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Grounded in Black feminist and critical race theories, legal scholar Kimberlé Crenshaw introduced the term \"intersectionality\" to the academy in 1989 to demonstrate how U.S. structures, such as the legal system, and discourses of resistance, such as feminism and anti-racism, often frame identities as isolated and mutually exclusive, resulting in the \"theoretical erasure\" of Black women who hold multiple minoritized identities. Since 1989, intersectionality has become a \"traveling theory,\" that has crossed into and influenced almost every academic discipline, including higher education. Through this study, we examined how researchers in higher education do and undo intersectionality and, subsequently, how intersectional analyses may advance a radical social justice agenda in higher education. To explore how scholars un/do intersectionality in higher education, we conducted a summative content analysis of 97 higher education articles that used the term \"intersectionality\" in some manner. The goal of the study was not to offer a prescriptive way to use intersectionality. In fact, theoretically musing over the precise way in which intersectionality should be done may confine the concept to an overly academic contemplative exercise and therefore, undo intersectionality. Instead, through this research, we aimed to explore and use intersectionality in a manner that advances a transformative social justice agenda.

Many higher education scholars, policy makers, and practitioners continue to ignore the intersections of race and gender when focusing on campus sexual assault (CSA) for the undergraduate student population. This race-evasive approach contributes to incomplete and inaccurate understandings about the ways Women of Color students experience CSA. Subsequently, race-evasive approaches often inform ineffective efforts to address and eradicate CSA for all campus populations, particularly for students with multiple minoritized identities. Guided by the concept of intersectionality, this research explores how intersecting systems of domination, specifically racism and sexism, influence 34 Women of Color undergraduate student survivors' experiences with CSA. Study findings demonstrate how an intersectional approach to CSA elicits information that guides more effective efforts to eradicate sexual assault.

The purpose of this research is to explore the experiences of Multiracial women college students in a manner that frustrates the privileged location of whiteness and its intersecting systems of domination in higher education. To work toward this purpose, whiteness as property and intersectionality are used as conceptual frameworks to explore how whiteness structures 10 Multiracial women students' social interactions at a HWI. This study focuses on whiteness in an attempt to center Multiracial students, disrupt the normalization of whiteness, and complicate a body of higher education literature that privileges racial identity as the primary way to understand human experience.

This research presents a deep learning approach to determine pineapple size from images, to identify the instances of pineapples, and subsequently to extract fruit dimensions. This was achieved by first detecting pineapples in each image using a Mask region-based convolutional neural network (Mask R-CNN), and then extracting the pixel diameter and length measurements and the projected areas from the detected mask outputs. Various Mask R-CNNs were considered for the task of pineapple detection. The best-performing detector (Model 4: COCO Fliplr Res50) made use of MS COCO star ting weights, a ResNet50 CNN backbone, and horizontal flipping data augmentation during the training process. This model achieved a validation AP@[0.5:0.05:0.95] of 0.914 and a test AP@[0.5:0.05:0.95] of 0.901, and was used to predict masks for an unseen data set containing images of pre-measured pineapples. The distributions of measurements extracted from the detected masks were compared to those of the manual measurements using two-sample Z-tests and Kolmogorov-Smirnov tests. There was sufficient similarity between the distributions, and it was therefore established that the repor ted method is appropriate for pineapple size determination in this context.

Using a racial microaggressions analytic framework and critical multiracial theory, this research explored multiracial campus professionals' experiences with multiracial microaggressions. Three themes were generated from the narratives of 24 multiracial campus professionals, including Denial of a Multiracial Reality, Assumption of a Monoracial Identity, and Not Monoracial Enough. This study adds to a dearth in research concerning the racialized experiences of campus professionals, a population within higher education that is under-researched, yet influential to the campus environment. The research expands the concept of racial microaggressions and racism by accounting for multiracial individuals' experiences with multiracial microaggressions, a form of everyday monoracism. While this study focuses on the narratives of multiracial professionals, participants' narratives have implications for all constituents working, living, and learning in postsecondary contexts.

Regular breakfast skipping is related to unhealthy dietary behaviours, such as consuming an overall poorer quality diet and lower rates of physical activity, both of which are linked to a higher BMI. Adolescent breakfast skippers struggle with mental focus, sleep issues and lower grades. Solutions that can be implemented to overcome breakfast skipping are needed. A systematic literature review was undertaken to identify programmes that aimed to increase breakfast eating. Following the PRISMA framework, studies were sourced to examine details of behaviour change, evidence of theory use and other important programme learnings and outcomes. Breakfast consumption empirical studies published from 2000 onwards. Nineteen empirical studies that aimed to improve breakfast eating behaviour. Out of the nineteen studies examined, ten studies reported an increase in breakfast consumption frequency for the entire study group or subgroups. Seven studies found no change, one was inconclusive and one observed a decrease in breakfast frequency. Positive changes to the dietary quality of breakfast were observed in five of the studies that did not observe increased frequency of breakfast consumption. Only six studies reported using theory in the intervention. This evidence review points needed to extend theory application to establish a reliable evidence base that can be followed by practitioners seeking to increase breakfast eating rates in their target population.

Using a critical race theory lens, we examined the racialized experiences of 29 Students of Color in HESA programs across the United States. Students' experiences illuminate 4 themes: educating white peers, invalidation of experiences and identity, racial stereotypes, and isolation. Participants' experiences illustrate a disconnect between HESA programs' espoused commitment to social justice and inclusion and the enactment of this commitment. Implications and recommendations for HESA program administrators, faculty, and assistantship supervisors are provided.

Researchers have explored how multiracial women students encounter different racialized experiences when compared to their monoracial peers and multiracial men on campus, suggesting that their experiences with racial stereotypes may also diverge from both of these populations. Guided by critical race theory, in this study I explored 10 multiracial women students' experiences with racial stereotypes at a historically White institution.

Background The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (QLQ-C30) is often used in cancer studies to assess patient reported quality of life over time. A number of challenges are faced when analysing scores derived from this questionnaire, and a multitude of statistical methods can be used. Whilst methods exist to overcome issues such as non-independence of repeated measurements and informative dropout, it is unclear how often these are implemented in practice. The aim of this scoping review was to comprehensively describe the statistical methods used to analyse longitudinal quality of life scores derived from the QLQ-C30 questionnaire. Methods Two databases, MEDLINE and Embase, were searched for randomised controlled trials and prospective observational studies presenting statistical analyses of QLQ-C30 scores collected over time. Only studies published in English between 1 January 2021 and 31 December 2022 were included. Studies not reporting the statistical methods used were excluded. A REDCap database was developed to store extracted information and results are presented as descriptive summaries. Results Two-hundred and seventy-one eligible studies were identified including 161 parallel group randomised controlled trials and 84 cohort studies. A linear mixed effects model was the most utilized analysis method, applied in 121/271 (45%) studies, followed by time to event analyses (54/271, 20%) and t-tests (44/271, 16%). Nearly one third of studies did not apply any longitudinal analysis method (82/271, 30%). Missing data due to death was accounted for in 23/271 (8%) studies. Statistical approaches did not differ greatly depending on the design of the study. Conclusions There is no current consensus on the statistical method to analyse repeated QLQ-C30 scores. Many studies continue to ignore the longitudinal structure of repeated measures data, which could impact the interpretation of the data and conclusions drawn.