1,600 research outputs found

    Academic Library and Publisher Collaboration: Utilizing an Institutional Repository to Maximize the Visibility and Impact of Articles by University Authors

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    The George A. Smathers Libraries (Libraries) (http://www.uflib.ufl.edu/) at the University of Florida (UF) (http://www.ufl.edu/) and Elsevier (http://www.elsevier.com) have embarked on a pilot project to maximize visibility, impact, and dissemination of articles by UF researchers who have published in Elsevier journals. Article links and metadata are automatically delivered to UF’s Institutional Repository, the IR@UF (http://ufdc.ufl.edu/ir), in the IR@UF-Elsevier Collection (http://ufdc.ufl.edu/ielsevier). The metadata, with links for approximately 31,000 articles by UF authors, is made possible through integration of the IR@UF with the ScienceDirect application programming interfaces (APIs) (https://www.elsevier.com/solutions/sciencedirect/support/institutional-repository) that are freely available to libraries. Access to the full text on ScienceDirect is available for all institutional repository users affiliated with a subscribing institution. In the next phase users without subscriptions will be able to access the manuscripts of articles published from 2013 forward. This will be done by embedding metadata and links to accepted manuscripts available on ScienceDirect into the IR@UF. We will conduct user and usability testing of this cross-platform user experience. This article provides an overview of the project’s current status, how it works, what it delivers, and next steps expanding the project to include articles by UF authors from other publishers. It concludes with strategic considerations, future developments, and reflections on the value of library/publisher collaboration

    Modeling Kelvin wave cascades in superfluid helium

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    We study two different types of simplified models for Kelvin wave turbulence on quantized vortex lines in superfluids near zero temperature. Our first model is obtained from a truncated expansion of the Local Induction Approximation (Truncated-LIA) and it is shown to possess the same scalings and the essential behaviour as the full Biot-Savart model, being much simpler than the later and, therefore, more amenable to theoretical and numerical investigations. The Truncated-LIA model supports six-wave interactions and dual cascades, which are clearly demonstrated via the direct numerical simulation of this model in the present paper. In particular, our simulations confirm presence of the weak turbulence regime and the theoretically predicted spectra for the direct energy cascade and the inverse wave action cascade. The second type of model we study, the Differential Approximation Model (DAM), takes a further drastic simplification by assuming locality of interactions in k-space via using a differential closure that preserves the main scalings of the Kelvin wave dynamics. DAMs are even more amenable to study and they form a useful tool by providing simple analytical solutions in the cases when extra physical effects are present, e.g. forcing by reconnections, friction dissipation and phonon radiation. We study these models numerically and test their theoretical predictions, in particular the formation of the stationary spectra, and closeness of numerics for the higher-order DAM to the analytical predictions for the lower-order DAM

    How to achieve true integration: the impact of Integrated Marketing Communication on the Client/Agency Relationship

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    Reports from the advertising industry suggest that the pressure to create effective integrated campaigns across the ever-increasing mix of paid, owned and earned media is putting an enormous strain on client/agency relationships. This research identifies the main challenges that an Integrated Marketing Communication (IMC) approach places on this relationship and thereby advances the IMC literature by examining the practical challenges of implementation. Six key issues, developed from academic and industry sources, are presented to advertising experts, through a Delphi study, to stimulate debate and identify areas of agreement. The findings are brought together in a model which presents three main areas that need to be addressed, along with specific recommendations. These topics include the need for clients to provide stronger leadership in defining agency roles and responsibilities, more transparent remuneration systems to encourage teamwork across agencies as well as individual input and an increased emphasis on the strategic contribution from agencies

    Translation urgency in our climate-challenged times : co-producing geographical knowledge on El Niño in Peru

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    This paper was developed as part of the Leverhulme award MRF-2022-065. Fieldwork was supported by AHRC grants (AH/T004444/1AH, AH/V012215/1) and exchange activities (2023) by the Scottish Alliance for Geoscience, Environment and Society (SAGES).This paper makes a case for revisiting the understandings of translation to enhance the co-production of geographical knowledge on climate change. Specifically, it offers insights about the potential role that schoolteachers and students can have as knowledge producers in relation to climate change by drawing on a case study of collaborative research on El Niño in Sechura, northern Peru. We call for researchers to pay greater attention to how co-production can be achieved through the integration of research agendas and practice with curricula development and innovation in school education. We contribute to work on how a generational shift in understanding about climate adaptation can be achieved through exploring communities’ knowledge of the lesser-known opportunities of the El Niño phenomenon in northern desert regions. We conclude by arguing that revisiting how geography engages in and with translation is an urgent priority in climate-challenged times.Peer reviewe

    Comparability of neuraminidase inhibition antibody titers measured by enzyme-linked lectin assay (ELLA) for the analysis of influenza vaccine immunogenicity

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    AbstractNeuraminidase-inhibition (NI) antibody titers can be used to evaluate the immunogenicity of inactivated influenza vaccines and have provided evidence of serologic cross-reactivity between seasonal and pandemic H1N1 viruses. The traditional thiobarbituric acid assay is impractical for large serologic analyses, and therefore many laboratories use an enzyme-linked lectin assay (ELLA) to determine serum NI antibody titers. The comparability of ELLA NI antibody titers when measured in different laboratories was unknown. Here we report a study conducted through the Consortium for the Standardisation of Influenza SeroEpidemiology (CONSISE) to evaluate the variability of the ELLA. NI antibody titers of a set of 12 samples were measured against both N1 and N2 neuraminidase antigens in 3 independent assays by each of 23 laboratories. For a sample repeated in the same assay, ≥96% of N1 and N2 assays had less than a 4-fold difference in titer. Comparison of the titers measured in assays conducted on 3 different days in the same laboratory showed that a four-fold difference in titer was uncommon. Titers of the same sera measured in different laboratories spanned 3 to 6 two-fold dilutions (i.e., 8–64 fold difference in titer), with an average percent geometric coefficient of variation (%GCV) of 112 and 82% against N1 and N2 antigens, respectively. The difference in titer as indicated by fold range and %GCV was improved by normalizing the NI titers to a standard that was included in each assay. This study identified background signal and the amount of antigen in the assay as critical factors that influence titer, providing important information toward development of a consensus ELLA protocol

    Exercise training induces depot-specific adaptations to white and brown adipose tissue

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    Exercise affects whole-body metabolism through adaptations to various tissues, including adipose tissue (AT). Recent studies investigated exercise-induced adaptations to AT, focusing on inguinal white adipose tissue (WAT), perigonadal WAT, and interscapular brown adipose tissue (iBAT). Although these AT depots play important roles in metabolism, they account for only ∼50% of the AT mass in a mouse. Here, we investigated the effects of 3 weeks of exercise training on all 14 AT depots. Exercise induced depot-specific effects in genes involved in mitochondrial activity, glucose metabolism, and fatty acid uptake and oxidation in each adipose tissue (AT) depot. These data demonstrate that exercise training results in unique responses in each AT depot; identifying the depot-specific adaptations to AT in response to exercise is essential to determine how AT contributes to the overall beneficial effect of exercise11425439This work was supported by National Institutes of Health grants R01-HL138738 and K01-DK105109 (to K.I.S.), R01-DK099511 (to L.J.G.), and 5P30 DK36836 (Joslin Diabetes Center DRC). The authors thank Nathan Makarewicz for editorial contribution

    Associations Between \u3cem\u3eSLC16A11\u3c/em\u3e Variants and Diabetes in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

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    Five sequence variants in SLC16A11 (rs117767867, rs13342692, rs13342232, rs75418188, and rs75493593), which occur in two non-reference haplotypes, were recently shown to be associated with diabetes in Mexicans from the SIGMA consortium. We aimed to determine whether these previous findings would replicate in the HCHS/SOL Mexican origin group and whether genotypic effects were similar in other HCHS/SOL groups. We analyzed these five variants in 2492 diabetes cases and 5236 controls from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), which includes U.S. participants from six diverse background groups (Mainland groups: Mexican, Central American, and South American; and Caribbean groups: Puerto Rican, Cuban, and Dominican). We estimated the SNP-diabetes association in the six groups and in the combined sample. We found that the risk alleles occur in two non-reference haplotypes in HCHS/SOL, as in the SIGMA Mexicans. The haplotype frequencies were very similar between SIGMA Mexicans and the HCHS/SOL Mainland groups, but different in the Caribbean groups. The SLC16A11 sequence variants were significantly associated with risk for diabetes in the Mexican origin group (P = 0.025), replicating the SIGMA findings. However, these variants were not significantly associated with diabetes in a combined analysis of all groups, although the power to detect such effects was 85% (assuming homogeneity of effects among the groups). Additional analyses performed separately in each of the five non-Mexican origin groups were not significant. We also analyzed (1) exclusion of young controls and, (2) SNP by BMI interactions, but neither was significant in the HCHS/SOL data. The previously reported effects of SLC16A11 variants on diabetes in Mexican samples was replicated in a large Mexican-American sample, but these effects were not significant in five non-Mexican Hispanic/Latino groups sampled from U.S. populations. Lack of replication in the HCHS/SOL non-Mexicans, and in the entire HCHS/SOL sample combined may represent underlying genetic heterogeneity. These results indicate a need for future genetic research to consider heterogeneity of the Hispanic/Latino population in the assessment of disease risk, but add to the evidence suggesting SLC16A11 as a potential therapeutic target for type 2 diabetes
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