Development of a knowledge acquisition tool for an expert system flight status monitor

Two of the main issues in artificial intelligence today are knowledge acquisition dion and knowledge representation. The Dryden Flight Research Facility of NASA's Ames Research Center is presently involved in the design and implementation of an expert system flight status monitor that will provide expertise and knowledge to aid the flight systems engineer in monitoring today's advanced high-performance aircraft. The flight status monitor can be divided into two sections: the expert system itself and the knowledge acquisition tool. The knowledge acquisition tool, the means it uses to extract knowledge from the domain expert, and how that knowledge is represented for computer use is discussed. An actual aircraft system has been codified by this tool with great success. Future real-time use of the expert system has been facilitated by using the knowledge acquisition tool to easily generate a logically consistent and complete knowledge base

Preliminary development of an intelligent computer assistant for engine monitoring

As part of the F-18 high-angle-of-attack vehicle program, an AI method was developed for the real time monitoring of the propulsion system and for the identification of recovery procedures for the F404 engine. The aim of the development program is to provide enhanced flight safety and to reduce the duties of the propulsion engineers. As telemetry data is received, the results are continually displayed in a number of different color graphical formats. The system makes possible the monitoring of the engine state and the individual parameters. Anomaly information is immediately displayed to the engineer

A knowledge-based flight status monitor for real-time application in digital avionics systems

The Dryden Flight Research Facility of the National Aeronautics and Space Administration (NASA) Ames Research Center (Ames-Dryden) is the principal NASA facility for the flight testing and evaluation of new and complex avionics systems. To aid in the interpretation of system health and status data, a knowledge-based flight status monitor was designed. The monitor was designed to use fault indicators from the onboard system which are telemetered to the ground and processed by a rule-based model of the aircraft failure management system to give timely advice and recommendations in the mission control room. One of the important constraints on the flight status monitor is the need to operate in real time, and to pursue this aspect, a joint research activity between NASA Ames-Dryden and the Royal Aerospace Establishment (RAE) on real-time knowledge-based systems was established. Under this agreement, the original LISP knowledge base for the flight status monitor was reimplemented using the intelligent knowledge-based system toolkit, MUSE, which was developed under RAE sponsorship. Details of the flight status monitor and the MUSE implementation are presented

Providing Diverse Trainees an Early and Transparent Introduction to Academic Appointment and Promotion Processes.

IntroductionThe growth in number of medical schools and increased numbers of faculty tracks have combined with evolving criteria for promotion to trigger a call for greater transparency of academic appointment and promotion processes. Most vulnerable to confusion about these changes are first-generation and diverse medical students and residents, the upstream pipeline of the academic medicine workforce. Diverse medical students have expressed diminished interest in academia because of perceived obstacles in appointment and promotion processes.MethodsThis workshop was designed to utilize didactics and career reflection exercises to help trainees learn: (1) how to define core terms related to academic appointment and promotion processes, (2) how to compare data elements for different CVs and portfolios, (3) common steps in submitting a promotion package, and (4) that they can immediately begin to document content for academic CVs, portfolios, and promotion packages.ResultsOne hundred forty-five diverse participants completed an evaluation at eight conferences across the U.S. More than 90% strongly agreed or agreed that the aforementioned objectives were met. Participants commented that the workshop was "illuminating," was "very informative," and "provided an inside look of how faculty are evaluated." Results showed an immediate impact on participants' self-reported confidence to negotiate appointment and promotion processes.DiscussionIncreases in self-rated confidence to negotiate appointment and promotion processes may help sustain trainees' interest in becoming future faculty. Further monitoring will be needed to determine if early exposure to these concepts improves probability of seeking, obtaining, and maintaining appointments

E5 protein of human papillomavirus 16 downregulates HLA class I and interacts with the heavy chain via its first hydrophobic domai

Human papillomavirus type 16 E5 protein (HPV-16 E5) is expressed early in papillomavirus infection and is localised primarily in the cell Golgi apparatus (GA) and endoplasmic reticulum. E5 prevents transport of the major histocompatibility class I (MHC I; HLA class I in humans) to the cell surface and retains the complex in the GA. We report that these effects are due, at least in part, to the interaction between E5 and HLA I heavy chain (HC). We also demonstrate that the down-regulation of surface HLA I and interaction with HC are mediated by the first hydrophobic domain of E5. Although E5 downregulates classical HLA selectively as it does not downregulate non-classical HLA, the interaction with the HC of classical HLA I is not specific for a particular haplotype of HLA I. This suggests that E5 can interfere with antigen presentation by most, if not all, classical HLA I haplotypes, with potentially serious consequences as the ability of infected cells to present antigenic peptides to effector T cells would be compromised

The Structural Geology of the Cerrillos Hills Area, New Mexico

The earliest major structural deformation recorded in rocks exposed in the Cerrillos area occurred during the Laramie uplift of the Sangre de Cristo Mountains. This resulted in an erosional wedging of Upper Cretaceous strata at a rate of 130 feet per mile. Subsequent deposition of the Eocene Galisteo sand, clay, and gravel overstepped this surface in a sourceward direction. At the beginning of work on this project the major problem was to determine the geological structure of the Cerrillos Hills. It was felt that a large-scale geologic map of an area extensive enough to reveal the structurally complex center of the hills was necessary for the solution of this problem and would be a contribution to the geology of the region

Sloan Digital Sky Survey III Photometric Quasar Clustering: Probing the Initial Conditions of the Universe using the Largest Volume

The Sloan Digital Sky Survey has surveyed 14,555 square degrees of the sky, and delivered over a trillion pixels of imaging data. We present the large-scale clustering of 1.6 million quasars between z = 0.5 and z = 2.5 that have been classified from this imaging, representing the highest density of quasars ever studied for clustering measurements. This data set spans ~11,000 square degrees and probes a volume of 80(Gpc/h)^3. In principle, such a large volume and medium density of tracers should facilitate high-precision cosmological constraints. We measure the angular clustering of photometrically classified quasars using an optimal quadratic estimator in four redshift slices with an accuracy of ~25% over a bin width of l ~10 - 15 on scales corresponding to matter-radiation equality and larger (l ~ 2 - 30). Observational systematics can strongly bias clustering measurements on large scales, which can mimic cosmologically relevant signals such as deviations from Gaussianity in the spectrum of primordial perturbations. We account for systematics by employing a new method recently proposed by Agarwal et al. (2014) to the clustering of photometrically classified quasars. We carefully apply our methodology to mitigate known observational systematics and further remove angular bins that are contaminated by unknown systematics. Combining quasar data with the photometric luminous red galaxy (LRG) sample of Ross et al. (2011) and Ho et al. (2012), and marginalizing over all bias and shot noise-like parameters, we obtain a constraint on local primordial non-Gaussianity of fNL = -113+/-154 (1\sigma error). [Abridged]Comment: 35 pages, 15 figure

Lisa S. Disbrow Interview (MORS)

Interviewers: Jim Bexfield and Bob Sheldon. Interview location: at the Institute for Defense Analyses (IDA) in Alexandria, Virgini

Interview with Mildred Lull

An interview with Mildred Lull regarding her experiences in a one-room school house.https://scholars.fhsu.edu/ors/1019/thumbnail.jp