69 research outputs found

    Team Vigilance: The Effects of Co-Action on Workload and Stress

    Get PDF
    Operator vigilance is a vital concern to the Air Force in regard to cockpit monitoring, air-traffic control, and the supervisory control of unmanned aerial vehicles. A key interest is the performance of teams of observers because of the reliance of military operations on good teamwork. Previous literature has examined the efficacy of team vigilance performance by comparing the frequency of target detections by teams in comparison to those obtained by operators working alone. Team performance has consistently exceeded single-operator performance. The present study replicates this effect and provides the initial experimental investigation of the cost of being a team member. Results indicated that team members worked harder but reported less distress than single operators in the performance of a simulated UAV monitoring task

    (5S,6S)-4,5-Dimethyl-3-methyl­acryloyl-6-phenyl-1,3,4-oxadiazinan-2-one

    Get PDF
    The title compound, C15H18N2O3, is an example of an oxadiazinan-2-one with significant inter­action between the N3-acyl and N4-methyl groups. These steric inter­actions result in a large torsion angle between the two carbonyl groups, not present with acyl substituents with less steric demand

    Epiregulin and EGFR interactions are involved in pain processing

    Get PDF
    The EGFR belongs to the well-studied ErbB family of receptor tyrosine kinases. EGFR is activated by numerous endogenous ligands that promote cellular growth, proliferation, and tissue regeneration. In the present study, we have demonstrated a role for EGFR and its natural ligand, epiregulin (EREG), in pain processing. We show that inhibition of EGFR with clinically available compounds strongly reduced nocifensive behavior in mouse models of inflammatory and chronic pain. EREG-mediated activation of EGFR enhanced nociception through a mechanism involving the PI3K/AKT/mTOR pathway and matrix metalloproteinase-9. Moreover, EREG application potentiated capsaicin-induced calcium influx in a subset of sensory neurons. Both the EGFR and EREG genes displayed a genetic association with the development of chronic pain in several clinical cohorts of temporomandibular disorder. Thus, EGFR and EREG may be suitable therapeutic targets for persistent pain conditions

    Cost and Punishment: Reassessing Incarceration Costs and the Value of College-in-Prison Programs

    Get PDF
    This article is the first study examining college-in-prison programs as part of the cost-reducing and risk-management trends currently dominant in criminal justice systems. The article concedes that a college programs will not be of benefit to every inmate and may confer benefits on politically unpopular constituencies, but argues that such educational offerings are nevertheless a powerful tool for reducing recidivism and incarceration costs

    Fractal Time Series Analysis of Human Heartbeat Intervals in a Change Blindness Task

    Get PDF
    Fractal analysis is a set of techniques used in the study of complex systems to understand patterns of variability that are often observed in non-linear and natural systems. These techniques have been successfully applied to the study of human physiology, such as gait, heart rate variability, and respiration (West, 2004). Understanding variability in physiological measures may provide insight into human performance, individual workload, and stress. As an exploration of the possible contributions of fractal analysis to human performance, heart rate data from an existing research study was re-analyzed using methods common in fractal analysis of time series data. Results indicate that variability was measurably different based on experimental manipulations, illustrating the potential utility of fractal analytic methods in understanding human performance. Researchers are encouraged to explore these methods for their own research

    Fractal Time Series Analysis of Human Heartbeat Intervals for Physical and Mental Workload

    Get PDF
    As the environments and tasks that teams (in both military and civilian settings) are faced with increase in complexity, standard statistical methods may not fully capture team dynamics and processes. Nonlinear analyses provide alternative, mathematically derived descriptions quantifying the level of complexity and variability inherent in a data set, and may provide a more accurate understanding of dynamic systems. The goal of the present study was to investigate changes in heart interbeat interval associated with task workload using one type of nonlinear analysis, power spectral density analysis. In this study, physical and mental workload were manipulated in separate tasks to explore the contributions of each to interbeat interval variability. Results indicated that spectral analysis can identify large changes in overall workload, but may be insensitive to small or medium changes. However, these conclusions are based on preliminary results; follow-up research is necessary to determine the veracity of these conclusions

    What Can a Multidimensional Measure of Stress Tell Us About Team Collaborative Tools?

    Get PDF
    A substantial body of research literature concerning the effects of collaborative tools on team performance has been generated, but the research has not considered subjective workload and stress associated with tool usage. The current experiment represents an initial, exploratory attempt to characterize the relationship between usage of collaborative tools, mental workload, and the subjective experience of stress. The NASA-TLX and the DSSQ-S were used to assess the workload and stress experienced by participants completing a simulated team command and control task. Task demands and collaborative tool availability were experimentally manipulated. Analysis of the data revealed that participants experienced increases in stress and workload with high task demands which were alleviated by the availability of collaborative tools under certain conditions. The results of this experiment demonstrate the complex relationships between collaborative technologies, workload, and stress
    corecore