1,721,119 research outputs found

    Two Sides of the AI Coin - Appendices

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    This online data collection consists of the appendices for a study that introduces the Net Labor Capacity (NLC) model to quantify how generative artificial intelligence (AI) simultaneously displaces and augments labor across U.S. occupations

    U.S. Occupational Conditions and Musculoskeletal Disorder (MSD) Incidence: Raw Data for Workplace Health Policy Research

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    This is a foundational, unprocessed data collection linking U.S. occupation-specific workplace conditions (e.g., exposure factors) to reported counts of Musculoskeletal Disorders (MSDs). The dataset is provided in its original, raw format and is intended to serve as a core resource for policy researchers, public health officials, and policymakers focused on improving workplace health. It specifically highlights the utility and potential of using raw surveillance data for informing Workplace Health Policy Research and practice related to occupational risk and safety. This data collection is uploaded to Texas State University Dataverse as a reference source and is not associated with a specific statistical analysis or study in its current form

    A Regression-Ready Data Collection: Occupational Conditions and Musculoskeletal Disorders Dummy Coded for Symptoms and Outcomes

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    This is an analytical data collection meticulously prepared for a regression analysis, specifically linking 43 U.S. occupational conditions to the incidence of Musculoskeletal Disorders (MSDs). The raw data was transformed into a regression-ready format by partitioning the information into sub-collections, applying a binary dummy code (0 or 1), and then recombining the data. This crucial step was performed to dummy code the MSDs for symptoms and outcomes, enabling their use as moderating variables in quantitative modeling. This collection directly supports the analysis and findings presented in the associated paper, titled: "Job-Related Determinants of Musculoskeletal Disorders in U.S. Occupations.

    Plataforma de interacción social y académica móvil

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    En este reporte se presenta la documentación técnica del trabajo terminal 2014-B044 titulado"Plataforma de interacción social y académica móvil",cuyo objetivo es analizar,diseñar,desarrollar e implementar una plataforma de interacción entre alumnos y profesores de la comunidad de la escuela superior de computo del instituto politécnico naciona

    Using Data Envelopment Analysis to Identify STEM Best Practices at High Performing Hispanic Serving Institutions

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    Sponsored by the National Science Foundation's Building Capacity in STEM Education Research (BCSER) Program (Award: 2125636), this data collection is the result of a two-year study using Data Envelopment Analysis (DEA) with data from the Integrated Postsecondary Education Data System (IPEDS) at the National Center for Education Statistics, to effectively measure the efficiency of Hispanic Serving Institutions (HSIs) graduating Hispanics with STEM degrees. The guiding research question was: On what input measures do we select efficient HSIs to serve other HSI institutions as possible benchmarks for program improvement in graduating Hispanics with STEM degrees

    E-Supplement: What is the Risk of Non-Steroidal Anti-Inflammatories to Old World Vultures? A Scoping Review to Inform a Risk Assessment.

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    Jimenez-Lopez, Omar; Ponder, Julia; Bueno, Irene; Nault, Andre J.. (2020). E-Supplement: What is the Risk of Non-Steroidal Anti-Inflammatories to Old World Vultures? A Scoping Review to Inform a Risk Assessment.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/211856

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    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
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