3,263 research outputs found

    Carotid sinus nerve stimulation; studies on the mechanism of the hypotensive response and possible therapeutic application

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    The neural network behind the eyes of a fly

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    With its regular, almost crystal-like structure, the fly optic lobe represents a particularly beautiful piece of nervous system, which consequently has attracted the attention of many researchers over the years. While the anatomy of the various cell types had been known from Golgi studies for long, their visual response properties could only recently be revealed thanks to the advent of cell-specific driver lines and genetically encoded indicators of neural activity. Furthermore, dense EM reconstruction of several columns of the fly optic lobe now provides information about the synaptic connections between the different cell types, and RNA sequencing sheds light on the transmitter systems and ionic conductances used for communication between them. Together with the molecular tools allowing for blocking and activating individual, genetically targeted cell types, the fly optic lobe can soon be one of the best-understood visual neuropils in neuroscience. In this review, we summarize what we have learned so far, and discuss the major difficulties that keep us from a complete understanding of visual processing in the fly optic lobe

    On the Fast Lane to Road Rage

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    Aggressive driving and road rage are increasing. The factors that trigger road rage are not well understood. The first goal of this study was to identify conditions likely to lead to aggressive driving/road rage. The second goal was to develop a paradigm that allows for the controlled study of road rage in the laboratory setting. A total of forty-five drivers participated in the study. Twenty-three drivers received non-contingent instructions that emphasized safely driving to a rest stop. The remaining drivers received contingent instructions that added a $10 monetary incentive if they arrived at the rest stop in the top 50% of all drivers. Participants drove in two scenarios (regular / irregular flow) in a high fidelity driving simulator. We recorded cardiovascular reactivity while driving, and measured driving-related anger after completing each scenario. Overall, the driving task evoked minimal changes in blood pressure. However, an incentive by gender interaction for systolic blood pressure (SBP) reactivity indicated that males in the contingent incentive condition displayed greater SBP responses than males in the noncontingent incentive condition or females in the contingent incentive condition. Contingent versus non-contingent incentives had no effect on females’ SBP response. We found no effect of incentive or traffic flow on anger, though analysis on an individual level indicated that some subjects were affected by the manipulation of driving condition. The present findings provide psychophysiological evidence that driving under time pressure and in irregular traffic flow may contribute to the genesis of road rage

    Simulator Training Improves Driver Efficiency: Transfer from the Simulator to the Real World

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    Here we report the results of a fuel management simulation study to quantify the improvement in fuel efficiency for CDL truck drivers. Forty drivers were selected from a local commercial trucking company that maintained precise records on drivers’ history, fuel efficiency, type of vehicles driven, and trucking routes. These drivers participated in a two-hour training program that focused on ways to optimize shifting to maximize fuel efficiency (e.g., progressive shifting, double clutching, timing, and appropriate gear selection). Transfer of training was assessed over a six-month interval using measures of fuel consumption obtained by drivers in their own vehicles driving their normal route. Training increased fuel efficiency by an average of 2.8% over the six-month interval. Analyses indicated that the benefits of training persisted throughout the posttraining interval. These training benefits were obtained even for the subset of drivers who changed vehicles after training, indicating that drivers learned a general skill that transferred from one vehicle to another. Additional analyses focused on which drivers benefited the most from training. We sorted the drivers into one of four groups, based on pre-training fuel efficiency. Our analysis indicated that those drivers with the lowest pre-training fuel efficiency benefited most from training (with over 7% improvement in fuel efficiency), while those with the highest pre-training fuel efficiency did not benefit significantly from training. Together, our data validated the transfer of simulator training to realworld driving, as drivers incorporated the methods of optimal shifting into their driving practices. Moreover, the benefits of training appear to be durable and tend to benefit most those drivers whose performance was initially below the median on fuel efficienc

    Simulator Training Improves Driver Efficiency: Transfer from the Simulator to the Real World

    Get PDF
    Here we report the results of a fuel management simulation study to quantify the improvement in fuel efficiency for CDL truck drivers. Forty drivers were selected from a local commercial trucking company that maintained precise records on drivers’ history, fuel efficiency, type of vehicles driven, and trucking routes. These drivers participated in a two-hour training program that focused on ways to optimize shifting to maximize fuel efficiency (e.g., progressive shifting, double clutching, timing, and appropriate gear selection). Transfer of training was assessed over a six-month interval using measures of fuel consumption obtained by drivers in their own vehicles driving their normal route. Training increased fuel efficiency by an average of 2.8% over the six-month interval. Analyses indicated that the benefits of training persisted throughout the posttraining interval. These training benefits were obtained even for the subset of drivers who changed vehicles after training, indicating that drivers learned a general skill that transferred from one vehicle to another. Additional analyses focused on which drivers benefited the most from training. We sorted the drivers into one of four groups, based on pre-training fuel efficiency. Our analysis indicated that those drivers with the lowest pre-training fuel efficiency benefited most from training (with over 7% improvement in fuel efficiency), while those with the highest pre-training fuel efficiency did not benefit significantly from training. Together, our data validated the transfer of simulator training to realworld driving, as drivers incorporated the methods of optimal shifting into their driving practices. Moreover, the benefits of training appear to be durable and tend to benefit most those drivers whose performance was initially below the median on fuel efficienc

    Just in Time Support to Aide Cardio-Pulmonary Resuscitation

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    A lunar base reference mission for the phased implementation of bioregenerative life support system components

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    Previous design efforts of a cost effective and reliable regenerative life support system (RLSS) provided the foundation for the characterization of organisms or 'biological processors' in engineering terms and a methodology was developed for their integration into an engineered ecological LSS in order to minimize the mass flow imbalances between consumers and producers. These techniques for the design and the evaluation of bioregenerative LSS have now been integrated into a lunar base reference mission, emphasizing the phased implementation of components of such a BLSS. In parallel, a designers handbook was compiled from knowledge and experience gained during past design projects to aid in the design and planning of future space missions requiring advanced RLSS technologies. The lunar base reference mission addresses in particular the phased implementation and integration of BLS parts and includes the resulting infrastructure burdens and needs such as mass, power, volume, and structural requirements of the LSS. Also, operational aspects such as manpower requirements and the possible need and application of 'robotics' were addressed
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