Knowledge Transformation in the United States Air Force Civil Engineer Career Field: A System Dynamics Approach

Recent operations in Iraq and Afghanistan have brought the level of expeditionary contractors to historically unprecedented levels, altering the work composition for military engineers. The alteration has shifted emphasis from technical knowledge areas toward managerial knowledge associated with supervising the increased number of contractors. This research utilizes System Dynamics modeling to analyze this shift in the United States Air Force Civil Engineer officer career field and resulting transformative effect on career field knowledge levels, both technical and managerial. The model is then tested with multiple external policy adjustments in the areas of career field structure, training, and operating policy. Results indicate the shift from technical to managerial knowledge not only diminishes technical knowledge, but also hinders managerial knowledge which requires a strong technical foundation; this creates an overall degradation of both knowledge areas. Therefore, the external policies implemented focused on limiting technical knowledge loss. The recommended policy included a combination of additional technical training and bifurcation of entry-level officers to focus on core technical knowledge, simultaneously providing the foundation for successful managerial knowledge levels

Injury Risk Estimation Expertise: Interdisciplinary Differences in Performance on the ACL Injury Risk Estimation Quiz

Background: Simple observational assessment of movement is a potentially low-cost method for anterior cruciate ligament (ACL) injury screening and prevention. Although many individuals utilize some form of observational assessment of movement, there are currently no substantial data on group skill differences in observational screening of ACL injury risk. Purpose/Hypothesis: The purpose of this study was to compare various groups’ abilities to visually assess ACL injury risk as well as the associated strategies and ACL knowledge levels. The hypothesis was that sports medicine professionals would perform better than coaches and exercise science academics/students and that these subgroups would all perform better than parents and other general population members. Study Design: Cross-sectional study; Level of evidence, 3. Methods: A total of 428 individuals, including physicians, physical therapists, athletic trainers, strength and conditioning coaches, exercise science researchers/students, athletes, parents, and members of the general public participated in the study. Participants completed the ACL Injury Risk Estimation Quiz (ACL-IQ) and answered questions related to assessment strategy and ACL knowledge. Results: Strength and conditioning coaches, athletic trainers, physical therapists, and exercise science students exhibited consistently superior ACL injury risk estimation ability (þ2 SD) as compared with sport coaches, parents of athletes, and members of the general public. The performance of a substantial number of individuals in the exercise sciences/sports medicines (approximately 40%) was similar to or exceeded clinical instrument-based biomechanical assessment methods (eg, ACL nomogram). Parents, sport coaches, and the general public had lower ACL-IQ, likely due to their lower ACL knowledge and to rating the importance of knee/thigh motion lower and weight and jump height higher. Conclusion: Substantial cross-professional/group differences in visual ACL injury risk estimation exist. The relatively profound differences in injury risk estimation accuracy and their potential implications for risk screening suggest the need for additional training and outreach

Cross-professional differences in real-time assessment of ACL injury risk

Simple visual inspection of movement is a potentially low cost method for anterior cruciate ligament (ACL) injury screening and prevention. Although many professionals, athletes, and coaches utilize some form of visual inspection of movement/injury risk, there is currently no substantial data on group skill differences. Sports medicine professionals, exercise science students/academics, and strength and conditioning coaches exhibited consistently superior ACL injury risk estimation skill compared to sport coaches, parents of athletes and the general public (about 2 standard deviations). In addition, many individuals’ visual risk assessment accuracy was similar to or exceeded clinical instrument-based biomechanical assessment methods (i.e., ACL nomogram). Perceptual-cognitive mechanisms are discussed

A case study evaluation: perceptually accurate textured surface models

This paper evaluates a new method for capturing surfaces with variations in albedo, height, and local orientation using a standard digital camera with three flash units. Similar to other approaches, captured areas are assumed to be globally flat and largely diffuse. Fortunately, this encompasses a wide array of interesting surfaces, including most materials found in the built environment, e.g., masonry, fabrics, floor coverings, and textured paints. We present a case study of naïve subjects who found that surfaces captured with our method, when rendered under novel lighting and view conditions, were statistically indistinguishable from photographs. This is a significant improvement over previous methods, to which our results are also compared. © 2009 ACM

Visual estimation of ACL injury risk: Efficient assessment method, group differences, and expertise mechanisms

Simple observational assessment of movement quality (e.g., drop vertical jump biomechanics) is an efficient and low cost method for anterior cruciate ligament (ACL) injury screening and prevention. A recently developed test (see www.ACL-IQ.org) has revealed substantial cross-professional/group differences in visual ACL injury risk estimation skill. Specifically, parents, sport coaches, and to some degree sports medicine physicians, would likely benefit from training or the use of decision support tools. In addition, expertise mechanisms (perceptual-cognitive characteristics of skilled performers) were investigated in order to design training systems to improve risk estimation performance

CROSS-PROFESSIONAL DIFFERENCES IN REAL-TIME ASSESSMENT OF ACL INJURY RISK

Simple visual inspection of movement is a potentially low cost method for anterior cruciate ligament (ACL) injury screening and prevention. Although many professionals, athletes, and coaches utilize some form of visual inspection of movement/injury risk, there is currently no substantial data on group skill differences. Sports medicine professionals, exercise science students/academics, and strength and conditioning coaches exhibited consistently superior ACL injury risk estimation skill compared to sport coaches, parents of athletes and the general public (about 2 standard deviations). In addition, many individuals’ visual risk assessment accuracy was similar to or exceeded clinical instrument-based biomechanical assessment methods (i.e., ACL nomogram). Perceptual-cognitive mechanisms are discussed

Transfer of albedo and local depth variation to photo-textures

Acquisition of displacement and albedo maps for full building façades is a difficult problem and traditionally achieved through a labor intensive artistic process. In this paper, we present a material appearance transfer method, Transfer by Analogy, designed to infer surface detail and diffuse reflectance for textured surfaces like the present in building façades. We begin by acquiring small exemplars (displacement and albedo maps), in accessible areas, where capture conditions can be controlled. We then transfer these properties to a complete phototexture constructed from reference images and captured under diffuse daylight illumination. Our approach allows super-resolution inference of albedo and displacement from information in the photo-texture. When transferring appearance from multiple exemplars to façades containing multiple materials, our approach also sidesteps the need for segmentation. We show how we use these methods to create relightable models with a high degree of texture detail, reproducing the visually rich self-shadowing effects that would normally be difficult to capture using just simple consumer equipment. Copyright © 2012 by the Association for Computing Machinery, Inc

Large-scale polymorphism discovery in macaque G-protein coupled receptors

Background: G-protein coupled receptors (GPCRs) play an inordinately large role in human health. Variation in the genes that encode these receptors is associated with numerous disorders across the entire spectrum of disease. GPCRs also represent the single largest class of drug targets and associated pharmacogenetic effects are modulated, in part, by polymorphisms. Recently, non-human primate models have been developed focusing on naturally-occurring, functionally-parallel polymorphisms in candidate genes. This work aims to extend those studies broadly across the roughly 377 non-olfactory GPCRs. Initial efforts include resequencing 44 Indian-origin rhesus macaques (Macaca mulatta), 20 Chinese-origin rhesus macaques, and 32 cynomolgus macaques (M. fascicularis). Results: Using the Agilent target enrichment system, capture baits were designed for GPCRs off the human and rhesus exonic sequence. Using next generation sequencing technologies, nearly 25,000 SNPs were identified in coding sequences including over 14,000 non-synonymous and more than 9,500 synonymous protein-coding SNPs. As expected, regions showing the least evolutionary constraint show greater rates of polymorphism and greater numbers of higher frequency polymorphisms. While the vast majority of these SNPs are singletons, roughly 1,750 non-synonymous and 2,900 synonymous SNPs were found in multiple individuals. Conclusions: In all three populations, polymorphism and divergence is highly concentrated in N-terminal and C-terminal domains and the third intracellular loop region of GPCRs, regions critical to ligand-binding and signaling. SNP frequencies in macaques follow a similar pattern of divergence from humans and new polymorphisms in primates have been identified that may parallel those seen in humans, helping to establish better non-human primate models of disease