Science.gov

Sample records for priori knowledge lvgiga

  1. Level set segmentation for greenbelts by integrating wavelet texture and priori color knowledge

    NASA Astrophysics Data System (ADS)

    Yang, Tie-jun; Song, Zhi-hui; Jiang, Chuan-xian; Huang, Lin

    2013-09-01

    Segmenting greenbelts quickly and accurately in remote sensing images is an economic and effective method for the statistics of green coverage rate (GCR). Towards the problem of over-reliance on priori knowledge of the traditional level set segmentation model based on max-flow/min-cut Graph Cut principle and weighted Total Variation (GCTV), this paper proposes a level set segmentation method of combining regional texture features and priori knowledge of color and applies it to greenbelt segmentation in urban remote sensing images. For the color of greenbelts is not reliable for segmentation, Gabor wavelet transform is used to extract image texture features. Then we integrate the extracted features into the GCTV model which contains only priori knowledge of color, and use both the prior knowledge and the targets' texture to constrain the evolving of the level set which can solve the problem of over-reliance on priori knowledge. Meanwhile, the convexity of the corresponding energy functional is ensured by using relaxation and threshold method, and primal-dual algorithm with global relabeling is used to accelerate the evolution of the level set. The experiments show that our method can effectively reduce the dependence on priori knowledge of GCTV, and yields more accurate greenbelt segmentation results.

  2. A Priori Knowledge and Probability Density Based Segmentation Method for Medical CT Image Sequences

    PubMed Central

    Tan, Hanqing; Yang, Benqiang

    2014-01-01

    This paper briefly introduces a novel segmentation strategy for CT images sequences. As first step of our strategy, we extract a priori intensity statistical information from object region which is manually segmented by radiologists. Then we define a search scope for object and calculate probability density for each pixel in the scope using a voting mechanism. Moreover, we generate an optimal initial level set contour based on a priori shape of object of previous slice. Finally the modified distance regularity level set method utilizes boundaries feature and probability density to conform final object. The main contributions of this paper are as follows: a priori knowledge is effectively used to guide the determination of objects and a modified distance regularization level set method can accurately extract actual contour of object in a short time. The proposed method is compared to other seven state-of-the-art medical image segmentation methods on abdominal CT image sequences datasets. The evaluated results demonstrate our method performs better and has the potential for segmentation in CT image sequences. PMID:24967402

  3. Algorithms for magnetic tomography—on the role of a priori knowledge and constraints

    NASA Astrophysics Data System (ADS)

    Hauer, Karl-Heinz; Potthast, Roland; Wannert, Martin

    2008-08-01

    Magnetic tomography investigates the reconstruction of currents from their magnetic fields. Here, we will study a number of projection methods in combination with the Tikhonov regularization for stabilization for the solution of the Biot-Savart integral equation Wj = H with the Biot-Savart integral operator W:(L2(Ω))3 → (L2(∂G))3 where \\overline{\\Omega} \\subset G . In particular, we study the role of a priori knowledge when incorporated into the choice of the projection spaces X_n \\subset (L^2(\\Omega))^3, n\\in {\\bb N} , for example the conditions div j = 0 or the use of the full boundary value problem div σgrad phivE = 0 in Ω, ν sdot σgrad phivE = g on ∂Ω with some known function g, where j = σgrad phivE and σ is an anisotropic matrix-valued conductivity. We will discuss and compare these schemes investigating the ill-posedness of each algorithm in terms of the behaviour of the singular values of the corresponding operators both when a priori knowledge is incorporated and when the geometrical setting is modified. Finally, we will numerically evaluate the stability constants in the practical setup of magnetic tomography for fuel cells and, thus, calculate usable error bounds for this important application area.

  4. Effective identification of essential proteins based on priori knowledge, network topology and gene expressions.

    PubMed

    Li, Min; Zheng, Ruiqing; Zhang, Hanhui; Wang, Jianxin; Pan, Yi

    2014-06-01

    Identification of essential proteins is very important for understanding the minimal requirements for cellular life and also necessary for a series of practical applications, such as drug design. With the advances in high throughput technologies, a large number of protein-protein interactions are available, which makes it possible to detect proteins' essentialities from the network level. Considering that most species already have a number of known essential proteins, we proposed a new priori knowledge-based scheme to discover new essential proteins from protein interaction networks. Based on the new scheme, two essential protein discovery algorithms, CPPK and CEPPK, were developed. CPPK predicts new essential proteins based on network topology and CEPPK detects new essential proteins by integrating network topology and gene expressions. The performances of CPPK and CEPPK were validated based on the protein interaction network of Saccharomyces cerevisiae. The experimental results showed that the priori knowledge of known essential proteins was effective for improving the predicted precision. The predicted precisions of CPPK and CEPPK clearly exceeded that of the other 10 previously proposed essential protein discovery methods: Degree Centrality (DC), Betweenness Centrality (BC), Closeness Centrality (CC), Subgraph Centrality (SC), Eigenvector Centrality (EC), Information Centrality (IC), Bottle Neck (BN), Density of Maximum Neighborhood Component (DMNC), Local Average Connectivity-based method (LAC), and Network Centrality (NC). Especially, CPPK achieved 40% improvement in precision over BC, CC, SC, EC, and BN, and CEPPK performed even better. CEPPK was also compared to four other methods (EPC, ORFL, PeC, and CoEWC) which were not node centralities and CEPPK was showed to achieve the best results. PMID:24565748

  5. Effective identification of essential proteins based on priori knowledge, network topology and gene expressions.

    PubMed

    Li, Min; Zheng, Ruiqing; Zhang, Hanhui; Wang, Jianxin; Pan, Yi

    2014-06-01

    Identification of essential proteins is very important for understanding the minimal requirements for cellular life and also necessary for a series of practical applications, such as drug design. With the advances in high throughput technologies, a large number of protein-protein interactions are available, which makes it possible to detect proteins' essentialities from the network level. Considering that most species already have a number of known essential proteins, we proposed a new priori knowledge-based scheme to discover new essential proteins from protein interaction networks. Based on the new scheme, two essential protein discovery algorithms, CPPK and CEPPK, were developed. CPPK predicts new essential proteins based on network topology and CEPPK detects new essential proteins by integrating network topology and gene expressions. The performances of CPPK and CEPPK were validated based on the protein interaction network of Saccharomyces cerevisiae. The experimental results showed that the priori knowledge of known essential proteins was effective for improving the predicted precision. The predicted precisions of CPPK and CEPPK clearly exceeded that of the other 10 previously proposed essential protein discovery methods: Degree Centrality (DC), Betweenness Centrality (BC), Closeness Centrality (CC), Subgraph Centrality (SC), Eigenvector Centrality (EC), Information Centrality (IC), Bottle Neck (BN), Density of Maximum Neighborhood Component (DMNC), Local Average Connectivity-based method (LAC), and Network Centrality (NC). Especially, CPPK achieved 40% improvement in precision over BC, CC, SC, EC, and BN, and CEPPK performed even better. CEPPK was also compared to four other methods (EPC, ORFL, PeC, and CoEWC) which were not node centralities and CEPPK was showed to achieve the best results.

  6. Do we use a priori knowledge of gravity when making elbow rotations?

    PubMed

    Pinter, Ilona J; van Soest, Arthur J; Bobbert, Maarten F; Smeets, Jeroen B J

    2012-03-01

    In this study, we aim to investigate whether motor commands, emanating from movement planning, are customized to movement orientation relative to gravity from the first trial on. Participants made fast point-to-point elbow flexions and extensions in the transverse plane. We compared movements that had been practiced in reclined orientation either against or with gravity with the same movement relative to the body axis made in the upright orientation (neutral compared to gravity). For each movement type, five rotations from reclined to upright orientation were made. For each rotation, we analyzed the first trial in upright orientation and the directly preceding trial in reclined orientation. Additionally, we analyzed the last five trials of a 30-trial block in upright position and compared these trials with the first trials in upright orientation. Although participants moved fast, gravitational torques were substantial. The change in body orientation affected movement planning: we found a decrease in peak angular velocity and a decrease in amplitude for the first trials made in the upright orientation, regardless of whether the previous movements in reclined orientation were made against or with gravity. We found that these decreases disappeared after participants familiarized themselves with moving in upright position in a 30-trial block. These results indicate that participants used a general strategy, corresponding to the strategy observed in situations with unreliable or limited information on external conditions. From this, we conclude that during movement planning, a priori knowledge of gravity was not used to specifically customize motor commands for the neutral gravity condition.

  7. Tiny a priori knowledge solves the interior problem in computed tomography.

    PubMed

    Kudo, Hiroyuki; Courdurier, Matias; Noo, Frédéric; Defrise, Michel

    2008-05-01

    Based on the concept of differentiated backprojection (DBP) (Noo et al 2004 Phys. Med. Biol. 49 3903, Pan et al 2005 Med. Phys. 32 673, Defrise et al 2006 Inverse Problems 22 1037), this paper shows that the solution to the interior problem in computed tomography is unique if a tiny a priori knowledge on the object f(x, y) is available in the form that f(x, y) is known on a small region located inside the region of interest. Furthermore, we advance the uniqueness result to obtain more general uniqueness results which can be applied to a wider class of imaging configurations. We also develop a reconstruction algorithm which can be considered an extension of the DBP-POCS (projection onto convex sets) method described by Defrise et al (2006 Inverse Problems 22 1037), where we not only extend this method to the interior problem but also introduce a new POCS algorithm to reduce computational cost. Finally, we present experimental results which show evidence that the inversion corresponding to each obtained uniqueness result is stable.

  8. SOLVING THE INTERIOR PROBLEM OF COMPUTED TOMOGRAPHY USING A PRIORI KNOWLEDGE

    PubMed Central

    Courdurier, M.; Noo, F.; Defrise, M.; Kudo, H.

    2008-01-01

    The case of incomplete tomographic data for a compactly supported attenuation function is studied. When the attenuation function is a priori known in a subregion, we show that a reduced set of measurements is enough to uniquely determine the attenuation function over all the space. Furthermore, we found stability estimates showing that reconstruction can be stable near the region where the attenuation is known. These estimates also suggest that reconstruction stability collapses quickly when approaching the set of points that are viewed under less than 180 degrees. This paper may be seen as a continuation of the work “Truncated Hilbert transform and Image reconstruction from limited tomographic data” that was published in Inverse Problems in 2006. This continuation tackles new cases of incomplete data that could be of interest in applications of computed tomography. PMID:20613970

  9. Converting local spectral and spatial information from a priori classifiers into contextual knowledge for impervious surface classification

    NASA Astrophysics Data System (ADS)

    Luo, Li; Mountrakis, Giorgos

    2011-09-01

    A classification model was demonstrated that explored spectral and spatial contextual information from previously classified neighbors to improve classification of remaining unclassified pixels. The classification was composed by two major steps, the a priori and the a posteriori classifications. The a priori algorithm classified the less difficult image portion. The a posteriori classifier operated on the more challenging image parts and strived to enhance accuracy by converting classified information from the a priori process into specific knowledge. The novelty of this work relies on the substitution of image-wide information with local spectral representations and spatial correlations, in essence classifying each pixel using exclusively neighboring behavior. Furthermore, the a posteriori classifier is a simple and intuitive algorithm, adjusted to perform in a localized setting for the task requirements. A 2001 and a 2006 Landsat scene from Central New York were used to assess the performance on an impervious classification task. The proposed method was compared with a back propagation neural network. Kappa statistic values in the corresponding applicable datasets increased from 18.67 to 24.05 for the 2006 scene, and from 22.92 to 35.76 for the 2001 scene classification, mostly correcting misclassifications between impervious and soil pixels. This finding suggests that simple classifiers have the ability to surpass complex classifiers through incorporation of partial results and an elegant multi-process framework.

  10. A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference

    PubMed Central

    Liu, Aiping; Li, Junning; Wang, Z. Jane; McKeown, Martin J.

    2012-01-01

    Graphical models appear well suited for inferring brain connectivity from fMRI data, as they can distinguish between direct and indirect brain connectivity. Nevertheless, biological interpretation requires not only that the multivariate time series are adequately modeled, but also that there is accurate error-control of the inferred edges. The PCfdr algorithm, which was developed by Li and Wang, was to provide a computationally efficient means to control the false discovery rate (FDR) of computed edges asymptotically. The original PCfdr algorithm was unable to accommodate a priori information about connectivity and was designed to infer connectivity from a single subject rather than a group of subjects. Here we extend the original PCfdr algorithm and propose a multisubject, error-rate-controlled brain connectivity modeling approach that allows incorporation of prior knowledge of connectivity. In simulations, we show that the two proposed extensions can still control the FDR around or below a specified threshold. When the proposed approach is applied to fMRI data in a Parkinson's disease study, we find robust group evidence of the disease-related changes, the compensatory changes, and the normalizing effect of L-dopa medication. The proposed method provides a robust, accurate, and practical method for the assessment of brain connectivity patterns from functional neuroimaging data. PMID:23251232

  11. Extended artificial neural networks: incorporation of a priori chemical knowledge enables use of ion selective electrodes for in-situ measurement of ions at environmentally relevant levels.

    PubMed

    Mueller, Amy V; Hemond, Harold F

    2013-12-15

    A novel artificial neural network (ANN) architecture is proposed which explicitly incorporates a priori system knowledge, i.e., relationships between output signals, while preserving the unconstrained non-linear function estimator characteristics of the traditional ANN. A method is provided for architecture layout, disabling training on a subset of neurons, and encoding system knowledge into the neuron structure. The novel architecture is applied to raw readings from a chemical sensor multi-probe (electric tongue), comprised of off-the-shelf ion selective electrodes (ISEs), to estimate individual ion concentrations in solutions at environmentally relevant concentrations and containing environmentally representative ion mixtures. Conductivity measurements and the concept of charge balance are incorporated into the ANN structure, resulting in (1) removal of estimation bias typically seen with use of ISEs in mixtures of unknown composition and (2) improvement of signal estimation by an order of magnitude or more for both major and minor constituents relative to use of ISEs as stand-alone sensors and error reduction by 30-50% relative to use of standard ANN models. This method is suggested as an alternative to parameterization of traditional models (e.g., Nikolsky-Eisenman), for which parameters are strongly dependent on both analyte concentration and temperature, and to standard ANN models which have no mechanism for incorporation of system knowledge. Network architecture and weighting are presented for the base case where the dot product can be used to relate ion concentrations to both conductivity and charge balance as well as for an extension to log-normalized data where the model can no longer be represented in this manner. While parameterization in this case study is analyte-dependent, the architecture is generalizable, allowing application of this method to other environmental problems for which mathematical constraints can be explicitly stated.

  12. An Approach for the Long-Term 30-m Land Surface Snow-Free Albedo Retrieval from Historic Landsat Surface Reflectance and MODIS-based A Priori Anisotropy Knowledge

    NASA Technical Reports Server (NTRS)

    Shuai, Yanmin; Masek, Jeffrey G.; Gao, Feng; Schaaf, Crystal B.; He, Tao

    2014-01-01

    Land surface albedo has been recognized by the Global Terrestrial Observing System (GTOS) as an essential climate variable crucial for accurate modeling and monitoring of the Earth's radiative budget. While global climate studies can leverage albedo datasets from MODIS, VIIRS, and other coarse-resolution sensors, many applications in heterogeneous environments can benefit from higher-resolution albedo products derived from Landsat. We previously developed a "MODIS-concurrent" approach for the 30-meter albedo estimation which relied on combining post-2000 Landsat data with MODIS Bidirectional Reflectance Distribution Function (BRDF) information. Here we present a "pre-MODIS era" approach to extend 30-m surface albedo generation in time back to the 1980s, through an a priori anisotropy Look-Up Table (LUT) built up from the high quality MCD43A BRDF estimates over representative homogenous regions. Each entry in the LUT reflects a unique combination of land cover, seasonality, terrain information, disturbance age and type, and Landsat optical spectral bands. An initial conceptual LUT was created for the Pacific Northwest (PNW) of the United States and provides BRDF shapes estimated from MODIS observations for undisturbed and disturbed surface types (including recovery trajectories of burned areas and non-fire disturbances). By accepting the assumption of a generally invariant BRDF shape for similar land surface structures as a priori information, spectral white-sky and black-sky albedos are derived through albedo-to-nadir reflectance ratios as a bridge between the Landsat and MODIS scale. A further narrow-to-broadband conversion based on radiative transfer simulations is adopted to produce broadband albedos at visible, near infrared, and shortwave regimes.We evaluate the accuracy of resultant Landsat albedo using available field measurements at forested AmeriFlux stations in the PNW region, and examine the consistency of the surface albedo generated by this approach

  13. A Priori Identifiability Analysis of Cardiovascular Models

    PubMed Central

    Kirk, Jonathan A.; Saccomani, Maria P.; Shroff, Sanjeev G.

    2013-01-01

    Model parameters, estimated from experimentally measured data, can provide insight into biological processes that are not experimentally measurable. Whether this optimized parameter set is a physiologically relevant complement to the experimentally measured data, however, depends on the optimized parameter set being unique, a model property known as a priori global identifiability. However, a priori identifiability analysis is not common practice in the biological world, due to the lack of easy-to-use tools. Here we present a program, Differential Algebra for Identifiability of Systems (DAISY), that facilitates identifiability analysis. We applied DAISY to several cardiovascular models: systemic arterial circulation (Windkessel, T-Tube) and cardiac muscle contraction (complex stiffness, crossbridge cycling-based). All models were globally identifiable except the T-Tube model. In this instance, DAISY was able to provide insight into making the model identifiable. We applied numerical parameter optimization techniques to estimate unknown parameters in a model DAISY found globally identifiable. While all the parameters could be accurately estimated, a sensitivity analysis was first necessary to identify the required experimental data. Global identifiability is a prerequisite for numerical parameter optimization, and in a variety of cardiovascular models, DAISY provided a reliable, fast, and simple platform to provide this identifiability analysis. PMID:26726299

  14. Predictive a priori pressure-dependent kinetics.

    PubMed

    Jasper, Ahren W; Pelzer, Kenley M; Miller, James A; Kamarchik, Eugene; Harding, Lawrence B; Klippenstein, Stephen J

    2014-12-01

    The ability to predict the pressure dependence of chemical reaction rates would be a great boon to kinetic modeling of processes such as combustion and atmospheric chemistry. This pressure dependence is intimately related to the rate of collision-induced transitions in energy E and angular momentum J. We present a scheme for predicting this pressure dependence based on coupling trajectory-based determinations of moments of the E,J-resolved collisional transfer rates with the two-dimensional master equation. This completely a priori procedure provides a means for proceeding beyond the empiricism of prior work. The requisite microcanonical dissociation rates are obtained from ab initio transition state theory. Predictions for the CH4 = CH3 + H and C2H3 = C2H2 + H reaction systems are in excellent agreement with experiment. PMID:25477457

  15. Structural a priori information for reflection tomography

    SciTech Connect

    Jannaud, L.; Delprat-Jannaud, F.

    1994-12-31

    The model calculated by traveltime inversion is underdetermined. One solution to this problem is to introduce a priori information so as to reduce the set of possible solutions to those satisfactory from a geological point of view. In this paper, the authors impose geological constraints on the relative position of the reflectors and in particular on the location in depth of faults. To implement this method in the context of a Gauss-Newton algorithm for the inversion, the Jacobian of the impact points with respect to the model is computed. They thus compute, using the adjoint state technique, the exact jacobian at a low computational cost. To illustrate the efficiency of the method, field data acquired on fault structures are inversed. They obtain a structural model which is satisfactory from both a kinematic and a geological point of view.

  16. Predictive a priori pressure-dependent kinetics.

    PubMed

    Jasper, Ahren W; Pelzer, Kenley M; Miller, James A; Kamarchik, Eugene; Harding, Lawrence B; Klippenstein, Stephen J

    2014-12-01

    The ability to predict the pressure dependence of chemical reaction rates would be a great boon to kinetic modeling of processes such as combustion and atmospheric chemistry. This pressure dependence is intimately related to the rate of collision-induced transitions in energy E and angular momentum J. We present a scheme for predicting this pressure dependence based on coupling trajectory-based determinations of moments of the E,J-resolved collisional transfer rates with the two-dimensional master equation. This completely a priori procedure provides a means for proceeding beyond the empiricism of prior work. The requisite microcanonical dissociation rates are obtained from ab initio transition state theory. Predictions for the CH4 = CH3 + H and C2H3 = C2H2 + H reaction systems are in excellent agreement with experiment.

  17. Measurement, coordination, and the relativized a priori

    NASA Astrophysics Data System (ADS)

    Padovani, Flavia

    2015-11-01

    The problem of measurement is a central issue in the epistemology and methodology of the physical sciences. In recent literature on scientific representation, large emphasis has been put on the "constitutive role" played by measurement procedures as forms of representation. Despite its importance, this issue hardly finds any mention in writings on constitutive principles, viz. in Michael Friedman's account of relativized a priori principles. This issue, instead, was at the heart of Reichenbach's analysis of coordinating principles that has inspired Friedman's interpretation. This paper suggests that these procedures should have a part in an account of constitutive principles of science, and that they could be interpreted following the intuition originally present (but ultimately not fully developed) in Reichenbach's early work.

  18. Conventional Principles in Science: On the foundations and development of the relativized a priori

    NASA Astrophysics Data System (ADS)

    Ivanova, Milena; Farr, Matt

    2015-11-01

    The present volume consists of a collection of papers originally presented at the conference Conventional Principles in Science, held at the University of Bristol, August 2011, which featured contributions on the history and contemporary development of the notion of 'relativized a priori' principles in science, from Henri Poincaré's conventionalism to Michael Friedman's contemporary defence of the relativized a priori. In Science and Hypothesis, Poincaré assessed the problematic epistemic status of Euclidean geometry and Newton's laws of motion, famously arguing that each has the status of 'convention' in that their justification is neither analytic nor empirical in nature. In The Theory of Relativity and A Priori Knowledge, Hans Reichenbach, in light of the general theory of relativity, proposed an updated notion of the Kantian synthetic a priori to account for the dynamic inter-theoretic status of geometry and other non-empirical physical principles. Reichenbach noted that one may reject the 'necessarily true' aspect of the synthetic a priori whilst preserving the feature of being constitutive of the object of knowledge. Such constitutive principles are theory-relative, as illustrated by the privileged role of non-Euclidean geometry in general relativity theory. This idea of relativized a priori principles in spacetime physics has been analysed and developed at great length in the modern literature in the work of Michael Friedman, in particular the roles played by the light postulate and the equivalence principle - in special and general relativity respectively - in defining the central terms of their respective theories and connecting the abstract mathematical formalism of the theories with their empirical content. The papers in this volume guide the reader through the historical development of conventional and constitutive principles in science, from the foundational work of Poincaré, Reichenbach and others, to contemporary issues and applications of the

  19. Comparison of a priori calibration models for respiratory inductance plethysmography during running.

    PubMed

    Leutheuser, Heike; Heyde, Christian; Gollhofer, Albert; Eskofier, Bjoern M

    2014-01-01

    Respiratory inductive plethysmography (RIP) has been introduced as an alternative for measuring ventilation by means of body surface displacement (diameter changes in rib cage and abdomen). Using a posteriori calibration, it has been shown that RIP may provide accurate measurements for ventilatory tidal volume under exercise conditions. Methods for a priori calibration would facilitate the application of RIP. Currently, to the best knowledge of the authors, none of the existing ambulant procedures for RIP calibration can be used a priori for valid subsequent measurements of ventilatory volume under exercise conditions. The purpose of this study is to develop and validate a priori calibration algorithms for ambulant application of RIP data recorded in running exercise. We calculated Volume Motion Coefficients (VMCs) using seven different models on resting data and compared the root mean squared error (RMSE) of each model applied on running data. Least squares approximation (LSQ) without offset of a two-degree-of-freedom model achieved the lowest RMSE value. In this work, we showed that a priori calibration of RIP exercise data is possible using VMCs calculated from 5 min resting phase where RIP and flowmeter measurements were performed simultaneously. The results demonstrate that RIP has the potential for usage in ambulant applications.

  20. Comparison of a priori calibration models for respiratory inductance plethysmography during running.

    PubMed

    Leutheuser, Heike; Heyde, Christian; Gollhofer, Albert; Eskofier, Bjoern M

    2014-01-01

    Respiratory inductive plethysmography (RIP) has been introduced as an alternative for measuring ventilation by means of body surface displacement (diameter changes in rib cage and abdomen). Using a posteriori calibration, it has been shown that RIP may provide accurate measurements for ventilatory tidal volume under exercise conditions. Methods for a priori calibration would facilitate the application of RIP. Currently, to the best knowledge of the authors, none of the existing ambulant procedures for RIP calibration can be used a priori for valid subsequent measurements of ventilatory volume under exercise conditions. The purpose of this study is to develop and validate a priori calibration algorithms for ambulant application of RIP data recorded in running exercise. We calculated Volume Motion Coefficients (VMCs) using seven different models on resting data and compared the root mean squared error (RMSE) of each model applied on running data. Least squares approximation (LSQ) without offset of a two-degree-of-freedom model achieved the lowest RMSE value. In this work, we showed that a priori calibration of RIP exercise data is possible using VMCs calculated from 5 min resting phase where RIP and flowmeter measurements were performed simultaneously. The results demonstrate that RIP has the potential for usage in ambulant applications. PMID:25571459

  1. Integrating a priori information in edge-linking algorithms

    NASA Astrophysics Data System (ADS)

    Farag, Aly A.; Cao, Yu; Yeap, Yuen-Pin

    1992-09-01

    This research presents an approach to integrate a priori information to the path metric of the LINK algorithm. The zero-crossing contours of the $DEL2G are taken as a gross estimate of the boundaries in the image. This estimate of the boundaries is used to define the swath of important information, and to provide a distance measure for edge localization. During the linking process, a priori information plays important roles in (1) dramatically reducing the search space because the actual path lies within +/- 2 (sigma) f from the prototype contours ((sigma) f is the standard deviation of the Gaussian kernel used in the edge enhancement step); (2) breaking the ties when the search metrics give uncertain information; and (3) selecting the set of goal nodes for the search algorithm. We show that the integration of a priori information in the LINK algorithms provides faster and more accurate edge linking.

  2. Ex Priori: Exposure-based Prioritization across Chemical Space

    EPA Science Inventory

    EPA's Exposure Prioritization (Ex Priori) is a simplified, quantitative visual dashboard that makes use of data from various inputs to provide rank-ordered internalized dose metric. This complements other high throughput screening by viewing exposures within all chemical space si...

  3. "A Priori" Assessment of Language Learning Tasks by Practitioners

    ERIC Educational Resources Information Center

    Westhoff, Gerard J.

    2009-01-01

    Teachers' competence to estimate the effectiveness of learning materials is important and often neglected in programmes for teacher education. In this lecture I will try to explore the possibilities of designing scaffolding instruments for a "priori" assessment of language learning tasks, based on insights from SLA and cognitive psychology, more…

  4. Knowledge.

    ERIC Educational Resources Information Center

    Online-Offline, 1999

    1999-01-01

    This theme issue on knowledge includes annotated listings of Web sites, CD-ROMs and computer software, videos, books, and additional resources that deal with knowledge and differences between how animals and humans learn. Sidebars discuss animal intelligence, learning proper behavior, and getting news from the Internet. (LRW)

  5. First-arrival traveltime sound speed inversion with a priori information

    PubMed Central

    Hooi, Fong Ming; Carson, Paul L.

    2014-01-01

    Purpose: A first-arrival travel-time sound speed algorithm presented byTarantola [Inverse Problem Theory and Methods for Model Parameter Estimation (SIAM, Philadelphia, PA, 2005)] is adapted to the medical ultrasonics setting. Through specification of a covariance matrix for the object model, the algorithm allows for natural inclusion of physical a priori information of the object. The algorithm's ability to accurately and robustly reconstruct a complex sound speed distribution is demonstrated on simulation and experimental data using a limited aperture. Methods: The algorithm is first demonstrated generally in simulation with a numerical breast phantom imaged in different geometries. As this work is motivated by the authors' limited aperture dual sided ultrasound breast imaging system, experimental data are acquired with a Verasonics system with dual, 128 element, linear L7-4 arrays. The transducers are automatically calibrated for usage in the eikonal forward model.A priori information such as knowledge of correlated regions within the object is obtained via segmentation of B-mode images generated from synthetic aperture imaging. Results: As one illustration of the algorithm's facility for inclusion ofa priori information, physically grounded regularization is demonstrated in simulation. The algorithm's practicality is then demonstrated through experimental realization in limited aperture cases. Reconstructions of sound speed distributions of various complexity are improved through inclusion of a priori information. The sound speed maps are generally reconstructed with accuracy within a few m/s. Conclusions: This paper demonstrates the ability to form sound speed images using two opposed commercial linear arrays to mimic ultrasound image acquisition in the compressed mammographic geometry. The ability to create reasonably good speed of sound images in the compressed mammographic geometry allows images to be readily coregistered to tomosynthesis image volumes for

  6. Bioluminescence tomography with structural and functional a priori information

    NASA Astrophysics Data System (ADS)

    Yan, Han; Unlu, Mehmet B.; Nalcioglu, Orhan; Gulsen, Gultekin

    2010-02-01

    Multispectral bioluminescence tomography (BLT) is one of the seemingly promising approaches to recover 3D tomographic images of bioluminescence source distribution in vivo. In bioluminescence tomography, internal light source, such as luciferase is activated within a volume and multiple wavelength emission data from the internal bioluminescence sources is acquired for reconstruction. The underline non-uniqueness problem associated with non-spectrally resolved intensity-based bioluminescence tomography was demonstrated by Dehghani et al. and it also shown that using a spectrally resolved technique, an accurate solution for the source distribution can be calculated from the measured data if both functional and anatomical a priori information are at hand. Thus it is of great desire to develop an imaging system that is capable of simultaneously acquiring both the optical and structural a priori information as well as acquiring the bioluminescence data. In this paper we present our first combined optical tomography and CT system which constitutes with a cool CCD camera ( perkin elmer "cold blue"), laser launching units and Xray CT( Dxray proto-type). It is capable of acquiring non contact diffuse optical tomography (DOT) data which is used for functional a priori; X-ray CT images which yields the structure information; and BLT images. Physical phantom experiments are designed to verify the system accuracy, repeatability and resolution. These studies shows the feasibility of such imaging system and its potential.

  7. A priori discretization quality metrics for distributed hydrologic modeling applications

    NASA Astrophysics Data System (ADS)

    Liu, Hongli; Tolson, Bryan; Craig, James; Shafii, Mahyar; Basu, Nandita

    2016-04-01

    In distributed hydrologic modelling, a watershed is treated as a set of small homogeneous units that address the spatial heterogeneity of the watershed being simulated. The ability of models to reproduce observed spatial patterns firstly depends on the spatial discretization, which is the process of defining homogeneous units in the form of grid cells, subwatersheds, or hydrologic response units etc. It is common for hydrologic modelling studies to simply adopt a nominal or default discretization strategy without formally assessing alternative discretization levels. This approach lacks formal justifications and is thus problematic. More formalized discretization strategies are either a priori or a posteriori with respect to building and running a hydrologic simulation model. A posteriori approaches tend to be ad-hoc and compare model calibration and/or validation performance under various watershed discretizations. The construction and calibration of multiple versions of a distributed model can become a seriously limiting computational burden. Current a priori approaches are more formalized and compare overall heterogeneity statistics of dominant variables between candidate discretization schemes and input data or reference zones. While a priori approaches are efficient and do not require running a hydrologic model, they do not fully investigate the internal spatial pattern changes of variables of interest. Furthermore, the existing a priori approaches focus on landscape and soil data and do not assess impacts of discretization on stream channel definition even though its significance has been noted by numerous studies. The primary goals of this study are to (1) introduce new a priori discretization quality metrics considering the spatial pattern changes of model input data; (2) introduce a two-step discretization decision-making approach to compress extreme errors and meet user-specified discretization expectations through non-uniform discretization threshold

  8. A priori physicalism, lonely ghosts and Cartesian doubt.

    PubMed

    Goff, Philip

    2012-06-01

    A zombie is a physical duplicates of a human being which lacks consciousness. A ghost is a phenomenal duplicate of a human being whose nature is exhausted by consciousness. Discussion of zombie arguments, that is anti-physicalist arguments which appeal to the conceivability of zombies, is familiar in the philosophy of mind literature, whilst ghostly arguments, that is, anti-physicalist arguments which appeal to the conceivability of ghosts, are somewhat neglected. In this paper I argue that ghostly arguments have a number of dialectical advantages over zombie arguments. I go onto explain how the conceivability of ghosts is inconsistent with two kinds of a priori physicalism: analytic functionalism and the Australian physicalism of Armstrong and Lewis.

  9. A priori physicalism, lonely ghosts and Cartesian doubt.

    PubMed

    Goff, Philip

    2012-06-01

    A zombie is a physical duplicates of a human being which lacks consciousness. A ghost is a phenomenal duplicate of a human being whose nature is exhausted by consciousness. Discussion of zombie arguments, that is anti-physicalist arguments which appeal to the conceivability of zombies, is familiar in the philosophy of mind literature, whilst ghostly arguments, that is, anti-physicalist arguments which appeal to the conceivability of ghosts, are somewhat neglected. In this paper I argue that ghostly arguments have a number of dialectical advantages over zombie arguments. I go onto explain how the conceivability of ghosts is inconsistent with two kinds of a priori physicalism: analytic functionalism and the Australian physicalism of Armstrong and Lewis. PMID:21459620

  10. A generalized a priori dose uncertainty model of IMRT delivery.

    PubMed

    Jin, Hosang; Palta, Jatinder; Suh, Tae-Suk; Kim, Siyong

    2008-03-01

    Multileaf collimator-based intensity modulated radiation therapy (IMRT) is complex because each intensity modulated field consists of hundreds of subfields, each of which is associated with an intricate interplay of uncertainties. In this study, the authors have revised the previously introduced uncertainty model to provide an a priori accurate prediction of dose uncertainty during treatment planning in IMRT. In the previous model, the dose uncertainties were categorized into space-oriented dose uncertainty (SOU) and nonspace-oriented dose uncertainty (NOU). The revised model further divided the uncertainty sources into planning and delivery. SOU and NOU associated with a planning system were defined as inherent dose uncertainty. A convolution method with seven degrees of freedom was also newly applied to generalize the model for practical clinical cases. The model parameters were quantified through a set of measurements, accumulated routine quality assurance (QA) data, and peer-reviewed publications. The predicted uncertainty maps were compared with dose difference distributions between computations and 108 simple open-field measurements using a two-dimensional diode array detector to verify the validity of the model parameters and robustness of the generalized model. To examine the applicability of the model to overall dose uncertainty prediction in IMRT, a retrospective analysis of QA measurements using the diode array detector for 32 clinical IM fields was also performed. A scatter diagram and a correlation coefficient were employed to investigate a correlation of the predicted dose uncertainty distribution with the dose discrepancy distribution between calculation and delivery. In addition, a gamma test was performed to correlate failed regions in dose verification with the dose uncertainty map. The quantified model parameters well correlated the predicted dose uncertainty with the probable dose difference between calculations and measurements. It was visually

  11. Perfusion from angiogram and a priori (PAP) with temporal regularization

    NASA Astrophysics Data System (ADS)

    Taguchi, Katsuyuki; Geschwind, Jean-Francois H.

    2009-02-01

    Perfusion imaging is often used for diagnosis and for assessment of the response to the treatment. If perfusion can be measured during interventional procedures, it could lead to quantitative, more efficient and accurate treatment; however, imaging modalities that allow continuous dynamic scanning are not available in most of procedure rooms. Thus, we developed a method to measure the perfusion-time attenuation curves (TACs)-of regions-of-interest (ROIs) using xray C-arm angiography system with no gantry rotation but with a priori. The previous study revealed a problem of large oscillations in the estimated TACs and the lack of comparison with CT-based approaches. Thus the purposes of this study were (1) to reduce the variance of TDCs; and (2) to compare the performance of the improved PAP with that of the CT-based perfusion method. Our computer simulation study showed that the standard deviation of PAP method was decreased by 10.7-59.0% and that it outperformed (20× or 200× times) higher dose CT methods in terms of the accuracy, variance, and the temporal resolution.

  12. Precise regional baseline estimation using a priori orbital information

    NASA Technical Reports Server (NTRS)

    Lindqwister, Ulf J.; Lichten, Stephen M.; Blewitt, Geoffrey

    1990-01-01

    A solution using GPS measurements acquired during the CASA Uno campaign has resulted in 3-4 mm horizontal daily baseline repeatability and 13 mm vertical repeatability for a 729 km baseline, located in North America. The agreement with VLBI is at the level of 10-20 mm for all components. The results were obtained with the GIPSY orbit determination and baseline estimation software and are based on five single-day data arcs spanning the 20, 21, 25, 26, and 27 of January, 1988. The estimation strategy included resolving the carrier phase integer ambiguities, utilizing an optial set of fixed reference stations, and constraining GPS orbit parameters by applying a priori information. A multiday GPS orbit and baseline solution has yielded similar 2-4 mm horizontal daily repeatabilities for the same baseline, consistent with the constrained single-day arc solutions. The application of weak constraints to the orbital state for single-day data arcs produces solutions which approach the precise orbits obtained with unconstrained multiday arc solutions.

  13. Determining the a priori seismic hazard of potential geothermal sites

    NASA Astrophysics Data System (ADS)

    Visser, K.; van der Burgt, J. C.

    2011-12-01

    The induced seismicity at geothermal sites gives insight into fluid pathways induced by hydraulic fracturing. Another (unwanted) effect is the triggering of sometimes larger seismic events. The European research program GEISER covers all aspects of induced/triggered seismicity during Enhanced Geothermal System operations (EGS). This study deals with the seismic hazard associated with geothermal sites, also covered in the GEISER program. Inherently, traditional probabilistic seismic hazard approaches cannot give an indication of the seismic hazard of an EGS site before production. We aim to develop a method that determines an a priori seismic hazard before commencing EGS operations, which may be updated during production using the more traditional probabilistic seismic hazard approaches. Such a general insight in the expected seismicity of a potential site will assist decision makers in selecting the sites that are not likely to develop larger ('felt') seismicity. The approach we follow is based on a statistical method which uses the induced seismicity occurring at existing EGS sites as input as well as parameters related to production properties and subsurface characteristics. A similar study based on induced seismicity due to gas depletion in the Netherlands found several critical parameters for induced seismicity correlated with gas depletion such as pressure depletion, Young's modulus contrast and fault density. In this research, we focus on finding physical parameters which have predictive properties for induced seismicity on geothermal sites. First information was gathered on several geothermal sites, such as Soultz-Sous-Forêts, Basel, Berlin (El Salvador), Bouillante (French Antilles), Gross Schönebeck and KTB. The gathered information was used to test the predictive properties of parameters for larger ('felt') induced seismicity such as injection pressure, duration of injection, pore pressure changes, natural/induced fracture network, tectonic potential

  14. Predicting folding-unfolding transitions in proteins without a priori knowledge of the folded state

    NASA Astrophysics Data System (ADS)

    Okan, Osman; Turgut, Deniz; Garcia, Angel; Ozisik, Rahmi

    2013-03-01

    The common computational method of studying folding transitions in proteins is to compare simulated conformations against the folded structure, but this method obviously requires the folded structure to be known beforehand. In the current study, we show that the use of bond orientational order parameter (BOOP) Ql [Steinhardt PJ, Nelson DR, Ronchetti M, Phys. Rev. B 1983, 28, 784] is a viable alternative to the commonly adopted root mean squared distance (RMSD) measure in probing conformational transitions. Replica exchange molecular dynamics simulations of the trp-cage protein (with 20 residues) in TIP-3P water were used to compare BOOP against RMSD. The results indicate that the correspondence between BOOP and RMSD time series become stronger with increasing l. We finally show that robust linear models that incorporate different Ql can be parameterized from a given replica run and can be used to study other replica trajectories. This work is partially supported by NSF DUE-1003574.

  15. Using a priori knowledge for developing bolometric tomography in toroidal devices

    NASA Astrophysics Data System (ADS)

    Sano, Ryuichi; Peterson, Byron J.; Mukai, Kiyofumi; Teranishi, Masaru; Iwama, Naofumi; Kobayashi, Masahiro

    2016-11-01

    In tomographic imaging of magnetically confined toroidal plasmas, a countermeasure against missing observation has been studied in terms of the adoption of prior information based on modelled plasma profiles. The Tikhonov regularization for image reconstruction is extended by the use of the Euclidean distance. A procedure of model fitting is designed in order to adaptively generate the reference image. The new method is tested on a typical example of ill-conditioned tomography, that is, the three-dimensional imaging-bolometer tomography in the large helical device. It has been found that the new method is useful for diminishing artifacts and thus for better recognizing the radiation structure of plasma.

  16. Impact of modellers' decisions on hydrological a priori predictions

    NASA Astrophysics Data System (ADS)

    Holländer, H. M.; Bormann, H.; Blume, T.; Buytaert, W.; Chirico, G. B.; Exbrayat, J.-F.; Gustafsson, D.; Hölzel, H.; Krauße, T.; Kraft, P.; Stoll, S.; Blöschl, G.; Flühler, H.

    2013-07-01

    The purpose of this paper is to stimulate a re-thinking of how we, the catchment hydrologists, could become reliable forecasters. A group of catchment modellers predicted the hydrological response of a man-made 6 ha catchment in its initial phase (Chicken Creek) without having access to the observed records. They used conceptually different model families. Their modelling experience differed largely. The prediction exercise was organized in three steps: (1) for the 1st prediction modellers received a basic data set describing the internal structure of the catchment (somewhat more complete than usually available to a priori predictions in ungauged catchments). They did not obtain time series of stream flow, soil moisture or groundwater response. (2) Before the 2nd improved prediction they inspected the catchment on-site and attended a workshop where the modellers presented and discussed their first attempts. (3) For their improved 3rd prediction they were offered additional data by charging them pro forma with the costs for obtaining this additional information. Holländer et al. (2009) discussed the range of predictions obtained in step 1. Here, we detail the modeller's decisions in accounting for the various processes based on what they learned during the field visit (step 2) and add the final outcome of step 3 when the modellers made use of additional data. We document the prediction progress as well as the learning process resulting from the availability of added information. For the 2nd and 3rd step, the progress in prediction quality could be evaluated in relation to individual modelling experience and costs of added information. We learned (i) that soft information such as the modeller's system understanding is as important as the model itself (hard information), (ii) that the sequence of modelling steps matters (field visit, interactions between differently experienced experts, choice of model, selection of available data, and methods for parameter guessing

  17. Impact of modellers' decisions on hydrological a priori predictions

    NASA Astrophysics Data System (ADS)

    Holländer, H. M.; Bormann, H.; Blume, T.; Buytaert, W.; Chirico, G. B.; Exbrayat, J.-F.; Gustafsson, D.; Hölzel, H.; Krauße, T.; Kraft, P.; Stoll, S.; Blöschl, G.; Flühler, H.

    2014-06-01

    In practice, the catchment hydrologist is often confronted with the task of predicting discharge without having the needed records for calibration. Here, we report the discharge predictions of 10 modellers - using the model of their choice - for the man-made Chicken Creek catchment (6 ha, northeast Germany, Gerwin et al., 2009b) and we analyse how well they improved their prediction in three steps based on adding information prior to each following step. The modellers predicted the catchment's hydrological response in its initial phase without having access to the observed records. They used conceptually different physically based models and their modelling experience differed largely. Hence, they encountered two problems: (i) to simulate discharge for an ungauged catchment and (ii) using models that were developed for catchments, which are not in a state of landscape transformation. The prediction exercise was organized in three steps: (1) for the first prediction the modellers received a basic data set describing the catchment to a degree somewhat more complete than usually available for a priori predictions of ungauged catchments; they did not obtain information on stream flow, soil moisture, nor groundwater response and had therefore to guess the initial conditions; (2) before the second prediction they inspected the catchment on-site and discussed their first prediction attempt; (3) for their third prediction they were offered additional data by charging them pro forma with the costs for obtaining this additional information. Holländer et al. (2009) discussed the range of predictions obtained in step (1). Here, we detail the modeller's assumptions and decisions in accounting for the various processes. We document the prediction progress as well as the learning process resulting from the availability of added information. For the second and third steps, the progress in prediction quality is evaluated in relation to individual modelling experience and costs of

  18. Validating Affordances as an Instrument for Design and a Priori Analysis of Didactical Situations in Mathematics

    ERIC Educational Resources Information Center

    Sollervall, Håkan; Stadler, Erika

    2015-01-01

    The aim of the presented case study is to investigate how coherent analytical instruments may guide the a priori and a posteriori analyses of a didactical situation. In the a priori analysis we draw on the notion of affordances, as artefact-mediated opportunities for action, to construct hypothetical trajectories of goal-oriented actions that have…

  19. Use of a priori statistics to minimize acquisition time for RFI immune spread spectrum systems

    NASA Technical Reports Server (NTRS)

    Holmes, J. K.; Woo, K. T.

    1978-01-01

    The optimum acquisition sweep strategy was determined for a PN code despreader when the a priori probability density function was not uniform. A psuedo noise spread spectrum system was considered which could be utilized in the DSN to combat radio frequency interference. In a sample case, when the a priori probability density function was Gaussian, the acquisition time was reduced by about 41% compared to a uniform sweep approach.

  20. An algorithm for finding biologically significant features in microarray data based on a priori manifold learning.

    PubMed

    Hira, Zena M; Trigeorgis, George; Gillies, Duncan F

    2014-01-01

    Microarray databases are a large source of genetic data, which, upon proper analysis, could enhance our understanding of biology and medicine. Many microarray experiments have been designed to investigate the genetic mechanisms of cancer, and analytical approaches have been applied in order to classify different types of cancer or distinguish between cancerous and non-cancerous tissue. However, microarrays are high-dimensional datasets with high levels of noise and this causes problems when using machine learning methods. A popular approach to this problem is to search for a set of features that will simplify the structure and to some degree remove the noise from the data. The most widely used approach to feature extraction is principal component analysis (PCA) which assumes a multivariate Gaussian model of the data. More recently, non-linear methods have been investigated. Among these, manifold learning algorithms, for example Isomap, aim to project the data from a higher dimensional space onto a lower dimension one. We have proposed a priori manifold learning for finding a manifold in which a representative set of microarray data is fused with relevant data taken from the KEGG pathway database. Once the manifold has been constructed the raw microarray data is projected onto it and clustering and classification can take place. In contrast to earlier fusion based methods, the prior knowledge from the KEGG databases is not used in, and does not bias the classification process--it merely acts as an aid to find the best space in which to search the data. In our experiments we have found that using our new manifold method gives better classification results than using either PCA or conventional Isomap. PMID:24595155

  1. Lost in space: Onboard star identification using CCD star tracker data without an a priori attitude

    NASA Technical Reports Server (NTRS)

    Ketchum, Eleanor A.; Tolson, Robert H.

    1993-01-01

    There are many algorithms in use today which determine spacecraft attitude by identifying stars in the field of view of a star tracker. Some methods, which date from the early 1960's, compare the angular separation between observed stars with a small catalog. In the last 10 years, several methods have been developed which speed up the process and reduce the amount of memory needed, a key element to onboard attitude determination. However, each of these methods require some a priori knowledge of the spacecraft attitude. Although the Sun and magnetic field generally provide the necessary coarse attitude information, there are occasions when a spacecraft could get lost when it is not prudent to wait for sunlight. Also, the possibility of efficient attitude determination using only the highly accurate CCD star tracker could lead to fully autonomous spacecraft attitude determination. The need for redundant coarse sensors could thus be eliminated at substantial cost reduction. Some groups have extended their algorithms to implement a computation intense full sky scan. Some require large data bases. Both storage and speed are concerns for autonomous onboard systems. Neural network technology is even being explored by some as a possible solution, but because of the limited number of patterns that can be stored and large overhead, nothing concrete has resulted from these efforts. This paper presents an algorithm which, by descretizing the sky and filtering by visual magnitude of the brightness observed star, speeds up the lost in space star identification process while reducing the amount of necessary onboard computer storage compared to existing techniques.

  2. Interior tomography with radial Hilbert filtering and a priori information in a small circular area

    NASA Astrophysics Data System (ADS)

    Tang, Shaojie; Yang, Yi; Tang, Xiangyang

    2012-03-01

    Interior tomography problem can be solved using the so-called differentiated backprojection-projection onto convex sets (DBP-POCS) method, which requires a priori information within a small area interior to the region of interest (ROI) to be imaged. In theory, the small area wherein the a priori information is required can be in any shape, but most of the existing implementations carry out the Hilbert filtering either horizontally or vertically, leading to a vertical or horizontal strip that may be across a large area in the object. In this work, we specifically re-derive the reconstruction formula in the DBP-POCS fashion with radial Hilbert filtering (namely radial DBP-POCS method henceforth). We implement the radial DBP-POCS method, and thus the small area with the a priori information can be roughly circular (e.g., a sinus or ventricles among other anatomic cavities in human or animal body). We also conduct an experimental evaluation to verify the performance of this practical implementation. The performance of the radial DBP-POCS method with the a priori information in a small circular area is evaluated with projection data of the standard Shepp-Logan phantom simulated by computer. The preliminary performance study shows that, if the a priori information in a small circular area is available, the radial DBP-POCS method can solve the interior tomography problem in a much more practical way at high accuracy. In comparison to the implementations of DBP-POCS method demanding the a priori information in horizontal or vertical strip, the radial DBP-POCS method requires the a priori information within a small circular area only. Such a relaxed requirement on the availability of a priori information can be readily met in practice, because a variety of small circular areas (e.g., air-filled sinuses or fluid-filled ventricles among other anatomic cavities) exist in human or animal body. Therefore, the radial DBP-POCS method with a priori information in a small circular

  3. Mediterranean Diet and Cardiovascular Disease: A Critical Evaluation of A Priori Dietary Indexes

    PubMed Central

    D’Alessandro, Annunziata; De Pergola, Giovanni

    2015-01-01

    The aim of this paper is to analyze the a priori dietary indexes used in the studies that have evaluated the role of the Mediterranean Diet in influencing the risk of developing cardiovascular disease. All the studies show that this dietary pattern protects against cardiovascular disease, but studies show quite different effects on specific conditions such as coronary heart disease or cerebrovascular disease. A priori dietary indexes used to measure dietary exposure imply quantitative and/or qualitative divergences from the traditional Mediterranean Diet of the early 1960s, and, therefore, it is very difficult to compare the results of different studies. Based on real cultural heritage and traditions, we believe that the a priori indexes used to evaluate adherence to the Mediterranean Diet should consider classifying whole grains and refined grains, olive oil and monounsaturated fats, and wine and alcohol differently. PMID:26389950

  4. Bayesian classification of polarimetric SAR images using adaptive a priori probabilities

    NASA Technical Reports Server (NTRS)

    Van Zyl, J. J.; Burnette, C. F.

    1992-01-01

    The problem of classifying earth terrain by observed polarimetric scattering properties is tackled with an iterative Bayesian scheme using a priori probabilities adaptively. The first classification is based on the use of fixed and not necessarily equal a priori probabilities, and successive iterations change the a priori probabilities adaptively. The approach is applied to an SAR image in which a single water body covers 10 percent of the image area. The classification accuracy for ocean, urban, vegetated, and total area increase, and the percentage of reclassified pixels decreases greatly as the iteration number increases. The iterative scheme is found to improve the a posteriori classification accuracy of maximum likelihood classifiers by iteratively using the local homogeneity in polarimetric SAR images. A few iterations can improve the classification accuracy significantly without sacrificing key high-frequency detail or edges in the image.

  5. Mediterranean Diet and Cardiovascular Disease: A Critical Evaluation of A Priori Dietary Indexes.

    PubMed

    D'Alessandro, Annunziata; De Pergola, Giovanni

    2015-09-01

    The aim of this paper is to analyze the a priori dietary indexes used in the studies that have evaluated the role of the Mediterranean Diet in influencing the risk of developing cardiovascular disease. All the studies show that this dietary pattern protects against cardiovascular disease, but studies show quite different effects on specific conditions such as coronary heart disease or cerebrovascular disease. A priori dietary indexes used to measure dietary exposure imply quantitative and/or qualitative divergences from the traditional Mediterranean Diet of the early 1960s, and, therefore, it is very difficult to compare the results of different studies. Based on real cultural heritage and traditions, we believe that the a priori indexes used to evaluate adherence to the Mediterranean Diet should consider classifying whole grains and refined grains, olive oil and monounsaturated fats, and wine and alcohol differently. PMID:26389950

  6. Unequal a priori probability multiple hypothesis testing in space domain awareness with the space surveillance telescope.

    PubMed

    Hardy, Tyler; Cain, Stephen; Blake, Travis

    2016-05-20

    This paper investigates the ability to improve Space Domain Awareness (SDA) by increasing the number of detectable Resident Space Objects (RSOs) from space surveillance sensors. With matched filter based techniques, the expected impulse response, or Point Spread Function (PSF), is compared against the received data. In the situation where the images are spatially undersampled, the modeled PSF may not match the received data if the RSO does not fall in the center of the pixel. This aliasing can be accounted for with a Multiple Hypothesis Test (MHT). Previously, proposed MHTs have implemented a test with an equal a priori prior probability assumption. This paper investigates using an unequal a priori probability MHT. To determine accurate a priori probabilities, three metrics are computed; they are correlation, physical distance, and empirical. Using the calculated a priori probabilities, a new algorithm is developed, and images from the Space Surveillance Telescope (SST) are analyzed. The number of detected objects by both an equal and unequal prior probabilities are compared while keeping the false alarm rate constant. Any additional number of detected objects will help improve SDA capabilities. PMID:27411129

  7. Realism, functions, and the a priori: Ernst Cassirer's philosophy of science.

    PubMed

    Heis, Jeremy

    2014-12-01

    This paper presents the main ideas of Cassirer's general philosophy of science, focusing on the two aspects of his thought that--in addition to being the most central ideas in his philosophy of science--have received the most attention from contemporary philosophers of science: his theory of the a priori aspects of physical theory, and his relation to scientific realism.

  8. FORTRAN IV Program for Analysis of Covariance with A Priori or A Posteriori Mean Comparisons

    ERIC Educational Resources Information Center

    Fordyce, Michael W.

    1977-01-01

    A flexible Fortran program for computing a complete analysis of covariance is described. Requiring minimal core space, the program provides all group and overall summary statistics for the analysis, a test of homogeneity of regression, and all posttest mean comparisons for a priori or a posteriori testing. (Author/JKS)

  9. Unequal a priori probability multiple hypothesis testing in space domain awareness with the space surveillance telescope.

    PubMed

    Hardy, Tyler; Cain, Stephen; Blake, Travis

    2016-05-20

    This paper investigates the ability to improve Space Domain Awareness (SDA) by increasing the number of detectable Resident Space Objects (RSOs) from space surveillance sensors. With matched filter based techniques, the expected impulse response, or Point Spread Function (PSF), is compared against the received data. In the situation where the images are spatially undersampled, the modeled PSF may not match the received data if the RSO does not fall in the center of the pixel. This aliasing can be accounted for with a Multiple Hypothesis Test (MHT). Previously, proposed MHTs have implemented a test with an equal a priori prior probability assumption. This paper investigates using an unequal a priori probability MHT. To determine accurate a priori probabilities, three metrics are computed; they are correlation, physical distance, and empirical. Using the calculated a priori probabilities, a new algorithm is developed, and images from the Space Surveillance Telescope (SST) are analyzed. The number of detected objects by both an equal and unequal prior probabilities are compared while keeping the false alarm rate constant. Any additional number of detected objects will help improve SDA capabilities.

  10. A priori models in the testing of diving life support equipment.

    PubMed

    Clarke, J R

    1996-01-01

    A priori models have been effectively used at the Navy Experimental Diving Unit (NEDU) to aid in the design of tests for diving equipment. These models are computer simulations conducted prior to the initial testing effort, using mechanistic models derived from first principles or based on prior testing. One example of such a model involves the freeze-up susceptibility of SCUBA regulators used in very cold water at depths to 58 msw (190 fsw). The influence of various dive profiles on the risk of regulator freeze-up was estimated for a variety of model parameters. In a second example, a simple model of CO2 canister duration was used to reveal the relative benefits of various competing diver work/rest profiles. The a priori modeling efforts helped NEDU define relatively efficient and unambiguous designs for testing diving equipment.

  11. Acquisition of priori tissue optical structure based on non-rigid image registration

    NASA Astrophysics Data System (ADS)

    Wan, Wenbo; Li, Jiao; Liu, Lingling; Wang, Yihan; Zhang, Yan; Gao, Feng

    2015-03-01

    Shape-parameterized diffuse optical tomography (DOT), which is based on a priori that assumes the uniform distribution of the optical properties in the each region, shows the effectiveness of complex biological tissue optical heterogeneities reconstruction. The priori tissue optical structure could be acquired with the assistance of anatomical imaging methods such as X-ray computed tomography (XCT) which suffers from low-contrast for soft tissues including different optical characteristic regions. For the mouse model, a feasible strategy of a priori tissue optical structure acquisition is proposed based on a non-rigid image registration algorithm. During registration, a mapping matrix is calculated to elastically align the XCT image of reference mouse to the XCT image of target mouse. Applying the matrix to the reference atlas which is a detailed mesh of organs/tissues in reference mouse, registered atlas can be obtained as the anatomical structure of target mouse. By assigning the literature published optical parameters of each organ to the corresponding anatomical structure, optical structure of the target organism can be obtained as a priori information for DOT reconstruction algorithm. By applying the non-rigid image registration algorithm to a target mouse which is transformed from the reference mouse, the results show that the minimum correlation coefficient can be improved from 0.2781 (before registration) to 0.9032 (after fine registration), and the maximum average Euclid distances can be decreased from 12.80mm (before registration) to 1.02mm (after fine registration), which has verified the effectiveness of the algorithm.

  12. A priori data-driven multi-clustered reservoir generation algorithm for echo state network.

    PubMed

    Li, Xiumin; Zhong, Ling; Xue, Fangzheng; Zhang, Anguo

    2015-01-01

    Echo state networks (ESNs) with multi-clustered reservoir topology perform better in reservoir computing and robustness than those with random reservoir topology. However, these ESNs have a complex reservoir topology, which leads to difficulties in reservoir generation. This study focuses on the reservoir generation problem when ESN is used in environments with sufficient priori data available. Accordingly, a priori data-driven multi-cluster reservoir generation algorithm is proposed. The priori data in the proposed algorithm are used to evaluate reservoirs by calculating the precision and standard deviation of ESNs. The reservoirs are produced using the clustering method; only the reservoir with a better evaluation performance takes the place of a previous one. The final reservoir is obtained when its evaluation score reaches the preset requirement. The prediction experiment results obtained using the Mackey-Glass chaotic time series show that the proposed reservoir generation algorithm provides ESNs with extra prediction precision and increases the structure complexity of the network. Further experiments also reveal the appropriate values of the number of clusters and time window size to obtain optimal performance. The information entropy of the reservoir reaches the maximum when ESN gains the greatest precision. PMID:25875296

  13. APhoRISM FP7 project: the A Priori information for Earthquake damage mapping method

    NASA Astrophysics Data System (ADS)

    Bignami, Christian; Stramondo, Salvatore; Pierdicca, Nazzareno

    2014-05-01

    The APhoRISM - Advanced PRocedure for volcanIc and Seismic Monitoring - project is an FP7 funded project, which aims at developing and testing two new methods to combine Earth Observation satellite data from different sensors, and ground data for seismic and volcanic risk management. The objective is to demonstrate that this two types of data, appropriately managed and integrated, can provide new improved products useful for seismic and volcanic crisis management. One of the two methods deals with earthquakes, and it concerns the generation of maps to address the detection and estimate of damage caused by a seism. The method is named APE - A Priori information for Earthquake damage mapping. The use of satellite data to investigate earthquake damages is not an innovative issue. Indeed, a wide literature and projects have addressed and focused such issue, but usually the proposed approaches are only based on change detection techniques and/or classifications algorithms. The novelty of APhoRISM-APE relies on the exploitation of a priori information derived by: - InSAR time series to measure surface movements - shakemaps obtained from seismological data - vulnerability information. This a priori information is then integrated with change detection map from earth observation satellite sensors (either Optical or Synthetic Aperture Radar) to improve accuracy and to limit false alarms.

  14. Efficient 3D modeling of buildings using a priori geometric object information

    NASA Astrophysics Data System (ADS)

    Van den Heuvel, Frank A.; Vosselman, George

    1997-07-01

    The subject of this paper is the research that aims at efficiency improvement of acquisition of 3D building models from digital images for Computer Aided Architectural Design (CAAD). The results do not only apply to CAAD, but to all applications where polyhedral objects are involved. The research is concentrated on the integration of a priori geometric object information in the modeling process. Parallelism and perpendicularity are examples of the a priori information to be used. This information leads to geometric constraints in the mathematical model. This model can be formulated using condition equations with observations only. The advantage is that the adjustment does not include object parameters and the geometric constraints can be incorporated in the model sequentially. As with the use of observation equations statistical testing can be applied to verify the constraints. For the initial values of orientation parameters of the images we use a direct solution based on a priori object information as well. For this method only two sets of (coplanar) parallel lines in object space are required. The paper concentrates on the mathematical model with image lines as the main type of observations. Advantages as well as disadvantages of a mathematical model with only condition equations are discussed. The parametrization of the object model plays a major role in this discussion.

  15. A priori data-driven multi-clustered reservoir generation algorithm for echo state network.

    PubMed

    Li, Xiumin; Zhong, Ling; Xue, Fangzheng; Zhang, Anguo

    2015-01-01

    Echo state networks (ESNs) with multi-clustered reservoir topology perform better in reservoir computing and robustness than those with random reservoir topology. However, these ESNs have a complex reservoir topology, which leads to difficulties in reservoir generation. This study focuses on the reservoir generation problem when ESN is used in environments with sufficient priori data available. Accordingly, a priori data-driven multi-cluster reservoir generation algorithm is proposed. The priori data in the proposed algorithm are used to evaluate reservoirs by calculating the precision and standard deviation of ESNs. The reservoirs are produced using the clustering method; only the reservoir with a better evaluation performance takes the place of a previous one. The final reservoir is obtained when its evaluation score reaches the preset requirement. The prediction experiment results obtained using the Mackey-Glass chaotic time series show that the proposed reservoir generation algorithm provides ESNs with extra prediction precision and increases the structure complexity of the network. Further experiments also reveal the appropriate values of the number of clusters and time window size to obtain optimal performance. The information entropy of the reservoir reaches the maximum when ESN gains the greatest precision.

  16. Phillips-Tikhonov regularization with a priori information for neutron emission tomographic reconstruction on Joint European Torus

    SciTech Connect

    Bielecki, J.; Scholz, M.; Drozdowicz, K.; Giacomelli, L.; Kiptily, V.; Kempenaars, M.; Conroy, S.; Craciunescu, T.; Collaboration: EUROfusion Consortium, JET, Culham Science Centre, Abingdon OX14 3DB

    2015-09-15

    A method of tomographic reconstruction of the neutron emissivity in the poloidal cross section of the Joint European Torus (JET, Culham, UK) tokamak was developed. Due to very limited data set (two projection angles, 19 lines of sight only) provided by the neutron emission profile monitor (KN3 neutron camera), the reconstruction is an ill-posed inverse problem. The aim of this work consists in making a contribution to the development of reliable plasma tomography reconstruction methods that could be routinely used at JET tokamak. The proposed method is based on Phillips-Tikhonov regularization and incorporates a priori knowledge of the shape of normalized neutron emissivity profile. For the purpose of the optimal selection of the regularization parameters, the shape of normalized neutron emissivity profile is approximated by the shape of normalized electron density profile measured by LIDAR or high resolution Thomson scattering JET diagnostics. In contrast with some previously developed methods of ill-posed plasma tomography reconstruction problem, the developed algorithms do not include any post-processing of the obtained solution and the physical constrains on the solution are imposed during the regularization process. The accuracy of the method is at first evaluated by several tests with synthetic data based on various plasma neutron emissivity models (phantoms). Then, the method is applied to the neutron emissivity reconstruction for JET D plasma discharge #85100. It is demonstrated that this method shows good performance and reliability and it can be routinely used for plasma neutron emissivity reconstruction on JET.

  17. Phillips-Tikhonov regularization with a priori information for neutron emission tomographic reconstruction on Joint European Torus.

    PubMed

    Bielecki, J; Giacomelli, L; Kiptily, V; Scholz, M; Drozdowicz, K; Conroy, S; Craciunescu, T; Kempenaars, M

    2015-09-01

    A method of tomographic reconstruction of the neutron emissivity in the poloidal cross section of the Joint European Torus (JET, Culham, UK) tokamak was developed. Due to very limited data set (two projection angles, 19 lines of sight only) provided by the neutron emission profile monitor (KN3 neutron camera), the reconstruction is an ill-posed inverse problem. The aim of this work consists in making a contribution to the development of reliable plasma tomography reconstruction methods that could be routinely used at JET tokamak. The proposed method is based on Phillips-Tikhonov regularization and incorporates a priori knowledge of the shape of normalized neutron emissivity profile. For the purpose of the optimal selection of the regularization parameters, the shape of normalized neutron emissivity profile is approximated by the shape of normalized electron density profile measured by LIDAR or high resolution Thomson scattering JET diagnostics. In contrast with some previously developed methods of ill-posed plasma tomography reconstruction problem, the developed algorithms do not include any post-processing of the obtained solution and the physical constrains on the solution are imposed during the regularization process. The accuracy of the method is at first evaluated by several tests with synthetic data based on various plasma neutron emissivity models (phantoms). Then, the method is applied to the neutron emissivity reconstruction for JET D plasma discharge #85100. It is demonstrated that this method shows good performance and reliability and it can be routinely used for plasma neutron emissivity reconstruction on JET.

  18. Phillips-Tikhonov regularization with a priori information for neutron emission tomographic reconstruction on Joint European Torus

    NASA Astrophysics Data System (ADS)

    Bielecki, J.; Giacomelli, L.; Kiptily, V.; Scholz, M.; Drozdowicz, K.; Conroy, S.; Craciunescu, T.; Kempenaars, M.

    2015-09-01

    A method of tomographic reconstruction of the neutron emissivity in the poloidal cross section of the Joint European Torus (JET, Culham, UK) tokamak was developed. Due to very limited data set (two projection angles, 19 lines of sight only) provided by the neutron emission profile monitor (KN3 neutron camera), the reconstruction is an ill-posed inverse problem. The aim of this work consists in making a contribution to the development of reliable plasma tomography reconstruction methods that could be routinely used at JET tokamak. The proposed method is based on Phillips-Tikhonov regularization and incorporates a priori knowledge of the shape of normalized neutron emissivity profile. For the purpose of the optimal selection of the regularization parameters, the shape of normalized neutron emissivity profile is approximated by the shape of normalized electron density profile measured by LIDAR or high resolution Thomson scattering JET diagnostics. In contrast with some previously developed methods of ill-posed plasma tomography reconstruction problem, the developed algorithms do not include any post-processing of the obtained solution and the physical constrains on the solution are imposed during the regularization process. The accuracy of the method is at first evaluated by several tests with synthetic data based on various plasma neutron emissivity models (phantoms). Then, the method is applied to the neutron emissivity reconstruction for JET D plasma discharge #85100. It is demonstrated that this method shows good performance and reliability and it can be routinely used for plasma neutron emissivity reconstruction on JET.

  19. SAC-SMA a priori parameter differences and their impact on distributed hydrologic model simulations

    NASA Astrophysics Data System (ADS)

    Zhang, Ziya; Koren, Victor; Reed, Seann; Smith, Michael; Zhang, Yu; Moreda, Fekadu; Cosgrove, Brian

    2012-02-01

    SummaryDeriving a priori gridded parameters is an important step in the development and deployment of an operational distributed hydrologic model. Accurate a priori parameters can reduce the manual calibration effort and/or speed up the automatic calibration process, reduce calibration uncertainty, and provide valuable information at ungauged locations. Underpinned by reasonable parameter data sets, distributed hydrologic modeling can help improve water resource and flood and flash flood forecasting capabilities. Initial efforts at the National Weather Service Office of Hydrologic Development (NWS OHD) to derive a priori gridded Sacramento Soil Moisture Accounting (SAC-SMA) model parameters for the conterminous United States (CONUS) were based on a relatively coarse resolution soils property database, the State Soil Geographic Database (STATSGO) (Soil Survey Staff, 2011) and on the assumption of uniform land use and land cover. In an effort to improve the parameters, subsequent work was performed to fully incorporate spatially variable land cover information into the parameter derivation process. Following that, finer-scale soils data (the county-level Soil Survey Geographic Database (SSURGO) ( Soil Survey Staff, 2011a,b), together with the use of variable land cover data, were used to derive a third set of CONUS, a priori gridded parameters. It is anticipated that the second and third parameter sets, which incorporate more physical data, will be more realistic and consistent. Here, we evaluate whether this is actually the case by intercomparing these three sets of a priori parameters along with their associated hydrologic simulations which were generated by applying the National Weather Service Hydrology Laboratory's Research Distributed Hydrologic Model (HL-RDHM) ( Koren et al., 2004) in a continuous fashion with an hourly time step. This model adopts a well-tested conceptual water balance model, SAC-SMA, applied on a regular spatial grid, and links to physically

  20. 3SMAC: an a priori tomographic model of the upper mantle based on geophysical modeling

    NASA Astrophysics Data System (ADS)

    Nataf, Henri-Claude; Ricard, Yanick

    1996-05-01

    We present an a priori three-dimensional 'tomographic' model of the upper mantle. We construct this model (called 3SMAC — three-dimensional seismological model a priori constrained) in four steps: we compile information on the thickness of 'chemical' layers in the Earth (water, sediments, upper and lower crust, etc); we get a 3D temperature distribution from thermal plate models applied to the oceans and continents; we deduce the mineralogy in the mantle from pressure and temperature and we finally get a three-dimensional model of density, seismic velocities, and attenuation by introducing laboratory measurements of these quantities as a function of pressure and temperature. The model is thus consistent with various geophysical data, such as ocean bathymetry, and surface heat flux. We use this model to compute synthetic travel-times of body waves, and we compare them with observations. A similar exercise is performed for surface waves and normal modes in a companion paper (Ricard et al., 1996, J. Geophys. Res., in press). We find that our model predicts the bulk of the observed travel-time variations. Both the amplitude and general pattern are well recovered. The discrepancies suggest that tomography can provide useful regional information on the thermal state of the continents. In the oceans, the flattening of the sea-floor beond 70 Ma seems difficult to reconcile with the seismic observations. Overall, our 3SMAC model is both a realistic model, which can be used to test various tomographic methods, and a model of the minimum heterogeneities to be expected from geodynamical modeling. Therefore, it should be a useful a priori model to be used in tomographic inversions, in order to retrieve reliable images of heterogeneities in the transition zone, which should, in turn, greatly improve our understanding of geodynamical processes in the deep Earth. 3SMAC and accompanying software can be retrieved by anonymous ftp at geoscope.ipgp.jussieu.fr.

  1. Comparison of three a-priori models in the prediction of serum lithium concentration

    PubMed Central

    Radhakrishnan, Rajiv; Kanigere, Milanduth; Menon, Jayakumar; Calvin, Sam; Srinivasan, Krishnamachari

    2012-01-01

    Context: Mathematical models are valuable for optimizing drug dose and dosing regimens. Aims: To compare the precision and bias of three a-priori methods in the prediction of serum level of lithium in patients with bipolar disorder, and to determine their sensitivity and specificity in detecting serum lithium levels outside the therapeutic range. Settings and Design: Hospital-based, retrospective study. Materials and Methods: In a retrospective study of 31 in-patients, the serum level of lithium was calculated using three different a-priori methods. Mean Prediction Error was used as a measure of bias while Mean Absolute Error and Root Mean Squared Error were used as a measure of precision. The sensitivity and specificity of the methods was calculated. Results: All three models underestimated serum lithium level. Precision was best with the model described by Pepin et al., while bias of prediction was the least with the method of Abou Auda et al. The formula by Pepin et al. was able to predict serum lithium level with a mean error of 36.57%. The sensitivity and specificity of the models in identifying serum lithium levels outside the therapeutic range was 80% and 76.19% for Pepin et al., 90% and 74.19% for Zetin et al., and 90% and 66.67% for Abou-Auda et al., respectively. Conclusion: The study demonstrates the difference in precision and bias of three a-priori methods, with no one method being superior to the other in the prediction of serum concentration. PMID:22529482

  2. Proportionality of Components, Liouville Theorems and a Priori Estimates for Noncooperative Elliptic Systems

    NASA Astrophysics Data System (ADS)

    Montaru, Alexandre; Sirakov, Boyan; Souplet, Philippe

    2014-07-01

    We study qualitative properties of positive solutions of noncooperative, possibly nonvariational, elliptic systems. We obtain new classification and Liouville type theorems in the whole Euclidean space, as well as in half-spaces, and deduce a priori estimates and the existence of positive solutions for related Dirichlet problems. We significantly improve the known results for a large class of systems involving a balance between repulsive and attractive terms. This class contains systems arising in biological models of Lotka-Volterra type, in physical models of Bose-Einstein condensates and in models of chemical reactions.

  3. Source Reconstruction for Spectrally-resolved Bioluminescence Tomography with Sparse A priori Information

    PubMed Central

    Lu, Yujie; Zhang, Xiaoqun; Douraghy, Ali; Stout, David; Tian, Jie; Chan, Tony F.; Chatziioannou, Arion F.

    2009-01-01

    Through restoration of the light source information in small animals in vivo, optical molecular imaging, such as fluorescence molecular tomography (FMT) and bioluminescence tomography (BLT), can depict biological and physiological changes observed using molecular probes. A priori information plays an indispensable role in tomographic reconstruction. As a type of a priori information, the sparsity characteristic of the light source has not been sufficiently considered to date. In this paper, we introduce a compressed sensing method to develop a new tomographic algorithm for spectrally-resolved bioluminescence tomography. This method uses the nature of the source sparsity to improve the reconstruction quality with a regularization implementation. Based on verification of the inverse crime, the proposed algorithm is validated with Monte Carlo-based synthetic data and the popular Tikhonov regularization method. Testing with different noise levels and single/multiple source settings at different depths demonstrates the improved performance of this algorithm. Experimental reconstruction with a mouse-shaped phantom further shows the potential of the proposed algorithm. PMID:19434138

  4. Improving limited-view reconstruction in photoacoustic tomography by incorporating a priori boundary information

    NASA Astrophysics Data System (ADS)

    Anastasio, Mark A.; Wang, Kun; Zhang, Jin; Kruger, Gabe A.; Reinecke, Daniel; Kruger, Robert A.

    2008-02-01

    Photoacoustic tomography (PAT) is an emerging ultrasound-mediated biophotonic imaging modality that has great potential for many biomedical imaging applications. In many practical implementations of PAT, the photoacoustic signals are recorded over an aperture that does not enclose the object, which results in a limitedview tomographic reconstruction problem. When conventional reconstruction algorithms are applied to limitedview measurement data, the resulting images can contain severe image artifacts and distortions. To circumvent such artifacts, we exploit a priori information about the locations of boundaries within the object (optical absorption function) to improve the fidelity of the reconstructed images. Such boundary information can be inferred, for example, from a co-registered B-mode ultrasound image or other adjunct imaging study. We develop and implement an iterative reconstruction algorithm that exploits a priori object information in the form of support constraints. We demonstrate that the developed iterative reconstruction algorithm produces images with reduced artifact levels as compared to those produced by a conventional PAT reconstruction algorithm.

  5. Normalization of T2W-MRI prostate images using Rician a priori

    NASA Astrophysics Data System (ADS)

    Lemaître, Guillaume; Rastgoo, Mojdeh; Massich, Joan; Vilanova, Joan C.; Walker, Paul M.; Freixenet, Jordi; Meyer-Baese, Anke; Mériaudeau, Fabrice; Martí, Robert

    2016-03-01

    Prostate cancer is reported to be the second most frequently diagnosed cancer of men in the world. In practise, diagnosis can be affected by multiple factors which reduces the chance to detect the potential lesions. In the last decades, new imaging techniques mainly based on MRI are developed in conjunction with Computer-Aided Diagnosis (CAD) systems to help radiologists for such diagnosis. CAD systems are usually designed as a sequential process consisting of four stages: pre-processing, segmentation, registration and classification. As a pre-processing, image normalization is a critical and important step of the chain in order to design a robust classifier and overcome the inter-patients intensity variations. However, little attention has been dedicated to the normalization of T2W-Magnetic Resonance Imaging (MRI) prostate images. In this paper, we propose two methods to normalize T2W-MRI prostate images: (i) based on a Rician a priori and (ii) based on a Square-Root Slope Function (SRSF) representation which does not make any assumption regarding the Probability Density Function (PDF) of the data. A comparison with the state-of-the-art methods is also provided. The normalization of the data is assessed by comparing the alignment of the patient PDFs in both qualitative and quantitative manners. In both evaluation, the normalization using Rician a priori outperforms the other state-of-the-art methods.

  6. Solution of underdetermined systems of equations with gridded a priori constraints.

    PubMed

    Stiros, Stathis C; Saltogianni, Vasso

    2014-01-01

    The TOPINV, Topological Inversion algorithm (or TGS, Topological Grid Search) initially developed for the inversion of highly non-linear redundant systems of equations, can solve a wide range of underdetermined systems of non-linear equations. This approach is a generalization of a previous conclusion that this algorithm can be used for the solution of certain integer ambiguity problems in Geodesy. The overall approach is based on additional (a priori) information for the unknown variables. In the past, such information was used either to linearize equations around approximate solutions, or to expand systems of observation equations solved on the basis of generalized inverses. In the proposed algorithm, the a priori additional information is used in a third way, as topological constraints to the unknown n variables, leading to an R(n) grid containing an approximation of the real solution. The TOPINV algorithm does not focus on point-solutions, but exploits the structural and topological constraints in each system of underdetermined equations in order to identify an optimal closed space in the R(n) containing the real solution. The centre of gravity of the grid points defining this space corresponds to global, minimum-norm solutions. The rationale and validity of the overall approach are demonstrated on the basis of examples and case studies, including fault modelling, in comparison with SVD solutions and true (reference) values, in an accuracy-oriented approach. PMID:25674445

  7. Solution of underdetermined systems of equations with gridded a priori constraints.

    PubMed

    Stiros, Stathis C; Saltogianni, Vasso

    2014-01-01

    The TOPINV, Topological Inversion algorithm (or TGS, Topological Grid Search) initially developed for the inversion of highly non-linear redundant systems of equations, can solve a wide range of underdetermined systems of non-linear equations. This approach is a generalization of a previous conclusion that this algorithm can be used for the solution of certain integer ambiguity problems in Geodesy. The overall approach is based on additional (a priori) information for the unknown variables. In the past, such information was used either to linearize equations around approximate solutions, or to expand systems of observation equations solved on the basis of generalized inverses. In the proposed algorithm, the a priori additional information is used in a third way, as topological constraints to the unknown n variables, leading to an R(n) grid containing an approximation of the real solution. The TOPINV algorithm does not focus on point-solutions, but exploits the structural and topological constraints in each system of underdetermined equations in order to identify an optimal closed space in the R(n) containing the real solution. The centre of gravity of the grid points defining this space corresponds to global, minimum-norm solutions. The rationale and validity of the overall approach are demonstrated on the basis of examples and case studies, including fault modelling, in comparison with SVD solutions and true (reference) values, in an accuracy-oriented approach.

  8. A priori classical density functionals of water: toward first principles exploration of aqueous based energy systems

    NASA Astrophysics Data System (ADS)

    Sundararaman, Ravishankar; Letchworth Weaver, Kendra; Arias, Tomas

    2011-03-01

    We present a novel description of water which will allow the first a priori studies of catalysis of biofuels in aqueous electrochemical environments. Our method offers a computationally efficient alternative to the thermal sampling required by molecular dynamics yet provides a more realistic description of bulk water than including explicit frozen water or traditional continuum solvation models. Into Joint Density Functional Theory (JDFT), which joins an electron density-functional for the solute with classical density-functional theories for liquid water into a single variational principle for the free energy of the combined system, we introduce the innovation of an a priori form of the coupling functional between the quantum-mechanical system and liquid water based on a local density approximation to the Hohenberg-Kohn density-only functional. Without any fits to solvation data whatsoever, this new method predicts solvation energies of small organic molecules well compared to state-of-the art empirical quantum-chemical cavity approaches. The site interaction potentials produced closely resemble the widely used TIP3P site potentials for water without requiring any empirical parameters. R. Sundararaman et al, unpublished, to be presented at the APS March Meeting (2011)

  9. A Priori Estimates for Free Boundary Problem of Incompressible Inviscid Magnetohydrodynamic Flows

    NASA Astrophysics Data System (ADS)

    Hao, Chengchun; Luo, Tao

    2014-06-01

    In the present paper, we prove the a priori estimates of Sobolev norms for a free boundary problem of the incompressible inviscid magnetohydrodynamics equations in all physical spatial dimensions n = 2 and 3 by adopting a geometrical point of view used in Christodoulou and Lindblad (Commun Pure Appl Math 53:1536-1602, 2000), and estimating quantities such as the second fundamental form and the velocity of the free surface. We identify the well-posedness condition that the outer normal derivative of the total pressure including the fluid and magnetic pressures is negative on the free boundary, which is similar to the physical condition (Taylor sign condition) for the incompressible Euler equations of fluids.

  10. Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori Information

    PubMed Central

    Kelly, Thomas N.; Sarafianou, Mantalena; Craddock, Ian J.

    2014-01-01

    Conventional radar-based image reconstruction techniques fail when they are applied to heterogeneous breast tissue, since the underlying in-breast relative permittivity is unknown or assumed to be constant. This results in a systematic error during the process of image formation. A recent trend in microwave biomedical imaging is to extract the relative permittivity from the object under test to improve the image reconstruction quality and thereby to enhance the diagnostic assessment. In this paper, we present a novel radar-based methodology for microwave breast cancer detection in heterogeneous breast tissue integrating a 3D map of relative permittivity as a priori information. This leads to a novel image reconstruction formulation where the delay-and-sum focusing takes place in time rather than range domain. Results are shown for a heterogeneous dense (class-4) and a scattered fibroglandular (class-2) numerical breast phantom using Bristol's 31-element array configuration. PMID:25435861

  11. GNSS Precise Kinematic Positioning for Multiple Kinematic Stations Based on A Priori Distance Constraints

    PubMed Central

    He, Kaifei; Xu, Tianhe; Förste, Christoph; Petrovic, Svetozar; Barthelmes, Franz; Jiang, Nan; Flechtner, Frank

    2016-01-01

    When applying the Global Navigation Satellite System (GNSS) for precise kinematic positioning in airborne and shipborne gravimetry, multiple GNSS receiving equipment is often fixed mounted on the kinematic platform carrying the gravimetry instrumentation. Thus, the distances among these GNSS antennas are known and invariant. This information can be used to improve the accuracy and reliability of the state estimates. For this purpose, the known distances between the antennas are applied as a priori constraints within the state parameters adjustment. These constraints are introduced in such a way that their accuracy is taken into account. To test this approach, GNSS data of a Baltic Sea shipborne gravimetric campaign have been used. The results of our study show that an application of distance constraints improves the accuracy of the GNSS kinematic positioning, for example, by about 4 mm for the radial component. PMID:27043580

  12. GNSS Precise Kinematic Positioning for Multiple Kinematic Stations Based on A Priori Distance Constraints.

    PubMed

    He, Kaifei; Xu, Tianhe; Förste, Christoph; Petrovic, Svetozar; Barthelmes, Franz; Jiang, Nan; Flechtner, Frank

    2016-04-01

    When applying the Global Navigation Satellite System (GNSS) for precise kinematic positioning in airborne and shipborne gravimetry, multiple GNSS receiving equipment is often fixed mounted on the kinematic platform carrying the gravimetry instrumentation. Thus, the distances among these GNSS antennas are known and invariant. This information can be used to improve the accuracy and reliability of the state estimates. For this purpose, the known distances between the antennas are applied as a priori constraints within the state parameters adjustment. These constraints are introduced in such a way that their accuracy is taken into account. To test this approach, GNSS data of a Baltic Sea shipborne gravimetric campaign have been used. The results of our study show that an application of distance constraints improves the accuracy of the GNSS kinematic positioning, for example, by about 4 mm for the radial component.

  13. A Priori Bound on the Velocity in Axially Symmetric Navier-Stokes Equations

    NASA Astrophysics Data System (ADS)

    Lei, Zhen; Navas, Esteban A.; Zhang, Qi S.

    2016-01-01

    Let v be the velocity of Leray-Hopf solutions to the axially symmetric three-dimensional Navier-Stokes equations. Under suitable conditions for initial values, we prove the following a priori bound |v(x, t)| ≤ C |ln r|^{1/2}/r^2, qquad 0 < r ≤ 1/2, where r is the distance from x to the z axis, and C is a constant depending only on the initial value. This provides a pointwise upper bound (worst case scenario) for possible singularities, while the recent papers (Chiun-Chuan et al., Commun PDE 34(1-3):203-232, 2009; Koch et al., Acta Math 203(1):83-105, 2009) gave a lower bound. The gap is polynomial order 1 modulo a half log term.

  14. A priori analysis: an application to the estimate of the uncertainty in course grades

    NASA Astrophysics Data System (ADS)

    Lippi, G. L.

    2014-07-01

    A priori analysis (APA) is discussed as a tool to assess the reliability of grades in standard curricular courses. This unusual, but striking, application is presented when teaching the section on the data treatment of a laboratory course to illustrate the characteristics of the APA and its potential for widespread use, beyond the traditional physics curriculum. The conditions necessary for this kind of analysis are discussed, the general framework is set out and a specific example is given to illustrate its various aspects. Students are often struck by this unusual application and are more apt to remember the APA. Instructors may also benefit from some of the gathered information, as discussed in the paper.

  15. GNSS Precise Kinematic Positioning for Multiple Kinematic Stations Based on A Priori Distance Constraints.

    PubMed

    He, Kaifei; Xu, Tianhe; Förste, Christoph; Petrovic, Svetozar; Barthelmes, Franz; Jiang, Nan; Flechtner, Frank

    2016-01-01

    When applying the Global Navigation Satellite System (GNSS) for precise kinematic positioning in airborne and shipborne gravimetry, multiple GNSS receiving equipment is often fixed mounted on the kinematic platform carrying the gravimetry instrumentation. Thus, the distances among these GNSS antennas are known and invariant. This information can be used to improve the accuracy and reliability of the state estimates. For this purpose, the known distances between the antennas are applied as a priori constraints within the state parameters adjustment. These constraints are introduced in such a way that their accuracy is taken into account. To test this approach, GNSS data of a Baltic Sea shipborne gravimetric campaign have been used. The results of our study show that an application of distance constraints improves the accuracy of the GNSS kinematic positioning, for example, by about 4 mm for the radial component. PMID:27043580

  16. Data preprocessing method for fluorescence molecular tomography using a priori information provided by CT.

    PubMed

    Fu, Jianwei; Yang, Xiaoquan; Meng, Yuanzheng; Luo, Qingming; Gong, Hui

    2012-01-01

    The combined system of micro-CT and fluorescence molecular tomography (FMT) offers a new tool to provide anatomical and functional information of small animals in a single study. To take advantages of the combined system, a data preprocessing method is proposed to extract the valid data for FMT reconstruction algorithms using a priori information provided by CT. The boundary information of the animal and animal holder is extracted from reconstructed CT volume data. A ray tracing method is used to trace the path of the excitation beam, calculate the locations and directions of the optional sources and determine whether the optional sources are valid. To accurately calculate the projections of the detectors on optical images and judge their validity, a combination of perspective projection and inverse ray tracing method are adopted to offer optimal performance. The imaging performance of the combined system with the presented method is validated through experimental rat imaging.

  17. A priori mesh quality metrics for three-dimensional hybrid grids

    SciTech Connect

    Kallinderis, Y. Fotia, S.

    2015-01-01

    Use of general hybrid grids to attain complex-geometry field simulations poses a challenge on estimation of their quality. Apart from the typical problems of non-uniformity and non-orthogonality, the change in element topology is an extra issue to address. The present work derives and evaluates an a priori mesh quality indicator for structured, unstructured, as well as hybrid grids consisting of hexahedra, prisms, tetrahedra, and pyramids. Emphasis is placed on deriving a direct relation between the quality measure and mesh distortion. The work is based on use of the Finite Volume discretization for evaluation of first order spatial derivatives. The analytic form of the truncation error is derived and applied to elementary types of mesh distortion including typical hybrid grid interfaces. The corresponding analytic expressions provide relations between the truncation error and the degree of stretching, skewness, shearing, torsion, expansion, as well as the type of grid interface.

  18. Rapid multi-wavelength optical assessment of circulating blood volume without a priori data

    NASA Astrophysics Data System (ADS)

    Loginova, Ekaterina V.; Zhidkova, Tatyana V.; Proskurnin, Mikhail A.; Zharov, Vladimir P.

    2016-03-01

    The measurement of circulating blood volume (CBV) is crucial in various medical conditions including surgery, iatrogenic problems, rapid fluid administration, transfusion of red blood cells, or trauma with extensive blood loss including battlefield injuries and other emergencies. Currently, available commercial techniques are invasive and time-consuming for trauma situations. Recently, we have proposed high-speed multi-wavelength photoacoustic/photothermal (PA/PT) flow cytometry for in vivo CBV assessment with multiple dyes as PA contrast agents (labels). As the first step, we have characterized the capability of this technique to monitor the clearance of three dyes (indocyanine green, methylene blue, and trypan blue) in an animal model. However, there are strong demands on improvements in PA/PT flow cytometry. As additional verification of our proof-of-concept of this technique, we performed optical photometric CBV measurements in vitro. Three label dyes—methylene blue, crystal violet and, partially, brilliant green—were selected for simultaneous photometric determination of the components of their two-dye mixtures in the circulating blood in vitro without any extra data (like hemoglobin absorption) known a priori. The tests of single dyes and their mixtures in a flow system simulating a blood transfusion system showed a negligible difference between the sensitivities of the determination of these dyes under batch and flow conditions. For individual dyes, the limits of detection of 3×10-6 M‒3×10-6 M in blood were achieved, which provided their continuous determination at a level of 10-5 M for the CBV assessment without a priori data on the matrix. The CBV assessment with errors no higher than 4% were obtained, and the possibility to apply the developed procedure for optical photometric (flow cytometry) with laser sources was shown.

  19. Plasma Ascorbic Acid, A Priori Diet Quality Score, and Incident Hypertension: A Prospective Cohort Study.

    PubMed

    Buijsse, Brian; Jacobs, David R; Steffen, Lyn M; Kromhout, Daan; Gross, Myron D

    2015-01-01

    Vitamin C may reduce risk of hypertension, either in itself or by marking a healthy diet pattern. We assessed whether plasma ascorbic acid and the a priori diet quality score relate to incident hypertension and whether they explain each other's predictive abilities. Data were from 2884 black and white adults (43% black, mean age 35 years) initially hypertension-free in the Coronary Artery Risk Development in Young Adults Study (study year 10, 1995-1996). Plasma ascorbic acid was assessed at year 10 and the diet quality score at year 7. Eight-hundred-and-forty cases of hypertension were documented between years 10 and 25. After multiple adjustments, each 12-point (1 SD) higher diet quality score at year 7 related to mean 3.7 μmol/L (95% CI 2.9 to 4.6) higher plasma ascorbic acid at year 10. In separate multiple-adjusted Cox regression models, the hazard ratio of hypertension per 19.6-μmol/L (1 SD) higher ascorbic acid was 0.85 (95% CI 0.79-0.92) and per 12-points higher diet score 0.86 (95% CI 0.79-0.94). These hazard ratios changed little with mutual adjustment of ascorbic acid and diet quality score for each other, or when adjusted for anthropometric variables, diabetes, and systolic blood pressure at year 10. Intake of dietary vitamin C and several food groups high in vitamin C content were inversely related to hypertension, whereas supplemental vitamin C was not. In conclusion, plasma ascorbic acid and the a priori diet quality score independently predict hypertension. This suggests that hypertension risk is reduced by improving overall diet quality and/or vitamin C status. The inverse association seen for dietary but not for supplemental vitamin C suggests that vitamin C status is preferably improved by eating foods rich in vitamin C, in addition to not smoking and other dietary habits that prevent ascorbic acid from depletion.

  20. A priori-defined Diet Quality Indexes and Risk of Type 2 diabetes: The Multiethnic Cohort

    PubMed Central

    Jacobs, Simone; Harmon, Brook E.; Boushey, Carol J.; Morimoto, Yukiko; Wilkens, Lynne R.; Le Marchand, Loic; Kröger, Janine; Schulze, Matthias B.; Kolonel, Laurence N.; Maskarinec, Gertraud

    2014-01-01

    Aim Dietary patterns have been associated with type 2 diabetes incidence, but little is known about the impact of ethnicity on this relation. This study evaluated the association of four a priori dietary quality indexes and type 2 diabetes risk among whites, Japanese Americans, and Native Hawaiians in the Hawaii component of the Multiethnic Cohort (MEC). Methods After excluding participants with prevalent diabetes and missing values, the analysis included 89,185 participants (11,217 cases). Dietary intake was assessed at baseline with a quantitative food frequency questionnaire designed for use in the relevant ethnic populations. Sex- and ethnicity-specific hazard ratios were calculated for the Healthy Eating Index-2010 (HEI-2010), the alternative HEI-2010 (AHEI-2010), the alternate Mediterranean diet score (aMED), and the Dietary Approaches to Stop Hypertension (DASH). Results We observed significant inverse associations between higher scores of the DASH index and type 2 diabetes risk in white men and women, as well as in Japanese American women and Native Hawaiian men with respective risk reductions of 37, 31, 19 and 21% (highest compared to lowest index category). A higher adherence to the AHEI-2010 and aMED diet was related to a 13–28% lower type 2 diabetes risk in white participants but not in other ethnic groups. No significant associations with type 2 diabetes risk were observed for the HEI-2010 index. Conclusions The small ethnic differences in type 2 diabetes risk associated with scores of a priori-defined dietary patterns may be due to different consumption patterns of food components and the fact that the original indexes were not based on Asians and Pacific Islanders. PMID:25319012

  1. A-Priori Rupture Models for Northern California Type-A Faults

    USGS Publications Warehouse

    Wills, Chris J.; Weldon, Ray J.; Field, Edward H.

    2008-01-01

    This appendix describes how a-priori rupture models were developed for the northern California Type-A faults. As described in the main body of this report, and in Appendix G, ?a-priori? models represent an initial estimate of the rate of single and multi-segment surface ruptures on each fault. Whether or not a given model is moment balanced (i.e., satisfies section slip-rate data) depends on assumptions made regarding the average slip on each segment in each rupture (which in turn depends on the chosen magnitude-area relationship). Therefore, for a given set of assumptions, or branch on the logic tree, the methodology of the present Working Group (WGCEP-2007) is to find a final model that is as close as possible to the a-priori model, in the least squares sense, but that also satisfies slip rate and perhaps other data. This is analogous the WGCEP- 2002 approach of effectively voting on the relative rate of each possible rupture, and then finding the closest moment-balance model (under a more limiting set of assumptions than adopted by the present WGCEP, as described in detail in Appendix G). The 2002 Working Group Report (WCCEP, 2003, referred to here as WGCEP-2002), created segmented earthquake rupture forecast models for all faults in the region, including some that had been designated as Type B faults in the NSHMP, 1996, and one that had not previously been considered. The 2002 National Seismic Hazard Maps used the values from WGCEP-2002 for all the faults in the region, essentially treating all the listed faults as Type A faults. As discussed in Appendix A, the current WGCEP found that there are a number of faults with little or no data on slip-per-event, or dates of previous earthquakes. As a result, the WGCEP recommends that faults with minimal available earthquake recurrence data: the Greenville, Mount Diablo, San Gregorio, Monte Vista-Shannon and Concord-Green Valley be modeled as Type B faults to be consistent with similarly poorly-known faults statewide

  2. The three-dimensional seismological model a priori constrained: Confrontation with seismic data

    NASA Astrophysics Data System (ADS)

    Ricard, Yanick; Nataf, Henri-Claude; Montagner, Jean-Paul

    1996-04-01

    We compare the predictions of an a priori model of the upper mantle with seismic observations of surface waves and eigenmodes. The 3-Dimensional Seismological Model A Priori Constrained (3SMAC) has been developed by Nataf and Ricard [1996]. It is based on the interpretation by geodynamicists of the near surface layers of the Earth; on distributions of temperature, pressure, and composition as a function of depth; and then on estimates of seismic parameters (density, velocities, attenuations) from solid state laboratory measurements as a function of temperature and pressure. The 3SMAC predictions are confronted with observations consisting of phase velocities for Love and Rayleigh waves in the period range of 70-250 s [Montagner and Tanimoto, 1990]. We first show that tomographic inversions applied to 3SMAC synthetics induce a strong smoothing of the heterogeneities. This casts doubt on the meaning of the spectra of mantle heterogeneities revealed by tomography. We then show that most of the Love and Rayleigh fundamental mode observations for periods less than 200 s are satisfactorily predicted by 3SMAC. The major differences come from the seismic velocities under the Red Sea and Southeast China, which are much slower than what is estimated from 3SMAC, as well as those under Greenland, which are not as fast as the other cratonic areas. Because the lithosphere is thinner than 100 km under oceans and thinner than 300 km under continents in 3SMAC, we suggest that the existence of deeper lithospheric anomalies as proposed in many tomographic models is mostly due to a spurious effect of the inversion rather than implied by surface wave data. Half of the variance of the degree 2 anomaly mapped by low-degree eigenmode observations can be explained by lithospheric velocity structures. The other half is highly correlated with the distribution of deep slabs, but its amplitude is a factor of 3 or 4 larger than that predicted by 3SMAC. The lithospheric anomalies present a

  3. Plasma Ascorbic Acid, A Priori Diet Quality Score, and Incident Hypertension: A Prospective Cohort Study

    PubMed Central

    Buijsse, Brian; Jacobs, David R.; Steffen, Lyn M.; Kromhout, Daan; Gross, Myron D.

    2015-01-01

    Vitamin C may reduce risk of hypertension, either in itself or by marking a healthy diet pattern. We assessed whether plasma ascorbic acid and the a priori diet quality score relate to incident hypertension and whether they explain each other’s predictive abilities. Data were from 2884 black and white adults (43% black, mean age 35 years) initially hypertension-free in the Coronary Artery Risk Development in Young Adults Study (study year 10, 1995–1996). Plasma ascorbic acid was assessed at year 10 and the diet quality score at year 7. Eight-hundred-and-forty cases of hypertension were documented between years 10 and 25. After multiple adjustments, each 12-point (1 SD) higher diet quality score at year 7 related to mean 3.7 μmol/L (95% CI 2.9 to 4.6) higher plasma ascorbic acid at year 10. In separate multiple-adjusted Cox regression models, the hazard ratio of hypertension per 19.6-μmol/L (1 SD) higher ascorbic acid was 0.85 (95% CI 0.79–0.92) and per 12-points higher diet score 0.86 (95% CI 0.79–0.94). These hazard ratios changed little with mutual adjustment of ascorbic acid and diet quality score for each other, or when adjusted for anthropometric variables, diabetes, and systolic blood pressure at year 10. Intake of dietary vitamin C and several food groups high in vitamin C content were inversely related to hypertension, whereas supplemental vitamin C was not. In conclusion, plasma ascorbic acid and the a priori diet quality score independently predict hypertension. This suggests that hypertension risk is reduced by improving overall diet quality and/or vitamin C status. The inverse association seen for dietary but not for supplemental vitamin C suggests that vitamin C status is preferably improved by eating foods rich in vitamin C, in addition to not smoking and other dietary habits that prevent ascorbic acid from depletion. PMID:26683190

  4. Optimal quantum cloning based on the maximin principle by using a priori information

    NASA Astrophysics Data System (ADS)

    Kang, Peng; Dai, Hong-Yi; Wei, Jia-Hua; Zhang, Ming

    2016-10-01

    We propose an optimal 1 →2 quantum cloning method based on the maximin principle by making full use of a priori information of amplitude and phase about the general cloned qubit input set, which is a simply connected region enclosed by a "longitude-latitude grid" on the Bloch sphere. Theoretically, the fidelity of the optimal quantum cloning machine derived from this method is the largest in terms of the maximin principle compared with that of any other machine. The problem solving is an optimization process that involves six unknown complex variables, six vectors in an uncertain-dimensional complex vector space, and four equality constraints. Moreover, by restricting the structure of the quantum cloning machine, the optimization problem is simplified as a three-real-parameter suboptimization problem with only one equality constraint. We obtain the explicit formula for a suboptimal quantum cloning machine. Additionally, the fidelity of our suboptimal quantum cloning machine is higher than or at least equal to that of universal quantum cloning machines and phase-covariant quantum cloning machines. It is also underlined that the suboptimal cloning machine outperforms the "belt quantum cloning machine" for some cases.

  5. A Second Order Expansion of the Separatrix Map for Trigonometric Perturbations of a Priori Unstable Systems

    NASA Astrophysics Data System (ADS)

    Guardia, M.; Kaloshin, V.; Zhang, J.

    2016-11-01

    In this paper we study a so-called separatrix map introduced by Zaslavskii-Filonenko (Sov Phys JETP 27:851-857, 1968) and studied by Treschev (Physica D 116(1-2):21-43, 1998; J Nonlinear Sci 12(1):27-58, 2002), Piftankin (Nonlinearity (19):2617-2644, 2006) Piftankin and Treshchëv (Uspekhi Mat Nauk 62(2(374)):3-108, 2007). We derive a second order expansion of this map for trigonometric perturbations. In Castejon et al. (Random iteration of maps of a cylinder and diffusive behavior. Preprint available at arXiv:1501.03319, 2015), Guardia and Kaloshin (Stochastic diffusive behavior through big gaps in a priori unstable systems (in preparation), 2015), and Kaloshin et al. (Normally Hyperbolic Invariant Laminations and diffusive behavior for the generalized Arnold example away from resonances. Preprint available at http://www.terpconnect.umd.edu/vkaloshi/, 2015), applying the results of the present paper, we describe a class of nearly integrable deterministic systems with stochastic diffusive behavior.

  6. A quantum question order model supported by empirical tests of an a priori and precise prediction.

    PubMed

    Wang, Zheng; Busemeyer, Jerome R

    2013-10-01

    Question order effects are commonly observed in self-report measures of judgment and attitude. This article develops a quantum question order model (the QQ model) to account for four types of question order effects observed in literature. First, the postulates of the QQ model are presented. Second, an a priori, parameter-free, and precise prediction, called the QQ equality, is derived from these mathematical principles, and six empirical data sets are used to test the prediction. Third, a new index is derived from the model to measure similarity between questions. Fourth, we show that in contrast to the QQ model, Bayesian and Markov models do not generally satisfy the QQ equality and thus cannot account for the reported empirical data that support this equality. Finally, we describe the conditions under which order effects are predicted to occur, and we review a broader range of findings that are encompassed by these very same quantum principles. We conclude that quantum probability theory, initially invented to explain order effects on measurements in physics, appears to be a powerful natural explanation for order effects of self-report measures in social and behavioral sciences, too.

  7. A Second Order Expansion of the Separatrix Map for Trigonometric Perturbations of a Priori Unstable Systems

    NASA Astrophysics Data System (ADS)

    Guardia, M.; Kaloshin, V.; Zhang, J.

    2016-07-01

    In this paper we study a so-called separatrix map introduced by Zaslavskii-Filonenko (Sov Phys JETP 27:851-857, 1968) and studied by Treschev (Physica D 116(1-2):21-43, 1998; J Nonlinear Sci 12(1):27-58, 2002), Piftankin (Nonlinearity (19):2617-2644, 2006) Piftankin and Treshchëv (Uspekhi Mat Nauk 62(2(374)):3-108, 2007). We derive a second order expansion of this map for trigonometric perturbations. In Castejon et al. (Random iteration of maps of a cylinder and diffusive behavior. Preprint available at arXiv:1501.03319, 2015), Guardia and Kaloshin (Stochastic diffusive behavior through big gaps in a priori unstable systems (in preparation), 2015), and Kaloshin et al. (Normally Hyperbolic Invariant Laminations and diffusive behavior for the generalized Arnold example away from resonances. Preprint available at http://www.terpconnect.umd.edu/vkaloshi/, 2015), applying the results of the present paper, we describe a class of nearly integrable deterministic systems with stochastic diffusive behavior.

  8. A Priori Analyses of Three Subgrid-Scale Models for One-Parameter Families of Filters

    NASA Technical Reports Server (NTRS)

    Pruett, C. David; Adams, Nikolaus A.

    1998-01-01

    The decay of isotropic turbulence a compressible flow is examined by direct numerical simulation (DNS). A priori analyses of the DNS data are then performed to evaluate three subgrid-scale (SGS) models for large-eddy simulation (LES): a generalized Smagorinsky model (M1), a stress-similarity model (M2), and a gradient model (M3). The models exploit one-parameter second- or fourth-order filters of Pade type, which permit the cutoff wavenumber k(sub c) to be tuned independently of the grid increment (delta)x. The modeled (M) and exact (E) SGS-stresses are compared component-wise by correlation coefficients of the form C(E,M) computed over the entire three-dimensional fields. In general, M1 correlates poorly against exact stresses (C < 0.2), M3 correlates moderately well (C approx. 0.6), and M2 correlates remarkably well (0.8 < C < 1.0). Specifically, correlations C(E, M2) are high provided the grid and test filters are of the same order. Moreover, the highest correlations (C approx.= 1.0) result whenever the grid and test filters are identical (in both order and cutoff). Finally, present results reveal the exact SGS stresses obtained by grid filters of differing orders to be only moderately well correlated. Thus, in LES the model should not be specified independently of the filter.

  9. A Priori Attitudes Predict Amniocentesis Uptake in Women of Advanced Maternal Age: A Pilot Study.

    PubMed

    Grinshpun-Cohen, Julia; Miron-Shatz, Talya; Rhee-Morris, Laila; Briscoe, Barbara; Pras, Elon; Towner, Dena

    2015-01-01

    Amniocentesis is an invasive procedure performed during pregnancy to determine, among other things, whether the fetus has Down syndrome. It is often preceded by screening, which gives a probabilistic risk assessment. Thus, ample information is conveyed to women with the goal to inform their decisions. This study examined the factors that predict amniocentesis uptake among pregnant women of advanced maternal age (older than 35 years old at the time of childbirth). Participants filled out a questionnaire regarding risk estimates, demographics, and attitudes on screening and pregnancy termination before their first genetic counseling appointment and were followed up to 24 weeks of gestation. Findings show that women's decisions are not always informed by screening results or having a medical indication. Psychological factors measured at the beginning of pregnancy: amniocentesis risk tolerance, pregnancy termination tolerance, and age risk perception affected amniocentesis uptake. Although most women thought that screening for Down syndrome risk would inform their decision, they later stated other reasons for screening, such as preparing for the possibility of a child with special needs. Findings suggest that women's decisions regarding amniocentesis are driven not only by medical factors, but also by a priori attitudes. The authors believe that these should be addressed in the dialogue on women's informed use of prenatal tests. PMID:26065331

  10. Control-relevant models for glucose control using a priori patient characteristics.

    PubMed

    van Heusden, Klaske; Dassau, Eyal; Zisser, Howard C; Seborg, Dale E; Doyle, Francis J

    2012-07-01

    One of the difficulties in the development of a reliable artificial pancreas for people with type 1 diabetes mellitus (T1DM) is the lack of accurate models of an individual's response to insulin. Most control algorithms proposed to control the glucose level in subjects with T1DM are model-based. Avoiding postprandial hypoglycemia ( 60 mg/dl) while minimizing prandial hyperglycemia ( > 180 mg/dl) has shown to be difficult in a closed-loop setting due to the patient-model mismatch. In this paper, control-relevant models are developed for T1DM, as opposed to models that minimize a prediction error. The parameters of these models are chosen conservatively to minimize the likelihood of hypoglycemia events. To limit the conservatism due to large intersubject variability, the models are personalized using a priori patient characteristics. The models are implemented in a zone model predictive control algorithm. The robustness of these controllers is evaluated in silico, where hypoglycemia is completely avoided even after large meal disturbances. The proposed control approach is simple and the controller can be set up by a physician without the need for control expertise.

  11. A Priori Analysis of Flamelet-Based Modeling for a Dual-Mode Scramjet Combustor

    NASA Technical Reports Server (NTRS)

    Quinlan, Jesse R.; McDaniel, James C.; Drozda, Tomasz G.; Lacaze, Guilhem; Oefelein, Joseph

    2014-01-01

    An a priori investigation of the applicability of flamelet-based combustion models to dual-mode scramjet combustion was performed utilizing Reynolds-averaged simulations (RAS). For this purpose, the HIFiRE Direct Connect Rig (HDCR) flowpath, fueled with a JP-7 fuel surrogate and operating in dual- and scram-mode was considered. The chemistry of the JP-7 fuel surrogate was modeled using a 22 species, 18-step chemical reaction mechanism. Simulation results were compared to experimentally-obtained, time-averaged, wall pressure measurements to validate the RAS solutions. The analysis of the dual-mode operation of this flowpath showed regions of predominately non-premixed, high-Damkohler number, combustion. Regions of premixed combustion were also present but associated with only a small fraction of the total heat-release in the flow. This is in contrast to the scram-mode operation, where a comparable amount of heat is released from non-premixed and premixed combustion modes. Representative flamelet boundary conditions were estimated by analyzing probability density functions for temperature and pressure for pure fuel and oxidizer conditions. The results of the present study reveal the potential for a flamelet model to accurately model the combustion processes in the HDCR and likely other high-speed flowpaths of engineering interest.

  12. On Evaluation of Recharge Model Uncertainty: a Priori and a Posteriori

    SciTech Connect

    Ming Ye; Karl Pohlmann; Jenny Chapman; David Shafer

    2006-01-30

    Hydrologic environments are open and complex, rendering them prone to multiple interpretations and mathematical descriptions. Hydrologic analyses typically rely on a single conceptual-mathematical model, which ignores conceptual model uncertainty and may result in bias in predictions and under-estimation of predictive uncertainty. This study is to assess conceptual model uncertainty residing in five recharge models developed to date by different researchers based on different theories for Nevada and Death Valley area, CA. A recently developed statistical method, Maximum Likelihood Bayesian Model Averaging (MLBMA), is utilized for this analysis. In a Bayesian framework, the recharge model uncertainty is assessed, a priori, using expert judgments collected through an expert elicitation in the form of prior probabilities of the models. The uncertainty is then evaluated, a posteriori, by updating the prior probabilities to estimate posterior model probability. The updating is conducted through maximum likelihood inverse modeling by calibrating the Death Valley Regional Flow System (DVRFS) model corresponding to each recharge model against observations of head and flow. Calibration results of DVRFS for the five recharge models are used to estimate three information criteria (AIC, BIC, and KIC) used to rank and discriminate these models. Posterior probabilities of the five recharge models, evaluated using KIC, are used as weights to average head predictions, which gives posterior mean and variance. The posterior quantities incorporate both parametric and conceptual model uncertainties.

  13. The application of a priori structural information based regularization in image reconstruction in magnetic induction tomography

    NASA Astrophysics Data System (ADS)

    Dekdouk, B.; Ktistis, C.; Yin, W.; Armitage, D. W.; Peyton, A. J.

    2010-04-01

    Magnetic induction tomography (MIT) is a non-invasive contactless modality that could be capable of imaging the conductivity distribution of biological tissues. In this paper we consider the possibility of using absolute MIT voltage measurements for monitoring the progress of a peripheral hemorrhagic stroke in a human brain. The pathology is modelled as a local blood accumulation in the white matter. The solution of the MIT inverse problem is nonlinear and ill-posed and hence requires the use of a regularisation method. In this paper, we describe the construction and present the performance of a regularisation matrix based on a priori structural information of the head tissues obtained from a very recent MRI scan. The method takes the MRI scan as an initial state of the stroke and constructs a learning set containing the possible conductivity distributions of the current state of the stroke. This data is used to calculate an approximation of the covariance matrix and then a subspace is constructed using principal component analysis (PCA). It is shown by simulations the method is capable of producing a representative reconstruction of a stroke compared to smoothing Tikhonov regularization in a simplified model of the head.

  14. FORTRAN IV Program for One-Way Analysis of Variance with A Priori or A Posteriori Mean Comparisons

    ERIC Educational Resources Information Center

    Fordyce, Michael W.

    1977-01-01

    A flexible Fortran program for computing one way analysis of variance is described. Requiring minimal core space, the program provides a variety of useful group statistics, all summary statistics for the analysis, and all mean comparisons for a priori or a posteriori testing. (Author/JKS)

  15. Musical Probabilities, Abductive Reasoning, and Brain Mechanisms: Extended Perspective of "A Priori" Listening to Music within the Creative Cognition Approach

    ERIC Educational Resources Information Center

    Schmidt, Sebastian; Troge, Thomas A.; Lorrain, Denis

    2013-01-01

    A theory of listening to music is proposed. It suggests that, for listeners, the process of prediction is the starting point to experiencing music. This implies that perception of music starts through both a predisposed and an experience-based extrapolation into the future (this is labeled "a priori" listening). Indications for this…

  16. A priori noise and regularization in least squares collocation of gravity anomalies

    NASA Astrophysics Data System (ADS)

    Jarmołowski, Wojciech

    2013-12-01

    The paper describes the estimation of covariance parameters in least squares collocation (LSC) by the cross-validation (CV) technique called leave-one-out (LOO). Two parameters of Gauss-Markov third order model (GM3) are estimated together with a priori noise standard deviation, which contributes significantly to the covariance matrix composed of the signal and noise. Numerical tests are performed using large set of Bouguer gravity anomalies located in the central part of the U.S. Around 103 000 gravity stations are available in the selected area. This dataset, together with regular grids generated from EGM2008 geopotential model, give an opportunity to work with various spatial resolutions of the data and heterogeneous variances of the signal and noise. This plays a crucial role in the numerical investigations, because the spatial resolution of the gravity data determines the number of gravity details that we may observe and model. This establishes a relation between the spatial resolution of the data and the resolution of the gravity field model. This relation is inspected in the article and compared to the regularization problem occurring frequently in data modeling. Artykuł opisuje estymację parametrów kowariancji w kolokacji najmniejszych kwadratów (LSC) przy pomocy techniki kroswalidacji nazywanej leave-one-out (LOO). Wyznaczane są dwa parametry modelu Gaussa-Markova trzeciego rzędu (GM3) wraz z odchyleniem standardowym szumu a priori, które ma znaczny wpływ na macierz kowariancji złożoną z sygnału i szumu. Testy numeryczne przeprowadzono na dużym zbiorze anomalii grawimetrycznych Bouguera z obszaru centralnej części USA. Obszar ten mieści około 103000 pomiarów grawimetrycznych. Dane te wraz z regularnymi siatkami wygenerowanymi z modelu geopotencjalnego EGM2008 pozwalają na pracę z różną rozdzielczością przestrzenną i różnymi wariancjami sygnału i szumu. Odgrywa to kluczową rolę w badaniach numerycznych, ponieważ rozdzielczo

  17. An a priori DNS study of the shadow-position mixing model

    DOE PAGESBeta

    Zhao, Xin -Yu; Bhagatwala, Ankit; Chen, Jacqueline H.; Haworth, Daniel C.; Pope, Stephen B.

    2016-01-15

    In this study, the modeling of mixing by molecular diffusion is a central aspect for transported probability density function (tPDF) methods. In this paper, the newly-proposed shadow position mixing model (SPMM) is examined, using a DNS database for a temporally evolving di-methyl ether slot jet flame. Two methods that invoke different levels of approximation are proposed to extract the shadow displacement (equivalent to shadow position) from the DNS database. An approach for a priori analysis of the mixing-model performance is developed. The shadow displacement is highly correlated with both mixture fraction and velocity, and the peak correlation coefficient of themore » shadow displacement and mixture fraction is higher than that of the shadow displacement and velocity. This suggests that the composition-space localness is reasonably well enforced by the model, with appropriate choices of model constants. The conditional diffusion of mixture fraction and major species from DNS and from SPMM are then compared, using mixing rates that are derived by matching the mixture fraction scalar dissipation rates. Good qualitative agreement is found, for the prediction of the locations of zero and maximum/minimum conditional diffusion locations for mixture fraction and individual species. Similar comparisons are performed for DNS and the IECM (interaction by exchange with the conditional mean) model. The agreement between SPMM and DNS is better than that between IECM and DNS, in terms of conditional diffusion iso-contour similarities and global normalized residual levels. It is found that a suitable value for the model constant c that controls the mixing frequency can be derived using the local normalized scalar variance, and that the model constant a controls the localness of the model. A higher-Reynolds-number test case is anticipated to be more appropriate to evaluate the mixing models, and stand-alone transported PDF simulations are required to more fully enforce

  18. LLNL's 3-D A Priori Model Constraints and Uncertainties for Improving Seismic Location

    SciTech Connect

    Flanagan, M P; Myers, S C; Schultz, C A; Pasyanos, M E; Bhattacharyya, J

    2000-07-14

    Accurate seismic event location is key to monitoring the Comprehensive Nuclear-Test-Ban Treaty (CTBT) and is largely dependent on our understanding of the crust and mantle velocity structure. This is particularly challenging in aseismic regions, devoid of calibration data, which leads us to rely on a priori constraints on the velocities. We investigate our ability to improve seismic event location in the Middle East, North Africa, and the Former Soviet Union (ME/NA/FSU) by using a priori three-dimensional (3-D) velocity models in lieu of more commonly used one dimensional (1-D) models. Event locations based on 1-D models are often biased, as they do not account for significant travel-time variations that result from heterogeneous crust and mantle; it follows that 3-D velocity models have the potential to reduce this bias. Here, we develop a composite 3-D model for the ME/NA/FSU regions. This fully 3-D model is an amalgamation of studies ranging from seismic reflection to geophysical analogy. Our a priori model specifies geographic boundaries and velocity structures based on geology, tectonics, and seismicity and information taken from published literature, namely a global sediment thickness map of 1{sup o} resolution (Laske and Masters, 1997), a regionalized crustal model based on geology and tectonics (Sweeney and Walter, 1998; Bhattacharyya et al., 2000; Walter et al., 2000), and regionalized upper mantle (RUM) models developed from teleseismic travel times (Gudmundsson and Sambridge, 1998). The components of this model were chosen for the complementary structures they provide. The 1{sup o} sediment map and regionalized crustal model provide detailed structures and boundaries not available in the more coarse 5{sup o} models used for global-scale studies. The RUM models offer improved resolution over global tomography, most notably above depths of 300 km where heterogeneity is greatest; however, we plan to test other published upper mantle models of both P- and S

  19. A-priori and a-posteriori assessment of SGS models for shock-boundary layer interactions

    NASA Astrophysics Data System (ADS)

    Jammalamadaka, Avinash; Li, Zhaorui; Jaberi, Farhad

    2010-11-01

    A-priori and a-posteriori assessments of subgrid-scale (SGS) large-eddy simulation (LES) models are made for an incident shock wave interacting with a Mach 2 flat-plate supersonic turbulent boundary layer using direct numerical simulation (DNS) data. The governing equations for DNS and LES are solved using the seventh-order Monotonicity Preserving scheme for Euler fluxes and the sixth-order compact scheme for viscous terms. The SGS models tested included constant coefficient and dynamic eddy-viscosity and similarity models. A-priori tests confirm that the similarity- and mixed-type models are superior to those developed based purely on eddy-viscosity assumption. However, some of the eddy-viscosity models still perform adequately in a-posteriori tests. Overall, dynamic models show reasonably good agreement with the DNS data.

  20. A priori error estimates for an hp-version of the discontinuous Galerkin method for hyperbolic conservation laws

    NASA Technical Reports Server (NTRS)

    Bey, Kim S.; Oden, J. Tinsley

    1993-01-01

    A priori error estimates are derived for hp-versions of the finite element method for discontinuous Galerkin approximations of a model class of linear, scalar, first-order hyperbolic conservation laws. These estimates are derived in a mesh dependent norm in which the coefficients depend upon both the local mesh size h(sub K) and a number p(sub k) which can be identified with the spectral order of the local approximations over each element.

  1. LandScape: a simple method to aggregate p-values and other stochastic variables without a priori grouping.

    PubMed

    Wiuf, Carsten; Schaumburg-Müller Pallesen, Jonatan; Foldager, Leslie; Grove, Jakob

    2016-08-01

    In many areas of science it is custom to perform many, potentially millions, of tests simultaneously. To gain statistical power it is common to group tests based on a priori criteria such as predefined regions or by sliding windows. However, it is not straightforward to choose grouping criteria and the results might depend on the chosen criteria. Methods that summarize, or aggregate, test statistics or p-values, without relying on a priori criteria, are therefore desirable. We present a simple method to aggregate a sequence of stochastic variables, such as test statistics or p-values, into fewer variables without assuming a priori defined groups. We provide different ways to evaluate the significance of the aggregated variables based on theoretical considerations and resampling techniques, and show that under certain assumptions the FWER is controlled in the strong sense. Validity of the method was demonstrated using simulations and real data analyses. Our method may be a useful supplement to standard procedures relying on evaluation of test statistics individually. Moreover, by being agnostic and not relying on predefined selected regions, it might be a practical alternative to conventionally used methods of aggregation of p-values over regions. The method is implemented in Python and freely available online (through GitHub, see the Supplementary information). PMID:27269897

  2. Using models to guide field experiments: a priori predictions for the CO 2 response of a nutrient- and water-limited native Eucalypt woodland

    DOE PAGESBeta

    Medlyn, Belinda E.; De Kauwe, Martin G.; Zaehle, Sönke; Walker, Anthony P.; Duursma, Remko A.; Luus, Kristina; Mishurov, Mikhail; Pak, Bernard; Smith, Benjamin; Wang, Ying-Ping; et al

    2016-05-09

    One major uncertainty in Earth System models is the response of terrestrial ecosystems to rising atmospheric CO2 concentration (Ca), particularly under nutrient-lim- ited conditions. The Eucalyptus Free-Air CO2 Enrichment (EucFACE) experiment, recently established in a nutrient- and water-limited woodlands, presents a unique opportunity to address this uncertainty, but can best do so if key model uncertainties have been identified in advance. Moreover, we applied seven vegetation models, which have previously been comprehensively assessed against earlier forest FACE experi- ments, to simulate a priori possible outcomes from EucFACE. Our goals were to provide quantitative projections against which to evaluate data asmore » they are collected, and to identify key measurements that should be made in the experiment to allow discrimination among alternative model assumptions in a postexperiment model intercompari- son. Simulated responses of annual net primary productivity (NPP) to elevated Ca ranged from 0.5 to 25% across models. The simulated reduction of NPP during a low-rainfall year also varied widely, from 24 to 70%. Key processes where assumptions caused disagreement among models included nutrient limitations to growth; feedbacks to nutri- ent uptake; autotrophic respiration; and the impact of low soil moisture availability on plant processes. Finally, knowledge of the causes of variation among models is now guiding data collection in the experiment, with the expectation that the experimental data can optimally inform future model improvements.« less

  3. Using models to guide field experiments: a priori predictions for the CO2 response of a nutrient- and water-limited native Eucalypt woodland.

    PubMed

    Medlyn, Belinda E; De Kauwe, Martin G; Zaehle, Sönke; Walker, Anthony P; Duursma, Remko A; Luus, Kristina; Mishurov, Mikhail; Pak, Bernard; Smith, Benjamin; Wang, Ying-Ping; Yang, Xiaojuan; Crous, Kristine Y; Drake, John E; Gimeno, Teresa E; Macdonald, Catriona A; Norby, Richard J; Power, Sally A; Tjoelker, Mark G; Ellsworth, David S

    2016-08-01

    The response of terrestrial ecosystems to rising atmospheric CO2 concentration (Ca ), particularly under nutrient-limited conditions, is a major uncertainty in Earth System models. The Eucalyptus Free-Air CO2 Enrichment (EucFACE) experiment, recently established in a nutrient- and water-limited woodland presents a unique opportunity to address this uncertainty, but can best do so if key model uncertainties have been identified in advance. We applied seven vegetation models, which have previously been comprehensively assessed against earlier forest FACE experiments, to simulate a priori possible outcomes from EucFACE. Our goals were to provide quantitative projections against which to evaluate data as they are collected, and to identify key measurements that should be made in the experiment to allow discrimination among alternative model assumptions in a postexperiment model intercomparison. Simulated responses of annual net primary productivity (NPP) to elevated Ca ranged from 0.5 to 25% across models. The simulated reduction of NPP during a low-rainfall year also varied widely, from 24 to 70%. Key processes where assumptions caused disagreement among models included nutrient limitations to growth; feedbacks to nutrient uptake; autotrophic respiration; and the impact of low soil moisture availability on plant processes. Knowledge of the causes of variation among models is now guiding data collection in the experiment, with the expectation that the experimental data can optimally inform future model improvements. PMID:26946185

  4. A priori evaluation of two-stage cluster sampling for accuracy assessment of large-area land-cover maps

    USGS Publications Warehouse

    Wickham, J.D.; Stehman, S.V.; Smith, J.H.; Wade, T.G.; Yang, L.

    2004-01-01

    Two-stage cluster sampling reduces the cost of collecting accuracy assessment reference data by constraining sample elements to fall within a limited number of geographic domains (clusters). However, because classification error is typically positively spatially correlated, within-cluster correlation may reduce the precision of the accuracy estimates. The detailed population information to quantify a priori the effect of within-cluster correlation on precision is typically unavailable. Consequently, a convenient, practical approach to evaluate the likely performance of a two-stage cluster sample is needed. We describe such an a priori evaluation protocol focusing on the spatial distribution of the sample by land-cover class across different cluster sizes and costs of different sampling options, including options not imposing clustering. This protocol also assesses the two-stage design's adequacy for estimating the precision of accuracy estimates for rare land-cover classes. We illustrate the approach using two large-area, regional accuracy assessments from the National Land-Cover Data (NLCD), and describe how the a priorievaluation was used as a decision-making tool when implementing the NLCD design.

  5. A Priori Analysis of a Compressible Flamelet Model using RANS Data for a Dual-Mode Scramjet Combustor

    NASA Technical Reports Server (NTRS)

    Quinlan, Jesse R.; Drozda, Tomasz G.; McDaniel, James C.; Lacaze, Guilhem; Oefelein, Joseph

    2015-01-01

    In an effort to make large eddy simulation of hydrocarbon-fueled scramjet combustors more computationally accessible using realistic chemical reaction mechanisms, a compressible flamelet/progress variable (FPV) model was proposed that extends current FPV model formulations to high-speed, compressible flows. Development of this model relied on observations garnered from an a priori analysis of the Reynolds-Averaged Navier-Stokes (RANS) data obtained for the Hypersonic International Flight Research and Experimentation (HI-FiRE) dual-mode scramjet combustor. The RANS data were obtained using a reduced chemical mechanism for the combustion of a JP-7 surrogate and were validated using avail- able experimental data. These RANS data were then post-processed to obtain, in an a priori fashion, the scalar fields corresponding to an FPV-based modeling approach. In the current work, in addition to the proposed compressible flamelet model, a standard incompressible FPV model was also considered. Several candidate progress variables were investigated for their ability to recover static temperature and major and minor product species. The effects of pressure and temperature on the tabulated progress variable source term were characterized, and model coupling terms embedded in the Reynolds- averaged Navier-Stokes equations were studied. Finally, results for the novel compressible flamelet/progress variable model were presented to demonstrate the improvement attained by modeling the effects of pressure and flamelet boundary conditions on the combustion.

  6. Use of a priori spectral information in the measurement of x-ray flux with filtered diode arrays.

    PubMed

    Marrs, R E; Widmann, K; Brown, G V; Heeter, R F; MacLaren, S A; May, M J; Moore, A S; Schneider, M B

    2015-10-01

    Filtered x-ray diode (XRD) arrays are often used to measure x-ray spectra vs. time from spectrally continuous x-ray sources such as hohlraums. A priori models of the incident x-ray spectrum enable a more accurate unfolding of the x-ray flux as compared to the standard technique of modifying a thermal Planckian with spectral peaks or dips at the response energy of each filtered XRD channel. A model x-ray spectrum consisting of a thermal Planckian, a Gaussian at higher energy, and (in some cases) a high energy background provides an excellent fit to XRD-array measurements of x-ray emission from laser heated hohlraums. If high-resolution measurements of part of the x-ray emission spectrum are available, that information can be included in the a priori model. In cases where the x-ray emission spectrum is not Planckian, candidate x-ray spectra can be allowed or excluded by fitting them to measured XRD voltages. Examples are presented from the filtered XRD arrays, named Dante, at the National Ignition Facility and the Laboratory for Laser Energetics. PMID:26520959

  7. Parametric Study of Urban-Like Topographic Statistical Moments Relevant to a Priori Modelling of Bulk Aerodynamic Parameters

    NASA Astrophysics Data System (ADS)

    Zhu, Xiaowei; Iungo, G. Valerio; Leonardi, Stefano; Anderson, William

    2016-08-01

    For a horizontally homogeneous, neutrally stratified atmospheric boundary layer (ABL), aerodynamic roughness length, z_0 , is the effective elevation at which the streamwise component of mean velocity is zero. A priori prediction of z_0 based on topographic attributes remains an open line of inquiry in planetary boundary-layer research. Urban topographies - the topic of this study - exhibit spatial heterogeneities associated with variability of building height, width, and proximity with adjacent buildings; such variability renders a priori, prognostic z_0 models appealing. Here, large-eddy simulation (LES) has been used in an extensive parametric study to characterize the ABL response (and z_0 ) to a range of synthetic, urban-like topographies wherein statistical moments of the topography have been systematically varied. Using LES results, we determined the hierarchical influence of topographic moments relevant to setting z_0 . We demonstrate that standard deviation and skewness are important, while kurtosis is negligible. This finding is reconciled with a model recently proposed by Flack and Schultz (J Fluids Eng 132:041203-1-041203-10, 2010), who demonstrate that z_0 can be modelled with standard deviation and skewness, and two empirical coefficients (one for each moment). We find that the empirical coefficient related to skewness is not constant, but exhibits a dependence on standard deviation over certain ranges. For idealized, quasi-uniform cubic topographies and for complex, fully random urban-like topographies, we demonstrate strong performance of the generalized Flack and Schultz model against contemporary roughness correlations.

  8. Use of a priori spectral information in the measurement of x-ray flux with filtered diode arrays

    NASA Astrophysics Data System (ADS)

    Marrs, R. E.; Widmann, K.; Brown, G. V.; Heeter, R. F.; MacLaren, S. A.; May, M. J.; Moore, A. S.; Schneider, M. B.

    2015-10-01

    Filtered x-ray diode (XRD) arrays are often used to measure x-ray spectra vs. time from spectrally continuous x-ray sources such as hohlraums. A priori models of the incident x-ray spectrum enable a more accurate unfolding of the x-ray flux as compared to the standard technique of modifying a thermal Planckian with spectral peaks or dips at the response energy of each filtered XRD channel. A model x-ray spectrum consisting of a thermal Planckian, a Gaussian at higher energy, and (in some cases) a high energy background provides an excellent fit to XRD-array measurements of x-ray emission from laser heated hohlraums. If high-resolution measurements of part of the x-ray emission spectrum are available, that information can be included in the a priori model. In cases where the x-ray emission spectrum is not Planckian, candidate x-ray spectra can be allowed or excluded by fitting them to measured XRD voltages. Examples are presented from the filtered XRD arrays, named Dante, at the National Ignition Facility and the Laboratory for Laser Energetics.

  9. Knowledge Management.

    ERIC Educational Resources Information Center

    1999

    The first of the four papers in this symposium, "Knowledge Management and Knowledge Dissemination" (Wim J. Nijhof), presents two case studies exploring the strategies companies use in sharing and disseminating knowledge and expertise among employees. "A Theory of Knowledge Management" (Richard J. Torraco), develops a conceptual framework for…

  10. Estimation of the real aperture radar modulation transfer function directly from synthetic aperture radar ocean wave image spectra without a priori knowledge of the ocean wave height spectrum

    NASA Astrophysics Data System (ADS)

    Jacobsen, S.; HøGda, K. A.

    1994-07-01

    The phase and amplitude of the real aperture radar (RAR) modulation transfer function (MTF) are, applying both simulated and real synthetic aperture radar (SAR) image spectra, shown to strongly influence the SAR ocean wave imaging of range- (or near-range) traveling wave systems. Conventionally, in situ measurement of the sea state has been used in connection with SAR estimation of the RAR MTF. In most cases, the SAR imaging has been simulated by varying the phase and amplitude of the transfer function until some criterium for best fit between the measured and simulated spectra is met. The main problem with this method is the need for in situ buoy measurements of the underlying ocean wave height spectrum. This paper proposes a new method for estimating the RAR MTF directly from the SAR ocean wave image spectrum. Hence the method differs from previously used methods in that it is independent of in situ measurements of the sea state. The only (weak) restriction is that the observed wave system is range- or near-range traveling. On the basis of three range-going profiles the RAR MTF phase and amplitude are estimated. Investigations using synthetic data reveal that the SAR image spectrum for realistic sea states is colored by the unknown transfer function to such an extent that the underlying wave spectral form is not critical. Experimentally, the phase and amplitude of the RAR modulation are computed using the Norwegian Continental Shelf Experiment 1988 data. It is shown that the phase is most important for the SAR spectral distribution. Typically, the phase is observed to be in the interval from 60° to 110° and the amplitude to be of the order of 10-18. Furthermore, it is shown from simulation studies that marked changes in real SAR image spectra crossing an atmospheric front are recreated when the measured MTF phase and amplitude are used. Eventually, the hydrodynamic modulation is also extracted from the RAR MTF data. Variations of the hydrodynamic MTF phase across the abovementioned front are focused on. The estimates confirm a consistent wind direction induced modulation on each side of the front. No marked trends are observed for the amplitude. The overall conclusion of the study is that the conformity between simulated and measured spectra is improved when measured RAR MTFs are incorporated in SAR imaging simulation procedures.

  11. Layering ratios: a systematic approach to the inversion of surface wave data in the absence of a priori information

    NASA Astrophysics Data System (ADS)

    Cox, Brady R.; Teague, David P.

    2016-10-01

    Surface wave methods provide a cost effective means of developing shear wave velocity (Vs) profiles for applications such as dynamic site characterization and seismic site response analyses. However, the inverse problem involved in obtaining a realistic layered earth model from surface wave dispersion data is inherently ill-posed, non-linear and mix-determined, without a unique solution. When available, a priori information such as geotechnical boreholes or geologic well logs should be used to aid in constraining site-specific inversion parameters. Unfortunately, a priori information is often unavailable, particularly at significant depths, and a `blind analysis' must be performed. In these situations, the analyst must decide on an appropriate number of layers and ranges for their corresponding inversion parameters (i.e. trial number of layers and ranges in their respective thicknesses, shear wave velocities, compression wave velocities and mass densities). Selection of these parameters has been shown to significantly impact the results of an inversion. This paper presents a method for conducting multiple inversions utilizing systematically varied inversion layering parametrizations in order to identify and encompass the most reasonable layered earth models for a site. Each parametrization is defined by a unique layering ratio, which represents a multiplier that systemically increases the potential thickness of each layer in the inversion parametrization based on the potential thickness of the layer directly above it. The layering ratio method is demonstrated at two sites associated with the InterPacific Project, wherein it is shown to significantly aid in selecting reasonable Vs profiles that are close representations of the subsurface. While the goal of the layering ratio inversion methodology is not necessarily to find the `optimal' or `best' Vs profile for a site, it may be successful at doing so for certain sites/datasets. However, the primary reason for using

  12. Subfilter-Scale Fluxes over a Surface Roughness Transition. Part II: A priori Study of Large-Eddy Simulation Models

    NASA Astrophysics Data System (ADS)

    Carper, Matthew A.; Porté-Agel, Fernando

    2008-04-01

    The ability of subfilter-scale (SFS) models to reproduce the statistical properties of SFS stresses and energy transfers over heterogeneous surface roughness is key to improving the accuracy of large-eddy simulations of the atmospheric boundary layer. In this study, several SFS models are evaluated a priori using experimental data acquired downwind of a rough-to-smooth transition in a wind tunnel. The SFS models studied include the eddy-viscosity, similarity, non-linear and a mixed model consisting of a combination of the eddy-viscosity and non-linear models. The dynamic eddy-viscosity model is also evaluated. The experimental data consist of vertical and horizontal planes of high-spatial-resolution velocity fields measured using particle image velocimetry. These velocity fields are spatially filtered and used to calculate SFS stresses and SFS transfer rates of resolved kinetic energy. Coefficients for each SFS model are calculated by matching the measured and modelled SFS energy transfer rates. For the eddy-viscosity model, the Smagorinsky coefficient is also evaluated using a dynamic procedure. The model coefficients are found to be scale dependent when the filter scales are larger than the vertical measurement height and fall into the production subrange of the turbulence where the flow scales are anisotropic. Near the surface, the Smagorinsky coefficient is also found to decrease with distance downwind from the transition, in response to the increase in mean shear as the flow adjusts to the smooth surface. In a priori tests, the ability of each model to reproduce statistical properties of the SFS stress is assessed. While the eddy-viscosity model has low spatial correlation with the measured stress, it predicts mean stresses with the same accuracy as the other models. However, the deficiency of the eddy-viscosity model is apparent in the underestimation of the standard deviation of the SFS stresses and the inability to predict transfers of kinetic energy from

  13. Layering ratios: a systematic approach to the inversion of surface wave data in the absence of a-priori information

    NASA Astrophysics Data System (ADS)

    Cox, Brady R.; Teague, David P.

    2016-08-01

    Surface wave methods provide a cost effective means of developing shear wave velocity (Vs) profiles for applications such as dynamic site characterization and seismic site response analyses. However, the inverse problem involved in obtaining a realistic layered earth model from surface wave dispersion data is inherently ill-posed, nonlinear, and mix-determined, without a unique solution. When available, a-priori information such as geotechnical boreholes or geologic well logs should be used to aid in constraining site-specific inversion parameters. Unfortunately, a-priori information is often unavailable, particularly at significant depths, and a "blind analysis" must be performed. In these situations, the analyst must decide on an appropriate number of layers and ranges for their corresponding inversion parameters (i.e., trial number of layers and ranges in their respective thicknesses, shear wave velocities, compression wave velocities, and mass densities). Selection of these parameters has been shown to significantly impact the results of an inversion. This paper presents a method for conducting multiple inversions utilizing systematically-varied inversion layering parameterizations in order to identify and encompass the most reasonable layered earth models for a site. Each parameterization is defined by a unique layering ratio, which represents a multiplier that systemically increases the potential thickness of each layer in the inversion parameterization based on the potential thickness of the layer directly above it. The layering ratio method is demonstrated at two sites associated with the InterPacific Project, wherein it is shown to significantly aid in selecting reasonable Vs profiles that are close representations of the subsurface. While the goal of the layering ratio inversion methodology is not necessarily to find the "optimal" or "best" Vs profile for a site, it may be successful at doing so for certain sites/datasets. However, the primary reason for

  14. Priori mask guided image reconstruction (p-MGIR) for ultra-low dose cone-beam computed tomography

    NASA Astrophysics Data System (ADS)

    Park, Justin C.; Zhang, Hao; Chen, Yunmei; Fan, Qiyong; Kahler, Darren L.; Liu, Chihray; Lu, Bo

    2015-11-01

    Recently, the compressed sensing (CS) based iterative reconstruction method has received attention because of its ability to reconstruct cone beam computed tomography (CBCT) images with good quality using sparsely sampled or noisy projections, thus enabling dose reduction. However, some challenges remain. In particular, there is always a tradeoff between image resolution and noise/streak artifact reduction based on the amount of regularization weighting that is applied uniformly across the CBCT volume. The purpose of this study is to develop a novel low-dose CBCT reconstruction algorithm framework called priori mask guided image reconstruction (p-MGIR) that allows reconstruction of high-quality low-dose CBCT images while preserving the image resolution. In p-MGIR, the unknown CBCT volume was mathematically modeled as a combination of two regions: (1) where anatomical structures are complex, and (2) where intensities are relatively uniform. The priori mask, which is the key concept of the p-MGIR algorithm, was defined as the matrix that distinguishes between the two separate CBCT regions where the resolution needs to be preserved and where streak or noise needs to be suppressed. We then alternately updated each part of image by solving two sub-minimization problems iteratively, where one minimization was focused on preserving the edge information of the first part while the other concentrated on the removal of noise/artifacts from the latter part. To evaluate the performance of the p-MGIR algorithm, a numerical head-and-neck phantom, a Catphan 600 physical phantom, and a clinical head-and-neck cancer case were used for analysis. The results were compared with the standard Feldkamp-Davis-Kress as well as conventional CS-based algorithms. Examination of the p-MGIR algorithm showed that high-quality low-dose CBCT images can be reconstructed without compromising the image resolution. For both phantom and the patient cases, the p-MGIR is able to achieve a clinically

  15. Wiener filtering of surface EMG with a priori SNR estimation toward myoelectric control for neurological injury patients.

    PubMed

    Liu, Jie; Ying, Dongwen; Zhou, Ping

    2014-12-01

    Voluntary surface electromyogram (EMG) signals from neurological injury patients are often corrupted by involuntary background interference or spikes, imposing difficulties for myoelectric control. We present a novel framework to suppress involuntary background spikes during voluntary surface EMG recordings. The framework applies a Wiener filter to restore voluntary surface EMG signals based on tracking a priori signal to noise ratio (SNR) by using the decision-directed method. Semi-synthetic surface EMG signals contaminated by different levels of involuntary background spikes were constructed from a database of surface EMG recordings in a group of spinal cord injury subjects. After the processing, the onset detection of voluntary muscle activity was significantly improved against involuntary background spikes. The magnitude of voluntary surface EMG signals can also be reliably estimated for myoelectric control purpose. Compared with the previous sample entropy analysis for suppressing involuntary background spikes, the proposed framework is characterized by quick and simple implementation, making it more suitable for application in a myoelectric control system toward neurological injury rehabilitation. PMID:25443536

  16. Numerical aspects of drift kinetic turbulence: ill-posedness, regularization and a priori estimates of sub-grid-scale terms

    NASA Astrophysics Data System (ADS)

    Samtaney, Ravi

    2012-01-01

    We present a numerical method based on an Eulerian approach to solve the Vlasov-Poisson system for 4D drift kinetic turbulence. Our numerical approach uses a conservative formulation with high-order (fourth and higher) evaluation of the numerical fluxes coupled with a fourth-order accurate Poisson solver. The fluxes are computed using a low-dissipation high-order upwind differencing method or a tuned high-resolution finite difference method with no numerical dissipation. Numerical results are presented for the case of imposed ion temperature and density gradients. Different forms of controlled regularization to achieve a well-posed system are used to obtain convergent resolved simulations. The regularization of the equations is achieved by means of a simple collisional model, by inclusion of an ad-hoc hyperviscosity or artificial viscosity term or by implicit dissipation in upwind schemes. Comparisons between the various methods and regularizations are presented. We apply a filtering formalism to the Vlasov equation and derive sub-grid-scale (SGS) terms analogous to the Reynolds stress terms in hydrodynamic turbulence. We present a priori quantifications of these SGS terms in resolved simulations of drift-kinetic turbulence by applying a sharp filter.

  17. 'Aussie normals': an a priori study to develop clinical chemistry reference intervals in a healthy Australian population.

    PubMed

    Koerbin, G; Cavanaugh, J A; Potter, J M; Abhayaratna, W P; West, N P; Glasgow, N; Hawkins, C; Armbruster, D; Oakman, C; Hickman, P E

    2015-02-01

    Development of reference intervals is difficult, time consuming, expensive and beyond the scope of most laboratories. The Aussie Normals study is a direct a priori study to determine reference intervals in healthy Australian adults. All volunteers completed a health and lifestyle questionnaire and exclusion was based on conditions such as pregnancy, diabetes, renal or cardiovascular disease. Up to 91 biochemical analyses were undertaken on a variety of analytical platforms using serum samples collected from 1856 volunteers. We report on our findings for 40 of these analytes and two calculated parameters performed on the Abbott ARCHITECTci8200/ci16200 analysers. Not all samples were analysed for all assays due to volume requirements or assay/instrument availability. Results with elevated interference indices and those deemed unsuitable after clinical evaluation were removed from the database. Reference intervals were partitioned based on the method of Harris and Boyd into three scenarios, combined gender, males and females and age and gender. We have performed a detailed reference interval study on a healthy Australian population considering the effects of sex, age and body mass. These reference intervals may be adapted to other manufacturer's analytical methods using method transference.

  18. Wiener Filtering of Surface EMG with a priori SNR Estimation Toward Myoelectric Control for Neurological Injury Patients

    PubMed Central

    Liu, Jie; Ying, Dongwen; Zhou, Ping

    2014-01-01

    Voluntary surface electromyogram (EMG) signals from neurological injury patients are often corrupted by involuntary background interference or spikes, imposing difficulties for myoelectric control. We present a novel framework to suppress involuntary background spikes during voluntary surface EMG recordings. The framework applies a Wiener filter to restore voluntary surface EMG signals based on tracking a priori signal to noise ratio (SNR) by using the decision-directed method. Semi-synthetic surface EMG signals contaminated by different levels of involuntary background spikes were constructed from a database of surface EMG recordings in a group of spinal cord injury subjects. After the processing, the onset detection of voluntary muscle activity was significantly improved against involuntary background spikes. The magnitude of voluntary surface EMG signals can also be reliably estimated for myoelectric control purpose. Compared with the previous sample entropy analysis for suppressing involuntary background spikes, the proposed framework is characterized by quick and simple implementation, making it more suitable for application in a myoelectric control system toward neurological injury rehabilitation. PMID:25443536

  19. Knowledge Management

    NASA Technical Reports Server (NTRS)

    Shariq, Syed Z.; Kutler, Paul (Technical Monitor)

    1997-01-01

    The emergence of rapidly expanding technologies for distribution and dissemination of information and knowledge has brought to focus the opportunities for development of knowledge-based networks, knowledge dissemination and knowledge management technologies and their potential applications for enhancing productivity of knowledge work. The challenging and complex problems of the future can be best addressed by developing the knowledge management as a new discipline based on an integrative synthesis of hard and soft sciences. A knowledge management professional society can provide a framework for catalyzing the development of proposed synthesis as well as serve as a focal point for coordination of professional activities in the strategic areas of education, research and technology development. Preliminary concepts for the development of the knowledge management discipline and the professional society are explored. Within this context of knowledge management discipline and the professional society, potential opportunities for application of information technologies for more effectively delivering or transferring information and knowledge (i.e., resulting from the NASA's Mission to Planet Earth) for the development of policy options in critical areas of national and global importance (i.e., policy decisions in economic and environmental areas) can be explored, particularly for those policy areas where a global collaborative knowledge network is likely to be critical to the acceptance of the policies.

  20. A nonlinear structural subgrid-scale closure for compressible MHD. II. A priori comparison on turbulence simulation data

    NASA Astrophysics Data System (ADS)

    Grete, Philipp; Vlaykov, Dimitar G.; Schmidt, Wolfram; Schleicher, Dominik R. G.

    2016-06-01

    Even though compressible plasma turbulence is encountered in many astrophysical phenomena, its effect is often not well understood. Furthermore, direct numerical simulations are typically not able to reach the extreme parameters of these processes. For this reason, large-eddy simulations (LES), which only simulate large and intermediate scales directly, are employed. The smallest, unresolved scales and the interactions between small and large scales are introduced by means of a subgrid-scale (SGS) model. We propose and verify a new set of nonlinear SGS closures for future application as an SGS model in LES of compressible magnetohydrodynamics. We use 15 simulations (without explicit SGS model) of forced, isotropic, homogeneous turbulence with varying sonic Mach number Ms=0.2 -20 as reference data for the most extensive a priori tests performed so far in literature. In these tests, we explicitly filter the reference data and compare the performance of the new closures against the most widely tested closures. These include eddy-viscosity and scale-similarity type closures with different normalizations. Performance indicators are correlations with the turbulent energy and cross-helicity flux, the average SGS dissipation, the topological structure and the ability to reproduce the correct magnitude and the direction of the SGS vectors. We find that only the new nonlinear closures exhibit consistently high correlations (median value > 0.8) with the data over the entire parameter space and outperform the other closures in all tests. Moreover, we show that these results are independent of resolution and chosen filter scale. Additionally, the new closures are effectively coefficient-free with a deviation of less than 20%.

  1. Local digital control of power electronic converters in a dc microgrid based on a-priori derivation of switching surfaces

    NASA Astrophysics Data System (ADS)

    Banerjee, Bibaswan

    In power electronic basedmicrogrids, the computational requirements needed to implement an optimized online control strategy can be prohibitive. The work presented in this dissertation proposes a generalized method of derivation of geometric manifolds in a dc microgrid that is based on the a-priori computation of the optimal reactions and trajectories for classes of events in a dc microgrid. The proposed states are the stored energies in all the energy storage elements of the dc microgrid and power flowing into them. It is anticipated that calculating a large enough set of dissimilar transient scenarios will also span many scenarios not specifically used to develop the surface. These geometric manifolds will then be used as reference surfaces in any type of controller, such as a sliding mode hysteretic controller. The presence of switched power converters in microgrids involve different control actions for different system events. The control of the switch states of the converters is essential for steady state and transient operations. A digital memory look-up based controller that uses a hysteretic sliding mode control strategy is an effective technique to generate the proper switch states for the converters. An example dcmicrogrid with three dc-dc boost converters and resistive loads is considered for this work. The geometric manifolds are successfully generated for transient events, such as step changes in the loads and the sources. The surfaces corresponding to a specific case of step change in the loads are then used as reference surfaces in an EEPROM for experimentally validating the control strategy. The required switch states corresponding to this specific transient scenario are programmed in the EEPROM as a memory table. This controls the switching of the dc-dc boost converters and drives the system states to the reference manifold. In this work, it is shown that this strategy effectively controls the system for a transient condition such as step changes

  2. Knowledge Management

    ERIC Educational Resources Information Center

    Deepak

    2005-01-01

    Knowledge Management (KM) is the process through which organizations generate value from their intellectual and knowledge-based assets. Frequently generating value from such assets means sharing them among employees, divisions and even with other companies in order to develop best practices. This article discusses three basic aspects of…

  3. Knowledge Alive

    ERIC Educational Resources Information Center

    Perkins, David

    2004-01-01

    The strategies that expose learners to the large volume of knowledge, enables them for creative thinking, self-management and deep reading. The different ways of creating knowledge with the help of creativity, communication, organization, problem solving and decision-making are discussed.

  4. [Influence of a priori parameters on bayesian relative risks estimations. Spatial distribution of bladder cancer in the urban area of Grenoble].

    PubMed

    Colonna, M

    2006-12-01

    Bayesian estimates of disease relative risks is currently the gold standard in disease mapping when the disease is rare and/or when the geographical area is small. Its use has become quite easy with adhoc software. However, the implicit mechanisms of the choices made by the user must be clearly identified. We were interested here in the consequences of the choice of the hyper a priori parameters. We have compared results obtained using various hyper a priori parameters. The consequences of these choices are illustrated through the example of the incidence of bladder cancer among men in the urban area of Grenoble. We show that the risks can appear weak from a statistical point of view but important from an epidemiologic point of view in the presentation of the results.

  5. A gridded version of the US EPA inventory of methane emissions for use as a priori and reference in methane source inversions

    NASA Astrophysics Data System (ADS)

    Maasakkers, J. D.; Jacob, D. J.; Payer Sulprizio, M.; Turner, A. J.; Weitz, M.; Wirth, T. C.; Hight, C.; DeFigueiredo, M.; Desai, M.; Schmeltz, R.; Hockstad, L.; Bloom, A. A.; Bowman, K. W.

    2015-12-01

    The US EPA produces annual estimates of national anthropogenic methane emissions in the Inventory of US Greenhouse Gas Emissions and Sinks (EPA inventory). These are reported to the UN and inform national climate policy. The EPA inventory uses best available information on emitting processes (IPCC Tier 2/3 approaches). However, inversions of atmospheric observations suggest that the inventory could be too low. These inversions rely on crude bottom-up estimates as a priori because the EPA inventory is only available as national totals for most sources. Reliance on an incorrect a priori greatly limits the value of inversions for testing and improving the EPA inventory as allocation of methane emissions by source types and regions can vary greatly between different bottom-up inventories. Here we present a 0.1° × 0.1° monthly version of the EPA inventory to serve as a priori for inversions of atmospheric data and to interpret inversion results. We use a wide range of process-specific information to allocate emissions, incorporating facility-level data reported through the EPA Greenhouse Gas Reporting Program where possible. As an illustration of used gridding strategies, gridded livestock emissions are based on EPA emission data per state, USDA livestock inventories per county, and USDA weighted land cover maps for sub-county localization. Allocation of emissions from natural gas systems incorporates monthly well-level production data, EIA compressor station and processing plant databases, and information on pipelines. Our gridded EPA inventory shows large differences in spatial emission patterns compared to the EDGAR v4.2 global inventory used as a priori in previous inverse studies. Our work greatly enhances the potential of future inversions to test and improve the EPA inventory and more broadly to improve understanding of the factors controlling methane concentrations and their trends. Preliminary inversion results using GOSAT satellite data will be presented.

  6. Seismicity patterns along the Ecuadorian subduction zone: new constraints from earthquake location in a 3-D a priori velocity model

    NASA Astrophysics Data System (ADS)

    Font, Yvonne; Segovia, Monica; Vaca, Sandro; Theunissen, Thomas

    2013-04-01

    To improve earthquake location, we create a 3-D a priori P-wave velocity model (3-DVM) that approximates the large velocity variations of the Ecuadorian subduction system. The 3-DVM is constructed from the integration of geophysical and geological data that depend on the structural geometry and velocity properties of the crust and the upper mantle. In addition, specific station selection is carried out to compensate for the high station density on the Andean Chain. 3-D synthetic experiments are then designed to evaluate the network capacity to recover the event position using only P arrivals and the MAXI technique. Three synthetic earthquake location experiments are proposed: (1) noise-free and (2) noisy arrivals used in the 3-DVM, and (3) noise-free arrivals used in a 1-DVM. Synthetic results indicate that, under the best conditions (exact arrival data set and 3-DVM), the spatiotemporal configuration of the Ecuadorian network can accurately locate 70 per cent of events in the frontal part of the subduction zone (average azimuthal gap is 289° ± 44°). Noisy P arrivals (up to ± 0.3 s) can accurately located 50 per cent of earthquakes. Processing earthquake location within a 1-DVM almost never allows accurate hypocentre position for offshore earthquakes (15 per cent), which highlights the role of using a 3-DVM in subduction zone. For the application to real data, the seismicity distribution from the 3-D-MAXI catalogue is also compared to the determinations obtained in a 1-D-layered VM. In addition to good-quality location uncertainties, the clustering and the depth distribution confirm the 3-D-MAXI catalogue reliability. The pattern of the seismicity distribution (a 13 yr record during the inter-seismic period of the seismic cycle) is compared to the pattern of rupture zone and asperity of the Mw = 7.9 1942 and the Mw = 7.7 1958 events (the Mw = 8.8 1906 asperity patch is not defined). We observe that the nucleation of 1942, 1958 and 1906 events coincides with

  7. Knowledge representation system for assembly using robots

    NASA Technical Reports Server (NTRS)

    Jain, A.; Donath, M.

    1987-01-01

    Assembly robots combine the benefits of speed and accuracy with the capability of adaptation to changes in the work environment. However, an impediment to the use of robots is the complexity of the man-machine interface. This interface can be improved by providing a means of using a priori-knowledge and reasoning capabilities for controlling and monitoring the tasks performed by robots. Robots ought to be able to perform complex assembly tasks with the help of only supervisory guidance from human operators. For such supervisory quidance, it is important to express the commands in terms of the effects desired, rather than in terms of the motion the robot must undertake in order to achieve these effects. A suitable knowledge representation can facilitate the conversion of task level descriptions into explicit instructions to the robot. Such a system would use symbolic relationships describing the a priori information about the robot, its environment, and the tasks specified by the operator to generate the commands for the robot.

  8. Procedural knowledge

    SciTech Connect

    Georgeff, M.P.; Lansky, A.L.

    1986-10-01

    Much of commonsense knowledge about the real world is in the form of procedures or sequences of actions for achieving particular goals. In this paper, a formalism is presented for representing such knowledge using the notion of process. A declarative semantics for the representation is given, which allows a user to state facts about the effects of doing things in the problem domain of interest. An operational semantics is also provided, which shows how this knowledge can be used to achieve particular goals or to form intentions regarding their achievement. Given both semantics, our formalism additionally serves as an executable specification language suitable for constructing complex systems. A system based on this formalism is described, and examples involving control of an autonomous robot and fault diagnosis for NASA's space shuttle are provided.

  9. Working Knowledge.

    ERIC Educational Resources Information Center

    Beckett, David

    The resurgence of "lifelong learning" has renewed consideration of the nature of "working knowledge." Lifelong learning has many aspects, including construction and distribution of individuals' very self-hood, educational institutions' role in capturing informal experiences, and the juggling required between family and work-based responsibilities.…

  10. Stolen Knowledge.

    ERIC Educational Resources Information Center

    Brown, John Seely; Duguid, Paul

    1993-01-01

    Discusses situated learning in the workplace and in the classroom. Topics addressed include operationalization versus legitimization of educational theories; instruction versus learning; explicit versus implicit instruction and knowledge; individual versus social context; systems narrowly construed versus systems broadly construed; and legitimate…

  11. Knowledge River

    ERIC Educational Resources Information Center

    Berry, John N., III

    2004-01-01

    One of the most promising of all diversity initiatives in library and information studies (LIS) is Knowledge River (KR) at the School of Information Resources and Library Science (SIRLS) at the University of Arizona, Tucson. Created and directed by Patricia A. Tarin, the program has already recruited some 42 students into the profession, 20 of…

  12. IRF6 Screening of Syndromic and a priori Non-Syndromic Cleft Lip and Palate Patients: Identification of a New Type of Minor VWS Sign.

    PubMed

    Desmyter, L; Ghassibe, M; Revencu, N; Boute, O; Lees, M; François, G; Verellen-Dumoulin, C; Sznajer, Y; Moncla, A; Benateau, H; Claes, K; Devriendt, K; Mathieu, M; Van Maldergem, L; Addor, M-C; Drouin-Garraud, V; Mortier, G; Bouma, M; Dieux-Coeslier, A; Genevieve, D; Goldenberg, A; Gozu, A; Makrythanasis, P; McEntagart, U; Sanchez, A; Vilain, C; Vermeer, S; Connell, F; Verheij, J; Manouvrier, S; Pierquin, G; Odent, S; Holder-Espinasse, M; Vincent-Delorme, C; Gillerot, Y; Vanwijck, R; Bayet, B; Vikkula, M

    2010-01-01

    Van der Woude syndrome (VWS), caused by dominant IRF6 mutation, is the most common cleft syndrome. In 15% of the patients, lip pits are absent and the phenotype mimics isolated clefts. Therefore, we hypothesized that some of the families classified as having non-syndromic inherited cleft lip and palate could have an IRF6 mutation. We screened in total 170 patients with cleft lip with or without cleft palate (CL/P): 75 were syndromic and 95 were a priori part of multiplex non-syndromic families. A mutation was identified in 62.7 and 3.3% of the patients, respectively. In one of the 95 a priori non-syndromic families with an autosomal dominant inheritance (family B), new insights into the family history revealed the presence, at birth, of lower lip pits in two members and the diagnosis was revised as VWS. A novel lower lip sign was observed in one individual in this family. Interestingly, a similar lower lip sign was also observed in one individual from a 2nd family (family A). This consists of 2 nodules below the lower lip on the external side. In a 3rd multiplex family (family C), a de novo mutation was identified in an a priori non-syndromic CL/P patient. Re-examination after mutation screening revealed the presence of a tiny pit-looking lesion on the inner side of the lower lip leading to a revised diagnosis of VWS. On the basis of this data, we conclude that IRF6 should be screened when any doubt rises about the normality of the lower lip and also if a non-syndromic cleft lip patient (with or without cleft palate) has a family history suggestive of autosomal dominant inheritance. PMID:21045959

  13. Prediction of extinction and reignition in nonpremixed turbulent flames using a flamelet/progress variable model. 1. A priori study and presumed PDF closure

    SciTech Connect

    Ihme, Matthias; Pitsch, Heinz

    2008-10-15

    Previously conducted studies of the flamelet/progress variable model for the prediction of nonpremixed turbulent combustion processes identified two areas for model improvements: the modeling of the presumed probability density function (PDF) for the reaction progress parameter and the consideration of unsteady effects [Ihme et al., Proc. Combust. Inst. 30 (2005) 793]. These effects are of particular importance during local flame extinction and subsequent reignition. Here, the models for the presumed PDFs for conserved and reactive scalars are re-examined and a statistically most likely distribution (SMLD) is employed and tested in a priori studies using direct numerical simulation (DNS) data and experimental results from the Sandia flame series. In the first part of the paper, the SMLD model is employed for a reactive scalar distribution. Modeling aspects of the a priori PDF, accounting for the bias in composition space, are discussed. The convergence of the SMLD with increasing number of enforced moments is demonstrated. It is concluded that information about more than two moments is beneficial to accurately represent the reactive scalar distribution in turbulent flames with strong extinction and reignition. In addition to the reactive scalar analysis, the potential of the SMLD for the representation of conserved scalar distributions is also analyzed. In the a priori study using DNS data it is found that the conventionally employed beta distribution provides a better representation for the scalar distribution. This is attributed to the fact that the beta-PDF implicitly enforces higher moment information that is in excellent agreement with the DNS data. However, the SMLD outperforms the beta distribution in free shear flow applications, which are typically characterized by strongly skewed scalar distributions, in the case where higher moment information can be enforced. (author)

  14. IRF6 Screening of Syndromic and a priori Non-Syndromic Cleft Lip and Palate Patients: Identification of a New Type of Minor VWS Sign

    PubMed Central

    Desmyter, L.; Ghassibe, M.; Revencu, N.; Boute, O.; Lees, M.; François, G.; Verellen-Dumoulin, C.; Sznajer, Y.; Moncla, A.; Benateau, H.; Claes, K.; Devriendt, K.; Mathieu, M.; Van Maldergem, L.; Addor, M.-C.; Drouin-Garraud, V.; Mortier, G.; Bouma, M.; Dieux-Coeslier, A.; Genevieve, D.; Goldenberg, A.; Gozu, A.; Makrythanasis, P.; McEntagart, U.; Sanchez, A.; Vilain, C.; Vermeer, S.; Connell, F.; Verheij, J.; Manouvrier, S.; Pierquin, G.; Odent, S.; Holder-Espinasse, M.; Vincent-Delorme, C.; Gillerot, Y.; Vanwijck, R.; Bayet, B.; Vikkula, M.

    2010-01-01

    Van der Woude syndrome (VWS), caused by dominant IRF6 mutation, is the most common cleft syndrome. In 15% of the patients, lip pits are absent and the phenotype mimics isolated clefts. Therefore, we hypothesized that some of the families classified as having non-syndromic inherited cleft lip and palate could have an IRF6 mutation. We screened in total 170 patients with cleft lip with or without cleft palate (CL/P): 75 were syndromic and 95 were a priori part of multiplex non-syndromic families. A mutation was identified in 62.7 and 3.3% of the patients, respectively. In one of the 95 a priori non-syndromic families with an autosomal dominant inheritance (family B), new insights into the family history revealed the presence, at birth, of lower lip pits in two members and the diagnosis was revised as VWS. A novel lower lip sign was observed in one individual in this family. Interestingly, a similar lower lip sign was also observed in one individual from a 2nd family (family A). This consists of 2 nodules below the lower lip on the external side. In a 3rd multiplex family (family C), a de novo mutation was identified in an a priori non-syndromic CL/P patient. Re-examination after mutation screening revealed the presence of a tiny pit-looking lesion on the inner side of the lower lip leading to a revised diagnosis of VWS. On the basis of this data, we conclude that IRF6 should be screened when any doubt rises about the normality of the lower lip and also if a non-syndromic cleft lip patient (with or without cleft palate) has a family history suggestive of autosomal dominant inheritance. PMID:21045959

  15. Developing framework to constrain the geometry of the seismic rupture plane on subduction interfaces a priori - A probabilistic approach

    USGS Publications Warehouse

    Hayes, G.P.; Wald, D.J.

    2009-01-01

    A key step in many earthquake source inversions requires knowledge of the geometry of the fault surface on which the earthquake occurred. Our knowledge of this surface is often uncertain, however, and as a result fault geometry misinterpretation can map into significant error in the final temporal and spatial slip patterns of these inversions. Relying solely on an initial hypocentre and CMT mechanism can be problematic when establishing rupture characteristics needed for rapid tsunami and ground shaking estimates. Here, we attempt to improve the quality of fast finite-fault inversion results by combining several independent and complementary data sets to more accurately constrain the geometry of the seismic rupture plane of subducting slabs. Unlike previous analyses aimed at defining the general form of the plate interface, we require mechanisms and locations of the seismicity considered in our inversions to be consistent with their occurrence on the plate interface, by limiting events to those with well-constrained depths and with CMT solutions indicative of shallow-dip thrust faulting. We construct probability density functions about each location based on formal assumptions of their depth uncertainty and use these constraints to solve for the ‘most-likely’ fault plane. Examples are shown for the trench in the source region of the Mw 8.6 Southern Sumatra earthquake of March 2005, and for the Northern Chile Trench in the source region of the November 2007 Antofagasta earthquake. We also show examples using only the historic catalogues in regions without recent great earthquakes, such as the Japan and Kamchatka Trenches. In most cases, this method produces a fault plane that is more consistent with all of the data available than is the plane implied by the initial hypocentre and CMT mechanism. Using the aggregated data sets, we have developed an algorithm to rapidly determine more accurate initial fault plane geometries for source inversions of future

  16. Knowledge Grid Based Knowledge Supply Model

    NASA Astrophysics Data System (ADS)

    Zhen, Lu; Jiang, Zuhua

    This paper is mainly concerned with a knowledge supply model in the environment of knowledge grid to realize the knowledge sharing globally. By integrating members, roles, and tasks in a workflow, three sorts of knowledge demands are gained. Based on knowledge demand information, a knowledge supply model is proposed for the purpose of delivering the right knowledge to the right persons. Knowledge grid, acting as a platform for implementing the knowledge supply, is also discussed mainly from the view of knowledge space. A prototype system of knowledge supply has been implemented and applied in product development.

  17. Cell wall composition profiling of parasitic giant dodder (Cuscuta reflexa) and its hosts: a priori differences and induced changes.

    PubMed

    Johnsen, Hanne R; Striberny, Bernd; Olsen, Stian; Vidal-Melgosa, Silvia; Fangel, Jonatan U; Willats, William G T; Rose, Jocelyn K C; Krause, Kirsten

    2015-08-01

    Host plant penetration is the gateway to survival for holoparasitic Cuscuta and requires host cell wall degradation. Compositional differences of cell walls may explain why some hosts are amenable to such degradation while others can resist infection. Antibody-based techniques for comprehensive profiling of cell wall epitopes and cell wall-modifying enzymes were applied to several susceptible hosts and a resistant host of Cuscuta reflexa and to the parasite itself. Infected tissue of Pelargonium zonale contained high concentrations of de-esterified homogalacturonans in the cell walls, particularly adjacent to the parasite's haustoria. High pectinolytic activity in haustorial extracts and high expression levels of pectate lyase genes suggest that the parasite contributes directly to wall remodeling. Mannan and xylan concentrations were low in P. zonale and in five susceptible tomato introgression lines, but high in the resistant Solanum lycopersicum cv M82, and in C. reflexa itself. Knowledge of the composition of resistant host cell walls and the parasite's own cell walls is useful in developing strategies to prevent infection by parasitic plants. PMID:25808919

  18. Cell wall composition profiling of parasitic giant dodder (Cuscuta reflexa) and its hosts: a priori differences and induced changes.

    PubMed

    Johnsen, Hanne R; Striberny, Bernd; Olsen, Stian; Vidal-Melgosa, Silvia; Fangel, Jonatan U; Willats, William G T; Rose, Jocelyn K C; Krause, Kirsten

    2015-08-01

    Host plant penetration is the gateway to survival for holoparasitic Cuscuta and requires host cell wall degradation. Compositional differences of cell walls may explain why some hosts are amenable to such degradation while others can resist infection. Antibody-based techniques for comprehensive profiling of cell wall epitopes and cell wall-modifying enzymes were applied to several susceptible hosts and a resistant host of Cuscuta reflexa and to the parasite itself. Infected tissue of Pelargonium zonale contained high concentrations of de-esterified homogalacturonans in the cell walls, particularly adjacent to the parasite's haustoria. High pectinolytic activity in haustorial extracts and high expression levels of pectate lyase genes suggest that the parasite contributes directly to wall remodeling. Mannan and xylan concentrations were low in P. zonale and in five susceptible tomato introgression lines, but high in the resistant Solanum lycopersicum cv M82, and in C. reflexa itself. Knowledge of the composition of resistant host cell walls and the parasite's own cell walls is useful in developing strategies to prevent infection by parasitic plants.

  19. The utility of evolutionary psychology for generating novel, specific, and a priori hypotheses about psychopathology in a parsimonious fashion: reply to Hankin (2013).

    PubMed

    Martel, Michelle M

    2013-11-01

    The comment of Hankin (2013) elucidated several strengths of the target article (Martel, 2013), in which I reviewed extant literature on sex differences in common childhood-onset externalizing and adolescent-onset internalizing disorders. Hankin also raised important questions about the utility of evolutionary psychological principles, particularly those of sexual selection, to generate novel, specific, and a priori hypotheses about sex differences in common forms of psychopathology. I acknowledge these points, and I contend that a metatheory derived from evolutionary psychological principles is quite useful in 2 ways. First, it provides a parsimonious framework for understanding sex differences across multiple levels of analysis (e.g., hormones, gene by environment interactions, dispositional traits, behavioral and emotional symptoms). Second, it provides a framework for the generation of novel, specific, and a priori hypotheses such as those elucidated in my review. Existing disorder-specific theories cannot do as well in serving these functions. The pursuit of metatheories that both organize existing findings and generate novel cross-disorder hypotheses is crucial for ongoing progress in psychological science. Evolutionary psychology provides one such fruitful metatheory.

  20. Knowledge integration at the center of genomic medicine.

    PubMed

    Khoury, Muin J; Gwinn, Marta; Dotson, W David; Schully, Sheri D

    2012-07-01

    Three articles in this issue of Genetics in Medicine describe examples of "knowledge integration," involving methods for generating and synthesizing rapidly emerging information on health-related genomic technologies and engaging stakeholders around the evidence. Knowledge integration, the central process in translating genomic research, involves three closely related, iterative components: knowledge management, knowledge synthesis, and knowledge translation. Knowledge management is the ongoing process of obtaining, organizing, and displaying evolving evidence. For example, horizon scanning and "infoveillance" use emerging technologies to scan databases, registries, publications, and cyberspace for information on genomic applications. Knowledge synthesis is the process of conducting systematic reviews using a priori rules of evidence. For example, methods including meta-analysis, decision analysis, and modeling can be used to combine information from basic, clinical, and population research. Knowledge translation refers to stakeholder engagement and brokering to influence policy, guidelines and recommendations, as well as the research agenda to close knowledge gaps. The ultrarapid production of information requires adequate public and private resources for knowledge integration to support the evidence-based development of genomic medicine. PMID:22555656

  1. Constructing Knowledge

    NASA Astrophysics Data System (ADS)

    Blanton, Patricia

    2003-02-01

    Schools are expected to lay the foundation upon which knowledge can be built and equip students with the tools necessary to accomplish the construction. The role of the teacher in this building process is crucial to the type of structure the student can build. Whether you call it constructivism, discussion teaching, project-based learning, inquiry learning, or any of the other names given to the instructional strategies being suggested by education researchers, the key is getting students to become active participants in the process. While some students may be able to learn from eloquently delivered lectures and dynamic demonstrations, the majority of students cannot effectively retain and apply ideas communicated in this manner.

  2. Nursing knowledge development: where to from here?

    PubMed

    Geanellos, R

    1997-01-01

    Issues related to nursing epistemology are reviewed. This review includes discussion of logical positivism, empiricism and interpretive-emancipatory paradigms, their influence on the construction of knowledge and on its methods of derivation and verification. Changes in the conceptualisation of science are explored, and scientific realism is introduced as a contemporary philosophy of science through which the discipline of nursing can develop. Questions surrounding the development of nursing knowledge are examined; for example, the implications of theory construction through the use of borrowed theory and the acceptance of external philosophies of science. Argument is offered for and against borrowing external theories and philosophies, or developing theories and philosophies from research into nursing practice. The relationship between research method and the phenomenon under study is discussed. The need to develop a broad base of nursing knowledge through diverse research methods is addressed. Links are created between the development of non-practice-based theories, the derivation of knowledge a priori, and the poor use of nursing theory and research in nursing practice. It is suggested that nursing science should develop through a dialectic between nursing research and practice, and that such a dialectic could assist the forward movement of nursing through the evolution of meaningful nursing theories and philosophies of nursing science. PMID:9272005

  3. Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures

    NASA Astrophysics Data System (ADS)

    Navari, M.; Margulis, S. A.; Bateni, S. M.; Tedesco, M.; Alexander, P.; Fettweis, X.

    2016-01-01

    The Greenland ice sheet (GrIS) has been the focus of climate studies due to its considerable impact on sea level rise. Accurate estimates of surface mass fluxes would contribute to understanding the cause of its recent changes and would help to better estimate the past, current and future contribution of the GrIS to sea level rise. Though the estimates of the GrIS surface mass fluxes have improved significantly over the last decade, there is still considerable disparity between the results from different methodologies (e.g., Rae et al., 2012; Vernon et al., 2013). The data assimilation approach can merge information from different methodologies in a consistent way to improve the GrIS surface mass fluxes. In this study, an ensemble batch smoother data assimilation approach was developed to assess the feasibility of generating a reanalysis estimate of the GrIS surface mass fluxes via integrating remotely sensed ice surface temperature measurements with a regional climate model (a priori) estimate. The performance of the proposed methodology for generating an improved posterior estimate was investigated within an observing system simulation experiment (OSSE) framework using synthetically generated ice surface temperature measurements. The results showed that assimilation of ice surface temperature time series were able to overcome uncertainties in near-surface meteorological forcing variables that drive the GrIS surface processes. Our findings show that the proposed methodology is able to generate posterior reanalysis estimates of the surface mass fluxes that are in good agreement with the synthetic true estimates. The results also showed that the proposed data assimilation framework improves the root-mean-square error of the posterior estimates of runoff, sublimation/evaporation, surface condensation, and surface mass loss fluxes by 61, 64, 76, and 62 %, respectively, over the nominal a priori climate model estimates.

  4. CardioKnowledge: A Knowledge Management Environment

    PubMed Central

    Montoni, Mariella A.; Galotta, Catia; Rocha, Ana Regina; Rabelo, Álvaro; Rabelo, Lisia

    2003-01-01

    Knowledge management supports decision-making by capturing and analyzing key performance indicators, providing visibility into the effectiveness of the business model, and by concentrating collaborative work and employee knowledge reviews on critical business problems. CardioKnowledge is a knowledge management environment based on the business and process requirements of a health care organization in Cardiology. CardioKnowledge supports organizational processes in order to facilitate the communication and exchange of knowledge among the cardiologists, medical students and other employees. PMID:14728445

  5. Knowledge-based segmentation of SAR data with learned priors.

    PubMed

    Haker, S; Sapiro, G; Tannenbaum, A

    2000-01-01

    An approach for the segmentation of still and video synthetic aperture radar (SAR) images is described. A priori knowledge about the objects present in the image, e.g., target, shadow and background terrain, is introduced via Bayes' rule. Posterior probabilities obtained in this way are then anisotropically smoothed, and the image segmentation is obtained via MAP classifications of the smoothed data. When segmenting sequences of images, the smoothed posterior probabilities of past frames are used to learn the prior distributions in the succeeding frame. We show with examples from public data sets that this method provides an efficient and fast technique for addressing the segmentation of SAR data. PMID:18255401

  6. Gene Network Reconstruction by Integration of Prior Biological Knowledge.

    PubMed

    Li, Yupeng; Jackson, Scott A

    2015-03-30

    With the development of high-throughput genomic technologies, large, genome-wide datasets have been collected, and the integration of these datasets should provide large-scale, multidimensional, and insightful views of biological systems. We developed a method for gene association network construction based on gene expression data that integrate a variety of biological resources. Assuming gene expression data are from a multivariate Gaussian distribution, a graphical lasso (glasso) algorithm is able to estimate the sparse inverse covariance matrix by a lasso (L1) penalty. The inverse covariance matrix can be seen as direct correlation between gene pairs in the gene association network. In our work, instead of using a single penalty, different penalty values were applied for gene pairs based on a priori knowledge as to whether the two genes should be connected. The a priori information can be calculated or retrieved from other biological data, e.g., Gene Ontology similarity, protein-protein interaction, gene regulatory network. By incorporating prior knowledge, the weighted graphical lasso (wglasso) outperforms the original glasso both on simulations and on data from Arabidopsis. Simulation studies show that even when some prior knowledge is not correct, the overall quality of the wglasso network was still greater than when not incorporating that information, e.g., glasso.

  7. Star Identification Without Attitude Knowledge: Testing with X-Ray Timing Experiment Data

    NASA Technical Reports Server (NTRS)

    Ketchum, Eleanor

    1997-01-01

    As the budget for the scientific exploration of space shrinks, the need for more autonomous spacecraft increases. For a spacecraft with a star tracker, the ability to determinate attitude from a lost in space state autonomously requires the capability to identify the stars in the field of view of the tracker. Although there have been efforts to produce autonomous star trackers which perform this function internally, many programs cannot afford these sensors. The author previously presented a method for identifying stars without a priori attitude knowledge specifically targeted for onboard computers as it minimizes the necessary computer storage. The method has previously been tested with simulated data. This paper provides results of star identification without a priori attitude knowledge using flight data from two 8 by 8 degree charge coupled device star trackers onboard the X-Ray Timing Experiment.

  8. Gathering Knowledge for Your Knowledge Management System.

    ERIC Educational Resources Information Center

    Cowley-Durst, Barbara

    1999-01-01

    Discusses knowledge management that seeks to minimize information overload in order to enhance performance. Highlights include the differences between data, information, and knowledge; the relationship between learning, knowledge, and performance; the use of focus groups; documenting results; and knowledge classification. (LRW)

  9. Equivalence testing of traditional and simulated clinical experiences: undergraduate nursing students' knowledge acquisition.

    PubMed

    Schlairet, Maura C; Pollock, Jane W

    2010-01-01

    Although simulated clinical experience is being used increasingly in nursing education, vital evidence related to knowledge acquisition associated with simulated clinical experience does not exist. This intervention study used a 2×2 crossover design and equivalence testing to explore the effects of simulated clinical experiences on undergraduate students' (n = 74) knowledge acquisition in a fundamentals of nursing course. Following random assignment, students participated in laboratory-based simulated clinical experiences with high-fidelity human patient simulators and traditional clinical experiences and completed knowledge pretests and posttests. Analysis identified significant knowledge gain associated with both simulated and traditional clinical experiences, with the groups' knowledge scores being statistically significantly equivalent. A priori equivalence bounds around the difference between the groups were set at ± 5 points. Simulated clinical experience was found to be as effective as traditional clinical experience in promoting students' knowledge acquisition.

  10. Advancing techniques to constrain the geometry of the seismic rupture plane on subduction interfaces a priori: Higher-order functional fits

    USGS Publications Warehouse

    Hayes, G.P.; Wald, D.J.; Keranen, K.

    2009-01-01

    Ongoing developments in earthquake source inversions incorporate nonplanar fault geometries as inputs to the inversion process, improving previous approaches that relied solely on planar fault surfaces. This evolution motivates advancing the existing framework for constraining fault geometry, particularly in subduction zones where plate boundary surfaces that host highly hazardous earthquakes are clearly nonplanar. Here, we improve upon the existing framework for the constraint of the seismic rupture plane of subduction interfaces by incorporating active seismic and seafloor sediment thickness data with existing independent data sets and inverting for the most probable nonplanar subduction geometry. Constraining the rupture interface a priori with independent geological and seismological information reduces the uncertainty in the derived earthquake source inversion parameters over models that rely on simpler assumptions, such as the moment tensor inferred fault plane. Examples are shown for a number of wellconstrained global locations. We expand the coverage of previous analyses to a more uniform global data set and show that even in areas of sparse data this approach is able to accurately constrain the approximate subduction geometry, particularly when aided with the addition of data from local active seismic surveys. In addition, we show an example of the integration of many two-dimensional profiles into a threedimensional surface for the Sunda subduction zone and introduce the development of a new global threedimensional subduction interface model: Slab1.0. ?? 2009 by the American Geophysical Union.

  11. Knowledge management: organizing nursing care knowledge.

    PubMed

    Anderson, Jane A; Willson, Pamela

    2009-01-01

    Almost everything we do in nursing is based on our knowledge. In 1984, Benner (From Novice to Expert: Excellence and Power in Clinical Nursing Practice. Menlo Park, CA: Addison-Wesley; 1984) described nursing knowledge as the culmination of practical experience and evidence from research, which over time becomes the "know-how" of clinical experience. This "know-how" knowledge asset is dynamic and initially develops in the novice critical care nurse, expands within competent and proficient nurses, and is actualized in the expert intensive care nurse. Collectively, practical "know-how" and investigational (evidence-based) knowledge culminate into the "knowledge of caring" that defines the profession of nursing. The purpose of this article is to examine the concept of knowledge management as a framework for identifying, organizing, analyzing, and translating nursing knowledge into daily practice. Knowledge management is described in a model case and implemented in a nursing research project.

  12. Knowledge Management, Codification and Tacit Knowledge

    ERIC Educational Resources Information Center

    Kimble, Chris

    2013-01-01

    Introduction: This article returns to a theme addressed in Vol. 8(1) October 2002 of the journal: knowledge management and the problem of managing tacit knowledge. Method: The article is primarily a review and analysis of the literature associated with the management of knowledge. In particular, it focuses on the works of a group of economists who…

  13. Doctoring the Knowledge Worker

    ERIC Educational Resources Information Center

    Tennant, Mark

    2004-01-01

    In this paper I examine the impact of the new 'knowledge economy' on contemporary doctoral education. I argue that the knowledge economy promotes a view of knowledge and knowledge workers that fundamentally challenges the idea of a university as a community of autonomous scholars transmitting and adding to society's 'stock of knowledge'. The paper…

  14. A priori and a posteriori investigations for developing large eddy simulations of multi-species turbulent mixing under high-pressure conditions

    SciTech Connect

    Borghesi, Giulio; Bellan, Josette

    2015-03-15

    A Direct Numerical Simulation (DNS) database was created representing mixing of species under high-pressure conditions. The configuration considered is that of a temporally evolving mixing layer. The database was examined and analyzed for the purpose of modeling some of the unclosed terms that appear in the Large Eddy Simulation (LES) equations. Several metrics are used to understand the LES modeling requirements. First, a statistical analysis of the DNS-database large-scale flow structures was performed to provide a metric for probing the accuracy of the proposed LES models as the flow fields obtained from accurate LESs should contain structures of morphology statistically similar to those observed in the filtered-and-coarsened DNS (FC-DNS) fields. To characterize the morphology of the large-scales structures, the Minkowski functionals of the iso-surfaces were evaluated for two different fields: the second-invariant of the rate of deformation tensor and the irreversible entropy production rate. To remove the presence of the small flow scales, both of these fields were computed using the FC-DNS solutions. It was found that the large-scale structures of the irreversible entropy production rate exhibit higher morphological complexity than those of the second invariant of the rate of deformation tensor, indicating that the burden of modeling will be on recovering the thermodynamic fields. Second, to evaluate the physical effects which must be modeled at the subfilter scale, an a priori analysis was conducted. This a priori analysis, conducted in the coarse-grid LES regime, revealed that standard closures for the filtered pressure, the filtered heat flux, and the filtered species mass fluxes, in which a filtered function of a variable is equal to the function of the filtered variable, may no longer be valid for the high-pressure flows considered in this study. The terms requiring modeling are the filtered pressure, the filtered heat flux, the filtered pressure work

  15. A general method for sifting linguistic knowledge from structured terminologies.

    PubMed

    Grabar, N; Zweigenbaum, P

    2000-01-01

    Morphological knowledge is useful for medical language processing, information retrieval and terminology or ontology development. We show how a large volume of morphological associations between words can be learnt from existing medical terminologies by taking advantage of the semantic relations already encoded between terms in these terminologies: synonymy, hierarchy and transversal relations. The method proposed relies on no a priori linguistic knowledge. Since it can work with different relations between terms, it can be applied to any structured terminology. Tested on SNOMED and ICD in French and English, it proves to identify fairly reliable morphological relations (precision > 90%) with a good coverage (over 88% compared to the UMLS lexical variant generation program). For English words with a stem longer than 3 characters, recall reaches 98.8% for inflection and 94.7% for derivation.

  16. Genetic basis of delay discounting in frequent gamblers: examination of a priori candidates and exploration of a panel of dopamine-related loci

    PubMed Central

    Gray, Joshua C; MacKillop, James

    2014-01-01

    Introduction Delay discounting is a behavioral economic index of impulsivity that reflects preferences for small immediate rewards relative to larger delayed rewards. It has been consistently linked to pathological gambling and other forms of addictive behavior, and has been proposed to be a behavioral characteristic that may link genetic variation and risk of developing addictive disorders (i.e., an endophenotype). Studies to date have revealed significant associations with polymorphisms associated with dopamine neurotransmission. The current study examined associations between delay discounting and both previously linked variants and a novel panel of dopamine-related variants in a sample of frequent gamblers. Methods Participants were 175 weekly gamblers of European ancestry who completed the Monetary Choice Questionnaire to assess delay discounting preferences and provided a DNA via saliva. Results In a priori tests, two loci previously associated with delayed reward discounting (rs1800497 and rs4680) were not replicated, however, the long form of DRD4 VNTR was significantly associated with lower discounting of delayed rewards. Exploratory analysis of the dopamine-related panel revealed 11 additional significant associations in genes associated with dopamine synthesis, breakdown, reuptake, and receptor function (DRD3, SLC6A3, DDC, DBH, and SLC18A2). An aggregate genetic risk score from the nominally significant loci accounted for 17% of the variance in discounting. Mediational analyses largely supported the presence of indirect effects between the associated loci, delay discounting, and pathological gambling severity. Conclusions These findings do not replicate previously reported associations but identify several novel candidates and provide preliminary support for a systems biology approach to understand the genetic basis of delay discounting. PMID:25365808

  17. Overview of Knowledge Management.

    ERIC Educational Resources Information Center

    Serban, Andreea M.; Luan, Jing

    2002-01-01

    Defines knowledge management, its components, processes, and outcomes. Addresses the importance of knowledge management for higher education in general and for institutional research in particular. (EV)

  18. Knowledge Repository for Fmea Related Knowledge

    NASA Astrophysics Data System (ADS)

    Cândea, Gabriela Simona; Kifor, Claudiu Vasile; Cândea, Ciprian

    2014-11-01

    This paper presents innovative usage of knowledge system into Failure Mode and Effects Analysis (FMEA) process using the ontology to represent the knowledge. Knowledge system is built to serve multi-projects work that nowadays are in place in any manufacturing or services provider, and knowledge must be retained and reused at the company level and not only at project level. The system is following the FMEA methodology and the validation of the concept is compliant with the automotive industry standards published by Automotive Industry Action Group, and not only. Collaboration is assured trough web-based GUI that supports multiple users access at any time

  19. An approach for the long-term 30-m land surface snow-free albedo retrieval from historic Landsat surface reflectance and MODIS-based a priori anisotropy knowledge

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Land surface albedo has been recognized by the Global Terrestrial Observing System (GTOS) as an essential climate variable crucial for accurate modeling and monitoring of the Earth’s radiative budget. While global climate studies can leverage albedo datasets from MODIS, VIIRS, and other coarse-reso...

  20. 3-D multiobservable probabilistic inversion for the compositional and thermal structure of the lithosphere and upper mantle. I: a priori petrological information and geophysical observables

    NASA Astrophysics Data System (ADS)

    Afonso, J. C.; Fullea, J.; Griffin, W. L.; Yang, Y.; Jones, A. G.; D. Connolly, J. A.; O'Reilly, S. Y.

    2013-05-01

    Traditional inversion techniques applied to the problem of characterizing the thermal and compositional structure of the upper mantle are not well suited to deal with the nonlinearity of the problem, the trade-off between temperature and compositional effects on wave velocities, the nonuniqueness of the compositional space, and the dissimilar sensitivities of physical parameters to temperature and composition. Probabilistic inversions, on the other hand, offer a powerful formalism to cope with all these difficulties, while allowing for an adequate treatment of the intrinsic uncertainties associated with both data and physical theories. This paper presents a detailed analysis of the two most important elements controlling the outputs of probabilistic (Bayesian) inversions for temperature and composition of the Earth's mantle, namely the a priori information on model parameters, ρ(m), and the likelihood function, L(m). The former is mainly controlled by our current understanding of lithosphere and mantle composition, while the latter conveys information on the observed data, their uncertainties, and the physical theories used to relate model parameters to observed data. The benefits of combining specific geophysical datasets (Rayleigh and Love dispersion curves, body wave tomography, magnetotelluric, geothermal, petrological, gravity, elevation, and geoid), and their effects on L(m), are demonstrated by analyzing their individual and combined sensitivities to composition and temperature as well as their observational uncertainties. The dependence of bulk density, electrical conductivity, and seismic velocities to major-element composition is systematically explored using Monte Carlo simulations. We show that the dominant source of uncertainty in the identification of compositional anomalies within the lithosphere is the intrinsic nonuniqueness in compositional space. A general strategy for defining ρ(m) is proposed based on statistical analyses of a large database

  1. Earthquake relocation using a 3D a-priori geological velocity model from the western Alps to Corsica: Implication for seismic hazard

    NASA Astrophysics Data System (ADS)

    Béthoux, Nicole; Theunissen, Thomas; Beslier, Marie-Odile; Font, Yvonne; Thouvenot, François; Dessa, Jean-Xavier; Simon, Soazig; Courrioux, Gabriel; Guillen, Antonio

    2016-02-01

    The region between the inner zones of the Alps and Corsica juxtaposes an overthickened crust to an oceanic domain, which makes difficult to ascertain the focal depth of seismic events using routine location codes and average 1D velocity models. The aim of this article is to show that, even with a rather lose monitoring network, accurate routine locations can be achieved by using realistic 3D modelling and advanced location techniques. Previous earthquake tomography studies cover the whole region with spatial resolutions of several tens of kilometres on land, but they fail to resolve the marine domain due to the absence of station coverage and sparse seismicity. To overcome these limitations, we first construct a 3D a-priori P and S velocity model integrating known geophysical and geological information. Significant progress has been achieved in the 3D numerical modelling of complex geological structures by the development of dedicated softwares (e.g. 3D GeoModeller), capable at once of elaborating a 3D structural model from geological and geophysical constraints and, possibly, of refining it by inversion processes (Calcagno et al., 2008). Then, we build an arrival-time catalogue of 1500 events recorded from 2000 to 2011. Hypocentres are then located in this model using a numerical code based on the maximum intersection method (Font et al., 2004), updated by Theunissen et al. (2012), as well as another 3D location technique, the NonLinLoc software (Lomax and Curtis, 2001). The reduction of arrival-time residuals and uncertainties (dh, dz) with respect to classical 1D locations demonstrates the improved accuracy allowed by our approach and confirms the coherence of the 3D geological model built and used in this study. Our results are also compared with previous works that benefitted from the installation of dense temporary networks surrounding the studied epicentre area. The resulting 3D location catalogue allows us to improve the regional seismic hazard assessment

  2. Knowledge Engineering and Education.

    ERIC Educational Resources Information Center

    Lopez, Antonio M., Jr.; Donlon, James

    2001-01-01

    Discusses knowledge engineering, computer software, and possible applications in the field of education. Highlights include the distinctions between data, information, and knowledge; knowledge engineering as a subfield of artificial intelligence; knowledge acquisition; data mining; ontology development for subject terms; cognitive apprentices; and…

  3. Knowledge and Its Enemies

    ERIC Educational Resources Information Center

    Kruk, Miroslav

    2007-01-01

    As libraries are the physical manifestations of knowledge, some refection about the concept of knowledge would not be unjustified. In modern societies, knowledge plays such a central role that it requires some effort and imagination to understand on what grounds knowledge could be rejected. Karl Popper wrote about the open society and its enemies.…

  4. Knowledge at Work.

    ERIC Educational Resources Information Center

    Scribner, Sylvia

    1985-01-01

    Activity theory posits that culturally organized actions guide the acquisition and organization of knowledge. This theory was applied to the organization of knowledge within a large milk processing plant. The dairy was found to be organized by social knowledge, yet individuals creatively synthesized several domains of knowledge to organize their…

  5. Knowledge and Policy: Research and Knowledge Transfer

    ERIC Educational Resources Information Center

    Ozga, Jenny

    2007-01-01

    Knowledge transfer (KT) is the emergent "third sector" of higher education activity--alongside research and teaching. Its commercialization origins are evidenced in its concerns to extract maximum value from research, and in the policy push to make research-based knowledge trapped in disciplinary silos more responsive to the growing information…

  6. Tacit Knowledge: Revisiting the Epistemology of Knowledge

    ERIC Educational Resources Information Center

    Lejeune, Michel

    2011-01-01

    The concept of tacit knowledge encompasses all of the intricacy of the different experiences that people acquire over time, and which they utilize and bring to bear in carrying out tasks effectively, reacting to unforeseen circumstances, or innovating. The intuitive nature of tacit knowledge, its particular context, and the difficulty of…

  7. The significance of content knowledge for informal reasoning regarding socioscientific issues: Applying genetics knowledge to genetic engineering issues

    NASA Astrophysics Data System (ADS)

    Sadler, Troy D.; Zeidler, Dana L.

    2005-01-01

    This study focused on informal reasoning regarding socioscientific issues. It sought to explore how content knowledge influenced the negotiation and resolution of contentious and complex scenarios based on genetic engineering. Two hundred and sixty-nine students drawn from undergraduate natural science and nonnatural science courses completed a quantitative test of genetics concepts. Two subsets (n = 15 for each group) of the original sample representing divergent levels of content knowledge participated in individual interviews, during which they articulated positions, rationales, counterpositions, and rebuttals in response to three gene therapy scenarios and three cloning scenarios. A mixed-methods approach was used to examine the effects of content knowledge on the use of informal reasoning patterns and the quality of informal reasoning. Participants from both groups employed the same general patterns of informal reasoning. Data did indicate that differences in content knowledge were related to variations in informal reasoning quality. Participants, with more advanced understandings of genetics, demonstrated fewer instances of reasoning flaws, as defined by a priori criteria, and were more likely to incorporate content knowledge in their reasoning patterns than participants with more naïve understandings of genetics. Implications for instruction and future research are discussed.

  8. Transformation through Knowledge--Knowledge through Transformation.

    ERIC Educational Resources Information Center

    Cadena, Felix

    1991-01-01

    Defines systematization as the process of creating critical knowledge (conscientization), a form of transformative research. Explains how systematization contributes to popular education and presents the form components of the process: identifying limits of research, obtaining data, interpretation, and socialization. (SK)

  9. The Knowledge Explosion

    ERIC Educational Resources Information Center

    Boulding, Kenneth E.

    1970-01-01

    Although human knowledge has expanded rapidly, especially during the scientific era, man is far from the limits of knowledge about the human learning process itself. Greatly increased effort in this area of inquiry is required for survival. (JH)

  10. Documentation and knowledge acquisition

    NASA Technical Reports Server (NTRS)

    Rochowiak, Daniel; Moseley, Warren

    1990-01-01

    Traditional approaches to knowledge acquisition have focused on interviews. An alternative focuses on the documentation associated with a domain. Adopting a documentation approach provides some advantages during familiarization. A knowledge management tool was constructed to gain these advantages.

  11. Knowledge Retrieval Solutions.

    ERIC Educational Resources Information Center

    Khan, Kamran

    1998-01-01

    Excalibur RetrievalWare offers true knowledge retrieval solutions. Its fundamental technologies, Adaptive Pattern Recognition Processing and Semantic Networks, have capabilities for knowledge discovery and knowledge management of full-text, structured and visual information. The software delivers a combination of accuracy, extensibility,…

  12. Seafarers Knowledge Inventory.

    ERIC Educational Resources Information Center

    Hounshell, Paul B.

    This 60-item, multiple-choice Seafarers Knowledge Inventory was developed for use in marine vocational classes (grades 9-12) to measure a student's knowledge of information that "seafarers" should know. Items measure knowledge of various aspects of boating operation, weather, safety, winds, and oceanography. Steps in the construction of the…

  13. The Knowledge of Composition.

    ERIC Educational Resources Information Center

    Landis, Kathleen

    The acquisition of knowledge is concomitant to the writing process and, as such, is a key factor in composition pedagogy. Writing is not just a skill with which the student presents or analyzes knowledge, rather, writing is essential to the very existence of certain kinds of knowledge. Much of writing instruction, however, consists mainly of genre…

  14. Building Background Knowledge

    ERIC Educational Resources Information Center

    Neuman, Susan B.; Kaefer, Tanya; Pinkham, Ashley

    2014-01-01

    This article make a case for the importance of background knowledge in children's comprehension. It suggests that differences in background knowledge may account for differences in understanding text for low- and middle-income children. It then describes strategies for building background knowledge in the age of common core standards.

  15. Knowledge, People, and Risk

    NASA Technical Reports Server (NTRS)

    Rogers, Edward W.

    2008-01-01

    NASA's mandate is to take risks to got into space while applying its best knowledge. NASA's knowledge is the result of scientific insights from research, engineering wisdom from experience, project management skills, safety and team consciousness and institutional support and collaboration. This presentation highlights NASA's organizational knowledge, communication and growth efforts.

  16. Knowledge Discovery in Databases.

    ERIC Educational Resources Information Center

    Norton, M. Jay

    1999-01-01

    Knowledge discovery in databases (KDD) revolves around the investigation and creation of knowledge, processes, algorithms, and mechanisms for retrieving knowledge from data collections. The article is an introductory overview of KDD. The rationale and environment of its development and applications are discussed. Issues related to database design…

  17. Activating Event Knowledge

    ERIC Educational Resources Information Center

    Hare, Mary; Jones, Michael; Thomson, Caroline; Kelly, Sarah; McRae, Ken

    2009-01-01

    An increasing number of results in sentence and discourse processing demonstrate that comprehension relies on rich pragmatic knowledge about real-world events, and that incoming words incrementally activate such knowledge. If so, then even outside of any larger context, nouns should activate knowledge of the generalized events that they denote or…

  18. Mathematics Knowledge for Teaching

    ERIC Educational Resources Information Center

    Mohr, Margaret

    2006-01-01

    Research indicates that U. S. teachers' mathematical knowledge continues to be weak, and there is an inherent difference between the mathematical knowledge needed to be an effective teacher and that needed by a mathematician. In this article, the author discusses pedagogical content knowledge. According to Schulman (1987), pedagogical content…

  19. Managing Knowledge Networks.

    ERIC Educational Resources Information Center

    Contractor, Noshir S.; Monge, Peter R.

    2002-01-01

    Describes a multitheoretical, multilevel (MTML) model to study the management of knowledge networks. Considers theoretical mechanisms for emergence of knowledge networks and presents empirical findings about the emergence of knowledge networks. Concludes that it is necessary to utilize MTML models to integrate multiple social and communication…

  20. The Necessity of Knowledge.

    ERIC Educational Resources Information Center

    Waldrop, M. Mitchell

    1984-01-01

    Discusses various aspects of artificial intelligence, focusing on three interrelated issues: (1) representation of knowledge, which is roughly the machine equivalent of human memory; (2) control and use of knowledge, which corresponds to human abilities in problem solving and planning; and (3) the acquisition of knowledge, or what humans call…

  1. Relationships between Knowledge(s): Implications for "Knowledge Integration"

    ERIC Educational Resources Information Center

    Evering, Brigitte

    2012-01-01

    This article contributes to a critical dialogue about what is currently called "knowledge integration" in environmental research and related educational programming. Indigenous understandings in particular are seen as offering (re)new(ed) ways of thinking that have and will lead to innovative practices for addressing complex environmental issues.…

  2. Knowledge and luck.

    PubMed

    Turri, John; Buckwalter, Wesley; Blouw, Peter

    2015-04-01

    Nearly all success is due to some mix of ability and luck. But some successes we attribute to the agent's ability, whereas others we attribute to luck. To better understand the criteria distinguishing credit from luck, we conducted a series of four studies on knowledge attributions. Knowledge is an achievement that involves reaching the truth. But many factors affecting the truth are beyond our control, and reaching the truth is often partly due to luck. Which sorts of luck are compatible with knowledge? We found that knowledge attributions are highly sensitive to lucky events that change the explanation for why a belief is true. By contrast, knowledge attributions are surprisingly insensitive to lucky events that threaten, but ultimately fail to change the explanation for why a belief is true. These results shed light on our concept of knowledge, help explain apparent inconsistencies in prior work on knowledge attributions, and constitute progress toward a general understanding of the relation between success and luck.

  3. Knowledge Interaction Design for Creative Knowledge Work

    NASA Astrophysics Data System (ADS)

    Nakakoji, Kumiyo; Yamamoto, Yasuhiro

    This paper describes our approach for the development of application systems for creative knowledge work, particularly for early stages of information design tasks. Being a cognitive tool serving as a means of externalization, an application system affects how the user is engaged in the creative process through its visual interaction design. Knowledge interaction design described in this paper is a framework where a set of application systems for different information design domains are developed based on an interaction model, which is designed for a particular model of a thinking process. We have developed two sets of application systems using the knowledge interaction design framework: one includes systems for linear information design, such as writing, movie-editing, and video-analysis; the other includes systems for network information design, such as file-system navigation and hypertext authoring. Our experience shows that the resulting systems encourage users to follow a certain cognitive path through graceful user experience.

  4. Global land cover knowledge database for supporting optical remote sensing satellite intelligent imaging

    NASA Astrophysics Data System (ADS)

    Yan, Ming; Wang, Zhiyong; He, Shaoshuai; Wu, Fei; Yu, Bingyang

    2014-05-01

    With the development of high spatial resolution, high spectral resolution, high radiant resolution and high temporal resolution remote sensing satellites being put into use widely, the adaptive intelligent observation becomes an important function of a new generation of satellite remote sensing system. In order to realize the adaptive intelligent observation function, the first step is to construct the land cover priori knowledge and prejudge the land cover types and its reflectance values of the imaging areas. During the satellite imaging, the setting parameters of optimal camera including the on-orbit CCD integral time, electrical gain and image compression ratio are estimated according to the relationship of apparent radiance with sun illumination condition and land surface reflectance. In the paper, Medium Resolution Imaging Spectrometer (MERIS) bimonthly mean land surface reflectance imagery and 2009 GlobCover map are used to build the global land cover and its reflectance knowledge database. The land cover types include the cropland, urban, grassland, forest, desert, soil, water and ice land cover classes and the mean reflectance values in blue, green, red and near infrared spectral band were calculated in various seasons. The global land cover and reflectance values database has been integrated into the Beijing-1 small satellite mission programming system as the priori landscape knowledge of imaging areas to estimate the proper electrical gain of multispectral camera. After the intelligent observation mode was used in Beijing-1 small satellite, the entropy and SNR of multispectral imagery acquired by the Beijing-1 satellite had been increased greatly.

  5. Knowledge to Manage the Knowledge Society

    ERIC Educational Resources Information Center

    Minati, Gianfranco

    2012-01-01

    Purpose: The purpose of this research is to make evident the inadequateness of concepts and language based on industrial knowledge still used in current practices by managers to cope with problems of the post-industrial societies characterised by non-linear process of emergence and acquisition of properties. The purpose is to allow management to…

  6. A priori and a posteriori dietary patterns at the age of 1 year and body composition at the age of 6 years: the Generation R Study.

    PubMed

    Voortman, Trudy; Leermakers, Elisabeth T M; Franco, Oscar H; Jaddoe, Vincent W V; Moll, Henriette A; Hofman, Albert; van den Hooven, Edith H; Kiefte-de Jong, Jessica C

    2016-08-01

    Dietary patterns have been linked to obesity in adults, however, not much is known about this association in early childhood. We examined associations of different types of dietary patterns in 1-year-old children with body composition at school age in 2026 children participating in a population-based cohort study. Dietary intake at the age of 1 year was assessed with a food-frequency questionnaire. At the children's age of 6 years we measured their body composition with dual-energy X-ray absorptiometry and we calculated body mass index, fat mass index (FMI), and fat-free mass index (FFMI). Three dietary pattern approaches were used: (1) An a priori-defined diet quality score; (2) dietary patterns based on variation in food intake, derived from principal-component-analysis (PCA); and (3) dietary patterns based on variations in FMI and FFMI, derived with reduced-rank-regression (RRR). Both the a priori-defined diet score and a 'Health-conscious' PCA-pattern were characterized by a high intake of fruit, vegetables, grains, and vegetable oils, and, after adjustment for confounders, children with higher adherence to these patterns had a higher FFMI at 6 years [0.19 SD (95 % CI 0.08;0.30) per SD increase in diet score], but had no different FMI. One of the two RRR-patterns was also positively associated with FFMI and was characterized by intake of whole grains, pasta and rice, and vegetable oils. Our results suggest that different a priori- and a posteriori-derived health-conscious dietary patterns in early childhood are associated with a higher fat-free mass, but not with fat mass, in later childhood. PMID:27384175

  7. Interactive knowledge acquisition tools

    NASA Technical Reports Server (NTRS)

    Dudziak, Martin J.; Feinstein, Jerald L.

    1987-01-01

    The problems of designing practical tools to aid the knowledge engineer and general applications used in performing knowledge acquisition tasks are discussed. A particular approach was developed for the class of knowledge acquisition problem characterized by situations where acquisition and transformation of domain expertise are often bottlenecks in systems development. An explanation is given on how the tool and underlying software engineering principles can be extended to provide a flexible set of tools that allow the application specialist to build highly customized knowledge-based applications.

  8. Recording Scientific Knowledge

    SciTech Connect

    Bowker, Geof

    2006-01-09

    The way we record knowledge, and the web of technical, formal, and social practices that surrounds it, inevitably affects the knowledge that we record. The ways we hold knowledge about the past - in handwritten manuscripts, in printed books, in file folders, in databases - shape the kind of stories we tell about that past. In this talk, I look at how over the past two hundred years, information technology has affected the nature and production of scientific knowledge. Further, I explore ways in which the emergent new cyberinfrastructure is changing our relationship to scientific practice.

  9. Automated knowledge generation

    NASA Technical Reports Server (NTRS)

    Myler, Harley R.; Gonzalez, Avelino J.

    1988-01-01

    The general objectives of the NASA/UCF Automated Knowledge Generation Project were the development of an intelligent software system that could access CAD design data bases, interpret them, and generate a diagnostic knowledge base in the form of a system model. The initial area of concentration is in the diagnosis of the process control system using the Knowledge-based Autonomous Test Engineer (KATE) diagnostic system. A secondary objective was the study of general problems of automated knowledge generation. A prototype was developed, based on object-oriented language (Flavors).

  10. The Bridge of Knowledge

    ERIC Educational Resources Information Center

    Dong, Yu Ren

    2014-01-01

    Although many English language learners (ELLs) in the United States have knowledge gaps that make it hard for them to master high-level content and skills, ELLs also often have background knowledge relevant to school learning that teachers neglect to access, this author argues. In the Common Core era, with ELLs being the fastest growing population…

  11. Cultural Knowledge in Translation.

    ERIC Educational Resources Information Center

    Olk, Harald

    2003-01-01

    Describes a study exploring the influence of cultural knowledge on the translation performance of German students of English. Found that the students often lacked sufficient knowledge about British culture to deal with widely-used cultural concepts. Findings suggest that factual reference sources have an important role to play in translation…

  12. Marine Education Knowledge Inventory.

    ERIC Educational Resources Information Center

    Hounshell, Paul B.; Hampton, Carolyn

    This 35-item, multiple-choice Marine Education Knowledge Inventory was developed for use in upper elementary/middle schools to measure a student's knowledge of marine science. Content of test items is drawn from oceanography, ecology, earth science, navigation, and the biological sciences (focusing on marine animals). Steps in the construction of…

  13. Essays on Knowledge Management

    ERIC Educational Resources Information Center

    Xiao, Wenli

    2012-01-01

    For many firms, particularly those operating in high technology and competitive markets, knowledge is cited as the most important strategic asset to the firm, which significantly drives its survival and success (Grant 1996, Webber 1993). Knowledge management (KM) impacts the firm's ability to develop process features that reduce manufacturing…

  14. Public Knowledge Cultures

    ERIC Educational Resources Information Center

    Peters, Michael A.; Besley, A. C.

    2006-01-01

    This article first reviews claims for the knowledge economy in terms of excludability, rivalry, and transparency indicating the way that digital goods behave differently from other commodities. In the second section it discusses the theory of "public knowledge cultures" starting from the primacy of practice based on Marx, Wittgenstein and…

  15. Organizational Knowledge Management Structure

    ERIC Educational Resources Information Center

    Walczak, Steven

    2005-01-01

    Purpose: To propose and evaluate a novel management structure that encourages knowledge sharing across an organization. Design/methodology/approach: The extant literature on the impact of organizational culture and its link to management structure is examined and used to develop a new knowledge sharing management structure. Roadblocks to…

  16. The Knowledge Bluff

    ERIC Educational Resources Information Center

    Vanderburg, Willem H.

    2007-01-01

    Our knowledge "system" is built up from disciplines and specialties as its components, which are "wired" by patterns of collaboration that constitute its organization. The intellectual autonomy of these components prevents this knowledge system from adequately accounting for what we have gradually discovered during the past 50 years: In human…

  17. Is Knowledge Like Love?

    ERIC Educational Resources Information Center

    Saussois, Jean-Michel

    2014-01-01

    The label "knowledge management" is a source of ambiguity within the education community. In fact, the role played by knowledge within economics has an impact on the education sector, especially on the nature of the teacher's job. Compared to other sectors such as engineering and health, research and development investment is still weak.…

  18. Knowledge representation for commonality

    NASA Technical Reports Server (NTRS)

    Yeager, Dorian P.

    1990-01-01

    Domain-specific knowledge necessary for commonality analysis falls into two general classes: commonality constraints and costing information. Notations for encoding such knowledge should be powerful and flexible and should appeal to the domain expert. The notations employed by the Commonality Analysis Problem Solver (CAPS) analysis tool are described. Examples are given to illustrate the main concepts.

  19. Educating the Knowledge Worker.

    ERIC Educational Resources Information Center

    Leddick, Susan; Gharajedaghi, Jamshid

    2001-01-01

    In the new economy, knowledge (not labor, raw material, or capital) is the key resource to be converted to goods and services. Public schools will have to educate three tiers of knowledge workers (doers, problem solvers, and designers) using differentiated assessment, curricula, and instruction. Organizational action, not mantras, is needed. (MLH)

  20. [Acquisition of arithmetic knowledge].

    PubMed

    Fayol, Michel

    2008-01-01

    The focus of this paper is on contemporary research on the number counting and arithmetical competencies that emerge during infancy, the preschool years, and the elementary school. I provide a brief overview of the evolution of children's conceptual knowledge of arithmetic knowledge, the acquisition and use of counting and how they solve simple arithmetic problems (e.g. 4 + 3). PMID:18198117

  1. Pedagogical Content Knowledge Taxonomies.

    ERIC Educational Resources Information Center

    Veal, William R.; MaKinster, James G.

    1999-01-01

    Presents two taxonomies that offer a relatively comprehensive categorization scheme for future studies of pedagogical content knowledge (PCK) development in teacher education. "The General Taxonomy of PCK" addresses distinctions within and between the knowledge bases of various disciplines, science subjects, and science topics. "The Taxonomy of…

  2. Adding Confidence to Knowledge

    ERIC Educational Resources Information Center

    Goodson, Ludwika Aniela; Slater, Don; Zubovic, Yvonne

    2015-01-01

    A "knowledge survey" and a formative evaluation process led to major changes in an instructor's course and teaching methods over a 5-year period. Design of the survey incorporated several innovations, including: a) using "confidence survey" rather than "knowledge survey" as the title; b) completing an…

  3. Reuniting Virtue and Knowledge

    ERIC Educational Resources Information Center

    Culham, Tom

    2015-01-01

    Einstein held that intuition is more important than rational inquiry as a source of discovery. Further, he explicitly and implicitly linked the heart, the sacred, devotion and intuitive knowledge. The raison d'être of universities is the advance of knowledge; however, they have primarily focused on developing student's skills in working with…

  4. Children's Knowledge about Medicines.

    ERIC Educational Resources Information Center

    Almarsdottir, Anna B.; Zimmer, Catherine

    1998-01-01

    Examined knowledge about medicines and perceived benefit among 101 children, ages 7 and 10. Found that medicine knowledge was explained using age, educational environment, and degree of internal locus of control as significant predictors. The negative effect of internal locus of control predicted perceived benefit. Retention of drug advertising…

  5. Enriching Number Knowledge

    ERIC Educational Resources Information Center

    Mack, Nancy K.

    2011-01-01

    Exploring number systems of other cultures can be an enjoyable learning experience that enriches students' knowledge of numbers and number systems in important ways. It helps students deepen mental computation fluency, knowledge of place value, and equivalent representations for numbers. This article describes how the author designed her…

  6. Knowledge-based vision and simple visual machines.

    PubMed Central

    Cliff, D; Noble, J

    1997-01-01

    The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the 'knowledge' in knowledge-based vision or form the 'models' in model-based vision. In this paper, we discuss simple machine vision systems developed by artificial evolution rather than traditional engineering design techniques, and note that the task of identifying internal representations within such systems is made difficult by the lack of an operational definition of representation at the causal mechanistic level. Consequently, we question the nature and indeed the existence of representations posited to be used within natural vision systems (i.e. animals). We conclude that representations argued for on a priori grounds by external observers of a particular vision system may well be illusory, and are at best place-holders for yet-to-be-identified causal mechanistic interactions. That is, applying the knowledge-based vision approach in the understanding of evolved systems (machines or animals) may well lead to theories and models that are internally consistent, computationally plausible, and entirely wrong. PMID:9304684

  7. Intensional reasoning about knowledge

    SciTech Connect

    Popov, O.B.

    1987-01-01

    As demands and ambitions increase in Artificial Intelligence, the need for formal systems that facilitate a study and a simulation of a machine cognition has become an inevitability. This paper explores and develops the foundations of a formal system for propositional reasoning about knowledge. The semantics of every meaningful expression in the system is fully determined by its intension, the set of complexes in which the expression is confirmed. The knowledge system is based on three zeroth-order theories of epistemic reasoning for consciousness, knowledge, and entailed knowledge. The results presented determine the soundness and the completeness of the knowledge system. The modes of reasoning and the relations among the various epistemic notions emphasize the expressive power of the intensional paradigm.

  8. Vision, knowledge, and assertion.

    PubMed

    Turri, John

    2016-04-01

    I report two experiments studying the relationship among explicit judgments about what people see, know, and should assert. When an object of interest was surrounded by visibly similar items, it diminished people's willingness to judge that an agent sees, knows, and should tell others that it is present. This supports the claim, made by many philosophers, that inhabiting a misleading environment intuitively decreases our willingness to attribute perception and knowledge. However, contrary to stronger claims made by some philosophers, inhabiting a misleading environment does not lead to the opposite pattern whereby people deny perception and knowledge. Causal modeling suggests a specific psychological model of how explicit judgments about perception, knowledge, and assertability are made: knowledge attributions cause perception attributions, which in turn cause assertability attributions. These findings advance understanding of how these three important judgments are made, provide new evidence that knowledge is the norm of assertion, and highlight some important subtleties in folk epistemology.

  9. Teaching Knowledge Management (SIG KM).

    ERIC Educational Resources Information Center

    McInerney, Claire

    2000-01-01

    Presents an abstract of a planned session on teaching knowledge management, including knowledge management for information professionals; differences between teaching knowledge management in library schools and in business schools; knowledge practices for small groups; and current research. (LRW)

  10. A priori and a posteriori approaches for finding genes of evolutionary interest in non-model species: osmoregulatory genes in the kidney transcriptome of the desert rodent Dipodomys spectabilis (banner-tailed kangaroo rat).

    PubMed

    Marra, Nicholas J; Eo, Soo Hyung; Hale, Matthew C; Waser, Peter M; DeWoody, J Andrew

    2012-12-01

    One common goal in evolutionary biology is the identification of genes underlying adaptive traits of evolutionary interest. Recently next-generation sequencing techniques have greatly facilitated such evolutionary studies in species otherwise depauperate of genomic resources. Kangaroo rats (Dipodomys sp.) serve as exemplars of adaptation in that they inhabit extremely arid environments, yet require no drinking water because of ultra-efficient kidney function and osmoregulation. As a basis for identifying water conservation genes in kangaroo rats, we conducted a priori bioinformatics searches in model rodents (Mus musculus and Rattus norvegicus) to identify candidate genes with known or suspected osmoregulatory function. We then obtained 446,758 reads via 454 pyrosequencing to characterize genes expressed in the kidney of banner-tailed kangaroo rats (Dipodomys spectabilis). We also determined candidates a posteriori by identifying genes that were overexpressed in the kidney. The kangaroo rat sequences revealed nine different a priori candidate genes predicted from our Mus and Rattus searches, as well as 32 a posteriori candidate genes that were overexpressed in kidney. Mutations in two of these genes, Slc12a1 and Slc12a3, cause human renal diseases that result in the inability to concentrate urine. These genes are likely key determinants of physiological water conservation in desert rodents.

  11. Knowledge based programming at KSC

    NASA Technical Reports Server (NTRS)

    Tulley, J. H., Jr.; Delaune, C. I.

    1986-01-01

    Various KSC knowledge-based systems projects are discussed. The objectives of the knowledge-based automatic test equipment and Shuttle connector analysis network projects are described. It is observed that knowledge-based programs must handle factual and expert knowledge; the characteristics of these two types of knowledge are examined. Applications for the knowledge-based programming technique are considered.

  12. Knowledge Convergence and Collaborative Learning

    ERIC Educational Resources Information Center

    Jeong, Heisawn; Chi, Michelene T. H.

    2007-01-01

    This paper operationalized the notion of knowledge convergence and assessed quantitatively how much knowledge convergence occurred during collaborative learning. Knowledge convergence was defined as an increase in common knowledge where common knowledge referred to the knowledge that all collaborating partners had. Twenty pairs of college students…

  13. Unconscious knowledge: A survey

    PubMed Central

    Augusto, Luís M.

    2011-01-01

    The concept of unconscious knowledge is fundamental for an understanding of human thought processes and mentation in general; however, the psychological community at large is not familiar with it. This paper offers a survey of the main psychological research currently being carried out into cognitive processes, and examines pathways that can be integrated into a discipline of unconscious knowledge. It shows that the field has already a defined history and discusses some of the features that all kinds of unconscious knowledge seem to share at a deeper level. With the aim of promoting further research, we discuss the main challenges which the postulation of unconscious cognition faces within the psychological community. PMID:21814538

  14. Knowledge Management: A Skeptic's Guide

    NASA Technical Reports Server (NTRS)

    Linde, Charlotte

    2006-01-01

    A viewgraph presentation discussing knowledge management is shown. The topics include: 1) What is Knowledge Management? 2) Why Manage Knowledge? The Presenting Problems; 3) What Gets Called Knowledge Management? 4) Attempts to Rethink Assumptions about Knowledgs; 5) What is Knowledge? 6) Knowledge Management and INstitutional Memory; 7) Knowledge Management and Culture; 8) To solve a social problem, it's easier to call for cultural rather than organizational change; 9) Will the Knowledge Management Effort Succeed? and 10) Backup: Metrics for Valuing Intellectural Capital i.e. Knowledge.

  15. Test Your Asthma Knowledge

    MedlinePlus

    ... Current Issue Past Issues Special Section Test Your Asthma Knowledge Past Issues / Fall 2007 Table of Contents ... page please turn Javascript on. True or False? Asthma is caused by an inflammation of the inner ...

  16. Visualizing Knowledge Domains.

    ERIC Educational Resources Information Center

    Borner, Katy; Chen, Chaomei; Boyack, Kevin W.

    2003-01-01

    Reviews visualization techniques for scientific disciplines and information retrieval and classification. Highlights include historical background of scientometrics, bibliometrics, and citation analysis; map generation; process flow of visualizing knowledge domains; measures and similarity calculations; vector space model; factor analysis;…

  17. The Costs of Knowledge

    NASA Technical Reports Server (NTRS)

    Prusak, Laurence

    2008-01-01

    Acquiring knowledge-genuinely learning something new-requires the consent and commitment of the person you're trying to learn from. In contrast to information, which can usually be effectively transmitted in a document or diagram, knowledge comes from explaining, clarifying, questioning, and sometimes actually working together. Getting this kind of attention and commitment often involves some form of negotiation, since even the most generous person's time and energy are limited. Few experts sit around waiting to share their knowledge with strangers or casual acquaintances. In reasonably collaborative enterprises- I think NASA is one-this sort of negotiation isn't too onerous. People want to help each other and share what they know, so the "cost" of acquiring knowledge is relatively low. In many organizations (and many communities and countries), however, there are considerable costs associated with this activity, and many situations in which negotiations fail. The greatest knowledge cost is in and adopting knowledge to one's own use. Sometimes this means formally organizing what one learns in writing. Sometimes it means just taking time to reflect on someone else's thoughts and experiences-thinking about knowledge that is not exactly what you need but can lead you to develop ideas that will be useful. A long, discursive conversation, with all the back-and-forth that defines conversation, can be a mechanism of knowledge exchange. I have seen many participants at NASA APPEL Masters Forums talking, reflecting, and thinking-adapting what they are hearing to their own needs. Knowledge transfer is not a simple proposition. An enormous amount of information flows through the world every day, but knowledge is local, contextual, and "stickyn-that is, it takes real effort to move it from one place to another. There is no way around this. To really learn a subject, you have to work at it, you have to pay your "knowledge dues." So while, thanks to advances in technology

  18. US Spacesuit Knowledge Capture

    NASA Technical Reports Server (NTRS)

    Chullen, Cinda; Thomas, Ken; McMann, Joe; Dolan, Kristi; Bitterly, Rose; Lewis, Cathleen

    2011-01-01

    The ability to learn from both the mistakes and successes of the past is vital to assuring success in the future. Due to the close physical interaction between spacesuit systems and human beings as users, spacesuit technology and usage lends itself rather uniquely to the benefits realized from the skillful organization of historical information; its dissemination; the collection and identification of artifacts; and the education of those in the field. The National Aeronautics and Space Administration (NASA), other organizations and individuals have been performing United States (U.S.) Spacesuit Knowledge Capture since the beginning of space exploration. Avenues used to capture the knowledge have included publication of reports; conference presentations; specialized seminars; and classes usually given by veterans in the field. More recently the effort has been more concentrated and formalized whereby a new avenue of spacesuit knowledge capture has been added to the archives in which videotaping occurs engaging both current and retired specialists in the field presenting technical scope specifically for education and preservation of knowledge. With video archiving, all these avenues of learning can now be brought to life with the real experts presenting their wealth of knowledge on screen for future learners to enjoy. Scope and topics of U.S. spacesuit knowledge capture have included lessons learned in spacesuit technology, experience from the Gemini, Apollo, Skylab and Shuttle programs, hardware certification, design, development and other program components, spacesuit evolution and experience, failure analysis and resolution, and aspects of program management. Concurrently, U.S. spacesuit knowledge capture activities have progressed to a level where NASA, the National Air and Space Museum (NASM), Hamilton Sundstrand (HS) and the spacesuit community are now working together to provide a comprehensive closed-looped spacesuit knowledge capture system which includes

  19. Knowledge elicitation for an operator assistant system in process control tasks

    NASA Technical Reports Server (NTRS)

    Boy, Guy A.

    1988-01-01

    A knowledge based system (KBS) methodology designed to study human machine interactions and levels of autonomy in allocation of process control tasks is presented. Users are provided with operation manuals to assist them in normal and abnormal situations. Unfortunately, operation manuals usually represent only the functioning logic of the system to be controlled. The user logic is often totally different. A method is focused on which illicits user logic to refine a KBS shell called an Operator Assistant (OA). If the OA is to help the user, it is necessary to know what level of autonomy gives the optimal performance of the overall man-machine system. For example, for diagnoses that must be carried out carefully by both the user and the OA, interactions are frequent, and processing is mostly sequential. Other diagnoses can be automated, in which the case the OA must be able to explain its reasoning in an appropriate level of detail. OA structure was used to design a working KBS called HORSES (Human Orbital Refueling System Expert System). Protocol analysis of pilots interacting with this system reveals that the a-priori analytical knowledge becomes more structured with training and the situation patterns more complex and dynamic. This approach can improve the a-priori understanding of human and automatic reasoning.

  20. Atlantic Telehealth Knowledge Exchange.

    PubMed

    Dwyer, Patricia; Hagerman, Valerie; Ingram, Chris-Anne; MacFarlane, Ron; McCourt, Sherry

    2004-01-01

    Atlantic Canada has some of the earliest, most comprehensive, well-established networks, and innovative applications for telehealth in the country. The region offers a range of models for telehealth, in terms of management structure, coordination, funding, equipment, utilization, and telehealth applications. Collectively, this diversity, experience, and wealth of knowledge can significantly contribute to the development of a knowledge base for excellence in telehealth services. There is no formal process in place for the sharing of information amongst the provinces. Information sharing primarily occurs informally through professional contacts and participation in telehealth organizations. A core group of organizations partnered to develop a process for knowledge exchange to occur. This type of collaborative approach is favored in Atlantic Canada, given the region's economy and available resources. The Atlantic Telehealth Knowledge Exchange (ATKE) project centred on the development of a collaborative structure, information sharing and dissemination, development of a knowledge repository and sustainability. The project is viewed as a first step in assisting telehealth stakeholders with sharing knowledge about telehealth in Atlantic Canada. Significant progress has been made throughout the project in increasing the profile of telehealth in Atlantic Canada. The research process has captured and synthesized baseline information on telehealth, and fostered collaboration amongst telehealth providers who might otherwise have never come together. It has also brought critical awareness to the discussion tables of governments and key committees regarding the value of telehealth in sustaining our health system, and has motivated decision makers to take action to integrate telehealth into e-health discussions.

  1. The Roles of Knowledge Professionals for Knowledge Management.

    ERIC Educational Resources Information Center

    Kim, Seonghee

    This paper starts by exploring the definition of knowledge and knowledge management; examples of acquisition, creation, packaging, application, and reuse of knowledge are provided. It then considers the partnership for knowledge management and especially how librarians as knowledge professionals, users, and technology experts can contribute to…

  2. Essentials of doctoral education: organization of program around knowledge areas.

    PubMed

    Ketefian, S

    1993-01-01

    This article presents a case study describing how one nursing doctoral program faculty has identified, organized, and taught the disciplinary knowledge component of the curriculum. Three foci were chosen: health promotion and risk reduction; acute, critical, and long-term care; and systems. Faculty groups designed each focus to capitalize on current faculty research strengths and did not use a formalized knowledge structure a priori. Scholarship content and sample courses are described. Factors affecting implementation included providing students with choice; a mixture of full-time and part-time students; little interchangeability of faculty in courses; balancing doctoral teaching with teaching at other levels; advisement issues; a lengthy formal curriculum approval process; and highly specific needs of individual students. Initial reflection shows the possibility of integrating the research methods content into the disciplinary courses in light of their interdependence; help gained through the process in achieving clarity about what the school wishes to be known for; the necessity of a critical mass of faculty with active research programs along with commitment to program enrichment; the role of the foci in providing intellectual sustenance and mutual faculty mentorship; and concern about the inability to fit of some faculty. PMID:8294641

  3. Self-emergence of knowledge trees: Extraction of the Wikipedia hierarchies

    NASA Astrophysics Data System (ADS)

    Muchnik, Lev; Itzhack, Royi; Solomon, Sorin; Louzoun, Yoram

    2007-07-01

    The rapid accumulation of knowledge and the recent emergence of new dynamic and practically unmoderated information repositories have rendered the classical concept of the hierarchal knowledge structure irrelevant and impossible to impose manually. This led to modern methods of data location, such as browsing or searching, which conceal the underlying information structure. We here propose methods designed to automatically construct a hierarchy from a network of related terms. We apply these methods to Wikipedia and compare the hierarchy obtained from the article network to the complementary acyclic category layer of the Wikipedia and show an excellent fit. We verify our methods in two networks with no a priori hierarchy (the E. Coli genetic regulatory network and the C. Elegans neural network) and a network of function libraries of modern computer operating systems that are intrinsically hierarchical and reproduce a known functional order.

  4. Knowledge-based vision for space station object motion detection, recognition, and tracking

    NASA Technical Reports Server (NTRS)

    Symosek, P.; Panda, D.; Yalamanchili, S.; Wehner, W., III

    1987-01-01

    Computer vision, especially color image analysis and understanding, has much to offer in the area of the automation of Space Station tasks such as construction, satellite servicing, rendezvous and proximity operations, inspection, experiment monitoring, data management and training. Knowledge-based techniques improve the performance of vision algorithms for unstructured environments because of their ability to deal with imprecise a priori information or inaccurately estimated feature data and still produce useful results. Conventional techniques using statistical and purely model-based approaches lack flexibility in dealing with the variabilities anticipated in the unstructured viewing environment of space. Algorithms developed under NASA sponsorship for Space Station applications to demonstrate the value of a hypothesized architecture for a Video Image Processor (VIP) are presented. Approaches to the enhancement of the performance of these algorithms with knowledge-based techniques and the potential for deployment of highly-parallel multi-processor systems for these algorithms are discussed.

  5. Uncertainty as knowledge

    PubMed Central

    Lewandowsky, Stephan; Ballard, Timothy; Pancost, Richard D.

    2015-01-01

    This issue of Philosophical Transactions examines the relationship between scientific uncertainty about climate change and knowledge. Uncertainty is an inherent feature of the climate system. Considerable effort has therefore been devoted to understanding how to effectively respond to a changing, yet uncertain climate. Politicians and the public often appeal to uncertainty as an argument to delay mitigative action. We argue that the appropriate response to uncertainty is exactly the opposite: uncertainty provides an impetus to be concerned about climate change, because greater uncertainty increases the risks associated with climate change. We therefore suggest that uncertainty can be a source of actionable knowledge. We survey the papers in this issue, which address the relationship between uncertainty and knowledge from physical, economic and social perspectives. We also summarize the pervasive psychological effects of uncertainty, some of which may militate against a meaningful response to climate change, and we provide pointers to how those difficulties may be ameliorated. PMID:26460108

  6. Activating Event Knowledge

    PubMed Central

    Hare, Mary; Jones, Michael; Thomson, Caroline; Kelly, Sarah; McRae, Ken

    2009-01-01

    An increasing number of results in sentence and discourse processing demonstrate that comprehension relies on rich pragmatic knowledge about real-world events, and that incoming words incrementally activate such knowledge. If so, then even outside of any larger context, nouns should activate knowledge of the generalized events that they denote or typically play a role in. We used short stimulus onset asynchrony priming to demonstrate that (1) event nouns prime people (sale-shopper) and objects (trip-luggage) commonly found at those events; (2) location nouns prime people/animals (hospital-doctor) and objects (barn-hay) commonly found at those locations; and (3) instrument nouns prime things on which those instruments are commonly used (key-door), but not the types of people who tend to use them (hose-gardener). The priming effects are not due to normative word association. On our account, facilitation results from event knowledge relating primes and targets. This has much in common with computational models like LSA or BEAGLE in which one word primes another if they frequently occur in similar contexts. LSA predicts priming for all six experiments, whereas BEAGLE correctly predicted that priming should not occur for the instrument-people relation but should occur for the other five. We conclude that event-based relations are encoded in semantic memory and computed as part of word meaning, and have a strong influence on language comprehension. PMID:19298961

  7. Keeping Knowledge in Site

    ERIC Educational Resources Information Center

    Livingstone, David N.

    2010-01-01

    Recent work on the history of education has been registering a "spatial turn" in its historiography. These reflections from a historical geographer working on the spatiality of knowledge enterprises (science in particular) reviews some recent developments in the field before turning to three themes--landscape agency, geographies of textuality, and…

  8. National Knowledge Commission

    NASA Astrophysics Data System (ADS)

    Pitroda, Sam

    2007-04-01

    India's National Knowledge Commission (NKC) established by the prime minister is focused on building institutions and infrastructure in Education, Science and Technology, Innovation etc. to meet the challenges of the knowledge economy in the 21st century and increase India's competitive advantage in the global market. India today stands poised to reap the benefits of a rapidly growing economy and a major demographic advantage, with 550 million young people below the age of 25 years, the largest in the world. The NKC is focused on five critical areas of knowledge related to access, concepts, creation, applications and services. This includes a variety of subject areas such as language, translations, libraries, networks, portals, affirmative action, distance learning, intellectual property, Entrepreneurship, application in Agriculture, health, small and medium scale industries, e-governance etc. One of the keys to this effort is to build a national broadband gigabit of networks of 500 nodes to connect universities, Libraries, Laboratories, Hospitals, Agriculture institutions etc. to share resources and collaborate on multidisciplinary activities. This presentation will introduce the NKC, discuss methodology, subject areas, specific recommendation and outline a plan to build knowledge networks and specifics on network architecture, applications, and utilities.

  9. Harvesting Cultural Knowledge.

    ERIC Educational Resources Information Center

    Keating, Joseph F.

    1997-01-01

    Describes a year-long course called Outdoor Science taught at an American Indian reservation high school that demonstrates to students the connection between traditional tribal knowledge and western science to spark student interest in science. Presents a list that contains references on the subject of ethnobotany. Includes specific references for…

  10. Doing Knowledge Management

    ERIC Educational Resources Information Center

    Firestone, Joseph M.; McElroy, Mark W.

    2005-01-01

    Purpose: Knowledge management (KM) as a field has been characterized by great confusion about its conceptual foundations and scope, much to the detriment of assessments of its impact and track record. The purpose of this paper is to contribute toward defining the scope of KM and ending the confusion, by presenting a conceptual framework and set of…

  11. Knowledge Management as Enterprise

    ERIC Educational Resources Information Center

    Kutay, Cat

    2007-01-01

    Indigenous people have been for a long time deprived of financial benefit from their knowledge. Campaigns around the stolen wages and the "Pay the Rent" campaign highlight this. As does the endemic poverty and economic disenfranchisement experienced by many Indigenous people and communities in Australia. Recent enterprises developed by Indigenous…

  12. Testing Student Knowledge.

    ERIC Educational Resources Information Center

    Center for the Study of Community Colleges Bulletin, 1986

    1986-01-01

    A study was conducted by the Center for the Study of Community Colleges to assess student knowledge in the liberal arts in four large urban community college districts (i.e., Chicago, Los Angeles, Miami-Dade, and St. Louis). The study used both a student characteristics survey and the General Academic Assessment (GAA), a content test designed to…

  13. First People, Firsthand Knowledge.

    ERIC Educational Resources Information Center

    Martinez, Dennis

    1996-01-01

    We are infatuated with our abilities to predict and analyze, yet we need to listen and observe, behaviors that made Native Americans wise environmental managers. European Americans, who are new to this hemisphere, and indigenous people must forge a world view that synthesizes Western science and traditional environmental knowledge in order to…

  14. Anishinaabe Star Knowledge.

    ERIC Educational Resources Information Center

    Price, Michael Wassegijig

    2002-01-01

    A connection with nature constitutes the difference between Western science and indigenous perspectives of the natural world. Understanding the synchronicity of natural and astronomical cycles is integral to Anishinaabe cosmology. Examples show how the Anishinaabe cultural worldview and philosophy are reflected in their celestial knowledge and how…

  15. Medical Knowledge Bases.

    ERIC Educational Resources Information Center

    Miller, Randolph A.; Giuse, Nunzia B.

    1991-01-01

    Few commonly available, successful computer-based tools exist in medical informatics. Faculty expertise can be included in computer-based medical information systems. Computers allow dynamic recombination of knowledge to answer questions unanswerable with print textbooks. Such systems can also create stronger ties between academic and clinical…

  16. Hermeneutics of Integrative Knowledge.

    ERIC Educational Resources Information Center

    Shin, Un-chol

    This paper examines and compares the formation processes and structures of three types of integrative knowledge that in general represent natural sciences, social sciences, and humanities. These three types can be observed, respectively, in the philosophies of Michael Polanyi, Jurgen Habermas, and Paul Ricoeur. These types of integrative knowledge…

  17. Supervising Knowledge Work.

    ERIC Educational Resources Information Center

    Duffy, Francis M.

    This paper summarizes a new paradigm of instructional supervision, which shifts the focus on supervision from an examination of individual behavior to the improvement of work processes and social system components of the school district. The paradigm, called "Knowledge Work Supervision," helps teams of teachers and specially trained supervisors…

  18. Spectral Bayesian Knowledge Tracing

    ERIC Educational Resources Information Center

    Falakmasir, Mohammad; Yudelson, Michael; Ritter, Steve; Koedinger, Ken

    2015-01-01

    Bayesian Knowledge Tracing (BKT) has been in wide use for modeling student skill acquisition in Intelligent Tutoring Systems (ITS). BKT tracks and updates student's latent mastery of a skill as a probability distribution of a binary variable. BKT does so by accounting for observed student successes in applying the skill correctly, where success is…

  19. Knowledge From Pictures (KFP)

    NASA Technical Reports Server (NTRS)

    Truszkowski, Walt; Paterra, Frank; Bailin, Sidney

    1993-01-01

    The old maxim goes: 'A picture is worth a thousand words'. The objective of the research reported in this paper is to demonstrate this idea as it relates to the knowledge acquisition process and the automated development of an expert system's rule base. A prototype tool, the Knowledge From Pictures (KFP) tool, has been developed which configures an expert system's rule base by an automated analysis of and reasoning about a 'picture', i.e., a graphical representation of some target system to be supported by the diagnostic capabilities of the expert system under development. This rule base, when refined, could then be used by the expert system for target system monitoring and fault analysis in an operational setting. Most people, when faced with the problem of understanding the behavior of a complicated system, resort to the use of some picture or graphical representation of the system as an aid in thinking about it. This depiction provides a means of helping the individual to visualize the bahavior and dynamics of the system under study. An analysis of the picture augmented with the individual's background information, allows the problem solver to codify knowledge about the system. This knowledge can, in turn, be used to develop computer programs to automatically monitor the system's performance. The approach taken is this research was to mimic this knowledge acquisition paradigm. A prototype tool was developed which provides the user: (1) a mechanism for graphically representing sample system-configurations appropriate for the domain, and (2) a linguistic device for annotating the graphical representation with the behaviors and mutual influences of the components depicted in the graphic. The KFP tool, reasoning from the graphical depiction along with user-supplied annotations of component behaviors and inter-component influences, generates a rule base that could be used in automating the fault detection, isolation, and repair of the system.

  20. Creating Illusions of Knowledge: Learning Errors that Contradict Prior Knowledge

    ERIC Educational Resources Information Center

    Fazio, Lisa K.; Barber, Sarah J.; Rajaram, Suparna; Ornstein, Peter A.; Marsh, Elizabeth J.

    2013-01-01

    Most people know that the Pacific is the largest ocean on Earth and that Edison invented the light bulb. Our question is whether this knowledge is stable, or if people will incorporate errors into their knowledge bases, even if they have the correct knowledge stored in memory. To test this, we asked participants general-knowledge questions 2 weeks…

  1. Reusing Design Knowledge Based on Design Cases and Knowledge Map

    ERIC Educational Resources Information Center

    Yang, Cheng; Liu, Zheng; Wang, Haobai; Shen, Jiaoqi

    2013-01-01

    Design knowledge was reused for innovative design work to support designers with product design knowledge and help designers who lack rich experiences to improve their design capacity and efficiency. First, based on the ontological model of product design knowledge constructed by taxonomy, implicit and explicit knowledge was extracted from some…

  2. Depth of Teachers' Knowledge: Frameworks for Teachers' Knowledge of Mathematics

    ERIC Educational Resources Information Center

    Holmes, Vicki-Lynn

    2012-01-01

    This article describes seven teacher knowledge frameworks and relates these frameworks to the teaching and assessment of elementary teacher's mathematics knowledge. The frameworks classify teachers' knowledge and provide a vocabulary and common language through which knowledge can be discussed and assessed. These frameworks are categorized into…

  3. Metalinguistic Knowledge, Metalingual Knowledge, and Proficiency in L2 Spanish

    ERIC Educational Resources Information Center

    Gutierrez, Xavier

    2013-01-01

    The role of metalinguistic knowledge of language and knowledge of technical terms (i.e. metalingual knowledge) in second language (L2) learning and use is a matter of controversy in the field of Second Language Acquisition. This paper examines the development of these two types of knowledge in adult university-level learners of L2 Spanish, and…

  4. Standard model of knowledge representation

    NASA Astrophysics Data System (ADS)

    Yin, Wensheng

    2016-03-01

    Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

  5. Standard model of knowledge representation

    NASA Astrophysics Data System (ADS)

    Yin, Wensheng

    2016-09-01

    Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

  6. Language knowledge and event knowledge in language use.

    PubMed

    Willits, Jon A; Amato, Michael S; MacDonald, Maryellen C

    2015-05-01

    This paper examines how semantic knowledge is used in language comprehension and in making judgments about events in the world. We contrast knowledge gleaned from prior language experience ("language knowledge") and knowledge coming from prior experience with the world ("world knowledge"). In two corpus analyses, we show that previous research linking verb aspect and event representations have confounded language and world knowledge. Then, using carefully chosen stimuli that remove this confound, we performed four experiments that manipulated the degree to which language knowledge or world knowledge should be salient and relevant to performing a task, finding in each case that participants use the type of knowledge most appropriate to the task. These results provide evidence for a highly context-sensitive and interactionist perspective on how semantic knowledge is represented and used during language processing.

  7. Knowledge Resources - A Knowledge Management Approach for Digital Ecosystems

    NASA Astrophysics Data System (ADS)

    Kurz, Thomas; Eder, Raimund; Heistracher, Thomas

    The paper at hand presents an innovative approach for the conception and implementation of knowledge management in Digital Ecosystems. Based on a reflection of Digital Ecosystem research of the past years, an architecture is outlined which utilizes Knowledge Resources as the central and simplest entities of knowledge transfer. After the discussion of the related conception, the result of a first prototypical implementation is described that helps the transformation of implicit knowledge to explicit knowledge for wide use.

  8. Investigating the Knowledge Management Culture

    ERIC Educational Resources Information Center

    Stylianou, Vasso; Savva, Andreas

    2016-01-01

    Knowledge Management (KM) efforts aim at leveraging an organization into a knowledge organization thereby presenting knowledge employees with a very powerful tool; organized valuable knowledge accessible when and where needed in flexible, technologically-enhanced modes. The attainment of this aim, i.e., the transformation into a knowledge…

  9. Knowledge Creation in Constructivist Learning

    ERIC Educational Resources Information Center

    Jaleel, Sajna; Verghis, Alie Molly

    2015-01-01

    In today's competitive global economy characterized by knowledge acquisition, the concept of knowledge management has become increasingly prevalent in academic and business practices. Knowledge creation is an important factor and remains a source of competitive advantage over knowledge management. Constructivism holds that learners learn actively…

  10. Knowledge Management: The Collaboration Thread.

    ERIC Educational Resources Information Center

    Anklam, Patti

    2002-01-01

    Describes the evolution of knowledge management in businesses and in other organizations and discusses explicit knowledge versus tacit knowledge; communities and collaboration; measuring social capital; social network analysis; organizational change; individual and personal change; improving the network; and the next stage of knowledge management.…

  11. Kinds of Knowledge in Algebra.

    ERIC Educational Resources Information Center

    Lewis, Clayton

    Solving equations in elementary algebra requires knowledge of the permitted operations, and knowledge of what operation to use at a given point in the solution process. While just these kinds of knowledge would be adequate for an ideal solver, human solvers appear to need and use other kinds of knowledge. First, many errors seem to indicate that…

  12. A theory of knowledge

    NASA Astrophysics Data System (ADS)

    Pachner, J.

    1984-11-01

    In order to make reliable predictions in any region of human activity, it is necessary to distinguish clearly what is based on experience and what is a construction of intellect. The theory of knowledge developed in the present paper is an attempt to devise a set of axioms that demarcate experience, as the only source of our knowledge of the external world, from the ideas, scientific models, and theories by means of which the scientific predictions are made. After a discussion of the causality in relation to the laws of nature, the axioms of the expounded theory are formulated in the formalism of set theory. The theory is then applied to some problems in physics to demonstrate its usefulness.

  13. The Knowledge Stealing Initiative?

    NASA Technical Reports Server (NTRS)

    Goshorn, Larry

    2005-01-01

    I have the honor of being on the Academy of Program and Project Leadership (APPL) Knowledge Sharing Feedback and Assessment Team (FAA), and as such, I am privileged to receive the feedback written by many of you as attendees of the Project Management (PM) Master s Forums. It is the intent of the FAA Team and APPL leadership to use this feedback as a tool for continuous program improvement. As a retired (sort of) PM in the payload contracting industry, I'm a big supporter of NASA s Knowledge Sharing Initiative (KSI), especially the Master's Forums. I really enjoy participating in them. Unfortunately I had to miss the 8th forum in Pasadena this past Spring, but I did get the feedback package for the Assessment Team work. So here I was, reviewing twelve pages of comments, reflections, learning notes and critiques from attendees of the 8th forum.

  14. [Models of self knowledge].

    PubMed

    Orlando, Eleonora

    2005-01-01

    The main purpose of this paper is to analyze some different explanatory models of self - knowledge, belonging to Contemporary analytic philosophy. As a starting point, I will focus on self-ascriptions of mental states of the likes of "I have a headache", "I am thinking about my son", "I desire to shock my father", namely, the so-called "avowals". In the first part, I will point out what I take to be the set of characteristics of avowals that any theory about self-knowledge should account for. In the second part, I will present and contrast with one another the main theoretical explanatory models that have been put forward to give the required account. PMID:16220151

  15. Spatial Knowledge Capture Library

    2005-05-16

    The Spatial Knowledge Capture Library is a set of algorithms to capture regularities in shapes and trajectories through space and time. We have applied Spatial Knowledge Capture to model the actions of human experts in spatial domains, such as an AWACS Weapons Director task simulation. The library constructs a model to predict the expert’s response to sets of changing cues, such as the movements and actions of adversaries on a battlefield, The library includes amore » highly configurable feature extraction functionality, which supports rapid experimentation to discover causative factors. We use k-medoid clustering to group similar episodes of behavior, and construct a Markov model of system state transitions induced by agents’ actions.« less

  16. Test your troubleshooting knowledge.

    PubMed

    Snyder, E

    2001-01-01

    While troubleshooting and repairing medical instrumentation may be all that BMETs would like to do, it's just too limited in scope to perform the job effectively. Flattened organizations can require greater responsibility for BMETs--and lead to greater ambiguity. Besides electronic troubleshooting skills, mechanical ability, and the knowledge of how medical equipment normally operates, additional skills are required of the BMET to effectively facilitate a repair--such as knowledge of pertinent codes and standards, job safety laws and guidelines, politeness, and empathy for the equipment user. You will notice that many of these relate to interpersonal relations. The ability to interact with fellow health care workers in a non-threatening manner and to have an appreciation for their perspectives are valuable customer service skills--potentially more valuable than being able to do component-level troubleshooting! PMID:11668951

  17. A knowledge-driven quasi-global registration of thoracic-abdominal CT and CBCT for image-guided interventions

    NASA Astrophysics Data System (ADS)

    Zhang, Li; Chefd'hotel, Christophe; Ordy, Vincent; Zheng, Jie; Deng, Xiang; Odry, Benjamin

    2013-03-01

    In this work, we have developed a novel knowledge-driven quasi-global method for fast and robust registration of thoracic-abdominal CT and cone beam CT (CBCT) scans. While the use of CBCT in operating rooms has become a common practice, there is an increasing demand on the registration of CBCT with pre-operative scans, in many cases, CT scans. One of the major challenges of thoracic-abdominal CT/CBCT registration is from various fields of view (FOVs) of the two imaging modalities. The proposed approach utilizes a priori knowledge of anatomy to generate 2D anatomy targeted projection (ATP) images that surrogate the original volumes. The use of lower dimension surrogate images can significantly reduce the computation cost of similarity evaluation during optimization and make it practically feasible to perform global optimization based registration for image-guided interventional procedures. Another a priori knowledge about the local optima distribution on energy curves is further used to effectively select multi-starting points for registration optimization. 20 clinical data sets were used to validate the method and the target registration error (TRE) and maximum registration error (MRE) were calculated to compare the performance of the knowledge-driven quasi-global registration against a typical local-search based registration. The local search based registration failed on 60% cases, with an average TRE of 22.9mm and MRE of 28.1mm; the knowledge-driven quasi-global registration achieved satisfactory results for all the 20 data sets, with an average TRE of 3.5mm, and MRE of 2.6mm. The average computation time for the knowledge-driven quasi-global registration is 8.7 seconds.

  18. Threads of common knowledge.

    PubMed

    Icamina, P

    1993-04-01

    Indigenous knowledge is examined as it is affected by development and scientific exploration. The indigenous culture of shamanism, which originated in northern and southeast Asia, is a "political and religious technique for managing societies through rituals, myths, and world views." There is respect for the natural environment and community life as a social common good. This world view is still practiced by many in Latin America and in Colombia specifically. Colombian shamanism has an environmental accounting system, but the Brazilian government has established its own system of land tenure and political representation which does not adequately represent shamanism. In 1992 a conference was held in the Philippines by the International Institute for Rural Reconstruction and IDRC on sustainable development and indigenous knowledge. The link between the two is necessary. Unfortunately, there are already examples in the Philippines of loss of traditional crop diversity after the introduction of modern farming techniques and new crop varieties. An attempt was made to collect species, but without proper identification. Opposition was expressed to the preservation of wilderness preserves; the desire was to allow indigenous people to maintain their homeland and use their time-tested sustainable resource management strategies. Property rights were also discussed during the conference. Of particular concern was the protection of knowledge rights about biological diversity or pharmaceutical properties of indigenous plant species. The original owners and keepers of the knowledge must retain access and control. The research gaps were identified and found to be expansive. Reference was made to a study of Mexican Indian children who knew 138 plant species while non-Indian children knew only 37. Sometimes there is conflict of interest where foresters prefer timber forests and farmers desire fuelwood supplies and fodder and grazing land, which is provided by shrubland. Information

  19. Threads of common knowledge.

    PubMed

    Icamina, P

    1993-04-01

    Indigenous knowledge is examined as it is affected by development and scientific exploration. The indigenous culture of shamanism, which originated in northern and southeast Asia, is a "political and religious technique for managing societies through rituals, myths, and world views." There is respect for the natural environment and community life as a social common good. This world view is still practiced by many in Latin America and in Colombia specifically. Colombian shamanism has an environmental accounting system, but the Brazilian government has established its own system of land tenure and political representation which does not adequately represent shamanism. In 1992 a conference was held in the Philippines by the International Institute for Rural Reconstruction and IDRC on sustainable development and indigenous knowledge. The link between the two is necessary. Unfortunately, there are already examples in the Philippines of loss of traditional crop diversity after the introduction of modern farming techniques and new crop varieties. An attempt was made to collect species, but without proper identification. Opposition was expressed to the preservation of wilderness preserves; the desire was to allow indigenous people to maintain their homeland and use their time-tested sustainable resource management strategies. Property rights were also discussed during the conference. Of particular concern was the protection of knowledge rights about biological diversity or pharmaceutical properties of indigenous plant species. The original owners and keepers of the knowledge must retain access and control. The research gaps were identified and found to be expansive. Reference was made to a study of Mexican Indian children who knew 138 plant species while non-Indian children knew only 37. Sometimes there is conflict of interest where foresters prefer timber forests and farmers desire fuelwood supplies and fodder and grazing land, which is provided by shrubland. Information

  20. [People's knowledge about dementia].

    PubMed

    Bogolepova, A N

    2015-01-01

    Cognitive impairment is one of the most urgent problems due to the high prevalence and disability. Timely identification and early diagnosis of dementia are the most important for successful management of patients that may be possible only if patients refer for medical care. In this connection, people's knowledge about dementia is of great importance. To study people's knowledge about problems of dementia. The survey was carried out in September 2014 in 42 regions of the Russian Federation (130 survey sites) and comprised 1600 respondents. The survey has revealed that 48% of participants are afraid to have dementia, 47% are not aware of signs and symptoms of marked cognitive impairment and 54% have concerns about age-related memory impairment. A low percent of people who refer for medical care may be explained by the widespread opinion (37% of Russians) that dementia is not curable; 42% believe that there are no drugs for treatment of dementia. Only 5% of respondents would visit a doctor if their relative has dementia. The results of this survey highlighted the necessity of using special programs to improve people's knowledge about problems of dementia.

  1. Knowledge Translation in Audiology

    PubMed Central

    Kothari, Anita; Bagatto, Marlene P.; Seewald, Richard; Miller, Linda T.; Scollie, Susan D.

    2011-01-01

    The impetus for evidence-based practice (EBP) has grown out of widespread concern with the quality, effectiveness (including cost-effectiveness), and efficiency of medical care received by the public. Although initially focused on medicine, EBP principles have been adopted by many of the health care professions and are often represented in practice through the development and use of clinical practice guidelines (CPGs). Audiology has been working on incorporating EBP principles into its mandate for professional practice since the mid-1990s. Despite widespread efforts to implement EBP and guidelines into audiology practice, gaps still exist between the best evidence based on research and what is being done in clinical practice. A collaborative dynamic and iterative integrated knowledge translation (KT) framework rather than a researcher-driven hierarchical approach to EBP and the development of CPGs has been shown to reduce the knowledge-to-clinical action gaps. This article provides a brief overview of EBP and CPGs, including a discussion of the barriers to implementing CPGs into clinical practice. It then offers a discussion of how an integrated KT process combined with a community of practice (CoP) might facilitate the development and dissemination of evidence for clinical audiology practice. Finally, a project that uses the knowledge-to-action (KTA) framework for the development of outcome measures in pediatric audiology is introduced. PMID:22194314

  2. Western Hemisphere Knowledge Partnerships

    NASA Astrophysics Data System (ADS)

    Malone, T. F.

    2001-05-01

    Society in general, and geophysicists in particular, are challenged by problems and opportunities in the prospects for an additional three billion people on finite planet Earth by 2050 in a global economy four to six times larger than it is at present. A problem was identified by the Pilot Assessment of Global Ecosystems (PAGE): "If we choose to continue our current patterns of use, we face almost certain decline in the ability of ecosystems to yield their broad spectrum of benefits - from clean water to stable climate, fuel wood to food crops, timber to wildlife habitat." This is the issue of environmental sustainability. Another problem is the widening gap in wealth and health between affluent nations and impoverished countries. Every day each of the more than a billion people in the industrial nations produces goods and services worth nearly 60 dollars to meet their basic needs and "wants." This figure increases by about 85 cents annually. Every day each of the 600 million people in the least developed countries produces goods and services worth about 75 cents to meet their basic needs and limited wants. That number grows by less that a penny a day annually. This is the issue of economic prosperity and equity. By harnessing revolutionary technologies in communications to distribute expanding knowledge in the physical, chemical, and geophysical sciences and exploding knowledge in the biological and health sciences, a new vision for world society is brought within reach in The Knowledge Age. It is a society in which all of the basic human needs and an equitable share of human wants can be met while maintaining healthy, attractive, and biologically productive ecosystems. This society is environmentally sustainable, economically prosperous and equitable, and therefore likely to be politically stable. The time has arrived to fashion a strategy to pursue that vision. A knowledge-based and human-centered strategy will involve the discovery, integration, dissemination

  3. Procedural and Conceptual Knowledge: Exploring the Gap between Knowledge Type and Knowledge Quality

    ERIC Educational Resources Information Center

    Star, Jon R.; Stylianides, Gabriel J.

    2013-01-01

    Following Star (2005, 2007), we continue to problematize the entangling of type and quality in the use of conceptual knowledge and procedural knowledge. Although those whose work is guided by types of knowledge and those whose work is guided by qualities of knowledge seem to be referring to the same phenomena, actually they are not. This lack of…

  4. Distinguishing Knowledge-Sharing, Knowledge-Construction, and Knowledge-Creation Discourses

    ERIC Educational Resources Information Center

    van Aalst, Jan

    2009-01-01

    The study reported here sought to obtain the clear articulation of asynchronous computer-mediated discourse needed for Carl Bereiter and Marlene Scardamalia's knowledge-creation model. Distinctions were set up between three modes of discourse: knowledge sharing, knowledge construction, and knowledge creation. These were applied to the asynchronous…

  5. From knowledge presentation to knowledge representation to knowledge construction: Future directions for hypermedia

    NASA Technical Reports Server (NTRS)

    Palumbo, David B.

    1990-01-01

    Relationships between human memory systems and hypermedia systems are discussed with particular emphasis on the underlying importance of associational memory. The distinctions between knowledge presentation, knowledge representation, and knowledge constructions are addressed. Issues involved in actually developing individualizable hypermedia based knowledge construction tools are presented.

  6. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    SciTech Connect

    Danuso, Francesco

    2008-06-18

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed. SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Joergensen, 1994) in which systems are modeled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  7. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    ScienceCinema

    Danuso, Francesco [University of Udine, Italy

    2016-07-12

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed.  SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Jørgensen, 1994) in which systems are modelled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower  management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  8. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    SciTech Connect

    Danuso, Francesco

    2008-06-18

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed.  SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Jørgensen, 1994) in which systems are modelled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower  management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  9. Knowledge repositories for multiple uses

    NASA Technical Reports Server (NTRS)

    Williamson, Keith; Riddle, Patricia

    1991-01-01

    In the life cycle of a complex physical device or part, for example, the docking bay door of the Space Station, there are many uses for knowledge about the device or part. The same piece of knowledge might serve several uses. Given the quantity and complexity of the knowledge that must be stored, it is critical to maintain the knowledge in one repository, in one form. At the same time, because of quantity and complexity of knowledge that must be used in life cycle applications such as cost estimation, re-design, and diagnosis, it is critical to automate such knowledge uses. For each specific use, a knowledge base must be available and must be in a from that promotes the efficient performance of that knowledge base. However, without a single source knowledge repository, the cost of maintaining consistent knowledge between multiple knowledge bases increases dramatically; as facts and descriptions change, they must be updated in each individual knowledge base. A use-neutral representation of a hydraulic system for the F-111 aircraft was developed. The ability to derive portions of four different knowledge bases is demonstrated from this use-neutral representation: one knowledge base is for re-design of the device using a model-based reasoning problem solver; two knowledge bases, at different levels of abstraction, are for diagnosis using a model-based reasoning solver; and one knowledge base is for diagnosis using an associational reasoning problem solver. It was shown how updates issued against the single source use-neutral knowledge repository can be propagated to the underlying knowledge bases.

  10. [Test your knowledge: contraceptives].

    PubMed

    1998-06-01

    A brief self-administered quiz on contraceptive knowledge is presented. The 7 questions ask the reader to explain the mechanism of action of combined oral contraceptives, and why estrogens are used with progestins, and to indicate the main secondary effects of Depo-Provera and implants and the dosage of the "morning-after pill." A multiple-choice question concerns absolute contraindications to combined OC use. One clinical case involves selection of OCs for a woman with a family history of breast cancer and the other requires development of a strategy for reducing high-risk pregnancies and risk of AIDS.

  11. Scotland's knowledge network: a progress report on Knowledge into Action.

    PubMed

    Wales, Ann; Boyle, Derek

    2015-11-01

    Launched in 2012, Knowledge into Action is the national knowledge management strategy for the health and social care workforce in Scotland. It is transforming the role of the national digital knowledge service--NHS Education for Scotlands' Knowledge Network--and the NHSS librarian role to offer more active, tailored support for translating knowledge into frontline clinical practice. This includes the development of a national evidence search and summary service, help with converting knowledge into practical and usable formats for easy use at point of care and with using digital tools to share clinicians' learning, experience and expertise. Through this practical support, Knowledge into Action is contributing to quality and safety outcomes across NHS Scotland, building clinicians' capacity and capability in applying knowledge in frontline practice and service improvement.

  12. Scotland's knowledge network: a progress report on Knowledge into Action.

    PubMed

    Wales, Ann; Boyle, Derek

    2015-11-01

    Launched in 2012, Knowledge into Action is the national knowledge management strategy for the health and social care workforce in Scotland. It is transforming the role of the national digital knowledge service--NHS Education for Scotlands' Knowledge Network--and the NHSS librarian role to offer more active, tailored support for translating knowledge into frontline clinical practice. This includes the development of a national evidence search and summary service, help with converting knowledge into practical and usable formats for easy use at point of care and with using digital tools to share clinicians' learning, experience and expertise. Through this practical support, Knowledge into Action is contributing to quality and safety outcomes across NHS Scotland, building clinicians' capacity and capability in applying knowledge in frontline practice and service improvement. PMID:26449922

  13. Knowledge: Genuine and Bogus

    NASA Astrophysics Data System (ADS)

    Bunge, Mario

    2011-05-01

    Pseudoscience is error, substantive or methodological, parading as science. Obvious examples are parapsychology, "intelligent design," and homeopathy. Psychoanalysis and pop evolutionary psychology are less obvious, yet no less flawed in both method and doctrine. The fact that science can be faked to the point of deceiving science lovers suggests the need for a rigorous sifting device, one capable of revealing out the worm in the apple. This device is needed to evaluate research proposal as well as new fashions. Such a device can be designed only with the help of a correct definition of science, one attending not only to methodological aspects, such as testability and predictive power, but also to other features of scientific knowledge, such as intelligibility, corrigibility, and compatibility with the bulk of antecedent knowledge. The aim of this paper is to suggest such a criterion, to illustrate it with a handful of topical examples, and to emphasize the role of philosophy in either promoting or blocking scientific progress. This article is a revised version of a chapter in the author's forthcoming book Matter and Mind (Springer). [The Appendix on inductive logic was written at the request of the editors in order to elaborate claims made in #10 (4).

  14. Knowledge, Informationa and Literacy

    NASA Astrophysics Data System (ADS)

    Roberts, Peter

    2000-09-01

    This paper problematises the notion of the "knowledge society" found in two recent initiatives: the OECD's International Adult Literacy Survey, and the New Zealand Foresight Project. The author supports a broadening of the concept of literacy, as suggested by the OECD reports, but points to some of the limits of "information" as the focus for such a re-definition. The principle of theorising social and economic futures is also endorsed, but the form this takes in the Foresight Project is seen as unnecessarily restrictive. To date, the Foresight Project can be seen as a synthesis of elements of market liberalism and scientific rationalism. Both projects ignore crucial political and ethical questions in their accounts of the "knowledge society" and the process of globalisation, and both are wedded to a technocratic mode of policy development and planning. The author calls for further critical work on changing patterns of literate activity in the information age, and stresses the importance of contemplating futures other than those driven by the imperatives of global capitalism.

  15. Knowledge Management in Higher Education: A Knowledge Repository Approach

    ERIC Educational Resources Information Center

    Wedman, John; Wang, Feng-Kwei

    2005-01-01

    One might expect higher education, where the discovery and dissemination of new and useful knowledge is vital, to be among the first to implement knowledge management practices. Surprisingly, higher education has been slow to implement knowledge management practices (Townley, 2003). This article describes an ongoing research and development effort…

  16. Knowledge Sharing and Global Collaboration on Online Knowledge Exchange Platforms

    ERIC Educational Resources Information Center

    Yu, Yuecheng

    2012-01-01

    This thesis reports on three empirical studies that focus on questions concerning knowledge sharing and construction in communities of practice and global knowledge exchange platforms. The first essay presents an exploratory case study on a particular academic community of practice--AISNET and its central knowledge exchange platform, the ISWorld…

  17. Knowledge Management: Usefulness of Knowledge to Organizational Managers

    ERIC Educational Resources Information Center

    Klein, Roy L.

    2010-01-01

    The purpose of this study was to determine the level of knowledge-usefulness to organizational managers. The determination of the level of usefulness provided organizational managers with a reliable measure of their decision-making. Organizational workers' perceptions of knowledge accessibility, quality of knowledge content, timeliness, and user…

  18. How Pictorial Knowledge Representations Mediate Collaborative Knowledge Construction in Groups

    ERIC Educational Resources Information Center

    Naykki, Piia; Jarvela, Sanna

    2008-01-01

    This study investigates the process of collaborative knowledge construction when technology and pictorial knowledge representations are used for visualizing individual and groups' shared ideas. The focus of the study is on how teacher-students contribute to the group's collaborative knowledge construction and use each other's ideas and tools as an…

  19. Knowledge Building: Reinventing Education for the Knowledge Age

    ERIC Educational Resources Information Center

    Philip, Donald N.

    2011-01-01

    This paper examines the Knowledge Age and how economic factors are causing educators to rethink and reinvent education. Two key factors in education in the Knowledge Age will be education for an economy of innovation, and the increasing virtualization of education. We present knowledge building pedagogy as a model for education in the Knowledge…

  20. The Medawar Lecture 2001 Knowledge for vision: vision for knowledge

    PubMed Central

    Gregory, Richard L

    2005-01-01

    An evolutionary development of perception is suggested—from passive reception to active perception to explicit conception—earlier stages being largely retained and incorporated in later species. A key is innate and then individually learned knowledge, giving meaning to sensory signals. Inappropriate or misapplied knowledge produces rich cognitive phenomena of illusions, revealing normally hidden processes of vision, tentatively classified here in a ‘peeriodic table’. Phenomena of physiology are distinguished from phenomena of general rules and specific object knowledge. It is concluded that vision uses implicit knowledge, and provides knowledge for intelligent behaviour and for explicit conceptual understanding including science. PMID:16147519

  1. Combining factual and heuristic knowledge in knowledge acquisition

    NASA Technical Reports Server (NTRS)

    Gomez, Fernando; Hull, Richard; Karr, Clark; Hosken, Bruce; Verhagen, William

    1992-01-01

    A knowledge acquisition technique that combines heuristic and factual knowledge represented as two hierarchies is described. These ideas were applied to the construction of a knowledge acquisition interface to the Expert System Analyst (OPERA). The goal of OPERA is to improve the operations support of the computer network in the space shuttle launch processing system. The knowledge acquisition bottleneck lies in gathering knowledge from human experts and transferring it to OPERA. OPERA's knowledge acquisition problem is approached as a classification problem-solving task, combining this approach with the use of factual knowledge about the domain. The interface was implemented in a Symbolics workstation making heavy use of windows, pull-down menus, and other user-friendly devices.

  2. Reducing the Knowledge Tracing Space

    ERIC Educational Resources Information Center

    Ritter, Steven; Harris, Thomas K.; Nixon, Tristan; Dickison, Daniel; Murray, R. Charles; Towle, Brendon

    2009-01-01

    In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-parameter model developed by Corbett and Anderson [Nb]. In this paper, we investigate the nature of the parameter space defined by these four parameters by modeling data…

  3. Ways with Community Knowledge. PEN.

    ERIC Educational Resources Information Center

    Nelson, Greg

    Families and communities have enormous resources of knowledge around them that they use in their daily lives. Teachers may overlook or devalue these "funds of knowledge." Students, however, can benefit when teachers draw on community knowledge. Educationists advocate for the integration of subjects so that school curriculum is more relevant and…

  4. Problem solving with uncertain knowledge

    NASA Technical Reports Server (NTRS)

    Buchanan, B.

    1980-01-01

    Systems capable of expert level performance are built. The system represents domain-specific knowledge such as knowledge about geology, medicine, etc., and enables a process in which it uses such knowledge in an understandable line of reasoning. The MYCIN system, one example of such a system, is used as illustration.

  5. [Rediscovering practical knowledge in nursing].

    PubMed

    Medina Moya, José Luis

    2005-01-01

    The author demythologizes some arguments which blamed the victim and he works on the path to rediscover practical knowledge in nursing in the sense that a nurse becomes a "constructor" or a "maker" of knowledge and not a mere applicator of knowledge. PMID:16130684

  6. Internationalization of Social Science Knowledge.

    ERIC Educational Resources Information Center

    Smelser, Neil J.

    1991-01-01

    Explores conditions that facilitate or obstruct the internationalization of social science knowledge. Distinguishes among facets and types of knowledge and meanings of internationalization. Illustrates the international applicability of knowledge through examinations of classical economics and development theory. Identifies conflicting forces that…

  7. [Knowledge management and healthcare organizations].

    PubMed

    Favaretti, Carlo

    2013-10-01

    The present scenario is characterized by a high "environmental turbulence". Healthcare professionals and organizations must increase their knowledge, skills and attitudes for choosing wisely. Healthcare organizations are complex adaptive systems which should use integrated governance systems: knowledge management should be a strategic goal. These organizations should become learning organizations: they should build and renovate their knowledge in a systematic, explicit and definite way.

  8. Challenges in Measuring Teachers' Knowledge

    ERIC Educational Resources Information Center

    Fauskanger, Janne

    2015-01-01

    Mathematical knowledge for teaching (MKT) measures have been widely adopted by researchers. Critics have debated the value of such measures and questioned the type of knowledge that these access. This article reports on a study where the challenges in measuring teachers' knowledge were illuminated through investigating relationships between the…

  9. Teacher Knowledge: A Complex Tapestry

    ERIC Educational Resources Information Center

    Adoniou, Misty

    2015-01-01

    Teachers need to know a great deal, in many areas and in multiple ways. Teacher knowledge is a complex tapestry, and teachers must successfully weave the multiple threads. In this article, I present a conceptualisation of teacher knowledge that provides a framework for describing the complexity of teacher knowledge. The framework describes three…

  10. Knowledge Creation in Nursing Education

    PubMed Central

    Hassanian, Zahra Marzieh; Ahanchian, Mohammad Reza; Ahmadi, Suleiman; Gholizadeh, Rezvan Hossein; Karimi-Moonaghi, Hossein

    2015-01-01

    In today’s society, knowledge is recognized as a valuable social asset and the educational system is in search of a new strategy that allows them to construct their knowledge and experience. The purpose of this study was to explore the process of knowledge creation in nursing education. In the present study, the grounded theory approach was used. This method provides a comprehensive approach to collecting, organizing, and analyzing data. Data were obtained through 17 semi-structured interviews with nursing faculties and nursing students. Purposeful and theoretical sampling was conducted. Based on the method of Strauss and Corbin, the data were analyzed using fragmented, deep, and constant-comparative methods. The main categories included striving for growth and reduction of ambiguity, use of knowledge resources, dynamism of mind and social factors, converting knowledge, and creating knowledge. Knowledge was converted through mind processes, individual and group reflection, praxis and research, and resulted in the creation of nursing knowledge. Discrete nursing knowledge is gained through disconformity research in order to gain more individual advantages. The consequence of this analysis was gaining new knowledge. Knowledge management must be included in the mission and strategic planning of nursing education, and it should be planned through operational planning in order to create applicable knowledge. PMID:25716383

  11. Knowledge Navigation for Virtual Vehicles

    NASA Technical Reports Server (NTRS)

    Gomez, Julian E.

    2004-01-01

    A virtual vehicle is a digital model of the knowledge surrounding a potentially real vehicle. Knowledge consists not only of the tangible information, such as CAD, but also what is known about the knowledge - its metadata. This paper is an overview of technologies relevant to building a virtual vehicle, and an assessment of how to bring those technologies together.

  12. Gender, Mentoring, and Tacit Knowledge.

    ERIC Educational Resources Information Center

    Horgan, Dianne D.; Simeon, Rebecca J.

    Practical or "tacit" knowledge has been argued to be critical for managerial success. Mentoring may be one way in which tacit knowledge is learned. This study examined the relationships of tacit knowledge, mentoring, gender, and competence. Subjects were managers (N=57) in a southern city. No significant gender differences were found on any of the…

  13. Powerful Knowledge and Geographical Education

    ERIC Educational Resources Information Center

    Roberts, Margaret

    2014-01-01

    Michael Young has argued that pupils should be given access to "powerful knowledge." This article examines the extent to which his concept of powerful knowledge is applicable to geographical education, in particular to the study of urban geography. It explores the distinction Young makes between everyday and school knowledge, how this…

  14. Knowledge Construction in Critical Ethnography.

    ERIC Educational Resources Information Center

    Adkins, Amee; Gunzenhauser, Michael G.

    1999-01-01

    Explores the grounding of cultural critique in ethnography as a process of knowledge construction, using concepts from philosophy, anthropology, and sociology of knowledge to identify a theory of knowledge that may inform a postcritical ethnography. The paper proposes a critical ethnography that is more authentic both to its wider social project…

  15. Knowledge Acquisition in Observational Astronomy.

    ERIC Educational Resources Information Center

    Vosniadou, Stella

    This paper presents findings from research on knowledge acquisition in observational astronomy to demonstrate the kinds of intuitive models children form and to show how these models influence the acquisition of science knowledge. Sixty children of approximate ages 6, 9, and 12 were given a questionnaire to investigate their knowledge of the size,…

  16. Robust automated knowledge capture.

    SciTech Connect

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  17. Characterization of GM events by insert knowledge adapted re-sequencing approaches.

    PubMed

    Yang, Litao; Wang, Congmao; Holst-Jensen, Arne; Morisset, Dany; Lin, Yongjun; Zhang, Dabing

    2013-01-01

    Detection methods and data from molecular characterization of genetically modified (GM) events are needed by stakeholders of public risk assessors and regulators. Generally, the molecular characteristics of GM events are incomprehensively revealed by current approaches and biased towards detecting transformation vector derived sequences. GM events are classified based on available knowledge of the sequences of vectors and inserts (insert knowledge). Herein we present three insert knowledge-adapted approaches for characterization GM events (TT51-1 and T1c-19 rice as examples) based on paired-end re-sequencing with the advantages of comprehensiveness, accuracy, and automation. The comprehensive molecular characteristics of two rice events were revealed with additional unintended insertions comparing with the results from PCR and Southern blotting. Comprehensive transgene characterization of TT51-1 and T1c-19 is shown to be independent of a priori knowledge of the insert and vector sequences employing the developed approaches. This provides an opportunity to identify and characterize also unknown GM events. PMID:24088728

  18. Characterization of GM events by insert knowledge adapted re-sequencing approaches

    PubMed Central

    Yang, Litao; Wang, Congmao; Holst-Jensen, Arne; Morisset, Dany; Lin, Yongjun; Zhang, Dabing

    2013-01-01

    Detection methods and data from molecular characterization of genetically modified (GM) events are needed by stakeholders of public risk assessors and regulators. Generally, the molecular characteristics of GM events are incomprehensively revealed by current approaches and biased towards detecting transformation vector derived sequences. GM events are classified based on available knowledge of the sequences of vectors and inserts (insert knowledge). Herein we present three insert knowledge-adapted approaches for characterization GM events (TT51-1 and T1c-19 rice as examples) based on paired-end re-sequencing with the advantages of comprehensiveness, accuracy, and automation. The comprehensive molecular characteristics of two rice events were revealed with additional unintended insertions comparing with the results from PCR and Southern blotting. Comprehensive transgene characterization of TT51-1 and T1c-19 is shown to be independent of a priori knowledge of the insert and vector sequences employing the developed approaches. This provides an opportunity to identify and characterize also unknown GM events. PMID:24088728

  19. Knowledge-based real-space explorations for low-resolution structure determination.

    PubMed

    Furnham, Nicholas; Doré, Andrew S; Chirgadze, Dimitri Y; de Bakker, Paul I W; Depristo, Mark A; Blundell, Tom L

    2006-08-01

    The accurate and effective interpretation of low-resolution data in X-ray crystallography is becoming increasingly important as structural initiatives turn toward large multiprotein complexes. Substantial challenges remain due to the poor information content and ambiguity in the interpretation of electron density maps at low resolution. Here, we describe a semiautomated procedure that employs a restraint-based conformational search algorithm, RAPPER, to produce a starting model for the structure determination of ligase interacting factor 1 in complex with a fragment of DNA ligase IV at low resolution. The combined use of experimental data and a priori knowledge of protein structure enabled us not only to generate an all-atom model but also to reaffirm the inferred sequence registry. This approach provides a means to extract quickly from experimental data useful information that would otherwise be discarded and to take into account the uncertainty in the interpretation--an overriding issue for low-resolution data.

  20. Knowledge Exchange in the Shrines of Knowledge: The ''How's'' and ''Where's'' of Knowledge Sharing Processes

    ERIC Educational Resources Information Center

    Reychav, Iris; Te'eni, Dov

    2009-01-01

    Academic conferences are places of situated learning dedicated to the exchange of knowledge. Knowledge is exchanged between colleagues who are looking to enhance their future research by taking part in several formal and informal settings (lectures, discussions and social events). We studied the processes of knowledge sharing and the influence of…

  1. Digging for knowledge

    NASA Astrophysics Data System (ADS)

    Szu, Harold; Jenkins, Jeffrey; Hsu, Charles; Goehl, Steve; Miao, Liden; Cader, Masud; Benachenhou, Dalila

    2009-04-01

    The "smile of a mother" is always recognized, whenever and wherever. But why is my PC always dumb and unable to recognize me or my needs, whoever or whatever? This paper postulates that such a 6 W's query and search system needs matching storage. Such a lament will soon be mended with a smarter PC, or a smarter Google engine, a network computer, working in the field of data retrieval, feature extraction, reduction, and knowledge precipitation. Specifically, the strategy of modern information storage and retrieval shall work like our brains, which are constantly overwhelmed by 5 pairs of identical tapes taken by eyes, ears, etc. 5 high fidelity sensors generate 5 pairs of high definition tapes which produce the seeing and hearing etc. in our perception. This amounts to 10 tapes recorded in a non-abridged fashion. How can we store and retrieve them when we need to? We must reduce the redundancy, enhancing the signal noise ratio, and fusing invariant features using a simple set of mathematical operations to write according to the union and read by the intersection in the higher dimensional vector space. For example, (see paper for equation) where the query must be phrased in terms of the union of imprecise or partial set of 6w's denoted by the union of lower case w's. The upper case W's are the archival storage of a primer tree. A simplified humanistic representation may be called the 6W space (who, what, where, when, why, how), also referred to as the Newspaper geometry. It seems like mapping the 6W to the 3W (World Wide Web) is becoming relatively easier. It may thus become efficient and robust by rapidly digging for knowledge through the set operations of union, writing, and intersection, reading, upon the design of 6 W query searching engine matched efficiently by the 6W vector index databases. In fact, Newspaper 6D geometry may be reduced furthermore by PCA (Principal Component Analysis) eigenvector mathematics and mapped into the 2D causality space comprised of

  2. Subjective measures of unconscious knowledge.

    PubMed

    Dienes, Zoltán

    2008-01-01

    The chapter gives an overview of the use of subjective measures of unconscious knowledge. Unconscious knowledge is knowledge we have, and could very well be using, but we are not aware of. Hence appropriate methods for indicating unconscious knowledge must show that the person (a) has knowledge but (b) does not know that she has it. One way of determining awareness of knowing is by taking confidence ratings after making judgments. If the judgments are above baseline but the person believes they are guessing (guessing criterion) or confidence does not relate to accuracy (zero-correlation criterion) there is evidence of unconscious knowledge. The way these methods can deal with the problem of bias is discussed, as is the use of different types of confidence scales. The guessing and zero-correlation criteria show whether or not the person is aware of knowing the content of the judgment, but not whether the person is aware of what any knowledge was that enabled the judgment. Thus, a distinction is made between judgment and structural knowledge, and it is shown how the conscious status of the latter can also be assessed. Finally, the use of control over the use of knowledge as a subjective measure of judgment knowledge is illustrated. Experiments using artificial grammar learning and a serial reaction time task explore these issues.

  3. Representing geometrical knowledge.

    PubMed Central

    Anderson, J A

    1997-01-01

    This paper introduces perspex algebra which is being developed as a common representation of geometrical knowledge. A perspex can currently be interpreted in one of four ways. First, the algebraic perspex is a generalization of matrices, it provides the most general representation for all of the interpretations of a perspex. The algebraic perspex can be used to describe arbitrary sets of coordinates. The remaining three interpretations of the perspex are all related to square matrices and operate in a Euclidean model of projective space-time, called perspex space. Perspex space differs from the usual Euclidean model of projective space in that it contains the point at nullity. It is argued that the point at nullity is necessary for a consistent account of perspective in top-down vision. Second, the geometric perspex is a simplex in perspex space. It can be used as a primitive building block for shapes, or as a way of recording landmarks on shapes. Third, the transformational perspex describes linear transformations in perspex space that provide the affine and perspective transformations in space-time. It can be used to match a prototype shape to an image, even in so called 'accidental' views where the depth of an object disappears from view, or an object stays in the same place across time. Fourth, the parametric perspex describes the geometric and transformational perspexes in terms of parameters that are related to everyday English descriptions. The parametric perspex can be used to obtain both continuous and categorical perception of objects. The paper ends with a discussion of issues related to using a perspex to describe logic. PMID:9304680

  4. [Knowledge management and healthcare organizations].

    PubMed

    Favaretti, Carlo

    2013-10-01

    The present scenario is characterized by a high "environmental turbulence". Healthcare professionals and organizations must increase their knowledge, skills and attitudes for choosing wisely. Healthcare organizations are complex adaptive systems which should use integrated governance systems: knowledge management should be a strategic goal. These organizations should become learning organizations: they should build and renovate their knowledge in a systematic, explicit and definite way. PMID:24326705

  5. Relations among conceptual knowledge, procedural knowledge, and procedural flexibility in two samples differing in prior knowledge.

    PubMed

    Schneider, Michael; Rittle-Johnson, Bethany; Star, Jon R

    2011-11-01

    Competence in many domains rests on children developing conceptual and procedural knowledge, as well as procedural flexibility. However, research on the developmental relations between these different types of knowledge has yielded unclear results, in part because little attention has been paid to the validity of the measures or to the effects of prior knowledge on the relations. To overcome these problems, we modeled the three constructs in the domain of equation solving as latent factors and tested (a) whether the predictive relations between conceptual and procedural knowledge were bidirectional, (b) whether these interrelations were moderated by prior knowledge, and (c) how both constructs contributed to procedural flexibility. We analyzed data from 2 measurement points each from two samples (Ns = 228 and 304) of middle school students who differed in prior knowledge. Conceptual and procedural knowledge had stable bidirectional relations that were not moderated by prior knowledge. Both kinds of knowledge contributed independently to procedural flexibility. The results demonstrate how changes in complex knowledge structures contribute to competence development.

  6. Piaget's Critique of Pure Knowledge.

    ERIC Educational Resources Information Center

    Falikowski, Anthony

    1980-01-01

    Piaget's theory of cognitive developmental levels is criticized on the grounds that it blends empirical and philosophical issues of knowledge and, therefore, confuses genetic psychology and epistemology. (JN)

  7. Increase Productivity Through Knowledge Management

    NASA Astrophysics Data System (ADS)

    Gavrikova, N. A.; Dolgih, I. N.; Dyrina, E. N.

    2016-04-01

    Increase in competition level requires companies to improve the efficiency of work force use characterized by labor productivity. Professional knowledge of staff and its experience play the key role in it. The results of Extrusion Line operator’s working time analysis are performed in this article. The analysis revealed that the reasons of working time ineffective use connected with inadequate information exchange and knowledge management in the company. Authors suggest the way to solve this problem: the main sources of knowledge in engineering enterprise have been defined, the conditions of success and the stages of knowledge management control have been stated.

  8. Knowledge acquisition for autonomous systems

    NASA Technical Reports Server (NTRS)

    Lum, Henry; Heer, Ewald

    1988-01-01

    Knowledge-based capabilities for autonomous aerospace systems, such as the NASA Space Station, must encompass conflict-resolution functions comparable to those of human operators, with all elements of the system working toward system goals in a concurrent, asynchronous-but-coordinated fashion. Knowledge extracted from a design database will support robotic systems by furnishing geometric, structural, and causal descriptions required for repair, disassembly, and assembly. The factual knowledge for these databases will be obtained from a master database through a technical management information system, and it will in many cases have to be augmented by domain-specific heuristic knowledge acquired from domain experts.

  9. Knowledge translation of research findings

    PubMed Central

    2012-01-01

    Background One of the most consistent findings from clinical and health services research is the failure to translate research into practice and policy. As a result of these evidence-practice and policy gaps, patients fail to benefit optimally from advances in healthcare and are exposed to unnecessary risks of iatrogenic harms, and healthcare systems are exposed to unnecessary expenditure resulting in significant opportunity costs. Over the last decade, there has been increasing international policy and research attention on how to reduce the evidence-practice and policy gap. In this paper, we summarise the current concepts and evidence to guide knowledge translation activities, defined as T2 research (the translation of new clinical knowledge into improved health). We structure the article around five key questions: what should be transferred; to whom should research knowledge be transferred; by whom should research knowledge be transferred; how should research knowledge be transferred; and, with what effect should research knowledge be transferred? Discussion We suggest that the basic unit of knowledge translation should usually be up-to-date systematic reviews or other syntheses of research findings. Knowledge translators need to identify the key messages for different target audiences and to fashion these in language and knowledge translation products that are easily assimilated by different audiences. The relative importance of knowledge translation to different target audiences will vary by the type of research and appropriate endpoints of knowledge translation may vary across different stakeholder groups. There are a large number of planned knowledge translation models, derived from different disciplinary, contextual (i.e., setting), and target audience viewpoints. Most of these suggest that planned knowledge translation for healthcare professionals and consumers is more likely to be successful if the choice of knowledge translation strategy is informed by

  10. Knowledge typology for imprecise probabilities.

    SciTech Connect

    Wilson, G. D.; Zucker, L. J.

    2002-01-01

    When characterizing the reliability of a complex system there are often gaps in the data available for specific subsystems or other factors influencing total system reliability. At Los Alamos National Laboratory we employ ethnographic methods to elicit expert knowledge when traditional data is scarce. Typically, we elicit expert knowledge in probabilistic terms. This paper will explore how we might approach elicitation if methods other than probability (i.e., Dempster-Shafer, or fuzzy sets) prove more useful for quantifying certain types of expert knowledge. Specifically, we will consider if experts have different types of knowledge that may be better characterized in ways other than standard probability theory.

  11. Acquisition of Simple and Complex Knowledge; A Knowledge Gap Perspective

    ERIC Educational Resources Information Center

    Le Heron, Judy; Sligo, Frank

    2005-01-01

    This paper assesses university students' acquisition of simple and complex knowledge, in exploring whether the knowledge gap hypothesis (KGH) with its origins in community-based research into people's informal learning from mass media, provides insights into students' acquisition and retention of information. The KGH posits that attempts to…

  12. Epistemologies of Situated Knowledges: "Troubling" Knowledge in Philosophy of Education

    ERIC Educational Resources Information Center

    Lang, James C.

    2011-01-01

    Epistemologies of situated knowledges, advanced by scholars such as Donna Haraway, Lorraine Code, and Maureen Ford, challenge mainstream epistemology's claim to be the gold standard in determining what counts as knowledge. In this essay, James Lang uses the work of these and other feminist theorists to explicate the notion of situated knowledges…

  13. Research on knowledge representation, machine learning, and knowledge acquisition

    NASA Technical Reports Server (NTRS)

    Buchanan, Bruce G.

    1987-01-01

    Research in knowledge representation, machine learning, and knowledge acquisition performed at Knowledge Systems Lab. is summarized. The major goal of the research was to develop flexible, effective methods for representing the qualitative knowledge necessary for solving large problems that require symbolic reasoning as well as numerical computation. The research focused on integrating different representation methods to describe different kinds of knowledge more effectively than any one method can alone. In particular, emphasis was placed on representing and using spatial information about three dimensional objects and constraints on the arrangement of these objects in space. Another major theme is the development of robust machine learning programs that can be integrated with a variety of intelligent systems. To achieve this goal, learning methods were designed, implemented and experimented within several different problem solving environments.

  14. A knowledge base architecture for distributed knowledge agents

    NASA Technical Reports Server (NTRS)

    Riedesel, Joel; Walls, Bryan

    1990-01-01

    A tuple space based object oriented model for knowledge base representation and interpretation is presented. An architecture for managing distributed knowledge agents is then implemented within the model. The general model is based upon a database implementation of a tuple space. Objects are then defined as an additional layer upon the database. The tuple space may or may not be distributed depending upon the database implementation. A language for representing knowledge and inference strategy is defined whose implementation takes advantage of the tuple space. The general model may then be instantiated in many different forms, each of which may be a distinct knowledge agent. Knowledge agents may communicate using tuple space mechanisms as in the LINDA model as well as using more well known message passing mechanisms. An implementation of the model is presented describing strategies used to keep inference tractable without giving up expressivity. An example applied to a power management and distribution network for Space Station Freedom is given.

  15. School Principals' Sources of Knowledge

    ERIC Educational Resources Information Center

    Perkins, Arland Early

    2014-01-01

    The purpose of this study was to determine what sources of professional knowledge are available to principals in 1 rural East Tennessee school district. Qualitative research methods were applied to gain an understanding of what sources of knowledge are used by school principals in 1 rural East Tennessee school district and the barriers they face…

  16. Knowledge Economy and Research Innovation

    ERIC Educational Resources Information Center

    Bastalich, Wendy

    2010-01-01

    The "knowledge economy" has been received with considerable scepticism by scholars within the fields of political economy, social and political philosophy, and higher education. Key arguments within this literature are reviewed in this article to suggest that, despite policy claims, "knowledge economy" does not describe a "new" mode of economic…

  17. Menarche: Prior Knowledge and Experience.

    ERIC Educational Resources Information Center

    Skandhan, K. P.; And Others

    1988-01-01

    Recorded menstruation information among 305 young women in India, assessing the differences between those who did and did not have knowledge of menstruation prior to menarche. Those with prior knowledge considered menarche to be a normal physiological function and had a higher rate of regularity, lower rate of dysmenorrhea, and earlier onset of…

  18. The Importance of Prior Knowledge.

    ERIC Educational Resources Information Center

    Cleary, Linda Miller

    1989-01-01

    Recounts a college English teacher's experience of reading and rereading Noam Chomsky, building up a greater store of prior knowledge. Argues that Frank Smith provides a theory for the importance of prior knowledge and Chomsky's work provided a personal example with which to interpret and integrate that theory. (RS)

  19. Knowledge Sharing: Developing from within

    ERIC Educational Resources Information Center

    Patrick, Keith; Dotsika, Fefie

    2007-01-01

    Purpose: If collaboration and knowledge sharing lie at the core of providing added-value to either services or products can we improve this process? The purpose of this paper is to suggest that it can be improved and this lies in how we develop the systems that support collaboration and knowledge sharing. This can be achieved within the…

  20. The KMAT: Benchmarking Knowledge Management.

    ERIC Educational Resources Information Center

    de Jager, Martha

    Provides an overview of knowledge management and benchmarking, including the benefits and methods of benchmarking (e.g., competitive, cooperative, collaborative, and internal benchmarking). Arthur Andersen's KMAT (Knowledge Management Assessment Tool) is described. The KMAT is a collaborative benchmarking tool, designed to help organizations make…

  1. Experiencing Collaborative Knowledge Creation Processes

    ERIC Educational Resources Information Center

    Jakubik, Maria

    2008-01-01

    Purpose: How people learn and create knowledge together through interactions in communities of practice (CoPs) is not fully understood. The purpose of this paper is to create and apply a model that could increase participants' consciousness about knowledge creation processes. Design/methodology/approach: This four-month qualitative research was…

  2. Delimiting Knowledge Transfer from Training

    ERIC Educational Resources Information Center

    Butler, Allan; Le Grice, Phil; Reed, Matt

    2006-01-01

    Purpose: The purpose of this paper is to deepen the understanding of how and to whom knowledge is transferred from training to practice. Design/methodology/approach: Through recognising the interrelationship between knowledge, social network structure, and relational trust, social network methodology is applied to examine the importance of…

  3. Knowledge Management in Academic Institutions

    ERIC Educational Resources Information Center

    Adhikari, Dev Raj

    2010-01-01

    Purpose: The purpose of this paper is to present a concept of knowledge among the campus chiefs and other university leaders to make them aware of how important knowledge management (KM) is to achieve quality education criteria. Design/methodology/approach: The approach of the article is basically conceptual and descriptive. The article was…

  4. Handbook for Driving Knowledge Testing.

    ERIC Educational Resources Information Center

    Pollock, William T.; McDole, Thomas L.

    Materials intended for driving knowledge test development for use by operational licensing and education agencies are presented. A pool of 1,313 multiple choice test items is included, consisting of sets of specially developed and tested items covering principles of safe driving, legal regulations, and traffic control device knowledge pertinent to…

  5. Biomedical Knowledge and Clinical Expertise.

    ERIC Educational Resources Information Center

    Boshuizen, Henny P. A.; Schmidt, Henk G.

    A study examined the application and availability of clinical and biomedical knowledge in the clinical reasoning of physicians as well as possible mechanisms responsible for changes in the organization of clinical and biomedical knowledge in the development from novice to expert. Subjects were 28 students (10 second year, 8 fourth year, and 10…

  6. Strategies for Mentoring Pedagogical Knowledge

    ERIC Educational Resources Information Center

    Hudson, Peter

    2013-01-01

    Fundamental for mentoring a preservice teacher is the mentor's articulation of pedagogical knowledge, which in this research draws upon specific practices, viz.: planning, timetabling lessons, preparation, teaching strategies, content knowledge, problem solving, questioning, classroom management, implementation, assessment and viewpoints for…

  7. Can Children Really Create Knowledge?

    ERIC Educational Resources Information Center

    Bereiter, Carl; Scardamalia, Marlene

    2010-01-01

    Can children genuinely create new knowledge, as opposed to merely carrying out activities that resemble those of mature scientists and innovators? The answer is yes, provided the comparison is not to works of genius but to standards that prevail in ordinary research communities. One important product of knowledge creation is concepts and tools…

  8. School Teachers' Knowledge of AIDS.

    ERIC Educational Resources Information Center

    Robison, Van; Spangler, Tracy

    A survey was conducted of 100 elementary and secondary teachers in northwestern Ohio concerning their knowledge of acquired immunodeficiency syndrome (AIDS). Results indicated a lack of basic knowledge of AIDS among the majority of respondents, with a mean score of 14 out of 21 points (67 percent). Several of the most frequently missed questions…

  9. Geographical Knowledge of University Students.

    ERIC Educational Resources Information Center

    Wood, Robert W.; And Others

    In order to obtain information on the status of geographical knowledge possessed by University of South Dakota (Vermillion) students, a geography survey designed to determine specific knowledge about the locations of bodies of water, countries, and cities was conducted. One map was used for identifying cities, while the second was used for…

  10. Teacher Guidance of Knowledge Construction

    ERIC Educational Resources Information Center

    Schwarz, Baruch; Dreyfus, Tommy; Hadas, Nurit; Hershkowitz, Rina

    2004-01-01

    This paper focuses on how teachers guide construction of knowledge in classrooms. We suggest that guidance hinges on the kind of dialogue teachers choose to engage students in. We propose several classroom dialogue types relevant for the construction of knowledge and suggest that critical dialogue is particularly effective for knowledge…

  11. How Is Vocational Knowledge Recontextualised?

    ERIC Educational Resources Information Center

    Hordern, Jim

    2014-01-01

    This paper sets out to examine how vocational knowledge is recontextualised in curricula, pedagogy and workplaces, by learners, and to ensure the availability of valuable and relevant knowledge for vocational practice. Starting from Bernstein's notion of recontextualisation, and with reference to literature in the sociology of educational…

  12. Knowledge Infrastructures for Solar Cities

    ERIC Educational Resources Information Center

    Vanderburg, Willem H.

    2006-01-01

    The evolution of contemporary cities into solar cities will be affected by the decisions of countless specialists according to an established intellectual and professional division of labor. These specialists belong to groups responsible for advancing and applying a body of knowledge, and jointly, these bodies of knowledge make up a knowledge…

  13. Re-Energising Subject Knowledge

    ERIC Educational Resources Information Center

    Hopkin, John

    2012-01-01

    The value of knowledge and the role of subjects in the school curriculum have been widely questioned in recent years, often portrayed as old-fashioned and irrelevant, especially in the face of a fast-changing global economy. This article argues that this is both limited in its view of the potential of knowledge and subjects, and limiting for those…

  14. Ontological Knowledge and Sentence Anomaly.

    ERIC Educational Resources Information Center

    Gerard, Anthony B.; Mandler, Jean M.

    1983-01-01

    Discusses attempt to replicate and extend Keil's study of effects of ontological knowledge on judgments of sentence acceptability (indicating there is hierarchical one-to-one mapping of predicate-term relations of language onto the basic structure of knowledge). New data does not support Keil but suggests that range of sentence interpretation…

  15. Pursuing the Depths of Knowledge

    ERIC Educational Resources Information Center

    Boyles, Nancy

    2016-01-01

    Today's state literacy standards and assessments demand deeper levels of knowledge from students. But many teachers ask, "What does depth of knowledge look like on these new, more rigorous assessments? How do we prepare students for this kind of thinking?" In this article, Nancy Boyles uses a sampling of questions from the PARCC and SBAC…

  16. Designing the Knowledge Integration Environment.

    ERIC Educational Resources Information Center

    Linn, Marcia C.

    2000-01-01

    Explains Knowledge Integration Environment (KIE) activities which are designed to promote lifelong science learning. Describes the partnership process that guided the design as well as the Scaffolded Knowledge Integration (SKI) framework that gave the partnership a head start on creating effective materials. (Contains 52 references.) (Author/YDS)

  17. Knowledge Representation: A Brief Review.

    ERIC Educational Resources Information Center

    Vickery, B. C.

    1986-01-01

    Reviews different structures and techniques of knowledge representation: structure of database records and files, data structures in computer programming, syntatic and semantic structure of natural language, knowledge representation in artificial intelligence, and models of human memory. A prototype expert system that makes use of some of these…

  18. The Relationship between Immediate Relevant Basic Science Knowledge and Clinical Knowledge: Physiology Knowledge and Transthoracic Echocardiography Image Interpretation

    ERIC Educational Resources Information Center

    Nielsen, Dorte Guldbrand; Gotzsche, Ole; Sonne, Ole; Eika, Berit

    2012-01-01

    Two major views on the relationship between basic science knowledge and clinical knowledge stand out; the Two-world view seeing basic science and clinical science as two separate knowledge bases and the encapsulated knowledge view stating that basic science knowledge plays an overt role being encapsulated in the clinical knowledge. However, resent…

  19. [Intuitive knowledge in nursing care].

    PubMed

    da Silva, Alcione Leite; Baldin, Sonciarai Martins; do Nascimento, Keyla Cristiane

    2003-01-01

    This is a qualitative study in a descriptive exploratory approach with the purpose to characterize the intuitive knowledge in nursing care. The qualitative data were generated through semi-structured interviews with 87 nursing professionals. The analysis of the data was done using QSR Vivo and interpreted through a framework based on studies of the North-American nursing literature. Intuition emerged as a feeling, as a type of knowledge, and as both. Further analysis showed three defining attributes: 1) knowledge of a fact or the truth, as a whole; 2) immediate possession of knowledge; 3) knowledge independent from linear reasoning process, as well as three types of intuition: cognitive inference, gestalt intuition, and precognitive function. The result of this study shows a parallel with the others found in North-American nursing literature. PMID:14595966

  20. Outcome Knowledge and False Belief

    PubMed Central

    Ghrear, Siba E.; Birch, Susan A. J.; Bernstein, Daniel M.

    2016-01-01

    Virtually every social interaction involves reasoning about the perspectives of others, or ‘theory of mind (ToM).’ Previous research suggests that it is difficult to ignore our current knowledge when reasoning about a more naïve perspective (i.e., the curse of knowledge). In this Mini Review, we discuss the implications of the curse of knowledge for certain aspects of ToM. Particularly, we examine how the curse of knowledge influences key measurements of false belief reasoning. In closing, we touch on the need to develop new measurement tools to discern the mechanisms involved in the curse of knowledge and false belief reasoning, and how they develop across the lifespan. PMID:26903922

  1. Social Web and Knowledge Management

    NASA Astrophysics Data System (ADS)

    Dolog, Peter; Krötzsch, Markus; Schaffert, Sebastian; Vrandečić, Denny

    Knowledge Management is the study and practice of representing, communicating, organizing, and applying knowledge in organizations. Moreover, being used by organizations, it is inherently social. The Web, as a medium, enables new forms of communications and interactions and requires new ways to represent knowledge assets. It is therefore obvious that the Web will influence and change Knowledge Management, but it is very unclear what the impact of these changes will be. This chapter raises questions and discusses visions in the area that connects the Social Web and Knowledge Management - an area of research that is only just emerging. The World Wide Web conference 2008 in Beijing hosted a workshop on that question, bringing together researchers and practitioners to gain first insights toward answering questions of that area.

  2. Applying the knowledge to action framework to plan a strategy for implementing breast cancer screening guidelines: an interprofessional perspective.

    PubMed

    Munce, Sarah; Kastner, Monika; Cramm, Heidi; Lal, Shalini; Deschêne, Sarah-Maude; Auais, Mohammad; Stacey, Dawn; Brouwers, Melissa

    2013-09-01

    Integrated knowledge translation (IKT) interventions may be one solution to improving the uptake of clinical guidelines. IKT research initiatives are particularly relevant for breast cancer research and initiatives targeting the implementation of clinical guidelines and guideline implementation initiatives, where collaboration with an interdisciplinary team of practitioners, patients, caregivers, and policy makers is needed for producing optimum patient outcomes. The objective of this paper was to describe the process of developing an IKT strategy that could be used by guideline developers to improve the uptake of their new clinical practice guidelines on breast cancer screening. An interprofessional group of students as well as two faculty members met six times over three days at the KT Canada Summer Institute in 2011. The team used all of the phases of the action cycle in the Knowledge to Action Framework as an organizing framework. While the entire framework was used, the step involving assessing barriers to knowledge use was judged to be particularly relevant in anticipating implementation problems and being able to inform the specific KT interventions that would be appropriate to mitigate these challenges and to accomplish goals and outcomes. This activity also underscored the importance of group process and teamwork in IKT. We propose that an a priori assessment of barriers to knowledge use (i.e., level and corresponding barriers), along with the other phases of the Knowledge to Action Framework, is a strategic approach for KT strategy development, implementation, and evaluation planning and could be used in the future planning of KT strategies.

  3. Harnessing Collective Knowledge Inherent in Tag Clouds

    ERIC Educational Resources Information Center

    Cress, U.; Held, C.

    2013-01-01

    Tagging systems represent the conceptual knowledge of a community. We experimentally tested whether people harness this collective knowledge when navigating through the Web. As a within-factor we manipulated people's prior knowledge (no knowledge vs. prior knowledge that was congruent/incongruent to the collective knowledge inherent in the tags).…

  4. Contributing Knowledge and Knowledge Workers: The Role of Chinese Universities in the Knowledge Economy

    ERIC Educational Resources Information Center

    Chen, Shuang-Ye

    2012-01-01

    As China has appeared only recently as an important knowledge producer with growing global economic significance, little is known internationally about how these processes develop and are managed within China. The rapidly expanding Chinese higher education system is playing an increasingly important role in China's knowledge economy and therefore…

  5. Psychological tools for knowledge acquisition

    NASA Technical Reports Server (NTRS)

    Rueter, Henry H.; Olson, Judith Reitman

    1988-01-01

    Knowledge acquisition is said to be the biggest bottleneck in the development of expert systems. The problem is getting the knowledge out of the expert's head and into a computer. In cognitive psychology, characterizing metal structures and why experts are good at what they do is an important research area. Is there some way that the tools that psychologists have developed to uncover mental structure can be used to benefit knowledge engineers? We think that the way to find out is to browse through the psychologist's toolbox to see what there is in it that might be of use to knowledge engineers. Expert system developers have relied on two standard methods for extracting knowledge from the expert: (1) the knowledge engineer engages in an intense bout of interviews with the expert or experts, or (2) the knowledge engineer becomes an expert himself, relying on introspection to uncover the basis of his own expertise. Unfortunately, these techniques have the difficulty that often the expert himself isn't consciously aware of the basis of his expertise. If the expert himself isn't conscious of how he solves problems, introspection is useless. Cognitive psychology has faced similar problems for many years and has developed exploratory methods that can be used to discover cognitive structure from simple data.

  6. The search for knowledge and the avoidance of knowledge.

    PubMed

    Waska, Robert

    2007-01-01

    In the psychoanalytic setting, patients can develop a strong reaction to the therapeutic opportunity to gain new knowledge about themselves. This reaction to knowledge is manifested in the patient by walling it off, splitting it off, or attacking it and erasing it from one's internal experience. The avoidance of knowledge can be the result of various phantasy states that bring on defensive postures. Knowledge can be experienced as a persecutory threat to be avoided and defended against. Knowledge can also elicit depressive concerns of loss and separation. Issues of dependence and autonomy can be equated with knowledge and therefore learning must be warded off. As a result of any or all of these internal threats, the ego can instigate a moratorium on thinking and creativity, a shutdown on feeling, thinking, and learning. As will be shown in the case material, wanting to know can be offset by a greater defensive need to not know. Through projective identification cycles, knowledge is placed into the analyst and experienced as dangerous, unobtainable, or a gift one deserves to be given rather than earned. The patient in the case example demonstrates a more paranoid experience of knowledge and a more paranoid avoidance of learning and change. When paranoid phantasies drive the patient to destroy object-relational links between self and analyst, the transference becomes colored with the phantasy of knowledge being equal to dangerous dependence that leads to destruction of either self or object. Therefore, curiosity and learning are to be avoided. Change is no longer a safe option. Psychic change can only occur when past and current knowledge are allowed to be part of the ego's self<-->object world. In other words, Psychic change is possible when the ego is less restrictive and open to new self<-->object experience. Therefore, the ego must tolerate conflicted feelings and thoughts about the self and others for knowledge to be allowable and accessible. This is the core

  7. Knowledge-based nursing diagnosis

    NASA Astrophysics Data System (ADS)

    Roy, Claudette; Hay, D. Robert

    1991-03-01

    Nursing diagnosis is an integral part of the nursing process and determines the interventions leading to outcomes for which the nurse is accountable. Diagnoses under the time constraints of modern nursing can benefit from a computer assist. A knowledge-based engineering approach was developed to address these problems. A number of problems were addressed during system design to make the system practical extended beyond capture of knowledge. The issues involved in implementing a professional knowledge base in a clinical setting are discussed. System functions, structure, interfaces, health care environment, and terminology and taxonomy are discussed. An integrated system concept from assessment through intervention and evaluation is outlined.

  8. Science knowledge and biblical literalism.

    PubMed

    Zigerell, L J

    2012-04-01

    Biblical literalists are often described as scientific illiterates, but little if any empirical research has tested this claim. Analysis of a sixteen-item battery from the 2008 US General Social Survey revealed that literalists possess less science knowledge than those with other views of Scripture, but that much of this deficit can be attributed to demographic factors and unequal educational attainment. The marginal direct effect of biblical belief suggests that literalism is not incompatible with knowledge of science and, therefore, the best avenue for increasing science knowledge among literalists may be to foster interest in science and design science courses to attenuate any perceived conflict between science and religion.

  9. Knowledge industry: a powerful mechanism.

    PubMed

    Miguelote, Vera Regina da Silva; Camargo Jr, Kenneth Rochel de

    2010-02-01

    The paper deals with the pharmaceutical industry's links to the knowledge industry, through powerful marketing strategies. With the aim of scientifically legitimizing its products, the pharmaceutical industry interferes with the production of medical knowledge. In the form of a mechanism for directing economic interests, it funds drug research, biases its results and stimulates the production and publication of scientific papers. This is a mechanism that threatens important ethical issues: it transforms the process of scientific legitimization into a marketing strategy, compromises the credibility of the process of constructing medical knowledge and encourages distortions of the criteria for evaluating the quality of scientific papers. PMID:20140344

  10. On acquisition of programming knowledge

    NASA Technical Reports Server (NTRS)

    Amin, Ashok T.

    1987-01-01

    For the evolving discipline of programming, acquisition of programming knowledge is a difficult issue. Common knowledge results from the acceptance of proven techniques based on results of formal inquiries into the nature of the programming process. This is a rather slow process. In addition, the vast body of common knowledge needs to be explicated to a low enough level of details for it to be represented in the machine processable form. It is felt that this is an impediment to the progress of automatic programming. The importance of formal approaches cannot be overstated since their contributions lead to quantum leaps in the state of the art.

  11. [Everyday knowledge--body knowledge--knowledge of experience--specialized knowledge: acquisition, assessment and the orientation of logic concerning cultures of knowledge].

    PubMed

    Labouvie, Eva

    2007-06-01

    The essay explores changes in the understanding, legitimisation, and practice of midwifery. It was one of the earliest professional activities for women. During the eighteenth century a new culture of expertise emphasized theoretical knowledge and adherence to medical disciplines over the empirical practice gained by women. This early phase of professionalisation, with its hierarchies and preferred use of medically accredited knowledge, was not, however, solely divided along gender lines. Female professionalism was not just supplanted by male academic medicalisation. New ways of attaining and assessing knowledge, a different perception of how it is organised, and above all, social change created new patterns of understanding. This process achieved a new professional ethos. In pursuing the issue of gender, various examples are chosen to illustrate how changes in scientific knowledge and its relevant application are mediated. The construct of scientific knowledge and how it is used reflects gender relations and power structures. There is not only competition between female and male perceptions of knowledge, but also male stereotyping of female knowledge, in particular male notions of what kind of knowledge is necessary and how this is perceived by women. Karen Offen used the term ,knowledge wars' to describe how a monopoly of scientific expertise and relevant knowledge works within the professions.

  12. Early predictors of letter knowledge.

    PubMed

    de Jong, P F; Olson, R K

    2004-07-01

    This study examined the influence of phonological memory and rapid naming on the development of letter knowledge. Participants were 77 Dutch children, who were followed from the start of their first kindergarten year (mean age 4 years 6.8 months) to the end of their second kindergarten year. Phonological memory was assessed by a nonword repetition test and a sentence repetition test. Rapid naming involved object naming. The study revealed found a substantial effect of phonological memory on the acquisition of letter knowledge that was particularly related to the ability to repeat nonwords. Vocabulary knowledge did not have an independent effect on letter learning after phonological memory was controlled. The study also showed a small effect of rapid naming on the acquisition of letter knowledge that was independent of the effect of phonological memory. Finally, the study also provided further evidence for a specific relation between phonological memory and vocabulary acquisition. PMID:15203300

  13. Knowledge Obsolescence in Physical Educators

    ERIC Educational Resources Information Center

    Kelley, E. James; Lindsay, Carl A.

    1977-01-01

    In this study, current knowledge in the field of physical education is defined and categorized; an instrument and techniques for assessing the extent of obsolescence is developed; and parameters of obsolescence in a sample of physical educators is estimated. (MB)

  14. Knowledge representation in fuzzy logic

    NASA Technical Reports Server (NTRS)

    Zadeh, Lotfi A.

    1989-01-01

    The author presents a summary of the basic concepts and techniques underlying the application of fuzzy logic to knowledge representation. He then describes a number of examples relating to its use as a computational system for dealing with uncertainty and imprecision in the context of knowledge, meaning, and inference. It is noted that one of the basic aims of fuzzy logic is to provide a computational framework for knowledge representation and inference in an environment of uncertainty and imprecision. In such environments, fuzzy logic is effective when the solutions need not be precise and/or it is acceptable for a conclusion to have a dispositional rather than categorical validity. The importance of fuzzy logic derives from the fact that there are many real-world applications which fit these conditions, especially in the realm of knowledge-based systems for decision-making and control.

  15. Fortify Your Knowledge about Vitamins

    MedlinePlus

    ... For Consumers Consumer Updates Fortify Your Knowledge About Vitamins (video) Share Tweet Linkedin Pin it More sharing ... Consumer Update Although most people get all the vitamins they need from the foods they eat, millions ...

  16. So This is Knowledge Sharing

    NASA Technical Reports Server (NTRS)

    Motil, Susan

    2003-01-01

    People within large organizations have probably already dealt with problems similar to the problems that you face; you can save time and money by taking advantage of that experience and knowledge. Knowledge sharing by mentors can empower less experienced managers who would otherwise not challenge the status quo. Reviews should encourage joint problem solving rather than just reporting. To accomplish this, ensure that the review process is viewed as feedback from independent and supportive experts.

  17. The knowledge of our knowledge☆

    PubMed Central

    McAndrews, Jerome F.

    2012-01-01

    This classic article was published in the first volume and issue of Philosophical Constructs for the Chiropractic Profession. In this paper, Dr. McAndrews reviews the use of the term “philosophy” in chiropractic and urges the chiropractic profession to consider the use and misuse of this term. Reprinted with permission from McAndrews JF. The Knowledge of Our Knowledge. Philosophical Constructs for the Chiropractic Profession. 1991;1:14-17. PMID:23966887

  18. Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images.

    PubMed

    Zhang, Hao; Han, Hao; Liang, Zhengrong; Hu, Yifan; Liu, Yan; Moore, William; Ma, Jianhua; Lu, Hongbing

    2016-03-01

    Markov random field (MRF) model has been widely employed in edge-preserving regional noise smoothing penalty to reconstruct piece-wise smooth images in the presence of noise, such as in low-dose computed tomography (LdCT). While it preserves edge sharpness, its regional smoothing may sacrifice tissue image textures, which have been recognized as useful imaging biomarkers, and thus it may compromise clinical tasks such as differentiating malignant vs. benign lesions, e.g., lung nodules or colon polyps. This study aims to shift the edge-preserving regional noise smoothing paradigm to texture-preserving framework for LdCT image reconstruction while retaining the advantage of MRF's neighborhood system on edge preservation. Specifically, we adapted the MRF model to incorporate the image textures of muscle, fat, bone, lung, etc. from previous full-dose CT (FdCT) scan as a priori knowledge for texture-preserving Bayesian reconstruction of current LdCT images. To show the feasibility of the proposed reconstruction framework, experiments using clinical patient scans were conducted. The experimental outcomes showed a dramatic gain by the a priori knowledge for LdCT image reconstruction using the commonly-used Haralick texture measures. Thus, it is conjectured that the texture-preserving LdCT reconstruction has advantages over the edge-preserving regional smoothing paradigm for texture-specific clinical applications.

  19. Medical knowledge discovery and management.

    PubMed

    Prior, Fred

    2009-05-01

    Although the volume of medical information is growing rapidly, the ability to rapidly convert this data into "actionable insights" and new medical knowledge is lagging far behind. The first step in the knowledge discovery process is data management and integration, which logically can be accomplished through the application of data warehouse technologies. A key insight that arises from efforts in biosurveillance and the global scope of military medicine is that information must be integrated over both time (longitudinal health records) and space (spatial localization of health-related events). Once data are compiled and integrated it is essential to encode the semantics and relationships among data elements through the use of ontologies and semantic web technologies to convert data into knowledge. Medical images form a special class of health-related information. Traditionally knowledge has been extracted from images by human observation and encoded via controlled terminologies. This approach is rapidly being replaced by quantitative analyses that more reliably support knowledge extraction. The goals of knowledge discovery are the improvement of both the timeliness and accuracy of medical decision making and the identification of new procedures and therapies.

  20. Knowledge in a distributed environment

    SciTech Connect

    Moses, Y.O.

    1986-01-01

    The distributed nature of information in a distributed system is one of the major issues that protocols for cooperation and coordination between individual components in such a system must handle. Individual sites customarily have only partial knowledge about the general state of the system. Moreover, different information is available at the different sites of the system. Consequently, a central role of communication in such protocols is to inform particular sites about events that take place at other sites, and to transform the system's state of knowledge in a way that will guarantee the successful achievement of the goals of the protocol. This thesis is an initial attempt to study the role of knowledge in distributed system. A general framework is presented for defining knowledge in a distributed system, and a variety of states of knowledge are identified that groups of processors may have. These states of knowledge seem to capture basic aspects of coordinated actions in a distributed environment. This machinery is applied to the analysis of a number of problems. Finally, this machinery is applied to the study of fault tolerance in systems of unreliable processors, providing considerable insight into the Byzantine agreement problem, and obtaining improved protocols for Byzantine agreement and many related problems.

  1. Knowledge is Power: How Conceptual Knowledge Transforms Visual Cognition

    PubMed Central

    Collins, Jessica A.; Olson, Ingrid R.

    2014-01-01

    In this review we synthesize the existing literature demonstrating the dynamic interplay between conceptual knowledge and visual perceptual processing. We consider two theoretical frameworks demonstrating interactions between processes and brain areas traditionally considered perceptual or conceptual. Specifically, we discuss categorical perception, in which visual objects are represented according to category membership, and highlight studies showing that category knowledge can penetrate early stages of visual analysis. We next discuss the embodied account of conceptual knowledge, which holds that concepts are instantiated in the same neural regions required for specific types of perception and action, and discuss the limitations of this framework. We additionally consider studies showing that gaining abstract semantic knowledge about objects and faces leads to behavioral and electrophysiological changes that are indicative of more efficient stimulus processing. Finally, we consider the role that perceiver goals and motivation may play in shaping the interaction between conceptual and perceptual processing. We hope to demonstrate how pervasive such interactions between motivation, conceptual knowledge, and perceptual processing are to our understanding of the visual environment, and demonstrate the need for future research aimed at understanding how such interactions arise in the brain. PMID:24402731

  2. Knowledge is power: how conceptual knowledge transforms visual cognition.

    PubMed

    Collins, Jessica A; Olson, Ingrid R

    2014-08-01

    In this review, we synthesize the existing literature demonstrating the dynamic interplay between conceptual knowledge and visual perceptual processing. We consider two theoretical frameworks that demonstrate interactions between processes and brain areas traditionally considered perceptual or conceptual. Specifically, we discuss categorical perception, in which visual objects are represented according to category membership, and highlight studies showing that category knowledge can penetrate early stages of visual analysis. We next discuss the embodied account of conceptual knowledge, which holds that concepts are instantiated in the same neural regions required for specific types of perception and action, and discuss the limitations of this framework. We additionally consider studies showing that gaining abstract semantic knowledge about objects and faces leads to behavioral and electrophysiological changes that are indicative of more efficient stimulus processing. Finally, we consider the role that perceiver goals and motivation may play in shaping the interaction between conceptual and perceptual processing. We hope to demonstrate how pervasive such interactions between motivation, conceptual knowledge, and perceptual processing are in our understanding of the visual environment, and to demonstrate the need for future research aimed at understanding how such interactions arise in the brain.

  3. The Role of Prior Knowledge and Problem Contexts in Students' Explanations of Complex System

    NASA Astrophysics Data System (ADS)

    Barth-Cohen, Lauren April

    , depending on the kinds of prior knowledge resources activated. For example, in the sand dune problem context, where students are able to access a wide range of intuitive resources that are applicable at multiple levels, coming to explain decentralized causality is relatively straight forward. Third, I find that for these students' emergent thinking is not a unified entity. It is diverse in its nature and varies across problem contexts and across the kinds of prior knowledge that students evoke. This dissertation illustrates the importance of students' prior knowledge resources in their understanding and developing explanations for how complex systems work. Combined, these results suggest that the fundamental diversity in explanations needs to be respected. Instruction should emphasize the generative process of explaining based on students' prior knowledge rather than any a priori taxonomy of forms of explanations to be learned.

  4. Knowledge brokers in a knowledge network: the case of Seniors Health Research Transfer Network knowledge brokers

    PubMed Central

    2013-01-01

    Background The purpose of this paper is to describe and reflect on the role of knowledge brokers (KBs) in the Seniors Health Research Transfer Network (SHRTN). The paper reviews the relevant literature on knowledge brokering, and then describes the evolving role of knowledge brokering in this knowledge network. Methods The description of knowledge brokering provided here is based on a developmental evaluation program and on the experiences of the authors. Data were gathered through qualitative and quantitative methods, analyzed by the evaluators, and interpreted by network members who participated in sensemaking forums. The results were fed back to the network each year in the form of formal written reports that were widely distributed to network members, as well as through presentations to the network’s members. Results The SHRTN evaluation and our experiences as evaluators and KBs suggest that a SHRTN KB facilitates processes of learning whereby people are connected with tacit or explicit knowledge sources that will help them to resolve work-related challenges. To make this happen, KBs engage in a set of relational, technical, and analytical activities that help communities of practice (CoPs) to develop and operate, facilitate exchanges among people with similar concerns and interests, and help groups and individuals to create, explore, and apply knowledge in their practice. We also suggest that the role is difficult to define, emergent, abstract, episodic, and not fully understood. Conclusions The KB role within this knowledge network has developed and matured over time. The KB adapts to the social and technical affordances of each situation, and fashions a unique and relevant process to create relationships and promote learning and change. The ability to work with teams and to develop relevant models and feasible approaches are critical KB skills. The KB is a leader who wields influence rather than power, and who is prepared to adopt whatever roles and

  5. The knowledge workstation: an electronic environment for knowledge management.

    PubMed Central

    Lucier, R E; Matheson, N W; Butter, K A; Reynolds, R E

    1988-01-01

    This paper focuses on the creation of the IAIMS workstation in the context of the outcomes of a year-long IAIMS strategic planning process at the Johns Hopkins Medical Institutions (JHMI). These outcomes include a long-term institutional vision for a functional knowledge management environment, a JHMI IAIMS model, a strategic plan, and two model prototypes. The functional requirements and specific implementation strategies for the IAIMS workstation, the prototype for managing the knowledge base of the published biomedical literature, are discussed in detail. PMID:3416102

  6. The knowledge workstation: an electronic environment for knowledge management.

    PubMed

    Lucier, R E; Matheson, N W; Butter, K A; Reynolds, R E

    1988-07-01

    This paper focuses on the creation of the IAIMS workstation in the context of the outcomes of a year-long IAIMS strategic planning process at the Johns Hopkins Medical Institutions (JHMI). These outcomes include a long-term institutional vision for a functional knowledge management environment, a JHMI IAIMS model, a strategic plan, and two model prototypes. The functional requirements and specific implementation strategies for the IAIMS workstation, the prototype for managing the knowledge base of the published biomedical literature, are discussed in detail.

  7. The Google-ization of Knowledge

    ERIC Educational Resources Information Center

    Larson, Natasja; Parsons, Jim; Servage, Laura

    2007-01-01

    How has GOOGLE shaped knowledge? How has it shaped those who use it? This article considers the impact of online knowledge upon the content of knowledge and upon the people who seek it and create it. The authors suggest that 1. Google-ization is reshaping knowledge. 2. Google-ization is changing how knowledge counts as important. 3. Google-ization…

  8. Structuring the Knowledge of Man's Practices.

    ERIC Educational Resources Information Center

    Ray, Willis E.

    Man's knowledge may be conceptualized and ordered into four domains or classes--formal knowledge, descriptive knowledge, prescriptive knowledge, and praxiological knowledge. In today's rapidly changing world of work, the key saleable skills are flexibility and adaptability. A secondary school program based entirely on the formal, descriptive, and…

  9. What Is Technological Pedagogical Content Knowledge?

    ERIC Educational Resources Information Center

    Koehler, Matthew J.; Mishra, Punya

    2009-01-01

    This paper describes a framework for teacher knowledge for technology integration called technological pedagogical content knowledge (originally TPCK, now known as TPACK, or technology, pedagogy, and content knowledge). This framework builds on Lee Shulman's construct of pedagogical content knowledge (PCK) to include technology knowledge. The…

  10. Self-configurable radio receiver system and method for use with signals without prior knowledge of signal defining characteristics

    NASA Technical Reports Server (NTRS)

    Hamkins, Jon (Inventor); Simon, Marvin K. (Inventor); Divsalar, Dariush (Inventor); Dolinar, Samuel J. (Inventor); Tkacenko, Andre (Inventor)

    2013-01-01

    A method, radio receiver, and system to autonomously receive and decode a plurality of signals having a variety of signal types without a priori knowledge of the defining characteristics of the signals is disclosed. The radio receiver is capable of receiving a signal of an unknown signal type and, by estimating one or more defining characteristics of the signal, determine the type of signal. The estimated defining characteristic(s) is/are utilized to enable the receiver to determine other defining characteristics. This in turn, enables the receiver, through multiple iterations, to make a maximum-likelihood (ML) estimate for each of the defining characteristics. After the type of signal is determined by its defining characteristics, the receiver selects an appropriate decoder from a plurality of decoders to decode the signal.

  11. Information and Knowledge in Biology

    PubMed Central

    2007-01-01

    The second law of thermodynamics accounts for irreversibility of processes in the universe. As a statement about increasing disorder, it also plays a central role in creating order. Structuring is a way of how to increase the rate of dissipation of matter and energy. This is the reason why chemical reactions on Earth have produced a profusion of structures. Chemical structures with particularly high stability, maintained by continual dissipation, are designated, somewhat arbitrarily, as living systems. To preserve stability, organisms are unceasingly performing ontic work, assisted by epistemic work. Biological evolution is a progressing process of knowledge acquisition (cognition) and, correspondingly, of growth of complexity. The acquired knowledge represents epistemic complexity. Biological species are the main “bookkeepers” of acquired knowledge, with individual members of the species functioning as “explorers” of novelty. Science, a human species-specific mode of acquiring knowledge, abounds in metaphors no less than art. In the postgenomic era, the metaphor of information, along with the related metaphor of selfish genes, may need reconsideration and/or complementation. The world of great complexity, which is becoming the focus of studies of contemporary biology, may require—similarly as is the case of quantum physics—descriptions based on the principle of complementarity. Embodied knowledge, molecular engine, ontic and epistemic work, and triggering may become parts of a new conceptual armory. PMID:19516970

  12. Knowledge-based deformable surface model with application to segmentation of brain structures in MRI

    NASA Astrophysics Data System (ADS)

    Ghanei, Amir; Soltanian-Zadeh, Hamid; Elisevich, Kost; Fessler, Jeffrey A.

    2001-07-01

    We have developed a knowledge-based deformable surface for segmentation of medical images. This work has been done in the context of segmentation of hippocampus from brain MRI, due to its challenge and clinical importance. The model has a polyhedral discrete structure and is initialized automatically by analyzing brain MRI sliced by slice, and finding few landmark features at each slice using an expert system. The expert system decides on the presence of the hippocampus and its general location in each slice. The landmarks found are connected together by a triangulation method, to generate a closed initial surface. The surface deforms under defined internal and external force terms thereafter, to generate an accurate and reproducible boundary for the hippocampus. The anterior and posterior (AP) limits of the hippocampus is estimated by automatic analysis of the location of brain stem, and some of the features extracted in the initialization process. These data are combined together with a priori knowledge using Bayes method to estimate a probability density function (pdf) for the length of the structure in sagittal direction. The hippocampus AP limits are found by optimizing this pdf. The model is tested on real clinical data and the results show very good model performance.

  13. Improving Resident Knowledge of Spacers.

    PubMed

    Kilgore, Brian; Al Katranji, Khalid; Woodall, Meredith; Shepherd, Meagan; Flesher, Susan L

    2016-10-01

    Studies show the delivery of inhaled medications is maximized when a metered-dose inhaler (MDI) with a spacer is utilized. Our residents expressed concern with their knowledge of MDIs and spacers. This study was designed to address those concerns. Residents were given a 12-question pre-intervention, self-assessment questionnaire that explored their overall knowledge and comfort in utilizing MDI with spacers. Participants then received educational intervention via multimedia videos and a demonstration of proper use of MDI with spacer. Participants were given the same questionnaire immediately following the education and again 3 months later. Improvement was significant (P < .05) for each element studied as derived from the 12 questions. Improvement remained significant when these variables were assessed in the 3-month follow-up. In this study, we successfully improved the ability of our residents to deliver quality care by improving their knowledge and confidence in utilizing MDIs with spacers. PMID:27630006

  14. Supporting knowledge discovery in medicine.

    PubMed

    Girardi, Dominic; Arthofer, Klaus

    2014-01-01

    Our ontology-based benchmarking infrastructure for hospitals, we presented on the eHealth 2012, has meanwhile proven useful. Besides, we gathered manifold experience in supporting knowledge discovery in medicine. This also led to further functions and plans with our software. We could confirm and extent our experience by a literature review on the knowledge discovery process in medicine, visual analytics and data mining and drafted an according approach for extending our software. We validated our approach by exemplarily implementing a parallel-coordinate data visualization into our software and plan to integrate further algorithms for visual analytics and machine learning to support knowledge discovery in medicine in diverse ways. This is very promising but can also fail due to technical or organizational details.

  15. Knowledge in perception and illusion.

    PubMed

    Gregory, R L

    1997-08-29

    Following Hermann von Helmholtz, who described visual perceptions as unconscious inferences from sensory data and knowledge derived from the past, perceptions are regarded as similar to predictive hypotheses of science, but are psychologically projected into external space and accepted as our most immediate reality. There are increasing discrepancies between perceptions and conceptions with science's advances, which makes it hard to define 'illusion'. Visual illusions can provide evidence of object knowledge and working rules for vision, but only when the phenomena are explained and classified. A tentative classification is presented, in terms of appearances and kinds of causes. The large contribution of knowledge from the past for vision raises the issue: how do we recognize the present, without confusion from the past. This danger is generally avoided as the present is signalled by real-time sensory inputs-perhaps flagged by qualia of consciousness.

  16. How experienced practitioners gain knowledge.

    PubMed

    Vaughan, Barbara

    2014-01-01

    An evolution in nursing in the United Kingdom in the 1970s from rule-bound toward holistic, autonomous practice engendered an examination of nursing's body of knowledge and how it is incorporated into practice. This article describes Barbara Carper's (1978) Fundamental Patterns of Knowing in Nursing (empiric, ethical, aesthetic, and personal knowledge), and links it to three major worldviews of the way in which knowledge is sought (positivism, naturalism, and critical social theory). Carper's model was used in the United Kingdom as the basis for a curriculum of structured reflective practice using workshops, journaling, and clinical supervision. An example from a practitioner's diary demonstrates how Carper's model informs reflection on an interaction with a patient with newly diagnosed cancer. PMID:24730190

  17. Object knowledge modulates colour appearance

    PubMed Central

    Witzel, Christoph; Valkova, Hanna; Hansen, Thorsten; Gegenfurtner, Karl R

    2011-01-01

    We investigated the memory colour effect for colour diagnostic artificial objects. Since knowledge about these objects and their colours has been learned in everyday life, these stimuli allow the investigation of the influence of acquired object knowledge on colour appearance. These investigations are relevant for questions about how object and colour information in high-level vision interact as well as for research about the influence of learning and experience on perception in general. In order to identify suitable artificial objects, we developed a reaction time paradigm that measures (subjective) colour diagnosticity. In the main experiment, participants adjusted sixteen such objects to their typical colour as well as to grey. If the achromatic object appears in its typical colour, then participants should adjust it to the opponent colour in order to subjectively perceive it as grey. We found that knowledge about the typical colour influences the colour appearance of artificial objects. This effect was particularly strong along the daylight axis. PMID:23145224

  18. Knowledge in perception and illusion.

    PubMed Central

    Gregory, R L

    1997-01-01

    Following Hermann von Helmholtz, who described visual perceptions as unconscious inferences from sensory data and knowledge derived from the past, perceptions are regarded as similar to predictive hypotheses of science, but are psychologically projected into external space and accepted as our most immediate reality. There are increasing discrepancies between perceptions and conceptions with science's advances, which makes it hard to define 'illusion'. Visual illusions can provide evidence of object knowledge and working rules for vision, but only when the phenomena are explained and classified. A tentative classification is presented, in terms of appearances and kinds of causes. The large contribution of knowledge from the past for vision raises the issue: how do we recognize the present, without confusion from the past. This danger is generally avoided as the present is signalled by real-time sensory inputs-perhaps flagged by qualia of consciousness. PMID:9304679

  19. Producing Dangerous Knowledge: Researching Knowledge Production in Belgium

    ERIC Educational Resources Information Center

    Mangez, Catherine; Mangerz, Eric

    2011-01-01

    This is an article about the struggle for control of knowledge in a divided society. It starts off by describing Belgium as a consociational democracy--that is, a society organized around integrated pillars of society (Catholic, secular), each of which provides a wide range of services (educational, training, health, health insurance, social care,…

  20. Knowledge Utility: From Social Relevance to Knowledge Mobilization

    ERIC Educational Resources Information Center

    Naidorf, Judith

    2014-01-01

    In recent years, a more sophisticated vocabulary has emerged in the field of higher education. Categories such as" socially relevant research"; "knowledge mobilization"; "research impact"; "innovation"; and "university priorities" have appeared. At first glance, these words may appear neutral,…

  1. New Ways of Knowledge: The Sciences, Society, and Reconstructive Knowledge.

    ERIC Educational Resources Information Center

    Raskin, Marcus G.; And Others

    In this volume, physicists and social scientists challenge the bedrock of scientific thinking whose applications can prove destructive to existing social systems, and shift the debate to the need for a radical change of direction that would replace traditional "value-free" inquiry and research with a knowledge model that incorporates social…

  2. Configuring Knowledge: An Essay on Knowledge in the Information Age

    ERIC Educational Resources Information Center

    Jha, Avinash

    2006-01-01

    This article attempts to articulate in broad outline the post-industrial regime of knowledge and information and point out its fatal flaw. The Internet is treated as a socio-technological complex animated by capital and information. The notion of information is interrogated and an alternative notion closer to our everyday intuitions is proposed.…

  3. Chapter 1: Biomedical knowledge integration.

    PubMed

    Payne, Philip R O

    2012-01-01

    The modern biomedical research and healthcare delivery domains have seen an unparalleled increase in the rate of innovation and novel technologies over the past several decades. Catalyzed by paradigm-shifting public and private programs focusing upon the formation and delivery of genomic and personalized medicine, the need for high-throughput and integrative approaches to the collection, management, and analysis of heterogeneous data sets has become imperative. This need is particularly pressing in the translational bioinformatics domain, where many fundamental research questions require the integration of large scale, multi-dimensional clinical phenotype and bio-molecular data sets. Modern biomedical informatics theory and practice has demonstrated the distinct benefits associated with the use of knowledge-based systems in such contexts. A knowledge-based system can be defined as an intelligent agent that employs a computationally tractable knowledge base or repository in order to reason upon data in a targeted domain and reproduce expert performance relative to such reasoning operations. The ultimate goal of the design and use of such agents is to increase the reproducibility, scalability, and accessibility of complex reasoning tasks. Examples of the application of knowledge-based systems in biomedicine span a broad spectrum, from the execution of clinical decision support, to epidemiologic surveillance of public data sets for the purposes of detecting emerging infectious diseases, to the discovery of novel hypotheses in large-scale research data sets. In this chapter, we will review the basic theoretical frameworks that define core knowledge types and reasoning operations with particular emphasis on the applicability of such conceptual models within the biomedical domain, and then go on to introduce a number of prototypical data integration requirements and patterns relevant to the conduct of translational bioinformatics that can be addressed via the design and

  4. Chapter 1: Biomedical knowledge integration.

    PubMed

    Payne, Philip R O

    2012-01-01

    The modern biomedical research and healthcare delivery domains have seen an unparalleled increase in the rate of innovation and novel technologies over the past several decades. Catalyzed by paradigm-shifting public and private programs focusing upon the formation and delivery of genomic and personalized medicine, the need for high-throughput and integrative approaches to the collection, management, and analysis of heterogeneous data sets has become imperative. This need is particularly pressing in the translational bioinformatics domain, where many fundamental research questions require the integration of large scale, multi-dimensional clinical phenotype and bio-molecular data sets. Modern biomedical informatics theory and practice has demonstrated the distinct benefits associated with the use of knowledge-based systems in such contexts. A knowledge-based system can be defined as an intelligent agent that employs a computationally tractable knowledge base or repository in order to reason upon data in a targeted domain and reproduce expert performance relative to such reasoning operations. The ultimate goal of the design and use of such agents is to increase the reproducibility, scalability, and accessibility of complex reasoning tasks. Examples of the application of knowledge-based systems in biomedicine span a broad spectrum, from the execution of clinical decision support, to epidemiologic surveillance of public data sets for the purposes of detecting emerging infectious diseases, to the discovery of novel hypotheses in large-scale research data sets. In this chapter, we will review the basic theoretical frameworks that define core knowledge types and reasoning operations with particular emphasis on the applicability of such conceptual models within the biomedical domain, and then go on to introduce a number of prototypical data integration requirements and patterns relevant to the conduct of translational bioinformatics that can be addressed via the design and

  5. Chapter 1: Biomedical Knowledge Integration

    PubMed Central

    Payne, Philip R. O.

    2012-01-01

    The modern biomedical research and healthcare delivery domains have seen an unparalleled increase in the rate of innovation and novel technologies over the past several decades. Catalyzed by paradigm-shifting public and private programs focusing upon the formation and delivery of genomic and personalized medicine, the need for high-throughput and integrative approaches to the collection, management, and analysis of heterogeneous data sets has become imperative. This need is particularly pressing in the translational bioinformatics domain, where many fundamental research questions require the integration of large scale, multi-dimensional clinical phenotype and bio-molecular data sets. Modern biomedical informatics theory and practice has demonstrated the distinct benefits associated with the use of knowledge-based systems in such contexts. A knowledge-based system can be defined as an intelligent agent that employs a computationally tractable knowledge base or repository in order to reason upon data in a targeted domain and reproduce expert performance relative to such reasoning operations. The ultimate goal of the design and use of such agents is to increase the reproducibility, scalability, and accessibility of complex reasoning tasks. Examples of the application of knowledge-based systems in biomedicine span a broad spectrum, from the execution of clinical decision support, to epidemiologic surveillance of public data sets for the purposes of detecting emerging infectious diseases, to the discovery of novel hypotheses in large-scale research data sets. In this chapter, we will review the basic theoretical frameworks that define core knowledge types and reasoning operations with particular emphasis on the applicability of such conceptual models within the biomedical domain, and then go on to introduce a number of prototypical data integration requirements and patterns relevant to the conduct of translational bioinformatics that can be addressed via the design and

  6. Knowledge formalization of intelligent building

    NASA Astrophysics Data System (ADS)

    Žáček, Martin

    2016-06-01

    This article aim is understanding the basic knowledge about an intelligent building. The notion of the intelligent building can be called any building equipped with computer and communication technology, which can automatically respond to internal or external stimuli. The result of the intelligent building is an automated and foreseeing of activities that enable to reduce operating costs and increase comfort. The best way to use the intelligent building is for a low-energy building, a passive building, or for building with high savings. The output of this article is the formalization of basic knowledge of the intelligent building by RDF graph.

  7. Knowledge and regularity in planning

    NASA Technical Reports Server (NTRS)

    Allen, John A.; Langley, Pat; Matwin, Stan

    1992-01-01

    The field of planning has focused on several methods of using domain-specific knowledge. The three most common methods, use of search control, use of macro-operators, and analogy, are part of a continuum of techniques differing in the amount of reused plan information. This paper describes TALUS, a planner that exploits this continuum, and is used for comparing the relative utility of these methods. We present results showing how search control, macro-operators, and analogy are affected by domain regularity and the amount of stored knowledge.

  8. Unpacking Division to Build Teachers' Mathematical Knowledge

    ERIC Educational Resources Information Center

    Huinker, DeAnn; Hedges, Melissa; Steinmeyer, Meghan

    2005-01-01

    The unpacking of the mathematical knowledge necessary for teaching division is examined. A core task for surfacing and unpacking one's division knowledge is presented and the understandings that might comprise a package of teacher knowledge for division is discussed.

  9. Informal reasoning regarding socioscientific issues: The influence of morality and content knowledge

    NASA Astrophysics Data System (ADS)

    Sadler, Troy Dow

    This study focused on informal reasoning regarding socioscientific issues. It explored how morality and content knowledge influenced the negotiation and resolution of contentious and complex scenarios based on genetic engineering. Two hundred and sixty-nine undergraduate students completed a quantitative test of genetics concepts. A sub-set of the students (n = 30) who completed this instrument and represented divergent levels of content knowledge participated in two individual interviews, during which they discussed their ideas, reactions, and solutions to three gene therapy scenarios and three cloning scenarios. A mixed-methods approach was used to examine patterns of informal reasoning and the influence of morality, the effects of content knowledge on the use of informal reasoning patterns, and the effects of content knowledge on the quality of informal reasoning. Students demonstrated evidence of rationalistic, emotive, and intuitive forms of informal reasoning. Rationalistic informal reasoning described reason-based considerations; emotive informal reasoning described care-based considerations; and intuitive reasoning described considerations based on immediate reactions to the context of a scenario. Participants frequently relied on combinations of these reasoning patterns as they worked to resolve individual socioscientific scenarios. Most of the participants appreciated at least some of the moral implications of their decisions, and these considerations were typically interwoven within an overall pattern of informal reasoning. Although differences in content knowledge were not found to be related to modes of informal reasoning (rationalistic, emotive, and informal), data did indicate that differences in content knowledge were related to variations in informal reasoning quality. Participants, with more advanced understandings of genetics, demonstrated fewer instances of reasoning flaws, as defined by a priori criteria (intra-scenario coherence, inter

  10. KI: A tool for knowledge integration

    SciTech Connect

    Murray, K.S.

    1996-12-31

    Knowledge integration is the process of incorporating new information into a body of existing knowledge. It involves determining how new and existing knowledge interact and how existing knowledge should be modified to accommodate the new information. KI is a machine learning program that performs knowledge integration. Through actively investigating the interaction of new information with existing knowledge KI is capable of detecting and exploiting a variety of diverse learning opportunities during a single learning episode. Empirical evaluation suggests that KI provides significant assistance to knowledge engineers while integrating new information into a large knowledge base.

  11. The elements of design knowledge capture

    NASA Technical Reports Server (NTRS)

    Freeman, Michael S.

    1988-01-01

    This paper will present the basic constituents of a design knowledge capture effort. This will include a discussion of the types of knowledge to be captured in such an effort and the difference between design knowledge capture and more traditional knowledge base construction. These differences include both knowledge base structure and knowledge acquisition approach. The motivation for establishing a design knowledge capture effort as an integral part of major NASA programs will be outlined, along with the current NASA position on that subject. Finally the approach taken in design knowledge capture for Space Station will be contrasted with that used in the HSTDEK project.

  12. Parents' Knowledge of Emergent Literacy.

    ERIC Educational Resources Information Center

    Meehan, Ellen

    This study investigated parents' knowledge of their child's emergent literacy development by administering parent questionnaires that examined parents' beliefs of literacy learning and the early writing and reading experiences of preschool children in their home. A total of 115 questionnaires were administered to parents with children enrolled in…

  13. Topical Knowledge and ESL Writing

    ERIC Educational Resources Information Center

    He, Ling; Shi, Ling

    2012-01-01

    This study investigates the effects of topical knowledge on ESL (English as a Second Language) writing performance in the English Language Proficiency Index (LPI), a standardized English proficiency test used by many post-secondary institutions in western Canada. The participants were 50 students with different levels of English proficiency…

  14. Socialization for the Knowledge Society

    ERIC Educational Resources Information Center

    Karpov, Alexander O.

    2016-01-01

    The purpose of the study is to give an overview and present special features of socialization of the research type that prepares young people for life in the knowledge society. Methods of cultural and historical epistemology, of hermeneutic and structural-functional analysis of social action have been used in the study, as well as elements of the…

  15. Ethnographic Knowledge for Early Childhood

    ERIC Educational Resources Information Center

    Adair, Jennifer Keys

    2010-01-01

    The policy brief "Ethnographic Knowledge for Early Childhood" details the contributions of current ethnographic research in the area of early childhood education. The brief's main purpose is to demonstrate how ethnography (as a methodology) helps us better understand the context of early childhood programs, the types of settings and resources…

  16. Expert and Knowledge Based Systems.

    ERIC Educational Resources Information Center

    Demaid, Adrian; Edwards, Lyndon

    1987-01-01

    Discusses the nature and current state of knowledge-based systems and expert systems. Describes an expert system from the viewpoints of a computer programmer and an applications expert. Addresses concerns related to materials selection and forecasts future developments in the teaching of materials engineering. (ML)

  17. Knowledge Translation in Rehabilitation Counseling

    ERIC Educational Resources Information Center

    Johnson, Kurt; Brown, Pat; Harniss, Mark; Schomer, Katherine

    2010-01-01

    The process and importance of Knowledge Translation (KT) for the field of rehabilitation counseling is described. One element of the KT process, systematic reviews of the literature, is described along with several strategies for grading evidence. Practicing clinicians, as do consumers, encounter a number of barriers to using primary source…

  18. Knowledge Exchange with Sistema Scotland

    ERIC Educational Resources Information Center

    Allan, Julie; Moran, Nikki; Duffy, Celia; Loening, Gica

    2010-01-01

    This paper reports on a knowledge exchange project, funded by the Scottish Funding Council and undertaken by a group of researchers from three higher education institutions in Scotland and the project partner, Sistema Scotland. This newly established charity is attempting to implement a major programme of social change, developed in Venezuela,…

  19. Reclaiming Indigenous Representations and Knowledges

    ERIC Educational Resources Information Center

    Iseke-Barnes, Judy; Danard, Deborah

    2007-01-01

    This article explores contemporary Indigenous artists', activists', and scholars' use of the Internet to reclaim Indigenous knowledge, culture, art, history, and worldview; critique the political realities of dominant discourse; and address the genocidal history and ongoing repression of Indigenous peoples. Indigenous Internet examples include…

  20. Transfer of Mathematical Knowledge: Series

    ERIC Educational Resources Information Center

    Akgun, Levent; Isik, Cemalettin; Tatar, Enver; Isleyen, Tevfik; Soylu, Yasin

    2012-01-01

    The aim of this study is to explain students' ability to transfer their knowledge about mathematical series to the problems that they encounter. The data of the study were obtained by using two different tests, namely "Problem Solving Test (PST)" and "Series Character Identification Test (SCT)" which were developed by the researchers. The study…

  1. Scientific knowledge and modern prospecting

    USGS Publications Warehouse

    Neuerburg, G.J.

    1985-01-01

    Modern prospecting is the systematic search for specified and generally ill-exposed components of the Earth's crust known as ore. This prospecting depends entirely on reliable, or scientific knowledge for guidance and for recognition of the search objects. Improvement in prospecting results from additions and refinements to scientific knowledge. Scientific knowledge is an ordered distillation of observations too numerous and too complex in themselves for easy understanding and for effective management. The ordering of these observations is accomplished by an evolutionary hierarchy of abstractions. These abstractions employ simplified descriptions consisting of characterization by selected properties, sampling to represent much larger parts of a phenomenon, generalized mappings of patterns of geometrical and numerical relations among properties, and explanation (theory) of these patterns as functional relations among the selected properties. Each abstraction is predicated on the mode of abstraction anticipated for the next higher level, so that research is a deductive process in which the highest level, theory, is indispensible for the growth and refinement of scientific knowledge, and therefore of prospecting methodology. ?? 1985 Springer-Verlag.

  2. Shaping the Future with Knowledge

    ERIC Educational Resources Information Center

    Khan, Abdul Waheed

    2005-01-01

    This article is an edited version of an address by Abdul Waheed Khan to a Special Convocation at Jamia Hamdard University, New Delhi, on 4 January 2005. Professor Khan identifies major societal trends and likely future developments, with particular reference to India. He argues that knowledge will play a central role in shaping economic growth,…

  3. Readers' Knowledge of Popular Genre

    ERIC Educational Resources Information Center

    Dixon, Peter; Bortolussi, Marisa

    2009-01-01

    This research examined readers' knowledge of popular genres. Participants wrote short essays on fantasy, science fiction, or romance. The similarities among the essays were measured using latent semantic analysis (LSA) and were then analyzed using multidimensional scaling and cluster analysis. The clusters and scales were interpreted by searching…

  4. Providing Space for Indigenous Knowledge

    ERIC Educational Resources Information Center

    Tangihaere, Tracey Mihinoa; Twiname, Linda

    2011-01-01

    Colonial influences have generally failed to respect indigenous knowledge, languages, and cultures. Determination to reclaim First Nations identity is visible in many jurisdictions. First Nations Peoples continue to call on governments to facilitate changes needed to revitalize their economic, social, cultural, and spiritual well-being. This…

  5. Personality, Intelligence and General Knowledge

    ERIC Educational Resources Information Center

    Furnham, Adrian; Chamorro-Premuzic, Tomas

    2006-01-01

    Three studies, all on student populations, looked at the relationship between a recently psychometrised measure of General Knowledge [Irwing, P., Cammock, T., & Lynn, R. (2001). Some evidence for the existence of a general factor of semantic memory and its components. "Personality and Individual Differences," 30, 857-871], both long and short…

  6. Assessing Partial Knowledge in Vocabulary.

    ERIC Educational Resources Information Center

    Smith, Richard M.

    1987-01-01

    Partial knowledge was assessed in a multiple choice vocabulary test. Test reliability and concurrent validity were compared using Rasch-based dichotomous and polychotomous scoring models. Results supported the polychtomous scoring model, and moderately supported J. O'Connor's theory of vocabulary acquisition. (Author/GDC)

  7. Librarians' Attitudes toward Knowledge Management

    ERIC Educational Resources Information Center

    Aharony, Noa

    2011-01-01

    The purpose of this research is to develop an understanding of the factors that support or constrain the individual's sharing knowledge in the organization. The current study seeks to explore whether personality (self-efficacy and self-esteem) and situational (cognitive appraisal: threat versus challenge) characteristics influence participants'…

  8. Knowledge Management and the Academy

    ERIC Educational Resources Information Center

    Cain, Timothy J.; Branin, Joseph J.; Sherman, W. Michael

    2008-01-01

    Universities and colleges generate extraordinary quantities of knowledge and innovation, but in many ways the academy struggles to keep pace with the digital revolution. Growing pressures are reshaping how universities must do business--students expecting enhanced access and support, administrators eager to make data-driven strategic decisions,…

  9. Knowledge Management and Reference Services

    ERIC Educational Resources Information Center

    Gandhi, Smiti

    2004-01-01

    Many corporations are embracing knowledge management (KM) to capture the intellectual capital of their employees. This article focuses on KM applications for reference work in libraries. It defines key concepts of KM, establishes a need for KM for reference services, and reviews various KM initiatives for reference services.

  10. Situating Graphs as Workplace Knowledge

    ERIC Educational Resources Information Center

    Noss, Richard; Bakker, Arthur; Hoyles, Celia; Kent, Phillip

    2007-01-01

    We investigate the use and knowledge of graphs in the context of a large industrial factory. We are particularly interested in the question of "transparency", a question that has been extensively considered in the general literature on tool use and, more recently, by Michael Roth and his colleagues in the context of scientific work. Roth uses the…

  11. Population Education: A Knowledge Base.

    ERIC Educational Resources Information Center

    Jacobson, Willard J.

    To aid junior high and high school educators and curriculum planners as they develop population education programs, the book provides an overview of the population education knowledge base. In addition, it suggests learning activities, discussion questions, and background information which can be integrated into courses dealing with population,…

  12. The Politics of Management Knowledge.

    ERIC Educational Resources Information Center

    Clegg, Stewart R., Ed.; Palmer, Gill, Ed.

    This book recognizes the political nature of management knowledge, as a discourse produced from, and reproducing, power processes within and between organizations. Critical examinations of certain current management theories--lean production, excellence, entrepreneurship--are examples of relations of power that intermingle with relations of…

  13. Nutritional knowledge of UK coaches.

    PubMed

    Cockburn, Emma; Fortune, Alistair; Briggs, Marc; Rumbold, Penny

    2014-04-10

    Athletes obtain nutritional information from their coaches, yet their competency in this area is lacking. Currently, no research exists in the UK which has a different coach education system to many other countries. Therefore, the aim of this study was to evaluate the sports nutrition knowledge of UK coaching certificate (UKCC) level 2 and 3, hockey and netball qualified coaches. All coaches (n = 163) completed a sports nutrition questionnaire to identify: (a) if they provided nutritional advice; (b) their level of sport nutrition knowledge; and (c) factors that may have contributed to their level of knowledge. Over half the coaches provided advice to their athletes (n = 93, 57.1%), even though they were not competent to do so. Coaches responded correctly to 60.3 ± 10.5% of all knowledge questions with no differences between those providing advice and those who did not (p > 0.05). Those coaches who had undertaken formal nutrition training achieved higher scores than those who had not (p < 0.05). In conclusion, UK sports coaches would benefit from continued professional development in sports nutrition to enhance their coaching practice.

  14. Knowledge Activation and Schema Construction.

    ERIC Educational Resources Information Center

    Alvarez, Marino C.

    This study examined how instruction that encourages critical thinking about what has been read can lead to incorporated knowledge that can be retrieved and applied to other related settings. Case-based learning (an instructional method long used with graduate business, law, and medical students) is one method that can be used to foster critical…

  15. Managing Knowledge through "Hoshin Kanri"

    ERIC Educational Resources Information Center

    Tennant C.; Roberts P.

    2003-01-01

    A fundamental challenge within business organizations (whether manufacturing or service, large or small) is posed by the difficulties associated with managing knowledge to integrate the long-term vision and strategic goals with daily working processes and with people. The traditional Western approach of "Management by Objectives" (MbO) is…

  16. Systematic reviews and knowledge translation.

    PubMed Central

    Tugwell, Peter; Robinson, Vivian; Grimshaw, Jeremy; Santesso, Nancy

    2006-01-01

    Proven effective interventions exist that would enable all countries to meet the Millennium Development Goals. However, uptake and use of these interventions in the poorest populations is at least 50% less than in the richest populations within each country. Also, we have recently shown that community effectiveness of interventions is lower for the poorest populations due to a "staircase" effect of lower coverage/access, worse diagnostic accuracy, less provider compliance and less consumer adherence. We propose an evidence-based framework for equity-oriented knowledge translation to enhance community effectiveness and health equity. This framework is represented as a cascade of steps to assess and prioritize barriers and thus choose effective knowledge translation interventions that are tailored for relevant audiences (public, patient, practitioner, policy-maker, press and private sector), as well as the evaluation, monitoring and sharing of these strategies. We have used two examples of effective interventions (insecticide-treated bednets to prevent malaria and childhood immunization) to illustrate how this framework can provide a systematic method for decision-makers to ensure the application of evidence-based knowledge in disadvantaged populations. Future work to empirically validate and evaluate the usefulness of this framework is needed. We invite researchers and implementers to use the cascade for equity-oriented knowledge translation as a guide when planning implementation strategies for proven effective interventions. We also encourage policy-makers and health-care managers to use this framework when deciding how effective interventions can be implemented in their own settings. PMID:16917652

  17. Australian Indigenous Knowledge and Libraries

    ERIC Educational Resources Information Center

    Nakata, Martin, Ed.; Langton, Marcia, Ed.

    2005-01-01

    In response to significant changes in the Indigenous information landscape, the State Library of New South Wales and Jumbunna Indigenous House of Learning, University of Technology, Sydney, hosted a Colloquium, "Libraries and Indigenous Knowledge," in December 2004. The two-day Colloquium brought together professionals, practitioners and academics…

  18. Situating Knowledges as Coalition Work

    ERIC Educational Resources Information Center

    Ford, Maureen

    2007-01-01

    In this essay Maureen Ford examines a selection of situated knowledges discourses in order to make explicit their attention to political effects. She contends, first, that the "epistemic public(s)" constituted through these discourses are multiple, interactive, performative, and layered, and further that they are explicitly political in ways that…

  19. Acquiring Knowledge from Asynchronous Discussion

    ERIC Educational Resources Information Center

    Teo, Yiong Hwee; Webster, Len

    2008-01-01

    This article discusses a study which was designed to explore how online scaffolding can be incorporated to support knowledge acquisition in asynchronous discussion. A group of Singapore preservice teachers engaged in collaborative critiquing of videos before they embarked on their video projects to illustrate what constitutes good and bad video…

  20. Public Knowledge and Its Discontents

    ERIC Educational Resources Information Center

    Kitcher, Philip

    2011-01-01

    Ideally, public knowledge should encapsulate the achievements of millennia of inquiry, making them available to individuals and groups for the promotion of their various ends. I explore the ways in which the actual situation fails to live up to this ideal. Our investigations are not always directed towards the questions of most concern to most…

  1. Representing and acquiring geographic knowledge

    SciTech Connect

    Davis, E.

    1986-01-01

    This book presents a theory of how knowledge of a large-scale neighborhood can be represented symbolically in a computer program, accessed for use, and increased by experience. The discussion analyzes related work in the field, presents an actual computer implementation, and suggests areas for further research.

  2. Representing and acquiring geographic knowledge

    SciTech Connect

    Davis, E.

    1986-01-01

    Intended for researchers and students in AI, cognitive psychology, and computational geometry, this work presents an original theory of how knowledge of a large-scale neighborhood can be represented symbolically in a computer program, accessed for use, and increased by experience. The discussion analyzes related work in the field, presents an actual computer implementation, and suggests areas for further research.

  3. Military Deployments: Evaluating Teacher Knowledge

    ERIC Educational Resources Information Center

    Thomas, Richard M.

    2011-01-01

    This mixed method study examined the possible influence of a military deployment online tutorial on teacher knowledge. DoDEA and public school teachers were the two groups used for the study. From this exploratory study, the researcher also wanted to explore if teachers would find professional development provided in an online tutorial relevant…

  4. Epistemology of knowledge based simulation

    SciTech Connect

    Reddy, R.

    1987-04-01

    Combining artificial intelligence concepts, with traditional simulation methodologies yields a powerful design support tool known as knowledge based simulation. This approach turns a descriptive simulation tool into a prescriptive tool, one which recommends specific goals. Much work in the area of general goal processing and explanation of recommendations remains to be done.

  5. Parental knowledge of paediatric vaccination

    PubMed Central

    Borràs, Eva; Domínguez, Àngela; Fuentes, Miriam; Batalla, Joan; Cardeñosa, Neus; Plasencia, Antoni

    2009-01-01

    Background Although routine vaccination is a major tool in the primary prevention of some infectious diseases, there is some reluctance in a proportion of the population. Negative parental perceptions of vaccination are an important barrier to paediatric vaccination. The aim of this study was to investigate parental knowledge of paediatric vaccines and vaccination in Catalonia. Methods A retrospective, cross-sectional study was carried out in children aged < 3 years recruited by random sampling from municipal districts of all health regions of Catalonia. The total sample was 630 children. Parents completed a standard questionnaire for each child, which included vaccination coverage and knowledge about vaccination. The level of knowledge of vaccination was scored according to parental answers. Results An association was observed between greater vaccination coverage of the 4:4:4:3:1 schedule (defined as: 4 DTPa/w doses, 4 Hib doses, 4 OPV doses, 3 MenC doses and 1 MMR dose) and maternal age >30 years (OR: 2.30; 95% CI: 1.20–4.43) and with a knowledge of vaccination score greater than the mean (OR: 0.45; 95% CI: 0.28–0.72). The score increased with maternal educational level and in parents of vaccinated children. A total of 20.47% of parents stated that vaccines could have undesirable consequences for their children. Of these, 23.26% had no specific information and 17.83% stated that vaccines can cause adverse reactions and the same percentage stated that vaccines cause allergies and asthma. Conclusion Higher vaccination coverage is associated with older maternal age and greater knowledge of vaccination. Vaccination coverage could be raised by improving information on vaccines and vaccination. PMID:19473498

  6. A Personnel Centric Knowledge Management System

    NASA Astrophysics Data System (ADS)

    Chakraborty, Baisakhi; Gautam, Meghbartma

    A Knowledge Management System (KMS) is designed to serve as an effective tool for the proper extraction, utilization and dissemination of knowledge. Traditional KMS models incur cost overhead on the extraction of tacit knowledge and conversion to explicit knowledge. The proposed model in this paper takes the concept of mining the tacit knowledge and using it in the KMS instead of following conventional KMS norms. Through interactions and socialization of the personnel participating in the system, the tacit knowledge is extracted, converted to explicit knowledge and preserved in the Knowledge Management System through proper maintenance of knowledge repository. Our model is based on the technology that encourages active participation and sharing of tacit knowledge through interactions of individuals in the knowledge environment. The model builds a database of queries based on user feedback and the database is enhanced and maintained through creation of tags that makes the KMS dynamic and easily maintainable.

  7. Knowledge information management toolkit and method

    DOEpatents

    Hempstead, Antoinette R.; Brown, Kenneth L.

    2006-08-15

    A system is provided for managing user entry and/or modification of knowledge information into a knowledge base file having an integrator support component and a data source access support component. The system includes processing circuitry, memory, a user interface, and a knowledge base toolkit. The memory communicates with the processing circuitry and is configured to store at least one knowledge base. The user interface communicates with the processing circuitry and is configured for user entry and/or modification of knowledge pieces within a knowledge base. The knowledge base toolkit is configured for converting knowledge in at least one knowledge base from a first knowledge base form into a second knowledge base form. A method is also provided.

  8. A Property Restriction Based Knowledge Merging Method

    NASA Astrophysics Data System (ADS)

    Che, Haiyan; Chen, Wei; Feng, Tie; Zhang, Jiachen

    Merging new instance knowledge extracted from the Web according to certain domain ontology into the knowledge base (KB for short) is essential for the knowledge management and should be processed carefully, since this may introduce redundant or contradictory knowledge, and the quality of the knowledge in the KB, which is very important for a knowledge-based system to provide users high quality services, will suffer from such "bad" knowledge. Advocates a property restriction based knowledge merging method, it can identify the equivalent instances, redundant or contradictory knowledge according to the property restrictions defined in the domain ontology and can consolidate the knowledge about equivalent instances and discard the redundancy and conflict to keep the KB compact and consistent. This knowledge merging method has been used in a semantic-based search engine project: CRAB and the effect is satisfactory.

  9. Reconceptualizing Knowledge at the Mathematical Horizon

    ERIC Educational Resources Information Center

    Zazkis, Rina; Mamolo, Ami

    2011-01-01

    This article extends the notion of "knowledge at the mathematical horizon" or "horizon knowledge" introduced by Ball and colleagues as a part of teachers' subject matter knowledge. Our focus is on teachers' mathematical knowledge beyond the school curriculum, that is, on mathematics learnt during undergraduate college or university studies. We…

  10. Personal Knowledge Management for Employee Commoditization

    ERIC Educational Resources Information Center

    Schild, Susie A.

    2013-01-01

    Knowledge management thinking has resulted in the perception that the organization is the relevant beneficiary of knowledge. Individual approaches to and experiences with personal knowledge management are not well documented in empirical studies, which uncovered the specific problem that the situatedness of knowledge worker contemporaries within…

  11. Knowledge Searching and Sharing on Virtual Networks.

    ERIC Educational Resources Information Center

    Helokunnas, Tuija; Herrala, Juha

    2001-01-01

    Describes searching and sharing of knowledge on virtual networks, based on experiences gained when hosting virtual knowledge networks at Tampere University of Technology in Finland. Discusses information and knowledge management studies; role of information technology in knowledge searching and sharing; implementation and experiences of the…

  12. Athletic Trainers' Knowledge Regarding Airway Adjuncts

    ERIC Educational Resources Information Center

    Edler, Jessica R.; Eberman, Lindsey E.; Kahanov, Leamor; Roman, Christopher; Mata, Heather Lynne

    2015-01-01

    Context: Research suggests that knowledge gaps regarding the appropriate use of airway adjuncts exist among various health care practitioners, and that knowledge is especially limited within athletic training. Objective: To determine the relationship between perceived knowledge (PK) and actual knowledge (AK) of airway adjunct use and the…

  13. Tacit Knowledge Barriers within Franchise Organizations

    ERIC Educational Resources Information Center

    Cumberland, Denise M.; Githens, Rod P.

    2010-01-01

    This paper reviews knowledge management in the context of a franchise business operation, with a focus on tacit knowledge barriers. In a franchise organization, the transfer of knowledge occurs on multiple levels and has an added level of complexity because of the number of partners and relationships. Tacit knowledge transfer should occur…

  14. A Postmodern Theory of Knowledge Organization.

    ERIC Educational Resources Information Center

    Mai, Jens-Erik

    1999-01-01

    Suggests a postmodern theory regarding knowledge organizations as active constructions of a perceived conception of particular discourse communities in the company, organization or knowledge fields for which the knowledge organization is intended. In this view, the interpretive process in knowledge organization and the culture and social context…

  15. Knowledge Management Analysis: A Case Study

    ERIC Educational Resources Information Center

    Mecha, Ezi I.; Desai, Mayur S.; Richards, Thomas C.

    2009-01-01

    It is imperative for businesses to manage knowledge and stay competitive in the marketplace. Knowledge management is critical and is a key to prevent organizations from duplicating their efforts with a subsequent improvement in their efficiency. This study focuses on overview of knowledge management, analyzes the current knowledge management in…

  16. Knowledge Management: A Teacher Educator's Perspective

    ERIC Educational Resources Information Center

    Mohan, Radha

    2005-01-01

    Knowledge Management can be defined as a systematic process that creates, captures, shares, and analyzes knowledge in ways that directly improve performance. The goal of Knowledge Management is to improve the creation, dissemination, and exploitation of knowledge for the purpose of building competitive advantage. The proper use of knowledge…

  17. Supported Workplace Learning: A Knowledge Transfer Paradigm

    ERIC Educational Resources Information Center

    Burns, George R.; Paton, Robert R.

    2005-01-01

    The importance of knowledge to the effective development of economic growth in the twenty-first century has led to a number of initiatives such as lifelong learning, skills development and knowledge transfer. Of these, knowledge transfer has predominantly been concerned with the commercial exploitation of research knowledge. This article suggests…

  18. Early Predictors of Middle School Fraction Knowledge

    ERIC Educational Resources Information Center

    Bailey, Drew H.; Siegler, Robert S.; Geary, David C.

    2014-01-01

    Recent findings that earlier fraction knowledge predicts later mathematics achievement raise the question of what predicts later fraction knowledge. Analyses of longitudinal data indicated that whole number magnitude knowledge in first grade predicted knowledge of fraction magnitudes in middle school, controlling for whole number arithmetic…

  19. 14 CFR 61.155 - Aeronautical knowledge.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 14 Aeronautics and Space 2 2010-01-01 2010-01-01 false Aeronautical knowledge. 61.155 Section 61....155 Aeronautical knowledge. (a) General. The knowledge test for an airline transport pilot certificate is based on the aeronautical knowledge areas listed in paragraph (c) of this section that...

  20. 49 CFR 383.111 - Required knowledge.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 49 Transportation 5 2010-10-01 2010-10-01 false Required knowledge. 383.111 Section 383.111... STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.111 Required knowledge. All commercial motor vehicle operators must have knowledge of the following general areas: (a) Safe...

  1. What Is Technological Pedagogical Content Knowledge (TPACK)?

    ERIC Educational Resources Information Center

    Koehler, Mathew J.; Mishra, Punya; Cain, William

    2013-01-01

    This paper describes TPACK, technological pedagogical content knowledge (originally TPCK), a teacher knowledge framework for technology integration that builds on Lee S. Shulman's construct of pedagogical content knowledge to include technology knowledge. The paper begins with a brief introduction to the complex, ill-structured nature of teaching.…

  2. Sociospatial Knowledge Networks: Appraising Community as Place.

    ERIC Educational Resources Information Center

    Skelly, Anne H.; Arcury, Thomas A.; Gesler, Wilbert M.; Cravey, Altha J.; Dougherty, Molly C.; Washburn, Sarah A.; Nash, Sally

    2002-01-01

    A new theory of geographical analysis--sociospatial knowledge networks--provides a framework for understanding the social and spatial locations of a community's health knowledge and beliefs. This theory is guiding an ethnographic study of health beliefs, knowledge, and knowledge networks in a diverse rural community at high risk for type-2…

  3. Externalization of Tacit Knowledge in Online Environments

    ERIC Educational Resources Information Center

    Yi, Jialin

    2006-01-01

    Knowledge, especially tacit knowledge, has gained more and more attention in recent years. The author claims that, with the development of information technology, more knowledge sharing takes place online rather than face-to-face. The purpose of this study is to explore how tacit knowledge is externalized in online environments. To answer this…

  4. [Mothers' knowledge about exclusive breastfeeding].

    PubMed

    da Silva, Nichelle Monique; Waterkemper, Roberta; da Silva, Eveline Franco; Cordova, Fernanda Peixoto; Bonilha, Ana Lucia de Lourenzi

    2014-01-01

    This is a descriptive study, with a qualitative approach, aimed to identify the knowledge of puerperal women on exclusive breastfeeding. Data were collected between September-October 2011, through semi-structured interview. Thirteen puerperal women, interned in a rooming unit of a public institution in the city of Caxias do Sul-RS, participated in the study. Data analysis was performed using thematic analysis. From the interpretation of information three categories emerged: the knowledge about exclusive breastfeeding, the breastfeeding process and the influences of received information. Even getting information from health professionals in the prenatal period, it is possible to understand that there is a need to improve communication and monitoring of mothers, as a continuity of professional care in the postpartum period, and also later, in the remote.

  5. Cooperating knowledge-based systems

    NASA Technical Reports Server (NTRS)

    Feigenbaum, Edward A.; Buchanan, Bruce G.

    1988-01-01

    This final report covers work performed under Contract NCC2-220 between NASA Ames Research Center and the Knowledge Systems Laboratory, Stanford University. The period of research was from March 1, 1987 to February 29, 1988. Topics covered were as follows: (1) concurrent architectures for knowledge-based systems; (2) methods for the solution of geometric constraint satisfaction problems, and (3) reasoning under uncertainty. The research in concurrent architectures was co-funded by DARPA, as part of that agency's Strategic Computing Program. The research has been in progress since 1985, under DARPA and NASA sponsorship. The research in geometric constraint satisfaction has been done in the context of a particular application, that of determining the 3-D structure of complex protein molecules, using the constraints inferred from NMR measurements.

  6. Applications of Ontologies in Knowledge Management Systems

    NASA Astrophysics Data System (ADS)

    Rehman, Zobia; Kifor, Claudiu V.

    2014-12-01

    Enterprises are realizing that their core asset in 21st century is knowledge. In an organization knowledge resides in databases, knowledge bases, filing cabinets and peoples' head. Organizational knowledge is distributed in nature and its poor management causes repetition of activities across the enterprise. To get true benefits from this asset, it is important for an organization to "know what they know". That's why many organizations are investing a lot in managing their knowledge. Artificial intelligence techniques have a huge contribution in organizational knowledge management. In this article we are reviewing the applications of ontologies in knowledge management realm

  7. Knowledge management: implications for human service organizations.

    PubMed

    Austin, Michael J; Claassen, Jennette; Vu, Catherine M; Mizrahi, Paola

    2008-01-01

    Knowledge management has recently taken a more prominent role in the management of organizations as worker knowledge and intellectual capital are recognized as critical to organizational success. This analysis explores the literature of knowledge management including the individual level of tacit and explicit knowledge, the networks and social interactions utilized by workers to create and share new knowledge, and the multiple organizational and managerial factors associated with effective knowledge management systems. Based on the role of organizational culture, structure, leadership, and reward systems, six strategies are identified to assist human service organizations with implementing new knowledge management systems. PMID:19064454

  8. Classification of knowledge-intensive organizations

    NASA Astrophysics Data System (ADS)

    Marquart, Edward J.

    Managing knowledge workers in knowledge-intensive organizations has become important because knowledge itself is emerging as a primary sustainable competitive advantage. This dissertation traces the development of two important items related to knowledge-intensive organizations. First, it documents a careful study of the literature which allows for the construction of a Knowledge-Intensity Continuum. This continuum then forms the basis for the development of a Knowledge-Intensity Assessment survey instrument which allows an organization to be placed along this continuum. A cross-section of research, consulting, and manufacturing organizations was surveyed using this instrument. The findings provided evidence that supports the validity of the Knowledge-Intensity Continuum. Additionally, onsite interviews provided evidence that the Knowledge-Intensity Assessment survey can be used as a tool to locate any organization on this continuum. Using this survey to clearly identify knowledge-intensive organizations will allow for further research into effective management systems for knowledge workers in these organizations.

  9. Ethical Perspectives on Knowledge Translation in Rehabilitation

    PubMed Central

    Banja, John D.; Eisen, Arri

    2013-01-01

    Although the literature on the ethical dimensions of knowledge creation, use, and dissemination is voluminous, it has not particularly examined the ethical dimensions of knowledge translation in rehabilitation. Yet, whether research is done in a wet lab or treatments are provided to patients in therapeutic settings, rehabilitation professionals commonly use (as well as create) knowledge and disseminate it to peers, patients, and various others. This article will refer to knowledge creation, use, and transfer as knowledge translation and examine some of its numerous ethical challenges. Three ethical dimensions of knowledge translation will particularly attract our attention: (1) the quality of knowledge disseminated to rehabilitationists; (2) ethical challenges in being too easily persuaded by or unreasonably resistant to putative knowledge; and (3) organizational barriers to knowledge translation. We will conclude with some recommendations on facilitating the ethical soundness of knowledge translation in rehabilitation. PMID:23168302

  10. Neural subsystems for object knowledge.

    PubMed

    Hart, J; Gordon, B

    1992-09-01

    Critical issues in the cognitive neuroscience of language are whether there are multiple systems for the representation of meaning, perhaps organized by processing system (such as vision or language), and whether further subsystems are distinguishable within these larger ones. We describe here a patient (K.R.) with cerebral damage whose pattern of acquired deficits offers direct evidence for a major division between visually based and language-based higher-level representations, and for processing subsystems within language. K.R. could not name animals regardless of the type of presentation (auditory or visual), but had no difficulty naming other living things and objects. When asked to describe verbally the physical attributes of animals (for example, 'what colour is an elephant?'), she was strikingly impaired. Nevertheless, she could distinguish the correct physical attributes of animals when they were presented visually (she could distinguish animals that were correctly coloured from those that were not). Her knowledge of input stimulus. To explain this selective deficit, these data mandate the existence of two distinct representations of such properties in normal individuals, one visually based and one language-based. Furthermore, these data establish that knowledge of physical attributes is strictly segregated from knowledge of other properties in the language system.

  11. Basic Cosmic Knowledge, Circa 2010

    NASA Astrophysics Data System (ADS)

    Mimouni, J.

    2010-10-01

    What is the minimum knowledge an educated scientist should fathom about the modern Universe, so as to be the ``l'honnête homme'' of this early 21st century? Thanks on the one hand to great theoretical strides, and on the other hand to a wide array of telescopes and detectors on the ground, as well as a flotilla of space borne like means, a new picture of the Universe have emerged: From a violent one in X and Gamma rays for highly energetic processes, to a warmer one in IR able to penetrate planetary cocoons, to a lukewarm one in microwave to go back to the earliest instants of the Universe, all the way to a quiet radio one (In fact misleadingly calm...) for extragalactic astronomy, each telling its own dedicated account. This exciting story which is unfolding in front of our very eyes is multi-band, multi scales, multi carriers, and there is even large shadowy areas going by the name of Dark Matter and Dark Energy which might constitute 21st century physics! Well, what is thus the knowledge of the cosmos we feel confident about today, and what are its various grey areas? That's `Basic Cosmic Knowledge 2010'' or BCK-2010!.

  12. Automated knowledge-base refinement

    NASA Technical Reports Server (NTRS)

    Mooney, Raymond J.

    1994-01-01

    Over the last several years, we have developed several systems for automatically refining incomplete and incorrect knowledge bases. These systems are given an imperfect rule base and a set of training examples and minimally modify the knowledge base to make it consistent with the examples. One of our most recent systems, FORTE, revises first-order Horn-clause knowledge bases. This system can be viewed as automatically debugging Prolog programs based on examples of correct and incorrect I/O pairs. In fact, we have already used the system to debug simple Prolog programs written by students in a programming language course. FORTE has also been used to automatically induce and revise qualitative models of several continuous dynamic devices from qualitative behavior traces. For example, it has been used to induce and revise a qualitative model of a portion of the Reaction Control System (RCS) of the NASA Space Shuttle. By fitting a correct model of this portion of the RCS to simulated qualitative data from a faulty system, FORTE was also able to correctly diagnose simple faults in this system.

  13. Morphological knowledge and literacy acquisition.

    PubMed

    Nagy, William E; Carlisle, Joanne F; Goodwin, Amanda P

    2014-01-01

    The purpose of this special issue of the Journal of Learning Disabilities is to bring to the attention of researchers and educators studies on morphology and literacy that either involve students with learning difficulties or have educational implications for teaching such students. In our introduction, we first provide background information about morphological knowledge and consider the role of morphology in literacy, focusing on findings that are relevant for instruction of students who struggle with reading and writing. Next we present an overview of the studies included in this issue, organized by current issues concerning the role of morphological knowledge in literacy. Collectively, the articles in this issue suggest that students with weaker literacy skills tend to lag behind their peers in morphological knowledge but that all students are likely to benefit from morphological instruction. Morphological interventions hold promise, especially for students who face challenges in language learning and literacy, but additional research is needed to provide a basis for informed decisions about the design of effective morphological interventions. PMID:24219917

  14. Public knowledge and public trust.

    PubMed

    Cunningham-Burley, Sarah

    2006-01-01

    As health care applications derived from human genetics research are likely to move increasingly from 'clinic to community', there is growing interest not just in how patients understand and take up health-related genetic information but also in the views of the wider population, as well as a range of professional groups. In this paper, issues relating public knowledge and public trust are raised and discussed in an attempt to move forward debates about public involvement in genomic research and the role of sociologists within interdisciplinary teams. As the field of public understanding of science has developed, we have seen a shift from a focus on the lack of scientific literacy as problem to a recognition of the range of different knowledges that people have and use as they confront science and technology in their everyday lives. As a mood for dialogue pervades many institutions in their relations with 'publics', attention must now be paid to the way in which knowledge and expertise is expressed, heard and acted upon in dialogic encounters. There is increasing concern about public trust in science and calls to increase public confidence, particularly through more open engagement with a range of publics. However, lack of trust or loss of confidence may be constructed as problems rather than reflecting empirical reality, where more complex relationships and attitudes prevail. Lack of trust is often privatized, deeply rooted in lived experience and routinely managed. Trust relations are generally characterized by ambivalence, uncertainty and risk, and are always provisional. Drawing on selected literature and empirical research to review and illustrate this field, this paper argues that scepticism or ambivalence on the part of publics are not necessarily problems to be overcome in the interest of scientific progress, but rather should be mobilized to enhance open and public debates about the nature and direction of genomics research, medicine, and the related

  15. Perspectives on knowledge in engineering design

    NASA Technical Reports Server (NTRS)

    Rasdorf, W. J.

    1985-01-01

    Various perspectives are given of the knowledge currently used in engineering design, specifically dealing with knowledge-based expert systems (KBES). Constructing an expert system often reveals inconsistencies in domain knowledge while formalizing it. The types of domain knowledge (facts, procedures, judgments, and control) differ from the classes of that knowledge (creative, innovative, and routine). The feasible tasks for expert systems can be determined based on these types and classes of knowledge. Interpretive tasks require reasoning about a task in light of the knowledge available, where generative tasks create potential solutions to be tested against constraints. Only after classifying the domain by type and level can the engineer select a knowledge-engineering tool for the domain being considered. The critical features to be weighed after classification are knowledge representation techniques, control strategies, interface requirements, compatibility with traditional systems, and economic considerations.

  16. Native Geoscience: Pathways to Knowledge

    NASA Astrophysics Data System (ADS)

    Bolman, J. R.; Seielstad, G.

    2006-12-01

    We are living in a definite time of change. Distinct changes are being experienced in our most sacred and natural environments. This is especially true on Native lands. Native people have lived for millennia in distinct and unique ways. The knowledge of balancing the needs of people with the needs of our natural environments is paramount in all tribal societies. This inherent accumulated knowledge has become the foundation on which to build a "blended" contemporary understanding of western science. The Dakota's and Northern California have embraced the critical need of understanding successful tribal strategies to engage educational systems (K-12 and higher education), to bring to prominence the professional development opportunities forged through working with tribal peoples and ensure the continued growth of Native earth and environmental scientists The presentation will highlight: 1) past and present philosophies on building and maintaining Native/Tribal students in earth and environmental sciences; 2) successful educational programs/activities in PreK-Ph.D. systems; 3) current Native leadership development in earth and environmental sciences; and 4) forward thinking for creating proaction collaborations addressing sustainable environmental, educational and social infrastructures for all people. Humboldt State University (HSU) and the University of North Dakota's Northern Great Plains Center for People and the Environment and the Upper Midwest Aerospace Consortium (UMAC) have been recognized nationally for their partnerships with Native communities. Unique collaborations are emerging "bridging" Native people across geographic areas in developing educational/research experiences which integrate the distinctive earth/environmental knowledge of tribal people. The presentation will highlight currently funded projects and initiatives as well as success stories of emerging Native earth system students and scientists.

  17. Using Knowledge Packets in Teacher Education to Develop Pedagogical Content Knowledge

    ERIC Educational Resources Information Center

    Ward, Phillip; Ayvazo, Shiri; Lehwald, Harry

    2014-01-01

    Physical education teachers need to know their content and also how to teach their content. These two forms of knowledge are not the same. They can be distinguished as knowledge needed to perform content, called common content knowledge; and additional knowledge needed to teach the content, called specialized content knowledge. It is clear from…

  18. Different Forms of Knowledge and New Chinese Skilled Immigrants' Adaptation to New Zealand's Knowledge Society

    ERIC Educational Resources Information Center

    Wang, Hong; Thorns, David

    2009-01-01

    Although it is widely accepted that knowledge plays a key role in the economic activities and social life of knowledge societies, our understanding of what counts as knowledge is often incomplete. The explicit features of knowledge enable it to be codified and thus disseminated globally. This can lead to all knowledge simply being reduced to…

  19. Implicit Media Knowledge Experiments & Results

    NASA Astrophysics Data System (ADS)

    Ly, Muy-Chu; Germaneau, Alexis

    2011-08-01

    Implicit Media Knowledge aims to provide relevant information related to visual media without effort. It is based on the analysis of media usage from several users (e.g. a community). Algorithms based on clustering methods that extract relevant information (e.g. tags, taxonomy trees) related to a media from its usage are detailed. To validate our new approach, we propose to apply our concept and algorithms on a specific media use such as the analysis of how multiple users organize their media files. Significant results of two experiments will be highlighted. Perspectives of our work will be finally presented.

  20. Knowledge based jet engine diagnostics

    NASA Technical Reports Server (NTRS)

    Jellison, Timothy G.; Dehoff, Ronald L.

    1987-01-01

    A fielded expert system automates equipment fault isolation and recommends corrective maintenance action for Air Force jet engines. The knowledge based diagnostics tool was developed as an expert system interface to the Comprehensive Engine Management System, Increment IV (CEMS IV), the standard Air Force base level maintenance decision support system. XMAM (trademark), the Expert Maintenance Tool, automates procedures for troubleshooting equipment faults, provides a facility for interactive user training, and fits within a diagnostics information feedback loop to improve the troubleshooting and equipment maintenance processes. The application of expert diagnostics to the Air Force A-10A aircraft TF-34 engine equipped with the Turbine Engine Monitoring System (TEMS) is presented.

  1. Public knowledge about AIDS increasing.

    PubMed

    Campbell, M J; Waters, W E

    1987-04-01

    In response to concern over the perceived limited effectiveness of Department of Health and Social Security (UK) advertising campaigns to inform the public of the basic facts of Acquired Immunodeficiency Syndrome (AIDS), a prospective questionnaire study was undertaken in Southampton, England to test the effectiveness of government education prior to a January, 1987 government television/leaflet advertising campaign. 300 questionnaires about AIDS were mailed in December of 1986 to a sample drawn from electoral rolls. The response rate was 61%. Most of the questions were drawn from material covered in the campaign. The results seemed to indicate a small overall increase in knowledge about AIDS. Some changes from a June survey were noted, e.g.: more people were aware that AIDS is a virus for which there is no cure and that it is not readily transmitted by sharing washing, eating or drinking utensils; more people believed that the statement that women are at greater risk for catching AIDS is false. Respondents were generally favorable to the government's continued use of television, even with explicit language, and to its use of the schools, for AIDS education. Many were not aware of the dangers to intravenous drug users or of the symptoms of AIDS. Other surveys have shown an increasing knowledge of AIDS dangers. It is possible that television coverage of the problem will continue to be necessary, in order that less literate populations be reached. Further AIDS health education in general is needed. PMID:3105789

  2. Knowledge Discovery from Vibration Measurements

    PubMed Central

    Li, Jian; Wang, Daoyao

    2014-01-01

    The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM). However, as a part of the overall process of knowledge discovery from data bases (KDD), the results of pattern recognition are only changes and patterns of changes of data features. In this paper, based on the similarity between KDD and SHM and considering the particularity of SHM problems, a four-step framework of SHM is proposed which extends the final goal of SHM from detecting damages to extracting knowledge to facilitate decision making. The purposes and proper methods of each step of this framework are discussed. To demonstrate the proposed SHM framework, a specific SHM method which is composed by the second order structural parameter identification, statistical control chart analysis, and system reliability analysis is then presented. To examine the performance of this SHM method, real sensor data measured from a lab size steel bridge model structure are used. The developed four-step framework of SHM has the potential to clarify the process of SHM to facilitate the further development of SHM techniques. PMID:24574933

  3. Knowledge discovery from vibration measurements.

    PubMed

    Deng, Jun; Li, Jian; Wang, Daoyao

    2014-01-01

    The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM). However, as a part of the overall process of knowledge discovery from data bases (KDD), the results of pattern recognition are only changes and patterns of changes of data features. In this paper, based on the similarity between KDD and SHM and considering the particularity of SHM problems, a four-step framework of SHM is proposed which extends the final goal of SHM from detecting damages to extracting knowledge to facilitate decision making. The purposes and proper methods of each step of this framework are discussed. To demonstrate the proposed SHM framework, a specific SHM method which is composed by the second order structural parameter identification, statistical control chart analysis, and system reliability analysis is then presented. To examine the performance of this SHM method, real sensor data measured from a lab size steel bridge model structure are used. The developed four-step framework of SHM has the potential to clarify the process of SHM to facilitate the further development of SHM techniques.

  4. Lexical knowledge without a lexicon?

    PubMed Central

    Elman, Jeffrey L.

    2011-01-01

    Although for many years a sharp distinction has been made in language research between rules and words — with primary interest on rules — this distinction is now blurred in many theories. If anything, the focus of attention has shifted in recent years in favor of words. Results from many different areas of language research suggest that the lexicon is representationally rich, that it is the source of much productive behavior, and that lexically specific information plays a critical and early role in the interpretation of grammatical structure. But how much information can or should be placed in the lexicon? This is the question I address here. I review a set of studies whose results indicate that event knowledge plays a significant role in early stages of sentence processing and structural analysis. This poses a conundrum for traditional views of the lexicon. Either the lexicon must be expanded to include factors that do not plausibly seem to belong there; or else virtually all information about word meaning is removed, leaving the lexicon impoverished. I suggest a third alternative, which provides a way to account for lexical knowledge without a mental lexicon. PMID:22069438

  5. [Nephrology: knowledge and digital memory].

    PubMed

    Sancipriano, Gian Piero

    2016-01-01

    Mathematical sciences have had a huge development with the use of numbers, which is used to process images, sounds and computer languages. Medical knowledge is collected in databases in text format (groups of words). So far, words in Medicine have never been processed and we are not currently able to create connections between them in any way. With mathematical logic, words can be treated as numbers. Words, using logical connectives, become more and more calculable and developable with the support of mathematical and computer sciences. The words in medicine may have the same development of the numbers in mathematical sciences. Words that belong to the history of the patient, physical examinations and clinical data can be gathered in tables, therefore, they can be made available to computer applications, creating a digital memory by presenting it as required by the doctor. The author believes that the clinical reasoning of the Doctor uses connectives available in mathematical logic. Therefore, thought can be supported by mathematical calculation. Knowledge engineering programs will develop data return or self-generated algorithms, up to the future use of artificial intelligence in the field of nephrology. PMID:27374396

  6. System for renal movement elimination and renal diagnosis supported by vague knowledge

    NASA Astrophysics Data System (ADS)

    Martin, Jens; Hiltner, Jens; Fathi, Madjid; Reusch, Bernd; Stattaus, Joerg; Hacklaender, Thomas

    2000-06-01

    For the analysis of renal function, sequences of 90 magnet resonance images of the abdominal region showing both kidneys are taken in intervals of two seconds after a contrast medium was applied. Respiration of the patients during the acquisition of the images leads to organ movements throughout the series. These displacements are corrected by using an extended cepstral technique. To minimize registration errors caused by inhomogeneous movements of organs and tissues during respiration, the cepstrum-relevant part of the images is limited to small regions of interest around both kidneys. Even organ movements of sub-pixel range can be detected. After correction, the kidneys are the same position throughout the sequence. The regions of interest marked in one image are projected to all other images. To archive diagnostic results, dynamic contrast medium evaluations for different tissues of the kidneys are computed with signal-intensity-time graphs. Using a-priori knowledge about parameters of the SIT-graph for a whole kidney and about organ shape and structure, pixels of the kidney-segment are divided into the three classes renal cortex, medulla and pelvis. As a result, precise graphs can be computed for each tissue. The evaluation of the system is in progress, time save is more than one hour per patient.

  7. A New Approach to Nuclear Warhead Verification Using a Zero-Knowledge Protocol

    SciTech Connect

    Glaser,; Alexander,

    2012-05-16

    Warhead verification systems proposed to date fundamentally rely on the use of information barriers to prevent the release of classified design information. Measurements with information carriers significantly increase the complexity of inspection systems, make their certification and authentication difficult, and may reduce the overall confidence in the verifiability of future arms- control agreements. This talk presents a proof-of-concept of a new approach to nuclear warhead verification that minimizes the role of information barriers from the outset and envisions instead an inspection system that a priori avoids leakage of sensitive information using a so-called zero-knowledge protocol. The proposed inspection system is based on the template-matching approach and relies on active interrogation of a test object with 14-MeV neutrons. The viability of the method is examined with MCNP Monte Carlo neutron transport calculations modeling the experimental setup, an investigation of different diversion scenarios, and an analysis of the simulated data showing that it does not contain information about the properties of the inspected object.

  8. A Discussion of Knowledge Based Design

    NASA Technical Reports Server (NTRS)

    Wood, Richard M.; Bauer, Steven X. S.

    1999-01-01

    A discussion of knowledge and Knowledge- Based design as related to the design of aircraft is presented. The paper discusses the perceived problem with existing design studies and introduces the concepts of design and knowledge for a Knowledge- Based design system. A review of several Knowledge-Based design activities is provided. A Virtual Reality, Knowledge-Based system is proposed and reviewed. The feasibility of Virtual Reality to improve the efficiency and effectiveness of aerodynamic and multidisciplinary design, evaluation, and analysis of aircraft through the coupling of virtual reality technology and a Knowledge-Based design system is also reviewed. The final section of the paper discusses future directions for design and the role of Knowledge-Based design.

  9. Asthma knowledge amongst paediatric trainees and parents.

    PubMed

    Prendergast, M W; Sherlock, M E; O'Neill, M B

    2007-02-01

    To achieve asthma control adequate knowledge of the disease is required. Knowledge levels of thirty five specialist registrars and one hundred and sixty parents of children attending an asthmatic clinic, prior to entry into a formalised asthma educational program, were assessed utilising a twenty stem questionnaire with eighty five statements. Three out of thirty five specialist registrars had adequate knowledge levels whilst the other thirty two had potentially adequate knowledge levels. Sixty two out of one hundred and sixty parents had potentially adequate knowledge levels and the other ninety eight had inadequate knowledge levels. Parental knowledge can be improved by formal educational programs. Deficiencies in doctors' knowledge should be addressed through a similar program rather than rely on experiential learning.

  10. Assessing Students' Accounting Knowledge: A Structural Approach.

    ERIC Educational Resources Information Center

    Boldt, Margaret N.

    2001-01-01

    Comparisons of students' representations of financial accounting concepts with the knowledge structures of experts were depicted using Pathfinder networks. This structural approach identified the level of students' understanding of concepts and knowledge gaps that need to be addressed. (SK)

  11. Learning, Knowledge Productivity and Strategic Progress.

    ERIC Educational Resources Information Center

    Harrison, Rosemary

    2000-01-01

    Review of literature on sociocognitive frameworks for organizations, organizational learning, and knowledge management indicates the importance of an integrative approach to learning and knowledge in organizations. Particularly important are corporate vision, organizational context, and management action. (Contains 89 references.) (SK)

  12. Knowledge Base Editor (SharpKBE)

    NASA Technical Reports Server (NTRS)

    Tikidjian, Raffi; James, Mark; Mackey, Ryan

    2007-01-01

    The SharpKBE software provides a graphical user interface environment for domain experts to build and manage knowledge base systems. Knowledge bases can be exported/translated to various target languages automatically, including customizable target languages.

  13. Early predictors of middle school fraction knowledge.

    PubMed

    Bailey, Drew H; Siegler, Robert S; Geary, David C

    2014-09-01

    Recent findings that earlier fraction knowledge predicts later mathematics achievement raise the question of what predicts later fraction knowledge. Analyses of longitudinal data indicated that whole number magnitude knowledge in first grade predicted knowledge of fraction magnitudes in middle school, controlling for whole number arithmetic proficiency, domain general cognitive abilities, parental income and education, race, and gender. Similarly, knowledge of whole number arithmetic in first grade predicted knowledge of fraction arithmetic in middle school, controlling for whole number magnitude knowledge in first grade and the other control variables. In contrast, neither type of early whole number knowledge uniquely predicted middle school reading achievement. We discuss the implications of these findings for theories of numerical development and for improving mathematics learning.

  14. An Assessment of Student Computer Ergonomic Knowledge.

    ERIC Educational Resources Information Center

    Alexander, Melody W.

    1997-01-01

    Business students (n=254) were assessed on their knowledge of computers, health and safety, radiation, workstations, and ergonomic techniques. Overall knowledge was low in all categories. In particular, they had not learned computer-use techniques. (SK)

  15. Design knowledge capture for the space station

    NASA Technical Reports Server (NTRS)

    Crouse, K. R.; Wechsler, D. B.

    1987-01-01

    The benefits of design knowledge availability are identifiable and pervasive. The implementation of design knowledge capture and storage using current technology increases the probability for success, while providing for a degree of access compatibility with future applications. The space station design definition should be expanded to include design knowledge. Design knowledge should be captured. A critical timing relationship exists between the space station development program, and the implementation of this project.

  16. [The difficult nursing's relationship with knowledge].

    PubMed

    Dallaire, Clémence

    2015-06-01

    This article claim the existence and the necessity of nursing knowledge and support this claim with definitions and rules from other disciplines, it summarizes briefly the evolution of nursing knowledge, mostly from a North American perspective, it examine its degree of presence in nursing scholarly work, to highlight some conclusions and present briefly two explanations related to the use and development of nursing knowledge by the nursing community. In conclusion, the necessity of learning, analyzing, testing and using nursing knowledge is reiterated.

  17. Becoming business critical: Knowledge for Healthcare.

    PubMed

    Lacey Bryant, Sue; Stewart, David; Goswami, Louise; Grant, Maria J

    2016-09-01

    Significant progress has been made in implementing Knowledge for Healthcare. This editorial reports the central contribution of effective partnerships and the involvement of librarians and knowledge specialists in this work. There are compelling business priorities. Key elements of work-streams on demonstrating impact, workforce development and streamlining are indicated, along with areas of growing importance - knowledge management, embedded roles and health information for the public and patients. Knowledge, and the skills to help people to use it, are business critical.

  18. Becoming business critical: Knowledge for Healthcare.

    PubMed

    Lacey Bryant, Sue; Stewart, David; Goswami, Louise; Grant, Maria J

    2016-09-01

    Significant progress has been made in implementing Knowledge for Healthcare. This editorial reports the central contribution of effective partnerships and the involvement of librarians and knowledge specialists in this work. There are compelling business priorities. Key elements of work-streams on demonstrating impact, workforce development and streamlining are indicated, along with areas of growing importance - knowledge management, embedded roles and health information for the public and patients. Knowledge, and the skills to help people to use it, are business critical. PMID:27503689

  19. Tradeoffs in the utility of learned knowledge

    NASA Technical Reports Server (NTRS)

    Kedar, Smadar; Mckusick, Kathleen B.

    1992-01-01

    Planning systems which make use of domain theories can produce more accurate plans and achieve more goals as the quality of their domain knowledge improves. MTR, a multi-strategy learning system, was designed to learn from system failures and improve domain knowledge used in planning. However, augmented domain knowledge can decrease planning efficiency. We describe how improved knowledge that becomes expensive to use can be approximated to yield calculated tradeoffs in accuracy and efficiency.

  20. Middle School Students' Knowledge of Autism

    ERIC Educational Resources Information Center

    Campbell, Jonathan M.; Barger, Brian D.

    2011-01-01

    Authors examined 1,015 middle school students' knowledge of autism using a single item of prior awareness and a 10-item Knowledge of Autism (KOA) scale. The KOA scale was designed to assess students' knowledge of the course, etiology, and symptoms associated with autism. Less than half of students (46.1%) reported having heard of autism; however,…

  1. Does Double Loop Learning Create Reliable Knowledge?

    ERIC Educational Resources Information Center

    Blackman, Deborah; Connelly, James; Henderson, Steven

    2004-01-01

    This paper addresses doubts concerning the reliability of knowledge being created by double loop learning processes. Popper's ontological worlds are used to explore the philosophical basis of the way that individual experiences are turned into organisational knowledge, and such knowledge is used to generate organisational learning. The paper…

  2. Procedural and Conceptual Knowledge: A Balanced Approach?

    ERIC Educational Resources Information Center

    Kridler, Patricia Gaffney

    2012-01-01

    Mathematics curricula tend to focus either on the development of procedural knowledge or conceptual knowledge yet research support an iterative development of these knowledge types. Research also suggests that teachers should move beyond strictly using curriculum and move toward being the developers of their curricula. Using multiple case study…

  3. School Nurses' Knowledge of Autism Spectrum Disorders

    ERIC Educational Resources Information Center

    Strunk, Julie A.

    2009-01-01

    The purpose of this study was to determine school nurses' working knowledge of autism spectrum disorders (ASDs). The current knowledge of school nurses was investigated by means of a mixed-method exploratory descriptive pilot study. Instrumentation included a scale that measured the knowledge of school nurses in regard to ASD, including medication…

  4. Children's Morphological Knowledge: Links to Literacy

    ERIC Educational Resources Information Center

    McCutchen, Deborah; Green, Laura; Abbott, Robert D.

    2008-01-01

    Using a reliable and broad-based measure of morphological awareness, which tapped knowledge of relational, syntactic, and distributional morphology, we examined the development of morphological knowledge among older elementary students and the relationship of their morphological knowledge to a range of literacy measures. We found that…

  5. Knowledge Management: Hype, Hope, or Help?

    ERIC Educational Resources Information Center

    Blair, David C.

    2002-01-01

    Examines the nature of knowledge management, particularly how it differs from data management and information management, and its relationship to the development of expert systems and decision support systems. Considers the importance of communities of practice and tacit knowledge for knowledge management. (Author/LRW)

  6. Knowledge Management and Global Information Dissemination

    ERIC Educational Resources Information Center

    Umunadi, Ejiwoke Kennedy

    2014-01-01

    The paper looked at knowledge management and global information dissemination. Knowledge is a very powerful tool for survival, growth and development. It can be seen as the information, understanding and skills that you gain through education or experience. The paper was addressed under the following sub-headings: Knowledge management knowledge…

  7. Policy impacts of ecosystem services knowledge.

    PubMed

    Posner, Stephen M; McKenzie, Emily; Ricketts, Taylor H

    2016-02-16

    Research about ecosystem services (ES) often aims to generate knowledge that influences policies and institutions for conservation and human development. However, we have limited understanding of how decision-makers use ES knowledge or what factors facilitate use. Here we address this gap and report on, to our knowledge, the first quantitative analysis of the factors and conditions that explain the policy impact of ES knowledge. We analyze a global sample of cases where similar ES knowledge was generated and applied to decision-making. We first test whether attributes of ES knowledge themselves predict different measures of impact on decisions. We find that legitimacy of knowledge is more often associated with impact than either the credibility or salience of the knowledge. We also examine whether predictor variables related to the science-to-policy process and the contextual conditions of a case are significant in predicting impact. Our findings indicate that, although many factors are important, attributes of the knowledge and aspects of the science-to-policy process that enhance legitimacy best explain the impact of ES science on decision-making. Our results are consistent with both theory and previous qualitative assessments in suggesting that the attributes and perceptions of scientific knowledge and process within which knowledge is coproduced are important determinants of whether that knowledge leads to action.

  8. Dimensions of Nutrition Knowledge among Preadolescent Girls.

    ERIC Educational Resources Information Center

    Moxley, Robert L.; Wimberley, Ronald C.

    1982-01-01

    Examines the underlying dimensionality of a nutrition knowledge test for preadolescent girls. In contrast to the manner in which nutrition knowledge has previously been measured in research, analysis of the results indicates that their nutrition knowledge is multidimensional. The dimensions include "differentiated eating" and "vitamin importance."…

  9. Measuring the ROI on Knowledge Management Systems.

    ERIC Educational Resources Information Center

    Wickhorst, Vickie

    2002-01-01

    Defines knowledge management and corporate portals and provides a model that can be applied to assessing return on investment (ROI) for a knowledge management solution. Highlights include leveraging knowledge in an organization; assessing the value of human capital; and the Intellectual Capital Performance Measurement Model. (LRW)

  10. Foundation: Transforming data bases into knowledge bases

    NASA Technical Reports Server (NTRS)

    Purves, R. B.; Carnes, James R.; Cutts, Dannie E.

    1987-01-01

    One approach to transforming information stored in relational data bases into knowledge based representations and back again is described. This system, called Foundation, allows knowledge bases to take advantage of vast amounts of pre-existing data. A benefit of this approach is inspection, and even population, of data bases through an intelligent knowledge-based front-end.

  11. Specificity of Structural Assessment of Knowledge

    ERIC Educational Resources Information Center

    Trumpower, David L.; Sharara, Harold; Goldsmith, Timothy E.

    2010-01-01

    This study examines the specificity of information provided by structural assessment of knowledge (SAK). SAK is a technique which uses the Pathfinder scaling algorithm to transform ratings of concept relatedness into network representations (PFnets) of individuals' knowledge. Inferences about individuals' overall domain knowledge based on the…

  12. Theoretical Explanations for Preschoolers' Lowercase Alphabet Knowledge

    ERIC Educational Resources Information Center

    Pence Turnbull, Khara L.; Bowles, Ryan P.; Skibbe, Lori E.; Justice, Laura M.; Wiggins, Alice K.

    2010-01-01

    Purpose: Letter knowledge is a key aspect of children's language development, yet relatively little research has aimed to understand the nature of lowercase letter knowledge. We considered 4 hypotheses about children's lowercase letter knowledge simultaneously--uppercase familiarity, uppercase-lowercase similarity, own-name advantage, and…

  13. A Review of Technological Pedagogical Content Knowledge

    ERIC Educational Resources Information Center

    Chai, Ching Sing; Koh, Joyce Hwee Ling; Tsai, Chin-Chung

    2013-01-01

    This paper reviews 74 journal papers that investigate ICT integration from the framework of technological pedagogical content knowledge (TPACK). The TPACK framework is an extension of the pedagogical content knowledge (Shulman, 1986). TPACK is the type of integrative and transformative knowledge teachers need for effective use of ICT in…

  14. Knowledge Management: A System Dynamics Perspective

    ERIC Educational Resources Information Center

    Saurabh, Kumar

    2005-01-01

    In the present day market scenario of intense competition, organizations need to know what they know and be able to leverage on its knowledge base to gain competitive advantage. In this knowledge era, organisations can create and sustain competitive advantage through initiation of appropriate knowledge management processes. The organisations that…

  15. Knowledge of Traumatic Brain Injury among Educators

    ERIC Educational Resources Information Center

    Ernst, William J.; Gallo, Adrienne B.; Sellers, Amanda L.; Mulrine, Jessica; MacNamara, Luciana; Abrahamson, Allison; Kneavel, Meredith

    2016-01-01

    The purpose of this study is to determine knowledge of traumatic brain injury among educators. Few studies have examined knowledge of traumatic brain injury in this population and fewer still have included a substantial proportion of general education teachers. Examining knowledge of traumatic brain injury in educators is important as the vast…

  16. Ethics, Inclusiveness, and the UCEA Knowledge Base.

    ERIC Educational Resources Information Center

    Strike, Kenneth A.

    1995-01-01

    Accepts most of Bull and McCarthy's rejection of the ethical boundary thesis in this same "EAQ" issue. Reinterprets their argument, using a three-part model of administrative knowledge. Any project for constructing an educational administration knowledge base is suspect, since little "pure" empirical and instrumental knowledge will be confirmed by…

  17. Making Knowledge Services Work in Higher Education

    ERIC Educational Resources Information Center

    Norris, Donald M.; Lefrere, Paul; Mason, Jon

    2006-01-01

    Over the past three years, knowledge-based practices in higher education have advanced, driving the development of low/no-cost, mass-market tools for knowledge sharing and reducing some barriers to change. New investors in higher education are developing strategies to exploit the knowledge-driven value propositions. Existing institutions, anxious…

  18. Implementation of Knowledge Management in Organizations

    ERIC Educational Resources Information Center

    Winkler, Katrin; Mandl, Heinz

    2007-01-01

    In the context of learning implementation of new ideas e.g. knowledge management in organizations often is neglected. Concerning knowledge management measures we demonstrate its implementation in organizations. A theoretical framework was developed showing the necessary basic conditions for implementing knowledge management. Subsequently we…

  19. Knowledge Production and Utilization in Curriculum.

    ERIC Educational Resources Information Center

    Short, Edmund C.

    The intent of this paper is to examine several dimensions of knowledge production and utilization in curriculum. Attention is given to what sorts of knowledge the field requires, the form it must take to be effectively utilized, and the processes by which the required knowledge is created and put into appropriate form. The paper draws upon work by…

  20. Principles for Designing Pragmatic Knowledge Management Systems

    ERIC Educational Resources Information Center

    Cavaleri, Steven A.

    2004-01-01

    Knowledge management continues to evolve as a discipline, yet even basic features that define a discipline have to be established. Developing a shared understanding of core concepts, such as the meaning of "knowledge", has been elusive in this field. In the absence of reaching a universal definition, surrogates for knowledge are adopted because of…