Effect of Reaction on the Growth of Yeasts

A study was made to determine the amounts of organic acids necessary to inhibit the growths of some yeasts isolated from bottled beverages. It was found that, in a medium containing the same amount of cane sugar used in bottled beverages (10%), with 0.1% peptone as a source of nitrogen and made solid with 2% agar agar, it was necessary to add sufficient acid to give a pH value of 3.3 to 2.6 in order to inhibit the growth of five strains of yeasts of variable sensitiveness. In a similar medium without the agag, acid to give a pH value of 2.7 to 2.3 was required for inhibition of growth

IMPACT OF HUMAN CHARACTERISTICS IN BASIC UNDERWATER DEMOLITION/SEAL (BUD/S) TRAINING PERFORMANCE

Reporting and clerical functions at Naval Special Warfare (NSW) Echelon IV commands are ripe for digitization, automation, and optimization. This study utilizes a restricted digitalized NSW dataset to showcase how “big data” in the context of SEAL training can be used to predict performance success of various Basic Underwater Demolition/SEAL (BUD/S) training evolutions. Our study focuses on multiple human characteristics and compares their correlation to evolution pass rates in training using Ordinary Least Squares (OLS) for our prediction model. From our initial regression analysis of over 232,000 data points, our findings indicate higher pass rates for BUD/S candidates who are older, married, and officers, as well as increased pass rates in individuals who were taller, lighter, and right-handed. Lower pass rates are found among minorities. The Black population had high fail rates in the evolutions that involve water activities. This study is an example of how long-term efficiencies could be gained from greater automation of data using simple software that could provide long-term benefit if captured in a more persistent and accurate manner. We advocate for the implementation of a more automated data/software collection system that can capture each student's training career in one cohesive data profile. Moving forward, NSW studies should continue to leverage the use of “big data” to optimize its performance across all domains of the force.Approved for public release. Distribution is unlimited.Lieutenant, United States NavyLieutenant, United States Nav