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Sample records for auto regressive integrated

  1. Monthly streamflow forecasting with auto-regressive integrated moving average

    Science.gov (United States)

    Nasir, Najah; Samsudin, Ruhaidah; Shabri, Ani

    2017-09-01

    Forecasting of streamflow is one of the many ways that can contribute to better decision making for water resource management. The auto-regressive integrated moving average (ARIMA) model was selected in this research for monthly streamflow forecasting with enhancement made by pre-processing the data using singular spectrum analysis (SSA). This study also proposed an extension of the SSA technique to include a step where clustering was performed on the eigenvector pairs before reconstruction of the time series. The monthly streamflow data of Sungai Muda at Jeniang, Sungai Muda at Jambatan Syed Omar and Sungai Ketil at Kuala Pegang was gathered from the Department of Irrigation and Drainage Malaysia. A ratio of 9:1 was used to divide the data into training and testing sets. The ARIMA, SSA-ARIMA and Clustered SSA-ARIMA models were all developed in R software. Results from the proposed model are then compared to a conventional auto-regressive integrated moving average model using the root-mean-square error and mean absolute error values. It was found that the proposed model can outperform the conventional model.

  2. PERAMALAN DERET WAKTU MENGGUNAKAN MODEL FUNGSI BASIS RADIAL (RBF DAN AUTO REGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA

    Directory of Open Access Journals (Sweden)

    DT Wiyanti

    2013-07-01

    Full Text Available Salah satu metode peramalan yang paling dikembangkan saat ini adalah time series, yakni menggunakan pendekatan kuantitatif dengan data masa lampau yang dijadikan acuan untuk peramalan masa depan. Berbagai penelitian telah mengusulkan metode-metode untuk menyelesaikan time series, di antaranya statistik, jaringan syaraf, wavelet, dan sistem fuzzy. Metode-metode tersebut memiliki kekurangan dan keunggulan yang berbeda. Namun permasalahan yang ada dalam dunia nyata merupakan masalah yang kompleks. Satu metode saja mungkin tidak mampu mengatasi masalah tersebut dengan baik. Dalam artikel ini dibahas penggabungan dua buah metode yaitu Auto Regressive Integrated Moving Average (ARIMA dan Radial Basis Function (RBF. Alasan penggabungan kedua metode ini adalah karena adanya asumsi bahwa metode tunggal tidak dapat secara total mengidentifikasi semua karakteristik time series. Pada artikel ini dibahas peramalan terhadap data Indeks Harga Perdagangan Besar (IHPB dan data inflasi komoditi Indonesia; kedua data berada pada rentang tahun 2006 hingga beberapa bulan di tahun 2012. Kedua data tersebut masing-masing memiliki enam variabel. Hasil peramalan metode ARIMA-RBF dibandingkan dengan metode ARIMA dan metode RBF secara individual. Hasil analisa menunjukkan bahwa dengan metode penggabungan ARIMA dan RBF, model yang diberikan memiliki hasil yang lebih akurat dibandingkan dengan penggunaan salah satu metode saja. Hal ini terlihat dalam visual plot, MAPE, dan RMSE dari semua variabel pada dua data uji coba. The accuracy of time series forecasting is the subject of many decision-making processes. Time series use a quantitative approach to employ data from the past to make forecast for the future. Many researches have proposed several methods to solve time series, such as using statistics, neural networks, wavelets, and fuzzy systems. These methods have different advantages and disadvantages. But often the problem in the real world is just too complex that a

  3. The Prediction of Exchange Rates with the Use of Auto-Regressive Integrated Moving-Average Models

    Directory of Open Access Journals (Sweden)

    Daniela Spiesová

    2014-10-01

    Full Text Available Currency market is recently the largest world market during the existence of which there have been many theories regarding the prediction of the development of exchange rates based on macroeconomic, microeconomic, statistic and other models. The aim of this paper is to identify the adequate model for the prediction of non-stationary time series of exchange rates and then use this model to predict the trend of the development of European currencies against Euro. The uniqueness of this paper is in the fact that there are many expert studies dealing with the prediction of the currency pairs rates of the American dollar with other currency but there is only a limited number of scientific studies concerned with the long-term prediction of European currencies with the help of the integrated ARMA models even though the development of exchange rates has a crucial impact on all levels of economy and its prediction is an important indicator for individual countries, banks, companies and businessmen as well as for investors. The results of this study confirm that to predict the conditional variance and then to estimate the future values of exchange rates, it is adequate to use the ARIMA (1,1,1 model without constant, or ARIMA [(1,7,1,(1,7] model, where in the long-term, the square root of the conditional variance inclines towards stable value.

  4. Kepler AutoRegressive Planet Search

    Science.gov (United States)

    Feigelson, Eric

    NASA's Kepler mission is the source of more exoplanets than any other instrument, but the discovery depends on complex statistical analysis procedures embedded in the Kepler pipeline. A particular challenge is mitigating irregular stellar variability without loss of sensitivity to faint periodic planetary transits. This proposal presents a two-stage alternative analysis procedure. First, parametric autoregressive ARFIMA models, commonly used in econometrics, remove most of the stellar variations. Second, a novel matched filter is used to create a periodogram from which transit-like periodicities are identified. This analysis procedure, the Kepler AutoRegressive Planet Search (KARPS), is confirming most of the Kepler Objects of Interest and is expected to identify additional planetary candidates. The proposed research will complete application of the KARPS methodology to the prime Kepler mission light curves of 200,000: stars, and compare the results with Kepler Objects of Interest obtained with the Kepler pipeline. We will then conduct a variety of astronomical studies based on the KARPS results. Important subsamples will be extracted including Habitable Zone planets, hot super-Earths, grazing-transit hot Jupiters, and multi-planet systems. Groundbased spectroscopy of poorly studied candidates will be performed to better characterize the host stars. Studies of stellar variability will then be pursued based on KARPS analysis. The autocorrelation function and nonstationarity measures will be used to identify spotted stars at different stages of autoregressive modeling. Periodic variables with folded light curves inconsistent with planetary transits will be identified; they may be eclipsing or mutually-illuminating binary star systems. Classification of stellar variables with KARPS-derived statistical properties will be attempted. KARPS procedures will then be applied to archived K2 data to identify planetary transits and characterize stellar variability.

  5. Auto-correlograms and auto-regressive models of trace metal distributions in Cochin backwaters

    Digital Repository Service at National Institute of Oceanography (India)

    Jayalakshmy, K.V.; Sankaranarayanan, V.N.

    ,2 and 3 and for Zn at stations 1 and 4. The stability in time for the concentration profiles increases as Fe Mn Ni Cu Co. The fraction of variability in the variables obtained by the auto-regressive model of order 1 ranges from 20 to 50%. Auto-regressive...

  6. Kepler AutoRegressive Planet Search

    Science.gov (United States)

    Caceres, Gabriel Antonio; Feigelson, Eric

    2016-01-01

    The Kepler AutoRegressive Planet Search (KARPS) project uses statistical methodology associated with autoregressive (AR) processes to model Kepler lightcurves in order to improve exoplanet transit detection in systems with high stellar variability. We also introduce a planet-search algorithm to detect transits in time-series residuals after application of the AR models. One of the main obstacles in detecting faint planetary transits is the intrinsic stellar variability of the host star. The variability displayed by many stars may have autoregressive properties, wherein later flux values are correlated with previous ones in some manner. Our analysis procedure consisting of three steps: pre-processing of the data to remove discontinuities, gaps and outliers; AR-type model selection and fitting; and transit signal search of the residuals using a new Transit Comb Filter (TCF) that replaces traditional box-finding algorithms. The analysis procedures of the project are applied to a portion of the publicly available Kepler light curve data for the full 4-year mission duration. Tests of the methods have been made on a subset of Kepler Objects of Interest (KOI) systems, classified both as planetary `candidates' and `false positives' by the Kepler Team, as well as a random sample of unclassified systems. We find that the ARMA-type modeling successfully reduces the stellar variability, by a factor of 10 or more in active stars and by smaller factors in more quiescent stars. A typical quiescent Kepler star has an interquartile range (IQR) of ~10 e-/sec, which may improve slightly after modeling, while those with IQR ranging from 20 to 50 e-/sec, have improvements from 20% up to 70%. High activity stars (IQR exceeding 100) markedly improve. A periodogram based on the TCF is constructed to concentrate the signal of these periodic spikes. When a periodic transit is found, the model is displayed on a standard period-folded averaged light curve. Our findings to date on real

  7. CICAAR - Convolutive ICA with an Auto-Regressive Inverse Model

    DEFF Research Database (Denmark)

    Dyrholm, Mads; Hansen, Lars Kai

    2004-01-01

    We invoke an auto-regressive IIR inverse model for convolutive ICA and derive expressions for the likelihood and its gradient. We argue that optimization will give a stable inverse. When there are more sensors than sources the mixing model parameters are estimated in a second step by least squares...

  8. Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting

    Directory of Open Access Journals (Sweden)

    Hong-Juan Li

    2013-04-01

    Full Text Available Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR, this paper presents a SVR model hybridized with the empirical mode decomposition (EMD method and auto regression (AR for electric load forecasting. The electric load data of the New South Wales (Australia market are employed for comparing the forecasting performances of different forecasting models. The results confirm the validity of the idea that the proposed model can simultaneously provide forecasting with good accuracy and interpretability.

  9. A Logistic Regression Based Auto Insurance Rate-Making Model Designed for the Insurance Rate Reform

    Directory of Open Access Journals (Sweden)

    Zhengmin Duan

    2018-02-01

    Full Text Available Using a generalized linear model to determine the claim frequency of auto insurance is a key ingredient in non-life insurance research. Among auto insurance rate-making models, there are very few considering auto types. Therefore, in this paper we are proposing a model that takes auto types into account by making an innovative use of the auto burden index. Based on this model and data from a Chinese insurance company, we built a clustering model that classifies auto insurance rates into three risk levels. The claim frequency and the claim costs are fitted to select a better loss distribution. Then the Logistic Regression model is employed to fit the claim frequency, with the auto burden index considered. Three key findings can be concluded from our study. First, more than 80% of the autos with an auto burden index of 20 or higher belong to the highest risk level. Secondly, the claim frequency is better fitted using the Poisson distribution, however the claim cost is better fitted using the Gamma distribution. Lastly, based on the AIC criterion, the claim frequency is more adequately represented by models that consider the auto burden index than those do not. It is believed that insurance policy recommendations that are based on Generalized linear models (GLM can benefit from our findings.

  10. Methodology for the AutoRegressive Planet Search (ARPS) Project

    Science.gov (United States)

    Feigelson, Eric; Caceres, Gabriel; ARPS Collaboration

    2018-01-01

    The detection of periodic signals of transiting exoplanets is often impeded by the presence of aperiodic photometric variations. This variability is intrinsic to the host star in space-based observations (typically arising from magnetic activity) and from observational conditions in ground-based observations. The most common statistical procedures to remove stellar variations are nonparametric, such as wavelet decomposition or Gaussian Processes regression. However, many stars display variability with autoregressive properties, wherein later flux values are correlated with previous ones. Providing the time series is evenly spaced, parametric autoregressive models can prove very effective. Here we present the methodology of the Autoregessive Planet Search (ARPS) project which uses Autoregressive Integrated Moving Average (ARIMA) models to treat a wide variety of stochastic short-memory processes, as well as nonstationarity. Additionally, we introduce a planet-search algorithm to detect periodic transits in the time-series residuals after application of ARIMA models. Our matched-filter algorithm, the Transit Comb Filter (TCF), replaces the traditional box-fitting step. We construct a periodogram based on the TCF to concentrate the signal of these periodic spikes. Various features of the original light curves, the ARIMA fits, the TCF periodograms, and folded light curves at peaks of the TCF periodogram can then be collected to provide constraints for planet detection. These features provide input into a multivariate classifier when a training set is available. The ARPS procedure has been applied NASA's Kepler mission observations of ~200,000 stars (Caceres, Dissertation Talk, this meeting) and will be applied in the future to other datasets.

  11. Linking Simple Economic Theory Models and the Cointegrated Vector AutoRegressive Model

    DEFF Research Database (Denmark)

    Møller, Niels Framroze

    This paper attempts to clarify the connection between simple economic theory models and the approach of the Cointegrated Vector-Auto-Regressive model (CVAR). By considering (stylized) examples of simple static equilibrium models, it is illustrated in detail, how the theoretical model and its...

  12. An Integration of Math with Auto Technician Courses

    Science.gov (United States)

    Valenzuela, Hector

    2012-01-01

    This article describes the development of the contextualized math, the course design, student teaching and daily interaction with the students, and the implementation aspects of the research project designed to develop contextualized mathematics and integrate it into the Auto Technician courses. The applied math curriculum was integrated into…

  13. Auto-associative Kernel Regression Model with Weighted Distance Metric for Instrument Drift Monitoring

    International Nuclear Information System (INIS)

    Shin, Ho Cheol; Park, Moon Ghu; You, Skin

    2006-01-01

    Recently, many on-line approaches to instrument channel surveillance (drift monitoring and fault detection) have been reported worldwide. On-line monitoring (OLM) method evaluates instrument channel performance by assessing its consistency with other plant indications through parametric or non-parametric models. The heart of an OLM system is the model giving an estimate of the true process parameter value against individual measurements. This model gives process parameter estimate calculated as a function of other plant measurements which can be used to identify small sensor drifts that would require the sensor to be manually calibrated or replaced. This paper describes an improvement of auto associative kernel regression (AAKR) by introducing a correlation coefficient weighting on kernel distances. The prediction performance of the developed method is compared with conventional auto-associative kernel regression

  14. Brillouin Scattering Spectrum Analysis Based on Auto-Regressive Spectral Estimation

    Science.gov (United States)

    Huang, Mengyun; Li, Wei; Liu, Zhangyun; Cheng, Linghao; Guan, Bai-Ou

    2018-03-01

    Auto-regressive (AR) spectral estimation technology is proposed to analyze the Brillouin scattering spectrum in Brillouin optical time-domain refelectometry. It shows that AR based method can reliably estimate the Brillouin frequency shift with an accuracy much better than fast Fourier transform (FFT) based methods provided the data length is not too short. It enables about 3 times improvement over FFT at a moderate spatial resolution.

  15. AUTO

    DEFF Research Database (Denmark)

    Gammelgaard Nielsen, Anders; Aagaard, Tine; Diaz, pauline

    2011-01-01

    AUTO is the first assignment that the students of Architecture are introduced to at the Aarhus school of Architecture. The aim is to give students an understanding of design through a generic working method. This by disassembling a car engine and staging its components through a series of castings...

  16. An evaluation of an operating BWR piping system damping during earthquake by applying auto regressive analysis

    International Nuclear Information System (INIS)

    Kitada, Y.; Makiguchi, M.; Komori, A.; Ichiki, T.

    1985-01-01

    The records of three earthquakes which had induced significant earthquake response to the piping system were obtained with the earthquake observation system. In the present paper, first, the eigenvalue analysis results for the natural piping system based on the piping support (boundary) conditions are described and second, the frequency and the damping factor evaluation results for each vibrational mode are described. In the present study, the Auto Regressive (AR) analysis method is used in the evaluation of natural frequencies and damping factors. The AR analysis applied here has a capability of direct evaluation of natural frequencies and damping factors from earthquake records observed on a piping system without any information on the input motions to the system. (orig./HP)

  17. SURFACE INTEGRITY EVALUATION OF TURNING WITH AUTO-ROTATING TOOL

    Directory of Open Access Journals (Sweden)

    Jozef Struharnansky

    2016-09-01

    Full Text Available The technical practice requirements comes to have increased demands on higher productivity, speed and quality of the machining process of various materials. Hard to machine materials, whose machining led to the development of turning with rotating cutting edge are not an exception. The machining process of auto-rotating tool is more complicated than the conventional process of turning, especially for the process of reshaping cutting layers into chips. There is a significant load in the system, that may affect the life of the cutting edge of the tool as well as the whole system and also in the final extent of the qualitative parameters of the workpiece (product / product. The article specifies the knowledge and findings of measurement in machining material 100Cr6 with an auto-rotating tool. The measurements were conducted to evaluate the integrity of the surface (roughness of the workpiece to the impacts of cutting conditions, in particular the feed and the cutting edge inclination. It also analyzes the presence (size, character, action of residual stresses concentrated in the surface layers of the workpiece by changing the cutting conditions.

  18. Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes

    International Nuclear Information System (INIS)

    Faranda, Davide; Dubrulle, Bérengère; Daviaud, François; Pons, Flavio Maria Emanuele; Saint-Michel, Brice; Herbert, Éric; Cortet, Pierre-Philippe

    2014-01-01

    We introduce a novel way to extract information from turbulent datasets by applying an Auto Regressive Moving Average (ARMA) statistical analysis. Such analysis goes well beyond the analysis of the mean flow and of the fluctuations and links the behavior of the recorded time series to a discrete version of a stochastic differential equation which is able to describe the correlation structure in the dataset. We introduce a new index Υ that measures the difference between the resulting analysis and the Obukhov model of turbulence, the simplest stochastic model reproducing both Richardson law and the Kolmogorov spectrum. We test the method on datasets measured in a von Kármán swirling flow experiment. We found that the ARMA analysis is well correlated with spatial structures of the flow, and can discriminate between two different flows with comparable mean velocities, obtained by changing the forcing. Moreover, we show that the Υ is highest in regions where shear layer vortices are present, thereby establishing a link between deviations from the Kolmogorov model and coherent structures. These deviations are consistent with the ones observed by computing the Hurst exponents for the same time series. We show that some salient features of the analysis are preserved when considering global instead of local observables. Finally, we analyze flow configurations with multistability features where the ARMA technique is efficient in discriminating different stability branches of the system

  19. Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes

    Energy Technology Data Exchange (ETDEWEB)

    Faranda, Davide, E-mail: davide.faranda@cea.fr; Dubrulle, Bérengère; Daviaud, François [Laboratoire SPHYNX, Service de Physique de l' Etat Condensé, DSM, CEA Saclay, CNRS URA 2464, 91191 Gif-sur-Yvette (France); Pons, Flavio Maria Emanuele [Dipartimento di Scienze Statistiche, Universitá di Bologna, Via delle Belle Arti 41, 40126 Bologna (Italy); Saint-Michel, Brice [Institut de Recherche sur les Phénomènes Hors Equilibre, Technopole de Chateau Gombert, 49 rue Frédéric Joliot Curie, B.P. 146, 13 384 Marseille (France); Herbert, Éric [Université Paris Diderot - LIED - UMR 8236, Laboratoire Interdisciplinaire des Énergies de Demain, Paris (France); Cortet, Pierre-Philippe [Laboratoire FAST, CNRS, Université Paris-Sud (France)

    2014-10-15

    We introduce a novel way to extract information from turbulent datasets by applying an Auto Regressive Moving Average (ARMA) statistical analysis. Such analysis goes well beyond the analysis of the mean flow and of the fluctuations and links the behavior of the recorded time series to a discrete version of a stochastic differential equation which is able to describe the correlation structure in the dataset. We introduce a new index Υ that measures the difference between the resulting analysis and the Obukhov model of turbulence, the simplest stochastic model reproducing both Richardson law and the Kolmogorov spectrum. We test the method on datasets measured in a von Kármán swirling flow experiment. We found that the ARMA analysis is well correlated with spatial structures of the flow, and can discriminate between two different flows with comparable mean velocities, obtained by changing the forcing. Moreover, we show that the Υ is highest in regions where shear layer vortices are present, thereby establishing a link between deviations from the Kolmogorov model and coherent structures. These deviations are consistent with the ones observed by computing the Hurst exponents for the same time series. We show that some salient features of the analysis are preserved when considering global instead of local observables. Finally, we analyze flow configurations with multistability features where the ARMA technique is efficient in discriminating different stability branches of the system.

  20. An evaluation of an operating BWR piping system damping during earthquake by applying auto regressive analysis

    International Nuclear Information System (INIS)

    Kitada, Yoshio; Ichiki, Tadaharu; Makiguchi, Morio; Komori, Akio.

    1986-01-01

    The observation of the equipment and piping system installed in an operating nuclear power plant in earthquakes is very umportant for evaluating and confirming the adequacy and the safety margin expected in the design stage. By analyzing observed earthquake records, it can be expected to get the valuable data concerning the behavior of those in earthquakes, and extract the information about the aseismatic design parameters for those systems. From these viewpoints, an earthquake observation system was installed in a reactor building in an operating plant. Up to now, the records of three earthquakes were obtained with this system. In this paper, an example of the analysis of earthquake records is shown, and the main purpose of the analysis was the evaluation of the vibration mode, natural frequency and damping factor of this piping system. Prior to the earthquake record analysis, the eigenvalue analysis for this piping system was performed. Auto-regressive analysis was applied to the observed acceleration time history which was obtained with a piping system installed in an operating BWR. The results of earthquake record analysis agreed well with the results of eigenvalue analysis. (Kako, I.)

  1. Development and Testing of Building Energy Model Using Non-Linear Auto Regression Artificial Neural Networks

    Science.gov (United States)

    Arida, Maya Ahmad

    In 1972 sustainable development concept existed and during The years it became one of the most important solution to save natural resources and energy, but now with rising energy costs and increasing awareness of the effect of global warming, the development of building energy saving methods and models become apparently more necessary for sustainable future. According to U.S. Energy Information Administration EIA (EIA), today buildings in the U.S. consume 72 percent of electricity produced, and use 55 percent of U.S. natural gas. Buildings account for about 40 percent of the energy consumed in the United States, more than industry and transportation. Of this energy, heating and cooling systems use about 55 percent. If energy-use trends continue, buildings will become the largest consumer of global energy by 2025. This thesis proposes procedures and analysis techniques for building energy system and optimization methods using time series auto regression artificial neural networks. The model predicts whole building energy consumptions as a function of four input variables, dry bulb and wet bulb outdoor air temperatures, hour of day and type of day. The proposed model and the optimization process are tested using data collected from an existing building located in Greensboro, NC. The testing results show that the model can capture very well the system performance, and The optimization method was also developed to automate the process of finding the best model structure that can produce the best accurate prediction against the actual data. The results show that the developed model can provide results sufficiently accurate for its use in various energy efficiency and saving estimation applications.

  2. Real time damage detection using recursive principal components and time varying auto-regressive modeling

    Science.gov (United States)

    Krishnan, M.; Bhowmik, B.; Hazra, B.; Pakrashi, V.

    2018-02-01

    In this paper, a novel baseline free approach for continuous online damage detection of multi degree of freedom vibrating structures using Recursive Principal Component Analysis (RPCA) in conjunction with Time Varying Auto-Regressive Modeling (TVAR) is proposed. In this method, the acceleration data is used to obtain recursive proper orthogonal components online using rank-one perturbation method, followed by TVAR modeling of the first transformed response, to detect the change in the dynamic behavior of the vibrating system from its pristine state to contiguous linear/non-linear-states that indicate damage. Most of the works available in the literature deal with algorithms that require windowing of the gathered data owing to their data-driven nature which renders them ineffective for online implementation. Algorithms focussed on mathematically consistent recursive techniques in a rigorous theoretical framework of structural damage detection is missing, which motivates the development of the present framework that is amenable for online implementation which could be utilized along with suite experimental and numerical investigations. The RPCA algorithm iterates the eigenvector and eigenvalue estimates for sample covariance matrices and new data point at each successive time instants, using the rank-one perturbation method. TVAR modeling on the principal component explaining maximum variance is utilized and the damage is identified by tracking the TVAR coefficients. This eliminates the need for offline post processing and facilitates online damage detection especially when applied to streaming data without requiring any baseline data. Numerical simulations performed on a 5-dof nonlinear system under white noise excitation and El Centro (also known as 1940 Imperial Valley earthquake) excitation, for different damage scenarios, demonstrate the robustness of the proposed algorithm. The method is further validated on results obtained from case studies involving

  3. Auto-regressive processes explained by self-organized maps. Application to the detection of abnormal behavior in industrial processes.

    Science.gov (United States)

    Brighenti, Chiara; Sanz-Bobi, Miguel Á

    2011-12-01

    This paper analyzes the expected time evolution of an auto-regressive (AR) process using self-organized maps (SOM). It investigates how a SOM captures the time information given by the AR input process and how the transitions from one neuron to another one can be understood under a probabilistic perspective. In particular, regions of the map into which the AR process is expected to move are identified. This characterization allows detecting anomalous changes in the AR process structure or parameters. On the basis of the theoretical results, an anomaly detection method is proposed and applied to a real industrial process.

  4. Multi-Layer Perceptron (MLP)-Based Nonlinear Auto-Regressive with Exogenous Inputs (NARX) Stock Forecasting Model

    OpenAIRE

    I. M. Yassin; M. F. Abdul Khalid; S. H. Herman; I. Pasya; N. Ab Wahab; Z. Awang

    2017-01-01

    The prediction of stocks in the stock market is important in investment as it would help the investor to time buy and sell transactions to maximize profits. In this paper, a Multi-Layer Perceptron (MLP)-based Nonlinear Auto-Regressive with Exogenous Inputs (NARX) model was used to predict the prices of the Apple Inc. weekly stock prices over a time horizon of 1995 to 2013. The NARX model belongs is a system identification model that constructs a mathematical model from the dynamic input/outpu...

  5. Recursive wind speed forecasting based on Hammerstein Auto-Regressive model

    International Nuclear Information System (INIS)

    Ait Maatallah, Othman; Achuthan, Ajit; Janoyan, Kerop; Marzocca, Pier

    2015-01-01

    Highlights: • Developed a new recursive WSF model for 1–24 h horizon based on Hammerstein model. • Nonlinear HAR model successfully captured chaotic dynamics of wind speed time series. • Recursive WSF intrinsic error accumulation corrected by applying rotation. • Model verified for real wind speed data from two sites with different characteristics. • HAR model outperformed both ARIMA and ANN models in terms of accuracy of prediction. - Abstract: A new Wind Speed Forecasting (WSF) model, suitable for a short term 1–24 h forecast horizon, is developed by adapting Hammerstein model to an Autoregressive approach. The model is applied to real data collected for a period of three years (2004–2006) from two different sites. The performance of HAR model is evaluated by comparing its prediction with the classical Autoregressive Integrated Moving Average (ARIMA) model and a multi-layer perceptron Artificial Neural Network (ANN). Results show that the HAR model outperforms both the ARIMA model and ANN model in terms of root mean square error (RMSE), mean absolute error (MAE), and Mean Absolute Percentage Error (MAPE). When compared to the conventional models, the new HAR model can better capture various wind speed characteristics, including asymmetric (non-gaussian) wind speed distribution, non-stationary time series profile, and the chaotic dynamics. The new model is beneficial for various applications in the renewable energy area, particularly for power scheduling

  6. A new data integration approach for AutoCAD and GIS

    Science.gov (United States)

    Ye, Hongmei; Li, Yuhong; Wang, Cheng; Li, Lijun

    2006-10-01

    GIS has its advantages both on spatial data analysis and management, particularly on the geometric and attributive information management, which has also attracted lots attentions among researchers around world. AutoCAD plays more and more important roles as one of the main data sources of GIS. Various work and achievements can be found in the related literature. However, the conventional data integration from AutoCAD to GIS is time-consuming, which also can cause the information loss both in the geometric aspects and the attributive aspects for a large system. It is necessary and urgent to sort out new approach and algorithm for the efficient high-quality data integration. In this paper, a novel data integration approach from AutoCAD to GIS will be introduced based on the spatial data mining technique through the data structure analysis both in the AutoCAD and GIS. A practicable algorithm for the data conversion from CAD to GIS will be given as well. By a designed evaluation scheme, the accuracy of the conversion both in the geometric and the attributive information will be demonstrated. Finally, the validity and feasibility of the new approach will be shown by an experimental analysis.

  7. Improving the vector auto regression technique for time-series link prediction by using support vector machine

    Directory of Open Access Journals (Sweden)

    Co Jan Miles

    2016-01-01

    Full Text Available Predicting links between the nodes of a graph has become an important Data Mining task because of its direct applications to biology, social networking, communication surveillance, and other domains. Recent literature in time-series link prediction has shown that the Vector Auto Regression (VAR technique is one of the most accurate for this problem. In this study, we apply Support Vector Machine (SVM to improve the VAR technique that uses an unweighted adjacency matrix along with 5 matrices: Common Neighbor (CN, Adamic-Adar (AA, Jaccard’s Coefficient (JC, Preferential Attachment (PA, and Research Allocation Index (RA. A DBLP dataset covering the years from 2003 until 2013 was collected and transformed into time-sliced graph representations. The appropriate matrices were computed from these graphs, mapped to the feature space, and then used to build baseline VAR models with lag of 2 and some corresponding SVM classifiers. Using the Area Under the Receiver Operating Characteristic Curve (AUC-ROC as the main fitness metric, the average result of 82.04% for the VAR was improved to 84.78% with SVM. Additional experiments to handle the highly imbalanced dataset by oversampling with SMOTE and undersampling with K-means clusters, however, did not improve the average AUC-ROC of the baseline SVM.

  8. Non-contact video-based vital sign monitoring using ambient light and auto-regressive models

    International Nuclear Information System (INIS)

    Tarassenko, L; Villarroel, M; Guazzi, A; Jorge, J; Clifton, D A; Pugh, C

    2014-01-01

    Remote sensing of the reflectance photoplethysmogram using a video camera typically positioned 1 m away from the patient’s face is a promising method for monitoring the vital signs of patients without attaching any electrodes or sensors to them. Most of the papers in the literature on non-contact vital sign monitoring report results on human volunteers in controlled environments. We have been able to obtain estimates of heart rate and respiratory rate and preliminary results on changes in oxygen saturation from double-monitored patients undergoing haemodialysis in the Oxford Kidney Unit. To achieve this, we have devised a novel method of cancelling out aliased frequency components caused by artificial light flicker, using auto-regressive (AR) modelling and pole cancellation. Secondly, we have been able to construct accurate maps of the spatial distribution of heart rate and respiratory rate information from the coefficients of the AR model. In stable sections with minimal patient motion, the mean absolute error between the camera-derived estimate of heart rate and the reference value from a pulse oximeter is similar to the mean absolute error between two pulse oximeter measurements at different sites (finger and earlobe). The activities of daily living affect the respiratory rate, but the camera-derived estimates of this parameter are at least as accurate as those derived from a thoracic expansion sensor (chest belt). During a period of obstructive sleep apnoea, we tracked changes in oxygen saturation using the ratio of normalized reflectance changes in two colour channels (red and blue), but this required calibration against the reference data from a pulse oximeter. (paper)

  9. Day of the year-based prediction of horizontal global solar radiation by a neural network auto-regressive model

    Science.gov (United States)

    Gani, Abdullah; Mohammadi, Kasra; Shamshirband, Shahaboddin; Khorasanizadeh, Hossein; Seyed Danesh, Amir; Piri, Jamshid; Ismail, Zuraini; Zamani, Mazdak

    2016-08-01

    The availability of accurate solar radiation data is essential for designing as well as simulating the solar energy systems. In this study, by employing the long-term daily measured solar data, a neural network auto-regressive model with exogenous inputs (NN-ARX) is applied to predict daily horizontal global solar radiation using day of the year as the sole input. The prime aim is to provide a convenient and precise way for rapid daily global solar radiation prediction, for the stations and their immediate surroundings with such an observation, without utilizing any meteorological-based inputs. To fulfill this, seven Iranian cities with different geographical locations and solar radiation characteristics are considered as case studies. The performance of NN-ARX is compared against the adaptive neuro-fuzzy inference system (ANFIS). The achieved results prove that day of the year-based prediction of daily global solar radiation by both NN-ARX and ANFIS models would be highly feasible owing to the accurate predictions attained. Nevertheless, the statistical analysis indicates the superiority of NN-ARX over ANFIS. In fact, the NN-ARX model represents high potential to follow the measured data favorably for all cities. For the considered cities, the attained statistical indicators of mean absolute bias error, root mean square error, and coefficient of determination for the NN-ARX models are in the ranges of 0.44-0.61 kWh/m2, 0.50-0.71 kWh/m2, and 0.78-0.91, respectively.

  10. Unsupervised parsing of gaze data with a beta-process vector auto-regressive hidden Markov model.

    Science.gov (United States)

    Houpt, Joseph W; Frame, Mary E; Blaha, Leslie M

    2017-10-26

    The first stage of analyzing eye-tracking data is commonly to code the data into sequences of fixations and saccades. This process is usually automated using simple, predetermined rules for classifying ranges of the time series into events, such as "if the dispersion of gaze samples is lower than a particular threshold, then code as a fixation; otherwise code as a saccade." More recent approaches incorporate additional eye-movement categories in automated parsing algorithms by using time-varying, data-driven thresholds. We describe an alternative approach using the beta-process vector auto-regressive hidden Markov model (BP-AR-HMM). The BP-AR-HMM offers two main advantages over existing frameworks. First, it provides a statistical model for eye-movement classification rather than a single estimate. Second, the BP-AR-HMM uses a latent process to model the number and nature of the types of eye movements and hence is not constrained to predetermined categories. We applied the BP-AR-HMM both to high-sampling rate gaze data from Andersson et al. (Behavior Research Methods 49(2), 1-22 2016) and to low-sampling rate data from the DIEM project (Mital et al., Cognitive Computation 3(1), 5-24 2011). Driven by the data properties, the BP-AR-HMM identified over five categories of movements, some which clearly mapped on to fixations and saccades, and others potentially captured post-saccadic oscillations, smooth pursuit, and various recording errors. The BP-AR-HMM serves as an effective algorithm for data-driven event parsing alone or as an initial step in exploring the characteristics of gaze data sets.

  11. Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling: a case study

    NARCIS (Netherlands)

    Lin, Y.P.; Chu, H.J.; Wu, C.F.; Verburg, P.H.

    2011-01-01

    The objective of this study is to compare the abilities of logistic, auto-logistic and artificial neural network (ANN) models for quantifying the relationships between land uses and their drivers. In addition, the application of the results obtained by the three techniques is tested in a dynamic

  12. Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling: a case study

    OpenAIRE

    Lin, Y.P.; Chu, H.J.; Wu, C.F.; Verburg, P.H.

    2011-01-01

    The objective of this study is to compare the abilities of logistic, auto-logistic and artificial neural network (ANN) models for quantifying the relationships between land uses and their drivers. In addition, the application of the results obtained by the three techniques is tested in a dynamic land-use change model (CLUE-s) for the Paochiao watershed region in Taiwan. Relative operating characteristic curves (ROCs), kappa statistics, multiple resolution validation and landscape metrics were...

  13. Auto-Bäcklund transformations and special integrals for differential-delay Painlevé hierarchies

    Science.gov (United States)

    Fedorov, Yuri; Gordoa, Pilar R.; Pickering, Andrew

    2014-10-01

    The six Painlevé equations have attracted much interest over the last thirty years or so. More recently many authors have begun to explore properties of higher-order versions of both these equations and their discrete analogues. However, little attention has been paid to differential-delay Painlevé equations, i.e., analogues of the Painlevé equations involving both shifts in and derivatives with respect to the independent variable, and even less to higher-order analogues of these last. In the current paper we discuss the phenomenon whereby members of one differential-delay Painlevé hierarchy define solutions of higher-order members of a second differential-delay Painlevé hierarchy. We also give an auto-Bäcklund transformation for a differential-delay Painlevé hierarchy. The key to our approach is the underlying Hamiltonian structure of related completely integrable lattice hierarchies.

  14. Integrated Multiscale Latent Variable Regression and Application to Distillation Columns

    Directory of Open Access Journals (Sweden)

    Muddu Madakyaru

    2013-01-01

    Full Text Available Proper control of distillation columns requires estimating some key variables that are challenging to measure online (such as compositions, which are usually estimated using inferential models. Commonly used inferential models include latent variable regression (LVR techniques, such as principal component regression (PCR, partial least squares (PLS, and regularized canonical correlation analysis (RCCA. Unfortunately, measured practical data are usually contaminated with errors, which degrade the prediction abilities of inferential models. Therefore, noisy measurements need to be filtered to enhance the prediction accuracy of these models. Multiscale filtering has been shown to be a powerful feature extraction tool. In this work, the advantages of multiscale filtering are utilized to enhance the prediction accuracy of LVR models by developing an integrated multiscale LVR (IMSLVR modeling algorithm that integrates modeling and feature extraction. The idea behind the IMSLVR modeling algorithm is to filter the process data at different decomposition levels, model the filtered data from each level, and then select the LVR model that optimizes a model selection criterion. The performance of the developed IMSLVR algorithm is illustrated using three examples, one using synthetic data, one using simulated distillation column data, and one using experimental packed bed distillation column data. All examples clearly demonstrate the effectiveness of the IMSLVR algorithm over the conventional methods.

  15. Dinâmica inflacionária brasileira: resultados de auto-regressão quantílica

    Directory of Open Access Journals (Sweden)

    André Luis Santiago Maia

    2006-06-01

    Full Text Available Neste artigo nós estudamos a dinâmica inflacionária brasileira após a implementação do Plano Real em 1994. Nós usamos modelos auto-regressivos quantílicos e testes de raiz unitária baseados em representações autoregressivas quantílicas para caracterizar tal dinâmica. O artigo mostra que a dinâmica inflacionária não apresenta comportamento uniforme ao longo dos diferentes quantis condicionais. Em particular, os resultados fornecem evidência de dinâmica globalmente estacionária, mesmo com o processo alcançando não-estacionariedade na cauda superior da distribuição condicional.The object of study of this paper is the Brazilian inflationary dynamics after the implementation of the Real Plan in 1994. We use quantile autoregressive models and unit root tests derived from quantile autoregressive representations to characterize such dynamics. It is shown that the inflationary dynamics is not uniform across different conditional quantiles. In particular, the overall dynamics is stationary, even though the time series behavior of the process at the upper tail of the conditional distribution proves to be far from stationary.

  16. Logistic Regression Modeling of Diminishing Manufacturing Sources for Integrated Circuits

    National Research Council Canada - National Science Library

    Gravier, Michael

    1999-01-01

    .... The research identified logistic regression as a powerful tool for analysis of DMSMS and further developed twenty models attempting to identify the "best" way to model and predict DMSMS using logistic regression...

  17. Integrated nonlinear regression analysis of tracer and well test data

    Energy Technology Data Exchange (ETDEWEB)

    Akin, Serhat [Petroleum and Natural Gas Engineering Department, Middle East Technical University, Inonu Bulvari 06531 Ankara (Turkey)

    2003-08-01

    One frequent observation from conventional pressure transient test analysis is that field data match mathematical models derived for homogeneous systems. This observation suggests that pressure data as presently interpreted may not contain details concerning certain reservoir heterogeneities. On the other hand, tracer tests may be more sensitive to heterogeneous elements present in the reservoir because of the convective nature of the flow test. In this study, a possible improvement of conventional pressure transient and tracer test analysis by integrating them using the nonlinear least square (LS) regression method is investigated. To achieve this goal, a correlation between permeability and dispersivity is used to couple the response of both tests. A multi-fracture tracer test model was coupled with double porosity pressure models using a commercial spreadsheet. The proposed method is tested using experimental well test and tracer test data obtained from a fractured geothermal reservoir model where fracture apertures and distributions were known. It has been observed that changing injection-production well depths resulted in different analyses primarily due to changing flow paths. The combination of multi-fracture tracer test model with dual-porosity pressure transient model described the physics of the experiments better than the others did. It has been also observed that the obtained solutions are highly constrained.

  18. Response Analysis and Auto-Regressive Exogenous Modeling of a Steel-Reinforced Concrete High-Rise Building during the 2011 Off the Pacific Coast of Tohoku Earthquake

    Directory of Open Access Journals (Sweden)

    Naohiro Nakamura

    2017-12-01

    Full Text Available Many seismic records were obtained during the 2011 off the Pacific coast of Tohoku earthquake. These records can be used to improve the seismic design and disaster prevention capabilities of buildings. In this paper, seismic simulation analyses of a steel-reinforced concrete high-rise building located in the Tokyo Bay area are conducted based on the seismic record of the Tohoku earthquake. A non-linear sway-rocking model is used in the analysis, and comparisons are drawn between the observed records and analytical results of the pre-shock, main shock, and earthquake after 1 month. The analytical results correspond well with the seismic records, and the effect of the non-linear nature of the main shock is retained in the building. This is an important consideration when conducting response evaluation. An auto-regressive exogenous model is used to identify the first and second natural periods, and the damping ratios, of both the records and the analytical results. Although the first and second damping ratios are similar in value to the observed results, the second damping ratio is overestimated in the analytical results because of the stiffness damping model.

  19. Fouling resistance prediction using artificial neural network nonlinear auto-regressive with exogenous input model based on operating conditions and fluid properties correlations

    Energy Technology Data Exchange (ETDEWEB)

    Biyanto, Totok R. [Department of Engineering Physics, Institute Technology of Sepuluh Nopember Surabaya, Surabaya, Indonesia 60111 (Indonesia)

    2016-06-03

    Fouling in a heat exchanger in Crude Preheat Train (CPT) refinery is an unsolved problem that reduces the plant efficiency, increases fuel consumption and CO{sub 2} emission. The fouling resistance behavior is very complex. It is difficult to develop a model using first principle equation to predict the fouling resistance due to different operating conditions and different crude blends. In this paper, Artificial Neural Networks (ANN) MultiLayer Perceptron (MLP) with input structure using Nonlinear Auto-Regressive with eXogenous (NARX) is utilized to build the fouling resistance model in shell and tube heat exchanger (STHX). The input data of the model are flow rates and temperatures of the streams of the heat exchanger, physical properties of product and crude blend data. This model serves as a predicting tool to optimize operating conditions and preventive maintenance of STHX. The results show that the model can capture the complexity of fouling characteristics in heat exchanger due to thermodynamic conditions and variations in crude oil properties (blends). It was found that the Root Mean Square Error (RMSE) are suitable to capture the nonlinearity and complexity of the STHX fouling resistance during phases of training and validation.

  20. Resolution enhanced 3D image reconstruction by use of ray tracing and auto-focus in computational integral imaging

    Science.gov (United States)

    Yuan, Ying; Yu, Shuo; Wang, Xiaorui; Zhang, Jianlei

    2017-12-01

    We propose a three-dimensional (3D) image reconstruction algorithm that can computationally reconstruct the light field image with enhanced resolution. This method is based on ray tracing and can reconstruct the elemental images from arbitrary viewpoints. In the conventional integral imaging reconstruction process, a plane needs to be selected to make the reconstructed image in focus, so prior knowledge is required. Auto-focus (AF) of the digital camera is applied in the integral imaging reconstruction process and the optimal reconstruction plane can be selected automatically without any prior knowledge. Thus, the integral imaging system can record the light field of 3D scene without focusing on them and image focusing will be completed in the computational post-processing process. To our knowledge, this is the first time to apply auto-focus method to 3D integral imaging reconstruction. Furthermore, the depth-of-field can be controlled by adjusting the transmission angle of light ray from the elemental images. Experimental results are presented to demonstrate the feasibility and effectiveness of the proposed method.

  1. Integration of auto analysis program of gamma spectrum and software and determination of element content in sample by k-zero method

    International Nuclear Information System (INIS)

    Trinh Quang Vinh; Truong Thi Hong Loan; Mai Van Nhon; Huynh Truc Phuong

    2014-01-01

    Integrating the gamma spectrum auto-analysis program with elemental analysis software by k-zero method is the objective for many researchers. This work is the first stepin building an auto analysis program of gamma spectrum, which includes modules of reading spectrum, displaying spectrum, calibrating energy of peak, smoothing spectrum, calculating peak area and determining content of elements in sample. Then, the results from the measurements of standard samples by a low level spectrometer using HPGe detector are compared to those of other gamma spectrum auto-analysis programs. (author)

  2. The LP [liquefied petroleum] gas industry and auto-propane: Toward an integrated North American strategy

    International Nuclear Information System (INIS)

    Kurtze, W.L.

    1992-01-01

    The auto propane industry began in Canada in the 1980s as a result of government policies favoring alternate fuels. Total propane demand is ca 4.1 billion liters, with over 30% of this demand in the automotive fuel market. This market is concentrated in Ontario, British Columbia, and Alberta. The total number of propane-powered vehicles in Canada is ca 140,000, the number of propane service stations is over 5,000, and there are ca 850 shops where automobiles can be converted to run on propane. The number of conversions was 15,000 in 1992, down from nearly 23,000 in 1991. The cost of conversion ranges from $1,500 to $2,000. The advantages of propane over gasoline is lower emissions, notably in cold weather, and good performance. To maintain propane's environmental advantage, initiatives are being led by the Canadian Auto Propane Council to develop a multifaceted technical strategy. This strategy includes cooperation with the auto industry to encourage original equipment manufacture of a propane car, participation in gaseous and liquid fuel injection projects designed to permit vehicle conversion, introduction of a stand-alone automatic stop fill valve to eliminate emissions in the filling process, and research on conversion of medium- and heavy-duty engines. Cooperation with the industry in the USA is also recommended

  3. Learning-based deformable registration for infant MRI by integrating random forest with auto-context model.

    Science.gov (United States)

    Wei, Lifang; Cao, Xiaohuan; Wang, Zhensong; Gao, Yaozong; Hu, Shunbo; Wang, Li; Wu, Guorong; Shen, Dinggang

    2017-12-01

    Accurately analyzing the rapid structural evolution of human brain in the first year of life is a key step in early brain development studies, which requires accurate deformable image registration. However, due to (a) dynamic appearance and (b) large anatomical changes, very few methods in the literature can work well for the registration of two infant brain MR images acquired at two arbitrary development phases, such as birth and one-year-old. To address these challenging issues, we propose a learning-based registration method, which can handle the anatomical structures and the appearance changes between the two infant brain MR images with possible time gap. Specifically, in the training stage, we employ a multioutput random forest regression and auto-context model to learn the evolution of anatomical shape and appearance from a training set of longitudinal infant images. To make the learning procedure more robust, we further harness the multimodal MR imaging information. Then, in the testing stage, for registering the two new infant images scanned at two different development phases, the learned model will be used to predict both the deformation field and appearance changes between the images under registration. After that, it becomes much easier to deploy any conventional image registration method to complete the remaining registration since the above-mentioned challenges for state-of-the-art registration methods have been well addressed. We have applied our proposed registration method to intersubject registration of infant brain MR images acquired at 2-week-old, 3-month-old, 6-month-old, and 9-month-old with the images acquired at 12-month-old. Promising registration results have been achieved in terms of registration accuracy, compared with the counterpart nonlearning based registration methods. The proposed new learning-based registration method have tackled the challenging issues in registering infant brain images acquired from the first year of life, by

  4. A unified framework for testing in the linear regression model under unknown order of fractional integration

    DEFF Research Database (Denmark)

    Christensen, Bent Jesper; Kruse, Robinson; Sibbertsen, Philipp

    We consider hypothesis testing in a general linear time series regression framework when the possibly fractional order of integration of the error term is unknown. We show that the approach suggested by Vogelsang (1998a) for the case of integer integration does not apply to the case of fractional...

  5. Structured catalysts for methane auto-thermal reforming in a compact thermal integrated reaction system

    International Nuclear Information System (INIS)

    Palma, Vincenzo; Ricca, Antonio; Ciambelli, Paolo

    2013-01-01

    In this work a compact catalytic reactor was analysed for the ATR of CH 4 as natural gas surrogate. Structured catalysts (commercial honeycomb and foam monoliths) performances in CH 4 processing were studied. In reactor design, great attention has been paid to the thermal integration, in order to obtain a total self-sustainability of the process avoiding additional external heat sources, and improving the plant compactness. Through a heat exchange system integrated in the reactor, water and air streams are preheated by exploiting the heat from exhaust stream, allowing to feed reactants at room temperature as well as cooling products stream at a temperature suitable for further purification stages (Water Gas Shift, Preferential Oxidation). In order to have a very comprehensive process analysis, temperatures and composition were monitored in 6 point along the catalytic bed. The influence of catalytic system geometry and thermal conductivity in the process performances were also analysed. Preliminary tests showed high thermal system efficiency, with a good hydrocarbon conversion at different operating conditions for both catalyst typologies

  6. Program auto

    International Nuclear Information System (INIS)

    Rawool-Sullivan, M.W.; Plagnol, E.

    1990-01-01

    The program AUTO was developed to be used in the analysis of dE vs E type spectra. This program is written in FORTRAN and calculates dE vs E lines in MeV. The provision is also made in the program to convert these lines from MeV to ADC channel numbers to facilitate the comparison with the raw data from the experiments. Currently the output of this program can be plotted with the display program, called VISU, but it can also be used independent of the program VISU, with little or no modification in the actual fortran code. The program AUTO has many useful applications. In this article the program AUTO is described along with its applications

  7. Integrating address geocoding, land use regression, and spatiotemporal geostatistical estimation for groundwater tetrachloroethylene.

    Science.gov (United States)

    Messier, Kyle P; Akita, Yasuyuki; Serre, Marc L

    2012-03-06

    Geographic information systems (GIS) based techniques are cost-effective and efficient methods used by state agencies and epidemiology researchers for estimating concentration and exposure. However, budget limitations have made statewide assessments of contamination difficult, especially in groundwater media. Many studies have implemented address geocoding, land use regression, and geostatistics independently, but this is the first to examine the benefits of integrating these GIS techniques to address the need of statewide exposure assessments. A novel framework for concentration exposure is introduced that integrates address geocoding, land use regression (LUR), below detect data modeling, and Bayesian Maximum Entropy (BME). A LUR model was developed for tetrachloroethylene that accounts for point sources and flow direction. We then integrate the LUR model into the BME method as a mean trend while also modeling below detects data as a truncated Gaussian probability distribution function. We increase available PCE data 4.7 times from previously available databases through multistage geocoding. The LUR model shows significant influence of dry cleaners at short ranges. The integration of the LUR model as mean trend in BME results in a 7.5% decrease in cross validation mean square error compared to BME with a constant mean trend.

  8. Comprehensive Auto CAD

    International Nuclear Information System (INIS)

    Jang, Taekju

    1993-06-01

    This book starts introduction of conception, application system, software for CAD, function of Auto CAD, kinds and function of Auto CAD files. It deals with starting of Auto CAD, dialogue box and Auto CAD interface, utility command, 2D drawing command, check command, control system, dimension, hatching command, layer command, block, 3D drawing, plotting and printing, auto CAD and application of data, supply program of auto CAD, AME and region modeler, EDLIN, script optimization of Auto CAD and composition on demand.

  9. Strategic Alliance Decision-Making for the Auto Industry Base on an Integrate DEA and GM(1,1 Approach

    Directory of Open Access Journals (Sweden)

    Nan Wang

    2015-11-01

    Full Text Available Strategic alliance promotes enterprise resources sharing and enhances the competitiveness of the marketplace. Therefore, finding a mutually beneficial partner to make a strategic alliance is an important issue for various industries. The aim of this paper is to propose a suitable method based on Grey theory and Data Envelopment Analysis (DEA. A method predicts future business and measure operation efficiency, by the use of critical input and output variables. From this, firms can find out their appropriate candidates. This research was implemented with realistic public data from four consecutive financial years (2009-2012 of twenty Auto Manufactures. The study tries to help target firm find the right alliance partners. The results show the most priori candidates in recent years. The study will be of interest for managers of Auto Manufacture in utilizing alliance strategy.

  10. Second auto-SCT for treatment of relapsed multiple myeloma.

    Science.gov (United States)

    Gonsalves, W I; Gertz, M A; Lacy, M Q; Dispenzieri, A; Hayman, S R; Buadi, F K; Dingli, D; Hogan, W J; Kumar, S K

    2013-04-01

    High-dose therapy and auto-SCT remain integral in the initial treatment of multiple myeloma (MM), and are increasingly being applied for management of relapsed disease. We examined the outcomes in 98 patients undergoing salvage auto-SCT (auto-SCT2) for relapsed MM after receiving an initial transplant (auto-SCT1) between 1994 and 2009. The median age at auto-SCT2 was 60 years (range: 35-74). The median time between auto-SCT1 and auto-SCT2 was 46 months (range: 10-130). Treatment-related mortality was seen in 4%. The median PFS from auto-SCT2 was 10.3 (95% confidence interval (CI): 7-14) months and the median OS from auto-SCT2 was 33 months (95% CI: 28-51). In a multivariable analysis, shorter time to progression (TTP) after auto-SCT1, not achieving a CR after auto-SCT2, higher number of treatment regimens before auto-SCT2 and a higher plasma cell labeling index at auto-SCT2 predicted for shorter PFS. However, only a shorter TTP after auto-SCT1 predicted for a shorter OS post auto-SCT2. Hence, auto-SCT2 is an effective and feasible therapeutic option for MM patients relapsing after other treatments, especially in patients who had a TTP of at least 12 months after their auto-SCT1.

  11. Wind speed prediction using statistical regression and neural network

    Indian Academy of Sciences (India)

    Four different statistical techniques,viz.,curve fitting,Auto Regressive Integrated Moving Average Model (ARIMA),extrapolation with periodic function and Artificial Neural Networks (ANN)are employed to predict wind speed.These methods require wind speeds of previous hours as input.It has been found that wind speed can ...

  12. Integrative analysis of multiple diverse omics datasets by sparse group multitask regression

    Directory of Open Access Journals (Sweden)

    Dongdong eLin

    2014-10-01

    Full Text Available A variety of high throughput genome-wide assays enable the exploration of genetic risk factors underlying complex traits. Although these studies have remarkable impact on identifying susceptible biomarkers, they suffer from issues such as limited sample size and low reproducibility. Combining individual studies of different genetic levels/platforms has the promise to improve the power and consistency of biomarker identification. In this paper, we propose a novel integrative method, namely sparse group multitask regression, for integrating diverse omics datasets, platforms and populations to identify risk genes/factors of complex diseases. This method combines multitask learning with sparse group regularization, which will: 1 treat the biomarker identification in each single study as a task and then combine them by multitask learning; 2 group variables from all studies for identifying significant genes; 3 enforce sparse constraint on groups of variables to overcome the ‘small sample, but large variables’ problem. We introduce two sparse group penalties: sparse group lasso and sparse group ridge in our multitask model, and provide an effective algorithm for each model. In addition, we propose a significance test for the identification of potential risk genes. Two simulation studies are performed to evaluate the performance of our integrative method by comparing it with conventional meta-analysis method. The results show that our sparse group multitask method outperforms meta-analysis method significantly. In an application to our osteoporosis studies, 7 genes are identified as significant genes by our method and are found to have significant effects in other three independent studies for validation. The most significant gene SOD2 has been identified in our previous osteoporosis study involving the same expression dataset. Several other genes such as TREML2, HTR1E and GLO1 are shown to be novel susceptible genes for osteoporosis, as confirmed

  13. Projected Regression Methods for Inverting Fredholm Integrals: Formalism and Application to Analytical Continuation

    Science.gov (United States)

    Arsenault, Louis-Francois; Neuberg, Richard; Hannah, Lauren A.; Millis, Andrew J.

    We present a machine learning-based statistical regression approach to the inversion of Fredholm integrals of the first kind by studying an important example for the quantum materials community, the analytical continuation problem of quantum many-body physics. It involves reconstructing the frequency dependence of physical excitation spectra from data obtained at specific points in the complex frequency plane. The approach provides a natural regularization in cases where the inverse of the Fredholm kernel is ill-conditioned and yields robust error metrics. The stability of the forward problem permits the construction of a large database of input-output pairs. Machine learning methods applied to this database generate approximate solutions which are projected onto the subspace of functions satisfying relevant constraints. We show that for low input noise the method performs as well or better than Maximum Entropy (MaxEnt) under standard error metrics, and is substantially more robust to noise. We expect the methodology to be similarly effective for any problem involving a formally ill-conditioned inversion, provided that the forward problem can be efficiently solved. AJM was supported by the Office of Science of the U.S. Department of Energy under Subcontract No. 3F-3138 and LFA by the Columbia Univeristy IDS-ROADS project, UR009033-05 which also provided part support to RN and LH.

  14. An integrated study of surface roughness in EDM process using regression analysis and GSO algorithm

    Science.gov (United States)

    Zainal, Nurezayana; Zain, Azlan Mohd; Sharif, Safian; Nuzly Abdull Hamed, Haza; Mohamad Yusuf, Suhaila

    2017-09-01

    The aim of this study is to develop an integrated study of surface roughness (Ra) in the die-sinking electrical discharge machining (EDM) process of Ti-6AL-4V titanium alloy with positive polarity of copper-tungsten (Cu-W) electrode. Regression analysis and glowworm swarm optimization (GSO) algorithm were considered for modelling and optimization process. Pulse on time (A), pulse off time (B), peak current (C) and servo voltage (D) were selected as the machining parameters with various levels. The experiments have been conducted based on the two levels of full factorial design with an added center point design of experiments (DOE). Moreover, mathematical models with linear and 2 factor interaction (2FI) effects of the parameters chosen were developed. The validity test of the fit and the adequacy of the developed mathematical models have been carried out by using analysis of variance (ANOVA) and F-test. The statistical analysis showed that the 2FI model outperformed with the most minimal value of Ra compared to the linear model and experimental result.

  15. An integrated approach to analyze strategy map using BSC – FUZZY AHP: A case study of auto industry

    Directory of Open Access Journals (Sweden)

    Mohammad Abdolshah

    2012-04-01

    Full Text Available In an environment, which is highly competitive and everything changes rapidly, managers of organizations face with problems such as how to identify important factors preventing organizations from optimum use of available resources and capacities and invest more on key factors. To achieve this goal, we need to develop an effective strategy map for organizations. The strategy map is a constructional and expanding procedure to identify relationships among all the organization's strategic goals, which play a key role in achieving competitive advantage. Undoubtedly, representing a model to identify and to evaluate the important items for each of available goals in strategy map of each organization is a significant help for management to access higher competition benefits. In this paper, strategic objectives in the strategy map of one of the best producer of electric auto part makers in Iran called Electric Vehicle Co. East are evaluated based on balanced score card perspective and to assign appropriate values to available factors we use a hybrid method consist of AHP technique with Fuzzy logic.

  16. Integrating travel behavior with land use regression to estimate dynamic air pollution exposure in Hong Kong.

    Science.gov (United States)

    Tang, Robert; Tian, Linwei; Thach, Thuan-Quoc; Tsui, Tsz Him; Brauer, Michael; Lee, Martha; Allen, Ryan; Yuchi, Weiran; Lai, Poh-Chin; Wong, Paulina; Barratt, Benjamin

    2018-04-01

    Epidemiological studies typically use subjects' residential address to estimate individuals' air pollution exposure. However, in reality this exposure is rarely static as people move from home to work/study locations and commute during the day. Integrating mobility and time-activity data may reduce errors and biases, thereby improving estimates of health risks. To incorporate land use regression with movement and building infiltration data to estimate time-weighted air pollution exposures stratified by age, sex, and employment status for population subgroups in Hong Kong. A large population-representative survey (N = 89,385) was used to characterize travel behavior, and derive time-activity pattern for each subject. Infiltration factors calculated from indoor/outdoor monitoring campaigns were used to estimate micro-environmental concentrations. We evaluated dynamic and static (residential location-only) exposures in a staged modeling approach to quantify effects of each component. Higher levels of exposures were found for working adults and students due to increased mobility. Compared to subjects aged 65 or older, exposures to PM 2.5 , BC, and NO 2 were 13%, 39% and 14% higher, respectively for subjects aged below 18, and 3%, 18% and 11% higher, respectively for working adults. Exposures of females were approximately 4% lower than those of males. Dynamic exposures were around 20% lower than ambient exposures at residential addresses. The incorporation of infiltration and mobility increased heterogeneity in population exposure and allowed identification of highly exposed groups. The use of ambient concentrations may lead to exposure misclassification which introduces bias, resulting in lower effect estimates than 'true' exposures. Copyright © 2018 Elsevier Ltd. All rights reserved.

  17. Integration of least angle regression with empirical Bayes for multi-locus genome-wide association studies

    Science.gov (United States)

    Multi-locus genome-wide association studies has become the state-of-the-art procedure to identify quantitative trait loci (QTL) associated with traits simultaneously. However, implementation of multi-locus model is still difficult. In this study, we integrated least angle regression with empirical B...

  18. An Integrated Approach to Battery Health Monitoring using Bayesian Regression, Classification and State Estimation

    Data.gov (United States)

    National Aeronautics and Space Administration — The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to...

  19. Auto-consistent test of Galaxy star formation histories derived from resolved stellar population and integral spectroscopy

    Science.gov (United States)

    Rodrigues, M.; Patricio, V.; Rothberg, B.; Sanchez-Janssen, R.; Vale Asari, N.

    We present the first results of our observational project 'Starfish' (STellar Population From Integrated Spectrum). The goal of this project is to calibrate, for the first time, the properties of stellar populations derived from integrated spectra with the same properties derived from direct imaging of stellar populations in the same set of galaxies. These properties include the star-formation history (SFH), stellar mass, age, and metallicity. To date, such calibrations have been demonstrated only in star clusters, globular clusters with single stellar populations, not in complex and composite objects such as galaxies. We are currently constructing a library of integrated spectra obtained from a sample of 38 nearby dwarf galaxies obtained with GEMINI/GMOS-N&S (25h) and VLT/VIMOS-IFU (43h). These are to be compared with color magnitude diagrams (CMDs) of the same galaxies constructed from archival HST imaging sensitive to at least 1.5 magnitudes below the tip of the red giant branch. From this comparison we will assess the systematics and uncertainties from integrated spectral techniques. The spectra library will be made publicly available to the community via a dedicated web-page and Vizier database. This dataset will provide a unique benchmark for testing fitting procedures and stellar population models for both nearby and distant galaxies. http://www.sc.eso.org/˜marodrig/Starfish/

  20. Least square regression based integrated multi-parameteric demand modeling for short term load forecasting

    International Nuclear Information System (INIS)

    Halepoto, I.A.; Uqaili, M.A.

    2014-01-01

    Nowadays, due to power crisis, electricity demand forecasting is deemed an important area for socioeconomic development and proper anticipation of the load forecasting is considered essential step towards efficient power system operation, scheduling and planning. In this paper, we present STLF (Short Term Load Forecasting) using multiple regression techniques (i.e. linear, multiple linear, quadratic and exponential) by considering hour by hour load model based on specific targeted day approach with temperature variant parameter. The proposed work forecasts the future load demand correlation with linear and non-linear parameters (i.e. considering temperature in our case) through different regression approaches. The overall load forecasting error is 2.98% which is very much acceptable. From proposed regression techniques, Quadratic Regression technique performs better compared to than other techniques because it can optimally fit broad range of functions and data sets. The work proposed in this paper, will pave a path to effectively forecast the specific day load with multiple variance factors in a way that optimal accuracy can be maintained. (author)

  1. Easy Auto CAD

    International Nuclear Information System (INIS)

    Lee, Hyeon Jun

    1996-02-01

    This book explains Auto CAD easily, which introduces improved function in Auto CAD R 13, such as direct import and export of 3 DS pile, revised render order structure, and explanations of assist, view Draw, construct and modify. Next it gives descriptions of Auto CAD conception, application and system. The last part deals with line, arc, circle, ellipse, erase, undo, redo, redraw, line type, multi line, limits, zoom, move, copy, rotate, array, mirror, grid, snap, units, offset and poly line.

  2. Precision Interval Estimation of the Response Surface by Means of an Integrated Algorithm of Neural Network and Linear Regression

    Science.gov (United States)

    Lo, Ching F.

    1999-01-01

    The integration of Radial Basis Function Networks and Back Propagation Neural Networks with the Multiple Linear Regression has been accomplished to map nonlinear response surfaces over a wide range of independent variables in the process of the Modem Design of Experiments. The integrated method is capable to estimate the precision intervals including confidence and predicted intervals. The power of the innovative method has been demonstrated by applying to a set of wind tunnel test data in construction of response surface and estimation of precision interval.

  3. Integrating classification trees with local logistic regression in Intensive Care prognosis.

    Science.gov (United States)

    Abu-Hanna, Ameen; de Keizer, Nicolette

    2003-01-01

    Health care effectiveness and efficiency are under constant scrutiny especially when treatment is quite costly as in the Intensive Care (IC). Currently there are various international quality of care programs for the evaluation of IC. At the heart of such quality of care programs lie prognostic models whose prediction of patient mortality can be used as a norm to which actual mortality is compared. The current generation of prognostic models in IC are statistical parametric models based on logistic regression. Given a description of a patient at admission, these models predict the probability of his or her survival. Typically, this patient description relies on an aggregate variable, called a score, that quantifies the severity of illness of the patient. The use of a parametric model and an aggregate score form adequate means to develop models when data is relatively scarce but it introduces the risk of bias. This paper motivates and suggests a method for studying and improving the performance behavior of current state-of-the-art IC prognostic models. Our method is based on machine learning and statistical ideas and relies on exploiting information that underlies a score variable. In particular, this underlying information is used to construct a classification tree whose nodes denote patient sub-populations. For these sub-populations, local models, most notably logistic regression ones, are developed using only the total score variable. We compare the performance of this hybrid model to that of a traditional global logistic regression model. We show that the hybrid model not only provides more insight into the data but also has a better performance. We pay special attention to the precision aspect of model performance and argue why precision is more important than discrimination ability.

  4. Integrating Technology in the Classroom: Factors That Account for Teachers' Regressive Developmental Trajectories

    Science.gov (United States)

    Looi, Chee-Kit; Chen, Wenli; Chen, Fang-Hao

    2014-01-01

    In this article, we studied the developmental trajectories of three teachers as they integrated GroupScribbles (GS) technology in their classroom lessons over a semester period of about 5 months. Coherency diagrams were used to capture the complex interplay of a teacher's knowledge (K), goals (G) and beliefs (B) in leveraging technology…

  5. Research on data auto-analysis algorithms in the explosive detection system

    International Nuclear Information System (INIS)

    Wang Haidong; Li Yuanjing; Yang Yigang; Li Tiezhu; Chen Boxian; Cheng Jianping

    2006-01-01

    This paper mainly describe some auto-analysis algorithms in explosive detection system with TNA method. These include the auto-calibration algorithm when disturbed by other factors, MCA auto-calibration algorithm with calibrated spectrum, the auto-fitting and integral of hydrogen and nitrogen elements data. With these numerical algorithms, the authors can automatically and precisely analysis the gamma-spectra and ultimately achieve the explosive auto-detection. (authors)

  6. Auto Mechanics: Auto Mechanic Service Specialist (Lubrication).

    Science.gov (United States)

    Hoover, Virgil

    The unit of individualized learning activities is designed to provide training in the job skill, lubrication, for the prospective auto mechanic service specialist. The materials in the unit are divided into two sections. The developmental, or preliminary phase, for use by the instructor, includes brief descriptions of the job and of the student…

  7. Retrospective feasibility study of simultaneous integrated boost in cervical cancer using tomotherapy: the impact of organ motion and tumor regression

    Directory of Open Access Journals (Sweden)

    Herrera Fernanda G

    2013-01-01

    Full Text Available Abstract Background Whole pelvis intensity modulated radiotherapy (IMRT is increasingly being used to treat cervical cancer aiming to reduce side effects. Encouraged by this, some groups have proposed the use of simultaneous integrated boost (SIB to target the tumor, either to get a higher tumoricidal effect or to replace brachytherapy. Nevertheless, physiological organ movement and rapid tumor regression throughout treatment might substantially reduce any benefit of this approach. Purpose To evaluate the clinical target volume - simultaneous integrated boost (CTV-SIB regression and motion during chemo-radiotherapy (CRT for cervical cancer, and to monitor treatment progress dosimetrically and volumetrically to ensure treatment goals are met. Methods and materials Ten patients treated with standard doses of CRT and brachytherapy were retrospectively re-planned using a helical Tomotherapy - SIB technique for the hypothetical scenario of this feasibility study. Target and organs at risk (OAR were contoured on deformable fused planning-computed tomography and megavoltage computed tomography images. The CTV-SIB volume regression was determined. The center of mass (CM was used to evaluate the degree of motion. The Dice’s similarity coefficient (DSC was used to assess the spatial overlap of CTV-SIBs between scans. A cumulative dose-volume histogram modeled estimated delivered doses. Results The CTV-SIB relative reduction was between 31 and 70%. The mean maximum CM change was 12.5, 9, and 3 mm in the superior-inferior, antero-posterior, and right-left dimensions, respectively. The CTV-SIB-DSC approached 1 in the first week of treatment, indicating almost perfect overlap. CTV-SIB-DSC regressed linearly during therapy, and by the end of treatment was 0.5, indicating 50% discordance. Two patients received less than 95% of the prescribed dose. Much higher doses to the OAR were observed. A multiple regression analysis showed a significant interaction

  8. Retrospective feasibility study of simultaneous integrated boost in cervical cancer using tomotherapy: the impact of organ motion and tumor regression

    International Nuclear Information System (INIS)

    Herrera, Fernanda G; Ozsahin, Mahmut; Callaway, Sharon; Delikgoz-Soykut, Ela; Coskun, Mehtap; Porta, Laetitia; Meuwly, Jean-Yves; Soares-Rodrigues, Joao; Heym, Leonie; Moeckli, Raphael

    2013-01-01

    Whole pelvis intensity modulated radiotherapy (IMRT) is increasingly being used to treat cervical cancer aiming to reduce side effects. Encouraged by this, some groups have proposed the use of simultaneous integrated boost (SIB) to target the tumor, either to get a higher tumoricidal effect or to replace brachytherapy. Nevertheless, physiological organ movement and rapid tumor regression throughout treatment might substantially reduce any benefit of this approach. To evaluate the clinical target volume - simultaneous integrated boost (CTV-SIB) regression and motion during chemo-radiotherapy (CRT) for cervical cancer, and to monitor treatment progress dosimetrically and volumetrically to ensure treatment goals are met. Ten patients treated with standard doses of CRT and brachytherapy were retrospectively re-planned using a helical Tomotherapy - SIB technique for the hypothetical scenario of this feasibility study. Target and organs at risk (OAR) were contoured on deformable fused planning-computed tomography and megavoltage computed tomography images. The CTV-SIB volume regression was determined. The center of mass (CM) was used to evaluate the degree of motion. The Dice’s similarity coefficient (DSC) was used to assess the spatial overlap of CTV-SIBs between scans. A cumulative dose-volume histogram modeled estimated delivered doses. The CTV-SIB relative reduction was between 31 and 70%. The mean maximum CM change was 12.5, 9, and 3 mm in the superior-inferior, antero-posterior, and right-left dimensions, respectively. The CTV-SIB-DSC approached 1 in the first week of treatment, indicating almost perfect overlap. CTV-SIB-DSC regressed linearly during therapy, and by the end of treatment was 0.5, indicating 50% discordance. Two patients received less than 95% of the prescribed dose. Much higher doses to the OAR were observed. A multiple regression analysis showed a significant interaction between CTV-SIB reduction and OAR dose increase. The CTV-SIB had important

  9. AutoCAD workbook

    CERN Document Server

    Metherell, Phil

    1989-01-01

    AutoCAD Workbook helps new users learn the basics of AutoCad, providing guidance on most of the commonly used functions in which the program operates.This book discusses loading AutoCad and starting a drawing; drawing and erasing lines, circles, and arcs; and setting up the drawing environment. The topics on drawing and editing polylines; entering text and text styles; and layers, linetype, and color are also considered. This publication likewise covers creating and using blocks, hatching and extracting information, dimensioning drawings, 3D visualization, and plotting a drawing. Other

  10. Auto immune hepatitis

    OpenAIRE

    van Gerven, Nicole MF; de Boer, Ynto S; Mulder, Chris JJ; van Nieuwkerk, Carin MJ; Bouma, Gerd

    2016-01-01

    To provide an update of the latest trends in epidemiology, clinical course, diagnostics, complications and treatment of auto immune hepatitis (AIH). A search of the MEDLINE database was performed using the search terms: “auto immune hepatitis”, “clinical presentation”, “symptoms”, “signs”, “diagnosis”, “auto antibodies”, “laboratory values”, “serology”, “histopathology”, “histology”, “genetics”, “HLA genes”, “non-HLA genes”, “environment”, “epidemiology”, “prevalence”, “incidence”, “demograph...

  11. Research on refugees and immigrants social integration in Yunnan Border Area: An empirical analysis on the multivariable linear regression model

    Directory of Open Access Journals (Sweden)

    Peng Nai

    2016-03-01

    Full Text Available A great number of immigration populations resident permanently in Yunnan Border Area of China. To some extent, these people belong to refugees or immigrants in accordance with International Rules, which significantly features the social diversity of this area. However, this kind of social diversity always impairs the social order. Therefore, there will be a positive influence to the local society governance by a research on local immigration integration. This essay hereby attempts to acquire the data of the living situation of these border area immigration and refugees. The analysis of the social integration of refugees and immigration in Yunnan border area in China will be deployed through the modeling of multivariable linear regression based on these data in order to propose some more achievable resolutions.

  12. Integrating principal component analysis and vector quantization with support vector regression for sulfur content prediction in HDS process

    Directory of Open Access Journals (Sweden)

    Shokri Saeid

    2015-01-01

    Full Text Available An accurate prediction of sulfur content is very important for the proper operation and product quality control in hydrodesulfurization (HDS process. For this purpose, a reliable data- driven soft sensors utilizing Support Vector Regression (SVR was developed and the effects of integrating Vector Quantization (VQ with Principle Component Analysis (PCA were studied on the assessment of this soft sensor. First, in pre-processing step the PCA and VQ techniques were used to reduce dimensions of the original input datasets. Then, the compressed datasets were used as input variables for the SVR model. Experimental data from the HDS setup were employed to validate the proposed integrated model. The integration of VQ/PCA techniques with SVR model was able to increase the prediction accuracy of SVR. The obtained results show that integrated technique (VQ-SVR was better than (PCA-SVR in prediction accuracy. Also, VQ decreased the sum of the training and test time of SVR model in comparison with PCA. For further evaluation, the performance of VQ-SVR model was also compared to that of SVR. The obtained results indicated that VQ-SVR model delivered the best satisfactory predicting performance (AARE= 0.0668 and R2= 0.995 in comparison with investigated models.

  13. Tagaotsitav "Auto" / Kristiina Vaarik

    Index Scriptorium Estoniae

    Vaarik, Kristiina

    2001-01-01

    Chris O'Connelli "Auto" Vanemuises, lavastaja Mark Babych. Etendusele tegid muusika ansamblist Bizarre tuntud muusikud Tristan Priimägi ja Lauri Liivak, kes artiklis sellest räägivad. Esietendus 2. detsembril 2000

  14. Application of Auto CAD

    International Nuclear Information System (INIS)

    Park, Yong Un; Kim, Geun Ho

    1989-05-01

    This book has introduction to use this book and explanation of application on Auto CAD, which includes, sub directories, batch files, robot wrist, design of standard paper, title block, robort weld room, robert wrist joint, PC board, plant sym, electro, PID, machines, robots, bubbles, plant, schema, Pid, plant assembly, robots, dim plant, PL-ASSM, plotting line weight control, symbol drawing joint, Auto CAD using script file, set up of workout · MNU, workout MNU, ACAD, LSP and workout · MNU.

  15. Application of Auto CAD 2000

    International Nuclear Information System (INIS)

    Kim, Hyeong Jun

    1999-11-01

    This book deals with basic of AutoCAD, beginning AutoCAD 2000, using design center of AutoCAD 2000, adding drawing element with design center, drawing lines, using 2D edit command, making layer, hatching, dimensioning, entering letters on the floor plan, making 3D object, practice of 3D command, edition of 3D object, making solid, rendering object, and using internet in AutoCAD 2000. This book is introduction of AutoCAD 2000 for beginner.

  16. PERI auto-tuning

    International Nuclear Information System (INIS)

    Bailey, D H; Williams, S; Chame, J; Chen, C; Hall, M; Dongarra, J; Moore, S; Seymour, K; You, H; Hollingsworth, J K; Tiwari, A; Hovland, P; Shin, J

    2008-01-01

    The enormous and growing complexity of today's high-end systems has increased the already significant challenges of obtaining high performance on equally complex scientific applications. Application scientists are faced with a daunting challenge in tuning their codes to exploit performance-enhancing architectural features. The Performance Engineering Research Institute (PERI) is working toward the goal of automating portions of the performance tuning process. This paper describes PERI's overall strategy for auto-tuning tools and recent progress in both building auto-tuning tools and demonstrating their success on kernels, some taken from large-scale applications

  17. AutoCAD

    DEFF Research Database (Denmark)

    Jensen, Henrik

    1998-01-01

    I 1998 var AutoCAD Arkitektskolens basale CAD-tilbud til de studerende. Kursets vægt ligger på konstruktion og strukturering af 3d-modeller og med udgangspunkt i dette, 2d-tegning. Kurset er opbygget over CAD Clasic skabelonen (se min forskning). Kompendiet kan bruges til selvstudium.......I 1998 var AutoCAD Arkitektskolens basale CAD-tilbud til de studerende. Kursets vægt ligger på konstruktion og strukturering af 3d-modeller og med udgangspunkt i dette, 2d-tegning. Kurset er opbygget over CAD Clasic skabelonen (se min forskning). Kompendiet kan bruges til selvstudium....

  18. AutoCAD

    DEFF Research Database (Denmark)

    Jensen, Henrik

    1998-01-01

    I 1998 var AutoCAD Arkitektskolens basale CAD-tilbud til de studerende. Kursets vægt ligger på konstruktion og strukturering af 3d-modeller og med udgangspunkt i dette, 2d-tegning. Kurset er opbygget over CAD Clasic skabelonen (se min forskning). Kompendiet kan bruges til selvstudium....

  19. The Durban Auto Cluster

    DEFF Research Database (Denmark)

    Lorentzen, Jochen; Robbins, Glen; Barnes, Justin

    2004-01-01

    The paper describes the formation of the Durban Auto Cluster in the context of trade liberalization. It argues that the improvement of operational competitiveness of firms in the cluster is prominently due to joint action. It tests this proposition by comparing the gains from cluster activities...

  20. AUTO-EXPANSIVE FLOW

    Science.gov (United States)

    Physics suggests that the interplay of momentum, continuity, and geometry in outward radial flow must produce density and concomitant pressure reductions. In other words, this flow is intrinsically auto-expansive. It has been proposed that this process is the key to understanding...

  1. AutoCAD 2014 and AutoCAD LT 2014

    CERN Document Server

    Gladfelter, Donnie

    2013-01-01

    A step-by-step tutorial introduction to AutoCAD As the only book to teach AutoCAD using a continuous tutorial which allows you to follow along sequentially or jump in at any exercise by downloading the drawing files, this Autodesk Official Press book is ideal for the AutoCAD novice. Industry expert and AutoCAD guru Donnie Gladfelter walks you through the powerful features of AutoCAD, provides you with a solid foundation of the basics, and shares the latest industry standards and techniques. The hands-on tutorial project inspired by real-world workflows that runs throughout the book

  2. An integrated fiber-optic probe combined with support vector regression for fast estimation of optical properties of turbid media.

    Science.gov (United States)

    Zhou, Yang; Fu, Xiaping; Ying, Yibin; Fang, Zhenhuan

    2015-06-23

    A fiber-optic probe system was developed to estimate the optical properties of turbid media based on spatially resolved diffuse reflectance. Because of the limitations in numerical calculation of radiative transfer equation (RTE), diffusion approximation (DA) and Monte Carlo simulations (MC), support vector regression (SVR) was introduced to model the relationship between diffuse reflectance values and optical properties. The SVR models of four collection fibers were trained by phantoms in calibration set with a wide range of optical properties which represented products of different applications, then the optical properties of phantoms in prediction set were predicted after an optimal searching on SVR models. The results indicated that the SVR model was capable of describing the relationship with little deviation in forward validation. The correlation coefficient (R) of reduced scattering coefficient μ'(s) and absorption coefficient μ(a) in the prediction set were 0.9907 and 0.9980, respectively. The root mean square errors of prediction (RMSEP) of μ'(s) and μ(a) in inverse validation were 0.411 cm(-1) and 0.338 cm(-1), respectively. The results indicated that the integrated fiber-optic probe system combined with SVR model were suitable for fast and accurate estimation of optical properties of turbid media based on spatially resolved diffuse reflectance. Copyright © 2015 Elsevier B.V. All rights reserved.

  3. Process modeling and optimization of industrial ethylene oxide reactor by integrating support vector regression and genetic algorithm

    Energy Technology Data Exchange (ETDEWEB)

    Kumar Lahiri, S.; Khalfe, N. [National Inst. of Technology, Durgapur, West Bengal (India). Dept. of Chemical Engineering

    2009-02-15

    Process modeling and optimization strategies that integrate support vector regression (SVR) with differential evolution were used to model and optimize the commercial catalytic process for ethylene oxide (EO). EO is produced commercially in a shell and tube type EO reactor by reacting oxygen and ethylene at high temperature and pressure in the presence of a silver-based catalyst. The oxidation of ethylene involves a main reaction producing EO and an undesirable side reaction producing carbon dioxide. In this study, a process model was developed using an SVR method and genetic algorithms (GAs) that maximize the process performance. The optimized solutions, when verified in an actual industrial plant, resulted in a significant improvement in the EO production rate and catalyst selectivity. In the SVR-GA approach, an SVR model was constructed for correlating process data comprising values of operating and performance variables. Next, model inputs describing process operating variables were optimized using GAs to maximize the process performance. The GA has some unique advantages over the commonly used gradient-based deterministic optimization algorithms. The major advantage of the SVR-GA strategy is that modeling and optimization can be conducted exclusively from the historic process data wherein the detailed knowledge of reaction mechanism or kinetics is not required. 14 refs., 5 tabs., 7 figs.

  4. The use of nonlinear regression analysis for integrating pollutant concentration measurements with atmospheric dispersion modeling for source term estimation

    International Nuclear Information System (INIS)

    Edwards, L.L.; Freis, R.P.; Peters, L.G.; Gudiksen, P.H.; Pitovranov, S.E.

    1993-01-01

    The accuracy associated with assessing the environmental consequences of an accidental release of radioactivity is highly dependent on the knowledge of the source term characteristics, which are generally poorly known. The development of an automated numerical technique that integrates the radiological measurements with atmospheric dispersion modeling for more accurate source term estimation is reported. Often, this process of parameter estimation is performed by an emergency response assessor, who takes an intelligent first guess at the model parameters, then, comparing the model results with whatever measurements are available, makes an intuitive, informed next guess of the model parameters. This process may be repeated any number of times until the assessor feels that the model results are reasonable in terms of the measured observations. A new approach, based on a nonlinear least-squares regression scheme coupled with the existing Atmospheric Release Advisory Capability three-dimensional atmospheric dispersion models, is to supplement the assessor's intuition with automated mathematical methods that do not significantly increase the response time of the existing predictive models. The viability of the approach is evaluated by estimation of the known SF 6 tracer release rates associated with the Mesoscale Atmospheric Transport Studies tracer experiments conducted at the Savannah River Laboratory during 1983. These 19 experiments resulted in 14 successful, separate tracer releases with sampling of the tracer plumes along the cross-plume arc situated ∼30 km from the release site

  5. Forecasting with Dynamic Regression Models

    CERN Document Server

    Pankratz, Alan

    2012-01-01

    One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed lag responses of output to input series and the auto correlation patterns of regression disturbance. It also includes six case studies.

  6. MS AutoCad

    DEFF Research Database (Denmark)

    Andersen, Michael Rye; Heinicke, Hugo

    1996-01-01

    Formålet med dette notat er at give en introduktion til tegning af et generalarrangement ved anvendelse af CAD-programmet AutoCAD. Generalarrangementets formål er at skabe en overskuelig præsentation af et skibsprojekt. Det skal gøres indenfor de rammer, som ligger til grund for praktiskprojekter......Formålet med dette notat er at give en introduktion til tegning af et generalarrangement ved anvendelse af CAD-programmet AutoCAD. Generalarrangementets formål er at skabe en overskuelig præsentation af et skibsprojekt. Det skal gøres indenfor de rammer, som ligger til grund...

  7. Auto immune hepatitis.

    Science.gov (United States)

    van Gerven, Nicole Mf; de Boer, Ynto S; Mulder, Chris Jj; van Nieuwkerk, Carin Mj; Bouma, Gerd

    2016-05-21

    To provide an update of the latest trends in epidemiology, clinical course, diagnostics, complications and treatment of auto immune hepatitis (AIH). A search of the MEDLINE database was performed using the search terms: "auto immune hepatitis", "clinical presentation", "symptoms", "signs", "diagnosis", "auto antibodies", "laboratory values", "serology", "histopathology", "histology", "genetics", "HLA genes", "non-HLA genes", "environment", "epidemiology", "prevalence", "incidence", "demographics", "complications", "HCC", "PBC", "PSC", "corticosteroid", "therapy", "treatment", "alternative treatment". English-language full-text articles and abstracts were considered. Articles included reviews, meta-analysis, prospective retrospective studies. No publication date restrictions were applied. AIH is an immune meditated progressive inflammatory liver disease that predominantly affects middle-aged females but may affect people of all ages. The clinical spectrum of AIH is wide, ranging from absent or mild symptoms to fulminant hepatic failure. The aetiology of AIH is still unknown, but is believed to occur as the consequence of an aberrant immune response towards an un-known trigger in a genetically susceptible host. In the absence of a gold standard, diagnosis is based on the combination of clinical, biochemical and histopathological criteria. Immunosuppressive treatment has been the cornerstone of treatment since the earliest description of the disease in 1950 by Waldenström. Such treatment is often successful at inducing remission and generally leads to normal life expectancy. Nevertheless, there remain significant areas of unmet aetiological a clinical needs including fundamental insight in disease pathogenesis, optimal therapy, duration of treatment and treatment alternatives in those patients unresponsive to standard treatment regimens.

  8. Myocarditis in auto-immune or auto-inflammatory diseases.

    Science.gov (United States)

    Comarmond, Cloé; Cacoub, Patrice

    2017-08-01

    Myocarditis is a major cause of heart disease in young patients and a common precursor of heart failure due to dilated cardiomyopathy. Some auto-immune and/or auto-inflammatory diseases may be accompanied by myocarditis, such as sarcoidosis, Behçet's disease, eosinophilic granulomatosis with polyangiitis, myositis, and systemic lupus erythematosus. However, data concerning myocarditis in such auto-immune and/or auto-inflammatory diseases are sparse. New therapeutic strategies should better target the modulation of the immune system, depending on the phase of the disease and the type of underlying auto-immune and/or auto-inflammatory disease. Copyright © 2017 Elsevier B.V. All rights reserved.

  9. AutoCAD / AutoCAD LT 2014 fundamentals metric

    CERN Document Server

    ASCENT center for technical knowledge

    2014-01-01

    The objective of AutoCAD/AutoCAD LT 2014 Fundamentals is to enable students to create a basic 2D drawing in the AutoCAD software. Even at this fundamental level, the AutoCAD software is one of the most sophisticated computer applications that you are likely to encounter. Therefore learning to use it can be challenging. To make the process easier and provide flexibility for instructors and students, the training guide is divided into two parts that can be taken independently.

  10. Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression

    DEFF Research Database (Denmark)

    Larsen, Klaus; Merlo, Juan

    2005-01-01

    The logistic regression model is frequently used in epidemiologic studies, yielding odds ratio or relative risk interpretations. Inspired by the theory of linear normal models, the logistic regression model has been extended to allow for correlated responses by introducing random effects. However......, the model does not inherit the interpretational features of the normal model. In this paper, the authors argue that the existing measures are unsatisfactory (and some of them are even improper) when quantifying results from multilevel logistic regression analyses. The authors suggest a measure...... regression. For this purpose, the authors propose an odds ratio measure, the interval odds ratio, that takes these difficulties into account. The authors demonstrate the two measures by investigating heterogeneity between neighborhoods and effects of neighborhood-level covariates in two examples...

  11. Easy Korean Auto CAD 14

    International Nuclear Information System (INIS)

    Lee, Jae Cheol

    1997-10-01

    This book introduces Auto CAD 14, which includes summary of basic things of Auto CAD 14, user interface for Auto CAD, basic drawing and advice, layer and set-up drawing, drawing with Auto CAD tools exactly, basic drawing of every thing, edit command, control of display, modeling and view ports of drawing space, various things drawing, writing letters, modification of floor plan, and check, block, X ref, lines and hatch, writing measurement, floor plan and OLE exchange of data, 3D floor plan, and rendering and presentation.

  12. Integrated analysis of DNA-methylation and gene expression using high-dimensional penalized regression: a cohort study on bone mineral density in postmenopausal women.

    Science.gov (United States)

    Lien, Tonje G; Borgan, Ørnulf; Reppe, Sjur; Gautvik, Kaare; Glad, Ingrid Kristine

    2018-03-07

    Using high-dimensional penalized regression we studied genome-wide DNA-methylation in bone biopsies of 80 postmenopausal women in relation to their bone mineral density (BMD). The women showed BMD varying from severely osteoporotic to normal. Global gene expression data from the same individuals was available, and since DNA-methylation often affects gene expression, the overall aim of this paper was to include both of these omics data sets into an integrated analysis. The classical penalized regression uses one penalty, but we incorporated individual penalties for each of the DNA-methylation sites. These individual penalties were guided by the strength of association between DNA-methylations and gene transcript levels. DNA-methylations that were highly associated to one or more transcripts got lower penalties and were therefore favored compared to DNA-methylations showing less association to expression. Because of the complex pathways and interactions among genes, we investigated both the association between DNA-methylations and their corresponding cis gene, as well as the association between DNA-methylations and trans-located genes. Two integrating penalized methods were used: first, an adaptive group-regularized ridge regression, and secondly, variable selection was performed through a modified version of the weighted lasso. When information from gene expressions was integrated, predictive performance was considerably improved, in terms of predictive mean square error, compared to classical penalized regression without data integration. We found a 14.7% improvement in the ridge regression case and a 17% improvement for the lasso case. Our version of the weighted lasso with data integration found a list of 22 interesting methylation sites. Several corresponded to genes that are known to be important in bone formation. Using BMD as response and these 22 methylation sites as covariates, least square regression analyses resulted in R 2 =0.726, comparable to an

  13. Integrated impact of radiation in the zone of ChNPP on the auto flora state of the animals' large in testiness

    International Nuclear Information System (INIS)

    Zagorujko, E.E.; Panchenko, N.A.; Filimonova, I.S.; Yakimenko, A.I.

    1994-01-01

    The state of microbiocenosis of large intestines of rats and furae which were exposed to continuous integrated radiation has been studied in the field experiments emergency premises and in the adjacent zone of its impact

  14. Auto-fotografi som metode

    DEFF Research Database (Denmark)

    Mogensen, Mette

    2014-01-01

    Artiklen sætter fokus på auto-fotografi som metode i arbejdsmiljøforskningen. Den organisationsæstetiske tilgang, som metoden ofte forbindes med, udfordres med afsæt i en performativ og aktørnetværks-teoretisk position. Gennem en analyse af et enkelt auto-fotografi vises hvordan en artikulation af...

  15. Automatic detection of AutoPEEP during controlled mechanical ventilation

    Directory of Open Access Journals (Sweden)

    Nguyen Quang-Thang

    2012-06-01

    Full Text Available Abstract Background Dynamic hyperinflation, hereafter called AutoPEEP (auto-positive end expiratory pressure with some slight language abuse, is a frequent deleterious phenomenon in patients undergoing mechanical ventilation. Although not readily quantifiable, AutoPEEP can be recognized on the expiratory portion of the flow waveform. If expiratory flow does not return to zero before the next inspiration, AutoPEEP is present. This simple detection however requires the eye of an expert clinician at the patient’s bedside. An automatic detection of AutoPEEP should be helpful to optimize care. Methods In this paper, a platform for automatic detection of AutoPEEP based on the flow signal available on most of recent mechanical ventilators is introduced. The detection algorithms are developed on the basis of robust non-parametric hypothesis testings that require no prior information on the signal distribution. In particular, two detectors are proposed: one is based on SNT (Signal Norm Testing and the other is an extension of SNT in the sequential framework. The performance assessment was carried out on a respiratory system analog and ex-vivo on various retrospectively acquired patient curves. Results The experiment results have shown that the proposed algorithm provides relevant AutoPEEP detection on both simulated and real data. The analysis of clinical data has shown that the proposed detectors can be used to automatically detect AutoPEEP with an accuracy of 93% and a recall (sensitivity of 90%. Conclusions The proposed platform provides an automatic early detection of AutoPEEP. Such functionality can be integrated in the currently used mechanical ventilator for continuous monitoring of the patient-ventilator interface and, therefore, alleviate the clinician task.

  16. Designing for auto safety

    Science.gov (United States)

    Driver, E. T.

    1971-01-01

    Safety design features in the motor vehicle and highway construction fields result from systems analysis approach to prevent or lessen death, injury, and property damage results. Systems analysis considers the prevention of crashes, increased survivability in crashes, and prompt medical attention to injuries as well as other postcrash salvage measures. The interface of these system elements with the driver, the vehicle, and the environment shows that action on the vehicle system produces the greatest safety payoff through design modifications. New and amended safety standards developed through hazard analysis technique improved accident statistics in the 70'; these regulations include driver qualifications and countermeasures to identify the chronic drunken driver who is involved in more than two-thirds of all auto deaths.

  17. The Impact of Integrated Practices of Lean, Green, and Social Management Systems on Firm Sustainability Performance—Evidence from Chinese Fashion Auto-Parts Suppliers

    Directory of Open Access Journals (Sweden)

    Lin Wu

    2015-03-01

    Full Text Available To better satisfy various stakeholders, firms are seeking integrated practices that can enhance their sustainability performance, also well known as the Triple Bottom Line (3BL. The fashion industry exhibits potential conflicts with the spirit of sustainability because of the waste created by high levels of demand uncertainty and the extant usage of resources in production. Literature suggests that selected stand-alone practices of lean, green, and Corporate Social Responsibility (CSR management systems have a positive impact on firm sustainability performance. However, how the combination of selected practices from these three management systems impacts the 3BL remains unclear. Based on case studies, we build an integrated sustainable practices model incorporating the most popular lean, green, and social practices and develop propositions for future tests. Our framework suggests the implementation of integrated practices would have a stronger influence on 3BL performance than individual practice implementation.

  18. Soft sensor development and optimization of the commercial petrochemical plant integrating support vector regression and genetic algorithm

    Directory of Open Access Journals (Sweden)

    S.K. Lahiri

    2009-09-01

    Full Text Available Soft sensors have been widely used in the industrial process control to improve the quality of the product and assure safety in the production. The core of a soft sensor is to construct a soft sensing model. This paper introduces support vector regression (SVR, a new powerful machine learning methodbased on a statistical learning theory (SLT into soft sensor modeling and proposes a new soft sensing modeling method based on SVR. This paper presents an artificial intelligence based hybrid soft sensormodeling and optimization strategies, namely support vector regression – genetic algorithm (SVR-GA for modeling and optimization of mono ethylene glycol (MEG quality variable in a commercial glycol plant. In the SVR-GA approach, a support vector regression model is constructed for correlating the process data comprising values of operating and performance variables. Next, model inputs describing the process operating variables are optimized using genetic algorithm with a view to maximize the process performance. The SVR-GA is a new strategy for soft sensor modeling and optimization. The major advantage of the strategies is that modeling and optimization can be conducted exclusively from the historic process data wherein the detailed knowledge of process phenomenology (reaction mechanism, kinetics etc. is not required. Using SVR-GA strategy, a number of sets of optimized operating conditions were found. The optimized solutions, when verified in an actual plant, resulted in a significant improvement in the quality.

  19. Multivariate Regression Approach To Integrate Multiple Satellite And Tide Gauge Data For Real Time Sea Level Prediction

    DEFF Research Database (Denmark)

    Cheng, Yongcun; Andersen, Ole Baltazar; Knudsen, Per

    2010-01-01

    of GMES marine core service. One such added value will be a multivariate regression model of sea level variability of multisatellite and in-situ tide gauge observations with the aim at improved future high spatial and temporal sea level prediction for i.e., human safety. Tide gauges and satellite...... altimetry data from the last seventeen years have been compared for an area around UK and temporal correlation coefficients between them were calculated. The results are extremely encouraging, as we have shown that the detided signal from response method correlates to more than 90% for nearly all tide gauge...

  20. AutoCAD 2014 essentials

    CERN Document Server

    Onstott, Scott

    2013-01-01

    Learn crucial AutoCAD tools and techniques with this Autodesk Official Press Book Quickly become productive using AutoCAD 2014 and AutoCAD LT 2014 with this full color Autodesk Official Press guide. This unique learning resource features concise, straightforward explanations and real-world, hands-on exercises and tutorials. Following a quick discussion of concepts and goals, each chapter moves on to an approachable hands-on exercise designed to reinforce real-world tactics and techniques. Compelling, full-color screenshots illustrate tutorial steps, and chapters conclude with relat

  1. Sajandi Auto / Willem J. Staat

    Index Scriptorium Estoniae

    Staat, Willem J.

    1998-01-01

    Näitus 'Car of the Century' toimus 27. juunist 5. juulini Amsterdamis, 21. augustist 7. septembrini Torontos. Edasi liigub näitus Pariisi, Melbourne'i ja Lissaboni. Võistluse korraldusest. Lõplikult selgitatakse Sajandi Auto 4. detsembril 1999.

  2. PERCEPÇÃO DA AUTO-IMAGEM E SATISFAÇÃO CORPORAL EM ADOLESCENTES: PERSPECTIVA DO CUIDADO INTEGRAL NA ENFERMAGEM

    Directory of Open Access Journals (Sweden)

    Cecília Nogueira Valença

    2009-01-01

    Full Text Available Este estudio tiene como objetivo reflexionar sobre la percepción de la autoimagen corporal en el contexto de la adolescencia y la inserción de la enfermería desde una perspectiva integral sobre esta temática. La revisión de la literatura comprobó que los adolescentes viven una etapa de transición, en la cual presentan una serie de transformaciones de tipo biológico, psíquico, emocional y social que se reflejarán en la edad adulta. En ese proceso de construcción de su identidad se insiere su percepción corporal, involucrando la satisfacción con su propia imagen y la insatisfacción con sus aparentes imperfecciones físicas. Se concluye que es importante que el enfermero actúe, igualmente, en la satisfacción de la propia imagen corporal del adolescente, al mismo tiempo que interviene en los demás aspectos relacionados a la salud del individuo, para tener de hecho su enfoque integral.

  3. Esma Auto ja Mazda on loodud kestma

    Index Scriptorium Estoniae

    2003-01-01

    Ülevaade olulisematest sündmustest Esma Auto kümne tegevusaasta jooksul. Kommenteerivad Tarmo Järvoja, Mart Laar ja Enn Sau. Diagrammid ja skeemid: AS Esma Auto müügi statistika läbi aastate; AS Esma Auto kasum ja klientide arv aastate lõikes; Esma Auto esindused Eestis ja pakutavad teenused

  4. Logistic Regression

    Science.gov (United States)

    Grégoire, G.

    2014-12-01

    The logistic regression originally is intended to explain the relationship between the probability of an event and a set of covariables. The model's coefficients can be interpreted via the odds and odds ratio, which are presented in introduction of the chapter. The observations are possibly got individually, then we speak of binary logistic regression. When they are grouped, the logistic regression is said binomial. In our presentation we mainly focus on the binary case. For statistical inference the main tool is the maximum likelihood methodology: we present the Wald, Rao and likelihoods ratio results and their use to compare nested models. The problems we intend to deal with are essentially the same as in multiple linear regression: testing global effect, individual effect, selection of variables to build a model, measure of the fitness of the model, prediction of new values… . The methods are demonstrated on data sets using R. Finally we briefly consider the binomial case and the situation where we are interested in several events, that is the polytomous (multinomial) logistic regression and the particular case of ordinal logistic regression.

  5. Landslide susceptibility mapping using decision-tree based CHi-squared automatic interaction detection (CHAID) and Logistic regression (LR) integration

    International Nuclear Information System (INIS)

    Althuwaynee, Omar F; Pradhan, Biswajeet; Ahmad, Noordin

    2014-01-01

    This article uses methodology based on chi-squared automatic interaction detection (CHAID), as a multivariate method that has an automatic classification capacity to analyse large numbers of landslide conditioning factors. This new algorithm was developed to overcome the subjectivity of the manual categorization of scale data of landslide conditioning factors, and to predict rainfall-induced susceptibility map in Kuala Lumpur city and surrounding areas using geographic information system (GIS). The main objective of this article is to use CHi-squared automatic interaction detection (CHAID) method to perform the best classification fit for each conditioning factor, then, combining it with logistic regression (LR). LR model was used to find the corresponding coefficients of best fitting function that assess the optimal terminal nodes. A cluster pattern of landslide locations was extracted in previous study using nearest neighbor index (NNI), which were then used to identify the clustered landslide locations range. Clustered locations were used as model training data with 14 landslide conditioning factors such as; topographic derived parameters, lithology, NDVI, land use and land cover maps. Pearson chi-squared value was used to find the best classification fit between the dependent variable and conditioning factors. Finally the relationship between conditioning factors were assessed and the landslide susceptibility map (LSM) was produced. An area under the curve (AUC) was used to test the model reliability and prediction capability with the training and validation landslide locations respectively. This study proved the efficiency and reliability of decision tree (DT) model in landslide susceptibility mapping. Also it provided a valuable scientific basis for spatial decision making in planning and urban management studies

  6. Land Surface Temperature Retrieval from MODIS Data by Integrating Regression Models and the Genetic Algorithm in an Arid Region

    Directory of Open Access Journals (Sweden)

    Ji Zhou

    2014-06-01

    Full Text Available The land surface temperature (LST is one of the most important parameters of surface-atmosphere interactions. Methods for retrieving LSTs from satellite remote sensing data are beneficial for modeling hydrological, ecological, agricultural and meteorological processes on Earth’s surface. Many split-window (SW algorithms, which can be applied to satellite sensors with two adjacent thermal channels located in the atmospheric window between 10 μm and 12 μm, require auxiliary atmospheric parameters (e.g., water vapor content. In this research, the Heihe River basin, which is one of the most arid regions in China, is selected as the study area. The Moderate-resolution Imaging Spectroradiometer (MODIS is selected as a test case. The Global Data Assimilation System (GDAS atmospheric profiles of the study area are used to generate the training dataset through radiative transfer simulation. Significant correlations between the atmospheric upwelling radiance in MODIS channel 31 and the other three atmospheric parameters, including the transmittance in channel 31 and the transmittance and upwelling radiance in channel 32, are trained based on the simulation dataset and formulated with three regression models. Next, the genetic algorithm is used to estimate the LST. Validations of the RM-GA method are based on the simulation dataset generated from in situ measured radiosonde profiles and GDAS atmospheric profiles, the in situ measured LSTs, and a pair of daytime and nighttime MOD11A1 products in the study area. The results demonstrate that RM-GA has a good ability to estimate the LSTs directly from the MODIS data without any auxiliary atmospheric parameters. Although this research is for local application in the Heihe River basin, the findings and proposed method can easily be extended to other satellite sensors and regions with arid climates and high elevations.

  7. StrAuto: automation and parallelization of STRUCTURE analysis.

    Science.gov (United States)

    Chhatre, Vikram E; Emerson, Kevin J

    2017-03-24

    Population structure inference using the software STRUCTURE has become an integral part of population genetic studies covering a broad spectrum of taxa including humans. The ever-expanding size of genetic data sets poses computational challenges for this analysis. Although at least one tool currently implements parallel computing to reduce computational overload of this analysis, it does not fully automate the use of replicate STRUCTURE analysis runs required for downstream inference of optimal K. There is pressing need for a tool that can deploy population structure analysis on high performance computing clusters. We present an updated version of the popular Python program StrAuto, to streamline population structure analysis using parallel computing. StrAuto implements a pipeline that combines STRUCTURE analysis with the Evanno Δ K analysis and visualization of results using STRUCTURE HARVESTER. Using benchmarking tests, we demonstrate that StrAuto significantly reduces the computational time needed to perform iterative STRUCTURE analysis by distributing runs over two or more processors. StrAuto is the first tool to integrate STRUCTURE analysis with post-processing using a pipeline approach in addition to implementing parallel computation - a set up ideal for deployment on computing clusters. StrAuto is distributed under the GNU GPL (General Public License) and available to download from http://strauto.popgen.org .

  8. Regression analysis of major environmental parameters support an enhanced bioremediation of conglomerate heavy metals using an integrated ecosystem

    Energy Technology Data Exchange (ETDEWEB)

    Ibeanusi, V.M.; Henneman, T.; Cash, D. [Spelman College, Atlanta, GA (United States)

    1995-12-31

    We have developed an integrated ecosystem that supports the on-site speciation, detoxification, and mobilization of conglomerate toxic heavy metals of As(III), CR(VI), Pb, and Se from contaminated soil and water. The observed ecosystem dynamics of laboratory simulated ponds generated a pH profile (3-8.5) and a redox condition (0.25 V) that supported the oxidation of H{sub 3}AsO{sub 3} to H{sub 2}AsO{sub 4}. The infrared analysis of spent media identified an arsonic acid. The Cr(VI), Pb{sup 2} and Se (as in selenite) were reduced to Cr(III), PbS, and Se{sub 0}. In addition, molecular studies have identified unique protein molecules (< 10 KD) that are associated in the bioremediation processes. In these studies, the presence of a resistant bacterium (MRS-1), and cyanobacteria were highly significant in the bioremediation and sequestering of the metal ions to the pond surface. These results may have implications in the treatment of mixed wastes often encountered in mining areas.

  9. Steganalysis of LSB Image Steganography using Multiple Regression and Auto Regressive (AR) Model

    OpenAIRE

    Souvik Bhattacharyya; Gautam Sanyal

    2011-01-01

    The staggering growth in communication technologyand usage of public domain channels (i.e. Internet) has greatly facilitated transfer of data. However, such open communication channelshave greater vulnerability to security threats causing unauthorizedin- formation access. Traditionally, encryption is used to realizethen communication security. However, important information is notprotected once decoded. Steganography is the art and science of communicating in a way which hides the existence o...

  10. AutoCAD 2015 and AutoCAD LT 2015

    CERN Document Server

    Gladfelter, Donnie

    2014-01-01

    Learn AutoCAD by example with this tutorial-based guide from Autodesk Official Press Whether you are just starting out or an experienced user wanting to brush up on your skills, this Autodesk Official Press book provides you with concise explanations, focused examples, and step-by-step instructions through a hands-on tutorial project that runs throughout the book. As you progress through the project, the book introduces you to the Microsoft Windows-based AutoCAD interface and then guides you through basic commands and creating drawings. A downloadable file is available from the website so that

  11. Auto-Generated Semantic Processing Services

    Science.gov (United States)

    Davis, Rodney; Hupf, Greg

    2009-01-01

    Auto-Generated Semantic Processing (AGSP) Services is a suite of software tools for automated generation of other computer programs, denoted cross-platform semantic adapters, that support interoperability of computer-based communication systems that utilize a variety of both new and legacy communication software running in a variety of operating- system/computer-hardware combinations. AGSP has numerous potential uses in military, space-exploration, and other government applications as well as in commercial telecommunications. The cross-platform semantic adapters take advantage of common features of computer- based communication systems to enforce semantics, messaging protocols, and standards of processing of streams of binary data to ensure integrity of data and consistency of meaning among interoperating systems. The auto-generation aspect of AGSP Services reduces development time and effort by emphasizing specification and minimizing implementation: In effect, the design, building, and debugging of software for effecting conversions among complex communication protocols, custom device mappings, and unique data-manipulation algorithms is replaced with metadata specifications that map to an abstract platform-independent communications model. AGSP Services is modular and has been shown to be easily integrable into new and legacy NASA flight and ground communication systems.

  12. AutoCAD 2010 For Dummies

    CERN Document Server

    Byrnes, David

    2009-01-01

    AutoCAD is the hot computer-aided design software known for both its powerful tools and its complexity. AutoCAD 2010 for Dummies is the bestselling guide that walks you through this complicated program so you can build complex 3D technical drawings, edit like a pro, enter new dimensions, and plot with style. AutoCAD 2010 for Dummies helps you navigate the program, use the AutoCAD Design Center, create a basic layout and work with dimension, and put your drawings on the Internet. You'll soon be setting up the AutoCAD environment, using the AutoCAD Ribbon, creating annotation and dimension drawi

  13. Linear regression

    CERN Document Server

    Olive, David J

    2017-01-01

    This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models. There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response trans...

  14. Fraktal Regress

    Directory of Open Access Journals (Sweden)

    Igor K. Kochanenko

    2013-01-01

    Full Text Available Procedures of construction of curve regress by criterion of the least fractals, i.e. the greatest probability of the sums of degrees of the least deviations measured intensity from their modelling values are proved. The exponent is defined as fractal dimension of a time number. The difference of results of a well-founded method and a method of the least squares is quantitatively estimated.

  15. Instant AutoIt scripting

    CERN Document Server

    Laso, Emilio Aristides de Fez

    2013-01-01

    Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant How-to guide, which provides concise and clear recipes for getting started with AutoIt.Instant AutoIt Scripting Essentials How-to is for beginners who wish to know more about automation and programming, system administration developers who intent to automate/manage clusters and servers, and for computer programmers who want to control any PC to create seamless automation apps.

  16. Hybrid support vector regression and autoregressive integrated moving average models improved by particle swarm optimization for property crime rates forecasting with economic indicators.

    Science.gov (United States)

    Alwee, Razana; Shamsuddin, Siti Mariyam Hj; Sallehuddin, Roselina

    2013-01-01

    Crimes forecasting is an important area in the field of criminology. Linear models, such as regression and econometric models, are commonly applied in crime forecasting. However, in real crimes data, it is common that the data consists of both linear and nonlinear components. A single model may not be sufficient to identify all the characteristics of the data. The purpose of this study is to introduce a hybrid model that combines support vector regression (SVR) and autoregressive integrated moving average (ARIMA) to be applied in crime rates forecasting. SVR is very robust with small training data and high-dimensional problem. Meanwhile, ARIMA has the ability to model several types of time series. However, the accuracy of the SVR model depends on values of its parameters, while ARIMA is not robust to be applied to small data sets. Therefore, to overcome this problem, particle swarm optimization is used to estimate the parameters of the SVR and ARIMA models. The proposed hybrid model is used to forecast the property crime rates of the United State based on economic indicators. The experimental results show that the proposed hybrid model is able to produce more accurate forecasting results as compared to the individual models.

  17. Bayesian logistic regression analysis

    NARCIS (Netherlands)

    Van Erp, H.R.N.; Van Gelder, P.H.A.J.M.

    2012-01-01

    In this paper we present a Bayesian logistic regression analysis. It is found that if one wishes to derive the posterior distribution of the probability of some event, then, together with the traditional Bayes Theorem and the integrating out of nuissance parameters, the Jacobian transformation is an

  18. L-arginine supplementation attenuates capillary regression without increasing integrated succinate dehydrogenase activity and VEGF expression in skeletal muscle during hindlimb unloading.

    Science.gov (United States)

    Uchida, Kensaku; Tanaka, Minoru; Kondo, Hiroyo; Ishihara, Akihiko; Fujino, Hidemi

    2016-10-01

    Decreased capillary number is observed in atrophied muscle. The change in capillary number is regulated by angiogenic factors. L-arginine enhances expression of endothelial nitric oxide synthase (eNOS), angiogenic factor, in skeletal muscle. Therefore, the aim of this study was to evaluate the effects of L-arginine supplementation on capillary regression during hindlimb unloading. Twenty-four male Wistar rats were divided into four treatment groups: (1) control, (2) L-arginine supplementation, (3) hindlimb unloading, and (4) hindlimb unloading with L-arginine supplementation. Hindlimb unloading resulted in a decrease of capillary-to-muscle fibre (C/F) ratio, eNOS expression, and integrated succinate dehydrogenase (SDH) activity. L-arginine supplementation attenuated the decrease in both eNOS expression and C/F ratio, although it did not increase integrated SDH activity in skeletal muscle. These results indicate that L-arginine supplementation is effective for maintaining capillary number in atrophied muscle, and that elevation of eNOS expression may be one mechanism associated with these responses.

  19. AutoCAD platform customization VBA

    CERN Document Server

    Ambrosius, Lee

    2015-01-01

    Boost productivity and streamline your workflow with expert AutoCAD: VBA programming instruction AutoCAD Platform Customization: VBA is the definitive guide to personalizing AutoCAD and the various programs that run on the AutoCAD platform, including AutoCAD Architecture, Civil 3D, Plant 3D, and more. Written by an Autodesk insider with years of customization and programming experience, this book features detailed discussions backed by real-world examples and easy-to-follow tutorials that illustrate each step in the personalization process. Readers gain expert guidance toward managing layout

  20. AutoCAD platform customization autolisp

    CERN Document Server

    Ambrosius, Lee

    2014-01-01

    Customize and personalize programs built on the AutoCAD platform AutoLISP is the key to unlocking the secrets of a more streamlined experience using industry leading software programs like AutoCAD, Civil 3D, Plant 3D, and more. AutoCAD Platform Customization: AutoLISP provides real-world examples that show you how to do everything from modifying graphical objects and reading and setting system variables to communicating with external programs. It also features a resources appendix and downloadable datasets and customization examples-tools that ensure swift and easy adoption. Find out how to r

  1. AutoCAD 2008 for dummies

    CERN Document Server

    Byrnes, David

    2007-01-01

    A gentle, humorous introduction to this fearsomely complex software that helps new users start creating 2D and 3D technical drawings right awayCovers the new features and enhancements in the latest AutoCAD version and provides coverage of AutoCAD LT, AutoCAD''s lower-cost siblingTopics covered include creating a basic layout, using AutoCAD DesignCenter, drawing and editing, working with dimensions, plotting, using blocks, adding text to drawings, and drawing on the InternetAutoCAD is the leading CAD software for architects, engineers, and draftspeople who need to create detailed 2D and 3D tech

  2. AutoCAD 2014 for dummies

    CERN Document Server

    Fane, Bill

    2013-01-01

    Find your way around AutoCAD 2014 with this full-color, For Dummies guide!Put away that pencil and paper and start putting the power of AutoCAD 2014 to work in your CAD projects and designs. From setting up your drawing environment to using text, dimensions, hatching, and more, this guide walks you through AutoCAD basics and provides you with a solid understanding of the latest CAD tools and techniques. You'll also benefit from the full-color illustrations that mirror exactly what you'll see on your AutoCAD 2014 screen and highlight the importance of AutoCAD's Mode

  3. [Stress and auto-immunity].

    Science.gov (United States)

    Delévaux, I; Chamoux, A; Aumaître, O

    2013-08-01

    The etiology of auto-immune disorders is multifactorial. Stress is probably a participating factor. Indeed, a high proportion of patients with auto-immune diseases report uncommon stress before disease onset or disease flare. The biological consequences of stress are increasingly well understood. Glucocorticoids and catecholamines released by hypothalamic-pituitary-adrenal axis during stress will alter the balance Th1/Th2 and the balance Th17/Treg. Stress impairs cellular immunity, decreases immune tolerance and stimulates humoral immunity exposing individuals to autoimmune disease among others. The treatment for autoimmune disease should include stress management. Copyright © 2012 Société nationale française de médecine interne (SNFMI). Published by Elsevier SAS. All rights reserved.

  4. AutoCAD platform customization user interface, AutoLISP, VBA, and beyond

    CERN Document Server

    Ambrosius, Lee

    2015-01-01

    Take control of AutoCAD to boost the speed, quality, and precision of your work Senior drafters and savvy users are increasingly taking AutoCAD customization out of the hands of system administrators, and taking control of their own workflow. In AutoCAD Platform Customization, Autodesk customization guru Lee Ambrosius walks you through a multitude of customization options using detailed tutorials and real-world examples applicable to AutoCAD, AutoCAD LT, Civil 3D, Plant 3D, and other programs built on the AutoCAD platform. By unleashing the full power of the software, you'll simplify and str

  5. Beyond long memory in heart rate variability: An approach based on fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity

    Science.gov (United States)

    Leite, Argentina; Paula Rocha, Ana; Eduarda Silva, Maria

    2013-06-01

    Heart Rate Variability (HRV) series exhibit long memory and time-varying conditional variance. This work considers the Fractionally Integrated AutoRegressive Moving Average (ARFIMA) models with Generalized AutoRegressive Conditional Heteroscedastic (GARCH) errors. ARFIMA-GARCH models may be used to capture and remove long memory and estimate the conditional volatility in 24 h HRV recordings. The ARFIMA-GARCH approach is applied to fifteen long term HRV series available at Physionet, leading to the discrimination among normal individuals, heart failure patients, and patients with atrial fibrillation.

  6. Ridge Regression Signal Processing

    Science.gov (United States)

    Kuhl, Mark R.

    1990-01-01

    The introduction of the Global Positioning System (GPS) into the National Airspace System (NAS) necessitates the development of Receiver Autonomous Integrity Monitoring (RAIM) techniques. In order to guarantee a certain level of integrity, a thorough understanding of modern estimation techniques applied to navigational problems is required. The extended Kalman filter (EKF) is derived and analyzed under poor geometry conditions. It was found that the performance of the EKF is difficult to predict, since the EKF is designed for a Gaussian environment. A novel approach is implemented which incorporates ridge regression to explain the behavior of an EKF in the presence of dynamics under poor geometry conditions. The basic principles of ridge regression theory are presented, followed by the derivation of a linearized recursive ridge estimator. Computer simulations are performed to confirm the underlying theory and to provide a comparative analysis of the EKF and the recursive ridge estimator.

  7. Auto-Interviewing, Auto-Ethnography and Critical Incident Methodology for Eliciting a Self-Conceptualised Worldview

    Directory of Open Access Journals (Sweden)

    Béatrice Boufoy-Bastick

    2004-01-01

    Full Text Available Knowing oneself has been an age-old humanistic concern for many western and oriental philosophers. The same concern is now shared by modern psychologists and anthropologists who seek to understand the "self" and others by eluci­dating their worldviews. This paper presents an auto-anthropological methodology which can ef­fec­tively elucidate one's worldview. This intro­spective qualitative methodology uses integratively three methodological processes, namely auto-inter­viewing, auto-ethnography and critical incident technique to elicit baseline cultural data. The paper reports on how this methodology was used to elicit my current worldview. It first explains how emic data were educed and rendered in emo­tionally enhanced narratives, which were then deconstructed to elicit the major recurring themes in the etic interpretive content analysis. To illus­trate this auto-anthropological methodology, two cultural life events have been used: a critical incident in Singapore and a consciousness raising process in Fiji. The first event revealed my own education ideology while the second made me realise my mitigated support for cultural diversity. URN: urn:nbn:de:0114-fqs0401371

  8. Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA and Generalized Regression Neural Network (GRNN in Forecasting Hepatitis Incidence in Heng County, China.

    Directory of Open Access Journals (Sweden)

    Wudi Wei

    Full Text Available Hepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic that could be useful for preventing this disease.The autoregressive integrated moving average (ARIMA model and the generalized regression neural network (GRNN model were used to fit the incidence data from the Heng County CDC (Center for Disease Control and Prevention from January 2005 to December 2012. Then, the ARIMA-GRNN hybrid model was developed. The incidence data from January 2013 to December 2013 were used to validate the models. Several parameters, including mean absolute error (MAE, root mean square error (RMSE, mean absolute percentage error (MAPE and mean square error (MSE, were used to compare the performance among the three models.The morbidity of hepatitis from Jan 2005 to Dec 2012 has seasonal variation and slightly rising trend. The ARIMA(0,1,2(1,1,112 model was the most appropriate one with the residual test showing a white noise sequence. The smoothing factor of the basic GRNN model and the combined model was 1.8 and 0.07, respectively. The four parameters of the hybrid model were lower than those of the two single models in the validation. The parameters values of the GRNN model were the lowest in the fitting of the three models.The hybrid ARIMA-GRNN model showed better hepatitis incidence forecasting in Heng County than the single ARIMA model and the basic GRNN model. It is a potential decision-supportive tool for controlling hepatitis in Heng County.

  9. Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China.

    Science.gov (United States)

    Wei, Wudi; Jiang, Junjun; Liang, Hao; Gao, Lian; Liang, Bingyu; Huang, Jiegang; Zang, Ning; Liao, Yanyan; Yu, Jun; Lai, Jingzhen; Qin, Fengxiang; Su, Jinming; Ye, Li; Chen, Hui

    2016-01-01

    Hepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic that could be useful for preventing this disease. The autoregressive integrated moving average (ARIMA) model and the generalized regression neural network (GRNN) model were used to fit the incidence data from the Heng County CDC (Center for Disease Control and Prevention) from January 2005 to December 2012. Then, the ARIMA-GRNN hybrid model was developed. The incidence data from January 2013 to December 2013 were used to validate the models. Several parameters, including mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) and mean square error (MSE), were used to compare the performance among the three models. The morbidity of hepatitis from Jan 2005 to Dec 2012 has seasonal variation and slightly rising trend. The ARIMA(0,1,2)(1,1,1)12 model was the most appropriate one with the residual test showing a white noise sequence. The smoothing factor of the basic GRNN model and the combined model was 1.8 and 0.07, respectively. The four parameters of the hybrid model were lower than those of the two single models in the validation. The parameters values of the GRNN model were the lowest in the fitting of the three models. The hybrid ARIMA-GRNN model showed better hepatitis incidence forecasting in Heng County than the single ARIMA model and the basic GRNN model. It is a potential decision-supportive tool for controlling hepatitis in Heng County.

  10. Logistic Regression Model on Antenna Control Unit Autotracking Mode

    Science.gov (United States)

    2015-10-20

    412TW-PA-15240 Logistic Regression Model on Antenna Control Unit Autotracking Mode DANIEL T. LAIRD AIR FORCE TEST CENTER EDWARDS AFB, CA...OCT 15 4. TITLE AND SUBTITLE Logistic Regression Model on Antenna Control Unit Autotracking Mode 5a. CONTRACT NUMBER 5b. GRANT...alternative-hypothesis. This paper will present an Antenna Auto- tracking model using Logistic Regression modeling. This paper presents an example of

  11. AutoCAD 2015 and AutoCAD LT 2015 bible

    CERN Document Server

    Finkelstein, Ellen

    2014-01-01

    The perfect reference for all AutoCAD users AutoCAD 2015 and AutoCAD LT 2015 Bible is the book you want to have close at hand to answer those day-to-day questions about this industry-leading software. Author and Autodesk University instructor Ellen Finkelstein guides readers through AutoCAD 2015 and AutoCAD LT 2015 with clear, easy-to-understand instruction and hands-on tutorials that allow even total beginners to create a design on their very first day. Although simple and fundamental enough to be used by those new to CAD, the book is so comprehensive that even Autodesk power u

  12. Auto-immune Haemolytic Anaemia and Paroxys

    African Journals Online (AJOL)

    who presented with an acute auto-immune haemolytic anaemia. In addition to a persistently positive Coombs test, with specific red cell auto-antibodies, the acidified serum test and the sucrose haemolysis test were repeatedly positive. CASE REPORT. A 24-year-old Indian woman was admitted to hospital in. July 1969.

  13. AutoCAD 2008 and AutoCAD LT 2008 Bible

    CERN Document Server

    Finkelstein, Ellen

    2011-01-01

    "Whether you're new to AutoCAD or a veteran, you will undoubtedly find this book to be an excellent resource."-- Abhi Singh, AutoCAD Product Manager, Autodesk, Inc.Here's the book that makes AutoCAD approachableEven the people at Autodesk look to Ellen Finkelstein for AutoCAD training, so who better to teach you about AutoCAD 2008? This comprehensive guide brings veterans up to speed on AutoCAD updates and takes novices from the basics to programming in AutoLISP(r) and VBA. Every feature is covered in a logical order, and with the Quick Start chapter, you'll be creating drawings on your very f

  14. AutoPyFactory: A Scalable Flexible Pilot Factory Implementation

    International Nuclear Information System (INIS)

    Caballero, J; Hover, J; Love, P; Stewart, G A

    2012-01-01

    The ATLAS experiment at the CERN LHC is one of the largest users of grid computing infrastructure, which is a central part of the experiment's computing operations. Considerable efforts have been made to use grid technology in the most efficient and effective way, including the use of a pilot job based workload management framework. In this model the experiment submits ‘pilot’ jobs to sites without payload. When these jobs begin to run they contact a central service to pick-up a real payload to execute. The first generation of pilot factories were usually specific to a single Virtual Organization (VO), and were bound to the particular architecture of that VO's distributed processing. A second generation provides factories which are more flexible, not tied to any particular VO, and provide new and improved features such as monitoring, logging, profiling, etc. In this paper we describe this key part of the ATLAS pilot architecture, a second generation pilot factory, AutoPyFactory. AutoPyFactory has a modular design and is highly configurable. It is able to send different types of pilots to sites and exploit different submission mechanisms and queue characteristics. It is tightly integrated with the PanDA job submission framework, coupling pilot flow to the amount of work the site has to run. It gathers information from many sources in order to correctly configure itself for a site and its decision logic can easily be updated. Integrated into AutoPyFactory is a flexible system for delivering both generic and specific job wrappers which can perform many useful actions before starting to run end-user scientific applications, e.g., validation of the middleware, node profiling and diagnostics, and monitoring. AutoPyFactory also has a robust monitoring system that has been invaluable in establishing a reliable pilot factory service for ATLAS.

  15. AutoPyFactory: A Scalable Flexible Pilot Factory Implementation

    Science.gov (United States)

    Caballero, J.; Hover, J.; Love, P.; Stewart, G. A.

    2012-12-01

    The ATLAS experiment at the CERN LHC is one of the largest users of grid computing infrastructure, which is a central part of the experiment's computing operations. Considerable efforts have been made to use grid technology in the most efficient and effective way, including the use of a pilot job based workload management framework. In this model the experiment submits ‘pilot’ jobs to sites without payload. When these jobs begin to run they contact a central service to pick-up a real payload to execute. The first generation of pilot factories were usually specific to a single Virtual Organization (VO), and were bound to the particular architecture of that VO's distributed processing. A second generation provides factories which are more flexible, not tied to any particular VO, and provide new and improved features such as monitoring, logging, profiling, etc. In this paper we describe this key part of the ATLAS pilot architecture, a second generation pilot factory, AutoPyFactory. AutoPyFactory has a modular design and is highly configurable. It is able to send different types of pilots to sites and exploit different submission mechanisms and queue characteristics. It is tightly integrated with the PanDA job submission framework, coupling pilot flow to the amount of work the site has to run. It gathers information from many sources in order to correctly configure itself for a site and its decision logic can easily be updated. Integrated into AutoPyFactory is a flexible system for delivering both generic and specific job wrappers which can perform many useful actions before starting to run end-user scientific applications, e.g., validation of the middleware, node profiling and diagnostics, and monitoring. AutoPyFactory also has a robust monitoring system that has been invaluable in establishing a reliable pilot factory service for ATLAS.

  16. A deep auto-encoder model for gene expression prediction.

    Science.gov (United States)

    Xie, Rui; Wen, Jia; Quitadamo, Andrew; Cheng, Jianlin; Shi, Xinghua

    2017-11-17

    Gene expression is a key intermediate level that genotypes lead to a particular trait. Gene expression is affected by various factors including genotypes of genetic variants. With an aim of delineating the genetic impact on gene expression, we build a deep auto-encoder model to assess how good genetic variants will contribute to gene expression changes. This new deep learning model is a regression-based predictive model based on the MultiLayer Perceptron and Stacked Denoising Auto-encoder (MLP-SAE). The model is trained using a stacked denoising auto-encoder for feature selection and a multilayer perceptron framework for backpropagation. We further improve the model by introducing dropout to prevent overfitting and improve performance. To demonstrate the usage of this model, we apply MLP-SAE to a real genomic datasets with genotypes and gene expression profiles measured in yeast. Our results show that the MLP-SAE model with dropout outperforms other models including Lasso, Random Forests and the MLP-SAE model without dropout. Using the MLP-SAE model with dropout, we show that gene expression quantifications predicted by the model solely based on genotypes, align well with true gene expression patterns. We provide a deep auto-encoder model for predicting gene expression from SNP genotypes. This study demonstrates that deep learning is appropriate for tackling another genomic problem, i.e., building predictive models to understand genotypes' contribution to gene expression. With the emerging availability of richer genomic data, we anticipate that deep learning models play a bigger role in modeling and interpreting genomics.

  17. The Auto-Gopher Deep Drill

    Science.gov (United States)

    Badescu, Mircea

    2014-01-01

    Subsurface penetration by coring, drilling or abrading is of great importance for a large number of space and earth applications. An Ultrasonic/Sonic Drill/Corer (USDC) has been in development at JPL's Nondestructive Evaluation and Advanced Actuators (NDEAA) lab as an adaptable tool for many of these applications. The USDC uses a novel drive mechanism to transform the high frequency ultrasonic or sonic vibrations of the tip of a horn into a lower frequency sonic hammering of a drill bit through an intermediate free-flying mass. The USDC device idea has been implemented at various scales from handheld drills to large diameter coring devices. A series of computer programs that model the function and performance of the USDC device were developed and were later integrated into an automated modeling package. The USDC has also evolved from a purely hammering drill to a rotary hammer drill as the design requirements increased form small diameter shallow drilling to large diameter deep coring. A synthesis of the Auto-Gopher development is presented in this paper.

  18. Wind speed prediction using statistical regression and neural network

    Indian Academy of Sciences (India)

    Prediction of wind speed in the atmospheric boundary layer is important for wind energy assess- ment,satellite launching and aviation,etc.There are a few techniques available for wind speed prediction,which require a minimum number of input parameters.Four different statistical techniques,viz.,curve fitting,Auto Regressive ...

  19. Regression: A Bibliography.

    Science.gov (United States)

    Pedrini, D. T.; Pedrini, Bonnie C.

    Regression, another mechanism studied by Sigmund Freud, has had much research, e.g., hypnotic regression, frustration regression, schizophrenic regression, and infra-human-animal regression (often directly related to fixation). Many investigators worked with hypnotic age regression, which has a long history, going back to Russian reflexologists.…

  20. MICRO AUTO GASIFICATION SYSTEM: EMISSIONS ...

    Science.gov (United States)

    A compact, CONEX-housed waste to energy unit, Micro Auto Gasification System (MAGS), was characterized for air emissions from burning of military waste types. The MAGS unit is a dual chamber gasifier with a secondary diesel-fired combustor. Eight tests were conducted with multiple waste types in a 7-day period at the Kilauea Military Camp in Hawai’i. The emissions characterized were chosen based on regulatory emissions limits as well as their ability to cause adverse health effects on humans: particulate matter (PM), mercury, heavy metals, volatile organic compounds (VOCs), polyaromatic hydrocarbons (PAHs), and polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs). Three military waste feedstock compositions reflecting the variety of wastes to be encountered in theatre were investigated: standard waste (SW), standard waste with increased plastic content (HP), standard waste without SW food components but added first strike ration (FSR) food and packaging material (termed FSR). A fourth waste was collected from the Kilauea dumpster that served the dining facility and room lodging (KMC). Limited scrubber water and solid ash residue samples were collected to obtain a preliminary characterization of these effluents/residues.Gasifying SW, HP, and KMC resulted in similar PCDD/PCDF stack concentrations, 0.26-0.27 ng TEQ/m3 at 7% O2, while FSR waste generated a notably higher stack concentration of 0.68 ng TEQ/m3 at 7% O2. The PM emission

  1. Auto Carrier Transporter Loading and Unloading Improvement

    National Research Council Canada - National Science Library

    Miller, Brian

    2003-01-01

    .... Any reduction in time and energy will result in a significant savings of money. The intent of this research is to develop an algorithm to solve the Auto Carrier Transport Pickup and Delivery Problem...

  2. Range-Based Auto-Focus Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Maracel Systems and Software Technologies, LLC proposes a revolutionary Range-Based Auto Focus (RBAF) system that will combine externally input range, such as might...

  3. Development of ATSR (Auto Thermal Steam Reformer)

    International Nuclear Information System (INIS)

    Ono, J.; Yoshino, Y.; Kuwabara, T.; Fujisima, S.; Kobayashi, S.; Maruko, S.

    2004-01-01

    'Full text:' Auto-thermal reformers are used popularly for fuel cell vehicle because they are compact and can start up quickly. On the other hand, steam reformers are used for stationary fuel cell power plant because they are good thermal efficiency. While, there are many cases using the auto- thermal reformer for stationary use with expectation of cost reduction in USA, as well. However, they are still insufficient for its durability, compactness and cost. We have been developing the new type of fuel processing system that is auto-thermal steam reformer (ATSR), which is hybrid of a conventional steam reformer (STR) and a conventional auto-thermal reformer (ATR). In this study, some proto-type of ATSR for field test were designed, tried manufacturing and tested performance and durability. And we have tried to operate with fuel cell stack to evaluate the system interface performance, that is, operability and controllability. (author)

  4. Line Generalization and AutoCAD Map

    Directory of Open Access Journals (Sweden)

    Nada Vučetić

    2001-01-01

    Full Text Available The paper offers the results of original research made on the application of AutoCAD Map in line generalisation. The differences and similarities have been found out between the Douglas-Peucker method and the method of line simplification that is incorporated in AutoCAD Map. There have been also the inaccuracies found out in AutoCAD Map manual relating to the issues of buffer width and tolerance, and the line width before and after simplification. The paper gives recommendations about pseudo nodes dissolving. It has been noticed that AutoCAD Map simplification method is not independent of the order of points. The application of the method is illustrated by an example of coastal line of Istria.

  5. AutoCAD-To-NASTRAN Translator Program

    Science.gov (United States)

    Jones, A.

    1989-01-01

    Program facilitates creation of finite-element mathematical models from geometric entities. AutoCAD to NASTRAN translator (ACTON) computer program developed to facilitate quick generation of small finite-element mathematical models for use with NASTRAN finite-element modeling program. Reads geometric data of drawing from Data Exchange File (DXF) used in AutoCAD and other PC-based drafting programs. Written in Microsoft Quick-Basic (Version 2.0).

  6. Auto-associative nanoelectronic neural network

    Energy Technology Data Exchange (ETDEWEB)

    Nogueira, C. P. S. M.; Guimarães, J. G. [Departamento de Engenharia Elétrica - Laboratório de Dispositivos e Circuito Integrado, Universidade de Brasília, CP 4386, CEP 70904-970 Brasília DF (Brazil)

    2014-05-15

    In this paper, an auto-associative neural network using single-electron tunneling (SET) devices is proposed and simulated at low temperature. The nanoelectronic auto-associative network is able to converge to a stable state, previously stored during training. The recognition of the pattern involves decreasing the energy of the input state until it achieves a point of local minimum energy, which corresponds to one of the stored patterns.

  7. Auto-associative nanoelectronic neural network

    International Nuclear Information System (INIS)

    Nogueira, C. P. S. M.; Guimarães, J. G.

    2014-01-01

    In this paper, an auto-associative neural network using single-electron tunneling (SET) devices is proposed and simulated at low temperature. The nanoelectronic auto-associative network is able to converge to a stable state, previously stored during training. The recognition of the pattern involves decreasing the energy of the input state until it achieves a point of local minimum energy, which corresponds to one of the stored patterns

  8. PLC Based Hydraulic Auto Ladle System

    OpenAIRE

    Amogh Tayade; Anuja Chitre

    2014-01-01

    In this paper we have implemented a PLC based Hydraulic Auto Ladle System for Casting Department of Victory Precisions Pvt. Ltd. Chakan, Pune. This project work presents the study and design of PLC based Hydraulic Auto Ladle System. Aluminium pouring is the key process in Casting and Forging industry. Different products are manufactured by the company for automobile sector using aluminium. Programmable Logic Controller (PLC) is used for the automation of pouring process. Au...

  9. Computing Mass Properties From AutoCAD

    Science.gov (United States)

    Jones, A.

    1990-01-01

    Mass properties of structures computed from data in drawings. AutoCAD to Mass Properties (ACTOMP) computer program developed to facilitate quick calculations of mass properties of structures containing many simple elements in such complex configurations as trusses or sheet-metal containers. Mathematically modeled in AutoCAD or compatible computer-aided design (CAD) system in minutes by use of three-dimensional elements. Written in Microsoft Quick-Basic (Version 2.0).

  10. MAPPING APPLICATIONS USING AutoCAD

    Directory of Open Access Journals (Sweden)

    SOARE Mihaela

    2006-12-01

    Full Text Available Although AutoCAD isn’t the most popular software used in 3D professional graphics area, it also offers the possibility to create realistic 3D representations using advanced rendering techniques. One of these techniques is the mapping one. The goal of this work is to shortly present several applications of mapping procedure provided by AutoCAD, by taking into account that there is a small quantity of documentary information related to this technique.

  11. AutoCAD 2014 review for certification official certification preparation

    CERN Document Server

    ASCENT center for technical knowledge

    2014-01-01

    The AutoCAD® 2014 Review for Certification book is intended for users of AutoCAD® preparing to complete the AutoCAD 2014 Certified Professional exam. This book contains a collection of relevant instructional topics, practice exercises, and review questions from the Autodesk Official Training Guides (AOTG) from ASCENT - Center for Technical Knowledge pertaining specifically to the Certified Professional exam topics and objectives. This book is intended for experienced users of AutoCAD in preparation for certification. New users of AutoCAD should refer to the AOTG training guides from ASCENT, such as AutoCAD/AutoCAD LT 2014 Fundamentals, for more comprehensive instruction.

  12. Genotoxic damage in auto body shop workers.

    Science.gov (United States)

    Siebel, Anna Maria; Basso da Silva, Luciano

    2010-10-01

    Some studies have shown increased DNA damage among car painters, but other professionals working in auto body and paint shops have not been extensively assessed. The aim of this study was to assess DNA damage in different types of auto body shop workers by measuring micronucleus (MN) levels in exfoliated buccal cells. The mean number of cells with MN per 2000 exfoliated buccal cells was analyzed in three groups of male workers: auto body repair technicians, painters, and office workers (control group). All participants answered a questionnaire inquiring about age, smoking habits, alcohol consumption, work practices, occupational exposure time, job activities, and use of protective equipment. The mean number of cells with MN was 3.50 ± 1.50 in auto body painters, 3.91 ± 2.10 in auto body repair technicians, and 0.80 ± 0.78 in office workers, with a significant difference between the control group and the two other groups (p = 0.0001). Age, occupational exposure time, use of protective masks, alcohol consumption, and smoking habit did not affect MN results. The findings indicate that technicians and painters working in auto body shops are at risk for genotoxic damage, while office workers seem to be protected.

  13. RFID and Auto-ID in planning and logistics

    CERN Document Server

    Jones, Erick C

    2011-01-01

    As RFID technology is becoming increasingly popular, the need has arisen to address the challenges and approaches to successful implementation. RFID and Auto-ID in Planning and Logistics: A Practical Guide for Military UID Applications presents the concepts for students, military personnel and contractors, and corporate managers to learn about RFID and other automatic information capture technologies, and their integration into planning and logistics functions. The text includes comparisons of RFID with technologies such as bar codes, satellite tags, and global positioning systems and provides

  14. New perspectives on auto propane

    International Nuclear Information System (INIS)

    Webb, R.F.

    1991-01-01

    In spite of the high level of propane use in vehicles in North America (relative to the use of compressed natural gas (CNG) or methanol), the alternate-fuel research and development activities of original equipment manufacturers (OEMs) are focusing on methanol, CNG, and electric vehicles. If OEM indifference to propane continues, propane vehicles will continue to be available only in after-market conversions, denying propane the benefits of OEM mass-production economics, quality control, retail distribution, and other factors. Recent developments in auto propane are reported which should be considered by OEMs and policymakers to allow propane to enter the mass-scale motor vehicle market. Propane and the liquefied petroleum gas (LPG) mix used as a motor vehicle fuel are often regarded as just a byproduct of natural gas production and oil refining, giving the impression that propane/LPG will not be available in sufficient quantities to support a mass market. It is shown that LPG supply is market-responsive and that over 20 billion gal of new supply could be made available from North American sources by the year 2000 and over 27 billion gal by 2005, sufficient to supply 12.5% of the projected North American vehicle fleet in 2005. The new supply would come from incremental expansion of existing production, displacement of LPG from lower-value uses, and LPG synthesis. The environmental performance of propane/LPG engines is also compared to that of engines running on gasoline, natural gas, and methanol. Advantages of LPG over gasoline include lower carbon content and lower CO emissions, and advantages over CNG arise from the high greenhouse gas activity and long life of methane. 12 figs

  15. Ridge regression processing

    Science.gov (United States)

    Kuhl, Mark R.

    1990-01-01

    Current navigation requirements depend on a geometric dilution of precision (GDOP) criterion. As long as the GDOP stays below a specific value, navigation requirements are met. The GDOP will exceed the specified value when the measurement geometry becomes too collinear. A new signal processing technique, called Ridge Regression Processing, can reduce the effects of nearly collinear measurement geometry; thereby reducing the inflation of the measurement errors. It is shown that the Ridge signal processor gives a consistently better mean squared error (MSE) in position than the Ordinary Least Mean Squares (OLS) estimator. The applicability of this technique is currently being investigated to improve the following areas: receiver autonomous integrity monitoring (RAIM), coverage requirements, availability requirements, and precision approaches.

  16. Ridge Regression: A Panacea?

    Science.gov (United States)

    Walton, Joseph M.; And Others

    1978-01-01

    Ridge regression is an approach to the problem of large standard errors of regression estimates of intercorrelated regressors. The effect of ridge regression on the estimated squared multiple correlation coefficient is discussed and illustrated. (JKS)

  17. AutoCAD 2012 and AutoCAD LT 2012 Bible

    CERN Document Server

    Finkelstein, Ellen

    2011-01-01

    The latest version of this perennial favorite, in-depth, reference-tutorial This top-selling book has been updated by AutoCAD guru and author Ellen Finkelstein to provide you with the very latest coverage of both AutoCAD 2012 and AutoCAD LT 2012. It begins with a Quick Start tutorial, so you start creating right away. From there, the book covers so much in-depth material on AutoCAD that it is said that even Autodesk employees keep this comprehensive book at their desks. A DVD is included that features before-and-after drawings of all the tutorials and plenty of great examples from AutoCAD prof

  18. [Clinical overview of auto-inflammatory diseases].

    Science.gov (United States)

    Georgin-Lavialle, S; Rodrigues, F; Hentgen, V; Fayand, A; Quartier, P; Bader-Meunier, B; Bachmeyer, C; Savey, L; Louvrier, C; Sarrabay, G; Melki, I; Belot, A; Koné-Paut, I; Grateau, G

    2018-04-01

    Monogenic auto-inflammatory diseases are characterized by genetic abnormalities coding for proteins involved in innate immunity. They were initially described in mirror with auto-immune diseases because of the absence of circulating autoantibodies. Their main feature is the presence of peripheral blood inflammation in crisis without infection. The best-known auto-inflammatory diseases are mediated by interleukines that consisted in the 4 following diseases familial Mediterranean fever, cryopyrinopathies, TNFRSF1A-related intermittent fever, and mevalonate kinase deficiency. Since 10 years, many other diseases have been discovered, especially thanks to the progress in genetics. In this review, we propose the actual panorama of the main known auto-inflammatory diseases. Some of them are recurrent fevers with crisis and remission; some others evaluate more chronically; some are associated with immunodeficiency. From a physiopathological point of view, we can separate diseases mediated by interleukine-1 and diseases mediated by interferon. Then some polygenic inflammatory diseases will be shortly described: Still disease, Schnitzler syndrome, aseptic abscesses syndrome. The diagnosis of auto-inflammatory disease is largely based on anamnesis, the presence of peripheral inflammation during attacks and genetic analysis, which are more and more performant. Copyright © 2018 Société Nationale Française de Médecine Interne (SNFMI). Published by Elsevier SAS. All rights reserved.

  19. Internationalization of the auto industry in the conditions of national economies growth

    Directory of Open Access Journals (Sweden)

    Tetiana Laduba

    2010-12-01

    Full Text Available In the article were studied the strategies, models and forms of the auto industry internationalization in the conditions of integration processes development and growth of the national economies transparency level. The authors determined the factors and grounded the criteria of effective strategies implementation of automobile companies of the USA, Japan, the EU and China.

  20. Reduced Rank Regression

    DEFF Research Database (Denmark)

    Johansen, Søren

    2008-01-01

    The reduced rank regression model is a multivariate regression model with a coefficient matrix with reduced rank. The reduced rank regression algorithm is an estimation procedure, which estimates the reduced rank regression model. It is related to canonical correlations and involves calculating...

  1. A New, Improved Hybrid Scoring Function for Molecular Docking and Scoring Based on AutoDock and AutoDock Vina.

    Science.gov (United States)

    Tanchuk, Vsevolod Yu; Tanin, Volodymyr O; Vovk, Andriy I; Poda, Gennady

    2016-04-01

    Automated docking is one of the most important tools for structure-based drug design that allows prediction of ligand binding poses and also provides an estimate of how well small molecules fit in the binding site of a protein. A new scoring function based on AutoDock and AutoDock Vina has been introduced. The new hybrid scoring function is a linear combination of the two scoring function components derived from a multiple linear regression fitting procedure. The scoring function was built on a training set of 2412 protein-ligand complexes from pdbbind database (www.pdbbind.org.cn, version 2012). A test set of 313 complexes that appeared in the 2013 version was used for validation purposes. The new hybrid scoring function performed better than the original functions, both on training and test sets of protein-ligand complexes, as measured by the non-parametric Pearson correlation coefficient, R, mean absolute error (MAE), and root-mean-square error (RMSE) between the experimental binding affinities and the docking scores. The function also gave one of the best results among more than 20 scoring functions tested on the core set of the pdbbind database. The new AutoDock hybrid scoring function will be implemented in modified version of AutoDock. © 2015 John Wiley & Sons A/S.

  2. AutoCAD platform customization user interface and beyond

    CERN Document Server

    Ambrosius, Lee

    2014-01-01

    Make AutoCAD your own with powerful personalization options Options for AutoCAD customization are typically the domain of administrators, but savvy users can perform their own customizations to personalize AutoCAD. Until recently, most users never thought to customize the AutoCAD platform to meet their specific needs, instead leaving it to administrators. If you are an AutoCAD user who wants to ramp up personalization options in your favorite software, AutoCAD Platform Customization: User Interface and Beyond is the perfect resource for you. Author Lee Ambrosius is recognized as a leader in Au

  3. Human neutrophils in auto-immunity.

    Science.gov (United States)

    Thieblemont, Nathalie; Wright, Helen L; Edwards, Steven W; Witko-Sarsat, Véronique

    2016-04-01

    Human neutrophils have great capacity to cause tissue damage in inflammatory diseases via their inappropriate activation to release reactive oxygen species (ROS), proteases and other tissue-damaging molecules. Furthermore, activated neutrophils can release a wide variety of cytokines and chemokines that can regulate almost every element of the immune system. In addition to these important immuno-regulatory processes, activated neutrophils can also release, expose or generate neoepitopes that have the potential to break immune tolerance and result in the generation of autoantibodies, that characterise a number of human auto-immune diseases. For example, in vasculitis, anti-neutrophil cytoplasmic antibodies (ANCA) that are directed against proteinase 3 or myeloperoxidase are neutrophil-derived autoantigens and activated neutrophils are the main effector cells of vascular damage. In other auto-immune diseases, these neutrophil-derived neoepitopes may arise from a number of processes that include release of granule enzymes and ROS, changes in the properties of components of their plasma membrane as a result of activation or apoptosis, and via the release of Neutrophil Extracellular Traps (NETs). NETs are extracellular structures that contain chromatin that is decorated with granule enzymes (including citrullinated proteins) that can act as neo-epitopes to generate auto-immunity. This review therefore describes the processes that can result in neutrophil-mediated auto-immunity, and the role of neutrophils in the molecular pathologies of auto-immune diseases such as vasculitis, rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). We discuss the potential role of NETs in these processes and some of the debate in the literature regarding the role of this phenomenon in microbial killing, cell death and auto-immunity. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. Using AutoCAD to improve the visibility of the organizational technological design

    Directory of Open Access Journals (Sweden)

    Lebedeva Irina Mikhailovna

    2014-01-01

    Full Text Available The article describes the issue of increasing the visibility of technological solutions in organizational-technological design. The ability to visualize the main stages of building process technology contributes to organic integration of all the requirements. A special role for the harmonious perception is played by correct display of the lighting facilities, shadowing. Realistic shadows help to analyze the rooms’ insolation of the designed facility and the surrounding areas. We give a justification for the use of AutoCAD in order to automate the process of visualizing the results of organizational-technological design. The author describes the methods of obtaining realistic natural lighting in AutoCAD without significantly increasing the complexity of the process. Engineering companies in 46 % of cases use the software AutoCAD in order to create construction plans. AutoCAD has a variety of possibilities and is constantly evolving. Continuation is one of the benefits of this program. AutoCAD is unique in terms of customization, because, apart from instruction languages, it has two built-in programming languages: AutoLISP and VisualBasic. Because of these specific features AutoCAD allows to create any applications related to graphics implementation. Constant monitoring of lightning changes allows finding the appropriate in terms of aesthetics, ergonomics and insolation decisions on planning and associating a building or structure to the environment. Solar lighting is simulated by a combination of several directional lightning point sources. The author offers a brief description of the program algorithm, which allows automatically managing lighting settings and creating a file with a realistic visualization of the design solutions.

  5. Auto-communicating micro-orientalism

    DEFF Research Database (Denmark)

    Ren, Carina Bregnholm; Ooi, Can-Seng

    2013-01-01

    Using the concepts of auto-communication and micro-Orientalism, this article argues that nation branding at World Expos produces and propagates notions of difference and Otherness. We examine how Denmark presents itself in China, and how the message inevitably tells how the Danish authorities view...... exhibition is performed and regulated as sustainable and authentic and how in spite of its seemingly dialogical and interactive layout, a number of auto-communicative and micro-Orientalist practices are enacted. This study is based on field participation, observations and interviews. Public sources...

  6. Auto-Zero Differential Amplifier

    Science.gov (United States)

    Quilligan, Gerard T. (Inventor); Aslam, Shahid (Inventor)

    2017-01-01

    An autozero amplifier may include a window comparator network to monitor an output offset of a differential amplifier. The autozero amplifier may also include an integrator to receive a signal from a latched window comparator network, and send an adjustment signal back to the differential amplifier to reduce an offset of the differential amplifier.

  7. Semiparametric regression during 2003–2007

    KAUST Repository

    Ruppert, David

    2009-01-01

    Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology – thus allowing more streamlined handling of longitudinal and spatial correlation. We review progress in the field over the five-year period between 2003 and 2007. We find semiparametric regression to be a vibrant field with substantial involvement and activity, continual enhancement and widespread application.

  8. AutoCAD 2012 and AutoCAD LT 2012 No Experience Required

    CERN Document Server

    Gladfelter, Donnie

    2011-01-01

    The perfect step-by-step introduction to Autodesk's powerful architectural design software With this essential guide, you'll learn how to plan, develop, document, and present a complete AutoCAD project by building a summer cabin from start to finish. You can follow each step sequentially or jump in at any point by downloading the drawing files from the book's companion web site. You'll also master all essential AutoCAD features, get a thorough grounding in the basics, learn the very latest industry standards and techniques, and quickly become productive with AutoCAD 2012.Features concise expla

  9. AutoCAD 2015 and AutoCAD LT 2015 essentials

    CERN Document Server

    Onstott, Scott

    2014-01-01

    Step-by-step instructions for the AutoCAD fundamentals AutoCAD 2015 Essentials contains 400 pages of full-color, comprehensive instruction on the world's top drafting and architecture software. This 2015 edition features architectural, manufacturing, and landscape architecture examples. And like previous editions, the detailed guide introduces core concepts using interactive tutorials and open-ended projects, which can be completed in any order, thanks to downloadable data sets (an especially useful feature for students and professionals studying for Autodesk AutoCAD certification). Unlike man

  10. Transparency and the logic of auto-immunity

    Directory of Open Access Journals (Sweden)

    Emanuele Antonelli

    2011-12-01

    Full Text Available In Voyous, Jacques Derrida develops his argument starting from the presupposition that democracy as such is the entity whose integrity and immunity are at stake and, therefore, under investigation. This gesture reflects the setting in which ten years before, in Foi et savoir, he had cast his reasoning about the logic of immunity. There, it was one of the sources of religion, the immunity of the sacred, that operated according to this logic. The hyphen between these two essays, beside Derrida’s own crossed references, is the genealogical reasoning on the meaning and essence of the concept of democracy: contrary to what Derrida claims, it will be maintained that Athenian democracy had a clear immune matrix, whose constant exercise is clearly defined, in spite of himself, by Vernant, and it will be shown how modern democracy has been forced to change policy. Modern democracy is an entity characterized by an immune deficiency. In order to save Derrida’s intuition from both the collapse of different vantage points and from a quite bizarre reticence in taking into account of the immune value of rituals, our starting point will be René Girard’s œuvre and his reading of the role of immune logic in sacred systems and, more generally, in modernity. The threshold between the auto-immune reaction, immune deficiency and auto-immune disease, between the sacrifice who delimits and constitutes the self and the holocauste du peuple en détail, is the space where, constantly exposed to the risk of auto-denial, democracy lives. 

  11. Trajectory Auto-Corrected image reconstruction.

    Science.gov (United States)

    Ianni, Julianna D; Grissom, William A

    2016-09-01

    To estimate k-space trajectory errors in non-Cartesian acquisitions and reconstruct distortion-free images, without trajectory measurements or gradient calibrations. The Trajectory Auto-Corrected image Reconstruction method jointly estimates k-space trajectory errors and images, based on SENSE and SPIRiT parallel imaging reconstruction. The underlying idea is that parallel imaging and oversampling in the center of k-space provides data redundancy that can be exploited to simultaneously reconstruct images and correct trajectory errors. Trajectory errors are represented as weighted sums of trajectory-dependent error basis functions, the coefficients of which are estimated using gradient-based optimization. Trajectory Auto-Corrected image Reconstruction was applied to reconstruct images and errors in golden angle radial, center-out radial, and spiral in vivo 7 Tesla brain acquisitions in five subjects. Compared to reconstructions using nominal trajectories, Trajectory auto-corrected image reconstructions contained considerably less blurring and streaking and were of similar quality to images reconstructed using measured k-space trajectories in the center-out radial and spiral cases. Reconstruction cost function reductions and improvements in normalized image gradient squared were also similar to those for images reconstructed using measured trajectories. Trajectory Auto-Corrected image Reconstruction enables non-Cartesian image reconstructions free from trajectory errors without the need for separate gradient calibrations or trajectory measurements. Magn Reson Med 76:757-768, 2016. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

  12. Auto Euroopa Liidus kallim / Sulev Oll

    Index Scriptorium Estoniae

    Oll, Sulev, 1964-

    2001-01-01

    Euroopa Liiduga liitumisel tuleb uue auto eest välja käia vähemalt 10 000 krooni rohkem, kuna plaanide kohaselt ei tohi liikmesriikides autode hinnaerinevused ületada 12%. Ilmunud ka: Delovõje Vedomosti, 28. märts 2001, lk. 7

  13. Shape Analysis Using the Auto Diffusion Function

    DEFF Research Database (Denmark)

    Gebal, Katarzyna; Bærentzen, Jakob Andreas; Aanæs, Henrik

    2009-01-01

    Scalar functions defined on manifold triangle meshes is a starting point for many geometry processing algorithms such as mesh parametrization, skeletonization, and segmentation. In this paper, we propose the Auto Diffusion Function (ADF) which is a linear combination of the eigenfunctions...

  14. MICRO AUTO GASIFICATION SYSTEM: EMISSIONS CHARACTERIZATION

    Science.gov (United States)

    A compact, CONEX-housed waste to energy unit, Micro Auto Gasification System (MAGS), was characterized for air emissions from burning of military waste types. The MAGS unit is a dual chamber gasifier with a secondary diesel-fired combustor. Eight tests were conducted with multipl...

  15. Regression analysis by example

    CERN Document Server

    Chatterjee, Samprit

    2012-01-01

    Praise for the Fourth Edition: ""This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable."" -Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded

  16. Nonparametric modal regression

    OpenAIRE

    Chen, Yen-Chi; Genovese, Christopher R.; Tibshirani, Ryan J.; Wasserman, Larry

    2016-01-01

    Modal regression estimates the local modes of the distribution of $Y$ given $X=x$, instead of the mean, as in the usual regression sense, and can hence reveal important structure missed by usual regression methods. We study a simple nonparametric method for modal regression, based on a kernel density estimate (KDE) of the joint distribution of $Y$ and $X$. We derive asymptotic error bounds for this method, and propose techniques for constructing confidence sets and prediction sets. The latter...

  17. Oil Palm Counting and Age Estimation from WorldView-3 Imagery and LiDAR Data Using an Integrated OBIA Height Model and Regression Analysis

    Directory of Open Access Journals (Sweden)

    Hossein Mojaddadi Rizeei

    2018-01-01

    Full Text Available The current study proposes a new method for oil palm age estimation and counting. A support vector machine algorithm (SVM of object-based image analysis (OBIA was implemented for oil palm counting. It was integrated with height model and multiregression methods to accurately estimate the age of trees based on their heights in five different plantation blocks. Multiregression and multi-kernel size models were examined over five different oil palm plantation blocks to achieve the most optimized model for age estimation. The sensitivity analysis was conducted on four SVM kernel types (sigmoid (SIG, linear (LN, radial basis function (RBF, and polynomial (PL with associated parameters (threshold values, gamma γ, and penalty factor (c to obtain the optimal OBIA classification approaches for each plantation block. Very high-resolution imageries of WorldView-3 (WV-3 and light detection and range (LiDAR were used for oil palm detection and age assessment. The results of oil palm detection had an overall accuracy of 98.27%, 99.48%, 99.28%, 99.49%, and 97.49% for blocks A, B, C, D, and E, respectively. Moreover, the accuracy of age estimation analysis showed 90.1% for 3-year-old, 87.9% for 4-year-old, 88.0% for 6-year-old, 87.6% for 8-year-old, 79.1% for 9-year-old, and 76.8% for 22-year-old trees. Overall, the study revealed that remote sensing techniques can be useful to monitor and detect oil palm plantation for sustainable agricultural management.

  18. Canonical variate regression.

    Science.gov (United States)

    Luo, Chongliang; Liu, Jin; Dey, Dipak K; Chen, Kun

    2016-07-01

    In many fields, multi-view datasets, measuring multiple distinct but interrelated sets of characteristics on the same set of subjects, together with data on certain outcomes or phenotypes, are routinely collected. The objective in such a problem is often two-fold: both to explore the association structures of multiple sets of measurements and to develop a parsimonious model for predicting the future outcomes. We study a unified canonical variate regression framework to tackle the two problems simultaneously. The proposed criterion integrates multiple canonical correlation analysis with predictive modeling, balancing between the association strength of the canonical variates and their joint predictive power on the outcomes. Moreover, the proposed criterion seeks multiple sets of canonical variates simultaneously to enable the examination of their joint effects on the outcomes, and is able to handle multivariate and non-Gaussian outcomes. An efficient algorithm based on variable splitting and Lagrangian multipliers is proposed. Simulation studies show the superior performance of the proposed approach. We demonstrate the effectiveness of the proposed approach in an [Formula: see text] intercross mice study and an alcohol dependence study. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  19. Flexible survival regression modelling

    DEFF Research Database (Denmark)

    Cortese, Giuliana; Scheike, Thomas H; Martinussen, Torben

    2009-01-01

    Regression analysis of survival data, and more generally event history data, is typically based on Cox's regression model. We here review some recent methodology, focusing on the limitations of Cox's regression model. The key limitation is that the model is not well suited to represent time-varyi...

  20. Conversations with AutoTutor Help Students Learn

    Science.gov (United States)

    Graesser, Arthur C.

    2016-01-01

    AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of AutoTutor's conversation patterns simulate human tutoring, but other patterns implement ideal pedagogies that open the door to computer tutors eclipsing…

  1. Efficiency calibration of solid track spark auto counter

    International Nuclear Information System (INIS)

    Wang Mei; Wen Zhongwei; Lin Jufang; Liu Rong; Jiang Li; Lu Xinxin; Zhu Tonghua

    2008-01-01

    The factors influencing detection efficiency of solid track spark auto counter were analyzed, and the best etch condition and parameters of charge were also reconfirmed. With small plate fission ionization chamber, the efficiency of solid track spark auto counter at various experiment assemblies was re-calibrated. The efficiency of solid track spark auto counter at various experimental conditions was obtained. (authors)

  2. 46 CFR 78.19-1 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 3 2010-10-01 2010-10-01 false Use of auto pilot. 78.19-1 Section 78.19-1 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) PASSENGER VESSELS OPERATIONS Auto Pilot § 78.19-1 Use of auto pilot. Except as provided in 33 CFR 164.15, when the automatic pilot is used in— (a...

  3. 46 CFR 97.16-1 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Use of auto pilot. 97.16-1 Section 97.16-1 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) CARGO AND MISCELLANEOUS VESSELS OPERATIONS Auto Pilot § 97.16-1 Use of auto pilot. Except as provided in 33 CFR 164.15, when the automatic pilot is used...

  4. AUTO-LAY: automatic layout generation for procedure flow diagrams

    International Nuclear Information System (INIS)

    Forzano, P.; Castagna, P.

    1995-01-01

    Nuclear Power Plant Procedures can be seen from essentially two viewpoints: the process and the information management. From the first point of view, it is important to supply the knowledge apt to solve problems connected with the control of the process, from the second one the focus of attention is on the knowledge representation, its structure, elicitation and maintenance, formal quality assurance. These two aspects of procedure representation can be considered and solved separately. In particular, methodological, formal and management issues require long and tedious activities, that in most cases constitute a great barrier for procedures development and upgrade. To solve these problems, Ansaldo is developing DIAM, a wide integrated tool for procedure management to support in procedure writing, updating, usage and documentation. One of the most challenging features of DIAM is AUTO-LAY, a CASE sub-tool that, in a complete automatical way, structures parts or complete flow diagrams. This is a feature that is partially present in some other CASE products, that, anyway, do not allow complex graph handling and isomorphism between video and paper representation AUTO-LAY has the unique prerogative to draw graphs of any complexity, to section them in pages, and to automatically compose a document. This has been recognized in the literature as the most important second-generation CASE improvement. (author). 5 refs., 9 figs

  5. Quantile Regression Methods

    DEFF Research Database (Denmark)

    Fitzenberger, Bernd; Wilke, Ralf Andreas

    2015-01-01

    if the mean regression model does not. We provide a short informal introduction into the principle of quantile regression which includes an illustrative application from empirical labor market research. This is followed by briefly sketching the underlying statistical model for linear quantile regression based......Quantile regression is emerging as a popular statistical approach, which complements the estimation of conditional mean models. While the latter only focuses on one aspect of the conditional distribution of the dependent variable, the mean, quantile regression provides more detailed insights...... by modeling conditional quantiles. Quantile regression can therefore detect whether the partial effect of a regressor on the conditional quantiles is the same for all quantiles or differs across quantiles. Quantile regression can provide evidence for a statistical relationship between two variables even...

  6. AutoDrug: fully automated macromolecular crystallography workflows for fragment-based drug discovery.

    Science.gov (United States)

    Tsai, Yingssu; McPhillips, Scott E; González, Ana; McPhillips, Timothy M; Zinn, Daniel; Cohen, Aina E; Feese, Michael D; Bushnell, David; Tiefenbrunn, Theresa; Stout, C David; Ludaescher, Bertram; Hedman, Britt; Hodgson, Keith O; Soltis, S Michael

    2013-05-01

    AutoDrug is software based upon the scientific workflow paradigm that integrates the Stanford Synchrotron Radiation Lightsource macromolecular crystallography beamlines and third-party processing software to automate the crystallography steps of the fragment-based drug-discovery process. AutoDrug screens a cassette of fragment-soaked crystals, selects crystals for data collection based on screening results and user-specified criteria and determines optimal data-collection strategies. It then collects and processes diffraction data, performs molecular replacement using provided models and detects electron density that is likely to arise from bound fragments. All processes are fully automated, i.e. are performed without user interaction or supervision. Samples can be screened in groups corresponding to particular proteins, crystal forms and/or soaking conditions. A single AutoDrug run is only limited by the capacity of the sample-storage dewar at the beamline: currently 288 samples. AutoDrug was developed in conjunction with RestFlow, a new scientific workflow-automation framework. RestFlow simplifies the design of AutoDrug by managing the flow of data and the organization of results and by orchestrating the execution of computational pipeline steps. It also simplifies the execution and interaction of third-party programs and the beamline-control system. Modeling AutoDrug as a scientific workflow enables multiple variants that meet the requirements of different user groups to be developed and supported. A workflow tailored to mimic the crystallography stages comprising the drug-discovery pipeline of CoCrystal Discovery Inc. has been deployed and successfully demonstrated. This workflow was run once on the same 96 samples that the group had examined manually and the workflow cycled successfully through all of the samples, collected data from the same samples that were selected manually and located the same peaks of unmodeled density in the resulting difference Fourier

  7. A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction

    International Nuclear Information System (INIS)

    Yu, Jie; Chen, Kuilin; Mori, Junichi; Rashid, Mudassir M.

    2013-01-01

    Optimizing wind power generation and controlling the operation of wind turbines to efficiently harness the renewable wind energy is a challenging task due to the intermittency and unpredictable nature of wind speed, which has significant influence on wind power production. A new approach for long-term wind speed forecasting is developed in this study by integrating GMCM (Gaussian mixture copula model) and localized GPR (Gaussian process regression). The time series of wind speed is first classified into multiple non-Gaussian components through the Gaussian mixture copula model and then Bayesian inference strategy is employed to incorporate the various non-Gaussian components using the posterior probabilities. Further, the localized Gaussian process regression models corresponding to different non-Gaussian components are built to characterize the stochastic uncertainty and non-stationary seasonality of the wind speed data. The various localized GPR models are integrated through the posterior probabilities as the weightings so that a global predictive model is developed for the prediction of wind speed. The proposed GMCM–GPR approach is demonstrated using wind speed data from various wind farm locations and compared against the GMCM-based ARIMA (auto-regressive integrated moving average) and SVR (support vector regression) methods. In contrast to GMCM–ARIMA and GMCM–SVR methods, the proposed GMCM–GPR model is able to well characterize the multi-seasonality and uncertainty of wind speed series for accurate long-term prediction. - Highlights: • A novel predictive modeling method is proposed for long-term wind speed forecasting. • Gaussian mixture copula model is estimated to characterize the multi-seasonality. • Localized Gaussian process regression models can deal with the random uncertainty. • Multiple GPR models are integrated through Bayesian inference strategy. • The proposed approach shows higher prediction accuracy and reliability

  8. PENERAPAN METODE VECTOR AUTO REGRESSION DALAM INTERAKSI KEBIJAKAN FISKAL DAN MONETER DI INDONESIA

    Directory of Open Access Journals (Sweden)

    Adrian Sutawijaya

    2013-06-01

    Full Text Available The purpose of this study is to analyze the interaction of fiscal and monetary policy in Indonesia, especially after the introduction of fiscal and monetary policy shocks. The research method used is the vector autoregression (VAR. VAR is usually used for projecting coherent system variables and time to analyze the dynamic impact of disturbance factors contained in the system variables. Variables used in this study is the level of interest rates as a proxy for monetary policy instruments, government expenditures as a proxy for fiscal policy, inflation rates and national income. The results show that fiscal policy is a negative shock to inflation and responded with a tight monetary policy, while the shock in monetary policy will reduce national income. The application of fiscal and monetary policies that will effectively promote economic growth.

  9. Auto Regressive Moving Average (ARMA) Modeling Method for Gyro Random Noise Using a Robust Kalman Filter

    Science.gov (United States)

    Huang, Lei

    2015-01-01

    To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed. The ARMA model parameters are employed as state arguments. Unknown time-varying estimators of observation noise are used to achieve the estimated mean and variance of the observation noise. Using the robust Kalman filtering, the ARMA model parameters are estimated accurately. The developed ARMA modeling method has the advantages of a rapid convergence and high accuracy. Thus, the required sample size is reduced. It can be applied to modeling applications for gyro random noise in which a fast and accurate ARMA modeling method is required. PMID:26437409

  10. A Vector AutoRegressive (VAR) Approach to the Credit Channel for ...

    African Journals Online (AJOL)

    user1

    significance of monetary policy and the bank lending view of the credit channel for Mauritius, which is ... In Mauritius, the conduct of monetary policy involves the setting and adjustments of policy instruments by the .... been done at national level, in fact on any of the possible channels of monetary transmission mechanisms.

  11. A Vector AutoRegressive (VAR) Approach to the Credit Channel for ...

    African Journals Online (AJOL)

    This paper is an attempt to determine the presence and empirical significance of monetary policy and the bank lending view of the credit channel for Mauritius, which is particularly relevant at these times. A vector autoregressive (VAR) model of order three is used to examine the monetary transmission mechanism using ...

  12. Public Expenditure and Economic Growth in Nigeria: Evidence From Auto-Regressive Distributed Lag Specification

    OpenAIRE

    Egbetunde, Tajudeen; O. Fasanya, Ismail

    2014-01-01

    This paper analyses the impact of public expenditure on economic growth in Nigeria during the period 1970 to 2010 making use of annual time series data. The study employs the bounds testing (ARDL) approach to examine the long run and short run relationships between public expenditure and economic growth in Nigeria. The bounds test suggested that the variables of interest put in the framework are bound together in the long-run. The associated equilibrium correction was also sign...

  13. Oil Price Volatility and Economic Growth in Nigeria: a Vector Auto-Regression (VAR Approach

    Directory of Open Access Journals (Sweden)

    Edesiri Godsday Okoro

    2014-02-01

    Full Text Available The study examined oil price volatility and economic growth in Nigeria linking oil price volatility, crude oil prices, oil revenue and Gross Domestic Product. Using quarterly data sourced from the Central Bank of Nigeria (CBN Statistical Bulletin and World Bank Indicators (various issues spanning 1980-2010, a non‐linear model of oil price volatility and economic growth was estimated using the VAR technique. The study revealed that oil price volatility has significantly influenced the level of economic growth in Nigeria although; the result additionally indicated a negative relationship between the oil price volatility and the level of economic growth. Furthermore, the result also showed that the Nigerian economy survived on crude oil, to such extent that the country‘s budget is tied to particular price of crude oil. This is not a good sign for a developing economy, more so that the country relies almost entirely on revenue of the oil sector as a source of foreign exchange earnings. This therefore portends some dangers for the economic survival of Nigeria. It was recommended amongst others that there should be a strong need for policy makers to focus on policy that will strengthen/stabilize the economy with specific focus on alternative sources of government revenue. Finally, there should be reduction in monetization of crude oil receipts (fiscal discipline, aggressive saving of proceeds from oil booms in future in order to withstand vicissitudes of oil price volatility in future.

  14. Introduction to regression graphics

    CERN Document Server

    Cook, R Dennis

    2009-01-01

    Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat. An Instructor's Manual presenting detailed solutions to all the problems in the book is ava

  15. Alternative Methods of Regression

    CERN Document Server

    Birkes, David

    2011-01-01

    Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ".an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models." --Technometrics This book provides a balance between theory and practice supported by extensive displays of instructive geometrical constructs. Numerous in-depth case studies illustrate the use of nonlinear regression analysis--with all data s

  16. Os processos auto-organizacionais do goalball

    Directory of Open Access Journals (Sweden)

    Márcio Pereira Morato

    2012-09-01

    Full Text Available O goalball é uma modalidade coletiva criada para pessoas com deficiência visual e baseada no tato e na audição. Partindo das contribuições das teorias sistêmicas, e entendendo as equipes e o jogo como sistemas, objetivamos interpretar os padrões e processos auto-organizacionais da modalidade. Para tal, observamos vinte jogos das Paralimpíadas de 2008. Distinguimos o ciclo auto-organizacional das equipes, um processo recursivo atrator de suas configurações. O histórico das relações entre as dimensões opostas das equipes representa o jogo. Cessada a interação cessa o jogo, permanecendo seu registro, que atuará recursivamente nas futuras preparações das equipes, oportunizando novos processos geradores de novos produtos, num interminável ciclo cuja causa e efeito, processo e produto se interligam.

  17. Gamma ray auto absorption correction evaluation methodology

    International Nuclear Information System (INIS)

    Gugiu, Daniela; Roth, Csaba; Ghinescu, Alecse

    2010-01-01

    Neutron activation analysis (NAA) is a well established nuclear technique, suited to investigate the microstructural or elemental composition and can be applied to studies of a large variety of samples. The work with large samples involves, beside the development of large irradiation devices with well know neutron field characteristics, the knowledge of perturbing phenomena and adequate evaluation of correction factors like: neutron self shielding, extended source correction, gamma ray auto absorption. The objective of the works presented in this paper is to validate an appropriate methodology for gamma ray auto absorption correction evaluation for large inhomogeneous samples. For this purpose a benchmark experiment has been defined - a simple gamma ray transmission experiment, easy to be reproduced. The gamma ray attenuation in pottery samples has been measured and computed using MCNP5 code. The results show a good agreement between the computed and measured values, proving that the proposed methodology is able to evaluate the correction factors. (authors)

  18. AutoCAD-To-GIFTS Translator Program

    Science.gov (United States)

    Jones, Andrew

    1989-01-01

    AutoCAD-to-GIFTS translator program, ACTOG, developed to facilitate quick generation of small finite-element models using CASA/GIFTS finite-element modeling program. Reads geometric data of drawing from Data Exchange File (DXF) used in AutoCAD and other PC-based drafting programs. Geometric entities recognized by ACTOG include points, lines, arcs, solids, three-dimensional lines, and three-dimensional faces. From this information, ACTOG creates GIFTS SRC file, which then reads into GIFTS preprocessor BULKM or modified and reads into EDITM to create finite-element model. SRC file used as is or edited for any number of uses. Written in Microsoft Quick-Basic (Version 2.0).

  19. A model of auto immune response

    OpenAIRE

    Peterson, James K.; Kesson, Alison M.; King, Nicholas J. C.

    2017-01-01

    Background In this work, we develop a theoretical model of an auto immune response. This is based on modifications of standard second messenger trigger models using both signalling pathways and diffusion and a macro level dynamic systems approximation to the response of a triggering agent such as a virus, bacteria or environmental toxin. Results We show that there, in general, will be self damage effects whenever the triggering agent?s effect on the host can be separated into two distinct cla...

  20. Ridge regression revisited

    NARCIS (Netherlands)

    P.M.C. de Boer (Paul); C.M. Hafner (Christian)

    2005-01-01

    textabstractWe argue in this paper that general ridge (GR) regression implies no major complication compared with simple ridge regression. We introduce a generalization of an explicit GR estimator derived by Hemmerle and by Teekens and de Boer and show that this estimator, which is more

  1. Auto-recognition of surfaces and auto-generation of material removal volume for finishing process

    Science.gov (United States)

    Kataraki, Pramod S.; Salman Abu Mansor, Mohd

    2018-03-01

    Auto-recognition of a surface and auto-generation of material removal volumes for the so recognised surfaces has become a need to achieve successful downstream manufacturing activities like automated process planning and scheduling. Few researchers have contributed to generation of material removal volume for a product but resulted in material removal volume discontinuity between two adjacent material removal volumes generated from two adjacent faces that form convex geometry. The need for limitation free material removal volume generation was attempted and an algorithm that automatically recognises computer aided design (CAD) model’s surface and also auto-generate material removal volume for finishing process of the recognised surfaces was developed. The surfaces of CAD model are successfully recognised by the developed algorithm and required material removal volume is obtained. The material removal volume discontinuity limitation that occurred in fewer studies is eliminated.

  2. Applied linear regression

    CERN Document Server

    Weisberg, Sanford

    2013-01-01

    Praise for the Third Edition ""...this is an excellent book which could easily be used as a course text...""-International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illus

  3. Applied logistic regression

    CERN Document Server

    Hosmer, David W; Sturdivant, Rodney X

    2013-01-01

     A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-

  4. Open loop, auto reversing liquid nitrogen circulation thermal system for thermo vacuum chamber

    International Nuclear Information System (INIS)

    Naidu, M C A; Nolakha, Dinesh; Saharkar, B S; Kavani, K M; Patel, D R

    2012-01-01

    In a thermo vacuum chamber, attaining and controlling low and high temperatures (-100 Deg. C to +120 Deg. C) is a very important task. This paper describes the development of 'Open loop, auto reversing liquid nitrogen based thermal system'. System specifications, features, open loop auto reversing system, liquid nitrogen flow paths etc. are discussed in this paper. This thermal system consists of solenoid operated cryogenic valves, double embossed thermal plate (shroud), heating elements, temperature sensors and PLC. Bulky items like blowers, heating chambers, liquid nitrogen injection chambers, huge pipe lines and valves were not used. This entire thermal system is very simple to operate and PLC based, fully auto system with auto tuned to given set temperatures. This system requires a very nominal amount of liquid nitrogen (approx. 80 liters / hour) while conducting thermo vacuum tests. This system was integrated to 1.2m dia thermo vacuum chamber, as a part of its augmentation, to conduct extreme temperature cycling tests on passive antenna reflectors of satellites.

  5. Multiple Linear Regression

    Science.gov (United States)

    Grégoire, G.

    2014-12-01

    This chapter deals with the multiple linear regression. That is we investigate the situation where the mean of a variable depends linearly on a set of covariables. The noise is supposed to be gaussian. We develop the least squared method to get the parameter estimators and estimates of their precisions. This leads to design confidence intervals, prediction intervals, global tests, individual tests and more generally tests of submodels defined by linear constraints. Methods for model's choice and variables selection, measures of the quality of the fit, residuals study, diagnostic methods are presented. Finally identification of departures from the model's assumptions and the way to deal with these problems are addressed. A real data set is used to illustrate the methodology with software R. Note that this chapter is intended to serve as a guide for other regression methods, like logistic regression or AFT models and Cox regression.

  6. Integration

    DEFF Research Database (Denmark)

    Emerek, Ruth

    2004-01-01

    Bidraget diskuterer de forskellige intergrationsopfattelse i Danmark - og hvad der kan forstås ved vellykket integration......Bidraget diskuterer de forskellige intergrationsopfattelse i Danmark - og hvad der kan forstås ved vellykket integration...

  7. Glyph: Symbolic Regression Tools

    OpenAIRE

    Quade, Markus; Gout, Julien; Abel, Markus

    2018-01-01

    We present Glyph - a Python package for genetic programming based symbolic regression. Glyph is designed for usage let by numerical simulations let by real world experiments. For experimentalists, glyph-remote provides a separation of tasks: a ZeroMQ interface splits the genetic programming optimization task from the evaluation of an experimental (or numerical) run. Glyph can be accessed at http://github.com/ambrosys/glyph . Domain experts are be able to employ symbolic regression in their ex...

  8. Sarunvalodas elementi autožurnālos

    OpenAIRE

    Rode, Elīna

    2011-01-01

    Bakalaura darbs „Sarunvalodas elementi autožurnālos” ir pētījums, kas atspoguļo sarunvalodas elementu lietojumu autožurnālos. Darba mērķis: pētīt, sistematizēt un analizēt sarunvalodas elementu lietojumu autožurnālos, kas ir viens no publicistikas veidiem. Līdz šim sarunvalodas elementi autožurnālos nav pētīti nemaz. Darbu veido ievads un trīs galvenās daļas „Valodas funkcionālie paveidi”, „Sarunvaloda” un „Sarunvalodas elementi autožurnālos”, bet darbu noslēdz secinājumi. Autožurn...

  9. Pansharpening via sparse regression

    Science.gov (United States)

    Tang, Songze; Xiao, Liang; Liu, Pengfei; Huang, Lili; Zhou, Nan; Xu, Yang

    2017-09-01

    Pansharpening is an effective way to enhance the spatial resolution of a multispectral (MS) image by fusing it with a provided panchromatic image. Instead of restricting the coding coefficients of low-resolution (LR) and high-resolution (HR) images to be equal, we propose a pansharpening approach via sparse regression in which the relationship between sparse coefficients of HR and LR MS images is modeled by ridge regression and elastic-net regression simultaneously learning the corresponding dictionaries. The compact dictionaries are learned based on the sampled patch pairs from the high- and low-resolution images, which can greatly characterize the structural information of the LR MS and HR MS images. Later, taking the complex relationship between the coding coefficients of LR MS and HR MS images into account, the ridge regression is used to characterize the relationship of intrapatches. The elastic-net regression is employed to describe the relationship of interpatches. Thus, the HR MS image can be almost identically reconstructed by multiplying the HR dictionary and the calculated sparse coefficient vector with the learned regression relationship. The simulated and real experimental results illustrate that the proposed method outperforms several well-known methods, both quantitatively and perceptually.

  10. Theory and practice of Auto CAD, computer graphics

    International Nuclear Information System (INIS)

    Hwang, Si Won; Choe, Hong Yeong; Shin, Jae Yeon; Lee, Ryong Cheol

    1990-08-01

    This book describes theory and practice of Auto CAD, computer graphics, which deals with peripheral of computer, occurrence of digital line by DDA, BRM, theory of conversion, data base and display and shape modeling. This book gives descriptions of outline of CAD system, Auto CAD, basic function practice, simple figure practice, the third angle projection drawing a little complex single object, machine drawing I, function practice of improved Auto CAD, edit, set up layer, and 3D, and 3D display function.

  11. Integrando a promoção das metodologias Lean Manufacturing e Six Sigma na busca de produtividade e qualidade numa empresa fabricante de autopeças Integrating the promotion of Lean Manufacturing and Six Sigma methodologies in search of productivity and quality in an auto parts manufacturer

    Directory of Open Access Journals (Sweden)

    Iris Bento da Silva

    2011-01-01

    Full Text Available Dentre os diversos fatores críticos de sucesso que as empresas devem considerar, destaca-se a busca por padrões cada vez mais elevados de produtividade e qualidade. Neste contexto, o objetivo deste trabalho é apresentar uma iniciativa de integrar a promoção das metodologias Lean Manufacturing e Six Sigma na busca de um melhor desempenho operacional. Essa integração combina a aplicação de elementos de Lean Manufacturing, que visa à racionalização dos fluxos de valor por meio da redução de desperdícios, com elementos de Six Sigma, que visa à sistematização do processo de análise e controle da variação em processos para se obter qualidade superior. O trabalho é baseado num estudo de caso sobre as mudanças realizadas para a acomodação desta abordagem numa empresa fabricante de autopeças. São investigados a estrutura adotada para sua promoção bem como o modo em que os projetos de melhoria são desenvolvidos por meio dela. Os resultados obtidos indicam que a iniciativa de conciliar a aplicação destas duas metodologias pode contribuir para aprimorar e tornar mais abrangente e efetivo o processo de melhoria contínua.Among the diverse critical success factors that the firms must consider, the pursuit of increasingly higher standards of productivity and quality stands out. In this context, the purpose of this article is to present an initiative to integrate the promotion of the Lean Manufacturing and Six Sigma methodologies in seeking enhanced operational performance. This integration combines the application of Lean Manufacturing elements that aim at the streamlining of value streams by the elimination of wastes with Six Sigma elements which aim at the systematization of the analysis and control of process variation for accomplishing superior quality. This work is based on a case study on the changes undertaken for the implementation of this approach in an auto parts manufacturer. The organizational structure which was

  12. Eco-Material Selection for Auto Bodies

    Energy Technology Data Exchange (ETDEWEB)

    Mayyas, Ahmad T [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Omar, Mohammed [Masdar Institute of Science & Technology; Hayajneh, Mohammed T. [Jordan University of Science and Technology

    2017-09-25

    In the last decades, majority of automakers started to include lightweight materials in their vehicles to meet hard environmental regulations and to improve fuel efficiency of their vehicles. As a result, eco-material selection for vehicles emerged as a new discipline under design for environment. This chapter will summarize methods of eco-material selections for automotive applications with more emphasis into auto-bodies. A set of metrics for eco-material selection that takes into account all economic, environmental and social factors will be developed using numerical and qualitative methods. These metrics cover products' environmental impact, functionality and manufacturability, in addition to the economic and societal factors.

  13. Vector regression introduced

    Directory of Open Access Journals (Sweden)

    Mok Tik

    2014-06-01

    Full Text Available This study formulates regression of vector data that will enable statistical analysis of various geodetic phenomena such as, polar motion, ocean currents, typhoon/hurricane tracking, crustal deformations, and precursory earthquake signals. The observed vector variable of an event (dependent vector variable is expressed as a function of a number of hypothesized phenomena realized also as vector variables (independent vector variables and/or scalar variables that are likely to impact the dependent vector variable. The proposed representation has the unique property of solving the coefficients of independent vector variables (explanatory variables also as vectors, hence it supersedes multivariate multiple regression models, in which the unknown coefficients are scalar quantities. For the solution, complex numbers are used to rep- resent vector information, and the method of least squares is deployed to estimate the vector model parameters after transforming the complex vector regression model into a real vector regression model through isomorphism. Various operational statistics for testing the predictive significance of the estimated vector parameter coefficients are also derived. A simple numerical example demonstrates the use of the proposed vector regression analysis in modeling typhoon paths.

  14. Investigating the Simulink Auto-Coding Process

    Science.gov (United States)

    Gualdoni, Matthew J.

    2016-01-01

    Model based program design is the most clear and direct way to develop algorithms and programs for interfacing with hardware. While coding "by hand" results in a more tailored product, the ever-growing size and complexity of modern-day applications can cause the project work load to quickly become unreasonable for one programmer. This has generally been addressed by splitting the product into separate modules to allow multiple developers to work in parallel on the same project, however this introduces new potentials for errors in the process. The fluidity, reliability and robustness of the code relies on the abilities of the programmers to communicate their methods to one another; furthermore, multiple programmers invites multiple potentially differing coding styles into the same product, which can cause a loss of readability or even module incompatibility. Fortunately, Mathworks has implemented an auto-coding feature that allows programmers to design their algorithms through the use of models and diagrams in the graphical programming environment Simulink, allowing the designer to visually determine what the hardware is to do. From here, the auto-coding feature handles converting the project into another programming language. This type of approach allows the designer to clearly see how the software will be directing the hardware without the need to try and interpret large amounts of code. In addition, it speeds up the programming process, minimizing the amount of man-hours spent on a single project, thus reducing the chance of human error as well as project turnover time. One such project that has benefited from the auto-coding procedure is Ramses, a portion of the GNC flight software on-board Orion that has been implemented primarily in Simulink. Currently, however, auto-coding Ramses into C++ requires 5 hours of code generation time. This causes issues if the tool ever needs to be debugged, as this code generation will need to occur with each edit to any part of

  15. Web proxy auto discovery for the WLCG

    CERN Document Server

    Dykstra, D; Blumenfeld, B; De Salvo, A; Dewhurst, A; Verguilov, V

    2017-01-01

    All four of the LHC experiments depend on web proxies (that is, squids) at each grid site to support software distribution by the CernVM FileSystem (CVMFS). CMS and ATLAS also use web proxies for conditions data distributed through the Frontier Distributed Database caching system. ATLAS & CMS each have their own methods for their grid jobs to find out which web proxies to use for Frontier at each site, and CVMFS has a third method. Those diverse methods limit usability and flexibility, particularly for opportunistic use cases, where an experiment’s jobs are run at sites that do not primarily support that experiment. This paper describes a new Worldwide LHC Computing Grid (WLCG) system for discovering the addresses of web proxies. The system is based on an internet standard called Web Proxy Auto Discovery (WPAD). WPAD is in turn based on another standard called Proxy Auto Configuration (PAC). Both the Frontier and CVMFS clients support this standard. The input into the WLCG system comes from squids regis...

  16. Minimax Regression Quantiles

    DEFF Research Database (Denmark)

    Bache, Stefan Holst

    A new and alternative quantile regression estimator is developed and it is shown that the estimator is root n-consistent and asymptotically normal. The estimator is based on a minimax ‘deviance function’ and has asymptotically equivalent properties to the usual quantile regression estimator. It is......, however, a different and therefore new estimator. It allows for both linear- and nonlinear model specifications. A simple algorithm for computing the estimates is proposed. It seems to work quite well in practice but whether it has theoretical justification is still an open question....

  17. Practical Session: Logistic Regression

    Science.gov (United States)

    Clausel, M.; Grégoire, G.

    2014-12-01

    An exercise is proposed to illustrate the logistic regression. One investigates the different risk factors in the apparition of coronary heart disease. It has been proposed in Chapter 5 of the book of D.G. Kleinbaum and M. Klein, "Logistic Regression", Statistics for Biology and Health, Springer Science Business Media, LLC (2010) and also by D. Chessel and A.B. Dufour in Lyon 1 (see Sect. 6 of http://pbil.univ-lyon1.fr/R/pdf/tdr341.pdf). This example is based on data given in the file evans.txt coming from http://www.sph.emory.edu/dkleinb/logreg3.htm#data.

  18. Auto-Gopher-II: an autonomous wireline rotary-hammer ultrasonic drill

    Science.gov (United States)

    Badescu, Mircea; Lee, Hyeong Jae; Sherrit, Stewart; Bao, Xiaoqi; Bar-Cohen, Yoseph; Jackson, Shannon; Chesin, Jacob; Zacny, Kris; Paulsen, Gale L.; Mellerowicz, Bolek; Kim, Daniel

    2017-04-01

    Developing technologies that would enable future NASA exploration missions to penetrate deeper into the subsurface of planetary bodies for sample collection is of great importance. Performing these tasks while using minimal mass/volume systems and with low energy consumption is another set of requirements imposed on such technologies. A deep drill, called Auto-Gopher II, is currently being developed as a joint effort between JPL's NDEAA laboratory and Honeybee Robotics Corp. The Auto-Gopher II is a wireline rotary-hammer drill that combines formation breaking by hammering using an ultrasonic actuator and cuttings removal by rotating a fluted auger bit. The hammering mechanism is based on the Ultrasonic/Sonic Drill/Corer (USDC) mechanism that has been developed as an adaptable tool for many drilling and coring applications. The USDC uses an intermediate free-flying mass to transform high frequency vibrations of a piezoelectric transducer horn tip into sonic hammering of the drill bit. The USDC concept was used in a previous task to develop an Ultrasonic/Sonic Ice Gopher and then integrated into a rotary hammer device to develop the Auto-Gopher-I. The lessons learned from these developments are being integrated into the development of the Auto- Gopher-II, an autonomous deep wireline drill with integrated cuttings and sample management and drive electronics. Subsystems of the wireline drill are being developed in parallel at JPL and Honeybee Robotics Ltd. This paper presents the development efforts of the piezoelectric actuator, cuttings removal and retention flutes and drive electronics.

  19. Economic evaluation of epinephrine auto-injectors for peanut allergy.

    Science.gov (United States)

    Shaker, Marcus; Bean, Katherine; Verdi, Marylee

    2017-08-01

    Three commercial epinephrine auto-injectors were available in the United States in the summer of 2016: EpiPen, Adrenaclick, and epinephrine injection, USP auto-injector. To describe the variation in pharmacy costs among epinephrine auto-injector devices in New England and evaluate the additional expense associated with incremental auto-injector costs. Decision analysis software was used to evaluate costs of the most and least expensive epinephrine auto-injector devices for children with peanut allergy. To evaluate regional variation in epinephrine auto-injector costs, a random sample of New England national and corporate pharmacies was compared with a convenience sample of pharmacies from 10 Canadian provinces. Assuming prescriptions written for 2 double epinephrine packs each year (home and school), the mean costs of food allergy over the 20-year model horizon totaled $58,667 (95% confidence interval [CI] $57,745-$59,588) when EpiPen was prescribed and $45,588 (95% CI $44,873-$46,304) when epinephrine injection, USP auto-injector was prescribed. No effectiveness differences were evident between groups, with 17.19 (95% CI 17.11-17.27) quality-adjusted life years accruing for each subject. The incremental cost per episode of anaphylaxis treated with epinephrine over the model horizon was $12,576 for EpiPen vs epinephrine injection, USP auto-injector. EpiPen costs were lowest at Canadian pharmacies ($96, 95% CI $85-$107). There was price consistency between corporate and independent pharmacies throughout New England by device brand, with the epinephrine injection, USP auto-injector being the most affordable device. Cost differences among epinephrine auto-injectors were significant. More expensive auto-injector brands did not appear to provide incremental benefit. Copyright © 2017 American College of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

  20. Software Regression Verification

    Science.gov (United States)

    2013-12-11

    of recursive procedures. Acta Informatica , 45(6):403 – 439, 2008. [GS11] Benny Godlin and Ofer Strichman. Regression verifica- tion. Technical Report...functions. Therefore, we need to rede - fine m-term. – Mutual termination. If either function f or function f ′ (or both) is non- deterministic, then their

  1. Multiple linear regression analysis

    Science.gov (United States)

    Edwards, T. R.

    1980-01-01

    Program rapidly selects best-suited set of coefficients. User supplies only vectors of independent and dependent data and specifies confidence level required. Program uses stepwise statistical procedure for relating minimal set of variables to set of observations; final regression contains only most statistically significant coefficients. Program is written in FORTRAN IV for batch execution and has been implemented on NOVA 1200.

  2. Mechanisms of neuroblastoma regression

    Science.gov (United States)

    Brodeur, Garrett M.; Bagatell, Rochelle

    2014-01-01

    Recent genomic and biological studies of neuroblastoma have shed light on the dramatic heterogeneity in the clinical behaviour of this disease, which spans from spontaneous regression or differentiation in some patients, to relentless disease progression in others, despite intensive multimodality therapy. This evidence also suggests several possible mechanisms to explain the phenomena of spontaneous regression in neuroblastomas, including neurotrophin deprivation, humoral or cellular immunity, loss of telomerase activity and alterations in epigenetic regulation. A better understanding of the mechanisms of spontaneous regression might help to identify optimal therapeutic approaches for patients with these tumours. Currently, the most druggable mechanism is the delayed activation of developmentally programmed cell death regulated by the tropomyosin receptor kinase A pathway. Indeed, targeted therapy aimed at inhibiting neurotrophin receptors might be used in lieu of conventional chemotherapy or radiation in infants with biologically favourable tumours that require treatment. Alternative approaches consist of breaking immune tolerance to tumour antigens or activating neurotrophin receptor pathways to induce neuronal differentiation. These approaches are likely to be most effective against biologically favourable tumours, but they might also provide insights into treatment of biologically unfavourable tumours. We describe the different mechanisms of spontaneous neuroblastoma regression and the consequent therapeutic approaches. PMID:25331179

  3. Bounded Gaussian process regression

    DEFF Research Database (Denmark)

    Jensen, Bjørn Sand; Nielsen, Jens Brehm; Larsen, Jan

    2013-01-01

    We extend the Gaussian process (GP) framework for bounded regression by introducing two bounded likelihood functions that model the noise on the dependent variable explicitly. This is fundamentally different from the implicit noise assumption in the previously suggested warped GP framework. We...

  4. Digital Auto-Oscillator of a Dithering Ring Laser Gyro

    Directory of Open Access Journals (Sweden)

    V. N. Enin

    2015-01-01

    Full Text Available This paper presents a digital auto-oscillator for mechanically dithering Ring Laser Gyro (RLG and method for automatic control of angular oscillation parameters of inertial sensor. A drive signal pulse-width modulation of the auto-oscillator torque sensor excites angular oscillations.Digital auto-oscillator circuit features are as follows: excluding the analog angle sensors from RLG structure, dither signal remover at the RLG output is digital filter, angular rate positive feedback, pulse-width control of auto-oscillator torque sensor by digital signal which provides a preset mode of the dither with random noise.The paper presents a designed mathematical model of the RLG measurement channel together with the auto-oscillator. The mathematical model includes two nonlinearities. The computational experiment allowed us to conduct the following researches: transition process of establishing auto-oscillations since switching on, quasi-steady auto-oscillation mode with frequency and amplitude noise, parameters of auto-oscillations affected by severe operating conditions such as object maneuvers at high speeds and accelerations, high-frequency angular vibration of the RLG base near the resonance frequency of a dither remover. The paper shows efficiency of autooscillator with the specified parameters of a combined type dither with frequency fluctuations.

  5. Auto-ionizing states in MgI

    International Nuclear Information System (INIS)

    El-Sherbini, Th.M.; Rahman, A.A.

    1982-01-01

    Hartree-Fock calculations have been performed for the auto-ionizing levels of the 3pns, 3pnp, 4snp (n=4 to 7) and 3pnd (n=3 to 7) series in MgI. The calculated energies of the auto-ionizing states are compared with the available results from photo-absorption measurements and ejected-electron experiments. (author)

  6. Auto-immune encefalitis in de psychiatrische praktijk

    NARCIS (Netherlands)

    de Witte, L; Kromkamp, M|info:eu-repo/dai/nl/241613876; Schoenmaker, N; van Mierlo, H C|info:eu-repo/dai/nl/413967263; Martinez-Martínez, P; Palmen, S J M; Sommer, I E C|info:eu-repo/dai/nl/258791519

    BACKGROUND: Our knowledge about auto-immune limbic encephalitis is increasing rapidly and it is now evident that patients with this disease can present with psychiatric symptoms. AIM: To propose practical guidelines for the recognition and diagnosis of an underlying auto-immune limbic encephalitis

  7. Kommest Auto ostmisest huvitub ka Hillar Teder / Andres Eilart

    Index Scriptorium Estoniae

    Eilart, Andres

    2008-01-01

    Kommest Auto ostmise vastu tunnevad huvi suurärimees Andres Sarri, Rootsis Peugeot' sõidukeid müüv Taani päritolu K. W. Bruun Import ja multimiljonär Hillar Teder, kellele kuulub Audisid müüv Reval Auto

  8. Sarri võttis Talleksiga taanlastelt Saksa Auto / Villy Paimets

    Index Scriptorium Estoniae

    Paimets, Villy, 1972-

    2005-01-01

    Andres Sarri poolt kontrollitav AS Talleks ostis Taani partnerilt Semler Holding välja 50-protsendilise osaluse AS-is Saksa Auto. Lisa: Viimastel aastatel eestlaste poolt välja ostetud ettevõtted. Diagramm: Saksa Auto tulemused paranesid mullu märgatavalt. Vt. samas: Sarri: me ei tee halbu tehinguid; Peeter Raidla. Tuleristsed 90ndate alguse võimuvõitlusest

  9. Rüütmann taandub Kommest Auto juhtimisest / Kaisa Tahlfeld

    Index Scriptorium Estoniae

    Tahlfeld, Kaisa

    2007-01-01

    AS-i Kommest Auto asutaja ja omanik Toomas Rüütmann loobub ettevõtte juhtimisest, kuid jätkab juhatuse liikmena ning keskendub eksportturgudele ja koostööle edasimüüjatega. Kommest Auto uueks juhiks saab Raido Toonekurg. Lisa: Mis on mis; Taust

  10. Auto concept y rasgos de personalidad: Un estudio correlacional

    Directory of Open Access Journals (Sweden)

    Débora Cecílio Fernandes

    Full Text Available Este estudio ha investigado las relaciones entre los rasgos de personalidad y auto concepto. Fueron aplicadas la Escala de Traços de Personalidade para Crianças y la Escala de Autoconceito Infanto-Juvenil en 389 niños, con edad de 8 a 10 años de escuelas públicas y particulares. Se han hallado diferencias de sexo para casi todas las medidas hechas. Para los varones, ha sido observado correlaciones positivas entre extroversión y auto conceptos escolar y familiar, neuroticismo y psicoticismo con auto conceptos personal y social, y sociabilidad con auto concepto familiar; y correlaciones negativas entre extroversión y auto concepto social, psicoticismo y auto concepto familiar, y sociabilidad y auto concepto personal. Para las niñas, fueron observadas correlaciones positivas entre el auto concepto social y psicoticismo y sociabilidad con el familiar; y correlaciones negativas entre extroversión y el social, psicoticismo y neuroticismo con el familiar. Los análisis de los grupos extremos confirmaron los datos encontrados.

  11. Auto-correlation analysis of ocean surface wind vectors

    Indian Academy of Sciences (India)

    M. Senthilkumar (Newgen Imaging) 1461 1996 Oct 15 13:05:22

    In this work, an auto-correlation analysis of a time series data of surface winds measured in situ by a deep water buoy in the Indian Ocean has been carried out. Hourly time series data available for 240 hours in the month of May, 1999 were subjected to an auto-correlation analysis. The analysis indicates an exponential fall ...

  12. 46 CFR 122.360 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Use of auto pilot. 122.360 Section 122.360 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS CARRYING MORE THAN 150... Requirements § 122.360 Use of auto pilot. Whenever an automatic pilot is used the master shall ensure that: (a...

  13. 46 CFR 167.65-35 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Use of auto pilot. 167.65-35 Section 167.65-35 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) NAUTICAL SCHOOLS PUBLIC NAUTICAL SCHOOL SHIPS Special Operating Requirements § 167.65-35 Use of auto pilot. Except as provided in 33 CFR 164.15, when...

  14. 46 CFR 109.585 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Use of auto pilot. 109.585 Section 109.585 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) A-MOBILE OFFSHORE DRILLING UNITS OPERATIONS Miscellaneous § 109.585 Use of auto pilot. Except as provided in 33 CFR 164.15, when the automatic pilot is used...

  15. 46 CFR 185.360 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Use of auto pilot. 185.360 Section 185.360 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS (UNDER 100 GROSS TONS) OPERATIONS Miscellaneous Operating Requirements § 185.360 Use of auto pilot. Whenever an automatic pilot is...

  16. 46 CFR 131.960 - Use of auto-pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Use of auto-pilot. 131.960 Section 131.960 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) OFFSHORE SUPPLY VESSELS OPERATIONS Miscellaneous § 131.960 Use of auto-pilot. When the automatic pilot is used in areas of high traffic density...

  17. Low auto-fluorescence fabrication methods for plastic nanoslits.

    Science.gov (United States)

    Yin, Zhifu; Qi, Liping; Zou, Helin; Sun, Lei; Xu, Shenbo

    2016-04-01

    Plastic nanofluidic devices are becoming increasingly important for biological and chemical applications. However, they suffer from high auto-fluorescence when used for on-chip optical detection. In this study, the auto-fluorescence problem of plastic nanofluidic devices was remedied by newly developed fabrication methods that minimise their auto-fluorescence: one by depositing a gold (Au) layer on them, the other by making them ultra-thin. In the first method, the Au layer [minimum thickness is 40 nm on 150 μm SU-8, 50 nm on 1 mm polyethylene terephthalate (PET), and 40 on 2 nm polymethyl methacrylate (PMMA)] blocks the auto-fluorescence of the polymer; in the second method, auto-fluorescence is minimised by making the chips ultra-thin, selected operating thickness of SU-8 is 20 μm, for PET it is 150 μm, and for PMMA it is 0.8 mm.

  18. Accuracy and precision of the Prodigy AutoCode blood glucose monitor.

    Science.gov (United States)

    Prohaska, Emily S; Herring, Charles; Russell, Gregory B; Smith, Jennifer D

    2012-04-01

    To assess the accuracy and precision of the Prodigy AutoCode blood glucose monitor. This open-label, prospective equivalence study was conducted at Wilson Community Health Center in Wilson, North Carolina. Accuracy was assessed by comparing finger stick blood glucose values to venipuncture. Precision was assessed by comparing consecutive finger stick blood glucose values from 2 Prodigy AutoCode monitors. Data were analyzed using paired t tests, signed rank tests, regression, and mixed effect models. Fifty-three subjects completed the study. Meter 1 produced 14 (26%) and meter 2 produced 13 (25%) blood glucose readings outside the acceptable error margin of ±20% set by the International Organization for Standardization (ISO) and the Food and Drug Administration (FDA). Neither meter was accurate compared to venipuncture (P Prodigy AutoCode demonstrated precision between two different monitors but was inaccurate compared to venipuncture. Less than the required 95% of blood glucose values from each monitor fell within the acceptable 20% error margin relative to venipuncture. All readings outside the acceptable error margin were overestimations, indicating potentially significant safety concerns including untreated or undertreated hypoglycemia.

  19. Subset selection in regression

    CERN Document Server

    Miller, Alan

    2002-01-01

    Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author has thoroughly updated each chapter, incorporated new material on recent developments, and included more examples and references. New in the Second Edition:A separate chapter on Bayesian methodsComplete revision of the chapter on estimationA major example from the field of near infrared spectroscopyMore emphasis on cross-validationGreater focus on bootstrappingStochastic algorithms for finding good subsets from large numbers of predictors when an exhaustive search is not feasible Software available on the Internet for implementing many of the algorithms presentedMore examplesSubset Selection in Regression, Second Edition remains dedicated to the techniques for fitting...

  20. Female Infertility and Serum Auto-antibodies: a Systematic Review.

    Science.gov (United States)

    Deroux, Alban; Dumestre-Perard, Chantal; Dunand-Faure, Camille; Bouillet, Laurence; Hoffmann, Pascale

    2017-08-01

    On average, 10 % of infertile couples have unexplained infertility. Auto-immune disease (systemic lupus erythematosus, anti-phospholipid syndrome) accounts for a part of these cases. In the last 20 years, aspecific auto-immunity, defined as positivity of auto-antibodies in blood sample without clinical or biological criteria for defined diseases, has been evoked in a subpopulation of infertile women. A systematic review was performed (PUBMED) using the MESH search terms "infertility" and "auto-immunity" or "reproductive technique" or "assisted reproduction" or "in vitro fertilization" and "auto-immunity." We retained clinical and physiopathological studies that were applicable to the clinician in assuming joint management of both infertility associated with serum auto-antibodies in women. Thyroid auto-immunity which affects thyroid function could be a cause of infertility; even in euthyroidia, the presence of anti-thyroperoxydase antibodies and/or thyroglobulin are related to infertility. The presence of anti-phospholipid (APL) and/or anti-nuclear (ANA) antibodies seems to be more frequent in the population of infertile women; serum auto-antibodies are associated with early ovarian failure, itself responsible for fertility disorders. However, there exist few publications on this topic. The methods of dosage, as well as the clinical criteria of unexplained infertility deserve to be standardized to allow a precise response to the question of the role of serum auto-antibodies in these women. The direct pathogenesis of this auto-immunity is unknown, but therapeutic immunomodulators, prescribed on a case-by-case basis, could favor pregnancy even in cases of unexplained primary or secondary infertility.

  1. Regression in organizational leadership.

    Science.gov (United States)

    Kernberg, O F

    1979-02-01

    The choice of good leaders is a major task for all organizations. Inforamtion regarding the prospective administrator's personality should complement questions regarding his previous experience, his general conceptual skills, his technical knowledge, and the specific skills in the area for which he is being selected. The growing psychoanalytic knowledge about the crucial importance of internal, in contrast to external, object relations, and about the mutual relationships of regression in individuals and in groups, constitutes an important practical tool for the selection of leaders.

  2. Classification and regression trees

    CERN Document Server

    Breiman, Leo; Olshen, Richard A; Stone, Charles J

    1984-01-01

    The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.

  3. Better Autologistic Regression

    Directory of Open Access Journals (Sweden)

    Mark A. Wolters

    2017-11-01

    Full Text Available Autologistic regression is an important probability model for dichotomous random variables observed along with covariate information. It has been used in various fields for analyzing binary data possessing spatial or network structure. The model can be viewed as an extension of the autologistic model (also known as the Ising model, quadratic exponential binary distribution, or Boltzmann machine to include covariates. It can also be viewed as an extension of logistic regression to handle responses that are not independent. Not all authors use exactly the same form of the autologistic regression model. Variations of the model differ in two respects. First, the variable coding—the two numbers used to represent the two possible states of the variables—might differ. Common coding choices are (zero, one and (minus one, plus one. Second, the model might appear in either of two algebraic forms: a standard form, or a recently proposed centered form. Little attention has been paid to the effect of these differences, and the literature shows ambiguity about their importance. It is shown here that changes to either coding or centering in fact produce distinct, non-nested probability models. Theoretical results, numerical studies, and analysis of an ecological data set all show that the differences among the models can be large and practically significant. Understanding the nature of the differences and making appropriate modeling choices can lead to significantly improved autologistic regression analyses. The results strongly suggest that the standard model with plus/minus coding, which we call the symmetric autologistic model, is the most natural choice among the autologistic variants.

  4. Aid and growth regressions

    DEFF Research Database (Denmark)

    Hansen, Henrik; Tarp, Finn

    2001-01-01

    . There are, however, decreasing returns to aid, and the estimated effectiveness of aid is highly sensitive to the choice of estimator and the set of control variables. When investment and human capital are controlled for, no positive effect of aid is found. Yet, aid continues to impact on growth via...... investment. We conclude by stressing the need for more theoretical work before this kind of cross-country regressions are used for policy purposes....

  5. Gasification characteristics of auto shredder residue

    International Nuclear Information System (INIS)

    Navee, S.; Ramzan, N.

    2011-01-01

    Given the large volume of used tyre waste generated each year it is imperative that suitable re-use and disposal techniques are developed for dealing with this problem; presently these include rethreading, reprocessing for use as safe playground and sports surfaces, use as noise reduction barriers and utilisation as a fuel source. This paper reports on pilot scale studies designed to investigate the suitability of automotive waste for energy recovery via gasification. The study was carried out into auto shredder residue, which is a mixture of three distinct waste streams: tyres, rubber/plastic and general automotive waste. The tests included proximate, ultimate and elemental analysis, TGA, as well as calorific value determinations. In addition, the waste was tested in a desktop gasifier, and analysis was carried out to determine the presence and type of combustible gases. It was concluded that tyre waste and rubber/plastic waste are quite suitable fuels for gasification. (author)

  6. Auto-choreography: Animating Sentient Archives

    Directory of Open Access Journals (Sweden)

    Kim Satchell

    2010-03-01

    Full Text Available The stories lives tell, the narratives they follow and the spaces they embody are critical to articulating the conditions of everyday life. This resonates in the fraught relations within and between surf cultures, affluent societies and economic development. In the context of Rural Cultural Studies the analysis of coastal place allows for a combination of self-reflexive, critical and transformative modes of inquiry. This pedagogy of the coast offers innovative approaches to contemporary anthropogenic and existential challenges. For the Ecological Humanities, adjusting to living synergistically requires dialogue, ethical frameworks and care. This includes attention to the more-than human world and the non-human inhabitants with whose lives people become entangled in the mutuality of wandering paths and shared haunts. The imaginary-material architectures and geographies of these samples of coastal life, are topographies woven of spatiality and contemporary coastal writing. These contemplations attempt to sketch performative interactions from the auto-choreography animating sentient archives.

  7. AutoPyFactory and the Cloud

    CERN Document Server

    Caballero, J; The ATLAS collaboration; Love, P

    2013-01-01

    AutoPyFactory (APF) is a next-generation pilot submission framework that has been used as part of the ATLAS workload management system (PANDA) for two years. APF is reliable, scalable, and offers easy and flexible configuration. Using a plugin-based architecture, APF polls for information from configured information and batch systems (including grid sites), decides how many additional pilot jobs are needed, and submits them. With the advent of cloud computing, providing resources goes beyond submitting pilots to grid sites. Now, the resources on which the pilot will run also need to be managed. Handling both pilot submission and controlling the virtual machine life cycle (creation, retirement, and termination) from the same framework allows robust and efficient management of the process. In this paper we describe the design and implementation of these virtual machine management capabilities of APF. Expanding on our plugin-based approach, we allow cascades of virtual resources associated with a job queue. A si...

  8. Auto-Gerontology: A Personal Odyssey.

    Science.gov (United States)

    Palmore, Erdman B

    2017-11-01

    The four leading theories of optimal aging are activity, continuity, successful aging, and selective optimization with adaptation. All tend to support the slogan, "Use it or lose it." I have tried to continue using my abilities in four key areas: professional, volunteer, personal relationships, and physical fitness. Ageism also has become personal for me because I have made it a personal priority to do what I can to reduce ageism. This includes research and writing, developing a list of 45 advantages to aging, avoiding ageist jokes and language, developing positive slogans about aging, maintaining personal fitness, going on birthday adventures, and being proud of my age (85). I close with answers to some questions about auto-gerontology.

  9. Logistic regression models

    CERN Document Server

    Hilbe, Joseph M

    2009-01-01

    This book really does cover everything you ever wanted to know about logistic regression … with updates available on the author's website. Hilbe, a former national athletics champion, philosopher, and expert in astronomy, is a master at explaining statistical concepts and methods. Readers familiar with his other expository work will know what to expect-great clarity.The book provides considerable detail about all facets of logistic regression. No step of an argument is omitted so that the book will meet the needs of the reader who likes to see everything spelt out, while a person familiar with some of the topics has the option to skip "obvious" sections. The material has been thoroughly road-tested through classroom and web-based teaching. … The focus is on helping the reader to learn and understand logistic regression. The audience is not just students meeting the topic for the first time, but also experienced users. I believe the book really does meet the author's goal … .-Annette J. Dobson, Biometric...

  10. riskRegression

    DEFF Research Database (Denmark)

    Ozenne, Brice; Sørensen, Anne Lyngholm; Scheike, Thomas

    2017-01-01

    In the presence of competing risks a prediction of the time-dynamic absolute risk of an event can be based on cause-specific Cox regression models for the event and the competing risks (Benichou and Gail, 1990). We present computationally fast and memory optimized C++ functions with an R interfac...... functionals. The software presented here is implemented in the riskRegression package.......In the presence of competing risks a prediction of the time-dynamic absolute risk of an event can be based on cause-specific Cox regression models for the event and the competing risks (Benichou and Gail, 1990). We present computationally fast and memory optimized C++ functions with an R interface...... for predicting the covariate specific absolute risks, their confidence intervals, and their confidence bands based on right censored time to event data. We provide explicit formulas for our implementation of the estimator of the (stratified) baseline hazard function in the presence of tied event times. As a by...

  11. Gbm.auto: A software tool to simplify spatial modelling and Marine Protected Area planning.

    Directory of Open Access Journals (Sweden)

    Simon Dedman

    Full Text Available Marine resource managers and scientists often advocate spatial approaches to manage data-poor species. Existing spatial prediction and management techniques are either insufficiently robust, struggle with sparse input data, or make suboptimal use of multiple explanatory variables. Boosted Regression Trees feature excellent performance and are well suited to modelling the distribution of data-limited species, but are extremely complicated and time-consuming to learn and use, hindering access for a wide potential user base and therefore limiting uptake and usage.We have built a software suite in R which integrates pre-existing functions with new tailor-made functions to automate the processing and predictive mapping of species abundance data: by automating and greatly simplifying Boosted Regression Tree spatial modelling, the gbm.auto R package suite makes this powerful statistical modelling technique more accessible to potential users in the ecological and modelling communities. The package and its documentation allow the user to generate maps of predicted abundance, visualise the representativeness of those abundance maps and to plot the relative influence of explanatory variables and their relationship to the response variables. Databases of the processed model objects and a report explaining all the steps taken within the model are also generated. The package includes a previously unavailable Decision Support Tool which combines estimated escapement biomass (the percentage of an exploited population which must be retained each year to conserve it with the predicted abundance maps to generate maps showing the location and size of habitat that should be protected to conserve the target stocks (candidate MPAs, based on stakeholder priorities, such as the minimisation of fishing effort displacement.By bridging the gap between advanced statistical methods for species distribution modelling and conservation science, management and policy, these

  12. Ridge Regression: A Regression Procedure for Analyzing correlated Independent Variables

    Science.gov (United States)

    Rakow, Ernest A.

    1978-01-01

    Ridge regression is a technique used to ameliorate the problem of highly correlated independent variables in multiple regression analysis. This paper explains the fundamentals of ridge regression and illustrates its use. (JKS)

  13. SU-E-I-97: Smart Auto-Planning Framework in An EMR Environment (SAFEE)

    International Nuclear Information System (INIS)

    Zhang, B; Chen, S; Mutaf, Y; Prado, K; D'Souza, W

    2014-01-01

    Purpose: Our Radiation Oncology Department uses clinical practice guidelines for patient treatment, including normal tissue sparing and other dosimetric constraints. These practice guidelines were adapted from national guidelines, clinical trials, literature reviews, and practitioner's own experience. Modern treatment planning systems (TPS) have the capability of incorporating these practice guidelines to automatically create radiation therapy treatment plans with little human intervention. We are developing a software infrastructure to integrate clinical practice guidelines and radiation oncology electronic medical record (EMR) system into radiation therapy treatment planning system (TPS) for auto planning. Methods: Our Smart Auto-Planning Framework in an EMR environment (SAFEE) uses a software pipeline framework to integrate practice guidelines,EMR, and TPS together. The SAFEE system starts with retrieving diagnosis information and physician's prescription from the EMR system. After approval of contouring, SAFEE will automatically create plans according to our guidelines. Based on clinical objectives, SAFEE will automatically select treatment delivery techniques (such as, 3DRT/IMRT/VMAT) and optimize plans. When necessary, SAFEE will create multiple treatment plans with different combinations of parameters. SAFEE's pipeline structure makes it very flexible to integrate various techniques, such as, Model-Base Segmentation (MBS) and plan optimization algorithms, e.g., Multi-Criteria Optimization (MCO). In addition, SAFEE uses machine learning, data mining techniques, and an integrated database to create clinical knowledgebase and then answer clinical questions, such as, how to score plan quality or how volume overlap affects physicians' decision in beam and treatment technique selection. Results: In our institution, we use Varian Aria EMR system and RayStation TPS from RaySearch, whose ScriptService API allows control by external programs. These applications are

  14. Regression to Causality

    DEFF Research Database (Denmark)

    Bordacconi, Mats Joe; Larsen, Martin Vinæs

    2014-01-01

    Humans are fundamentally primed for making causal attributions based on correlations. This implies that researchers must be careful to present their results in a manner that inhibits unwarranted causal attribution. In this paper, we present the results of an experiment that suggests regression...... more likely. Our experiment drew on a sample of 235 university students from three different social science degree programs (political science, sociology and economics), all of whom had received substantial training in statistics. The subjects were asked to compare and evaluate the validity...

  15. Adaptive metric kernel regression

    DEFF Research Database (Denmark)

    Goutte, Cyril; Larsen, Jan

    2000-01-01

    Kernel smoothing is a widely used non-parametric pattern recognition technique. By nature, it suffers from the curse of dimensionality and is usually difficult to apply to high input dimensions. In this contribution, we propose an algorithm that adapts the input metric used in multivariate...... regression by minimising a cross-validation estimate of the generalisation error. This allows to automatically adjust the importance of different dimensions. The improvement in terms of modelling performance is illustrated on a variable selection task where the adaptive metric kernel clearly outperforms...

  16. Adaptive Metric Kernel Regression

    DEFF Research Database (Denmark)

    Goutte, Cyril; Larsen, Jan

    1998-01-01

    Kernel smoothing is a widely used nonparametric pattern recognition technique. By nature, it suffers from the curse of dimensionality and is usually difficult to apply to high input dimensions. In this paper, we propose an algorithm that adapts the input metric used in multivariate regression...... by minimising a cross-validation estimate of the generalisation error. This allows one to automatically adjust the importance of different dimensions. The improvement in terms of modelling performance is illustrated on a variable selection task where the adaptive metric kernel clearly outperforms the standard...

  17. Causes of Urban Sprawl in the United States: Auto Reliance as Compared to Natural Evolution, Flight from Blight, and Local Revenue Reliance

    Science.gov (United States)

    Wassmer, Robert W.

    2008-01-01

    This paper describes a statistical study of the contribution of theories previously offered by economists to explain differences in the degree of urban decentralization in the U.S. The focus is on a relative comparison of the influence of auto reliance. A regression analysis reveals that a 10 percent reduction in the percentage of households…

  18. Development and validation of an automated delirium risk assessment system (Auto-DelRAS) implemented in the electronic health record system.

    Science.gov (United States)

    Moon, Kyoung-Ja; Jin, Yinji; Jin, Taixian; Lee, Sun-Mi

    2018-01-01

    A key component of the delirium management is prevention and early detection. To develop an automated delirium risk assessment system (Auto-DelRAS) that automatically alerts health care providers of an intensive care unit (ICU) patient's delirium risk based only on data collected in an electronic health record (EHR) system, and to evaluate the clinical validity of this system. Cohort and system development designs were used. Medical and surgical ICUs in two university hospitals in Seoul, Korea. A total of 3284 patients for the development of Auto-DelRAS, 325 for external validation, 694 for validation after clinical applications. The 4211 data items were extracted from the EHR system and delirium was measured using CAM-ICU (Confusion Assessment Method for Intensive Care Unit). The potential predictors were selected and a logistic regression model was established to create a delirium risk scoring algorithm to construct the Auto-DelRAS. The Auto-DelRAS was evaluated at three months and one year after its application to clinical practice to establish the predictive validity of the system. Eleven predictors were finally included in the logistic regression model. The results of the Auto-DelRAS risk assessment were shown as high/moderate/low risk on a Kardex screen. The predictive validity, analyzed after the clinical application of Auto-DelRAS after one year, showed a sensitivity of 0.88, specificity of 0.72, positive predictive value of 0.53, negative predictive value of 0.94, and a Youden index of 0.59. A relatively high level of predictive validity was maintained with the Auto-DelRAS system, even one year after it was applied to clinical practice. Copyright © 2017. Published by Elsevier Ltd.

  19. AutoDrug: fully automated macromolecular crystallography workflows for fragment-based drug discovery

    International Nuclear Information System (INIS)

    Tsai, Yingssu; McPhillips, Scott E.; González, Ana; McPhillips, Timothy M.; Zinn, Daniel; Cohen, Aina E.; Feese, Michael D.; Bushnell, David; Tiefenbrunn, Theresa; Stout, C. David; Ludaescher, Bertram; Hedman, Britt; Hodgson, Keith O.; Soltis, S. Michael

    2013-01-01

    New software has been developed for automating the experimental and data-processing stages of fragment-based drug discovery at a macromolecular crystallography beamline. A new workflow-automation framework orchestrates beamline-control and data-analysis software while organizing results from multiple samples. AutoDrug is software based upon the scientific workflow paradigm that integrates the Stanford Synchrotron Radiation Lightsource macromolecular crystallography beamlines and third-party processing software to automate the crystallography steps of the fragment-based drug-discovery process. AutoDrug screens a cassette of fragment-soaked crystals, selects crystals for data collection based on screening results and user-specified criteria and determines optimal data-collection strategies. It then collects and processes diffraction data, performs molecular replacement using provided models and detects electron density that is likely to arise from bound fragments. All processes are fully automated, i.e. are performed without user interaction or supervision. Samples can be screened in groups corresponding to particular proteins, crystal forms and/or soaking conditions. A single AutoDrug run is only limited by the capacity of the sample-storage dewar at the beamline: currently 288 samples. AutoDrug was developed in conjunction with RestFlow, a new scientific workflow-automation framework. RestFlow simplifies the design of AutoDrug by managing the flow of data and the organization of results and by orchestrating the execution of computational pipeline steps. It also simplifies the execution and interaction of third-party programs and the beamline-control system. Modeling AutoDrug as a scientific workflow enables multiple variants that meet the requirements of different user groups to be developed and supported. A workflow tailored to mimic the crystallography stages comprising the drug-discovery pipeline of CoCrystal Discovery Inc. has been deployed and successfully

  20. Lecture notes on ridge regression

    OpenAIRE

    van Wieringen, Wessel N.

    2015-01-01

    The linear regression model cannot be fitted to high-dimensional data, as the high-dimensionality brings about empirical non-identifiability. Penalized regression overcomes this non-identifiability by augmentation of the loss function by a penalty (i.e. a function of regression coefficients). The ridge penalty is the sum of squared regression coefficients, giving rise to ridge regression. Here many aspect of ridge regression are reviewed e.g. moments, mean squared error, its equivalence to co...

  1. 'Integration'

    DEFF Research Database (Denmark)

    Olwig, Karen Fog

    2011-01-01

    , while the countries have adopted disparate policies and ideologies, differences in the actual treatment and attitudes towards immigrants and refugees in everyday life are less clear, due to parallel integration programmes based on strong similarities in the welfare systems and in cultural notions...

  2. Assessment Method for the Accuracy of Auto-Parking System

    Directory of Open Access Journals (Sweden)

    Shidian Ma

    2014-08-01

    Full Text Available Considering the condition of small sample sizes, quantifies uncertainty from systematic measurement error, this paper presents an accuracy Comprehensive evaluation method for Auto-Parking System based on bootstrap method. Collecting parking precision data by 8 practical experiments and taking the full use of the various information of limited sample data, we resample from the original samples, and then generate groups of sample data which are identical distributed. Finally, using 90 percent confidence levels, we assess the accuracy of Auto-Parking system, the result prove that the accuracy comprehensive evaluation method for Auto-Parking System based on bootstrap is a convenient and effective method.

  3. Web Proxy Auto Discovery for the WLCG

    Science.gov (United States)

    Dykstra, D.; Blomer, J.; Blumenfeld, B.; De Salvo, A.; Dewhurst, A.; Verguilov, V.

    2017-10-01

    All four of the LHC experiments depend on web proxies (that is, squids) at each grid site to support software distribution by the CernVM FileSystem (CVMFS). CMS and ATLAS also use web proxies for conditions data distributed through the Frontier Distributed Database caching system. ATLAS & CMS each have their own methods for their grid jobs to find out which web proxies to use for Frontier at each site, and CVMFS has a third method. Those diverse methods limit usability and flexibility, particularly for opportunistic use cases, where an experiment’s jobs are run at sites that do not primarily support that experiment. This paper describes a new Worldwide LHC Computing Grid (WLCG) system for discovering the addresses of web proxies. The system is based on an internet standard called Web Proxy Auto Discovery (WPAD). WPAD is in turn based on another standard called Proxy Auto Configuration (PAC). Both the Frontier and CVMFS clients support this standard. The input into the WLCG system comes from squids registered in the ATLAS Grid Information System (AGIS) and CMS SITECONF files, cross-checked with squids registered by sites in the Grid Configuration Database (GOCDB) and the OSG Information Management (OIM) system, and combined with some exceptions manually configured by people from ATLAS and CMS who operate WLCG Squid monitoring. WPAD servers at CERN respond to http requests from grid nodes all over the world with a PAC file that lists available web proxies, based on IP addresses matched from a database that contains the IP address ranges registered to organizations. Large grid sites are encouraged to supply their own WPAD web servers for more flexibility, to avoid being affected by short term long distance network outages, and to offload the WLCG WPAD servers at CERN. The CERN WPAD servers additionally support requests from jobs running at non-grid sites (particularly for LHC@Home) which they direct to the nearest publicly accessible web proxy servers. The responses

  4. 3D printed auto-mixing chip enables rapid smartphone diagnosis of anemia.

    Science.gov (United States)

    Plevniak, Kimberly; Campbell, Matthew; Myers, Timothy; Hodges, Abby; He, Mei

    2016-09-01

    Clinical diagnosis requiring central facilities and site visits can be burdensome for patients in resource-limited or rural areas. Therefore, development of a low-cost test that utilizes smartphone data collection and transmission would beneficially enable disease self-management and point-of-care (POC) diagnosis. In this paper, we introduce a low-cost i POC 3D diagnostic strategy which integrates 3D design and printing of microfluidic POC device with smartphone-based disease diagnosis in one process as a stand-alone system, offering strong adaptability for establishing diagnostic capacity in resource-limited areas and low-income countries. We employ smartphone output (AutoCAD 360 app) and readout (color-scale analytical app written in-house) functionalities for rapid 3D printing of microfluidic auto-mixers and colorimetric detection of blood hemoglobin levels. The auto-mixing of reagents with blood via capillary force has been demonstrated in 1 second without the requirement of external pumps. We employed this i POC 3D system for point-of-care diagnosis of anemia using a training set of patients (n anemia  = 16 and n healthy  = 6), which showed consistent measurements of blood hemoglobin levels (a.u.c. = 0.97) and comparable diagnostic sensitivity and specificity, compared with standard clinical hematology analyzer. Capable of 3D fabrication flexibility and smartphone compatibility, this work presents a novel diagnostic strategy for advancing personalized medicine and mobile healthcare.

  5. An asymptotic theory for cross-correlation between auto-correlated sequences and its application on neuroimaging data.

    Science.gov (United States)

    Zhou, Yunyi; Tao, Chenyang; Lu, Wenlian; Feng, Jianfeng

    2018-04-20

    Functional connectivity is among the most important tools to study brain. The correlation coefficient, between time series of different brain areas, is the most popular method to quantify functional connectivity. Correlation coefficient in practical use assumes the data to be temporally independent. However, the time series data of brain can manifest significant temporal auto-correlation. A widely applicable method is proposed for correcting temporal auto-correlation. We considered two types of time series models: (1) auto-regressive-moving-average model, (2) nonlinear dynamical system model with noisy fluctuations, and derived their respective asymptotic distributions of correlation coefficient. These two types of models are most commonly used in neuroscience studies. We show the respective asymptotic distributions share a unified expression. We have verified the validity of our method, and shown our method exhibited sufficient statistical power for detecting true correlation on numerical experiments. Employing our method on real dataset yields more robust functional network and higher classification accuracy than conventional methods. Our method robustly controls the type I error while maintaining sufficient statistical power for detecting true correlation in numerical experiments, where existing methods measuring association (linear and nonlinear) fail. In this work, we proposed a widely applicable approach for correcting the effect of temporal auto-correlation on functional connectivity. Empirical results favors the use of our method in functional network analysis. Copyright © 2018. Published by Elsevier B.V.

  6. Nonlinear wavelet regression function estimator for censored ...

    African Journals Online (AJOL)

    Let (Y;C;X) be a vector of random variables where Y; C and X are, respectively, the interest variable, a right censoring and a covariable (predictor). In this paper, we introduce a new nonlinear wavelet-based estimator of the regression function in the right censorship model. An asymptotic expression for the mean integrated ...

  7. Polarization imaging apparatus with auto-calibration

    Science.gov (United States)

    Zou, Yingyin Kevin; Zhao, Hongzhi; Chen, Qiushui

    2013-08-20

    A polarization imaging apparatus measures the Stokes image of a sample. The apparatus consists of an optical lens set, a first variable phase retarder (VPR) with its optical axis aligned 22.5.degree., a second variable phase retarder with its optical axis aligned 45.degree., a linear polarizer, a imaging sensor for sensing the intensity images of the sample, a controller and a computer. Two variable phase retarders were controlled independently by a computer through a controller unit which generates a sequential of voltages to control the phase retardations of the first and second variable phase retarders. A auto-calibration procedure was incorporated into the polarization imaging apparatus to correct the misalignment of first and second VPRs, as well as the half-wave voltage of the VPRs. A set of four intensity images, I.sub.0, I.sub.1, I.sub.2 and I.sub.3 of the sample were captured by imaging sensor when the phase retardations of VPRs were set at (0,0), (.pi.,0), (.pi.,.pi.) and (.pi./2,.pi.), respectively. Then four Stokes components of a Stokes image, S.sub.0, S.sub.1, S.sub.2 and S.sub.3 were calculated using the four intensity images.

  8. Information Processing in Auto-regulated Systems

    Directory of Open Access Journals (Sweden)

    Karl Javorszky

    2003-06-01

    Full Text Available Abstract: We present a model of information processing which is based on two concurrent ways of describing the world, where a description in one of the languages limits the possibilities for realisations in the other language. The two describing dimensions appear in our common sense as dichotomies of perspectives: subjective - objective; diversity - similarity; individual - collective. We abstract from the subjective connotations and treat the test theoretical case of an interval on which several concurrent categories can be introduced. We investigate multidimensional partitions as potential carriers of information and compare their efficiency to that of sequenced carriers. We regard the same assembly once as a contemporary collection, once as a longitudinal sequence and find promising inroads towards understanding information processing by auto-regulated systems. Information is understood to point out that what is the case from among alternatives, which could be the case. We have translated these ideas into logical operations on the set of natural numbers and have found two equivalence points on N where matches between sequential and commutative ways of presenting a state of the world can agree in a stable fashion: a flip-flop mechanism is envisioned. By following this new approach, a mathematical treatment of some poignant biomathematical problems is allowed. Also, the concepts presented in this treatise may well have relevance and applications within the information processing and the theory of language fields.

  9. Polarization Imaging Apparatus with Auto-Calibration

    Science.gov (United States)

    Zou, Yingyin Kevin (Inventor); Zhao, Hongzhi (Inventor); Chen, Qiushui (Inventor)

    2013-01-01

    A polarization imaging apparatus measures the Stokes image of a sample. The apparatus consists of an optical lens set, a first variable phase retarder (VPR) with its optical axis aligned 22.5 deg, a second variable phase retarder with its optical axis aligned 45 deg, a linear polarizer, a imaging sensor for sensing the intensity images of the sample, a controller and a computer. Two variable phase retarders were controlled independently by a computer through a controller unit which generates a sequential of voltages to control the phase retardations of the first and second variable phase retarders. A auto-calibration procedure was incorporated into the polarization imaging apparatus to correct the misalignment of first and second VPRs, as well as the half-wave voltage of the VPRs. A set of four intensity images, I(sub 0), I(sub 1), I(sub 2) and I(sub 3) of the sample were captured by imaging sensor when the phase retardations of VPRs were set at (0,0), (pi,0), (pi,pi) and (pi/2,pi), respectively. Then four Stokes components of a Stokes image, S(sub 0), S(sub 1), S(sub 2) and S(sub 3) were calculated using the four intensity images.

  10. AutoCategorization for Customized Knowledge Portals, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — An AutoCategorizing Knowledge Management Engine ("AKM") will automate key capabilities for both human-human and human-agent collaboration tools in aerospace...

  11. Auto-immune haematological complications occurring during the ...

    African Journals Online (AJOL)

    Auto-immune haematological complications occurring during treatment for malignant Iymphoproliferative diseases are described in 5 patients. There appeared to be a temporal relationship between the development of these complications and the administration of chemotherapeutic drugs or extensive radiotherapy.

  12. A Moment in the Auto/biographical Enterprise | Jansen | Current ...

    African Journals Online (AJOL)

    Abstract. Judith Lütge Coullie, Stephan Meyer, Thengani H Ngwenya and Thomas Olver (eds). (2006) Selves in Question: Interviews on Southern African Auto/biography. Honolulu: University of Hawai'i Press.

  13. AutoCategorization for Customized Knowledge Portals Project

    Data.gov (United States)

    National Aeronautics and Space Administration — An AutoCategorizing Knowledge Management Engine ("AKM") will automate key capabilities for both human-human and human-agent collaboration tools in aerospace...

  14. Auto-regenerative thermoluminescence dating using zircon inclusions

    International Nuclear Information System (INIS)

    Templer, R.H.

    1993-01-01

    Fired ceramics containing zircon inclusions have been dated by allowing the zircons to regenerate their own thermoluminescence (TL) signal, hence auto-regenerative TL dating. The technique is conceptually straightforward. One first measures the TL accrued since the last heating of the material. The zircon grains are then stored for six months and the TL signal regenerated through self-irradiation is measured. Since the internal dose-rate for zircon is dominated by the internal component the age of the sample is simply given by the ratio of the natural to auto-regenerated signal times the laboratory storage period. The technique, however, requires the measurement of a very small auto-regenerated signal, which introduces a number of experimental and physical complications. The methods for overcoming these problems and successfully dating zircons by auto-regeneration are described. (Author)

  15. Linking mileage to auto accident risk and urban form.

    Science.gov (United States)

    2013-08-01

    Pricing auto insurance on a per-mile basis provides a beneficial, cost-based incentive to : reduce vehicle miles traveled compared with traditional rating plans that charge annual : premiums with little or no consideration of miles driven. : The rese...

  16. Auto industry : a framework for considering federal financial assistance.

    Science.gov (United States)

    2008-12-05

    The current economic downturn has brought significant financial stress to the auto manufacturing industry. Recent deteriorating financial, real estate, and labor markets have reduced consumer confidence and available credit, and automobile purchases ...

  17. Calculating a Stepwise Ridge Regression.

    Science.gov (United States)

    Morris, John D.

    1986-01-01

    Although methods for using ordinary least squares regression computer programs to calculate a ridge regression are available, the calculation of a stepwise ridge regression requires a special purpose algorithm and computer program. The correct stepwise ridge regression procedure is given, and a parallel FORTRAN computer program is described.…

  18. Assessment of Factors Related to Auto-PEEP.

    Science.gov (United States)

    Natalini, Giuseppe; Tuzzo, Daniele; Rosano, Antonio; Testa, Marco; Grazioli, Michele; Pennestrì, Vincenzo; Amodeo, Guido; Marsilia, Paolo F; Tinnirello, Andrea; Berruto, Francesco; Fiorillo, Marialinda; Filippini, Matteo; Peratoner, Alberto; Minelli, Cosetta; Bernardini, Achille

    2016-02-01

    Previous physiological studies have identified factors that are involved in auto-PEEP generation. In our study, we examined how much auto-PEEP is generated from factors that are involved in its development. One hundred eighty-six subjects undergoing controlled mechanical ventilation with persistent expiratory flow at the beginning of each inspiration were enrolled in the study. Volume-controlled continuous mandatory ventilation with PEEP of 0 cm H2O was applied while maintaining the ventilator setting as chosen by the attending physician. End-expiratory and end-inspiratory airway occlusion maneuvers were performed to calculate respiratory mechanics, and tidal flow limitation was assessed by a maneuver of manual compression of the abdomen. The variable with the strongest effect on auto-PEEP was flow limitation, which was associated with an increase of 2.4 cm H2O in auto-PEEP values. Moreover, auto-PEEP values were directly related to resistance of the respiratory system and body mass index and inversely related to expiratory time/time constant. Variables that were associated with the breathing pattern (tidal volume, frequency minute ventilation, and expiratory time) did not show any relationship with auto-PEEP values. The risk of auto-PEEP ≥5 cm H2O was increased by flow limitation (adjusted odds ratio 17; 95% CI: 6-56.2), expiratory time/time constant ratio 15 cm H2O/L s (3; 1.3-6.9), age >65 y (2.8; 1.2-6.5), and body mass index >26 kg/m(2) (2.6; 1.1-6.1). Flow limitation, expiratory time/time constant, resistance of the respiratory system, and obesity are the most important variables that affect auto-PEEP values. Frequency expiratory time, tidal volume, and minute ventilation were not independently associated with auto-PEEP. Therapeutic strategies aimed at reducing auto-PEEP and its adverse effects should be primarily oriented to the variables that mainly affect auto-PEEP values. Copyright © 2016 by Daedalus Enterprises.

  19. Modified Regression Correlation Coefficient for Poisson Regression Model

    Science.gov (United States)

    Kaengthong, Nattacha; Domthong, Uthumporn

    2017-09-01

    This study gives attention to indicators in predictive power of the Generalized Linear Model (GLM) which are widely used; however, often having some restrictions. We are interested in regression correlation coefficient for a Poisson regression model. This is a measure of predictive power, and defined by the relationship between the dependent variable (Y) and the expected value of the dependent variable given the independent variables [E(Y|X)] for the Poisson regression model. The dependent variable is distributed as Poisson. The purpose of this research was modifying regression correlation coefficient for Poisson regression model. We also compare the proposed modified regression correlation coefficient with the traditional regression correlation coefficient in the case of two or more independent variables, and having multicollinearity in independent variables. The result shows that the proposed regression correlation coefficient is better than the traditional regression correlation coefficient based on Bias and the Root Mean Square Error (RMSE).

  20. Auto-immune encefalitis in de psychiatrische praktijk

    OpenAIRE

    de Witte, L; Kromkamp, M; Schoenmaker, N; van Mierlo, H C; Martinez-Martínez, P; Palmen, S J M; Sommer, I E C

    2015-01-01

    BACKGROUND: Our knowledge about auto-immune limbic encephalitis is increasing rapidly and it is now evident that patients with this disease can present with psychiatric symptoms. AIM: To propose practical guidelines for the recognition and diagnosis of an underlying auto-immune limbic encephalitis in patients with acute psychiatric symptoms. METHOD: We studied recent reviews on the topic and had discussions with psychiatrists, a neurologist and a neuroimmunologist in order to reach consensus....

  1. 70 MeV injector auto tuning system handbook

    International Nuclear Information System (INIS)

    Ellis, J.E.; Munn, R.W.; Sandels, E.G.

    1976-06-01

    The handbook is in three sections: (1) description and location; (2) operating instructions; and (3) design notes on the tank and debuncher auto tuning systems for the 70 MeV injector. The purpose of the auto tuning system is to maintain the 'tune' of the four tanks and debuncher to within a few Hz, stabilizing against changes of temperature and other physical factors affecting the resonant frequency of the tanks. (U.K.)

  2. Unbalanced Regressions and the Predictive Equation

    DEFF Research Database (Denmark)

    Osterrieder, Daniela; Ventosa-Santaulària, Daniel; Vera-Valdés, J. Eduardo

    Predictive return regressions with persistent regressors are typically plagued by (asymptotically) biased/inconsistent estimates of the slope, non-standard or potentially even spurious statistical inference, and regression unbalancedness. We alleviate the problem of unbalancedness...... in the theoretical predictive equation by suggesting a data generating process, where returns are generated as linear functions of a lagged latent I(0) risk process. The observed predictor is a function of this latent I(0) process, but it is corrupted by a fractionally integrated noise. Such a process may arise due...... to aggregation or unexpected level shifts. In this setup, the practitioner estimates a misspecified, unbalanced, and endogenous predictive regression. We show that the OLS estimate of this regression is inconsistent, but standard inference is possible. To obtain a consistent slope estimate, we then suggest...

  3. Neuropsychological correlates of cognitive, emotional-affective and auto-activation apathy in Alzheimer's disease.

    Science.gov (United States)

    Perri, Roberta; Turchetta, Chiara Stella; Caruso, Giulia; Fadda, Lucia; Caltagirone, Carlo; Carlesimo, Augusto Giovanni

    2018-01-31

    Apathy symptoms include different dimensions: cognitive (C), emotional-affective (E-Aff) and auto-activation; they have been related to dysfunctions of the dorsolateral, orbito-basal prefrontal cortex and the subcortical frontal connections to the basal ganglia, respectively. In Alzheimer's disease (AD), an association has been found between apathy severity and both executive deficits and atrophy of the dorso-lateral prefrontal cortex; however, it is not clear whether these associations concern only the cognitive aspects of apathy. Furthermore, whether there is an association in AD between E-aff apathy and theory of mind (ToM),the cognitive functions subsumed by the orbito-basal prefrontal cortex, has not been investigated. Aim of the study was to investigate the relationship between C, E-Aff and auto-activation apathy and performance on tasks investigating executive and ToM cognitive functions in AD. For this purpose, 20 AD patients with apathy and 20 matched controls were submitted to an executive and ToM neuropsychological assessment. Apathy was assessed with a weekly diary (ApD) created specifically to assist caregivers in quantifying the C, E-Aff and auto-activation symptomatology of apathy. Correlational analyses showed that AD patients' scores on the Modified Card Sorting Test (MCST) and Emotion Attribution tasks were correlated with most ApD scores. However, regression analyses showed that C diary scores were predicted by MCST performance, E-Aff diary scores by performance on the E-Attribution task and ApD scores measuring auto-activation apathy were predicted by both the MCST and the Emotion Attribution scores. These results confirm the co-occurrence of apathy and executive-function deficits in AD and suggest a specific association between AD patients' executive deficits and the cognitive component of apathy. Furthermore, they document, for the first time, an association between poor performance on tests assessing ToM abilities and the emotional

  4. Multinomial logistic regression ensembles.

    Science.gov (United States)

    Lee, Kyewon; Ahn, Hongshik; Moon, Hojin; Kodell, Ralph L; Chen, James J

    2013-05-01

    This article proposes a method for multiclass classification problems using ensembles of multinomial logistic regression models. A multinomial logit model is used as a base classifier in ensembles from random partitions of predictors. The multinomial logit model can be applied to each mutually exclusive subset of the feature space without variable selection. By combining multiple models the proposed method can handle a huge database without a constraint needed for analyzing high-dimensional data, and the random partition can improve the prediction accuracy by reducing the correlation among base classifiers. The proposed method is implemented using R, and the performance including overall prediction accuracy, sensitivity, and specificity for each category is evaluated on two real data sets and simulation data sets. To investigate the quality of prediction in terms of sensitivity and specificity, the area under the receiver operating characteristic (ROC) curve (AUC) is also examined. The performance of the proposed model is compared to a single multinomial logit model and it shows a substantial improvement in overall prediction accuracy. The proposed method is also compared with other classification methods such as the random forest, support vector machines, and random multinomial logit model.

  5. Efficient Regression Testing Based on Test History: An Industrial Evaluation

    OpenAIRE

    Ekelund, Edward Dunn; Engström, Emelie

    2015-01-01

    Due to changes in the development practices at Axis Communications, towards continuous integration, faster regression testing feedback is needed. The current automated regression test suite takes approximately seven hours to run which prevents developers from integrating code changes several times a day as preferred. Therefore we want to implement a highly selective yet accurate regression testing strategy. Traditional code coverage based techniques are not applicable due to the size and comp...

  6. [Oral diseases in auto-immune polyendocrine syndrome type 1].

    Science.gov (United States)

    Proust-Lemoine, Emmanuelle; Guyot, Sylvie

    2017-09-01

    Auto-immune polyendocrine syndrome type 1 (APS1) also called Auto-immune Polyendocrinopathy Candidiasis Ectodermal Dystrophy (APECED) is a rare monogenic childhood-onset auto-immune disease. This autosomal recessive disorder is caused by mutations in the auto-immune regulator (AIRE) gene, and leads to autoimmunity targeting peripheral tissues. There is a wide variability in clinical phenotypes in patients with APSI, with auto-immune endocrine and non-endocrine disorders, and chronic mucocutaneous candidiasis. These patients suffer from oral diseases such as dental enamel hypoplasia and candidiasis. Both are frequently described, and in recent series, enamel hypoplasia and candidiasis are even the most frequent components of APS1 together with hypoparathyroidism. Both often occur during childhood (before 5 years old for canrdidiasis, and before 15 years old for enamel hypoplasia). Oral candidiasis is recurrent all life long, could become resistant to azole antifungal after years of treatment, and be carcinogenic, leading to severe oral squamous cell carcinoma. Oral components of APS1 should be diagnosed and rigorously treated. Dental enamel hypoplasia and/or recurrent oral candidiasis in association with auto-immune diseases in a young child should prompt APS1 diagnosis. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  7. Auto/ethnography: A Transformative Research Paradigm

    Directory of Open Access Journals (Sweden)

    Sadruddin Bahadur Qutoshi

    2015-12-01

    Full Text Available This paper aims to address the key question, ‘How far autoethnography contributes towards enriching the field of transformative learning?’ Using my lived experiences as a teacher educator/autoethnographer/researcher and contextualizing self/others within a particular socio-pedagogical life courses I build the basis through addressing questions: Why auto/ethnography is one of the most suitable spaces for transformative researchers and to what extent it serves the agenda of envisioning a transformative teacher education. To achieve this objective I use autobiographies, stories, reflections and poems etc. as narratives with multiple logics and genres; pictography as art-based expression; and ethnography as methodological space within multiparadigmatic design space. In so doing autoethnographer has to delve into whole process of research along a continuum of self and beyond within a particular sociocultural context to understand the phenomena at deeper level of consciousness. This transformative paradigm holds a strong basis in the process of research as: re/reading, re/viewing, critically reflecting on self/others, re/writing for meaning making and developing a subjective understanding of phenomena under exploration. This process of research is found to be an innovative way of knowing through ‘interpreting and constructing (Luitel, 2009within Interpretivism, critically thinking and reflecting within Criticalism, and adding both ‘pluralism and playfulness’ (Taylor, 2013 within Postmodernism. In so doing it raises awareness, develops consciousness and improves capacities constantly that ultimately alters our way of seeing and being in the world differently- a paradigm shift in self/others. It is found to be highly rigorous, dialectically eloquent, dialogically rigorous, critically reflective, consciously awakening, and innovative critical discourse that greatly contributes to transform researcher/s. Therefore, it seems illustrious for

  8. DOVIS: an implementation for high-throughput virtual screening using AutoDock

    Directory of Open Access Journals (Sweden)

    Wallqvist Anders

    2008-02-01

    Full Text Available Abstract Background Molecular-docking-based virtual screening is an important tool in drug discovery that is used to significantly reduce the number of possible chemical compounds to be investigated. In addition to the selection of a sound docking strategy with appropriate scoring functions, another technical challenge is to in silico screen millions of compounds in a reasonable time. To meet this challenge, it is necessary to use high performance computing (HPC platforms and techniques. However, the development of an integrated HPC system that makes efficient use of its elements is not trivial. Results We have developed an application termed DOVIS that uses AutoDock (version 3 as the docking engine and runs in parallel on a Linux cluster. DOVIS can efficiently dock large numbers (millions of small molecules (ligands to a receptor, screening 500 to 1,000 compounds per processor per day. Furthermore, in DOVIS, the docking session is fully integrated and automated in that the inputs are specified via a graphical user interface, the calculations are fully integrated with a Linux cluster queuing system for parallel processing, and the results can be visualized and queried. Conclusion DOVIS removes most of the complexities and organizational problems associated with large-scale high-throughput virtual screening, and provides a convenient and efficient solution for AutoDock users to use this software in a Linux cluster platform.

  9. An asymmetric MOSFET-C band-pass filter with on-chip charge pump auto-tuning

    International Nuclear Information System (INIS)

    Chen Fangxiong; Ma Heping; Jia Hailong; Shi Yin; Lin Min; Dai, Forster

    2009-01-01

    An asymmetric MOSFET-C band-pass filter (BPF) with on chip charge pump auto-tuning is presented. It is implemented in UMC (United Manufacturing Corporation) 0.18 μm CMOS process technology. The filter system with auto-tuning uses a master-slave technique for continuous tuning in which the charge pump outputs 2.663 V, much higher than the power supply voltage, to improve the linearity of the filter. The main filter with third order low-pass and second order high-pass properties is an asymmetric band-pass filter with bandwidth of 2.730-5.340 MHz. The in-band third order harmonic input intercept point (IIP3) is 16.621 dBm, with 50 Ω as the source impedance. The input referred noise is about 47.455 μV rms . The main filter dissipates 3.528 mW while the auto-tuning system dissipates 2.412 mW from a 1.8 V power supply. The filter with the auto-tuning system occupies 0.592 mm 2 and it can be utilized in GPS (global positioning system) and Bluetooth systems. (semiconductor integrated circuits)

  10. Polynomial regression analysis and significance test of the regression function

    International Nuclear Information System (INIS)

    Gao Zhengming; Zhao Juan; He Shengping

    2012-01-01

    In order to analyze the decay heating power of a certain radioactive isotope per kilogram with polynomial regression method, the paper firstly demonstrated the broad usage of polynomial function and deduced its parameters with ordinary least squares estimate. Then significance test method of polynomial regression function is derived considering the similarity between the polynomial regression model and the multivariable linear regression model. Finally, polynomial regression analysis and significance test of the polynomial function are done to the decay heating power of the iso tope per kilogram in accord with the authors' real work. (authors)

  11. Recursive Algorithm For Linear Regression

    Science.gov (United States)

    Varanasi, S. V.

    1988-01-01

    Order of model determined easily. Linear-regression algorithhm includes recursive equations for coefficients of model of increased order. Algorithm eliminates duplicative calculations, facilitates search for minimum order of linear-regression model fitting set of data satisfactory.

  12. Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging.

    Science.gov (United States)

    Mohseni Salehi, Seyed Sadegh; Erdogmus, Deniz; Gholipour, Ali

    2017-11-01

    Brain extraction or whole brain segmentation is an important first step in many of the neuroimage analysis pipelines. The accuracy and the robustness of brain extraction, therefore, are crucial for the accuracy of the entire brain analysis process. The state-of-the-art brain extraction techniques rely heavily on the accuracy of alignment or registration between brain atlases and query brain anatomy, and/or make assumptions about the image geometry, and therefore have limited success when these assumptions do not hold or image registration fails. With the aim of designing an accurate, learning-based, geometry-independent, and registration-free brain extraction tool, in this paper, we present a technique based on an auto-context convolutional neural network (CNN), in which intrinsic local and global image features are learned through 2-D patches of different window sizes. We consider two different architectures: 1) a voxelwise approach based on three parallel 2-D convolutional pathways for three different directions (axial, coronal, and sagittal) that implicitly learn 3-D image information without the need for computationally expensive 3-D convolutions and 2) a fully convolutional network based on the U-net architecture. Posterior probability maps generated by the networks are used iteratively as context information along with the original image patches to learn the local shape and connectedness of the brain to extract it from non-brain tissue. The brain extraction results we have obtained from our CNNs are superior to the recently reported results in the literature on two publicly available benchmark data sets, namely, LPBA40 and OASIS, in which we obtained the Dice overlap coefficients of 97.73% and 97.62%, respectively. Significant improvement was achieved via our auto-context algorithm. Furthermore, we evaluated the performance of our algorithm in the challenging problem of extracting arbitrarily oriented fetal brains in reconstructed fetal brain magnetic

  13. Gedar: Auto Coding to a Virtual Machine

    National Research Council Canada - National Science Library

    Lundgren, William I; Barnes, Kerry B; Steed, James W

    2005-01-01

    Gedae is an integrated application development environment. It has been under development since 1987 - though the concepts involved are rooted in much earlier work done in the areas of data flow and hardware simulation...

  14. Implication of auto-generated message reminders system (software and rate of absenteeism in orthodontic clinic: A randomized controlled trial

    Directory of Open Access Journals (Sweden)

    Siddharth Sonwane

    2017-01-01

    Full Text Available Context: Absenteeism is a routine pattern of nonattendance from duty of responsibilities, nonattending to given appointment may have deleterious effect on treatment outcome and revenue generation. Very few studies have been done to know the effect of absenteeism on revenue generation and treatment outcome with the help of postcard, telephone, and text messages as reminder; however, these studies have concluded that there was statistically significant difference found in treatment outcome and revenue generation. Furthermore, our study is the almost first to present with the use of current available reminder tool (software reminder system. Aims: The aim of this study to implicate and evaluate effects of auto-generated message reminder (easy dental software application and previous visit reminder system. Materials and Methods: The sum of 180 patients was selected and divided 90 patients in each group. (1 Study group (Auto-generated message reminder system, (2 control group (previous visit remainder. Auto-generated messages were sent to the study group. No formal information given to control group. Statistical Analysis Used: Student's t-tests were used to compare two groups, and logistic regression was obtained 0.044. Results: In control group, 20% of total sample found to be absent whereas only 10% found to be absent in study group. Student's t-test and logistic regression were seen (P = 0.044. Conclusion: The use of auto-generated message reminder system (easy dental software, reduces the rate of absenteeism and increases clinic economy, proper results with stipulated period, and protect both clinician and patients from unwanted complications.

  15. Cirios, trompetas y altares : el auto de fe como fiesta

    Directory of Open Access Journals (Sweden)

    Doris Moreno Martínez

    1997-01-01

    Full Text Available El análisis del auto de fe en su vertiente festiva nos permite superar la vieja polémica de la historiografía liberal y la historiografia conservadora, en torno a la popularidad/repulsión social de la Inquisición. Trascendiendo las visiones unidireccionales, se intenta aprender el auto de fe general desde una perspectiva global; se integran las vertientes jurídica, religiosa y social a través de algunos de los múltiples ingredientes del auto: sensitivos (luz, colores, sonidos..., sociales (participación activa de artesanos, familiares y asistentes... y simbólicos (orden preeminencial en las procesiones y en los tablados, juramentos..., para configurar el auto de fe como una fiesta compleja. poliédrica. En el auto de fe la Iglesia y el Estado tantas veces enfrentados, mostraban sus respectivos poderes concertados, con toda la capacidad intimidatoría de una simbología muy funcional y efectiva, y los componentes mórbidos de identificación personal del mal y la escenificación dramática.The analysis of the auto de fe on its festive side allows us to overecome the old discussion between the liberal histórical view and the conservative view that surrounds the social popularity/repulsion of the Inquisition. Overcoming the narrow visión we try to understand a global perspective; we intégrate the juridical, religious and social aspects through some of the many ingredients of the auto de fe: sensory (light, colours, sounds..., social (active participation of artisans, families and people present... and symbolical (order of rank in processions on stages and oath taking.... All those aspects combine to make the auto de fe a very complex and many sided festivity. In the auto de fe, the Church and the State, many times oppossed to one another, showed that their respective powers were united, with all the intimidating power of a very effective and functional symbolism and the morbid components of a personal identification of evil and the

  16. Combining Alphas via Bounded Regression

    Directory of Open Access Journals (Sweden)

    Zura Kakushadze

    2015-11-01

    Full Text Available We give an explicit algorithm and source code for combining alpha streams via bounded regression. In practical applications, typically, there is insufficient history to compute a sample covariance matrix (SCM for a large number of alphas. To compute alpha allocation weights, one then resorts to (weighted regression over SCM principal components. Regression often produces alpha weights with insufficient diversification and/or skewed distribution against, e.g., turnover. This can be rectified by imposing bounds on alpha weights within the regression procedure. Bounded regression can also be applied to stock and other asset portfolio construction. We discuss illustrative examples.

  17. Presença de auto-anticorpos não-tireóide-específicos no soro de pacientes com hipotireoidismo auto-imune

    OpenAIRE

    Soares Débora Vieira; Vanderborght Bart O. M.; Vaisman Mário

    2003-01-01

    Auto-anticorpos contra componentes não-específicos da tireóide foram encontrados no soro de pacientes com doença auto-imune da tireóide. Neste estudo avaliamos a presença de auto-anticorpos antinucleares (ANA), antimúsculo liso (anti-ML) e antimitocôndria (anti-Mc) no soro de pacientes com hipotireoidismo auto-imune (HA), comparando-os a controles saudáveis. Estudamos 70 pacientes com hipotireoidismo auto-imune (tireoidite de Hashimoto ou tireoidite atrófica ) e 70 controles saudáveis (sem di...

  18. Linear regression in astronomy. I

    Science.gov (United States)

    Isobe, Takashi; Feigelson, Eric D.; Akritas, Michael G.; Babu, Gutti Jogesh

    1990-01-01

    Five methods for obtaining linear regression fits to bivariate data with unknown or insignificant measurement errors are discussed: ordinary least-squares (OLS) regression of Y on X, OLS regression of X on Y, the bisector of the two OLS lines, orthogonal regression, and 'reduced major-axis' regression. These methods have been used by various researchers in observational astronomy, most importantly in cosmic distance scale applications. Formulas for calculating the slope and intercept coefficients and their uncertainties are given for all the methods, including a new general form of the OLS variance estimates. The accuracy of the formulas was confirmed using numerical simulations. The applicability of the procedures is discussed with respect to their mathematical properties, the nature of the astronomical data under consideration, and the scientific purpose of the regression. It is found that, for problems needing symmetrical treatment of the variables, the OLS bisector performs significantly better than orthogonal or reduced major-axis regression.

  19. AutoCAD electrical 2013 for electrical control designers

    CERN Document Server

    Tickoo, Sham; CADCIM Technologies

    2013-01-01

    The AutoCAD Electrical 2013 for Electrical Control Designers textbook has been written to assist the engineering students and the practicing designers learn the application of various AutoCAD Electrical tools and options for creating electrical control designs. After reading this textbook, the users will be able to create professional electrical-control drawings easily and effectively. Moreover, the users will be able to automate various control engineering tasks such as building circuits, numbering wires, creating bills of materials, and many more. The textbook takes the users across a wide spectrum of electrical control drawings through progressive examples and numerous illustrations and exercises, thereby making it an ideal guide for both the novice and the advanced users. Salient Features of the Textbook Consists of 14 chapters that are organized in a pedagogical sequence covering various tools and features of AutoCAD Electrical such as schematic drawings, parametric and non-parametric PLC modules, Circu...

  20. Auto/Ethnography and the Question of Ethics

    Directory of Open Access Journals (Sweden)

    Wolff-Michael Roth

    2008-10-01

    Full Text Available Auto/ethnography has emerged as an important method in the social sciences for contributing to the project of understanding human actions and concerns. Although the name of the method includes "ethnography," auto/ethnography often is concerned exclusively with an abstract (i.e., undeveloped and abstracting understanding, and therefore the writing, of the Self rather than the writing of the "ethno." Auto/ethnography, such conceived, is a form of therapy, in the best case, and a form of narcissism and autoerotic relation, in the worst case. But because the Self exists in relation to the world, becomes in and through participation in everyday events, and because the human relation is inherently ethical, there are inherent ethical questions where the Other may come to be harmed as much as the Self. URN: urn:nbn:de:0114-fqs0901381

  1. Deep Marginalized Sparse Denoising Auto-Encoder for Image Denoising

    Science.gov (United States)

    Ma, Hongqiang; Ma, Shiping; Xu, Yuelei; Zhu, Mingming

    2018-01-01

    Stacked Sparse Denoising Auto-Encoder (SSDA) has been successfully applied to image denoising. As a deep network, the SSDA network with powerful data feature learning ability is superior to the traditional image denoising algorithms. However, the algorithm has high computational complexity and slow convergence rate in the training. To address this limitation, we present a method of image denoising based on Deep Marginalized Sparse Denoising Auto-Encoder (DMSDA). The loss function of Sparse Denoising Auto-Encoder is marginalized so that it satisfies both sparseness and marginality. The experimental results show that the proposed algorithm can not only outperform SSDA in the convergence speed and training time, but also has better denoising performance than the current excellent denoising algorithms, including both the subjective and objective evaluation of image denoising.

  2. Globalisation, Crisis and Industrial Relations in the Indian Auto Industry

    DEFF Research Database (Denmark)

    D'Costa, Anthony

    2011-01-01

    This paper examines how the pattern of investment in the Indian auto industry has changed. The author argues that the industrial relations climate has been an important determinant of that pattern. Industrial relations climate is politically and institutionally determined hence any shift in the b......This paper examines how the pattern of investment in the Indian auto industry has changed. The author argues that the industrial relations climate has been an important determinant of that pattern. Industrial relations climate is politically and institutionally determined hence any shift...... in the broader capital-labour relation in the wider global economy due to globalisation is argued to be tempered by India's particular national and local institutions governing industrial relations, unionisation, the specific trajectory of the Indian auto industry, and economic development strategies. When much...

  3. Auto-focusing accelerating hyper-geometric laser beams

    International Nuclear Information System (INIS)

    Kovalev, A A; Kotlyar, V V; Porfirev, A P

    2016-01-01

    We derive a new solution to the paraxial wave equation that defines a two-parameter family of three-dimensional structurally stable vortex annular auto-focusing hyper-geometric (AH) beams, with their complex amplitude expressed via a degenerate hyper-geometric function. The AH beams are found to carry an orbital angular momentum and be auto-focusing, propagating on an accelerating path toward a focus, where the annular intensity pattern is ‘sharply’ reduced in diameter. An explicit expression for the complex amplitude of vortex annular auto-focusing hyper-geometric-Gaussian beams is derived. The experiment has been shown to be in good agreement with theory. (paper)

  4. [Dermatological features of auto-inflammatory recurrent fevers].

    Science.gov (United States)

    Escudier, A; Mauvais, F-X; Bastard, P; Boussard, C; Jaoui, A; Koskas, V; Lecoq, E; Michel, A; Orcel, M-C; Truelle, P-E; Wohrer, D; Piram, M

    2018-02-01

    Auto-inflammatory diseases are characterized by unexplained and recurrent attacks of systemic inflammation often involving the skin, joints, or serosal membranes. They are due to a dysfunction or dysregulation of the innate immunity, which is the first line of defense against pathogens. Early recognition of these diseases by the clinician, especially by pediatricians encountering such pathologies in pediatric patients, is primordial to avoid complications. Skin manifestations, common in most auto-inflammatory diseases, are helpful for prompt diagnosis. After a brief physiopathological review, we will describe auto-inflammatory recurrent fevers by their main dermatological presentations: urticarial lesions, neutrophilic dermatoses, panniculitis, other maculopapular eruptions, dyskeratosis, skin vasculitis, and oral aphthous. We finally suggest a decision tree to help clinicians better target genetic exams in patients with recurrent fevers and dermatological manifestations. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  5. COSMIC SHEAR MEASUREMENT USING AUTO-CONVOLVED IMAGES

    International Nuclear Information System (INIS)

    Li, Xiangchong; Zhang, Jun

    2016-01-01

    We study the possibility of using quadrupole moments of auto-convolved galaxy images to measure cosmic shear. The autoconvolution of an image corresponds to the inverse Fourier transformation of its power spectrum. The new method has the following advantages: the smearing effect due to the point-spread function (PSF) can be corrected by subtracting the quadrupole moments of the auto-convolved PSF; the centroid of the auto-convolved image is trivially identified; the systematic error due to noise can be directly removed in Fourier space; the PSF image can also contain noise, the effect of which can be similarly removed. With a large ensemble of simulated galaxy images, we show that the new method can reach a sub-percent level accuracy under general conditions, albeit with increasingly large stamp size for galaxies of less compact profiles.

  6. ANALYSIS OF CURRENT STATE AND FUTURE TRENDS OF AUTO PARTS MANUFACTURING SECTOR IN ROMANIA

    Directory of Open Access Journals (Sweden)

    DANIELA MIHAI

    2012-10-01

    Full Text Available In the economy of any country, the auto parts manufacturing sector holds an important percentage in the national automotive industry. The dynamics of sales within it can vary significantly on short term, depending on the automotive market trend. This is also the case of the current situation in Romania, where the effect of the regressive automotive sales evolution will propagate, most probably, with a significant delay for the companies involved in production and trade of auto parts (for both first-assembly manufacture and car maintenance and repair. The statistical data indicate that even though the total volume of vehicles delivered decreased with 7.4% in 2011 as compared to 2010, the total turnover of the companies in the automotive industry increased with 7.8%. The apparent paradox is explained in the present article through the particularities of the demand for spare parts intended for the rolling stock in operation and through the effective organization of the distribution system.

  7. Instant Autodesk AutoCAD 2014 customization with .NET

    CERN Document Server

    Nelson, Tom

    2013-01-01

    Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. An instruction-based guide with examples written in the C# programming language. VB.NET programmers can also take advantage of these examples by using one of the free conversion websites to convert the examples to VB.NET.Clear, step-by-step instructions and complete code examples illustrate the processes, making it easy to develop your own custom AutoCAD tools.This book is perfect if you are interested in customizing AutoCAD 2014 using the .NET API. You should have a basic familiari

  8. Temperamento, neuroticismo e auto-estima: estudo preliminar

    OpenAIRE

    Ito,Patrícia do Carmo Pereira; Gobitta,Mônica; Guzzo,Raquel Souza Lobo

    2007-01-01

    Esta pesquisa investigou correlações entre temperamento, neuroticismo e auto-estima. Participaram da amostra 42 universitários na faixa etária dos 19 aos 21 anos, os quais responderam às Escalas Fatorial de Ajustamento Emocional/Neuroticismo, Pavlovian Temperament Survey e Auto-Estima de Rosenberg. Os resultados indicaram que a dimensão força de excitação (Pavlovian Temperament Survey) apresentou correlações negativas significativas com as dimensões vulnerabilidade e ansiedade (Escalas Fatori...

  9. AUTO-EFICÁCIA E COPING EM POLICIAIS MILITARES

    OpenAIRE

    Barcelos, Ana Tereza David Pires

    2010-01-01

    O propósito desse estudo é conhecer as formas de enfrentamento a problemas (coping) que são mais utilizadas pelos policiais militares e qual é a influência que a crença de auto-eficácia exerce sobre a escolha e utilização de determinadas estratégias de coping. À guisa da importância de se relacionar a utilização de estratégias de coping à auto-eficácia, o levantamento na literatura demonstrou não haver estudos desenvolvidos no Brasil e no mundo acerca ...

  10. Dentists versus auto mechanics: are there ethical differences?

    Science.gov (United States)

    Riley, Crystal

    2013-01-01

    The different ethical perspectives of dentists and auto mechanics include primary concern, billing procedures, advertising, emergency care, the level of autonomy granted to their patients/ clients, the amount of disclosure given to their patients/clients, the ability to judge the work of others, and the freedom to pursue romantic relationships with their patients/clients. In analyzing these differences, one finds dentists to have much greater ethical obligations than auto mechanics. There are subtle differences between the ethical expectations of Canadian and United States dentists.

  11. Auto-Clustering using Particle Swarm Optimization and Bacterial Foraging

    DEFF Research Database (Denmark)

    Rutkowski Olesen, Jakob; Cordero, Jorge; Zeng, Yifeng

    2009-01-01

    This paper presents a hybrid approach for clustering based on particle swarm optimization (PSO) and bacteria foraging algorithms (BFA). The new method AutoCPB (Auto-Clustering based on particle bacterial foraging) makes use of autonomous agents whose primary objective is to cluster chunks of data...... by using simplistic collaboration. Inspired by the advances in clustering using particle swarm optimization, we suggest further improvements. Moreover, we gathered standard benchmark datasets and compared our new approach against the standard K-means algorithm, obtaining promising results. Our hybrid...

  12. STUDY CONCERNING CUSTOMERS’ LOYALTY IN THE AUTO MARKET

    Directory of Open Access Journals (Sweden)

    Tudor NISTORESCU

    2013-11-01

    Full Text Available In this paper we made an analysis of the loyalty in the auto market. We selected a sample from the residents of Craiova and asked them about their intentions concerning satisfaction, repurchase and recommendation regarding their cars. We used as auto market as the base of our study, since the car industry is very attractive to customers. We documented some correlation among the three dimensions of the loyalty. At the applicative level we found out that the loyalty toward the German cars is much higher than the loyalty for the cars from other countries. Further studies are needed to investigate the complex dimensions of the loyalty in-depth.

  13. Auto-calibration of Systematic Odometry Errors in Mobile Robots

    DEFF Research Database (Denmark)

    Bak, Martin; Larsen, Thomas Dall; Andersen, Nils Axel

    1999-01-01

    This paper describes the phenomenon of systematic errors in odometry models in mobile robots and looks at various ways of avoiding it by means of auto-calibration. The systematic errors considered are incorrect knowledge of the wheel base and the gains from encoder readings to wheel displacement....... By auto-calibration we mean a standardized procedure which estimates the uncertainties using only on-board equipment such as encoders, an absolute measurement system and filters; no intervention by operator or off-line data processing is necessary. Results are illustrated by a number of simulations...

  14. Linear regression in astronomy. II

    Science.gov (United States)

    Feigelson, Eric D.; Babu, Gutti J.

    1992-01-01

    A wide variety of least-squares linear regression procedures used in observational astronomy, particularly investigations of the cosmic distance scale, are presented and discussed. The classes of linear models considered are (1) unweighted regression lines, with bootstrap and jackknife resampling; (2) regression solutions when measurement error, in one or both variables, dominates the scatter; (3) methods to apply a calibration line to new data; (4) truncated regression models, which apply to flux-limited data sets; and (5) censored regression models, which apply when nondetections are present. For the calibration problem we develop two new procedures: a formula for the intercept offset between two parallel data sets, which propagates slope errors from one regression to the other; and a generalization of the Working-Hotelling confidence bands to nonstandard least-squares lines. They can provide improved error analysis for Faber-Jackson, Tully-Fisher, and similar cosmic distance scale relations.

  15. Time-adaptive quantile regression

    DEFF Research Database (Denmark)

    Møller, Jan Kloppenborg; Nielsen, Henrik Aalborg; Madsen, Henrik

    2008-01-01

    An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regression problem is given. The observations have been split to allow a direct use of the simplex algorithm. The simplex method...... and an updating procedure are combined into a new algorithm for time-adaptive quantile regression, which generates new solutions on the basis of the old solution, leading to savings in computation time. The suggested algorithm is tested against a static quantile regression model on a data set with wind power...... production, where the models combine splines and quantile regression. The comparison indicates superior performance for the time-adaptive quantile regression in all the performance parameters considered....

  16. Retro-regression--another important multivariate regression improvement.

    Science.gov (United States)

    Randić, M

    2001-01-01

    We review the serious problem associated with instabilities of the coefficients of regression equations, referred to as the MRA (multivariate regression analysis) "nightmare of the first kind". This is manifested when in a stepwise regression a descriptor is included or excluded from a regression. The consequence is an unpredictable change of the coefficients of the descriptors that remain in the regression equation. We follow with consideration of an even more serious problem, referred to as the MRA "nightmare of the second kind", arising when optimal descriptors are selected from a large pool of descriptors. This process typically causes at different steps of the stepwise regression a replacement of several previously used descriptors by new ones. We describe a procedure that resolves these difficulties. The approach is illustrated on boiling points of nonanes which are considered (1) by using an ordered connectivity basis; (2) by using an ordering resulting from application of greedy algorithm; and (3) by using an ordering derived from an exhaustive search for optimal descriptors. A novel variant of multiple regression analysis, called retro-regression (RR), is outlined showing how it resolves the ambiguities associated with both "nightmares" of the first and the second kind of MRA.

  17. Bias-corrected quantile regression estimation of censored regression models

    NARCIS (Netherlands)

    Cizek, Pavel; Sadikoglu, Serhan

    2018-01-01

    In this paper, an extension of the indirect inference methodology to semiparametric estimation is explored in the context of censored regression. Motivated by weak small-sample performance of the censored regression quantile estimator proposed by Powell (J Econom 32:143–155, 1986a), two- and

  18. Quantile regression theory and applications

    CERN Document Server

    Davino, Cristina; Vistocco, Domenico

    2013-01-01

    A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensivedescription of the main issues concerning quantile regression; these include basic modeling, geometrical interpretation, estimation and inference for quantile regression, as well as issues on validity of the model, diagnostic tools. Each methodological aspect is explored and

  19. Auto-associative segmentation for real-time object recognition in realistic outdoor images

    Science.gov (United States)

    Estevez, Leonardo W.; Kehtarnavaz, Nasser D.

    1998-04-01

    As digital signal processors (DSPs) become more advanced, many real-time recognition problems will be solved with completely integrated solutions. In this paper a methodology which is designed for today's DSP architectures and is capable of addressing applications in real-time color object recognition is presented. The methodology is integrated into a processing structure called raster scan video processing which requires a small amount of memory. The small amount of memory required enables the entire recognition system to be implemented on a single DSP. This auto-associative segmentation approach provides a means for desaturated color images to be segmented. The system is applied to the problem of stop sign recognition is realistically captured outdoor images.

  20. The feasibility of employing a home healthcare model for education and treatment of opioid overdose using a naloxone auto-injector in a private practice pain medicine clinic.

    Science.gov (United States)

    Dragovich, Anthony; Brason, Fred; Beltran, Thomas; McCoart, Amy; Plunkett, Anthony R

    2018-04-18

    The purpose of this study was to determine if employing a home healthcare model for education and treatment of opioid overdose using Evzio® (Naloxone)* auto-injector in a private practice pain clinic. A prospective survey was used to determine the feasibility of integrating a naloxone auto-injector within the patient's home with a home care training model. Twenty moderate or high-risk patients were enrolled from our chronic pain clinic. Patients who were moderate or high risk completed an evaluation survey. The naloxone auto-injector was dispensed to all patients meeting criteria. The treating provider after prescribing the naloxone auto-injector then consulted home health per standard clinical practice. All patients had home health consulted to perform overdose identification and rescue training. A Cochran's Q test was conducted to examine differences in patient knowledge pre and post training. The post training test was done 2-4 weeks later. Forty subjects enrolled after meeting inclusion/exclusion criteria. Twenty withdrew because their insurance declined coverage for the naloxone auto-injector. Those completing home health showed a statistically significant difference in their ability to correctly identify the steps needed to effectively respond to an overdose p = 0.03 Discussion: Preliminary evidence would suggest training on overdose symptom recognition and proper use of prescription naloxone for treatment in the home setting by home health staff would prove more beneficial than the clinic setting, but feasibility was hindered by unaffordable costs related to insurance coverage limitations.

  1. Auto-Gopher: A Wire-Line Rotary-Hammer Ultrasonic Drill

    Science.gov (United States)

    Badescu, Mircea; Sherrit, Stewart; Bao, Xiaogi; Bar-Cohen, Yoseph; Chen, Beck

    2011-01-01

    Developing technologies that would enable NASA to sample rock, soil, and ice by coring, drilling or abrading at a significant depth is of great importance for a large number of in-situ exploration missions as well as for earth applications. Proven techniques to sample Mars subsurface will be critical for future NASA astrobiology missions that will search for records of past and present life on the planet, as well as, the search for water and other resources. A deep corer, called Auto-Gopher, is currently being developed as a joint effort of the JPL's NDEAA laboratory and Honeybee Robotics Corp. The Auto-Gopher is a wire-line rotary-hammer drill that combines rock breaking by hammering using an ultrasonic actuator and cuttings removal by rotating a fluted bit. The hammering mechanism is based on the Ultrasonic/Sonic Drill/Corer (USDC) that has been developed as an adaptable tool for many of drilling and coring applications. The USDC uses an intermediate free-flying mass to transform the high frequency vibrations of the horn tip into a sonic hammering of a drill bit. The USDC concept was used in a previous task to develop an Ultrasonic/Sonic Ice Gopher. The lessons learned from testing the ice gopher were implemented into the design of the Auto-Gopher by inducing a rotary motion onto the fluted coring bit. A wire-line version of such a system would allow penetration of significant depth without a large increase in mass. A laboratory version of the corer was developed in the NDEAA lab to determine the design and drive parameters of the integrated system. The design configuration lab version of the design and fabrication and preliminary testing results are presented in this paper

  2. Spot auto-focusing and spot auto-stigmation methods with high-definition auto-correlation function in high-resolution TEM.

    Science.gov (United States)

    Isakozawa, Shigeto; Fuse, Taishi; Amano, Junpei; Baba, Norio

    2018-04-01

    As alternatives to the diffractogram-based method in high-resolution transmission electron microscopy, a spot auto-focusing (AF) method and a spot auto-stigmation (AS) method are presented with a unique high-definition auto-correlation function (HD-ACF). The HD-ACF clearly resolves the ACF central peak region in small amorphous-thin-film images, reflecting the phase contrast transfer function. At a 300-k magnification for a 120-kV transmission electron microscope, the smallest areas used are 64 × 64 pixels (~3 nm2) for the AF and 256 × 256 pixels for the AS. A useful advantage of these methods is that the AF function has an allowable accuracy even for a low s/n (~1.0) image. A reference database on the defocus dependency of the HD-ACF by the pre-acquisition of through-focus amorphous-thin-film images must be prepared to use these methods. This can be very beneficial because the specimens are not limited to approximations of weak phase objects but can be extended to objects outside such approximations.

  3. The role of personal values, urban form, and auto availability in the analysis of walking for transportation.

    Science.gov (United States)

    Coogan, Matthew A; Karash, Karla H; Adler, Thomas; Sallis, James

    2007-01-01

    To examine the association of personal values, the built environment, and auto availability with walking for transportation. Participants were drawn from 11 U.S. metropolitan areas with good transit services. 865 adults who had recently made or were contemplating making a residential move. Respondents reported if walking was their primary mode for nine trip purposes. "Personal values" reflected ratings of 15 variables assessing attitudes about urban and environmental attributes, with high reliability (ot = 0.85). Neighborhood form was indicated by a three-item scale. Three binary variables were created to reflect (1) personal values, (2) neighborhood form, and (3) auto availability. The association with walking was reported for each of the three variables, each combination of two variables, and the combination of three variables. An analysis of covariance was applied, and a hierarchic linear regression model was developed. All three variables were associated with walking, and all three variables interacted. The standardized coefficients were 0.23for neighborhood form, 0.21 for autos per person, and 0.18 for personal values. Positive attitudes about urban attributes, living in a supportive neighborhood, and low automobile availability significantly predicted more walking for transportation. A framework for further research is proposed in which a factor representing the role of the automobile is examined explicitly in addition to personal values and urban form.

  4. Logistic Regression: Concept and Application

    Science.gov (United States)

    Cokluk, Omay

    2010-01-01

    The main focus of logistic regression analysis is classification of individuals in different groups. The aim of the present study is to explain basic concepts and processes of binary logistic regression analysis intended to determine the combination of independent variables which best explain the membership in certain groups called dichotomous…

  5. Testing discontinuities in nonparametric regression

    KAUST Repository

    Dai, Wenlin

    2017-01-19

    In nonparametric regression, it is often needed to detect whether there are jump discontinuities in the mean function. In this paper, we revisit the difference-based method in [13 H.-G. Müller and U. Stadtmüller, Discontinuous versus smooth regression, Ann. Stat. 27 (1999), pp. 299–337. doi: 10.1214/aos/1018031100

  6. Illuminance Flow Estimation by Regression

    NARCIS (Netherlands)

    Karlsson, S.M.; Pont, S.C.; Koenderink, J.J.; Zisserman, A.

    2010-01-01

    We investigate the estimation of illuminance flow using Histograms of Oriented Gradient features (HOGs). In a regression setting, we found for both ridge regression and support vector machines, that the optimal solution shows close resemblance to the gradient based structure tensor (also known as

  7. "O auto-retrato em crianças institucionalizadas"

    Directory of Open Access Journals (Sweden)

    Sonia Regina Pasian

    1999-12-01

    Full Text Available O presente trabalho estudou, por meio de desenhos de auto-retrato, a imagem corporal e o auto-conceito de crianças institucionalizadas (n = 37 e não institucionalizadas (n = 32, do sexo masculino e com idade entre sete e treze anos. As crianças dos dois grupos foram pareadas em termos etários e de escolaridade. Sua produção gráfica foi avaliada pela Escala de Indicadores Emocionais de Koppitz. Os resultados apontaram diferenças significativas entre os dois grupos, evidenciando que os meninos institucionalizados apresentaram maior número de indicadores emocionais em seus auto-retratos. A idade não pareceu fator decisivo nestas diferenças. O tempo de vida na instituição sinalizou-se fator relevante nos resultados, favorecendo aquisição de elementos propiciadores de uma imagem corporal mais integrada, comparativamente àqueles meninos institucionalizados há pouco tempo. As evidências sugerem que a institucionalização causa impacto emocional negativo na criança, porém a qualidade das experiências neste contexto é que pareceu determinante para cristalizar ou não processos de auto-desvalorização.

  8. Bioremediation of Soil Microcosms from Auto-Mechanic Workshops ...

    African Journals Online (AJOL)

    Microbial activities are essential for the restoration of soil contaminated with hydrocarbons, their roles includes biotransformation and mineralization of petroleum products into harmless compounds. In this study eighty six soil samples from fifteen auto-mechanic workshops within Ilorin metropolis were collected. These were ...

  9. Genetic aspects of auto-immune profiles of healthy chickens

    NARCIS (Netherlands)

    Parmentier, Henk K.; Vaart, van der Priscilla S.; Nieuwland, Mike G.B.; Savelkoul, Huub F.J.

    2017-01-01

    Auto-antibody profiles binding liver antigens differed between chicken lines divergently selected for specific antibody responses to SRBC, and were affected by ageing suggesting both genetic and environmental effects. Presence and levels of IgM and IgG antibodies binding chicken liver cell lysate

  10. Auto-thiophosphorylation activity of Src tyrosine kinase.

    Science.gov (United States)

    Cabail, M Zulema; Chen, Emily I; Koller, Antonius; Miller, W Todd

    2016-07-07

    Intermolecular autophosphorylation at Tyr416 is a conserved mechanism of activation among the members of the Src family of nonreceptor tyrosine kinases. Like several other tyrosine kinases, Src can catalyze the thiophosphorylation of peptide and protein substrates using ATPγS as a thiophosphodonor, although the efficiency of the reaction is low. Here, we have characterized the ability of Src to auto-thiophosphorylate. Auto-thiophosphorylation of Src at Tyr416 in the activation loop proceeds efficiently in the presence of Ni(2+), resulting in kinase activation. Other tyrosine kinases (Ack1, Hck, and IGF1 receptor) also auto-thiophosphorylate in the presence of Ni(2+). Tyr416-thiophosphorylated Src is resistant to dephosphorylation by PTP1B phosphatase. Src and other tyrosine kinases catalyze auto-thiophosphorylation in the presence of Ni(2+). Thiophosphorylation of Src occurs at Tyr416 in the activation loop, and results in enhanced kinase activity. Tyr416-thiophosphorylated Src could serve as a stable, persistently-activated mimic of Src.

  11. Does negative auto-regulation increase gene duplicability?

    Directory of Open Access Journals (Sweden)

    Lercher Martin J

    2009-08-01

    Full Text Available Abstract Background A prerequisite for a duplication to spread through and persist in a given population is retaining expression of both gene copies. Yet changing a gene's dosage is frequently detrimental to fitness. Consequently, dosage-sensitive genes are less likely to duplicate. However, in cases where the level of gene product is controlled, via negative feedback, by its own abundance, an increase in gene copy number can in principle be decoupled from an increase in protein while both copies remain expressed. Using data from the transcriptional networks of E. coli and S. cerevisiae, we test the hypothesis that genes under negative auto-regulation show enhanced duplicability. Results Controlling for several known correlates of duplicability, we find no statistically significant support in either E. coli or S. cerevisiae that transcription factors under negative auto-regulation hold a duplicability advantage over transcription factors with no auto-regulation. Conclusion Based on the analysis of transcriptional networks in E. coli and S. cerevisiae, there is no evidence that negative auto-regulation has contributed, on a genome-wide scale, to the variability in gene family sizes in these species.

  12. Sex identification of Nigerian indigenous chicks using Auto-sexing ...

    African Journals Online (AJOL)

    Sexing has been a challenging task in Nigerian indigenous chickens due to the monomorphism of chicks which makes it impossible to distinguish the male from the female until eight weeks. . Therefore, this study was carried out to determine the sex of Nigerian indigenous chicks using the common auto-sexing methods.

  13. Auto-correlation analysis of ocean surface wind vectors

    Indian Academy of Sciences (India)

    The nature of the inherent temporal variability of surface winds is analyzed by comparison of winds obtained through different measurement methods. In this work, an auto-correlation analysis of a time series data of surface winds measured in situ by a deep water buoy in the Indian Ocean has been carried out. Hourly time ...

  14. Evaluation of Service Station Attendant-Auto Care Project.

    Science.gov (United States)

    Cress, Ronald J.

    The project described offers an approach to providing occupational skills to socially and educationally handicapped youth, specifically the skills necessary for a service station attendant in driveway salesmanship and auto care. The 10-page evaluation report presents project goals and objectives with evaluation data (represented graphically) and…

  15. Measurement of antiacetylcholine receptor auto-antibodies in ...

    African Journals Online (AJOL)

    Two different acetylcholine receptor (AChR) preparations derived from amputated human muscle (AChRAMP) and from the human rhabdomyosarcoma cell line TE671 (AChRTE67,) were compared in radio-immunoprecipitation assays for the detection of AChR auto-antibodies in serum specimens from 20 patients with ...

  16. Measurement of anti- acetylcholine receptor auto-antibodies in ...

    African Journals Online (AJOL)

    Two different acetylcholine receptor (AChR) preparations derived from amputated human muscle (AChRAMP) and from the human rhabdomyosarcoma cell line TE671 (AChRTE67,) were compared in radio-immunoprecipitation assays for the detection of AChR auto-antibodies in serum specimens from 20 patients with ...

  17. The Use of Vincristine in Refractory Auto-immune Thrombocytopenic ...

    African Journals Online (AJOL)

    Two patients with auto-immune thrombocytopenic purpura are reported who continued to bleed despite high doses of corticosteroids, immunosuppressive therapy and splenec- tomy. The addition of vincristine to their therapeutic regimen produced a response in each case and both patients are now off all therapy without ...

  18. Dispersion effect and auto-reconditioning performance of nanometer ...

    Indian Academy of Sciences (India)

    This paper reported on dispersion effect and dispersing techniques of nanometer WS2 particles in the green lubricant concocted by us. And it also researched on auto-reconditioning performance of nanometer WS2 particles to the abrasive surfaces of steel ball from four-ball tribology test and piston ring from engine ...

  19. Auto-immune Haematological Complications Occurring during the ...

    African Journals Online (AJOL)

    1974-10-19

    Oct 19, 1974 ... Immunohaematological disorders may complicate the clini- cal course of patients with chronic lymphocytic leukaemia, lymphocytic lymphoma and Hodgkin's disease.'" Auto- immune haemolytic anaemia is the most common of these complications, occurring in approximately 10 - 25'% of patients with ...

  20. Fra form-Z til AutoCad

    DEFF Research Database (Denmark)

    Jensen, Henrik

    2003-01-01

    Dette kursus er lavet for at forberede de studerende til deres tegnestuepraktik, og dets indhold er planlagt i samarbejde med tegnestuerne. I 2003 var form-Z Arkitektskolens grundlæggende CAD-program; men på tegnestuerne arbejde man med AutoCad. Kurset er opbygget over CAD Clasic skabelonen (se min...

  1. The use of vincristine in refractory auto-immune thrombocytopenic ...

    African Journals Online (AJOL)

    Two patients with auto-immune thrombocytopenic purpura are reported who continued to bleed despite high doses of corticosteroids, immunosuppressive therapy and splenectomy. The addition of vincristine to their therapeutic regimen produced a response in each case and both patients are now off all therapy without ...

  2. La allegoria en los autos y farsas anteriores a calderon

    NARCIS (Netherlands)

    Fothergill Payne-Guépin, Louise Wilhelmina

    1976-01-01

    In Spanje is men pas in de twintiger jaren begonnen de allegorie weer als waardige component van de figuratieve expressie te beschouwen. In 1924 rehabiliteert Valbuena Prat de autos Sacramentales van Calderón en in hetzelfde jaar analyseert Jean Baruzi, gevolgd door de grote filoloog Dámaso Alonso,

  3. Building a base map with AutoCAD

    Energy Technology Data Exchange (ETDEWEB)

    Flarity, S.J. (CADX, Houston, TX (USA))

    1989-12-01

    The fundamental step in the exploration process is building a base map. Consequently, any serious computer exploration program should be capable of providing base maps. Data used in constructing base maps are available from commercial sources such as Tobin. and Petroleum Information. These data sets include line and well data, the line data being latitude longitude vectors, and the ell data any identifying text information for well and their locations. AutoCAD is a commercial program useful in building base maps. Its features include infinite zoom and pan capability, layering, block definition, text dialog boxes, and a command language, AutoLisp. AutoLisp provides more power by allowing the geologist to modify the way the program works. Three AutoLisp routines presented here allow geologists to construct a geologic base map from raw Tobin data. The first program, WELLS.LSP, sets up the map environment for the subsequent programs, WELLADD.LSP and LINEADD.LSP. Welladd.lisp reads the Tobin data and spots the well symbols and the identifying information. Lineadd.lsp performs the same task on line and textural information contained within the data set.

  4. Propane Canada's first ever auto propane conversion directory

    International Nuclear Information System (INIS)

    Anon.

    1999-01-01

    A directory of auto propane dealers in Alberta, British Columbia and Manitoba was presented. Dealers in Calgary, Edmonton, Burnaby, Dawson Creek and Winnipeg were listed along with their addresses, phone numbers, fax, and E-mail addresses. Some of the other information provided included accreditation, equipment used and manufacturer brands used by the dealers

  5. Assessment of heavy metal exposure around auto body refinishing ...

    African Journals Online (AJOL)

    Significant number of occupations are present in our society which involves metal pollution. These small operational occupations which are always neglected by governments and other occupational health services are another major factor of metal flow in urban soil. The local auto body refinishing shops are one of these ...

  6. Heavy Metals in Soils of auto- mechanic shops and refuse ...

    African Journals Online (AJOL)

    Dumpsites soil samples in Apir and North Bank Auto- mechanic workshop locations in Makurdi, the Benue State capital located on latitude 70 44'N and longitude 80 32'E of the Equator situated in a valley in north central Nigeria, 100m above sea level, were collected and analyzed for content of selected heavy metals.

  7. Performances of estimators of linear model with auto-correlated ...

    African Journals Online (AJOL)

    Performances of estimators of linear model with auto-correlated error terms when the independent variable is normal. ... On the other hand, the same slope coefficients β , under Generalized Least Squares (GLS) decreased with increased autocorrelation when the sample size T is small. Journal of the Nigerian Association ...

  8. Synthesis and luminescence in sol–gel auto-combustion ...

    Indian Academy of Sciences (India)

    2017-11-14

    gel auto-combustion method calcined at 800. ◦. C for 1h. The samples are found to be well-crystallized pure orthorhombic CaSnO3 structure. Photolumi- nescence (PL) measurements indicated that the undoped sample exhibits ...

  9. Careers in Auto Racing: Work in the Fast Lane

    Science.gov (United States)

    Lawhorn, William

    2009-01-01

    Long before most people had seen an automobile, thrill-seekers across the globe were driving cars competitively. The speed of racecars has accelerated steadily, as has the popularity of the sport. In public opinion polls of sports popularity, in fact, auto racing consistently finishes near the top. Racecar drivers may be the star of their event,…

  10. Comparison of two (geometric) algorithms for auto OMA

    DEFF Research Database (Denmark)

    Juul, Martin; Olsen, Peter; Balling, Ole

    2018-01-01

    parameters. The two algorithms are compared and illustrated on simulated data. Different choices of distance measures are discussed and evaluated. It is illustrated how a simple distance measure outperforms traditional distance measures from other Auto OMA algorithms. Traditional measures are unable...

  11. High speed auto-charging system for condenser bank

    International Nuclear Information System (INIS)

    Mizuno, Yasunori; Bito, Fumio; Fujita, Kazuhiko; Sometani, Taro

    1987-01-01

    A current-control type high-speed charging system, which is intended for auto-charging of the condenser bank, is developed. Moreover, the system can also serve to compensate the current leakage from the condenser bank so that the charged voltage can be kept constant. The system consists of a sequence circuit, a charging current control circuit (or auto-charging circuit) and a charging circuit. The auto-charging circuit is characterized by the use of a triac to control the current. The current, controlled by the circuit, is supplied to the condenser bank through a step-up transformer and voltage doubler rectifier circuit. It is demonstrated that the use of the high-speed auto-charging circuit can largely decrease the required charging time, compared to constant voltage charging. In addition, the compensation function is shown to serve effectively for maintaining a constant voltage after the completion of charging. The required charging time is decreases as the charging current increases. The maximum charging current is decided by the rating of the traic and the current rating of the rectifier diode in the secondary circuit. Major components of these circuits have decreased impedances to minimize the effect of noise, so that the possibility of an accident can be eliminated. Other various improvements are made in the grounding circuit and the charging protection circuit in order to ensure safety. (Nogami, K.)

  12. Auto-Calibrated Gaze Estimation Using Human Gaze Patterns

    NARCIS (Netherlands)

    Alnajar, F.; Gevers, T.; Valenti, R.; Ghebreab, S.

    We present a novel method to auto-calibrate gaze estimators based on gaze patterns obtained from other viewers. Our method is based on the observation that the gaze patterns of humans are indicative of where a new viewer will look at. When a new viewer is looking at a stimulus, we first estimate a

  13. Fra form-Z til AutoCad

    DEFF Research Database (Denmark)

    Jensen, Henrik

    2003-01-01

    Dette kursus er lavet for at forberede de studerende til deres tegnestuepraktik, og dets indhold er planlagt i samarbejde med tegnestuerne. I 2003 var form-Z Arkitektskolens grundlæggende CAD-program; men på tegnestuerne arbejde man med AutoCad. Kurset er opbygget over CAD Clasic skabelonen (se m...

  14. Fungible weights in logistic regression.

    Science.gov (United States)

    Jones, Jeff A; Waller, Niels G

    2016-06-01

    In this article we develop methods for assessing parameter sensitivity in logistic regression models. To set the stage for this work, we first review Waller's (2008) equations for computing fungible weights in linear regression. Next, we describe 2 methods for computing fungible weights in logistic regression. To demonstrate the utility of these methods, we compute fungible logistic regression weights using data from the Centers for Disease Control and Prevention's (2010) Youth Risk Behavior Surveillance Survey, and we illustrate how these alternate weights can be used to evaluate parameter sensitivity. To make our work accessible to the research community, we provide R code (R Core Team, 2015) that will generate both kinds of fungible logistic regression weights. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  15. Assessment of the Use of AutoCAD in Mechanical Engineering Technical Drawing Education

    OpenAIRE

    Akyürek, Turgut

    2018-01-01

    AutoCAD is one of the widely used software tools in engineering education. In this study, ageneral assessment of AutoCAD for the usage in the mechanical engineering technical drawing educationis made. AutoCAD is assessed in terms of the fulfilment of the requirements defined for the main twotechnical drawing courses. AutoCAD is assessed in terms of its capability in meeting the requirements ofthe technical drawing courses.

  16. Research on remote sensing image pixel attribute data acquisition method in AutoCAD

    Science.gov (United States)

    Liu, Xiaoyang; Sun, Guangtong; Liu, Jun; Liu, Hui

    2013-07-01

    The remote sensing image has been widely used in AutoCAD, but AutoCAD lack of the function of remote sensing image processing. In the paper, ObjectARX was used for the secondary development tool, combined with the Image Engine SDK to realize remote sensing image pixel attribute data acquisition in AutoCAD, which provides critical technical support for AutoCAD environment remote sensing image processing algorithms.

  17. Tumor regression patterns in retinoblastoma

    International Nuclear Information System (INIS)

    Zafar, S.N.; Siddique, S.N.; Zaheer, N.

    2016-01-01

    To observe the types of tumor regression after treatment, and identify the common pattern of regression in our patients. Study Design: Descriptive study. Place and Duration of Study: Department of Pediatric Ophthalmology and Strabismus, Al-Shifa Trust Eye Hospital, Rawalpindi, Pakistan, from October 2011 to October 2014. Methodology: Children with unilateral and bilateral retinoblastoma were included in the study. Patients were referred to Pakistan Institute of Medical Sciences, Islamabad, for chemotherapy. After every cycle of chemotherapy, dilated funds examination under anesthesia was performed to record response of the treatment. Regression patterns were recorded on RetCam II. Results: Seventy-four tumors were included in the study. Out of 74 tumors, 3 were ICRB group A tumors, 43 were ICRB group B tumors, 14 tumors belonged to ICRB group C, and remaining 14 were ICRB group D tumors. Type IV regression was seen in 39.1% (n=29) tumors, type II in 29.7% (n=22), type III in 25.6% (n=19), and type I in 5.4% (n=4). All group A tumors (100%) showed type IV regression. Seventeen (39.5%) group B tumors showed type IV regression. In group C, 5 tumors (35.7%) showed type II regression and 5 tumors (35.7%) showed type IV regression. In group D, 6 tumors (42.9%) regressed to type II non-calcified remnants. Conclusion: The response and success of the focal and systemic treatment, as judged by the appearance of different patterns of tumor regression, varies with the ICRB grouping of the tumor. (author)

  18. Genetic aspects of auto-immune profiles of healthy chickens.

    Science.gov (United States)

    Parmentier, Henk K; van der Vaart, Priscilla S; Nieuwland, Mike G B; Savelkoul, Huub F J

    2017-09-01

    Auto-antibody profiles binding liver antigens differed between chicken lines divergently selected for specific antibody responses to SRBC, and were affected by ageing suggesting both genetic and environmental effects. Presence and levels of IgM and IgG antibodies binding chicken liver cell lysate (CLL) fragments in plasma at 5 weeks of age from 10 individual full sibs and their parents from 5 H srbc and 5 L srbc line families was studied to reveal genetic relations. Non-genetic maternal effects were studied by comparing auto-antibody profiles of 36 weeks old hens from 2 other unrelated lines with the profiles from their chicks at hatch. IgM and IgG antibodies from parents and progeny from both H srbc and L srbc lines bound CLL fragments. Significant line and generation differences and their interactions were found for both isotypes. Higher staining of CLL fragments was usually found for H srbc line birds. Lines were clustered by auto-antibody profiles, but staining by birds of both lines in both generations was very individual for IgG and IgM. The current data with full sibs therefore not supported a genetic basis for auto-antibody profiles. IgG but not IgM auto-antibody profiles of chicks correlated with maternal auto-antibody profiles. The results suggest that the auto-antibody repertoire of healthy chickens is largely stochastically initiated and may be affected by environmental challenges during ageing, but genetic mechanisms may underlie staining intensity of individual bound CLL fragments. The present results suggest that identification of fragments or profiles to be used at early age for genetic selection for health traits is not feasible yet. Secondly, the IgM profile of neonatal chickens seems non-organised independent of the maternal profile, but the neonatal IgG profile is much more related with the maternal profile. Consequences of these findings for disease susceptibility or breeding for optimal health are discussed. Copyright © 2017 Elsevier Ltd. All

  19. Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features

    DEFF Research Database (Denmark)

    Andreasen, Daniel; Morgenthaler Edmund, Jens; Zografos, Vasileios

    2016-01-01

    . In this work, we explore a machine learning approach for creating a pCT of the pelvic region from conventional MRI sequences without using atlases. We use a random forest provided with information about local texture, edges and spatial features derived from the MRI. This helps to solve intensity ambiguities....... Furthermore, we use the concept of auto-context by sequentially training a number of classification forests to create and improve context features, which are finally used to train a regression forest for pCT prediction. We evaluate the pCT quality in terms of the voxel-wise error and the radiologic accuracy...

  20. Collective Mind: Towards Practical and Collaborative Auto-Tuning

    Directory of Open Access Journals (Sweden)

    Grigori Fursin

    2014-01-01

    Full Text Available Empirical auto-tuning and machine learning techniques have been showing high potential to improve execution time, power consumption, code size, reliability and other important metrics of various applications for more than two decades. However, they are still far from widespread production use due to lack of native support for auto-tuning in an ever changing and complex software and hardware stack, large and multi-dimensional optimization spaces, excessively long exploration times, and lack of unified mechanisms for preserving and sharing of optimization knowledge and research material. We present a possible collaborative approach to solve above problems using Collective Mind knowledge management system. In contrast with previous cTuning framework, this modular infrastructure allows to preserve and share through the Internet the whole auto-tuning setups with all related artifacts and their software and hardware dependencies besides just performance data. It also allows to gradually structure, systematize and describe all available research material including tools, benchmarks, data sets, search strategies and machine learning models. Researchers can take advantage of shared components and data with extensible meta-description to quickly and collaboratively validate and improve existing auto-tuning and benchmarking techniques or prototype new ones. The community can now gradually learn and improve complex behavior of all existing computer systems while exposing behavior anomalies or model mispredictions to an interdisciplinary community in a reproducible way for further analysis. We present several practical, collaborative and model-driven auto-tuning scenarios. We also decided to release all material at c-mind.org/repo to set up an example for a collaborative and reproducible research as well as our new publication model in computer engineering where experimental results are continuously shared and validated by the community.

  1. Diagnostic Utility of Auto-Antibodies in Inflammatory Muscle Diseases.

    Science.gov (United States)

    Allenbach, Y; Benveniste, O

    2015-01-01

    To date, there are four main groups of idiopathic inflammatory myopathies (IIM): polymyositis (PM), dermatomyositis (DM), immune-mediated necrotizing myopathy (IMNM) and sporadic inclusion body myositis; based on clinical presentation and muscle pathology. Nevertheless, important phenotypical differences (either muscular and/or extra-muscular manifestations) within a group persist. In recent years, the titration of different myositis-specific (or associated) auto-antibodies as a diagnostic tool has increased. This is an important step forward since it may facilitate, at a viable cost, the differential diagnosis between IIM and other myopathies. We have now routine access to assays for the detection of different antibodies. For example, IMNM are related to the presence of anti-SRP or anti-HMGCR. PM is associated with anti-synthetase antibodies (anti-Jo-1, PL-7, PL-12, OJ, and EJ) and DM with anti-Mi-2, anti-SAE, anti-TIF-1-γ and anti-NXP2 (both associated with cancer) or anti-MDA5 antibodies (associated with interstitial lung disease). Today, over 30 myositis specific and associated antibodies have been characterised, and all groups of myositis may present one of those auto-antibodies. Most of them allow identification of homogenous patient groups, more precisely than the classical international classifications of myositis. This implies that classification criteria could be modified accordingly, since these auto-antibodies delineate groups of patients suffering from myositis with consistent clinical phenotype (muscular and extra-muscular manifestations), common prognostic (cancer association, presence of interstitial lung disease, mortality and risk of relapse) and treatment responses. Nevertheless, since numerous auto-antibodies have been recently characterised, the exact prevalence of myositis specific antibodies remains to be documented, and research of new auto-antibodies in the remaining seronegative group is still needed.

  2. Cross- and auto-correlation in early vision.

    Science.gov (United States)

    Barlow, Horace; Berry, David L

    2011-07-07

    Neurons that respond selectively to the orientation of visual stimuli were discovered in V1 more than 50 years ago, but it is still not fully understood how or why this is brought about. We report experiments planned to show whether human observers use cross-correlation or auto-correlation to detect oriented streaks in arrays of randomly positioned dots, expecting that this would help us to understand what David Marr called the 'computational goal' of V1. The streaks were generated by two different methods: either by sinusoidal spatial modulation of the local mean dot density, or by introducing coherent pairs of dots to create moiré patterns, as Leon Glass did. A wide range of dot numbers was used in the randomly positioned arrays, because dot density affects cross- and auto-correlation differently, enabling us to infer which method was used. This difference stems from the fact that the cross-correlation task is limited by random fluctuations in the local mean density of individual dots in the noisy array, whereas the auto-correlation task is limited by fluctuations in the numbers of randomly occurring spurious pairs having the same separation and orientation as the deliberately introduced coherent pairs. After developing a new method using graded dot luminances, we were able to extend the range of dot densities that could be used by a large factor, and convincing results were obtained indicating that the streaks generated by amplitude modulation were discriminated by cross-correlation, while those generated as moiré patterns were discriminated by auto-correlation. Though our current results only apply to orientation selectivity, it is important to know that early vision can do more than simple filtering, for evaluating auto-correlations opens the way to more interesting possibilities, such as the detection of symmetries and suspicious coincidences.

  3. Gender-Role Stereotyping among Auto-Artisans in Ghana | Edjah ...

    African Journals Online (AJOL)

    Gender-Role Stereotyping among Auto-Artisans in Ghana. ... Gender stereotyped beliefs continue to influence behaviour and attitudes of people towards choice of vocations in many parts Africa and elsewhere. ... Finally, there is a significant and strong relationship between sex and choice of auto- work of auto-artisans.

  4. 78 FR 74128 - Proposed CERCLA Administrative Cost Recovery Settlement; Cadie Auto Salvage Site, Belvidere...

    Science.gov (United States)

    2013-12-10

    ... Recovery Settlement; Cadie Auto Salvage Site, Belvidere, Boone County, Illinois AGENCY: Environmental... Auto Salvage Site in Belvidere, Boone County, Illinois with the following settling parties: UOP, LLC... Cadie Auto Salvage Site, Belvidere, Boone County, Illinois and EPA Docket No. and should be addressed to...

  5. Inducverters: PLL-Less Converters with Auto-Synchronization and Emulated Inertia Capability

    DEFF Research Database (Denmark)

    Ashabani, Mahdi; Freijedo Fernandez, Francisco Daniel; Golestan, Saeed

    2016-01-01

    -locked-loop (PLL). Therefore, it offers a simpler and more reliable control strategy with improved performance, as it provides real auto-start and auto-synchronization with a grid without the need for grid voltage information. A current damping/synchronization unit enables grid auto-synchronization by using local...

  6. 78 FR 77673 - Proposed CERCLA Administrative Cost Recovery Settlement; Cadie Auto Salvage Site, Belvidere...

    Science.gov (United States)

    2013-12-24

    ... Recovery Settlement; Cadie Auto Salvage Site, Belvidere, Boone County, Illinois AGENCY: Environmental... Auto Salvage Site in Belvidere, Boone County, Illinois with the following settling party: Helen E... reference the Cadie Auto Salvage Site, Belvidere, Boone County, Illinois and EPA Docket No. and should be...

  7. Auto Body Welding 2 (Course Outline), Automotive Body Repair and Refinishing 1: 9033.04.

    Science.gov (United States)

    Dade County Public Schools, Miami, FL.

    The 90-hour course is a foundation quinmester course in welding for the auto body repairman. The outline consists of seven blocks of instruction (orientation, 6 hours; auto body oxyacetylene welding, 10 hours; electric arc welding equipment, 6 hours; auto body electric arc welding, 8 hours; position welding, 40 hours; electric spot welders, 16…

  8. 77 FR 16224 - Billion Auto, Inc.; Analysis of Proposed Consent Order To Aid Public Comment

    Science.gov (United States)

    2012-03-20

    ... FEDERAL TRADE COMMISSION [File No. 112 3209] Billion Auto, Inc.; Analysis of Proposed Consent... ``Billion Auto, File No. 112 3209'' on your comment, and file your comment online at https://ftcpublic... April 16, 2012. Write ``Billion Auto, File No. 112 3209'' on your comment. Your comment--including your...

  9. 75 FR 65524 - United Auto Workers Local 1999, Oklahoma City, OK; Notice of Negative Determination Regarding...

    Science.gov (United States)

    2010-10-25

    ... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-71,863] United Auto Workers Local... workers and former workers of United Auto Workers Local 1999, Oklahoma City, Oklahoma (the subject firm... Auto Workers Local 1999, Oklahoma City, Oklahoma, was based on the findings that the workers at the...

  10. 75 FR 24753 - The Walker Auto Group, Inc., Miamisburg, OH; Notice of Negative Determination Regarding...

    Science.gov (United States)

    2010-05-05

    ... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-72,471] The Walker Auto Group... Auto Group, Inc., Miamisburg, Ohio, was based on the finding that the subject firm did not shift abroad... of the subject firm should be eligible for TAA because the Walker Auto Group, Inc., Miamisburg, Ohio...

  11. Regression analysis with categorized regression calibrated exposure: some interesting findings

    Directory of Open Access Journals (Sweden)

    Hjartåker Anette

    2006-07-01

    Full Text Available Abstract Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e.g. quintile scale, an approach commonly used in epidemiologic studies. A tempting solution could then be to use the predicted continuous exposure obtained through the regression calibration method and treat it as an approximation to the true exposure, that is, include the categorized calibrated exposure in the main regression analysis. Methods We use semi-analytical calculations and simulations to evaluate the performance of the proposed approach compared to the naive approach of not correcting for measurement error, in situations where analyses are performed on quintile scale and when incorporating the original scale into the categorical variables, respectively. We also present analyses of real data, containing measures of folate intake and depression, from the Norwegian Women and Cancer study (NOWAC. Results In cases where extra information is available through replicated measurements and not validation data, regression calibration does not maintain important qualities of the true exposure distribution, thus estimates of variance and percentiles can be severely biased. We show that the outlined approach maintains much, in some cases all, of the misclassification found in the observed exposure. For that reason, regression analysis with the corrected variable included on a categorical scale is still biased. In some cases the corrected estimates are analytically equal to those obtained by the naive approach. Regression calibration is however vastly superior to the naive method when applying the medians of each category in the analysis. Conclusion Regression calibration in its most well-known form is not appropriate for measurement error correction when the exposure is analyzed on a

  12. Logic regression and its extensions.

    Science.gov (United States)

    Schwender, Holger; Ruczinski, Ingo

    2010-01-01

    Logic regression is an adaptive classification and regression procedure, initially developed to reveal interacting single nucleotide polymorphisms (SNPs) in genetic association studies. In general, this approach can be used in any setting with binary predictors, when the interaction of these covariates is of primary interest. Logic regression searches for Boolean (logic) combinations of binary variables that best explain the variability in the outcome variable, and thus, reveals variables and interactions that are associated with the response and/or have predictive capabilities. The logic expressions are embedded in a generalized linear regression framework, and thus, logic regression can handle a variety of outcome types, such as binary responses in case-control studies, numeric responses, and time-to-event data. In this chapter, we provide an introduction to the logic regression methodology, list some applications in public health and medicine, and summarize some of the direct extensions and modifications of logic regression that have been proposed in the literature. Copyright © 2010 Elsevier Inc. All rights reserved.

  13. Efficient Blind System Identification of Non-Gaussian Auto-Regressive Models with HMM Modeling of the Excitation

    DEFF Research Database (Denmark)

    Li, Chunjian; Andersen, Søren Vang

    2007-01-01

    noise. For both models, exact EM algorithms are derived for the joint estimation of all system parameters. The exact EM algorithms are obtainable only by appropriate constraints in the model design, and have better convergence properties than algorithms employing generalized EM algorithm or empirical...... iterative schemes. The proposed methods also enjoy good data efficiency since only second order statistics is involved in the computation. When measurement noise is present, a novel Switching Kalman Smoother is incorporated into the EM algorithm, obtaining optimum nonlinear MMSE estimates of the system...

  14. Application of time-lagged ensemble approach with auto-regressive processors to reduce uncertainties in peak discharge and timing

    Directory of Open Access Journals (Sweden)

    Kyung-Jin Kim

    2017-02-01

    An accuracy evaluation using observations from 2002 to 2009 found that the time-lagged ensemble approach alone produced significant bias but the AR processor reduced the relative error percentage of the peak discharge from 60% to 10% and also decreased the peak timing error from more than 10 h to less than 3 h, on average. The proposed methodology is easy and inexpensive to implement with the existing products and models and thus can be immediately activated until a new product for forecasted meteorological ensembles is officially issued in Korea.

  15. REFLEXÕES ACERCA DOS CONCEITOS AUTO-CUIDADO E COMPETÊNCIA/PODER PARA O AUTO-CUIDADO

    Directory of Open Access Journals (Sweden)

    Eloita Pereira Neves

    Full Text Available Neste trabalho a autora apresenta alguns aspectos da teoria de auto-cuidado de Orem e discute sua visão sobre poder/competência para abordagem cognitiva, baseada na teoria de desenvolvimento cognitivo de Perry. Alguns estudos que dão suporte a sua abordagem são revistas.

  16. BRGLM, Interactive Linear Regression Analysis by Least Square Fit

    International Nuclear Information System (INIS)

    Ringland, J.T.; Bohrer, R.E.; Sherman, M.E.

    1985-01-01

    1 - Description of program or function: BRGLM is an interactive program written to fit general linear regression models by least squares and to provide a variety of statistical diagnostic information about the fit. Stepwise and all-subsets regression can be carried out also. There are facilities for interactive data management (e.g. setting missing value flags, data transformations) and tools for constructing design matrices for the more commonly-used models such as factorials, cubic Splines, and auto-regressions. 2 - Method of solution: The least squares computations are based on the orthogonal (QR) decomposition of the design matrix obtained using the modified Gram-Schmidt algorithm. 3 - Restrictions on the complexity of the problem: The current release of BRGLM allows maxima of 1000 observations, 99 variables, and 3000 words of main memory workspace. For a problem with N observations and P variables, the number of words of main memory storage required is MAX(N*(P+6), N*P+P*P+3*N, and 3*P*P+6*N). Any linear model may be fit although the in-memory workspace will have to be increased for larger problems

  17. Abstract Expression Grammar Symbolic Regression

    Science.gov (United States)

    Korns, Michael F.

    This chapter examines the use of Abstract Expression Grammars to perform the entire Symbolic Regression process without the use of Genetic Programming per se. The techniques explored produce a symbolic regression engine which has absolutely no bloat, which allows total user control of the search space and output formulas, which is faster, and more accurate than the engines produced in our previous papers using Genetic Programming. The genome is an all vector structure with four chromosomes plus additional epigenetic and constraint vectors, allowing total user control of the search space and the final output formulas. A combination of specialized compiler techniques, genetic algorithms, particle swarm, aged layered populations, plus discrete and continuous differential evolution are used to produce an improved symbolic regression sytem. Nine base test cases, from the literature, are used to test the improvement in speed and accuracy. The improved results indicate that these techniques move us a big step closer toward future industrial strength symbolic regression systems.

  18. From Rasch scores to regression

    DEFF Research Database (Denmark)

    Christensen, Karl Bang

    2006-01-01

    Rasch models provide a framework for measurement and modelling latent variables. Having measured a latent variable in a population a comparison of groups will often be of interest. For this purpose the use of observed raw scores will often be inadequate because these lack interval scale propertie....... This paper compares two approaches to group comparison: linear regression models using estimated person locations as outcome variables and latent regression models based on the distribution of the score....

  19. Testing Heteroscedasticity in Robust Regression

    Czech Academy of Sciences Publication Activity Database

    Kalina, Jan

    2011-01-01

    Roč. 1, č. 4 (2011), s. 25-28 ISSN 2045-3345 Grant - others:GA ČR(CZ) GA402/09/0557 Institutional research plan: CEZ:AV0Z10300504 Keywords : robust regression * heteroscedasticity * regression quantiles * diagnostics Subject RIV: BB - Applied Statistics , Operational Research http://www.researchjournals.co.uk/documents/Vol4/06%20Kalina.pdf

  20. Regression methods for medical research

    CERN Document Server

    Tai, Bee Choo

    2013-01-01

    Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the

  1. Dimension Reduction Regression in R

    Directory of Open Access Journals (Sweden)

    Sanford Weisberg

    2002-01-01

    Full Text Available Regression is the study of the dependence of a response variable y on a collection predictors p collected in x. In dimension reduction regression, we seek to find a few linear combinations β1x,...,βdx, such that all the information about the regression is contained in these linear combinations. If d is very small, perhaps one or two, then the regression problem can be summarized using simple graphics; for example, for d=1, the plot of y versus β1x contains all the regression information. When d=2, a 3D plot contains all the information. Several methods for estimating d and relevant functions of β1,..., βdhave been suggested in the literature. In this paper, we describe an R package for three important dimension reduction methods: sliced inverse regression or sir, sliced average variance estimates, or save, and principal Hessian directions, or phd. The package is very general and flexible, and can be easily extended to include other methods of dimension reduction. It includes tests and estimates of the dimension , estimates of the relevant information including β1,..., βd, and some useful graphical summaries as well.

  2. Design Of Toyota Home Service Applications For AUTO2000 Based On Android

    OpenAIRE

    Aswin, Arief Rahmadian

    2016-01-01

    AUTO2000 is a network of sales services, maintenance, repair and supply of spare parts Toyota that was established in 1975 under the name Astra Motor Sales, in 1989 changed its name to AUTO2000 with management that has been handled entirely by PT. Astra International Tbk. Services provided by AUTO2000 one of which is a service of Toyota Home Service, a service provided by the service vehicle Auto 2000 where customers can service their vehicles without having to come to the dealership Auto 200...

  3. Testing quality of a self-monitoring blood glucose sensor with an auto-coding mechanism when used by patients versus technicians.

    Science.gov (United States)

    Hsu, Cheng-Teng; Wu, Ming-Hsun; Kuo, Chih-Yi; Zen, Jyh-Myng

    2014-11-01

    In response to the problem of erroneous readings due to miscoding when performing self-monitoring blood glucose (SMBG), this study introduces a user-friendly SMBG biosensor with an innovative auto-coding module on the meter and strip. Actual users characterized the performance of the SMBG systems. A total of 105 patients were incorporated in the study and Clarke error grid analysis (EGA) was administered to evaluate the clinical accuracy of the results obtained by the patients versus the technicians. All patients used the questionnaires to comment on the use of the auto-coding sensor. In the imprecision test, the total CV of the 5 BG levels was 2.1%. In the EGA plot, the results of the auto-coding sensor were 96.2%, both lots A and B, in zone A for the patients and 99.0% and 97.1% for the technician. The paired t-test demonstrated no statistically significant difference between the patient and technician measurements. Regression analysis also demonstrated that the measurements taken by the patients agreed with those obtained using the laboratory method. The patients achieved satisfactory performance using the auto-coding SMBG sensor and derived similar results with both laboratory reference and operation by a technician. Copyright © 2014 Elsevier B.V. All rights reserved.

  4. Data Acquisition in a Manoeuver Auto-negotiation System

    Directory of Open Access Journals (Sweden)

    Joanna Szlapczynska

    2015-09-01

    Full Text Available Typical approach to collision avoidance systems with artificial intelligence support is that such systems assume a central communication and management point (such as e.g. VTS station, usually located on shore. This approach is, however, not applicable in case of an open water encounter. Thus, recently a new approach towards collision avoidance has been proposed, assuming that all ships in the encounter, either restricted or open water, communicate with each other and negotiate their maneuvers, without involving any outer management or communication center. Usually the negotiation process is driven by the collision avoidance software and called auto-negotiation. This paper elaborates on data acquisition problem in case of the maneuver auto-negotiation. It focuses on ships' initialization in the system and data gathering.

  5. Error Estimation for the Linearized Auto-Localization Algorithm

    Directory of Open Access Journals (Sweden)

    Fernando Seco

    2012-02-01

    Full Text Available The Linearized Auto-Localization (LAL algorithm estimates the position of beacon nodes in Local Positioning Systems (LPSs, using only the distance measurements to a mobile node whose position is also unknown. The LAL algorithm calculates the inter-beacon distances, used for the estimation of the beacons’ positions, from the linearized trilateration equations. In this paper we propose a method to estimate the propagation of the errors of the inter-beacon distances obtained with the LAL algorithm, based on a first order Taylor approximation of the equations. Since the method depends on such approximation, a confidence parameter τ is defined to measure the reliability of the estimated error. Field evaluations showed that by applying this information to an improved weighted-based auto-localization algorithm (WLAL, the standard deviation of the inter-beacon distances can be improved by more than 30% on average with respect to the original LAL method.

  6. The effect of scintillation in valve auto-oscillators (1961)

    International Nuclear Information System (INIS)

    Blaquiere, A.

    1961-01-01

    In a previous article was analysed the possible sources of fluctuations in a valve auto-oscillator having an oscillating circuit connected to the grid. In particular the shot-noise of the valve has been introduced into the theory by including in the grid circuit an imaginary resistance R L as shown in diagram I. We propose to use this model here for studying the effect of the abnormal background noise of the valve in the low frequency domain (scintillation effect) on the normal working of the auto-oscillator. We will thus bridge the gap between the phenomenological theory of M. Buyle-Bodin, which is only valid for the slow constituents of the scintillation noise, and our previous general theory. A delicate point will thus be resolved, in a region of the spectrum having a great importance in hertzian spectrometry. (author) [fr

  7. Biometric feature extraction using local fractal auto-correlation

    International Nuclear Information System (INIS)

    Chen Xi; Zhang Jia-Shu

    2014-01-01

    Image texture feature extraction is a classical means for biometric recognition. To extract effective texture feature for matching, we utilize local fractal auto-correlation to construct an effective image texture descriptor. Three main steps are involved in the proposed scheme: (i) using two-dimensional Gabor filter to extract the texture features of biometric images; (ii) calculating the local fractal dimension of Gabor feature under different orientations and scales using fractal auto-correlation algorithm; and (iii) linking the local fractal dimension of Gabor feature under different orientations and scales into a big vector for matching. Experiments and analyses show our proposed scheme is an efficient biometric feature extraction approach. (condensed matter: structural, mechanical, and thermal properties)

  8. AutoCAD discipline layering convention. Revision 1

    Energy Technology Data Exchange (ETDEWEB)

    Nielsen, B.L.

    1995-05-17

    This document is a user`s guide to establishing layering standards for drawing development. Uniform layering standards are established to exchange of AutoCAD datasets between organizations and companies. Consistency in the layering conventions assists the user through logical separation and identification of drawing data. This allows the user to view and plot related aspects of a drawing separately or in combination. The use of color and Linetype by layer is the preferred layering convention method, however to accommodate specific needs, colors and linetypes can also be assigned on an entity basis. New drawing setup files (also identified in AutoCAD documentation as Prototype drawings) use this layering convention to establish discipline drawing layers that are routinely used. Additions, deletions or revisions to the layering conventions are encourage.

  9. Auto-configuration protocols in mobile ad hoc networks.

    Science.gov (United States)

    Villalba, Luis Javier García; Matesanz, Julián García; Orozco, Ana Lucila Sandoval; Díaz, José Duván Márquez

    2011-01-01

    The TCP/IP protocol allows the different nodes in a network to communicate by associating a different IP address to each node. In wired or wireless networks with infrastructure, we have a server or node acting as such which correctly assigns IP addresses, but in mobile ad hoc networks there is no such centralized entity capable of carrying out this function. Therefore, a protocol is needed to perform the network configuration automatically and in a dynamic way, which will use all nodes in the network (or part thereof) as if they were servers that manage IP addresses. This article reviews the major proposed auto-configuration protocols for mobile ad hoc networks, with particular emphasis on one of the most recent: D2HCP. This work also includes a comparison of auto-configuration protocols for mobile ad hoc networks by specifying the most relevant metrics, such as a guarantee of uniqueness, overhead, latency, dependency on the routing protocol and uniformity.

  10. Logistic regression for dichotomized counts.

    Science.gov (United States)

    Preisser, John S; Das, Kalyan; Benecha, Habtamu; Stamm, John W

    2016-12-01

    Sometimes there is interest in a dichotomized outcome indicating whether a count variable is positive or zero. Under this scenario, the application of ordinary logistic regression may result in efficiency loss, which is quantifiable under an assumed model for the counts. In such situations, a shared-parameter hurdle model is investigated for more efficient estimation of regression parameters relating to overall effects of covariates on the dichotomous outcome, while handling count data with many zeroes. One model part provides a logistic regression containing marginal log odds ratio effects of primary interest, while an ancillary model part describes the mean count of a Poisson or negative binomial process in terms of nuisance regression parameters. Asymptotic efficiency of the logistic model parameter estimators of the two-part models is evaluated with respect to ordinary logistic regression. Simulations are used to assess the properties of the models with respect to power and Type I error, the latter investigated under both misspecified and correctly specified models. The methods are applied to data from a randomized clinical trial of three toothpaste formulations to prevent incident dental caries in a large population of Scottish schoolchildren. © The Author(s) 2014.

  11. Fuzzy 5F Analysis of an Independent Chinese Auto Company

    OpenAIRE

    陳, 法恩; 古殿, 幸雄; チン, ホウオン; コドノ, ユキオ; Faen, Chen; Yukio, Kodono

    2014-01-01

     The Chinese market is indispensable to international automobile companies, who are thus expanding investment in the country’s automotive industry. To increase their market share in China, automobile manufacturers and independent automotive enterprises have implemented a series of management strategies. Consequently, competition in China is becoming increasingly intense. At the same time, Chinese automobile companies have no international brand recognition.  In this paper, an independent auto...

  12. Lowest auto-detachment state of the water anion

    International Nuclear Information System (INIS)

    Houfek, K.; Cizek, M.

    2016-01-01

    Because of the abundance of water in living tissue the reactive low-energy electron collisions with the water molecule represent an important step in the radiation damage of cells. In this paper, the potential energy surface of the ground state of the water anion H 2 O - is carefully mapped using multireference configuration interaction (MRCI) calculations for a large range of molecular geometries. Particular attention is paid to a consistent description of both the O - +H 2 and OH - +H asymptotes and to a relative position of the anion energy to the ground state energy of the neutral molecule. The auto-detachment region, where the anion state crosses to the electronic continuum is identified. The local minimum in the direction of the O - + H 2 channel previously reported by Werner et al. [J. Chem. Phys. 87, 2913 (1987)] is found to be slightly off the linear geometry and is separated by a saddle from the auto-detachment region. The auto-detachment region is directly accessible from the OH - +H asymptote. For the molecular geometries in the auto-detachment region and in its vicinity we also performed fixed-nuclei electron-molecule scattering calculations using the R-matrix method. Tuning of consistency of a description of the correlation energy in both the multireference CI and R-matrix calculations is discussed. Two models of the correlation energy within the R-matrix method that are consistent with the quantum chemistry calculations are found. Both models yield scattering quantities in a close agreement. The results of this work will allow a consistent formulation of the nonlocal resonance model of the water anion in a future publication

  13. [THREE CASES OF ACCIDENTAL AUTO-INJECTION OF ADRENALINE].

    Science.gov (United States)

    Yanagida, Noriyuki; Iikura, Katsuhito; Ogura, Kiyotake; Wang, Ling-jen; Asaumi, Tomoyuki; Sato, Sakura; Ebisawa, Motohiro

    2015-12-01

    Reports on accidental auto-injection of adrenaline are few. We encountered three cases of accidental injection of adrenaline. In this study, we have examined and reported the clinical courses and symptoms of our cases. CASE 1 involved a female physician in her 50s who had attended an explanatory meeting on auto-injection of adrenaline. She mistook EpiPen® to be the EpiPen trainer and accidentally injected herself with 0.3 mg EpiPen®. Her systolic/diastolic pressure peaked at 7 min to reach 144/78 mmHg and decreased to 120/77 mmHg at 14 min. Except for palpitation after 7 min, the only subjective symptom was local pain at the injection site. CASE 2 was noted in a 6-year-old boy. He accidentally pierced his right forefinger with 0.15 mg EpiPen®, and after 20 min, his right forefinger was swollen. The swelling improved 80 min after the accidental injection. CASE 3 was noted in a 4-year-old girl. She accidentally injected herself with 0.15 mg EpiPen®. Her systolic/diastolic pressure peaked at 23 min to reach 123/70 mmHg and decreased to 96/86 mmHg at 28 min. Severe adverse effects of accidental auto-injection of adrenaline were not observed in these three cases. Our findings suggest that while handling adrenaline auto-injectors, we should keep in mind the possibility of accidental injection.

  14. AutoPAVER: A software package for automated pavement evaluation

    Science.gov (United States)

    Ginsberg, Mark D.; Shahin, M. Y.; Walther, Jeanette A.

    1990-07-01

    This research developed a method that improves data collection and reduces data entry times for Pavement Condition Index (PCI) surveys for use with PAVER, a pavement maintenance management system. The method, AutoPAVER, is a microcomputer software package used to analyze pictures of pavement surfaces and to forward the resulting analysis to PAVER. The user works interactively with the system to identify and classify pavement distresses. Distress measurement and data entry are done on the computer.

  15. Auto-tuning of PID controller parameters with supervised receding horizon optimization.

    Science.gov (United States)

    Xu, Min; Li, Shaoyuan; Qi, Chenkun; Cai, Wenjian

    2005-10-01

    In this paper, a novel two-layer online auto-tuning algorithm is presented for a nonlinear time-varying system. The lower layer consists of a conventional proportional-integral-derivative (PID) controller and a plant process, while the upper layer is composed of identification and tuning modules. The purpose of the upper layer is to find a set of optimal PID parameters for the lower layer via an online receding horizon optimization approach, which result in a time-varying PID controller. Through mathematical analysis, the proposed system performance is equivalent to that of a standard generalized predictive control. Simulation and experiment demonstrate that the new method has a better control system performance compared with conventional PID controllers.

  16. AutoBioCAD: full biodesign automation of genetic circuits.

    Science.gov (United States)

    Rodrigo, Guillermo; Jaramillo, Alfonso

    2013-05-17

    Synthetic regulatory networks with prescribed functions are engineered by assembling a reduced set of functional elements. We could also assemble them computationally if the mathematical models of those functional elements were predictive enough in different genetic contexts. Only after achieving this will we have libraries of models of biological parts able to provide predictive dynamical behaviors for most circuits constructed with them. We thus need tools that can automatically explore different genetic contexts, in addition to being able to use such libraries to design novel circuits with targeted dynamics. We have implemented a new tool, AutoBioCAD, aimed at the automated design of gene regulatory circuits. AutoBioCAD loads a library of models of genetic elements and implements evolutionary design strategies to produce (i) nucleotide sequences encoding circuits with targeted dynamics that can then be tested experimentally and (ii) circuit models for testing regulation principles in natural systems, providing a new tool for synthetic biology. AutoBioCAD can be used to model and design genetic circuits with dynamic behavior, thanks to the incorporation of stochastic effects, robustness, qualitative dynamics, multiobjective optimization, or degenerate nucleotide sequences, all facilitating the link with biological part/circuit engineering.

  17. Death and Taxes: Auto Dealers Face Their Final Reckoning

    Directory of Open Access Journals (Sweden)

    Robert Hutchinson

    2013-07-01

    While a paring down of the auto retail industry, particularly the domestic dealer networks, may be necessary and even welcomed by surviving dealers and the manufacturers they represent, the impact of this sector of the economy cannot be understated. Despite its importance, it has been often overlooked, as the government and public have focused their attention on large individual corporations, such as banks and the auto manufacturers themselves. While even the largest private dealerships in the nation, and even the large publicly-traded dealers such as Auto Nation and J.D. Buyrider, are relatively small in comparison with the likes of General Motors, Chrysler, AIG, Bank of America, etc., collectively they make up the single largest portion of the retail sector of the economy at 17%, accounting for $789B in annual sales in 2008[i] and 1,114,500 jobs with an annual payroll of $54B in 2007[ii]. Moreover, many dealers represent the backbone of small business, especially in small and rural communities throughout the country, paying some $20B in annual sales taxes to state and local municipalities.[iii

  18. AutoDJ: the art of electronic music mixing

    Science.gov (United States)

    Lemma, Aweke N.

    2005-10-01

    As a result of advances in audio compression, availability of broadband Internet access at home and the popularity of electronic music distribution systems, today consumers acquire and store ever-increasing number of songs in their local databases. Moreover, consumer-devices with mass random-access storage and sophisticated rendering capabilities make the whole electronic music database available for instant playback. As opposed to traditional music playback where only a limited number of songs are manually selected, there is a strong need for intelligent play-list generation techniques that utilize the whole database while taking the user's interests into account. Moreover, it is desirable to present these songs in a seamlessly streaming manner with smooth transitions. In this paper, we propose a systematic expressive content retrieval system, called AutoDJ, that achieves both objectives. It automatically creates a play-list by sorting songs ac-cording to their low-level features and plays them in a smooth rhythmically consistent way after audio mixing. AutoDJ first builds a profile for each song using features such as tempo, beat and major. Afterwards, it uses a similarity metric to build up a play-list based on a "seed" song. Finally, it introduces smooth transition from one song (profile) to the other by equalizing the tempo and synchronizing the beat phase. We present the system design principles and the signal processing techniques used, as well as a simple AutoDJ demonstrator.

  19. AutoCAD electrical 2016 for electrical control designers

    CERN Document Server

    Tickoo, Sham

    2016-01-01

    The AutoCAD Electrical 2016 for Electrical Control Designers textbook has been written to assist the engineering students and the practicing designers who are new to AutoCAD Electrical. Using this textbook, the readers can learn the application of basic tools required for creating professional electrical control drawings with the help of AutoCAD Electrical. Keeping in view the varied requirements of the users, this textbook covers a wide range of tools and features such as schematic drawings, Circuit Builder, panel drawings, parametric and nonparametric PLC modules, stand-alone PLC I/O points, ladder diagrams, point-to-point wiring diagrams, report generation, creation of symbols, and so on. This will help the readers to create electrical drawings easily and effectively. Special emphasis has been laid on the introduction of concepts, which have been explained using text and supported with graphical examples. The examples and tutorials used in this book ensure that the users can relate the information provided...

  20. Auto-calibration approach for k-t SENSE.

    Science.gov (United States)

    Ponce, Irene P; Blaimer, Martin; Breuer, Felix A; Griswold, Mark A; Jakob, Peter M; Kellman, Peter

    2014-03-01

    The goal of this work is to increase the spatial resolution of training data, used by reconstruction methods such as k-t SENSE in order to calculate the missing data in a series of dynamic images, without compromising their temporal resolution or acquisition time. The k-t SENSE method allows dynamic imaging at high acceleration factors with high reconstruction quality. However, the low resolution training data required by k-t SENSE may cause undesired temporal filtering effects in the reconstructed images. In this work, a feedback regularization approach is applied to realize auto-calibration of the k-t SENSE algorithm. To that end, a full resolution training data set is calculated from the accelerated data itself using a TSENSE reconstruction. The reconstructed training data are then fed back for the actual k-t SENSE reconstruction. For evaluation of our approach, temporal filtering effects are quantified by calculating the modulation transfer function and noise measurements are done by Monte-Carlo simulations. Computer simulations and cardiac imaging experiments demonstrate an improved temporal fidelity of auto-calibrated k-t SENSE compared to standard k-t SENSE. Auto-calibrated k-t SENSE provides high quality reconstructions for dynamic imaging applications. Copyright © 2013 Wiley Periodicals, Inc.

  1. Graph Regularized Auto-Encoders for Image Representation.

    Science.gov (United States)

    Yiyi Liao; Yue Wang; Yong Liu

    2017-06-01

    Image representation has been intensively explored in the domain of computer vision for its significant influence on the relative tasks such as image clustering and classification. It is valuable to learn a low-dimensional representation of an image which preserves its inherent information from the original image space. At the perspective of manifold learning, this is implemented with the local invariant idea to capture the intrinsic low-dimensional manifold embedded in the high-dimensional input space. Inspired by the recent successes of deep architectures, we propose a local invariant deep nonlinear mapping algorithm, called graph regularized auto-encoder (GAE). With the graph regularization, the proposed method preserves the local connectivity from the original image space to the representation space, while the stacked auto-encoders provide explicit encoding model for fast inference and powerful expressive capacity for complex modeling. Theoretical analysis shows that the graph regularizer penalizes the weighted Frobenius norm of the Jacobian matrix of the encoder mapping, where the weight matrix captures the local property in the input space. Furthermore, the underlying effects on the hidden representation space are revealed, providing insightful explanation to the advantage of the proposed method. Finally, the experimental results on both clustering and classification tasks demonstrate the effectiveness of our GAE as well as the correctness of the proposed theoretical analysis, and it also suggests that GAE is a superior solution to the current deep representation learning techniques comparing with variant auto-encoders and existing local invariant methods.

  2. Nonparametric Mixture of Regression Models.

    Science.gov (United States)

    Huang, Mian; Li, Runze; Wang, Shaoli

    2013-07-01

    Motivated by an analysis of US house price index data, we propose nonparametric finite mixture of regression models. We study the identifiability issue of the proposed models, and develop an estimation procedure by employing kernel regression. We further systematically study the sampling properties of the proposed estimators, and establish their asymptotic normality. A modified EM algorithm is proposed to carry out the estimation procedure. We show that our algorithm preserves the ascent property of the EM algorithm in an asymptotic sense. Monte Carlo simulations are conducted to examine the finite sample performance of the proposed estimation procedure. An empirical analysis of the US house price index data is illustrated for the proposed methodology.

  3. Regression filter for signal resolution

    International Nuclear Information System (INIS)

    Matthes, W.

    1975-01-01

    The problem considered is that of resolving a measured pulse height spectrum of a material mixture, e.g. gamma ray spectrum, Raman spectrum, into a weighed sum of the spectra of the individual constituents. The model on which the analytical formulation is based is described. The problem reduces to that of a multiple linear regression. A stepwise linear regression procedure was constructed. The efficiency of this method was then tested by transforming the procedure in a computer programme which was used to unfold test spectra obtained by mixing some spectra, from a library of arbitrary chosen spectra, and adding a noise component. (U.K.)

  4. Logistic regression for circular data

    Science.gov (United States)

    Al-Daffaie, Kadhem; Khan, Shahjahan

    2017-05-01

    This paper considers the relationship between a binary response and a circular predictor. It develops the logistic regression model by employing the linear-circular regression approach. The maximum likelihood method is used to estimate the parameters. The Newton-Raphson numerical method is used to find the estimated values of the parameters. A data set from weather records of Toowoomba city is analysed by the proposed methods. Moreover, a simulation study is considered. The R software is used for all computations and simulations.

  5. Bayesian variable selection in regression

    Energy Technology Data Exchange (ETDEWEB)

    Mitchell, T.J.; Beauchamp, J.J.

    1987-01-01

    This paper is concerned with the selection of subsets of ''predictor'' variables in a linear regression model for the prediction of a ''dependent'' variable. We take a Bayesian approach and assign a probability distribution to the dependent variable through a specification of prior distributions for the unknown parameters in the regression model. The appropriate posterior probabilities are derived for each submodel and methods are proposed for evaluating the family of prior distributions. Examples are given that show the application of the Bayesian methodology. 23 refs., 3 figs.

  6. A Matlab program for stepwise regression

    Directory of Open Access Journals (Sweden)

    Yanhong Qi

    2016-03-01

    Full Text Available The stepwise linear regression is a multi-variable regression for identifying statistically significant variables in the linear regression equation. In present study, we presented the Matlab program of stepwise regression.

  7. Horses Auto-Recruit Their Lungs by Inspiratory Breath Holding Following Recovery from General Anaesthesia.

    Science.gov (United States)

    Mosing, Martina; Waldmann, Andreas D; MacFarlane, Paul; Iff, Samuel; Auer, Ulrike; Bohm, Stephan H; Bettschart-Wolfensberger, Regula; Bardell, David

    2016-01-01

    This study evaluated the breathing pattern and distribution of ventilation in horses prior to and following recovery from general anaesthesia using electrical impedance tomography (EIT). Six horses were anaesthetised for 6 hours in dorsal recumbency. Arterial blood gas and EIT measurements were performed 24 hours before (baseline) and 1, 2, 3, 4, 5 and 6 hours after horses stood following anaesthesia. At each time point 4 representative spontaneous breaths were analysed. The percentage of the total breath length during which impedance remained greater than 50% of the maximum inspiratory impedance change (breath holding), the fraction of total tidal ventilation within each of four stacked regions of interest (ROI) (distribution of ventilation) and the filling time and inflation period of seven ROI evenly distributed over the dorso-ventral height of the lungs were calculated. Mixed effects multi-linear regression and linear regression were used and significance was set at pbreath holding until 5 hours after standing. No change from baseline was seen for the distribution of ventilation during inspiration. Filling time and inflation period were more rapid and shorter in ventral and slower and longer in most dorsal ROI compared to baseline, respectively. In a mixed effects multi-linear regression, breath holding was significantly correlated with PaCO2 in both the univariate and multivariate regression. Following recovery from anaesthesia, horses showed inspiratory breath holding during which gas redistributed from ventral into dorsal regions of the lungs. This suggests auto-recruitment of lung tissue which would have been dependent and likely atelectic during anaesthesia.

  8. Horses Auto-Recruit Their Lungs by Inspiratory Breath Holding Following Recovery from General Anaesthesia.

    Directory of Open Access Journals (Sweden)

    Martina Mosing

    Full Text Available This study evaluated the breathing pattern and distribution of ventilation in horses prior to and following recovery from general anaesthesia using electrical impedance tomography (EIT. Six horses were anaesthetised for 6 hours in dorsal recumbency. Arterial blood gas and EIT measurements were performed 24 hours before (baseline and 1, 2, 3, 4, 5 and 6 hours after horses stood following anaesthesia. At each time point 4 representative spontaneous breaths were analysed. The percentage of the total breath length during which impedance remained greater than 50% of the maximum inspiratory impedance change (breath holding, the fraction of total tidal ventilation within each of four stacked regions of interest (ROI (distribution of ventilation and the filling time and inflation period of seven ROI evenly distributed over the dorso-ventral height of the lungs were calculated. Mixed effects multi-linear regression and linear regression were used and significance was set at p<0.05. All horses demonstrated inspiratory breath holding until 5 hours after standing. No change from baseline was seen for the distribution of ventilation during inspiration. Filling time and inflation period were more rapid and shorter in ventral and slower and longer in most dorsal ROI compared to baseline, respectively. In a mixed effects multi-linear regression, breath holding was significantly correlated with PaCO2 in both the univariate and multivariate regression. Following recovery from anaesthesia, horses showed inspiratory breath holding during which gas redistributed from ventral into dorsal regions of the lungs. This suggests auto-recruitment of lung tissue which would have been dependent and likely atelectic during anaesthesia.

  9. Interpolis SlimOpWeg-programma : de AutoModus-app : vragenlijstonderzoek naar het effect van een app om smartphonegebruik in de auto te verminderen.

    NARCIS (Netherlands)

    Groot-Mesken, J. de Wijnen, W. Stelling-Konczak, A. & Commandeur, J.J.F.

    2017-01-01

    Interpolis SlimOpWeg programme: the AutoModus app; Survey into the effect of an app on reducing smartphone use while driving a car. Within the programme SlimOpWeg the Dutch insurance company Interpolis had a smartphone app developed. The purpose of this ‘AutoModus app’ is to help young drivers to

  10. Satellite rainfall retrieval by logistic regression

    Science.gov (United States)

    Chiu, Long S.

    1986-01-01

    The potential use of logistic regression in rainfall estimation from satellite measurements is investigated. Satellite measurements provide covariate information in terms of radiances from different remote sensors.The logistic regression technique can effectively accommodate many covariates and test their significance in the estimation. The outcome from the logistical model is the probability that the rainrate of a satellite pixel is above a certain threshold. By varying the thresholds, a rainrate histogram can be obtained, from which the mean and the variant can be estimated. A logistical model is developed and applied to rainfall data collected during GATE, using as covariates the fractional rain area and a radiance measurement which is deduced from a microwave temperature-rainrate relation. It is demonstrated that the fractional rain area is an important covariate in the model, consistent with the use of the so-called Area Time Integral in estimating total rain volume in other studies. To calibrate the logistical model, simulated rain fields generated by rainfield models with prescribed parameters are needed. A stringent test of the logistical model is its ability to recover the prescribed parameters of simulated rain fields. A rain field simulation model which preserves the fractional rain area and lognormality of rainrates as found in GATE is developed. A stochastic regression model of branching and immigration whose solutions are lognormally distributed in some asymptotic limits has also been developed.

  11. Survival analysis II: Cox regression

    NARCIS (Netherlands)

    Stel, Vianda S.; Dekker, Friedo W.; Tripepi, Giovanni; Zoccali, Carmine; Jager, Kitty J.

    2011-01-01

    In contrast to the Kaplan-Meier method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the

  12. Regression of lumbar disk herniation

    Directory of Open Access Journals (Sweden)

    G. Yu Evzikov

    2015-01-01

    Full Text Available Compression of the spinal nerve root, giving rise to pain and sensory and motor disorders in the area of its innervation is the most vivid manifestation of herniated intervertebral disk. Different treatment modalities, including neurosurgery, for evolving these conditions are discussed. There has been recent evidence that spontaneous regression of disk herniation can regress. The paper describes a female patient with large lateralized disc extrusion that has caused compression of the nerve root S1, leading to obvious myotonic and radicular syndrome. Magnetic resonance imaging has shown that the clinical manifestations of discogenic radiculopathy, as well myotonic syndrome and morphological changes completely regressed 8 months later. The likely mechanism is inflammation-induced resorption of a large herniated disk fragment, which agrees with the data available in the literature. A decision to perform neurosurgery for which the patient had indications was made during her first consultation. After regression of discogenic radiculopathy, there was only moderate pain caused by musculoskeletal diseases (facet syndrome, piriformis syndrome that were successfully eliminated by minimally invasive techniques. 

  13. Ridge Regression for Interactive Models.

    Science.gov (United States)

    Tate, Richard L.

    1988-01-01

    An exploratory study of the value of ridge regression for interactive models is reported. Assuming that the linear terms in a simple interactive model are centered to eliminate non-essential multicollinearity, a variety of common models, representing both ordinal and disordinal interactions, are shown to have "orientations" that are…

  14. Regression Models for Repairable Systems

    Czech Academy of Sciences Publication Activity Database

    Novák, Petr

    2015-01-01

    Roč. 17, č. 4 (2015), s. 963-972 ISSN 1387-5841 Institutional support: RVO:67985556 Keywords : Reliability analysis * Repair models * Regression Subject RIV: BB - Applied Statistics , Operational Research Impact factor: 0.782, year: 2015 http://library.utia.cas.cz/separaty/2015/SI/novak-0450902.pdf

  15. Cactus: An Introduction to Regression

    Science.gov (United States)

    Hyde, Hartley

    2008-01-01

    When the author first used "VisiCalc," the author thought it a very useful tool when he had the formulas. But how could he design a spreadsheet if there was no known formula for the quantities he was trying to predict? A few months later, the author relates he learned to use multiple linear regression software and suddenly it all clicked into…

  16. Auto-avaliação da saúde e fatores associados, Brasil, 2006 Auto-evaluación de la salud y factores asociados, Brasil, 2006 Self-rated health and associated factors, Brazil, 2006

    Directory of Open Access Journals (Sweden)

    Marilisa Berti de Azevedo Barros

    2009-11-01

    Full Text Available OBJETIVO: Avaliar a prevalência de saúde auto-avaliada como ruim e fatores associados. MÉTODOS: Foram analisados dados de 54.213 pessoas com idade >18 anos, coletados pelo sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (VIGITEL nas capitais brasileiras e Distrito Federal, em 2006. Um residente em cada domicílio, com ao menos uma linha de telefonia fixa, foi sorteado em amostras probabilísticas, respondendo ao questionário. As variáveis independentes analisadas foram de natureza demográfica, comportamental e de morbidade referida. Foram estimadas prevalências e razões de prevalência brutas e ajustadas da saúde auto-avaliada como ruim utilizando regressão de Poisson. RESULTADOS: Saúde auto-avaliada como ruim foi mais freqüente em mulheres, em indivíduos mais idosos, de menor escolaridade, sem atividade ocupacional, e residentes em capitais do Norte e do Nordeste; entre homens, a prevalência de auto-avaliação da saúde ruim foi mais elevada na região Sudeste comparativamente à Sul. Fumar > 20 cigarros/dia, não praticar atividade física no lazer regularmente e apresentar baixo peso ou obesidade associaram-se a auto-avaliação de saúde como sendo ruim em ambos os sexos; pré-obesidade e consumo freqüente de frutas e hortaliças foram significantes entre mulheres e, não assistir televisão, entre os homens. A prevalência de saúde como sendo ruim cresceu com o aumento do número de morbidades referidas. Apresentar quatro ou cinco morbidades resultou em RP=11,4 entre homens e RP=6,9 entre mulheres, em comparação àqueles que não apresentavam morbidades. CONCLUSÕES: Desigualdades regionais, de sexo e escolaridade foram observadas na prevalência da saúde auto-avaliada como ruim, e sua associação com comportamentos nocivos à saúde e comorbidades reforçam a necessidade de estratégias de promoção de hábitos saudáveis e de controle de doenças cr

  17. A New Scoring Function for Molecular Docking Based on AutoDock and AutoDock Vina.

    Science.gov (United States)

    Tanchuk, Vsevolod Yu; Tanin, Volodymyr O; Vovk, Andriy I; Poda, Gennady

    2015-01-01

    Molecular docking of small molecules in the protein binding sites is the most widely used computational technique in modern structure-based drug discovery. Although accurate prediction of binding modes of small molecules can be achieved in most cases, estimation of their binding affinities remains mediocre at best. As an attempt to improve the correlation between the inhibitory constants, pKi, and scoring, we created a new, hybrid scoring function. The new function is a linear combination of the terms of the scoring functions of AutoDock and AutoDock Vina. It was trained on 2,412 protein-ligand complexes from the PDBbind database (www.pdbbind.org.cn, version 2012) and validated on a set of 313 complexes released in the 2013 version as a test set. The new function was included in a modified version of AutoDock. The hybrid scoring function showed a statistically significant improvement in both training and test sets in terms of correlation with and root mean square and mean absolute errors in prediction of pKi values. It was also tested on the CSAR 2014 Benchmark Exercise dataset (team T) and produced reasonably good results.

  18. A case study from Turkey: Turkish auto-gas market towards sustainability

    International Nuclear Information System (INIS)

    Mme Kaya

    2008-01-01

    Turkish auto-gas market grew uncontrollably trough its initial years, leading to auto-gas product, retrofit cars, auto-gas filing stations and conversion shops in compliance with standards. Moreover, standards were not even adequate for a healthy market. Auto-gas accidents occurred due to mis-applications. Consequently, real benefits of auto-gas could not come into the picture, and general public as well as auto-gas customers came to perceive auto-gas as an inferior, unsafe and low-performance fuel. Today's market is really different than the markets in its initial years and it has covered a long way towards sustainability. To exemplify, the standards and inspections are well established and more strict than before. The image of auto-gas has improved considerably and now customers know that auto-gas is not only economic but also environment-friendly safe and good performance. The critical factor, bringing the market into sustainability and healthiness, are the developments in 4 crucial areas, namely, the government, LPG distribution companies, OEMs and auto-gas conversion firms and lastly, customers. Another important key success factor is cooperation between these 4 forces. The presentation will mainly focus on developments in these areas. (author)

  19. Consistent Inference for Predictive Regressions in Persistent VAR Economies

    DEFF Research Database (Denmark)

    Andersen, Torben Gustav; Varneskov, Rasmus T.

    This paper studies the properties of standard predictive regressions in model economies, characterized through persistent vector autoregressive dynamics for the state variables and the associated series of interest. In particular, we consider a setting where all, or a subset, of the variables may...... be fractionally integrated, and note that this induces a spurious regression problem. We then propose a new inference and testing procedure - the local spectrum (LCM) approach - for the joint significance of the regressors, which is robust against the variables having different integration orders. The LCM...... the implications of assuming VAR dynamics in predictive regressions for the realized return variation. Standard least squares predictive regressions indicate that popular financial and macroeconomic variables carry valuable information about return volatility. In contrast, we find no significant evidence using our...

  20. Quantile Regression With Measurement Error

    KAUST Repository

    Wei, Ying

    2009-08-27

    Regression quantiles can be substantially biased when the covariates are measured with error. In this paper we propose a new method that produces consistent linear quantile estimation in the presence of covariate measurement error. The method corrects the measurement error induced bias by constructing joint estimating equations that simultaneously hold for all the quantile levels. An iterative EM-type estimation algorithm to obtain the solutions to such joint estimation equations is provided. The finite sample performance of the proposed method is investigated in a simulation study, and compared to the standard regression calibration approach. Finally, we apply our methodology to part of the National Collaborative Perinatal Project growth data, a longitudinal study with an unusual measurement error structure. © 2009 American Statistical Association.

  1. Active set support vector regression.

    Science.gov (United States)

    Musicant, David R; Feinberg, Alexander

    2004-03-01

    This paper presents active set support vector regression (ASVR), a new active set strategy to solve a straightforward reformulation of the standard support vector regression problem. This new algorithm is based on the successful ASVM algorithm for classification problems, and consists of solving a finite number of linear equations with a typically large dimensionality equal to the number of points to be approximated. However, by making use of the Sherman-Morrison-Woodbury formula, a much smaller matrix of the order of the original input space is inverted at each step. The algorithm requires no specialized quadratic or linear programming code, but merely a linear equation solver which is publicly available. ASVR is extremely fast, produces comparable generalization error to other popular algorithms, and is available on the web for download.

  2. Producing The New Regressive Left

    DEFF Research Database (Denmark)

    Crone, Christine

    This thesis is the first comprehensive research work conducted on the Beirut based TV station, an important representative of the post-2011 generation of Arab satellite news media. The launch of al-Mayadeen in June 2012 was closely linked to the political developments across the Arab world...... members, this thesis investigates a growing political trend and ideological discourse in the Arab world that I have called The New Regressive Left. On the premise that a media outlet can function as a forum for ideology production, the thesis argues that an analysis of this material can help to trace...... the contexture of The New Regressive Left. If the first part of the thesis lays out the theoretical approach and draws the contextual framework, through an exploration of the surrounding Arab media-and ideoscapes, the second part is an analytical investigation of the discourse that permeates the programmes aired...

  3. AUTISTIC EPILEPTIFORM REGRESSION (A REVIEW

    Directory of Open Access Journals (Sweden)

    L. Yu. Glukhova

    2012-01-01

    Full Text Available The author represents the review of current scientific literature devoted to autistic epileptiform regression — the special form of autistic disorder, characterized by development of severe communicative disorders in children as a result of continuous prolonged epileptiform activity on EEG. This condition has been described by R.F. Tuchman and I. Rapin in 1997. The author describes the aspects of pathogenesis, clinical pictures and diagnostics of this disorder, including the peculiar anomalies on EEG (benign epileptiform patterns of childhood, with a high index of epileptiform activity, especially in the sleep. The especial attention is given to approaches to the treatment of autistic epileptiform regression. Efficacy of valproates, corticosteroid hormones and antiepileptic drugs of other groups is considered.

  4. Polynomial Regressions and Nonsense Inference

    Directory of Open Access Journals (Sweden)

    Daniel Ventosa-Santaulària

    2013-11-01

    Full Text Available Polynomial specifications are widely used, not only in applied economics, but also in epidemiology, physics, political analysis and psychology, just to mention a few examples. In many cases, the data employed to estimate such specifications are time series that may exhibit stochastic nonstationary behavior. We extend Phillips’ results (Phillips, P. Understanding spurious regressions in econometrics. J. Econom. 1986, 33, 311–340. by proving that an inference drawn from polynomial specifications, under stochastic nonstationarity, is misleading unless the variables cointegrate. We use a generalized polynomial specification as a vehicle to study its asymptotic and finite-sample properties. Our results, therefore, lead to a call to be cautious whenever practitioners estimate polynomial regressions.

  5. Spontaneous regression of colon cancer.

    Science.gov (United States)

    Kihara, Kyoichi; Fujita, Shin; Ohshiro, Taihei; Yamamoto, Seiichiro; Sekine, Shigeki

    2015-01-01

    A case of spontaneous regression of transverse colon cancer is reported. A 64-year-old man was diagnosed as having cancer of the transverse colon at a local hospital. Initial and second colonoscopy examinations revealed a typical cancer of the transverse colon, which was diagnosed as moderately differentiated adenocarcinoma. The patient underwent right hemicolectomy 6 weeks after the initial colonoscopy. The resected specimen showed only a scar at the tumor site, and no cancerous tissue was proven histologically. The patient is alive with no evidence of recurrence 1 year after surgery. Although an antitumor immune response is the most likely explanation, the exact nature of the phenomenon was unclear. We describe this rare case and review the literature pertaining to spontaneous regression of colorectal cancer. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  6. Directional quantile regression in R

    Czech Academy of Sciences Publication Activity Database

    Boček, Pavel; Šiman, Miroslav

    2017-01-01

    Roč. 53, č. 3 (2017), s. 480-492 ISSN 0023-5954 R&D Projects: GA ČR GA14-07234S Institutional support: RVO:67985556 Keywords : multivariate quantile * regression quantile * halfspace depth * depth contour Subject RIV: BD - Theory of Information OBOR OECD: Applied mathematics Impact factor: 0.379, year: 2016 http://library.utia.cas.cz/separaty/2017/SI/bocek-0476587.pdf

  7. AutoTutor: a human tutoring simulation with an animated pedagogical interface

    Science.gov (United States)

    Craig, Scotty D.; Hu, Xiangen; Gholson, Barry; Marks, William; Graesser, Arthur C.

    2000-11-01

    This paper presents an overview AutoTutor, an intelligent tutoring system that engages in conversationally smooth dialogue with students. AutoTutor simulates the discourse patterns and dialogue moves of human tutors with modest tutoring expertise. In order to concretize the situation we begin with two short snapshots of AutoTutor in action. In one snapshot, involving an articulate and knowledgeable student, AutoTutor begins with a how question and then simply pumps for further information. In the other, with an inarticulate and less knowledgeable student AutoTutor begins with a why question and follows this with numerous hints and prompts until the topic is covered. The remainder of the paper describes the system's architecture, which is comprised of seven modules: a curriculum script, language extraction, speech act classification, latent semantic analysis, topic selection, dialogue move generation, and animated agent. AutoTutor responds to the learner in real time and runs of a single Pentium processor.

  8. Gaussian Process Regression Model in Spatial Logistic Regression

    Science.gov (United States)

    Sofro, A.; Oktaviarina, A.

    2018-01-01

    Spatial analysis has developed very quickly in the last decade. One of the favorite approaches is based on the neighbourhood of the region. Unfortunately, there are some limitations such as difficulty in prediction. Therefore, we offer Gaussian process regression (GPR) to accommodate the issue. In this paper, we will focus on spatial modeling with GPR for binomial data with logit link function. The performance of the model will be investigated. We will discuss the inference of how to estimate the parameters and hyper-parameters and to predict as well. Furthermore, simulation studies will be explained in the last section.

  9. Auto-interpreter for CYP2D6 SNaPshot genotyping.

    Science.gov (United States)

    Ong, Sungmoon; Jeong, Hye-Eun; Lee, Sang Seop; Shon, Ji-Hong; Shin, Jae-Gook; Kim, Eun-Young

    2008-11-06

    CYP2D6 genotyping using SNaPshot method is a very useful tool clinically. However it's hard to interpret the obtained data as a genotype without training. Thus SNaPshot auto-interpreter for the genotype was designed to interpret obtained raw data to a genotype. The auto-interpreter showed good concordance with experts' reading. The validated auto-interpreter of CYP2D6 genotyping using SNaPshot can contribute to accelerating the clinical use.

  10. Design of Auto Exposure Unit Based On 2-Way Histogram Equalization

    OpenAIRE

    Junghwan Choi; Seongsoo Lee

    2013-01-01

    Histogram equalization is often used in image enhancement, but it can be also used in auto exposure. However, conventional histogram equalization does not work well when many pixels are concentrated in a narrow luminance range.This paper proposes an auto exposure method based on 2-way histogram equalization. Two cumulative distribution functions are used, where one is from dark to bright and the other is from bright to dark. In this paper, the proposed auto exposure method is also designed an...

  11. Productivity enhancement and reliability through AutoAnalysis

    Science.gov (United States)

    Garetto, Anthony; Rademacher, Thomas; Schulz, Kristian

    2015-09-01

    The decreasing size and increasing complexity of photomask features, driven by the push to ever smaller technology nodes, places more and more challenges on the mask house, particularly in terms of yield management and cost reduction. Particularly challenging for mask shops is the inspection, repair and review cycle which requires more time and skill from operators due to the higher number of masks required per technology node and larger nuisance defect counts. While the measurement throughput of the AIMS™ platform has been improved in order to keep pace with these trends, the analysis of aerial images has seen little advancement and remains largely a manual process. This manual analysis of aerial images is time consuming, dependent on the skill level of the operator and significantly contributes to the overall mask manufacturing process flow. AutoAnalysis, the first application available for the FAVOR® platform, offers a solution to these problems by providing fully automated analysis of AIMS™ aerial images. Direct communication with the AIMS™ system allows automated data transfer and analysis parallel to the measurements. User defined report templates allow the relevant data to be output in a manner that can be tailored to various internal needs and support the requests of your customers. Productivity is significantly improved due to the fast analysis, operator time is saved and made available for other tasks and reliability is no longer a concern as the most defective region is always and consistently captured. In this paper the concept and approach of AutoAnalysis will be presented as well as an update to the status of the project. The benefits arising from the use of AutoAnalysis will be discussed in more detail and a study will be performed in order to demonstrate.

  12. Séminaire de l'enseignement technique : Forum AutoCAD 2006 et AutoCAD Mechanical 2006 - French version only

    CERN Multimedia

    Davide Vitè

    2005-01-01

    Jeudi 17 novembre 2005 de 14:30 à 16:30 - Training Centre Auditorium Forum AutoCAD 2006 et AutoCAD Mechanical 2006 CADSCHOOL, CH-1207 GENEVE, Suisse Ce nouveau séminaire de l'Enseignement technique, organisé en forme de forum et en collabora- tion avec TS-MME et notre entreprise partenaire en formation, sera consacré à la présentation de la nouvelle version d'AutoCAD, AutoCAD 2006 et AutoCAD Mechanical 2006, disponible au CERN. Au programme : Présentation d'AutoCAD Mechanical 2006 Améliorations par rapport à AutoCAD Mechanical 6 Power Pack Questions - Réponses Langue: Français. Séminaire libre, sans inscription. Organisateurs: Manfred Mayer / TS-MME / 74499 ; Davide Vitè / HR-PMD / 75141 Pour plus d'information, veuillez SVP visiter les pages des Séminaires de l'Enseignement Technique à l'adresse http://www.cern.ch/TechnicalTraining/special/TTseminars.asp . ENSEIGNEMENT TECHNIQUE TECHNICAL TRAINING technical.training@cern.ch

  13. Séminaire de l'enseignement technique : Forum AutoCAD 2006 et AutoCAD Mechanical 2006

    - French version only

    CERN Multimedia

    Davide Vitè

    2005-01-01

    Jeudi 17 novembre 2005 de 14:30 à 16:30 - Training Centre Auditorium, Bât 593 Forum AutoCAD 2006 et AutoCAD Mechanical 2006 CADSCHOOL, CH-1207 GENEVE, Suisse Ce nouveau séminaire de l'Enseignement technique, organisé en forme de forum et en collaboration avec TS-MME et notre entreprise partenaire en formation, sera consacré à la présentation de la nouvelle version d'AutoCAD, AutoCAD 2006 et AutoCAD Mechanical 2006, disponible au CERN. Au programme : Présentation d'AutoCAD Mechanical 2006 Améliorations par rapport à AutoCAD Mechanical 6 Power Pack Questions - Réponses Langue: Français. Séminaire libre, sans inscription. Organisateurs: Manfred Mayer / TS-MME / 74499 ; Davide Vitè / HR-PMD / 75141 Pour plus d'information, veuillez SVP visiter les pages des Séminaires de l'Enseignement Technique à l'adresse http://www.cern.ch/TechnicalTraining/special/TTseminars.asp . ENSEIGNEMENT TECHNIQUE TECHNICAL TRAINING technical.training@cern.ch

  14. Engineering drawing from first principles using AutoCAD

    CERN Document Server

    Maguire, Dennis E

    1998-01-01

    Engineering Drawing From First Principles is a guide to good draughting for students of engineering who need to learn how to produce technically accurate and detailed designs to British and International Standards. Written by Dennis Maguire, an experienced author and City and Guilds chief examiner, this text is designed for use on Further Education and University courses where a basic understanding of draughtsmanship and CAD is necessary. Although not written as an AutoCAD tutor, the book will be a useful introduction to good CAD practice.Part of the Revision and Self-Assessmen

  15. Auto generation plant of Artigas landfill (Bilbao, Spain)

    International Nuclear Information System (INIS)

    Carreras, N.; Dorronsoro, J.L.

    1996-01-01

    The disposition of MSW in the landfill generates a mixture of gases or b iogas , its primary content is methane (50-60%) which has a very important energetic value, that can be very useful. In this sense, the present work point out the characteristics of the auto generation electrical plant of Artigas landfill, just like the results of the analytical study of the past two years. In this project which was partly funded by the UE, have participated Excmo. Ayuntamiento de Bilbao, EVE and CIEMAT. (Author) 6 refs

  16. Bonding auto-polymerising acrylic resin to acrylic denture teeth.

    LENUS (Irish Health Repository)

    Nagle, Susan

    2009-09-01

    This study investigated the effect of surface treatments on the shear bond strength of an auto-polymerising acrylic resin cured to acrylic denture teeth. The surface treatments included a combination of grit-blasting and\\/or wetting the surface with monomer. Samples were prepared and then stored in water prior to shear testing. The results indicated that the application of monomer to the surface prior to bonding did not influence the bond strength. Grit blasting was found to significantly increase the bond strength.

  17. An African (auto)biography: Ama Ata Aidoo's literary quest

    OpenAIRE

    Pujolràs i Noguer, Esther

    2011-01-01

    An African (Auto)biography: Ama Ata Aidoo's Literary Quest és un estudi exhaustiu del que considero que configura la primera fase de l'obra d'Ama Ata Aidoo, escriptora ghanesa. El text que marca la primera fase del desenvolupament i consolidació de la veu d'Aidoo és Our Sister Killjoy or Reflections from a Black-eyed Squint, un text inclassificable genèricament i una presència indiscutible en la literatura africana anglòfona. La tasca d'escriure que envolta a escriptors/es es defineix per un...

  18. AutoMap User’s Guide 2009

    Science.gov (United States)

    2009-06-01

    Inflectional morphology describes predictable changes a word undergoes as a result of syntax (the plural and possessive form for nouns, and the past tense...after pluralizations). Derivational morphology may or may not affect a word’s meaning (e.g.; ’-ise’, ’-ship’). Although English is a relatively...COVERED 00-00-2009 to 00-00-2009 4. TITLE AND SUBTITLE AutoMap User’s Guide 2009 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER

  19. Visual Auto-landing of an Autonomous Aircraft

    OpenAIRE

    Rives, Patrick; Azinheira, José Raul

    2002-01-01

    This report is the summary of work done in the CIMAR project of collaboration between IST (Lisboa) and the Icare Project (INRIA Sophia Antipolis) for vision-based control applied to an autonomous aircraft. An unified modeling framework is defined and the vision-based auto-landing of the UAV model is analyzed, based on the classical alternative between position-based and image-based visual control. The controller design is adapted for both approaches and simulations results are presented in or...

  20. Ranking green electronic supplier in auto industry using fuzzy Delphi

    Directory of Open Access Journals (Sweden)

    Soheil Sarmad Saeidi

    2014-11-01

    Full Text Available This paper presents a study to rank different green supplier involved in supplement of electronic parts in auto industry using fuzzy Delphi. The proposed study uses the fuzzy analytic hierarchy process for weighing criteria and VIKOR method to rank the suppliers. The results show that measures of corporate social responsibility, environmental management system, green procurement and green production are the most important criteria for green supplier selection. In addition, product quality, online tracking of orders, delivery time and quality of online information are the most important criteria for choosing a green electronic supplier.

  1. AutoCAD Civil 3D 2014 essentials

    CERN Document Server

    Chappell, Eric

    2013-01-01

    Quickly learn essential Civil 3D tools and techniques Get a thorough introduction to AutoCAD Civil 3D, the industry-leading engineering software used to design roads, highways, subdivisions, drainage and sewer systems, and more. This Autodesk Official Press book is a unique learning resource that features concise, straightforward explanations and real-world, hands-on exercises and tutorials. With compelling full-color screenshots and approachable exercises that demonstrate core features and functions, the book helps you gain understanding and confidence as you master this premiere

  2. Globalisation, Crisis and Industrial Relations in the Indian Auto Industry

    DEFF Research Database (Denmark)

    D'Costa, Anthony

    2011-01-01

    of the global industry is reeling under the financial crisis, India's industry has been expanding. However, the power of workers has been declining in conflict-ridden states just as globalisation and deregulation have hastened capital flight to more pro-business regions. The paper draws some policy implications...... in the broader capital-labour relation in the wider global economy due to globalisation is argued to be tempered by India's particular national and local institutions governing industrial relations, unionisation, the specific trajectory of the Indian auto industry, and economic development strategies. When much...

  3. Independent auto evaluation of an operative radiological protection program

    International Nuclear Information System (INIS)

    Medrano L, M.A.; Rodriguez C, C.C.; Linares R, D.; Zarate M, N.; Zempoalteca B, R.

    2006-01-01

    The program of operative radiological protection of a nuclear power plant consists of multiple procedures and associate tasks that have as purpose the radiological protection of the workers of the power station. It is for this reason that the constant evaluation of the one it programs it is an important tool in the identification of their weaknesses (and strengths), so they can be assisted appropriately. In this work the main elements of the program of independent auto evaluation of the program of operative radiological protection of the Laguna Verde Central that has been developed and implemented by the National Institute of Nuclear Research are described. (Author)

  4. Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions.

    Science.gov (United States)

    Jia, Chengcheng; Shao, Ming; Li, Sheng; Zhao, Handong; Fu, Yun

    2018-04-01

    Spatially or temporally corrupted action videos are impractical for recognition via vision or learning models. It usually happens when streaming data are captured from unintended moving cameras, which bring occlusion or camera vibration and accordingly result in arbitrary loss of spatiotemporal information. In reality, it is intractable to deal with both spatial and temporal corruptions at the same time. In this paper, we propose a coupled stacked denoising tensor auto-encoder (CSDTAE) model, which approaches this corruption problem in a divide-and-conquer fashion by jointing both the spatial and temporal schemes together. In particular, each scheme is a SDTAE designed to handle either spatial or temporal corruption, respectively. SDTAE is composed of several blocks, each of which is a denoising tensor auto-encoder (DTAE). Therefore, CSDTAE is designed based on several DTAE building blocks to solve the spatiotemporal corruption problem simultaneously. In one DTAE, the video features are represented as a high-order tensor to preserve the spatiotemporal structure of data, where the temporal and spatial information are processed separately in different hidden layers via tensor unfolding. In summary, DTAE explores the spatial and temporal structure of the tensor representation, and SDTAE handles different corrupted ratios progressively to extract more discriminative features. CSDTAE couples the temporal and spatial corruptions of the same data through a thorough step-by-step procedure based on canonical correlation analysis, which integrates the two sub-problems into one problem. The key point is solving the spatiotemporal corruption in one model by considering them as noises in either spatial or temporal direction. Extensive experiments on three action data sets demonstrate the effectiveness of our model, especially when large volumes of corruption in the video.

  5. A new approach to build VPLS with auto-discovery mechanism

    Science.gov (United States)

    Dong, Ximing; Yu, Shaohua

    2005-11-01

    VPLS is the key technology implemented to provide Layer 2 bridge-like services, connecting dispersed locations to work in a switched LAN over an MPLS backbone. However, implementing VPLS requires creating a complex matrix of services and locations that quickly becomes difficult to configure and maintain. To address this complexity, this paper proposes a new approach to automate the configuration and maintenance of VPLS networks, a node-discovery process in which each router advertises its VPLS-enabled status and capabilities to all other routers. Our approach can be summarized into four steps. (1) Discover other VPLS PE nodes with VPLS capabilities and create the VPLS capable PE routers list. We introduce a finite state machine which includes four states to illustrate the process how a VPLS peer can be discovered and the peer relations be kept alive. (2) Build MPLS LSP tunnels to all the PE routers in the list, according to the advertised VPLS protocol capabilities. (3) Use the lists to create targeted-LDP sessions for VPLS services discovery. (4) VC label assignment. The PE edge routers exchanges messages to define VC labels and bind them with each built PWE. The suggested auto-discovery mechanism is sensitive to any service provider's topology change and customer's service modification. The dynamic process for the FIB building, MAC address learning and withdrawal, is also covered as the result of VPLS auto-discovery. The suggested mechanism can be implemented as a software module and could be seamlessly integrated with currently deployed Metro Ethernet routing and switching platform.

  6. Up and running with AutoCAD 2014 2D and 3D drawing and modeling

    CERN Document Server

    Gindis, Elliot

    2013-01-01

    Get ""Up and Running"" with AutoCAD using Gindis's combination of step-by-step instruction, examples, and insightful explanations. The emphasis from the beginning is on core concepts and practical application of AutoCAD in architecture, engineering and design. Equally useful in instructor-led classroom training, self-study, or as a professional reference, the book is written with the user in mind by a long-time AutoCAD professional and instructor based on what works in the industry and the classroom. Strips away complexities, both real and perceived, and reduces AutoCAD t

  7. Adaptive endpoint detection of seismic signal based on auto-correlated function

    International Nuclear Information System (INIS)

    Fan Wanchun; Shi Ren

    2001-01-01

    Based on the analysis of auto-correlation function, the notion of the distance between auto-correlation function was quoted, and the characterization of the noise and the signal with noise were discussed by using the distance. Then, the method of auto- adaptable endpoint detection of seismic signal based on auto-correlated similarity was summed up. The steps of implementation and determining of the thresholds were presented in detail. The experimental results that were compared with the methods based on artificial detecting show that this method has higher sensitivity even in a low signal with noise ratio circumstance

  8. FBH1 Catalyzes Regression of Stalled Replication Forks

    DEFF Research Database (Denmark)

    Fugger, Kasper; Mistrik, Martin; Neelsen, Kai J

    2015-01-01

    DNA replication fork perturbation is a major challenge to the maintenance of genome integrity. It has been suggested that processing of stalled forks might involve fork regression, in which the fork reverses and the two nascent DNA strands anneal. Here, we show that FBH1 catalyzes regression......, is required for early phosphorylation of ATM substrates such as CHK2 and CtIP as well as hyperphosphorylation of RPA. These phosphorylations occur prior to apparent DNA double-strand break formation. Furthermore, FBH1-dependent signaling promotes checkpoint control and preserves genome integrity. We propose...

  9. On Weighted Support Vector Regression

    DEFF Research Database (Denmark)

    Han, Xixuan; Clemmensen, Line Katrine Harder

    2014-01-01

    We propose a new type of weighted support vector regression (SVR), motivated by modeling local dependencies in time and space in prediction of house prices. The classic weights of the weighted SVR are added to the slack variables in the objective function (OF‐weights). This procedure directly...... the differences and similarities of the two types of weights by demonstrating the connection between the Least Absolute Shrinkage and Selection Operator (LASSO) and the SVR. We show that an SVR problem can be transformed to a LASSO problem plus a linear constraint and a box constraint. We demonstrate...

  10. Ridge regression for longitudinal biomarker data.

    Science.gov (United States)

    Eliot, Melissa; Ferguson, Jane; Reilly, Muredach P; Foulkes, Andrea S

    2011-01-01

    Technological advances facilitating the acquisition of large arrays of biomarker data have led to new opportunities to understand and characterize disease progression over time. This creates an analytical challenge, however, due to the large numbers of potentially informative markers, the high degrees of correlation among them, and the time-dependent trajectories of association. We propose a mixed ridge estimator, which integrates ridge regression into the mixed effects modeling framework in order to account for both the correlation induced by repeatedly measuring an outcome on each individual over time, as well as the potentially high degree of correlation among possible predictor variables. An expectation-maximization algorithm is described to account for unknown variance and covariance parameters. Model performance is demonstrated through a simulation study and an application of the mixed ridge approach to data arising from a study of cardiometabolic biomarker responses to evoked inflammation induced by experimental low-dose endotoxemia.

  11. Variable Selection in ROC Regression

    Directory of Open Access Journals (Sweden)

    Binhuan Wang

    2013-01-01

    Full Text Available Regression models are introduced into the receiver operating characteristic (ROC analysis to accommodate effects of covariates, such as genes. If many covariates are available, the variable selection issue arises. The traditional induced methodology separately models outcomes of diseased and nondiseased groups; thus, separate application of variable selections to two models will bring barriers in interpretation, due to differences in selected models. Furthermore, in the ROC regression, the accuracy of area under the curve (AUC should be the focus instead of aiming at the consistency of model selection or the good prediction performance. In this paper, we obtain one single objective function with the group SCAD to select grouped variables, which adapts to popular criteria of model selection, and propose a two-stage framework to apply the focused information criterion (FIC. Some asymptotic properties of the proposed methods are derived. Simulation studies show that the grouped variable selection is superior to separate model selections. Furthermore, the FIC improves the accuracy of the estimated AUC compared with other criteria.

  12. Auto-Configuration Protocols in Mobile Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    Julián García Matesanz

    2011-03-01

    Full Text Available The TCP/IP protocol allows the different nodes in a network to communicate by associating a different IP address to each node. In wired or wireless networks with infrastructure, we have a server or node acting as such which correctly assigns IP addresses, but in mobile ad hoc networks there is no such centralized entity capable of carrying out this function. Therefore, a protocol is needed to perform the network configuration automatically and in a dynamic way, which will use all nodes in the network (or part thereof as if they were servers that manage IP addresses. This article reviews the major proposed auto-configuration protocols for mobile ad hoc networks, with particular emphasis on one of the most recent: D2HCP. This work also includes a comparison of auto-configuration protocols for mobile ad hoc networks by specifying the most relevant metrics, such as a guarantee of uniqueness, overhead, latency, dependency on the routing protocol and uniformity.

  13. Auto Detection For High Level Water Content For Oil Well

    Science.gov (United States)

    Janier, Josefina Barnachea; Jumaludin, Zainul Arifin B.

    2010-06-01

    Auto detection of high level water content for oil well is a system that measures the percentage of water in crude oil. This paper aims to discuss an auto detection system for measuring the content of water level in crude oil which is applicable for offshore and onshore oil operations. Data regarding water level content from wells can be determined by using automation thus, well with high water level can be determined immediately whether to be closed or not from operations. Theoretically the system measures the percentage of two- fluid mixture where the fluids have different electrical conductivities which are water and crude oil. The system made use of grid sensor which is a grid pattern like of horizontal and vertical wires. When water occupies the space at the intersection of vertical and horizontal wires, an electrical signal is detected which proved that water completed the circuit path in the system. The electrical signals are counted whereas the percentage of water is determined from the total electrical signals detected over electrical signals provided. Simulation of the system using the MultiSIM showed that the system provided the desired result.

  14. Fuel magnetization without external field coils (AutoMag)

    Science.gov (United States)

    Slutz, Stephen; Jennings, Christopher; Awe, Thomas; Shipley, Gabe; Lamppa, Derek; McBride, Ryan

    2016-10-01

    Magnetized Liner Inertial Fusion (MagLIF) has produced fusion-relevant plasma conditions on the Z accelerator where the fuel was magnetized using external field coils. We present a novel concept that does not need external field coils. This concept (AutoMag) magnetizes the fuel during the early part of the drive current by using a composite liner with helical conduction paths separated by insulating material. The drive is designed so the current rises slowly enough to avoid electrical breakdown of the insulators until a sufficiently strong magnetic field is established. Then the current rises more quickly, which causes the insulators to break down allowing the drive current to follow an axial path and implode the liner. Low inductance magnetically insulated power feeds can be used with AutoMag to increase the drive current without interfering with diagnostic access. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

  15. BCG and protection against inflammatory and auto-immune diseases.

    Science.gov (United States)

    Kowalewicz-Kulbat, Magdalena; Locht, Camille

    2017-07-01

    Bacillus Calmette-Guérin (BCG) is the only available vaccine against tuberculosis. Although its protective efficacy against pulmonary tuberculosis is still under debate, it provides protection against other mycobacterial diseases. BCG is also an effective therapy against superficial bladder cancer and potentially decreases overall childhood mortality. Areas covered: The purpose of this paper is to provide a state-of-the-art summary of the beneficial effects of BCG in inflammatory and auto-immune diseases. As a strong inducer of Th1 type immunity, BCG has been reported to protect against atopic conditions, such as allergic asthma, a Th2-driven disorder. Its protective effect has been well documented in mice, but still awaits definitive evidence in humans. Similarly, murine studies have shown a protective effect of BCG against auto-immune diseases, such as multiple sclerosis and insulin-dependent diabetes, but studies in humans have come to conflicting conclusions. Expert commentary: Studies in mice have shown a beneficial effect of the BCG vaccine against allergic asthma, multiple sclerosis and diabetes. However, the understanding of its mechanism is still fragmentary and requires further in depth research. Some observational or intervention studies in humans have also suggested a beneficial effect, but definitive evidence for this requires confirmation in carefully conducted prospective studies.

  16. PERI - Auto-tuning Memory Intensive Kernels for Multicore

    Energy Technology Data Exchange (ETDEWEB)

    Bailey, David H; Williams, Samuel; Datta, Kaushik; Carter, Jonathan; Oliker, Leonid; Shalf, John; Yelick, Katherine; Bailey, David H

    2008-06-24

    We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of search-based performance optimizations, popular in linear algebra and FFT libraries, to application-specific computational kernels. Our work applies this strategy to Sparse Matrix Vector Multiplication (SpMV), the explicit heat equation PDE on a regular grid (Stencil), and a lattice Boltzmann application (LBMHD). We explore one of the broadest sets of multicore architectures in the HPC literature, including the Intel Xeon Clovertown, AMD Opteron Barcelona, Sun Victoria Falls, and the Sony-Toshiba-IBM (STI) Cell. Rather than hand-tuning each kernel for each system, we develop a code generator for each kernel that allows us to identify a highly optimized version for each platform, while amortizing the human programming effort. Results show that our auto-tuned kernel applications often achieve a better than 4X improvement compared with the original code. Additionally, we analyze a Roofline performance model for each platform to reveal hardware bottlenecks and software challenges for future multicore systems and applications.

  17. PERI - auto-tuning memory-intensive kernels for multicore

    International Nuclear Information System (INIS)

    Williams, S; Carter, J; Oliker, L; Shalf, J; Yelick, K; Bailey, D; Datta, K

    2008-01-01

    We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of search-based performance optimizations, popular in linear algebra and FFT libraries, to application-specific computational kernels. Our work applies this strategy to sparse matrix vector multiplication (SpMV), the explicit heat equation PDE on a regular grid (Stencil), and a lattice Boltzmann application (LBMHD). We explore one of the broadest sets of multicore architectures in the high-performance computing literature, including the Intel Xeon Clovertown, AMD Opteron Barcelona, Sun Victoria Falls, and the Sony-Toshiba-IBM (STI) Cell. Rather than hand-tuning each kernel for each system, we develop a code generator for each kernel that allows us identify a highly optimized version for each platform, while amortizing the human programming effort. Results show that our auto-tuned kernel applications often achieve a better than 4x improvement compared with the original code. Additionally, we analyze a Roofline performance model for each platform to reveal hardware bottlenecks and software challenges for future multicore systems and applications

  18. A New System for Measuring Auto-Fluorescence Changes in Neovascular-AMD after Intravitreal Injection of Bavecizumab

    Directory of Open Access Journals (Sweden)

    Mohammad Norouzifard

    2011-07-01

    Full Text Available Age-Related Macular Degeneration (AMD is the second disease diabetes which causes blindness in aged people. The only remedy for AMD is intravenous injection of bavecizumab. To prove the efficiency of remedy, the degenerated cells in Macula should be measured. In this article, a modern system is introduced to measure Auto-Fluorescence in Macula part of retina in order to obtain number of degenerated cells. The system consists of three main parts: Pre-processing stage is omission of margins and reversion of images in retina. Analysis stage is in charge of classification of images and elicitation of their features. In classification the target areas are identified by methods like morphology, dynamic threshold and connected comportments and the features of target area including Euclidean distance to the center of image and density. In the stage of understanding by gathering the features of each class, we will get the measurable parameter of evaluating Auto Fluorescence by the help of which we can count the number of degenerated cells of Macula area. The results are coming from statistical analysis, including linear regression and correlation of data. Experiments have been done on a database of 34 retina images of AMD patients. The average statistical error rate is equal to76 percent. In clinical reviews, the founded relation to disinflation of Macula has been proved, while there were no proved relations to the vision decreasing or increasing of patients.

  19. Isotonic Regression under Lipschitz Constraint

    Science.gov (United States)

    Wilbur, W.J.

    2018-01-01

    The pool adjacent violators (PAV) algorithm is an efficient technique for the class of isotonic regression problems with complete ordering. The algorithm yields a stepwise isotonic estimate which approximates the function and assigns maximum likelihood to the data. However, if one has reasons to believe that the data were generated by a continuous function, a smoother estimate may provide a better approximation to that function. In this paper, we consider the formulation which assumes that the data were generated by a continuous monotonic function obeying the Lipschitz condition. We propose a new algorithm, the Lipschitz pool adjacent violators (LPAV) algorithm, which approximates that function; we prove the convergence of the algorithm and examine its complexity. PMID:29456266

  20. Prediction, Regression and Critical Realism

    DEFF Research Database (Denmark)

    Næss, Petter

    2004-01-01

    This paper considers the possibility of prediction in land use planning, and the use of statistical research methods in analyses of relationships between urban form and travel behaviour. Influential writers within the tradition of critical realism reject the possibility of predicting social...... phenomena. This position is fundamentally problematic to public planning. Without at least some ability to predict the likely consequences of different proposals, the justification for public sector intervention into market mechanisms will be frail. Statistical methods like regression analyses are commonly...... seen as necessary in order to identify aggregate level effects of policy measures, but are questioned by many advocates of critical realist ontology. Using research into the relationship between urban structure and travel as an example, the paper discusses relevant research methods and the kinds...

  1. Painlevé test for integrability and exact solutions for the field ...

    Indian Academy of Sciences (India)

    - tion between two pairs of solutions. ... have been rediscovered. Keywords. Painlevé analysis; integrability; auto-Backlund transformations; exact solu- ..... [8] H Yoshida, Celestial Mechanics 81, 363 (1983). [9] H Yoshida, Celestial Mechanics ...

  2. Lumbar herniated disc: spontaneous regression.

    Science.gov (United States)

    Altun, Idiris; Yüksel, Kasım Zafer

    2017-01-01

    Low back pain is a frequent condition that results in substantial disability and causes admission of patients to neurosurgery clinics. To evaluate and present the therapeutic outcomes in lumbar disc hernia (LDH) patients treated by means of a conservative approach, consisting of bed rest and medical therapy. This retrospective cohort was carried out in the neurosurgery departments of hospitals in Kahramanmaraş city and 23 patients diagnosed with LDH at the levels of L3-L4, L4-L5 or L5-S1 were enrolled. The average age was 38.4 ± 8.0 and the chief complaint was low back pain and sciatica radiating to one or both lower extremities. Conservative treatment was administered. Neurological examination findings, durations of treatment and intervals until symptomatic recovery were recorded. Laségue tests and neurosensory examination revealed that mild neurological deficits existed in 16 of our patients. Previously, 5 patients had received physiotherapy and 7 patients had been on medical treatment. The number of patients with LDH at the level of L3-L4, L4-L5, and L5-S1 were 1, 13, and 9, respectively. All patients reported that they had benefit from medical treatment and bed rest, and radiologic improvement was observed simultaneously on MRI scans. The average duration until symptomatic recovery and/or regression of LDH symptoms was 13.6 ± 5.4 months (range: 5-22). It should be kept in mind that lumbar disc hernias could regress with medical treatment and rest without surgery, and there should be an awareness that these patients could recover radiologically. This condition must be taken into account during decision making for surgical intervention in LDH patients devoid of indications for emergent surgery.

  3. Fundus auto fluorescence and spectral domain ocular coherence tomography in the early detection of chloroquine retinopathy

    Directory of Open Access Journals (Sweden)

    Megan B. Goodman

    2015-08-01

    Full Text Available Purpose: To determine the sensitivity of spectral domain ocular coherence tomography (SD-OCT and fundus auto fluorescence (FAF images as a screening test to detect early changes in the retina prior to the onset of chloroquine retinopathy. Method: The study was conducted using patients taking chloroquine (CQ, referred by the Rheumatology Department to the Ophthalmology Department at Tygerberg Academic Hospital. Group A consisted of 59 patients on CQ for less than 5 years, and Group B consisted of 53 patients on CQ for more than 5 years. A 200 × 200 macula thickness map, 5-line raster SD-OCT on a Carl Zeiss Meditec Cirrus HD-OCT and FAF images on a Carl Zeiss Meditec Visucam 500 were recorded for 223 eyes. Images were reviewed independently, and then those of Groups A and B compared. Results: There were no statistically significant differences between Groups A and B. The criteria included the internal limiting membrane and the retinal pigment epithelium (ILM-RPE thickness, interdigitation zone integrity (p = 0.891, df = 1, χ² = 0.1876, ellipsoid zone integrity (p = 0.095, df = 2, χ² = 4.699 and FAF image irregularities (p = 0.479, df = 1, χ²= 4995978. Conclusion: The inclusion of SD-OCT and FAF as objective tests into the prescribed screening guidelines does not appear to simplify the detection of subclinical injury in patients on chloroquine treatment.

  4. Interpolis SlimOpWeg-programma : de AutoModus-app : samenvatting onderzoeksresultaten.

    NARCIS (Netherlands)

    2016-01-01

    Interpolis heeft in het kader van het SlimOpWeg-programma een app voor de smartphone laten ontwikkelen. Het doel van deze ‘AutoModus-app’ is om jongeren te helpen hun smart phonegebruik in de auto te verminderen. Afleiding door mobiel telefoongebruik vormt namelijk een groot verkeers

  5. 47 CFR 80.307 - Compulsory use of radiotelegraph auto alarm.

    Science.gov (United States)

    2010-10-01

    ....307 Section 80.307 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) SAFETY AND SPECIAL RADIO SERVICES STATIONS IN THE MARITIME SERVICES Safety Watch Requirements and Procedures Ship Station Safety Watches § 80.307 Compulsory use of radiotelegraph auto alarm. The radiotelegraph auto alarm...

  6. Europe's Auto/Oil 2 program, understanding the cost-benefits of NGV's

    NARCIS (Netherlands)

    Weide, J. van der

    2000-01-01

    In the mid-nineties in Europe, the so-called Auto/Oil 1 Program was carried out. The aim was to improve air quality in urban areas by setting new emissions standards based on improved vehicle and fuel technology. The program was carried out by the auto and oil industry under leadership of the

  7. Research of probe with 241Am γ source for Auto-leveller of card

    International Nuclear Information System (INIS)

    Fan Jingfan; Sun Guoxing; Sui Shenhua; Song Chenlu

    1990-01-01

    Auto-leveller of card is an intelligent radioisotope autocontrol system. It can be widely applied to auto-feeders in which the level density of feeder must be kept. The research result of 241 Am γ source probe is presented

  8. The Devil and his Dramatic Function in Calderon’s Autos Sacramentales

    Directory of Open Access Journals (Sweden)

    Luis Iglesias Feijoo

    2014-05-01

    Full Text Available In some Calderón’s autos sacramentales the character of the Devil draws the plot and establishes the dramatic action as a demiurge. He elaborates plans and strategies to confuse the Man, but he always fails. This function approaches the autos to the metatheater. Finally certain parallels with Shakespeare are suggested.

  9. "Auto-Evaluation": Daily Self-Assessment in the FSL Classroom

    Science.gov (United States)

    Klein, Larissa

    2007-01-01

    This article is about the benefits of self-assessment and its use in language education. The main focus is on "auto-evaluation" as a means of beginning class in an organized and motivating way. In contrast to "bell work" or other start-of-period activities on random topics, "auto-evaluation" involves asking questions that are closely tied to what…

  10. [Auto-immune disorders as a possible cause of neuropsychiatric syndromes].

    Science.gov (United States)

    Martinez-Martinez, P; Molenaar, P C; Losen, M; Hoffmann, C; Stevens, J; de Witte, L D; van Amelsvoort, T; van Os, J; Rutten, B P F

    2015-01-01

    Changes that occur in the behaviour of voltage-gated ion channels and ligand-gated receptor channels due to gene mutations or auto-immune attack are the cause of channelopathies in the central and peripheral nervous system. Although the relation between molecular channel defects and clinical symptoms has been explained in the case of many neuromuscular channelopathies, the pathophysiology of auto-immunity in neuropsychiatric syndromes is still unclear. To review recent findings regarding neuronal auto-immune reactions in severe neuropsychiatric syndromes. Using PubMed, we consulted the literature published between 1990 and August 2014 relating to the occurrence of auto-immune antibodies in severe and persistent neuropsychiatric syndromes. Auto-antibodies have only limited access to the central nervous system, but if they do enter the system they can, in some cases, cause disease. We discuss recent findings regarding the occurrence of auto-antibodies against ligand-activated receptor channels and potassium channels in neuropsychiatric and neurological syndromes, including schizophrenia and limbic encephalitis. Although the occurrence of several auto-antibodies in schizophrenia has been confirmed, there is still no proof of a causal relationship in the syndrome. We still have no evidence of the prevalence of auto-immunity in neuropsychiatric syndromes. The discovery that an antibody against an ion channel is associated with some neuropsychiatric disorders may mean that in future it will be possible to treat patients by means of immunosuppression, which could lead to an improvement in a patient's cognitive abilities.

  11. The Role of Cultural Context in Continuing Vocational Training: A Study on Auto Repairmen in Turkey

    Science.gov (United States)

    Akbas, Oktay

    2011-01-01

    This study analysed how auto repairmen working in micro-enterprises undertake continuing vocational training in relation to cultural context. The study was conducted in Kirikkale, a city in central Anatolia in Turkey. To this end, the descriptive research technique of structured interview was used. Interviews with 33 auto repairmen were recorded…

  12. Auto-Communication and Micro-Orientalism at the Shanghai Expo 2010

    DEFF Research Database (Denmark)

    Ren, Carina Bregnholm; Ooi, Can-Seng

    Using the concepts of auto-communication and micro-orientalism, this article argues that nation branding at World Expos produces and propagates notions of difference and otherness. By use of the Danish ‘Welfairytales’ pavilion at the 2010 Expo in Shanghai, we show how national Self is performed......, a number of auto-communicative and micro-orientalist practices are enacted....

  13. Auto-compensation of ion beam in an accelerator with anode layer

    International Nuclear Information System (INIS)

    Bizyukov, A.A.; Kashaba, A.E.; Sereda, K.N.; Tselujko, A.F.; Yunakov, N.N.

    1997-01-01

    Experiments of studies on the ion beam auto-compensation are described. It is shown that in the accelerators with anode layer in the case of insulated collector there appears the auto-compensation due to excitation of additional non-independent gaseous discharge

  14. Auto-communication and Micro-orientalism at the Shanghai Expo 2010

    DEFF Research Database (Denmark)

    Ren, Carina Bregnholm; Ooi, Can-Seng

    2012-01-01

    Abstract: Using the concepts of auto-communication and micro-orientalism, this article argues that nation branding at World Expos produces and propagates notions of difference and otherness. By use of the Danish ‘Welfairytales’ pavilion at the 2010 Expo in Shanghai, we show how national Self...... layout, a number of auto-communicative and micro-orientalist practices are enacted....

  15. 46 CFR 28.875 - Radar, depth sounding, and auto-pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 1 2010-10-01 2010-10-01 false Radar, depth sounding, and auto-pilot. 28.875 Section 28.875 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY UNINSPECTED VESSELS REQUIREMENTS FOR COMMERCIAL FISHING INDUSTRY VESSELS Aleutian Trade Act Vessels § 28.875 Radar, depth sounding, and auto-pilot...

  16. Automation of AutoCAD for Detailing of Reinforced Concrete Dog ...

    African Journals Online (AJOL)

    AutoLISP was used to automate AutoCAD to produce reinforced concrete drawing of a half-turn dog-leg staircase, on receiving information relating to geometry and related parameters. This was done to improve efficiency as well as to save time and effort during structural detailing of the staircase type. The software ...

  17. Meta-Regression Approximations to Reduce Publication Selection Bias

    Science.gov (United States)

    Stanley, T. D.; Doucouliagos, Hristos

    2014-01-01

    Publication selection bias is a serious challenge to the integrity of all empirical sciences. We derive meta-regression approximations to reduce this bias. Our approach employs Taylor polynomial approximations to the conditional mean of a truncated distribution. A quadratic approximation without a linear term, precision-effect estimate with…

  18. Shell Element Verification & Regression Problems for DYNA3D

    Energy Technology Data Exchange (ETDEWEB)

    Zywicz, E

    2008-02-01

    A series of quasi-static regression/verification problems were developed for the triangular and quadrilateral shell element formulations contained in Lawrence Livermore National Laboratory's explicit finite element program DYNA3D. Each regression problem imposes both displacement- and force-type boundary conditions to probe the five independent nodal degrees of freedom employed in the targeted formulation. When applicable, the finite element results are compared with small-strain linear-elastic closed-form reference solutions to verify select aspects of the formulations implementation. Although all problems in the suite depict the same geometry, material behavior, and loading conditions, each problem represents a unique combination of shell formulation, stabilization method, and integration rule. Collectively, the thirty-six new regression problems in the test suite cover nine different shell formulations, three hourglass stabilization methods, and three families of through-thickness integration rules.

  19. Manifestações pulmonares de patologias auto-imunes

    Directory of Open Access Journals (Sweden)

    Diva Ferreira

    2007-01-01

    Full Text Available Resumo: O pulmão é uma interface particular entre o antigénio e o sangue circulante. É alvo de acções extrínsecas/intrínsecas e é particularmente vulnerável à agressão por agentes em circulação. Tal como a superfície mucosa, é um local de intensa acção imune, permitindo a expressão antigénica através da recirculação linfocitária. Assim, geram-se reacções locais, inflamatórias, ao antigénio. A imagiologia tem um papel importante no diagnóstico de doenças pulmonares imunológicas. Este grupo inclui as doenças pulmonares auto-imunes. A telerradiografia torácica tem muitas vantagens, mas também algumas limitações. A tomografia computorizada (TC constituiu uma revolução na imagiologia de doenças pulmonares, sendo a técnica de alta resolução uma mais-valia no estudo do interstício. Esta técnica permite uma maior exactidão do que a radiografia convencional no diagnóstico de patologias pulmonares, como as patologias auto-imunes. Abstract: The lung is a unique interface between the antigen and the circulating blood volume. It is submited to extrinsic/intrinsic challenges and is particularly vulnerable to circulating insulting agents. It is a site of intense immune surveillance, allowing antigen sampling to expand the immunologic repertoire through lymphocyte recirculation. In addition, local inflammatory reactions to antigens are generated.Imaging has an important role in diagnosis of patients with immunologic lung diseases. This group includes autoimmune lung diseases. There are many advantages of plain chest radiography but also significant limitations. It was a revolution in imaging of lung diseases with Computed Tomography (CT, being high resolution an important help in pulmonary interstitium study. This technique has a higher diagnostic accuracy than the conventional chest X-ray both in the detection and the diagnosis of lung diseases, such as autoimmune lung diseases. Palavras-chave: Doença pulmonar

  20. Manifestações pulmonares de patologias auto-imunes

    Directory of Open Access Journals (Sweden)

    Diva Ferreira

    2007-01-01

    Full Text Available Resumo: O pulmão é uma interface particular entre o antigénio e o sangue circulante. É alvo de acções extrín-secas/intrínsecas e é particularmente vulnerável à agressão por agentes em circulação. Tal como a superfície mucosa, é um local de intensa acção imune, permitindo a expressão antigénica através da recirculação linfocitária. Assim, geram-se reacções locais, inflamatórias, ao antigénio. A imagiologia tem um papel importante no diagnóstico de doenças pulmonares imunológicas. Este grupo inclui as doenças pulmonares auto-imunes. A telerradiografia torácica tem muitas vantagens, mas também algumas limitações. A tomografia computorizada (TC constituiu uma revolução na imagiologia de doenças pulmonares, sendo a técnica de alta resolução uma mais-valia no estudo do interstício. Esta técnica permite uma maior exactidão do que a radiografia convencional no diagnóstico de patologias pulmonares, como as patologias auto-imunes.Rev Port Pneumol 2007; XIII (1: 83-100 Abstract: The lung is a unique interface between the antigen and the circulating blood volume. It is submited to extrinsic/intrinsic challenges and is particularly vulnerable to circulating insulting agents. It is a site of intense immune surveillance, allowing antigen sampling to expand the immunologic repertoire through lymphocyte recirculation. In addition, local inflammatory reactions to antigens are generated.Imaging has an important role in diagnosis of patients with immunologic lung diseases. This group includes autoimmune lung diseases. There are many advantages of plain chest radiography but also significant limitations. It was a revolution in imaging of lung diseases with Computed Tomography (CT, being high resolution an important help in pulmonary interstitium study. This technique has a higher diagnostic accuracy than the conventional chest X-ray both in the detection and the diagnosis of lung diseases, such as autoimmune lung

  1. Study on auto-plating process time versus recovery for polonium, Po-210 in environmental sample

    International Nuclear Information System (INIS)

    Jalal Sharib; Zaharudin Ahmad; Abdul Kadir Ishak; Norfaizal Mohamed; Ahmad Sanadi Abu Bakar; Yii Mei Wo; Kamarozaman Ishak; Siti Aminah Yusoff

    2008-08-01

    This study was carried out to evaluate time effectiveness and recovery 16 samples of 4 Kuala Muda stations during auto-plating process procedures for determination Polonium, Po 210 activity concentration in environmental sample. The study was performed using Kuala Muda sediment as sample in the same methodology. The auto-plating process runs for 4, 12, 24 and 30 hours on a silver disc for 4 samples each station, and then counted for one (1) day using an alpha spectrometry counting system. The objectives for this study is to justify on time duration for auto-plating process effecting a chemical yield of Po-209.The results showed recovery are increasing versus time and constantly at 24 hour auto-plating. Its mean, 24 hour is an optimum time for auto-plating process for determination of Polonium, Po 210 activity concentration in environmental sample. (Author)

  2. AutoSync : Automatic duty-cycle control for synchronous low-power listening

    DEFF Research Database (Denmark)

    Hansen, Morten Tranberg; Kusy, Branislav; Jurdak, Raja

    2012-01-01

    resources doing idle listening. This problem is particularly exacerbated in multi-radio networks where majority of data comes through the most reliable radio and the duty cycles of other radios could be reduced. We address this issue in AutoSync, a protocol that combines synchronous LPL with automatic...... selection of check intervals to reduce energy consumption in both single and multi-radio networks. We first present the justification for AutoSync's design, and we then discuss our implementation of AutoSync in TinyOS. We compare AutoSync against existing protocols in both simulations and empirical...... experiments. Results show that AutoSync attains a substantial increase in the operational lifetime and mean power consumption over existing protocols in single radio networks and even more in dual radio networks....

  3. An Auto-Inductive Cascade for the Optical Sensing of Thiols in Aqueous Media: Application in the Detection of a VX Nerve Agent Mimic.

    Science.gov (United States)

    Sun, Xiaolong; Anslyn, Eric V

    2017-08-01

    A new auto-inductive protocol employs a Meldrum's-acid-based conjugate acceptor (1) as a latent source of thiol for signal amplification, as well as optical detection of thiols. The auto-induction is initiated by a thiol-disulfide exchange that leads to the generation of β-mercaptoethanol, which in turn decouples the conjugate acceptor to release more thiols, resulting in a self-propagating cycle that continues until all the conjugate acceptor is consumed. Using 1 in a two-step integrated protocol yields a rapid, sensitive, and precise diagnostic assay for the ultratrace quantitation of a thiophosphate nerve agent surrogate. © 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

  4. The auto-amputated adnexa: a review of findings in a pediatric population.

    Science.gov (United States)

    Focseneanu, Mariel A; Omurtag, Kenan; Ratts, Valerie S; Merritt, Diane F

    2013-12-01

    To quantify our experience and that of the literature with diagnosis and management of the auto-amputated adnexa in a pediatric population. Case series and literature review. Tertiary care medical center. Case series of pediatric patients (auto-amputation collected from our medical center and the literature. None. Auto-amputated adnexa. In addition to the 3 cases discussed from our institution, 91 cases of auto-amputated adnexa were identified in the literature dating back to 1943, for a total of 94 cases. Forty-nine percent (46/94) of the cases involved girls in a pediatric population (auto-amputated adnexa. 34 out of 46 cases were analyzed in detail. The right adnexa were involved in 56% of the cases. The most common presenting complaint verbalized by the older girls was pain; however, 8 cases were identified in asymptomatic girls undergoing unrelated diagnostic testing. The auto-amputated adnexa is a rare finding in the pediatric population, but it must be considered as a possible explanation for the incidental finding of absence of the fallopian tube or ovary in the subgroup of patients who undergo surgery for any reason. Patients with an antecedent history of pelvic pain either chronic or intermittent in nature may be diagnosed with torsion or less frequently auto-amputation of the adnexa. A fetal "pelvic mass" or "ovarian cyst" may predispose the adnexa to torsion and subsequent auto-amputation either in-utero or post-delivery. Many of these antenatally diagnosed cysts and even subsequent auto-amputations are completely asymptomatic, however, and do not compromise fertility assuming the contralateral adnexa are normal. Thus expectant management is appropriate for small (less than 4 cm), asymptomatic simple cysts and even suspected auto-amputated adnexa in an asymptomatic patient. Copyright © 2013 North American Society for Pediatric and Adolescent Gynecology. Published by Elsevier Inc. All rights reserved.

  5. Double-lumen tubes and auto-PEEP during one-lung ventilation.

    Science.gov (United States)

    Spaeth, J; Ott, M; Karzai, W; Grimm, A; Wirth, S; Schumann, S; Loop, T

    2016-01-01

    Double-lumen tubes (DLT) are routinely used to enable one-lung-ventilation (OLV) during thoracic anaesthesia. The flow-dependent resistance of the DLT's bronchial limb may be high as a result of its narrow inner diameter and length, and thus potentially contribute to an unintended increase in positive end-expiratory pressure (auto-PEEP). We therefore studied the impact of adult sized DLTs on the dynamic auto-PEEP during OLV. In this prospective clinical study, dynamic auto-PEEP was determined in 72 patients undergoing thoracic surgery, with right- and left-sided DLTs of various sizes. During OLV, air trapping was provoked by increasing inspiration to expiration ratio from 1:2 to 2:1 (five steps). Based on measured flow rate, airway pressure (Paw) and bronchial pressure (Pbronch), the pressure gradient across the DLT (ΔPDLT) and the total auto-PEEP in the respiratory system (i.e. the lungs, the DLT and the ventilator circuit) were determined. Subsequently the DLT's share in total auto-PEEP was calculated. ΔPDLT was 2.3 (0.7) cm H2O over the entire breathing cycle. At the shortest expiratory time the mean total auto-PEEP was 2.9 (1.5) cm H2O (range 0-5.9 cm H2O). The DLT caused 27 to 31% of the total auto-PEEP. Size and side of the DLT's bronchial limb did not impact auto-PEEP significantly. Although the DLT contributes to the overall auto-PEEP, its contribution is small and independent of size and side of the DLT's bronchial limb. The choice of DLT does not influence the risk of auto-PEEP during OLV to a clinically relevant extent. DRKS00005648. © The Author 2015. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  6. Insulin resistance: regression and clustering.

    Science.gov (United States)

    Yoon, Sangho; Assimes, Themistocles L; Quertermous, Thomas; Hsiao, Chin-Fu; Chuang, Lee-Ming; Hwu, Chii-Min; Rajaratnam, Bala; Olshen, Richard A

    2014-01-01

    In this paper we try to define insulin resistance (IR) precisely for a group of Chinese women. Our definition deliberately does not depend upon body mass index (BMI) or age, although in other studies, with particular random effects models quite different from models used here, BMI accounts for a large part of the variability in IR. We accomplish our goal through application of Gauss mixture vector quantization (GMVQ), a technique for clustering that was developed for application to lossy data compression. Defining data come from measurements that play major roles in medical practice. A precise statement of what the data are is in Section 1. Their family structures are described in detail. They concern levels of lipids and the results of an oral glucose tolerance test (OGTT). We apply GMVQ to residuals obtained from regressions of outcomes of an OGTT and lipids on functions of age and BMI that are inferred from the data. A bootstrap procedure developed for our family data supplemented by insights from other approaches leads us to believe that two clusters are appropriate for defining IR precisely. One cluster consists of women who are IR, and the other of women who seem not to be. Genes and other features are used to predict cluster membership. We argue that prediction with "main effects" is not satisfactory, but prediction that includes interactions may be.

  7. Insulin resistance: regression and clustering.

    Directory of Open Access Journals (Sweden)

    Sangho Yoon

    Full Text Available In this paper we try to define insulin resistance (IR precisely for a group of Chinese women. Our definition deliberately does not depend upon body mass index (BMI or age, although in other studies, with particular random effects models quite different from models used here, BMI accounts for a large part of the variability in IR. We accomplish our goal through application of Gauss mixture vector quantization (GMVQ, a technique for clustering that was developed for application to lossy data compression. Defining data come from measurements that play major roles in medical practice. A precise statement of what the data are is in Section 1. Their family structures are described in detail. They concern levels of lipids and the results of an oral glucose tolerance test (OGTT. We apply GMVQ to residuals obtained from regressions of outcomes of an OGTT and lipids on functions of age and BMI that are inferred from the data. A bootstrap procedure developed for our family data supplemented by insights from other approaches leads us to believe that two clusters are appropriate for defining IR precisely. One cluster consists of women who are IR, and the other of women who seem not to be. Genes and other features are used to predict cluster membership. We argue that prediction with "main effects" is not satisfactory, but prediction that includes interactions may be.

  8. Regularized Label Relaxation Linear Regression.

    Science.gov (United States)

    Fang, Xiaozhao; Xu, Yong; Li, Xuelong; Lai, Zhihui; Wong, Wai Keung; Fang, Bingwu

    2018-04-01

    Linear regression (LR) and some of its variants have been widely used for classification problems. Most of these methods assume that during the learning phase, the training samples can be exactly transformed into a strict binary label matrix, which has too little freedom to fit the labels adequately. To address this problem, in this paper, we propose a novel regularized label relaxation LR method, which has the following notable characteristics. First, the proposed method relaxes the strict binary label matrix into a slack variable matrix by introducing a nonnegative label relaxation matrix into LR, which provides more freedom to fit the labels and simultaneously enlarges the margins between different classes as much as possible. Second, the proposed method constructs the class compactness graph based on manifold learning and uses it as the regularization item to avoid the problem of overfitting. The class compactness graph is used to ensure that the samples sharing the same labels can be kept close after they are transformed. Two different algorithms, which are, respectively, based on -norm and -norm loss functions are devised. These two algorithms have compact closed-form solutions in each iteration so that they are easily implemented. Extensive experiments show that these two algorithms outperform the state-of-the-art algorithms in terms of the classification accuracy and running time.

  9. Auto-control experiments on DIDO using discontinuous feedback

    International Nuclear Information System (INIS)

    Lawrence, L.A.J.

    1959-12-01

    Experiments on auto-controlling the reactor DIDO are described and the equipment design discussed in some detail. The experiments are carried out to show the suitability of an on/off type of control for the maintenance of: (a) a constant flux level in the presence of noise. (b) constant period during power change. The controlling signals stem from measurement of neutron flux computed to give deviation from demanded power, and period respectively. These signals are fed to a D.C. amplifier with variable deadbang whose output is used to control relays, these in turn control the coarse control arms by means of three-phase motors. The system is designed on the basis of locus diagrams, a conventional non-linear technique being used to handle the relay performance. Calculation of the reactor transfer function at high and low power respectively shows that the stability margin is not appreciably affected by the inherent thermodynamic feedback in the reactor core. (author)

  10. Auto antibodies against oxidized low density lipoprotein in severe preeclampsia.

    Science.gov (United States)

    Jain, Meenakshi; Sawhney, Harjeet; Aggarwal, Neelam; Vashistha, Kala; Majumdhar, Siddarth

    2004-06-01

    To study autoantibody titres against oxidized low density lipoprotein in preeclamsia. Ten millimeters of heparinized blood samples were collected from 20 primigravidae with severe preeclamsia (study group) and 20 gestation-matched normotensive primigravidae (control group). Concentration of malondialdehyde, metabolite of lipid peroxidation were measured in sera by HPLC and autoantibodies against oxidized low density lipoproteins (obtained after oxidation with 2 mm CuSO(4)) were determined by ELISA. Statistical analysis was performed by Student's t-test and chi(2) test. Mean triglyceride levels were significantly (P /=1.32). In preeclamptic women, diastolic blood pressure, the amount of urinary protein excretion and the plasma level of urea were significantly higher (P < 0.05) in patients with higher auto antibody titre. Titres of autoantibodies to oxidized low density lipoprotein were similar in normotensive and preeclamptic women. In preeclamptic women, titres correlated positively with the severity of preeclampsia.

  11. [Value of positive auto controls in the gel centrifugation method].

    Science.gov (United States)

    Eichler, H; Kretschmer, V

    1994-01-01

    We studied 97 samples of patients being positive in the autocontrol of the indirect antiglobulin test (IAT) in the gel system (DiaMed). In 83.2%, retesting with monospecific anti-IgG serum gave also positive results, due to a specific phenomenon caused, for example, by drug-specific antibodies (AB), warm auto-AB or allo-AB. In contrast, only 52.9% of the samples retested by the standard tube technique with polyspecific antiglobulin serum reacted positive. Only in 6 patients slightly increased cold agglutinins could be detected. None of the investigated patients showed any clinical or laboratory signs of hemolysis except one with pernicious anemia. We conclude that positive results of the autocontrol in the gel IAT should be confirmed by an additional DAT in the tube technique. If this second test shows a negative result, transfusions can take place without any restrictions.

  12. Satisfaction with early retirement: making choices in the auto industry.

    Science.gov (United States)

    Hardy, M A; Quadagno, J

    1995-07-01

    In recent decades, the expanded availability of early retirement incentive plans has allowed an increasing number of workers to retire at an age younger than normally allowed by their pension plans. On the surface, these retirement incentives appear to offer older workers more flexibility in deciding when to retire. However, the offer of early retirement incentives frequently occurs when employers are attempting to reduce employment; therefore, the opportunity for early retirement may be counterbalanced by downsizing goals that place older workers' continued employment in jeopardy. Early retirement incentive programs are thereby characterized by an unusual combination of inducement and coercion. In this study, we examined how the structure of the early retirement program shapes the way older male auto workers evaluate their retirement transitions. We conclude that the structure of the early retirement program, the timing of the retirement decision, and job security are important in framing the retirement transition and in distinguishing levels of satisfaction with the retirement experience.

  13. Calibration transfer via an extreme learning machine auto-encoder.

    Science.gov (United States)

    Chen, Wo-Ruo; Bin, Jun; Lu, Hong-Mei; Zhang, Zhi-Min; Liang, Yi-Zeng

    2016-03-21

    In order to solve the spectra standardization problem in near-infrared (NIR) spectroscopy, a Transfer via Extreme learning machine Auto-encoder Method (TEAM) has been proposed in this study. A comparative study among TEAM, piecewise direct standardization (PDS), generalized least squares (GLS) and calibration transfer methods based on canonical correlation analysis (CCA) was conducted, and the performances of these algorithms were benchmarked with three spectral datasets: corn, tobacco and pharmaceutical tablet spectra. The results show that TEAM is a stable method and can significantly reduce prediction errors compared with PDS, GLS and CCA. TEAM can also achieve the best RMSEPs in most cases with a small number of calibration sets. TEAM is implemented in Python language and available as an open source package at https://github.com/zmzhang/TEAM.

  14. Shape matters: improved flight in tapered auto-rotating wings

    Science.gov (United States)

    Liu, Yucen; Vincent, Lionel; Kanso, Eva

    2017-11-01

    Many plants use gravity and wind to disperse their seeds. The shape of seed pods influence their aerodynamics. For example, Liana seeds form aerodynamic gliders and Sycamore trees release airborne ``helicopters.'' Here, we use carefully-controlled experiments and high-speed photography to examine dispersion by tumbling (auto-rotation) and we focus on the effect of geometry on flight characteristics. We consider four families of shapes: rectangular, elliptic, tapered, and sharp-tip wings, and we vary the span-to-chord ratio. We find that tapered wings exhibit extended flight time and range, that is, better performance. A quasi-steady two-dimensional model is used to highlight the mechanisms by which shape affects flight performance. These findings could have significant implications on linking seedpod designs to seed dispersion patterns as well as on optimizing wing design in active flight problems.

  15. Biomechanical aspects of the auto-digestion theory.

    Science.gov (United States)

    Schmid-Schönbein, Geert W

    2008-06-01

    Increasing evidence suggests that most cardiovascular diseases, tumors and other ailments are associated with an inflammatory cascade. The inflammation is accompanied by activation of cells in the circulation and fundamental changes in the mechanics of the microcirculation, expression of pro-inflammatory genes and downregulation of anti-inflammatory genes, attachment of leukocytes to the endothelium, elevated permeability of the endothelium, and many other events. The evidence has opened great opportunities for medicine to develop new anti-inflammatory interventions. But it also raises a fundamental question: What is the origin of inflammation? I will discuss a basic series of studies that was designed to explore trigger mechanisms for inflammation in shock and multi-organ failure, an important clinical problem associated with high mortality. We traced the source of the inflammatory mediators to the powerful digestive enzymes in the intestine. Synthesized in the pancreas as part of normal digestion, they have the ability to degrade almost all biological tissues and molecules. In the lumen of the intestine, digestive enzymes are fully activated and self-digestion of the intestine is prevented by compartmentalization in the lumen of the intestine facilitated by the mucosal epithelial barrier. Under conditions of intestinal ischemia, however, the mucosal barrier becomes permeable to pancreatic enzymes allowing their entry into the wall of the intestine. The process leads to auto-digestion of the intestinal wall and production of inflammatory mediators. The hypothesis that multi-organ failure in shock may be due an auto-digestion process by pancreatic enzymes is ready to be tested in a variety of shock conditions.

  16. Doença crônica, auto-avaliação de saúde e comportamento de risco: diferença de gênero Enfermedad crónica, auto-evaluación de salud y comportamiento de riesgo: diferencia de género Chronic diseases, self-perceived health status and health risk behaviors: gender differences

    Directory of Open Access Journals (Sweden)

    Sandhi Maria Barreto

    2009-11-01

    Full Text Available OBJETIVO: Analisar a associação entre relato de doenças crônicas com comportamentos de risco e auto-avaliação da saúde, segundo o gênero. MÉTODOS: Foram incluídos 39.821 participantes com idade >30 anos do sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (VIGITEL realizado em 27 capitais brasileiras em 2006. A variável dependente foi construída pelo relato de diagnóstico médico de diabetes, hipertensão e infarto e/ou acidente vascular cerebral. Os indivíduos foram agrupados segundo ausência de doença, uma doença crônica, e mais de uma. A associação dessa variável com comportamento de risco (composto por: fumar, consumir carnes com gordura e leite integral, não realizar atividade física regular no lazer, não consumir frutas e hortaliças regularmente e adicionar sal à refeição pronta, auto-avaliação da saúde, indicadores de saúde e sociodemográficos foi investigada por regressão logística multinomial segundo o sexo, tendo como referência a ausência de doença. RESULTADOS: O relato de uma e mais de uma doença crônica foi maior entre homens e mulheres mais velhos e com menor escolaridade, com IMC>30kg/m², e que faziam dieta. Observou-se relação inversa entre número de comportamentos de risco e relato de duas ou mais doenças (OR=0,64; IC 95%: 0,54;0,76 entre homens e (OR=0,86; IC 95%: 0,77;0,97 entre mulheres. Homens (OR=33,61; IC 95%: 15,70;71,93 e mulheres (OR=13,02; IC 95%: 6,86;24,73 que auto-avaliaram a saúde como ruim relataram mais doenças crônicas. Não houve interação estatística entre auto-avaliação da saúde e sexo. CONCLUSÕES: Associação inversa entre número de comportamentos de risco e relato de duas ou mais doenças crônicas sugere causalidade reversa e/ou maior sobrevivência dos que se cuidam melhor. Homens parecem perceber sua saúde pior que as mulheres na presença de doença crônica, após ajustamento por fatores

  17. 76 FR 1065 - Security Zone; 23rd Annual North American International Auto Show, Detroit River, Detroit, MI

    Science.gov (United States)

    2011-01-07

    ...-AA87 Security Zone; 23rd Annual North American International Auto Show, Detroit River, Detroit, MI... officials at the 23rd Annual North American International Auto Show (NAIAS) being held at Cobo Hall in... 23rd Annual North American International Auto Show (NAIAS) being held at Cobo Hall in downtown Detroit...

  18. Principal component regression analysis with SPSS.

    Science.gov (United States)

    Liu, R X; Kuang, J; Gong, Q; Hou, X L

    2003-06-01

    The paper introduces all indices of multicollinearity diagnoses, the basic principle of principal component regression and determination of 'best' equation method. The paper uses an example to describe how to do principal component regression analysis with SPSS 10.0: including all calculating processes of the principal component regression and all operations of linear regression, factor analysis, descriptives, compute variable and bivariate correlations procedures in SPSS 10.0. The principal component regression analysis can be used to overcome disturbance of the multicollinearity. The simplified, speeded up and accurate statistical effect is reached through the principal component regression analysis with SPSS.

  19. What factors affect the carriage of epinephrine auto-injectors by teenagers?

    Directory of Open Access Journals (Sweden)

    Macadam Clare

    2012-02-01

    Full Text Available Abstract Background Teenagers with allergies are at particular risk of severe and fatal reactions, but epinephrine auto-injectors are not always carried as prescribed. We investigated barriers to carriage. Methods Patients aged 12-18 years old under a specialist allergy clinic, who had previously been prescribed an auto-injector were invited to participate. Semi-structured interviews explored the factors that positively or negatively impacted on carriage. Results Twenty teenagers with food or venom allergies were interviewed. Only two patients had used their auto-injector in the community, although several had been treated for severe reactions in hospital. Most teenagers made complex risk assessments to determine whether to carry the auto-injector. Most but not all decisions were rational and were at least partially informed by knowledge. Factors affecting carriage included location, who else would be present, the attitudes of others and physical features of the auto-injector. Teenagers made frequent risk assessments when deciding whether to carry their auto-injectors, and generally wanted to remain safe. Their decisions were complex, multi-faceted and highly individualised. Conclusions Rather than aiming for 100% carriage of auto-injectors, which remains an ambitious ideal, personalised education packages should aim to empower teenagers to make and act upon informed risk assessments.

  20. Auto-thermal reforming using mixed ion-electronic conducting ceramic membranes for a small-scale H₂ production plant.

    Science.gov (United States)

    Spallina, Vincenzo; Melchiori, Tommaso; Gallucci, Fausto; van Sint Annaland, Martin

    2015-03-18

    The integration of mixed ionic electronic conducting (MIEC) membranes for air separation in a small-to-medium scale unit for H2 production (in the range of 650-850 Nm3/h) via auto-thermal reforming of methane has been investigated in the present study. Membranes based on mixed ionic electronic conducting oxides such as Ba0.5Sr0.5Co0.8Fe0.2O3-δ (BSCF) give sufficiently high oxygen fluxes at temperatures above 800 °C with high purity (higher than 99%). Experimental results of membrane permeation tests are presented and used for the reactor design with a detailed reactor model. The assessment of the H2 plant has been carried out for different operating conditions and reactor geometry and an energy analysis has been carried out with the flowsheeting software Aspen Plus, including also the turbomachines required for a proper thermal integration. A micro-gas turbine is integrated in the system in order to supply part of the electricity required in the system. The analysis of the system shows that the reforming efficiency is in the range of 62%-70% in the case where the temperature at the auto-thermal reforming membrane reactor (ATR-MR) is equal to 900 °C. When the electric consumption and the thermal export are included the efficiency of the plant approaches 74%-78%. The design of the reactor has been carried out using a reactor model linked to the Aspen flowsheet and the results show that with a larger reactor volume the performance of the system can be improved, especially because of the reduced electric consumption. From this analysis it has been found that for a production of about 790 Nm3/h pure H2, a reactor with a diameter of 1 m and length of 1.8 m with about 1500 membranes of 2 cm diameter is required.