The CogScreen-Aeromedical Edition (CogScreen-AE) is a computerized neurocognitive assessment screening tool developed for the Federal Aviation Administration as a rapid, reliable means of measuring neurocognitive deficiency in civilian airline pilots. This has potential use and assessment of military aviators flying high performance aircraft under extreme conditions; however, no data exist on how the dynamic flight environment affects CogScreen-AE scores. The objectives of this study were to determine what changes in performance on CogScreen-AE scores are seen post-flight in Naval Aviators flying high performance aircraft and to determine the potential for use of CogScreen-AE as a screening tool to evaluate degree of impairment, recovery from neurological illness, and return to duty status of a military aviator.
 
  Repeated measures, within-subjects experimental design with three CogScreen-AE administrations-introduction session, preflight session, and postflight session. An experimental study group was expolight. These data show that CogScreen-AE may be a reliable clinical instrument for assessing aviators' cognitive function with regard to return to flight duty decision-making. We anticipate future work in determining how CogScreen-AE can be utilized in the operational environment and documenting recovery from neurologic illness.
  Developing affordable and effective hemostatic and antimicrobial wound dressings for prolonged field care (PFC) of open wounds is of interest to prevent infection, to prevent sepsis, and to conserve tissue viability. The need for an effective hemostatic dressing that is also antimicrobial is required of a hemostatic dressing that can be left in place for extended periods (days). This is particularly important in light of the existence of pathogens that have coagulopathy properties. Thus, dressings that provide effective hemostasis and reduction in the frequency of dressing changes, whereas exerting robust antimicrobial activity are of interest for PFC. Highly cleaned and sterile unbleached cotton has constituents not found in bleached cotton that are beneficial to the hemostatic and inflammatory stages of wound healing. Here, we demonstrate two approaches to cotton-based antimicrobial dressings that utilize the unique components of the cotton fiber with simple modification to confer a high degree of hemosta a multilayered hemostatic dressing with antimicrobial properties is envisioned. This dressing would be safe, would be economical, and have a stable shelf-life that would be conducive for using PFC.
  The use of photobiomodulation has been proposed to improve wound healing for the last two decades. Recent development in photobiomodulation has led to the development of a novel biophotonic platform that utilizes fluorescent light energy (FLE) within the visible spectrum of light for healing of skin inflammation and wounds.
 
  In this article, FLE was used in preliminary analysis on 18 case studies of acute second-degree burns and in a pilot study using an ex vivo human skin model. Efficacy of FLE on wound healing and tissue remodeling was evaluated by monitoring improvements in the treated tissues, assessing pain for the patients, and by performing human genome microarray analysis of FLE-treated human skin samples.
 
  Healing was reported for all 18 patients treated with FLE for acute second-degree burns without reported adverse effects or development of infections. Furthermore, preliminary ex vivo skin model data suggest that FLE impacts different cellular pathways including essential immune-modulatory mechanisms.
 
  The results presented in this article are encouraging and suggest that FLE balances different stages of wound healing, which opens the door to initiating randomized controlled clinical trials for establishing the efficacy of FLE treatment in different phases of wound healing of second-degree burns.
 The results presented in this article are encouraging and suggest that FLE balances different stages of wound healing, which opens the door to initiating randomized controlled clinical trials for establishing the efficacy of FLE treatment in different phases of wound healing of second-degree burns.
  The ability to accurately detect hypotension in trauma patients at the earliest possible time is important in improving trauma outcomes. The earlier an accurate detection can be made, the more time is available to take corrective action. Currently, there is limited research on combining multiple physiological signals for an early detection of hemorrhagic shock. We studied the viability of early detection of hypotension based on multiple physiologic signals and machine learning methods. We explored proof of concept with a small (5 minutes) prediction window for application of machine learning tools and multiple physiologic signals to detecting hypotension.
 
  Multivariate physiological signals from a preexisting dataset generated by an experimental hemorrhage model were employed. These experiments were conducted previously by another research group and the data made available publicly through a web portal.  https://www.selleckchem.com/products/arv471.html  This dataset is among the few publicly available which incorporate measurement of multiple physiological% precision while SVM has 62% recall with 82% precision. Upon analyzing the feature importance, it was observed that electrocardiogram has the highest significance while arterial blood pressure has the least importance among all other signals.
 
  In this research, we explored the viability of early detection of hypotension based on multiple signals in a preexisting animal hemorrhage dataset. The results show that a multivariate approach might be more effective than univariate approaches for this detection task.
 In this research, we explored the viability of early detection of hypotension based on multiple signals in a preexisting animal hemorrhage dataset. The results show that a multivariate approach might be more effective than univariate approaches for this detection task.
  Neck pain among rotary-wing aviators has been established as an important issue in the military community, yet no U.S. Army regulation defines exactly what cervical spine range of motion (CROM) is adequate for flight. This lack of regulation leaves flight surgeons to subjectively determine whether an aviator affected by limited CROM is fit to maintain flight status. The U.S. Army Aeromedical Research Laboratory is conducting a study among AH-64 and UH-60 pilots to define CROM requirements in simulated and actual flight using optical head tracking equipment. Presented here is a preliminary analysis of head position data from a pilot and co-pilot in two AH-64 missions.
 
  Maintenance data recorder (MDR) files from two AH-64 missions were provided by the Apache Attack Helicopter Project Management Office. Data were filtered down to three-dimensional pilot and co-pilot head position data and each data point was analyzed to determine neck posture. These neck postures were then categorized as neutral, mild, and severe for flexion/extension, lateral bending, and twist rotation postural categories.