America's Medical School: 5,000 Graduates Since the “first Class”

Cited 7|Views10

Abstract

In 1980, the Uniformed Services University of the Health Sciences (USU) graduated its first class of medical students. As a national university intended to produce "career-committed" military officers and future leaders of the Military Health System, USU functions as the service academy for military medicine and public health. More than 40 years after the school's charter and 5,000 graduates since the first class, we describe the original purpose of USU and provide an update on its achievements. In particular, we address the question of the "staying power" of the University's alumni-the degree to which graduation from the nation's military medical school is associated with long years of devoted service to military medicine. At a time when the MHS is confronting the challenge of extended deployments, rising health care costs, and a growing array of threats to our nation's health, we suggest that America needs USU now more than ever.

Translated text

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Try using models to generate summary,it takes about 60s

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper