Training of Administrative Chief Residents: Report of The Association of Program Directors in Surgery Chief Resident Workshop.

Objective: Surgical administrative chief residents (ACRs) play essential roles in residency training programs, including resident advocates, conflict negotiators, and scheduling managers. Despite their varied and important jobs, surgical ACRs receive very little training or introduction to the role.

Design: We describe here the creation and implementation of an Administrative Chief Resident Workshop developed for the Association of Program Directors in Surgery (APDS) to familiarize chief residents with their roles in scheduling and conflict negotiation.

Enabling next-generation engineered TCR-T therapies based on high-throughput TCR discovery from diagnostic tumor biopsies.

Adoptive cell therapy with tumor-infiltrating lymphocytes (TIL) can mediate tumor regression, including complete and durable responses, in a range of solid cancers, most notably in melanoma. However, its wider application and efficacy has been restricted by the limited accessibility, proliferative capacity and effector function of tumor-specific TIL. Here, we develop a platform for the efficient identification of tumor-specific TCR genes from diagnostic tumor biopsies, including core-needle biopsies frozen in a non-viable format, to enable engineered T cell therapy.

Assessing the preservation potential of successive hurricane overwash deposits in Florida, USA mangroves.

Geologic records of tropical cyclones (TCs) in low-energy, back-barrier environments are established by identifying marine sediments via their allochthonous biogeochemical signal. These records have the potential to reconstruct TC intensity and frequency through time. However, modern analog studies are needed to understand which biogeochemical indicators of overwash sediments are best preserved and how post-depositional changes may affect their preservation.

Semblans: automated assembly and processing of RNA-seq data.

Motivation: Recent advancements in parallel sequencing methods have precipitated a surge in publicly available short-read sequence data. This has encouraged the development of novel computational tools for the de novo assembly of transcriptomes from RNA-seq data. Despite the availability of these tools, performing an end-to-end transcriptome assembly remains a programmatically involved task necessitating familiarity with best practices.