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1.
Am J Phys Med Rehabil ; 2022 Sep 29.
Article in English | MEDLINE | ID: covidwho-2235101

ABSTRACT

ABSTRACT: Opportunities for early medical student exposure to the field of Physical Medicine and Rehabilitation (PM&R) are desirable for promoting the field as a career choice and are useful for introducing students to the care of people with disabilities. The COVID-19 pandemic disrupted medical education and caused the cancellation of many in person clinical programs, including the Medical Student Summer Clinical Externship (MSSCE) in PM&R supported by the Association of Academic Physiatrists (AAP). This paper describes the process by which an in-person summer clinical externship program was effectively converted into a Virtual PM&R Experience using a combination of independent assignments and small group sessions. Eighty-seven medical students completed the Virtual PM&R Experience over two summers. The participants of the program met the program learning objectives including enhancing their understanding of physiatry as a career and recognizing the medical and social issues that affect persons with disability.

3.
15th ACM International Conference on Distributed and Event-Based Systems, DEBS 2021 ; : 136-141, 2021.
Article in English | Scopus | ID: covidwho-1327756

ABSTRACT

The ACM DEBS 2021 Grand Challenge (GC) is the eleventh episode of a series of programming challenge competitions that began in 2011. Every year, participants of the GC are provided with new datasets and practical problems, and the challenge receives novel and high performant solutions from research, academia, and industry. The theme of the DEBS '21 GC is analyzing the environmental effects of COVID-19 restrictions. This year's edition of the GC is the first to explicitly focus on the integration and practicability of the solutions by fostering the use of distributed solutions based on widely-used open-source platforms and by requiring participants to address non-functional properties besides correctness of the solution. This paper describes the dataset used, formalizes the problem statement, and explains the evaluation platform that made dataset distribution and remote evaluation possible with our new virtualized infrastructure. © 2021 ACM.

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