Competency-Based Education: A Framework for a More Efficient and Safer Aviation Industry

Aircraft design and reliability as well as pilots’ education and training have steadily and significantly improved in the last 20 years. Nevertheless, high-profile accidents still occur, even when the aircraft and related systems are operating adequately. Controlled flight into terrain, runway incursion accidents, and loss of control in flight are examples of mishaps in which inadequate decision-making, poor leadership, and ineffective communication are frequently cited as contributing factors. Conversely, the investigation of accidents (e.g., US Airways Flight 1549, in the U.S. on Jan. 15, 2009) and serious incidents (e.g., TAM Linhas Aereas Flight 3756 in Brazil on June 17, 2011) have shown that flight crews must be flexible and adaptable, think outside the box, and communicate effectively to cope with situations well beyond their individual expertise

Transforming the Professional Flight Program Curriculum: Justification, Process, and Future Development

According to the International Civil Aviation Organization (ICAO), by 2036 the aviation sector will need 620,000 new pilots, 125,000 new air traffic controllers, and 1.3 million aircraft maintenance personnel (ICAO, 2018); Pilots seeking a first officer position (a common entry-level position at Part 121 air carriers) are required to possess an Airline Transport Pilot (ATP) Certificate and 1,500 hours of total flight time; There are some exceptions! Support from administration Quantity vs Quality; How can flight faculty improve student learning and job readiness

Competency Based Education: A Framework for a More Efficient and Safer Aviation Industry

Aircraft design and reliability as well as pilots’ education and training have steadily and significantly improved in the last 20 years. Nevertheless, high-profile accidents still occur, even when the aircraft and related systems are operating adequately. Controlled flight into terrain, runway incursions accidents, and loss-of-control-in-flight are examples of mishaps in which inadequate decision-making, poor leadership, and ineffective communication are frequently cited as contributing factors. Conversely, the investigation of accidents (e.g., US Airways Flight 1549, in US, in 01/15/2009) and serious incidents (e.g., JJ 3756, in Brazil, in 06/17/2011) have indicated that flight crews have to be flexible and adaptable, think outside the box, and to communicate effectively in order to cope with situations well beyond their individual expertise. Conventional flight training requirements generally consider only the so-called “technical skills” and knowledge. Interestingly, pilot’s competencies in important areas, such as leadership, teamwork, resilience, and decision-making are not explicitly addressed. The aviation system is reliable but complex. Thus, it is unrealistic to foresee all possible aircraft accident scenarios. Furthermore, there are many organizational variables that could have a detrimental impact in the flight deck of an aircraft. To further improve flight training, the global aviation industry is moving toward Evidence Based Training (EBT). EBT provides rigorous assessment and assurance of pilot competencies throughout their training, regardless of the accumulated flight hours. EBT programs must identify, develop, and evaluate the competencies required to operate safely, effectively, and efficiently in a commercial air transport environment. Moreover, EBT needs to address the most relevant threats according to evidence collected in aircraft mishaps, flight operations, and training. There is some emergent empirical evidence showing that high-quality education and flight training have a greater impact on efficiency and safety than just the total flight hours accumulated by entry-level pilots. Advanced Qualification Programs are utilized in Part 121 operations. A similar model with the development and assessment of defined competencies can lead to better education and flight training outcomes in collegiate aviation. In keeping with this transition to a competency-based educational model, and given an understanding of the benefits of an EBT program for aviation safety and efficiency, the Purdue School of Aviation and Transportation Technology is redesigning its professional flight program. The benefits of this program will include: a. The establishment of advanced training processes that will enhance the acquisition of knowledge, skills, and abilities by the future professional pilot workforce that meet or exceed safety standards; b. Amplifying quality of education and flight training over flight hours; and c. Developing empirical data to inform decision-makers such as program leaders and regulators. The goal of this transformation process is to develop a competency-based program that will attend to academic and regulatory requirements, and that are in alignment with the major aviation stakeholders’ standards and recommendations. It is important to note that a competency-based degree will require graduates to demonstrate proficiency in competencies that are valued by the aviation and aerospace industries. Therefore, this will be beneficial for both the graduates as well as the industry

SkyMapper Filter Set: Design and Fabrication of Large Scale Optical Filters

The SkyMapper Southern Sky Survey will be conducted from Siding Spring Observatory with u, v, g, r, i and z filters that comprise glued glass combination filters of dimension 309x309x15 mm. In this paper we discuss the rationale for our bandpasses and physical characteristics of the filter set. The u, v, g and z filters are entirely glass filters which provide highly uniform band passes across the complete filter aperture. The i filter uses glass with a short-wave pass coating, and the r filter is a complete dielectric filter. We describe the process by which the filters were constructed, including the processes used to obtain uniform dielectric coatings and optimized narrow band anti-reflection coatings, as well as the technique of gluing the large glass pieces together after coating using UV transparent epoxy cement. The measured passbands including extinction and CCD QE are presented.Comment: 9 pages, 2 tables, 7 figure

Cell-Specific IRF-3 Responses Protect against West Nile Virus Infection by Interferon-Dependent and -Independent Mechanisms

Interferon regulatory factor (IRF)-3 is a master transcription factor that activates host antiviral defense programs. Although cell culture studies suggest that IRF-3 promotes antiviral control by inducing interferon (IFN)-β, near normal levels of IFN-α and IFN-β were observed in IRF-3−/− mice after infection by several RNA and DNA viruses. Thus, the specific mechanisms by which IRF-3 modulates viral infection remain controversial. Some of this disparity could reflect direct IRF-3-dependent antiviral responses in specific cell types to control infection. To address this and determine how IRF-3 coordinates an antiviral response, we infected IRF-3−/− mice and two primary cells relevant for West Nile virus (WNV) pathogenesis, macrophages and cortical neurons. IRF-3−/− mice were uniformly vulnerable to infection and developed elevated WNV burdens in peripheral and central nervous system tissues, though peripheral IFN responses were largely normal. Whereas wild-type macrophages basally expressed key host defense molecules, including RIG-I, MDA5, ISG54, and ISG56, and restricted WNV infection, IRF-3−/− macrophages lacked basal expression of these host defense genes and supported increased WNV infection and IFN-α and IFN-β production. In contrast, wild-type cortical neurons were highly permissive to WNV and did not basally express RIG-I, MDA5, ISG54, and ISG56. IRF-3−/− neurons lacked induction of host defense genes and had blunted IFN-α and IFN-β production, yet exhibited only modestly increased viral titers. Collectively, our data suggest that cell-specific IRF-3 responses protect against WNV infection through both IFN-dependent and -independent programs

Guidance of sentinel lymph node biopsy decisions in patients with T1-T2 melanoma using gene expression profiling.

AIM: Can gene expression profiling be used to identify patients with T1-T2 melanoma at low risk for sentinel lymph node (SLN) positivity? PATIENTS & METHODS: Bioinformatics modeling determined a population in which a 31-gene expression profile test predicted \u3c5% SLN positivity. Multicenter, prospectively-tested (n = 1421) and retrospective (n = 690) cohorts were used for validation and outcomes, respectively. RESULTS: Patients 55-64 years and ≥65 years with a class 1A (low-risk) profile had SLN positivity rates of 4.9% and 1.6%. Class 2B (high-risk) patients had SLN positivity rates of 30.8% and 11.9%. Melanoma-specific survival was 99.3% for patients ≥55 years with class 1A, T1-T2 tumors and 55.0% for class 2B, SLN-positive, T1-T2 tumors. CONCLUSION: The 31-gene expression profile test identifies patients who could potentially avoid SLN biopsy

Learning and climate change

Learning – i.e. the acquisition of new information that leads to changes in our assessment of uncertainty – plays a prominent role in the international climate policy debate. For example, the view that we should postpone actions until we know more continues to be influential. The latest work on learning and climate change includes new theoretical models, better informed simulations of how learning affects the optimal timing of emissions reductions, analyses of how new information could affect the prospects for reaching and maintaining political agreements and for adapting to climate change, and explorations of how learning could lead us astray rather than closer to the truth. Despite the diversity of this new work, a clear consensus on a central point is that the prospect of learning does not support the postponement of emissions reductions today.Learning; Uncertainty; Climate change; Decision analysis

Modeling and Evaluating Pilot Performance in NextGen: Review of and Recommendations Regarding Pilot Modeling Efforts, Architectures, and Validation Studies

NextGen operations are associated with a variety of changes to the national airspace system (NAS) including changes to the allocation of roles and responsibilities among operators and automation, the use of new technologies and automation, additional information presented on the flight deck, and the entire concept of operations (ConOps). In the transition to NextGen airspace, aviation and air operations designers need to consider the implications of design or system changes on human performance and the potential for error. To ensure continued safety of the NAS, it will be necessary for researchers to evaluate design concepts and potential NextGen scenarios well before implementation. One approach for such evaluations is through human performance modeling. Human performance models (HPMs) provide effective tools for predicting and evaluating operator performance in systems. HPMs offer significant advantages over empirical, human-in-the-loop testing in that (1) they allow detailed analyses of systems that have not yet been built, (2) they offer great flexibility for extensive data collection, (3) they do not require experimental participants, and thus can offer cost and time savings. HPMs differ in their ability to predict performance and safety with NextGen procedures, equipment and ConOps. Models also vary in terms of how they approach human performance (e.g., some focus on cognitive processing, others focus on discrete tasks performed by a human, while others consider perceptual processes), and in terms of their associated validation efforts. The objectives of this research effort were to support the Federal Aviation Administration (FAA) in identifying HPMs that are appropriate for predicting pilot performance in NextGen operations, to provide guidance on how to evaluate the quality of different models, and to identify gaps in pilot performance modeling research, that could guide future research opportunities. This research effort is intended to help the FAA evaluate pilot modeling efforts and select the appropriate tools for future modeling efforts to predict pilot performance in NextGen operations

Fractal Properties of Robust Strange Nonchaotic Attractors in Maps of Two or More Dimensions

We consider the existence of robust strange nonchaotic attractors (SNA's) in a simple class of quasiperiodically forced systems. Rigorous results are presented demonstrating that the resulting attractors are strange in the sense that their box-counting dimension is N+1 while their information dimension is N. We also show how these properties are manifested in numerical experiments.Comment: 9 pages, 14 figure

Open Science principles for accelerating trait-based science across the Tree of Life.

Synthesizing trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Species traits are widely used in ecological and evolutionary science, and new data and methods have proliferated rapidly. Yet accessing and integrating disparate data sources remains a considerable challenge, slowing progress toward a global synthesis to integrate trait data across organisms. Trait science needs a vision for achieving global integration across all organisms. Here, we outline how the adoption of key Open Science principles-open data, open source and open methods-is transforming trait science, increasing transparency, democratizing access and accelerating global synthesis. To enhance widespread adoption of these principles, we introduce the Open Traits Network (OTN), a global, decentralized community welcoming all researchers and institutions pursuing the collaborative goal of standardizing and integrating trait data across organisms. We demonstrate how adherence to Open Science principles is key to the OTN community and outline five activities that can accelerate the synthesis of trait data across the Tree of Life, thereby facilitating rapid advances to address scientific inquiries and environmental issues. Lessons learned along the path to a global synthesis of trait data will provide a framework for addressing similarly complex data science and informatics challenges