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Shale and Family Through the Boom and Bust: Shale Employment’s Impact on Marriage, Divorce, and CohabitationShepard, Michael 15 August 2018 (has links)
No description available.
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How effective will a BRT system going to be in Santiago de Chile? Case studiesRamirez-Bernal, Maria Fernanda 23 April 2008 (has links)
No description available.
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Implementation of Appropriate Technology to Treat Drinking Water in Rural TanzaniaPumphrey, Sarah Irene 19 September 2008 (has links)
No description available.
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Urban Agriculture / Community Gardening: Starting and Maintaining Successful ProgramsBal, Sucheta 17 July 2009 (has links)
No description available.
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Demographic Characteristics and Trauma Symptomology in Juvenile Justice Residents at Echo Glen Children's CenterBergan, Britta L. 15 August 2016 (has links)
No description available.
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A Hurricane Specific Risk Assessment of the United States' Gulf Coast CountiesStripling, Caitlin January 2016 (has links)
No description available.
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Modeling Poverty Dynamics in Moderate-Poverty Neighborhoods: A Multi-Level ApproachRen, Chunhui 16 December 2011 (has links)
No description available.
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Assessing the Opinions of Ohio School Board Members about HIV/AIDS Policy and Curriculum: Developing an Approach to Raise Awareness of HIV/AIDS Related Educational IssuesHickey, Deitra Jamra 18 June 2009 (has links)
No description available.
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When Being Special Ain't So Special: Educator Race and Gender as Predictors of Black and Latino Male Special Education ReferralsRevels-Turner, Courtney c. 26 September 2022 (has links)
No description available.
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Exploring cybercrime victimization among Swedish adults : A cross-sectional study on prevalence and risk factorsAl Salek, Aous January 2024 (has links)
Cybercrime victimization is a pervasive and evolving threat in the digital age, necessitating a comprehensive understanding of its underlying dynamics and risk factors. This cross-sectional study explores the prevalence and risk factors of cybercrime victimization among Swedish adults, drawing insights from a diverse sample of 384 participants. The study examines demographic characteristics, educational backgrounds, financial circumstances, computer skills, protective measures, and victimization experiences through a combination of descriptive statistics, Fisher’s Exact Test, and logistic regression analysis. Key findings reveal significant correlations between gender, age, education level, income, computer skills, protective measures, and specific types of cybercrime victimization. Malware infection emerges as the most prevalent form of victimization, followed by sexual harassment, hacking, general harassment, and fraud. The study highlights the complex interplay between socioeconomic factors and victimization risk, and emphasizes the need for tailored interventions to enhance digital resilience and mitigate cybervictimization threats among Swedish adults. Future research directions include conducting larger-scale studies, exploring the effectiveness of protective measures, investigating polyvictimization, and examining age-related differences in cybercrime vulnerability.
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