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"This book challenges pre-service and in-service educators to reflect critically on their assumptions and engage in praxis promoting racial and social equity. Grounded in policy contexts, historical understandings, and critical theories, this book describes innovative community engaged approaches to resisting racism and promoting equity and features reflections and personal narratives from partners in change - including on-the-ground activists, voices from younger and older generations, educators, and first-time writers. Fueled by the ideology of white supremacy for over four centuries that whites matter more than Blacks, the authors argue that racial inequities exacerbated during the Trump administration and the legacy of neo-liberal policies dating to the "New Federalism" fiercely necessitates invoking community-engaged strategies to advance equity. This book advocates for collaboration among schools, community organizations, businesses, university centers and community activists to address historically pressing issues, including systemic racism, declining educational opportunities, limited access to ongoing health care, and the decline of civility in public life"--

Risk management is a concept which has becomes very popular with a number of national and international businesses. Many companies often establish a risk management procedure in their projects for improving performance and increasing profits. Projects undertaken in the construction sector are widely complex, often having significant budgets; therefore, reducing risks associated with projects should be a priority for each project manager. Patient information security has become a matter of interest to healthcare professionals, governments and researchers worldwide. This paper proposes a comprehensive risk assessment methodology that provides a decision support tool, directed to a healthcare system, which can be utilized for evaluating risk involved during user authorization and authentication procedures. Within this context, a process technique was implemented to develop a risk assessment model, which is used to derive the relative priorities of the risk factors associated with a healthcare knowledge management system. The study showed risks involved when users are accessing a healthcare system. It proposes a model for assessing each risk occurring during the user authorization and authentication process. The results of the knowledge generated from the risk assessment provide a basis for deriving a system performance that is desirable for evaluating risk.

ABSTRACTIn most commercial applications of k‐means clustering, researchers choose one set of kseed points to start the partitioning process; often, the initial set of seeds is chosen randomly. Using Monte Carlo simulation, we show that significant benefits are associated with replicated starting configurations that incorporate seed selection procedures based on a hierarchical clustering of sample points drawn from the original data matrix. A real‐world application of the approach is then presented.