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This blended pilot-empirical and theoretical manuscript documents a reflective journey undertaken by a group of early childhood teacher educators located across different regions of the United States as they examined their course design, materials, and syllabi construction. Grounded in reflective practice, intersectionality, and critical pedagogy, their collaborative endeavor necessitated profound self-examination and recognition of oppressive structures inherent within the field and reproduced throughout course syllabi, thereby perpetuating societal inequities inside and outside the classroom context. Their iterative, evolving effort resembled a reflective consultation group, marked by continuous self-reflection, challenging assumptions, and transforming actions, vividly portrayed in their vignettes.

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Summary: With the increased reliance on multi-omics data for bulk and single cell analyses, the availability of robust approaches to perform unsupervised learning for clustering, visualization, and feature selection is imperative. We introduce nipalsMCIA, an implementation of multiple co-inertia analysis (MCIA) for joint dimensionality reduction that solves the objective function using an extension to Non-linear Iterative Partial Least Squares (NIPALS). We applied nipalsMCIA to both bulk and single cell datasets and observed significant speed-up over other implementations for data with a large sample size and/or feature dimension.

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Purpose/objective: People often view individuals with disabilities as incapable of working, contributing to society, and forming relationships. Therefore, it is important to develop interventions to reduce those negative stereotypes. Increasing accurate disability representation is one way to counteract those stereotypes.

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Unlabelled: Interpretation of images and spatial relationships is essential in medicine, but the evidence base on how to assess these skills is sparse. Thirty medical students were randomized into two groups (A and B), and invited to "think aloud" while completing 14 histology MCQs. All students answered six identical MCQs, three with only text and three requiring image interpretation.

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