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    Society for Cinema and Media Studies' State of Fair Use Best Practices for media studies publishing

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    Cinema Journal 49, no. 4 (2010): 179-185.This Statement of Best Practices identifies what media scholars consider to be fair use of copyrighted works within media studies publishing in the United States. It provides a reference for media scholars to follow when considering whether or not their inclusion of media in a publication meets the standards of fair use. In 1993, the Society for Cinema and Media Studies (then the Society for Cinema Studies) issued a similar statement making the fair use argument for the scholarly use of film stills in publications. This document updates the 1993 statement to account for changes in media publishing and in copyright fair use analysis. The Statement identifies four categories in which fair use claims may be based when using copyrighted work in publication, while noting limits on those categories. It also identifies and debunks common fair use myths. This is a declaration of what the members of SCMS believe to be fair use in their academic field. Many of the principles below are widely applicable, but the document is intended to speak for and about media scholars and scholarship. It is important to remember that this document is only a set of general principles, designed to serve as a guide to authors, editors, and publishers

    Global Majority E-Journal, vol. 11, no. 1, June 2020

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    How Children’s Well-Being Reflects Government Choices and National Circumstances in the Democratic Republic of Congo and Rwanda - Kayla Benjamin; Struggling to Survive: Water Scarcity and Poor Sanitation in Colombia and Kenya - Morgan Bluma; Fighting for Equality: Analyzing Inequality in Rwanda and South Africa - Eleanor Dennehy; Closing the Gender Gap: Women’s Rights in Ethiopia and Mexico - Ain Wrigh

    Results from a cluster-randomized trial to evaluate a microfinance and peer health leadership intervention to prevent HIV and intimate partner violence among social networks of Tanzanian men

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    PLoS ONE, Volume 15, Issue 3, 2020, Article number e0230371.Despite calls to engage men in HIV and intimate partner violence (IPV) prevention efforts, effective approaches to reach and engage men in low-resource, high-HIV prevalence settings are limited. We identified and engaged social networks of mostly young men in a study designed to evaluate the efficacy of a combined microfinance and peer health leadership intervention to prevent HIV and IPV. We conducted a cluster-randomized trial among 60 social networks locally referred to as “camps” within Dar es Salaam, Tanzania. Camps were randomly assigned (1:1) to a microfinance and peer health leadership intervention or a control condition that received a brief delayed intervention after the study’s conclusion. Allocation was not masked to participants or researchers. Behavioral assessments were conducted at baseline and 30-months post-intervention launch, with biological samples drawn at 30-months to test for sexually-transmitted infections (STIs). Primary outcomes included prevalence of STIs and past-year IPV perpetration. Secondary outcomes included STI sexual risk behaviors and past-year HIV testing. Proximal intervention targets included inequitable gender norm attitudes and hope. A modified Poisson regression approach was used to estimate intention-to-treat intervention effects on outcomes assessed at the 30-month follow-up. We enrolled 1,258 men within 60 camps. Of these men, 1,029 (81.8%) completed the 30-month follow-up. There were no differences by condition in STI prevalence, IPV perpetration, or sexual risk behaviors at the 30-month follow-up. Intervention participants reported greater levels of past-year HIV testing, controlling for baseline testing (aRR 1.13 95% CI 1.005–1.28). They also reported significantly lower levels of inequitable gender norm attitudes (adjusted effect -0.11, 95% CI -0.21–0.003). We successfully engaged and retained social networks of men in this multilevel intervention study. While we did not see an effect on the primary outcomes, our intervention successfully improved HIV testing and reduced inequitable gender norm attitudes

    Learning on the job: the impact of job tenure and management strategies on nursing home performance

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    Administration and Society, Volume 52, Issue 4, 1 April 2020, Pages 593-630.This study investigates linear and nonlinear effects of job tenure on organizational performance and explores how administrators’ job tenure can moderate the relationship between three key managerial strategies—innovative management, participatory management, and external management—and performance. Using archival performance indicators available from the Centers for Medicare and Medicaid Services in combination with a recent survey of nursing home administrators, we find that job tenure has a linear and nonlinear relationship with two different performance dimensions, respectively. Also, more experienced managers are better able to manage external environments and share power internally to achieve better outcomes

    Marketing inclusion: a social justice project for diversity education

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    Journal of Marketing Education, Volume 42, Issue 1, 1 April 2020, Pages 59-75.Challenges related to marketplace diversity present an opportunity to prepare students to successfully engage with diversity through innovative curricular approaches. The present research develops a semester-long course project designed to enhance students’ awareness and understanding of diversity and inclusion issues from a social justice perspective. We discuss the context of diversity issues in business schools and identify key issues affecting marketing educators. Our review of the pedagogical literature on diversity highlights the importance of a social justice orientation. Social cognitive theory is used as a conceptual framework to guide the design of a problem-based experiential project. We detail project implementation and assess evidence regarding the impact of the project. Findings suggest an experiential, problem-based class project can support students understanding of diversity from a social justice perspective. We discuss the project benefits and challenges and highlight pedagogical issues for educators who want to integrate diversity content into a broad array of marketing courses

    Foil Strain Gauges Consisting of Carbon Nanotube Yarns: Fabrication and Mechanical Response under Cyclic Loading

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    Foil strain gauges consisting of carbon nanotube yarns as the piezoresistive sensingelement have been developed. An experimental program was carried out to fabricate foil strain gauges using carbon nanotube yarns. An experimental program for mechanically and electrically characterizing the fabricated strain gauges was created and carried out. Initially, various configurations were designed, and a few prototypes were fabricated following various techniques. The piezoresistive response of these strain gauge prototypes was then determined under a variety of loading patterns including cyclic loading at various maximum strains, strain rates, and pause lengths. The piezoresistive response of these prototypes was then correlated to the strain response from the commercial foil strain gauge. Using these testing parameters, the fabricated foil strain gauges could then be characterized and compared to each other. The study found that the fabricated foil strain gauges were responsive to the applied load. Though imperfectly made, the first prototype with no grooves responded well at the displacement rate of 1 mm/min. Adding a 5-minute pause between cycles at this speed improved the results. The strain gauge’s response at the displacement rate of 100 microns/min was poor and adding pauses between cycles only worsened the response. The second prototype with grooves yielded better results especially at the slower displacement rates. At 100 microns/min, the fabricated gauge’s behavior was much better, though the gauge factor was still low. The behavior at 200 microns/min and 1 mm/min were similar with both yielding excellent result.Mechanical engineeringMechanical EngineeringDegree Awarded: M.M.E. Mechanical Engineering. The Catholic University of Americ

    Diagnostic Classification and Prognostic Prediction of Alzheimer’s Disease Using Machine Learning Based on Neuropsychological and Cognitive Test Data

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    Alzheimer’s disease (AD) is a neurodegenerative disease typically affecting the elderly population. Recent advances in neuropsychological tests, as well as the utilization of data collected via cognitive tasks undertaken with computational methods such as machine learning (ML) provide promising opportunities to assist in the early detection of AD.This dissertation develops several computational methods including both conventional ML algorithms and artificial neural networks (ANNs) for early AD detection and differentiation between different stages of clinical presentation of AD. The proposed solutions built on behavioral data from several standard neuropsychological tests, a double cue spatial inhibition of return (IOR) task, or both combined. Data from the Georgetown University Medical Center and a public database from the Alzheimer's Disease Neuroimaging Initiative (ADNI) were used to train and test the models developed in this dissertation.The methodological contributions include investigate and compare different ML algorithms and deep learning (DL) approaches to classify different cognitive groups using standard neuropsychological tests and/or a simple 5-minute cognitive task. Cognitive groups are formed based on the stage of illness, ranging from cognitively normal (CN) to mild cognitive impairment (MCI) to AD. In addition, identifying the MCI individuals at risk of progression is important for clinical management. Another main contribution of this dissertation is to develop a lightweight DL architecture, multilayer perceptron (MLP), to predict the probability of converting from MCI-to-AD within a 3-year follow-up period. The comprehensive results presented in this dissertation demonstrate that the 5-minute cognitive task could produce critical data that is useful in diagnosing MCI/AD either alone or together with neuropsychological data. In particular, MLP with a combination of summarized scores from neuropsychological tests and the spatial (IOR) task achieved ~90% sensitivity, ~92% specificity, and ~92 accuracy%. This indicates its status as an ideal task in clinical practice to be administered to individuals with dementia. Combining features from different standard neuropsychological tests provides elevated performance results compared to a single test using MLP networks. The classification results across different cognitive group pair ranges between ~90% - ~99% for sensitivity, ~89% - ~100% for specificity, and ~90% - ~99% for accuracy, indicating good potential to assist in early AD diagnosis. ANNs demonstrate strong predictive performance in diagnostic classification compared to conventional ML. This indicates the potential for DL to assist early diagnosis across different cognitive groups using the standard neuropsychological tests and/or the simple 5-minute cognitive task.Computer scienceElectrical Engineering and Computer ScienceDegree Awarded: Ph.D. Electrical Engineering and Computer Science. The Catholic University of Americ

    Innovative Approaches to Ethical Cataloging Practices

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    Neither library records nor librarians are impartial. George Mason University Metadata Services is seeking ways to collaboratively engage in ethical and conscious cataloging and metadata practices with three local initiatives: 1) Reparative description: In collaboration with the Special Collections Research Center, we are creating workflows to evaluate and repair statements, titles, and subject headings in the catalog and finding aids that contain harmful terminology; 2) Local name authority record policy: Understanding creators are also our patrons, we created a local Name Authority Record Policy which recognizes our power and responsibility, and is mindful of privacy and safety, especially those of transgender authors and zine artists; 3) Task force for Ethical & Anti-oppressive Metadata (TEAM): Ethical metadata work requires cross-departmental collaboration and record maintenance in different bibliographic systems. To respond to these challenges, we are working in a flexible, collaborative framework by documenting and sharing local changes.A presentation that was delivered online in the Thirteenth Annual Symposium, "Bridging the Spectrum: A Symposium on Scholarship and Practice in Library and Information Science" at the Catholic University of America in 2021

    Sick enough?: mental illness and service eligibility for homeless individuals at the border

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    Social Sciences, Volume 9, Issue 8, August 2020, Article number 145, Pages 1-23.This paper measures mental illness among individuals experiencing homelessness in a border city and compares it to the general housed population. We use original data from a homeless survey conducted in El Paso, Texas. Respondents self-reported any possible mental illness or related symptoms. We find that mental illness is not disproportionally common among the homeless, yet this is something that is often claimed by laypersons, some social service workers, and some researchers that limit sampling to institutionalized settings where formal mental illness is often among the prerequisites for admission. We find that “severe mental illness” among homeless persons is 6.2% (only around 2–3% higher than the general population), and “any mental illness” is 20.8% (only 1–3% higher than in the general population). Our results are consistent with other research focusing on street samples

    Resurrecting a Hidden Treasure: The Rare Books Room at the Dominican House of Studies

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    The Rare Books Room at the Dominican Theological Library contains a wealth of resources that, sadly, remain unknown to many of the library’s patrons and unfamiliar to its staff. My ongoing project aims to increase exposure of the library’s rare and special collections via a three-pronged approach that addresses the needs of staff, students, and the wider community. My presentation will focus mainly on phase one, which uses statistical analysis and network mapping to create a visual snapshot of the collections that can identify correlations between subject matter and other metadata points, in order to familiarize staff with the collections. I will also discuss my plans for the completion of phases two and three, which will produce research guides to support student research and a digital exhibit to engage the wider community. Finally, I will touch on the benefits of using a three-pronged approach to bolster rare books usage

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