131,314 research outputs found
D-0412-0426: Logan, Utah, Businesses: Kater shop, Cooks sewing machine Company, Royal Bakery, and a truck from Dunkley music
No full textD-0412-0426: Logan, Utah, Businesses: Kater shop, Cooks sewing machine Company, Royal Bakery, and a truck from Dunkley musi
Perfectionism and Daily Coping and Emotion Regulation Processes: A Waitlist Controlled Feasibility Trial of Two Explanatory Feedback Interventions
No full textOver the past three decades, perfectionism has received increasing theoretical and empirical attention as a cognitive-personality factor that increases vulnerability to a wide range of psychological problems, including depression and anxiety. Although mediators and moderators of the link between perfectionism and well-being have been identified, the direct clinical utility of these findings has not been a focus. The Perfectionism and Coping Processes Model - Explanatory Feedback Intervention (PCPM-EFI; Dunkley et al., 2023) draws on previous findings (Dunkley et al., 2017; Dunkley, Ma, et al., 2014; Dunkley, Mandel, et al., 2014; Dunkley et al., 2003) and individually analyzes participant responses to perfectionism measures and online daily questionnaires of stress, coping, and mood over 7 days. The EFI provides an individualized slideshow presentation that is delivered in a single 45-60 minute session by a student research assistant to address how stress and coping patterns trigger and maintain negative affect and (lower) positive affect in the participant’s daily life. We recently completed a waitlist controlled feasibility trial comparing the PCPM-EFI condition with a waitlist control condition over 4 weeks in 176 university students with higher SC perfectionism, with individualized feedback delivered one-on-one by student trainees in-person or remotely through videoconferencing (Dunkley et al., 2023). The feasibility of the individualized analyses of each participant’s daily data was supported by identifying daily trigger patterns, maintenance tendencies, strengths, common triggers, and best targets for reducing negative mood and increasing positive mood across several stressors for each participant. Participant ratings indicated that the comprehensive feedback was coherent and functional. Participants in the EFI condition, compared to those in the control condition, reported increases in empowerment, coping self-efficacy, and problem-focused coping, as well as decreases in depressive and anxious symptoms. Between-group effect sizes were moderate-to-large. There were reliable improvements in empowerment and depressive symptoms for 56% and 36%, respectively, of participants in the EFI condition. These findings demonstrate the broad applicability, conceptual utility, and effectiveness of the PCPM-EFI for self-critical perfectionistic individuals. Given these promising findings, research is needed to examine the utility of customizing daily emotion regulation findings, and the complementary effects of providing meaningful feedback on well-being.
The present study will build on the promising findings of the PCPM-EFI by using a 7-day daily diary methodology to test a complementary EFI on perfectionism and emotion regulation processes (e.g., self-compassion, mindfulness, experiential avoidance, rumination, reappraisal) delivered online through videoconferencing in a sample of university students with higher self-critical perfectionism. Based on our Perfectionism and Emotion Regulation Processes Model (PERPM), the PERPM-EFI follows the same structure as the PCPM-EFI to provide individualized analyses drawn from our previous findings (e.g., Dunkley et al., 2024; Moroz and Dunkley, 2019; Tobin and Dunkley, 2021, 2024). The results of a pilot study of 12 university students with higher SC perfectionism suggest that the PERPM-EFI is broadly applicable, conceptually useful, and effective. Specifically, despite the small sample size, participants reported increases in empowerment, mindfulness, self-compassion, and emotional self-awareness, as well as decreases in depressive and anxious symptoms. The present study will use a randomized control design to examine whether the PCPM-EFI plus PERPM-EFI can better improve well-being, relative to providing no feedback, the PERPM-EFI alone, or PCPM-EFI alone in the context of a 4-week longitudinal study with three time points in a sample of 180 university students. The four conditions will be: (a) waitlist control condition, (b) PCPM-EFI, (c) PERPM-EFI, and (d) PCPM-EFI plus PERPM-EFI. If the feedback interventions are shown to be efficacious, they could be offered to universities, work places, clinical settings, and other organizations
MeSH term explosion and author rank improve expert recommendations
No full textInformation 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
No full textThe 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"
No full textBoth 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
No full textWe 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
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
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