131,029 research outputs found
Making use of expertise: A qualitative analysis of the experience of breastfeeding support for first time mothers
There is now a body of research evaluating breastfeeding interventions and exploring mothers’ and health professionals’ views on effective and ineffective breastfeeding support. However, this literature leaves relatively unexplored a number of questions about how breastfeeding women experience and make sense of their relationships with those trained to provide breastfeeding support. The present study collected qualitative data from 22 breastfeeding first-time mothers in the UK on their experiences of, and orientation towards, relationships with maternity care professionals and other breastfeeding advisors. The data were obtained from interviews and audio-diaries at two time points during the first five weeks post-partum. We discuss a key theme within the data of ‘Making use of expertise’ and three subthemes which capture the way in which the women’s orientation towards those assumed to have breastfeeding expertise varied according to whether the women (i) adopted a position of consulting experts versus one of deferring to feeding authorities (ii) experienced difficulty interpreting their own and their baby’s bodies and (iii) experienced the expertise of health workers as empowering or disempowering. Although sometimes mothers felt empowered by aligning themselves with the scientific approach and ‘normalising gaze’ of healthcare professionals, at other times this gaze could be experienced as objectifying and diminishing. The merits and limitations of a person-centred approach to breastfeeding support are discussed in relation to using breastfeeding expertise in an empowering rather than disempowering way
Some Properties of Generalized Euler Numbers
We define infinitely many sequences of integers one sequence for each positive integer k ≦ 2 by(1.1)where are the k-th roots of unity and (E(k))n is replaced by En(k) after multiplying out. An immediate consequence of (1.1) is(1.2)Therefore, we are interested in numbers of the form Esk(k) (s = 0, 1, 2, …; k = 2, 3, …).Some special cases have been considered in the literature. For k = 2, we obtain the Euler numbers (see e.g. [8]). The case k = 3 is considered briefly by D. H. Lehmer [7], and the case k = 4 by Leeming [6] and Carlitz ([1]and [2]).</jats:p
Managing shame: An interpersonal perspective
Experiences of shame are often difficult to manage, not least because of their interpersonal implications. However, limited research attention has been paid to the management and repair of shame, and in particular to the role that social factors may play in this. We aimed to explore these issues by obtaining 50 written first-person accounts of experiences of managing difficult episodes of shame from a cross section of students and employees at a British university. These participant-generated narrative accounts were supplemented by written answers to open-ended questions. Via a contextual constructionist thematic analysis, three overarching themes were identified: The centrality of others’ evaluations of the self; Repositioning the self vis-à-vis others, and Being disabled by shame. Discussion focuses on the first two of these themes which together suggest that because the participants saw their shame as produced in interaction with others, effective management and repair of shame depended not just on a changed view of the self but on a repositioning of the self in relation to others. This analysis therefore suggests that repair of shame may often need to be mutually negotiated and as such provides support for theoretical approaches to shame which emphasize the centrality of others’ actual or perceived judgements of the self
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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
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