Preparing to implement Floreciendo with Latina teens and their female caregivers: Integrating implementation science and the multiphase optimization strategy framework.

Background: Practical examples of studies integrating implementation science and the multiphase optimization strategy (MOST) framework are lacking. Floreciendo is a sexual and reproductive health program for Latina teens and their female caregivers, adapted from the IMARA evidence-based program.

Purpose: We prepared for delivering Floreciendo by developing an implementation plan to support the program's adoption and sustainment.

Adapting a sexual and reproductive health program for Latina teens and their female caregivers: a qualitative study.

Background: Adaptation is widely recognized as important when interventions are to be delivered in new settings or with new populations. However, there are gaps in the literature on how adaptations are carried out and documented. IMARA is a 12-h evidence-based sexual health intervention for Black teens and their mothers, designed for delivery over two days.

Comparison of Physical Aging and Glass Transition in Glassy-Rubbery Polymer Bilayer Films.

In the present work, we use ellipsometry to extract the physical aging response of thin glassy polystyrene (PS) layers from rubbery-glassy bilayer films of poly(-butyl methacrylate) (PnBMA) atop PS. How the soft interface between rubbery and glassy polymer domains can impact the physical aging response of glassy domains is unclear. Measurements in the literature have shown that the local glass transition temperature of PS is strongly reduced near a PnBMA/PS interface with a magnitude twice as large compared to that imparted by a free surface.

Disease diagnostics using machine learning of B cell and T cell receptor sequences.

Clinical diagnosis typically incorporates physical examination, patient history, various laboratory tests, and imaging studies but makes limited use of the human immune system's own record of antigen exposures encoded by receptors on B cells and T cells. We analyzed immune receptor datasets from 593 individuals to develop MAchine Learning for Immunological Diagnosis, an interpretive framework to screen for multiple illnesses simultaneously or precisely test for one condition. This approach detects specific infections, autoimmune disorders, vaccine responses, and disease severity differences.

Bystander assessments for hazardous alcohol use: Qualitative methods for item development informed by bystander theory.

: Dissemination of methods for developing psychometric instruments is essential for the production of high-quality research. This article describes a multistep process used to conduct the qualitative phase in the development of a battery of measures related to bystander behavior for hazardous alcohol use among young adults. : Qualitative methods were used to inform the content and wording of developed items to be relevant to young adults' lived experiences.