objects, we propose a novel multi-hop reasoning strategy in a reinforcement learning framework which aims to infer the next promising relation that links a source entity to a target entity. To improve the efficiency, moreover, we develop a type context representation embedded approach to scale the RL framework to handle million-scale HINs. As multi-hop reasoning generates rich meta-paths with various length, we further perform a meta-path induction step to summarize the important meta-paths using Lowest Common Ancestor principle. Experimental results on two large-scale HINs, Yago and NELL, validate our approach and demonstrate that our algorithm not only achieves superior performance in the link prediction task, but also identifies useful meta-paths that would have been ignored by human experts.
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Rolan, Gregory. "Towards interoperable recordkeeping systems." Records Management Journal 27, no. 2 (July 17, 2017): 125–48. http://dx.doi.org/10.1108/rmj-09-2016-0027.
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Purpose The purpose of this paper is to introduce an infrastructural approach to metadata modelling and a generalised meta-model for recordkeeping metadata. This meta-model is an attempt to support interoperability between disparate systems, and particularly, between sets of ostensibly incommensurate record documentation. Design/methodology/approach The investigation used a reflective design-science investigation comprising interviews adaptive literature review, creation of conceptual models and the design and instantiation of a proof-of-concept system. Findings The investigation confirms that recordkeeping interoperability between disparate ontologies is achievable through a meta-model approach. In particular, the meta-model carefully defines relationships between entities with specific semantics that enable the development of interoperable domain schemas. Practical implications A meta-model for recordkeeping metadata facilitates the development of recordkeeping systems that possess interoperability-by-design. Social implications Recordkeeping systems that conform to the meta-model can, therefore, transcend the immediate transactional context and support participatory recordkeeping in terms of a plurality of stakeholder world views and agency in records. Originality/value This paper is one of the few reporting design-science approaches to recordkeeping informatics and one that has used a meta-model approach for recordkeeping metadata design. In contrast to most empirically determined metadata schemas, the top-down design approach has produced a schema from a wide variety of ontological sources.
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Peng, Hao, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, and Lifang He. "Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks." ACM Transactions on Knowledge Discovery from Data 15, no. 5 (June 26, 2021): 1–33. http://dx.doi.org/10.1145/3447585.
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Events are happening in real world and real time, which can be planned and organized for occasions, such as social gatherings, festival celebrations, influential meetings, or sports activities. Social media platforms generate a lot of real-time text information regarding public events with different topics. However, mining social events is challenging because events typically exhibit heterogeneous texture and metadata are often ambiguous. In this article, we first design a novel event-based meta-schema to characterize the semantic relatedness of social events and then build an event-based heterogeneous information network (HIN) integrating information from external knowledge base. Second, we propose a novel Pairwise Popularity Graph Convolutional Network, named as PP-GCN, based on weighted meta-path instance similarity and textual semantic representation as inputs, to perform fine-grained social event categorization and learn the optimal weights of meta-paths in different tasks. Third, we propose a streaming social event detection and evolution discovery framework for HINs based on meta-path similarity search, historical information about meta-paths, and heterogeneous DBSCAN clustering method. Comprehensive experiments on real-world streaming social text data are conducted to compare various social event detection and evolution discovery algorithms. Experimental results demonstrate that our proposed framework outperforms other alternative social event detection and evolution discovery techniques.
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Mohammadi, Pegah, Saeed Fathi, and Ali Kazemi. "Differentiation and financial performance: a meta-analysis." Competitiveness Review: An International Business Journal 29, no. 5 (October 21, 2019): 573–91. http://dx.doi.org/10.1108/cr-10-2018-0067.
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Purpose The purpose of this study is to meta-analytically compare the effect of differentiation strategy formulation on financial and non-financial performance to explore the agency problem. Design/methodology/approach This study was conducted using a meta-analysis approach and CMA2 software. Hypotheses has been tested using cumulative effect sizes. Then, the cumulative effect sizes if some subsamples are also tested for robustness check by manipulation of circumstances. Findings Based on the findings, differentiation affects performance dimensions. However, spite of shareholders’ wealth maximization, differentiation has a smaller effect on financial performance (as the proxy of shareholders’ wealth) compared with operational performance. Meanwhile, the robustness test showed that the results in all subcategories has also confirmed, and this supports the results. Research limitations/implications The results catch attentions of shareholders to review the elements of management evaluation in the corporate governance system in a way that they focus more on stakeholders’ interests in developing differentiation strategy. Limitations of this study is firstly based on limitations of meta-analysis approach, which provide general results of relevant studies so that the local conditions of each firm should be considered in deploying implications. Originality/value Exploring the overall schema of firms (from past to present and in different research conditions) regarding the impact of differentiation strategy on performance has been the originality of this research because of potentials of meta-analysis against past field studies. This originality led to the discovery of the general confusion of firms in the development of differentiation strategy so that it emphasizes operational performance more than financial performance.
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Azzaoui, Amine, Ouzayr Rabhi, and Ayyoub Mani. "A Model Driven Architecture Approach to Generate Multidimensional Schemas of Data Warehouses." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 12 (August 23, 2019): 18. http://dx.doi.org/10.3991/ijoe.v15i12.10720.
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Over the past decade, the concept of data warehousing has been widely accepted. The main reason for building data warehouses is to improve the quality of information in order to achieve specific business objectives such as competitive advantage or improved decision-making. However, there is no formal method for deriving a multidimensional schema from heterogeneous databases that is recognized as a standard by the OMG and the professionals of the field. Which is why, in this paper, we present a model-driven approach (MDA) for the design of data warehouses. To apply the MDA approach to the Data warehouse construction process, we describe a multidimensional meta-model and specify a set of transformations from a UML meta-model which is mapped to a multidimensional meta-model. The transformation rules are programmed by the Query View Transformation (QVT) language. A case study illustrates our approach. It demonstrates how it reinforces the components traceability and reusability and how it globally improves the modeler’s efficiency. Furthermore, the use of the UML, as a technique to build data warehouses, is an important facilitator which prepares our further work to automate this approach.
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S, Aita, Demming C, Knapp D, and Hill B. "A-012 Meta-Analysis of Neuropsychological Intra-Individual Variability in Dementia and Mild-Cognitive Impairment." Archives of Clinical Neuropsychology 35, no. 6 (August 28, 2020): 802. http://dx.doi.org/10.1093/arclin/acaa068.012.
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Abstract Objective Neuropsychological intra-individual variability (IIV) refers to within-person cognitive fluctuation. It is often measured within-task (i.e., consistency) and across-tasks (i.e., dispersion). This investigation meta-analyzed studies comparing cognitive IIV of dementia and mild cognitive impairment (MCI) participants to normal controls. Method Eight databases within the EBSCO network as well as ProQuest Dissertations & Theses were searched for original research comparing cognitive IIV between clinical and control samples. Studies were coded using a complex multi-comparison, outcome, and subgroup schema. All data were analyzed under random-effects modeling using Comprehensive Meta-Analysis. Main index of effect size was Hege’s g. The Q and I2 statistics were used to formally assess heterogeneity. Continuous and categorical moderator variables were tested using meta-regression and subgroup analysis, respectively. Results This study was a part of a broader meta-analysis looking at IIV across all clinical samples. The initial search strategy yielded 2,962 results, which were reduced to 87 studies for final inclusion. From which, the current meta-analysis included 28 consistency studies (dementia: k = 13, 88 effect sizes; MCI: k = 15, 110 effect sizes) and 16 dispersion studies (dementia: k = 10, 36 effect sizes; MCI: k = 6, 14 effect sizes). Meta-analysis revealed a greater combined effect size for dementia samples (consistency: g = 0.92; dispersion: g = 1.11) than MCI (consistency: g = 0.33; dispersion: g = 0.56). Significant between-study heterogeneity was noted across analyses. Age and education were the only notable moderators. Conclusions All clinical subgroups demonstrated significantly elevated IIV compared to controls. The extent of IIV was proportionate to neurologic burden. Dispersion-based IIV may be a more sensitive marker of neural integrity than consistency.
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Jaramillo, Iván Fredy, Javier Garzás, and Andrés Redchuk. "Numerical Association Rule Mining from a Defined Schema Using the VMO Algorithm." Applied Sciences 11, no. 13 (July 2, 2021): 6154. http://dx.doi.org/10.3390/app11136154.
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Association rule mining has been studied from various perspectives, all of which have made valuable contributions to data science. However, there are promising research lines, such as the inclusion of continuous variables and the combination of numerical and categorical attributes for a supervised classification variety. This research presents a new alternative for solving the numerical association rule-mining problem from an optimization perspective by using the VMO (Variable Mesh Optimization) meta-heuristic. This work includes the ability for classification when categorical data are available from a defined rule schema. Our technique implements an optimization process for the intervals of continuous variables, unlike others that discretize these types of variables. Some experiments were carried out with a real dataset to evaluate the quality of the rules obtained; in addition to this, this technique was compared with four population-based algorithms. The results show that this implementation is competitive in classification cases and has more satisfactory results for completely numerical data.
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Guan, Z., J. Sun, Z. Wang, Y. Geng, and W. Xu. "Development of an Open Metadata Schema for Prospective Clinical Research (openPCR) in China." Methods of Information in Medicine 53, no. 01 (2014): 39–46. http://dx.doi.org/10.3414/me13-01-0008.
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SummaryObjectives: In China, deployment of electronic data capture (EDC) and clinical data management system (CDMS) for clinical research (CR) is in its very early stage, and about 90% of clinical studies collected and submitted clinical data manually. This work aims to build an open metadata schema for Prospective Clinical Research (openPCR) in China based on openEHR archetypes, in order to help Chinese researchers easily create specific data entry templates for registration, study design and clinical data collection.Methods: Singapore Framework for Dublin Core Application Profiles (DCAP) is used to develop openPCR and four steps such as defining the core functional requirements and deducing the core metadata items, developing archetype models, defining metadata terms and creating archetype records, and finally developing implementation syntax are followed.Results: The core functional requirements are divided into three categories: requirements for research registration, requirements for trial design, and requirements for case report form (CRF). 74 metadata items are identified and their Chinese authority names are created. The minimum metadata set of openPCR includes 3 documents, 6 sections, 26 top level data groups, 32 lower data groups and 74 data elements. The top level container in openPCR is composed of public document, internal document and clinical document archetypes. A hierarchical structure of openPCR is established according to Data Structure of Electronic Health Record Architecture and Data Stand -ard of China (Chinese EHR Standard). Meta-data attributes are grouped into six parts: identification, definition, representation, relation, usage guides, and administration.Discussions and Conclusion: OpenPCR is an open metadata schema based on research registration standards, standards of the Clinical Data Interchange Standards Consortium (CDISC) and Chinese healthcare related stand -ards, and is to be publicly available throughout China. It considers future integration of EHR and CR by adopting data structure and data terms in Chinese EHR Standard. Archetypes in openPCR are modularity models and can be separated, recombined, and reused. The authors recommend that the method to develop openPCR can be referenced by other countries when designing metadata schema of clinical research. In the next steps, openPCR should be used in a number of CR projects to test its applicability and to continuously improve its coverage. Besides, metadata schema for research protocol can be developed to structurize and standardize protocol, and syntactical interoperability of openPCR with other related standards can be considered.
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Krumbholz, M., J. Galliers, N. Coulianos, and N. A. M. Maiden. "Implementing Enterprise Resource Planning Packages in Different Corporate and National Cultures." Journal of Information Technology 15, no. 4 (December 2000): 267–79. http://dx.doi.org/10.1177/026839620001500403.
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ERP (enterprise resource planning) packages provide generic off-the-shelf business and software solutions for customers. However, these packages are implemented in companies with different corporate and national cultures and there is growing evidence that failure to adapt ERP packages to fit these cultures leads to projects which are expensive and overdue. This paper describes research which synthesizes social science theories of culture in order to be able to model and predict the impact of culture on ERP package implementation. It describes a knowledge meta-schema for modelling the surface and deeper manifestations of culture and predictions of ERP implementation problems based on national culture differences. It reports on an empirical study into the implementation of ERP packages in a large pharmaceuticals organization in Scandinavia and the UK. The results provide evidence for an association between corporate culture and ERP implementation problems but no direct evidence for an association between national culture and implementation problems. Furthermore, the results demonstrate that these diverse implementation problems can be caused by a mismatch between a small set of core values which are indicative of a customer's corporate culture. The paper concludes with revisions to the design of our extended method for ERP package implementation to the design of the meta-model and to rules that codify culture constraints that are applied in order to analyse instances of the meta-model.
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Dixon, Mark B. "A Graphical Based Approach to the Conceptual Modeling, Validation and Generation of XML Schema Definitions." International Journal of Information Technology and Web Engineering 8, no. 1 (January 2013): 1–22. http://dx.doi.org/10.4018/jitwe.2013010101.
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This paper discusses the research and development of a modeling tool that provides a graphical approach to the definition, validation and generation of XML schemas. Although XML has had a ubiquitous web presence for a number of years the strength of its underlying validation framework is often not leveraged to its maximum potential. Additionally the design process followed when developing XML data formats is often rather ad-hoc and driven by technical requirements of the application rather than a conceptual level analysis of the problem domain. This work contributes to research knowledge by proposing and validating a mechanism for allowing non-programmers to easily visualise and design the rules to which XML documents should comply. The use of an underlying meta-case platform provides a unique opportunity to allow highly customisable support and automatic code generation for any number of schema definition languages, thus providing a test-bed for future research activities.
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Latif, Sajid, Syed Mushhad Gilani, Rana Liaqat Ali, Misbah Liaqat, and Kwang-Man Ko. "Distributed Meta-Brokering P2P Overlay for Scheduling in Cloud Federation." Electronics 8, no. 8 (July 31, 2019): 852. http://dx.doi.org/10.3390/electronics8080852.
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The interconnected cloud (Intercloud) federation is an emerging paradigm that revolutionizes the scalable service provision of geographically distributed resources. Large-scale distributed resources require well-coordinated and automated frameworks to facilitate service provision in a seamless and systematic manner. Unquestionably, standalone service providers must communicate and federate their cloud sites with other vendors to enable the infinite pooling of resources. The pooling of these resources provides uninterpretable services to increasingly growing cloud users more efficiently, and ensures an improved Service Level Agreement (SLA). However, the research of Intercloud resource management is in its infancy. Therefore, standard interfaces, protocols, and uniform architectural components need to be developed for seamless interaction among federated clouds. In this study, we propose a distributed meta-brokering-enabled scheduling framework for provision of user application services in the federated cloud environment. Modularized architecture of the proposed system with uniform configuration in participating resource sites orchestrate the critical operations of resource management effectively, and form the federation schema. Overlaid meta-brokering instances are implemented on the top of local resource brokers to keep the global functionality isolated. These instances in overlay topology communicate in a P2P manner to maintain decentralization, high scalability, and load manageability. The proposed framework has been implemented and evaluated by extending the Java-based CloudSim 3.0.3 simulation application programming interfaces (APIs). The presented results validate the proposed model and its efficiency to facilitate user application execution with the desired QoS parameters.
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El-ghafar, Randa Mohamed Abd, Ali H. El-Bastawissy, Eman S. Nasr, and Mervat H. Gheith. "An Effective Entity Resolution Approach for Big Data." International Journal of Innovative Technology and Exploring Engineering 10, no. 11 (September 30, 2021): 100–112. http://dx.doi.org/10.35940/ijitee.k9503.09101121.
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Entity Resolution (ER) is defined as the process 0f identifying records/ objects that correspond to real-world objects/ entities. To define a good ER approach, the schema of the data should be well-known. In addition, schema alignment of multiple datasets is not an easy task and may require either domain expert or ML algorithm to select which attributes to match. Schema agnostic meta-blocking tries to solve such a problem by considering each token as a blocking key regardless of the attributes it appears in. It may also be coupled with meta-blocking to reduce the number of false negatives. However, it requires the exact match of tokens which is very hard to occur in the actual datasets and it results in very low precision. To overcome such issues, we propose a novel and efficient ER approach for big data implemented in Apache Spark. The proposed approach is employed to avoid schema alignment as it treats the attributes as a bag of words and generates a set of n-grams which is transformed to vectors. The generated vectors are compared using a chosen similarity measure. The proposed approach is a generic one as it can accept all types of datasets. It consists of five consecutive sub-modules: 1) Dataset acquisition, 2) Dataset pre-processing, 3) Setting selection criteria, where all settings of the proposed approach are selected such as the used blocking key, the significant attributes, NLP techniques, ER threshold, and the used scenario of ER, 4) ER pipeline construction, and 5) Clustering where the similar records are grouped into the similar cluster. The ER pipeline could accept two types of attributes; the Weighted Attributes (WA) or the Compound Attributes (CA). In addition, it accepts all the settings selected in the fourth module. The pipeline consists of five phases. Phase 1) Generating the tokens composing the attributes. Phase 2) Generating n-grams of length n. Phase 3) Applying the hashing Text Frequency (TF) to convert each n-grams to a fixed-length feature vector. Phase 4) Applying Locality Sensitive Hashing (LSH), which maps similar input items to the same buckets with a higher probability than dissimilar input items. Phase 5) Classification of the objects to duplicates or not according to the calculated similarity between them. We introduced seven different scenarios as an input to the ER pipeline. To minimize the number of comparisons, we proposed the length filter which greatly contributes to improving the effectiveness of the proposed approach as it achieves the highest F-measure between the existing computational resources and scales well with the available working nodes. Three results have been revealed: 1) Using the CA in the different scenarios achieves better results than the single WA in terms of efficiency and effectiveness. 2) Scenario 3 and 4 Achieve the best performance time because using Soundex and Stemming contribute to reducing the performance time of the proposed approach. 3) Scenario 7 achieves the highest F-measure because by utilizing the length filter, we only compare records that are nearly within a pre-determined percentage of increase or decrease of string length. LSH is used to map the same inputs items to the buckets with a higher probability than dis-similar ones. It takes numHashTables as a parameter. Increasing the number of candidate pairs with the same numHashTables will reduce the accuracy of the model. Utilizing the length filter helps to minimize the number of candidates which in turn increases the accuracy of the approach.
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Rhodes, Ryan E., Navin Kaushal, and Alison Quinlan. "Is physical activity a part of who I am? A review and meta-analysis of identity, schema and physical activity." Health Psychology Review 10, no. 2 (March 2, 2016): 204–25. http://dx.doi.org/10.1080/17437199.2016.1143334.
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Pham, Phu, and Phuc Do. "Topic-driven top-k similarity search by applying constrained meta-path based in content-based schema-enriched heterogeneous information network." International Journal of Business Intelligence and Data Mining 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijbidm.2019.10012558.
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Pham, Phu, and Phuc Do. "Topic-driven top-k similarity search by applying constrained meta-path based in content-based schema-enriched heterogeneous information network." International Journal of Business Intelligence and Data Mining 17, no. 3 (2020): 349. http://dx.doi.org/10.1504/ijbidm.2020.109295.
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Eckes, Annemarie H., Tomasz Gubała, Piotr Nowakowski, Tomasz Szymczyszyn, Rachel Wells, Judith A. Irwin, Carlos Horro, et al. "Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data." F1000Research 6 (November 15, 2017): 465. http://dx.doi.org/10.12688/f1000research.11301.2.
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The Brassica Information Portal (BIP) is a centralised repository for brassica phenotypic data. The site hosts trait data associated with brassica research and breeding experiments conducted on brassica crops, that are used as oilseeds, vegetables, livestock forage and fodder and for biofuels. A key feature is the explicit management of meta-data describing the provenance and relationships between experimental plant materials, as well as trial design and trait descriptors. BIP is an open access and open source project, built on the schema of CropStoreDB, and as such can provide trait data management strategies for any crop data. A new user interface and programmatic submission/retrieval system helps to simplify data access for researchers, breeders and other end-users. BIP opens up the opportunity to apply integrative, cross-project analyses to data generated by the Brassica Research Community. Here, we present a short description of the current status of the repository.
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Sułek, Antoni. "Ordinary Poles Look at the Jews." East European Politics and Societies: and Cultures 26, no. 2 (August 3, 2011): 425–44. http://dx.doi.org/10.1177/0888325411415402.
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This article constitutes a meta-analysis of sociological surveys conducted between 1967 and 2010 on the attitudes of Poles towards Jews. This analysis covers factual knowledge about Jews, like/dislike feelings, social distance, cognitive schema, and views regarding Polish–Jewish history. The results reflect a general nonacceptance of strangers as well as a specific type of anti-Semitism with strong roots in and encompassing a broad spectrum of Polish society. In this respect, Poland and some of the other Central Eastern European countries are much alike and distinguish themselves negatively in comparison to Western Europe. Nevertheless, in the last decade a positive shift in Polish attitudes towards Jews has been manifesting itself: feelings of closeness are increasing while disapproving cognitive schemes are decreasing. Further changes depend upon the reconstruction of Polish national identity as well as on the public debates delving into Polish–Jewish relations past and present.
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Kanavos, Andreas, Maria Trigka, Elias Dritsas, Gerasimos Vonitsanos, and Phivos Mylonas. "A Regularization-Based Big Data Framework for Winter Precipitation Forecasting on Streaming Data." Electronics 10, no. 16 (August 4, 2021): 1872. http://dx.doi.org/10.3390/electronics10161872.
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In the current paper, we propose a machine learning forecasting model for the accurate prediction of qualitative weather information on winter precipitation types, utilized in Apache Spark Streaming distributed framework. The proposed model receives storage and processes data in real-time, in order to extract useful knowledge from different sensors related to weather data. In following, the numerical weather prediction model aims at forecasting the weather type given three precipitation classes namely rain, freezing rain, and snow as recorded in the Automated Surface Observing System (ASOS) network. For depicting the effectiveness of our proposed schema, a regularization technique for feature selection so as to avoid overfitting is implemented. Several classification models covering three different categorization methods namely the Bayesian, decision trees, and meta/ensemble methods, have been investigated in a real dataset. The experimental analysis illustrates that the utilization of the regularization technique could offer a significant boost in forecasting performance.
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Charidimou, Andreas, Gregoire Boulouis, Sara Shams, David Calvet, and Ashkan Shoamanesh. "Intracerebral haemorrhage risk in microbleed-positive ischaemic stroke patients with atrial fibrillation: Preliminary meta-analysis of cohorts and anticoagulation decision schema." Journal of the Neurological Sciences 378 (July 2017): 102–9. http://dx.doi.org/10.1016/j.jns.2017.04.042.
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Zlatev, Zlatko, Galina Veres, and Zoheir Sabeur. "Agile Data Fusion and Knowledge Base Architecture for Critical Decision Support." International Journal of Decision Support System Technology 5, no. 2 (April 2013): 1–20. http://dx.doi.org/10.4018/jdsst.2013040101.
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This paper describes the architecture and deployment of a software platform for information fusion, knowledge hosting and critical decision support. The work has been carried out under the TRIDEC project (www.tridec-online.eu), focusing on geo-information fusion and collaborative decision making. Four technologies underpin the architecture: 1) A message oriented middleware, for distributed communications; 2) A leveraged hybrid storage solution, for efficient storage of heterogeneous datasets and semantic knowledge; 3) A generic data fusion container, for dynamic algorithms control; and 4) A single conceptual model and schema, as systems’ semantic meta-model. Deployment for industrial drilling operations is described. Agility is manifested with the ability to integrate data sources from a proprietary domain, dynamically discover new datasets and configure and task fusion algorithms to operate on them, aided by efficient information storage. The platform empowers decision support by enabling dynamic discovery of information and control of the fusion process across geo-distributed locations.
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Oud, Matthijs, Arnoud Arntz, Marleen LM Hermens, Rogier Verhoef, and Tim Kendall. "Specialized psychotherapies for adults with borderline personality disorder: A systematic review and meta-analysis." Australian & New Zealand Journal of Psychiatry 52, no. 10 (August 9, 2018): 949–61. http://dx.doi.org/10.1177/0004867418791257.
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Objective: Borderline personality disorder affects up to 2% of the population and is associated with poor functioning, low quality of life and increased mortality. Psychotherapy is the treatment of choice, but it is unclear whether specialized psychotherapies (dialectical behavior therapy, mentalization-based treatment, transference-focused therapy and schema therapy) are more effective than non-specialized approaches (e.g. protocolized psychological treatment, general psychiatric management). The aim of this systematic review is to investigate the effectiveness of these psychotherapies. Methods: PubMed, PsycINFO, CINAHL, EMBASE and CENTRAL were searched from inception to November 2017. Included randomized controlled trials were assessed on risk of bias and outcomes were meta-analyzed. Confidence in the results was assessed using the Grading of Recommendations Assessment, Development and Evaluation method. The review has been reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results: A total of 20 studies with 1375 participants were included. Specialized psychotherapies, when compared to treatment as usual or community treatment by experts, were associated with a medium effect based on moderate quality evidence on overall borderline personality disorder severity (standardized mean difference = –0.59 [95% confidence interval: –0.90, –0.28]), and dialectical behavior therapy, when compared to treatment as usual, with a small to medium effect on self-injury (standardized mean difference = –0.40 [95% confidence interval: –0.66, –0.13]). Other effect estimates were often inconclusive, mostly due to imprecision. Conclusion: There is moderate quality evidence that specialized psychotherapies are effective in reducing overall borderline personality disorder severity. However, further research should identify which patient groups profit most of the specialized therapies.
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Sanya, Tom. "Freshwater: Towards a Better Understanding of a Wicked Problem." International Journal of Environmental Science & Sustainable Development 5, no. 2 (December 30, 2020): 48. http://dx.doi.org/10.21625/essd.v5i2.759.
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Water begets intricate and profound linkages between multiple systems. Quantitative limits to freshwater availability for human needs, variabilities in the water cycle and environmental water requirements interact with water source pollution. The arising tensions are a great challenge of immense contemporary significance that can best be described as a wicked problem – a problem with multiple dimensions that presents unexpected consequences when engaged. Water challenges make vivid the compromises that must be made between the environment and development. These compromises surface in the conflict between ecocentric and technocentric discourse. Globally, there is evidence of numerous disciplinary and interdisciplinary water-related studies both in the past and ongoing. But there is no meta-mapping of various dimensions of such research to give a clear overview of what has been and what needs to be done. Consequences of this oversight may include unnecessary duplication of research, difficulty in articulating knowledge gaps and inability to see beyond disciplinary boundaries. The author suggests an outline of how these difficulties can be engaged. This is done through a wide-ranging literature review to identify a range of issues of focus, which issues are then themed into imperatives for water research. These imperatives are subsequently systematised using four normative descriptors: problem, drivers and mitigation measures. In combination, these descriptors articulate a spectrum of the key issues around water research. The key issues are mapped onto various academic disciplines and societal partners to outline a schema for positioning of water research. The proposed mapping can facilitate interdisciplinary and transdisciplinary (IDTD) research by allowing researchers to benefit from relevant existing bodies of knowledge while also making explicit knowledge gaps and opportunities for collaboration. By locating academic fields within different worldviews, the outlined schema reveals common ground beyond disciplinary confines around which IDTD research can be instigated.
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Di Vita, Antonella, Maddalena Boccia, Liana Palermo, and Cecilia Guariglia. "To move or not to move, that is the question! Body schema and non-action oriented body representations: An fMRI meta-analytic study." Neuroscience & Biobehavioral Reviews 68 (September 2016): 37–46. http://dx.doi.org/10.1016/j.neubiorev.2016.05.005.
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Raitskaya, L. K., and E. V. Tikhonova. "An Overview of Reviews as a Trend Maker in the Field." Vysshee Obrazovanie v Rossii = Higher Education in Russia 29, no. 3 (March 28, 2020): 37–57. http://dx.doi.org/10.31992/0869-3617-2020-29-3-37-57.
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The authors consider the methodology basics of reviews as a prospective type of scholarly publications, their taxonomy and most popular review types (narrative reviews, bibliometric reviews, systematic reviews, reviews of reviews, scoping reviews, meta-analysis), as well as specific features of procedures and algorithms for conducting reviews. Top 100 of highly cited reviews on higher education from 2010 to 2019 published in high-ranking peer-reviewed journals and indexed in the international database Scopus is based on the traditional methodology that aims to sample the most essential and influential publications of the kind in a well-represented and unbiased way and to subject the sampled reviews to content, bibliometric, and linguistic analyses. based on the inclusion criteria, keywords and methods of objective selection and sampling of the publications to be reviewed and analyzed, the authors singled out the essential thematic clusters in Top-100 list (educational technologies, university, student, teaching, learning, assessment, etc.) and determined the key directions in the review field of study. Each cluster contains a brief description of the most important aspects and approaches to various topics related to higher education, an analysis of their novelty and existing gaps in the field. According to the rhetoric theory of scholarly text by John Swales named ‘Moves and steps’, the authors offer a uniform rhetoric schema of reviews, commenting on the text components and their contents. Such a schema may serve as a guideline for authors of reviews made up for international peer-reviewed journals. The most popular publications by citations and number of publications entail reviews devoted to the culture of higher education; educational technologies and peculiarities of their application in the new educational landscape; online education as a new dimension of education requiring a special ecosystem; academic ethics of university teachers; soft skills development necessary for successful professional development; academic and scientific libraries as new centers for scientific and academic communication.
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Cockcroft, Robert. "Putting Aristotle to the Proof: Style, Substance and the EPL Group." Language and Literature: International Journal of Stylistics 13, no. 3 (August 2004): 195–215. http://dx.doi.org/10.1177/0963947004044871.
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Aristotle’s contention that rhetorical proof is effected by character through the persuader ( ethos), by emotion through the persuadee ( pathos) and through reasoning applied to the subject of persuasion ( logos) suggests one way of teaching rhetoric. EPL ( Ethos/Pathos/Logos) groups put in practice the three modes of proof as three roles to be enacted by students. This core concept of ‘Old’ (i.e. classical) Rhetoric also invites the application of ‘New’ Rhetorical (i.e. modern linguistic) methods to test its validity and enhance its usefulness. For example, schema theory is a common resource for all three roles: footing in discourse is used as a means of projecting ethos; deixis and functional sentence perspective both reinforce pathos; and meta discourse theory has close links to logos. The integrated use of these new techniques as coded and commented on by the three EPL representatives making up each group is exemplified by six of the joint projects completed in the final year of my experiment. It became easier for students, using this methodology, to think themselves into the position of a persuadee, to make the appropriate choice of linguistic means and to communicate these clearly and concisely with a view to discussion and evaluation.
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Basso Fossali, Pierluigi. "La passion et la figurativité: Les deux tentations greimassiennes face à la profondeur." Semiotica 2017, no. 219 (November 27, 2017): 219–37. http://dx.doi.org/10.1515/sem-2017-0045.
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AbstractGreimas’s intellectual trajectory can be seen as an intellectual journey full of challenges that left behind living remnants of a courage and an “energetism” of thinking which prohibits, even today, the construction of a dogmatism based solely on a single synchronic image of his semiotics. We can identify Greimas with his beloved topic, “the Fearless hero”: on the one hand, he extended the quest of a Sender, in keeping with the expectations of a deep narrative schema, while on the other hand, he structured his life around the permanence of a passion. Should we attribute this search to a “meta-will,” or to an endless implication in figurativity? “With passion, figurativity reigns,” Ricoeur told his friend Greimas, who worked on the origins of the modalities, with the predicament of raising the issue of an unanalysable ontic horizon. How can we explain the apparent contradiction between, on the one hand, the Greimassian challenge to deal with being, even speculatively, and, on the other, the search for an endless passion anchored in perception and its re-elaboration? Against the certainty of deep narrative logic is opposed the surface where forms of life coexist, where we find “the fidgeting, the uncertainty we are in.”
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Romero, María Camila, Paola Lara, and Jorge Villalobos. "Evolution of the Business Model: Arriving at Open Business Model Dynamics." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1 (March 5, 2021): 86. http://dx.doi.org/10.3390/joitmc7010086.
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The business is an abstraction of the way in which value is created and delivered. The concrete representation is the business model, expressed by a group of artifacts built with different languages. It serves to describe, explain, analyze, design, and evaluate the business. The set of concepts, construction rules, artifacts, and languages required to express it, are defined by a Meta-Business Model (MBM). Multiple authors have proposed different MBMs, each one with a specific motivation and objective. Some of these MBMs are widely recognized and have been applied in contexts like innovation and entrepreneurship. Due to new challenges, such as sustainability, being faced by businesses and given new ways of producing and delivering value, like the sharing economy, Novel Complex Businesses (NCBs) are emerging. NCBs are businesses characterized by circular structures made out of numerous inter-related components, and by creating value out of the product/service schema. While existing MBMs fulfill certain purposes, they do not have the expressiveness required to describe NCBs precisely enough to describe and analyze them. This paper introduces an MBM with the concepts, construction rules, and graphical notation needed to represent NCBs. We also illustrate an NCB and present the results of the validation for our MBM.
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Nupairoj, Nudee. "The Ecosystem of Media Literacy: A Holistic Approach to Media Education." Comunicar 24, no. 49 (October 1, 2016): 29–37. http://dx.doi.org/10.3916/c49-2016-03.
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This research article proposes a systematic way to disseminate media literacy education in Thailand, based on the UNESCO’s media and information literacy competencies. A media literacy learning schema was constructed using a mixed-method research before it was verified for efficacy and practicality by the in-depth interviews of media literacy experts. The interview data resulted in “the Ecosystem of Media Literacy” as a holistic and systematic approach to disseminate media literacy education. The Ecosystem of Media Literacy posits that the learning schema works in an environment that supports media literacy, with each component operating interdependently and in parallel with each other. It consists of the Media Literacy Learning Schema (Learners, Facilitators, Curriculum, and Pedagogy), the Society (Community, Civic Sectors, Media, and Parents), and the Policy. It is believed that using the Ecosystem model can lead to a behavior change among learners, the ultimate goal of education. In other words, media literacy will become a way of life. The Interview data also resulted in a new finding that Thailand’s media literacy components should consist of access, analyze and evaluate, reflect, and create, instead of access, evaluate, and create that the country has been using as a framework for over a decade. The findings of this research are applicable to other cultures with different groups of learners, with minor adaptations that can serve as a provisional policy guideline. Este artículo de investigación propone una manera sistemática para difundir la educación de la alfabetización mediática en Tailandia, basada en las competencias de la alfabetización mediática e informacional de la UNESCO. El esquema de aprendizaje de la alfabetización mediática se estableció aplicando un estudio de métodos mixtos antes de que su eficacia y funcionalidad haya sido comprobada por las entrevistas detalladas de expertos de alfabetización mediática. Los datos de estas entrevistas dieron lugar al «ecosistema de la alfabetización mediática» como un enfoque integral y sistemático para divulgar la educación de la alfabetización mediática. El ecosistema de la alfabetización mediática postula que el esquema de aprendizaje funciona en un ambiente que favorece la alfabetización mediática, donde cada componente opera de forma interdependiente y en paralelo: el esquema de aprendizaje de la alfabetización mediática (estudiantes, facilitadores, currículum y pedagogía), la sociedad (comunidad, sectores cívicos, medios, y los padres), y la política. Se piensa que el uso del modelo de ecosistema puede producir un cambio en el comportamiento de los estudiantes, la meta final de la educación. En otras palabras, la alfabetización mediática se convertirá en un modo de vida Los datos obtenidos de las entrevistas también dieron a conocer un nuevo descubrimiento, al demostrar que los componentes de la alfabetización mediática en Tailandia deberían consistir en acceder, analizar y evaluar, reflexionar, y crear; en vez de acceder, evaluar y crear; un marco que el país lleva usando durante más de una década. Los descubrimientos de esta investigación son aplicables a otras culturas con grupos diferentes de estudiantes, que con pequeñas adaptaciones, pueden servir como una orientación política provisional.