Individual and team competencies in translational teams.

Translational scientists create, advance, and translate knowledge as a result of research, learning, and application. Translational teams are composed of dynamic and diverse interprofessional and cross-disciplinary members that generate new knowledge to address a shared translational objective. The objective involves advancing an interventional product, behavioral intervention, or evidence-based approach to improve human health. This paper focuses on identifying individual and team competencies using a modified Delphi method to reach a consensus on the competencies needed by translational teams (TTs).

Promotion and tenure policies for team science at colleges/schools of medicine.

INTRODUCTION: Advancing understanding of human health promotion and disease prevention and treatment often requires teamwork. To evaluate academic medical institutions' support for team science in the context of researchers' career development, we measured the value placed on team science and specificity of guidance provided for documenting team science contributions in the promotion and tenure (P&T) documents of Colleges/Schools of Medicine (CoMs) in the National Center for Advancing Translational Sciences' Clinical and Translational Science Award (CTSA) program. METHOD: We reviewed complete P&T documents from 57 of 63 CTSA CoMs to identify career paths defined by three dimensions: academic rank (associate versus full professor), tenure eligibility (tenure track versus not), and role (research, clinical, education, and administrative), and we rated team science value and documentation guidance for each path. Multilevel models were estimated to compare team science value and documentation guidance as a function of the three career path dimensions while accounting for the clustered data (N = 357 career paths within 57 CoMs). RESULTS: Team science value was greater for associate than full professors, non-tenure-eligible versus tenure-eligible positions, and roles prioritizing clinical, education, and administrative responsibilities versus those prioritizing research. Guidance for documenting team science achievements was more explicit for roles that prioritized research. DISCUSSION: Although P&T policies at most CTSA institutions express value for team science, inconsistent within-institutional patterns of recognition and reward across career paths may have implications for researchers' involvement in team science. We discuss the implications of our findings for research and for P&T policies that promote team science.

Scientific retreats with 'speed dating': networking to stimulate new interdisciplinary translational research collaborations and team science.

To stimulate the formation of new interdisciplinary translational research teams and innovative pilot projects, the South Carolina Clinical and Translational Research (SCTR) Institute (South Carolina Clinical and Translational Science Award, CTSA) initiated biannual scientific retreats with 'speed dating' networking sessions. Retreat themes were prioritized based on the following criteria; cross-cutting topic, unmet medical need, generation of novel technologies and methodologies. Each retreat begins with an external keynote speaker followed by a series of brief research presentations by local researchers focused on the retreat theme, articulating potential areas for new collaborations. After each session of presentations, there is a 30 min scientific 'speed dating' period during which the presenters meet with interested attendees to exchange ideas and discuss collaborations. Retreat attendees are eligible to compete for pilot project funds on the topic of the retreat theme. The 10 retreats held have had a total of 1004 participants, resulted in 61 pilot projects with new interdisciplinary teams, and 14 funded projects. The retreat format has been a successful mechanism to stimulate novel interdisciplinary research teams and innovative translational research projects. Future retreats will continue to target topics of cross-cutting importance to biomedical and public health research.

Nitrogen storage and its interaction with carbohydrates of young apple trees in response to nitrogen supply.

Bench-grafted 'Fuji/M.26' apple (Malus domestica Borkh.) trees received a constant nitrogen (N) supply (10.7 mM) from bud break to the end of June, and were then fertigated with 0, 5, 10, 15 or 20 mM N in a modified Hoagland's solution for 2 months during the summer. In mid-October, half of the trees fertigated at each N concentration were sprayed twice with 3% urea, whereas the remaining trees served as controls. All trees were harvested after natural leaf fall and were stored at 2 degrees C. Five trees from each of the N treatment combinations were destructively sampled during dormancy to determine the composition of N and total nonstructural carbohydrates (TNC). As the N supply from fertigation increased, amounts of N in both free amino acids and proteins increased, whereas C/N ratios decreased. Foliar urea applications in the fall significantly increased amounts of N in both free amino acids and proteins, but decreased their C/N ratios. Arginine, the most abundant amino acid in both free amino acids and in proteins, accounted for an increasing proportion of N in free amino acids and proteins with increasing N supply from fertigation or foliar urea application. The ratio of protein N to free amino acid N decreased from about 27.1 to 3.2 as N supply from fertigation increased from 0 to 20 mM, and decreased further to 3.0 in response to foliar urea applications in the fall. Concentrations of glucose, fructose, sucrose and TNC decreased as the N supply from fertigation increased, whereas concentrations of sorbitol and starch remained relatively unchanged. Foliar urea applications decreased the concentration of each TNC component and the TNC concentration in each N fertigation treatment. A negative linear relationship was found between carbon in TNC and N in proteins and free amino acids. The sum of carbon in TNC, proteins and free amino acids remained constant in response to N supply from fertigation. However, foliar urea applications decreased the sum of carbon in proteins, free amino acids and TNC because about 21% of the decrease in TNC carbon was not recovered in free amino acids or proteins. Young apple trees store N and carbon dynamically in response to N supply. As N supply increases, an increasing proportion of N is found in the form of free amino acids, which have a low carbon cost, although proteins remain the main form of N storage. Furthermore, part of the carbon from TNC is incorporated into amino acids and proteins, decreasing the carbon stored as TNC and increasing the carbon stored as amino acids and proteins.