Objectives/Goals: Unsafe sleep practices contribute to sleep-related infant mortality, a leading cause of preventable sudden unexplained infant death (SUID). Infant illness represents a risk for SUID. However, the mechanism behind this increased risk is unknown. The objective of this study was to measure changes to safe sleep practices during infant illness. Methods/Study Population: We performed a prospective cohort survey study of infants aged 0–12 months presenting to the pediatric emergency department. We assessed sleep practices prior to illness, during illness, and 2 weeks and 1 month following illness. We assessed adherence to American Academy of Pediatrics safe sleep recommendations at each point in time. Wilcoxon sign rank test was used to examine changes between time points. Regression models compared caregivers who reported a change to unsafe sleep practices with those who did not. Results/Anticipated Results: Of enrolled participants (n = 142), 110 (77%) completed all three follow-up surveys. For those with complete follow-up, 62.4% were female, 60.3% were Black, non-Hispanic, 25.7% were White, non-Hispanic. The most common chief complaint was respiratory illness (35.7%), followed by fever (22.7%), and 70.3% of patients were discharged home. Across all sleep behaviors surveyed, caregivers reported, on average, a 12% change to unsafe sleep practices during illness. These changes were sustained at the 2-week and 1-month follow-ups. Factors associated with a change to unsafe sleep practice were parental age. Discussion/Significance of Impact: Over 10% of infants experienced a change to unsafe sleep practices during illness, sustained at 2-week and 1-month follow-ups. This may explain the association of infant illness with SUID. Interventions promoting safe sleep adherence during illness are key to decreasing sleep-related infant mortality.

Objectives/Goals: Academic research centers struggle to recruit and retain a diverse, competent clinical and translational science (CTS) workforce. The clinical research professional career pathway is particularly underrecognized among undergraduates, despite offering multiple career opportunities. Methods/Study Population: To address these challenges, two undergraduate outreach programs were developed. First, an undergraduate certificate program in CTS (UC-CTS) was designed to equip students with the skills and knowledge needed to enter the workforce immediately after graduation. Second, a “CTS Roadshow” was launched to build awareness of CTS careers within a variety of undergraduate programs and majors. In this recruitment initiative, principal investigators (PIs) and CRPs visit classrooms to share information about CTS career pathways and offer insights into the roles, responsibilities, and professional opportunities available in the field. Results/Anticipated Results: The UC-CTS program launched in Fall 2024 as a 12-credit certificate that includes two paid internships: one in patient care and one in research. Currently, the program has 5 students enrolled with an anticipated increase in enrollment to 20 students by Spring 2025. Similarly, the CTS Roadshow has reached an increasing number of students each year. Since its inception in Spring 2023, the CTS Roadshow has introduced over 750 undergraduates across 21 courses to CTS careers. The CTS Roadshow has engaged students from a variety of majors, including biology, psychology, medical sciences, legal, finance, accounting, and pre-health programs, increasing awareness of and interest in CTS careers. Discussion/Significance of Impact: Both programs aim to expose students to CTS careers early in their education, better preparing them for full-time CTS roles after graduation. A rise in qualified applicants pursuing CTS careers locally and regionally is expected, improving job satisfaction and retention through enhanced preparation for the career field.

Changing sea-ice conditions have significant societal impacts and implications across Alaska and the Arctic. This research examined the relationship between sea ice and extreme weather events with socio-economic impacts in Nome, Alaska (1990–2020), a community that has experienced notable changes in sea ice and impacts from extreme weather events. The research is based on the analysis of sea-ice concentrations from passive microwave data, socio-economic impacts of extreme weather events from an archival analysis of newspaper coverage, and an examination of the relationship between sea-ice concentrations and impacts. We found that sea-ice concentrations at the time of the reported socio-economic impacts were all characterised by ice-free conditions. Additionally, extreme events linked to socio-economic impacts occurred when sea-ice concentrations were at or below their historical (1979–2000) median for the day. Key implications for the observed increased probability of ice-free conditions in the autumn include a greater likelihood that a given coastal storm from November to mid-December may contribute to socio-economic impacts, which may have been mitigated by sea ice in the past, as well as an increased potential for impacts to occur when they have previously not been experienced.

Weekly cycles in emotion were examined by combining item response modeling and spectral analysis approaches in an analysis of 179 college students' reports of daily emotions experienced over 7 weeks. We addressed the measurement of emotion using an item response model. Spectral analysis and multilevel sinusoidal models were used to identify interindividual differences in intraindividual cyclic change. Simulations and incomplete data designs were used to examine how well this combination of analysis techniques might work when applied to other practical data problems. Empirically, we found systematic individual differences in the extent to which individuals' emotions follow a weekly cycle, and in how such cycles are exhibited. Weekly cycles accounted for very little variance in day to day emotions at the individual level. Analytically, we illustrate how measurement, change, and interindividual difference models from different traditions may be combined in a practical manner to describe some of the complexities of human behavior.

Countries frequently use health technology assessment (HTA) to set priorities for introducing new interventions or evaluating existing interventions; however, applying the tool effectively is heavily dependent on a country’s resources and capacity. Infrastructure and data, technical expertise, broad stakeholder involvement, and financial support are required to improve HTA processes. In the Asia-Pacific, HTAsiaLink was established to facilitate this practice, but strengthening and legitimizing this organization are needed to maximize its potential to support HTA institutionalization in the region. To realize this objective, HTAsiaLink can serve as a center of excellence while providing experiential learning and sharing information. As a learning hub, HTAsiaLink can share resources—particularly data—that can contribute to joint HTAs as done in the European Union and strengthen capacity in countries needing to develop their HTA expertise.

OBJECTIVES/GOALS: The goals of the present study were to examine levels and potential changes in oxytocin and HPL over the course of pregnancy. We assessed the potential predictive value of oxytocin and HPL on maternal-fetal attachment, anxiety and depression at three timepoints during pregnancy. METHODS/STUDY POPULATION: Pregnant women (n=70) enrolled in a longitudinal, rolling protocol study. Eligibility criteria included 1) singleton pregnancy confirmed at early pregnancy screen (EPS) ultrasonography, 2) mother aged 19 or greater, and 3) fluent in English. Predictors (oxytocin and HPL levels) were measured via blood draws at the same three times (early-stage, mid-stage, and late-stage) that MFA, anxiety and depression questionnaires were completed. RESULTS/ANTICIPATED RESULTS: An increased OT level compared to a mother’s average OT level did not have a statistically significant effect on MFA (within-person estimate = 0.02, 95% CI: -0.03 to 0.05, p = 0.427. An increased HPL level compared to a patient’s average HPL level did not have a statistically significant effect on MFA (within-person estimate = -0.10, 95% CI: -0.67 to 0.47, p = 0.730). The main effect of between-person HPL was significant; such that a one-unit increase in average HPL level was associated with a 0.52 higher anxiety score (between-person 95% CI: 0.08 to 0.96, p = 0.022). The main effect of between-person HPL was significant, such that an increased average HPL level was associated with a 0.45 higher depression score (between-person estimate = 0.45, 95% CI: 0.04 to 0.86, p=0.031). DISCUSSION/SIGNIFICANCE: To our knowledge, our study is the first to measure HPL and MFA over the course of a pregnancy. At this point, perhaps the best we can say is that HPL is a promising new target hormone that may be related to psychological symptoms surrounding pregnancy.

We review successes and challenges from five recent subglacial bedrock drilling campaigns intended to find evidence for Antarctic Ice Sheet retreat during warm periods in the geologic past. Insights into times when the polar ice sheets were smaller than present serve as guiding information for modeling efforts that aim to predict the rate and magnitude of future sea level rise that would accompany major retreat of the Antarctic Ice Sheet. One method to provide direct evidence for the timing of deglaciations and minimum extent of prior ice sheets is to extract subglacial bedrock cores for cosmogenic nuclide analysis from beneath the modern ice sheet surface. Here we summarize the lessons learned from five field seasons tasked with obtaining bedrock cores from shallow depths (<120 m beneath ice surface) across West Antarctica since 2016. We focus our findings on drilling efforts and technology and geophysical surveys with ground-penetrating radar. Shallow subglacial drilling provides a high risk, high reward means to test for past instabilities of the Antarctic Ice Sheet, and we highlight key challenges and solutions to increase the likelihood of success for future subglacial drilling efforts in polar regions.

In recent decades, the term “politics” has become almost synonymous with conflict. Results from eight studies show that individuals averse to conflict tend to select out of surveys and discussions explicitly labeled as “political.” This suggests that the inferences researchers draw from “political” surveys, as well as the impressions average Americans draw from explicitly “political” discussions, will be systematically biased toward conflict. We find little evidence that these effects can be attenuated by emphasizing deliberative norms. However, conflict averse individuals are more willing to discuss ostensibly political topics such as the economy, climate change, and racial inequality, despite reluctance to discuss “politics” explicitly. Moreover, they express greater interest in politics when it is defined in terms of laws and policies and debate is deemphasized. Overall, these findings suggest the expectation of conflict may have a self-fulfilling effect, as contexts deemed explicitly “political” will be composed primarily of conflict seekers.

The effects of maternal postpartum depression (PPD) on offspring emotion regulation (ER) are particularly deleterious as difficulties with ER predict an increased risk of psychopathology. This study examined the impact of maternal participation in a public health nurse (PHN)-delivered group cognitive behavioral therapy (CBT) intervention on infant ER. Mothers/birthing parents were ≥ 18 years old with an Edinburgh Postnatal Depression Scale (EPDS) score ≥ 10, and infants were < 12 months. Between 2017 and 2020, 141 mother–infant dyads were randomized to experimental or control groups. Infant ER was measured at baseline (T1) and nine weeks later (T2) using two neurophysiological measures (frontal alpha asymmetry (FAA) and high-frequency heart rate variability (HF-HRV)), and informant-report of infant temperament. Mothers were a mean of 30.8 years old (SD = 4.7), 92.3% were married/ common-law, and infants were a mean of 5.4 months old (SD = 2.9) and 52.1% were male. A statistically significant group-by-time interaction was found to predict change in HF-HRV between T1 and T2 (F(1,68.3) = 4.04, p = .04), but no significant interaction predicted change in FAA or temperament. Results suggest that PHN-delivered group CBT for PPD may lead to adaptive changes in a neurophysiological marker of infant ER, highlighting the importance of early maternal intervention.

We present results from a pitcher-catcher experiment utilizing a proton beam generated with nanostructured targets at a petawatt-class, short-pulse laser facility to induce proton-boron fusion reactions in a secondary target. A 45-fs laser pulse with either 400 nm wavelength and 7 J energy, or 800 nm and 14 J, and an intensity of up to 5 × 1021 W/cm2 was used to irradiate either thin foil targets or near-solid density, nanostructured targets made of boron nitride (BN) nanotubes. In particular, for 800 nm wavelength irradiation, a BN nanotube target created a proton beam with about five times higher maximum energy and about ten times more protons than a foil target. This proton beam was used to irradiate a thick plate made of boron nitride placed in close proximity to trigger 11B (p, α) 2α fusion reactions. A suite of diagnostics consisting of Thomson parabola ion spectrometers, postshot nuclear activation measurements, neutron time-of-flight detectors, and differentially filtered solid-state nuclear track detectors were used to measure both the primary proton spectrum and the fusion products. From the primary proton spectrum, we calculated (p, n) and (α,n) reactions in the catcher and compare with our measurements. The nuclear activation results agree quantitatively and neutron signals agree qualitatively with the calculations, giving confidence that primary particle distributions can be obtained from such measurements. These results provide new insights for measuring the ion distributions inside of proton-boron fusion targets.

Drill-interseeding cover crops into corn (Zea mays L.) is an emerging establishment method in northern U.S. production regions. However, cover crop performance in interseeded systems remains variable, and creating environments that are conducive to cover crop but not weed growth is challenging. Cultural practices that partition resources between corn and interseeded cover crops have potential to improve performance if weeds are adequately managed. This study evaluated interactions among corn hybrids differing in leaf architecture (upright, pendulum), corn row spacing (76 cm, 152 cm), and interseeding timing (V3, V6) on light transmittance, relative fitness of cover crop species (cereal rye [Secale cereale L.], annual ryegrass (Lolium multiflorum Lam), red clover [Trifolium pratense L.]) and weeds, and corn grain yield at three U.S. Northeast locations. Results showed that light transmittance through the corn canopy was greater in 152-cm row spacing compared with 76-cm row spacing at the V6 growth stage, with the magnitude of difference increasing at the V10 corn growth stage. Corn hybrids had a marginal effect on light transmittance. The effect of row spacing and interseeding timing on fall cover crop biomass varied across cover crop species and locations. In 76-cm rows, interseeding earlier (V3) increased cover crop biomass production. The relative fitness of cover crops was greater than that of weeds in each combination of cultural practices that included narrow spacing (76 cm), whereas the relative fitness of weeds was greater than that of cover crops when interseeding in wide rows (152 cm). The effect of row spacing on corn yield varied among locations, with higher yields observed in 76-cm row spacing compared with 152-cm at two of three locations. Our results show that interseeding early (V3) on 76-cm row spacing can balance cover crop and corn production management goals, while placing cover crops at a relative fitness advantage over weeds.