Connectedness and the Sociopolitical Involvement of Same-Gender-Loving Black Men

Employing a national sample of over 800 same-gender-loving black men, we explore the relative impact of community-level support/comfort and the importance of sexual orientation and racial identity on two dependent variables—sociopolitical involvement within lesbian, gay, bisexual, and transgender (LGBT) communities and sociopolitical involvement within people of color (POC) communities. Findings indicate that feelings of connectedness to LBGT communities is the most important predictor of sociopolitical involvement within both LGBT and POC communities; while, counterintuitively, being comfortable within the LGBT community had a negative impact on the sociopolitical involvement of these men. Further, the impact of the importance of identity was negligible

Feelings of Belonging: An Exploratory Analysis of the Sociopolitical Involvement of Black, Latina, and Asian/Pacific Islander Sexual Minority Women

This article compares and contrasts the sociopolitical involvement of Black, Latina, and Asian/Pacific Islander American sexual minority women within lesbian, gay, bisexual, and transgender (LGBT) communities of color. For the analysis, a sample of over 1,200 women from the Social Justice Sexuality project was analyzed. Findings indicate that, for all groups of women, feelings of connectedness to the LGBT community was the most significant predictor of sociopolitical involvement within LGBT communities of color

Refugee Higher Education & Participatory Action Research Methods: Lessons Learned From the Field

Refugee access to higher education is devastatingly low. Recognizing the complex barriers facing refugee learners, global educational initiatives are innovating flexible learning models which promote blended online and in-person learning modalities. This article describes the implementation of a five month, online-based internship pilot offered to 21 refugee participants in qualitative and quantitative research methods, through a participatory action research (PAR) framework in five different countries -- Malawi, Kenya, South Africa, Rwanda, and Lebanon. The internship is part of the Global Education Movement (GEM), which brings refugees accredited online college degree and career development opportunities. Through direct engagement, observation of the internship and feedback from staff and participants, we highlight the ways in which the PAR model can serve as a dynamic learning approach to engage refugees in research practice and an evaluative tool of the GEM program. While the use of online learning presented several clear advantages, such as engaging multiple GEM sites simultaneously or insulating students from delayed studies due to the Coronavirus pandemic, it also revealed variations in student competencies across program sites. In this article, we review the GEM PAR internship, its lessons learned and propose recommendations for future programming

Mathematics identity and achievement among Black students

Employing data from the National Center of Educational Statistics’ (NCES) High School Longitudinal Study (HSLS) and utilizing critical race theory and intersectionality as theoretical frameworks, this article interrogates the relationship between mathematics identity and math success for a nationwide sample of Black secondary school students. More specifically, hierarchical regression modeling is employed to examine the relative impact of math identity, demographic variables, and school/parent social capital variables on the math grade point averages of this sample. The article ends with a discussion of specific steps for teaching mathematics that put the identity of those from traditionally marginalized communities at the center of mathematics instruction. Thus making experiences, histories, culture, and abilities essential elements of students’ learning, that are to be supported and built upon

Relationships between sports, physical activity participation, and Phys-Ed GPA: Results and analyses from a national sample of Asian American students

Relationships among sports, physical activity (PA) participation, and educational outcomes have been studied in various venues, however, used a longitudinal method with a national sample of Asian-American High-School Students (AAHSS) was barely covered. This study employed the latest National High-School Longitudinal Study data (Participants, N = 950); hierarchical regression modeling and intersectionality theory examined, analyzed, and evaluated the relationships among sports, PA participation, and the outcomes on the physical education grade point average (Phys-Ed GPA). Moreover, the demographics factors impact on the participants\u27 Phys-Ed GPA was also analyzed and evaluated. The primary results included: 1) the female students who participate in Organized Sports had a higher Phys-Ed GPA, and that relationship was true for male students with the exception that this relationship is not statistically significant once demographic variables are added to the model. 2) Hours Spent on Extracurricular Activities had no effect on Phys-Ed GPA for both male and female students. 3) The impact of Academic Behavior was positive and robust, that is, to female and male participants, the higher the Academic Behavior the higher the Phys-Ed GPA. 4) Having Pride in one’s school had a positive relationship with the Phys-Ed GPA for the female students; however, no significant effect for the male students; and etc. Our findings confirmed and reinforced the importance of participating in sports and PA in fostering positive attitude toward which resulting better Phys-Ed GPA, and other educational outcomes for the AsianAmerican high school students. Our investigation further explains the importance of redistributing social structures in order to create equal educational opportunities for Asian American communities and their children, all of these may provide meaningful information or a scientific basis for the policymakers to make future policy

Conformance test cases for the RDF mapping language (RML)

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Detailed plan for the COMET WP3 initial research activity - list of research projects and goals, participants and timing

Detailed plan for the COMET Work Package (WP) 3

Quantification of amyloid PET for future clinical use: a state-of-the-art review

Amyloid-β (Aβ) pathology is one of the earliest detectable brain changes in Alzheimer's disease (AD) pathogenesis. The overall load and spatial distribution of brain Aβ can be determined in vivo using positron emission tomography (PET), for which three fluorine-18 labelled radiotracers have been approved for clinical use. In clinical practice, trained readers will categorise scans as either Aβ positive or negative, based on visual inspection. Diagnostic decisions are often based on these reads and patient selection for clinical trials is increasingly guided by amyloid status. However, tracer deposition in the grey matter as a function of amyloid load is an inherently continuous process, which is not sufficiently appreciated through binary cut-offs alone. State-of-the-art methods for amyloid PET quantification can generate tracer-independent measures of Aβ burden. Recent research has shown the ability of these quantitative measures to highlight pathological changes at the earliest stages of the AD continuum and generate more sensitive thresholds, as well as improving diagnostic confidence around established binary cut-offs. With the recent FDA approval of aducanumab and more candidate drugs on the horizon, early identification of amyloid burden using quantitative measures is critical for enrolling appropriate subjects to help establish the optimal window for therapeutic intervention and secondary prevention. In addition, quantitative amyloid measurements are used for treatment response monitoring in clinical trials. In clinical settings, large multi-centre studies have shown that amyloid PET results change both diagnosis and patient management and that quantification can accurately predict rates of cognitive decline. Whether these changes in management reflect an improvement in clinical outcomes is yet to be determined and further validation work is required to establish the utility of quantification for supporting treatment endpoint decisions. In this state-of-the-art review, several tools and measures available for amyloid PET quantification are summarised and discussed. Use of these methods is growing both clinically and in the research domain. Concurrently, there is a duty of care to the wider dementia community to increase visibility and understanding of these methods

Quantification of amyloid PET for future clinical use: a state-of-the-art review

Amyloid-β (Aβ) pathology is one of the earliest detectable brain changes in Alzheimer's disease (AD) pathogenesis. The overall load and spatial distribution of brain Aβ can be determined in vivo using positron emission tomography (PET), for which three fluorine-18 labelled radiotracers have been approved for clinical use. In clinical practice, trained readers will categorise scans as either Aβ positive or negative, based on visual inspection. Diagnostic decisions are often based on these reads and patient selection for clinical trials is increasingly guided by amyloid status. However, tracer deposition in the grey matter as a function of amyloid load is an inherently continuous process, which is not sufficiently appreciated through binary cut-offs alone. State-of-the-art methods for amyloid PET quantification can generate tracer-independent measures of Aβ burden. Recent research has shown the ability of these quantitative measures to highlight pathological changes at the earliest stages of the AD continuum and generate more sensitive thresholds, as well as improving diagnostic confidence around established binary cut-offs. With the recent FDA approval of aducanumab and more candidate drugs on the horizon, early identification of amyloid burden using quantitative measures is critical for enrolling appropriate subjects to help establish the optimal window for therapeutic intervention and secondary prevention. In addition, quantitative amyloid measurements are used for treatment response monitoring in clinical trials. In clinical settings, large multi-centre studies have shown that amyloid PET results change both diagnosis and patient management and that quantification can accurately predict rates of cognitive decline. Whether these changes in management reflect an improvement in clinical outcomes is yet to be determined and further validation work is required to establish the utility of quantification for supporting treatment endpoint decisions. In this state-of-the-art review, several tools and measures available for amyloid PET quantification are summarised and discussed. Use of these methods is growing both clinically and in the research domain. Concurrently, there is a duty of care to the wider dementia community to increase visibility and understanding of these methods