Proceedings of Management of Risk and Uncertainty in the Acquisition of Major Programs, U. S. Air Force Academy, Colorado Springs, February 9-11, 1981

1981 ◽  
Author(s):  
M. D. Martin ◽  
Alan J. Rowe ◽  
Herold A. Sherman
Keyword(s):  
Air Force ◽  
Air Force Academy ◽  
Risk And Uncertainty ◽  
Colorado Springs ◽  
Management Of Risk

Fast Demand Response for Building Clusters

2015 ◽  
Author(s):  
Sanjeev Srivastava ◽  
Zhen Song ◽  
Dmitriy Okunev
Keyword(s):  
Air Force ◽  
Demand Response ◽  
Air Force Academy ◽  
Colorado Springs ◽  
Demand Reduction ◽  
Global Demand ◽  
Actual Load

This paper describes an approach for performing fast demand response involving a cluster of buildings. This approach is adaptive as well as distributed in nature. The approach is adaptive in the sense that the amount of targeted demand reduction, in an interval, is adjusted based on the performance of demand response actions executed in the last interval. The approach is distributed because the demand reduction is performed in each building in such a way that a global demand reduction target is met while the costs of performing the demand reduction actions are minimized. The developed method was implemented on a cluster of three buildings situated at U.S. Air Force Academy in Colorado Springs, CO. The results show that the developed approach was able to meet the demand reduction target, which was based on the amount of actual load that were deemed controllable for the DR events.

scholarly journals Phylodynamics Of A Regional, Sars-Cov-2 Rapid Spreading Event In Colorado

2021 ◽  
Author(s):  
Kristen J. Wade ◽  
Samantha Tisa ◽  
Chloe Barrington ◽  
Kristy R. Crooks ◽  
Chris R. Gignoux ◽  
...  
Keyword(s):  
United States ◽  
Air Force ◽  
United States Air Force ◽  
Evolutionary Dynamics ◽  
The United States ◽  
Viral Fitness ◽  
Contact Tracing ◽  
Air Force Academy ◽  
Colorado Springs ◽  
Ancestral Sequences

ABSTRACTSince the initial reported discovery of SARS-CoV-2 in late 2019, genomic surveillance has been an important tool to understand its transmission and evolution. Here, we describe a case study of genomic sequencing of Colorado SARS-CoV-2 samples collected August through November 2020 at the University of Colorado Anschutz Medical campus in Aurora and the United States Air Force Academy in Colorado Springs. We obtained nearly complete sequences for 44 genomes, inferred ancestral sequences shared among these local samples, and used NextStrain variant and clade frequency monitoring in North America to place the Colorado sequences into their continental context. Furthermore, we describe genomic monitoring of a lineage that likely originated in the local Colorado Springs community and expanded rapidly over the course of two months in an outbreak within the well-controlled environment of the United States Air Force Academy. This variant contained a number of amino acid-altering mutations that may have contributed to its spread, but it appears to have been controlled using extensive contact tracing and strict quarantine protocols. The genome sequencing allowed validation of the transmission pathways inferred by the United States Air Force Academy and provides a window into the evolutionary process and transmission dynamics of a potentially dangerous but ultimately contained variant.SIGNIFICANCESARS-CoV-2 spreads and mutates, negatively impacting containment. In this study, we use long-read sequencing to generate 44 SARS-CoV-2 genomes from COVID-19 patients associated with a rapid-spreading event on the USAFA campus, as well as a neighboring community for reference. We reconstruct the genomic and evolutionary signatures of the rapid-spreading event, and pin-point novel, protein-altering mutations that may have impacted viral fitness. These insights into viral evolutionary dynamics, in the context of contact tracing and a rigorous containment program, help to inform response efforts in the future.

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