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Articles 1 - 8 of 8
Full-Text Articles in Medicine and Health Sciences
Characterization Of The Gut Microbiota Among Veterans With Unique Military-Related Exposures And High Prevalence Of Chronic Health Conditions: A United States-Veteran Microbiome Project (Us-Vmp) Study, Maggie A. Stanislawski, Christopher E. Stamper, Kelly A. Stearns-Yoder, Andrew J. Hoisington, Diana P. Brostow, Jeri E. Forster, Teodor T. Postolache, Christopher A. Lowry, Lisa A. Brenner
Characterization Of The Gut Microbiota Among Veterans With Unique Military-Related Exposures And High Prevalence Of Chronic Health Conditions: A United States-Veteran Microbiome Project (Us-Vmp) Study, Maggie A. Stanislawski, Christopher E. Stamper, Kelly A. Stearns-Yoder, Andrew J. Hoisington, Diana P. Brostow, Jeri E. Forster, Teodor T. Postolache, Christopher A. Lowry, Lisa A. Brenner
Faculty Publications
The gut microbiome is impacted by environmental exposures and has been implicated in many physical and mental health conditions, including anxiety disorders, affective disorders, and trauma- and stressor-related disorders such as posttraumatic stress disorder (PTSD). United States (US) military Veterans are a unique population in that their military-related exposures can have consequences for both physical and mental health, but the gut microbiome of this population has been understudied. In this publication, we describe exposures, health conditions, and medication use of Veterans in the US Veteran Microbiome Project (US-VMP) and examine the associations between these characteristics and the gut microbiota. This …
Reinvigorating A Technical Countering Weapons Of Mass Destruction Distance Learning Graduate Certificate Program, James C. Petrosky, Gaiven Varshney, Jeremy Slagley, Sara Shaghaghi
Reinvigorating A Technical Countering Weapons Of Mass Destruction Distance Learning Graduate Certificate Program, James C. Petrosky, Gaiven Varshney, Jeremy Slagley, Sara Shaghaghi
Faculty Publications
Current Countering Weapons of Mass Destruction (CWMD) demands can be divided broadly into policy and science. The science of chemical, biological, and radiological/nuclear weapons informs the limits of development, production, employment, operation, detection, risk characterization, human and material protection, and medical intervention. In short, the science of weapons of mass destruction (WMD) should precede and inform the development of policy. It is to this end that the Air Force Institute of Technology (AFIT) CWMD program was re-established, providing a technical educational option for practitioners to understand the science behind a very technically challenging subject.
Advancing Proper Dataset Partitioning And Classification Of Visual Search And The Vigilance Decrement Using Eeg Deep Learning Algorithms, Alexander J. Kamrud
Advancing Proper Dataset Partitioning And Classification Of Visual Search And The Vigilance Decrement Using Eeg Deep Learning Algorithms, Alexander J. Kamrud
Theses and Dissertations
Electroencephalography (EEG) classification of visual search and vigilance tasks has vast potential in its benefits. In future human-machine teaming systems, EEG could act as the tool for operator state assessment, enabling AI teammates to know when to assist the operator in these tasks, with the potential to lead to increased safety of operations, better training systems for our operators, and improved operational effectiveness. This research investigates deep learning methods which utilize EEG signals to classify the efficiency of an operator's search and to classify whether an operator is in a decrement during a vigilance type task, and investigates performing these …
Generalized Deep Learning Eeg Models For Cross-Participant And Cross-Task Detection Of The Vigilance Decrement In Sustained Attention Tasks, Alexander J. Kamrud [*], Brett J. Borghetti, Christine M. Schubert Kabban, Michael E. Miller
Generalized Deep Learning Eeg Models For Cross-Participant And Cross-Task Detection Of The Vigilance Decrement In Sustained Attention Tasks, Alexander J. Kamrud [*], Brett J. Borghetti, Christine M. Schubert Kabban, Michael E. Miller
Faculty Publications
Tasks which require sustained attention over a lengthy period of time have been a focal point of cognitive fatigue research for decades, with these tasks including air traffic control, watchkeeping, baggage inspection, and many others. Recent research into physiological markers of mental fatigue indicate that markers exist which extend across all individuals and all types of vigilance tasks. This suggests that it would be possible to build an EEG model which detects these markers and the subsequent vigilance decrement in any task (i.e., a task-generic model) and in any person (i.e., a cross-participant model). However, thus far, no task-generic EEG …
Classical And Neural Network Machine Learning To Determine The Risk Of Marijuana Use, Laura Zoboroski [*], Torrey J. Wagner, Brent T. Langhals
Classical And Neural Network Machine Learning To Determine The Risk Of Marijuana Use, Laura Zoboroski [*], Torrey J. Wagner, Brent T. Langhals
Faculty Publications
Marijuana is the most commonly abused drug for military personnel tested at the Air Force Drug Testing Laboratory. A publicly available dataset of drug use, personality trait scores and demographic data was modeled with logistic regression, decision tree and neural network models to determine the extent to which marijuana use can be predicted using personality traits. While the logistic regression model had lower performance than the neural network model, it matched the sensitivity of prior work (0.80), achieved a high level of significance (p < 0.05) and yielded valuable inferences. It implied that younger, less educated individuals who exhibit sensation-seeking behavior and are open to experience tend to be at higher risk for THC use. A method for performing an iterative multidimensional neural network hyperparameter search is presented, and two iterations of a 6-dimensional search were performed. Metrics were used to select a family of 8 promising models from a cohort of 4600 models, and the best NN model’s 0.87 sensitivity improved upon the literature. The model met an f1 overfitting threshold on the test and holdout datasets, and an accuracy sensitivity analysis on a holdout-equivalent dataset yielded a 95% CI of 0.86 ± 0.04. These results have the potential to increase the efficacy of drug prevention and intervention programs.
Toxoplasma Gondii, Suicidal Behavior, And Intermediate Phenotypes For Suicidal Behavior, Teodor T. Postolache, Abhishek Wadhawan, Dan Rujescu, Andrew J. Hoisington, Aline Dagdag, Enrique Baca-Garcia, Christopher A. Lowry, Olaoluwa O. Okusaga, Lisa A. Brenner
Toxoplasma Gondii, Suicidal Behavior, And Intermediate Phenotypes For Suicidal Behavior, Teodor T. Postolache, Abhishek Wadhawan, Dan Rujescu, Andrew J. Hoisington, Aline Dagdag, Enrique Baca-Garcia, Christopher A. Lowry, Olaoluwa O. Okusaga, Lisa A. Brenner
Faculty Publications
Within the general literature on infections and suicidal behavior, studies on Toxoplasma gondii ( T. gondii ) occupy a central position. This is related to the parasite's neurotropism, high prevalence of chronic infection, as well as specific and non-specific behavioral alterations in rodents that lead to increased risk taking, which are recapitulated in humans by T. gondii's associations with suicidal behavior, as well as trait impulsivity and aggression, mental illness and traffic accidents. This paper is a detailed review of the associations between T. gondii serology and suicidal behavior, a field of study that started 15 years ago with our …
A Coupled Hazard Simulation And Post-Disaster Resource Optimization Framework, Stephen M. Cunningham
A Coupled Hazard Simulation And Post-Disaster Resource Optimization Framework, Stephen M. Cunningham
Theses and Dissertations
Extreme events, such as natural or human-caused disasters, cause mental health stress in affected communities. While the severity of these outcomes varies based on socioeconomic standing, age group, and degree of exposure, disaster planners can mitigate potential stress-induced mental health outcomes by assessing early, intermediate, and long-term treatment interventions by social workers and psychologists. However, local and state authorities are typically underfunded, understaffed, and have ongoing health and social service obligations that constrain mitigation and response activities. A resource assignment framework is developed as a coupled-state transition and linear optimization model that assists planners in optimally allocating constrained resources and …
Costs And Benefits Of Physical Therapy Program Implementation For Air Force Fighter Pilots, Christian G. Erneston
Costs And Benefits Of Physical Therapy Program Implementation For Air Force Fighter Pilots, Christian G. Erneston
Theses and Dissertations
Air Force fighter pilots face risks associated with neck and spine injuries sustained while operating fighter aircraft. Studies from the flying and medical communities indicate that muscle-strengthening prehabilitative care may decrease the risk of flying related injuries in high performance aircraft pilots. For this reason, the U.S. Air Force provided $24.9M to implement the Optimizing the Human Weapon System (OHWS) program. The program provides physical therapy and strength training to fighter pilots in participating units at twenty-one Air Force bases with the intent of reducing injury rates and time out of the cockpit. From a healthcare perspective there is interest …