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Wind Symphony: April 25, 2025
No full textCenter for the Performing Arts
April 25, 2025
Friday Evening
8:00 p.m
[LELE] Measles and Mandates– What will happen if Florida repeals the MMR vaccine mandate?
No full textPredicting the peak bloom of Yoshino cherry blossoms in Washington, DC with random forest regression
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Modeling Deep-Shallow Mindset through Student-Instructor Interactions within the Classroom
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Modeling probiotic bacterial control of white-nose syndrome in little brown bat colonies
No full textAutism Is Black Too! Intersectional Experiences With Service Provision for Black Autistic Individuals and Their Families
No full textWe aimed to address a gap in the literature surrounding the experiences of Black autistic individuals and their families, specific to their engagement in the diagnostic process and service provision broadly. Our study was theoretically oriented in critical theories, as we aimed to push back against the dominant narrative about autism. We used qualitative methods and conducted interviews with Black autistic people (n = 2) and parents of Black autistic people (n = 9) to learn about their experiences. We employed an inductive approach to interpretation of data and used MAXQDA to engage in analysis. Results demonstrated that participants experienced several barriers to receiving care that are not only driven by the intersection of race and disability, as marginalization given gender, income, and location also surfaced as factors that have made access to services difficult. In the midst of these difficulties, participants also reflected on ways they found support and community and how they learned to be resilient. Implications for future research and practice are discussed, with specific attention paid to policy implications that may inform future practice
Automatic Identification and Visualization of Reaction Mechanisms Contained within Direct Dynamics Simulations
No full textDirect dynamics simulations are employed in many areas of chemistry and biochemistry. When paired with an appropriate underlying ab initio, semiempirical, or DFT-based potential energy surface and proper sampling of initial conditions, direct dynamics simulations provide an atomic-level view of the reaction dynamics within the system of interest, yielding considerable fundamental insights. Moreover, when a sufficient number of simulations are conducted, they provide a wealth of information regarding the overall trends in reactivity. However, they also generate large data sets that often require significant manual interpretation through inspection or developing case-specific analysis techniques. Here, we present an analysis method using a multitiered graph theory approach, which automatically highlights the most important mechanistic steps present within an ensemble of direct dynamics simulations. The effectiveness of this approach is demonstrated by examining results from three direct dynamics data sets previously reported for systems relevant to the tandem mass spectrometry community