Research-based Knowledge Research Articles

Mapping disability and climate change knowledge base in Scopus using bibliometric analysis.

Climate change and disability are rarely addressed by academic scholars within the spectrum of disabilities and as a single field of study. However, the intersectionality of disability exacerbates the vulnerability of people with disabilities to climate change as climate change frameworks in the Global North and South continue excluding them. This study aims to map the research-based knowledge housed in Scopus on disability and climate change. At the same time, it provides insights into innovative (novelty) ways of thinking and proposes a futuristic research agenda. A bibliometric analysis was conducted on Scopus-indexed articles using VOSviewer to map co-occurrences of keywords and co-authorship, and a manual thematic-scoping review augmented the data analysis. The disability and climate change debate as a joint study evolved from concern among health practitioners to human rights and social inclusion. In conclusion, there is a skewness towards mental health and medical sociology lens, while other sub-groups of persons with disabilities are yet to be engaged in co-creating disability-inclusive climate change knowledge. Thematic areas emerged as gaps that future studies embed principles enshrined in the United Nations Convention for the Rights of Persons with Disabilities and the Sustainable Development Goals.

Fostering student teachers’ research-based knowledge of effective feedback

ABSTRACT Properly designed feedback can be highly conducive to students’ learning. Therefore, teacher education needs to equip future teachers with research-based knowledge of how to provide effective feedback. The present study reports the implementation and quasi-experimental evaluation (a pre-post control group design; N = 141) of a four-week intervention programme that aimed to enhance student teachers’ knowledge of effective feedback and their ability to provide it to students. As a secondary objective, we also tested whether the experience of applying research-based knowledge about feedback improved participants’ attitudes towards educational research. The results showed a substantial increase in knowledge about effective feedback. Moreover, in-depth analysis of written feedback indicated an improvement in participants’ ability to provide high-quality feedback. However, there was no additional effect on their attitudes towards the usability of knowledge from educational research. We discuss the implications for teacher education and teaching about effective feedback.

HTNpedia: A Knowledge Base for Hypertension Research.

Hypertension is notably a serious public health concern due to its high prevalence and strong association with cardiovascular disease and renal failure. It is reported to be the fourth leading disease that leads to death worldwide. Currently, there is no active operational knowledge base or database for hypertension or cardiovascular illness. The primary data source was retrieved from the research outputs obtained from our laboratory team working on hypertension research. We have presented a preliminary dataset and external links to the public repository for detailed analysis to readers. As a result, HTNpedia was created to provide information regarding hypertension-related proteins and genes. The complete webpage is accessible via www.mkarthikeyan.bioinfoau.org/HTNpedia.

Change as a Scientific Enterprise: Practical Suggestions about Using Change Theory.

Change theory has increasingly become an area of scholarship in STEM education. While this area has traditionally been a topic for organizational psychology, business management, communication studies, and higher education, STEM education researchers are increasingly aware of the need to use formal theories to guide change efforts and research. Formal change theory encompasses our current research-based knowledge about how and why change occurs, and therefore, can guide the selection and design of promising interventions. Yet learning about and using theory is challenging because many of us have no formal training in this area and relevant scholarship comes from many different disciplines. Inconsistent terminology creates an additional barrier. Thus, this essay aims to contribute to a common lexicon in STEM higher educational change efforts by clearly distinguishing between formalized change theory, which emerges from research, and a theory of change, which guides the logic of a specific project. We also briefly review the current state of the field regarding the use of formal change theory and provide examples of how change theory has been used in biology education. Lastly, we offer practical guidance for researchers and change agents who wish to more intentionally and effectively use change theory in their work.

The role of digital leaders’ emotional intelligence in mitigating employee technostress

Digital leadership involves dealing with complex challenges and anticipating trends that arise from emerging technologies. Amid the accelerated pace of digital transformation, consequences such as technostress have become apparent to organizations and their leaders. Emotional intelligence (EI) is an essential characteristic for enabling digital leaders to hone the necessary skills to lessen employees’ technostress by developing higher levels of consciousness of emotions—both one’s own and those of others. By synthesizing research-based knowledge of EI and leadership, we contribute to a broader understanding of competency requirements for digital transformation by bringing employees and the role of digital leadership through EI into the picture. This article also presents new EI strategies for digital leaders to mitigate employee technostress in digital transformation via communication, transparency, and trust.

MHD Hybrid Nanofluid Flow Past A Stretching/Shrinking Wedge With Heat Generation/Absorption Impact

Heat transfer is commonly utilized in diverse industrial applications, including the manufacturing of paper, the cooling of electrical devices, and the synthesis of new substances. Hence, this study aims to investigate the effect of heat generation/absorption on the steady magnetohydrodynamic (MHD) flow and heat transfer of Al2O3-Cu/H2O hybrid nanofluids over a permeable stretching/shrinking wedge. By using similarity transformation techniques, the governing equations of the hybrid nanofluids are transformed into similarity equations. The similarity equations are numerically solved using the MATLAB software's built-in bvp4c package. The findings show that hybrid nanofluids are seen to improve thermal efficiency in comparison to conventional fluid. In relation to heat transfer rate, the increase of magnetic parameters from 0.00 to 0.10 and 0.15 contributes approximately 12.3% and 18.8%, respectively. Meanwhile, as the heat generation parameter increases, the heat transfer rate decreases leading to an inefficient thermal system. The findings of this study are anticipated to contribute to the knowledge base of scientists and researchers in the field.

Common Language Development in Multilingual Contexts: A Study of Russian Language Policy in the Early Years of the Soviet Union.

In the field of Russian linguistics, history, and jurisprudence, the Russian language is widely regarded as a political instrument and, to some extent, reflects the development and influence of contemporary language policy of the Russian language in the Soviet Union. This study aims to examine the process, characteristics, influencing psychological and sociological factors, and consequences of Russian language policy in the early Soviet Union (1917-1930s). Thematic analysis and discourse strategy analysis methods were employed to achieve this goal. The results indicate that a well-thought-out language policy necessitates the establishment of language legislation and a precise legal definition of the status and use of different languages. The absence of language legislation can be a major drawback of language policy. While the Soviet Constitution and other relevant political documents broadly define the status and use of Russian and other languages, there is no specific language legislation regulating the use of each language. Analysis of word frequency statistics demonstrates that the key concepts of Stalinist policy differed compared to the time of Lenin's rule, resulting in a lack of effective legal force and strong mechanisms for controlling language policy practices. As the functional advantages of the Russian language become increasingly evident, some ethnic minorities tend to lean towards studying and using it, leading to the emergence of many bilingual and even trilingual individuals. Other minorities with small or underdeveloped populations turn to the Russian language, which is the most widely spoken language. These findings contribute to the theoretical and practical knowledge base for research in the fields of linguistics, linguistic culturology, history, psycholinguistics, and political science. Subsequent research can focus on current aspects of the country's language policy.

Teachers’ Competency in Content Knowledge and Pedagogy in Buhi South District, Philippines

This study investigated the competency of teachers in content knowledge and pedagogy. This involved the forty-five Elementary teachers teaching Grade levels 1 to 3 in the nine selected public elementary schools in the Department of Education (DepEd), Division of Camarines Sur, Buhi South District, Philippines, for the School Year 2022-2023. The study results revealed that teachers are Highly competent in content knowledge and pedagogy except in the utilization and application of research-based knowledge and principles of teaching and learning. The results further revealed that their professional peers were the most influential factor that affects them. Quantitative data shows that teachers' competency along content knowledge application within and across the curriculum areas, as well as the utilization of Mother tongue, Filipino, and English language, were significant in their demographic characteristics. It recommends that DepEd officials prioritize teachers' professional development that is tailored to their needs to continuously improve

The emergence of Design Thinking from Design Science to a Business Paradigm through the lens of Bibliometric Review

This study evaluates the current knowledge base of research on Design Thinking (DT) by conducting a bibliometric and network analysis of 986 scientific documents gathered from the Scopus database from 1992- 2021. The results reveal, inter alia, publication trends, identify influential documents, productive authors, journals, institutions, countries working and collaborating in the field of DT and the potential future research opportunities. Co-occurrence of Keywords and PageRank analysis was performed and relevant clusters emerging out of this analysis were described. The study maps the existing literature available and examines key research trends and theoretical underpinnings of this emerging discipline. Finally, the study provides detailed recommendations about the topics that need to be probed in detail in future research to advance a better understanding of this field.

Knowledge Structure of New Energy Vehicle Policy Research

Globally, transport is responsible for 23% of energy-related carbon dioxide emissions and 80% of these emissions are attributable to road transport. Significant transformations, including extensive electrification of the sector, are necessary to achieve climate change goals. To understand new energy vehicle (NEV) policy research, we explore the status, knowledge base and research frontiers of NEV policy research by studying 355 papers collected from the Web of Science™ (WoS) Core Collection database. We map NEV policy research trends and knowledge structure development using knowledge domain technology and bibliometric techniques. The knowledge base analysis shows that: (a) NEV policy formation and evaluation; (b) policy incentives and consumer adoption; and (c) consumer preferences towards NEV adoption are all essential knowledge foundations in NEV policy research and development (R&D). The efficiency of NEV policy, cost-effectiveness of alternative fuel vehicles (AFVs), consumer preferences for NEV adoption, hydrogen energy and fuel cell vehicles, climate policy and CO2 emissions are five main lines of research in NEV policy studies. With the highest number of publications from Tsinghua University, China is the most active country in NEV policy research. Energy Policy, Sustainability and Journal of Cleaner Production are the core journals and Energy and Fuels and Environmental Sciences are the core disciplines of NEV policy research. The findings of this analysis help policymakers and researchers to navigate the literature on NEV, provide a clear map of existing works, identify the gaps and recommend promising avenues for future studies.

From the children of today to the adults of tomorrow

ABSTRACT This address describes a process of maturation from three perspectives – first, the maturation of a researcher who has conducted a longitudinal study from middle childhood to middle adulthood; second, the maturation of the research participants; and third, the maturation of the present generation of children. To support the latter, knowledge on human development should be disseminated in many fields. Besides publications, other aims and means merit considerations. These include strengthening the value accorded to research-based knowledge, respect for expertise, social relevance of research, awareness of social context, and the channelling of information in novel ways, such as a scientifically authored open data bank that makes knowledge on human development available to everyone.

Synthesis of Poly-γ-Glutamic Acid and Its Application in Biomedical Materials.

Poly-γ-glutamic acid (γ-PGA) is a natural polymer composed of glutamic acid monomer and it has garnered substantial attention in both the fields of material science and biomedicine. Its remarkable cell compatibility, degradability, and other advantageous characteristics have made it a vital component in the medical field. In this comprehensive review, we delve into the production methods, primary application forms, and medical applications of γ-PGA, drawing from numerous prior studies. Among the four production methods for PGA, microbial fermentation currently stands as the most widely employed. This method has seen various optimization strategies, which we summarize here. From drug delivery systems to tissue engineering and wound healing, γ-PGA's versatility and unique properties have facilitated its successful integration into diverse medical applications, underlining its potential to enhance healthcare outcomes. The objective of this review is to establish a foundational knowledge base for further research in this field.

CONTENT PLANNING AND STRUCTURE DESIGN OF GLOBAL LAND COVER KNOWLEDGE ATLAS

Abstract. From 2000 to 2020, three versions of the 30-meter global land cover data products (GlobeLand30) have been made accessible to the public. The dataset with 30-meter spatial resolution and 10-year temporal resolution are widely used for monitoring environment changes and resource management at global, regional and local scales. By analysing and extracting information and knowledge from the GlobeLand30 data, we have planned and designed a global land cover knowledge atlas, which aims to expand the available knowledge base for scientific research, management decision-making, and knowledge dissemination.

Exploring the processes of evidence-informed decision-making in applied sport psychology

The purpose of the current study was to explore evidence-informed decisions involved in designing psychological interventions for performance enhancement. Employing a constructivist grounded theory methodology, 10 experienced and 10 early career sport psychology practitioners participated in semi-structured interviews. All participants gained their qualified status through the British Psychological Society and were registered practitioner psychologists with the Health and Care Professions Council within the UK. Accordingly, results are reflective of the participants’ training and practice experiences. Four key categories of decision-making processes were constructed: gathering information about the athlete, using research evidence, drawing on experience and tacit knowledge, and integration. Our findings demonstrated the interactions between research-based and practice-based knowledge when designing interventions that suit the needs of the athlete, work pragmatically within the applied context, and have the desired effect on the intervention goal. Our findings provide a better understanding of the interactions and processes used by sport psychology practitioners in applied practice. Such an understanding may inform the construction of evidence-informed interventions that lead to better performance outcomes. Lay Summary: This study explored the evidence-informed decision-making processes of 10 early career and 10 experienced, UK-based, sport psychology practitioners when designing interventions for athletes. Results highlighted the importance of integrating evidence from the athlete, research, and practice experiences to support evidence-informed decisions to enhance the performance of athletes.

Positive Factors Facilitating Collaboration Between Early Childhood Education and Care Institutions, and Multilingual Parents – A Protocol for a Systematic Review and Thematic Synthesis

This protocol presents the planned and upcoming work for a systematic review of the topic positive factors facilitating cooperation between early childhood education and care (ECEC) institutions, and multilingual parents. The number of children with a foreign background, both in Scandinavia and internationally, has increased during recent decades. These children are often exposed to more than one language on a daily basis. Earlier research has established that collaboration between ECEC institutions and parents is a vital factor in children’s development, learning, and school success. This is especially the case for multilingual children with a foreign background. This protocol discusses research-based knowledge in relation to this collaboration, and identifies a knowledge gap regarding up-to-date research on the positive factors enabling collaboration between ECEC institutions and multilingual parents. The aim of the planned systematic review is to contribute a scientifically based overview of knowledge about the positive factors facilitating collaboration between ECEC institutions and multilingual parents. The choice of methods for conducting this systematic review is stated and described in the presented protocol.

Are female CEOs greener? Female CEOs and green innovation: The role of their political embeddedness

AbstractAre female CEOs greener? Few studies have explicitly scrutinised the roles of female CEOs and their political embeddedness in green innovation. In the present work, the influence of female CEOs on green innovation is first examined. Then, the effect of politically embedded female CEOs on green innovation is explored by differentiating female CEOs as those who are and who are not politically embedded, respectively. Furthermore, the moderating effects of external environmental factors on this relationship, namely market competition and market development, are investigated. Using data on China's publicly operated firms from 2008 to 2017, the findings suggest the following: (1) female CEOs negatively affect green innovation; (2) politically embedded female CEOs positively affect green innovation; (3) the positive influence of politically embedded female CEOs on green innovation is strengthened when firms are situated in less competitive industries and more developed markets. This article extends the research and current knowledge base about female CEOs, political embeddedness, and green innovation.

Moving the Theory of Parental Cooperation and Innovation into Practice

Although many schools and teachers are aware the important factors for effective parental cooperation, they seem to lack an understanding of how to transform this theoretical knowledge into practice. One reason for this difficulty appears to be that teachers have traditionally focused more on what is needed to practice good cooperation with parents and less on how they can implement this knowledge in practice. The aim of this paper is to reveal how research-based knowledge within parental cooperation (what) and implementation (how) can contribute to developing teachers’ individual competence into schools’ collective competence within “challenging conversations with parents”. Taking a systems approach, we see that what is happening within the two separate systems—family and school—affects cooperation between the two parties. Thus, there is a need for a holistic view on cooperation. We draw upon recent research, qualitative and quantitative, on parent collaboration, revealing the important factors behind successful cooperation between parents and teachers. Our research suggests that teachers and schools need more individual and collective competence when working with parents. More specifically, teachers need additional competence and strategies when engaging in challenging conversations with parents. Transforming research-based knowledge about parental cooperation into practice is not a mechanical operation. We need different types of knowledge and approaches to implement strategies for teachers to handle challenging conversations with parents. This paper presents some strategies to help teachers accomplish this.

A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project.

Artificial intelligence (AI) has the potential in health care to transform patient care and administrative processes, yet health care has been slow to adopt AI due to many types of barriers. Implementation science has shown the importance of structured implementation processes to overcome implementation barriers. However, there is a lack of knowledge and tools to guide such processes when implementing AI-based applications in health care. The aim of this protocol is to describe the development, testing, and evaluation of a framework, "Artificial Intelligence-Quality Implementation Framework" (AI-QIF), intended to guide decisions and activities related to the implementation of various AI-based applications in health care. The paper outlines the development of an AI implementation framework for broad use in health care based on the Quality Implementation Framework (QIF). QIF is a process model developed in implementation science. The model guides the user to consider implementation-related issues in a step-by-step design and plan and perform activities that support implementation. This framework was chosen for its adaptability, usability, broad scope, and detailed guidance concerning important activities and considerations for successful implementation. The development will proceed in 5 phases with primarily qualitative methods being used. The process starts with phase I, in which an AI-adapted version of QIF is created (AI-QIF). Phase II will produce a digital mockup of the AI-QIF. Phase III will involve the development of a prototype of the AI-QIF with an intuitive user interface. Phase IV is dedicated to usability testing of the prototype in health care environments. Phase V will focus on evaluating the usability and effectiveness of the AI-QIF. Cocreation is a guiding principle for the project and is an important aspect in 4 of the 5 development phases. The cocreation process will enable the use of both on research-based and practice-based knowledge. The project is being conducted within the frame of a larger research program, with the overall objective of developing theoretically and empirically informed frameworks to support AI implementation in routine health care. The program was launched in 2021 and has carried out numerous research activities. The development of AI-QIF as a tool to guide the implementation of AI-based applications in health care will draw on knowledge and experience acquired from these activities. The framework is being developed over 2 years, from January 2023 to December 2024. It is under continuous development and refinement. The development of the AI implementation framework, AI-QIF, described in this study protocol aims to facilitate the implementation of AI-based applications in health care based on the premise that implementation processes benefit from being well-prepared and structured. The framework will be coproduced to enhance its relevance, validity, usefulness, and potential value for application in practice. DERR1-10.2196/50216.

Innovation in Bereavement Care: Research Circles as a Framework for Translation of Research-Based Knowledge.

This article aims to contribute to the research-practice gap in bereavement care by exploring Research Circles as a collaborative approach to implementation of research-based knowledge into bereavement care. Particularly the article discusses key dimensions for translating research concerning bereaved after drug-related deaths into practice-relevant knowledge, as a first step of implementation. This co-created knowledge translation took place in the first phase of a Research Circle including bereaved mothers, practitioners and researchers. Data were collected via semi-structured interviews with Research Circle participants and field notes. Data were analyzed using reflexive thematic analysis. Results showed two key dimensions with the Research Circle approach influencing the translation process: (1) multiple and long-lasting arenas for translation: (2) multiple stakeholders and perspectives. Research Circles appear to be a promising framework for translating research-based knowledge in bereavement care, but there are some barriers to fully realizing the democratic ideal that underlines the Research Circle framework.

Development of the Research Literacy Scale for Teachers

Research literacy is essential for teachers to practice their profession based on research-based knowledge. The present study aimed to develop and validate the Research Literacy Scale (RLS) and investigate teachers’ research literacy based on the Theory of Planned Behavior and research utilization models. The data was collected from teachers working in primary and secondary schools for two separate studies. According to the exploratory factor analysis results, a 20-item, four-factor solution emerged: research awareness, attitude toward research, research skills, and research use. Confirmatory factor analysis indicated that the four-factor model fit the data well, and all items are significant under the relevant factors. The sub-factors of the RLS demonstrated high internal consistency. Measurement invariance tests revealed showed full configural, metric, scalar, and strict invariance across gender. Teachers doing research had significantly higher scores on all four dimensions, and those who followed scientific journals had higher scores on the three dimensions except for attitude. As a conclusion RLS has good psychometric features to measure teachers’ research literacy, and variables related to research experience cause a significant difference in research literacy.