WHEN THE “GOLDEN HOUR” IS DEAD: PREPARING INDIGENOUS GUERRILLA MEDICAL NETWORKS FOR UNCONVENTIONAL CONFLICTS

The capability to treat and recuperate casualties to return to combat is a vital component of a force’s defense strategy. The current luxury of large specialized medical teams and expedient patient evacuations will no longer be available in future unconventional (UW) and guerrilla warfare (GW) conflicts. It is the goal of this research to determine how to prepare a resistance medical network for unconventional conflict. First, historical guerrilla medicine cases are used to show the irrelevance of the current NATO roles of care. A more applicable framework to GW/UW based on treatment goals is proposed. Then, tangible requirements were determined through systems dynamics analysis and modeling. The developed model provides casualty statistics based on these tangible requirements for planners to optimize their medical network. Social network analysis was utilized to determine non-tangible considerations for each stage of care. Finally, these analyses were synthesized into a decision support algorithm to determine the best possible level of care for a given conflict’s medical system. These analyses supported conclusions from historical cases that battlefield mortality is based on the movement of patients and of supplies in denied environments. Ultimately, improving medical interoperability, enhancing the movement of people and supplies, and preparing medical personnel for clandestine operations are required to decrease mortality in denied environments.Outstanding ThesisLieutenant Colonel, United States Air ForceApproved for public release. Distribution is unlimited

Emergency first response to a crisis event a multi-agent simulation approach

Homeland Security Presidential Directive #8 led to the establishment of the National Exercise Program and the Top Officials exercise series to test and evaluate first response agency integration and effectiveness. The last TOPOFF exercise cost $16M and involved over 10,000 people, but did not effectively leverage simulation techniques to make efficient use of resources. This research adapts an existing organizational learning process, integrating low- and high resolution simulation to provide decision support. This process led to the development of a multi-agent simulation methodology for emergency first response, specifically applied to analyze a notional vehicle bomb attack during a festival in the Baltimore Inner Harbor. This simulation demonstrates the potential benefits of low resolution simulation, using efficient experimental design and high-performance computing. Combined, these two ideas result in examining a 48-dimensional response surface and using over 156 CPU centuries of computer time. All experiments were completed in less than three weeks. The analysis of this data set provided insight into several areas, including the importance of standing operating procedures in the early moments of a crisis. Analysis showed that effective procedures may even be more important than the effectiveness of communications devices early in a first response operation.http://archive.org/details/emergencyfirstre109452800Outstanding ThesisUS Army (USA) author.Approved for public release; distribution is unlimited.Approved for public release; distribution is unlimited

Using Student Mood And Task Performance To Train Classifier Algorithms To Select Effective Coaching Strategies Within Intelligent Tutoring Systems (its)

The ultimate goal of this research was to improve student performance by adjusting an Intelligent Tutoring System\u27s (ITS) coaching strategy based on the student\u27s mood. As a step toward this goal, this study evaluated the relationships between each student\u27s mood variables (pleasure, arousal, dominance and mood intensity), the coaching strategy selected by the ITS and the student\u27s performance. Outcomes included methods to increase the perception of the intelligent tutor to allow it to adapt coaching strategies (methods of instruction) to the student\u27s affective needs to mitigate barriers to performance (e.g. negative affect) during the one-to-one tutoring process. The study evaluated whether the affective state (specifically mood) of the student moderated the student\u27s interaction with the tutor and influenced performance. This research examined the relationships, interactions and influences of student mood in the selection of ITS coaching strategies to determine which strategies were more effective in terms of student performance given the student\u27s mood, state (recent sleep time, previous knowledge and training, and interest level) and actions (e.g. mouse movement rate). Two coaching strategies were used in this study: Student-Requested Feedback (SRF) and Tutor-Initiated Feedback (TIF). The SRF coaching strategy provided feedback in the form of hints, questions, direction and support only when the student requested help. The TIF coaching strategy provided feedback (hints, questions, direction or support) at key junctures in the learning process when the student either made progress or failed to make progress in a timely fashion. The relationships between the coaching strategies, mood, performance and other variables of interest were considered in light of five hypotheses. At alpha = .05 and beta at least as great as .80, significant effects were limited in predicting performance. Highlighted findings include no significant differences in the mean performance due to coaching strategies, and only small effect sizes in predicting performance making the regression models developed not of practical significance. However, several variables including performance, energy level and mouse movement rates were significant, unobtrusive predictors of mood. Regression algorithms were developed using Arbuckle\u27s (2008) Analysis of MOment Structures (AMOS) tool to compare the predicted performance for each strategy and then to choose the optimal strategy. A set of production rules were also developed to train a machine learning classifier using Witten & Frank\u27s (2005) Waikato Environment for Knowledge Analysis (WEKA) toolset. The classifier was tested to determine its ability to recognize critical relationships and adjust coaching strategies to improve performance. This study found that the ability of the intelligent tutor to recognize key affective relationships contributes to improved performance. Study assumptions include a normal distribution of student mood variables, student state variables and student action variables and the equal mean performance of the two coaching strategy groups (student-requested feedback and tutor-initiated feedback ). These assumptions were substantiated in the study. Potential applications of this research are broad since its approach is application independent and could be used within ill-defined or very complex domains where judgment might be influenced by affect (e.g. study of the law, decisions involving risk of injury or death, negotiations or investment decisions). Recommendations for future research include evaluation of the temporal, as well as numerical, relationships of student mood, performance, actions and state variables

Department of Defense Dictionary of Military and Associated Terms

The Joint Publication 1-02, Department of Defense Dictionary of Military and Associated Terms sets forth standard US military and associated terminology to encompass the joint activity of the Armed Forces of the United States. These military and associated terms, together with their definitions, constitute approved Department of Defense (DOD) terminology for general use by all DOD components

An analysis of the common missile and TOW 2B on the Stryker anti-tank guided missile platform, using the Janus simulation

The U.S. Army is beginning to field the first of six Stryker Brigade Combat Teams (SBCTs) and equip the organic Anti-Tank (AT) Company of the Brigade with the LAV III Anti-Tank Guided Missile (ATGM) Platform and the Tube-Launched, Optically-Tracked, Wire-Guided 2B (TOW 2B) missile system. A developmental effort is currently underway to replace the aging TOW 2B and Hellfire missile systems with a common missile that meets both ground and air requirements. With increased range, lethality, and target acquisition capability, the Common Missile (CM) is being designed as the primary weapon system for the Army's Comanche helicopter and is a candidate for the lethality system of the Future Combat System (FCS) within the Army's Objective Force. Additionally, the CM is designed to be "backwards compatible" with existing TOW 2B and Hellfire launch platforms. The objective of this research effort is to determine the increase in operational effectiveness through the employment of the CM in the AT company of the SBCT in three different scenarios, using the high-resolution Janus Combat Model. Operational effectiveness will be assessed and statistically analyzed using lethality, survivability, and engagement range for three measures of effectiveness (MOEs)http://archive.org/details/annalysisofcommo109453438Major, United States ArmyApproved for public release; distribution is unlimited

Iowa Department of Public Defense Annual Report, December 19, 2013

Annual Report of the Iowa Department of Public Defens

Iowa Department of Public Defense Performance Plan FY2017, December 15, 2017

Agency Performance Plan for the Iowa Department of Public Defense

Iowa Department of Public Defense Annual Report FY14, January 1, 2015

Annual Report of the Iowa Department of Public Defens

Instilling reflective practice – The use of an online portfolio in innovative optometric education Accepted as: e‐poster Paper no. 098

At UCLAN we are breaking the mould and have developed a blended learning MSci optometry programme which is the first blended learning course in optometric education in the UK and the first to use a practice-based online portfolio. Optometry has traditionally been taught as a 3‐year undergraduate programme. Upon successful graduation, students are required to complete a year in practice and meet the General Optical Council's (GOC) “ability to” core competencies. However, a recent study by the GOC found that 76% of students felt unprepared for professional practice with insufficient clinical experience and in response, the GOC is currently undertaking an educational strategic review. To ensure the students receive high-quality clinical experience in the workplace, we have developed an online logbook and portfolio. Students log their experiences, learning points and reflections. The portfolio is closely monitored both by the student's mentor in practice and by academic staff. The content and reflections logged by the students then helps to drive the face to face teaching, small group discussions and clinical experiences provided by the university

Perspectives, Summer/Fall 2019, Volume 7, Number 2

https://nsuworks.nova.edu/hpd_hcs_magazine/1014/thumbnail.jp