Racially and ethnically minoritized individuals, first-generation college students, and women are significantly underrepresented in science, technology, engineering, and mathematics (STEM) careers. This lack of equal representation limits creativity and progress in these fields and perpetuates systemic barriers that discourage students from pursuing STEM pathways. This special communication introduces the three-tiered mentorship model employed in the Teen Science Ambassador Program (TSAP), which incorporates senior mentors, near-peer mentors, and high school ambassadors (i.e., mentees) to promote education, hands-on research, and career development in STEM for underrepresented students. We discuss the benefits and challenges of the three-tiered model and offer recommendations for optimizing its effectiveness to enhance mentorship experiences for all participants. Findings from the TSAP program suggest that the three-tiered approach benefited all participants: high school ambassadors gained STEM skills and confidence, near-peer mentors developed leadership and communication abilities, and senior mentors improved mentorship skills. However, the effectiveness of near-peer mentorship is highly dependent on clearly defined roles and structured involvement. Thus, feedback collected from each mentorship tier was used to inform subsequent iterations of the program. The layered mentorship structure fostered a sense of community and belonging, which is crucial for retaining individuals from underrepresented groups in STEM.

This essay introduces a collection of five research articles that address how time becomes materialized, regimented, politicized, and phenomenologically experienced in diverse ethnographic settings. Against notions of time’s uniformity, we explore considerations of its relational nature in physics, linguistics, and anthropology. Temporal frameworks are not given but created, not unitary but multiple, and operate in degrees of lamination, synchrony, or dissonance. In colonial Papua New Guinea, the Ecuadorian and Brazilian Amazon, highland Bolivia, and South Korea, temporal frameworks serve as anchors to diverse social and political projects. These ethnographic accounts illuminate the dynamic and consequential nature of temporal semiosis.

We propose a hierarchical Bayesian model for analyzing multi-site experimental fMRI studies. Our method takes the hierarchical structure of the data (subjects are nested within sites, and there are multiple observations per subject) into account and allows for modeling between-site variation. Using posterior predictive model checking and model selection based on the deviance information criterion (DIC), we show that our model provides a good fit to the observed data by sharing information across the sites. We also propose a simple approach for evaluating the efficacy of the multi-site experiment by comparing the results to those that would be expected in hypothetical single-site experiments with the same sample size.

Inhabitants of Gurupá, a rural municipality in the Brazilian Amazon, routinely move between economic, social, and territorial systems that order community spheres, the Brazilian state apparatus, and global networks. Each of these comes encumbered with temporalities and spatialities that differentially parse space and time. Drawing upon my ethnographic fieldwork, I examine how chronotopes are made, and remade, in a place where community commitments are paramount. Through planning and calculation of urgency and priority, Gurupaenses make strategic choices to achieve calibration between Clockwork and community time. By waiting or leaving, hurrying or lingering, and by choosing the object, mode, and speed of motion, actors independently and communally “flex” time, constructing a Ragtime temporality in which some intervals are stretched and others compressed. In so doing, actors strategically navigate these theoretically incommensurable chronotopes, thus meeting immediate and long-term needs and attending to the social, economic, and political demands of both worlds.

In forced-choice questionnaires, respondents have to make choices between two or more items presented at the same time. Several IRT models have been developed to link respondent choices to underlying psychological attributes, including the recent MUPP (Stark et al. in Appl Psychol Meas 29:184–203, 2005) and Thurstonian IRT (Brown and Maydeu-Olivares in Educ Psychol Meas 71:460–502, 2011) models. In the present article, a common framework is proposed that describes forced-choice models along three axes: (1) the forced-choice format used; (2) the measurement model for the relationships between items and psychological attributes they measure; and (3) the decision model for choice behavior. Using the framework, fundamental properties of forced-choice measurement of individual differences are considered. It is shown that the scale origin for the attributes is generally identified in questionnaires using either unidimensional or multidimensional comparisons. Both dominance and ideal point models can be used to provide accurate forced-choice measurement; and the rules governing accurate person score estimation with these models are remarkably similar.

Representation scholarship has drawn from intersectionality theory 0to examine how systemic structures of oppression and privilege have created social groups with distinct political needs. Derived from Black feminist theory that recognizes that identities are mutually constitutive and interconnected, intersectionality research is rooted in the lived experiences of marginalized groups who call attention to social (in)justice. Empirical scholarship building on the insights of Black feminist theorists such as Collins and Bilge (2016), Hill Collins (1990), Crenshaw (1989; 1991), and King (1988) has constituted nothing less than a paradigm shift in the study of gender and politics. Nevertheless, there remain an array of opportunities to expand upon the potential for intersectional frameworks and methods, as well as pressing new questions concerning the operationalization of intersectionality itself. This Critical Perspectives section offers a moment to take stock of these developments and debates, as well as to highlight new pathways for scholarship committed to centering the margins and considering the nexus of multiple power structures that frame our political lives.

Armed conflict and forced displacement can significantly strain nurturing family environments, which are essential for child well-being. Yet, limited evidence exists on the effectiveness of family-systemic interventions in these contexts. We conducted a two-arm, single-masked, feasibility Randomised Controlled Trial (fRCT) of a whole-family intervention with Syrian, Iraqi and Jordanian families in Jordan. We aimed to determine the feasibility of intervention and study procedures to inform a fully-powered RCT. Eligible families were randomised to receive the Nurturing Families intervention or enhanced usual care (1:1). Masked assessors measured outcomes at baseline and endline; primary outcome measures were caregiver psychological distress, family functioning, and parenting practices. Families and implementing staff participated in qualitative interviews at endline. Of the 62 families screened, 60 (98%) were eligible, 97% completed the baseline and 90% completed the endline. Qualitative feedback indicated specific improvements in adolescent well-being, caregiver distress and parenting, and family relationships. Data highlighted high participant engagement and adequate facilitator fidelity and competence. Outcome measures had good psychometric properties (most α > 0.80) and sensitivity to change, with significant changes seen on most measures in the intervention but not control group. Findings indicate the acceptability and feasibility of intervention and study procedures. Subsequent full-scale evaluation is needed to determine effectiveness.

To investigate the symptoms of SARS-CoV-2 infection, their dynamics and their discriminatory power for the disease using longitudinally, prospectively collected information reported at the time of their occurrence. We have analysed data from a large phase 3 clinical UK COVID-19 vaccine trial. The alpha variant was the predominant strain. Participants were assessed for SARS-CoV-2 infection via nasal/throat PCR at recruitment, vaccination appointments, and when symptomatic. Statistical techniques were implemented to infer estimates representative of the UK population, accounting for multiple symptomatic episodes associated with one individual. An optimal diagnostic model for SARS-CoV-2 infection was derived. The 4-month prevalence of SARS-CoV-2 was 2.1%; increasing to 19.4% (16.0%–22.7%) in participants reporting loss of appetite and 31.9% (27.1%–36.8%) in those with anosmia/ageusia. The model identified anosmia and/or ageusia, fever, congestion, and cough to be significantly associated with SARS-CoV-2 infection. Symptoms’ dynamics were vastly different in the two groups; after a slow start peaking later and lasting longer in PCR+ participants, whilst exhibiting a consistent decline in PCR- participants, with, on average, fewer than 3 days of symptoms reported. Anosmia/ageusia peaked late in confirmed SARS-CoV-2 infection (day 12), indicating a low discrimination power for early disease diagnosis.

University students face vast mental health challenges, and both attitudinal and structural barriers to seeking care. Embedding interventions in college courses is one solution. Acceptance and commitment therapy (ACT) is an ideal candidate intervention given its emphasis on values, context, and skill building from a transdiagnostic perspective. This study embedded a brief ACT intervention in a required freshman seminar that was delivered by trained but unlicensed graduate students. In two class sessions of the freshman seminar taught by the same instructor, one session was randomly assigned to receive the course as usual, and one session received the ACT intervention. ACT content was delivered to all students in the intervention course on five consecutive weekly class periods. Students in both classes who chose to participate in the study completed assessments before and after the intervention and at follow-up. There were no significant changes with tests that were run, including non-parametric tests given the small sample sizes. Descriptively, the intervention group had slight improvements in wellbeing and mindfulness and decreases in distress, and the control group had worsened wellbeing, mindfulness and distress. A moderate portion of intervention group students enjoyed the intervention and indicated use of ACT skills, particularly mindfulness. Results suggest that this classroom-based intervention was feasible and acceptable, but further study should occur given small sample sizes. Future work should continue course-based ACT interventions, and should also explore potential applications of student training to deliver interventions given the shortage of mental health providers on college campuses.

Complex human–environmental processes form identifiable, lasting features on the landscape that can illuminate past human behavior and human–environment interactions. We examine the anthropogenic landscape of the ancient port of Macurany, located along the middle Amazon River in Parintins, Brazil, and identify four classes of anthropogenic landscape features at the site: wharfs, middens, terra preta (dark or black earths), and cultural forests. Middens, terra preta, and cultural forests have been found at archaeological sites in regions surrounding Macurany, but wharfs have not previously been reported in Amazonian contexts predating European contact. Taken together, these features are clearly the result of anthropogenesis and represent a range of subsistence, settlement, and infrastructure-building activities pointing to an ancient society that was actively engaged in modifying the surrounding landscape for purposes beyond settlement and subsistence. Evidence for a permanent, extensive, continuously settled society practicing intensive landscape engineering in this region of Amazonia reinforces findings of dense habitation, infrastructure, and early urbanization in Amazonia prior to European contact. This research helps expand our understanding of human–environment interactions, landscape formation processes, and settlement organization in ancient Amazonia.

OBJECTIVES/GOALS: Adolescence represents a critical period for substance use initiation. Various factors may contribute to trying a sip or single puff of a substance, that could lead to more frequent use. However, less is known about how predictors from multiple domains converge to impact risk for general substance use initiation. METHODS/STUDY POPULATION: The Adolescent Brain Cognitive Development (ABCD) study is a multi-site longitudinal study following youth into early adulthood. The present study included 7,644 ABCD children who reported no lifetime substance use (including any experimentation) at baseline (ages 9–10). Our primary aim was to use a random forest classification model to predict binary substance use initiation, defined as trying any non-prescribed substance (e.g., alcohol, tobacco, cannabis, non-prescribed medications), during a 2-year follow-up after baseline. A total of 402 variables from the following categories were examined as predictors: demographics, peer substance use and availability, mental and physical health, culture and environment, biospecimens, neurocognitive functioning, and structural neuroimaging variables. RESULTS/ANTICIPATED RESULTS: Over a two-year follow-up, 751 (9.8%) of substance-naïve children reported trying a substance by age 11. The most common substance was alcohol, followed by cannabis and tobacco. Mean Decrease Accuracy (MDA) values were used to assess the relative importance of each predictor. The overall accuracy of the model in accurately predicting group membership (no substance use initiation vs. substance use initiation) was 57.66%. Of the top 5 predictors, the most important predictor was intent to use alcohol (MDA = .002). The following top predictors were structural neuroimaging variables: volume and surface area of right lateral occipital lobe (MDA = .0009 and .0008, respectively), surface area of right inferior temporal lobe (MDA = .0007), and surface area of left superior frontal lobe (MDA = .0007). DISCUSSION/SIGNIFICANCE: A combination of intent to use alcohol and structural neuroimaging indices were among the top predictors of substance use initiation. Understanding predictors of early substance use experimentation is important for identifying at-risk youth that may require targeted intervention approaches.

Black women in elective office in the United States have demonstrated how descriptive representative transforms democratic institutions. This transformation is most evident in previously uncrystallized interests, those new to the agenda or not yet owned by specific political groups (Mansbridge 1999), articulated in legislative communication and action. For instance, Black maternal health is an issue that addresses the disproportionately poor health outcomes among Black women, who face systemic barriers to equitable care (Crear-Perry et al. 2021). Congresswoman Lauren Underwood’s (D-IL) 2021 Momnibus legislation included 12 bipartisan bills to address racial and ethnic disparities faced by mothers, children, and individuals who birth. Indeed, the creation of the Black Maternal Health Caucus (BMHC) demonstrates the legislative agency of Black women to form identity- and issue-based coalitions that suit the needs of Black women—needs often overlooked by Black men and white women.

In March 2018, the US Food and Drug Administration (FDA), US Centers for Disease Control and Prevention, California Department of Public Health, Los Angeles County Department of Public Health and Pennsylvania Department of Health initiated an investigation of an outbreak of Burkholderia cepacia complex (Bcc) infections. Sixty infections were identified in California, New Jersey, Pennsylvania, Maine, Nevada and Ohio. The infections were linked to a no-rinse cleansing foam product (NRCFP), produced by Manufacturer A, used for skin care of patients in healthcare settings. FDA inspected Manufacturer A's production facility (manufacturing site of over-the-counter drugs and cosmetics), reviewed production records and collected product and environmental samples for analysis. FDA's inspection found poor manufacturing practices. Analysis by pulsed-field gel electrophoresis confirmed a match between NRCFP samples and clinical isolates. Manufacturer A conducted extensive recalls, FDA issued a warning letter citing the manufacturer's inadequate manufacturing practices, and federal, state and local partners issued public communications to advise patients, pharmacies, other healthcare providers and healthcare facilities to stop using the recalled NRCFP. This investigation highlighted the importance of following appropriate manufacturing practices to minimize microbial contamination of cosmetic products, especially if intended for use in healthcare settings.

The duration of immunity after first severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the extent to which prior immunity prevents reinfection is uncertain and remains an important question within the context of new variants. This is a retrospective population-based matched observational study where we identified the first polymerase chain reaction (PCR) positive of primary SARS-CoV-2 infection case tests between 1 March 2020 and 30 September 2020. Each case was matched by age, sex, upper tier local authority of residence and testing route to one individual testing negative in the same week (controls) by PCR. After a 90-day pre-follow-up period for cases and controls, any subsequent positive tests up to 31 December 2020 and deaths within 28 days of testing positive were identified, this encompassed an essentially vaccine-free period. We used a conditional logistic regression to analyse the results. There were 517 870 individuals in the matched cohort with 2815 reinfection cases and 12 098 first infections. The protective effect of a prior SARS-CoV-2 PCR-positive episode was 78% (odds ratio (OR) 0.22, 0.21–0.23). Protection rose to 82% (OR 0.18, 0.17–0.19) after a sensitivity analysis excluded 933 individuals with a first test between March and May and a subsequent positive test between June and September 2020. Amongst individuals testing positive by PCR during follow-up, reinfection cases had 77% lower odds of symptoms at the second episode (adjusted OR 0.23, 0.20–0.26) and 45% lower odds of dying in the 28 days after reinfection (adjusted OR 0.55, 0.42–0.71). Prior SARS-CoV-2 infection offered protection against reinfection in this population. There was some evidence that reinfections increased with the alpha variant compared to the wild-type SARS-CoV-2 variant highlighting the importance of continued monitoring as new variants emerge.

This study aimed to explore the association between hyperglycemia in pregnancy (type 2 diabetes (T2D) and gestational diabetes mellitus (GDM)) and child developmental risk in Europid and Aboriginal women.

PANDORA is a longitudinal birth cohort recruited from a hyperglycemia in pregnancy register, and from normoglycemic women in antenatal clinics. The Wave 1 substudy included 308 children who completed developmental and behavioral screening between age 18 and 60 months. Developmental risk was assessed using the Ages and Stages Questionnaire (ASQ) or equivalent modified ASQ for use with Aboriginal children. Emotional and behavioral risk was assessed using the Strengths and Difficulties Questionnaire. Multivariable logistic regression was used to assess the association between developmental scores and explanatory variables, including maternal T2D in pregnancy or GDM.

After adjustment for ethnicity, maternal and child variables, and socioeconomic measures, maternal hyperglycemia was associated with increased developmental “concern” (defined as score ≥1 SD below mean) in the fine motor (T2D odds ratio (OR) 5.30, 95% CI 1.77–15.80; GDM OR 3.96, 95% CI 1.55–10.11) and problem-solving (T2D OR 2.71, 95% CI 1.05–6.98; GDM OR 2.54, 95% CI 1.17–5.54) domains, as well as increased “risk” (score ≥2 SD below mean) in at least one domain (T2D OR 5.33, 95% CI 1.85–15.39; GDM OR 4.86, 95% CI 1.95–12.10). Higher maternal education was associated with reduced concern in the problem-solving domain (OR 0.27, 95% CI 0.11–0.69) after adjustment for maternal hyperglycemia.

Maternal hyperglycemia is associated with increased developmental concern and may be a potential target for intervention so as to optimize developmental trajectories.