This study examines the Advocates & Allies Program, a men faculty peer-to-peer professional development program designed to disrupt gender inequities in academia. The pedagogical approach is grounded in a grassroots-based critical analysis, was developed at a public land grant university, and has been introduced at over twenty additional higher education institutions. Data from five universities and two professional association conferences are included in this study. Results of this mixed methods case analysis illustrate why academic men may be motivated to engage in gender equity work; findings also confirm that the program increases participants' knowledge of unconscious bias and its impacts, prepares men with tools to enact change, and enhances personal commitment to gender equity, thereby affirming and extending the existing knowledgebase on effective allyship. The data suggest that the approach is an effective transformative model of intellectual activism that could be adopted by a wider sphere of academic institutions.
The purpose of this column is to describe the process of application and selection for fellowship in the Fellows of the American Academy of Nurse Practitioners (FAANP). Fellows are invited and selected based on their accomplishments in four priority areas: research, practice, education, and policy. Based on the 10-year history of the FAANP, current members provide guidance for potential applicants on the steps necessary for making a successful application.
ABS TRAC TMany applications utilize short-gate pulse-Doppler schemes to extract velocity information, such as a blood vessel's velocity profile. Advances in signal processing hard ware permit software gating to replace traditional hardware gating. Although software gating can be advantageous, the added computational complexity hinders real-time opera tion, which is clinically desirable. Thus, high-resolution, real-time operation requires efficient algorithms for data processing.This paper develops a modified Goertzel structure for efficient real-time blood velocity profile estimation. When compared with traditional computational methods, this modified structure offers significant advantages with regard to memory, number of operations, and latency of estima tion. Simulations are provided to demonstrate algorithm effectiveness.
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