No abstract

Novel methods to increase crop productivity are required to meet anticipated demands for food, feed, fiber, and fuel. It is becoming feasible to use modern sensors and data analysis techniques for predicting plant growth and productivity based on genomic, phenotypic, and environmental data. To design and construct crops that deliver desired traits requires trained personnel with scientific and engineering expertise as well as a variety of "soft" skills. To address these needs at Iowa State University, we developed a graduate specialization called "Predictive Plant Phenomics" (P3). Although some of our experiences may be unique, many of the specialization's principles are likely to be broadly applicable to others interested in developing graduate training programs in plant phenomics. P3 involves transdisciplinary training and activities designed to develop communication, teambuilding, and management skills. To support students in this demanding and unique intellectual environment, we established a two-week boot camp before their first semester and founded a community of practice to support students throughout their graduate careers. Assessments show that P3 students understand the transdisciplinary training concepts, have formed a beneficial and supportive community, and interact with diverse faculty outside of their home departments. To learn more about the P3 program, visit www.predictivephenomicsinplants.iastate.edu.

Objective: To determine retention in care for opioid use disorder when treated solely via telehealth with a harm reduction, low-threshold model. Methods: Retrospective cohort analysis of aggregated, anonymized data from 991 patients in telehealth-based buprenorphine treatment. The cohort consisted of patients with commercial or governmental insurance who enrolled between May 17, 2019 andSeptember 28, 2021. Analysis was extended to a maximum of one year for each patient. Results: At one year, retention in care was 55% overall. When analyzed separately, retention at one year was 62% for patients with commercial insurance and 53% for those with governmental insurance. Conclusions: Telehealth-based treatment of opioid use disorder can achieve retention in care for patients—with governmental or commercial insurance—that is superior to inperson treatment as usual. Policy implications: Telehealth for opioid use disorder can be effective for patients over a range of incomes. Regulatory action allowing telehealth-only care

Adolescents often engage in behaviors such as substance use and risky sexual activity that can lead to negative health and psychological consequences for themselves and others. Accurate measurement of these behaviors in surveys is challenging given that the behaviors are often viewed as undesirable and/or are illegal, so it is important to test the psychometric properties of instruments used to assess adolescent risk behaviors. The current study aimed to assess the test-retest reliability of a widely used measure of youth risk-taking behavior, the Youth Risk Behavior Survey (YRBS). A sample of 156 at-risk adolescents aged 16–18 years (81% male; 61% White) completed the YRBS retrospectively across intervals ranging from 3 to 12 days during their stay in a residential program at which they were under close supervision and had limited ability to engage in new risk behaviors. Participants were asked to complete the YRBS based on their “typical” (pre-program) behavior at both administrations, which were 10–14 weeks into their stay. The reliability of responses was assessed using kappa and weighted kappa analyses. Findings indicate moderate to substantial reliability for nearly all items, suggesting that at-risk youth reliably reported their engagement in health risk behaviors across multiple administrations and supporting the psychometric strength of the YRBS measure for use with this population.