Objective: To automatically recognize self-acknowledged limitations in clinical research publications to support efforts in improving research transparency.Methods: To develop our recognition methods, we used a set of 8431 sentences from 1197 PubMed Central articles. A subset of these sentences was manually annotated for training/testing, and inter-annotator agreement was calculated. We cast the recognition problem as a binary classification task, in which we determine whether a given sentence from a publication discusses self-acknowledged limitations or not. We experimented with three methods: a rule-based approach based on document structure, supervised machine learning, and a semi-supervised method that uses self-training to expand the training set in order to improve classification performance. The machine learning algorithms used were logistic regression (LR) and support vector machines (SVM).Results: Annotators had good agreement in labeling limitation sentences (Krippendorff's α = 0.781). Of the three methods used, the rule-based method yielded the best performance with 91.5% accuracy (95% CI [90.1-92.9]), while self-training with SVM led to a small improvement over fully supervised learning (89.9%, 95% CI [88.4-91.4] vs 89.6%, 95% CI [88.1-91.1]).Conclusions: The approach presented can be incorporated into the workflows of stakeholders focusing on research transparency to improve reporting of limitations in clinical studies.
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Over the last two decades, institutions for higher education such as universities and colleges have rapidly expanded and as a result have experienced profound changes in processes of research and organization. However, the rapid expansion and change has fuelled concerns about issues such as educators' technology professional development. Despite the educational value of emerging technologies in schools, the introduction has not yet enjoyed much success. Effective use of information and communication technologies requires a substantial change in pedagogical practice. Traditional training and learning approaches cannot cope with the rising demand on educators to make use of innovative technologies in their teaching. As a result, educational institutions as well as the public are more and more aware of the need for adequate technology professional development. The focus of this paper is to look at action research as a qualitative research methodology for studying technology professional development in HE in order to improve teaching and learning with ICTs at the tertiary level. The data discussed in this paper have been drawn from a cross institutional setting at Fontys University of Applied Sciences, The Netherlands. The data were collected and analysed according to a qualitative approach.
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BACKGROUND: Multimorbidity, the co-occurrence of two or more chronic medical conditions within a single individual, is increasingly becoming part of daily care of general medical practice. Literature-based discovery may help to investigate the patterns of multimorbidity and to integrate medical knowledge for improving healthcare delivery for individuals with co-occurring chronic conditions. OBJECTIVE: To explore the usefulness of literature-based discovery in primary care research through the key-case of finding associations between psychiatric and somatic diseases relevant to general practice in a large biomedical literature database (Medline). METHODS: By using literature based discovery for matching disease profiles as vectors in a high-dimensional associative concept space, co-occurrences of a broad spectrum of chronic medical conditions were matched for their potential in biomedicine. An experimental setting was chosen in parallel with expert evaluations and expert meetings to assess performance and to generate targets for integrating literature-based discovery in multidisciplinary medical research of psychiatric and somatic disease associations. RESULTS: Through stepwise reductions a reference set of 21,945 disease combinations was generated, from which a set of 166 combinations between psychiatric and somatic diseases was selected and assessed by text mining and expert evaluation. CONCLUSIONS: Literature-based discovery tools generate specific patterns of associations between psychiatric and somatic diseases: one subset was appraised as promising for further research; the other subset surprised the experts, leading to intricate discussions and further eliciting of frameworks of biomedical knowledge. These frameworks enable us to specify targets for further developing and integrating literature-based discovery in multidisciplinary research of general practice, psychology and psychiatry, and epidemiology.
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Businesses that can develop an appropriate response to the turbulence created by change and diversified customer expectations retain their sustainable competitive advantage. Especially with Covid19, Digital Transformation has emerged as an important element of pressure and necessity on the competitive advantage of businesses. Digital transformation refers to a radical change process from the way of doing business in the industry and the market to the nature of the interaction with internal and external customers. Digital transformation allows for meeting new expectations with new business processes and customer experiences with the opportunities offered by digital technologies. Although Digital transformation offers important competencies for businesses, it seems that SMEs, especially as important actors in the economy, lag behind large enterprises in the digital transformation process. This situation necessitates a detailed consideration of SMEs in the digital transformation process. This study aims to examine Digital Transformation in SMEs in detail. To achieve this, studies investigating digital transformation in SMEs and presenting empirical results were identified from various indexes (Ulakbim, Scopus, Web of Science, and Proquest). The studies were classified according to "author," "date of publication," "type of research," "sample," and "variables." The empirical evidence regarding the digital transformation process of SMEs is presented. The findings of the study are expected to contribute to the literature by presenting empirical studies on Digital Transformation in SMEs comprehensively. Additionally, it will increase awareness of the findings regarding the digital transformation process of SMEs, which are important actors in the economy.
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Innovation is crucial for higher education to ensure high-quality curricula that address the changing needs of students, labor markets, and society as a whole. Substantial amounts of resources and enthusiasm are devoted to innovations, but often they do not yield the desired changes. This may be due to unworkable goals, too much complexity, and a lack of resources to institutionalize the innovation. In many cases, innovations end up being less sustainable than expected or hoped for. In the long term, the disappointing revenues of innovations hamper the ability of higher education to remain future proof. Against the background of this need to increase the success of educational innovations, our colleague Klaartje van Genugten has explored the literature on innovations to reveal mechanisms that contribute to the sustainability of innovations. Her findings are synthesized in this report. They are particularly meaningful for directors of education programs, curriculum committees, educational consultants, and policy makers, who are generally in charge of defining the scope and set up of innovations. Her report offers a comprehensive view and provides food for thought on how we can strive for future-proof and sustainable innovations. I therefore recommend reading this report.
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Dutch National Sports Organizations (NSFs) is currently experiencing financial pressures. Two indications for this are described in this paper i.e. increased competition in the sports sector and changes in subsidy division. Decreasing incomes from subsidies can be compensated with either increasing incomes from a commercial domain or increasing incomes from member contributions. This latter solution is gaining interest as a solution for the uncertainties. Many NSFs have therefore participated in a special marketing program in order to enlarge their marketing awareness and create a marketing strategy, in order to (re)win market share on the sports participation market and gain a more stable financial situation. This paper introduces my research related to the introduction of marketing techniques within NSFs and the change-over to become market oriented. An overview of existing literature about creating marketing strategies, their implementation, and market orientation is given. This outline makes obvious that the existing literature is not sufficient for studying the implementation of marketing techniques and market orientation within NSFs. Therefore, it shows the scientific relevance of my research. The paper concludes with the chosen research methodology.
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from the publisher's site: "The purpose of this paper is to investigate the nature of qualitative construction partnering research. Design/methodology/approach. In total, 20 qualitative peer-reviewed papers about construction partnering research are reviewed. Findings: The results show four methodological gaps. All identified gaps have in common that specific time and place dependent details that may have influenced understanding of studied individuals are underexposed. Research limitations/implications The main limitation of this study is that empirical-based papers are divided into either qualitative or quantitative research, but the boundary between those categories is not as black and white as it may look like in first instance." Marieke Venselaar, Hans Wamelink, (2017) "The nature of qualitative construction partnering research: literature review", Engineering, Construction and Architectural Management, Vol. 24 Issue: 6, pp.1092-1118, https://doi.org/10.1108/ECAM-04-2016-0098
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Background Anxiety and challenging behaviour (CB) often occur simultaneously in people with intellectual disabilities (ID). Understanding the associations between anxiety and CB may contribute to more accurate diagnoses and management of both anxiety and CB in this population. Aims To examine the relationship between anxiety and CB. Methods A literature review covering the period from January 2000 to January 2012. Results Seven studies about the relationship between psychiatric disorders, including anxiety, and CB were identified. These studies confirm the relationship between anxiety and CB in people with ID, although the precise nature of this relationship remains unclear. Conclusions The study points toward the existence of a moderate association between anxiety and CB. Further research is needed to clarify the complex nature of the association between anxiety and CB.
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Valuation judgement bias has been a research topic for several years due to its proclaimed effect on valuation accuracy. However, little is known on the emphasis of literature on judgement bias, with regard to, for instance, research methodologies, research context and robustness of research evidence. A synthesis of available research will establish consistency in the current knowledge base on valuer judgement, identify future research opportunities and support decision-making policy by educational and regulatory stakeholders how to cope with judgement bias. This article therefore, provides a systematic review of empirical research on real estate valuer judgement over the last 30 years. Based on a number of inclusion and exclusion criteria, we have systematically analysed 32 relevant papers on valuation judgement bias. Although we find some consistency in evidence, we also find the underlying research to be biased; the methodology adopted is dominated by a quantitative approach; research context is skewed by timing and origination; and research evidence seems fragmented and needs replication. In order to obtain a deeper understanding of valuation judgement processes and thus extend the current knowledge base, we advocate more use of qualitative research methods and scholars to adopt an interpretative paradigm when studying judgement behaviour.
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