Science.gov

Sample records for priori knowledge lvgiga

  1. The consequences of learnability for the a priori knowledge in a world

    NASA Astrophysics Data System (ADS)

    Sommer, Hanns

    1998-07-01

    The precondition for the evolution of intelligent beings in a world (modelled by anticipatory systems) is the learnability of some regularities in that world. The consequences, that can be deduced from the learnability property in a world, form the a priori knowledge. This a priori knowledge is independent of the empirical facts in a special world. It will be shown that the a priori knowledge consists not only of logical tautologies. Also some well-known non trivial theorems in physics and psychology form part of the a priori knowledge. The a priori knowledge obtained in different worlds is necessarily organised by the same structures. Examples from physics and psychology show the use of a separation between a priori knowledge and empirical knowledge.

  2. 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.

  3. 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.

  4. 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

  5. Model-based waveform design for optimal detection: A multi-objective approach to dealing with incomplete a priori knowledge.

    PubMed

    Hamschin, Brandon M; Loughlin, Patrick J

    2015-11-01

    This work considers the design of optimal, energy-constrained transmit signals for active sensing for the case when the designer has incomplete or uncertain knowledge of the target and/or environment. The mathematical formulation is that of a multi-objective optimization problem, wherein one can incorporate a plurality of potential targets, interference, or clutter models and in doing so take advantage of the wide range of results in the literature related to modeling each. It is shown, via simulation, that when the objective function of the optimization problem is chosen to maximize the minimum (i.e., maxmin) probability of detection among all possible model combinations, the optimal waveforms obtained are advantageous. The advantage results because the maxmin waveforms judiciously allocate energy to spectral regions where each of the target models respond strongly and each of the environmental models affect minimal detection performance degradation. In particular, improved detection performance is shown compared to linear frequency modulated transmit signals and compared to signals designed with the wrong target spectrum assumed. Additionally, it is shown that the maxmin design yields performance comparable to an optimal design matched to the correct target/environmental model. Finally, it is proven that the maxmin problem formulation is convex.

  6. 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

  7. A Priori Analysis of Natural Language Queries.

    ERIC Educational Resources Information Center

    Spiegler, Israel; Elata, Smadar

    1988-01-01

    Presents a model for the a priori analysis of natural language queries which uses an algorithm to transform the query into a logical pattern that is used to determine the answerability of the query. The results of testing by a prototype system implemented in PROLOG are discussed. (20 references) (CLB)

  8. Predictive a priori pressure-dependent kinetics.

    PubMed

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

    2014-12-05

    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.

  9. 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.

  10. Onboard star identification without a priori attitude information

    NASA Astrophysics Data System (ADS)

    Ketchum, Eleanor A.; Tolson, Robert H.

    1995-03-01

    Many algorithms used today determine spacecraft attitude by identifying stars in the field of view of a star tracker. However, each of these methods require some a priori knowledge of the spacecraft attitude. Some algorithms have been extended to implement a computation-intense full-sky scan. Others require large data bases. Both storage and speed are concerns for autonomous onboard systems. This paper presents an algorithm that, by discretizing the sky and filtering by visual magnitude of the brightest observed star, provides a star identification process that is computationally efficient, compared to existing techniques. A savings in onboard storage of over 80% compared with a popular existing technique is documented. Results of random tests with simulated star fields are presented without false identification and with dramatic increase in speed over full-sky scan methods.

  11. 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

  12. 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.

  13. 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)

  14. 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...

  15. "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…

  16. 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

  17. Note: Reconstruction of fluid flows in porous media using geometric a priori information

    NASA Astrophysics Data System (ADS)

    Maisl, Michael; Scholl, Hagen; Schorr, Christian; Seemann, Ralf

    2016-12-01

    X-ray tomography typically suffers from insufficient temporal resolution when imaging dynamic processes. Using the example of multiphase flow in solid porous media, we adapt an iterative algorithm to compute 3d tomograms from 2d projections, which allows for a significant reduction of scan time while maintaining a high level of reconstruction quality. To this end, a priori knowledge about the porous medium is incorporated into the reconstruction algorithm. This algorithm is universal when monitoring dynamic changes in any static matrix and allows for an at least five times decreased imaging time with respect to standard reconstruction algorithms.

  18. Note: Reconstruction of fluid flows in porous media using geometric a priori information.

    PubMed

    Maisl, Michael; Scholl, Hagen; Schorr, Christian; Seemann, Ralf

    2016-12-01

    X-ray tomography typically suffers from insufficient temporal resolution when imaging dynamic processes. Using the example of multiphase flow in solid porous media, we adapt an iterative algorithm to compute 3d tomograms from 2d projections, which allows for a significant reduction of scan time while maintaining a high level of reconstruction quality. To this end, a priori knowledge about the porous medium is incorporated into the reconstruction algorithm. This algorithm is universal when monitoring dynamic changes in any static matrix and allows for an at least five times decreased imaging time with respect to standard reconstruction algorithms.

  19. A priori SNR estimation and noise estimation for speech enhancement.

    PubMed

    Yao, Rui; Zeng, ZeQing; Zhu, Ping

    2016-01-01

    A priori signal-to-noise ratio (SNR) estimation and noise estimation are important for speech enhancement. In this paper, a novel modified decision-directed (DD) a priori SNR estimation approach based on single-frequency entropy, named DDBSE, is proposed. DDBSE replaces the fixed weighting factor in the DD approach with an adaptive one calculated according to change of single-frequency entropy. Simultaneously, a new noise power estimation approach based on unbiased minimum mean square error (MMSE) and voice activity detection (VAD), named UMVAD, is proposed. UMVAD adopts different strategies to estimate noise in order to reduce over-estimation and under-estimation of noise. UMVAD improves the classical statistical model-based VAD by utilizing an adaptive threshold to replace the original fixed one and modifies the unbiased MMSE-based noise estimation approach using an adaptive a priori speech presence probability calculated by entropy instead of the original fixed one. Experimental results show that DDBSE can provide greater noise suppression than DD and UMVAD can improve the accuracy of noise estimation. Compared to existing approaches, speech enhancement based on UMVAD and DDBSE can obtain a better segment SNR score and composite measure covl score, especially in adverse environments such as non-stationary noise and low-SNR.

  20. A priori SNR estimation and noise estimation for speech enhancement

    NASA Astrophysics Data System (ADS)

    Yao, Rui; Zeng, ZeQing; Zhu, Ping

    2016-12-01

    A priori signal-to-noise ratio (SNR) estimation and noise estimation are important for speech enhancement. In this paper, a novel modified decision-directed (DD) a priori SNR estimation approach based on single-frequency entropy, named DDBSE, is proposed. DDBSE replaces the fixed weighting factor in the DD approach with an adaptive one calculated according to change of single-frequency entropy. Simultaneously, a new noise power estimation approach based on unbiased minimum mean square error (MMSE) and voice activity detection (VAD), named UMVAD, is proposed. UMVAD adopts different strategies to estimate noise in order to reduce over-estimation and under-estimation of noise. UMVAD improves the classical statistical model-based VAD by utilizing an adaptive threshold to replace the original fixed one and modifies the unbiased MMSE-based noise estimation approach using an adaptive a priori speech presence probability calculated by entropy instead of the original fixed one. Experimental results show that DDBSE can provide greater noise suppression than DD and UMVAD can improve the accuracy of noise estimation. Compared to existing approaches, speech enhancement based on UMVAD and DDBSE can obtain a better segment SNR score and composite measure c ovl score, especially in adverse environments such as non-stationary noise and low-SNR.

  1. 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

  2. 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.

  3. A priori discretization error metrics for distributed hydrologic modeling applications

    NASA Astrophysics Data System (ADS)

    Liu, Hongli; Tolson, Bryan A.; Craig, James R.; Shafii, Mahyar

    2016-12-01

    Watershed spatial discretization is an important step in developing a distributed hydrologic model. A key difficulty in the spatial discretization process is maintaining a balance between the aggregation-induced information loss and the increase in computational burden caused by the inclusion of additional computational units. Objective identification of an appropriate discretization scheme still remains a challenge, in part because of the lack of quantitative measures for assessing discretization quality, particularly prior to simulation. This study proposes a priori discretization error metrics to quantify the information loss of any candidate discretization scheme without having to run and calibrate a hydrologic model. These error metrics are applicable to multi-variable and multi-site discretization evaluation and provide directly interpretable information to the hydrologic modeler about discretization quality. The first metric, a subbasin error metric, quantifies the routing information loss from discretization, and the second, a hydrological response unit (HRU) error metric, improves upon existing a priori metrics by quantifying the information loss due to changes in land cover or soil type property aggregation. The metrics are straightforward to understand and easy to recode. Informed by the error metrics, a two-step discretization decision-making approach is proposed with the advantage of reducing extreme errors and meeting the user-specified discretization error targets. The metrics and decision-making approach are applied to the discretization of the Grand River watershed in Ontario, Canada. Results show that information loss increases as discretization gets coarser. Moreover, results help to explain the modeling difficulties associated with smaller upstream subbasins since the worst discretization errors and highest error variability appear in smaller upstream areas instead of larger downstream drainage areas. Hydrologic modeling experiments under

  4. 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.

  5. Automated cleaning and uncertainty attribution of archival bathymetry based on a priori knowledge

    NASA Astrophysics Data System (ADS)

    Ladner, Rodney Wade; Elmore, Paul; Perkins, A. Louise; Bourgeois, Brian; Avera, Will

    2017-03-01

    Hydrographic offices hold large valuable historic bathymetric data sets, many of which were collected using older generation survey systems that contain little or no metadata and/or uncertainty estimates. These bathymetric data sets generally contain large outlier (errant) data points to clean, yet standard practice does not include rigorous automated procedures for systematic cleaning of these historical data sets and their subsequent conversion into reusable data formats. In this paper, we propose an automated method for this task. We utilize statistically diverse threshold tests, including a robust least trimmed squared method, to clean the data. We use LOESS weighted regression residuals together with a Student-t distribution to attribute uncertainty for each retained sounding; the resulting uncertainty values compare favorably with native estimates of uncertainty from co-located data sets which we use to estimate a point-wise goodness-of-fit measure. Storing a cleansed validated data set augmented with uncertainty in a re-usable format provides the details of this analysis for subsequent users. Our test results indicate that the method significantly improves the quality of the data set while concurrently providing confidence interval estimates and point-wise goodness-of-fit estimates as referenced to current hydrographic practices.

  6. 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

  7. 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

  8. 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…

  9. 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.

  10. 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.

  11. 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.

  12. The constitutive a priori and the distinction between mathematical and physical possibility

    NASA Astrophysics Data System (ADS)

    Everett, Jonathan

    2015-11-01

    This paper is concerned with Friedman's recent revival of the notion of the relativized a priori. It is particularly concerned with addressing the question as to how Friedman's understanding of the constitutive function of the a priori has changed since his defence of the idea in his Dynamics of Reason. Friedman's understanding of the a priori remains influenced by Reichenbach's initial defence of the idea; I argue that this notion of the a priori does not naturally lend itself to describing the historical development of space-time physics. Friedman's analysis of the role of the rotating frame thought experiment in the development of general relativity - which he suggests made the mathematical possibility of four-dimensional space-time a genuine physical possibility - has a central role in his argument. I analyse this thought experiment and argue that it is better understood by following Cassirer and placing emphasis on regulative principles. Furthermore, I argue that Cassirer's Kantian framework enables us to capture Friedman's key insights into the nature of the constitutive a priori.

  13. 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

  14. 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.

  15. Incorporation of a priori gravity field information in satellite orbit determination using bin parameters

    NASA Technical Reports Server (NTRS)

    Wu, Jiun-Tsong; Wu, Sien-Chong

    1992-01-01

    A method to determine satellite orbits using tracking data and a priori gravitational field is described. The a priori constraint on the orbit dynamics is determined by the covariance matrix of the spherical harmonic coefficients for the gravity model, so that the optimal combination of the measurements and gravitational field is achieved. A set of bin parameters is introduced to represent the perturbation of the gravitational field on the position of the satellite orbit. The covariance matrix of a conventional gravity model is transformed into that for the bin parameters by the variational partial derivatives. The covariance matrices of the bin parameters and the epoch state are combined to form the covariance matrix of the satellite positions at the measurement times. The combined matrix is used as the a priori information to estimate the satellite positions with measurements.

  16. Background and Attitude Questionnaire Items and A Priori Weights. Table 4.

    ERIC Educational Resources Information Center

    Michigan State Dept. of Education, Lansing. Research, Evaluation, and Assessment Services.

    Background and attitude questionnaire items used in the Michigan Educational Assessment battery to measure socioeconomic status and attitudes toward self, school, and the importance of school achievement are presented. A priori weights for item responses are provided. (For related document, see TM 002 329.) (KM)

  17. Simplified multi-track detection schemes using a priori information for bit patterned media recording

    NASA Astrophysics Data System (ADS)

    Kong, Gyuyeol; Choi, Sooyong

    2012-04-01

    Simplified multi-track detection schemes using a priori information for bit patterned magnetic recording (BPMR) are proposed in this paper. The proposed detection schemes adopt the simplified trellis diagram, use a priori information, and detect the main-track data in the along- and cross-track directions. The simplified trellis diagram, which has 4 states and 8 branches, can be obtained by setting the corner entries of the generalized partial response (GPR) target to zero and replacing the four parallel branches with a single branch. However, these simplified techniques seriously suffer from performance degradation in high density BPMR channels. To overcome the performance degradation, a priori information is used to give higher reliability to the branch metric. In addition, to fully use the characteristics of channel detection with a two-dimensional (2D) GPR target, the proposed schemes estimate a priori information and detect the main-track data in the along- and cross-track directions by using a 2D equalizer with a 2D GPR target. The bit error rate performances of the proposed schemes are compared with the previous detection schemes when areal density is 3 Tb/in2. Simulation results show that the proposed schemes with simpler structures have more than 2 dB gains compared with the other detection schemes.

  18. 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.

  19. Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information.

    PubMed

    Zhang, Chi; Tong, Li; Zeng, Ying; Jiang, Jingfang; Bu, Haibing; Yan, Bin; Li, Jianxin

    2015-01-01

    Electroencephalogram (EEG) is susceptible to various nonneural physiological artifacts. Automatic artifact removal from EEG data remains a key challenge for extracting relevant information from brain activities. To adapt to variable subjects and EEG acquisition environments, this paper presents an automatic online artifact removal method based on a priori artifact information. The combination of discrete wavelet transform and independent component analysis (ICA), wavelet-ICA, was utilized to separate artifact components. The artifact components were then automatically identified using a priori artifact information, which was acquired in advance. Subsequently, signal reconstruction without artifact components was performed to obtain artifact-free signals. The results showed that, using this automatic online artifact removal method, there were statistical significant improvements of the classification accuracies in both two experiments, namely, motor imagery and emotion recognition.

  20. 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.

  1. A priori Estimates and Existence for Elliptic Systems via Bootstrap in Weighted Lebesgue Spaces

    NASA Astrophysics Data System (ADS)

    Quittner, P.; Souplet, Ph.

    2004-10-01

    We present a new general method to obtain regularity and a priori estimates for solutions of semilinear elliptic systems in bounded domains. This method is based on a bootstrap procedure, used alternatively on each component, in the scale of weighted Lebesgue spaces Lpδ(Ω)=Lp(Ωδ(x) dx), where δ(x) is the distance to the boundary. Using this method, we significantly improve the known existence results for various classes of elliptic systems.

  2. Implications of genome wide association studies for addiction: Are our a priori assumptions all wrong?

    PubMed Central

    Hall, F. Scott; Drgonova, Jana; Jain, Siddharth; Uhl, George R.

    2013-01-01

    Substantial genetic contributions to addiction vulnerability are supported by data from twin studies, linkage studies, candidate gene association studies and, more recently, Genome Wide Association Studies (GWAS). Parallel to this work, animal studies have attempted to identify the genes that may contribute to responses to addictive drugs and addiction liability, initially focusing upon genes for the targets of the major drugs of abuse. These studies identified genes/proteins that affect responses to drugs of abuse; however, this does not necessarily mean that variation in these genes contributes to the genetic component of addiction liability. One of the major problems with initial linkage and candidate gene studies was an a priori focus on the genes thought to be involved in addiction based upon the known contributions of those proteins to drug actions, making the identification of novel genes unlikely. The GWAS approach is systematic and agnostic to such a priori assumptions. From the numerous GWAS now completed several conclusions may be drawn: (1) addiction is highly polygenic; each allelic variant contributing in a small, additive fashion to addiction vulnerability; (2) unexpected, compared to our a priori assumptions, classes of genes are most important in explaining addiction vulnerability; (3) although substantial genetic heterogeneity exists, there is substantial convergence of GWAS signals on particular genes. This review traces the history of this research; from initial transgenic mouse models based upon candidate gene and linkage studies, through the progression of GWAS for addiction and nicotine cessation, to the current human and transgenic mouse studies post-GWAS. PMID:23872493

  3. Implications of genome wide association studies for addiction: are our a priori assumptions all wrong?

    PubMed

    Hall, F Scott; Drgonova, Jana; Jain, Siddharth; Uhl, George R

    2013-12-01

    Substantial genetic contributions to addiction vulnerability are supported by data from twin studies, linkage studies, candidate gene association studies and, more recently, Genome Wide Association Studies (GWAS). Parallel to this work, animal studies have attempted to identify the genes that may contribute to responses to addictive drugs and addiction liability, initially focusing upon genes for the targets of the major drugs of abuse. These studies identified genes/proteins that affect responses to drugs of abuse; however, this does not necessarily mean that variation in these genes contributes to the genetic component of addiction liability. One of the major problems with initial linkage and candidate gene studies was an a priori focus on the genes thought to be involved in addiction based upon the known contributions of those proteins to drug actions, making the identification of novel genes unlikely. The GWAS approach is systematic and agnostic to such a priori assumptions. From the numerous GWAS now completed several conclusions may be drawn: (1) addiction is highly polygenic; each allelic variant contributing in a small, additive fashion to addiction vulnerability; (2) unexpected, compared to our a priori assumptions, classes of genes are most important in explaining addiction vulnerability; (3) although substantial genetic heterogeneity exists, there is substantial convergence of GWAS signals on particular genes. This review traces the history of this research; from initial transgenic mouse models based upon candidate gene and linkage studies, through the progression of GWAS for addiction and nicotine cessation, to the current human and transgenic mouse studies post-GWAS.

  4. 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.

  5. A priori mesh grading for the numerical calculation of the head-related transfer functions

    PubMed Central

    Ziegelwanger, Harald; Kreuzer, Wolfgang; Majdak, Piotr

    2017-01-01

    Head-related transfer functions (HRTFs) describe the directional filtering of the incoming sound caused by the morphology of a listener’s head and pinnae. When an accurate model of a listener’s morphology exists, HRTFs can be calculated numerically with the boundary element method (BEM). However, the general recommendation to model the head and pinnae with at least six elements per wavelength renders the BEM as a time-consuming procedure when calculating HRTFs for the full audible frequency range. In this study, a mesh preprocessing algorithm is proposed, viz., a priori mesh grading, which reduces the computational costs in the HRTF calculation process significantly. The mesh grading algorithm deliberately violates the recommendation of at least six elements per wavelength in certain regions of the head and pinnae and varies the size of elements gradually according to an a priori defined grading function. The evaluation of the algorithm involved HRTFs calculated for various geometric objects including meshes of three human listeners and various grading functions. The numerical accuracy and the predicted sound-localization performance of calculated HRTFs were analyzed. A-priori mesh grading appeared to be suitable for the numerical calculation of HRTFs in the full audible frequency range and outperformed uniform meshes in terms of numerical errors, perception based predictions of sound-localization performance, and computational costs. PMID:28239186

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Evaluating A Priori Ozone Profile Information Used in TEMPO Tropospheric Ozone Retrievals

    NASA Technical Reports Server (NTRS)

    Johnson, Matthew S.; Sullivan, John T.; Liu, Xiong; Newchurch, Mike; Kuang, Shi; McGee, Thomas J.; Langford, Andrew O'Neil; Senff, Christoph J.; Leblanc, Thierry; Berkoff, Timothy; Gronoff, Guillaume; Chen, Gao; Strawbridge, Kevin B.

    2016-01-01

    Ozone (O3) is a greenhouse gas and toxic pollutant which plays a major role in air quality. Typically, monitoring of surface air quality and O3 mixing ratios is primarily conducted using in situ measurement networks. This is partially due to high-quality information related to air quality being limited from space-borne platforms due to coarse spatial resolution, limited temporal frequency, and minimal sensitivity to lower tropospheric and surface-level O3. The Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite is designed to address these limitations of current space-based platforms and to improve our ability to monitor North American air quality. TEMPO will provide hourly data of total column and vertical profiles of O3 with high spatial resolution to be used as a near-real-time air quality product. TEMPO O3 retrievals will apply the Smithsonian Astrophysical Observatory profile algorithm developed based on work from GOME, GOME-2, and OMI. This algorithm uses a priori O3 profile information from a climatological data-base developed from long-term ozone-sonde measurements (tropopause-based (TB) O3 climatology). It has been shown that satellite O3 retrievals are sensitive to a priori O3 profiles and covariance matrices. During this work we investigate the climatological data to be used in TEMPO algorithms (TB O3) and simulated data from the NASA GMAO Goddard Earth Observing System (GEOS-5) Forward Processing (FP) near-real-time (NRT) model products. These two data products will be evaluated with ground-based lidar data from the Tropospheric Ozone Lidar Network (TOLNet) at various locations of the US. This study evaluates the TB climatology, GEOS-5 climatology, and 3-hourly GEOS-5 data compared to lower tropospheric observations to demonstrate the accuracy of a priori information to potentially be used in TEMPO O3 algorithms. Here we present our initial analysis and the theoretical impact on TEMPO retrievals in the lower troposphere.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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

  16. A method to unmix multiple fluorophores in microscopy images with minimal a priori information.

    PubMed

    Schlachter, S; Schwedler, S; Esposito, A; Kaminski Schierle, G S; Moggridge, G D; Kaminski, C F

    2009-12-07

    The ability to quantify the fluorescence signals from multiply labeled biological samples is highly desirable in the life sciences but often difficult, because of spectral overlap between fluorescent species and the presence of autofluorescence. Several so called unmixing algorithms have been developed to address this problem. Here, we present a novel algorithm that combines measurements of lifetime and spectrum to achieve unmixing without a priori information on the spectral properties of the fluorophore labels. The only assumption made is that the lifetimes of the fluorophores differ. Our method combines global analysis for a measurement of lifetime distributions with singular value decomposition to recover individual fluorescence spectra. We demonstrate the technique on simulated datasets and subsequently by an experiment on a biological sample. The method is computationally efficient and straightforward to implement. Applications range from histopathology of complex and multiply labelled samples to functional imaging in live cells.

  17. A priori analysis of a LES subfilter model for soot-turbulence-chemistry interactions

    NASA Astrophysics Data System (ADS)

    Lew, Jeffry K.; Mueller, Michael E.

    2016-11-01

    In a turbulent flame, soot interacts with turbulence and combustion chemistry at the smallest scales. An existing LES subfilter model proposes that soot-turbulence interactions are independent of chemistry due to the time scale separation between slow soot formation and rapid heat-releasing reactions. However, interactions between soot, turbulence, and chemistry occur even after the nucleation of soot from polycyclic aromatic hydrocarbon (PAH) dimers. In fact, the interplay of soot and gas-phase chemistry may be intensified during oxidation and surface growth. To capture these effects, a dependence on the local mixture fraction has been introduced into the subfilter model. This modified model is evaluated a priori using a direct numerical simulation (DNS) database of soot evolution in a turbulent non-premixed n-heptane/air jet flame.

  18. 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

  19. 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.

  20. 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.

  1. A Priori Estimates for Fractional Nonlinear Degenerate Diffusion Equations on Bounded Domains

    NASA Astrophysics Data System (ADS)

    Bonforte, Matteo; Vázquez, Juan Luis

    2015-10-01

    We investigate quantitative properties of the nonnegative solutions to the nonlinear fractional diffusion equation, , posed in a bounded domain, , with m > 1 for t > 0. As we use one of the most common definitions of the fractional Laplacian , 0 < s < 1, in a bounded domain with zero Dirichlet boundary conditions. We consider a general class of very weak solutions of the equation, and obtain a priori estimates in the form of smoothing effects, absolute upper bounds, lower bounds, and Harnack inequalities. We also investigate the boundary behaviour and we obtain sharp estimates from above and below. In addition, we obtain similar estimates for fractional semilinear elliptic equations. Either the standard Laplacian case s = 1 or the linear case m = 1 are recovered as limits. The method is quite general, suitable to be applied to a number of similar problems.

  2. 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.

  3. Methods for improving limited field-of-view radiotherapy reconstructions using imperfect a priori images.

    PubMed

    Ruchala, Kenneth J; Olivera, Gustavo H; Kapatoes, Jeffrey M; Reckwerdt, Paul J; Mackie, Thomas R

    2002-11-01

    There are many benefits to having an online CT imaging system for radiotherapy, as it helps identify changes in the patient's position and anatomy between the time of planning and treatment. However, many current online CT systems suffer from a limited field-of-view (LFOV) in that collected data do not encompass the patient's complete cross section. Reconstruction of these data sets can quantitatively distort the image values and introduce artifacts. This work explores the use of planning CT data as a priori information for improving these reconstructions. Methods are presented to incorporate this data by aligning the LFOV with the planning images and then merging the data sets in sinogram space. One alignment option is explicit fusion, producing fusion-aligned reprojection (FAR) images. For cases where explicit fusion is not viable, FAR can be implemented using the implicit fusion of normal setup error, referred to as normal-error-aligned reprojection (NEAR). These methods are evaluated for multiday patient images showing both internal and skin-surface anatomical variation. The iterative use of NEAR and FAR is also investigated, as are applications of NEAR and FAR to dose calculations and the compensation of LFOV online MVCT images with kVCT planning images. Results indicate that NEAR and FAR can utilize planning CT data as imperfect a priori information to reduce artifacts and quantitatively improve images. These benefits can also increase the accuracy of dose calculations and be used for augmenting CT images (e.g., MVCT) acquired at different energies than the planning CT.

  4. Development of a combined multifrequency MRI-DOT system for human breast imaging using a priori information

    NASA Astrophysics Data System (ADS)

    Thayer, David; Liu, Ning; Unlu, Burcin; Chen, Jeon-Hor; Su, Min-Ying; Nalcioglu, Orhan; Gulsen, Gultekin

    2010-02-01

    Breast cancer is a significant cause of mortality and morbidity among women with early diagnosis being vital to successful treatment. Diffuse Optical Tomography (DOT) is an emerging medical imaging modality that provides information that is complementary to current screening modalities such as MRI and mammography, and may improve the specificity in determining cancer malignancy. Using high-resolution anatomic images as a priori information improves the accuracy of DOT. Measurements are presented characterizing the performance of our system. Preliminary data is also shown illustrating the use of a priori MRI data in phantom studies.ä

  5. 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.

  6. 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.

  7. Improving diffuse optical tomography with structural a priori from fluorescence diffuse optical tomography

    NASA Astrophysics Data System (ADS)

    Ma, Wenjuan; Gao, Feng; Duan, Linjing; Zhu, Qingzhen; Wang, Xin; Zhang, Wei; Wu, Linhui; Yi, Xi; Zhao, Huijuan

    2012-03-01

    We obtain absorption and scattering reconstructed images by incorporating a priori information of target location obtained from fluorescence diffuse optical tomography (FDOT) into the diffuse optical tomography (DOT). The main disadvantage of DOT lies in the low spatial resolution resulting from highly scattering nature of tissue in the near-infrared (NIR), but one can use it to monitor hemoglobin concentration and oxygen saturation simultaneously, as well as several other cheomphores such as water, lipids, and cytochrome-c-oxidase. Up to date, extensive effort has been made to integrate DOT with other imaging modalities such as MRI, CT, to obtain accurate optical property maps of the tissue. However, the experimental apparatus is intricate. In this study, DOT image reconstruction algorithm that incorporates a prior structural information provided by FDOT is investigated in an attempt to optimize recovery of a simulated optical property distribution. By use of a specifically designed multi-channel time-correlated single photon counting system, the proposed scheme in a transmission mode is experimentally validated to achieve simultaneous reconstruction of the fluorescent yield, lifetime, absorption and scattering coefficient. The experimental results demonstrate that the quantitative recovery of the tumor optical properties has doubled and the spatial resolution improves as well by applying the new improved method.

  8. 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.

  9. 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.

  10. A priori complete active space self consistent field localized orbitals: an application on linear polyenes

    NASA Astrophysics Data System (ADS)

    Angeli, Celestino; Sparta, Manuel; Cimiraglia, Renzo

    2006-03-01

    A recently proposed a priori localization technique is used to exploit the possibility to reduce the number of active orbitals in a Complete Active Space Self Consistent Field calculation. The work relies on the fact that the new approach allows a strict control on the nature of the active orbitals and therefore makes it possible to include in the active space only the relevant orbitals. The idea is tested on the calculation of the energy barrier for rigid rotation of linear polyenes. In order to obtain a relevant set of data, a number of possible rotations around double bonds have been considered in the ethylene, butadiene, hexatriene, octatetraene, decapentaene, dodecahexaene molecules. The possibility to reduce the dimension of the active space has been investigated, considering for each possible rotation different active spaces ranging from the minimal dimension of 2 electrons in 2 π orbitals to the π-complete space. The results show that the rigid isomerization in the polyene molecules can be described with a negligible loss in accuracy with active spaces no larger than ten orbitals and ten electrons. In the special case of the rotation around the terminal double bond, the space can be further reduced to six orbitals and six electrons with a large decrease of the computational cost. An interesting summation rule has been found and verified for the stabilization of the energy barriers as a function of the dimension of the conjugated lateral chains and of the dimension of the active space.

  11. 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.

  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. 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.

  14. 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.

  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. AN A PRIORI INVESTIGATION OF ASTROPHYSICAL FALSE POSITIVES IN GROUND-BASED TRANSITING PLANET SURVEYS

    SciTech Connect

    Evans, Tom M.; Sackett, Penny D.

    2010-03-20

    Astrophysical false positives due to stellar eclipsing binaries pose one of the greatest challenges to ground-based surveys for transiting hot Jupiters. We have used known properties of multiple star systems and hot Jupiter systems to predict, a priori, the number of such false detections and the number of genuine planet detections recovered in two hypothetical but realistic ground-based transit surveys targeting fields close to the galactic plane (b {approx} 10{sup 0}): a shallow survey covering a magnitude range 10 < V < 13 and a deep survey covering a magnitude range 15 < V < 19. Our results are consistent with the commonly reported experience of false detections outnumbering planet detections by a factor of {approx}10 in shallow surveys, while in our synthetic deep survey we find {approx}1-2 false detections for every planet detection. We characterize the eclipsing binary configurations that are most likely to cause false detections and find that they can be divided into three main types: (1) two dwarfs undergoing grazing transits, (2) two dwarfs undergoing low-latitude transits in which one component has a substantially smaller radius than the other, and (3) two eclipsing dwarfs blended with one or more physically unassociated foreground stars. We also predict that a significant fraction of hot Jupiter detections are blended with the light from other stars, showing that care must be taken to identify the presence of any unresolved neighbors in order to obtain accurate estimates of planetary radii. This issue is likely to extend to terrestrial planet candidates in the CoRoT and Kepler transit surveys, for which neighbors of much fainter relative brightness will be important.

  17. A priori typology-based prediction of benthic macroinvertebrate fauna for ecological classification of rivers.

    PubMed

    Aroviita, Jukka; Koskenniemi, Esa; Kotanen, Juho; Hämäläinen, Heikki

    2008-11-01

    We evaluated a simple bioassessment method based on a priori river typology to predict benthic macroinvertebrate fauna in riffle sites of rivers in the absence of human influence. Our approach predicted taxon lists specific to four river types differing in catchment area with a method analogous to the site-specific RIVPACS-type models. The reference sites grouped in accordance with their type in NMS ordination, indicating that the typology efficiently accounted for natural variation in macroinvertebrate assemblages. Compared with a null model, typology greatly increased the precision of prediction and sensitivity to detect human impairment and strengthened the correlation of the ratio of observed-to-expected number of predicted taxa (O/E) with the measured stressor variables. The performance of the typology-based approach was equal to that of a RIVPACS-type predictive model that we developed. Exclusion of rarest taxa with low occurrence probabilities improved the performance of both approaches by all criteria. With an increasing inclusion threshold of occurrence probability, especially the predictive model sensitivity first increased but then decreased. Many common taxa with intermediate type-specific occurrence probabilities were consistently missing from impacted sites, a result suggesting that these taxa may be especially important in detecting human disturbances. We conclude that if a typology-based approach such as that suggested by the European Union's Water Framework Directive is required, the O/E ratio of type-specific taxa can be a useful metric for assessment of the status of riffle macroinvertebrate communities. Successful application of the approach, however, requires biologically meaningful river types with a sufficient pool of reference sites for each type.

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

    SciTech Connect

    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 the 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 localness and

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

    DOE PAGES

    Zhao, Xin -Yu; Bhagatwala, Ankit; Chen, Jacqueline H.; ...

    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

  20. Optical tomographic imaging of activation of the infant auditory cortex using perturbation Monte Carlo with anatomical a priori information

    NASA Astrophysics Data System (ADS)

    Heiskala, Juha; Kotilahti, Kalle; Lipiäinen, Lauri; Hiltunen, Petri; Grant, P. Ellen; Nissilä, Ilkka

    2007-07-01

    We have developed a perturbation Monte Carlo method for calculating forward and inverse solutions to the optical tomography imaging problem in the presence of anatomical a priori information. The method uses frequency domain data. In the present work, we consider the problem of imaging hemodynamic changes due to brain activation in the infant brain. We test finite element method and Monte Carlo based implementations using a homogeneous model with the exterior of the domain warped to match digitized points on the skin. With the perturbation Monte Carlo model, we also test a heterogeneous model based on anatomical a priori information derived from a previously recorded infant T1 magnetic resonance (MR) image. Our simulations show that the anatomical information improves the accuracy of reconstructions quite significantly even if the anatomical MR images are based on another infant. This suggests that significant benefits can be obtained by the use of generic infant brain atlas information in near-infrared spectroscopy and optical tomography studies.

  1. Tomographic inversion of time-domain resistivity and chargeability data for the investigation of landfills using a priori information.

    PubMed

    De Donno, Giorgio; Cardarelli, Ettore

    2017-01-01

    In this paper, we present a new code for the modelling and inversion of resistivity and chargeability data using a priori information to improve the accuracy of the reconstructed model for landfill. When a priori information is available in the study area, we can insert them by means of inequality constraints on the whole model or on a single layer or assigning weighting factors for enhancing anomalies elongated in the horizontal or vertical directions. However, when we have to face a multilayered scenario with numerous resistive to conductive transitions (the case of controlled landfills), the effective thickness of the layers can be biased. The presented code includes a model-tuning scheme, which is applied after the inversion of field data, where the inversion of the synthetic data is performed based on an initial guess, and the absolute difference between the field and synthetic inverted models is minimized. The reliability of the proposed approach has been supported in two real-world examples; we were able to identify an unauthorized landfill and to reconstruct the geometrical and physical layout of an old waste dump. The combined analysis of the resistivity and chargeability (normalised) models help us to remove ambiguity due to the presence of the waste mass. Nevertheless, the presence of certain layers can remain hidden without using a priori information, as demonstrated by a comparison of the constrained inversion with a standard inversion. The robustness of the above-cited method (using a priori information in combination with model tuning) has been validated with the cross-section from the construction plans, where the reconstructed model is in agreement with the original design.

  2. 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.

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

    DOE PAGES

    Medlyn, Belinda E.; De Kauwe, Martin G.; Zaehle, Sönke; ...

    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

  4. 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.

  5. 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.

  6. A Priori and a Posteriori Dietary Patterns during Pregnancy and Gestational Weight Gain: The Generation R Study.

    PubMed

    Tielemans, Myrte J; Erler, Nicole S; Leermakers, Elisabeth T M; van den Broek, Marion; Jaddoe, Vincent W V; Steegers, Eric A P; Kiefte-de Jong, Jessica C; Franco, Oscar H

    2015-11-12

    Abnormal gestational weight gain (GWG) is associated with adverse pregnancy outcomes. We examined whether dietary patterns are associated with GWG. Participants included 3374 pregnant women from a population-based cohort in the Netherlands. Dietary intake during pregnancy was assessed with food-frequency questionnaires. Three a posteriori-derived dietary patterns were identified using principal component analysis: a "Vegetable, oil and fish", a "Nuts, high-fiber cereals and soy", and a "Margarine, sugar and snacks" pattern. The a priori-defined dietary pattern was based on national dietary recommendations. Weight was repeatedly measured around 13, 20 and 30 weeks of pregnancy; pre-pregnancy and maximum weight were self-reported. Normal weight women with high adherence to the "Vegetable, oil and fish" pattern had higher early-pregnancy GWG than those with low adherence (43 g/week (95% CI 16; 69) for highest vs. lowest quartile (Q)). Adherence to the "Margarine, sugar and snacks" pattern was associated with a higher prevalence of excessive GWG (OR 1.45 (95% CI 1.06; 1.99) Q4 vs. Q1). Normal weight women with higher scores on the "Nuts, high-fiber cereals and soy" pattern had more moderate GWG than women with lower scores (-0.01 (95% CI -0.02; -0.00) per SD). The a priori-defined pattern was not associated with GWG. To conclude, specific dietary patterns may play a role in early pregnancy but are not consistently associated with GWG.

  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

    2017-02-01

    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. 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.

  9. 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.

  10. Unequal Knowledge.

    ERIC Educational Resources Information Center

    Tilly, Charles

    2003-01-01

    Discusses how the persistence of knowledge inequalities influences higher education. Explores how the control of and access to knowledge affects human well being (i.e., control over production of knowledge, control over its distribution, and access to knowledge by people whose well being it will or could affect). (EV)

  11. 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…

  12. A Priori and a Posteriori Dietary Patterns during Pregnancy and Gestational Weight Gain: The Generation R Study

    PubMed Central

    Tielemans, Myrte J.; Erler, Nicole S.; Leermakers, Elisabeth T. M.; van den Broek, Marion; Jaddoe, Vincent W. V.; Steegers, Eric A. P.; Kiefte-de Jong, Jessica C.; Franco, Oscar H.

    2015-01-01

    Abnormal gestational weight gain (GWG) is associated with adverse pregnancy outcomes. We examined whether dietary patterns are associated with GWG. Participants included 3374 pregnant women from a population-based cohort in the Netherlands. Dietary intake during pregnancy was assessed with food-frequency questionnaires. Three a posteriori-derived dietary patterns were identified using principal component analysis: a “Vegetable, oil and fish”, a “Nuts, high-fiber cereals and soy”, and a “Margarine, sugar and snacks” pattern. The a priori-defined dietary pattern was based on national dietary recommendations. Weight was repeatedly measured around 13, 20 and 30 weeks of pregnancy; pre-pregnancy and maximum weight were self-reported. Normal weight women with high adherence to the “Vegetable, oil and fish” pattern had higher early-pregnancy GWG than those with low adherence (43 g/week (95% CI 16; 69) for highest vs. lowest quartile (Q)). Adherence to the “Margarine, sugar and snacks” pattern was associated with a higher prevalence of excessive GWG (OR 1.45 (95% CI 1.06; 1.99) Q4 vs. Q1). Normal weight women with higher scores on the “Nuts, high-fiber cereals and soy” pattern had more moderate GWG than women with lower scores (−0.01 (95% CI −0.02; −0.00) per SD). The a priori-defined pattern was not associated with GWG. To conclude, specific dietary patterns may play a role in early pregnancy but are not consistently associated with GWG. PMID:26569303

  13. Estimating a-priori kinematic wave model parameters based on regionalization for flash flood forecasting in the Conterminous United States

    NASA Astrophysics Data System (ADS)

    Vergara, Humberto; Kirstetter, Pierre-Emmanuel; Gourley, Jonathan J.; Flamig, Zachary L.; Hong, Yang; Arthur, Ami; Kolar, Randall

    2016-10-01

    This study presents a methodology for the estimation of a-priori parameters of the widely used kinematic wave approximation to the unsteady, 1-D Saint-Venant equations for hydrologic flow routing. The approach is based on a multi-dimensional statistical modeling of the macro scale spatial variability of rating curve parameters using a set of geophysical factors including geomorphology, hydro-climatology and land cover/land use over the Conterminous United States. The main goal of this study was to enable prediction at ungauged locations through regionalization of model parameters. The results highlight the importance of regional and local geophysical factors in uniquely defining characteristics of each stream reach conforming to physical theory of fluvial hydraulics. The application of the estimates is demonstrated through a hydrologic modeling evaluation of a deterministic forecasting system performed on 1672 gauged basins and 47,563 events extracted from a 10-year simulation. Considering the mean concentration time of the basins of the study and the target application on flash flood forecasting, the skill of the flow routing simulations is significantly high for peakflow and timing of peakflow estimation, and shows consistency as indicated by the large sample verification. The resulting a-priori estimates can be used in any hydrologic model that employs the kinematic wave model for flow routing. Furthermore, probabilistic estimates of kinematic wave parameters are enabled based on uncertainty information that is generated during the multi-dimensional statistical modeling. More importantly, the methodology presented in this study enables the estimation of the kinematic wave model parameters anywhere over the globe, thus allowing flood modeling in ungauged basins at regional to global scales.

  14. Visual Knowledge.

    ERIC Educational Resources Information Center

    Chipman, Susan F.

    Visual knowledge is an enormously important part of our total knowledge. The psychological study of learning and knowledge has focused almost exclusively on verbal materials. Today, the advance of technology is making the use of visual communication increasingly feasible and popular. However, this enthusiasm involves the illusion that visual…

  15. Preserving Knowledge

    ERIC Educational Resources Information Center

    Taintor, Spence

    2008-01-01

    Every year, teachers leave the profession and take valuable experience and knowledge with them. An increasing retirement rate makes schools vulnerable to a significant loss of knowledge. This article describes how implementing a knowledge management process will ensure that valuable assets are captured and shared. (Contains 3 online resources.)

  16. 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

  17. 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

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

    PubMed

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

    2015-11-07

    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

  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 priori testing of subgrid-scale models for the velocity-pressure and vorticity-velocity formulations

    NASA Technical Reports Server (NTRS)

    Winckelmans, G. S.; Lund, T. S.; Carati, D.; Wray, A. A.

    1996-01-01

    Subgrid-scale models for Large Eddy Simulation (LES) in both the velocity-pressure and the vorticity-velocity formulations were evaluated and compared in a priori tests using spectral Direct Numerical Simulation (DNS) databases of isotropic turbulence: 128(exp 3) DNS of forced turbulence (Re(sub(lambda))=95.8) filtered, using the sharp cutoff filter, to both 32(exp 3) and 16(exp 3) synthetic LES fields; 512(exp 3) DNS of decaying turbulence (Re(sub(Lambda))=63.5) filtered to both 64(exp 3) and 32(exp 3) LES fields. Gaussian and top-hat filters were also used with the 128(exp 3) database. Different LES models were evaluated for each formulation: eddy-viscosity models, hyper eddy-viscosity models, mixed models, and scale-similarity models. Correlations between exact versus modeled subgrid-scale quantities were measured at three levels: tensor (traceless), vector (solenoidal 'force'), and scalar (dissipation) levels, and for both cases of uniform and variable coefficient(s). Different choices for the 1/T scaling appearing in the eddy-viscosity were also evaluated. It was found that the models for the vorticity-velocity formulation produce higher correlations with the filtered DNS data than their counterpart in the velocity-pressure formulation. It was also found that the hyper eddy-viscosity model performs better than the eddy viscosity model, in both formulations.

  1. 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.

  2. An A Priori Hot-Tearing Indicator Applied to Die-Cast Magnesium-Rare Earth Alloys

    NASA Astrophysics Data System (ADS)

    Easton, Mark A.; Gibson, Mark A.; Zhu, Suming; Abbott, Trevor B.

    2014-07-01

    Hot-tearing susceptibility is an important consideration for alloy design. Based on a review of previous research, an a priori indicator for the prediction of an alloy's hot-tearing susceptibility is proposed in this article and is applied to a range of magnesium-rare earth (RE)-based alloys. The indicator involves taking the integral over the solid fraction/temperature curve between the temperature when feeding becomes restricted (coherency) and that when a three-dimension network of solid is formed (coalescence). The hot-tearing propensity of Mg-RE alloys is found to vary greatly depending on which RE is primarily used, due to the difference in the solidification range. Mg-Nd alloys are the most susceptible to hot tearing, followed by Mg-Ce-based alloys, while Mg-La alloys show almost no hot tearing. The proposed indicator can be well applied to hot-tearing propensity of the Mg-RE alloys. It is expected that the indicator could be used as an estimation of the relative hot-tearing propensity in other alloy systems as well.

  3. '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.

  4. A Novel Principal Component Analysis-Based Acceleration Scheme for LES-ODT: An A Priori Study

    NASA Astrophysics Data System (ADS)

    Echekki, Tarek; Mirgolbabaei, Hessan

    2012-11-01

    A parameterization of the composition space based on principal component analysis (PCA) is proposed to represent the transport equations with the one-dimensional turbulence (ODT) solutions of a hybrid large-eddy simulation (LES) and ODT scheme. An a priori validation of the proposed approach is implemented based on stand-alone ODT solutions of the Sandia Flame F flame, which is characterized by different regimes of combustion starting with pilot stabilization, to extinction and reignition and self-stabilized combustion. The PCA analysis is carried out with a full set of the thermo-chemical scalars' vector as well as a subset of this vector. The subset is made up primarily of major species and temperature. The results show that the different regimes are reproduced using only three principal components for the thermo-chemical scalars based on the full and a subset of the thermo-chemical scalars' vector. Reproduction of the source term of the principal component represents a greater challenge. It is found that using the subset of the thermo-chemical scalars' vector both minor species and the first three principal components source terms are reasonably well predicted.

  5. Tomographic image via background subtraction using an x-ray projection image and a priori computed tomography

    PubMed Central

    Zhang, Jin; Yi, Byongyong; Lasio, Giovanni; Suntharalingam, Mohan; Yu, Cedric

    2009-01-01

    Kilovoltage x-ray projection images (kV images for brevity) are increasingly available in image guided radiotherapy (IGRT) for patient positioning. These images are two-dimensional (2D) projections of a three-dimensional (3D) object along the x-ray beam direction. Projecting a 3D object onto a plane may lead to ambiguities in the identification of anatomical structures and to poor contrast in kV images. Therefore, the use of kV images in IGRT is mainly limited to bony landmark alignments. This work proposes a novel subtraction technique that isolates a slice of interest (SOI) from a kV image with the assistance of a priori information from a previous CT scan. The method separates structural information within a preselected SOI by suppressing contributions to the unprocessed projection from out-of-SOI-plane structures. Up to a five-fold increase in the contrast-to-noise ratios (CNRs) was observed in selected regions of the isolated SOI, when compared to the original unprocessed kV image. The tomographic image via background subtraction (TIBS) technique aims to provide a quick snapshot of the slice of interest with greatly enhanced image contrast over conventional kV x-ray projections for fast and accurate image guidance of radiation therapy. With further refinements, TIBS could, in principle, provide real-time tumor localization using gantry-mounted x-ray imaging systems without the need for implanted markers. PMID:19928074

  6. 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

  7. High-resolution teleseismic tomography of upper-mantle structure using an a priori three-dimensional crustal model

    NASA Astrophysics Data System (ADS)

    Waldhauser, Felix; Lippitsch, Regina; Kissling, Edi; Ansorge, Jörg

    2002-08-01

    The effect of an a priori known 3-D crustal model in teleseismic tomography of upper-mantle structure is investigated. We developed a 3-D crustal P-wave velocity model for the greater Alpine region, encompassing the central and western Alps and the northern Apennines, to estimate the crustal contribution to teleseismic traveltimes. The model is constructed by comparative use of published information from active and passive seismic surveys. The model components are chosen to represent the present large-scale Alpine crustal structure and for their significant effect on the propagation of seismic wavefields. They are first-order structures such as the crust-mantle boundary, sedimentary basins and the high-velocity Ivrea body. Teleseismic traveltime residuals are calculated for a realistic distribution of azimuths and distances by coupling a finite-difference technique to the IASP91 traveltime tables. Residuals are produced for a synthetic upper-mantle model featuring two slab structures and the 3-D crustal model on top of it. The crustal model produces traveltime residuals in the range between -0.7 and 1.5 s that vary strongly as a function of backazimuth and epicentral distance. We find that the non-linear inversion of the synthetic residuals without correcting for the 3-D crustal structure erroneously maps the crustal anomalies into the upper mantle. Correction of the residuals for crustal structure before inversion properly recovers the synthetic slab structures placed in the upper mantle. We conclude that with the increasing amount of high-quality seismic traveltime data, correction for near-surface structure is essential for increasing resolution in tomographic images of upper-mantle structure.

  8. LETTER TO THE EDITOR: Essentially all Gaussian two-party quantum states are a priori nonclassical but classically correlated

    NASA Astrophysics Data System (ADS)

    Slater, Paul B.

    2000-08-01

    Duan et al (Duan L-M, Giedke G, Cirac J I and Zoller P 2000 Phys. Rev. Lett. 84 2722) and, independently, Simon (Simon R 2000 Phys. Rev. Lett. 84 2726) have recently found necessary and sufficient conditions for the separability (classical correlation) of the Gaussian two-party (continuous variable) states. Duan et al remark that their criterion is based on a `much stronger bound' on the total variance of a pair of Einstein-Podolsky-Rosen-type operators than is required simply by the uncertainty relation. Here, we seek to formalize and test this particular assertion in both classical and quantum-theoretic frameworks. We first attach to these states the classical a priori probability (Jeffreys' prior), proportional to the volume element of the Fisher information metric on the Riemannian manifold of Gaussian (quadrivariate normal) probability distributions. Then, numerical evidence indicates that more than 99% of the Gaussian two-party states do, in fact, meet the more stringent criterion for separability. We collaterally note that the prior probability assigned to the classical states, that is those having positive Glauber-Sudarshan P-representations, is less than 0.001%. We, then, seek to attach as a measure to the Gaussian two-party states the volume element of the associated (quantum-theoretic) Bures (minimal monotone) metric. Our several extensive analyses, then, persistently yield probabilities of separability and classicality that are, to very high orders of accuracy, unity and zero, respectively, so the two quite distinct (classical and quantum-theoretic) forms of analysis are rather remarkably consistent in their findings.

  9. Insights into organogelation and its kinetics from Hansen solubility parameters. Toward a priori predictions of molecular gelation.

    PubMed

    Diehn, Kevin K; Oh, Hyuntaek; Hashemipour, Reza; Weiss, Richard G; Raghavan, Srinivasa R

    2014-04-21

    Many small molecules can self-assemble by non-covalent interactions into fibrous networks and thereby induce gelation of organic liquids. However, no capability currently exists to predict whether a molecule in a given solvent will form a gel, a low-viscosity solution (sol), or an insoluble precipitate. Gelation has been recognized as a phenomenon that reflects a balance between solubility and insolubility; however, the distinction between these regimes has not been quantified in a systematic fashion. In this work, we focus on a well-known gelator, 1,3:2,4-dibenzylidene sorbitol (DBS), and study its self-assembly in various solvents. From these data, we build a framework for DBS gelation based on Hansen solubility parameters (HSPs). While the HSPs for DBS are not known a priori, the HSPs are available for each solvent and they quantify the solvent's ability to interact via dispersion, dipole-dipole, and hydrogen bonding interactions. Using the three HSPs, we construct three-dimensional plots showing regions of solubility (S), slow gelation (SG), instant gelation (IG), and insolubility (I) for DBS in the different solvents at a given temperature and concentration. Our principal finding is that the above regions radiate out as concentric shells: i.e., a central solubility (S) sphere, followed in order by spheres corresponding to SG, IG, and I regions. The distance (R0) from the origin of the central sphere quantifies the incompatibility between DBS and a solvent-the larger this distance, the more incompatible the pair. The elastic modulus of the final gel increases with R0, while the time required for a super-saturated sol to form a gel decreases with R0. Importantly, if R0 is too small, the gels are weak, but if R0 is too large, insolubility occurs-thus, strong gels fall within an optimal window of incompatibility between the gelator and the solvent. Our approach can be used to design organogels of desired strength and gelation time by judicious choice of a

  10. 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.

  11. [An a priori risk analysis study. Securisation of transfusion of blood product in a hospital: from the reception in the medical unit to its administration].

    PubMed

    Bertrand, E; Lévy, R; Boyeldieu, D

    2013-12-01

    Following an ABO accident after transfusion of red blood cells, an a priori risk analysis study is being performed in a hospital. The scope of this analysis covers from the reception of the blood product in the medical unit to its administration. The risk analysis enables to identify the potentially dangerous situations and the evaluation of the risks in order to propose corrective measures (precautionary or protective) and bring the system back to an acceptable risk level. The innovative concept of an a priori risk analysis in the medical field allows the extension of the analysis of this transfusion risk to other hospitals. In addition, it allows the extension of the use of this approach to other medical fields.

  12. 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.

  13. Procedural knowledge

    NASA Technical Reports Server (NTRS)

    Georgeff, Michael P.; Lansky, Amy L.

    1986-01-01

    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, the 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.

  14. 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

  15. Improvement of Tidal Analysis Results by a Priori Rain Fall Modelling at the Vienna and Membach stations

    NASA Astrophysics Data System (ADS)

    Meurers, B.; van Camp, M.; Petermans, T.

    2005-12-01

    We investigate how far tidal analysis results can be improved when a rain fall admittance model is applied on the superconducting gravity (SG) data. For that purpose both Vienna and Membach data have been analysed with and without a priori rain fall correction. In Membach the residual drop for most events (80%) can be explained by the rain water load, while in Vienna only 50% of all events fit the model in detail. In the other cases the Newtonian effect of vertical air mass redistribution (vertical density variation without air pressure change), predominantly connected with high vertical convection activity, e.g. thunderstorms, plays an essential role: short-term atmospheric signals show up steep gravity residual decreases of a few nms-2 within 10 - 60 min, well correlated with outdoor air temperature in most cases. However, even in those cases the water load model is able to explain the dominating part of the residual drop especially during heavy rain fall. In Vienna more than 110 events have been detected over 10 years. 84% of them are associated with heavy rain starting at or up to 10 min later than the residual drop while the rest (16%) shows no or only little rainfall. The magnitude of the gravity drop depends on the total amount of rainfall accumulated during the meteorological event. Step like signals deteriorate the frequency spectrum estimates. This even holds for tidal analysis. As the drops are of physical origin, they should not be eliminated blindly but corrected using water load modeling constrained by high temporal resolution (1 min) rain data. 3D modeling of the water mass load due to a rain event is based on the following assumptions: (1) Rain water intrudes into the uppermost soil layer (close to the topography surface) and remains there at least until rain has stopped. This is justified for a period of some hours after the rainfall as evapotranspiration is not yet effective. (2) No run-off except of sealed areas or building roofs, where water can

  16. A priori estimate of the quality of a data compression system based on statistical characteristics of the sensors used

    NASA Technical Reports Server (NTRS)

    Khodarev, Y. K.; Yevdokimov, V. P.; Pokras, V. M.

    1974-01-01

    Knowledge of the composition and certain statistical characteristics of the output signals of the scientific instruments on board a space vehicle allows determination of possible signal processing algorithms in the system and to evaluate the prospects for utilization of data reduction. A method is presented to estimate the compression factor of an on-board data collection and processing system with known mean activities of the sensors used and unknown mutual correlation of their output signals.

  17. 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…

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

    SciTech Connect

    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.

    2016-05-09

    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 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 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.

  19. 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

  20. 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.

  1. Knowledge-based image bandwidth compression and enhancement

    NASA Astrophysics Data System (ADS)

    Saghri, John A.; Tescher, Andrew G.

    1987-01-01

    Techniques for incorporating a priori knowledge in the digital coding and bandwidth compression of image data are described and demonstrated. An algorithm for identifying and highlighting thin lines and point objects prior to coding is presented, and the precoding enhancement of a slightly smoothed version of the image is shown to be more effective than enhancement of the original image. Also considered are readjustment of the local distortion parameter and variable-block-size coding. The line-segment criteria employed in the classification are listed in a table, and sample images demonstrating the effectiveness of the enhancement techniques are presented.

  2. Priori calculations of pK/sub a/'s for organic compounds in water. The pK/sub a/ of ethane

    SciTech Connect

    Jorgensen, W.L.; Briggs, J.M.; Gao, J.

    1987-10-28

    The enduring fascination of organic chemists with acidities and basicities reflects the fundamental importance of these concepts in understanding organic reactivity. Developing scales of aqueous acidities for weak organic acids is challenging in view of the need for extrapolations from organic solvents to water, ion-pairing and aggregation effects for organometallic compounds, and the derivation of thermodynamic quantities from kinetic measurements. The problems are reflected in the experimental ranges for the pK/sub a/'s of the simplest alkanes, methane and ethane, which cover from 40 to 60. In the present communication, they demonstrate how simulation methodology can be used to obtain a priori predictions for the relative pK/sub a/'s of organic compounds in water. The first applications are for the pK/sub a/'s of acetonitrile and ethane relative to methanethiol.

  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. Using a priori contrasts for multivariate repeated-measures ANOVA to analyze thermoregulatory responses of the dibbler (Parantechinus apicalis; Marsupialia, Dasyuridae).

    PubMed

    Withers, Philip C; Cooper, Christine E

    2011-01-01

    Physiological studies often involve the repeated measurement of individuals over a range of ordered categorical conditions, for example, varying ambient temperature. We illustrate here the use of a priori contrasts for multivariate repeated-measures ANOVA by analyzing the thermal responses of various physiological variables for a small marsupial, the dibbler (Parantechinus apicalis). Our analyses showed that dibblers conform closely to the Scholander-Irving model of endothermy. Body temperature was constant at low air temperatures, was 36.3 ± 0.24°C at thermoneutrality (30°C), and increased at 35°C. Metabolic rate decreased with increasing ambient temperature to a basal rate of 0.619 ± 0.036 mL O(2) g(-1) h(-1) at 30°C; it extrapolated closely to thermoneutral body temperature. Increased oxygen demand at lower ambient temperature was met by increased respiratory minute volume, achieved by increased respiratory frequency and tidal volume; oxygen extraction was constant at about 19%. Evaporative water loss and wet and dry thermal conductance increased markedly at high ambient temperatures but not sufficiently to maintain constant body temperature. Relative water economy was similar to that of other small marsupials, increasing linearly at lower air temperatures with a point of relative water economy of 20.3°C. We conclude that a priori contrasts provide a statistically appropriate and powerful analysis that can be used routinely to statistically describe the pattern of response of physiological variables to a categorical factor and are especially useful for repeated-measures ANOVA designs common to many physiological studies.

  5. 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.

  6. 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.

  7. The Knowledge Warehouse: Reusing Knowledge Components.

    ERIC Educational Resources Information Center

    Yacci, Michael

    1999-01-01

    Currently there is little knowledge reuse across training, documentation, and performance support. Knowledge-based materials developed for one purpose are not shared or reused in others. The Knowledge Warehouse, a conceptual solution to this problem is discussed. Benefits and limitations are outlined and a definition of a standardized…

  8. 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…

  9. 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…

  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. A Priori Analysis of Subgrid Mass Flux Vectors from Massively Parallel Direct Numerical Simulations of High Pressure H2/O2 Reacting Shear Layers

    NASA Astrophysics Data System (ADS)

    Foster, Justin; Miller, Richard

    2011-11-01

    Direct Numerical Simulations (DNS) are conducted for temporally developing reacting H2/O2 shear layers at an ambient pressure of 100atm. The compressible form of the governing equations are coupled with the Peng Robinson real gas equation of state and are solved using eighth order central finite differences and fourth order Runge Kutta time integration with resolutions up to ~3/4 billion grid points. The formulation includes a detailed pressure dependent kinetics mechanism having 8 species and 19 steps, detailed property models, and generalized forms of the multicomponent heat and mass diffusion vectors derived from nonequilibrium thermodynamics and fluctuation theory. The DNS is performed over a range of Reynolds numbers up to 4500 based on the free stream velocity difference and initial vorticity thickness. The results are then analyzed in an a priori manner to illustrate the role of the subgrid mass flux vector within the filtered form of the governing equations relevant to Large Eddy Simulations. The subgrid mass flux vector is found to be a significant term; particularly within localized regions of the flame. Research supported by NSF Grant CBET-0965624 and Clemson University's Palmetto Cluster.

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

    PubMed Central

    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. PMID:11079895

  13. Extensible knowledge-based architecture for segmenting CT data

    NASA Astrophysics Data System (ADS)

    Brown, Matthew S.; McNitt-Gray, Michael F.; Goldin, Jonathan G.; Aberle, Denise R.

    1998-06-01

    A knowledge-based system has been developed for segmenting computed tomography (CT) images. Its modular architecture includes an anatomical model, image processing engine, inference engine and blackboard. The model contains a priori knowledge of size, shape, X-ray attenuation and relative position of anatomical structures. This knowledge is used to constrain low-level segmentation routines. Model-derived constraints and segmented image objects are both transformed into a common feature space and posted on the blackboard. The inference engine then matches image to model objects, based on the constraints. The transformation to feature space allows the knowledge and image data representations to be independent. Thus a high-level model can be used, with data being stored in a frame-based semantic network. This modularity and explicit representation of knowledge allows for straightforward system extension. We initially demonstrate an application to lung segmentation in thoracic CT, with subsequent extension of the knowledge-base to include tumors within the lung fields. The anatomical model was later augmented to include basic brain anatomy including the skull and blood vessels, to allow automatic segmentation of vascular structures in CT angiograms for 3D rendering and visualization.

  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. 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

  16. 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

  17. Why Explicit Knowledge Cannot Become Implicit Knowledge

    ERIC Educational Resources Information Center

    VanPatten, Bill

    2016-01-01

    In this essay, I review one of the conclusions in Lindseth (2016) published in "Foreign Language Annals." That conclusion suggests that explicit learning and practice (what she called form-focused instruction) somehow help the development of implicit knowledge (or might even become implicit knowledge). I argue for a different…

  18. Teacher Knowledge-Ability and Pupil Achievement.

    ERIC Educational Resources Information Center

    Tanner, Daniel; Celso, Nicholas

    The effectiveness of schools and the levels of investment in schooling have been in question since the 1966 Coleman report "Equality of Educational Opportunity." Based on a theory of "knowledge-ability," this study challenges the assumption that given "inputs" will yield equivalent effects or "outputs." In…

  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. A priori performance prediction in pharmaceutical wet granulation: testing the applicability of the nucleation regime map to a formulation with a broad size distribution and dry binder addition.

    PubMed

    Kayrak-Talay, Defne; Litster, James D

    2011-10-14

    In this study, Hapgood's nucleation regime map (Hapgood et al., 2003) was tested for a formulation that consists of an active pharmaceutical ingredient (API) of broad size distribution and a fine dry binder. Gabapentin was used as the API and hydroxypropyl cellulose (HPC) as the dry binder with deionized water as the liquid binder. The formulation was granulated in a 6l Diosna high shear granulator. The effect of liquid addition method (spray, dripping), liquid addition rate (29-245 g/min), total liquid content (2, 4 and 10%), and impeller speed (250 and 500 rpm) on the granule size distribution and lump formation were investigated. Standard methods were successfully used to characterize the process parameters (spray drop size, spray geometry and powder surface velocity) for calculating the dimensionless spray flux. However, the addition of dry binder had a very strong effect on drop penetration time that could not be predicted from simple capillary flow considerations. This is most likely due to preferential liquid penetration into the fine pores related to the dry binder particles and subsequent partial softening and dissolution of the binder. For systems containing a dry binder or other amorphous powders, it is recommended that drop penetration time be measured directly for the blended formulation and then scaled to the drop size during spraying. Using these approaches to characterize the key dimensionless groups (dimensionless spray flux and drop penetration time), Hapgood's nucleation regime map was successfully used to predict a priori the effect of process conditions on the quality of the granule size distribution as measured by lump formation and the span of the size distribution, both before and after wet massing for range of conditions studied. Wider granule size distributions and higher amount of lumps were obtained moving from intermediate to mechanical dispersion regime. Addition of the liquid in the dripping mode gave the broadest size distribution

  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. 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.

  3. 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.

  4. 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…

  5. 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…

  6. 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…

  7. 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.…

  8. 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.

  9. [Knowledge production: a dialogue among different knowledge].

    PubMed

    Erdmann, Alacoque Lorenzini; Schlindwein, Betina Hömer; de Sousa, Francisca Georgina Macedo

    2006-01-01

    This text approaches the necessary dialogue among different knowledge and considers the advances within Nursing in the search for consistence and clarity within the Nursing discipline. Towards this end, the text is based upon transdisciplinarity, intersectorality, complexity, and the interaction of different pairs in health and other areas, as well as the sustainance of scientific and technological space within Nursing. It argues perspectives that open possibilities for scientific and technological knowledge construction within a more responsible and mutual social commitment. The purpose of the paperis to amplify the aptitude for contextualization and globalize different knowledge, as well as transcend differences and peculiarities within the perspective of more qualitative policies which may overcome disciplinary barriers.

  10. 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.

  11. 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…

  12. Indigenous Knowledge within a Global Knowledge System

    ERIC Educational Resources Information Center

    Durie, Mason

    2005-01-01

    Faced with globalizing forces that promote universal approaches to knowledge and understanding, indigenous peoples have reacted by abandoning the old ways or alternately seeking to re-discover ancient wisdoms as foundations for pathways to the future. Increasingly, however, a third way has been to focus on the interface between indigenous…

  13. Reasoning about procedural knowledge

    NASA Technical Reports Server (NTRS)

    Georgeff, M. P.

    1985-01-01

    A crucial aspect of automated reasoning about space operations is that knowledge of the problem domain is often procedural in nature - that is, the knowledge is often in the form of sequences of actions or procedures for achieving given goals or reacting to certain situations. In this paper a system is described that explicitly represents and reasons about procedural knowledge. The knowledge representation used is sufficiently rich to describe the effects of arbitrary sequences of tests and actions, and the inference mechanism provides a means for directly using this knowledge to reach desired operational goals. Furthermore, the representation has a declarative semantics that provides for incremental changes to the system, rich explanatory capabilities, and verifiability. The approach also provides a mechanism for reasoning about the use of this knowledge, thus enabling the system to choose effectively between alternative courses of action.

  14. Knowledge and Distributed computation

    DTIC Science & Technology

    1990-05-01

    convincing evidence that reasoning in terms of knowledge can lead to .. n... uif.yi ...... lts" about diStfibuLuc computation, and we extend the standard...can be made precise in the context of computer science. In this thesis, we pro- vide convincing evidence that reasoning in terms of knowledge can lead ...against different adversaries. We show how different adversaries lead to different definitions of probabilistic knowledge, and given a particular adversary

  15. Knowledge Resources or Decisions?

    DTIC Science & Technology

    1991-08-01

    representation as grammatical resources proposed within Systemic Func- tional Linguistics (SFL) ( Halliday , 1978) is not only corn- conducted taking the first...knowledge. In this paper, we argue that all the linguistic knowledge What we therefore aim at is to draw a clear borderline necessary to construct a...text should be declaratively rep- between linguistic knowledge to be encoded declaratively resented as resources available to a text planner. and

  16. Research in Knowledge Delivery

    DTIC Science & Technology

    1990-02-28

    widespread desire among AI and Computational Linguistics workers for bidirectional grammars in which the two directions (analysis and synthesis) are...Computational Linguistics . The prospects are described in Section 2.2. 1.3 Knowledge Representations As in all the symbolic disciplines, development of...notations for linguistically prominent kinds of knowledge, researchers in language generation can help the development of solid and powerful knowledge

  17. Prior Knowledge Assessment Guide

    DTIC Science & Technology

    2014-12-01

    Research Product 2015-01 Prior Knowledge Assessment Guide Gary M. Stallings Northrop Grumman Corporation Jean L...Prior Knowledge Assessment Guide 5a. CONTRACT OR GRANT NUMBER W5J9CQ-11-D-0001 5b. PROGRAM ELEMENT NUMBER 633007 6. AUTHOR(S...instructors had a good understanding of what prior knowledge was relevant for their courses. The purpose of the guide documented in this report is

  18. 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.

  19. 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).

  20. 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.

  1. Knowledge-based goal-driven approach for information extraction and decision making for target recognition

    NASA Astrophysics Data System (ADS)

    Wilson, Roderick D.; Wilson, Anitra C.

    1996-06-01

    This paper presents a novel goal-driven approach for designing a knowledge-based system for information extraction and decision-making for target recognition. The underlying goal-driven model uses a goal frame tree schema for target organization, a hybrid rule-based pattern- directed formalism for target structural encoding, and a goal-driven inferential control strategy. The knowledge-base consists of three basic structures for the organization and control of target information: goals, target parameters, and an object-rulebase. Goal frames represent target recognition tasks as goals and subgoals in the knowledge base. Target parameters represent characteristic attributes of targets that are encoded as information atoms. Information atoms may have one or more assigned values and are used for information extraction. The object-rulebase consists of pattern/action assertional implications that describe the logical relationships existing between target parameter values. A goal realization process formulates symbolic patten expressions whose atomic values map to target parameters contained a priori in a hierarchical database of target state information. Symbolic pattern expression creation is accomplished via the application of a novel goal-driven inference strategy that logically prunes an AND/OR tree constructed object-rulebase. Similarity analysis is performed via pattern matching of query symbolic patterns and a priori instantiated target parameters.

  2. Generating a mortality model from a pediatric ICU (PICU) database utilizing knowledge discovery.

    PubMed Central

    Kennedy, Curtis E.; Aoki, Noriaki

    2002-01-01

    Current models for predicting outcomes are limited by biases inherent in a priori hypothesis generation. Knowledge discovery algorithms generate models directly from databases, minimizing such limitations. Our objective was to generate a mortality model from a PICU database utilizing knowledge discovery techniques. The database contained 5067 records with 192 clinically relevant variables. It was randomly split into training (75%) and validation (25%) groups. We used decision tree induction to generate a mortality model from the training data, and validated its performance on the validation data. The original PRISM algorithm was used for comparison. The decision tree model contained 25 variables and predicted 53/88 deaths; 29 correctly (Sens:33%, Spec:98%, PPV:54%). PRISM predicted 27/88 deaths correctly (Sens:30%, Spec:98%, PPV:51%). Performance difference between models was not significant. We conclude that knowledge discovery algorithms can generate a mortality model from a PICU database, helping establish validity of such tools in the clinical medical domain. PMID:12463850

  3. Cooperative Knowledge Bases.

    DTIC Science & Technology

    1988-02-01

    intellegent knowledge bases. The present state of our system for concurrent evaluation of a knowledge base of logic clauses using static allocation...de Kleer, J., An assumption-based TMS, Artificial Intelligence, Vol. 28, No. 2, 1986. [Doyle 79) Doyle, J. A truth maintenance system, Artificial

  4. 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…

  5. Facilitating Naval Knowledge Flow

    DTIC Science & Technology

    2001-07-01

    Transition ...................................................................... 9 Figure 5 Nonaka Knowledge Flow Theory...terms of the dimension reach above. Episteoloogical Explicit Tackt Individual Group Organizabori loter-organization Ontological Figure 5 Nonaka ... Knowledge Flow Theory (Adapted from [48]) As depicted in Figure 5, Nonaka views the interaction between these dimensions as the principal drivers of

  6. 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…

  7. 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.…

  8. 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.

  9. 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…

  10. Intuition, Knowledge and Education.

    ERIC Educational Resources Information Center

    Agyakwa, Kofi

    1988-01-01

    Urges educators to examine the role that intuition can play in the teaching-learning process. Analyzes four models of intuitive knowledge, and reviews arguments against intuitive claims to knowledge. Discusses the universality of intuition, its relationship to self-evident truths, and its role in scientific discoveries, inventions, and art. (DMM)

  11. 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)

  12. Interest and Prior Knowledge.

    ERIC Educational Resources Information Center

    Tobias, Sigmund

    This paper selectively reviews research on the relationship between topic interest and prior knowledge, and discusses the optimal association between these variables. The paper points out that interest has a facilitating impact on learning, and at least part of this effect must be ascribed to prior knowledge. While the interest-knowledge…

  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. 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…

  15. 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 instructional…

  16. Knowledge and resilience.

    PubMed

    Lau, Joe Yen-fong

    2015-01-01

    Kalisch et al. regard a positive appraisal style as the mechanism for promoting resilience. I argue that knowledge can enhance resilience without affecting appraisal style. Furthermore, the relationship between positive appraisals and resilience ought to be mediated by knowledge and is not monotonic. Finally, I raise some questions about how appraisals fit into the dual-process model of the mind.

  17. The Knowledge Race.

    ERIC Educational Resources Information Center

    Krell, Eric

    2001-01-01

    Shorter learning cycles for workers are a strategic advantage for most companies. Companies that complement product cycles with knowledge often employ four strategies: (1) early involvement in training, (2) conducive organizational structure, (3) innovative knowledge delivery, and (4) breadth of content. (JOW)

  18. 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…

  19. Knowledge Production and Utilization.

    ERIC Educational Resources Information Center

    Beal, George M.; Meehan, Peter

    The study of knowledge production and utilization deals with the problems of how to translate theoretical concepts and knowledge into practical solutions to people's problems. Many criticisms have been leveled at aspects of previous information system models, including their linearity, one-way communication paths, overdependence on scientific…

  20. 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…

  1. Translating Facts into Knowledge

    ERIC Educational Resources Information Center

    Umewaka, Soraya

    2011-01-01

    Many education systems have a tendency to be limiting and rigid. These systems teach children to value facts over knowledge and routine and repetition over playfulness and curiosity to seek knowledge. How can we unleash our children's imagination and permit them to use play and other creative tools as a means of learning? This article proposes new…

  2. Building Background Knowledge

    ERIC Educational Resources Information Center

    Fisher, Douglas; Ross, Donna; Grant, Maria

    2010-01-01

    Too often, students enter our classrooms with insufficient knowledge of physical science. As a result, they have a difficult time understanding content in texts, lectures, and laboratory activities. This lack of background knowledge can have an impact on their ability to ask questions and wonder--both key components of inquiry. In this article,…

  3. How Knowledge Powers Reading

    ERIC Educational Resources Information Center

    Lemov, Doug

    2017-01-01

    Recent research shows that reading comprehension relies heavily on prior knowledge. Far more than generic "reading skills" like drawing inferences, making predictions, and knowing the function of subheads, how well students learn from a nonfiction text depends on their background knowledge of the text's subject matter. And in a cyclical…

  4. 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.

  5. 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.

  6. 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)

  7. 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

  8. 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…

  9. 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

  10. 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.

  11. 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;…

  12. 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 ...

  13. 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.

  14. 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

  15. Knowledge Management Section

    DTIC Science & Technology

    2008-08-01

    CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ...ORGANIZATION NAME(S) AND ADDRESS(ES) Headquarters,Department of the Army,Washington,DC 8. PERFORMING ORGANIZATION REPORT NUMBER ; - 9. SPONSORING...Range of knowledge management strategies..................................................... 1-9 Figure 1-4. Knowledge management and the cognitive

  16. Knowledge and information modeling.

    PubMed

    Madsen, Maria

    2010-01-01

    This chapter gives an educational overview of: * commonly used modelling methods what they represent * the importance of selecting the tools and methods suited to the health information system being designed * how the quality of the information or knowledge model is determined by the quality of the system requirements specification * differentiating between the purpose of information models and knowledge models * the benefits of the openEHR approach for health care data modeling.

  17. 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

  18. Hybrid knowledge systems

    NASA Technical Reports Server (NTRS)

    Subrahmanian, V. S.

    1994-01-01

    An architecture called hybrid knowledge system (HKS) is described that can be used to interoperate between a specification of the control laws describing a physical system, a collection of databases, knowledge bases and/or other data structures reflecting information about the world in which the physical system controlled resides, observations (e.g. sensor information) from the external world, and actions that must be taken in response to external observations.

  19. Demonopolizing medical knowledge.

    PubMed

    Arora, Sanjeev; Thornton, Karla; Komaromy, Miriam; Kalishman, Summers; Katzman, Joanna; Duhigg, Daniel

    2014-01-01

    In the past 100 years, there has been an explosion of medical knowledge-and in the next 50 years, more medical knowledge will be available than ever before. Regrettably, current medical practice has been unable to keep pace with this explosion of medical knowledge. Specialized medical knowledge has been confined largely to academic medical centers (i.e., teaching hospitals) and to specialists in major cities; it has been disconnected from primary care clinicians on the front lines of patient care. To bridge this disconnect, medical knowledge must be demonopolized, and a platform for collaborative practice amongst all clinicians needs to be created. A new model of health care and education delivery called Project ECHO (Extension for Community Healthcare Outcomes), developed by the first author, does just this. Using videoconferencing technology and case-based learning, ECHO's medical specialists provide training and mentoring to primary care clinicians working in rural and urban underserved areas so that the latter can deliver the best evidence-based care to patients with complex health conditions in their own communities. The ECHO model increases access to care in rural and underserved areas, and it demonopolizes specialized medical knowledge and expertise.

  20. 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…

  1. 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.

  2. The Music Educator's Professional Knowledge

    ERIC Educational Resources Information Center

    Jorquera Jaramillo, Maria Cecilia

    2008-01-01

    Professional knowledge in teaching is broadly based on personal knowledge. Hence, it is important to build teachers' development out of their initial knowledge. The idea of a sociogenesis of educational knowledge, teacher knowledge and training models as well as teaching models are the basis of this study. It aims to diagnose the knowledge…

  3. Knowledge, knowledge, who's got the knowledge? The male contraceptive career.

    PubMed

    Swanson, J M

    1980-01-01

    most common pattern among men in this study. In this instance the man becomes increasingly involved in the family planning process. This man has access to knowledge through his partner and enters a process of determining what he needs to know and, in turn, finding out how he can use what he has gained to insure a more satisfactory outcome. These men put much effort into increasing their understanding of their partner's family planning experience. The assuming pattern is based on the man's perception of himself as an outsider who makes the assumption that his partner is managing family planning alone. He is less involved than men in the other 2 patterns.

  4. 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

  5. Knowledge management across domains

    NASA Astrophysics Data System (ADS)

    Gilfillan, Lynne G.; Haddock, Gail; Borek, Stan

    2001-02-01

    This paper presents a secure, Internet-enabled, third wave knowledge management system. TheResearchPlaceTM, that will facilitate a collaborative, strategic approach to analyzing public safety problems and developing interventions to reduce them. TheResearchPlace, currently being developed under Government and private funding for use by the National Cancer Institute, Federal agencies, and the Defense Advanced Research Project Agency, will augment Geographic Information Systems and analytical tool capabilities by providing a synergistic workspace where teams of multidisciplinary professions can manage portfolios of existing knowledge resources, locate and create new knowledge resources that are added to portfolios, and collaborate with colleagues to leverage evolving portfolios' capabilities on team missions. TheResearchPlace is currently in use by selected alpha users at selected federal sites, and by the faculty of Howard University.

  6. LIS Professionals as Knowledge Engineers.

    ERIC Educational Resources Information Center

    Poulter, Alan; And Others

    1994-01-01

    Considers the role of library and information science professionals as knowledge engineers. Highlights include knowledge acquisition, including personal experience, interviews, protocol analysis, observation, multidimensional sorting, printed sources, and machine learning; knowledge representation, including production rules and semantic nets;…

  7. 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.

  8. Modelling of classification rules on metabolic patterns including machine learning and expert knowledge.

    PubMed

    Baumgartner, Christian; Böhm, Christian; Baumgartner, Daniela

    2005-04-01

    Machine learning has a great potential to mine potential markers from high-dimensional metabolic data without any a priori knowledge. Exemplarily, we investigated metabolic patterns of three severe metabolic disorders, PAHD, MCADD, and 3-MCCD, on which we constructed classification models for disease screening and diagnosis using a decision tree paradigm and logistic regression analysis (LRA). For the LRA model-building process we assessed the relevance of established diagnostic flags, which have been developed from the biochemical knowledge of newborn metabolism, and compared the models' error rates with those of the decision tree classifier. Both approaches yielded comparable classification accuracy in terms of sensitivity (>95.2%), while the LRA models built on flags showed significantly enhanced specificity. The number of false positive cases did not exceed 0.001%.

  9. 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…

  10. Assessing Knowledge of Cultures.

    ERIC Educational Resources Information Center

    Norris, Robert

    The procedures used in a study to determine how well a group of American Indian college students understood their traditional and modern cultures and a college Caucasian culture were explained in this paper. The sample consisted of 111 Indian students enrolled in the University of New Mexico. The students were tested in the areas of knowledge of…

  11. 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…

  12. 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…

  13. Activating event knowledge.

    PubMed

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

    2009-05-01

    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.

  14. Knowledge Representation in PARKA

    DTIC Science & Technology

    1990-02-01

    the color of Poodle could be restricted to being just black or white, while the color of Irish-Setter could be set to red. Note that this would allow a...sub- field of knowledge representation with considerable subtlety and a history of interesting, difficult problems (see, e.g. [10]). Winston et. al

  15. 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.

  16. Online Knowledge Communities.

    ERIC Educational Resources Information Center

    de Vries, Sjoerd; Bloemen, Paul; Roossink, Lonneke

    This paper describes the concept of online knowledge communities. The concept is defined, and six qualities of online communities are identified: members (user roles are clearly defined); mission (generally accepted goal-statement, ideas, beliefs, etc.); commitment (members give their loyalty to the mission); social interaction (frequent…

  17. NHS clinical knowledge summaries.

    PubMed

    Richards, Derek

    2009-01-01

    The UK National Health Service (NHS) Clinical Knowledge Summaries, formerly known as PRODIGY, are part of the National Library for Health and provide a source of evidence-based information and practical know-how relating to the common conditions managed in primary care.

  18. Reasoning from Incomplete Knowledge.

    ERIC Educational Resources Information Center

    Collins, Allan M.; And Others

    People use a variety of plausible, but uncertain inferences to answer questions about which their knowledge is incomplete. Such inferential thinking and reasoning is being incorporated into the SCHOLAR computer-assisted instruction (CAI) system. Socratic tutorial techniques in CAI systems such as SCHOLAR are described, and examples of their…

  19. Electoral Knowledge and Uncertainty.

    ERIC Educational Resources Information Center

    Blood, R. Warwick; And Others

    Research indicates that the media play a role in shaping the information that voters have about election options. Knowledge of those options has been related to actual vote, but has not been shown to be strongly related to uncertainty. Uncertainty, however, does seem to motivate voters to engage in communication activities, some of which may…

  20. 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…

  1. 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…

  2. 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…

  3. 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.

  4. 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…

  5. 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…

  6. 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…

  7. 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…

  8. 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.

  9. 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.

  10. Knowledge Translation: Implications for Evaluation

    ERIC Educational Resources Information Center

    Davison, Colleen M.

    2009-01-01

    Translation theory originates in the field of applied linguistics and communication. The term knowledge translation has been adopted in health and other fields to refer to the exchange, synthesis, and application of knowledge. The logic model is a circular or iterative loop among various knowledge translation actors (knowledge producers and users)…

  11. 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…

  12. 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…

  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.

  15. [The diffusion of knowledge].

    PubMed

    Ramiro-H, Manuel; Cruz-A, Enrique

    2016-01-01

    Between August 19 and 21, the Feria del Libro de las Ciencias de la Salud (Healthcare Book Fair) took place in the Palacio de Medicina in Mexico City. Archives of Medical Research, Revista Médica del IMSS, and Saber IMSS, three of the main instruments of knowledge diffusion of the Instituto Mexicano del Seguro Social, assisted to this book fair, which was organized by the Facultad de Medicina of UNAM.

  16. The Knowledge Level

    DTIC Science & Technology

    1981-07-01

    precisely to realizing mental functions in physical systems. In the hands of Daniel Dennett (1978), a philosopher who has concerned himself rather...illustrated repeatedly by Dennett with the gross flow diagrams of AI programs. The intentional stance corresponds to the knowledge level. In...particular, Dennett takes the important step of jettisoning the major result-cum- assumption of the original doctrine, to wit, that the intentional is

  17. Aeronautical Knowledge (Selected Articles),

    DTIC Science & Technology

    1981-01-14

    UNCLASSIFIED FTD-ID RSN -12348 Nm m ED I FTD-ID(RS)T-1234-80-- FOREIGN TECHNOLOGY DIVISION AERONAUTICAL KNOWLEDGE (Selected Articles) * DTIC cm. ’- D...of the spacecraft cabin, went through the structure of the eyes of the astronauts, and caused them to see flahig-. The frequency of the flashing was...to tell space travelers of the existence of belts of high radiation end alert them to the danger. Present and future missins must clarify the

  18. Creating illusions of knowledge: learning errors that contradict prior knowledge.

    PubMed

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

    2013-02-01

    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 before they read stories that contained errors (e.g., "Franklin invented the light bulb"). On a later general-knowledge test, participants reproduced story errors despite previously answering the questions correctly. This misinformation effect was found even for questions that were answered correctly on the initial test with the highest level of confidence. Furthermore, prior knowledge offered no protection against errors entering the knowledge base; the misinformation effect was equivalent for previously known and unknown facts. Errors can enter the knowledge base even when learners have the knowledge necessary to catch the errors.

  19. 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

  20. 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.

  1. 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…

  2. 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.

  3. 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.

  4. 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.

  5. A Priori Calculations of Thermodynamic Functions

    DTIC Science & Technology

    1991-12-01

    hypothetical molecules (hydroxy-methyl- amino)nitro-methanol, 2,4,6,8-tetraazabicyclo-[3.3.0]octane, and 1,2,3-oxadiazolo-1,2,3- oxadiazole -1,1 -dioxide...C.010 rs 13,4 Oxadiazole 1.267 1.297h 0.030 rs 13,4 Thiadiazole 1.277 1.302 i 0.025 rs Diazomethane 1.288 1.300J 0.012 rs Pyrazole 1.309 1.331k 0.022...1.330f 0.018 ra Pyrazole 1.335 1.590.016 rs Dimethyl Nitramine 1 .365h 1.383i 0.018 r 1,3,4 Thladiazole 1.378 1.371i -0.007 r 1,3,4 Oxadiazole 1.402 1.9k

  6. 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.

  7. Vision without knowledge.

    PubMed Central

    Milner, A D

    1997-01-01

    A brain-damaged patient (D.F.) with visual form agnosia is described and discussed. D.F. has a profound inability to recognize objects, places and people, in large part because of her inability to make perceptual discriminations of size, shape or orientation, despite having good visual acuity. Yet she is able to perform skilled actions that depend on that very same size, shape and orientation information that is missing from her perceptual awareness. It is suggested that her intact vision can best be understood within the framework of a dual processing model, according to which there are two cortical processing streams operating on different coding principles, for perception and for action, respectively. These may be expected to have different degrees of dependence on top-down information. One possibility is that D.F.'s lack of explicit awareness of the visual cues that guide her behaviour may result from her having to rely on a processing system which is not knowledge-based in a broad sense. Conversely, it may be that the perceptual system can provide conscious awareness of its products in normal individuals by virtue of the fact that it does interact with a stored base of visual knowledge. PMID:9304691

  8. 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.

  9. 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).

  10. Knowledge Growth: Applied Models of General and Individual Knowledge Evolution

    ERIC Educational Resources Information Center

    Silkina, Galina Iu.; Bakanova, Svetlana A.

    2016-01-01

    The article considers the mathematical models of the growth and accumulation of scientific and applied knowledge since it is seen as the main potential and key competence of modern companies. The problem is examined on two levels--the growth and evolution of objective knowledge and knowledge evolution of a particular individual. Both processes are…

  11. 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…

  12. 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…

  13. Pedagogical Content Knowledge and Content Knowledge of Secondary Mathematics Teachers

    ERIC Educational Resources Information Center

    Krauss, Stefan; Brunner, Martin; Kunter, Mareike; Baumert, Jurgen; Neubrand, Michael; Blum, Werner; Jordan, Alexander

    2008-01-01

    Drawing on the work of L. S. Shulman (1986), the authors present a conceptualization of the pedagogical content knowledge and content knowledge of secondary-level mathematics teachers. They describe the theory-based construction of tests to assess these knowledge categories and the implementation of these tests in a sample of German mathematics…

  14. 'Ethos' Enabling Organisational Knowledge Creation

    NASA Astrophysics Data System (ADS)

    Matsudaira, Yoshito

    This paper examines knowledge creation in relation to improvements on the production line in the manufacturing department of Nissan Motor Company and aims to clarify embodied knowledge observed in the actions of organisational members who enable knowledge creation will be clarified. For that purpose, this study adopts an approach that adds a first, second, and third-person's viewpoint to the theory of knowledge creation. Embodied knowledge, observed in the actions of organisational members who enable knowledge creation, is the continued practice of 'ethos' (in Greek) founded in Nissan Production Way as an ethical basis. Ethos is knowledge (intangible) assets for knowledge creating companies. Substantiated analysis classifies ethos into three categories: the individual, team and organisation. This indicates the precise actions of the organisational members in each category during the knowledge creation process. This research will be successful in its role of showing the indispensability of ethos - the new concept of knowledge assets, which enables knowledge creation -for future knowledge-based management in the knowledge society.

  15. 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…

  16. 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

  17. 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.

  18. 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…

  19. Knowledge Utilization: Implications for Evaluation

    ERIC Educational Resources Information Center

    Blake, Sarah C.; Ottoson, Judith M.

    2009-01-01

    Knowledge utilization is a field crossing many sectors, from agriculture, since the 1920s, to health care today. Evaluators have made long-standing contributions to understanding knowledge utilization. Different models or ways to think about knowledge utilization have evolved to reflect different perspectives, contexts, and stages of the process,…

  20. 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…

  1. 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.

  2. Knowledge modeling for software design

    NASA Technical Reports Server (NTRS)

    Shaw, Mildred L. G.; Gaines, Brian R.

    1992-01-01

    This paper develops a modeling framework for systems engineering that encompasses systems modeling, task modeling, and knowledge modeling, and allows knowledge engineering and software engineering to be seen as part of a unified developmental process. This framework is used to evaluate what novel contributions the 'knowledge engineering' paradigm has made and how these impact software engineering.

  3. Nutrition Knowledge among Navy Recruits

    DTIC Science & Technology

    1987-03-27

    Nutrition Knovledge among Navy Recruits DTIC AELEOI7E flS SEP 2 8 1987 Terry L. Conway Linda K. Hervig D Ross R. Vickers, Jr. Health Psychology Department...5 Participants ............................................................. 5 Nutrition Knowledge Questionnaire...Students ............................... 6 Recruits’ Nutrition Knowledge .................................... ...... 8 Correlates of Nutrition Knowledge

  4. 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,…

  5. 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.

  6. 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…

  7. 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

  8. 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.

  9. Knowledge Systems and the Role of Knowledge Synthesis in Linkages for Knowledge Use.

    ERIC Educational Resources Information Center

    Holzner, Burkart; Salmon-Cox, Leslie

    The relationship between the social structure of knowledge systems and knowledge syntheses is explored in order to define the social and cultural requirements for effective linkage. Following an introduction (section 1), analysis is divided into 5 additional sections. Section 2 discusses tools for conceptualizing knowledge systems, including…

  10. 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…

  11. 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

  12. Transdisciplinary approaches enhance the production of translational knowledge.

    PubMed

    Ciesielski, Timothy H; Aldrich, Melinda C; Marsit, Carmen J; Hiatt, Robert A; Williams, Scott M

    2017-04-01

    The primary goal of translational research is to generate and apply knowledge that can improve human health. Although research conducted within the confines of a single discipline has helped us to achieve this goal in many settings, this unidisciplinary approach may not be optimal when disease causation is complex and health decisions are pressing. To address these issues, we suggest that transdisciplinary approaches can facilitate the progress of translational research, and we review publications that demonstrate what these approaches can look like. These examples serve to (1) demonstrate why transdisciplinary research is useful, and (2) stimulate a conversation about how it can be further promoted. While we note that open-minded communication is a prerequisite for germinating any transdisciplinary work and that epidemiologists can play a key role in promoting it, we do not propose a rigid protocol for conducting transdisciplinary research, as one really does not exist. These achievements were developed in settings where typical disciplinary and institutional barriers were surmountable, but they were not accomplished with a single predetermined plan. The benefits of cross-disciplinary communication are hard to predict a priori and a detailed research protocol or process may impede the realization of novel and important insights. Overall, these examples demonstrate that enhanced cross-disciplinary information exchange can serve as a starting point that helps researchers frame better questions, integrate more relevant evidence, and advance translational knowledge more effectively. Specifically, we discuss examples where transdisciplinary approaches are helping us to better explore, assess, and intervene to improve human health.

  13. Unity of knowledge in the advancement of nursing knowledge.

    PubMed

    Giuliano, Karen K; Tyer-Viola, Lynda; Lopez, Ruth Palan

    2005-07-01

    During the past 20 years, we have witnessed an explosion in nursing knowledge providing the discipline with diverse and multifaceted theoretical frameworks and paradigms. One knowledge theme that pervades the dialogue in the scholarly literature is that of multiple ways of knowing. With the acknowledgement that the fundamental nature of nursing knowledge is grounded in the understanding of human nature and its response to its environment, comes an imperative for a consilience of knowledge. The purpose of this article is to present such a unified worldview by articulating a vision of nursing knowledge, a meaning of unity of knowledge, and a challenge to the discipline to embrace inclusive rather than exclusive ways of knowing.

  14. Mobile robot knowledge base

    NASA Astrophysics Data System (ADS)

    Heath Pastore, Tracy; Barnes, Mitchell; Hallman, Rory

    2005-05-01

    Robot technology is developing at a rapid rate for both commercial and Department of Defense (DOD) applications. As a result, the task of managing both technology and experience information is growing. In the not-to-distant past, tracking development efforts of robot platforms, subsystems and components was not too difficult, expensive, or time consuming. To do the same today is a significant undertaking. The Mobile Robot Knowledge Base (MRKB) provides the robotics community with a web-accessible, centralized resource for sharing information, experience, and technology to more efficiently and effectively meet the needs of the robot system user. The resource includes searchable information on robot components, subsystems, mission payloads, platforms, and DOD robotics programs. In addition, the MRKB website provides a forum for technology and information transfer within the DOD robotics community and an interface for the Robotic Systems Pool (RSP). The RSP manages a collection of small teleoperated and semi-autonomous robotic platforms, available for loan to DOD and other qualified entities. The objective is to put robots in the hands of users and use the test data and fielding experience to improve robot systems.

  15. A knowledge-based imaging informatics approach to managing patients treated with proton beam therapy

    NASA Astrophysics Data System (ADS)

    Liu, B. J.; Huang, H. K.; Law, M.; Le, Anh; Documet, Jorge; Gertych, Arek

    2007-03-01

    Last year we presented work on an imaging informatics approach towards developing quantitative knowledge and tools based on standardized DICOM-RT objects for Image-Guided Radiation Therapy. In this paper, we have extended this methodology to perform knowledge-based medical imaging informatics research on specific clinical scenarios where brain tumor patients are treated with Proton Beam Therapy (PT). PT utilizes energized charged particles, protons, to deliver dose to the target region. Protons are energized to specific velocities which determine where they will deposit maximum energy within the body to destroy cancerous cells. Treatment Planning is similar in workflow to traditional Radiation Therapy methods such as Intensity-Modulated Radiation Therapy (IMRT) which utilizes a priori knowledge to drive the treatment plan in an inverse manner. In March 2006, two new RT Objects were drafted in a DICOM-RT Supplement 102 specifically for Ion Therapy which includes Proton Therapy. The standardization of DICOM-RT-ION objects and the development of a knowledge base as well as decision-support tools that can be add-on features to the ePR DICOM-RT system were researched. We have developed a methodology to perform knowledge-based medical imaging informatics research on specific clinical scenarios. This methodology can be used to extend to Proton Therapy and the development of future clinical decision-making scenarios during the course of the patient's treatment that utilize "inverse treatment planning". In this paper, we present the initial steps toward extending this methodology for PT and lay the foundation for development of future decision-support tools tailored to cancer patients treated with PT. By integrating decision-support knowledge and tools designed to assist in the decision-making process, a new and improved "knowledge-enhanced treatment planning" approach can be realized.

  16. 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.

  17. The folk conception of knowledge.

    PubMed

    Starmans, Christina; Friedman, Ori

    2012-09-01

    How do people decide which claims should be considered mere beliefs and which count as knowledge? Although little is known about how people attribute knowledge to others, philosophical debate about the nature of knowledge may provide a starting point. Traditionally, a belief that is both true and justified was thought to constitute knowledge. However, philosophers now agree that this account is inadequate, due largely to a class of counterexamples (termed "Gettier cases") in which a person's justified belief is true, but only due to luck. We report four experiments examining the effect of truth, justification, and "Gettiering" on people's knowledge attributions. These experiments show that: (1) people attribute knowledge to others only when their beliefs are both true and justified; (2) in contrast to contemporary philosophers, people also attribute knowledge to others in Gettier situations; and (3) knowledge is not attributed in one class of Gettier cases, but only because the agent's belief is based on "apparent" evidence. These findings suggest that the lay concept of knowledge is roughly consistent with the traditional account of knowledge as justified true belief, and also point to a major difference between the epistemic intuitions of laypeople and those of philosophers.

  18. The Use of a priori Information in ICA-Based Techniques for Real-Time fMRI: An Evaluation of Static/Dynamic and Spatial/Temporal Characteristics

    PubMed Central

    Soldati, Nicola; Calhoun, Vince D.; Bruzzone, Lorenzo; Jovicich, Jorge

    2013-01-01

    Real-time brain functional MRI (rt-fMRI) allows in vivo non-invasive monitoring of neural networks. The use of multivariate data-driven analysis methods such as independent component analysis (ICA) offers an attractive trade-off between data interpretability and information extraction, and can be used during both task-based and rest experiments. The purpose of this study was to assess the effectiveness of different ICA-based procedures to monitor in real-time a target IC defined from a functional localizer which also used ICA. Four novel methods were implemented to monitor ongoing brain activity in a sliding window approach. The methods differed in the ways in which a priori information, derived from ICA algorithms, was used to monitor a target independent component (IC). We implemented four different algorithms, all based on ICA. One Back-projection method used ICA to derive static spatial information from the functional localizer, off-line, which was then back-projected dynamically during the real-time acquisition. The other three methods used real-time ICA algorithms that dynamically exploited temporal, spatial, or spatial-temporal priors during the real-time acquisition. The methods were evaluated by simulating a rt-fMRI experiment that used real fMRI data. The performance of each method was characterized by the spatial and/or temporal correlation with the target IC component monitored, computation time, and intrinsic stochastic variability of the algorithms. In this study the Back-projection method, which could monitor more than one IC of interest, outperformed the other methods. These results are consistent with a functional task that gives stable target ICs over time. The dynamic adaptation possibilities offered by the other ICA methods proposed may offer better performance than the Back-projection in conditions where the functional activation shows higher spatial and/or temporal variability. PMID:23483841

  19. Representing geometrical knowledge.

    PubMed

    Anderson, J A

    1997-08-29

    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.

  20. 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

  1. 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.

  2. 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

  3. 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.

  4. The Knowledge of Teaching--Pedagogical Content Knowledge (PCK)

    ERIC Educational Resources Information Center

    Shing, Chien Lee; Saat, Rohaida Mohd.; Loke, Siow Heng

    2015-01-01

    Pedagogical content knowledge (PCK) was first introduced by Shulman in the 80s. It is defined as the integration or amalgamation of pedagogy and content which basically covers the "what" and "how" of teaching. PCK was considered as the missing paradigm in the study of teaching. This integration of knowledge was long searched by…

  5. 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…

  6. Knowledge Base Refinement by Monitoring Abstract Control Knowledge.

    ERIC Educational Resources Information Center

    Wilkins, D. C.; And Others

    Arguing that an explicit representation of the problem-solving method of an expert system shell as abstract control knowledge provides a powerful foundation for learning, this paper describes the abstract control knowledge of the Heracles expert system shell for heuristic classification problems, and describes how the Odysseus apprenticeship…

  7. 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.

  8. 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.

  9. 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)

  10. Documenting Dene Traditional Environmental Knowledge.

    ERIC Educational Resources Information Center

    Johnson, Martha

    1992-01-01

    In a participatory action research project, local Dene and non-Native researchers in Fort Good Hope and Colville Lake, Northwest Territories (Canada), are documenting Dene traditional environmental knowledge and resource management systems. Problems in integrating Dene knowledge and Western science stem from incompatible world views. (SV)

  11. Knowledge Management for Shared Awareness

    DTIC Science & Technology

    2013-05-01

    Toward Organizational Change.” Journal of Managerial Psychology , Vol. 19, No. 2, 2004. 93 10. GLOSSARY [15]15 Knowledge Management Glossary...from one another. Conceptual Knowledge: Abstract mental models of the world. Concepts, Perspectives, and Gestalts are meta-models for complex

  12. 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…

  13. 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…

  14. 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…

  15. 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…

  16. 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)

  17. Encoding Knowledge of Commonsense Psychology

    DTIC Science & Technology

    2005-01-01

    Encoding Knowledge of Commonsense Psychology Jerry R. Hobbs Andrew S. Gordon Information Sciences Institute Institute for Creative Technologies...time. Thirty of the representational areas, involving 635 concepts, were concerned with commonsense psychology ; among these are memory, knowledge...management, planning, and so on. This result by itself demonstrates the very great importance of commonsense psychology in the construction of intelligent

  18. Mobilising Research Knowledge in Education

    ERIC Educational Resources Information Center

    Levin, Ben

    2011-01-01

    The field of knowledge mobilisation (KM) addresses the multiple ways in which stronger connections can be made between research, policy and practice. This paper reviews the current situation around knowledge mobilisation in education. It addresses changing understandings of KM, considers some of the main issues in conducting empirical research in…

  19. 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…

  20. Research Commentary: Reconceptualizing Procedural Knowledge

    ERIC Educational Resources Information Center

    Star, Jon R.

    2005-01-01

    In this article, I argue for a renewed focus in mathematics education research on procedural knowledge. I make three main points: (1) The development of students' procedural knowledge has not received a great deal of attention in recent research; (2) one possible explanation for this deficiency is that current characterizations of conceptual and…

  1. Knowledge Translation in Global Health

    ERIC Educational Resources Information Center

    Pablos-Mendez, Ariel; Shademani, Ramesh

    2006-01-01

    We discuss the "know-do gap," present a definition of knowledge translation, and discuss its relative importance in bridging the know-do gap. Some of the underlying causes of the know-do gap are listed, along with ongoing efforts to address them. Knowledge translation is considered a cross-cutting, nonlinear process that involves not only recent…

  2. 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…

  3. Differentiating Knowledge, Differentiating (Occupational) Practice

    ERIC Educational Resources Information Center

    Hordern, Jim

    2016-01-01

    This paper extends arguments for differentiating knowledge into conceptualisations of occupational practice. It is argued that specialised forms of knowledge and practice require recognition and differentiation in ways that many contemporary approaches to practice theory deny. Drawing on Hager's interpretation of MacIntyre, it is suggested that…

  4. 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…

  5. 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…

  6. 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…

  7. Knowledge Management and Academic Libraries.

    ERIC Educational Resources Information Center

    Townley, Charles T.

    2001-01-01

    The emerging field of knowledge management offers academic libraries the opportunity to improve effectiveness, both for themselves and their parent institutions. This article summarizes knowledge management theory. Current applications in academic libraries and higher education are described. Similarities and difficulties between knowledge…

  8. 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…

  9. 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…

  10. Knowledge Signatures for Information Integration

    SciTech Connect

    Thomson, Judi; Cowell, Andrew J.; Paulson, Patrick R.; Butner, R. Scott; Whiting, Mark A.

    2003-10-25

    This paper introduces the notion of a knowledge signature: a concise, ontologically-driven representation of the semantic characteristics of data. Knowledge signatures provide programmatic access to data semantics while allowing comparisons to be made across different types of data such as text, images or video, enabling efficient, automated information integration. Through observation, which determines the degree of association between data and ontological concepts, and refinement, which uses the axioms and structure of the domain ontology to place the signature more accurately within the context of the domain, knowledge signatures can be created. A comparison of such signatures for two different pieces of data results in a measure of their semantic separation. This paper discusses the definition of knowledge signatures along with the design and prototype implementation of a knowledge signature generator.

  11. 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

  12. Knowledge discovery in astronomical data

    NASA Astrophysics Data System (ADS)

    Zhang, Yanxia; Zheng, Hongwen; Zhao, Yongheng

    2008-08-01

    With the construction and development of ground-based and space-based observatories, astronomical data amount to Terascale, even Petascale. How to extract knowledge from so huge data volume by automated methods is a big challenge for astronomers. Under this situation, many researchers have studied various approaches and developed different softwares to solve this issue. According to the special task of data mining, we need to select an appropriate technique suiting the requirement of data characteristics. Moreover all algorithms have their own pros and cons. We introduce the characteristics of astronomical data, present the taxonomy of knowledge discovery, and describe the functionalities of knowledge discovery in detail. Then the methods of knowledge discovery are touched upon. Finally the successful applications of data mining techniques in astronomy are summarized and reviewed. Facing data avalanche in astronomy, knowledge discovery in databases (KDD) shows its superiority.

  13. 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.

  14. The Emerging Phenomenon of Knowledge Management.

    ERIC Educational Resources Information Center

    Broadbent, Marianne

    1997-01-01

    Clarifies the meaning of knowledge management and gives examples of organizations that overtly practice it. Outlines four steps in knowledge management: (1) making knowledge visible; (2) building knowledge intensity; (3) building knowledge infrastructure; and (4) developing a knowledge culture. Discusses managing people as assets, librarians as…

  15. 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).…

  16. Relations among Conceptual Knowledge, Procedural Knowledge, and Procedural Flexibility in Two Samples Differing in Prior Knowledge

    ERIC Educational Resources Information Center

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

    2011-01-01

    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…

  17. 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…

  18. Knowledge mapping as a technique to support knowledge translation.

    PubMed Central

    Ebener, S.; Khan, A.; Shademani, R.; Compernolle, L.; Beltran, M.; Lansang, Ma; Lippman, M.

    2006-01-01

    This paper explores the possibility of integrating knowledge mapping into a conceptual framework that could serve as a tool for understanding the many complex processes, resources and people involved in a health system, and for identifying potential gaps within knowledge translation processes in order to address them. After defining knowledge mapping, this paper presents various examples of the application of this process in health, before looking at the steps that need to be taken to identify potential gaps, to determine to what extent these gaps affect the knowledge translation process and to establish their cause. This is followed by proposals for interventions aimed at strengthening the overall process. Finally, potential limitations on the application of this framework at the country level are addressed. PMID:16917651

  19. 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.

  20. 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.

  1. The BBN Knowledge Acquisition Project

    DTIC Science & Technology

    1988-09-01

    Optation 17 S . Large-Scale Revisions of Knowledge Bases 19 5.1 The Macro and Structure Editor 19 5.2 Developing Macro Editing Procedre 20 5.2.1 Macro...consistency checking foreach style of representaton easier and mote efficient, so that knowledge engineers and subject matter expert s can work together to... s ~Ta OIM-iJC ~Va Coetnin: MILECSXCT 8.1.3.1 Local Comumand Menus Anytime ICREM ais~laying a view of a particular kind of knowledge , the State Winsdow

  2. 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.

  3. 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.

  4. 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.

  5. The repressed and implicit knowledge.

    PubMed

    Talvitie, Vesa; Ihanus, Juhani

    2002-12-01

    The distinction between implicit (non-conscious) and explicit (conscious) knowledge made by cognitive scientists is applied to the psychoanalytic idea of repressed contents. The consequences of repression are suggested to have been caused by implicit representations. Repressed memories can also be treated in terms of explicit representations, which are prevented from becoming activated. Implicit knowledge cannot, however, be made conscious, and thus the idea of becoming conscious of the repressed desires and fears that have never been conscious is contradictory. This tension may be relieved by reconceptualising the idea of becoming conscious of the repressed. It is suggested that this could be seen as creating explicit knowledge about the effects of implicit representations. By applying the implicit/explicit knowledge distinction, psychoanalytic ideas concerning the repressed could be connected to current views in the domain of cognitive orientation.

  6. The globalization of nursing knowledge.

    PubMed

    Holt, J; Barrett, C; Clarke, D; Monks, R

    2000-08-01

    External influences placed upon nurses working in universities and in clinical practice require them to attract research funding, carry out research, generate new knowledge and publish in national and international journals. While there does not appear to be an agreed, unified body of nursing knowledge, critical and scholarly debate is essential to generate knowledge, but this is not an activity in which the majority of nurses can effectively participate. Nevertheless, nurses in the Western world are free to communicate their research, theories or ideas, essentially uncensored, to a vast invisible audience, and there is global dissemination through a vast array of literature and educational materials. This paper challenges nurses to examine the implications of globalization and suggests that the continuing debate on the nature of nursing knowledge should be updated to include consideration of both a change in philosophical stance and the far reaching effects of global dissemination of information.

  7. Discovering Knowledge Through Visual Analysis

    SciTech Connect

    Thomas, James J.; Cowley, Paula J.; Kuchar, Olga A.; Nowell, Lucy T.; Thomson, Judi R.; Wong, Pak C.

    2001-07-12

    This paper describes a vision for the near future in digital content analysis as it relates to the creation, verification, and presentation of knowledge. This paper focuses on how visualization enables humans to gain knowledge. Visualization, in this context, is not just the picture representing the data, but a two-way interaction between the human and their information resources for the purposes of knowledge discovery, verification, and the sharing of knowledge with others. We present PNNL-developed software to demonstrate how current technology can use visualization tools to analyze large diverse collections of text. This will be followed by lessons learned and the presentation of a core concept for a new human information discourse.

  8. Geographic Profiling: Knowledge Through Prediction

    DTIC Science & Technology

    2014-06-01

    CRUSH Crime Reduction Utilizing Statistical History CTM Communist terrorist movements DNA deoxyribonucleic acid FBI Federal Bureau of Investigation... PROFILING : KNOWLEDGE THROUGH PREDICTION by Tiffany D. Crosby June 2014 Thesis Advisor: William Fox Second Reader: Michael Freeman THIS PAGE...

  9. 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.

  10. Knowledge Centric Warfare: An Introduction

    DTIC Science & Technology

    2009-03-25

    around them while building on knowledge previously acquired. Immanuel Kant, Jean Piaget , and Lev Vygotsky are among important contributors to the...Development Piaget Cognition develops in four stages: sensorimotor, preoperational, concrete, and formal Private Multiple Intelligences Theory Gardner

  11. 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.

  12. Knowledge-Based Image Analysis.

    DTIC Science & Technology

    1981-04-01

    UNCLASSIF1 ED ETL-025s N IIp ETL-0258 AL Ai01319 S"Knowledge-based image analysis u George C. Stockman Barbara A. Lambird I David Lavine Laveen N. Kanal...extraction, verification, region classification, pattern recognition, image analysis . 3 20. A. CT (Continue on rever.. d. It necessary and Identify by...UNCLgSTFTF n In f SECURITY CLASSIFICATION OF THIS PAGE (When Date Entered) .L1 - I Table of Contents Knowledge Based Image Analysis I Preface

  13. Field Computation and Nonpropositional Knowledge.

    DTIC Science & Technology

    1987-09-01

    embodied practical knowledge. Biologial evidence shows that animals use this knowledge in a way very different from digital computation. This suggests...Biological evi- dence shows that animals use this kno ledge in a way very ifferent from digital corn I tation. This sug- gests that if these problems are to...Indeed, most of these recalcitrant tasks are performed skillfully by animals endowed with much simpler nervous systems than our own. How is this possible

  14. Progress in knowledge representation research

    NASA Technical Reports Server (NTRS)

    Lum, Henry

    1985-01-01

    Brief descriptions are given of research being carried out in the field of knowledge representation. Dynamic simulation and modelling of planning systems with real-time sensor inputs; development of domain-independent knowledge representation tools which can be used in the development of application-specific expert and planning systems; and development of a space-borne very high speed integrated circuit processor are among the projects discussed.

  15. A knowledge-based imaging informatics approach for managing proton beam therapy of cancer patients.

    PubMed

    Liu, Brent J

    2007-08-01

    The need for a unified patient-oriented information system to handle complex proton therapy (PT) imaging and informatics data during the course of patient treatment is becoming steadily apparent due to the ever increasing demands for better diagnostic treatment planning and more accurate information. Currently, this information is scattered throughout each of the different treatment and information systems in the oncology department. Furthermore, the lack of organization with standardized methods makes it difficult and time-consuming to navigate through the maze of data, resulting in challenges during patient treatment planning. We present a methodology to develop this electronic patient record (ePR) system based on DICOM standards and perform knowledge-based medical imaging informatics research on specific clinical scenarios where patients are treated with PT. Treatment planning is similar in workflow to traditional radiation therapy (RT) methods such as intensity-modulated radiation therapy (IMRT), which utilizes a priori knowledge to drive the treatment plan in an inverse manner. In March 2006, two new RT objects were drafted in a DICOM-RT Supplement 102 specifically for ion therapy, which includes PT. The standardization of DICOM-RT-ION objects and the development of a knowledge base as well as decision-support tools that can be add-on features to the ePR DICOM-RT system were researched. This methodology can be used to extend to PT and the development of future clinical decision-making scenarios during the course of the patient's treatment that utilize "inverse treatment planning." We present the initial steps of this imaging and informatics methodology for PT and lay the foundation for development of future decision-support tools tailored to cancer patients treated with PT. By integrating decision-support knowledge and tools designed to assist in the decision-making process, a new and improved "knowledge-enhanced treatment planning" approach can be realized.

  16. Chronic lymphocytic leukaemias and non-Hodgkin's lymphomas by histological type in farming-animal breeding workers: a population case-control study based on a priori exposure matrices.

    PubMed Central

    Nanni, O; Amadori, D; Lugaresi, C; Falcini, F; Scarpi, E; Saragoni, A; Buiatti, E

    1996-01-01

    OBJECTIVES: A population based case-control study was conducted in a highly agricultural area in Italy to investigate the association between chronic lymphocytic leukaemias (CLLs) and non-Hodgkin's lymphomas (NHLs), and subtypes, and exposure to pesticides in farming-animal breeding workers. METHODS: 187 cases of CLLs and NHLs and 977 population controls were interviewed on medical, residential, family, and occupational history. Detailed information was collected about cultivated crops and animals bred from subjects who worked in farming and animal breeding. Information on crop diseases and pesticides used (and their quantity and duration) was also obtained. A priori job-exposure matrices were applied when a crop disease was reported, estimating the most probable pesticide and, when possible, an estimate of the cumulative dose. Odds ratios (ORs) were calculated by unconditional logistic analysis with adjustment for relevant confounders in farmers who bred animals and in farmers alone, for the main crops, types of animals, and pesticides categories. First recall and then the matrices were used for defining exposure, as it affected CLLs and NHLs and then separately on CLLs and low grade NHLs. Finally, the dose-response was investigated for those pesticides which had shown some association. RESULTS: No variable under study was associated with work in farming alone. In farming and animal breeding, no crop or animal showed an association with CLLs and NHLs when adjusted by exposure during childhood to farming and animal breeding (an indicator of life in a farming and animal breeding environment before the age of 13, which behaved as an independent risk variable). A non-significant association was found with stannates, arsenates, phosphates, and dichloro-diphenyl-trichloroethane (DDT) based on recall, and for stannates, arsenates, and DDT after the application of the matrices. When CLLs together with low grade NHLs were considered, the association with insecticides in

  17. Extracting information from previous full-dose CT scan for knowledge-based Bayesian reconstruction of current low-dose CT images

    PubMed Central

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

    2015-01-01

    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. PMID:26561284

  18. 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

  19. 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

  20. 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…

  1. Tactic Knowledge, Social Insight, and Personality.

    ERIC Educational Resources Information Center

    Aul, Lynn E., Sr.; Johnson, John A.

    Wagner and Sternberg (1985) defined tacit knowledge as knowledge that is usually not taught. They suggest that people who are adept at picking up and accumulating tacit knowledge tend to advance most rapidly in an organization. A study was conducted to determine whether tacit knowledge, as measured by the Tacit Knowledge Questionnaire (TKQ), is…

  2. Recognizing new medical knowledge computationally.

    PubMed Central

    Nelson, S. J.; Cole, W. G.; Tuttle, M. S.; Olson, N. E.; Sherertz, D. D.

    1993-01-01

    Can new medical knowledge be recognized computationally? We know knowledge is changing, and our knowledge-based systems will need to accommodate that change in knowledge on a regular basis if they are to stay successful. Computational recognition of these changes seems desirable. It is unlikely that low level objects in the computational universe, bits and characters, will change much over time, higher level objects of language, where meaning begins to emerge, may show change. An analysis of ten arbitrarily selected paragraphs from the Medical Knowledge Self-Assessment Program of the American College of Physicians was used as a test bed for nominal phrase recognition. While there were words not known to Meta-1.2, only 8 of the 32 concepts new to the primary author were pointed to by new words. Use of a barrier word method was successful in identifying 23 of the 32 new concepts. Use of co-occurrence (in sentences) of putative nominal phrases may reduce the amount of human effort involved in recognizing the emergence of new relationships. PMID:8130505

  3. 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

  4. Knowledge Management in Small Firms

    NASA Astrophysics Data System (ADS)

    Panyasorn, Jessada; Panteli, Niki; Powell, Philip

    This paper explores knowledge management in small and medium-sized firms (SMEs). It investigates the use of Lotus Notes in SMEs of a developing country as a counterpoint to the large firm, developed country emphasis of existing research. It develops taxonomy of Lotus Notes use within the context of different knowledge management processes; notably communicating, co-ordinating and collaborating. The study employs an interpretive approach using three case studies. The key findings suggest that publishing, searching, sharing and retrieving are the user modes for enabling sharing and storing information. Evidence of knowledge creation is found at the departmental level but not at the organizational level. Further, small firms may explore more groupware potential than large organizations and this reflects their different context. Finally, implications for further research are identified.

  5. 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.

  6. 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

  7. Knowledge-based pitch detection

    NASA Astrophysics Data System (ADS)

    Dove, W. P.

    1986-06-01

    Many problems in signal processing involve a mixture of numerical and symbolic knowledge. Examples of problems of this sort include the recognition of speech and the analysis of images. This thesis focuses on the problem of employing a mixture of symbolic and numerical knowledge within a single system, through the development of a system directed at a modified pitch detection problem. For this thesis, the conventional pitch detection problem was modified by providing a phonetic transcript and sex/age information as input to the system, in addition to the acoustic waveform. The Pitch Detector's Assistant (PDA) system that was developed is an interactive facility for evaluating ways of approaching this problem. The PDA system allows the user to interrupt processing at any point, change either input data, derived data, or problem knowledge and continue execution.

  8. Scientific progress: Knowledge versus understanding.

    PubMed

    Dellsén, Finnur

    2016-04-01

    What is scientific progress? On Alexander Bird's epistemic account of scientific progress, an episode in science is progressive precisely when there is more scientific knowledge at the end of the episode than at the beginning. Using Bird's epistemic account as a foil, this paper develops an alternative understanding-based account on which an episode in science is progressive precisely when scientists grasp how to correctly explain or predict more aspects of the world at the end of the episode than at the beginning. This account is shown to be superior to the epistemic account by examining cases in which knowledge and understanding come apart. In these cases, it is argued that scientific progress matches increases in scientific understanding rather than accumulations of knowledge. In addition, considerations having to do with minimalist idealizations, pragmatic virtues, and epistemic value all favor this understanding-based account over its epistemic counterpart.

  9. Knowledge-Directed Theory Revision

    NASA Astrophysics Data System (ADS)

    Ali, Kamal; Leung, Kevin; Konik, Tolga; Choi, Dongkyu; Shapiro, Dan

    Using domain knowledge to speed up learning is widely accepted but theory revision of such knowledge continues to use general syntactic operators. Using such operators for theory revision of teleoreactive logic programs is especially expensive in which proof of a top-level goal involves playing a game. In such contexts, one should have the option to complement general theory revision with domain-specific knowledge. Using American football as an example, we use Icarus' multi-agent teleoreactive logic programming ability to encode a coach agent whose concepts correspond to faults recognized in execution of the play and whose skills correspond to making repairs in the goals of the player agents. Our results show effective learning using as few as twenty examples. We also show that structural changes made by such revision can produce performance gains that cannot be matched by doing only numeric optimization.

  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. Labouring in the Knowledge Fields: Researching Knowledge in Globalising Workspaces

    ERIC Educational Resources Information Center

    Farrell, Lesley

    2006-01-01

    While research on globalisation can hardly be said to have ignored the phenomenon of the global corporation or the globally distributed supply chain, the focus has overwhelmingly been on "globalization from above"--on corporate structures and on the movement of global capital in global "knowledge economies". My focus in this…

  12. 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,…

  13. Common Sense about Uncommon Knowledge: The Knowledge Bases for Diversity.

    ERIC Educational Resources Information Center

    Smith, G. Pritchy

    This book explains knowledge bases for teaching diverse student populations. An introduction displays one first-year teacher's experiences with diverse students in a high school classroom in San Angelo, Texas in 1961. The 15 chapters are: (1) "Toward Defining Culturally Responsible and Responsive Teacher Education"; (2) "Knowledge…

  14. Knowledge for Knowledge Translation: The Role of the Cochrane Collaboration

    ERIC Educational Resources Information Center

    Grimshaw, Jeremy M.; Santesso, Nancy; Cumpston, Miranda; Mayhew, Alain; McGowan, Jessie

    2006-01-01

    Knowledge-translation (KT) activities, including continuing education, should be informed by the totality of available research evidence. Systematic reviews are a generic methodology used to synthesize evidence from a broad range of research methods addressing different questions. Over the past decade, there has been a dramatic increase in the…

  15. 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.…

  16. 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,…

  17. 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

  18. 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

  19. 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.

  20. 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.

  1. Children's knowledge of court proceedings.

    PubMed

    Flin, R H; Stevenson, Y; Davies, G M

    1989-08-01

    This paper describes a study of children's legal vocabulary and their knowledge of criminal court procedures. Subjects (aged six, eight, 10 years and adults) were also asked about their feelings regarding a hypothetical court appearance as a witness. All subjects, children and adults, performed best on a vocabulary recognition section, with descriptions and concepts proving more difficult. Observed developmental trends in both legal vocabulary and conceptual appreciation of criminal law replicates previous work from Australia and America and supports the contention that children younger than 10 years are not well informed about the legal system. Results indicated clear deficits in knowledge as well as frequent misconceptions regarding legal personnel and procedures.

  2. The analyst's knowledge and authority.

    PubMed

    Mitchell, S A

    1998-01-01

    Current controversies about the nature of the knowledge analysts offer their patients and the kinds of authority they can legitimately claim are of central importance in the evolution of psychoanalytic ideas. These controversies reflect deep differences regarding basic assumptions about both epistemology and the nature of mind. An approach to these issues is offered which, it is argued, is closer to broad cultural shifts in thinking about knowledge in general than is the traditional psychoanalytic stance. Implications for theory and clinical practice are explored.

  3. [Postmodernism and nursing knowledge development].

    PubMed

    Yeh, Lily; Chen, Ching-Huey

    2008-08-01

    Postmodernism is a philosophical and social movement which stresses that ideas are temporary, research data should be considered only in context, reality is transcendent, grand theories are invalid, problems are deconstructed, and findings should have practical value. Manifestations of the postmodern paradigm are reflected in the epistemological shifts of nursing science and knowledge development in the professional community of nurses in Western countries. This article explores the context within which this movement emerged, delineates how it has deconstructed "language" and "subject" to frame a new paradigm and outlines related implications on nursing knowledge development. Both challenges and opportunities face the nursing profession as it evolves into a postmodern paradigm.

  4. 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.

  5. Knowledge Management Technology: Making Good Choices.

    ERIC Educational Resources Information Center

    Chapman, Linda D. R.; Coukos, Eleni D.; Pisapia, John

    2001-01-01

    Discusses the reliability of technology products that support knowledge management, particularly in higher education. Presents a conceptual framework for knowledge management technology, evaluates available software products, concludes that most products perform poorly, and offers recommendations for knowledge management strategies. (LRW)

  6. 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.

  7. Building Preservation Knowledge in Brazil.

    ERIC Educational Resources Information Center

    Beck, Ingrid

    The project to translate into Portuguese and disseminate preservation knowledge was part of a broader partnership between the Council on Library and Information Resources, which incorporates the former Commission on Preservation and Access, and a consortium of Brazilian archival, library, and museum institutions. The partnership was intended to…

  8. Generational Differences in Knowledge Markets

    DTIC Science & Technology

    2010-03-01

    by retirement—current projections for retiring workers are potentially 3 alarming. According to a report by the United States Government...Morrison, 2006). Yet, despite this dearth of skilled labor, employers are reported to be even more concerned about losing organizational knowledge...concluded, the United States Government Accountability Office (GAO) (2002), published a report identifying several failed missions that simply repeated past

  9. 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…

  10. 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.

  11. Linking Organizational Knowledge and Learning.

    ERIC Educational Resources Information Center

    Collis, Betty

    Universities and corporate training centers are under pressure to offer increasingly flexible, as well as individually relevant, learning. Instead of trying to develop a stream of Web-based courses to run parallel to "business as usual" courses, a department can focus on gradually building a knowledge base in which key resources from…

  12. 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…

  13. 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.

  14. 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.

  15. 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,…

  16. Food safety knowledge retention study.

    PubMed

    Hislop, Nyall; Shaw, Keara

    2009-02-01

    Foodborne illness in Canada is an ongoing burden for public health and the economy. Many foodborne illnesses result from improper food handling practices. If food handlers had a greater knowledge of what causes foodborne illness, perhaps these illnesses would have less of an impact on society. This study gave researchers the opportunity to examine the current food safety knowledge of food handlers by using a standardized questionnaire. Questionnaires were distributed by environmental health officers to food handlers working in the food service industry during on-site inspections, and responses were used to evaluate immediate knowledge of key food safety issues. Both certified and noncertified food handlers were evaluated. Information also was collected on the number of years since food safety certification was achieved and the number of years experience noncertified food handlers had in the food service industry. Results indicated that certified food handlers had a greater knowledge of food safety information than did noncertified food handlers. The highest failure rates were observed among noncertified food handlers with more than 10 years of experience and less than 1 year of experience. The results support the need for mandatory food safety certification for workers in the food service industry and for recertification at least every 10 years. Although the study was not sufficiently rigorous to evaluate existing food safety courses, data collected provided valuable insight into what issues should be emphasized in existing food safety courses and which should be targeted by future food safety initiatives.

  17. 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…

  18. 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…

  19. 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.

  20. 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…

  1. Conceptual Knowledge of Decimal Arithmetic

    ERIC Educational Resources Information Center

    Lortie-Forgues, Hugues; Siegler, Robert S.

    2016-01-01

    In two studies (N's = 55 and 54), we examined a basic form of conceptual understanding of rational number arithmetic, the direction of effect of decimal arithmetic operations, at a level of detail useful for informing instruction. Middle school students were presented tasks examining knowledge of the direction of effects (e.g., "True or…

  2. Conceptual Knowledge of Fraction Arithmetic

    ERIC Educational Resources Information Center

    Siegler, Robert S.; Lortie-Forgues, Hugues

    2015-01-01

    Understanding an arithmetic operation implies, at minimum, knowing the direction of effects that the operation produces. However, many children and adults, even those who execute arithmetic procedures correctly, may lack this knowledge on some operations and types of numbers. To test this hypothesis, we presented preservice teachers (Study 1),…

  3. 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,…

  4. Volume visualization and knowledge integration

    NASA Technical Reports Server (NTRS)

    Cochrane, Thomas

    1991-01-01

    A discussion is presented of how advanced computer graphics visualization techniques and integration of knowledge throughout the concept to production cycle are providing tools to revolutionize the design process. Relevant projects that are used as examples are at USAF, Ford, Digital, EPA, and DOE.

  5. 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…

  6. 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.

  7. Tribal Colleges and Traditional Knowledge.

    ERIC Educational Resources Information Center

    Deloria, Vine, Jr.

    1993-01-01

    Compares the recent advances of Western science to ancient views of Native American tribes. Indicates that "advances" such as chaos theory and zoopharmacognosy are long-standing elements of Native American traditional knowledge. Suggests that tribal colleges must assert themselves and become the primary symbols of authority on tribal culture. (MAB)

  8. Knowledge, Democracy, and the Internet

    ERIC Educational Resources Information Center

    Mößner, Nicola; Kitcher, Philip

    2017-01-01

    The internet has considerably changed epistemic practices in science as well as in everyday life. Apparently, this technology allows more and more people to get access to a huge amount of information. Some people even claim that the internet leads to a "democratization of knowledge." In the following text, we will analyze this statement.…

  9. Knowledge Development Generic Framework Concept

    DTIC Science & Technology

    2008-12-18

    interfacing (“people-to-people”) • Push immediate and higher precedence messages to the appropriate users • Continuously interact with KB users in order...partially be made explicit, fully revealed or expressed without vagueness. Knowledge can be applied consciously as well as subliminally . It enables the

  10. 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…

  11. 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…

  12. 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,…

  13. Knowledge Translation in Developing Countries

    ERIC Educational Resources Information Center

    Santesso, Nancy; Tugwell, Peter

    2006-01-01

    There is increasing evidence that the application of knowledge in developing countries is failing. One reason is the woeful shortage of health workers, but as this is redressed, it is also crucial that we have an evidence base of what works to minimize the "know-do gap." The World Health Organization and other international organizations are…

  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. 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…

  16. 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…

  17. Knowledge Foundations of Effective Collaboration

    DTIC Science & Technology

    2004-09-01

    Allocation of team roles (Noble, 2003a and 2003b). Roles are best assigned to the people or computer agents that know how to carry out these roles. By...computers to team roles . 7. References Argote, L. and P. Ingram. 2000, Knowledge Transfer: A Basis for Competitive Advantage in Firms

  18. 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…

  19. 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…

  20. 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

  1. Knowledge-Based Search Tactics.

    ERIC Educational Resources Information Center

    Shute, Steven J.; Smith, Philip J.

    1993-01-01

    Describes an empirical study that was conducted to examine the performance of expert search intermediaries from Chemical Abstracts Service. Highlights include subject-independent and subject-dependent expertise; a model of the use of subject-specific knowledge; and implications for computerized intermediary systems and for training human…

  2. 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.

  3. 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)…

  4. 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'…

  5. Nutrition knowledge is associated with higher adherence to Mediterranean diet and lower prevalence of obesity. Results from the Moli-sani study.

    PubMed

    Bonaccio, Marialaura; Di Castelnuovo, Augusto; Costanzo, Simona; De Lucia, Francesca; Olivieri, Marco; Donati, Maria Benedetta; de Gaetano, Giovanni; Iacoviello, Licia; Bonanni, Americo

    2013-09-01

    A Mediterranean dietary pattern has been associated with reducing the risk of cardiovascular and chronic disease. The aim of this study was to evaluate the role of nutrition knowledge in determining possible differences among dietary patterns in a general population from a Mediterranean region. We conducted a cross-sectional study on a subsample of 744 subjects enrolled in the population-based cohort of the Moli-sani Project. A 92-item questionnaire on nutrition knowledge was elaborated, validated and administered. Dietary information were obtained from the EPIC food frequency questionnaire and adherence to a Mediterranean dietary pattern was evaluated both by the a priori Greek Mediterranean diet score and the a posteriori approach obtained by principal component analysis. Nutrition knowledge was significantly associated with higher adherence to a Mediterranean dietary pattern. The odds of having higher adherence to a Mediterranean dietary pattern increased with greater nutrition knowledge. The odds ratio of being obese significantly decreased with increasing nutrition knowledge levels. The results showed that nutrition knowledge was significantly associated with higher adherence to a Mediterranean dietary pattern and with lower prevalence of obesity in a Southern Italian region with Mediterranean diet tradition independently from education and other socioeconomic factors.

  6. 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

  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. False Beliefs in Unreliable Knowledge Networks

    NASA Astrophysics Data System (ADS)

    Ioannidis, Evangelos; Varsakelis, Nikos; Antoniou, Ioannis

    2017-03-01

    The aims of this work are: (1) to extend knowledge dynamics analysis in order to assess the influence of false beliefs and unreliable communication channels, (2) to investigate the impact of selection rule-policy for knowledge acquisition, (3) to investigate the impact of targeted link attacks ("breaks" or "infections") of certain "healthy" communication channels. We examine the knowledge dynamics analytically, as well as by simulations on both artificial and real organizational knowledge networks. The main findings are: (1) False beliefs have no significant influence on knowledge dynamics, while unreliable communication channels result in non-monotonic knowledge updates ("wild" knowledge fluctuations may appear) and in significant elongation of knowledge attainment. Moreover, false beliefs may emerge during knowledge evolution, due to the presence of unreliable communication channels, even if they were not present initially, (2) Changing the selection rule-policy, by raising the awareness of agents to avoid the selection of unreliable communication channels, results in monotonic knowledge upgrade and in faster knowledge attainment, (3) "Infecting" links is more harmful than "breaking" links, due to "wild" knowledge fluctuations and due to the elongation of knowledge attainment. Moreover, attacking even a "small" percentage of links (≤5%) with high knowledge transfer, may result in dramatic elongation of knowledge attainment (over 100%), as well as in delays of the onset of knowledge attainment. Hence, links of high knowledge transfer should be protected, because in Information Warfare and Disinformation, these links are the "best targets".

  9. Knowledge Base Refinement by Monitoring Abstract Control Knowledge. Revision 1.

    DTIC Science & Technology

    1987-08-01

    Wilkins, NV. J. Clancey, and B. G. Buchanan 0 S .. Department of Computer Science Stanford University Stanford, CA 94305 e EOT -N...APPROVED FOR PUBLIC RELEASE. 2b DECLASSIFICATIONDOWNGRADING SCHEDULE DISTRIBUTION UNLIMITED 4 PERFORMING ORGANIZATION REPORT NuMBER( S ) S MONITORING...ORGANIZATION REPORT NuMBER( S ) ONR TECHNICAL REPORT # 6a NAME OF PERFORMING ORGANIZATION 6b OFFICE SYMBOL 7a NAME OF MONITORING ORGANIZATION STANFORD KNOWLEDGE

  10. Utilizing Data and Knowledge Mining for Probabilistic Knowledge Bases

    DTIC Science & Technology

    1996-12-01

    everything. My dear wife Tamara deserves an award simply for tolerating me these last 18 months. This is the second time she has been with me during a degree...and the flexibility of its knowledge representation scheme is an inverse one. In order to implement a realistic, real-world application, both of these ...information from some text- based source, such as an on-line encyclopedia or an Internet web page. Most often, these systems are highly focused and specialize

  11. Pedagogical Content Knowledge: Teachers' Ways of Knowing.

    ERIC Educational Resources Information Center

    Gudmundsdottir, Sigrun

    In this paper, which draws on a dissertation in process, one of the issues central to the role of content knowledge for teaching, "pedagogical content knowledge," is examined. This body of knowledge is an amalgam of pedagogy and content and makes teachers different from scholars in a field. General pedagogical knowledge is the teacher's knowledge…

  12. 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…

  13. Teachers' Beliefs about Mathematical Horizon Content Knowledge

    ERIC Educational Resources Information Center

    Mosvold, Reidar; Fauskanger, Janne

    2014-01-01

    In this article, we present and discuss an example of how teachers' discussions of mathematical knowledge for teaching (MKT) items elicited their beliefs about the knowledge needed to teach mathematics. One category of MKT is "horizon content knowledge," and this can be described as mathematical knowledge not directly deployed in…

  14. 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.…

  15. 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…

  16. 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…

  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. Tacit Knowledge. Trends and Issues Alert.

    ERIC Educational Resources Information Center

    Imel, Susan

    Tacit knowledge, the knowledge that workers possess but do not articulate, is associated with terms such as "skill,""know-how,""working knowledge," and "expertise" that are used to describe knowledge about and ability to perform work. Learning that takes place through apprenticeships draws heavily on tacit…

  19. Public Environmental Knowledge: A Statewide Survey.

    ERIC Educational Resources Information Center

    Arcury, Thomas A.; Johnson, Timothy P.

    1987-01-01

    Examines the general level of public environmental knowledge using a statewide survey of Kentucky residents. Analyzes the sociodemographic characteristics correlated with such knowledge. Results indicated that public environmental knowledge remains low, and the major correlates of knowledge are education, income, and gender. (TW)

  20. 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…

  1. 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…

  2. 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.

  3. The acquisition of syntactic knowledge

    SciTech Connect

    Berwick, R.

    1985-01-01

    This work in computational linguistics describes a break-through in the design of expert systems because it suggests how extensive knowledge might be acquired automatically, without outside intervention. Computationally, the author looks at the developmental problem of the interaction between innate genetic endowment and environmental input, using computational methods to uncover the constraints on the acquisition of syntactic knowledge. Learning and syntax problems are also explored: how lexical categories, phonological rule systems, and phrase structure rules are learned; the role of semantic-syntactic interaction in language acquisition; how a ''parameter setting'' model may be formalized as a learning procedure; how multiple constraints interact to aid acquisition; how transformational-type rules may be learned; and the role of lexical ambiguity in language acquisition.

  4. Concussion knowledge among rehabilitation staff

    PubMed Central

    Kolessar, Michael; Callender, Librada; Bennett, Monica

    2017-01-01

    A concussion knowledge survey was completed by 561 rehabilitation professionals across a wide range of disciplines in a nationwide rehabilitation hospital system. Item questions were structured to reflect key areas of concussion knowledge targeted in a prior consensus statement. The vast majority of staff provided responses consistent with the current concussion literature regarding concussion diagnosis and symptom presentation immediately after concussion. Greater variability was seen for items assessing beliefs about the typical recovery from concussion, best care practices, and long-term effects from concussion. Factors such as profession, years of experience, and work with concussion or traumatic brain injury were not consistently related to better performance on the survey. Prior concussion-focused education/training was related to better survey performance. This survey highlights the pressing need to educate frontline health providers regarding concussion recovery and best care practices. PMID:28127126

  5. [Women's knowledge of folic acid].

    PubMed

    Salgues, Mathilde; Damase-Michel, Christine; Montastruc, Jean-Louis; Lacroix, Isabelle

    2016-10-27

    Many trials have shown that folic acid supplementation before and during pregnancy reduces the risk of neural tube defects in general population. We investigated the knowledge of folic acid in women of child-bearing age. Women of child-bearing age were interviewed by 20 pharmacists living in Haute-Garonne between January and February 2014. One hundred ninety-six women were included in the present study. Out of them, 36% of women never heard of folic acid and 82% were not aware of its benefits. Knowledge was higher in older women, women in a couple and women with higher educational level (P<10(-2)). This study underlines that women are not enough aware of benefits of folic acid during pregnancy. Moreover, previous studies have shown that French women have low use of folic acid during peri-conceptional period. Information of general population will be required for a better prevention of folic acid-preventable NTDs.

  6. Automated Knowledge Discovery from Simulators

    NASA Technical Reports Server (NTRS)

    Burl, Michael C.; DeCoste, D.; Enke, B. L.; Mazzoni, D.; Merline, W. J.; Scharenbroich, L.

    2006-01-01

    In this paper, we explore one aspect of knowledge discovery from simulators, the landscape characterization problem, where the aim is to identify regions in the input/ parameter/model space that lead to a particular output behavior. Large-scale numerical simulators are in widespread use by scientists and engineers across a range of government agencies, academia, and industry; in many cases, simulators provide the only means to examine processes that are infeasible or impossible to study otherwise. However, the cost of simulation studies can be quite high, both in terms of the time and computational resources required to conduct the trials and the manpower needed to sift through the resulting output. Thus, there is strong motivation to develop automated methods that enable more efficient knowledge extraction.

  7. Knowledge, Belief, and Science Education

    NASA Astrophysics Data System (ADS)

    Ferreira, Tiago Alfredo S.; El-Hani, Charbel N.; da Silva-Filho, Waldomiro José

    2016-10-01

    This article intends to show that the defense of "understanding" as one of the major goals of science education can be grounded on an anti-reductionist perspective on testimony as a source of knowledge. To do so, we critically revisit the discussion between Harvey Siegel and Alvin Goldman about the goals of science education, especially where it involves arguments based on the epistemology of testimony. Subsequently, we come back to a discussion between Charbel N. El-Hani and Eduardo Mortimer, on the one hand, and Michael Hoffmann, on the other, striving to strengthen the claim that rather than students' belief change, understanding should have epistemic priority as a goal of science education. Based on these two lines of discussion, we conclude that the reliance on testimony as a source of knowledge is necessary to the development of a more large and comprehensive scientific understanding by science students.

  8. 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.

  9. 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

  10. Climate change 'understanding' and knowledge

    NASA Astrophysics Data System (ADS)

    Hamilton, L.

    2011-12-01

    Recent surveys find that many people report having "a great deal" of understanding about climate change. Self-assessed understanding does not predict opinions, however, because those with highest "understanding" tend also to be most polarized. These findings raise questions about the relationship between "understanding" and objectively-measured knowledge. In summer 2011 we included three new questions testing climate-change knowledge on a statewide survey. The multiple-choice questions address basic facts that are widely accepted by contrarian as well as mainstream scientists. They ask about trends in Arctic sea ice, in CO2 concentrations, and the meaning of "greenhouse effect." The questions say nothing about impacts, attribution or mitigation. Each has a clear and well-publicized answer that does not presume acceptance of anthropogenic change. About 30% of respondents knew all three answers, and 36% got two out of three. 34% got zero or one right. Notably, these included 31% of those who claimed to have "a great deal" of understanding. Unlike self-assessed understanding, knowledge scores do predict opinions. People who knew more were significantly more likely to agree that climate change is happening now, caused mainly by human activities. This positive relationship remains significant controlling for gender, age, education, partisanship and "understanding." It does not exhibit the interaction effects with partisanship that characterize self-assessed understanding. Following the successful statewide test, the same items were added to a nationwide survey currently underway. Analyses replicated across both surveys cast a new light on the problematic connections between "understanding," knowledge and opinions about climate science.

  11. Informed consent: information or knowledge?

    PubMed

    Berger, Ken

    2003-01-01

    A fiduciary relationship should be nurtured between patient and physician. This requires effective communication throughout all aspects of care - especially pertaining to treatment decisions. In the context of illness as experienced by the patient a unique set of circumstances is presented. However, communication in an illness context is fraught with problems. The patient is vulnerable and the situation may be overwhelming. Voluminous amounts of information are available to patients from a host of health care providers, family members, support groups, advocacy centers, books, journals, and the internet. Often conflicting and confusion, frequently complex, this information may be of greater burden than benefit. Some information is of high validity and reliability while other information is of dubious reliability. The emotional freight of bad news may further inhibit understanding. An overload of information may pose an obstacle in decision-making. To facilitate the transformation of information into knowledge, the health care provider must act on some occasions as a filter, on other occasions as a conduit, and on still other occasions simply as a reservoir. The evolution of patient rights to receive or refuse treatment, the right to know or not to know calls for a change in processing of overwhelming information in our modem era. In this paper we will discuss the difference between information and knowledge. How can health care providers ensure they have given their patients all necessary and sufficient information to make an autonomous decision? How can they facilitate the transformation of information into knowledge? The effect of knowledge to consent allows a more focused, relevant and modern approach to choice in health care.

  12. Persistent Data/Knowledge Base

    DTIC Science & Technology

    1991-06-01

    Processing in PDKB 47 8 Future Research Topics 51 9 Conclusion 59 A cknowledgnents iii Acknowledgments This research was supported by the Rome Air...queries are processed and rules are inferenced in PDKB. Chapter 8 discusses future research topics and directions for PDKB. They include reasoning...existing knowledge, and forward chaining will be triggered., A detailed query and inferencing processing design is beyond the scope of this research

  13. 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.

  14. 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

  15. Knowledge utilization among experienced staff nurses.

    PubMed

    Asselin, M E

    2001-01-01

    The purpose of this descriptive exploratory study was to describe the processes staff nurses use to select and transfer new knowledge to practice. Eleven experienced staff nurses shared 29 examples in which gaining new knowledge resulted in changes in thinking or acting in a clinical situation. Findings indicated that knowledge utilization originated with the nurse who was active in selecting and using new knowledge. Nurses used multiple knowledge utilization processes primarily involving factual knowledge and instrumental utilization. Often, the decision to move knowledge to practice was based on comparison by similarity. There were no variations in utilization processes as nurses floated across units. Sources of new knowledge were primarily informal and unit based. Implications for staff development focus on developing unit-based resources and resource personnel, using innovative ways to introduce new knowledge on the unit, and providing time in formal classes for exchange of ideas on using new knowledge in practice.

  16. Ethical perspectives on knowledge translation in rehabilitation.

    PubMed

    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.

  17. 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.

  18. Knowledge-based media adaptation

    NASA Astrophysics Data System (ADS)

    Leopold, Klaus; Jannach, Dietmar; Hellwagner, Hermann

    2004-10-01

    This paper introduces the principal approach and describes the basic architecture and current implementation of the knowledge-based multimedia adaptation framework we are currently developing. The framework can be used in Universal Multimedia Access scenarios, where multimedia content has to be adapted to specific usage environment parameters (network and client device capabilities, user preferences). Using knowledge-based techniques (state-space planning), the framework automatically computes an adaptation plan, i.e., a sequence of media conversion operations, to transform the multimedia resources to meet the client's requirements or constraints. The system takes as input standards-compliant descriptions of the content (using MPEG-7 metadata) and of the target usage environment (using MPEG-21 Digital Item Adaptation metadata) to derive start and goal states for the planning process, respectively. Furthermore, declarative descriptions of the conversion operations (such as available via software library functions) enable existing adaptation algorithms to be invoked without requiring programming effort. A running example in the paper illustrates the descriptors and techniques employed by the knowledge-based media adaptation system.

  19. Building dynamical models from data and prior knowledge: The case of the first period-doubling bifurcation

    NASA Astrophysics Data System (ADS)

    Aguirre, Luis Antonio; Furtado, Edgar Campos

    2007-10-01

    This paper reviews some aspects of nonlinear model building from data with (gray box) and without (black box) prior knowledge. The model class is very important because it determines two aspects of the final model, namely (i) the type of nonlinearity that can be accurately approximated and (ii) the type of prior knowledge that can be taken into account. Such features are usually in conflict when it comes to choosing the model class. The problem of model structure selection is also reviewed. It is argued that such a problem is philosophically different depending on the model class and it is suggested that the choice of model class should be performed based on the type of a priori available. A procedure is proposed to build polynomial models from data on a Poincaré section and prior knowledge about the first period-doubling bifurcation, for which the normal form is also polynomial. The final models approximate dynamical data in a least-squares sense and, by design, present the first period-doubling bifurcation at a specified value of parameters. The procedure is illustrated by means of simulated examples.

  20. Perturbation of old knowledge precedes integration of new knowledge.

    PubMed

    Fang, Xiaoping; Perfetti, Charles A

    2017-03-14

    The importance of memory consolidation in integrating new knowledge has received much recent attention in the field of word learning. Less examined is the change in existing word knowledge as a result of learning, which we hypothesize to occur prior to the opportunity for consolidation. To test this, we had participants learn new meanings for known words and novel words. Then they performed a one-back task on a list of words that included the trained words followed by words that probed either their new or original meanings while EEGs were recorded. A probe word related to the new meaning of the preceding trained word did not show an N400 reduction compared to an unrelated word, suggesting that the new meaning had not been fully integrated, consistent with one account of complementary learning systems. However, when the probe word was related to the original meaning of the preceding trained word a perturbation effect was observed, indicated by a larger negativity at the central midline cluster (Cz) within 500-700 ms when the trained word had a new meaning than when presented as an exposure control. The perturbation effect suggests that even before a new meaning has become integrated with a word form, the attempt to learn a new meaning temporarily makes the original meaning of a word less accessible.

  1. 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.

  2. Knowledge acquisition through anticipation of modifications

    SciTech Connect

    Lefkowitz, L.S.

    1987-01-01

    Knowledge bases for expert systems are typically constructed and refined using information obtained through a series of dialogs between an expert in the application domain and a knowledge engineer. The assimilation of this information into an existing knowledge base is an important aspect of the knowledge engineer's task. This assimilation process requires an understanding of how the new information corresponds to that already contained in the knowledge base and how the existing information must be modified so as to reflect the expert's view of the domain. This work describes a new approach to knowledge acquisition and presents a system that implements this approach. This system modifies an existing knowledge base using information obtained during a discourse with a domain expert. Heuristic knowledge about the knowledge-acquisition process enables the system to anticipate modifications to existing entity descriptions. These anticipated modifications, or expectations, are used to provide a context in which to assimilate the new domain information.

  3. The relationship between immediate relevant basic science knowledge and clinical knowledge: physiology knowledge and transthoracic echocardiography image interpretation.

    PubMed

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

    2012-10-01

    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 research has implied that a more complex relationship between the two knowledge bases exists. In this study, we explore the relationship between immediate relevant basic science (physiology) and clinical knowledge within a specific domain of medicine (echocardiography). Twenty eight medical students in their 3rd year and 45 physicians (15 interns, 15 cardiology residents and 15 cardiology consultants) took a multiple-choice test of physiology knowledge. The physicians also viewed images of a transthoracic echocardiography (TTE) examination and completed a checklist of possible pathologies found. A total score for each participant was calculated for the physiology test, and for all physicians also for the TTE checklist. Consultants scored significantly higher on the physiology test than did medical students and interns. A significant correlation between physiology test scores and TTE checklist scores was found for the cardiology residents only. Basic science knowledge of immediate relevance for daily clinical work expands with increased work experience within a specific domain. Consultants showed no relationship between physiology knowledge and TTE interpretation indicating that experts do not use basic science knowledge in routine daily practice, but knowledge of immediate relevance remains ready for use.

  4. 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.

  5. Embedding knowledge in robot controllers

    SciTech Connect

    Puttre, M.

    1994-06-01

    This article reports that finding the right robot for a task and programming it remain key issues facing the industry. Developers, meanwhile, are striving to embed more applications knowledge in robot controllers using high-level languages and autonomy. Although robot components such as motors, arms, and sensors have become highly advanced, the control software and systems integration necessary to support rapidly configurable factory settings have been slow to emerge. The requirements for industrial robots currently are geared more toward performance than autonomy. However, as agile manufacturing issues gain importance, robot flexibility will also become an important requirement.

  6. Reasoning about Knowledge and Action.

    DTIC Science & Technology

    1980-10-01

    person to recognize the special problems that contexts such as knowledge and belief present for the logic of equality was Frege (1892). He pointed out...abstract entity *in which Is contained the manner and context of presentation,’ ( Frege . 1892, p. 86). Thus ’the morning star" has a different 63Ii 36 sense...refer to anything. Frege gives the example of "the series with the least [i.e., slowest] convergence". Having made this distinction, Frege goes on to

  7. Nurses' knowledge of inadvertent hypothermia.

    PubMed

    Hegarty, Josephine; Walsh, Ella; Burton, Aileen; Murphy, Sheila; O'gorman, Fionuala; McPolin, Gráinne

    2009-04-01

    Inadvertent hypothermia can have significant consequences in the perioperative setting. Knowing how to recognize and manage inadvertent hypothermia is an important aspect of perioperative nursing. A quantitative, descriptive study was conducted at an annual perioperative nursing conference to evaluate nurses' knowledge regarding the prevention of inadvertent perioperative hypothermia. Significant variations in responses regarding definitions of hypothermia and normothermia were noted. In addition, nurses identified a plethora of factors that prevent them from maintaining normothermia in their patients. These factors mandate a need for educational interventions and the adoption of practice guidelines in the clinical area.

  8. 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.

  9. The Loom Knowledge Representation Language.

    DTIC Science & Technology

    1987-05-01

    fied) 12 PERSONAL AUTHOR(S) Mac Gregor, Robert; Bates, Raymond- -3a TYPE OF REPORT l1b. TIME COVERED 14. DATE OF REPORT (Yea, Month, Day) .PAGE COUNT...level knowledge. We in- ficient, but not necessary to recognize an instance of a elude discussions on some of the types of inference which concept. For...example, we can say that "all featherless can be performed by the Loom system. We begin by bipeds are human", i.e., defining the four broad types of

  10. The Roles of Research Knowledge and Knowing-in-Action in Teachers' Development of Professional Knowledge.

    ERIC Educational Resources Information Center

    Russell, Tom

    This paper examines how teachers develop and modify professional knowledge in response to experience and to new research knowledge. A discussion is presented on the interaction of propositional knowledge (the basic medium of classroom and research knowledge) and practical knowledge (the observable competence apparent in successful professional…

  11. 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…

  12. 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…

  13. Emotion Knowledge in Young Neglected Children

    PubMed Central

    Sullivan, Margaret W.; Bennett, David S.; Carpenter, Kim; Lewis, Michael

    2013-01-01

    Young neglected children may be at risk for emotion knowledge deficits. Children with histories of neglect or with no maltreatment were initially seen at age 4 and again 1 year later to assess their emotion knowledge. Higher IQ was associated with better emotion knowledge, but neglected children had consistently poorer emotion knowledge over time compared to non-neglected children after controlling for IQ. Because both neglected status and IQ may contribute to deficits in emotional knowledge, both should be assessed when evaluating these children to appropriately design and pace emotion knowledge interventions. PMID:18299632

  14. 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

  15. 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.

  16. Public knowledge about AIDS increasing.

    PubMed

    Campbell, M J; Waters, W E

    1987-04-04

    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.

  17. Conceptual Representations of Perceptual Knowledge

    PubMed Central

    Smith, Edward E.; Myers, Nicholas; Sethi, Umrao; Pantazatos, Spiro; Yanagihara, Ted; Hirsch, Joy

    2012-01-01

    Many neuroimaging studies of semantic memory have argued that knowledge of an object’s perceptual properties are represented in a modality-specific manner. These studies often base their argument on finding activation in the left-hemisphere fusiform gyrus - a region assumed to be involved in perceptual processing - when the participant is verifying verbal statements about objects and properties. In this paper we report an extension of one of these influential papers—Kan, Barsalou, Solomon, Minor, and Thompson-Schill (2003)—and present evidence for an amodal component in the representation and processing of perceptual knowledge. Participants were required to verify object-property statements (e.g., “cat- whiskers?”; “bear-wings?”) while they were being scanned by fMRI. We replicated Kan et al’s activation in the left fusiform gyrus, but also found activation in regions of left inferior frontal gyrus (IFG) and middle-temporal gyrus, areas known to reflect amodal processes or representations. Further, only activations in the left IFG, an amodal area, were correlated with measures of behavioral performance. PMID:22994286

  18. Chief Knowledge Officers? Perceptions, Pitfalls, & Potential.

    ERIC Educational Resources Information Center

    Corcoran, Mary; Jones, Rebecca

    1997-01-01

    Argues that few librarians possess the needed competencies to fill the role of "chief knowledge officer" or "knowledge executive." Outlines executive competencies required: communications, leadership, experience, financial management, customer focus, entrepreneurial insight, and information technology grounding; examines gaps…

  19. 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)

  20. 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.

  1. 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.

  2. 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.

  3. 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)

  4. 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.

  5. Behavior Knowledge Space-Based Fusion for Copy-Move Forgery Detection.

    PubMed

    Ferreira, Anselmo; Felipussi, Siovani C; Alfaro, Carlos; Fonseca, Pablo; Vargas-Munoz, John E; Dos Santos, Jefersson A; Rocha, Anderson

    2016-07-20

    The detection of copy-move image tampering is of paramount importance nowadays, mainly due to its potential use for misleading the opinion forming process of the general public. In this paper, we go beyond traditional forgery detectors and aim at combining different properties of copy-move detection approaches by modeling the problem on a multiscale behavior knowledge space, which encodes the output combinations of different techniques as a priori probabilities considering multiple scales of the training data. Afterwards, the conditional probabilities missing entries are properly estimated through generative models applied on the existing training data. Finally, we propose different techniques that exploit the multi-directionality of the data to generate the final outcome detection map in a machine learning decision-making fashion. Experimental results on complex datasets, comparing the proposed techniques with a gamut of copy-move detection approaches and other fusion methodologies in the literature show the effectiveness of the proposed method and its suitability for real-world applications.

  6. 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.

  7. Automatic acquisition of domain and procedural knowledge

    NASA Technical Reports Server (NTRS)

    Ferber, H. J.; Ali, M.

    1988-01-01

    The design concept and performance of AKAS, an automated knowledge-acquisition system for the development of expert systems, are discussed. AKAS was developed using the FLES knowledge base for the electrical system of the B-737 aircraft and employs a 'learn by being told' strategy. The system comprises four basic modules, a system administration module, a natural-language concept-comprehension module, a knowledge-classification/extraction module, and a knowledge-incorporation module; details of the module architectures are explored.

  8. 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.

  9. On Advanced Knowledge and Higher Education

    ERIC Educational Resources Information Center

    Chen, Hongjie

    2009-01-01

    Advanced knowledge is the basis for higher education, but less research on higher education deals with it. The essay elaborates on the major point in several ways: first, the practice-oriented higher education research tends to ignore advanced knowledge; secondly, higher education shall never turn a blind eye to advanced knowledge due to their…

  10. 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…

  11. 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…

  12. Physician Knowledge of Child Sexual Abuse.

    ERIC Educational Resources Information Center

    Socolar, Rebecca R. S.

    1996-01-01

    A survey of physicians (n=113) concerning their knowledge about child sexual abuse found several areas of inadequate knowledge, including assessment of chlamydia infection, Tanner staging, and documentation of historical and physical exam findings. Factors associated with better knowledge scores were physician participation in continuing medical…

  13. Fostering Integrative Knowledge through ePortfolios

    ERIC Educational Resources Information Center

    Peet, Melissa; Lonn, Steven; Gurin, Patricia; Boyer, K. Page; Matney, Malinda; Marra, Tiffany; Taylor, Simone Himbeault; Daley, Andrea

    2011-01-01

    This paper presents results from a study which tested the validity of a conceptual model which proposes six dimensions of integrative knowledge and learning that result from students engaging in the core activities associated with the Integrative Knowledge Portfolio Process and Generative Knowledge Interviewing. These methods facilitate learning…

  14. Knowledge in Cities. Staff Report No. 470

    ERIC Educational Resources Information Center

    Gabe, Todd; Abel, Jaison R.; Ross, Adrienne; Stolarick, Kevin

    2010-01-01

    This study identifies clusters of U.S. and Canadian metropolitan areas with similar knowledge traits. These groups--ranging from Making Regions, characterized by knowledge about manufacturing, to Thinking Regions, noted for knowledge about the arts, humanities, information technology, and commerce--can be used by analysts and policymakers for the…

  15. Teaching Metacognitive Knowledge and Developing Expertise

    ERIC Educational Resources Information Center

    van Velzen, Joke H.

    2012-01-01

    Teacher educators' knowledge about metacognitive knowledge and developing expertise can provide for insights about teaching these "difficult" constructs. In this explorative study, six teacher educators' remarks regarding metacognitive knowledge and developing expertise were examined. The teacher educators filled in closed-ended and…

  16. 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)

  17. 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…

  18. Neo-Liberalism, Knowledge and Inclusiveness

    ERIC Educational Resources Information Center

    Roberts, Peter

    2004-01-01

    Over the past decade, "knowledge" has become a key policy buzz-word. This is particularly evident in policy material on education, science and research, where references to the importance of building the "new" knowledge society and economy abound. This article discusses two examples of these new knowledge discourses at work in…

  19. Interplay between Content Knowledge and Scientific Argumentation

    ERIC Educational Resources Information Center

    Hakyolu, Hanife; Ogan-Bekiroglu, Feral

    2016-01-01

    This research study aimed to analyze the relationship between content knowledge and argumentation by examining students' prior subject matter knowledge and their production of arguments as well as by comparing students' arguments with their knowledge-in-use during scientific argumentation sessions. A correlational research design was carried out…

  20. Indigenous Knowledge for Development: Opportunities and Challenges.

    ERIC Educational Resources Information Center

    Gorjestani, Nicolas

    Indigenous knowledge is a critical factor for sustainable development. Empowerment of local communities is a prerequisite for the integration of indigenous knowledge in the development process. The integration of appropriate indigenous knowledge systems into development programs has already contributed to efficiency, effectiveness, and sustainable…

  1. Memory, Knowledge, and the Answering of Questions.

    ERIC Educational Resources Information Center

    Norman, Donald A.

    An examination of the nature of memory reveals that the representation of knowledge cannot be separated from the uses of knowledge. The answering of questions is not a simple retrieval and response of stored information; rather the process is embedded in a general structural framework containing knowledge of the questioner, the question, and the…

  2. 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.

  3. Exploring Preschool Children's Science Content Knowledge

    ERIC Educational Resources Information Center

    Guo, Ying; Piasta, Shayne B.; Bowles, Ryan P.

    2015-01-01

    Research Findings: The purpose of this study was to describe children's science content knowledge and examine the early predictors of science content knowledge in a sample of 194 typically developing preschool children. Children's science content knowledge was assessed in the fall (Time 1) and spring (Time 2) of the preschool year. Results showed…

  4. 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…

  5. Knowledge Mapping: A Multipurpose Task Analysis Tool.

    ERIC Educational Resources Information Center

    Esque, Timm J.

    1988-01-01

    Describes knowledge mapping, a tool developed to increase the objectivity and accuracy of task difficulty ratings for job design. Application in a semiconductor manufacturing environment is discussed, including identifying prerequisite knowledge for a given task; establishing training development priorities; defining knowledge levels; identifying…

  6. 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…

  7. 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…

  8. Consultant/Linker Knowledge and Skills Inventory.

    ERIC Educational Resources Information Center

    Smink, Jay

    The Consultant/Linker Knowledge and Skills Inventory is used to assess both existing and needed levels of knowledge and skills for consulting with school staff. The inventory is self-administered, and requires 20 to 30 minutes to complete. For each item, knowledge and skill are rated low, medium, or high; and need for improvement is rated none,…

  9. 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…

  10. Knowledge Discovery from Databases: An Introductory Review.

    ERIC Educational Resources Information Center

    Vickery, Brian

    1997-01-01

    Introduces new procedures being used to extract knowledge from databases and discusses rationales for developing knowledge discovery methods. Methods are described for such techniques as classification, clustering, and the detection of deviations from pre-established norms. Examines potential uses of knowledge discovery in the information field.…

  11. Policy impacts of ecosystem services knowledge

    PubMed Central

    Posner, Stephen M.; McKenzie, Emily; Ricketts, Taylor H.

    2016-01-01

    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. PMID:26831101

  12. 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…

  13. Knowledge Management in Instructional Design. ERIC Digest.

    ERIC Educational Resources Information Center

    Spector, J. Michael; Edmonds, Gerald S.

    This digest reviews what instructional designers do, describes knowledge management, and indicates how knowledge management is influencing instructional design. The first section defines instructional design (ID) and briefly describes the ID process. The second section covers knowledge management (KM), including definitions of KM and systems,…

  14. Uses, Value, and Benefits of Knowledge.

    ERIC Educational Resources Information Center

    Machlup, Fritz

    1993-01-01

    Discussion of the value of knowledge clarifies issues related to the distinction between the process of information and the knowledge transmitted. Topics addressed include practical and intellectual knowledge, the value of education, the private and social value of scientific journals, and benefit-and-cost analysis. (eight references) (MES)

  15. Students' Wisdom Related Knowledge as Expertise

    ERIC Educational Resources Information Center

    Plavšic, Marlena; Ambrosi-Randic, Neala

    2016-01-01

    Wisdom, as a form of cognitive functioning, includes different types of knowledge and values, and it seems that increasing the knowledge about the world and different experiences may facilitate their development. School system usually pays more attention to accumulation of knowledge, but little related to wisdom. In this study wisdom…

  16. 16 CFR 1115.11 - Imputed knowledge.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 16 Commercial Practices 2 2010-01-01 2010-01-01 false Imputed knowledge. 1115.11 Section 1115.11... PRODUCT HAZARD REPORTS General Interpretation § 1115.11 Imputed knowledge. (a) In evaluating whether or... care to ascertain the truth of complaints or other representations. This includes the knowledge a...

  17. Teacher Knowledge Development in Early Field Experiences

    ERIC Educational Resources Information Center

    Ingersoll, Casey; Jenkins, Jayne M.; Lux, Karen

    2014-01-01

    Investigation of physical education preservice teacher knowledge development has been primarily limited to study of a single semester of early field experience (EFE), with findings from these investigations driving EFE design. The purpose of this research was to investigate what types of knowledge develop and how knowledge evolves and interacts to…

  18. Strategic Knowledge Networks for Global Education

    ERIC Educational Resources Information Center

    Peterson, J. Fiona

    2009-01-01

    The inherent opportunities for communication, collaboration and experiential learning in an online and global network create the impetus for the new network paradigm in higher education. A strategic knowledge network in education was designed and developed to build "Mode 2" knowledge capabilities; create new knowledge for innovative…

  19. 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,…

  20. Data warehousing: toward knowledge management.

    PubMed

    Shams, K; Farishta, M

    2001-02-01

    With rapid changes taking place in the practice and delivery of health care, decision support systems have assumed an increasingly important role. More and more health care institutions are deploying data warehouse applications as decision support tools for strategic decision making. By making the right information available at the right time to the right decision makers in the right manner, data warehouses empower employees to become knowledge workers with the ability to make the right decisions and solve problems, creating strategic leverage for the organization. Health care management must plan and implement data warehousing strategy using a best practice approach. Through the power of data warehousing, health care management can negotiate bettermanaged care contracts based on the ability to provide accurate data on case mix and resource utilization. Management can also save millions of dollars through the implementation of clinical pathways in better resource utilization and changing physician behavior to best practices based on evidence-based medicine.