Implementing Team-Based Learning in a First-Year, Doctor of Physical Therapy Clinical Medicine Course.

Background And Purpose: Team-based learning (TBL) allows students to safely struggle with the complexity of clinical practice, yet there are few reports describing implementation in United States Doctor of Physical Therapy (DPT) education. The purpose of this paper is to report the implementation of TBL in a first-year clinical decision-making course within a DPT Program and compare the learning outcomes to a lecture-based teaching model.

Model/method Description And Evaluation: Team-based learning is an evidence-based, active learning technique whereby students complete clearly communicated, preclass assignments and come to class prepared to apply acquired knowledge and solve real-world scenarios in permanent, predetermined work teams.

"Alone in a Sea of Rib-Tips": Alvenia Fulton, Natural Health, and the Politics of Soul Food1.

While the intersection between alternative medicine and the natural food movement in radical white communities of the 1960s and 1970s is well known, the connection between these traditions and the simultaneous revolution in the black foodscape has not received adequate attention. This paper addresses this gap by exploring how an alternative healer and minister from the rural South, Alvenia Fulton, rose to prominence in Chicago during the 1960s and 1970s as one of the major figures in the transformation of the black diet by harnessing the star power of her celebrity clients. Fulton hybridized her apprenticeship in slave herbalism with concepts from white Protestant health food lectures into a corrective nutrition program to bring health and renewal to black communities that were struggling under the burden of structural and medical racism.

Fast Pure R Implementation of GEE: Application of the Matrix Package.

Generalized estimating equation solvers in R only allow for a few pre-determined options for the link and variance functions. We provide a package, , which is implemented entirely in R and allows for user specified link and variance functions. The sparse matrix representations provided in the package enable a fast implementation.