177,668 research outputs found
Unfairness and health: evidence from the Whitehall II study
No full textOBJECTIVE: To examine the effects of unfairness on incident coronary events and health functioning.
DESIGN: Prospective cohort study. Unfairness, sociodemographics, established coronary risk factors (high serum cholesterol, hypertension, obesity, exercise, smoking and alcohol consumption) and other psychosocial work characteristics (job strain, effort-reward imbalance and organisational justice) were measured at baseline. Associations between unfairness and incident coronary events and health functioning were determined over an average follow-up of 10.9 years.
PARTICIPANTS: 5726 men and 2572 women from 20 civil service departments in London (the Whitehall II Study). MAIN OUTCOME MEASURES: Incident fatal coronary heart disease, non-fatal myocardial infarction and angina (528 events) and health functioning.
RESULTS: Low employment grade is strongly associated with unfairness. Participants reporting higher levels of unfairness are more likely to experience an incident coronary event (HR 1.55, 95% CI 1.11 to 2.17), after adjustment for age, gender, employment grade, established coronary risk factors and other work-related psychosocial characteristics. Unfairness is also associated with poor physical (OR 1.46, 95% CI 1.20 to 1.77) and mental (OR 1.54, 95% CI 1.19 to 1.99) functioning at follow-up, controlling for all other factors and health functioning at baseline. CONCLUSIONS: Unfairness is an independent predictor of increased coronary events and impaired health functioning. Further research is needed to disentangle the effects of unfairness from other psychosocial constructs and to investigate the societal, relational and biological mechanisms that may underlie its associations with health and heart disease
p300 Is an Obligate Integrator of Combinatorial Transcription Factor Inputs. Ferrie et. al.
No full textThis dataset contains representative movies from the Fluorescence Recovery After Photobleaching (FRAP) and Single Molecule Tracking (SMT) experiments along with the unaltered Western Blot images and ChIP-seq data from Ferrie, J. J., Karr, J. P., Graham, T. G. W., Dailey, G. M., Zhang, G., Tjian, R., and Darzacq, X. "p300 is an Obligate Integrator of Combinatorial Transcription Factor Inputs."THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
SOTL Journeys with Professor Jo Edson Ferrie
No full textIn this episode we hear from Professor Jo Edson Ferrie on her journey from PHD student to R&T track to professor on the LTS track. Jo shares fantastic insight and advice and talks about a scholarship project on the impact of emotions.
Have a read at the link below. Full article: ‘To be honest, it’s complicated’: training postgraduate students to work with emotions in qualitative research
SoTL Journeys
Presenters: Eilidh Soussi, Lynn Currie
Guests: Jo Ferrie
Editorial team: Eilidh Soussi, Lynn Currie, Marie McQuade and Alison McCandlish
Graphics: Alison McCandlish
Jingle: Alison McCandlish (GarageBand mix/ original recording
Haploids and doubled haploids in Brassica spp. for genetic and genomic research
No full textThe availability of a highly efficient and reliable microspore culture protocol for many Brassica species makes this system useful for studying basic and applied research questions. Microspores and microspore-derived embryos are ideal targets for modification by mutagenesis and transformation. Regenerated doubled haploid plants are widely used in breeding programs and in genetic studies. Furthermore, the Brassica microspore culture system allows the identification of genomic regions and genes involved in the microspore embryogenic response, spontaneous diploidization and direct embryo to plant conversion. This review summarizes current achievements and discusses future perpectives.Peer reviewed: YesNRC publication: Ye
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
"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.
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
Letter from R. R. Zellick, Assistant Trust Officer, Anglo California National Bank of San Francisco, to Joseph R. Goodman, October 2, 1942
No full textLetter from R. R. Zellick, Assistant Trust Officer at The Anglo California National Bank of San Francisco, to Joseph R. Goodman, regarding property owned by Dave Tatsuno. Zellick mentions a dispute between current tenants and Tatsuno, and that Tatsuno has asked Goodman to help locate trustworthy tenants.Personal correspondence, organizational records, government documents, publications, and other papers created or collected by Joseph R. Goodman documenting the forced removal and incarceration of Japanese Americans during World War II, as well as organized resistance to incarceration. Included in the collection are records of the Japanese Young Men's Christian Association and the Japanese American Citizens' League in San Francisco, including papers of the Japanese YMCA's executive secretary Lincoln Kanai; Sakai family papers; Goodman's correspondence to and from Japanese American incarcerees, organizations opposing forced removal and incarceration of Japanese Americans, the War Relocation Authority, and others; publications, photographs, and ephemera from the Topaz Relocation Center, where Goodman taught high school; War Relocation Authority records and publications; and newspaper clippings, pamphlets, and reports about forced removal and incarceration created by various government, religious, and civic organizations, in California and nationwide
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
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