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  • Air Transportation and Safety  (2)
  • *Ecosystem  (1)
  • *Health Personnel  (1)
  • 2010-2014  (3)
  • 2000-2004  (1)
  • 1960-1964
  • 1
    Publication Date: 2004-09-28
    Description: Most acquired immunodeficiency syndrome (AIDS) service providers are in countries with little access to scientific developments relevant to their programs. It is critical to transfer advances from the scientific arena to service providers on a global scale. Human immunodeficiency virus (HIV) prevention organizations in 78 countries were randomized to receive either a control condition or a technology transfer condition with an interactive distance learning computer training curriculum and individualized distance consultation. Of 42 nongovernmental organizations in the technology transfer condition, 29 adopted the science-based program in their communities or trained other agencies to also use it. Advanced communication technologies can create a cost-effective infrastructure to disseminate new intervention models to service providers worldwide.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kelly, Jeffrey A -- Somlai, Anton M -- Benotsch, Eric G -- McAuliffe, Timothy L -- Amirkhanian, Yuri A -- Brown, Kevin D -- Stevenson, L Yvonne -- Fernandez, M Isa -- Sitzler, Cheryl -- Gore-Felton, Cheryl -- Pinkerton, Steven D -- Weinhardt, Lance S -- Opgenorth, Karen M -- P30-MH52776/MH/NIMH NIH HHS/ -- R01-MH62982/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2004 Sep 24;305(5692):1953-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for AIDS Intervention Research (CAIR), Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15448268" target="_blank"〉PubMed〈/a〉
    Keywords: *Communication ; Community Health Services ; Compact Disks ; Computer-Assisted Instruction ; *Education, Distance ; Follow-Up Studies ; HIV Infections/*prevention & control ; *Health Education ; *Health Personnel ; Health Promotion ; Humans ; Information Dissemination ; Organizations ; *Technology Transfer
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-06-02
    Description: Theory predicts that the approach of catastrophic thresholds in natural systems (e.g., ecosystems, the climate) may result in an increasingly slow recovery from small perturbations, a phenomenon called critical slowing down. We used replicate laboratory populations of the budding yeast Saccharomyces cerevisiae for direct observation of critical slowing down before population collapse. We mapped the bifurcation diagram experimentally and found that the populations became more vulnerable to disturbance closer to the tipping point. Fluctuations of population density increased in size and duration near the tipping point, in agreement with the theory. Our results suggest that indicators of critical slowing down can provide advance warning of catastrophic thresholds and loss of resilience in a variety of dynamical systems.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dai, Lei -- Vorselen, Daan -- Korolev, Kirill S -- Gore, Jeff -- New York, N.Y. -- Science. 2012 Jun 1;336(6085):1175-7. doi: 10.1126/science.1219805.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22654061" target="_blank"〉PubMed〈/a〉
    Keywords: *Ecosystem ; *Population Density ; *Population Dynamics ; Saccharomyces cerevisiae/*growth & development/metabolism ; Stochastic Processes ; Sucrose/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2019-07-13
    Description: To meet the expected increases in air traffic demands, NASA and FAA are researching and developing Next Generation Air Transportation System (NextGen) concepts. NextGen will require substantial increases in the data available to pilots on the flight deck (e.g., weather,wake, traffic trajectory predictions, etc.) to support more precise and closely coordinated operations (e.g., self-separation, RNAV/RNP, and closely spaced parallel operations, CSPOs). These NextGen procedures and operations, along with the pilot's roles and responsibilities, must be designed with consideration of the pilot's capabilities and limitations. Failure to do so will leave the pilots, and thus the entire aviation system, vulnerable to error. A validated Man-machine Integration and design Analysis System (MIDAS) v5 model was extended to evaluate anticipated changes to flight deck and controller roles and responsibilities in NextGen approach and Land operations. Compared to conditions when the controllers are responsible for separation on decent to land phase of flight, the output from these model predictions suggest that the flight deck response time to detect the lead aircraft blunder will decrease, pilot scans to the navigation display will increase, and workload will increase.
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN4873 , 4th International Conference on Applied Human Factors and Ergonomics (AHFE); Sep 15, 2012; San Francisco, CA; United States
    Format: application/pdf
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  • 4
    Publication Date: 2019-07-12
    Description: The Closely Spaced Parallel Operations (CSPO) scenario is a complex, human performance model scenario that tested alternate operator roles and responsibilities to a series of off-nominal operations on approach and landing (see Gore, Hooey, Mahlstedt, Foyle, 2013). The model links together the procedures, equipment, crewstation, and external environment to produce predictions of operator performance in response to Next Generation system designs, like those expected in the National Airspaces NextGen concepts. The task analysis that is contained in the present report comes from the task analysis window in the MIDAS software. These tasks link definitions and states for equipment components, environmental features as well as operational contexts. The current task analysis culminated in 3300 tasks that included over 1000 Subject Matter Expert (SME)-vetted, re-usable procedural sets for three critical phases of flight; the Descent, Approach, and Land procedural sets (see Gore et al., 2011 for a description of the development of the tasks included in the model; Gore, Hooey, Mahlstedt, Foyle, 2013 for a description of the model, and its results; Hooey, Gore, Mahlstedt, Foyle, 2013 for a description of the guidelines that were generated from the models results; Gore, Hooey, Foyle, 2012 for a description of the models implementation and its settings). The rollout, after landing checks, taxi to gate and arrive at gate illustrated in Figure 1 were not used in the approach and divert scenarios exercised. The other networks in Figure 1 set up appropriate context settings for the flight deck.The current report presents the models task decomposition from the tophighest level and decomposes it to finer-grained levels. The first task that is completed by the model is to set all of the initial settings for the scenario runs included in the model (network 75 in Figure 1). This initialization process also resets the CAD graphic files contained with MIDAS, as well as the embedded operator models that comprise MIDAS. Following the initial settings, the model progresses to begin the first tasks required of the two flight deck operators, the Captain (CA) and the First Officer (FO). The task sets will initialize operator specific settings prior to loading all of the alerts, probes, and other events that occur in the scenario. As a note, the CA and FO were terms used in developing this model but the CA can also be thought of as the Pilot Flying (PF), while the FO can be considered the Pilot-Not-Flying (PNF)or Pilot Monitoring (PM). As such, the document refers to the operators as PFCA and PNFFO respectively.
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN8279
    Format: application/pdf
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