The body of scientific knowledge accumulated by the scholarly disciplines such as Developmental Psychopathology can achieve meaningful public impact if wielded and used in policy decision-making. Scientific study of how policymakers use research evidence underscores the need for researchers’ policy engagement; however, barriers in the academy create conditions in which there is a need for infrastructure that increases the feasibility of researchers’ partnership with policymakers. This need led to the development of the Research-to-Policy Collaboration model, a systematic approach for developing “boundary spanning” infrastructure, which has been experimentally tested and shown to improve policymakers’ use of research evidence and bolster researchers’ policy skills and engagement. This paper presents original research regarding the optimization of the RPC model, which sought to better serve and engage scholars across the globe. Trial findings shed light on ways to improve conditions that make good use of researchers’ time for policy engagement via a virtual platform and enhanced e-communications. Future directions, implications, and practical guidelines for how scientists can engage in the political process and improve the impact of a collective discipline are also discussed.

Invasive plants in the riparian zone can negatively affect the characteristics and quality of a watershed. To support the development of a watershed management plan and foster public appreciation of the value of the riparian zone, Mohonk Preserve established a volunteer monitoring program surveying sites for invasive species. Between 2017 and 2019, citizen scientists repeatedly surveyed 20 sites in the Hudson River Valley in New York for 10 invasive plant species: purple loosestrife (Lythrum salicaria L.), common reed [Phragmites australis (Cav.) Trin. ex Steud], multiflora rose (Rosa multiflora Thunb.), garlic mustard [Alliaria petiolata (M. Bieb.) Cavara & Grande], dame’s rocket (Hesperis matronalis L.), Japanese knotweed (Polygonum cuspidatum Siebold & Zucc.), wineberry (Rubus phoenicolasius Maxim.), barberry (Berberis spp.), Japanese stiltgrass [Microstegium vimineum (Trin.) A. Camus], and Asiatic bittersweet (oriental bittersweet, Celastrus orbiculatus Thunb.). We found that the number of target species detected was higher on sites closer to paved roads and with increasing drainage area size, while lower with higher percentages of forested land in the basin. Our analysis results highlight variation in the presence of target invasive species across the Hudson River Valley region, highlighting sites and areas to monitor for future introductions and take action to prevent species’ invasions. Our results highlight differences in the most relevant abiotic factors for hydrophytes and non-hydrophyte species, underscoring the importance of considering species’ life-history traits before the development of management plans for invasive plant species in the riparian zone. Our case study of community-collected data in the Hudson River Valley region using a relatively simple monitoring protocol can provide a road map for other regions fostering volunteer engagement with invasive plants.

We present the first Bayesian 14C modeling based on AMS ages from stratified sediments representing continuous occupation across the Early Bronze III/IV interface in the Southern Levant. This new high-precision modeling incorporates 12 calibrated AMS ages from Khirbat Iskandar Area C using OxCal 4.4.4 and the IntCal 20 calibration curve to specify the EB III/IV transition at or slightly before 2500 cal BCE. Our results contribute to the continuing emergence of a high chronology for the Levantine Early Bronze Age, which shifts the end of EB III 200–300 years earlier than the traditional time frame and increases the length of EB IV to about 500 years. Data from Khirbat Iskandar also help direct greater attention to the importance of sedentary communities through EB IV, in contrast to the traditional emphasis on non-sedentary pastoral encampments and cemeteries. Modeling of AMS data from Khirbat Iskandar bolsters the ongoing revision of Early Bronze Age Levantine chronology and its growing interpretive independence from Egyptian history and contributes particularly to re-examination of the EB III/IV nexus in the Southern Levant.

Scholars increasingly recognize that voters’ attitudes about gender shape their electoral preferences. Yet previous research has not captured important nuances of the relationship between gender attitudes and electoral choice. We argue that the effects of gender attitudes are not unidirectional and interact in complex ways with voters’ perceptions of candidates, depending not only on candidates’ sex but also on their gender-relevant characteristics and values. We draw on an original survey of Americans during the 2016 elections that measured three gender attitudes—hostile sexism, modern sexism, and traditional gender roles—and evaluations of primary and general election candidates. Our study design increases analytical leverage by examining actual and hypothetical candidate matchups. We find that among Democrats, hostile sexists were drawn to Bernie Sanders, but gender traditionalists preferred Hillary Clinton. Our results also suggest that if Sanders had been the Democratic nominee, gender egalitarians would have strongly supported him over Donald Trump, as they did Clinton.

ABSTRACT IMPACT: Understanding the needs and barriers or facilitators to participation in research, especially among minority communities is critical not only for COVID-19 research but also for future clinical and translational research and health disparities studies. OBJECTIVES/GOALS: The overall goal of this project is to enhance education, awareness, access, and inclusion of underserved communities across Florida in COVID-19 research, especially among Black and Hispanic minority groups that are disproportionately affected by COVID-19. METHODS/STUDY POPULATION: Through strategic partnership among five academic institutions and community-based organizations across the state of Florida, the FL-CEAL team will implement focus groups and surveys in minority communities in Florida to gauge the awareness and understanding of COVID-19, and the barriers and facilitators for participation in COVID-19 research studies. These communities include but are not limited to Latinx and Black populations in South and Central Florida, and Black communities in North Florida. The outcomes will help shape strategies for outreach and dissemination activities and minority recruitment plans to promote participation of minorities into vaccine and therapeutic trials. RESULTS/ANTICIPATED RESULTS: An estimated 75-125 participants will be recruited for focus groups. Four focus groups with minority communities have been conducted and the results are being analyzed. A common Community-Based Needs Assessment survey is being finalized and will be deployed across the 11 states that are part of the national CEAL consortium. Community Health Workers are being engaged to support outreach and dissemination to educate targeted communities on COVID-19 research and the importance of participation in COVID trials. To date, 243 CHWs and 880 community members have been engaged. Minority participation in COVID-19 vaccine trials at University of Miami has been higher than the national average. DISCUSSION/SIGNIFICANCE OF FINDINGS: The FL-CEAL Alliance has successfully demonstrated a coordinated effort to engage minority communities affected by COVID. Through strategic geographic partnerships, FL-CEAL will positively impact minority communities throughout the state that has one of the most diverse populations in the nation.

A piezoelectric biomedical microelectromechanical system (bioMEMS) cantilever device was designed and fabricated to act as either a sensing element for muscle tissue contraction or as an actuator to apply mechanical force to cells. The sensing ability of the piezoelectric cantilevers was shown by monitoring the electrical signal generated from the piezoelectric aluminum nitride in response to the contraction of iPSC-derived cardiomyocytes cultured on the piezoelectric cantilevers. Actuation was demonstrated by applying electrical pulses to the piezoelectric cantilever and observing bending via an optical detection method. This piezoelectric cantilever device was designed to be incorporated into body-on-a-chip systems.

Objectives: Huntington’s disease (HD) is a debilitating genetic disorder characterized by motor, cognitive and psychiatric abnormalities associated with neuropathological decline. HD pathology is the result of an extended chain of CAG (cytosine, adenine, guanine) trinucleotide repetitions in the HTT gene. Clinical diagnosis of HD requires the presence of an otherwise unexplained extrapyramidal movement disorder in a participant at risk for HD. Over the past 15 years, evidence has shown that cognitive, psychiatric, and subtle motor dysfunction is evident decades before traditional motor diagnosis. This study examines the relationships among subcortical brain volumes and measures of emerging disease phenotype in prodromal HD, before clinical diagnosis. Methods: The dataset includes 34 cognitive, motor, psychiatric, and functional variables and five subcortical brain volumes from 984 prodromal HD individuals enrolled in the PREDICT HD study. Using cluster analyses, seven distinct clusters encompassing cognitive, motor, psychiatric, and functional domains were identified. Individual cluster scores were then regressed against the subcortical brain volumetric measurements. Results: Accounting for site and genetic burden (the interaction of age and CAG repeat length) smaller caudate and putamen volumes were related to clusters reflecting motor symptom severity, cognitive control, and verbal learning. Conclusions: Variable reduction of the HD phenotype using cluster analysis revealed biologically related domains of HD and are suitable for future research with this population. Our cognitive control cluster scores show sensitivity to changes in basal ganglia both within and outside the striatum that may not be captured by examining only motor scores. (JINS, 2017, 23, 159–170)

Excessive internet use has been linked to psychopathology. Therefore, understanding the genetic and environmental risks underpinning internet use and their relation to psychopathology is important. This study aims to explore the genetic and environmental etiology of internet use measures and their associations with internalizing disorders and substance use disorders. The sample included 2,059 monozygotic (MZ) and dizygotic (DZ) young adult twins from the Brisbane Longitudinal Twin Study (BLTS). Younger participants reported more frequent internet use, while women were more likely to use the internet for interpersonal communication. Familial aggregation in ‘frequency of internet use’ was entirely explained by additive genetic factors accounting for 41% of the variance. Familial aggregation in ‘frequency of use after 11 pm’, ‘using the internet to contact peers’, and ‘using the internet primarily to access social networking sites’ was attributable to varying combinations of additive genetic and shared environmental factors. In terms of psychopathology, there were no significant associations between internet use measures and major depression (MD), but there were positive significant associations between ‘frequency of internet use’ and ‘frequency of use after 11 pm’ with social phobia (SP). ‘Using the internet to contact peers’ was positively associated with alcohol abuse, whereas ‘using the internet to contact peers’ and ‘using the internet primarily to access social networking sites’ were negatively associated with cannabis use disorders and nicotine symptoms. Individual differences in internet use can be attributable to varying degrees of genetic and environmental risks. Despite some significant associations of small effect, variation in internet use appears mostly unrelated to psychopathology.

For more than 3 decades governments and education systems have struggled to address the gaps in educational outcomes between Indigenous and non-Indigenous students. Over the past 10 years it has become increasingly apparent that central to redressing these gaps is the development of teachers who are able to effectively engage with Indigenous students, their families and communities. The introduction of National Professional Standards has increased the focus on the development of pre-service teachers’ capacity to effectively teach Indigenous students. In 2008, the New South Wales Department of Education (DET) and four universities implemented an enhanced teacher training program (ETTP) that was delivered to final-year primary pre-service teachers. The success and continuing expansion of this program, coupled with the current national focus on building pre-service teachers’ capacity to teach Indigenous students, suggests it is timely to detail the critical design features of, and rationale for, this program to inform and support development of similar programs within pre-service teacher education. The article reports on four critical elements of the program: knowledge and understanding of Aboriginal history and culture; effective cross-cultural communication skills; holistic understanding of Aboriginal education and strategies required for improving Aboriginal student outcomes; and appropriate pedagogy and classroom management strategies.