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Journal articles on the topic 'Synthesis of knowledge'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Hammond, J. W., Pamela A. Moss, Minh Q. Huynh, and Carl Lagoze. "Research Synthesis Infrastructures: Shaping Knowledge in Education." Review of Research in Education 44, no. 1 (2020): 1–35. http://dx.doi.org/10.3102/0091732x20907350.

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Research syntheses provide one means of managing the proliferation of research knowledge by integrating learnings across primary research studies. What it means to appropriately synthesize research, however, remains a matter of debate: Syntheses can assume a variety of forms, each with important implications for the shape knowledge takes and the interests it serves. To help shed light on these differences and their stakes, this chapter provides a critical comparative review of six research synthesis infrastructures, entities that support research syntheses through investments they make in synt

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2

Jifa, Gu. "Meta-synthesis Knowledge System." International Journal of Knowledge and Systems Science 1, no. 1 (2010): 58–72. http://dx.doi.org/10.4018/jkss.2010010105.

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Meta-synthesis knowledge system (MSKS) is based on the meta-synthesis system approach and knowledge science. This article introduces the basic theory of meta-synthesis knowledge system like DMTMC system, model integration, opinion synthesis, consensus building and expert mining. Similar MSKS systems are illustrated. Case studies and examples are also explored in this article.

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3

Brown, Ronald B. "Breakthrough Knowledge Synthesis in the Age of Google." Philosophies 5, no. 1 (2020): 4. http://dx.doi.org/10.3390/philosophies5010004.

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Epistemology is the main branch of philosophy that studies the nature of knowledge, but how is new knowledge created? In this perspective article, I introduce a novel method of knowledge discovery that synthesizes online findings from current and prior research. This web-based knowledge synthesis method is especially relevant in today’s information technology environment, where the research community has easy access to online interactive tools and an expansive selection of digitized peer-reviewed literature. Based on a grounded theory methodology, the innovative synthesis method presented here

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4

Maggio, Lauren A., Anton Ninkov, Joseph A. Costello, Erik W. Driessen, and Anthony R. Artino. "Knowledge syntheses in medical education: Meta-research examining author gender, geographic location, and institutional affiliation." PLOS ONE 16, no. 10 (2021): e0258925. http://dx.doi.org/10.1371/journal.pone.0258925.

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Introduction Authors of knowledge syntheses make many subjective decisions during their review process. Those decisions, which are guided in part by author characteristics, can impact the conduct and conclusions of knowledge syntheses, which assimilate much of the evidence base in medical education. To better understand the evidence base, this study describes the characteristics of knowledge synthesis authors, focusing on gender, geography, and institution. Methods In 2020, the authors conducted meta-research to examine authors of 963 knowledge syntheses published between 1999 and 2019 in 14 c

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Nakamori, Yoshiteru, and Andrzej P. Wierzbicki. "Systems Approach to Knowledge Synthesis." International Journal of Knowledge and Systems Science 1, no. 1 (2010): 1–13. http://dx.doi.org/10.4018/jkss.2010010101.

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This article presents a systems approach to knowledge synthesis or construction, starting with a new systems thinking named the informed systems thinking, which should serve as the basic tool of knowledge integration and support creativity. Based on this new systems thinking, a new systems approach to knowledge synthesis or construction has been developed as a systems methodology that consists of three fundamental parts: how to collect and synthesize knowledge, how to use our abilities in collecting knowledge, and how to justify the synthesized knowledge. This article first describes the infor

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Vohrisheva, Margarita G. "tional Synthesis of Rational Knowledge." Bibliotekovedenie [Russian Journal of Library Science], no. 5 (October 19, 2010): 102–22. http://dx.doi.org/10.25281/0869-608x-2010-0-5-102-122.

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7

McGill, Gael G. "Knowledge synthesis through scientific visualization." Nature Microbiology 7, no. 2 (2022): 185. http://dx.doi.org/10.1038/s41564-021-01048-x.

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Yamashita, Yukihiro, Yoshiteru Nakamori, and Andrzej P. Wierzbicki. "Knowledge synthesis in technology development." Journal of Systems Science and Systems Engineering 18, no. 2 (2009): 184–202. http://dx.doi.org/10.1007/s11518-009-5103-4.

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Bartz, Claudia C. "Communication technology and knowledge synthesis." Research in Nursing & Health 32, no. 2 (2009): 123–24. http://dx.doi.org/10.1002/nur.20313.

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10

Dobronravova, Iryna. "Post non-classical Synthesis of Knowledge." Filosofiya osvity. Philosophy of Education 25, no. 2 (2020): 142–50. http://dx.doi.org/10.31874/2309-1606-2019-25-2-8.

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Academician V. S. Stepin, considering the objects of classical and non-classical types of rationality like aspects or fragments of self-developing systems as the object of post non-classical type of rationality, provided a methodological foundation for formulating a post non-classical synthesis of foregoing knowledge on the basis of new theoretizations of post non-classical sciences. The present article provides examples of such synthesis in Quantum Physics of the Alive as a phenomenon of post non-classical science, Physics of the Alive demonstrated, how the self-organization of a live o

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11

A., RAHMAN, and M. HASAN M. "Lattice Properties of Alkali l-Hydrides and Deutrides using Interaction Potentials." Journal of Indian Chemical Society Vol. 64, Mar 1987 (1987): 163–65. https://doi.org/10.5281/zenodo.6219975.

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Department of Chemistry, Sahibganj College, Sahibganj-816 109 Department of Physics, Bhagalpur University, Bhagalpur-812 007 <em>Manuscript received 13 June 1966, revised 11 November 1986, accepted 17 February 1987</em> Values of Cohesive energy, atomisation energy, Graneisen parameter, Anderson — Gruneisen parameter, Moelwyn — Hughes parameter, binding energy and dissociation energy of alkali hydrides and deutrides have been computed using three interaction potentials, namely, Born — Mayer, Hellmann and Wasastjerna, and using our own method of calculation. The results obtain

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12

Krinkin, Kirill, Alexander Ivanovich Vodyaho, Igor Kulikov, and Nataly Zhukova. "Deductive Synthesis of Networks Hierarchical Knowledge Graphs." International Journal of Embedded and Real-Time Communication Systems 12, no. 3 (2021): 32–48. http://dx.doi.org/10.4018/ijertcs.2021070103.

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The article focuses on developing of a deductive synthesis method for building telecommunications networks (TN) hierarchical knowledge graphs (KG). Synthesized KGs can be used to solve search, analytical, and recommendation (forecast) problems. TNs are complex heterogeneous objects. The synthesis of knowledge graphs of such objects requires much computational resources. The proposed method provides a low complexity of the synthesis of KG of TN by taking into account their hierarchical structure. The authors propose to do synthesis by direct downward multilevel inference and reverse multilevel

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13

Yang, Linda, Ani Orchanian-Cheff, Melanie Anderson, Ashley Farrell, and Tim Tripp. "Implementing a Three-Tiered Service Model for Knowledge Syntheses at an Academic Teaching Hospital." Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 41, no. 2 (2020): 46–66. http://dx.doi.org/10.29173/jchla29436.

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With increasing interest in publishing systematic reviews and other syntheses comes increasing numbers of researchers who want to perform a synthesis, but are unfamiliar with the rigorous methods and requirements of this kind of review. In response to increasing demand, and problems observed in working with researchers new to knowledge synthesis, UHN Library and Information Services designed and implemented a new Knowledge Synthesis Service model to meet the demand while providing an opportunity to educate researchers about guidelines for KS methodology and reporting standards, as well as a me

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14

Hurrell, Derek. "Conceptual Knowledge OR Procedural Knowledge or Conceptual Knowledge AND Procedural Knowledge: Why the Conjunction is Important to Teachers." Australian Journal of Teacher Education 46, no. 2 (2021): 57–71. http://dx.doi.org/10.14221/ajte.2021v46n2.4.

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The terms conceptual knowledge and procedural knowledge are often used by teachers and never more so than when discussing how teachers teach, and children learn mathematics. This paper will look at literature regarding conceptual and procedural knowledge and their place in the classroom, to offer teachers and teacher educators’ advice on some of the more pressing issues and understandings around them. A thorough synthesis of extant and seminal literature will provide advice to teachers and teacher educators on how a deeper insight into conceptual and procedural knowledge could improve the qual

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15

Ahmad, K., and L. A. Miles. "Specialist knowledge and its management." Journal of Hydroinformatics 3, no. 4 (2001): 215–29. http://dx.doi.org/10.2166/hydro.2001.0020.

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A method for systematically analysing text is outlined for use in the acquisition of specialist knowledge. Such knowledge can typically be engineered in the knowledge bases of hydroinformatic systems. A synthesis of work in the corpus-based studies of language and in the literature on Language for Special Purposes is presented. This synthesis forms the basis of semi-automatic analysis of texts for extracting terms, elaborating terms and identifying heuristics.

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16

Kostenko, K. I. "Operations of Formalized Knowledge Cognitive Synthesis." PROGRAMMNAYA INGENERIA 9, no. 4 (2018): 174–84. http://dx.doi.org/10.17587/prin.9.174-184.

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17

van Munster, Barbara C., and SE de Rooij. "Delirium: a synthesis of current knowledge." Clinical Medicine 14, no. 2 (2014): 192–95. http://dx.doi.org/10.7861/clinmedicine.14-2-192.

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18

Regal, Paul. "Delirium: a synthesis of current knowledge." Clinical Medicine 14, no. 4 (2014): 454.2–455. http://dx.doi.org/10.7861/clinmedicine.14-4-454a.

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19

van Munster, Barbara C., and SE de Rooji. "Delirium: a synthesis of current knowledge." Clinical Medicine 14, no. 5 (2014): 548. http://dx.doi.org/10.7861/clinmedicine.14-5-548.

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20

Plaksiieva, K. D., T. F. Tatarchuk, N. V. Kosei, K. Y. Melnyk, and O. S. Kozlov. "Uterine fibroids: synthesis of modern knowledge." REPRODUCTIVE ENDOCRINOLOGY, no. 63-64 (May 27, 2022): 8–18. http://dx.doi.org/10.18370/2309-4117.2022.63.8-18.

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Uterine fibroids is an extremely common tumor of the female reproductive system in the population. The problem of this pathology is the diversity of symptoms, mediated by the variety of sizes and locations of myomas, significant impact on reproductive function and frequent misunderstanding of the tumor nature, which leads to unwarranted hysterectomies, even among young women.Authors review the literature on the basis of modern guidelines, which reveals the potential of preserving methods of treatment of fibroids. It is also attempted to answer the most common questions about this pathology.The

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21

Dumancic, Sebastijan, Tias Guns, and Andrew Cropper. "Knowledge Refactoring for Inductive Program Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (2021): 7271–78. http://dx.doi.org/10.1609/aaai.v35i8.16893.

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Humans constantly restructure knowledge to use it more efficiently. Our goal is to give a machine learning system similar abilities so that it can learn more efficiently. We introduce the knowledge refactoring problem, where the goal is to restructure a learner's knowledge base to reduce its size and to minimise redundancy in it. We focus on inductive logic programming, where the knowledge base is a logic program. We introduce Knorf, a system which solves the refactoring problem using constraint optimisation. A key feature of Knorf is that, rather than simply removing knowledge, it also introd

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22

Michie, Donald, and Ivan Bratko. "Ideas on Knowledge Synthesis ..... a correction." ICGA Journal 10, no. 2 (1987): 94. http://dx.doi.org/10.3233/icg-1987-10207.

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23

Teel, Cynthia. "Creating Curricular Opportunities for Knowledge Synthesis." Journal of Nursing Education 53, no. 8 (2014): 431–32. http://dx.doi.org/10.3928/01484834-20140722-10.

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24

Gu, Jifa. "Expert Mining: Realization of Knowledge Synthesis." JOURNAL OF ENGINEERING STUDIES 2, no. 2 (2010): 100–107. http://dx.doi.org/10.3724/sp.j.1224.2010.00100.

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25

Garritty, C., A. Stevens, C. Hamel, M. Golfam, B. Hutton, and D. Wolfe. "Knowledge Synthesis in Evidence-Based Medicine." Seminars in Nuclear Medicine 49, no. 2 (2019): 136–44. http://dx.doi.org/10.1053/j.semnuclmed.2018.11.006.

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26

Brouwers, M., D. Stacey, and A. O'Connor. "Knowledge creation: synthesis, tools and products." Canadian Medical Association Journal 182, no. 2 (2009): E68—E72. http://dx.doi.org/10.1503/cmaj.081230.

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27

Fotinea, Stavroula-Evita, Eleni Efthimiou, George Caridakis, and Kostas Karpouzis. "A knowledge-based sign synthesis architecture." Universal Access in the Information Society 6, no. 4 (2007): 405–18. http://dx.doi.org/10.1007/s10209-007-0094-8.

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28

Mallidou, Anastasia. "Mapping the landscape of knowledge synthesis." Nursing Management 21, no. 5 (2014): 30–39. http://dx.doi.org/10.7748/nm.21.5.30.e1242.

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29

AlGeddawy, Tarek, and Hoda ElMaraghy. "Manufacturing systems synthesis using knowledge discovery." CIRP Annals 60, no. 1 (2011): 437–40. http://dx.doi.org/10.1016/j.cirp.2011.03.046.

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30

Sussman, Dafna, Stephen J. Lye, and Greg D. Wells. "Summary and synthesis of current knowledge." Early Human Development 94 (March 2016): 63–64. http://dx.doi.org/10.1016/j.earlhumdev.2016.01.009.

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31

Benner, Steven A. "Synthesis as a Route to Knowledge." Biological Theory 8, no. 4 (2013): 357–67. http://dx.doi.org/10.1007/s13752-013-0142-y.

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32

Perrier, Laure, David Lightfoot, M. Ryan Kealey, Sharon E. Straus, and Andrea C. Tricco. "Knowledge synthesis research: a bibliometric analysis." Journal of Clinical Epidemiology 73 (May 2016): 50–57. http://dx.doi.org/10.1016/j.jclinepi.2015.02.019.

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33

Wong, Geoff. "Knowledge synthesis approaches–spoilt for choice?" Journal of Clinical Epidemiology 73 (May 2016): 8–10. http://dx.doi.org/10.1016/j.jclinepi.2015.08.031.

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34

Whittemore, Robin, Ariana Chao, Myoungock Jang, Karl E. Minges, and Chorong Park. "Methods for knowledge synthesis: An overview." Heart & Lung 43, no. 5 (2014): 453–61. http://dx.doi.org/10.1016/j.hrtlng.2014.05.014.

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35

DeSchryver, Michael. "Web-Mediated Knowledge Synthesis for Educators." Journal of Adolescent & Adult Literacy 58, no. 5 (2014): 388–96. http://dx.doi.org/10.1002/jaal.373.

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36

Dalmer, Nicole K. "Unsettling Knowledge Synthesis Methods Using Institutional Ethnography: Reflections on the Scoping Review as a Critical Knowledge Synthesis Tool." Qualitative Health Research 30, no. 14 (2020): 2361–73. http://dx.doi.org/10.1177/1049732320949167.

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Scoping reviews are an increasingly popular knowledge synthesis method. While knowledge synthesis methods abound in evidence-based practices, these methods are critiqued for their reliance on positivism. Drawing on a scoping review that mapped scholarly conceptualizations of family caregivers’ information-related dementia care work, in this article, I reconcile institutional ethnography’s epistemological and ontological assumptions with the prescribed scoping review framework. I first explore the textual organization of scoping reviews. I then unpack the process of modifying three scoping revi

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37

Gewurtz, Rebecca, Mary Stergiou-Kita, Lynn Shaw, Bonnie Kirsh, and Susan Rappolt. "Qualitative Meta-Synthesis: Reflections on the Utility and Challenges in Occupational Therapy." Canadian Journal of Occupational Therapy 75, no. 5 (2008): 301–8. http://dx.doi.org/10.1177/000841740807500513.

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Background. A qualitative meta-synthesis is an approach to synthesizing relevant findings from across qualitative studies on a particular topic using methods consistent with qualitative research.Purpose. Using examples of recently completed qualitative meta-synthesis projects, the purpose of this paper is to present the meta-synthesis approach; highlight the key steps, processes, and issues involved; and demonstrate its potential to advance knowledge about occupation and occupation-based practice.Key Issues. The qualitative meta-synthesis approach allows us to take stock of the current state o

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38

GU, JIFA, and XIJIN TANG. "META-SYNTHESIS SYSTEM APPROACH TO KNOWLEDGE SCIENCE." International Journal of Information Technology & Decision Making 06, no. 03 (2007): 559–72. http://dx.doi.org/10.1142/s0219622007002629.

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Meta-synthesis system approach (MSA) is proposed to tackle with open complex giant systems (OCGS) problems by Chinese system scientists since the late 1980s. Its essential idea can be simplified as from confident qualitative hypothesis to vigorous quantitative validation. To apply this approach, the synthesis of human expert opinions and emergent knowing, machines' powerful computing capacity and the available knowledge and cases are specifically emphasized from the perspective of systems engineering practice. Then the MSA practice may bring new understandings, knowledge and even paradigms abo

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39

Torra, Vicenç. "Knowledge-based validation: Synthesis of diagnoses through synthesis of relations." Fuzzy Sets and Systems 113, no. 2 (2000): 267–76. http://dx.doi.org/10.1016/s0165-0114(98)00342-x.

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40

Sherwood,, Gwen. "Meta-Synthesis: Merging Qualitative Studies to Develop Nursing Knowledge." International Journal of Human Caring 3, no. 1 (1999): 37–42. http://dx.doi.org/10.20467/1091-5710.3.1.37.

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As the numbers of qualitative studies on a specific topic multiply, synthesis of the merged results helps to clarify the state of the field based on the research analysis. By apprehending and re-presenting findings from studies on a related topic through meta-synthesis, findings from single qualitative studies become more meaningful. The purpose of a meta-synthesis is to identify the extant qualitative research on a given topic and to translate the findings into a single representation offering a fuller understanding of the phenomenon. Synthesis of the commonalties emerging from the results of

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41

Bernard-Verdier, Maud, Tina Heger, Daniel Mietchen, et al. "Building an atlas of knowledge for invasion biology and beyond! 2nd enKORE-INAS Workshop." Research Ideas and Outcomes 9 (November 22, 2023): e115395. https://doi.org/10.3897/rio.9.e115395.

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With the exponential increase in scientific publications, new conceptual and technological tools are needed to help scientists, students, managers and policy-makers to navigate and digest current scientific knowledge. Hi Knowledge is an initiative to synthesise and visualise scientific knowledge, with an initial focus on invasion biology that is currently expanding to include urban ecology, restoration ecology and freshwater ecology. In a workshop on 5-6 June 2023 in Berlin, Germany, we discussed and tested a collection of new open tools related to this initiative in order to publish, curate,

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42

Wang, Yi, Han Ding, and Ge Ging Xu. "Computer Aided Organic Synthesis Based on Graph Grammars." Applied Mechanics and Materials 411-414 (September 2013): 227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.227.

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Traditionally, computer aided organic synthesis is based on the one-dimensional string model that employs string grammars to tackle the structure of molecular; the processing of organic reactions, and the establishment of the knowledge bases and file systems. Because of the limitations of one-dimensional method for tackling two-dimensional issues like organic syntheses, this paper presents a method for computer aided organic synthesis based on two-dimensional graph grammars. The method could apply the basic principle of the graph grammars to effectively and efficiently solve organic synthesis

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43

Babl, Franz E., Emma Tavender, and Stuart R. Dalziel. "From knowledge generation to synthesis to translation." Emergency Medicine Australasia 33, no. 2 (2021): 192–94. http://dx.doi.org/10.1111/1742-6723.13759.

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44

WATANABE, Shun, and Hitoshi WATANABE. "KNOWLEDGE REPRESENTATION MODEL FOR ARCHITECTURAL DESIGN SYNTHESIS." Journal of Architecture, Planning and Environmental Engineering (Transactions of AIJ) 443 (1993): 71–78. http://dx.doi.org/10.3130/aijax.443.0_71.

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45

Vázquez-Varela, Carmen, José M. Martínez-Navarro, and Luisa Abad-González. "Traditional Fire Knowledge: A Thematic Synthesis Approach." Fire 5, no. 2 (2022): 47. http://dx.doi.org/10.3390/fire5020047.

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Building fire-adaptive communities and fostering fire-resilient landscapes have become two of the main research strands of wildfire science that go beyond strictly biophysical viewpoints and call for the integration of complementary visions of landscapes and the communities living there, with their legacy of knowledge and subjective dimensions. Both indigenous fire management (IFM) and local fire management (LFM) are rooted in traditional fire knowledge and are among the most important contributions that rural communities can make to management partnerships. Focusing specifically on traditiona

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46

Tulchinskii, Grigorii. "Personological synthesis of the paradigm of knowledge." Socium i vlast 4 (2019): 88–92. http://dx.doi.org/10.22394/1996-0522-2019-4-88-92.

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47

Zandonade, Tarcisio. "Discourse Synthesis: The Structure of Knowledge Production." Social Epistemology 17, no. 1 (2003): 79–87. http://dx.doi.org/10.1080/0269112032000114859.

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48

Theissen, Gerd. "A NEW SYNTHESIS OF KNOWLEDGE AND FAITH." Zygon� 29, no. 3 (1994): 389–99. http://dx.doi.org/10.1111/j.1467-9744.1994.tb00677.x.

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49

Born, Julia, Virginie Boreux, and Michael J. Lawes. "Synthesis: Sharing Ecological Knowledge-The Way Forward." Biotropica 41, no. 5 (2009): 586–88. http://dx.doi.org/10.1111/j.1744-7429.2009.00573.x.

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50

DeCoito, Isha. "STEM Education in Canada: A Knowledge Synthesis." Canadian Journal of Science, Mathematics and Technology Education 16, no. 2 (2016): 114–28. http://dx.doi.org/10.1080/14926156.2016.1166297.

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