North Carolina Central University (NCCU) and Duke Cancer Institute implemented an NCI-funded Translational Cancer Disparities Research Partnership to enhance translational cancer research, increase the pool of underrepresented racial and ethnic group (UREG) researchers in the translational and clinical research workforce, and equip UREG trainees with skills to increase diversity in clinical trials. The Cancer Research Education Program (C-REP) provided training for UREG graduate students and postdoctoral fellows at Duke and NCCU. An innovative component of C-REP is the Translational Immersion Experience (TIE), which enabled Scholars to gain knowledge across eight domains of clinical and translational research (clinical trials operations, data monitoring, regulatory affairs, UREG accrual, biobanking, community engagement, community outreach, and high-throughput drug screening). Program-specific evaluative metrics were created for three broad domains (clinical operations, basic science/lab research, and population-based science) and eight TIE domains. Two cohorts (n = 13) completed pre- and post-surveys to determine program impact and identify recommendations for program improvement. Scholars reported statistically significant gains in knowledge across three broad domains of biomedical research and seven distinct areas within TIE. Training in translational research incorporating immersions in clinical trials operation, biobanking, drug development, and community engagement adds value to career development of UREG researchers.

We present the current status of a scalable computing framework to address the need of the multidisciplinary effort to study chemical dynamics. Specifically, we are enabling scientists to process and store experimental data, run large-scale computationally expensive high-fidelity physical simulations, and analyze these results using state-of-the-art data analytics, machine learning, and uncertainty quantification methods using heterogeneous computing resources. We present the results of this framework on a single metadata-driven workflow to accelerate an additive manufacturing use-case.

Herbicides are the foundation of weed control in commercial crop-production systems. However, herbicide-resistant (HR) weed populations are evolving rapidly as a natural response to selection pressure imposed by modern agricultural management activities. Mitigating the evolution of herbicide resistance depends on reducing selection through diversification of weed control techniques, minimizing the spread of resistance genes and genotypes via pollen or propagule dispersal, and eliminating additions of weed seed to the soil seedbank. Effective deployment of such a multifaceted approach will require shifting from the current concept of basing weed management on single-year economic thresholds.

Objective: To determine the effects of motivational interviewing (MI) counselling versus a minimal intervention control on the enrollment of smokers in the Minnesota QUITPLAN Helpline.

Study design: Two-group randomized controlled trial of 235 community-dwelling adult smokers. Participants were randomly assigned to receive either a three-session phone based motivational interviewing intervention (n = 118) or the control (n = 117) consisting of mailed printed materials about the Minnesota QUITPLAN helpline services.

Data collection: Participants completed demographic and smoking-related survey questionnaire at baseline (by mail) and at weeks 4 and 26 (by phone) follow-up. Quitline enrollment status data was provided by the Minnesota QUITPLAN Helpline.

Principal findings: At week 4 follow-up, a higher proportion of participants in the MI group (22.3%) had enroled in the Minnesota QUITPLAN Helpline compared to those in the control arm (13.6%; p = 0.098). At week 26 follow-up, enrollment rates were similar for MI (28.0%) and control (26.5%) arms. Of those who enroled in the Helpline, participants in the MI group reported completing more Helpline sessions than those in control group (4.9 vs. 3.2; p = 0.087).

There was no significant interaction between readiness to quit and intervention for the outcome of enrollment in the Helpline.

Conclusions: A minimal intensity control such as mailing printed materials resulted in quitline enrollment rates similar to a more resource intensive intervention like motivational interviewing and several folds higher than the current state or national averages. We recommend that health plans should consider mailing smoking cessation promotional messages to encourage smokers to enrol in quitlines.