125,019 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Vitamin B-12 deficiency stimulates osteoclastogenesis via increased homocysteine and methylmalonic acid
The risk of nutrient deficiencies increases with age in our modern Western society, and vitamin B(12) deficiency is especially prevalent in the elderly and causes increased homocysteine (Hcy) and methylmalonic acid (MMA) levels. These three factors have been recognized as risk factors for reduced bone mineral density and increased fracture risk, though mechanistic evidence is still lacking. In the present study, we investigated the influence of B(12), Hcy, and MMA on differentiation and activity of bone cells. B(12) deficiency did not affect the onset of osteoblast differentiation, maturation, matrix mineralization, or adipocyte differentiation from human mesenchymal stem cells (hMSCs). B(12) deficiency caused an increase in the secretion of Hcy and MMA into the culture medium by osteoblasts, but Hcy and MMA appeared to have no effect on hMSC osteoblast differentiation. We further studied the effect of B(12), Hcy, and MMA on the formation of multinucleated tartrate-resistant acid phosphatase-positive osteoclasts from mouse bone marrow. We observed that B(12) did not show an effect on osteoclastogenesis. However, Hcy as well as MMA were found to induce osteoclastogenesis in a dose-dependent manner. On the basis of these results, we conclude that B(12) deficiency may lead to decreased bone mass by increased osteoclast formation due to increased MMA and Hcy levels
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Handling incomplete heterogeneous data using VAEs.
Variational autoencoders (VAEs), as well as other generative models, have been shown to be efficient and accurate for capturing the latent structure of vast amounts of complex high-dimensional data. However, existing VAEs can still not directly handle data that are heterogenous (mixed continuous and discrete) or incomplete (with missing data at random), which is indeed common in real-world applications.
In this paper, we propose a general framework to design VAEs suitable for fitting incomplete heterogenous data. The proposed HI-VAE includes likelihood models for real-valued, positive real valued, interval, categorical, ordinal and count data, and allows accurate estimation (and potentially imputation) of missing data. Furthermore, HI-VAE presents competitive predictive performance in supervised tasks, outperforming supervised models when trained on incomplete data
Embracing humanity in the face of death: Why do existential concerns moderate ingroup humanization?
Full data and questionnaire files of the article "Embracing humanity in the face of death: Why do existential concerns moderate ingroup humanization?" authored by Vaes, J., Bain, P.G., and Bastian, B. and published in the Journal of Social Psychology
The STEMOOV model as a practical tool to improve STEM education: a pilot study.
Science, Technology, Engineering and Mathematics (STEM) education occupies an important position in equipping students with 21st century skills, which are essential for dealing with the complexity of the rapid socio-cultural and economic evolutions. However, educational institutions are struggling with providing qualitative STEM education.
Therefore, the STEMOOV model was developed: a practice-based tool providing guidance for teachers and students to increase the integration of scientific disciplines and to strengthen these 21st century skills. Even though the STEMOOV model is increasingly being deployed, the efficacy and the results of the use of the model have not been tested before. Consequently, the aim of this study is to investigate the first experiences of pre-service teachers who will develop an interdisciplinary STEM project, and students who will carry out this project, both by means of the STEMOOV model. Exploratory data will be obtained after the execution of the project through a closed ended questionnaire and will be clarified by focus group interviews with several groups of students and pre-service teachers. Data will be thematically analysed and a member check will be performed to increase the reliability. This pilot study will determine future research to improve the applicability of the STEMOOV model in the classroom.
Extended summary
Society has been undergoing a multitude of socio-cultural, economic and environmental evolutions. In order to equip students with a contemporary and continuously evolving set of so-called “21st century skills”, a tailored and multidisciplinary approach in education is required. The scientific basis of many of these evolutions emphasises the importance of Science, Technology, Engineering and Mathematics (STEM) education, teaching students to solve real-world, ill-structured, multidisciplinary problems (Yildrim, 2016).
However, higher and secondary educational institutions are experiencing difficulties with providing qualitative STEM education (Margot & Kettler, 2019; Stohlmann, Moore & Roehrig, 2012). Decent STEM education is often impeded by factors resulting from traditional learning methods, such as students lacking motivation and self-conscience, achievement differences between student subgroups and an active role of the instructor resulting in a passive attitude of the students
Pragmatic Case Studies as a Source of Unity in Applied Psychology
To unify or not to unify applied psychology: that is the question. In this article we review pendulum swings in the historical efforts to answer this question—from a comprehensive, positivist, “top-down,” deductive yes between the 1930s and the early 60s, to a postmodern no since then. A rationale and proposal for a limited, “bottom-up,” inductive yes in applied psychology is then presented, employing a case-based paradigm that integrates both positivist and postmodern themes and components. This paradigm is labeled “pragmatic psychology” and, its specific use of case studies, the “Pragmatic Case Study Method” (“PCS Method”). We call for the creation of peer-reviewed journal-databases of pragmatic case studies as a foundational source of unifying applied knowledge in our discipline. As one example, the potential of the PCS Method for unifying different angles of theoretical regard is illustrated in an area of applied psychology, psychotherapy, via the case of Mrs. B. The article then turns to the broader historical and epistemological arguments for the unifying nature of the PCS Method in both applied and basic psychology.Peer reviewe
Dr. Edwin Wright Collection: Author Unknown
Notes - The author relates several short stories about his neighbours including Alex McDonell, homesteading and life around Meanook and Athabasca (1 page
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Understanding the impact of frontline service technologies in healthcare on patient well-being
Abstract
The rise of frontline service technologies (FSTs) in healthcare is fueled by the ‘Triple Aim’, which is based on three interrelated aims: (1) improved population health, (2) reduced costs, and (3) better patient experiences (Bodenheimer & Sinsky, 2014). However, it remains ambiguous whether and how FSTs impact patients’ well-being. The importance of well-being can be explained in several ways. First, customers prefer service providers that treat them as individuals with unique needs instead of as part of the target group (Falter & Hadwich, 2020). Second, well-being is related to decreased illness, enhanced quality of life, and a higher level of profitability for organizations (Robertson & Flint-Taylor, 2010). Third, well-being can be actively managed (Chen et al., 2021). Fourth, it is a generalizable outcome measure across groups and over time (Lee et al., 2013).
Therefore, and consistent with recent calls (Ostrom et al., 2021), this study aims to understand if and how FSTs impact patients’ well-being. Following the hedonic perspective, well-being involves positive and negative emotions and life satisfaction (Heady & Wearing, 1991). This well-being perspective is chosen for three key reasons. First, hedonic well-being is a malleable state rather than a trait (La Placa et al., 2013). Second, its measurement can be adapted to capture context-specific idiosyncrasies (Page & Vella-Brodrick, 2009). Third, hedonic well-being refers to the subjective experience of pleasure irrespective of its source (Waterman et al., 2010).
Conceptually, this research starts from the Job Demands-Resources (JD-R) model (Demerouti et al., 2001), which hypothesizes that environmental characteristics (i.e., demands and resources) influence well-being via motivation and strain. The JD-R model’s relevance is four-fold. First, to capture the customer’s active role in services, Groth (2005) underscores the value of management theories. Second, it leads to a balanced understanding of well-being creation due to including positive and negative effects. Third, the model’s structure ensures that well-being is captured as an outcome and as a well-being co
creation process (Chen et al., 2021). The empirical part consists of a mixed-method (i.e., interviews, diaries, storyboards, questionnaires) multi-sample (i.e., patients, caregivers) approach, which is currently being executed.
This research provides at least four contributions. First, this study is the first to offer a rigorous empirical assessment of whether FST infusion impacts patient well-being. Second, the adopted balanced view on well-being leads to novel insights into key Transformative Service Research questions. Third, by studying technology usage from the perspective of the individual-level psychological process, we also extend existing theoretical models from the technology acceptance literature. Fourth, the results provide a basis for evidence-based, tailor-made FST decision-making
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