Knowledge Of Elements Research Articles

How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents

Science, technology, and innovation are becoming increasingly collaborative, prompting concerted efforts to understand and measure the factors influencing these collaborations. This study aims to explore the driving factors and underlying mechanisms of collaboration dynamics based on patent data. Multilayer longitudinal networks are constructed to scrutinize interactions among organizations as well as the embedding of their knowledge elements in the network fabric. We then analyze the structures and characteristics of collaboration and knowledge networks from global and local perspectives, in which process topological indicators and graphlets are used to feature each organization's collaborative patterns and knowledge stock. Knowledge elements are extracted to present the core concepts of patents, overcoming the limitations of predefined categorizations, such as IPC, when representing technological content and context. By performing a longitudinal analysis using a stochastic actor-oriented model, we integrate network structures, node characteristics, and different dimensions of proximity to model collaboration dynamics and reveal the driving factors behind them. An empirical study in the field of lithography finds that organizations with a larger number of partners or a higher number of annular graphlets in their collaboration networks are less likely to collaborate with others. If an assignee has a more extensive range of knowledge elements and demonstrates a higher capability for knowledge combination, or if its local knowledge network exhibits weaker connectivity, its propensity to seek new collaborators increases. Both cognitive and organizational proximity play important roles in fostering collaboration.

SecKG2vec: A Novel Security Knowledge Graph Relational Reasoning Method based on Semantic and Structural Fusion Embedding

Knowledge graph technology is widely used in network security design, analysis, and detection. By collecting, organizing, and mining various security knowledge, it provides scientific support for security decisions. Some public Security Knowledge Repositories (SKRs) are frequently used to construct security knowledge graphs. The quality of SKRs affects the efficiency and effectiveness of security analysis. However, the current situation is that the identification of relational information among security knowledge elements is not sufficient and timely, and a large number of key relational information is missing. In view of this, we propose a security knowledge graph relational reasoning method, based on the fusion embedding of semantic correlation and structure correlation, named SecKG2vec. By SecKG2vec, the embedded vector simultaneously presents both semantic and structural characteristics, and it can exhibit better relational reasoning performance. In qualitative evaluation and quantitative experiments with baseline methods, SecKG2vec has better performance in relationship reasoning task and entity reasoning task, and potential capability of 0-shot scenario prediction.

Existencia y representación política en el maestro

The document seeks to introduce the problematization of political representation, placing elements of existential order in the lives of teachers. In the section, titled: Searching for the memory of the political representation of teachers, the idea of ​​memory is developed with some references to the teaching of the Catholic Church in statements about the work of teachers and education. The following section entitled Educational everyday life and soteriological meanings aims to give continuity to the problem of memory and the political and existential representation of the teacher from a patristic anchor evocatively inspired by the work of the doctor of the church, Saint Maximus the Confessor. The last part and the conclusions situate the problem and the purpose of the necessary inclusion of narrative forms that truly allow man to emancipate himself from the yoke of Leviathan. The work ventures into the realms of exploration through symbols that have been eroded by modernity. It outlines an archeology of knowledge about elements of educational knowledge from a Christian conception that today is foreign to many modern spirits given the metaphysical crisis and catastrophe that marks our post-modern and neoliberal educational experience, very foreign even to the libertarian mentality of our school teachers. like Fernando González, and whose epigraph captured in the year 1941 in his book The School Teacher has served us to introduce this document.

The concept map as a tool for analyzing museum objects

AbstractThis paper discusses using the concept map to study museum objects. The tool's original purpose, which was created in the 1970s by Joseph Novak, was to graphically represent the construction of knowledge of scientific topics by learners, particularly children. Concept maps start from the premise that new knowledge is always built on previous knowledge and allow the representation, organization, and relationship between concepts, which are seen as the primary elements of knowledge. Novak recognized that its potential is insufficiently explored and encouraged its application in different disciplines and fields that deal with concepts and their relationships. This incentive led the Museum of Astronomy and Related Sciences (Rio de Janeiro, Brazil) to adopt the concept map on an experimental basis to analyze objects in its collection. At first, the tool sought to emphasize the conceptual potential of museum objects and shed more light on their trajectory in time and space and the numerous possible connections with events, institutions, concepts, people, and other objects. In the initial experimental phase, the maps were included in papers presented at academic events and discussed with professionals dedicated to science and technology collections and other specialists in Museology and Information Science. In the second stage, maps began to be produced in greater numbers and on demand, focusing on objects selected for a temporary exhibition. Based on the assumption that museum objects are both unique and representative of a class of objects that share the same name and function, the maps constructed were based on Ingetraut Dahlberg's Theory of Concept, which distinguishes between general and individual objects and concepts.

Design and Implementation of a Geographic Scenario Computation System Based on Knowledge Base

Abstract. The promotion and expansion of Geographic Information System (GIS) applications have increased the complexity of geocomputation. The concept of a geographic scene, which encompasses both geographic entities and complex spatial interaction relationships, serves as a means of organizing and expressing geographic information. Existing methods of organizing and computing geographic scenes often focus on single geometric elements or single-category objects, neglecting the complexity of the geocomputation process and leading to biased results. To address this issue, this study designs and implements a geographic scenario computation system based on WebGIS to overcome the lack of integration of knowledge elements in traditional geographic scenario computation methods. The system consists of a data management module, a geographic scenario visualization module, and a geographic scenario computation module. It not only realizes the visualization of geographic scenarios but also introduces a knowledge base into the geographic scenario computation process, enabling accurate management of geographic scenarios. This paper uses a farmland scenario in Shandong Province, China, as a case study to verify the effectiveness and feasibility of the system. The application of this system provides new technical support for the computation process of geographic scenarios, promoting the refinement and intelligent development of geographic scenario management. This method can also be applied to similar applications of intelligent sensors and the Internet of Things in the organization and management of sensing information in the future.

Science communication across cultures: design and delivery of a graduate science communication program in South Africa

ABSTRACT Over two years, a graduate diploma program in science communication was designed and delivered by a university in the Republic of South Africa with assistance from a university in Australia. Building on the Australian program, the design incorporated cross-cultural and Indigenous Knowledge elements in keeping with the ethos of the South African university and broader inclusive movements within science communication. The overall design corresponded to many essential learning objectives later identified by Lewenstein and Baram-Tsabari (2022, How should we organize science communication trainings to achieve competencies? International Journal of Science Education, Part B, 12(4), 289–308. https://doi.org/10.1080/21548455.2022.2136985), but there were also many modifications that had to be made over the course of the design and delivery to accommodate cultural considerations. In this paper, we consider how closely the design matched the threshold concepts and the learning objectives suggested by Lewenstein and Baram-Tsabari, and what modifications might be made to them to include cultural considerations.

A Survey Study on TPACK Framework for Normal Students of English Major in Ethnic Colleges and Universities: Empirical Analysis Based on Structural Equation Modeling

With the continuous advancement of education informatization, Technological Pedagogical Content Knowledge (TPACK), as a new theoretical framework, provides a novel method for measuring teachers’ informatization teaching ability. This study takes normal students of English majors from three ethnic universities as the research object, collects relevant data through questionnaires, and uses structural equation modeling to conduct data analysis and empirical research to investigate the differences in the TPACK levels of these students at different grades and the structural relationships among the elements in the TPACK structure. The technological pedagogical knowledge element of the TPACK structure was not obtained by exploratory factors analysis but through path analysis and structural equation modeling, the results show that the one-dimensional core knowledge of technological knowledge (TK), content knowledge (CK), and pedagogical knowledge (PK) have a positive effect on the two-dimensional interaction knowledge of technological content knowledge (TCK) and pedagogical content knowledge (PCK); furthermore, TCK and PCK have a positive effect on TPACK; and TK, CK, and PK indirectly affect TPACK through TCK and PCK. On this basis, suggestions are provided to ethnic colleges and universities to develop the TPACK knowledge competence of normal students of English majors.

Reconfigurable flexible assembly model and implementation for cross-category products

As the production orders are becoming multi-category and small-batch in the era of product personalization, these require frequent reconfiguration of reconfigurable flexible assembly system for cross-category products (RFAS-CCP). However, there is no suitable theoretical assembly model and systematic implementation framework. We first propose a five-element assembly model (FAM) for RFAS-CCP, i.e. product, process, resource, knowledge, and decision. The product, process, and resource element describe the objects, steps to be assembled, and the tools, fixtures, and other equipment used for assembly, respectively. The knowledge element is a form representation of various heterogeneous data, such as a knowledge graph. The decision element includes various assembly methods to achieve assembly automation, flexibility, and intelligence. Then, in order to standardize and easy the frequent reconfiguration process, we reorganize various decision methods into a three-phase systematic implementation framework according to which stage they are used: design, configuration, and operation phases. The design phase methods primarily design various assembly modules for a product family, forming an assembly resource library. The configuration phase methods primarily configure suitable assembly lines for a specific product in the product family. The operation phase methods monitor the status of the assembly line and ensures its stable operation through health management. Finally, the effectiveness and practicality of the proposed five-element assembly model and three-phase systematic implementation framework are experimented with a pressure reducing valve product.

Constructing an indexing template for ancient acupuncture medical cases based on knowledge element theory

Ancient acupuncture medical cases not only possess historical literary value but also hold significant clinical importance. To enhance the utilization of ancient acupuncture medical cases and to guide the excavation of acupuncture theory and its clinical application, this study constructs an indexing template for "Ancient Acupuncture Medical Cases" based on the knowledge element theory and the fine-grained indexing requirements of ancient acupuncture texts. This template includes two levels, 7 categories, 28 knowledge element data, 31 semantic types, and 15 semantic relationships. These element data construct the interconnections of knowledge in ancient acupuncture medical cases, serving as a basis for fine-grained indexing of acupuncture medical case literature.

Toward the Definition of a Repertoire of Technical Professional Specialist Competencies for Operating Room Nurses: An Ethnographic Study.

Registered nurses in the operating room require specialized competencies that surpass basic educational training. Existing national and international documents attempt to outline these competencies but often lack comprehensive details. To address this, a repertoire of technical and professional competencies for operating room nurses, aligned with European and National Qualifications Frameworks, is proposed. Aim: Develop a repertoire of technical and professional competencies for perioperative and perianesthesiological specialist nursing roles. Methods: An at-home ethnography design was employed, utilizing participant observation, interviews to the double, and focus groups. Convenience sampling included 46 participants from a university and a public hospital in northern Italy. Data were collected from September 2021 to June 2023 and analyzed using inductive content analysis and data triangulation. Results: Identified 17 specialized technical professional competencies for perioperative and perianesthesiological nursing, divided into 6 areas of activity. These competencies encompass 19 learning outcomes, 152 tasks, 222 knowledge elements, and 218 skills. Conclusions: This competency repertoire aids in the public recognition of qualifications and serves as a valuable tool for identifying, validating, and certifying competencies. Future research should focus on exploring the competencies of central sterilization nurses and transversal competencies.

Technology, Pedagogy and Knowledge Element (TPACK) in The Malaysian Automotive Industry In-House Training Framework

In order to ensure that the Malaysian automotive industry is able to compete with the world market, continuous workplace learning must be in place. This is to ensure existing employees in the automotive industry maintain productivity and competitiveness. This study is conducted to identify the element of TPACK to further explore the component of in-house training framework for the automotive industry. This study uses a sequential exploratory mixed method model as a research design. The components of TPACK for the in-house training framework have been identified through the use of expert interviews. The interview phase featured seven panels, including technical trainers and academics with expertise in automotive industry. Data on the suitability of the TPACK elements was gathered quantitatively using questionnaires. The survey included 114 automotive technical trainers in total as a sample. Pedagogical knowledge (PK) comprises 22 out of the 36 training elements that were found to be the majority. The findings of this study also suggest the importance for technical trainers to integrate the TPACK model in the development of in-house training in the automotive industry. By integrating the TPACK model, a comprehensive in-house training can be developed and implemented.

Study of Nuclear Magnetic Resonance at Engineering and Medical Universities

The relevance of this study is related to the breadth of the nuclear magnetic resonance (NMR) method application in modern engineering and medical technologies. The purpose of the work is to adapt the material using the NMR method for students of medical, engineering and socio-humanitarian specialties and areas of study at different levels of presentation. The novelty of the research is as follows: the elements of knowledge for explaining the NMR method are highlighted; three levels of NMR explanation are justified and defined – classical and two quantum (qualitative and quantitative). The following methods have been used in the work: analysis and generalization of scientific, educational and methodological literature (on the content of the NMR method, nuclear spectroscopy and magnetic resonance imaging, the main professional educational programs of specialties and areas of study for undergraduate and graduate students of engineering and medical universities); designing the content of educational material; designing teaching methods and methods. Specific results include the development of three levels of NMR study. The classical level is based on the concepts of the magnetic induction vector of a circular current and its rotation around the magnetic induction of a constant magnetic field with a certain frequency, resonant absorption of radio signal energy by the core when their frequencies coincide. Quantum levels of study operate with the concepts of the orbital and magnetic spins of the atomic nucleus, the gyromagnetic ratio, Larmor precession, splitting of the energy levels of the atomic nucleus, the Bohr magnetone, and resonant absorption of energy by the nucleus. The classical level is recommended for students of social and humanitarian fields who do not study pure physics. The quantum qualitative level is recommended for students of specialties and fields of study at medical and engineering universities who do not study quantum physics as a special discipline. For students of engineering specialties related to quantum technologies, and medical specialties “Pharmacy” and “Dentistry”, undergraduates studying medical technology, a quantum quantitative level is recommended. The material of this study is of practical importance in teaching students of engineering and medical universities the physical basics of modern methods and technologies. Keywords: nuclear magnetic resonance, physics course, difficulty levels, engineering university, medical university, production technologies, medical technologies

Inventor’s ego network change and invention impact: The moderating role of knowledge networks

Prior research on social networks and innovation demonstrated that ego networks contribute to innovation. However, how changes in inventors’ ego network composition affect their invention impact remains unclear. From the perspective of knowledge recombination, we investigate the aforementioned relationship and further explore whether it varies with the combinatorial opportunities, and combinatorial potential of new knowledge elements acquired by the focal inventor and his/her knowledge diversity. We validated our hypotheses using patent data from Huawei filed in China from 2004 to 2013. Our findings suggest that an inventor’s ego network change has a positive effect on the inventor’s invention impact. Furthermore, the combinatorial potential of new knowledge elements weakens the aforementioned relationship, whereas the combinatorial opportunities of new knowledge elements and the focal inventor’s knowledge diversity strengthen it.

What Needs to be Learned by U.S. Cultural Heritage Professionals? Results from the Digital Preservation Outreach & Education Network

Abstract With the current proliferation of training opportunities available in digital preservation, this study asks: what are the most in demand digital preservation instruction topics? To answer this question, we did a qualitative content analysis of 168 Professional Development Support applications received by the Digital Preservation Outreach and Education Network (DPOE-N) between September 2020 and December 2023. The study finds that the management of digital records and metadata/cataloging standards were the most requested training topics, and that general and broadly applicable skills tend to be the most sought after. This indicates that there is a continuing need to provide education focusing on the core elements of digital preservation and knowledge, and that we have not moved on yet to a place where cultural heritage professionals are solely seeking skills in more advanced or specialized digital preservation topics.

Construction of Expert Image in Genre of Editorial: Discursive Practices

This research focuses on discursive practices employed to construct the expert image within the genre of editorial articles. The expert image aligns with the goals of this textual form. Initially, editorials served as a tool for expressing the publication’s voice and ensuring the status of an independent social institution. While this function has somewhat diminished today, editorials still play a significant role in shaping societal views and values, especially during pivotal political events. Therefore, it is crucial for authors of editorial articles to maintain authority and expert status. Research findings demonstrate that discursive practices such as referencing authoritative sources, highlighting the author’s achievements in discussing the issue at hand, presenting quantitative data, formulating predictions, and recommendations are utilized to shape the expert image in editorial articles. These practices are perceived by readers as elements of expert knowledge, yet they actually belong to distinct realms: expertise and counter-expertise. The author of the article differentiates between expertise, anti-expertise, and counterexpertise.

Computationally-efficient locking-free isogeometric discretizations of geometrically nonlinear Kirchhoff–Love shells

Discretizations based on the Bubnov-Galerkin method and the isoparametric concept suffer from membrane locking when applied to Kirchhoff–Love shell formulations. Membrane locking causes not only smaller displacements than expected, but also large-amplitude spurious oscillations of the membrane forces. Continuous-assumed-strain (CAS) elements were originally introduced to remove membrane locking in quadratic NURBS-based discretizations of linear plane curved Kirchhoff rods (Casquero et al., CMAME, 2022). In this work, we propose CASs and CASns elements to overcome membrane locking in quadratic NURBS-based discretizations of geometrically nonlinear Kirchhoff–Love shells. CASs and CASns elements are interpolation-based assumed-strain locking treatments. The assumed strains have C0 continuity across element boundaries and different components of the membrane strains are interpolated at different interpolation points. CASs elements use the assumed strains to obtain both the physical strains and the virtual strains, which results in a global tangent matrix which is a symmetric matrix. CASns elements use the assumed strains to obtain only the physical strains, which results in a global tangent matrix which is a non-symmetric matrix. To the best of the authors’ knowledge, CASs and CASns elements are the first assumed-strain treatments to effectively overcome membrane locking in quadratic NURBS-based discretizations of geometrically nonlinear Kirchhoff–Love shells while satisfying the following important characteristics for computational efficiency: (1) No additional unknowns are added, (2) No additional systems of algebraic equations need to be solved, (3) The same elements are used to approximate the displacements and the assumed strains, (4) No additional matrix operations such as matrix inversions or matrix multiplications are needed to obtain the stiffness matrix, and (5) The nonzero pattern of the stiffness matrix is preserved. Analogously to the interpolation-based assumed-strain locking treatments for Lagrange polynomials that are widely used in commercial FEA software, the implementation of CASs and CASns elements only requires to modify the subroutine that computes the element residual vector and the element tangent matrix. The benchmark problems show that CASs and CASns elements, using either 2 × 2 or 3 × 3 Gauss–Legendre quadrature points per element, are effective locking treatments since these element types result in more accurate displacements for coarse meshes and excise the spurious oscillations of the membrane forces.

Tree knowledge structure for better insight: Capturing biomedical science-technology knowledge linkage with MeSH

Measuring the knowledge linkage between science and technology (S&T) is crucial for understanding the interactions between S&T and assisting decision-makers in strategizing research and development investments. Conventional analyses of S&T knowledge linkage have frequently overlooked the semantic structure of knowledge elements thereby introducing biases in the measurements. To address this issue, this study introduces a novel method predicated on the tree semantic structure, which quantifies the S&T linkage by considering the hierarchy and category of knowledge elements within an ontological framework. In this method, knowledge trees are constructed to represent the core knowledge of S&T literature, incorporating hierarchically organized MeSH descriptors. These knowledge trees are subsequently utilized to measure the knowledge linkage between S&T by integrating intra-branch knowledge similarity and inter-branch knowledge distribution. An empirical analysis was conducted on a substantial corpus of scientific publications and patents within the biomedicine sector. The findings predominantly revealed a stronger knowledge linkage between S&T in recent years, relative to the early 2000 s. It was also observed that patents are more inclined to include broader concepts in their titles and abstracts, in contract to the more specific concepts found in scientific publications. S&T literatures have increasingly focused on knowledge related to diseases, equipment, and health care. To verify the reliability of the proposed method, validation was performed with alternative measurements of knowledge linkage. In comparison to single-feature-based linkage measurements and network-based approaches, our proposed method demonstrates superior adaptability in capturing S&T linkage, especially when there is a marked disparity in the sample sizes of S&T literature. This study not only enriches the measurements of S&T knowledge linkage, but also furnishes empirical insights into the evolving patterns of S&T linkage within the biomedical domain.

A choice experiment economic valuation of cultural heritage tourism ecosystems

Economic valuation studies of non-market goods in culture and tourism have a long and recognised track record. Many studies focus on evaluating well-defined examples such as monuments, institutions or events, leaving the valuation of cultural heritage tourism ecosystems as an important and less explored challenge. This work addresses the evaluation of a cultural tourist ensemble in which factors such as the natural landscape, elements of tangible historical heritage and intangible technological knowledge are integrated, all referring to a specific territorial demarcation, which acts as a driver of tourist appeal. Choice experiment methodology is applied to obtain the value allocated to different attributes of the ensemble by various groups of visitors, according to their origin or type of stay: first, local, national and foreign visitors; and second, the canonical distinction between excursionists and tourists. In general, locals report a greater contribution to preserve cultural expressions while nationals and foreigners do so for tourism services. Tourists report greater appreciation for cultural consumption while excursionists do so for drivers of cultural and territorial brand. Our approach and results can provide a better basis to implement strategies of management and preservation of cultural ecosystems as niches for tourism activity and economic impact.

Development of an improved Bayesian network method for maritime accident safety assessment based on multiscale scenario analysis theory

The strait is infrastructure for connecting ports, ensuring the national economy and human life. Assessing maritime safety is crucial for strait operation and maintenance. Current methods over-rely on statistical analysis of historical data, which lacks scientific algorithms and cannot accurately assess safety timeliness. Therefore, this study proposes an improved Bayesian network (BN) model based on the multiscale scenario analysis theory to process to the maritime safety assessment process. Firstly, the maritime safety assessment model is constructed based on the knowledge element theory (KET) and scenario analysis theory (SAT). Secondly, a heuristic learning algorithm is used to construct the BN model of maritime accidents to define scenario elements and key parameters. Thirdly, a scenario simulation is conducted with the Bohai Strait as a case to assessment its emergency capability in catastrophic accidents. This paper successfully developed a maritime accident safety assessment framework using an improved BN algorithm within a scenario analysis perspective, significantly enhancing the accuracy and reliability of safety assessments. This methodology used in this study can be used a tool suitable for the safety assessment of major infrastructure accidents at the national level and the results obtained can serve as a reference for dynamically revising emergency plans.

Preventive, Curative, and Tolerance Practices: Family Farmers' Local Ecological Knowledge regarding Harmful Crop Arthropods in NW Patagonia

Family farming systems face the challenge of carrying out their activities alongside Harmful Arthropods (HA), which cause damage to edible, wild, and cultivated plants that are fundamental for farmers. This case study, with farmers from the Nahuel Huapi Family Farmers Free Fair (FFAFNH, Spanish acronym), shows some distinctive elements of Local Ecological Knowledge about HA (LEKHA). LEKHA investigated about seven HA among farmers regarding nomenclature, characterization, ecological aspects, cultivated species affected, ways of acquiring and transmitting knowledge, management practices, and HA's importance. Discussed how these aspects allow us to infer the hybrid character of LEKHA, which articulates traditional knowledge of peasant agriculture and Scientific Technical Knowledge (STK). A participatory workshop was carried out, which emerged as a request and demand from the members of the FFAFNH. Fifteen local names were registered, two of which were Mapuche. Most of the HA are recognized as harmful to more than one plant, and the majority (60%) have been with farmers for a long time. Regarding management, preventive practices predominated (57%) over curative practices (14%). We postulated a new HA management practice, "tolerance" (29%), which implies that HA coexist with people in their productive spaces and are deliberately allowed to follow their natural cycles. The predominant ways of acquiring and transmitting knowledge are idiosyncratic and oblique (35% each). The workshop was an instance of reinforcement and self-validation of LEKHA, where a dialogue of knowledge was established back and forth with the STK.