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Abstract Background Cervicovaginal inflammation has been linked to negative reproductive health outcomes including the acquisition of HIV, other sexually transmitted infections, and cervical carcinogenesis. While changes to the vaginal microbiome have been linked to genital inflammation, the molecular relationships between the functional components of the microbiome with cervical immunology in the reproductive tract are understudied, limiting our understanding of mucosal biology that may be important for reproductive health. Results In this study, we used a multi’-omics approach to profile cervicovaginal samples collected from 43 Canadian women to characterize host, immune, functional microbiome, and metabolome features of cervicovaginal inflammation. We demonstrate that inflammation is associated with lower amounts of L. crispatus and higher levels of cervical antigen-presenting cells (APCs). Proteomic analysis showed an upregulation of pathways related to neutrophil degranulation, complement, and leukocyte migration, with lower levels of cornified envelope and cell-cell adherens junctions. Functional microbiome analysis showed reductions in carbohydrate metabolism and lactic acid, with increases in xanthine and other metabolites. Bayesian network analysis linked L. crispatus with glycolytic and nucleotide metabolism, succinate and xanthine, and epithelial proteins SCEL and IVL as major molecular features associated with pro-inflammatory cytokines and increased APCs. Conclusions This study identified key molecular and immunological relationships with cervicovaginal inflammation, including higher APCs, bacterial metabolism, and proteome alterations that underlie inflammation. As APCs are involved in HIV transmission, parturition, and cervical cancer progression, further studies are needed to explore the interactions between these cells, bacterial metabolism, mucosal immunity, and their relationship to reproductive health. Video Abstract

Abstract “In what circumstances would you want this AI to make decisions on your behalf?” We have been investigating how to enable a user of an Artificial Intelligence‐powered system to answer questions like this through a series of empirical studies, a group of which we summarize here. We began the series by (a) comparing four explanation configurations of saliency explanations and/or reward explanations. From this study we learned that, although some configurations had significant strengths, no one configuration was a clear “winner.” This result led us to hypothesize that one reason for the low success rates Explainable AI (XAI) research has in enabling users to create a coherent mental model is that the AI itself does not have a coherent model. This hypothesis led us to (b) build a model‐based agent, to compare explaining it with explaining a model‐free agent. Our results were encouraging, but we then realized that participants' cognitive energy was being sapped by having to create not only a mental model, but also a process by which to create that mental model. This realization led us to (c) create such a process (which we term After‐Action Review for AI or “AAR/AI”) for them, integrate it into the explanation environment, and compare participants' success with AAR/AI scaffolding vs without it. Our AAR/AI studies' results showed that AAR/AI participants were more effective assessing the AI than non‐AAR/AI participants, with significantly better precision and significantly better recall at finding the AI's reasoning flaws.

Background: Minimally invasive hysterectomy is generally preferable to abdominal hysterectomy. The technicity index (TI) is the proportion of hysterectomies performed by minimally invasive surgery. Many centers globally have started to audit local TI as a quality indicator, but only a handful have published their results to help define international standards of care. Objective: In this study, TI was examined in Winnipeg and Canada to determine consistency between local and national patterns of practice, audit expected changes, and contribute to the growing body of literature defining international standards of care. Methods: A retrospective cross-sectional database review of hysterectomies performed in the Winnipeg Regional Health Authority (WRHA) from 2008 to 2015 was conducted. Mixed effects linear regression models were generated primarily to analyze TI and account for surgeon and hospital characteristics. The Canadian Institute for Health Information (CIHI) database was accessed to estimate the average national TI from 2009 to 2014. One-sample t tests compared annual WRHA and CIHI TI. Results: In Winnipeg, 1363±32 hysterectomies were performed annually for all indications with an average TI of 34% independent of time (P=0.09). The CIHI database recorded approximately 27 000 hysterectomies annually with increasing TI (41%-52%, 3.5±1.8%/year, P=0.025). WRHA TI differed from national TI every year (P Conclusion: Over the study period, WRHA TI was below the Canadian average and static despite national increases. The importance of local audits to identify underperformance and stimulate initiatives for quality improvement is highlighted in this study.

What if "regular" Computer Science (CS) faculty each taught elements of inclusive design in "regular" CS courses across an undergraduate curriculum? Would it affect the CS program's climate and inclusiveness to diverse students? Would it improve retention? Would students learn less CS? Would they actually learn any inclusive design? To answer these questions, we conducted a year-long Action Research investigation, in which 13 CS faculty integrated elements of inclusive design into 44 CS/IT offerings across a 4-year curriculum. The 613 affected students' educational work products, grades, and/or climate questionnaire responses revealed significant improvements in students' course outcomes (higher course grades and fewer course fails/incompletes/withdrawals), especially for marginalized groups; revealed that most students did learn and apply inclusive design concepts to their CS activities; and revealed that inclusion and teamwork in the courses significantly improved. These results suggest a new pathway for significantly improving students' retention, their knowledge and usage of inclusive design, and their experiences across CS education--for marginalized groups and for all students.