Sample records for projection matrix analysis

  1. Concealed fault analysis based on the CT projection matrix

    Yang Zhen; Yao Wenli; Ma Liuzhu; Wise Lucas


    This paper proposes the concept of projection curves based on the theory of CT image reconstruction to probe the internal structure of the working panel prior to formal mining of the working panel. As well as reducing costs, this method provides safe and efficient excavation of the working panel. According to the results of the numerical model and the actual working panel, the new method has been proven to be accurate in detecting the location of the fault that extends into the face. Concealed faults of the internal working panel, as well as the start and end points of the fault, can be detected by this method. Engineering practice has proven that the method is highly reliable, has a highly decisive impact on faults for coal mining, and can be used to guide the safe mining of the working panel.

  2. Matrix analysis

    Bhatia, Rajendra


    A good part of matrix theory is functional analytic in spirit. This statement can be turned around. There are many problems in operator theory, where most of the complexities and subtleties are present in the finite-dimensional case. My purpose in writing this book is to present a systematic treatment of methods that are useful in the study of such problems. This book is intended for use as a text for upper division and gradu­ ate courses. Courses based on parts of the material have been given by me at the Indian Statistical Institute and at the University of Toronto (in collaboration with Chandler Davis). The book should also be useful as a reference for research workers in linear algebra, operator theory, mathe­ matical physics and numerical analysis. A possible subtitle of this book could be Matrix Inequalities. A reader who works through the book should expect to become proficient in the art of deriving such inequalities. Other authors have compared this art to that of cutting diamonds. One first has to...


    魏木生; 刘爱晶


    In this paper we study the perturbation bound of the projection ( W A ) ( W A )+,where both the matrices A and W are given with W positive diagonal and severely stiff.When the perturbed matrix (A)= A + δA satisfy several row rank preserving conditions,we derive a new perturbation bound of the projection.

  4. Optimized Projection Matrix for Compressive Sensing

    Jianping Xu


    Full Text Available Compressive sensing (CS is mainly concerned with low-coherence pairs, since the number of samples needed to recover the signal is proportional to the mutual coherence between projection matrix and sparsifying matrix. Until now, papers on CS always assume the projection matrix to be a random matrix. In this paper, aiming at minimizing the mutual coherence, a method is proposed to optimize the projection matrix. This method is based on equiangular tight frame (ETF design because an ETF has minimum coherence. It is impossible to solve the problem exactly because of the complexity. Therefore, an alternating minimization type method is used to find a feasible solution. The optimally designed projection matrix can further reduce the necessary number of samples for recovery or improve the recovery accuracy. The proposed method demonstrates better performance than conventional optimization methods, which brings benefits to both basis pursuit and orthogonal matching pursuit.

  5. Evaluation of the Matrix Project. Interchange 77.

    McIvor, Gill; Moodie, Kristina

    The Matrix Project is a program that has been established in central Scotland with the aim of reducing the risk of offending and anti-social behavior among vulnerable children. The project provides a range of services to children between eight and 11 years of age who are at risk in the local authority areas of Clackmannanshire, Falkirk and…

  6. Analysis of the half-projected Hartree--Fock function: density matrix, natural orbitals, and configuration interaction equivalence

    Smeyers, Y.G.; Delgado-Barrio, G.


    The half-projected Hartree--Fock function for singlet states (HPHF) is analyzed in terms of natural electronic configurations. For this purpose the HPHF spinless density matrix and its natural orbitals are first deduced. It is found that the HPHF function does not contain any contribution from odd-times excited configurations. It is seen in addition, in the case of the singlet ground states, this function is approximately equivalent to two closed-shell configurations, although the nature of the excited one depends on the nuclear geometry. An example is given in the case of the LiH ground state. Finally, the application of this model for studying systems of more than two atoms is criticized.

  7. Project-matrix models of marketing organization

    Gutić Dragutin


    Full Text Available Unlike theory and practice of corporation organization, in marketing organization numerous forms and contents at its disposal are not reached until this day. It can be well estimated that marketing organization today in most of our companies and in almost all its parts, noticeably gets behind corporation organization. Marketing managers have always been occupied by basic, narrow marketing activities as: sales growth, market analysis, market growth and market share, marketing research, introduction of new products, modification of products, promotion, distribution etc. They rarely found it necessary to focus a bit more to different aspects of marketing management, for example: marketing planning and marketing control, marketing organization and leading. This paper deals with aspects of project - matrix marketing organization management. Two-dimensional and more-dimensional models are presented. Among two-dimensional, these models are analyzed: Market management/products management model; Products management/management of product lifecycle phases on market model; Customers management/marketing functions management model; Demand management/marketing functions management model; Market positions management/marketing functions management model. .

  8. Matrix analysis of electrical machinery

    Hancock, N N


    Matrix Analysis of Electrical Machinery, Second Edition is a 14-chapter edition that covers the systematic analysis of electrical machinery performance. This edition discusses the principles of various mathematical operations and their application to electrical machinery performance calculations. The introductory chapters deal with the matrix representation of algebraic equations and their application to static electrical networks. The following chapters describe the fundamentals of different transformers and rotating machines and present torque analysis in terms of the currents based on the p

  9. Matrix vector analysis

    Eisenman, Richard L


    This outstanding text and reference applies matrix ideas to vector methods, using physical ideas to illustrate and motivate mathematical concepts but employing a mathematical continuity of development rather than a physical approach. The author, who taught at the U.S. Air Force Academy, dispenses with the artificial barrier between vectors and matrices--and more generally, between pure and applied mathematics.Motivated examples introduce each idea, with interpretations of physical, algebraic, and geometric contexts, in addition to generalizations to theorems that reflect the essential structur

  10. Sensitivity analysis of periodic matrix population models.

    Caswell, Hal; Shyu, Esther


    Periodic matrix models are frequently used to describe cyclic temporal variation (seasonal or interannual) and to account for the operation of multiple processes (e.g., demography and dispersal) within a single projection interval. In either case, the models take the form of periodic matrix products. The perturbation analysis of periodic models must trace the effects of parameter changes, at each phase of the cycle, on output variables that are calculated over the entire cycle. Here, we apply matrix calculus to obtain the sensitivity and elasticity of scalar-, vector-, or matrix-valued output variables. We apply the method to linear models for periodic environments (including seasonal harvest models), to vec-permutation models in which individuals are classified by multiple criteria, and to nonlinear models including both immediate and delayed density dependence. The results can be used to evaluate management strategies and to study selection gradients in periodic environments.

  11. Matrix iterative analysis

    Varga, Richard S


    This is the softcover reprint of a very popular hardcover edition, a revised version of the first edition, originally published by Prentice Hall in 1962 and regarded as a classic in its field. In some places, newer research results, e.g. results on weak regular splittings, have been incorporated in the revision, and in other places, new material has been added in the chapters, as well as at the end of chapters, in the form of additional up-to-date references and some recent theorems to give the reader some newer directions to pursue. The material in the new chapters is basically self-contained and more exercises have been provided for the readers. While the original version was more linear algebra oriented, the revision attempts to emphasize tools from other areas, such as approximation theory and conformal mapping theory, to access newer results of interest. The book should be of great interest to researchers and graduate students in the field of numerical analysis.

  12. Titanium Matrix Composite Pressure Vessel Project

    National Aeronautics and Space Administration — For over 15 years, FMW Composite Systems has developed Metal Matrix Composite manufacturing methodologies for fabricating silicon-carbide-fiber-reinforced titanium...

  13. Microwave Processed Multifunctional Polymer Matrix Composites Project

    National Aeronautics and Space Administration — NASA has identified polymer matrix composites (PMCs) as a critical need for launch and in-space vehicles, but the significant costs of such materials limits their...

  14. Random Matrix Theory in molecular dynamics analysis.

    Palese, Luigi Leonardo


    It is well known that, in some situations, principal component analysis (PCA) carried out on molecular dynamics data results in the appearance of cosine-shaped low index projections. Because this is reminiscent of the results obtained by performing PCA on a multidimensional Brownian dynamics, it has been suggested that short-time protein dynamics is essentially nothing more than a noisy signal. Here we use Random Matrix Theory to analyze a series of short-time molecular dynamics experiments which are specifically designed to be simulations with high cosine content. We use as a model system the protein apoCox17, a mitochondrial copper chaperone. Spectral analysis on correlation matrices allows to easily differentiate random correlations, simply deriving from the finite length of the process, from non-random signals reflecting the intrinsic system properties. Our results clearly show that protein dynamics is not really Brownian also in presence of the cosine-shaped low index projections on principal axes.

  15. Introduction to matrix analysis and applications

    Hiai, Fumio


    Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the normed space of matrices) and they also carry an order structure that is induced by positive semidefinite matrices. The interplay of these closely related structures is an essential feature of matrix analysis. This book explains these aspects of matrix analysis from a functional analysis point of view. After an introduction to matrices and functional analysis, it covers more advanced topics such as matrix monotone functions, matrix means, majorization and entropies. Several applications to quantum information are also included. Introduction to Matrix Analysis and Applications is appropriate for an advanced graduate course on matrix analysis, particularly aimed at studying quantum information. It can also be used as a reference for researchers in quantum information, statistics, engineering and economics.

  16. Composite orthogonal projection methods for large matrix eigenproblems



    For classical orthogonal projection methods for large matrix eigenproblems, it may be much more difficult for a Ritz vector to converge than for its corresponding Ritz value when the matrix in question is non-Hermitian. To this end, a class of new refined orthogonal projection methods has been proposed. It is proved that in some sense each refined method is a composite of two classical orthogonal projections, in which each refined approximate eigenvector is obtained by realizing a new one of some Hermitian semipositive definite matrix onto the same subspace. A priori error bounds on the refined approximate eigenvector are established in terms of the sine of acute angle of the normalized eigenvector and the subspace involved. It is shown that the sufficient conditions for convergence of the refined vector and that of the Ritz value are the same, so that the refined methods may be much more efficient than the classical ones.

  17. Differential analysis of matrix convex functions II

    Hansen, Frank; Tomiyama, Jun


    We continue the analysis in [F. Hansen, and J. Tomiyama, Differential analysis of matrix convex functions. Linear Algebra Appl., 420:102--116, 2007] of matrix convex functions of a fixed order defined in a real interval by differential methods as opposed to the characterization in terms of divide...




    Matrix management of projects, it is argued, may generate normative conflict, prompting project and functional managers to engage in nonconformist conflict behavior which challenges the division of authority in matrix. An analysis of such struggles has been lacking yet. The present study fills this

  19. Solid-matrix luminescence analysis

    Hurtubise, R.J.


    Several interactions with lumiphors adsorbed on filter paper were elucidated from experiments with moisture, modulus and heavy-atom salts. The data were interpreted using static and dynamic quenching models, heavy-atom theory, and a theory related to the modulus of paper. With cyclodextrin-salt matrices, it was shown that 10% [alpha]-cyclodextrin/NaCl was very effective for obtaining strong room-temperature fluorescence and moderate room-temperature phosphorescence from adsorbed stereoisomeric tetrols. Extensive photophysical information was obtained for the four tetrols on 10% [alpha]-cyclodextrin/NaCl. The photophysical information acquired was used to develop a method for characterizing two of the tetrols. Work with model compounds adsorbed on deuterated sodium acetate showed that C-H vibrations in the undeuterated sodium acetate were not responsible for the deactivation of the excited triplet state in the model phosphors investigated. A considerable amount of solution luminescence and solid-matrix luminescence data were compared. The most important finding was that in several cases the room-temperature solid-matrix luminescence quantum yields were greater than the solution low-temperature quantum yield values.

  20. The three-dimensional matrix -- An evolution in project management

    Glidewell, D.


    In the Functional Department Dimension, functional departments such as project management, design, and construction would be maintained to maximize consistency among project teams, evenly allocate training opportunities, and facilitate the crossfeeding of lessons learned and innovative ideas. Functional departments were also determined to be the surest way of complying uniformly with all project control systems required by the Department of Energy (Sandia`s primary external customer). The Technical Discipline dimension was maintained to enhance communication within the technical disciplines, such as electrical engineering, mechanical engineering, civil engineering, etc., and to evenly allocate technical training opportunities, reduce technical obsolescence, and enhance design standards. The third dimension, the Project Dimension, represents the next step in the project management evolution at Sandia, and together with Functional Department and Technical Discipline Dimensions constitutes the three-dimensional matrix. It is this Project Dimension that will be explored thoroughly in this paper, including a discussion of the specific roles and responsibilities of both management and the project team.

  1. Orientifold ABJM Matrix Model: Chiral Projections and Worldsheet Instantons

    Moriyama, Sanefumi


    We study the partition function of the orientifold ABJM theory, which is a superconformal Chern-Simons theory associated with the orthosymplectic supergroup. We find that the partition function associated with any orthosymplectic supergroup can be realized as that of a Fermi gas system whose density matrix is identical to that associated with the corresponding unitary supergroup with a projection to the even or odd chirality. Furthermore we propose an identity and use it to identify all of the Gopakumar-Vafa invariants for the worldsheet instanton effects systematically.

  2. The accuracy of matrix population model projections for coniferous trees in the Sierra Nevada, California

    van Mantgem, P.J.; Stephenson, N.L.


    1 We assess the use of simple, size-based matrix population models for projecting population trends for six coniferous tree species in the Sierra Nevada, California. We used demographic data from 16 673 trees in 15 permanent plots to create 17 separate time-invariant, density-independent population projection models, and determined differences between trends projected from initial surveys with a 5-year interval and observed data during two subsequent 5-year time steps. 2 We detected departures from the assumptions of the matrix modelling approach in terms of strong growth autocorrelations. We also found evidence of observation errors for measurements of tree growth and, to a more limited degree, recruitment. Loglinear analysis provided evidence of significant temporal variation in demographic rates for only two of the 17 populations. 3 Total population sizes were strongly predicted by model projections, although population dynamics were dominated by carryover from the previous 5-year time step (i.e. there were few cases of recruitment or death). Fractional changes to overall population sizes were less well predicted. Compared with a null model and a simple demographic model lacking size structure, matrix model projections were better able to predict total population sizes, although the differences were not statistically significant. Matrix model projections were also able to predict short-term rates of survival, growth and recruitment. Mortality frequencies were not well predicted. 4 Our results suggest that simple size-structured models can accurately project future short-term changes for some tree populations. However, not all populations were well predicted and these simple models would probably become more inaccurate over longer projection intervals. The predictive ability of these models would also be limited by disturbance or other events that destabilize demographic rates. ?? 2005 British Ecological Society.

  3. Google matrix analysis of directed networks

    Ermann, Leonardo; Frahm, Klaus M.; Shepelyansky, Dima L.


    In the past decade modern societies have developed enormous communication and social networks. Their classification and information retrieval processing has become a formidable task for the society. Because of the rapid growth of the World Wide Web, and social and communication networks, new mathematical methods have been invented to characterize the properties of these networks in a more detailed and precise way. Various search engines extensively use such methods. It is highly important to develop new tools to classify and rank a massive amount of network information in a way that is adapted to internal network structures and characteristics. This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency using various examples including the World Wide Web, Wikipedia, software architectures, world trade, social and citation networks, brain neural networks, DNA sequences, and Ulam networks. The analytical and numerical matrix methods used in this analysis originate from the fields of Markov chains, quantum chaos, and random matrix theory.

  4. Error Analysis of Band Matrix Method

    Taniguchi, Takeo; Soga, Akira


    Numerical error in the solution of the band matrix method based on the elimination method in single precision is investigated theoretically and experimentally, and the behaviour of the truncation error and the roundoff error is clarified. Some important suggestions for the useful application of the band solver are proposed by using the results of above error analysis.

  5. Universality in complex networks: random matrix analysis.

    Bandyopadhyay, Jayendra N; Jalan, Sarika


    We apply random matrix theory to complex networks. We show that nearest neighbor spacing distribution of the eigenvalues of the adjacency matrices of various model networks, namely scale-free, small-world, and random networks follow universal Gaussian orthogonal ensemble statistics of random matrix theory. Second, we show an analogy between the onset of small-world behavior, quantified by the structural properties of networks, and the transition from Poisson to Gaussian orthogonal ensemble statistics, quantified by Brody parameter characterizing a spectral property. We also present our analysis for a protein-protein interaction network in budding yeast.

  6. Fundamentals of matrix analysis with applications

    Saff, Edward Barry


    This book provides comprehensive coverage of matrix theory from a geometric and physical perspective, and the authors address the functionality of matrices and their ability to illustrate and aid in many practical applications.  Readers are introduced to inverses and eigenvalues through physical examples such as rotations, reflections, and projections, and only then are computational details described and explored.  MATLAB is utilized to aid in reader comprehension, and the authors are careful to address the issue of rank fragility so readers are not flummoxed when MATLAB displays conflict wit

  7. Training implementation matrix, Spent Nuclear Fuel Project (SNFP)

    EATON, G.L.


    This Training Implementation Matrix (TIM) describes how the Spent Nuclear Fuel Project (SNFP) implements the requirements of DOE Order 5480.20A, Personnel Selection, Qualification, and Training Requirements for Reactor and Non-Reactor Nuclear Facilities. The TIM defines the application of the selection, qualification, and training requirements in DOE Order 5480.20A at the SNFP. The TIM also describes the organization, planning, and administration of the SNFP training and qualification program(s) for which DOE Order 5480.20A applies. Also included is suitable justification for exceptions taken to any requirements contained in DOE Order 5480.20A. The goal of the SNFP training and qualification program is to ensure employees are capable of performing their jobs safely and efficiently.

  8. Google matrix analysis of directed networks

    Ermann, Leonardo; Shepelyansky, Dima L


    In past ten years, modern societies developed enormous communication and social networks. Their classification and information retrieval processing become a formidable task for the society. Due to the rapid growth of World Wide Web, social and communication networks, new mathematical methods have been invented to characterize the properties of these networks on a more detailed and precise level. Various search engines are essentially using such methods. It is highly important to develop new tools to classify and rank enormous amount of network information in a way adapted to internal network structures and characteristics. This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency on various examples including World Wide Web, Wikipedia, software architecture, world trade, social and citation networks, brain neural networks, DNA sequences and Ulam networks. The analytical and numerical matrix methods used in this analysis originate from the fields of Markov chain...

  9. HSAPS market analysis project

    Gloeckner, Ronny; Aaberg, Rolf Jarle


    The H-SAPS (Hydrogen Stand-Alone Power System) project, an EU project within the ALTENER programme in the period 2002-2004, was initiated to determine the potential for the introduction of environmentally benign hydrogen technology in what is believed to be a near-term market, namely stand-alone power systems (SAPS). The objective of the project was to examine the technological, political, social and economical factors affecting the emergence of hydrogen technology in the stand-alone power system market today and in the future. The scope of the project was limited to small and medium sized stand-alone power systems, up to a few hundred kilowatts (kW) power rating and based on renewable energy as the primary energy source. The work was divided into five phases: (1) Inception, (2) Data collection and analysis, (3) Market analysis and barrier removal, (4) Dissemination, and (5) Final report. Separate reports were written on these topics, and later summarised this final report. The H-SAPS-project identified the following critical technical barriers (in prioritized order): (1) High costs of both electrolyser and fuel cell solutions, (2) Short lifetime warranties and little lifetime experience for PEM electrolysers and PEM fuel cells, (3) Low energy efficiency of the hydrogen energy system (critical for small systems), and (4) The need to develop easy-to-use and energy efficient gas and electricity control systems. One of the main conclusions from the project is that there is a need to focus on interim solutions, based on conventional energy technologies (e.g., internal combustion engines instead of fuel cells), in order for H-SAPS to compete in the near-term SAPS-market (author) (ml)


    Curmei Catalin Valeriu


    Full Text Available In recent decades we have witnessed an unseen dynamism among companies, which is explained by their desire to engage in more activities that provide a high level of development and diversification. Thus, as companies are diversifying more and more, their managers confront a number of challenges arising from the management of resources for the product portfolio and the low level of resources with which companies can identify, at a time. Responding to these challenges, over time were developed a series of analytical product portfolio methods through which managers can balance the sources of cash flows from the multiple products and also can identify the place and role of products, in strategic terms, within the product portfolio. In order to identify these methods the authors of the present paper have conducted a desk research in order to analyze the strategic marketing and management literature of the last 2 decades. Widely were studied a series of methods that are presented in the marketing and management literature as the main instruments used within the product portfolio strategic planning process. Among these methods we focused on the Arthur D. Little matrix. Thus the present paper has the purpose to outline the characteristics and strategic implications of the ADL matrix within a company’s product portfolio. After conducting this analysis we have found that restricting the product portfolio analysis to the A.D.L. matrix is not a very wise decision. The A.D.L. matrix among with other marketing tools of product portfolio analysis have some advantages and disadvantages and is trying to provide, at a time, a specific diagnosis of a company’s product portfolio. Therefore, the recommendation for the Romanian managers consists in a combined use of a wide range of tools and techniques for product portfolio analysis. This leads to a better understanding of the whole mix of product markets, included in portfolio analysis, the strategic position

  11. On reducibility and ergodicity of population projection matrix models

    Stott, Iain; Townley, Stuart; Carslake, David


    1. Population projection matrices (PPMs) are probably the most commonly used empirical population models. To be useful for predictive or prospective analyses, PPM models should generally be irreducible (the associated life cycle graph contains the necessary transition rates to facilitate pathways...... structure used in the population projection). In our sample of published PPMs, 15·6% are non-ergodic. 3. This presents a problem: reducible–ergodic models often defy biological rationale in their description of the life cycle but may or may not prove problematic for analysis as they often behave similarly...... to irreducible models. Reducible–non-ergodic models will usually defy biological rationale in their description of the both the life cycle and population dynamics, hence contravening most analytical methods. 4. We provide simple methods to evaluate reducibility and ergodicity of PPM models, present illustrative...

  12. Perturbation analysis of nonlinear matrix population models

    Hal Caswell


    Full Text Available Perturbation analysis examines the response of a model to changes in its parameters. It is commonly applied to population growth rates calculated from linear models, but there has been no general approach to the analysis of nonlinear models. Nonlinearities in demographic models may arise due to density-dependence, frequency-dependence (in 2-sex models, feedback through the environment or the economy, and recruitment subsidy due to immigration, or from the scaling inherent in calculations of proportional population structure. This paper uses matrix calculus to derive the sensitivity and elasticity of equilibria, cycles, ratios (e.g. dependency ratios, age averages and variances, temporal averages and variances, life expectancies, and population growth rates, for both age-classified and stage-classified models. Examples are presented, applying the results to both human and non-human populations.

  13. Multifunctional Metal Matrix Composite Filament Wound Tank Liners Project

    National Aeronautics and Space Administration — Metal Matrix Composite (MMC) materials offer tremendous potential for lightweight propellant and pressurant tankage for space applications. Thin MMC liners for COPVs...

  14. Linear algebra and matrix analysis for statistics

    Banerjee, Sudipto


    Matrices, Vectors, and Their OperationsBasic definitions and notations Matrix addition and scalar-matrix multiplication Matrix multiplication Partitioned matricesThe ""trace"" of a square matrix Some special matricesSystems of Linear EquationsIntroduction Gaussian elimination Gauss-Jordan elimination Elementary matrices Homogeneous linear systems The inverse of a matrixMore on Linear EquationsThe LU decompositionCrout's Algorithm LU decomposition with row interchanges The LDU and Cholesky factorizations Inverse of partitioned matrices The LDU decomposition for partitioned matricesThe Sherman-W

  15. A matrix analysis of different centrality measures

    Benzi, Michele


    Node centrality measures including degree, eigenvector, Katz and subgraph centralities are analyzed for both undirected and directed networks. We show how parameter-dependent measures, such as Katz and subgraph centrality, can be "tuned" to interpolate between degree and eigenvector centrality, which appear as limiting cases of the other measures. We interpret our finding in terms of the local and global influence of a given node in the graph as measured by graph walks of different length through that node. Our analysis gives some guidance for the choice of parameters in Katz and subgraph centrality, and provides an explanation for the observed correlations between different centrality measures and for the stability exhibited by the ranking vectors for certain parameter ranges. The important role played by the spectral gap of the adjacency matrix is also highlighted.

  16. Image registration based on matrix perturbation analysis using spectral graph

    Chengcai Leng; Zheng Tian; Jing Li; Mingtao Ding


    @@ We present a novel perspective on characterizing the spectral correspondence between nodes of the weighted graph with application to image registration.It is based on matrix perturbation analysis on the spectral graph.The contribution may be divided into three parts.Firstly, the perturbation matrix is obtained by perturbing the matrix of graph model.Secondly, an orthogonal matrix is obtained based on an optimal parameter, which can better capture correspondence features.Thirdly, the optimal matching matrix is proposed by adjusting signs of orthogonal matrix for image registration.Experiments on both synthetic images and real-world images demonstrate the effectiveness and accuracy of the proposed method.

  17. Laser Assisted Machining of Metal Matrix Composites Project

    National Aeronautics and Space Administration — Metal matrix composites (MMC's) are of great interest in aerospace applications where their high specific strength provides a weight saving alternative to standard...

  18. Ultra-Low-Density (ULD) Polymer Matrix Composites (PMCs) Project

    National Aeronautics and Space Administration — This NASA Phase I SBIR proposal seeks to demonstrate a new class of ultra-low-density (ULD) polymer matrix composites of high specific modulus and specific strength...

  19. Design Concepts for Cooled Ceramic Matrix Composite Turbine Vanes Project

    National Aeronautics and Space Administration — The work proposed herein is to demonstrate that the higher temperature capabilities of Ceramic Matrix Composites (CMC) can be fully utilized to reduce emissions and...

  20. The sensitivity analysis of population projections

    Hal Caswell


    Full Text Available Background: Population projections using the cohort component method can be written as time-varyingmatrix population models. The matrices are parameterized by schedules of mortality, fertility,immigration, and emigration over the duration of the projection. A variety of dependentvariables are routinely calculated (the population vector, various weighted population sizes, dependency ratios, etc. from such projections. Objective: Our goal is to derive and apply theory to compute the sensitivity and the elasticity (proportional sensitivity of any projection outcome to changes in any of the parameters, where those changes are applied at any time during the projection interval. Methods: We use matrix calculus to derive a set of equations for the sensitivity and elasticity of any vector valued outcome ξ(t at time t to any perturbation of a parameter vector Ɵ(s at anytime s. Results: The results appear in the form of a set of dynamic equations for the derivatives that areintegrated in parallel with the dynamic equations for the projection itself. We show resultsfor single-sex projections and for the more detailed case of projections including age distributions for both sexes. We apply the results to a projection of the population of Spain, from 2012 to 2052, prepared by the Instituto Nacional de Estadística, and determine the sensitivity and elasticity of (1 total population, (2 the school-age population, (3 the population subject to dementia, (4 the total dependency ratio, and (5 the economicsupport ratio. Conclusions: Writing population projections in matrix form makes sensitivity analysis possible. Such analyses are a powerful tool for the exploration of how detailed aspects of the projectionoutput are determined by the mortality, fertility, and migration schedules that underlie theprojection.

  1. Exploratory matrix factorization for PET image analysis.

    Kodewitz, A; Keck, I R; Tomé, A M; Lang, E W


    Features are extracted from PET images employing exploratory matrix factorization techniques such as nonnegative matrix factorization (NMF). Appropriate features are fed into classifiers such as a support vector machine or a random forest tree classifier. An automatic feature extraction and classification is achieved with high classification rate which is robust and reliable and can help in an early diagnosis of Alzheimer's disease.

  2. Topological, smooth and holomorphic classifications of nonautonomous linear differential systems and projective matrix Riccati equations

    Gorbuzov, V N


    The questions of global topological, smooth and holomorphic classifications of the differential systems, defined by covering foliations, are considered. The received results are applied to nonautonomous linear differential systems and projective matrix Riccati equations.

  3. Perturbative analysis of gauged matrix models

    Dijkgraaf, Robbert; Gukov, Sergei; Kazakov, Vladimir A.; Vafa, Cumrun


    We analyze perturbative aspects of gauged matrix models, including those where classically the gauge symmetry is partially broken. Ghost fields play a crucial role in the Feynman rules for these vacua. We use this formalism to elucidate the fact that nonperturbative aspects of N=1 gauge theories can be computed systematically using perturbative techniques of matrix models, even if we do not possess an exact solution for the matrix model. As examples we show how the Seiberg-Witten solution for N=2 gauge theory, the Montonen-Olive modular invariance for N=1*, and the superpotential for the Leigh-Strassler deformation of N=4 can be systematically computed in perturbation theory of the matrix model or gauge theory (even though in some of these cases an exact answer can also be obtained by summing up planar diagrams of matrix models).

  4. Perturbative Analysis of Gauged Matrix Models

    Dijkgraaf, R; Kazakov, V A; Vafa, C; Dijkgraaf, Robbert; Gukov, Sergei; Kazakov, Vladimir A.; Vafa, Cumrun


    We analyze perturbative aspects of gauged matrix models, including those where classically the gauge symmetry is partially broken. Ghost fields play a crucial role in the Feynman rules for these vacua. We use this formalism to elucidate the fact that non-perturbative aspects of N=1 gauge theories can be computed systematically using perturbative techniques of matrix models, even if we do not possess an exact solution for the matrix model. As examples we show how the Seiberg-Witten solution for N=2 gauge theory, the Montonen-Olive modular invariance for N=1*, and the superpotential for the Leigh-Strassler deformation of N=4 can be systematically computed in perturbation theory of the matrix model/gauge theory (even though in some of these cases the exact answer can also be obtained by summing up planar diagrams of matrix models).

  5. Digraph matrix analysis applications to systems interactions

    Alesso, H.P.; Altenbach, T.; Lappa, D.; Kimura, C.; Sacks, I.J.; Ashmore, B.C.; Fromme, D.; Smith, C.F.; Williams, W.


    Complex events such as Three Mile Island-2, Brown's Ferry-3 and Crystal River-3 have demonstrated that previously unidentified system interdependencies can be important to safety. A major aspect of these events was dependent faults (common cause/mode failures). The term systems interactions has been introduced by the Nuclear Regulatory Commission (NRC) to identify the concepts of spatial and functional coupling of systems which can lead to system interdependencies. Spatial coupling refers to dependencies resulting from a shared environmental condition; functional coupling refers to both dependencies resulting from components shared between safety and/or support systems, and to dependencies involving human actions. The NRC is currently developing guidelines to search for and evaluate adverse systems interactions at light water reactors. One approach utilizes graph theoretical methods and is called digraph matrix analysis (DMA). This methodology has been specifically tuned to the systems interaction problem. The objective of this paper is to present results from two DMA applications and to contrast them with the results from more traditional fault tree approaches.

  6. Project Planning: An Analysis

    Dr.S.S.Riaz Ahamed


    Full Text Available The purpose of the Planning stage is to analyze the project in terms of work breakdown, cost, resources, and timing. At the end of this stage all team members should be clear on the sub tasks and deliverables with the project, the time constraints they are working too and the roles and responsibilities that are expected from them.Software Project Plan defines what the work is, and how this work can be completed. This plan is developed at the beginning of the software project and is continually refined and improved as the work rocesses. It can be useful to management as a frame work for review and control the process of developing the software. Additionally, the Software Project Plan can define each of the major tasks and estimate the time and resources that are required to complete these tasks.

  7. Solar Projects Analysis using Sensol

    Relloso, S.; Domingo, M.


    In the recent years, SENER has developed a new software tool for solar projects analysis, named SENSOL. This tool can perform production calculations as well as economic analysis of the project, taking in account both plant operating and electricity selling strategies. This software can be applied to a variety of technologies: Central Receiver System, Parabolic Trough Technology, Photovoltaic Plants and Beam Down System. (Author)

  8. A framework for studying transient dynamics of population projection matrix models

    Stott, Iain; Townley, Stuart; Hodgson, David James


    arise even from simple models following ecological disturbances or perturbations. Recent interest in such transient dynamics has led to diverse methodologies for their quantification in density-independent, time-invariant population projection matrix (PPM) models, but the fragmented nature...... of this literature has stifled the widespread analysis of transients. We review the literature on transient analyses of linear PPM models and synthesise a coherent framework. We promote the use of standardised indices, and categorise indices according to their focus on either convergence times or transient...... population density, and on either transient bounds or case-specific transient dynamics. We use a large database of empirical PPM models to explore relationships between indices of transient dynamics. This analysis promotes the use of population inertia as a simple, versatile and informative predictor...

  9. Analysis of Multi-Stakeholder Requirements Using Requirement Interaction Matrix

    Rohayanti Hassan


    Full Text Available Software requirements engineering is an imperative phase in the software development life cycle in every project regardless of the project size. In a project, different people are involved in the requirements engineering process, including requirement engineers, stakeholders, end users, and system designers. Amongst them, stakeholders play an essential role. Differences in goals and priorities of multiple stakeholders would make requirements management complex and difficult, which is a huge challenge for requirement engineers. From time to time, new requirements emerge and existing requirements need changes to fulfil stakeholders’ goals. Thus, such situation leads to high requirements volatility and low stability which causes overlapping and conflicting of requirements. The correctness and validity of requirements are of paramount importance as they are the key factors toward a successful system. A deep understanding of requirement management technique that conforms to users’ needs is crucial. Such technique of the concept is applied to the Labour Management System. In this study, we have discussed the implementation of analysis of multi-stakeholder requirements using requirement interaction matrix in the f. The study used real requirements to yield a solid and dependable result. We have documented the requirements using a template and assessed their respective volatility level. An algorithm is constructed to   show   that   the   technique has managed to minimize   the time   used   when   checking requirements.

  10. International Conference on Matrix Analysis and its Applications 2015


    This volume presents recent advances in the field of matrix analysis based on contributions at the MAT-TRIAD 2015 conference. Topics covered include interval linear algebra and computational complexity, Birkhoff polynomial basis, tensors, graphs, linear pencils, K-theory and statistic inference, showing the ubiquity of matrices in different mathematical areas. With a particular focus on matrix and operator theory, statistical models and computation, the International Conference on Matrix Analysis and its Applications 2015, held in Coimbra, Portugal, was the sixth in a series of conferences. Applied and Computational Matrix Analysis will appeal to graduate students and researchers in theoretical and applied mathematics, physics and engineering who are seeking an overview of recent problems and methods in matrix analysis.

  11. Differential analysis of matrix convex functions

    Hansen, Frank; Tomiyama, Jun


    We analyze matrix convex functions of a fixed order defined in a real interval by differential methods as opposed to the characterization in terms of divided differences given by Kraus [F. Kraus, Über konvekse Matrixfunktionen, Math. Z. 41 (1936) 18-42]. We obtain for each order conditions for ma...

  12. Rotordynamic Analysis with Shell Elements for the Transfer Matrix Method


    jACCESSION NO. 11. TITLE (Include Security Classification) (UNCLASSIFIED) ROTORDYNAMIC ANALYSIS WITH SHELL ELEMENTS FOR THE TRANSFER MATRIX METHOD 12...SECURITY CLASSIFICATION OF THIS PAGE AFIT/CI "OVERPRINT" iii ABSTRACT Rotordynamic Analysis with Shell Elements for the Transfer Matrix Method. (August...analysts in indus- try . ’ . ," Accesiu:, For NTIS CR,4i Fi FilC TA,: [3 0. fi A-1 B I ., ,.................. ,., ROTORDYNAMIC ANALYSIS WITH SHELL ELEMENTS

  13. Reliability analysis of ceramic matrix composite laminates

    Thomas, David J.; Wetherhold, Robert C.


    At a macroscopic level, a composite lamina may be considered as a homogeneous orthotropic solid whose directional strengths are random variables. Incorporation of these random variable strengths into failure models, either interactive or non-interactive, allows for the evaluation of the lamina reliability under a given stress state. Using a non-interactive criterion for demonstration purposes, laminate reliabilities are calculated assuming previously established load sharing rules for the redistribution of load as the failure of laminae occur. The matrix cracking predicted by ACK theory is modeled to allow a loss of stiffness in the fiber direction. The subsequent failure in the fiber direction is controlled by a modified bundle theory. Results using this modified bundle model are compared with previous models which did not permit separate consideration of matrix cracking, as well as to results obtained from experimental data.

  14. Random matrix analysis of complex networks.

    Jalan, Sarika; Bandyopadhyay, Jayendra N


    We study complex networks under random matrix theory (RMT) framework. Using nearest-neighbor and next-nearest-neighbor spacing distributions we analyze the eigenvalues of the adjacency matrix of various model networks, namely, random, scale-free, and small-world networks. These distributions follow the Gaussian orthogonal ensemble statistic of RMT. To probe long-range correlations in the eigenvalues we study spectral rigidity via the Delta_{3} statistic of RMT as well. It follows RMT prediction of linear behavior in semilogarithmic scale with the slope being approximately 1pi;{2} . Random and scale-free networks follow RMT prediction for very large scale. A small-world network follows it for sufficiently large scale, but much less than the random and scale-free networks.

  15. Matrix-based introduction to multivariate data analysis

    Adachi, Kohei


    This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on ...

  16. Benchmarking in water project analysis

    Griffin, Ronald C.


    The with/without principle of cost-benefit analysis is examined for the possible bias that it brings to water resource planning. Theory and examples for this question are established. Because benchmarking against the demonstrably low without-project hurdle can detract from economic welfare and can fail to promote efficient policy, improvement opportunities are investigated. In lieu of the traditional, without-project benchmark, a second-best-based "difference-making benchmark" is proposed. The project authorizations and modified review processes instituted by the U.S. Water Resources Development Act of 2007 may provide for renewed interest in these findings.

  17. Random matrix analysis of localization properties of gene coexpression network.

    Jalan, Sarika; Solymosi, Norbert; Vattay, Gábor; Li, Baowen


    We analyze gene coexpression network under the random matrix theory framework. The nearest-neighbor spacing distribution of the adjacency matrix of this network follows Gaussian orthogonal statistics of random matrix theory (RMT). Spectral rigidity test follows random matrix prediction for a certain range and deviates afterwards. Eigenvector analysis of the network using inverse participation ratio suggests that the statistics of bulk of the eigenvalues of network is consistent with those of the real symmetric random matrix, whereas few eigenvalues are localized. Based on these IPR calculations, we can divide eigenvalues in three sets: (a) The nondegenerate part that follows RMT. (b) The nondegenerate part, at both ends and at intermediate eigenvalues, which deviates from RMT and expected to contain information about important nodes in the network. (c) The degenerate part with zero eigenvalue, which fluctuates around RMT-predicted value. We identify nodes corresponding to the dominant modes of the corresponding eigenvectors and analyze their structural properties.

  18. Atom column indexing: atomic resolution image analysis through a matrix representation.

    Sang, Xiahan; Oni, Adedapo A; LeBeau, James M


    Here, we report the development of an approach to map atomic resolution images into a convenient matrix representation. Through the combination of two-dimensional Gaussian fitting and the projective standard deviation, atom column locations are projected onto two noncollinear reference lattice vectors that are used to assign each a unique (i, j) matrix index. By doing so, straightforward atomic resolution image analysis becomes possible. Using practical examples, we demonstrate that the matrix representation greatly simplifies categorizing atom columns to different sublattices. This enables a myriad of direct analyses, such as mapping atom column properties and correlating long-range atom column pairs. MATLAB source code can be downloaded from

  19. The Projection Method for Reaching Consensus and the Regularized Power Limit of a Stochastic Matrix

    Agaev, R P


    In the coordination/consensus problem for multi-agent systems, a well-known condition of achieving consensus is the presence of a spanning arborescence in the communication digraph. The paper deals with the discrete consensus problem in the case where this condition is not satisfied. A characterization of the subspace $T_P$ of initial opinions (where $P$ is the influence matrix) that \\emph{ensure} consensus in the DeGroot model is given. We propose a method of coordination that consists of: (1) the transformation of the vector of initial opinions into a vector belonging to $T_P$ by orthogonal projection and (2) subsequent iterations of the transformation $P.$ The properties of this method are studied. It is shown that for any non-periodic stochastic matrix $P,$ the resulting matrix of the orthogonal projection method can be treated as a regularized power limit of $P.$

  20. Trade Space Analysis: Rotational Analyst Research Project


    TRAC-M-TR-15-028 September 2015 Trade Space Analysis: Rotational Analyst Research Project TRADOC Analysis...PAGE INTENTIONALLY LEFT BLANK TRAC-M-TR-15-028 September 2015 Trade Space Analysis: Rotational Analyst Research Project...NUMBERS Trade Space Analysis : Rotational Analyst Research Project TRAC Project Code 060128 6. AUTHOR(S) Kirstin D Smead 7. PERFORMING

  1. Measuring biotechnology employees' ethical attitudes towards a controversial transgenic cattle project: the ethical valance matrix.

    Small, Bruce H; Fisher, Mark W


    What is the relationship between biotechnology employees' beliefs about the moral outcomes of a controversial transgenic research project and their attitudes of acceptance towards the project? To answer this question, employees (n=466) of a New Zealand company, AgResearch Ltd., were surveyed regarding a project to create transgenic cattle containing a synthetic copy of the human myelin basic protein gene (hMBP). Although diversity existed amongst employees' attitudes of acceptance, they were generally: in favor of the project, believed that it should be allowed to proceed to completion, and that it is acceptable to use transgenic cattle to produce medicines for humans. These three items were aggregated to form a project acceptance score. Scales were developed to measure respondents' beliefs about the moral outcomes of the project for identified stakeholders in terms of the four principles of common morality (benefit, non-harm, justice, and autonomy). These data were statistically aggregated into an Ethical Valence Matrix fo the project. The respondents' project Ethical Valence Scores correlated significantly with their project acceptance scores (r=0.64, pbiotechnology organization, ethical reasoning could be a central mechanism for the evaluation of the acceptability of a project. We propose that the Ethical Valence Matrix may be used as a tool to measure ethical attitudes towards controversial issues, providing a metric for comparison of perceived ethical consequences for multiple stakeholder groups and for the evaluation and comparison of the ethical consequences of competing alternative issues or projects. The tool could be used to measure both public and special interest groups' ethical attitudes and results used for the development of socially responsible policy or by science organizations as a democratizing decision aid to selection amongst projects competing for scarce research funds.

  2. A comparative analysis of viral matrix proteins using disorder predictors

    Dunker A Keith


    Full Text Available Abstract Background A previous study (Goh G.K.-M., Dunker A.K., Uversky V.N. (2008 Protein intrinsic disorder toolbox for comparative analysis of viral proteins. BMC Genomics. 9 (Suppl. 2, S4 revealed that HIV matrix protein p17 possesses especially high levels of predicted intrinsic disorder (PID. In this study, we analyzed the PID patterns in matrix proteins of viruses related and unrelated to HIV-1. Results Both SIVmac and HIV-1 p17 proteins were predicted by PONDR VLXT to be highly disordered with subtle differences containing 50% and 60% disordered residues, respectively. SIVmac is very closely related to HIV-2. A specific region that is predicted to be disordered in HIV-1 is missing in SIVmac. The distributions of PID patterns seem to differ in SIVmac and HIV-1 p17 proteins. A high level of PID for the matrix does not seem to be mandatory for retroviruses, since Equine Infectious Anemia Virus (EIAV, an HIV cousin, has been predicted to have low PID level for the matrix; i.e. its matrix protein p15 contains only 21% PID residues. Surprisingly, the PID percentage and the pattern of predicted disorder distribution for p15 resemble those of the influenza matrix protein M1 (25%. Conclusion Our data might have important implications in the search for HIV vaccines since disorder in the matrix protein might provide a mechanism for immune evasion.

  3. Economic Analysis of World Bank Education Projects and Project Outcomes

    Vawda, Ayesha Yaqub; Moock, Peter; Gittinger, J. Price; Patrinos, Harry Anthony


    This paper tests the hypothesis that World Bank education projects have a higher likelihood of being successful if at the time of appraisal, they underwent good quality economic analysis. Analysis shows a strong relationship between the quality of cost-benefit analysis and cost-effectiveness analysis and the quality of project outcomes. Economic…

  4. The sensitivity analysis of population projections

    Caswell, H.; Sánchez Gassen, N.


    Background Population projections using the cohort component method can be written as time-varying matrix population models. The matrices are parameterized by schedules of mortality, fertility, immigration, and emigration over the duration of the projection. A variety of dependent variables are

  5. Matrix methods for bare resonator eigenvalue analysis.

    Latham, W P; Dente, G C


    Bare resonator eigenvalues have traditionally been calculated using Fox and Li iterative techniques or the Prony method presented by Siegman and Miller. A theoretical framework for bare resonator eigenvalue analysis is presented. Several new methods are given and compared with the Prony method.

  6. Management of investment-construction projects basing on the matrix of key events

    Morozenko Andrey Aleksandrovich


    Full Text Available The article considers the current problematic issues in the management of investment-construction projects, examines the questions of efficiency increase of construction operations on the basis of the formation of a reflex-adaptive organizational structure. The authors analyzed the necessity of forming a matrix of key events in the investment-construction project (ICP, which will create the optimal structure of the project, basing on the work program for its implementation. For convenience of representing programs of the project implementation in time the authors make recommendations to consolidate the works into separate, economically independent functional blocks. It is proposed to use an algorithm of forming the matrix of an investment-construction project, considering the economic independence of the functional blocks and stages of the ICP implementation. The use of extended network model is justified, which is supplemented by organizational and structural constraints at different stages of the project, highlighting key events fundamentally influencing the further course of the ICP implementation.

  7. Matrix properties relating to stability analysis

    Di Caprio, U. [ENEL s.p.a., Cologno Monzese (Italy)


    With reference to a multimachine power system are presented properties and conditions to be satisfied by matrices M, K, D (inertia coefficients, synchronizing coefficients and damping coefficients) in order that the system can be stable. The analysis is carried out with the assumption that the transfer-conductances are negligible while the damping effects (of the field and damper circuits) are taken into account. The formulation is general, i.e. it can be applied to any system with n degrees of freedom, subjected to conservative positional forces and to dissipative forces linearly dependent upon the speed. (author)

  8. General Electric Company proposed demonstration Projects Matrix, commercial buildings, National Solar Demonstration Program



    The requirements for selecting commercial demonstrations are derived from the overall goal of the Federal program as stated in the ''National Program for Solar Heating and Cooling,'' ERDA 23-A, October 1975. This goal is to stimulate an industrial and commercial capability for producing and distributing solar heating and cooling (SHAC) systems. The development of the demonstration matrix consists of establishing selection criteria and developing a methodology for applying and evaluating these criteria. The output of this procedure results in a time phased matrix of location, SHAC systems, and building types which comprise the recommended National Solar Demonstration projects for commercial buildings. The Demonstration Matrix Definition is comprised of three principle elements: Demonstration identification; Specific Demonstration selection criteria; and Architect/Engineer (A/E) selection. (WDM)

  9. Proteomic analysis of sea urchin (Strongylocentrotus purpuratus spicule matrix

    Poustka Albert J


    tissue-specific proteins, such as tooth phosphodontin or specific spicule matrix metalloproteases of the MMP18/19 group. Furthermore, the direct sequence analysis of peptides by MS/MS validates many predicted genes and confirms the existence of the corresponding proteins.

  10. Projected gradient algorithms for Hartree-Fock and density matrix functional theory calculations

    Cancès, Eric; Pernal, Katarzyna


    We present projected gradient algorithms designed for optimizing various functionals defined on the set of N-representable one-electron reduced density matrices. We show that projected gradient algorithms are efficient in minimizing the Hartree-Fock or the Müller-Buijse-Baerends functional. On the other hand, they converge very slowly when applied to the recently proposed BBk (k =1,2,3) functionals [O. Gritsenko et al., J. Chem. Phys. 122, 204102 (2005)]. This is due to the fact that the BBk functionals are not proper functionals of the density matrix.

  11. University Organization. A Matrix Analysis of the Academic Professions.

    Bess, James L.

    Using the latest research instruments, including questionnaires, interviews, factor analysis, and matrix construction, the present restraints on professorial effectiveness and the contributions of departmental and university structures to professorial malaise is examined for the purpose of improving ways that administrators can increase faculty…

  12. An Analysis of Variance Framework for Matrix Sampling.

    Sirotnik, Kenneth

    Significant cost savings can be achieved with the use of matrix sampling in estimating population parameters from psychometric data. The statistical design is intuitively simple, using the framework of the two-way classification analysis of variance technique. For example, the mean and variance are derived from the performance of a certain grade…

  13. Development of the Verification and Validation Matrix for Safety Analysis Code SPACE

    Kim, Yo Han; Ha, Sang Jun; Yang, Chang Keun [Korea Electric Power Research Institute, Daejeon (Korea, Republic of)


    Korea Electric Power Research Institute (KEPRI) has been developed the safety analysis code, called as SPACE (Safety and Performance Analysis CodE for Nuclear Power Plant), for typical pressurized water reactors (PWR). Current safety analysis codes were conducted from foreign vendors, such as Westinghouse Electric Corp., ABB Combustion Engineering Inc., Kraftwerk Union, etc. Considering the conservatism and inflexibility of the foreign code systems, it is difficult to expand the application areas and analysis scopes. To overcome the mentioned problems KEPRI has launched the project to develop the native safety analysis code with Korea Power Engineering Co.(KOPEC), Korea Atomic Energy Research Inst.(KAERI), Korea Nuclear Fuel(KNF), and Korea Hydro and Nuclear Power Co.(KHNP) under the funding of Ministry of Knowledge Economy (MKE). As a result of the project, the demo-version of SPACE has been released in July 2009. As an advance preparation of the next step, KEPRI and colleagues have developed the verification and validation (V and V) matrix for SPACE. To develop the matrix, the preceding studies and experiments were reviewed. After mature consideration, the V and V matrix has been developed and the experiment plans were designed for the next step to compensate the lack of data.

  14. Statistical analysis of effective singular values in matrix rank determination

    Konstantinides, Konstantinos; Yao, Kung


    A major problem in using SVD (singular-value decomposition) as a tool in determining the effective rank of a perturbed matrix is that of distinguishing between significantly small and significantly large singular values to the end, conference regions are derived for the perturbed singular values of matrices with noisy observation data. The analysis is based on the theories of perturbations of singular values and statistical significance test. Threshold bounds for perturbation due to finite-precision and i.i.d. random models are evaluated. In random models, the threshold bounds depend on the dimension of the matrix, the noisy variance, and predefined statistical level of significance. Results applied to the problem of determining the effective order of a linear autoregressive system from the approximate rank of a sample autocorrelation matrix are considered. Various numerical examples illustrating the usefulness of these bounds and comparisons to other previously known approaches are given.

  15. Analysis of Nonlinear Dynamics by Square Matrix Method

    Yu, Li Hua [Brookhaven National Lab. (BNL), Upton, NY (United States). Energy and Photon Sciences Directorate. National Synchrotron Light Source II


    The nonlinear dynamics of a system with periodic structure can be analyzed using a square matrix. In this paper, we show that because the special property of the square matrix constructed for nonlinear dynamics, we can reduce the dimension of the matrix from the original large number for high order calculation to low dimension in the first step of the analysis. Then a stable Jordan decomposition is obtained with much lower dimension. The transformation to Jordan form provides an excellent action-angle approximation to the solution of the nonlinear dynamics, in good agreement with trajectories and tune obtained from tracking. And more importantly, the deviation from constancy of the new action-angle variable provides a measure of the stability of the phase space trajectories and their tunes. Thus the square matrix provides a novel method to optimize the nonlinear dynamic system. The method is illustrated by many examples of comparison between theory and numerical simulation. Finally, in particular, we show that the square matrix method can be used for optimization to reduce the nonlinearity of a system.

  16. Mueller matrix polarimetry imaging for breast cancer analysis (Conference Presentation)

    Gribble, Adam; Vitkin, Alex


    Polarized light has many applications in biomedical imaging. The interaction of a biological sample with polarized light reveals information about its biological composition, both structural and functional. The most comprehensive type of polarimetry analysis is to measure the Mueller matrix, a polarization transfer function that completely describes how a sample interacts with polarized light. However, determination of the Mueller matrix requires tissue analysis under many different states of polarized light; a time consuming and measurement intensive process. Here we address this limitation with a new rapid polarimetry system, and use this polarimetry platform to investigate a variety of tissue changes associated with breast cancer. We have recently developed a rapid polarimetry imaging platform based on four photoelastic modulators (PEMs). The PEMs generate fast polarization modulations that allow the complete sample Mueller matrix to be imaged over a large field of view, with no moving parts. This polarimetry system is then demonstrated to be sensitive to a variety of tissue changes that are relevant to breast cancer. Specifically, we show that changes in depolarization can reveal tumor margins, and can differentiate between viable and necrotic breast cancer metastasized to the lymph nodes. Furthermore, the polarimetric property of linear retardance (related to birefringence) is dependent on collagen organization in the extracellular matrix. These findings indicate that our polarimetry platform may have future applications in fields such as breast cancer diagnosis, improving the speed and efficacy of intraoperative pathology, and providing prognostic information that may be beneficial for guiding treatment.

  17. User-inspired design methodology using Affordance Structure Matrix (ASM for construction projects

    Maheswari J. Uma


    Full Text Available Traditionally, design phase of construction projects is often performed with incomplete and inaccurate user preferences. This is due to inefficiencies in the methodologies used for capturing the user requirements that can subsequently lead to inconsistencies and result in non-optimised end-result. Iterations and subsequent reworks due to such design inefficiencies is one of the major reasons for unsuccessful project delivery as they impact project performance measures such as time and cost among others. The existing design theories and practice are primarily based on functional requirements. Function-based design deals with design of artifact alone, which may yield favourable or unfavourable consequences with the design artifact. However, incorporating other interactions such as interactions between user & designer is necessary for optimised end-result. Hence, the objective of this research work is to devise a systematic design methodology considering all the three interactions among users, designers and artefacts for improved design efficiency. In this study, it has been attempted to apply the theory of affordances in a case project that involves the design of an offshore facility. A step-by-step methodology for developing Affordance Structure Matrix (ASM, which integrates House of Quality (HOQ and Design Structure Matrix (DSM, is proposed that can effectively capture the user requirements. HOQ is a popular quality management tool for capturing client requirements and DSM is a matrix-based tool that can capture the interdependency among the design entities. The proposed methodology utilises the strengths of both the tools, as DSM compliments HOQ in the process. In this methodology, different affordances such as AUA (Artifact-User-Affordance, AAA (Artifact-Artifact-Affordance and DDA (Designer-Designer-Affordance are captured systematically. Affordance is considered to be user-driven in this context that is in contrast to prevailing design

  18. Google matrix analysis of C.elegans neural network

    Kandiah, Vivek


    We study the structural properties of the neural network of the C.elegans (worm) from a directed graph point of view. The Google matrix analysis is used to characterize the neuron connectivity structure and node classifications are discussed and compared with physiological properties of the cells. Our results are obtained by a proper definition of neural directed network and subsequent eigenvector analysis which recovers some results of previous studies. Our analysis highlights particular sets of important neurons constituting the core of the neural system. The applications of PageRank, CheiRank and ImpactRank to characterization of interdependency of neurons are discussed.

  19. Google matrix analysis of C.elegans neural network

    Kandiah, V., E-mail:; Shepelyansky, D.L., E-mail:


    We study the structural properties of the neural network of the C.elegans (worm) from a directed graph point of view. The Google matrix analysis is used to characterize the neuron connectivity structure and node classifications are discussed and compared with physiological properties of the cells. Our results are obtained by a proper definition of neural directed network and subsequent eigenvector analysis which recovers some results of previous studies. Our analysis highlights particular sets of important neurons constituting the core of the neural system. The applications of PageRank, CheiRank and ImpactRank to characterization of interdependency of neurons are discussed.

  20. MIMAC: A micro-tpc matrix project for directional detection of dark matter

    Santos, D; Bosson, G; Bouly, J L; Bourrion, O; Fourel, Ch; Guillaudin, O; Mayet, F; Richer, J P; Delbart, A; Ferrer, E; Giomataris, I; Iguaz, F J; Mols, J P; Golabek, C; Lebreton, L


    Directional detection of non-baryonic DarkMatter is a promising search strategy for discriminating WIMP events from background ones. This strategy requires both a measurement of the recoil energy down to a few keV and 3D reconstruction of tracks down to a few mm. The MIMAC project, based on a micro-TPC matrix, filled with CF4 and CHF3 is being developed. The first results of a chamber prototype of this matrix, on low energy nuclear recoils (1H and 19F) obtained with mono-energetic neutron fields are presented. The discovery potential of this search strategy is illustrated by a realistic case accessible to MIMAC.

  1. Dynamic SPECT reconstruction from few projections: a sparsity enforced matrix factorization approach

    Ding, Qiaoqiao; Zan, Yunlong; Huang, Qiu; Zhang, Xiaoqun


    The reconstruction of dynamic images from few projection data is a challenging problem, especially when noise is present and when the dynamic images are vary fast. In this paper, we propose a variational model, sparsity enforced matrix factorization (SEMF), based on low rank matrix factorization of unknown images and enforced sparsity constraints for representing both coefficients and bases. The proposed model is solved via an alternating iterative scheme for which each subproblem is convex and involves the efficient alternating direction method of multipliers (ADMM). The convergence of the overall alternating scheme for the nonconvex problem relies upon the Kurdyka-Łojasiewicz property, recently studied by Attouch et al (2010 Math. Oper. Res. 35 438) and Attouch et al (2013 Math. Program. 137 91). Finally our proof-of-concept simulation on 2D dynamic images shows the advantage of the proposed method compared to conventional methods.

  2. Rate Dependent Deformation and Strength Analysis of Polymer Matrix Composites

    Goldberg, Robert K.; Stouffer, Donald C.


    A research program is being undertaken to develop rate dependent deformation and failure models for the analysis of polymer matrix composite materials. In previous work in this program, strain-rate dependent inelastic constitutive equations used to analyze polymers have been implemented into a mechanics of materials based composite micromechanics method. In the current work, modifications to the micromechanics model have been implemented to improve the calculation of the effective inelastic strain. Additionally, modifications to the polymer constitutive model are discussed in which pressure dependence is incorporated into the equations in order to improve the calculation of constituent and composite shear stresses. The Hashin failure criterion is implemented into the analysis method to allow for the calculation of ply level failure stresses. The deformation response and failure stresses for two representative uniaxial polymer matrix composites, IM7/977-2 and AS4-PEEK, are predicted for varying strain rates and fiber orientations. The predicted results compare favorably to experimentally obtained values.

  3. Nonnegative matrix factorization for the identification of EMG finger movements: evaluation using matrix analysis.

    Naik, Ganesh R; Nguyen, Hung T


    Surface electromyography (sEMG) is widely used in evaluating the functional status of the hand to assist in hand gesture recognition, prosthetics and rehabilitation applications. The sEMG is a noninvasive, easy to record signal of superficial muscles from the skin surface. Considering the nonstationary characteristics of sEMG, recent feature selection of hand gesture recognition using sEMG signals necessitate designers to use nonnegative matrix factorization (NMF)-based methods. This method exploits both the additive and sparse nature of signals by extracting accurate and reliable measurements of sEMG features using a minimum number of sensors. The testing has been conducted for simple and complex finger flexions using several experiments with artificial neural network classification scheme. It is shown, both by simulation and experimental studies, that the proposed algorithm is able to classify ten finger flexions (five simple and five complex finger flexions) recorded from two sEMG sensors up to 92% (95% for simple and 87% for complex flexions) accuracy. The recognition performances of simple and complex finger flexions are also validated with NMF permutation matrix analysis.

  4. A practical introduction to tensor networks: Matrix product states and projected entangled pair states

    Orús, Román


    This is a partly non-technical introduction to selected topics on tensor network methods, based on several lectures and introductory seminars given on the subject. It should be a good place for newcomers to get familiarized with some of the key ideas in the field, specially regarding the numerics. After a very general introduction we motivate the concept of tensor network and provide several examples. We then move on to explain some basics about Matrix Product States (MPS) and Projected Entangled Pair States (PEPS). Selected details on some of the associated numerical methods for 1d and 2d quantum lattice systems are also discussed.

  5. Numerical analysis on thermal drilling of aluminum metal matrix composite

    Hynes, N. Rajesh Jesudoss; Maheshwaran, M. V.


    The work-material deformation is very large and both the tool and workpiece temperatures are high in thermal drilling. Modeling is a necessary tool to understand the material flow, temperatures, stress, and strains, which are difficult to measure experimentally during thermal drilling. The numerical analysis of thermal drilling process of aluminum metal matrix composite has been done in the present work. In this analysis the heat flux of different stages is calculated. The calculated heat flux is applied on the surface of work piece and thermal distribution is predicted in different stages during the thermal drilling process.

  6. Stochastic Plane Stress Analysis with Elementary Stiffness Matrix Decomposition Method

    Er, G. K.; Wang, M. C.; Iu, V. P.; Kou, K. P.


    In this study, the efficient analytical method named elementary stiffness matrix decomposition (ESMD) method is further investigated and utilized for the moment evaluation of stochastic plane stress problems in comparison with the conventional perturbation method in stochastic finite element analysis. In order to evaluate the performance of this method, computer programs are written and some numerical results about stochastic plane stress problems are obtained. The numerical analysis shows that the computational efficiency is much increased and the computer EMS memory requirement can be much reduced by using ESMD method.

  7. Matrix method analysis of quantum Hall effect device connections

    Ortolano, M.; Callegaro, L.


    The modelling of electrical connections of single, or several, multiterminal quantum Hall effect (QHE) devices is relevant for electrical metrology: it is known, in fact, that certain particular connections allow (i) the realization of multiples or fractions of the quantized resistance, or (ii) the rejection of stray impedances, so that the configuration maintains the status of quantum standard. Ricketts-Kemeny and Delahaye equivalent circuits are known to be accurate models of the QHE: however, the numerical or analytical solution of electrical networks including these equivalent circuits can be difficult. In this paper, we introduce a method of analysis based on the representation of a QHE device by means of the indefinite admittance matrix: external connections are then represented with another matrix, easily written by inspection. Some examples, including the solution of double- and triple-series connections, are shown.

  8. Matrix method analysis of quantum Hall effect device connections

    Ortolano, Massimo


    The modelling of electrical connections of single, or several, multiterminal quantum Hall effect (QHE) devices is relevant for electrical metrology: it is known, in fact, that certain particular connections allow i) the realization of multiples or fractions of the quantised resistance, or ii) the rejection of stray impedances, so that the configuration maintains the status of quantum standard. Ricketts-Kemeny and Delahaye equivalent circuits are known to be accurate models of the QHE: however, the numerical or analytical solution of electrical networks including these equivalent circuits can be difficult. In this paper, we introduce a method of analysis based on the representation of a QHE device by means of the \\emph{indefinite admittance matrix}: external connections are then represented with another matrix, easily written by inspection. Some examples, including the solution of double- and triple-series connections, are shown.

  9. Analysis of meat consumption based on the matrix of growth

    Lakić Nada


    Full Text Available Using the matrix of growth it is possible to examine, in a specific way, structural relations of growth in order to discover the mutual influences of activities and their linking into systems. Considering that different sorts of meat can substitute one another in nutrition, during the observation of the dynamics of the consumption of a certain sort of meat, its change should be observed as a function of a scope of the consumption of other sorts of meat in the analyzed time period. This work's subject is an analysis of trends of the consumption of different sorts of meat in Central Serbia, in the period from 1994 to 2007, via the matrix of the consumption growth.

  10. Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation

    Deniz Erdogmus


    Full Text Available Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these algorithms could be grouped into one of the following three approaches: adaptation based on Hebbian updates and deflation, optimization of a second-order statistical criterion (like reconstruction error or output variance, and fixed point update rules with deflation. In this paper, we take a completely different approach that avoids deflation and the optimization of a cost function using gradients. The proposed method updates the eigenvector and eigenvalue matrices simultaneously with every new sample such that the estimates approximately track their true values as would be calculated from the current sample estimate of the data covariance matrix. The performance of this algorithm is compared with that of traditional methods like Sanger's rule and APEX, as well as a structurally similar matrix perturbation-based method.

  11. Random matrix approach to multivariate categorical data analysis

    Patil, Aashay


    Correlation and similarity measures are widely used in all the areas of sciences and social sciences. Often the variables are not numbers but are instead qualitative descriptors called categorical data. We define and study similarity matrix, as a measure of similarity, for the case of categorical data. This is of interest due to a deluge of categorical data, such as movie ratings, top-10 rankings and data from social media, in the public domain that require analysis. We show that the statistical properties of the spectra of similarity matrices, constructed from categorical data, follow those from random matrix theory. We demonstrate this approach by applying it to the data of Indian general elections and sea level pressures in North Atlantic ocean.

  12. Risk Matrix for Delay Causes in Construction Projects in Saudi Arabia

    Ibrahim Mahamid


    Full Text Available Time performance of a project is usually a particularly important consideration for the construction parties. Often, the most troublesome construction disputes involve delay and failure to complete the work in the specified time frame. Many variables have an impact upon construction delay in Saudi Arabia. This study aims at identifying the risk matrix for delay causes in construction projects in Saudi Arabia from consultants’ viewpoint. A questionnaire survey was undertaken of 51 consultants working on construction projects in the Northern Province of Saudi Arabia. Thirty five delay causes were identified through literature review. The study concluded that the top delay causes in construction projects in Saudi Arabia from consultants’ perspective are: bid award for lowest price, changes in material types and specifications during construction, contract management, duration of contract period, fluctuation of prices of materials, frequent changes in design, improper planning, inflationary pressure, lack of adequate manpower, long period between design and time of implementation, payments delay, poor labor productivity and rework.

  13. Comparison between Unknown Input Estimation of a System Using Projection Operator Approach and Generalized Matrix Inverse Method

    Ashis De


    Full Text Available In this paper a detailed comparison between the estimation results of unknown inputs of a linear time invariant system using projection operator approach and using the method of generalized matrix inverse have been discussed. The full order observer constructed using projection operator approach has been extended and implemented for this purpose.

  14. Titanium dioxide anatase as matrix for matrix-assisted laser desorption/ionization analysis of small molecules.

    Castro, Ana L; Madeira, Paulo J Amorim; Nunes, Manuel R; Costa, Fernanda M; Florêncio, M Helena


    The use of inorganic species as assisting materials in matrix-assisted laser desorption/ionization (MALDI) analysis is an alternative approach to avoid interfering matrix ions in the low-mass region of the mass spectra. Reports of the application of inorganic species as matrices in MALDI analysis of small molecules are, however, scarce. Nevertheless, titanium dioxide (TiO(2)) powder has been reported to be a promising matrix medium. In this study we further explore the use of TiO(2) as a matrix for the MALDI analysis of low molecular weight compounds. We present results showing that nanosized TiO(2) anatase and TiO(2) rutile perform better as MALDI matrices than a commercial TiO(2) anatase/rutile mixture. Moreover, when using nanosized TiO(2) anatase as a matrix, high-quality mass spectra can be obtained with strong analyte signals and weak or non-existing matrix interference ions. Furthermore, our results show that the phase type plays an important role in the application of TiO(2) as a MALDI matrix.

  15. Transient Analysis of Hysteresis Queueing Model Using Matrix Geometric Method

    Wajiha Shah


    Full Text Available Various analytical methods have been proposed for the transient analysis of a queueing system in the scalar domain. In this paper, a vector domain based transient analysis is proposed for the hysteresis queueing system with internal thresholds for the efficient and numerically stable analysis. In this system arrival rate of customer is controlled through the internal thresholds and the system is analyzed as a quasi-birth and death process through matrix geometric method with the combination of vector form Runge-Kutta numerical procedure which utilizes the special matrices. An arrival and service process of the system follows a Markovian distribution. We analyze the mean number of customers in the system when the system is in transient state against varying time for a Markovian distribution. The results show that the effect of oscillation/hysteresis depends on the difference between the two internal threshold values.

  16. Data Decision Analysis: Project Shoal

    Forsgren, Frank; Pohll, Greg; Tracy, John


    The purpose of this study was to determine the most appropriate field activities in terms of reducing the uncertainty in the groundwater flow and transport model at the Project Shoal area. The data decision analysis relied on well-known tools of statistics and uncertainty analysis. This procedure identified nine parameters that were deemed uncertain. These included effective porosity, hydraulic head, surface recharge, hydraulic conductivity, fracture correlation scale, fracture orientation, dip angle, dissolution rate of radionuclides from the puddle glass, and the retardation coefficient, which describes the sorption characteristics. The parameter uncertainty was described by assigning prior distributions for each of these parameters. Next, the various field activities were identified that would provide additional information on these parameters. Each of the field activities was evaluated by an expert panel to estimate posterior distribution of the parameters assuming a field activity was performed. The posterior distributions describe the ability of the field activity to estimate the true value of the nine parameters. Monte Carlo techniques were used to determine the current uncertainty, the reduction of uncertainty if a single parameter was known with certainty, and the reduction of uncertainty expected from each field activity on the model predictions. The mean breakthrough time to the downgradient land withdrawal boundary and the peak concentration at the control boundary were used to evaluate the uncertainty reduction. The radionuclide 137Cs was used as the reference solute, as its migration is dependent on all of the parameters. The results indicate that the current uncertainty of the model yields a 95 percent confidence interval between 42 and 1,412 years for the mean breakthrough time and an 18 order-of-magnitude range in peak concentration. The uncertainty in effective porosity and recharge dominates the uncertainty in the model predictions, while the

  17. A practical introduction to tensor networks: Matrix product states and projected entangled pair states

    Orús, Román, E-mail:


    This is a partly non-technical introduction to selected topics on tensor network methods, based on several lectures and introductory seminars given on the subject. It should be a good place for newcomers to get familiarized with some of the key ideas in the field, specially regarding the numerics. After a very general introduction we motivate the concept of tensor network and provide several examples. We then move on to explain some basics about Matrix Product States (MPS) and Projected Entangled Pair States (PEPS). Selected details on some of the associated numerical methods for 1d and 2d quantum lattice systems are also discussed. - Highlights: • A practical introduction to selected aspects of tensor network methods is presented. • We provide analytical examples of MPS and 2d PEPS. • We provide basic aspects on several numerical methods for MPS and 2d PEPS. • We discuss a number of applications of tensor network methods from a broad perspective.

  18. Buckling Analysis of Unidirectional PolymerMatrix Composite Plates

    Jawad Kadhim Uleiwi


    Full Text Available This study deals with the estimation of critical load of unidirectional polymer matrix composite plates by using experimental and finite element techniques at different fiber angles and fiber volume fraction of the composite plate.Buckling analysis illustrated that the critical load decreases in nonlinear relationship with the increase of the fiber angle and that it increases with the increase of the fiber volume fraction.The results show that the maximum value of the critical load is (629.54 N/m at (? = 0? and (Vf = 40 % for the finite element method, while the minimum value of the critical load is (49 N/m at (? = 90? and (Vf = 10 % for the experimental results. The results also indicated that the maximum difference between the finite element analysis and experimental work is about (11 % at ( ? = 0? and (Vf = 40 %

  19. Prioritizing Improvement Projects of EFQM by Fuzzy Group AHP and Try-Success Matrix- The Case of a Manufacturing Industry

    Seyed javad Mosa kassamy


    Full Text Available The aim of this paper is to prioritize projects by a new approach . For prioritizing EFQM projects , self-assessment is conducted by industry experts and then , improve ment projects are determined . For these projects, “prioritizing” is the main problem in organizations. Because of resource constraints, those projects should be selected and implemented that provide most benefits. Selecting the appropriate indicators, such as " quantity of required resources", " impact on stakeholders" and " p robability of project success" can significantly influence selection of projects. These indicators have been considered in the Try-Success matrix. Also, since each project is depend ed on the EFQM’s criteria, the weights of the criteria have been localized . In the designed software of this study, the scoring mechanism is based on Try-Success matrix, and the local weights are determined by Fuzzy-group AHP. In this paper , the application of software in prioritization of projects has been also addressed. T he output of this approach together with software and investigation, are the determined projects that have higher priorities and provide considerable improvement to the industry .

  20. An S matrix analysis of the Z resonance

    Adriani, O.; Aguilar-Benitez, M.; Ahlen, S.; Alcaraz, J.; Aloisio, A.; Alverson, G.; Alviggi, M. G.; Ambrosi, G.; An, Q.; Anderhub, H.; Anderson, A. L.; Andreev, V. P.; Angelescu, T.; Antonov, L.; Antreasyan, D.; Arce, P.; Arefiev, A.; Atamanchuk, A.; Azemoon, T.; Aziz, T.; Baba, P. V. K. S.; Bagnaia, P.; Bakken, J. A.; Ball, R. C.; Banerjee, S.; Bao, J.; Barillère, R.; Barone, L.; Baschirotto, A.; Battiston, R.; Bay, A.; Becattini, F.; Bechtluft, I.; Becker, R.; Becker, U.; Behner, F.; Behrens, J.; Bencze, Gy. L.; Berdugo, J.; Berges, P.; Bertucci, B.; Betev, B. L.; Biasini, M.; Biland, A.; Bilei, G. M.; Bizzarri, R.; Blaising, J. J.; Bobbink, G. J.; Bock, R.; Böhm, A.; Borgia, B.; Bosetti, M.; Bourilkov, D.; Bourquin, M.; Boutigny, D.; Bouwens, B.; Brambilla, E.; Branson, J. G.; Brock, I. C.; Brooks, M.; Bujak, A.; Burger, J. D.; Burger, W. J.; Busenitz, J.; Buytenhuijs, A.; Cai, X. D.; Capell, M.; Caria, M.; Carlino, G.; Cartacci, A. M.; Castello, R.; Cerrada, M.; Cesaroni, F.; Chang, Y. H.; Chaturvedi, U. K.; Chemarin, M.; Chen, A.; Chen, C.; Chen, G.; Chen, G. M.; Chen, H. F.; Chen, H. S.; Chen, M.; Chen, W. Y.; Chiefari, G.; Chien, C. Y.; Choi, M. T.; Chung, S.; Civinini, C.; Clare, I.; Clare, R.; Coan, T. E.; Cohn, H. O.; Coignet, G.; Colino, N.; Contin, A.; Cotorobai, F.; Cui, X. T.; Cui, X. Y.; Dai, T. S.; D'Alessandro, R.; de Asmundis, R.; Degré, A.; Deiters, K.; Dénes, E.; Denes, P.; DeNotaristefani, F.; Dhina, M.; Dibitonto, D.; Diemoz, M.; Dimitrov, H. R.; Dionisi, C.; Dittmar, M.; Djambazov, L.; Dova, M. T.; Drago, E.; Duchesneau, D.; Duinker, P.; Duran, I.; Easo, S.; El Mamouni, H.; Engler, A.; Eppling, F. J.; Erné, F. C.; Extermann, P.; Fabbretti, R.; Fabre, M.; Falciano, S.; Fan, S. J.; Fackler, O.; Fay, J.; Felcini, M.; Ferguson, T.; Fernandez, D.; Fernandex, G.; Ferroni, F.; Fesefeldt, H.; Fiandrini, E.; Field, J. H.; Filthaut, F.; Finocchiaro, G.; Fisher, P. H.; Forconi, G.; Fredj, L.; Freudenreich, K.; Friebel, W.; Fukushima, M.; Gailloud, M.; Galaktionov, Yu.; Gallo, E.; Ganguli, S. N.; Garcia-Abia, P.; Gele, D.; Gentile, S.; Gheordanescu, N.; Giagu, S.; Goldfarb, S.; Gong, Z. F.; Gonzalez, E.; Gougas, A.; Goujon, D.; Gratta, G.; Gruenewald, M.; Gu, C.; Guanziroli, M.; Guo, J. K.; Gupta, V. K.; Gurtu, A.; Gustafson, H. R.; Gutay, L. J.; Hangarter, K.; Hartmann, B.; Hasan, A.; Hauschildt, D.; He, C. F.; He, J. T.; Hebbeker, T.; Hebert, M.; Hervé, A.; Hilgers, K.; Hofer, H.; Hoorani, H.; Hu, G.; Hu, G. Q.; Ille, B.; Ilyas, M. M.; Innocente, V.; Janssen, K.; Jezequel, S.; Jin, B. N.; Jones, L. W.; Josa-Mutuberria, I.; Kasser, A.; Khan, R. A.; Kamyshkov, Yu.; Kapinos, P.; Kapustinsky, J. S.; Karyotakis, Y.; Kaur, M.; Khokhar, S.; Kienzle-Focacci, M. N.; Kim, J. K.; Kim, S. C.; Kim, Y. G.; Kinnison, W. W.; Kirkby, A.; Kirkby, D.; Kirsch, S.; Kittel, W.; Klimentov, A.; Klöckner, R.; König, A. C.; Koffeman, E.; Kornadt, O.; Koutsenko, V.; Koulbardis, A.; Kraemer, R. W.; Kramer, T.; Krastev, V. R.; Krenz, W.; Krivshich, A.; Kuijten, H.; Kumar, K. S.; Kunin, A.; Landi, G.; Lanske, D.; Lanzano, S.; Lebedev, A.; Lebrun, P.; Lecomte, P.; Lecoq, P.; Le Coultre, P.; Lee, D. M.; Lee, J. S.; Lee, K. Y.; Leedom, I.; Leggett, C.; Le Goff, J. M.; Leiste, R.; Leiste, R.; Lenti, M.; Leonardi, E.; Li, S.; Li, H. T.; Li, P. J.; Liao, J. Y.; Lin, W. T.; Lin, Z. Y.; Linde, F. L.; Lindemann, B.; Lista, L.; Liu, Y.; Lohmann, W.; Longo, E.; Lu, Y. S.; Lubbers, J. M.; Lübelsmeyer, K.; Luci, C.; Luckey, D.; Ludovici, L.; Luminari, L.; Lustermann, W.; Ma, J. M.; Ma, W. G.; MacDermott, M.; Malik, R.; Malinin, A.; Maña, C.; Maolinbay, M.; Marchesini, P.; Marion, F.; Marin, A.; Martin, J. P.; Martinez-Laso, L.; Marzano, F.; Massaro, G. G. G.; Mazumdar, K.; McBride, P.; McMahon, T.; McNally, D.; Merk, M.; Merola, L.; Meschini, M.; Metzger, W. J.; Mi, Y.; Mihul, A.; Mills, G. B.; Mir, Y.; Mirabelli, G.; Mnich, J.; Möller, M.; Monteleoni, B.; Morand, R.; Morganti, S.; Moulai, N. E.; Mount, R.; Müller, S.; Nadtochy, A.; Nagy, E.; Napolitano, M.; Nessi-Tedaldi, F.; Newman, H.; Neyer, C.; Niaz, M. A.; Nippe, A.; Nowak, H.; Organtini, G.; Pandoulas, D.; Paoletti, S.; Paolucci, P.; Pascale, G.; Passaleva, G.; Patricelli, S.; Paul, T.; Pauluzzi, M.; Paus, C.; Pauss, F.; Pei, Y. J.; Pensotti, S.; Perret-Gallix, D.; Perrier, J.; Pevsner, A.; Piccolo, D.; Pieri, M.; Piroué, P. A.; Plasil, F.; Plyaskin, V.; Pohl, M.; Pojidaec, V.; Postema, H.; Qi, Z. D.; Qian, J. M.; Qureshi, K. N.; Raghavan, R.; Rahal-Callot, G.; Rancoita, P. G.; Rattaggi, M.; Raven, G.; Razis, P.; Read, K.; Ren, D.; Ren, Z.; Rescigno, M.; Reucroft, S.; Ricker, A.; Riemann, S.; Riemers, B. C.; Riles, K.; Rind, O.; Rizvi, H. A.; Ro, S.; Rodriguez, F. J.; Roe, B. P.; Röhner, M.; Romero, L.; Rosier-Lees, S.; Rosmalen, R.; Rosselet, Ph.; van Rossum, W.; Roth, S.; Rubbia, A.; Rubio, J. A.; Rykaczewski, H.; Sachwitz, M.; Salicio, J.; Salicio, J. M.; Sanders, G. S.; Santocchia, A.; Sarakinos, M. S.; Sartorelli, G.; Sassowsky, M.; Sauvage, G.; Schegelsky, V.; Schmitz, D.; Schmitz, P.; Schneegans, M.; Schopper, H.; Schotanus, D. J.; Shotkin, S.; Schreiber, H. J.; Shukla, J.; Schulte, R.; Schulte, S.; Schultze, K.; Schwenke, J.; Schwering, G.; Sciacca, C.; Scott, I.; Sehgal, R.; Seiler, P. G.; Sens, J. C.; Servoli, L.; Sheer, I.; Shen, D. Z.; Shevchenko, S.; Shi, X. R.; Shumilov, E.; Shoutko, V.; Son, D.; Sopczak, A.; Soulimov, V.; Spartiotis, C.; Spickermann, T.; Spillantini, P.; Starosta, R.; Steuer, M.; Stickland, D. P.; Sticozzi, F.; Stone, H.; Strauch, K.; Stringfellow, B. C.; Sudhakar, K.; Sultanov, G.; Sun, L. Z.; Susinno, G. F.; Suter, H.; Swain, J. D.; Syed, A. A.; Tang, X. W.; Taylor, L.; Terzi, G.; Ting, Samuel C. C.; Ting, S. M.; Tonutti, M.; Tonwar, S. C.; Tóth, J.; Tsaregorodtsev, A.; Tsipolitis, G.; Tully, C.; Tung, K. L.; Ulbricht, J.; Urbán, L.; Uwer, U.; Valente, E.; Van de Walle, R. T.; Vetlitsky, I.; Viertel, G.; Vikas, P.; Vikas, U.; Vivargent, M.; Vogel, H.; Vogt, H.; Vorobiev, I.; Vorobyov, A. A.; Vuilleumier, L.; Wadhwa, M.; Wallraff, W.; Wang, C.; Wang, C. R.; Wang, X. L.; Wang, Y. F.; Wang, Z. M.; Warner, C.; Weber, A.; Weber, J.; Weill, R.; Wenaus, T. J.; Wenninger, J.; White, M.; Willmott, C.; Wittgenstein, F.; Wright, D.; Wu, S. X.; Wynhoff, S.; Wysłouch, B.; Xie, Y. Y.; Xu, J. G.; Xu, Z. Z.; Xue, Z. L.; Yan, D. S.; Yang, B. Z.; Yang, C. G.; Yang, G.; Ye, C. H.; Ye, J. B.; Ye, Q.; Yeh, S. C.; Yin, Z. W.; You, J. M.; Yunus, N.; Yzerman, M.; Zaccardelli, C.; Zaitsev, N.; Zemp, P.; Zeng, M.; Zeng, Y.; Zhang, D. H.; Zhang, Z. P.; Zhou, B.; Zhou, G. J.; Zhou, J. F.; Zhu, R. Y.; Zichichi, A.; van der Zwaan, B. C. C.; L3 Collaboration


    The S matrix ansatz is a rigorously model independent approach to describe the cross-sections and asymetries in e +e - annihilation. Using the cross-sections and asymetries measured with the L3 detector during the 1990 and 1991 running period, we determine the mass and the width of the Z boson, the contributions of the Z exchange and the γZ interference. Including the polarization of the τ lepton in the analysis, the leptonic helicity amplitudes of the scattering process are determined assuming lepton universality. The results are compared with other model independent ansatzes as realized in ZFITTER. A systematic bias of the Z mass due to the γZ interference term is detected, which leads to an underestimation of the error on mZ for model independent determinations.

  1. Project cost analysis under risk

    Florica LUBAN


    Full Text Available In this paper, an integrated approach based on Monte Carlo simulation and Six Sigma methodology is used to analyze the risk associated with a project's total cost. Monte Carlo simulation is applied to understand the variability in total cost caused by the probabilistic cost items. By Six Sigma methodology the range of variation of the project cost can be reduced by operating on the input factors with the greatest impact on total cost to cover the variation of 6 between the limits that were established in the design phase of Six Sigma.

  2. Derivation of the state matrix for dynamic analysis of linear homogeneous media.

    Parra Martinez, Juan Pablo; Dazel, Olivier; Göransson, Peter; Cuenca, Jacques


    A method to obtain the state matrix of an arbitrary linear homogeneous medium excited by a plane wave is proposed. The approach is based on projections on the eigenspace of the governing equations matrix. It is an alternative to manually obtaining a linearly independent set of equations by combining the governing equations. The resulting matrix has been validated against previously published derivations for an anisotropic poroelastic medium.

  3. MOVES-Matrix and Distributed Computing for Microscale Line Source Dispersion Analysis.

    Liu, Haobing; Xu, Xiaodan; Rodgers, Michael O; Xu, Yanzhi Ann; Guensler, Randall L


    MOVES and AERMOD are the U.S. Environmental Protection Agency's recommended models for use in project-level transportation conformity and hot-spot analysis. However, the structure and algorithms involved in running MOVES make analyses cumbersome and time-consuming. Likewise, the modeling setup process, including extensive data requirements and required input formats, in AERMOD lead to a high potential for analysis error in dispersion modeling. This study presents a distributed computing method for line source dispersion modeling that integrates MOVES-Matrix, a high-performance emission modeling tool, with the microscale dispersion models CALINE4 and AERMOD. MOVES-Matrix was prepared by iteratively running MOVES across all possible iterations of vehicle source-type, fuel, operating conditions, and environmental parameters to create a huge multi-dimensional emission rate lookup matrix. AERMOD and CALINE4 are connected with MOVES-Matrix in a distributed computing cluster using a series of Python scripts. This streamlined system built on MOVES-Matrix generates exactly the same emission rates and concentration results as using MOVES with AERMOD and CALINE4, but the approach is more that 200-times faster than using the MOVES graphical user interface. Because AERMOD requires detailed meteorological input, which is difficult to obtain, this study also recommends using CALINE4 as a screening tool for identifying the potential area that may exceed air quality standards before using AERMOD (and identifying areas that are exceedingly unlikely to exceed air quality standards). CALINE4 worst case method yields consistently higher concentration results than AERMOD for all comparisons in this paper, as expected given the nature of the meteorological data employed. Implication Statement The paper demonstrates a distributed computing method for line source dispersion modeling that integrates MOVES-Matrix with the CALINE4 and AERMOD. This streamlined system generates exactly the same

  4. Error analysis and feasibility study of dynamic stiffness matrix-based damping matrix identification

    Ozgen, Gokhan O.; Kim, Jay H.


    Developing a method to formulate a damping matrix that represents the actual spatial distribution and mechanism of damping of the dynamic system has been an elusive goal. The dynamic stiffness matrix (DSM)-based damping identification method proposed by Lee and Kim is attractive and promising because it identifies the damping matrix from the measured DSM without relying on any unfounded assumptions. However, in ensuing works it was found that damping matrices identified from the method had unexpected forms and showed traces of large variance errors. The causes and possible remedies of the problem are sought for in this work. The variance and leakage errors are identified as the major sources of the problem, which are then related to system parameters through numerical and experimental simulations. An improved experimental procedure is developed to reduce the effect of these errors in order to make the DSM-based damping identification method a practical option.


    Fuli HE; Min KU; Uwe K ?HLER


    By the characterization of the matrix Hilbert transform in the Hermitian Clifford analysis, we introduce the matrix Szeg? projection operator for the Hardy space of Hermitean monogenic functions defined on a bounded sub-domain of even dimensional Euclidean space, establish the Kerzman-Stein formula which closely connects the matrix Szeg? projection operator with the Hardy projection operator onto the Hardy space, and get the matrix Szeg? projection operator in terms of the Hardy projection operator and its adjoint. Furthermore, we construct the explicit matrix Szeg? kernel function for the Hardy space on the sphere as an example, and get the solution to a boundary value problem for matrix functions.

  6. Perturbation analysis of transient population dynamics using matrix projection models

    Stott, Iain


    Non-stable populations exhibit short-term transient dynamics: size, growth and structure that are unlike predicted long-term asymptotic stable, stationary or equilibrium dynamics. Understanding transient dynamics of non-stable populations is important for designing effective population management...... strategies, predicting the responses of populations to environmental change or disturbance, and understanding population processes and life-history evolution in variable environments. Transient perturbation analyses are vital tools for achieving these aims. They assess how transient dynamics are affected...... of model being analysed, the perturbation structure, the population response of interest, nonlinear response to perturbation, standardization for asymptotic dynamics, the initial population structure, and the time frame of interest. I discuss these with reference to the application of transient...

  7. Space Mission Human Reliability Analysis (HRA) Project

    National Aeronautics and Space Administration — The purpose of this project is to extend current ground-based Human Reliability Analysis (HRA) techniques to a long-duration, space-based tool to more effectively...

  8. Statistical Mechanical Analysis of Compressed Sensing Utilizing Correlated Compression Matrix

    Takeda, Koujin


    We investigate a reconstruction limit of compressed sensing for a reconstruction scheme based on the L1-norm minimization utilizing a correlated compression matrix with a statistical mechanics method. We focus on the compression matrix modeled as the Kronecker-type random matrix studied in research on multi-input multi-output wireless communication systems. We found that strong one-dimensional correlations between expansion bases of original information slightly degrade reconstruction performance.

  9. Analysis of electrochemical disintegration process of graphite matrix

    Tian Lifang; Wen Mingfen [Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084 (China); Chen Jing, E-mail: [Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084 (China)


    The electrochemical method with ammonium nitrate as electrolyte was studied to disintegrate the graphite matrix from the simulative fuel elements for high temperature gas-cooled reactor. The influences of process parameters, including salt concentration, system temperature and current density, on the disintegration rate of graphite fragments were investigated in the present work. The experimental results showed that the disintegration rate depended slightly on the temperature and salt concentration. The current density strongly affected the disintegration rate of graphite fragments. Furthermore, the content of introduced oxygen in final graphite fragments was independent of the current density and the concentration of electrolyte. Moreover, the structural evolution of graphite was analyzed based on the microstructural parameters determined by X-ray diffraction profile fitting analysis using MAUD (material analysis using diffraction) before and after the disintegration process. It may safely be concluded that the graphite disintegration can be ascribed to the influences of the intercalation of foreign molecules in between crystal planes and the partial oxidation involved. The disintegration process was described deeply composed of intercalate part and further oxidation part of carbon which effected together to lead to the collapse of graphite crystals.

  10. Structure Analysis of Network Traffic Matrix Based on Relaxed Principal Component Pursuit

    Wang, Zhe; Xu, Ke; Yin, Baolin


    The network traffic matrix is a kind of flow-level Internet traffic data and is widely applied to network operation and management. It is a crucial problem to analyze the composition and structure of traffic matrix; some mathematical approaches such as Principal Component Analysis (PCA) were used to handle that problem. In this paper, we first argue that PCA performs poorly for analyzing traffic matrixes polluted by large volume anomalies, then propose a new composition model of the network traffic matrix. According to our model, structure analysis can be formally defined as decomposing a traffic matrix into low-rank, sparse, and noise sub-matrixes, which is equal to the Robust Principal Component Analysis (RPCA) problem defined in [13]. Based on the Relaxed Principal Component Pursuit (Relaxed PCP) method and the Accelerated Proximal Gradient (APG) algorithm, an iterative algorithm for decomposing a traffic matrix is presented, and our experiment results demonstrate its efficiency and flexibility. At last, f...

  11. Supplement analysis, Southpoint power project



    The Calpine Corporation applied to interconnect its proposed power plant with the Western Area Power Administration`s (Western) Parker-Davis project in western Arizona. Western, as a major electric transmission system owner is required by existing policies and regulations, to provide access to its transmission system, when requested by an eligible organization. The proposed interconnection would integrate a major source of new generation into the Parker-Davis system which would allow Calpine to supply its power to the electric wholesale market. Based on this application, Western`s proposed action is to enter into an interconnection agreement with Calpine.

  12. Semi-Supervised Projective Non-Negative Matrix Factorization for Cancer Classification.

    Xiang Zhang

    Full Text Available Advances in DNA microarray technologies have made gene expression profiles a significant candidate in identifying different types of cancers. Traditional learning-based cancer identification methods utilize labeled samples to train a classifier, but they are inconvenient for practical application because labels are quite expensive in the clinical cancer research community. This paper proposes a semi-supervised projective non-negative matrix factorization method (Semi-PNMF to learn an effective classifier from both labeled and unlabeled samples, thus boosting subsequent cancer classification performance. In particular, Semi-PNMF jointly learns a non-negative subspace from concatenated labeled and unlabeled samples and indicates classes by the positions of the maximum entries of their coefficients. Because Semi-PNMF incorporates statistical information from the large volume of unlabeled samples in the learned subspace, it can learn more representative subspaces and boost classification performance. We developed a multiplicative update rule (MUR to optimize Semi-PNMF and proved its convergence. The experimental results of cancer classification for two multiclass cancer gene expression profile datasets show that Semi-PNMF outperforms the representative methods.

  13. Infinite matrix product states versus infinite projected entangled-pair states on the cylinder: A comparative study

    Osorio Iregui, Juan; Troyer, Matthias; Corboz, Philippe


    In spite of their intrinsic one-dimensional nature, matrix product states have been systematically used to obtain remarkably accurate results for two-dimensional systems. Motivated by basic entropic arguments favoring projected entangled-pair states as the method of choice, we assess the relative performance of infinite matrix product states and infinite projected entangled-pair states on cylindrical geometries. By considering the Heisenberg and half-filled Hubbard models on the square lattice as our benchmark cases, we evaluate their variational energies as a function of both bond dimension and cylinder width. In both examples, we find crossovers at moderate cylinder widths, i.e., for the largest bond dimensions considered, we find an improvement on the variational energies for the Heisenberg model by using projected entangled-pair states at a width of about eleven sites, whereas for the half-filled Hubbard model, this crossover occurs at about seven sites.

  14. Analysis of Surface Integrity in Drilling Metal Matrix and Hybrid Metal Matrix Composites

    T. Rajmohan; K. Palanikumar; J. Paulo Davim


    Hybrid metal matrix composites consist of at least three constituents-a metal or an alloy matrix and two reinforcements in various forms, bonded together at the atomic level in the composite. Despite their higher specific properties of strength and stiffness, the non homogeneous and anisotropic nature combined with the abrasive reinforcements render their machining difficult. In this paper, the surface integrity of machining in drilling hybrid composites has been discussed. Drilling tests are carried out at different spindle speed, feed rates, and different drill tool materials to investigate the effect of the various cutting parameters on the surface quality and the extent of the deformation of drilled surface due to drilling. Materials used for the present investigation are A1356/IOSIC (wt%) metal matrix and A1356/10SiC-3mica (wt%) hybrid composites. The composites are fabricated using stir casting route. The drilling tests are conducted on vertical computer numeric control (CNC) machining center using carbide, coated carbide and polycrystalline diamond (PCD) drills. The surface roughness decreases with increasing spindle speed and increases with increasing feed rate. The machined surface is analyzed by scanning electron microscopy (SEM). SEM images of the machined surfaces indicate the presence of grooves and pits. Microhardness depth profiles indicate that the subsurface damage is limited to the top of 100-250 μm.

  15. Importance of randomness in biological networks: A random matrix analysis

    Sarika Jalan


    Random matrix theory, initially proposed to understand the complex interactions in nuclear spectra, has demonstrated its success in diverse domains of science ranging from quantum chaos to galaxies. We demonstrate the applicability of random matrix theory for networks by providing a new dimension to complex systems research. We show that in spite of huge differences these interaction networks, representing real-world systems, posses from random matrix models, the spectral properties of the underlying matrices of these networks follow random matrix theory bringing them into the same universality class. We further demonstrate the importance of randomness in interactions for deducing crucial properties of the underlying system. This paper provides an overview of the importance of random matrix framework in complex systems research with biological systems as examples.

  16. Parallel Programming Application to Matrix Algebra in the Spectral Method for Control Systems Analysis, Synthesis and Identification

    V. Yu. Kleshnin


    Full Text Available The article describes the matrix algebra libraries based on the modern technologies of parallel programming for the Spectrum software, which can use a spectral method (in the spectral form of mathematical description to analyse, synthesise and identify deterministic and stochastic dynamical systems. The developed matrix algebra libraries use the following technologies for the GPUs: OmniThreadLibrary, OpenMP, Intel Threading Building Blocks, Intel Cilk Plus for CPUs nVidia CUDA, OpenCL, and Microsoft Accelerated Massive Parallelism.The developed libraries support matrices with real elements (single and double precision. The matrix dimensions are limited by 32-bit or 64-bit memory model and computer configuration. These libraries are general-purpose and can be used not only for the Spectrum software. They can also find application in the other projects where there is a need to perform operations with large matrices.The article provides a comparative analysis of the libraries developed for various matrix operations (addition, subtraction, scalar multiplication, multiplication, powers of matrices, tensor multiplication, transpose, inverse matrix, finding a solution of the system of linear equations through the numerical experiments using different CPU and GPU. The article contains sample programs and performance test results for matrix multiplication, which requires most of all computational resources in regard to the other operations.

  17. Initial guidance on digraph-matrix analysis for systems interaction studies. [PWR; BWR

    Alesso, H.P.; Sacks, I.J.; Smith, C.F.


    This report describes the digraph-matrix analysis for systems structural analysis. The method is useful to analysts that are searching for both single failures and paired failures that disable systems. The digraph-matrix analysis can assure the analyst that the independent functioning of a safety system is not jeopardized by design features that cause faults to be dependent. The digraph-matrix analysis facilitates the discovery and the quantification of component reachability. The guidance is sufficiently specific that the reader can make direct application. Because a systems interaction analysis of an LWR is expensive, the resource efficiency of a candidate method is important to the staff. A demonstration of the digraph-matrix analysis is part of the staffs efforts to provide a measure of its resource efficiency. Additionally, there are features within the digraph-matrix analysis itself that might be modified to enhance resource efficiency.

  18. Isotopic analysis for degradation diagnosis of calcite matrix in mortar.

    Dotsika, E; Psomiadis, D; Poutoukis, D; Raco, B; Gamaletsos, P


    Mortar that was used in building as well as in conservation and restoration works of wall paintings have been analysed isotopically (delta(13)C and delta(18)O) in order to evaluate the setting environments and secondary processes, to distinguish the structural components used and to determine the exact causes that incurred the degradation phenomena. The material undergoes weathering and decay on a large proportion of its surface and in depth, due to the infiltration of water through the structural blocks. Mineralogical analysis indicated signs of sulphation and dissolution/recrystallisation processes taking place on the material, whereas stable isotopes provided information relative to the origin of the CO(2) and water during calcite formation and degradation processes. Isotopic change of the initial delta(13)C and delta(18)O in carbonate matrix was caused by alteration of the primary source of CO(2) and H(2)O in mortar over time, particularly by recrystallisation of calcite with porewater, evaporated or re-condensed water, and CO(2) from various sources of atmospheric and biogenic origin. Human influence (surface treatment) and biological growth (e.g. fungus) are major exogenic processes which may alter delta(18)O and delta(13)C in lime mortar.

  19. Error analysis of Padé iterations for computing matrix invariant subspaces

    Zhenyue ZHANG; Rui HE


    The method of Padé matrix iteration is commonly used for computing matrix sign function and invariant subspaces of a real or complex matrix. In this paper, a detailed rounding error analysis is given for two classical schemes of the Padé matrix iteration, using basic matrix floating point arithmetics. Error estimations of computing invariant sub-spaces by the Padé sign iteration are also provided. Numerical experiments are given to show the numerical behaviors of the Padé iterations and the corresponding subspace computation.

  20. R-matrix and K-matrix analysis of elastic $\\alpha - \\alpha$ scattering

    Humblet, J; Langanke, K


    The R- and K-matrix parametrizations are analyzed and compared for the elastic alpha-alpha scattering at center-of-mass energies below 40 MeV. The two parametrizations differ in their definitions of the resonance energy which can lead to quite different results. The physical values of the best-fit parameters are compared with those computed for a potential model. The existence of a broad resonance near 9 MeV is not supported by the data or by the potential model. We discuss the positive and negative aspects for both parametrizations.

  1. Kaqchikel Maya Language Analysis Project

    Eddy de Pappa, Sarah


    The purpose of this analysis was to study the linguistic features of Kaqchikel, a Mayan language currently spoken in Guatemala and increasingly in the United States, in an effort to better prepare teachers of English as a second language (ESL) or English as a foreign language (EFL) to address the distinct needs of a frequently neglected and…

  2. Automatic Analysis of Standards in Rail Projects

    Marcelo Franco Porto


    Full Text Available This research develops a system to check standards and specifications automatically for geometric railway projects, aiming to avoid high construction and operating costs, noncompliance with design requirements, and even fatal accidents. This study is important due to the increasing quality requirements for the design projects. The methodology used consists of five stages: literature review on Code Checking and Building Information Modeling with the intention to search for the theoretical and methodological development of research grants; literature review on the specifications and requirements of geometric railway projects; development of a code checking system using the software Excel; application of the system developed to an existing railroad; analysis of the results found.

  3. Interface coatings for Carbon and Silicon Carbide Fibers in Silicon Carbide Matrixes Project

    National Aeronautics and Space Administration — Interface coatings for fiber-reinforced composites are an enabling technology for high temperature ceramic matrix composites. Because of their availability and...

  4. CNT-based Reinforcing Polymer Matrix Composites for Lightweight Structures Project

    National Aeronautics and Space Administration — Carbon Polymer Matrix Composites (PMCs) are attractive structural materials for NASA applications due to their high strength to weight ratio, mechanical properties...

  5. Statistical Analysis of Q-matrix Based Diagnostic Classification Models

    Chen, Yunxiao; Liu, Jingchen; Xu, Gongjun; Ying, Zhiliang


    Diagnostic classification models have recently gained prominence in educational assessment, psychiatric evaluation, and many other disciplines. Central to the model specification is the so-called Q-matrix that provides a qualitative specification of the item-attribute relationship. In this paper, we develop theories on the identifiability for the Q-matrix under the DINA and the DINO models. We further propose an estimation procedure for the Q-matrix through the regularized maximum likelihood. The applicability of this procedure is not limited to the DINA or the DINO model and it can be applied to essentially all Q-matrix based diagnostic classification models. Simulation studies are conducted to illustrate its performance. Furthermore, two case studies are presented. The first case is a data set on fraction subtraction (educational application) and the second case is a subsample of the National Epidemiological Survey on Alcohol and Related Conditions concerning the social anxiety disorder (psychiatric application). PMID:26294801

  6. The Performance Analysis Based on SAR Sample Covariance Matrix

    Esra Erten


    Full Text Available Multi-channel systems appear in several fields of application in science. In the Synthetic Aperture Radar (SAR context, multi-channel systems may refer to different domains, as multi-polarization, multi-interferometric or multi-temporal data, or even a combination of them. Due to the inherent speckle phenomenon present in SAR images, the statistical description of the data is almost mandatory for its utilization. The complex images acquired over natural media present in general zero-mean circular Gaussian characteristics. In this case, second order statistics as the multi-channel covariance matrix fully describe the data. For practical situations however, the covariance matrix has to be estimated using a limited number of samples, and this sample covariance matrix follow the complex Wishart distribution. In this context, the eigendecomposition of the multi-channel covariance matrix has been shown in different areas of high relevance regarding the physical properties of the imaged scene. Specifically, the maximum eigenvalue of the covariance matrix has been frequently used in different applications as target or change detection, estimation of the dominant scattering mechanism in polarimetric data, moving target indication, etc. In this paper, the statistical behavior of the maximum eigenvalue derived from the eigendecomposition of the sample multi-channel covariance matrix in terms of multi-channel SAR images is simplified for SAR community. Validation is performed against simulated data and examples of estimation and detection problems using the analytical expressions are as well given.

  7. Considering Horn’s Parallel Analysis from a Random Matrix Theory Point of View

    Saccenti, Edoardo; Timmerman, Marieke E.


    Horn’s parallel analysis is a widely used method for assessing the number of principal components and common factors. We discuss the theoretical foundations of parallel analysis for principal components based on a covariance matrix by making use of arguments from random matrix theory. In particular,

  8. Considering Horn’s Parallel Analysis from a Random Matrix Theory Point of View

    Saccenti, Edoardo; Timmerman, Marieke E.


    Horn’s parallel analysis is a widely used method for assessing the number of principal components and common factors. We discuss the theoretical foundations of parallel analysis for principal components based on a covariance matrix by making use of arguments from random matrix theory. In particular,

  9. Real Options Analysis of Mining Projects

    Rudolf Zdravlje


    When long life assets are being evaluated based on constant predictions of future variables and the assumptions of zero management flexibility, is value being missed? In project evaluation today, the most common evaluation methods that calculate a net present value are discounted cash flow (DCF) analysis, decision tree analysis and Monte Carlo simulation. A fourth method, which is beginning to gain ground in terms of its use in the mining industry, is real option analysis (ROA). ROA utilizes ...

  10. A matrix projection method for on line stable estimation of 1D and 3D shear building models

    Angel García-Illescas, Miguel; Alvarez-Icaza, Luis


    An estimation method is presented that combines the use of recursive least squares, a matrix parameterized model, Gershgorin circles and tridiagonal matrices properties to allow the identification of stable shear building models in the presence of low excitation or low damping. The resultant scheme yields a significant reduction on the number of calculations involved, when compared with the standard vector parameterization based schemes. As real buildings are always open loop stable, the use of an stable shear building model for vibration control purposes allows the design of more robust control laws. Extensive simulation results are presented for cases of low excitation comparing the results of using or not this matrix projection method with different sets of initial conditions. Results indicate that the use of this projection method does not have an influence in the recovery of natural frequencies, however, it significantly improves the recovery of mode shapes.

  11. Adaptive generalized matrix projective lag synchronization between two different complex networks with non-identical nodes and different dimensions

    Dai Hao; Jia Li-Xin; Zhang Yan-Bin


    The adaptive generalized matrix projective lag synchronization between two different complex networks with non-identical nodes and different dimensions is investigated in this paper.Based on Lyapunov stability theory and Barbalat's lemma,generalized matrix projective lag synchronization criteria are derived by using the adaptive control method.Furthermore,each network can be undirected or directed,connected or disconnected,and nodes in either network may have identical or different dynamics.The proposed strategy is applicable to almost all kinds of complex networks.In addition,numerical simulation results are presented to illustrate the effectiveness of this method,showing that the synchronization speed is sensitively influenced by the adaptive law strength,the network size,and the network topological structure.

  12. Cost analysis methodology: Photovoltaic Manufacturing Technology Project

    Whisnant, R.A. (Research Triangle Inst., Research Triangle Park, NC (United States))


    This report describes work done under Phase 1 of the Photovoltaic Manufacturing Technology (PVMaT) Project. PVMaT is a five-year project to support the translation of research and development in PV technology into the marketplace. PVMaT, conceived as a DOE/industry partnership, seeks to advanced PV manufacturing technologies, reduce PV module production costs, increase module performance, and expand US commercial production capacities. Under PVMaT, manufacturers will propose specific manufacturing process improvements that may contribute to the goals of the project, which is to lessen the cost, thus hastening entry into the larger scale, grid-connected applications. Phase 1 of the PVMaT project is to identify obstacles and problems associated with manufacturing processes. This report describes the cost analysis methodology required under Phase 1 that will allow subcontractors to be ranked and evaluated during Phase 2.

  13. Exponential parameterization of the neutrino mixing matrix - comparative analysis with different data sets and CP violation

    Zhukovsky, Konstantin


    The exponential parameterization of Pontecorvo-Maki-Nakagawa-Sakata mixing matrix for neutrino is used for comparative analysis of different neutrino mixing data. The UPMNS matrix is considered as the element of the SU(3) group and the second order matrix polynomial is constructed for it. The inverse problem of constructing the logarithm of the mixing matrix is addressed. In this way the standard parameterization is related to the exponential parameterization exactly. The exponential form allows easy factorization and separate analysis of the rotation and the CP violation. With the most recent experimental data on the neutrino mixing (May 2016), we calculate the values of the exponential parameterization matrix for neutrinos with account for the CP violation. The complementarity hypothesis for quarks and neutrinos is demonstrated to hold, despite significant change in the neutrino mixing data. The values of the entries of the exponential mixing matrix are evaluated with account for the actual degree of the CP...

  14. Random matrix analysis for gene interaction networks in cancer cells

    Kikkawa, Ayumi


    Motivation: The investigation of topological modifications of the gene interaction networks in cancer cells is essential for understanding the desease. We study gene interaction networks in various human cancer cells with the random matrix theory. This study is based on the Cancer Network Galaxy (TCNG) database which is the repository of huge gene interactions inferred by Bayesian network algorithms from 256 microarray experimental data downloaded from NCBI GEO. The original GEO data are provided by the high-throughput microarray expression experiments on various human cancer cells. We apply the random matrix theory to the computationally inferred gene interaction networks in TCNG in order to detect the universality in the topology of the gene interaction networks in cancer cells. Results: We found the universal behavior in almost one half of the 256 gene interaction networks in TCNG. The distribution of nearest neighbor level spacing of the gene interaction matrix becomes the Wigner distribution when the net...

  15. Error analysis for matrix elastic-net regularization algorithms.

    Li, Hong; Chen, Na; Li, Luoqing


    Elastic-net regularization is a successful approach in statistical modeling. It can avoid large variations which occur in estimating complex models. In this paper, elastic-net regularization is extended to a more general setting, the matrix recovery (matrix completion) setting. Based on a combination of the nuclear-norm minimization and the Frobenius-norm minimization, we consider the matrix elastic-net (MEN) regularization algorithm, which is an analog to the elastic-net regularization scheme from compressive sensing. Some properties of the estimator are characterized by the singular value shrinkage operator. We estimate the error bounds of the MEN regularization algorithm in the framework of statistical learning theory. We compute the learning rate by estimates of the Hilbert-Schmidt operators. In addition, an adaptive scheme for selecting the regularization parameter is presented. Numerical experiments demonstrate the superiority of the MEN regularization algorithm.

  16. Analysis of Symmetrical Pulse Width Modulation Strategies for Matrix Converters

    Larsen, K.B.; Jorgensen, A.H.; Helle, Lars


    This paper presents a new and easy way to understand the derivation of the modulation functions for matrix converters. It is shown how the duty cycles can be calculated using techniques known from the back-to-back (B2B) voltage source inverter (VSI), thus making the subject accessible to people...... with prior knowledge in standard drives. A new modulation strategy is presented minimizing harmonic distortion compared to the standard double-sided space vector modulation for matrix converters. An improvement to an existing modulator is also presented where the proposed modification improves the harmonic...... performance. The strategies are compared both analytically and by the use of both simulations and measurements on a 12 kW matrix converter prototype.It is found that the proposed modulator has superior performance compared to modulators with equal switching frequencies and an equal number of switchings....

  17. Inverse spectral analysis for singular differential operators with matrix coefficients

    Nour el Houda Mahmoud


    Full Text Available Let $L_alpha$ be the Bessel operator with matrix coefficients defined on $(0,infty$ by $$ L_alpha U(t = U''(t+ {I/4-alpha^2over t^2}U(t, $$ where $alpha$ is a fixed diagonal matrix. The aim of this study, is to determine, on the positive half axis, a singular second-order differential operator of $L_alpha+Q$ kind and its various properties from only its spectral characteristics. Here $Q$ is a matrix-valued function. Under suitable circumstances, the solution is constructed by means of the spectral function, with the help of the Gelfund-Levitan process. The hypothesis on the spectral function are inspired on the results of some direct problems. Also the resolution of Fredholm's equations and properties of Fourier-Bessel transforms are used here.

  18. Low-Cost Innovative Hi-Temp Fiber Coating Process for Advanced Ceramic Matrix Composites Project

    National Aeronautics and Space Administration — MATECH GSM (MG) proposes 1) to demonstrate a low-cost innovative Hi-Temp Si-doped in-situ BN fiber coating process for advanced ceramic matrix composites in order to...

  19. Improved Foreign Object Damage Performance for 3D Woven Ceramic Matrix Composites Project

    National Aeronautics and Space Administration — As the power density of advanced engines increases, the need for new materials that are capable of higher operating temperatures, such as ceramic matrix composites...

  20. Improved Foreign Object Damage Performance for 2D Woven Ceramic Matrix Composites Project

    National Aeronautics and Space Administration — As the power density of advanced engines increases, the need for new materials that are capable of higher operating temperatures, such as ceramic matrix composites...

  1. Soft Play Detection in Shooter Games Using Hit Matrix Analysis

    Jussi Laasonen


    Full Text Available Soft play is a form of cheating where players deliberately play easy against each other. We evaluate different methods for detecting the players engaging in soft play in shooter games using data generated with synthetic players. These methods are used when analysing the hit matrix of the game.

  2. Analysis of Damage in a Ceramic Matrix Composite

    Sørensen, Bent F.; Talreja, Ramesh


    Mechanisms of damage and the associated mechanical response are stud ied for a unidirectionally fiber-reinforced ceramic matrix composite subjected to uniaxial tensile loading parallel to fibers. A multi-stage development of damage is identified, and for each stage the governing mechanisms...

  3. Analysis of stability problems via matrix Lyapunov functions

    Anatoly A. Martynyuk


    Full Text Available The stability of nonlinear systems is analyzed by the direct Lyapunov's method in terms of Lyapunov matrix functions. The given paper surveys the main theorems on stability, asymptotic stability and nonstability. They are applied to systems of nonlinear equations, singularly-perturbed systems and hybrid systems. The results are demonstrated by an example of a two-component system.

  4. Matrix Failure Modes and Effects Analysis as a Knowledge Base for a Real Time Automated Diagnosis Expert System

    Herrin, Stephanie; Iverson, David; Spukovska, Lilly; Souza, Kenneth A. (Technical Monitor)


    Failure Modes and Effects Analysis contain a wealth of information that can be used to create the knowledge base required for building automated diagnostic Expert systems. A real time monitoring and diagnosis expert system based on an actual NASA project's matrix failure modes and effects analysis was developed. This Expert system Was developed at NASA Ames Research Center. This system was first used as a case study to monitor the Research Animal Holding Facility (RAHF), a Space Shuttle payload that is used to house and monitor animals in orbit so the effects of space flight and microgravity can be studied. The techniques developed for the RAHF monitoring and diagnosis Expert system are general enough to be used for monitoring and diagnosis of a variety of other systems that undergo a Matrix FMEA. This automated diagnosis system was successfully used on-line and validated on the Space Shuttle flight STS-58, mission SLS-2 in October 1993.

  5. 建设项目风险评价的群体决策矩阵方法%Construction Project Risk Assessment of Group Decision Matrix Method



    建设项目在政治、环境、经济、施工、安全等方面的风险评估的群决策过程中,各利益相关群体对于候选方案的每个属性都可以提出自己的个体决策信息,采用乘性加权集结算子构造群体决策矩阵,并判断群体决策矩阵与个体决策矩阵之间的相似度差异值,指导个体决策矩阵的修正,完成个体意见的一致化,得到最终确定评价方案的风险顺序.实例分析的结果表明,采用计算方法有利于提高多利益主体对建设项目风险评价的群决策过程中的综合满意度.%Construction projects in political,environmental,planning,market,the economy,financing risk assessment of group decision making process,each stakeholder groups for each candidate scheme attributes can be put forward its own individual decision information,adopt multiplicative weighted rally operator tectonic group decision matrix,and judging group decision matrix and individual decision matrix the similarity among the difference degree,guiding the individual decision matrix of individual opinion,complete correction of,get consistent final determination evaluation scheme of risk sequence.The example analysis of results show that the calculated by using the method to improve more benefit main body of the project risk assessment of group decision making process of comprehensive satisfaction.

  6. On Optimal Backward Perturbation Analysis for the Linear System with Skew Circulant Coefficient Matrix

    Jiang, Zhaolin; Shen, Nuo; Zhou, Jianwei


    We first give the style spectral decomposition of a special skew circulant matrix C and then get the style decomposition of arbitrary skew circulant matrix by making use of the Kronecker products between the elements of first row in skew circulant and the special skew circulant C. Besides that, we obtain the singular value of skew circulant matrix as well. Finally, we deal with the optimal backward perturbation analysis for the linear system with skew circulant coefficient matrix on the base of its style spectral decomposition. PMID:24369488

  7. Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis

    Asghar Vatani Oskouie


    Full Text Available In this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. To approach this aim the analytical formulas of secant stiffness matrix are presented. The models were validated and used to perform investigating different parameters affecting the shape optimization. Numerical examples utilized for this investigating sensitivity analysis with detailed discussions presented.

  8. Immobilized carbon nanotubes as matrix for MALDI-TOF-MS analysis: applications to neutral small carbohydrates.

    Ren, Shi-fang; Zhang, Li; Cheng, Zhi-hong; Guo, Yin-long


    In this work, we reported on the advantages of immobilized carbon nanotubes as a novel MALDI-matrix. Recently, carbon nanotubes have been reported to be an effective MALDI matrix for small molecules (Anal. Chem.2003, 75, 6191), as it can eliminate the interfering matrix peaks as well as form a web morphology to fully disperse the analyte and allow strong ultraviolet absorption for enhanced pulsed laser desorption and ionization. In our study, to overcome the problem that the carbon nanotube matrix may fly off from the target, a type of polyurethane adhesive, NIPPOLAN-DC-205, is introduced to immobilize carbon nanotubes on the target, which enables widespread application of carbon nanotubes as matrix for MALDI-MS analysis. At the same time, the properties of the carbon nanotubes as an efficient matrix remained after immobilization. The presence of NIPPOLAN-DC-205 increases the time for analysis at a particular desorption spot by minimizing the time-consuming search for "hot spots" and facilitating experiments such as post source decay (PSD) which need longer-lasting signals. Moreover, NIPPOLAN-DC-205 produces no interference peaks and can easily be cleaned with acetone. Fast evaporation technology may be used to enhance signal reproducibility in MALDI analysis using carbon nanotubes as matrix. Consequently, the applicability of the carbon nanotube as matrix for matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) analysis of low molecular mass analytes is highly improved. The feasibility of the method employing polyurethane is demonstrated by comparison of the results produced from the carbon nanotube matrix with and without immobilization. In addition, neutral small carbohydrates, which are difficult to be ionized normally, can be cationized with high efficiency by MALDI-TOF-MS using the immobilized carbon nanotube matrix. The method was further applied to analyze peptides and detect urine glucose successfully.

  9. Using Analysis State to Construct a Forecast Error Covariance Matrix in Ensemble Kalman Filter Assimilation

    ZHENG Xiaogu; WU Guocan; ZHANG Shupeng; LIANG Xiao; DAI Yongjiu; LI Yong


    Correctly estimating the forecast error covariance matrix is a key step in any data assimilation scheme.If it is not correctly estimated,the assimilated states could be far from the true states.A popular method to address this problem is error covariance matrix inflation.That is,to multiply the forecast error covariance matrix by an appropriate factor.In this paper,analysis states are used to construct the forecast error covariance matrix and an adaptive estimation procedure associated with the error covariance matrix inflation technique is developed.The proposed assimilation scheme was tested on the Lorenz-96 model and 2D Shallow Water Equation model,both of which are associated with spatially correlated observational systems.The experiments showed that by introducing the proposed structure of the forecast error covariance matrix and applying its adaptive estimation procedure,the assimilation results were further improved.

  10. Analysis of driven nanorod transport through a biopolymer matrix

    Mair, Lamar O., E-mail: [Weinberg Medical Physics LLC, Bethesda, MD 20817 (United States); Weinberg, Irving N.; Nacev, Alek; Urdaneta, Mario G.; Stepanov, Pavel; Hilaman, Ryan; Himelfarb, Stephanie [Weinberg Medical Physics LLC, Bethesda, MD 20817 (United States); Superfine, Richard [Department of Physics and Astronomy, University of North Carolina, Chapel Hill, NC 27599 (United States)


    Applying magnetic fields to guide and retain drug-loaded magnetic particles in vivo has been proposed as a way of treating illnesses. Largely, these efforts have been targeted at tumors. One significant barrier to long range transport within tumors is the extracellular matrix (ECM). We perform single particle measurements of 18 nm diameter nanorods undergoing magnetophoresis through ECM, and analyze the motion of these nanorods in two dimensions. We observe intra-particle magnetophoresis in this viscoelastic environment and measure the fraction of time these nanorods spend effectively hindered, versus effectively translating. - Highlights: • We study the magnetophoretic transport of 18 nm diameter nickel nanorods through a protein-rich matrix. • We note that nanorods move with low velocity (less than 1 μm per minute) for approximately 95% of the total experiment time. • We plot nanorod velocity over the course of hundreds of seconds. • Finally, we observe intra-particle magnetophoresis events in this viscoelastic environment.

  11. Random matrix theory analysis of cross correlations in financial markets.

    Utsugi, Akihiko; Ino, Kazusumi; Oshikawa, Masaki


    We confirm universal behaviors such as eigenvalue distribution and spacings predicted by random matrix theory (RMT) for the cross correlation matrix of the daily stock prices of Tokyo Stock Exchange from 1993 to 2001, which have been reported for New York Stock Exchange in previous studies. It is shown that the random part of the eigenvalue distribution of the cross correlation matrix is stable even when deterministic correlations are present. Some deviations in the small eigenvalue statistics outside the bounds of the universality class of RMT are not completely explained with the deterministic correlations as proposed in previous studies. We study the effect of randomness on deterministic correlations and find that randomness causes a repulsion between deterministic eigenvalues and the random eigenvalues. This is interpreted as a reminiscent of "level repulsion" in RMT and explains some deviations from the previous studies observed in the market data. We also study correlated groups of issues in these markets and propose a refined method to identify correlated groups based on RMT. Some characteristic differences between properties of Tokyo Stock Exchange and New York Stock Exchange are found.




    . In brief, the Path Forward was developed to reconsider potential open air demolition areas; characterize to determine if any zircaloy exists, evaluate existing concrete data to determine additional characterization needs, size the new building to accommodate human machine interface and tooling, consider bucket thumb and use ofshape-charges in design, and finally to utilize complex-wide and industry explosive demolition lessons learned in the design approach. Appendix B documents these results from the team's use ofValue Engineering process tools entitled Weighted Analysis Alternative Matrix, Matrix Conclusions, Evaluation Criteria, and Alternative Advantages and Disadvantages. These results were further supported with the team's validation of parking-lot information sheets: memories (potential ideas to consider), issues/concerns, and assumptions, contained in Appendix C. Appendix C also includes the recorded workshop flipchart notes taken from the SAR Alternatives and Project Overview presentations. The SAR workshop presentations, including a 3-D graphic illustration demonstration video have been retained in the CHPRC project file, and were not included in this report due to size limitations. The workshop concluded with a round robin close-out where each member was engaged for any last minute items and meeting utility. In summary, the team felt the session was value added and looked forward to proceeding with the recommended actions and conceptual design.

  13. Multidisciplinary Product Decomposition and Analysis Based on Design Structure Matrix Modeling

    Habib, Tufail


    Design structure matrix (DSM) modeling in complex system design supports to define physical and logical configuration of subsystems, components, and their relationships. This modeling includes product decomposition, identification of interfaces, and structure analysis to increase the architectural...

  14. Establishing non-Abelian topological order in Gutzwiller-projected Chern insulators via entanglement entropy and modular S-matrix

    Zhang, Yi; Vishwanath, Ashvin


    We use entanglement entropy signatures to establish non-Abelian topological order in projected Chern-insulator wave functions. The simplest instance is obtained by Gutzwiller projecting a filled band with Chern number C=2, whose wave function may also be viewed as the square of the Slater determinant of a band insulator. We demonstrate that this wave function is captured by the SU(2)2 Chern-Simons theory coupled to fermions. This is established most persuasively by calculating the modular S-matrix from the candidate ground-state wave functions, following a recent entanglement-entropy-based approach. This directly demonstrates the peculiar non-Abelian braiding statistics of Majorana fermion quasiparticles in this state. We also provide microscopic evidence for the field theoretic generalization, that the Nth power of a Chern number C Slater determinant realizes the topological order of the SU(N)C Chern-Simons theory coupled to fermions, by studying the SU(2)3 (Read-Rezayi-type state) and the SU(3)2 wave functions. An advantage of our projected Chern-insulator wave functions is the relative ease with which physical properties, such as entanglement entropy and modular S-matrix, can be numerically calculated using Monte Carlo techniques.

  15. Multi-functional Nano-Reinforced Self-Healing Polymer Matrix Composites Project

    National Aeronautics and Space Administration — This Small Business Innovation Research Phase I project seeks to develop self-healing composites using carbon nanofibers in conjunction with encapsulated...

  16. Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution

    Han, Fang; Liu, Han


    Correlation matrix plays a key role in many multivariate methods (e.g., graphical model estimation and factor analysis). The current state-of-the-art in estimating large correlation matrices focuses on the use of Pearson’s sample correlation matrix. Although Pearson’s sample correlation matrix enjoys various good properties under Gaussian models, its not an effective estimator when facing heavy-tail distributions with possible outliers. As a robust alternative, Han and Liu (2013b) advocated the use of a transformed version of the Kendall’s tau sample correlation matrix in estimating high dimensional latent generalized correlation matrix under the transelliptical distribution family (or elliptical copula). The transelliptical family assumes that after unspecified marginal monotone transformations, the data follow an elliptical distribution. In this paper, we study the theoretical properties of the Kendall’s tau sample correlation matrix and its transformed version proposed in Han and Liu (2013b) for estimating the population Kendall’s tau correlation matrix and the latent Pearson’s correlation matrix under both spectral and restricted spectral norms. With regard to the spectral norm, we highlight the role of “effective rank” in quantifying the rate of convergence. With regard to the restricted spectral norm, we for the first time present a “sign subgaussian condition” which is sufficient to guarantee that the rank-based correlation matrix estimator attains the optimal rate of convergence. In both cases, we do not need any moment condition.

  17. Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution.

    Han, Fang; Liu, Han


    Correlation matrix plays a key role in many multivariate methods (e.g., graphical model estimation and factor analysis). The current state-of-the-art in estimating large correlation matrices focuses on the use of Pearson's sample correlation matrix. Although Pearson's sample correlation matrix enjoys various good properties under Gaussian models, its not an effective estimator when facing heavy-tail distributions with possible outliers. As a robust alternative, Han and Liu (2013b) advocated the use of a transformed version of the Kendall's tau sample correlation matrix in estimating high dimensional latent generalized correlation matrix under the transelliptical distribution family (or elliptical copula). The transelliptical family assumes that after unspecified marginal monotone transformations, the data follow an elliptical distribution. In this paper, we study the theoretical properties of the Kendall's tau sample correlation matrix and its transformed version proposed in Han and Liu (2013b) for estimating the population Kendall's tau correlation matrix and the latent Pearson's correlation matrix under both spectral and restricted spectral norms. With regard to the spectral norm, we highlight the role of "effective rank" in quantifying the rate of convergence. With regard to the restricted spectral norm, we for the first time present a "sign subgaussian condition" which is sufficient to guarantee that the rank-based correlation matrix estimator attains the optimal rate of convergence. In both cases, we do not need any moment condition.

  18. Modeling and Analysis of Granite Matrix Pore Structure and Hydraulic Characteristics in 2D and 3D Networks

    Gvozdik, L.; Polak, M.; Zaruba, J.; Vanecek, M.


    chamber at a constant hydraulic gradient were simulated. As an input data, the values of total porosity measured by several laboratory methods, the results of mercury porosimetry and the statistical evaluation of the size and shape of microfractures measured with electron and optical microscopy were used. For each model solution calibrated on laboratory-measured data the sensitivity analysis of the influence of dimension and character of the microfractures on permeability of rock matrix were carried out. Results will be used in the next phase of the project for model evaluation of transport (advection-dispersion and diffusion) properties of the rock matrix. The presented work is supported by the Ministry of Industry and Trade of Czech Republic under project No. FR-TI1/367.

  19. Analytical Micromechanics Modeling Technique Developed for Ceramic Matrix Composites Analysis

    Min, James B.


    Ceramic matrix composites (CMCs) promise many advantages for next-generation aerospace propulsion systems. Specifically, carbon-reinforced silicon carbide (C/SiC) CMCs enable higher operational temperatures and provide potential component weight savings by virtue of their high specific strength. These attributes may provide systemwide benefits. Higher operating temperatures lessen or eliminate the need for cooling, thereby reducing both fuel consumption and the complex hardware and plumbing required for heat management. This, in turn, lowers system weight, size, and complexity, while improving efficiency, reliability, and service life, resulting in overall lower operating costs.

  20. Applied risk analysis to the future Brazilian electricity generation matrix

    Maues, Jair; Fernandez, Eloi; Correa, Antonio


    This study compares energy conversion systems for the generation of electrical power, with an emphasis on the Brazilian energy matrix. The financial model applied in this comparison is based on the Portfolio Theory, developed by Harry Markowitz. The risk-return ratio related to the electrical generation mix predicted in the National Energy Plan - 2030, published in 2006 by the Brazilian Energy Research Office, is evaluated. The increase of non-traditional renewable energy in this expected electrical generating mix, specifically, residues of sugar cane plantations and wind energy, reduce not only the risk but also the average cost of the kilowatt-hour generated.

  1. Comparative analysis of mathematical models of the matrix photodetector used in digital holography

    Grebenyuk, K. A.


    It is established, that in modern works on digital holography, three fundamentally different mathematical models of a matrix photodetector are used. Comparative analysis of these models, including analysis of the formula of each model and test calculations, has been conducted. The possibility of using these models to account for the influence of geometrical parameters of a matrix photodetector on the properties of recorded digital holograms is considered.

  2. Transfer Matrix Method for Natural Vibration Analysis of Tree System

    Bin He


    Full Text Available The application of Transfer matrix method (TMM ranges from linear/nonlinear vibration, composite structure, and multibody system to calculating static deformation, natural vibration, dynamical response, and damage identification. Generally TMM has two characteristics: (1 the TMM formulae share similarity to the chain mechanics model in terms of topology structure; then TMM often is selected as a powerful tool to analyze the chain system. (2 TMM is adopted to deal with the problems of the discrete system, continuous system, and especial discrete/continuous coupling system with the uniform matrix form. In this investigation, a novel TMM is proposed to analyze the natural vibration of the tree system. In order to make the TMM of the tree system have the two above advantages of the TMM of the chain system, the suitable state vectors and transfer matrices of the typical components of the tree system are constructed. Then the topology comparability between the mechanics model and its corresponding formulae of TMM can be adopted to assembling the transfer matrices and transfer equations of the global tree system. Two examples of natural vibration problems validating the method are given. The formulation of the proposed TMM is mathematically intuitive and can be held and applied by the engineers easily.

  3. Google matrix analysis of the multiproduct world trade network

    Ermann, Leonardo; Shepelyansky, Dima L.


    Using the United Nations COMTRADE database [United Nations Commodity Trade Statistics Database, available at: Accessed November (2014)] we construct the Google matrix G of multiproduct world trade between the UN countries and analyze the properties of trade flows on this network for years 1962-2010. This construction, based on Markov chains, treats all countries on equal democratic grounds independently of their richness and at the same time it considers the contributions of trade products proportionally to their trade volume. We consider the trade with 61 products for up to 227 countries. The obtained results show that the trade contribution of products is asymmetric: some of them are export oriented while others are import oriented even if the ranking by their trade volume is symmetric in respect to export and import after averaging over all world countries. The construction of the Google matrix allows to investigate the sensitivity of trade balance in respect to price variations of products, e.g. petroleum and gas, taking into account the world connectivity of trade links. The trade balance based on PageRank and CheiRank probabilities highlights the leading role of China and other BRICS countries in the world trade in recent years. We also show that the eigenstates of G with large eigenvalues select specific trade communities.

  4. Matrix problems in the certification analysis of botanical materials by neutron activation analysis

    Damsgaard, E.; Heydorn, K.


    Plant materials often contain a mineral fraction as an inseparable part of the plant matrix. Methods for trace analysis in biological materials may not include the amount of determinand present in such mineral fractions, but for certification purposes it must be included. Instrumental methods...... of analysis, such as INAA,automatically include the total amount of an element, regardless of its chemical or physical form; other methods, including RNAA, determine only the amount of element in solution. For certification analysis either the entire sample has been completely dissolved, or the insoluble...... residue should not contain the determinand. In BCR certification analysis for As and Se by RNAA the irradiated sample was decomposed with sulphuric and nitric acids, and CRM 279 Sea Lettuce and CRM 402 White Clover left an insoluble residue. Unirradiated material was then digested without carrier addition...

  5. Project management with dynamic scheduling baseline scheduling, risk analysis and project control

    Vanhoucke, Mario


    The topic of this book is known as dynamic scheduling, and is used to refer to three dimensions of project management and scheduling: the construction of a baseline schedule and the analysis of a project schedule's risk as preparation of the project control phase during project progress. This dynamic scheduling point of view implicitly assumes that the usability of a project's baseline schedule is rather limited and only acts as a point of reference in the project life cycle.

  6. The nuclear matrix elements of 0vββ decay and the NUMEN project at INFN-LNS

    Cappuzzello, F.; Agodi, C.; Aciksoz, E.; Acosta, L.; Aslanouglou, X.; Auerbach, N.; Bijker, R.; Bonanno, D.; Bongiovanni, D.; Borello, T.; Boudhaim, S.; Bouhssa, M. L.; Boztosun, I.; Calabretta, L.; Calanna, A.; Carbone, D.; Cavallaro, M.; Calvo, D.; Chávez Lomelí, E. R.; Colonna, M.; D'Agostino, G.; Deshmukh, N.; de Faria, P. N.; Ferrero, A.; Foti, A.; Finocchiaro, P.; Gomes, P. R. S.; Greco, V.; Hacisalihoglu, A.; Housni, Z.; Khouaja, A.; Inchaou, J.; Lanzalone, G.; La Via, F.; Lay, J. A.; Lenske, H.; Linares, R.; Lubian, J.; Iazzi, F.; Introzzi, R.; Lavagno, A.; Lo Presti, D.; Medina, N.; Mendes, D. R.; Muoio, A.; Oliveira, J. R. B.; Pakou, A.; Pandola, L.; Rifuggiato, D.; Rodrigues, M. R. D.; Santagati, G.; Santopinto, E.; Scaltrito, L.; Sgouros, O.; Solakcı, S. O.; Soukeras, V.; Tudisco, S.; Vsevolodovna, R. I. M.; Zagatto, V.


    An innovative technique to access the nuclear matrix elements entering the expression of the life time of the double beta decay by relevant cross section measurements of double charge exchange reactions is proposed. A key aspect of the project is the use of the MAGNEX large acceptance magnetic spectrometer, for the detection of the ejectiles, and of the LNS K800 Superconducting Cyclotron (CS), for the acceleration of the required high resolution and low emittance heavy-ion beams, already in operation at INFN Laboratory Nazionali del Sud in Catania (Italy). However, a major upgrade is foreseen for the INFN-LNS research infrastructure to cope with beam currents as high as several ppA required by the project.

  7. Flexural analysis of palm fiber reinforced hybrid polymer matrix composite

    Venkatachalam, G.; Gautham Shankar, A.; Raghav, Dasarath; Santhosh Kiran, R.; Mahesh, Bhargav; Kumar, Krishna


    Uncertainty in availability of fossil fuels in the future and global warming increased the need for more environment friendly materials. In this work, an attempt is made to fabricate a hybrid polymer matrix composite. The blend is a mixture of General Purpose Resin and Cashew Nut Shell Liquid, a natural resin extracted from cashew plant. Palm fiber, which has high strength, is used as reinforcement material. The fiber is treated with alkali (NaOH) solution to increase its strength and adhesiveness. Parametric study of flexure strength is carried out by varying alkali concentration, duration of alkali treatment and fiber volume. Taguchi L9 Orthogonal array is followed in the design of experiments procedure for simplification. With the help of ANOVA technique, regression equations are obtained which gives the level of influence of each parameter on the flexure strength of the composite.

  8. Analysis of gene set using shrinkage covariance matrix approach

    Karjanto, Suryaefiza; Aripin, Rasimah


    Microarray methodology has been exploited for different applications such as gene discovery and disease diagnosis. This technology is also used for quantitative and highly parallel measurements of gene expression. Recently, microarrays have been one of main interests of statisticians because they provide a perfect example of the paradigms of modern statistics. In this study, the alternative approach to estimate the covariance matrix has been proposed to solve the high dimensionality problem in microarrays. The extension of traditional Hotelling's T2 statistic is constructed for determining the significant gene sets across experimental conditions using shrinkage approach. Real data sets were used as illustrations to compare the performance of the proposed methods with other methods. The results across the methods are consistent, implying that this approach provides an alternative to existing techniques.

  9. A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections

    Pengfei Jia


    Full Text Available An electronic nose (E-nose consisting of 14 metal oxide gas sensors and one electronic chemical gas sensor has been constructed to identify four different classes of wound infection. However, the classification results of the E-nose are not ideal if the original feature matrix containing the maximum steady-state response value of sensors is processed by the classifier directly, so a novel pre-processing technique based on supervised locality preserving projections (SLPP is proposed in this paper to process the original feature matrix before it is put into the classifier to improve the performance of the E-nose. SLPP is good at finding and keeping the nonlinear structure of data; furthermore, it can provide an explicit mapping expression which is unreachable by the traditional manifold learning methods. Additionally, some effective optimization methods are found by us to optimize the parameters of SLPP and the classifier. Experimental results prove that the classification accuracy of support vector machine (SVM combined with the data pre-processed by SLPP outperforms other considered methods. All results make it clear that SLPP has a better performance in processing the original feature matrix of the E-nose.

  10. Design of a multimode beamforming network based on the scattering matrix analysis

    CHENG YuJian; HONG Wei; WU Ke


    The investigation of the multimode beamforming network (BFN) has been developed from its scattering matrix (S-matrix) analysis. A substrate integrated waveguide (SIW) BFN is designed and fabricated on a single Rogers 5880 substrate. This device is not only marked by features of conventional BFN, such as Butler matrix, but also has additional benefits, e.g. more compact configuration and higher radiation efficiency. Measured and simulated results based on the proposed structure are in a good agreement, which indicates that this novel type of BFN has good characteristics and presents an excellent candidate in the development of intelligent microwave and millimeter-wave multibeam antenna systems.

  11. Semi-Analytical Finite Strip Transfer Matrix Method for Buckling Analysis of Rectangular Thin Plates

    Li-Ke Yao


    Full Text Available Plates and shells are main components of modern engineering structures, whose buckling analysis has been focused by researchers. In this investigation, rectangular thin plates with loaded edges simply supported can be discretized by semi-analytical finite strip technology. Then the control equations of the strip elements of the buckling plate will be rewritten as the transfer equations by transfer matrix method. A new approach, namely semi-analytical Finite Strip Transfer Matrix Method, is developed for the buckling analysis of plates. This method requires no global stiffness matrix of the system, reduces the system matrix order, and improves the computational efficiency. Comparing with some theoretical results and FEM’s results of two illustrations (the plates and the ribbed plates under six boundary conditions, the method is proved to be reliable and effective.

  12. Quantitative analysis of biopolymers by matrix-assisted laser desorption

    Tang, K.; Allman, S.L.; Jones, R.B.; Chen, C.H. (Oak Ridge National Lab., TN (United States))


    During the past few years, major efforts have been made to use mass spectrometry to measure biopolymers because of the great potential benefit to biological and medical research. Although the theoretical details of laser desorption and ionization mechanisms of MALDI are not yet fully understood, several models have been presented to explain the production of large biopolymer ions. In brief, it is very difficult to obtain reliable measurements of the absolute quantity of analytes by MALDI. If MALDI is going to become a routine analytical tool, it is obvious that quantitative measurement capability must be pursued. Oligonucleotides and protein samples used in this work were purchased from commercial sources. Nicotinic acid was used as matrix for both types of biopolymers. From this experiment, it is seen that it is difficult to obtain absolute quantitative measurements of biopolymers using MALDI. However, internal calibration with molecules having similar chemical properties can be used to resolve these difficulties. Chemical reactions between biopolymers must be avoided to prevent the destruction of the analyte materials. 10 refs., 8 figs.

  13. Reliability-analysis on damage of unidirectional composites matrix polymers

    Khiat M. A.


    Full Text Available This work presents an analytical model to predict the strength of the unidirectional carbon epoxy composite using micromechanical techniques. This model supposes that a group of broken fibres surrounded by a number of intact fibres with hexagonal arrangement. The mathematical developments used are presented to justify the distribution form of the stresses around broken fibre and adjacent intact fibres. To follow the evolution of the damage in regions of debonding and local plasticity; we proceeded to a progressive increase in the fiber volume fraction and tensile external load. This, procedure enable us to evaluate the extension of the region locally plasticized, the ineffective region, the stress concentration and the longitudinal displacement of broken and intact fibres, in function of broken fibres number and specimen length. As fiber breaks are intrinsically random, the variability of input data allows us to describe the probabilistic model by using the Monte-Carlo method. The sensitivities of the mechanical response are evaluated regarding the uncertainties in design variables such as Young’s modulus of fibers and matrix, fiber reference strength, shear yield stress, fiber volume fraction and shear parameter defining the shear stress in the inelastic region.

  14. On second order sensitivity for stage-based population projection matrix models.

    McCarthy, Dominic; Townley, Stuart; Hodgson, Dave


    In this paper we present a simple method for identifying life-history perturbations in population projection matrices that yield an accelerating population growth rate. Accelerating growth means that the dependence of the growth rate on the perturbation is convex. Convexity, when the second sensitivity of the growth rate is positive, is calculated using a new formula derived from the transfer function of the perturbed system. This formula is used to explore the relationship between stasis and growth probabilities from stage-structured population projection matrices.

  15. GSMA: Gene Set Matrix Analysis, An Automated Method for Rapid Hypothesis Testing of Gene Expression Data

    Chris Cheadle


    Full Text Available Background: Microarray technology has become highly valuable for identifying complex global changes in gene expression patterns. The assignment of functional information to these complex patterns remains a challenging task in effectively interpreting data and correlating results from across experiments, projects and laboratories. Methods which allow the rapid and robust evaluation of multiple functional hypotheses increase the power of individual researchers to data mine gene expression data more efficiently.Results: We have developed (gene set matrix analysis GSMA as a useful method for the rapid testing of group-wise up- or downregulation of gene expression simultaneously for multiple lists of genes (gene sets against entire distributions of gene expression changes (datasets for single or multiple experiments. The utility of GSMA lies in its flexibility to rapidly poll gene sets related by known biological function or as designated solely by the end-user against large numbers of datasets simultaneously.Conclusions: GSMA provides a simple and straightforward method for hypothesis testing in which genes are tested by groups across multiple datasets for patterns of expression enrichment.

  16. Projection Theory and Its Application into Media Discourse Analysis



    Projection is a kind of logical-semantic relation which refers to the phenomenon that the secondary clause is projected through the primary clause, which instates it as a locution or an idea. Halliday conducts the basic research on projection from the functional perspective. Then Martin and Zeng try to develop Halliday's projection theory, resulting in a comprehensive framework of projection. Finally the projection theory is applied into the analysis of a sample media discourse. And projection theory is of great help in its application into media discourse analysis.

  17. Analytical development of disturbed matrix eigenvalue problem applied to mixed convection stability analysis in Darcy media

    Hamed, Haikel Ben; Bennacer, Rachid


    This work consists in evaluating algebraically and numerically the influence of a disturbance on the spectral values of a diagonalizable matrix. Thus, two approaches will be possible; to use the theorem of disturbances of a matrix depending on a parameter, due to Lidskii and primarily based on the structure of Jordan of the no disturbed matrix. The second approach consists in factorizing the matrix system, and then carrying out a numerical calculation of the roots of the disturbances matrix characteristic polynomial. This problem can be a standard model in the equations of the continuous media mechanics. During this work, we chose to use the second approach and in order to illustrate the application, we choose the Rayleigh-Bénard problem in Darcy media, disturbed by a filtering through flow. The matrix form of the problem is calculated starting from a linear stability analysis by a finite elements method. We show that it is possible to break up the general phenomenon into other elementary ones described respectively by a disturbed matrix and a disturbance. A good agreement between the two methods was seen. To cite this article: H.B. Hamed, R. Bennacer, C. R. Mecanique 336 (2008).

  18. Modelling of polypropylene fibre-matrix composites using finite element analysis


    Full Text Available Polypropylene (PP fibre-matrix composites previously prepared and studied experimentally were modelled using finite element analysis (FEA in this work. FEA confirmed that fibre content and composition controlled stress distribution in all-PP composites. The stress concentration at the fibre-matrix interface became greater with less fibre content. Variations in fibre composition were more significant in higher stress regions of the composites. When fibre modulus increased, the stress concentration at the fibres decreased and the shear stress at the fibre-matrix interface became more intense. The ratio between matrix modulus and fibre modulus was important, as was the interfacial stress in reducing premature interfacial failure and increasing mechanical properties. The model demonstrated that with low fibre concentration, there were insufficient fibres to distribute the applied stress. Under these conditions the matrix yielded when the applied stress reached the matrix yield stress, resulting in increased fibre axial stress. When the fibre content was high, there was matrix depletion and stress transfer was inefficient. The predictions of the FEA model were consistent with experimental and published data.

  19. Exponential parameterization of the neutrino mixing matrix: comparative analysis with different data sets and CP violation

    Zhukovsky, K.; Borisov, A. [M.V. Lomonosov Moscow State University, Department of Theoretical Physics, Faculty of Physics, Moscow (Russian Federation)


    The exponential parameterization of the Pontecorvo-Maki-Nakagawa-Sakata mixing matrix for neutrino is used for a comparative analysis of different neutrino mixing data. The U{sub PMNS} matrix is considered as the element of the SU(3) group and the second-order matrix polynomial is constructed for it. The inverse problem of constructing the logarithm of the mixing matrix is addressed. In this way the standard parameterization is exactly related to the exponential parameterization. The exponential form allows easy factorization and separate analysis of the rotation and the CP violation. With the most recent experimental data on neutrino mixing (May 2016), we calculate the values of the exponential parameterization matrix for neutrinos with account for the CP violation. The complementarity hypothesis for quarks and neutrinos is demonstrated to hold, despite a significant change in the neutrino mixing data. The values of the entries of the exponential mixing matrix are evaluated with account for the actual degree of the CP violation in neutrino mixing and without it. Various factorizations of the CP-violating term are investigated in the framework of the exponential parameterization. (orig.)

  20. Improved MALDI imaging MS analysis of phospholipids using graphene oxide as new matrix

    Wang, Zhongjie; Cai, Yan; Wang, Yi; Zhou, Xinwen; Zhang, Ying; Lu, Haojie


    Matrix assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is an increasingly important technique for detection and spatial localization of phospholipids on tissue. Due to the high abundance and being easy-to-ionize of phosphatidylcholine (PC), therefore, selecting matrix to yield signals of other lipids has become the most crucial factor for a successful MALDI-IMS analysis of phospholipids. Herein, graphene oxide (GO) was proposed as a new matrix to selectively enhance the detection of other types of phospholipids that are frequently suppressed by the presence of PC in positive mode. Compared to the commonly used matrix DHB, GO matrix significantly improved signal-to-noise ratios of phospholipids as a result of its high desorption/ionization efficiency for nonpolar compounds. Also, GO afforded homogeneous crystallizations with analytes due to its monolayer structure and good dispersion, resulting in better reproducibility of shot-to-shot (CV < 13%) and spot-to-spot (CV < 14%) analysis. Finally, GO matrix was successfully applied to simultaneous imaging of PC, PE, PS and glycosphingolipid in the mouse brain, with a total of 65 phospholipids identified. PMID:28294158

  1. Characteristic analysis on UAV-MIMO channel based on normalized correlation matrix.

    Gao, Xi jun; Chen, Zi li; Hu, Yong Jiang


    Based on the three-dimensional GBSBCM (geometrically based double bounce cylinder model) channel model of MIMO for unmanned aerial vehicle (UAV), the simple form of UAV space-time-frequency channel correlation function which includes the LOS, SPE, and DIF components is presented. By the methods of channel matrix decomposition and coefficient normalization, the analytic formula of UAV-MIMO normalized correlation matrix is deduced. This formula can be used directly to analyze the condition number of UAV-MIMO channel matrix, the channel capacity, and other characteristic parameters. The simulation results show that this channel correlation matrix can be applied to describe the changes of UAV-MIMO channel characteristics under different parameter settings comprehensively. This analysis method provides a theoretical basis for improving the transmission performance of UAV-MIMO channel. The development of MIMO technology shows practical application value in the field of UAV communication.

  2. Application of Z-sinapinic matrix in peptide MALDI-MS analysis.

    Salum, M L; Giudicessi, S L; Schmidt De León, T; Camperi, S A; Erra-Balsells, R


    Since introduction of sinapinic acid (SA) and α-cyano-4-hydroxycinnamic acid as matrices, successful application of matrix-assisted laser desorption/ionization mass spectrometry started for protein/polypeptides. Both show some limitations in short peptide analysis because matrix clusters are quite abundant. Cinnamics currently used are E-cinnamics. Here, Z-SA as matrix for peptides is studied and compared with E-SA and α-cyano-4-hydroxycinnamic acid. Minor number of clusters is always observed in the low m/z region allowing the detection of short peptides. The results here described show that this novel matrix is a tool of choice for direct, rapid and sensitive detection of hydrophilic and hydrophobic peptides. Copyright © 2017 John Wiley & Sons, Ltd.


    Jian ZHANG


    The principal component analysis (PCA) is one of the most celebrated methods in analysing multivariate data. An effort of extending PCA is projection pursuit (PP), a more general class of dimension-reduction techniques. However, the application of this extended procedure is often hampered by its complexity in computation and by lack of some appropriate theory. In this paper, by use of the empirical processes we established a large sample theory for the robust PP estimators of the principal components and dispersion matrix.

  4. Carbon nanotube-reinforced composites: frequency analysis theories based on the matrix stiffness

    Amin, Sara Shayan; Dalir, Hamid; Farshidianfar, Anooshirvan


    Strong and versatile carbon nanotubes are finding new applications in improving conventional polymer-based fibers and films. This paper studies the influence of matrix stiffness and the intertube radial displacements on free vibration of an individual double-walled carbon nanotube (DWNT). For this, a double elastic beam model is presented for frequency analysis in a DWNT embedded in an elastic matrix. The analysis is based on both Euler-Bernoulli and Timoshenko beam theories which considers shear deformation and rotary inertia and for both concentric and non-concentric assumptions considering intertube radial displacements and the related internal degrees of freedom. New intertube resonant frequencies and the associated non-coaxial vibrational modes are calculated. Detailed results are demonstrated for the dependence of resonant frequencies and mode shapes on the matrix stiffness. The results indicate that internal radial displacement and surrounding matrix stiffness could substantially affect resonant frequencies especially for longer double-walled carbon nanotubes of larger innermost radius at higher resonant frequencies, and thus the latter does not keep the otherwise concentric structure at ultrahigh frequencies. Therefore, depending on the matrix stiffness, for carbon nanotubes reinforced composites, different analysis techniques should be used while the aspect ratio of carbon nanotubes has a little effect on the analysis theory which should be selected.

  5. Amino Acids Analysis by MALDI Mass Spectrometry Using Carbon Nanotube as Matrix

    张菁; 王昊阳; 郭寅龙


    Twenty common amino acids have been analyzed successfully by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) using carbon nanotubes as matrix. From the spectra, little or no background interference or fragmentation of the analytes has been observed. This method was also applied to the analysis of amino acid mixture successfully. Carbon nanotubes have some features such as large surface area to disperse the analyte molecules sufficiently and prevent the sample aggregation and strong ultraviolet absorption to transfer energy easily to the analyte molecules. The present method has potential application for the rapid and sensitive analysis of amino acids and their mixture.

  6. 6430.1A Compliance Matrix for 241-SY-101 Surface Level Rise Remediation Project

    ERHART, M.F.


    This document shows compliance with DOE order 6430.1A of the 241-SY-101 RAPID Mitigation system. The purpose of this document is to record the design attributes of the RAPID Mitigation System which fulfill the pertinent requirements specified in DOE Order 6430.1A-General Design Criteria. Those pertinent Order requirements which are not met by the project at the time of the release of this document are recorded and noted as open items in Section 4.0-Conclusions.

  7. Oxide_Oxide Ceramic Matrix Composite (CMC) Exhaust Mixer Development in the NASA Environmentally Responsible Aviation (ERA) Project

    Kiser, J. Douglas; Bansal, Narottam P.; Szelagowski, James; Sokhey, Jagdish; Heffernan, Tab; Clegg, Joseph; Pierluissi, Anthony; Riedell, Jim; Wyen, Travis; Atmur, Steven; hide


    LibertyWorks®, a subsidiary of Rolls-Royce Corporation, first studied CMC (ceramic matrix composite) exhaust mixers for potential weight benefits in 2008. Oxide CMC potentially offered weight reduction, higher temperature capability, and the ability to fabricate complex-shapes for increased mixing and noise suppression. In 2010, NASA was pursuing the reduction of NOx emissions, fuel burn, and noise from turbine engines in Phase I of the Environmentally Responsible Aviation (ERA) Project (within the Integrated Systems Research Program). ERA subtasks, including those focused on CMC components, were being formulated with the goal of maturing technology from Proof of Concept Validation (Technology Readiness Level 3 (TRL 3)) to System/Subsystem or Prototype Demonstration in a Relevant Environment (TRL 6). LibertyWorks®, a subsidiary of Rolls-Royce Corporation, first studied CMC (ceramic matrix composite) exhaust mixers for potential weight benefits in 2008. Oxide CMC potentially offered weight reduction, higher temperature capability, and the ability to fabricate complex-shapes for increased mixing and noise suppression. In 2010, NASA was pursuing the reduction of NOx emissions, fuel burn, and noise from turbine engines in Phase I of the Environmentally Responsible Aviation (ERA) Project (within the Integrated Systems Research Program). ERA subtasks, including those focused on CMC components, were being formulated with the goal of maturing technology from Proof of Concept Validation (Technology Readiness Level 3 (TRL 3)) to System/Subsystem or Prototype Demonstration in a Relevant Environment (TRL 6). Oxide CMC component at both room and elevated temperatures. A TRL˜5 (Component Validation in a Relevant Environment) was attained and the CMC mixer was cleared for ground testing on a Rolls-Royce AE3007 engine for performance evaluation to achieve TRL 6.

  8. Towards sentiment analysis application in housing projects

    Mahadzir, Nurul Husna; Omar, Mohd Faizal; Nawi, Mohd Nasrun Mohd


    In becoming a develop nation by 2020, Malaysia Government realized the need in providing affordable house to the public. Since Second Malaysia Plan, government has implemented various affordable housing projects and it continues until recent Malaysia Plan. To measure the effectiveness of the initiatives taken, public opinion is necessary. A social media platform has been seen as the most effective mechanism to get information on people's thought and feeling towards certain issues. One of the best ways to extract emotions and thoughts from what people post in social media is through Sentiment Analysis (SA). There are three different levels of analysis: document level, sentence level and feature level. Most of previous research focused on the classification of sentiment at document or sentence level. Unfortunately, both document and sentence level does not discover what exactly people like or not. While the analysis based on feature, there exist accuracy problem when classifying the sentiment scores. This paper will propose a new framework that focuses on sentiment classification scores at feature level to overcome the uncertainty and accuracy issues on the result.

  9. Benefits Analysis of Past Projects. Volume 2. Individual Project Assessments.


    Tennessee Avenue Component Repair Facility in incinnati and at its Singapore, Malaysia repair facility. The Stage I X-40 vane is H2 cleaned, and the...purity (high resistivity) silicon for production of the laser detectors for the Laser Maverick , Hellfire, and PAVEWAY guidance systems was Wacker, a...produced in the project were shipped to RCA and Ilughes to fabricate samples of the Laser Maverick and Hellfire detectors, which we r, evaluated for

  10. Accuracy of Pseudo-Inverse Covariance Learning--A Random Matrix Theory Analysis.

    Hoyle, David C


    For many learning problems, estimates of the inverse population covariance are required and often obtained by inverting the sample covariance matrix. Increasingly for modern scientific data sets, the number of sample points is less than the number of features and so the sample covariance is not invertible. In such circumstances, the Moore-Penrose pseudo-inverse sample covariance matrix, constructed from the eigenvectors corresponding to nonzero sample covariance eigenvalues, is often used as an approximation to the inverse population covariance matrix. The reconstruction error of the pseudo-inverse sample covariance matrix in estimating the true inverse covariance can be quantified via the Frobenius norm of the difference between the two. The reconstruction error is dominated by the smallest nonzero sample covariance eigenvalues and diverges as the sample size becomes comparable to the number of features. For high-dimensional data, we use random matrix theory techniques and results to study the reconstruction error for a wide class of population covariance matrices. We also show how bagging and random subspace methods can result in a reduction in the reconstruction error and can be combined to improve the accuracy of classifiers that utilize the pseudo-inverse sample covariance matrix. We test our analysis on both simulated and benchmark data sets.

  11. Analysis of variance of designed chromatographic data sets: The analysis of variance-target projection approach.

    Marini, Federico; de Beer, Dalene; Joubert, Elizabeth; Walczak, Beata


    Direct application of popular approaches, e.g., Principal Component Analysis (PCA) or Partial Least Squares (PLS) to chromatographic data originating from a well-designed experimental study including more than one factor is not recommended. In the case of a well-designed experiment involving two or more factors (crossed or nested), data are usually decomposed into the contributions associated with the studied factors (and with their interactions), and the individual effect matrices are then analyzed using, e.g., PCA, as in the case of ASCA (analysis of variance combined with simultaneous component analysis). As an alternative to the ASCA method, we propose the application of PLS followed by target projection (TP), which allows a one-factor representation of the model for each column in the design dummy matrix. PLS application follows after proper deflation of the experimental matrix, i.e., to what are called the residuals under the reduced ANOVA model. The proposed approach (ANOVA-TP) is well suited for the study of designed chromatographic data of complex samples. It allows testing of statistical significance of the studied effects, 'biomarker' identification, and enables straightforward visualization and accurate estimation of between- and within-class variance. The proposed approach has been successfully applied to a case study aimed at evaluating the effect of pasteurization on the concentrations of various phenolic constituents of rooibos tea of different quality grades and its outcomes have been compared to those of ASCA.

  12. Analysis and projections of physics in Chile

    Soto, Leopoldo; Zambra, Marcelo [Comision Chilena de EnergIa Nuclear, Casilla 188D, Santiago (Chile); Loewe, Marcelo [Pontificia Universidad Catolica de Chile, Facultad de Fisica, Av. Vicuna Mackenna 4860, Santiago (Chile); Gutierrez, Gonzalo; Molina, Mario [Universidad de Chile, Facultad de Ciencias, Las Palmeras 3425, Nunoa, Santiago (Chile); Barra, Felipe; Lund, Fernando [Universidad de Chile, Facultad de Ciencias Fisicas y Matematicas, Av. Blanco Encalada 2008, Santiago (Chile); Saavedra, Carlos [Universidad de Conception, Departamento de Fisica, Esteban Iturra S/N, Barrio Universitario, Conception (Chile); Haberle, Patricio [Universidad Tecnica Federico Santa MarIa, Departamento de Fisica, Av. Espana 1680, Valparaiso (Chile)], E-mail:


    In the present work, an assessment of the Physics research capacity in Chile is presented. For this, the period between 2000 and June 2005 has been studied. In this period almost 200 physicists have contributed to scientific production in terms of ISI publications. Amongst these 200, {approx}160 correspond to theoretical physicists and only {approx}40 to experimental physicists; {approx}178 are men and only {approx}22 are women. A more detailed analysis shows that {approx}160 physicists have at least one appearance in ISI publications per year considering the last 3 years. Ten years ago, a similar criteria (at least one appearance per year in ISI articles, considering mobile three-year periods), the number of active physicists in the Chilean community was estimated at 70. Therefore, the Chilean active physicists' community has doubled in 10 years. There exist 20 centres in which scientific research is developed: 18 university centres, a government institute and a private institute. As regards scientific productivity, both as related to disciplines or research areas, and well as in relation to research centres, it is found that, generally, scientific production, in a particular area in Physics or in a research centre, is directly related to the number of corresponding researchers; that is to say, the percentage of the national productivity in an area or research centre corresponds to its share in the total number of physicists in the country. A geographical analysis shows that 50% of the productivity corresponds to Santiago and 50% to the rest of the country. The impact of the different funds for research is assessed, also: FONDECYT, Presidential Chairs and large projects and centres of excellence. According to Physics researchers opinion, Fondo Nacional de Ciencia y TecnologIa (FONDECYT, National Fund fro Science and Technology) has become the best instrument to support researchi activities in Chile. However, the amount of projects awarded has practically not

  13. Analysis and projections of physics in Chile

    Soto, Leopoldo; Zambra, Marcelo; Loewe, Marcelo; Gutiérrez, Gonzalo; Molina, Mario; Barra, Felipe; Lund, Fernando; Saavedra, Carlos; Haberle, Patricio


    In the present work, an assessment of the Physics research capacity in Chile is presented. For this, the period between 2000 and June 2005 has been studied. In this period almost 200 physicists have contributed to scientific production in terms of ISI publications. Amongst these 200, ~160 correspond to theoretical physicists and only ~40 to experimental physicists; ~178 are men and only ~22 are women. A more detailed analysis shows that ~160 physicists have at least one appearance in ISI publications per year considering the last 3 years. Ten years ago, a similar criteria (at least one appearance per year in ISI articles, considering mobile three-year periods), the number of active physicists in the Chilean community was estimated at 70. Therefore, the Chilean active physicists' community has doubled in 10 years. There exist 20 centres in which scientific research is developed: 18 university centres, a government institute and a private institute. As regards scientific productivity, both as related to disciplines or research areas, and well as in relation to research centres, it is found that, generally, scientific production, in a particular area in Physics or in a research centre, is directly related to the number of corresponding researchers; that is to say, the percentage of the national productivity in an area or research centre corresponds to its share in the total number of physicists in the country. A geographical analysis shows that 50% of the productivity corresponds to Santiago and 50% to the rest of the country. The impact of the different funds for research is assessed, also: FONDECYT, Presidential Chairs and large projects and centres of excellence. According to Physics researchers opinion, Fondo Nacional de Ciencia y Tecnología (FONDECYT, National Fund fro Science and Technology) has become the best instrument to support researchi activities in Chile. However, the amount of projects awarded has practically not been increased, which is insufficient

  14. Phosphoric acid as a matrix additive for MALDI MS analysis of phosphopeptides and phosphoproteins

    Kjellström, Sven; Jensen, Ole Nørregaard


    Phosphopeptides are often detected with low efficiency by MALDI MS analysis of peptide mixtures. In an effort to improve the phosphopeptide ion response in MALDI MS, we investigated the effects of adding low concentrations of organic and inorganic acids during peptide sample preparation in 2......,5-dihydroxybenzoic acid (2,5-DHB) matrix. Phosphoric acid in combination with 2,5-DHB matrix significantly enhanced phosphopeptide ion signals in MALDI mass spectra of crude peptide mixtures derived from the phosphorylated proteins alpha-casein and beta-casein. The beneficial effects of adding up to 1% phosphoric...... acid to 2,5-DHB were also observed in LC-MALDI-MS analysis of tryptic phosphopeptides of B. subtilis PrkC phosphoprotein. Finally, the mass resolution of MALDI mass spectra of intact proteins was significantly improved by using phosphoric acid in 2,5-DHB matrix....

  15. GPU-Accelerated Sparse Matrix Solvers for Large-Scale Simulations Project

    National Aeronautics and Space Administration — At the heart of scientific computing and numerical analysis are linear algebra solvers. In scientific computing, the focus is on the partial differential equations...

  16. Random Matrix Theory Approach to Indonesia Energy Portfolio Analysis

    Mahardhika, Alifian; Purqon, Acep


    In a few years, Indonesia experienced difficulties in maintaining energy security, the problem is the decline in oil production from 1.6 million barrels per day to 861 thousand barrels per day in 2012. However, there is a difference condition in 2015 until the third week in 2016, world oil prices actually fell at the lowest price level since last 12 years. The decline in oil prices due to oversupply of oil by oil-producing countries of the world due to the instability of the world economy. Wave of layoffs in Indonesia is a response to the decline in oil prices, this led to the energy and mines portfolios Indonesia feared would not be more advantageous than the portfolio in other countries. In this research, portfolio analysis will be done on energy and mining in Indonesia by using stock price data of energy and mines in the period 26 November 2010 until April 1, 2016. It was found that the results have a wide effect of the market potential is high in the determination of the return on the portfolio energy and mines. Later, it was found that there are eight of the thirty stocks in the energy and mining portfolio of Indonesia which have a high probability of return relative to the average return of stocks in a portfolio of energy and mines.

  17. A Principal Component Analysis of Project Management Construction Industry Competencies for the Ghanaian

    Rockson Dobgegah


    Full Text Available The study adopts a data reduction technique to examine the presence of any complex structure among a set of project management competency variables. A structured survey questionnaire was administered to 100 project managers to elicit relevant data, and this achieved a relatively high response rate of 54%. After satisfying all the necessary tests of reliability of the survey instrument, sample size adequacy and population matrix, the data was subjected to principal component analysis, resulting in the identification of six new thematic project management competency areas ; and were explained in terms of human resource management and project control; construction innovation and communication; project financial resources management; project risk and quality management; business ethics and; physical resources and procurement management. These knowledge areas now form the basis for lateral project management training requirements in the context of the Ghanaian construction industry. Key contribution of the paper is manifested in the use of the principal component analysis, which has rigorously provided understanding into the complex structure and the relationship between the various knowledge areas. The originality and value of the paper is embedded in the use of contextual-task conceptual knowledge to expound the six uncorrelated empirical utility of the project management competencies.

  18. An Analysis of the Retention of a Diamond Particle in a Metallic Matrix after Hot Pressing

    Borowiecka-Jamrozek J.


    Full Text Available This paper deals with computer modelling of the retention of a synthetic diamond particle in a metallic matrix produced by powder metallurgy. The analyzed sintered powders can be used as matrices for diamond impregnated tools. First, the behaviour of sintered cobalt powder was analyzed. The model of a diamond particle embedded in a metallic matrix was created using Abaqus software. The preliminary analysis was performed to determine the mechanical parameters that are independent of the shape of the crystal. The calculation results were compared with the experimental data. Next, sintered specimens obtained from two commercially available powder mixtures were studied. The aim of the investigations was to determine the influence of the mechanical and thermal parameters of the matrix materials on their retentive properties. The analysis indicated the mechanical parameters that are responsible for the retention of diamond particles in a matrix. These mechanical variables have been: the elastic energy of particle, the elastic energy of matrix and the radius of plastic zone around particle.

  19. An Automatic Text-Analysis Project for EFL Writing Revision.

    Liou, Hsien-Chin


    A year-long project to develop an automatic English grammar text-analysis for Chinese students in Taiwan to help writing revision processes is described. The project analyzed 135 writing samples, developed an electronic dictionary, and researched error analysis, linguistic analysis, and natural language processing in computational linguistics.…

  20. Lac Courte Oreilles Energy Analysis Project

    Leslie Isham; Denise Johnson


    assessment and funding to do so will be sought. While we already are in ownership of a Hydro Dam it is currently not functioning to its full capacity we are seeking operation and maintenance firm proposals and funding sources. One of our biggest accomplishment this project gave us was our total Carbon Emissions 9989.45 tons, this will be the number that we will use to base our reductions from. It will help us achieve our goals we have set for ourselves in achieving the Kyoto Protocol and saving our Earth for our future generations. Another major accomplishment and lesson learned is we need to educate ourselves and our people on how to conserve energy to both impact the environment and our own budgets. The Lac Courte Oreilles (LCO) Energy Analysis Project will perform an energy audit to gather information on the Tribe's energy usage and determine the carbon emissions. By performing the audit we will be able to identify areas where conservation efforts are most viable and recommend policies that can be implemented. These steps will enable LCO to begin achieving the goals that have been set by the Tribal Governing Board and adopted through resolutions. The goals are to reduce emissions by 25% and to produce 25% of its energy using sustainable sources. The project objectives were very definitive to assist the Tribe in achieving its goals; reducing carbon emissions and obtaining a sustainable source of energy. The following were the outlined objectives: (1) Coordinate LCO's current and future conservation and renewable energy projects; (2) Establish working relationships with outside entities to share information and collaborate on future projects; (3) Complete energy audit and analyze LCO's energy load and carbon emissions; (4) Identify policy changes, education programs and conservation efforts which are appropriate for the LCO Reservation; and (5) Create a plan to identify the most cost effective renewable energy options for LCO.

  1. Questions First: Introducing Critical Thinking Using the Text Analysis Matrix (TAM)

    Keller, J. Gregory


    Critical thinking skills are crucial for both academic and everyday life. This paper presents the author's Text Analysis Matrix (TAM), a model for developing skills for the critical examination of texts. The TAM guidelines involve finding and clarifying the main claims of a text, discovering and assessing arguments, uncovering the implications for…

  2. Non-negative matrix analysis in x-ray spectromicroscopy: choosing regularizers

    Mak, Rachel; Wild, Stefan M.; Jacobsen, Chris


    In x-ray spectromicroscopy, a set of images can be acquired across an absorption edge to reveal chemical speciation. We previously described the use of non-negative matrix approximation methods for improved classification and analysis of these types of data. We present here an approach to find appropriate values of regularization parameters for this optimization approach. PMID:27041779

  3. Partial Refactorization in Sparse Matrix Solution: A New Possibility for Faster Nonlinear Finite Element Analysis

    Qi Song


    Full Text Available This paper proposes a partial refactorization for faster nonlinear analysis based on sparse matrix solution, which is nowadays the default solution choice in finite element analysis and can solve finite element models up to millions degrees of freedom. Among various fill-in’s reducing strategies for sparse matrix solution, the graph partition is in general the best in terms of resultant fill-ins and floating-point operations and furthermore produces a particular graph of sparse matrix that prevents local change of entries from wide spreading in factorization. Based on this feature, an explicit partial triangular refactorization with local change is efficiently constructed with limited additional storage requirement in row-sparse storage scheme. The partial refactorization of the changed stiffness matrix inherits a big percentage of the original factor and is carried out only on partial factor entries. The proposed method provides a new possibility for faster nonlinear analysis and is mainly suitable for material nonlinear problems and optimization problems. Compared to full factorization, it can significantly reduce the factorization time and can make nonlinear analysis more efficient.

  4. Analysis Matrix of Resilience in the Face of Disability, Old Age and Poverty

    Cardenas, Andrea; Lopez, Lucero


    The purpose of this article is to describe the process of the development of the "Resilience Theoretical Analysis Matrix" (RTAM) (or in its Spanish translation: MATR), a tool designed to facilitate a coherent and organised approach to the assessment of a wide spectrum of factors influencing the development of resilience in the face of disability,…

  5. Conversion Matrix Analysis of GaAs HEMT Active Gilbert Cell Mixers

    Jiang, Chenhui; Johansen, Tom Keinicke; Krozer, Viktor


    In this paper, the nonlinear model of the GaAs HEMT active Gilbert cell mixer is investigated. Based on the model, the conversion gain expression of active Gilbert cell mixers is derived theoretically by using conversion matrix analysis method. The expression is verified by harmonic balance simul...... simulation with Angelov HEMT model in Agilent Advanced Design System (ADS) and by chip measurement results....



    A new fault tree analysis (FTA) computation method is put forth by using modularization technique in FTA with cut sets matrix, and can reduce NP (Nondeterministic polynomial) difficulty effectively. This software can run in IBM-PC and DOS 3.0 and up. The method provides theoretical basis and computation tool for application of FTA technique in the common engineering system

  7. Aiming to Complete the Matrix: Eye-Movement Analysis of Processing Strategies in Children's Relational Thinking

    Chen, Zhe; Honomichl, Ryan; Kennedy, Diane; Tan, Enda


    The present study examines 5- to 8-year-old children's relation reasoning in solving matrix completion tasks. This study incorporates a componential analysis, an eye-tracking method, and a microgenetic approach, which together allow an investigation of the cognitive processing strategies involved in the development and learning of children's…

  8. Application of AHP-Ansoff Matrix Analysis in Business Diversification: The case of Evergrande Group

    Yin Nan


    Full Text Available A new method of enterprise strategic research, the AHP—Ansoff Matrix analysis method, is put forward in this paper for the first time and applied in the enterprise practices. By using this research method, the development strategy of enterprise diversification is analyzed scientifically and reasonably with Evergrande group as the example. And finally, main procedures of the method are summarized.

  9. Web Based Distributed Coastal Image Analysis System Project

    National Aeronautics and Space Administration — This project develops Web based distributed image analysis system processing the Moderate Resolution Imaging Spectroradiometer (MODIS) data to provide decision...

  10. Linear matrix inequalities for analysis and control of linear vector second-order systems

    Adegas, Fabiano D. [Aalborg Univ. (Denmark); Stoustrup, Jakob [Aalborg Univ. (Denmark)


    Many dynamical systems are modeled as vector second-order differential equations. This paper presents analysis and synthesis conditions in terms of LMI with explicit dependence in the coefficient matrices of vector second-order systems. These conditions benefit from the separation between the Lyapunov matrix and the system matrices by introducing matrix multipliers, which potentially reduce conservativeness in hard control problems. Multipliers facilitate the usage of parameter-dependent Lyapunov functions as certificates of stability of uncertain and time-varying vector second-order systems. The conditions introduced in this work have the potential to increase the practice of analyzing and controlling systems directly in vector second-order form.

  11. Matrix Factorization and Matrix Concentration

    Mackey, Lester


    Motivated by the constrained factorization problems of sparse principal components analysis (PCA) for gene expression modeling, low-rank matrix completion for recommender systems, and robust matrix factorization for video surveillance, this dissertation explores the modeling, methodology, and theory of matrix factorization.We begin by exposing the theoretical and empirical shortcomings of standard deflation techniques for sparse PCA and developing alternative methodology more suitable for def...

  12. A Trend Analysis of Competition Positioning in Chinese Seaports by Using DEA Model and BCG Matrix

    Hoki Nam


    <正>This paper has shown the trend of competition positioning of ten critical Chinese seaports from 2003 to 2006 by using DEA model for the performance efficiency analysis and BCG matrix,which consists of relative market share and growth rate as well as the scores of both BCC and CCR in the vertical and horizontal axis of BCG matrix.The expected results will include the total economic efficiency ranking of each Chinese seaport,and the relative competitive positioning in terms of growth rate and efficiency scores.The main policy implication of this paper is to emphasize the DEA model and BCG matrix method can support the seaport managers the basic information for planning the future port management for enhancing the competitive positioning among Chinese seaports.

  13. Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach

    Rojkova, Viktoria


    The traffic behavior of University of Louisville network with the interconnected backbone routers and the number of Virtual Local Area Network (VLAN) subnets is investigated using the Random Matrix Theory (RMT) approach. We employ the system of equal interval time series of traffic counts at all router to router and router to subnet connections as a representation of the inter-VLAN traffic. The cross-correlation matrix C of the traffic rate changes between different traffic time series is calculated and tested against null-hypothesis of random interactions. The majority of the eigenvalues \\lambda_{i} of matrix C fall within the bounds predicted by the RMT for the eigenvalues of random correlation matrices. The distribution of eigenvalues and eigenvectors outside of the RMT bounds displays prominent and systematic deviations from the RMT predictions. Moreover, these deviations are stable in time. The method we use provides a unique possibility to accomplish three concurrent tasks of traffic analysis. The metho...

  14. Clarifying Analysis and Interpretation in Grounded Theory: Using a Conditional Relationship Guide and Reflective Coding Matrix

    Karen Wilson Scott PhD


    Full Text Available Although qualitative methods, grounded theory included, cannot be reduced to formulaic procedures, research tools can clarify the process. The authors discuss two instruments supporting grounded theory analysis and interpretation using two examples from doctoral students. The conditional relationship guide contextualizes the central phenomenon and relates categories linking structure with process. The reflective coding matrix serves as a bridge to the final phase of grounded theory analysis, selective coding and interpretation, and, ultimately, to substantive theory generation.

  15. Project manager insights: An analysis of career progression

    James W Marion


    Full Text Available The project manager is key to the success of any project.  But the path to becoming a successful project manager is ill defined.  In this study, the authors analyzed interview results of 87 project managers’ responses to questions associated with entry into the field, career progression, and advice for the new project manager, seeking to better understand practicing project manager career progression.  Qualitative analysis techniques were used to identify recurring themes from the interview summaries. The themes and the resulting conceptual framework provide evidence that supports the development of successful project manager career path. Further, the results suggest individual project management competencies in soft skills as a key enabler of project execution.

  16. Comparing the power and influence of functional managers with that of project managers in matrix organisations: The challenge in duality of command

    Dylon Moodley


    Full Text Available Since its inception four decades ago, there has been widespread adoption of the matrix organisational design, particularly in project-based organisations. However, several challenges remain, one of which is related to the ambiguity of authority as a result of the dual command structure. This study examines the perceptions of the types of power and influence mechanisms used by the functional manager and the project manager to influence project personnel, and the effect of these mechanisms on attitudinal outcomes. The research used a two-phase design. The first qualitative phase validated the constructs of power and influence. In Phase 2, quantitative data was obtained from 22 functional managers, 28 project managers and 92 project personnel in South Africa, Italy and Canada from one large project execution technology company. There appears to be a large perceptual gap between project managers, functional managers and project personnel. Managers perceive themselves to be using aspirational and personal influence mechanisms, whereas project personnel perceive the managers to be using positional, punitive mechanisms. Relationships were observed between the perceived type of influence being used by the managers and the project personnel’s satisfaction with their manager, overall job satisfaction, their performance and level of engagement. Functional and project managers are associated with very different attitudinal outcomes among project team members.

  17. Matrix influence on derivatization and ionization processes during selenoamino acid liquid chromatography electrospray ionization mass spectrometric analysis.

    Rebane, Riin; Oldekop, Maarja-Liisa; Herodes, Koit


    Considering the importance of derivatization in LC/ESI/MS analysis, the objective of this work was to develop a method for evaluation of matrix effect that would discriminate between matrix effect due to the derivatization reaction yield and from the ESI. Four derivatization reagents (TAHS, DEEMM, DNS, FMOC-Cl) were studied with respect to matrix effects using two selenoamino acids and onion matrix as model system. A novel method for assessing matrix effects of LC/ESI/MS analyses involving derivatization is proposed, named herein post-derivatization spiking, that allows evaluating effect of matrix on ESI ionization without derivatization reaction yield contribution. The proposed post-derivatization spiking method allowed to demonstrate that the reason of reduced analytical signal can be signal suppression in ESI (as in case of DNS derivatives with matrix effects 38-99%), alteration of derivatization reaction yield (TAHS, matrix effects 92-113%, but reaction yields 20-50%) or both (FMOC-Cl, matrix effects 28-88% and reaction yields 50-70%). In case of DEEMM derivatives, matrix reduces reaction yield but enhances ESI/MS signal. A method for matrix effect evaluation was developed. It was also confirmed that matrix effects can be reduced by dilution.

  18. Graduate Student Project: Employer Operations Management Analysis

    Fish, Lynn A.


    Part-time graduate students at an Association to Advance Collegiate Schools of Business-accredited college complete a unique project by applying operations management concepts to their current employer. More than 92% of 368 graduates indicated that this experiential project was a positive learning experience, and results show a positive impact on…

  19. Direct Surface Analysis of Fungal Species by Matrix-assisted Laser Desorption/Ionization Mass Spectrometry



    Intact spores and/or hyphae of Aspergillus niger, Rhizopus oryzae, Trichoderma reesei and Phanerochaete chrysosporium are analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). This study investigates various methods of sample preparation and matrices to determine optimum collection and analysis criteria for fungal analysis by MALDI-MS. Fungi are applied to the MALDI sample target as untreated, sonicated, acid/heat treated, or blotted directly from the fungal culture with double-stick tape. Ferulic acid or sinapinic acid matrix solution is layered over the dried samples and analyzed by MALDI-MS. Statistical analysis of the data show that simply using double stick tape to collect and transfer to a MALDI sample plate typically worked as well as the other preparation methods, but requires the least sample handling.

  20. Performance evaluation of GLCM and pixel intensity matrix for skin texture analysis

    Punal M. Arabi


    Full Text Available Texture refers to visual patterns or spatial arrangement of pixels. Texture analysis is one of the features in image processing that is used to analyze the images captured by the imaging devices on human skin. Skin texture analysis plays a vital role in assessing the skin health and in the diagnosis of skin disorders such as allergic skin disorders, viral skin disease, bacterial skin diseases and fungal skin diseases. Texture analysis is carried out by one of the methods namely, structural, statistical, model based, transform based techniques. Statistical texture analysis depends mainly on feature extraction which may be done using GLCM (grey level co-occurrence matrix and WDM (wavelength division multiplexing techniques. The extracted features are used to classify texture. In this paper a study of skin texture analysis is carried out by comparing GLCM features and pixel intensity matrix parameters by experimenting with cheek and dorsal skin samples. The results obtained show that pixel intensity matrix parameters are more helpful than GLCM for analyzing the texture of skin.

  1. Considering Horn's Parallel Analysis from a Random Matrix Theory Point of View.

    Saccenti, Edoardo; Timmerman, Marieke E


    Horn's parallel analysis is a widely used method for assessing the number of principal components and common factors. We discuss the theoretical foundations of parallel analysis for principal components based on a covariance matrix by making use of arguments from random matrix theory. In particular, we show that (i) for the first component, parallel analysis is an inferential method equivalent to the Tracy-Widom test, (ii) its use to test high-order eigenvalues is equivalent to the use of the joint distribution of the eigenvalues, and thus should be discouraged, and (iii) a formal test for higher-order components can be obtained based on a Tracy-Widom approximation. We illustrate the performance of the two testing procedures using simulated data generated under both a principal component model and a common factors model. For the principal component model, the Tracy-Widom test performs consistently in all conditions, while parallel analysis shows unpredictable behavior for higher-order components. For the common factor model, including major and minor factors, both procedures are heuristic approaches, with variable performance. We conclude that the Tracy-Widom procedure is preferred over parallel analysis for statistically testing the number of principal components based on a covariance matrix.

  2. Graph Transformation and Designing Parallel Sparse Matrix Algorithms beyond Data Dependence Analysis

    H.X. Lin


    Full Text Available Algorithms are often parallelized based on data dependence analysis manually or by means of parallel compilers. Some vector/matrix computations such as the matrix-vector products with simple data dependence structures (data parallelism can be easily parallelized. For problems with more complicated data dependence structures, parallelization is less straightforward. The data dependence graph is a powerful means for designing and analyzing parallel algorithms. However, for sparse matrix computations, parallelization based on solely exploiting the existing parallelism in an algorithm does not always give satisfactory results. For example, the conventional Gaussian elimination algorithm for the solution of a tri-diagonal system is inherently sequential, so algorithms specially for parallel computation has to be designed. After briefly reviewing different parallelization approaches, a powerful graph formalism for designing parallel algorithms is introduced. This formalism will be discussed using a tri-diagonal system as an example. Its application to general matrix computations is also discussed. Its power in designing parallel algorithms beyond the ability of data dependence analysis is shown by means of a new algorithm called ACER (Alternating Cyclic Elimination and Reduction algorithm.


    M.M. Rahman


    Full Text Available Metal matrix composites (MMCs have become attractive for engineering structural applications due to their excellent specific strength and are increasingly seen as an alternative to conventional materials, particularly in the automotive industry. In this study, a historical background on the development and application of metal matrix composites for automotive brake rotors is presented. The discussion also includes an analysis of the product life cycle with stir casting as a case study. The historical review analysis revealed that gradual development of material and processing techniques have led to lighter weight, lower cost and higher performance brake rotors as a result of a better understanding of the mechanics of metal matrix composites. It emerged from the study that the stir casting technique provides ease of operation, sustainability and, most significantly, very competitive costs without sacrificing quality relative to other techniques; as such, it is the most attractive manufacturing process in the industry. These findings can be used for future design and manufacture of an efficient and effective aluminium matrix composite brake rotor for automotive and other applications.

  4. Limit analysis and homogenization of porous materials with Mohr-Coulomb matrix. Part I: Theoretical formulation

    Anoukou, K.; Pastor, F.; Dufrenoy, P.; Kondo, D.


    The present two-part study aims at investigating the specific effects of Mohr-Coulomb matrix on the strength of ductile porous materials by using a kinematic limit analysis approach. While in the Part II, static and kinematic bounds are numerically derived and used for validation purpose, the present Part I focuses on the theoretical formulation of a macroscopic strength criterion for porous Mohr-Coulomb materials. To this end, we consider a hollow sphere model with a rigid perfectly plastic Mohr-Coulomb matrix, subjected to axisymmetric uniform strain rate boundary conditions. Taking advantage of an appropriate family of three-parameter trial velocity fields accounting for the specific plastic deformation mechanisms of the Mohr-Coulomb matrix, we then provide a solution of the constrained minimization problem required for the determination of the macroscopic dissipation function. The macroscopic strength criterion is then obtained by means of the Lagrangian method combined with Karush-Kuhn-Tucker conditions. After a careful analysis and discussion of the plastic admissibility condition associated to the Mohr-Coulomb criterion, the above procedure leads to a parametric closed-form expression of the macroscopic strength criterion. The latter explicitly shows a dependence on the three stress invariants. In the special case of a friction angle equal to zero, the established criterion reduced to recently available results for porous Tresca materials. Finally, both effects of matrix friction angle and porosity are briefly illustrated and, for completeness, the macroscopic plastic flow rule and the voids evolution law are fully furnished.

  5. Linear Spectral Analysis of Plume Emissions Using an Optical Matrix Processor

    Gary, C. K.


    Plume spectrometry provides a means to monitor the health of a burning rocket engine, and optical matrix processors provide a means to analyze the plume spectra in real time. By observing the spectrum of the exhaust plume of a rocket engine, researchers have detected anomalous behavior of the engine and have even determined the failure of some equipment before it would normally have been noticed. The spectrum of the plume is analyzed by isolating information in the spectrum about the various materials present to estimate what materials are being burned in the engine. Scientists at the Marshall Space Flight Center (MSFC) have implemented a high resolution spectrometer to discriminate the spectral peaks of the many species present in the plume. Researchers at the Stennis Space Center Demonstration Testbed Facility (DTF) have implemented a high resolution spectrometer observing a 1200-lb. thrust engine. At this facility, known concentrations of contaminants can be introduced into the burn, allowing for the confirmation of diagnostic algorithms. While the high resolution of the measured spectra has allowed greatly increased insight into the functioning of the engine, the large data flows generated limit the ability to perform real-time processing. The use of an optical matrix processor and the linear analysis technique described below may allow for the detailed real-time analysis of the engine's health. A small optical matrix processor can perform the required mathematical analysis both quicker and with less energy than a large electronic computer dedicated to the same spectral analysis routine.

  6. WGM Resonators for Proteomic Analysis Project

    National Aeronautics and Space Administration — Due to the extensive amounts of data generated from the genome sequencing projects, the focus of genomics has shifted from elucidating DNA sequence to the...

  7. An ABC analysis for power generation project

    Batool Hasani


    Full Text Available One of the primary concerns on performance measurement is to know how much a particular project cost. However, using traditional method on project-based products often leads to inappropriate results. In this paper, we re-examine this issue by comparing the cost of a power station construction project using ABC versus traditional method. The results of survey show that ABC method is capable of providing better estimates for overhead costs compared with traditional method. In other words, ABC method helps reduce some of the unnecessary overhead cost items and increase on some other cost components. This helps increase the relative efficiency of the system by reducing total cost of project.

  8. Integral equation analysis of complex (MMIC-structures with optimized system matrix decomposition and novel quadrature techniques

    T. Vaupel


    Full Text Available Using integral equation methods for the analysis of complex (MMIC structures, the computation and storage effort for the solution of the linear systems of equations with their fully populated matrices still forms the main bottleneck. In the last years, remarkable improvements could be achieved by means of diakoptic methods and related preconditiners. In this contribution, we present a method based on the optimized decomposition of the system matrix depending on the circuit topology. The system matrix is splitted in a densely populated matrix and a mainly blockdiagonal matrix with overlapping submatrices. The latter matrix is used for the generation of high performance preconditioners within Krylov subspace methods using sparsified matrix storage methods, adaptive Cholesky decompositions and optimized forward/backward substitutions. Furthermore, we present an integration technique using a complete analytical treatment for the strongly oscillating parts of the spectral domain integrands allowing the analysis of very large structures as compared to the wavelength.

  9. Colorimetric Analysis Using Scene-Adaptive Color Conversion Matrix of Calibrated CIS

    Sung-Hak Lee


    Full Text Available The RGB signals of different CISs (color image sensors do not register the same values for the same viewing scene owing to their different spectral sensitivity and white balance mechanisms. Thus, CISs must be characterized based on CIE standard observation for colorimetric purposes. One general method for characterizing CISs is least square polynomial modeling to derive the colorimetric transfer matrix between RGB outputs and CIE XYZ tristimulus inputs. However, the transfer matrix that is obtained under the standard CIE illumination is unable to estimate various conditions of a CIS that is operated under various illuminations with varying chromaticity and luminance. Therefore, repeated experiments are necessary to obtain accurate colorimetric analysis results. This paper presents a scene-adaptive colorimetric analysis method using images captured by a general consumer camera under various environments.

  10. A Design and Analysis of Dolph-Chebyshev Microstrip Planar Array Using Butler Matrix Beamforming Networks


    The design and analysis of special type beamformer, the Butler matrix, to achieve orthogonal beamforming networks is presented in this paper. A 4×4 microstrip planar array antenna is assumed to simulate a 4×4 Butler matrix to demonstrate orthogonal beamforming and beam steering. The dimensions of rectangular patches in the planar array are chosen according to the Dolph-Chebyshev current distribution in order to minimize the side-lobe level ratio for a given value of beamwidth. The simulations are carried out using an antenna design and analysis software PCAAD. It is shown that orthogonal beams can be formed to cover about 163° angle with a constant beam crossover level and high directivity.

  11. Absolute flatness testing of skip-flat interferometry by matrix analysis in polar coordinates.

    Han, Zhi-Gang; Yin, Lu; Chen, Lei; Zhu, Ri-Hong


    A new method utilizing matrix analysis in polar coordinates has been presented for absolute testing of skip-flat interferometry. The retrieval of the absolute profile mainly includes three steps: (1) transform the wavefront maps of the two cavity measurements into data in polar coordinates; (2) retrieve the profile of the reflective flat in polar coordinates by matrix analysis; and (3) transform the profile of the reflective flat back into data in Cartesian coordinates and retrieve the profile of the sample. Simulation of synthetic surface data has been provided, showing the capability of the approach to achieve an accuracy of the order of 0.01 nm RMS. The absolute profile can be retrieved by a set of closed mathematical formulas without polynomial fitting of wavefront maps or the iterative evaluation of an error function, making the new method more efficient for absolute testing.

  12. A Personal Projects Analysis: examining adaptation to low back pain.

    Vroman, Kerryellen; Chamberlain, Kerry; Warner, Rebecca


    Personal Projects Analysis (PPA) offers an alternative approach to studying adaptation to illnesses. This study investigated adaptation to low back pain using PPA to examine the relationship between participants' perceptions of pain, and their functioning and well-being. Participants appraised their five most important projects on 26 dimensions, such as project value, success and difficulty. Factor analyses of the project ratings yielded five dispositions (Integrity, Personal Agency, Social Visibility, Pain Salience and Stressfulness). In regression analysis all five dispositions significantly predicted Physical and Social Function, Disruption of Roles, and Well-being. ;Pain Salience' was the strongest predictor of functional outcomes, and ;Stressfulness' was the best predictor of well-being.

  13. Consistent Fundamental Matrix Estimation in a Quadratic Measurement Error Model Arising in Motion Analysis

    Kukush, A.; Markovsky, I.; Van Huffel, S.


    Consistent estimators of the rank-deficient fundamental matrix yielding information on the relative orientation of two images in two-view motion analysis are derived. The estimators are derived by minimizing a corrected contrast function in a quadratic measurement error model. In addition, a consistent estimator for the measurement error variance is obtained. Simulation results show the improved accuracy of the newly proposed estimator compared to the ordinary total least-squares estimator.

  14. A parallel and matrix free framework for global stability analysis of compressible flows

    Henze, O; Sesterhenn, J


    An numerical iterative framework for global modal stability analysis of compressible flows using a parallel environment is presented. The framework uses a matrix-free implementation to allow computations of large scale problems. Various methods are tested with regard to convergence acceleration of the framework. The methods consist of a spectral Cayley transformation used to select desired Eigenvalues from a large spectrum, an improved linear solver and a parallel block-Jacobi preconditioning scheme.


    Muzaffer TOPCU


    Full Text Available In this study, elasto-plastic stress analysis have been made for metal matrix composite plates containing a central hole subjected to uniaxial tension under various uniformly distributed loads. In the solution, ısoparametric rectangular elements with nine nodes have been used. In the reinforcement angles 0 and 90 degrees for different diameters of the holes ın the vicinity of the holes residual stress variations have been investigated.

  16. Bi -level Programming Model for Research Project Matrix Team Management%科研项目矩阵团队管理双层规划模型研究

    张宁; 熊胜绪


    According to research project management features, the paper proposed the two - effective factors and matrix team management bi - level programming mode based on the reduction of the entire team expenditure on scientific research and the improvement of R & D quality, for project funding and number of investment options for quantitative analysis, seeking to optimize research project management more scientific.%根据科研项目管理的特点,从降低科研项目团队整个经费开支并且提高研发质量两个效益背反的因素出发,提出矩阵团队管理的双层规划模型,对项目经费的投资和数量选择进行定量分析,力求达到最优化,使得科研项目管理更具科学化.

  17. Intensification of Rice Production Systems in Southeastern Nigeria: A Policy Analysis Matrix Approach

    Albert I. Ugochukwu


    Full Text Available The Nigerian rice sector has made remarkable improvementin the last decade as production has increased significantlythereby reducing the gap between domestic supply and demand.In the last three decades, rice imports make up greater proportionof Nigerian imports as rice forms a structural component ofthe Nigerian diet. Past government inconsistent policies werenot successful in securing good market share for domestic riceproducers, hence producers suffered great losses. The recentresurgence of interest by the present administration to intensifydomestic rice production has yielded positive results. The objective of this study is to analyze and assess the costs andbenefits of intensification of rice production systems in southeastern Nigeria using a policy analysis matrix approach. MultiStage sampling technique was employed in selecting 75 uplandand 75 lowland rice farmers who were interviewed withstructured and validated questionnaire. Data were analyzedusing Policy Analysis Matrix (PAM. The result shows thatupland; lowland and double rice cropping systems in southeasternNigeria are profitable based on the policy analysis matrix(PAM model, and rice production under various systems andtechnologies is socially profitable and financially competitive.While there exist comparative advantage in the variousproduction systems, with lowland and double cropping beinghighest, substantial tax was imposed on rice imports in Nigeriaand government investment in intensifying rice productionhad a positive impact on the output of local rice production.The study concludes with strategies for the development ofrice sub sector in Nigeri


    S. Munapo


    Full Text Available

    ENGLISH ABSTRACT: This paper presents a new procedure for analysing and managing activity sequences in projects. The new procedure determines critical activities, critical path, start times, free floats, crash limits, and other useful information without the use of the network model. Even though network models have been successfully used in project management so far, there are weaknesses associated with the use. A network is not easy to generate, and dummies that are usually associated with it make the network diagram complex – and dummy activities have no meaning in the original project management problem. The network model for projects can be avoided while still obtaining all the useful information that is required for project management. What are required are the activities, their accurate durations, and their predecessors.

    AFRIKAANSE OPSOMMING: Die navorsing beskryf ’n nuwerwetse metode vir die ontleding en bestuur van die sekwensiële aktiwiteite van projekte. Die voorgestelde metode bepaal kritiese aktiwiteite, die kritieke pad, aanvangstye, speling, verhasing, en ander groothede sonder die gebruik van ’n netwerkmodel. Die metode funksioneer bevredigend in die praktyk, en omseil die administratiewe rompslomp van die tradisionele netwerkmodelle.

  19. Matrix analysis and risk management to avert depression and suicide among workers

    Takeuchi Takeaki


    Full Text Available Abstract Suicide is among the most tragic outcomes of all mental disorders, and the prevalence of suicide has risen dramatically during the last decade, particularly among workers. This paper reviews and proposes strategies to avert suicide and depression with regard to the mind body medicine equation hypothesis, metrics analysis of mental health problems from a public health and clinical medicine view. In occupational fields, the mind body medicine hypothesis has to deal with working environment, working condition, and workers' health. These three factors chosen in this paper were based on the concept of risk control, called San-kanri, which has traditionally been used in Japanese companies, and the causation concepts of host, agent, and environment. Working environment and working condition were given special focus with regard to tackling suicide problems. Matrix analysis was conducted by dividing the problem of working conditions into nine cells: three prevention levels (primary, secondary, and tertiary were proposed for each of the three factors of the mind body medicine hypothesis (working environment, working condition, and workers' health. After using these main strategies (mind body medicine analysis and matrix analysis to tackle suicide problems, the paper talks about the versatility of case-method teaching, "Hiyari-Hat activity," routine inspections by professionals, risk assessment analysis, and mandatory health check-up focusing on sleep and depression. In the risk assessment analysis, an exact assessment model was suggested using a formula based on multiplication of the following three factors: (1 severity, (2 frequency, and (3 possibility. Mental health problems, including suicide, are rather tricky to deal with because they involve evaluation of individual cases. The mind body medicine hypothesis and matrix analysis would be appropriate tactics for suicide prevention because they would help the evaluation of this issue as a

  20. Status of NINJA: the Numerical INJection Analysis project

    Aylott, Benjamin; Boggs, William D; Boyle, Michael; Brady, Patrick R; Brown, Duncan A; Brügmann, Bernd; Buchman, Luisa T; Buonanno, Alessandra; Cadonati, Laura; Camp, Jordan; Campanelli, Manuela; Centrella, Joan; Chatterjis, Shourov; Christensen, Nelson; Chu, Tony; Diener, Peter; Dorband, Nils; Etienne, Zachariah B; Faber, Joshua; Fairhurst, Stephen; Farr, Benjamin; Fischetti, Sebastian; Guidi, Gianluca; Goggin, Lisa M; Hannam, Mark; Herrmann, Frank; Hinder, Ian; Husa, Sascha; Kalogera, Vicky; Keppel, Drew; Kidder, Lawrence E; Kelly, Bernard J; Krishnan, Badri; Laguna, Pablo; Lousto, Carlos O; Mandel, Ilya; Marronetti, Pedro; Matzner, Richard; McWilliams, Sean T; Matthews, Keith D; Mercer, R Adam; Mohapatra, Satyanarayan R P; Mroué, Abdul H; Nakano, Hiroyuki; Ochsner, Evan; Pan, Yi; Pekowsky, Larne; Pfeiffer, Harald P; Pollney, Denis; Pretorius, Frans; Raymond, Vivien; Reisswig, Christian; Rezzolla, Luciano; Rinne, Oliver; Robinson, Craig; Röver, Christian; Santamaría, Lucía; Sathyaprakash, Bangalore; Scheel, Mark A; Schnetter, Erik; Seiler, Jennifer; Shapiro, Stuart L; Shoemaker, Deirdre; Sperhake, Ulrich; Stroeer, Alexander; Sturani, Riccardo; Tichy, Wolfgang; Liu, Yuk Tung; van der Sluys, Marc; van Meter, James R; Vaulin, Ruslan; Vecchio, Alberto; Veitch, John; Viceré, Andrea; Whelan, John T; Zlochower, Yosef; 10.1088/0264-9381/26/11/114008


    The 2008 NRDA conference introduced the Numerical INJection Analysis project (NINJA), a new collaborative effort between the numerical relativity community and the data analysis community. NINJA focuses on modeling and searching for gravitational wave signatures from the coalescence of binary system of compact objects. We review the scope of this collaboration and the components of the first NINJA project, where numerical relativity groups shared waveforms and data analysis teams applied various techniques to detect them when embedded in colored Gaussian noise.


    Wei Lu; Li Lu


    As an important project type of Agile Software Development, the performance evaluation and prediction for eXtreme Programming project has significant meanings. Targeting on the short release life cycle and concurrent multitask features, a statistical earned value analysis model is proposed. Based on the traditional concept of earned value analysis, the statistical earned value analysis model introduced Elastic Net regression function and Laplacian hierarchical model to construct a Bayesian El...

  2. Methodology for risk analysis of projects

    Roșu Maria Magdalena


    Full Text Available The risk in the organization activity as an economic and social system open, adaptive, with varying degrees of permeability to the influences from the current business environment, which is increasingly unpredictable and in which the only constant is the change, refers to the probability of not complying with the objectives set in terms of performance, execution and cost. The insufficient application of the recognized project management methodologies can be one of the main causes of projects failures in the organization with major influences on the activity efficiency and the performance recorded. Therefore, the methodology proposed in the paper, wants to be an effective tool, a formalized risk management tool, considered as a cyclical process, with several distinct phases, indispensable to the current organizational practice which should contribute to optimizing the project performance and its successful completion.

  3. Linguistic analysis of project ownership for undergraduate research experiences.

    Hanauer, D I; Frederick, J; Fotinakes, B; Strobel, S A


    We used computational linguistic and content analyses to explore the concept of project ownership for undergraduate research. We used linguistic analysis of student interview data to develop a quantitative methodology for assessing project ownership and applied this method to measure degrees of project ownership expressed by students in relation to different types of educational research experiences. The results of the study suggest that the design of a research experience significantly influences the degree of project ownership expressed by students when they describe those experiences. The analysis identified both positive and negative aspects of project ownership and provided a working definition for how a student experiences his or her research opportunity. These elements suggest several features that could be incorporated into an undergraduate research experience to foster a student's sense of project ownership.

  4. Construction Project Success ranking through the Data Envelopment Analysis

    Mazyar Zahedi-Seresht


    Full Text Available The purpose of this paper is to rank construction projects' success in a post delivery phase. To attain this objective, a data envelopment analysis (DEA approach is used. The model's output is a project success index which is calculated based on five project success criteria. These criteria which are determined by a two-round Delphi questionnaire survey are time performance, cost performance, quality, HSE, and customer satisfaction. The input factors which have effects on the output measures are Organizational Sponsorship, Project Manager Competency, Customer Organization, Project Operational Environment and Organizational Experience. The tool adopted to determine these factors is questionnaire. This model is applied for 9 projects with different importance of output and input factors and the reasonable result is achieved for ranking these projects.

  5. Second prize: Comprehensive proteomic analysis of human calcium oxalate monohydrate kidney stone matrix.

    Canales, Benjamin K; Anderson, Lorraine; Higgins, Leeann; Slaton, Joel; Roberts, Ken P; Liu, Nathan; Monga, Manoj


    Previous efforts to identify the protein content of stone matrix have been limited by the lack of technology necessary to analyze the highly insoluble protein-crystalline complex. Our study objective is to characterize the matrix of calcium oxalate monohydrate (COM) stones using a comprehensive proteomics approach. Seven pure COM stones were powdered, and proteins were extracted using four different buffer solutions. Detergent cleanup spin columns or concentrators were used to remove detergent and to exchange buffers before trypsin digestion. Tryptic peptides were analyzed with reversed-phase, high-performance liquid chromatography (RP-HPLC) and tandem mass spectrometry (MS/MS) using a QSTAR Pulsar i quadrapole time of flight mass spectrometer. Tandem mass spectra were searched against National Center for Biotechnology Information human nonredundant database using ProteinPilot 1.0 software (Applied Biosystems, Inc.) for protein hits; peptide MS/MS spectra were manually inspected. Of the four buffers, only 2% sodium dodecyl sulfate (SDS) samples had normal HPLC and MS/MS elution patterns. We identified 68 distinct proteins with 95% confidence. More than 50 of the proteins have not been previously identified in stone matrix. Of particular note, a significant number of inflammatory proteins were identified, including immunoglobulins, defensin -3, clusterin, complement C3a, kininogen, and fibrinogen. SDS reducing buffer was efficient at solubilizing proteins from stone matrix for further MS-based proteomic analysis. A variety of cellular, structural, and plasma proteins comprise COM stone matrix. Several of the stone proteins are involved in cell injury pathways, which suggests that inflammation plays a role in human COM stone formation.

  6. Specimen Preparation for Metal Matrix Composites with a High Volume Fraction of Reinforcing Particles for EBSD Analysis

    Smirnov, A. S.; Belozerov, G. A.; Smirnova, E. O.; Konovalov, A. V.; Shveikin, V. P.; Muizemnek, O. Yu.


    The paper deals with a procedure of preparing a specimen surface for the EBSD analysis of a metal matrix composite (MMC) with a high volume fraction of reinforcing particles. Unlike standard procedures of preparing a specimen surface for the EBSD analysis, the proposed procedure is iterative with consecutive application of mechanical and electrochemical polishing. This procedure significantly improves the results of an indexed MMC matrix in comparison with the standard procedure of specimen preparation. The procedure was verified on a MMC with pure aluminum (99.8% Al) as the matrix, SiC particles being used as reinforcing elements. The average size of the SiC particles is 14 μm, and their volume fraction amounts to 50% of the total volume of the composite. It has been experimentally found that, for making the EBSD analysis of a material matrix near reinforcing particles, the difference in height between the particles and the matrix should not exceed 2 µm.

  7. Theoretical Studies of Active Power/angle Sub-matrix in Power Flow Jacobian for Power System Analysis

    CAO Guo-yun; ZHANG Qing; CHUNG T S; CHEN Chen


    Properties of the active power/angle sub-matrix in the power flow Jacobian for power system analysis are studied. The sub-matrix is a dominant and irreducible matrix under very general conditions of power systems, so that it is invertible. Also the necessary conditions for its singularity are given. These theoretical rsuts can be used to clarify the ambiguous understanding of the sub-matrix in current literature, and also provide the theoretical foundations for the applications based on reduced power flow Jacobian. Numerical simulation on the IEEE 118-bus power system is used to illustrate our results.

  8. Basic matrices in the analysis of non-covalent complexes by matrix-assisted laser desorption/ionization mass spectrometry

    Jespersen, S.; Niessen, W.M.A.; Tjaden, U.R.; Greef, J. van der


    A number of potential matrix candidates were investigated with regard to the importance of the pH in the matrix-assisted laser desorption/ionization mass spectrometry (MALDI/MS) analysis of non-covalently bound protein complexes. The matrices examined were 2,5-dihydroxybenzoic acid (DHB), 4-hydroxy-

  9. Basic matrices in the analysis of non-covalent complexes by matrix-assisted laser desorption/ionization mass spectrometry

    Jespersen, S.; Niessen, W.M.A.; Tjaden, U.R.; Greef, J. van der


    A number of potential matrix candidates were investigated with regard to the importance of the pH in the matrix-assisted laser desorption/ionization mass spectrometry (MALDI/MS) analysis of non-covalently bound protein complexes. The matrices examined were 2,5-dihydroxybenzoic acid (DHB), 4-hydroxy-

  10. Conversion Matrix Analysis of SiGe HBT Gilbert Cell Mixers

    Johansen, Tom Keinicke; Vidkjær, Jens; Krozer, Viktor


    The frequency response of SiGe HBT active mixers based on the Gilbert cell topology is analyzed theoretically. The time-varying operation of the Gilbert cell mixer is taken into account by applying conversion matrix analysis. The main bandwidth limiting mechanisms experienced in SiGe HBT Gilbert...... cell mixers performing frequency conversion of ultra-wideband signals is discussed. The analysis is verified by computer simulations using a realistic high-frequency large-signal SiGe HBT model. Design optimization steps towards ultra-wideband operation for Gilbert cell mixers is discussed....

  11. Project management: a case of fixed price IS/IT projects. Analysis of projects by project scopes

    Miroslav Kral


    Full Text Available The paper provides an overview of major issues of IS / IT projects. Attention will be focused on projects that are implemented under a contract for a specified amount of work and fixed price. The main purpose of the paper is to analyse the project parameters in terms of the types of projects, and to confirm, or refuse, a hypothesis related to this. There is some evidence from the portfolio of projects that have been implemented by the international companies providing IT services. Regarding the localisation, CEE region was selected for our research. The outputs of the paper should be a contribution to managing IS/IT projects in IT service delivery organizations and for the support of innovative thinking about project management generally.

  12. Analysis of proteinaceous components of the organic matrix of endoskeletal sclerites from the alcyonarian Lobophytum crassum.

    Rahman, M Azizur; Isa, Y; Takemura, A; Uehara, T


    The mesoglea of alcyonarians is occupied by an abundance of minute calcitic sclerites. The sclerites of the alcyonarian Lobophytum crassum contain a water-soluble organic matrix comprising 0.48% of the sclerite weight and a water-insoluble fraction comprising 1.15% of the sclerite weight. Analysis of proteinaceous components in the soluble fraction shows a particularly high content of aspartic acid, followed by alanine, glycine, and glutamate. Aspartic acid, glycine, alanine, and glutamate are the most abundant residues in the insoluble fraction. In both cases, the fractions show the highest concentration of aspartic acid from the total proteins. In an in vitro assay, we show that the matrix proteins extracted from the calcitic sclerites induce the formation of amorphous calcium carbonate prior to its transformation into the calcitic crystalline form. We also show scanning electron micrographs of the rhombohedral calcite crystals used as template, the protein imprinted with these crystals. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis of both matrices shows the protein fractions at 67 and 48 kDa. The soluble matrix shows two additional faint bands. Both fractions stain for a carbohydrate at 67 kDa, indicating a glycoprotein at this molecular weight. A newly derived protein sequence was subjected to bioinformatics analysis involving identification of similarities to other acidic proteins. The identification of these proteins in alcyonarian endoskeletal sclerites emphasizes the fundamental importance of such acidic proteins and sheds more light on the functions of these proteins in the processes of biocalcification.

  13. An Efficient Computational Method for Solving Nonlinear Matrix Equstion and Its Application in Queuing Analysis

    HUANGJun; 朱涛; 等


    The matrix analytic analysis of queues with complex arrival,vacation and service characteristics requires the solution of nonlinear matrix equation.The complexity and large dimensionality of the model require an effcient and smart algorithm for the solution.In this paper,we propose and efficient Adaptive Newton-Kantorovich(ANK) method for speeding up the algorithm solving the nonlinear matrix equation which is an inevitable step in the analysis of the queue with embedded Markov chain such as BMAP/SMSP/1/∞ queue or its discrete version.BMAP/SMSP/1/∞ is a queuing model with a Semi Markov Service time Process (SMSP) and a Batch Markovian Arfival Process(BMAP).The numerical result is presented for the discrete case of N-MMBP/D/1 queue which arises in analyzing traffic aspect of computer communication network,where MMBP is Markov Modulated Bermoulli Process.The comparisons of Adaptive Newton-Kantorovich(ANK)with Modified Newton-Kantorovich(MNK) show that ANK saves 30% of CPU tim when the number of user N is 50.

  14. An analysis of the inter-project knowledge transfer in the petrochemical industry

    Marcelo Müller Beuren


    Full Text Available This paper presents a knowledge transfer (KT analysis in an operational project management environment of the petrochemical industry. The main objective of this paper is to identify the major barriers and to suggest improvements activities aiming to foster the KT process. To this end, interviews with members of the project department were conducted by means of a questionnaire. Results were analyzed to identify the most problematic barriers and to propose improvements. The study concluded that the greatest difficulties are related to the transfer of tacit knowledge between different teams. The main contribution of this paper is that it presents an analysis of an unexplored environment and it proposes an improvement of the adapted method for KT study, by using a relationship matrix between the questionnaire and the barriers, so that problems can be identified in an easier manner.

  15. Aiming to complete the matrix: Eye-movement analysis of processing strategies in children's relational thinking.

    Chen, Zhe; Honomichl, Ryan; Kennedy, Diane; Tan, Enda


    The present study examines 5- to 8-year-old children's relation reasoning in solving matrix completion tasks. This study incorporates a componential analysis, an eye-tracking method, and a microgenetic approach, which together allow an investigation of the cognitive processing strategies involved in the development and learning of children's relational thinking. Developmental differences in problem-solving performance were largely due to deficiencies in engaging the processing strategies that are hypothesized to facilitate problem-solving performance. Feedback designed to highlight the relations between objects within the matrix improved 5- and 6-year-olds' problem-solving performance, as well as their use of appropriate processing strategies. Furthermore, children who engaged the processing strategies early on in the task were more likely to solve subsequent problems in later phases. These findings suggest that encoding relations, integrating rules, completing the model, and generalizing strategies across tasks are critical processing components that underlie relational thinking. (PsycINFO Database Record

  16. New methodology developed for the differential scanning calorimetry analysis of polymeric matrixes incorporating phase change materials

    Barreneche, Camila; Solé, Aran; Miró, Laia; Martorell, Ingrid; Inés Fernández, A.; Cabeza, Luisa F.


    Nowadays, thermal comfort needs in buildings have led to an increase in energy consumption of the residential and service sectors. For this reason, thermal energy storage is shown as an alternative to achieve reduction of this high consumption. Phase change materials (PCM) have been studied to store energy due to their high storage capacity. A polymeric material capable of macroencapsulating PCM was developed by the authors of this paper. However, difficulties were found while measuring the thermal properties of these materials by differential scanning calorimetry (DSC). The polymeric matrix interferes in the detection of PCM properties by DSC. To remove this interfering effect, a new methodology which replaces the conventional empty crucible used as a reference in the DSC analysis by crucibles composed of the polymeric matrix was developed. Thus, a clear signal from the PCM is obtained by subtracting the new full crucible signal from the sample signal.

  17. Transfer matrix analysis of backscattering and reflection effects on WDM-PON systems.

    Simatupang, Joni Welman; Lee, San-Liang


    This paper proposes using power transfer matrix analysis to characterize the effects of Rayleigh backscattering and Fresnel reflection on WDM-PON systems. The modeling of a WDM-PON system can be carried out simply by matrix multiplication of the corresponding matrices for all the building blocks, where all possible guided backward lights and resonant configurations along the optical network can be accounted for. The total sum of all interferences affecting the bidirectional transmission that leads to an optical crosstalk-to-signal (C/S) ratio can be modeled as back-reflections through cascaded two-port networks for the downstream and upstream signals. This approach is simple, robust, efficient, and also accurate. Its accuracy is verified for simple system architectures and then applied to study more complicated cases. The results show its versatility to analyze a wide variety of bidirectional optical transmission systems.

  18. Compressive and shear buckling analysis of metal matrix composite sandwich panels under different thermal environments

    Ko, William L.; Jackson, Raymond H.


    Combined inplane compressive and shear buckling analysis was conducted on flat rectangular sandwich panels using the Raleigh-Ritz minimum energy method with a consideration of transverse shear effect of the sandwich core. The sandwich panels were fabricated with titanium honeycomb core and laminated metal matrix composite face sheets. The results show that slightly slender (along unidirectional compressive loading axis) rectangular sandwich panels have the most desirable stiffness-to-weight ratios for aerospace structural applications; the degradation of buckling strength of sandwich panels with rising temperature is faster in shear than in compression; and the fiber orientation of the face sheets for optimum combined-load buckling strength of sandwich panels is a strong function of both loading condition and panel aspect ratio. Under the same specific weight and panel aspect ratio, a sandwich panel with metal matrix composite face sheets has much higher buckling strength than one having monolithic face sheets.

  19. Project-Based Language Learning: An Activity Theory Analysis

    Gibbes, Marina; Carson, Lorna


    This paper reports on an investigation of project-based language learning (PBLL) in a university language programme. Learner reflections of project work were analysed through Activity Theory, where tool-mediated activity is understood as the central unit of analysis for human interaction. Data were categorised according to the components of human…

  20. Convention Center Management: A Systems Analysis & Design Course Project

    Guidry, Brandi N.; Totaro, Michael W.


    A challenge faced by many instructors of systems analysis and design courses is the selection or development of projects that provide challenging, yet suitable, learning experiences for the students. Employing a system development project case in undergraduate MIS courses offers students a multitude of opportunities to experientially examine…

  1. Hemispherical projection lens for insect behavior analysis

    Aikio, Mika; Takalo, Jouni; Lempeä, Mikko; Vähäsöyrinki, Mikko


    Virtual reality projection systems have been used formerly to study if mammals, including humans, are able to act in or understand virtual environments. Insects have been more difficult to study in such circumstances, one of the factors being their large, almost hemispherical field of view. Designing such a projection system that is capable of fulfilling the full field of vision of an insect is a challenging task. Normally, when designing a photographic objective, one of the goals is to minimize field curvature in order to provide sharp image through the whole sensor surface. However, because the image surface in this case is a sphere, flat field is not desirable and the design task becomes an opposite of a typical camera lens. Introducing field curvature becomes mandatory. We have designed and built a system with satisfactory image quality throughout the whole spherical surface with reasonable number of lenses as an add-on for common digital projectors. The manufactured system is able to project an image to a solid angle of 11.95 steradians, and when compared to the whole sphere which is represented with a solid angle of 4π steradians, approximately 5 % of the total sphere area is not illuminated.

  2. User's operating procedures. Volume 2: Scout project financial analysis program

    Harris, C. G.; Haris, D. K.


    A review is presented of the user's operating procedures for the Scout Project Automatic Data system, called SPADS. SPADS is the result of the past seven years of software development on a Prime mini-computer located at the Scout Project Office, NASA Langley Research Center, Hampton, Virginia. SPADS was developed as a single entry, multiple cross-reference data management and information retrieval system for the automation of Project office tasks, including engineering, financial, managerial, and clerical support. This volume, two (2) of three (3), provides the instructions to operate the Scout Project Financial Analysis program in data retrieval and file maintenance via the user friendly menu drivers.

  3. Automation of Safety Analysis with SysML Models Project

    National Aeronautics and Space Administration — This project was a small proof-of-concept case study, generating SysML model information as a side effect of safety analysis. A prototype FMEA Assistant was...


    Sorin Briciu


    Full Text Available The investments represent a factor of economic growth and development on long term, and for this reason, the economic efficiency analysis of the investment projects is an important element in funding the strategic options and decisions. In this article it is realized an overview of the theoretical framework regarding the investments, the relevance of cost - benefit analysis for investment projects, the economic efficiency of investments and ways to increase economic efficiency and it is realized a case study on the determination and analysis of economic efficiency of investment projects within the agriculture entities. The research leads to two major categories of tangible results, on the one hand it realized a qualitative theoretical synthesis on investments and their efficiency and on the other hand, it exemplifies the calculation, analysis and interpretation of the indicators used in the investment projects in entity by agriculture field.

  5. Analysis of interactions among barriers in project risk management

    Dandage, Rahul V.; Mantha, Shankar S.; Rane, Santosh B.; Bhoola, Vanita


    In the context of the scope, time, cost, and quality constraints, failure is not uncommon in project management. While small projects have 70% chances of success, large projects virtually have no chance of meeting the quadruple constraints. While there is no dearth of research on project risk management, the manifestation of barriers to project risk management is a less dwelt topic. The success of project management is oftentimes based on the understanding of barriers to effective risk management, application of appropriate risk management methodology, proactive leadership to avoid barriers, workers' attitude, adequate resources, organizational culture, and involvement of top management. This paper represents various risk categories and barriers to risk management in domestic and international projects through literature survey and feedback from project professionals. After analysing the various modelling methods used in project risk management literature, interpretive structural modelling (ISM) and MICMAC analysis have been used to analyse interactions among the barriers and prioritize them. The analysis indicates that lack of top management support, lack of formal training, and lack of addressing cultural differences are the high priority barriers, among many others.

  6. The application of Positive Matrix Factorization (PMF) to eco-efficiency analysis.

    Wu, Jiaying; Wu, Zhijun; Holländer, Robert


    A new method for weighting and aggregating eco-efficiency indicators is of the utmost importance, if researchers in the field are to provide simplified and physically meaningful information to policy makers. To date, there is still considerable debate over which weighting and aggregating methods to use in this context. We apply a new variant of factor analysis, Positive Matrix Factorization (PMF), to a simple eco-efficiency analysis case study. PMF constrains its solutions to be non-negative, providing two important advantages over traditional factor analysis (FA) or principal component analysis (PCA): the rotational ambiguity of the solution space is reduced, and all the results are guaranteed to be physically meaningful. We suggest that PMF is better choice than either FA or PCA for eco-efficiency indicators, especially when dealing with complex social-economic and environmental data.

  7. Analysis and control of issues that delay pharmaceutical projects

    Nallam Sai Nandeswara Rao


    Full Text Available Every project will have certain objectives and service levels to be achieved. The success of a project depends on several dimensions like time, cost/budget, quality, etc. and managing a project involves completing the project within time, within budget and with quality to satisfy the users. Because of the significance of health, pharmaceutical companies realized the importance of project management methods and techniques to make available the life saving drugs in time to the needy patients and hospitals. In literature, there is meager information about pharmaceutical project management oriented towards analysis of issues and factors that contribute to the failure or success of projects. This study attempts to analyse different issues that contribute to time delays in pharmaceutical product-based projects, group them under a finite set of prominent factors and identify remedial measures to control those delays. The feedback of project people of some big pharmaceutical firms of Indian sub-continent was collected for this purpose. Exploratory factor analysis (EFA has been used to reduce the reasons for time delays to a limited number of prominent factors and the EFA model has been further examined by confirmatory factor analysis (CFA for its validation. Remedial measures under each factor of time delays have been gathered and a framework designed to mitigate the time delays in pharmaceutical projects. The derived factors that delay the pharmaceutical projects include resource, monitoring & control, scheduling and planning problems. Important remedial measures like blended resource approach, estimation and forecast of shortage of labour and skills, regular quality training, etc. have been recommended.

  8. In-depth proteomic analysis of shell matrix proteins of Pinctada fucata.

    Liu, Chuang; Li, Shiguo; Kong, Jingjing; Liu, Yangjia; Wang, Tianpeng; Xie, Liping; Zhang, Rongqing


    The shells of pearl oysters, Pinctada fucata, are composed of calcite and aragonite and possess remarkable mechanical properties. These shells are formed under the regulation of macromolecules, especially shell matrix proteins (SMPs). Identification of diverse SMPs will lay a foundation for understanding biomineralization process. Here, we identified 72 unique SMPs using liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of proteins extracted from the shells of P. fucata combined with a draft genome. Of 72 SMPs, 17 SMPs are related to both the prismatic and nacreous layers. Moreover, according to the diverse domains found in the SMPs, we hypothesize that in addition to controlling CaCO3 crystallization and crystal organization, these proteins may potentially regulate the extracellular microenvironment and communicate between cells and the extracellular matrix (ECM). Immunohistological localization techniques identify the SMPs in the mantle, shells and synthetic calcite. Together, these proteomic data increase the repertoires of the shell matrix proteins in P. fucata and suggest that shell formation in P. fucata may involve tight regulation of cellular activities and the extracellular microenvironment.

  9. Similarity matrix analysis and divergence measures for statistical detection of unknown deterministic signals hidden in additive noise

    Le Bot, O., E-mail: [Univ. Grenoble Alpes, GIPSA-Lab, F-38000 Grenoble (France); CNRS, GIPSA-Lab, F-38000 Grenoble (France); Mars, J.I. [Univ. Grenoble Alpes, GIPSA-Lab, F-38000 Grenoble (France); CNRS, GIPSA-Lab, F-38000 Grenoble (France); Gervaise, C. [Univ. Grenoble Alpes, GIPSA-Lab, F-38000 Grenoble (France); CNRS, GIPSA-Lab, F-38000 Grenoble (France); Chaire CHORUS, Foundation of Grenoble Institute of Technology, 46 Avenue Félix Viallet, 38031 Grenoble Cedex 1 (France)


    This Letter proposes an algorithm to detect an unknown deterministic signal hidden in additive white Gaussian noise. The detector is based on recurrence analysis. It compares the distribution of the similarity matrix coefficients of the measured signal with an analytic expression of the distribution expected in the noise-only case. This comparison is achieved using divergence measures. Performance analysis based on the receiver operating characteristics shows that the proposed detector outperforms the energy detector, giving a probability of detection 10% to 50% higher, and has a similar performance to that of a sub-optimal filter detector. - Highlights: • We model the distribution of the similarity matrix coefficients of a Gaussian noise. • We use divergence measures for goodness-of-fit test between a model and measured data. • We distinguish deterministic signal and Gaussian noise with similarity matrix analysis. • Similarity matrix analysis outperforms energy detector.

  10. EU Funded Projects: from Financial to Economic Analysis

    Andreea Lorena RADU


    Full Text Available Investment projects represent the basis of economic and social development of our country. The investment is a cost that will most influence the future, but it is necessary that this influence should be not only positive, but also should exceed the investment efforts. There could be different sources of financing the investment, but lately, European grants are more and more accessed by various economic agents or institutions. To obtain European financing, the project must fulfill certain conditions and must follow certain economic, social and environmental indicators. Also, for some financing lines, is required the economic analysis preparation, in order to demonstrate that the project benefits to society are important and cover the investments efforts. Thus, economic analysis studies the project influence on macro-economic or regional level, and evaluates its contribution to the welfare of the region or local community. The present paper aims to analyze the most important and available theoretical resources and to provide practical examples for carrying out the economic analysis. In conclusion, economic analysis is an useful tool for each project evaluation, but the biggest barriers to its development are the lack of valid data and the reduced Romanian experience. Under these conditions, input data can be incorrectly estimated, resulting illusory and subjective project data. For a proper projects selection based on indicators of economic assessment, it must be developed a national, complete and complex guide.

  11. Application of scenario analysis in the investment projects evaluation

    Brzaković Tomislav


    Full Text Available Investing represents an investment in the present to achieve certain effects in the future, and risk is an essential part of the investment process. Scenario analysis involves key risk factors of the project, its sensitivity to changes in key factors and the likelihood of their changes. Scenario analysis allows us to assign probabilities to the base case, the best case and the worst case so that we can find the expected value and standard deviation of the project's NPV to get a better idea of the project's risk. The goal is to determine whether it is possible to make relevant investment decisions on the basis of the parameters of projects risk, such as the standard deviation and the coefficient of variation. The paper is based on a mathematical model, applied to a specific agricultural company. In our case, the project has a wide range of possibilities and a large potential negative value, which suggests a great risk of the project. Although the scenario analysis shows a higher risk, it is not clear if the project should be accepted or not, and therefore, it is necessary to conduct simulation analysis, in order to get reliable answers.

  12. Analysis of Project Success Criteria in the Nigerian Construction Industry

    Oluwaseun Sunday Dosumu


    Full Text Available This paper examined the relative importance of the project success criteria in the Nigerian construction industry. It also determined the correlation among the project success criteria. Based on the literatures reviewed, the study proposed a framework for measuring project success in the construction industry. The respondents for the study were the government, private clients, consultants and contractors. Three hundred copies of questionnaires were distributed to capture data on the subject, but only 86 were returned and used for the study. The paper captured respondents that are resident in Lagos state, Nigeria and chosen by convenience from selected organizations used for the study. The data were analysed with SPSS 16 through the use of frequencies, mean scores, factor analysis and correlation. Factor analysis was employed because the mean scores showed that all the project success criteria were at least important. Nine principal components were finally merged into 4 through the factor analysis using the Varimax rotation with Keiser normalization. The study found out that all the project success criteria were important but their level of importance differs according to the factor analysis carried out. Therefore, it was concluded that there are four major components of construction project success in Nigeria- user-related factors, professionals’ factors, organisational factors and other minor factors. The minor factors were found to be related to both organizations and projects but were not highly rated by respondents for determining construction project success. The study also concludes that project success criteria goes beyond meeting cost, time and quality target, it includes users’ satisfaction, professionals’ fulfilment and achievement of organizational goals. The recommendation of the study was that for construction projects to be successful, attention must be paid to users’ related factors, professionals’ factors and

  13. Smart Grid Development: Multinational Demo Project Analysis

    Oleinikova, I.; Mutule, A.; Obushevs, A.; Antoskovs, N.


    This paper analyses demand side management (DSM) projects and stakeholders' experience with the aim to develop, promote and adapt smart grid tehnologies in Latvia. The research aims at identifying possible system service posibilites, including demand response (DR) and determining the appropriate market design for such type of services to be implemented at the Baltic power system level, with the cooperation of distribution system operator (DSO) and transmission system operator (TSO). This paper is prepared as an extract from the global smart grid best practices, smart solutions and business models.

  14. Proteomic analysis of nuclear matrix proteins during arsenic trioxide induced apoptosis in leukemia K562 cells

    WANG Zi-hui; YU Ding; CHEN Yan; HAO Jian-zhong


    Background Arsenic trioxide (As2O3) has been identified as a very potent anti-acute leukemic agent. However its role in apoptosis needs to be elucidated. As2O3 interferes with the proliferation and survival of tumor cells via a variety of mechanisms. Drug-target interactions at the level of nuclear matrix (NM) may be critical events in the induction of cell death by As2O3. This study dealt with As2O3-target interactions at the level of NM in chronic myelogenous leukemia cell line K562 by proteomics. Methods K562 cells were cultured in MEM and treated with different concentrations of As2O3. The nuclear matrix proteins were analyzed by high-resolution two-dimensional gel electrophoresis and computer-assisted image analysis. Results As2O3 significantly inhibited the growth of chronic myelogenous leukemia cell line K562 at low concentrations. While more than 200 protein spots were shared among the nuclear matrices, about 18 distinct spots in the nuclear matrices were found characteristic for As2O3 treated cells. Conclusions: As2O3 induces apoptosis in K562 cells in a dose and time-dependent manner. Our results demonstrated that for the detection of the onset of apoptosis, the alteration in the composition of nuclear matrix proteins was a more sensitive indicator than nucleosomal DNA fragmentation test. These results indicated that As2O3 might be clinically useful in the treatment of chronic myelogenous leukemia. The changes of nuclear matrix proteins in the treated cells can be used as a useful indicator for this treatment.

  15. Application of Boston matrix combined with SWOT analysis on operational development and evaluations of hospital development.

    Tao, Z-Q; Shi, A-M


    The aim of this study is to explore the application of Boston matrix combined with SWOT analysis on operational development and evaluations of hospital departments. We selected 73 clinical and medical technology departments of our hospital from 2011 to 2013, and evaluated our hospital by Boston matrix combined with SWOT analysis according to the volume of services, medical quality, work efficiency, patients' evaluations, development capacity, operational capability, economic benefits, comprehensive evaluation of hospital achievement, innovation ability of hospital, influence of hospital, human resources of hospital, health insurance costs, etc. It was found that among clinical departments, there were 11 in Stars (22.4%), 17 in cash cow (34.7%), 15 in question marks (31.2%), 6 Dogs (12.2%), 16 in the youth stage of life cycle assessment (27.6%), 14 in the prime stage (24.1%), 12 in the stationary stage (20.7%), 9 in the aristocracy stage (15.5%) and 7 in the recession stage (12.1%). Among medical technology departments, there were 5 in Stars (20.8%), 1 in Cash cow (4.2%), 10 in question marks (41.6%), 8 Dogs (29.1%), 9 in the youth stage of life cycle assessment (37.5%), 4 in the prime stage (16.7%), 4 in the stable stage (16.7%), 1 in the aristocracy stage (4.2%) and 6 in the recession stage (25%). In conclusion, Boston matrix combined with SWOT analysis is suitable for operational development and comprehensive evaluations of hospital development, and it plays an important role in providing hospitals with development strategies.

  16. Cosmetic Analysis Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI

    Rodrigo Ramos Catharino


    Full Text Available A new “omic” platform—Cosmetomics—that proves to be extremely simple and effective in terms of sample preparation and readiness for data acquisition/interpretation is presented. This novel approach employing Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI for cosmetic analysis has proven to readily identify and quantify compounds of interest. It also allows full control of all the production phases, as well as of the final product, by integration of both analytical and statistical data. This work has focused on products of daily use, namely nail polish, lipsticks and eyeliners of multiple brands sold in the worldwide market.

  17. Risk Analysis and Setting Priorities in Air Traffic Control by Using a Matrix of Similarities

    Lacane Monta


    Full Text Available This article considers how mathematical decision-making in Air Traffic Control could be done in order to minimize the risk of collisions. An example of how to prioritize airplanes which are in the vicinity of an airport according to their level of risk in respect to other airplanes is given by using a matrix of similarities and Euclidean metric. The analysis has shown that it is necessary to classify ATC specialists and ATC centers according to their ability to provide safe enough service using time methods and highly experienced team work.

  18. Analysis of the segmented contraction of basis functions using density matrix theory.

    Custodio, Rogério; Gomes, André Severo Pereira; Sensato, Fabrício Ronil; Trevas, Júlio Murilo Dos Santos


    A particular formulation based on density matrix (DM) theory at the Hartree-Fock level of theory and the description of the atomic orbitals as integral transforms is introduced. This formulation leads to a continuous representation of the density matrices as functions of a generator coordinate and to the possibility of plotting either the continuous or discrete density matrices as functions of the exponents of primitive Gaussian basis functions. The analysis of these diagrams provides useful information allowing: (a) the determination of the most important primitives for a given orbital, (b) the core-valence separation, and (c) support for the development of contracted basis sets by the segmented method.


    Dimas Endro W


    Full Text Available Ship converting has become as prospective activity in ship building area. Operational and economical aspect are the most dominant rationale. Baseon a new fuction of converted ship, a task list which contain several jobs that must be done is listed. This accomplishment schedule not only contain a task list, but also duration for certain job title. In practical apllication job duration is maintained based on experience of project manager.  Further more, total accomplish duration is setted as time accomplishment for the project. This setted time has become reference for the project bid. Occasionaly, if accomplishment time which offered is strict, than schedule slip become as potencial nightmare. For this situation, project manager has had a cristal clearconsideration to select a proper decision wheter he will take the tender offer or not. practically, project mananger has layed on his experience to handle previous project and face  penalty if the project delayed. This paper focussed on how to measure tender offer based on risk analysis, specially for converted ship tender which has a strike time accomplishment.A new application method to analysis proposed tender based on time and penalty parameter has become a topic of this paper.

  20. ScatterJn: An ImageJ Plugin for Scatterplot-Matrix Analysis and Classification of Spatially Resolved Analytical Microscopy Data

    Fabian Zeitvogel


    Full Text Available We present ScatterJn, an ImageJ (and Fiji plugin for scatterplot-based exploration and analysis of analytical microscopy data. In contrast to commonly used scatterplot tools, it handles more than two input images (or image stacks, respectively by creating a matrix of pairwise scatterplots. The tool offers the possibility to manually classify pixels by selecting regions of datapoints in the scatterplots as well as in the spatial domain. We demonstrate its functioning using a set of elemental maps acquired by SEM-EDX mapping of a soil sample. The plugin is available at

  1. XRF Analysis of mineralogical matrix effects and differences between pulverized and fused ferromanganese slag



    Full Text Available Determination and analysis is only as good as the sample preparation that preceded it. Even the most sophisticated analysis is worthless if it follows sloppy sampling and poor preparation. Whether one does plasma emission, infrared or X-ray fluorescence or another spectroscopic technique, it is essential to get reproducible and accurate analysis. This paper shows the effect of mineralogical matrix differences in quantitative measurements by XRF of the main elements (Al, Ca, Mg, Si, Mn and K as oxides of ferromanganese alloy slag. Fused and pulverized slag show a significant difference in XRF microstructure, micro heterogeneity and mineralogy although the results of measurements between pulverized and fused slag, expressed as a percentage of the main elements, is not different. Other analytical techniques such as ICP-OES and classical gravimetric and titrimetric were also used for checking the XRF calibration accuracy

  2. Quick Spacecraft Thermal Analysis Tool Project

    National Aeronautics and Space Administration — For spacecraft design and development teams concerned with cost and schedule, the Quick Spacecraft Thermal Analysis Tool (QuickSTAT) is an innovative software suite...

  3. The Fukui matrix: a simple approach to the analysis of the Fukui function and its positive character.

    Bultinck, Patrick; Clarisse, Dorien; Ayers, Paul W; Carbo-Dorca, Ramon


    The Fukui matrix is introduced as the derivative of the one-electron reduced density matrix with respect to a change in the number of electrons under constant external potential. The Fukui matrix extends the Fukui function concept: the diagonal of the Fukui matrix is the Fukui function. Diagonalizing the Fukui matrix gives a set of eigenvectors, the Fukui orbitals, and accompanying eigenvalues. At the level of theory used, there is always one dominant eigenvector, with an eigenvalue equal to 1. The remaining eigenvalues are either zero or come in pairs with eigenvalues of the same magnitude but opposite sign. Analysis of the frontier molecular orbital coefficient in the eigenvector with eigenvalue 1 gives information on the quality of the frontier molecular orbital picture. The occurrence of negative Fukui functions can be easily interpreted in terms of the nodal character of the dominant eigenvector versus the characteristics of the remaining eigenvectors and eigenvalues.

  4. ADP Analysis project for the Human Resources Management Division

    Tureman, Robert L., Jr.


    The ADP (Automated Data Processing) Analysis Project was conducted for the Human Resources Management Division (HRMD) of NASA's Langley Research Center. The three major areas of work in the project were computer support, automated inventory analysis, and an ADP study for the Division. The goal of the computer support work was to determine automation needs of Division personnel and help them solve computing problems. The goal of automated inventory analysis was to find a way to analyze installed software and usage on a Macintosh. Finally, the ADP functional systems study for the Division was designed to assess future HRMD needs concerning ADP organization and activities.

  5. Fuel Cell Technology Status Analysis Project: Partnership Opportunities


    Fact sheet describing the National Renewable Energy Laboratory's (NREL's) Fuel Cell Technology Status Analysis Project. NREL is seeking fuel cell industry partners from the United States and abroad to participate in an objective and credible analysis of commercially available fuel cell products to benchmark the current state of the technology and support industry growth.

  6. Combining multiple single-reference transmissibility functions in a unique matrix formulation for operational modal analysis

    Devriendt, C.; Weijtjens, W.; De Sitter, G.; Guillaume, P.


    In recent years, the authors have proposed an innovative approach for Operational Modal Analysis based on transmissibility measurements. A method was proposed based on combining 2 single-reference transmissibility functions that were obtained during 2 different loading conditions. However in practice one in general has access to multiple transmissibility functions and perhaps even multiple loading conditions. In this paper a new method is introduced that combines all the measured single-reference transmissibility functions in a unique matrix formulation in order to identify system poles. It will be shown that each element of the pseudo-inverse of this matrix is a rational function with poles equal to the system poles. The proposed method reduces the risk to miss system poles and to identify extra non-physical poles. Therefore the method increases the usability and reliability of transmissibility based operational modal analysis (TOMA). The method will be demonstrated and validated by means of an experiment on a beam excited at multiple inputs for three different loading conditions.

  7. Micromechanics Fatigue Damage Analysis Modeling for Fabric Reinforced Ceramic Matrix Composites

    Min, J. B.; Xue, D.; Shi, Y.


    A micromechanics analysis modeling method was developed to analyze the damage progression and fatigue failure of fabric reinforced composite structures, especially for the brittle ceramic matrix material composites. A repeating unit cell concept of fabric reinforced composites was used to represent the global composite structure. The thermal and mechanical properties of the repeating unit cell were considered as the same as those of the global composite structure. The three-phase micromechanics, the shear-lag, and the continuum fracture mechanics models were integrated with a statistical model in the repeating unit cell to predict the progressive damages and fatigue life of the composite structures. The global structure failure was defined as the loss of loading capability of the repeating unit cell, which depends on the stiffness reduction due to material slice failures and nonlinear material properties in the repeating unit cell. The present methodology is demonstrated with the analysis results evaluated through the experimental test performed with carbon fiber reinforced silicon carbide matrix plain weave composite specimens.

  8. Matrix composition and community structure analysis of a novel bacterial pyrite leaching community.

    Ziegler, Sibylle; Ackermann, Sonia; Majzlan, Juraj; Gescher, Johannes


    Here we describe a novel bacterial community that is embedded in a matrix of carbohydrates and bio/geochemical products of pyrite (FeS(2)) oxidation. This community grows in stalactite-like structures--snottites--on the ceiling of an abandoned pyrite mine at pH values of 2.2-2.6. The aqueous phase in the matrix contains 200 mM of sulfate and total iron concentrations of 60 mM. Micro-X-ray diffraction analysis showed that jarosite [(K,Na,H(3)O)Fe(3)(SO(4))(2)(OH)(6)] is the major mineral embedded in the snottites. X-ray absorption near-edge structure experiments revealed three different sulfur species. The major signal can be ascribed to sulfate, and the other two features may correspond to thiols and sulfoxides. Arabinose was detected as the major sugar component in the extracellular polymeric substance. Via restriction fragment length polymorphism analysis, a community was found that mainly consists of iron oxidizing Leptospirillum and Ferrovum species but also of bacteria that could be involved in dissimilatory sulfate and dissimilatory iron reduction. Each snottite can be regarded as a complex, self-contained consortium of bacterial species fuelled by the decomposition of pyrite.

  9. Study of complex matrix effect on solid phase microextraction for biological sample analysis.

    Jiang, Ruifen; Xu, Jianqiao; Zhu, Fang; Luan, Tiangang; Zeng, Feng; Shen, Yong; Ouyang, Gangfeng


    Solid phase microextraction (SPME) has become a useful tool for in vivo monitoring the behavior of environmental organic pollutants in biological species due to its simplicity, relatively non-invasive, and cost-effective manner. However, the complex matrices in biological samples could significantly influence the extraction kinetic, and bias the quantification result. In this study, we investigated the effect of complex matrix on the extraction kinetic of SPME for biological sample analysis. Two sample matrices, phosphate-buffered saline (PBS) with bovine serum albumin (BSA) and agarose gel with BSA were used to simulate the biological fluid and tissue. Results showed that the addition of BSA significantly enhanced the mass transfer of organic compounds onto SPME fiber in both PBS buffer and gel sample. Enhancement factors ranging from 1.3 to 27, and 2.0 to 80 were found for all selected polyaromatic hydrocarbons (PAHs) in PBS buffer and agarose gel with BSA concentration of 0.1-5%, respectively. Then, an improved theoretical model was applied to quantify the observed enhancement effect, and the result showed that the predicted sampling time constant agreed well with the experimental one in complex matrix. Furthermore, a simplified equation was proposed for the real biological sample analysis.


    Cassio C. Montenegro Duarte


    Full Text Available This study evaluates the concept of success in project management that is applicable to the IT universe, from the classical theory associated with the techniques of project management. Therefore, it applies the theoretical analysis associated to the context of information technology in enterprises as well as the classic literature of traditional project management, focusing on its application in business information technology. From the literature developed in the first part of the study, four propositions were prepared for study which formed the basis for the development of the field research with three large companies that develop projects of Information Technology. The methodology used in the study predicted the development of the multiple case study. Empirical evidence suggests that the concept of success found in the classical literature in project management adjusts to the environment management of IT projects. Showed that it is possible to create the model of standard IT projects in order to replicate it in future derivatives projects, which depends on the learning acquired at the end of a long and continuous process and sponsorship of senior management, which ultimately results in its merger into the company culture.

  11. Spatially-explicit matrix models. A mathematical analysis of stage-structured integrodifference equations.

    Lutscher, Frithjof; Lewis, Mark A


    This paper is concerned with mathematical analysis of the 'critical domain-size' problem for structured populations. Space is introduced explicitly into matrix models for stage-structured populations. Movement of individuals is described by means of a dispersal kernel. The mathematical analysis investigates conditions for existence, stability and uniqueness of equilibrium solutions as well as some bifurcation behaviors. These mathematical results are linked to species persistence or extinction in connected habitats of different sizes or fragmented habitats; hence the framework is given for application of such models to ecology. Several approximations which reduce the complexity of integrodifference equations are given. A simple example is worked out to illustrate the analytical results and to compare the behavior of the integrodifference model to that of the approximations.

  12. Dynamical Analysis of Stock Market Instability by Cross-correlation Matrix

    Takaishi, Tetsuya


    We study stock market instability by using cross-correlations constructed from the return time series of 366 stocks traded on the Tokyo Stock Exchange from January 5, 1998 to December 30, 2013. To investigate the dynamical evolution of the cross-correlations, crosscorrelation matrices are calculated with a rolling window of 400 days. To quantify the volatile market stages where the potential risk is high, we apply the principal components analysis and measure the cumulative risk fraction (CRF), which is the system variance associated with the first few principal components. From the CRF, we detected three volatile market stages corresponding to the bankruptcy of Lehman Brothers, the 2011 Tohoku Region Pacific Coast Earthquake, and the FRB QE3 reduction observation in the study period. We further apply the random matrix theory for the risk analysis and find that the first eigenvector is more equally de-localized when the market is volatile.

  13. A Data Matrix Method for Improving the Quantification of Element Percentages of SEM/EDX Analysis

    Lane, John


    A simple 2D M N matrix involving sample preparation enables the microanalyst to peer below the noise floor of element percentages reported by the SEM/EDX (scanning electron microscopy/ energy dispersive x-ray) analysis, thus yielding more meaningful data. Using the example of a 2 3 sample set, there are M = 2 concentration levels of the original mix under test: 10 percent ilmenite (90 percent silica) and 20 percent ilmenite (80 percent silica). For each of these M samples, N = 3 separate SEM/EDX samples were drawn. In this test, ilmenite is the element of interest. By plotting the linear trend of the M sample s known concentration versus the average of the N samples, a much higher resolution of elemental analysis can be performed. The resulting trend also shows how the noise is affecting the data, and at what point (of smaller concentrations) is it impractical to try to extract any further useful data.

  14. Field analysis of TE and TM modes in photonic crystal Bragg fibers by transmission matrix method

    M Hosseini Farzad


    Full Text Available In this article, we considered the field analysis in photonic crystal Bragg fibers. We apply the method of transmission matrix to calculater the dispersion curves, the longitudinal wave number over wave number versus incident wavelength, and the field distributions of TE and TM modes in the Bragg fiber. Our analysis shows that the field of guided modes is confined in the core and can exist only in particular wavelength bands corresponding to the band-gap of the periodic structure of the clad. From another point of view, light confinement is due to Bragg reflection from high-and low-refractive index layers of the clad. Also, the diagram of average angular frequency with respect to average longitudinal wave number is plotted so that the band gap regions of the clad are clearly observed.

  15. Trace matrix analysis in high Purex refractory metals with matrix separation. Analisis de trazas metalicas en metales refractarios de alta pureza con separacion de la matriz

    Vivas Duarte Kittel, N.E.; Seuvert, A.; Wunsch, G. (Institut fur anorganische Chemie der Universitat Hannover, Hannover (Germany))


    Microelectronics industry demands refractory metals (Ti, Ni, Ta, Cr, Mo, W) and some of their silicides in extremely high purity. Direct analysis by ICP-AES or ICP.MS is limited by different spectral interferences and unspecific matrix effects of different kind. Trace-matrix-separation including a preconcentration of the analytes is the best way to overcome these problems and to achieve the required detection limits. Fundamentals and practice of batch, column and HPLC procedures are discussed in detail. Adsorption on cellulose, precipitation with chelating agents, and cation or chelating exchange resins can be used. The analyte tracers are collected in a small volume of sample, wich can be analyzed by ICP-AES. HPLC with a nucleosil column allows a trace-matrix-separation with a direct coupling to the spectrometer. The collected traces can alternatively be separated on an additional column and determined by photometry. The procedures describe the determination of Ba, Ca, Fe, Mg, Co, Cd, Cu, Ni, Pb and Mn, Mg, Ca, Sr, Ag, In, Tl and Zn in Ta and Nb; of Co, Cd, Cu, Ni, Pb, Mn, Mg, Ca and Sr in Ti. (Author) 15 refs.

  16. The Covariance matrix Analysis Of Log Data%测井资料的协方差阵分析

    秦海菲; 陈超慧


    协方差阵是多元分析中一个重要的组成部分。协方差分析是方差分析和回归分析结合而产生的一种数据分析方法。本文利用协方差阵对测并资料中油层、水层、干层的数据进行分析,通过准备数据,建立油层、水层、干层的矩阵,分析矩阵并建立相应的协方差阵,计算协方差阵和聚类中心,比较每一个层与聚类中心的距离,判断出所要判断的层是油,水,干层中的哪一层,再与实际层对比,得出符合率。通过证明,说明了用协方差阵对测井数据进行分析是可行的,也是可信的。%Covariance matrix is a essential part of multivariate analysis .Covariance matrix analysis is a method of data analysis that mixed the Variance analysis and Regression analysis.This paper using Covariance matrix analysis Logging data. According to data prepare, build the matrix of layer in oil, water, dry. Analysis matrix and build Covariance matrix, computer Covariance matrix, build the center of cluster. Compare the distance of the layer to the center of cluster, discriminanted the layer is that is oil,water or dry layer. Compare the discriminant layer and actual layer,obtain the coincidence rate.

  17. Mechanical analysis of single myocyte contraction in a 3-D elastic matrix.

    John Shaw

    Full Text Available BACKGROUND: Cardiac myocytes experience mechanical stress during each heartbeat. Excessive mechanical stresses under pathological conditions cause functional and structural remodeling that lead to heart diseases, yet the precise mechanisms are still incompletely understood. To study the cellular and molecular level mechanotransduction mechanisms, we developed a new 'cell-in-gel' experimental system to exert multiaxial (3-D stresses on a single myocyte during active contraction. METHODS: Isolated myocytes are embedded in an elastic hydrogel to simulate the mechanical environment in myocardium (afterload. When electrically stimulated, the in-gel myocyte contracts while the matrix resists shortening and broadening of the cell, exerting normal and shear stresses on the cell. Here we provide a mechanical analysis, based on the Eshelby inclusion problem, of the 3-D strain and stress inside and outside the single myocyte during contraction in an elastic matrix. RESULTS: (1 The fractional shortening of the myocyte depends on the cell's geometric dimensions and the relative stiffness of the cell to the gel. A slender or softer cell has less fractional shortening. A myocyte of typical dimensions embedded in a gel of similar elastic stiffness can contract only 20% of its load-free value. (2 The longitudinal stress inside the cell is about 15 times the transverse stress level. (3 The traction on the cell surface is highly non-uniform, with a maximum near its ends, showing 'hot spots' at the location of intercalated disks. (4 The mechanical energy expenditure of the myocyte increases with the matrix stiffness in a monotonic and nonlinear manner. CONCLUSION: Our mechanical analyses provide analytic solutions that readily lend themselves to parametric studies. The resulting 3-D mapping of the strain and stress states serve to analyze and interpret ongoing cell-in-gel experiments, and the mathematical model provides an essential tool to decipher and quantify

  18. Epidemiology of drug use in Perugia (Italy through the analysis of the Keratin Matrix

    Isabella Mercurio


    Full Text Available Background Drugs and their metabolites can be incorporated into hair so hair testing has become s an alternative and complementary method to assess the extent of drugs abuse. The aim of our study has been to use hair samples to rebuild the epidemiology of illicit substances use  in Perugia. Methods We conducted a cross-sectional study from May to July 2012 asking hairdressers of Perugia to collect hair samples and to compile a schedule for each one. The samples were analyzed in laboratory: the extraction of basic substances was performed adding methanol; the extraction of acid substances was obtained adding  NAOH.  After derivatization, 1μl of each solution was analyzed through gas chromatography / mass spectrometry The data were  organized in a database and processed using R version 3.2.2. Results We collected 238 samples. The most detected drugs were: THC-TMS identified in 15 samples, MDMA in 9, Beg-TMS in 8. There is a statistically significant difference in drug use between centre (23,36% and periphery (5,34%. Age and sex have not represented influencing factors. The substance with the highest concentration in the keratin matrix is ketamine (9834,86 ng/100 mg of hair. Conclusions The use of keratin matrix offers high advantages in the toxicological analysis compared to conventional biological matrices and let us analyze the situation in Perugia where the increased market of drugs caused constant rise of drug addiction. However, because of the limits of this method, only the simultaneous use of keratin matrix and other traditional indicators, could furnish more precise information.


    Senthilkumar Venkatachalam


    Full Text Available Proposal: The increase in privately funded infrastructure construction in India had compelled project owners to demand highly compressed project schedules due to political risks and early revenue generation. As a result, many of the contracts are based on EPC (Engineering Procurement and Construction contract enabling the contractor to plan and control the EPC phases. Sole responsibility for the three phases has facilitated the use of innovative approaches such as fast-track construction and concurrent engineering in order to minimize project duration. As a part of a research study to improve design processes, the first author spent a year as an observer in two design projects which was done by a leading EPC contractor in India. Both projects required accelerated design and fast-track construction. The first project involved the detailed design of a coal handling unit for a power plant and second the preliminary phase of a large airport design project. The research team had the mandate to analyze the design process and suggest changes to make it more efficient. On the first project, detailed data on the design/drawing workflow was collected and analyzed. The paper presents the analysis of the data identifying the bottlenecks in the process and compares the analysis results with the perceptions of the design team. On the second project, the overall organizational structure for coordinating the interfaces between the design processes was evaluated. The paper presents a structured method to organize the interface and interactions between the various design disciplines. The details of the method proposed, implementation issues and outcomes of implementation are also discussed.

  20. An Awareness-Adoption Matrix for Strategic Decision Making in Agricultural Development Projects:A Case Study in Yunnan Province,China

    M Subedi; T J Hocking; M A Fullen; A R McCrea; E Milne; WU Bo-zhi; D J Mitchell


    targeted region.Therefore,farmers' adoption of technologies should be a key criterion for judging the Success of any project.The awareness-adoption matrix is a useful tool to guide research and development projects to achieve expected adoption/adaptation of technologies.Use of the matrix helps identification of weak and strong aspects of research and development projects and thus assists strategic decision-making.

  1. Sensitivity Investigation of Fault Tree Analysis with Matrix-Algebraic Method

    Pokorádi László


    Full Text Available The Fault Tree Analysis (FTA is a systematic, deductive (top-down type and probabilistic risk assessment tool which shows the causal relations leading to a given undesired event, referred to as the “Top Event” (TE. The events, which cannot be subdivided, are called the Basic Events. Fault Tree diagram displays the undesired state of the investigated system (top event in terms of the states of its components (basic events. The Fault Tree Analysis is a graphical design technique main result of which is a tree, a dendritic graph. Probabilistic Fault Tree Analysis (PFTA is a quantitative analysis method used to calculate the probability of Top Event from given failure probabilities of system components. The objective of the sensitivity analysis is to show how the change in any system parameter influences the resultant reliability value of the whole system. The main aim of this study is to elaborate an easy-used algorithm for setting-up of Linear Fault Tree Sensitivity Model (LFTSM. This modular approach process uses matrix-algebraic method based upon the mathematical diagnostic modeling of aircraft systems and gas turbine engines. The paper shows the adaptation of linear mathematical diagnostic modeling methodology for setting-up of LFTSM and its possibility of use to investigate Fault Tree sensitivity by a demonstrative example.

  2. Multiplex matrix network analysis of protein complexes in the human TCR signalosome.

    Smith, Stephen E P; Neier, Steven C; Reed, Brendan K; Davis, Tessa R; Sinnwell, Jason P; Eckel-Passow, Jeanette E; Sciallis, Gabriel F; Wieland, Carilyn N; Torgerson, Rochelle R; Gil, Diana; Neuhauser, Claudia; Schrum, Adam G


    Multiprotein complexes transduce cellular signals through extensive interaction networks, but the ability to analyze these networks in cells from small clinical biopsies is limited. To address this, we applied an adaptable multiplex matrix system to physiologically relevant signaling protein complexes isolated from a cell line or from human patient samples. Focusing on the proximal T cell receptor (TCR) signalosome, we assessed 210 pairs of PiSCES (proteins in shared complexes detected by exposed surface epitopes). Upon stimulation of Jurkat cells with superantigen-loaded antigen-presenting cells, this system produced high-dimensional data that enabled visualization of network activity. A comprehensive analysis platform generated PiSCES biosignatures by applying unsupervised hierarchical clustering, principal component analysis, an adaptive nonparametric with empirical cutoff analysis, and weighted correlation network analysis. We generated PiSCES biosignatures from 4-mm skin punch biopsies from control patients or patients with the autoimmune skin disease alopecia areata. This analysis distinguished disease patients from the controls, detected enhanced basal TCR signaling in the autoimmune patients, and identified a potential signaling network signature that may be indicative of disease. Thus, generation of PiSCES biosignatures represents an approach that can provide information about the activity of protein signaling networks in samples including low-abundance primary cells from clinical biopsies.

  3. Supersymmetry Parameter Analysis : SPA Convention and Project

    Aguilar-Saavedra, J A; Allanach, Benjamin C; Arnowitt, R; Baer, H A; Bagger, J A; Balázs, C; Barger, V; Barnett, M; Bartl, Alfred; Battaglia, M; Bechtle, P; Belyaev, A; Berger, E L; Blair, G; Boos, E; Bélanger, G; Carena, M S; Choi, S Y; Deppisch, F; Desch, Klaus; Djouadi, A; Dutta, B; Dutta, S; Díaz, M A; Eberl, H; Ellis, Jonathan Richard; Erler, Jens; Fraas, H; Freitas, A; Fritzsche, T; Godbole, Rohini M; Gounaris, George J; Guasch, J; Gunion, J F; Haba, N; Haber, Howard E; Hagiwara, K; Han, L; Han, T; He, H J; Heinemeyer, S; Hesselbach, S; Hidaka, K; Hinchliffe, Ian; Hirsch, M; Hohenwarter-Sodek, K; Hollik, W; Hou, W S; Hurth, Tobias; Jack, I; Jiang, Y; Jones, D R T; Kalinowski, Jan; Kamon, T; Kane, G; Kang, S K; Kernreiter, T; Kilian, W; Kim, C S; King, S F; Kittel, O; Klasen, M; Kneur, J L; Kovarik, K; Kraml, Sabine; Krämer, M; Lafaye, R; Langacker, P; Logan, H E; Ma, W G; Majerotto, Walter; Martyn, H U; Matchev, K; Miller, D J; Mondragon, M; Moortgat-Pick, G; Moretti, S; Mori, T; Moultaka, G; Muanza, S; Mukhopadhyaya, B; Mühlleitner, M M; Nauenberg, U; Nojiri, M M; Nomura, D; Nowak, H; Okada, N; Olive, Keith A; Oller, W; Peskin, M; Plehn, T; Polesello, G; Porod, Werner; Quevedo, Fernando; Rainwater, D L; Reuter, J; Richardson, P; Rolbiecki, K; de Roeck, A; Weber, Ch.


    High-precision analyses of supersymmetry parameters aim at reconstructing the fundamental supersymmetric theory and its breaking mechanism. A well defined theoretical framework is needed when higher-order corrections are included. We propose such a scheme, Supersymmetry Parameter Analysis SPA, based on a consistent set of conventions and input parameters. A repository for computer programs is provided which connect parameters in different schemes and relate the Lagrangian parameters to physical observables at LHC and high energy e+e- linear collider experiments, i.e., masses, mixings, decay widths and production cross sections for supersymmetric particles. In addition, programs for calculating high-precision low energy observables, the density of cold dark matter (CDM) in the universe as well as the cross sections for CDM search experiments are included. The SPA scheme still requires extended efforts on both the theoretical and experimental side before data can be evaluated in the future at the level of the d...

  4. Buckling Analysis of Angle-ply Composite and Sandwich Plates by Combination of Geometric Stiffness Matrix

    Zhen, Wu; Wanji, Chen


    Buckling response of angle-ply laminated composite and sandwich plates are analyzed using the global-local higher order theory with combination of geometric stiffness matrix in this paper. This global-local theory completely fulfills the free surface conditions and the displacement and stress continuity conditions at interfaces. Moreover, the number of unknowns in this theory is independent of the number of layers in the laminate. Based on this global-local theory, a three-noded triangular element satisfying C1 continuity conditions has also been proposed. The bending part of this element is constructed from the concept of DKT element. In order to improve the accuracy of the analysis, a method of modified geometric stiffness matrix has been introduced. Numerical results show that the present theory not only computes accurately the buckling response of general laminated composite plates but also predicts the critical buckling loads of soft-core sandwiches. However, the global higher-order theories as well as first order theories might encounter some difficulties and overestimate the critical buckling loads for soft-core sandwich plates.

  5. Analysis of matrix proteins of otolith in upside-down catfish

    Ohnishi, K.; Okamoto, N.; Takahashi, A.; Ohnishi, T.

    We have previously suggested that the calcium density of the otolith in upside-down swimming Synodontis nigriventris is lower than that in upside-up swimming Synodontis multipunctatus Biol Space Sci 2002 In this study we examined EDTA-soluble matrix proteins of otolith in the utricle of the catfish S nigriventris S multipunctatus and upside-up swimming Synodontis brichadi and goldfish Carassius auratus We detected two main bands about 55 kD and 80 kD with SDS-PAGE in the 3 species of the catfish In cntrast goldfish had the about 55 kD band alone The band of about 80 kD was consisted of two sub-bands a lighter and a heavier band A lighter band was observed in S brichadi and a heavier band was observed in S nigriventris S multipunctatus had the both bands Furthermore mass spectrometric analysis showed there were some proteins of molecular weight under 14 kD The molecular weights of the proteins were different among the fishes These results suggest that many different kinds of matrix protein may cause different degree of calcification in otolith formation

  6. THz spectral data analysis and components unmixing based on non-negative matrix factorization methods

    Ma, Yehao; Li, Xian; Huang, Pingjie; Hou, Dibo; Wang, Qiang; Zhang, Guangxin


    In many situations the THz spectroscopic data observed from complex samples represent the integrated result of several interrelated variables or feature components acting together. The actual information contained in the original data might be overlapping and there is a necessity to investigate various approaches for model reduction and data unmixing. The development and use of low-rank approximate nonnegative matrix factorization (NMF) and smooth constraint NMF (CNMF) algorithms for feature components extraction and identification in the fields of terahertz time domain spectroscopy (THz-TDS) data analysis are presented. The evolution and convergence properties of NMF and CNMF methods based on sparseness, independence and smoothness constraints for the resulting nonnegative matrix factors are discussed. For general NMF, its cost function is nonconvex and the result is usually susceptible to initialization and noise corruption, and may fall into local minima and lead to unstable decomposition. To reduce these drawbacks, smoothness constraint is introduced to enhance the performance of NMF. The proposed algorithms are evaluated by several THz-TDS data decomposition experiments including a binary system and a ternary system simulating some applications such as medicine tablet inspection. Results show that CNMF is more capable of finding optimal solutions and more robust for random initialization in contrast to NMF. The investigated method is promising for THz data resolution contributing to unknown mixture identification.

  7. An Analysis of Nondestructive Evaluation Techniques for Polymer Matrix Composite Sandwich Materials

    Cosgriff, Laura M.; Roberts, Gary D.; Binienda, Wieslaw K.; Zheng, Diahua; Averbeck, Timothy; Roth, Donald J.; Jeanneau, Philippe


    Structural sandwich materials composed of triaxially braided polymer matrix composite material face sheets sandwiching a foam core are being utilized for applications including aerospace components and recreational equipment. Since full scale components are being made from these sandwich materials, it is necessary to develop proper inspection practices for their manufacture and in-field use. Specifically, nondestructive evaluation (NDE) techniques need to be investigated for analysis of components made from these materials. Hockey blades made from sandwich materials and a flat sandwich sample were examined with multiple NDE techniques including thermographic, radiographic, and shearographic methods to investigate damage induced in the blades and flat panel components. Hockey blades used during actual play and a flat polymer matrix composite sandwich sample with damage inserted into the foam core were investigated with each technique. NDE images from the samples were presented and discussed. Structural elements within each blade were observed with radiographic imaging. Damaged regions and some structural elements of the hockey blades were identified with thermographic imaging. Structural elements, damaged regions, and other material variations were detected in the hockey blades with shearography. Each technique s advantages and disadvantages were considered in making recommendations for inspection of components made from these types of materials.

  8. Analysis of the {sup 238}U resonance parameters using random-matrix theory

    Courcelle, A. [CEA Cadarache, 13 - Saint Paul lez Durance (France); Derrien, H.; Leal, L.C.; Larson, N.M. [Oak Ridge National Laboratory, Oak Ridge, TN (United States)


    Random-matrix theories (RMTs) provide valuable statistical tools to analyze neutron-resonance data. The predictive power of the random-matrix theories, which do not contain any adjustable parameters, is striking, and the application is rather simple and fast. A new evaluation of {sup 238}U resonance parameters has recently been performed at the Oak Ridge National Laboratory; the objective of this paper is to illustrate the use of RMT in the field of resonance-parameter evaluation with the newly evaluated {sup 239}U energy levels and widths. Several statistics were computed using the s-wave resonances up to 20 keV and compared to the Gaussian Orthogonal Ensemble predictions. It is shown that a good agreement is observed between RMT and the experimental data up to 2.5 keV. The F-Dyson statistic was especially investigated because of its claimed ability to detect locally missed and spurious levels in the sample (p-resonances contamination or unresolved multiplets). As expected, the entire set of evaluated {sup 238}U s-wave resonances up to 20 keV disagrees significantly with the theory. There are two reasons for this: First, it is difficult to distinguish s- and p-wave resonances in the analysis. Secondly, especially above 10 keV, it is impossible to determine reliable resonance energies from the available experimental data. It is concluded that the use of RMT can help nuclear data specialists to improve their evaluations in the resonance range. (authors)

  9. Compression thermal analysis of the consolidation process for thermoplastic matrix composites

    Nelson, K.M.; Manson, J.A.E.; Seferis, J.C. (Washington Univ., Seattle (USA))


    Consolidation of thermoplastic prepregs was measured with an integrally-heated parallel platen apparatus attached to a servo-hydraulic mechanical testing machine. The apparatus was designed as a small-scale, well-instrumented press. The lamination or consolidation process was viewed as a superposition of three distinctly occurring events identified as void volume reduction, fiber spreading, and autohesion. Consolidation was measured in relation to the original prepreg thickness and was reported as compressive or consolidation strain as a function of temperature. The derivative of the consolidation strain, the consolidation strain rate, was found to be qualitatively descriptive of viscoelastic phenomena occurring in the prepreg stack during consolidation. The apparatus was sensitive enough to identify glass and melt transitions of the polymer matrix, and to provide a measure of the net consolidation for a given processing cycle. The strain and the strain rate data were compared to thermoanalytical prepreg data obtained by Differential Scanning Calorimetry, and Dynamic Mechanical Analysis. Three different thermoplastic matrix composite systems were examined with this apparatus: Poly (etheretherketone), Poly(etherimide), and Poly(ethylene terephthalate). 21 refs.

  10. Decellularization of intact tissue enables MALDI imaging mass spectrometry analysis of the extracellular matrix.

    Gessel, Megan; Spraggins, Jeffrey M; Voziyan, Paul; Hudson, Billy G; Caprioli, Richard M


    Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a powerful molecular mapping technology that offers unbiased visualization of the spatial arrangement of biomolecules in tissue. Although there has been a significant increase in the number of applications employing this technology, the extracellular matrix (ECM) has received little attention, likely because ECM proteins are mostly large, insoluble and heavily cross-linked. We have developed a new sample preparation approach to enable MALDI IMS analysis of ECM proteins in tissue. Prior to freezing and sectioning, intact tissues are decellularized by incubation in sodium dodecyl sulfate. Decellularization removes the highly abundant, soluble species that dominate a MALDI IMS spectrum while preserving the structural integrity of the ECM. In situ tryptic hydrolysis and imaging of tryptic peptides are then carried out to accommodate the large sizes of ECM proteins. This new approach allows the use of MALDI IMS for identification of spatially specific changes in ECM protein expression and modification in tissue.

  11. Class-specific discriminant time-frequency analysis using novel jointly learnt non-negative matrix factorization

    Ghoraani, Behnaz


    Time-frequency (TF) representation has found wide use in many challenging signal processing tasks including classification, interference rejection, and retrieval. Advances in TF analysis methods have led to the development of powerful techniques, which use non-negative matrix factorization (NMF) to adaptively decompose the TF data into TF basis components and coefficients. In this paper, standard NMF is modified for TF data, such that the improved TF bases can be used for signal classification applications with overlapping classes and data retrieval. The new method, called jointly learnt NMF (JLNMF) method, identifies both distinct and shared TF bases and is able to use the decomposed bases to successfully retrieve and separate the class-specific information from data. The paper provides the framework of the proposed JLNMF cost function and proposes a projected gradient framework to solve for limit point stationarity solutions. The developed algorithm has been applied to a synthetic data retrieval experiment and epileptic spikes in EEG signals of infantile spasms and discrimination of pathological voice disorder. The experimental results verified that JLNMF successfully identified the class-specific information, thus enhancing data separation performance.

  12. Supersymmetry Parameter Analysis: SPA Convention and Project

    Hinchliffe, I.; et al.


    High-precision analyses of supersymmetry parameters aim atreconstructing the fundamental supersymmetric theory and its breakingmechanism. A well defined theoretical framework is needed whenhigher-order corrections are included. We propose such a scheme,Supersymmetry Parameter Analysis SPA, based on a consistent set ofconventions and input parameters. A repository for computer programs isprovided which connect parameters in different schemes and relate theLagrangian parameters to physical observables at LHC and high energy e+e-linear collider experiments, i.e., masses, mixings, decay widths andproduction cross sections for supersymmetric particles. In addition,programs for calculating high-precision low energy observables, thedensity of cold dark matter (CDM) in the universe as well as the crosssections for CDM search experiments are included. The SPA scheme stillrequires extended efforts on both the theoretical and experimental sidebefore data can be evaluated in the future at the level of the desiredprecision. We take here an initial step of testing the SPA scheme byapplying the techniques involved to a specific supersymmetry referencepoint.

  13. Mode Characterization for Planar and Corrugated Multilayer Structures via Scattering Matrix Analysis

    Kneale, Casey; Booksh, Karl S


    The construction of the unconditionally stable planar rank 2 scattering matrix for stratified systems is detailed from Fresnel equations. Several matrix decompositions and numerical calculations performed on the planar S matrix allow for the expedient characterization of purely absorbing, brewster, surface plasmon, and wave-guide modes. A figure of merit is presented from the decompositions of the scattering matrix constructed from the Chandezon method for corrugated surfaces. This figure of merit represents the hyper-area of the scattering matrix transform and allows for rapid distinguishability between lossy absorption phenomena, and surface plasmons. Some extension of this technique is possible for surface plasmon polaritons in the infrared region.

  14. Matrix Metalloproteinase-2 Polymorphisms and Incident Coronary Artery Disease: A Meta-Analysis.

    Shi, Yujie; Zhang, Jian; Tan, Chen; Xu, Wei; Sun, Qi; Li, Junxia


    Previous studies have yielded controversial results related to the contribution of matrix metalloproteinase-2 (MMP-2) -1306 C/T and -735 C/T polymorphisms in the progression of coronary artery disease (CAD). This study aimed to provide strong evidence for the role of the 2 polymorphisms in genetic risk of CAD.The human case-control studies regarding the association of MMP-2 polymorphisms with CAD risk were systematically identified through online databases (PubMed, Embase, the Cochrane Library, and CNKI) and manual search. Inclusion criteria were defined for the eligible studies. The fixed-effects meta-analysis was performed to combine the values when homogeneity was indicated. Alternatively, the random-effects meta-analysis was utilized.A total of 2118 samples were analyzed in the meta-analysis of -1306 C/T. The odds ratio for the initially tested genetic model was 0.93 (95% confidence interval: 0.78-1.10 under TT + CT vs CC). The remaining comparisons similarly showed -1306 C/T genotypes were not significantly associated with the risk of CAD. We noted the same trend when data were retrained to myocardial infarction studies. Meta-analysis of -735 C/T suggested no clear association with the development of CAD.The results of the current work fail to support a significant involvement of MMP-2 -1306 C/T and -735 C/T polymorphisms in the risk of developing CAD.

  15. Employing the Matrix Method as a tool for the analysis of qualitative research data in the business domain

    Groenland, E.A.G.


    This article addresses three issues: 1. It explains the characteristics and the process of the analysis of empirical, qualitative data. 2. It introduces a method for qualitative analysis, as relevant to business research, i.e., the Matrix Method. 3. It presents a coherent approach about structuring

  16. Employing the Matrix Method as a tool for the analysis of qualitative research data in the business domain

    Groenland, E.A.G.


    This article addresses three issues: 1. It explains the characteristics and the process of the analysis of empirical, qualitative data. 2. It introduces a method for qualitative analysis, as relevant to business research, i.e., the Matrix Method. 3. It presents a coherent approach about structuring

  17. Monitoring organic loading to swimming pools by fluorescence excitation–emission matrix with parallel factor analysis (PARAFAC)

    Seredynska-Sobecka, Bozena; Stedmon, Colin; Boe-Hansen, Rasmus


    Fluorescence Excitation–Emission Matrix spectroscopy combined with parallel factor analysis was employed to monitor water quality and organic contamination in swimming pools. The fluorescence signal of the swimming pool organic matter was low but increased slightly through the day. The analysis...... loading in swimming pool water. The fluorescence at 420nm gradually increased during opening hours and represented material accumulating through the day....

  18. Analysis of the flexural vibration of ship's tail shaft by transfer matrix method

    JIA Xiao-jun; FAN Shi-dong


    A ship's tail shaft has serious flexural vibration due to the cantilevered nature of the propeller's blades. Analysis of the nature frequency of flexural vibration is vital to be able to provide effective shock absorption for a ship's tail shaft. A mathematic model of tail shaft flexural vibrations was built using the transfer matrix method. The nature frequency of flexural vibration for an electrically propelled ship's tail shaft was then analyzed, and an effective method for calculating it was proposed: a genetic algorithm (GA), which calculates the nature frequency of vibration of a system. Sample calculations, with comparisons by the Prohl method under conditions bearing isotropic support, showed this method to be practical. It should have significant impact on engineering design theory.

  19. In vivo skin capacitive imaging analysis by using grey level co-occurrence matrix (GLCM).

    Ou, Xiang; Pan, Wei; Xiao, Perry


    We present our latest work on in vivo skin capacitive imaging analysis by using grey level co-occurrence matrix (GLCM). The in vivo skin capacitive images were taken by a capacitance based fingerprint sensor, the skin capacitive images were then analysed by GLCM. Four different GLCM feature vectors, angular second moment (ASM), entropy (ENT), contrast (CON) and correlation (COR), are selected to describe the skin texture. The results show that angular second moment increases as age increases, and entropy decreases as age increases. The results also suggest that the angular second moment values and the entropy values reflect more about the skin texture, whilst the contrast values and the correlation values reflect more about the topically applied solvents. The overall results shows that the GLCM is an effective way to extract and analyse the skin texture information, which can potentially be a valuable reference for evaluating effects of medical and cosmetic treatments.

  20. The Matrix Method of Representation, Analysis and Classification of Long Genetic Sequences

    Ivan V. Stepanyan


    Full Text Available The article is devoted to a matrix method of comparative analysis of long nucleotide sequences by means of presenting each sequence in the form of three digital binary sequences. This method uses a set of symmetries of biochemical attributes of nucleotides. It also uses the possibility of presentation of every whole set of N-mers as one of the members of a Kronecker family of genetic matrices. With this method, a long nucleotide sequence can be visually represented as an individual fractal-like mosaic or another regular mosaic of binary type. In contrast to natural nucleotide sequences, artificial random sequences give non-regular patterns. Examples of binary mosaics of long nucleotide sequences are shown, including cases of human chromosomes and penicillins. The obtained results are then discussed.

  1. Random matrix theory for the analysis of the performance of an analog computer: a scaling theory

    Ben-Hur, Asa; Feinberg, Joshua; Fishman, Shmuel; Siegelmann, Hava T


    The phase space flow of a dynamical system, leading to the solution of linear programming (LP) problems, is explored as an example of complexity analysis in an analog computation framework. In this framework, computation by physical devices and natural systems, evolving in continuous phase space and time (in contrast to the digital computer where these are discrete), is explored. A Gaussian ensemble of LP problems is studied. The convergence time of a flow to the fixed point representing the optimal solution, is computed. The cumulative distribution function of the convergence time is calculated in the framework of random matrix theory (RMT) in the asymptotic limit of large problem size. It is found to be a scaling function, of the form obtained in the theories of critical phenomena and Anderson localization. It demonstrates a correspondence between problems of computer science and physics.

  2. In silico analysis suggests interaction between Ebola virus and the extracellular matrix

    Veljko eVeljkovic


    Full Text Available The worst Ebola virus (EV outbreak in history has hit Liberia, Sierra Leone and Guinea hardest and the trendlines in this crisis are grave, and now represents global public health threat concern. Limited therapeutic and/or prophylactic options which are available for humans suffering from Ebola virus disease (EVD further complicate situation. Previous studies suggested that the EV glycoprotein (GP is the main determinant causing structural damage of endothelial cells that triggers the hemorrhagic diathesis, but molecular mechanisms underlying this phenomenon remains elusive. Using the informational spectrum method (ISM, a virtual spectroscopy method for analysis of the protein-protein interactions, the interaction of GP with endothelial extracellular matrix (ECM was investigated. Presented results of this in silico study suggest that Elastin Microfibril Interface Located Proteins (EMILINs are involved in interaction between GP and ECM. This finding could contribute to better understanding of EV/endothelium interaction and its role in pathogenesis, prevention and therapy of EVD.

  3. Impedances of an Infinitely Long and Axisymmetric Multilayer Beam Pipe: Matrix Formalism and Multimode Analysis

    Mounet, N


    Using B. Zotter’s formalism, we present here a novel, efficient and exact matrix method for the field matching determination of the electromagnetic field components created by an offset point charge travelling at any speed in an infinitely long circular multilayer beam pipe. This method improves by a factor of more than one hundred the computational time with three layers and allows the computation for more layers than three. We also generalize our analysis to any azimuthal mode and finally perform the summation on all such modes in the impedance formulae. In particular the exact multimode direct space-charge impedances (both longitudinal and transverse) are given, as well as the wall impedance to any order of precision.

  4. The Yucca Mountain probabilistic volcanic hazard analysis project

    Coppersmith, K.J.; Perman, R.C.; Youngs, R.R. [Geomatrix Consultants, Inc., San Francisco, CA (United States)] [and others


    The Probabilistic Volcanic Hazard Analysis (PVHA) project, sponsored by the U.S. Department of Energy (DOE), was conducted to assess the probability of a future volcanic event disrupting the potential repository at Yucca Mountain. The PVHA project is one of the first major expert judgment studies that DOE has authorized for technical assessments related to the Yucca Mountain project. The judgments of members of a ten-person expert panel were elicited to ensure that a wide range of approaches were considered for the hazard analysis. The results of the individual elicitations were then combined to develop an integrated assessment of the volcanic hazard that reflects the diversity of alternative scientific interpretations. This assessment, which focused on the volcanic hazard at the site, expressed as the probability of disruption of the potential repository, will provide input to an assessment of volcanic risk, which expresses the probability of radionuclide release due to volcanic disruption.

  5. NUMEN Project @ LNS : Heavy Ions Double Charge Exchange as a tool towards the 0νββ Nuclear Matrix Element

    Agodi, C.; Cappuzzello, F.; Bonanno, D. L.; Bongiovanni, D. G.; Branchina, V.; Calabrese, S.; Calabretta, L.; Calanna, A.; Carbone, D.; Cavallaro, M.; Colonna, M.; Foti, A.; Finocchiaro, P.; Greco, V.; Lanzalone, G.; Lo Presti, D.; Longhitano, F.; Muoio, A.; Pandola, L.; Rifuggiato, D.; Tudisco, S.


    The NUMEN Project, proposed at INFN Laboratori Nazionali del Sud (LNS) in Catania, has the aim to access the nuclear matrix elements, entering the expression of the life time of double beta decay, by relevant cross sections of double charge exchange reactions. The basic point, on which it is based this innovative technique, is the coincidence of the initial and final state wave-functions in the two classes of processes and the similarity of the transition operators. A key aspect of the Project is the use of MAGNEX large acceptance magnetic spectrometer, for the detection of the ejectiles, and of the INFN LNS K800 Superconducting Cyclotron (CS), for the acceleration of the required high resolution and low emittance heavy-ion beams.

  6. Assessment of Smolt Condition for Travel Time Analysis Project, 1987-1997 Project Review.

    Schrock, Robin M.; Hans, Karen M.; Beeman, John W. [US Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, Cook, WA


    The assessment of Smolt Condition for Travel Time Analysis Project (Bonneville Power Administration Project 87-401) monitored attributes of salmonid smolt physiology in the Columbia and Snake River basins from 1987 to 1997, under the Northwest Power Planning Council Fish and Wildlife Program, in cooperation with the Smolt Monitoring Program of the Fish Passage Center. The primary goal of the project was to investigate the physiological development of juvenile salmonids related to migration rates. The assumption was made that the level of smolt development, interacting with environmental factos such as flow, would be reflected in travel times. The Fish Passage Center applied the physiological measurements of smolt condition to Water Budget management, to regulate flows so as to decrease travel time and increase survival.

  7. Medical microbiological analysis of Apollo-Soyuz test project crewmembers

    Taylor, G. R.; Zaloguev, S. N.


    The procedures and results of the Microbial Exchange Experiment (AR-002) of the Apollo-Soyuz Test Project are described. Included in the discussion of procedural aspects are methods and materials, in-flight microbial specimen collection, and preliminary analysis of microbial specimens. Medically important microorganisms recovered from both Apollo and Soyuz crewmen are evaluated.

  8. Procrustes rotation as a diagnostic tool for projection pursuit analysis.

    Wentzell, Peter D; Hou, Siyuan; Silva, Carolina Santos; Wicks, Chelsi C; Pimentel, Maria Fernanda


    Projection pursuit (PP) is an effective exploratory data analysis tool because it optimizes the projection of high dimensional data using distributional characteristics rather than variance or distance metrics. The recent development of fast and simple PP algorithms based on minimization of kurtosis for clustering data has made this powerful tool more accessible, but under conditions where the sample-to-variable ratio is small, PP fails due to opportunistic overfitting of random correlations to limiting distributional targets. Therefore, some kind of variable compression or data regularization is required in these cases. However, this introduces an additional parameter whose optimization is manually time consuming and subject to bias. The present work describes the use of Procrustes analysis as diagnostic tool that can be used to evaluate the results of PP analysis in an efficient manner. Through Procrustes rotation, the similarity of different PP projections can be examined in an automated fashion with "Procrustes maps" to establish regions of stable projections as a function of the parameter to be optimized. The application of this diagnostic is demonstrated using principal components analysis to compress FTIR spectra from ink samples of ten different brands of pen, and also in conjunction with regularized PP for soybean disease classification. Copyright © 2015 Elsevier B.V. All rights reserved.

  9. Stability analysis on Jinjia dam hydropower project in Chongqing City

    Fuzhi XIE; Hong FENG; Xiaohan YANG; Jingzong YU


    The stability analysis is one of the chief problems at hydropower stations. The Jinjia Hydropower Station is a significant project in Southwest China. The paper adopts the rigidity limited equilibrium theory and evaluated stability of the slope body, which will provide the evidences for further detail design.

  10. Risk analysis for renewable energy projects due to constraints arising

    Prostean, G.; Vasar, C.; Prostean, O.; Vartosu, A.


    Starting from the target of the European Union (EU) to use renewable energy in the area that aims a binding target of 20% renewable energy in final energy consumption by 2020, this article illustrates the identification of risks for implementation of wind energy projects in Romania, which could lead to complex technical implications, social and administrative. In specific projects analyzed in this paper were identified critical bottlenecks in the future wind power supply chain and reasonable time periods that may arise. Renewable energy technologies have to face a number of constraints that delayed scaling-up their production process, their transport process, the equipment reliability, etc. so implementing these types of projects requiring complex specialized team, the coordination of which also involve specific risks. The research team applied an analytical risk approach to identify major risks encountered within a wind farm project developed in Romania in isolated regions with different particularities, configured for different geographical areas (hill and mountain locations in Romania). Identification of major risks was based on the conceptual model set up for the entire project implementation process. Throughout this conceptual model there were identified specific constraints of such process. Integration risks were examined by an empirical study based on the method HAZOP (Hazard and Operability). The discussion describes the analysis of our results implementation context of renewable energy projects in Romania and creates a framework for assessing energy supply to any entity from renewable sources.

  11. Time-Frequency Analysis of Clinical Percussion Signals Using Matrix Pencil Method

    Moinuddin Bhuiyan


    Full Text Available This paper discusses time-frequency analysis of clinical percussion signals produced by tapping over human chest or abdomen with a neurological hammer and recorded with an air microphone. The analysis of short, highly damped percussion signals using conventional time-frequency distributions (TFDs meets certain difficulties, such as poor time-frequency localization, cross terms, and masking of the lower energy features by the higher energy ones. The above shortcomings lead to inaccurate and ambiguous representation of the signal behavior in the time-frequency plane. This work describes an attempt to construct a TF representation specifically tailored to clinical percussion signals to achieve better resolution of individual components corresponding to physical oscillation modes. Matrix Pencil Method (MPM is used to decompose the signal into a set of exponentially damped sinusoids, which are then plotted in the time-frequency plane. Such representation provides better visualization of the signal structure than the commonly used frequency-amplitude plots and facilitates tracking subtle changes in the signal for diagnostic purposes. The performance of our approach has been verified on both ideal and real percussion signals. The MPM-based time-frequency analysis appears to be a better choice for clinical percussion signals than conventional TFDs, while its ability to visualize damping has immediate practical applications.

  12. Cluster structure of EU-15 countries derived from the correlation matrix analysis of macroeconomic index fluctuations

    Gligor, M.; Ausloos, M.


    The statistical distances between countries, calculated for various moving average time windows, are mapped into the ultrametric subdominant space as in classical Minimal Spanning Tree methods. The Moving Average Minimal Length Path (MAMLP) algorithm allows a decoupling of fluctuations with respect to the mass center of the system from the movement of the mass center itself. A Hamiltonian representation given by a factor graph is used and plays the role of cost function. The present analysis pertains to 11 macroeconomic (ME) indicators, namely the GDP (x1), Final Consumption Expenditure (x2), Gross Capital Formation (x3), Net Exports (x4), Consumer Price Index (y1), Rates of Interest of the Central Banks (y2), Labour Force (z1), Unemployment (z2), GDP/hour worked (z3), GDP/capita (w1) and Gini coefficient (w2). The target group of countries is composed of 15 EU countries, data taken between 1995 and 2004. By two different methods (the Bipartite Factor Graph Analysis and the Correlation Matrix Eigensystem Analysis) it is found that the strongly correlated countries with respect to the macroeconomic indicators fluctuations can be partitioned into stable clusters.

  13. Simple and suitable immunosensor for β-lactam antibiotics analysis in real matrixes: milk, serum, urine.

    Merola, Giovanni; Martini, Elisabetta; Tomassetti, Mauro; Campanella, Luigi


    The anti-penicillin G was conjugated to avidin-peroxidase and biotin to obtain immunogen and competitor which were then used to develop a competitive immunosensor assay for the detection of penicillin G and other β-lactam antibiotics, with Kaff values of the order of 10(8) M(-1). The new immunosensor appears to afford a number of advantages in terms of sensitivity, possibility of "in situ" analysis, but especially of simplicity and lower costs, compared with other existing devices, or different chemical instrumental methods reported in the literature and used for the analysis of β-lactam compounds. Satisfactory results were found in the analysis of real matrixes and good recoveries were obtained by applying the standard addition method to spiked milk, urine, serum and drug samples. The new device uses an amperometric electrode for hydrogen peroxide as transducer, the BSA-penicillin G immobilized on polymeric membrane overlapping the amperometric transducer and the peroxidase enzyme as marker. It proved to be highly sensitive, inexpensive and easily reproducible; LOD was of the order of 10(-11)M. Lastly, the new immunosensor displayed low selectivity versus the entire class of β-lactam antibiotics and higher selectivity toward other classes of non-β-lactam antibiotics.

  14. Constitutive models of ferroelectric composites with a viscoelastic and dielectric relaxation matrix (Ⅱ)——Experiment, calculation and analysis

    江冰; 方岱宁; 黄克智


    Experimental analysis of ferroelectric composites with a viscoelastic and dieiectric relax-ation matrix is carried out, and the electromechanical coupling behavior of the ferroelectric composites is calculated by means of the constitutive model proposed in this paper. Comparisons between the ex-perimental results and the calculations show that the constitutive model can reflect the electromechanical coupling behavior of the ferroelectric composites. The analysis indicates that the effect of viscoelas-ticity and dieiectric relaxation of the matrix on the electromechanical coupling behavior of ferroelectric composites cannot be neglected.

  15. A pilot socio-economic analysis of QLIF dairy projects

    Nicholas, Dr. Phillipa; Lampkin, Dr Nicolas; Leifert, Prof. Carlo; Butler, Dr. Gillian; Klocke, Peter; Wagenaar, J.P.T.M.


    A pilot socio-economic impact assessment was carried out on three dairy projects within QLIF to identify the business, consumer and policy issues likely to influence the adoption of the innovations resulting from QLIF. A socio-economic analysis is pre-sented related to the key outcomes from the three projects which include: manage-ment systems to reduce mastitis and antibiotic use in organic dairy farms and how milk quality can be enhanced through high forage organic feeding systems. Due to...

  16. Image Analysis of Fabric Pilling Based on Light Projection

    陈霞; 黄秀宝


    The objective assessment of fabric pilling based on light projection and image analysis has been exploited recently.The device for capturing the cross-sectional images of the pilled fabrics with light projection is elaborated.The detection of the profile line and integration of the sequential cross-sectional pilled image are discussed.The threshold based on Gaussian model is recommended for pill segmentation.The results show that the installed system is capable of eliminating the interference with pill information from the fabric color and pattern.

  17. Extracellular matrix stiffness modulates VEGF calcium signaling in endothelial cells: individual cell and population analysis.

    Derricks, Kelsey E; Trinkaus-Randall, Vickery; Nugent, Matthew A


    Vascular disease and its associated complications are the number one cause of death in the Western world. Both extracellular matrix stiffening and dysfunctional endothelial cells contribute to vascular disease. We examined endothelial cell calcium signaling in response to VEGF as a function of extracellular matrix stiffness. We developed a new analytical tool to analyze both population based and individual cell responses. Endothelial cells on soft substrates, 4 kPa, were the most responsive to VEGF, whereas cells on the 125 kPa substrates exhibited an attenuated response. Magnitude of activation, not the quantity of cells responding or the number of local maximums each cell experienced distinguished the responses. Individual cell analysis, across all treatments, identified two unique cell clusters. One cluster, containing most of the cells, exhibited minimal or slow calcium release. The remaining cell cluster had a rapid, high magnitude VEGF activation that ultimately defined the population based average calcium response. Interestingly, at low doses of VEGF, the high responding cell cluster contained smaller cells on average, suggesting that cell shape and size may be indicative of VEGF-sensitive endothelial cells. This study provides a new analytical tool to quantitatively analyze individual cell signaling response kinetics, that we have used to help uncover outcomes that are hidden within the average. The ability to selectively identify highly VEGF responsive cells within a population may lead to a better understanding of the specific phenotypic characteristics that define cell responsiveness, which could provide new insight for the development of targeted anti- and pro-angiogenic therapies.

  18. Managing Performance Analysis with Dynamic Statistical Projection Pursuit

    Vetter, J.S.; Reed, D.A.


    Computer systems and applications are growing more complex. Consequently, performance analysis has become more difficult due to the complex, transient interrelationships among runtime components. To diagnose these types of performance issues, developers must use detailed instrumentation to capture a large number of performance metrics. Unfortunately, this instrumentation may actually influence the performance analysis, leading the developer to an ambiguous conclusion. In this paper, we introduce a technique for focusing a performance analysis on interesting performance metrics. This technique, called dynamic statistical projection pursuit, identifies interesting performance metrics that the monitoring system should capture across some number of processors. By reducing the number of performance metrics, projection pursuit can limit the impact of instrumentation on the performance of the target system and can reduce the volume of performance data.

  19. Convergence analysis of a Pad\\'{e} family of iterations for the matrix sector function

    Karp, Dmitry B


    The main purpose of this paper is to give a solution to a conjecture concerning a Pad\\'{e} family of iterations for the matrix sector function that was recently raised by B. Laszkiewicz et al in [A Pad\\'{e} family of iterations for the matrix sector function and the matrix $p$th root, Numer. Linear Algebra Appl. 2009; 16:951-970]. Using a sharpened version Schwarz's lemma, we also demonstrate a strengthening of the conjecture.

  20. Conversion of matrixes of parameters and the analysis of circuits after closing and breaking of arbitrary number of branches

    V. D. Stashuk


    Full Text Available The theorem which allows to define the magnitude order of determinant at which value of arbitrary quantity of elements grows infinitely is proved. The method of the analysis of electric circuits after closing and breaking of arbitrary quantity of branches is developed, using only one of matrixes of parameters (conductivities or resistance the initial circuit. Circuit analysis examples after closing of branch are given, using a matrix of conductivities of the initial circuit. Generally when closing arbitrary number of nodal couples theorem application also allows to find potentials of all nodes and currents of all branches, closed branches inclusively. For this purpose it is necessary to the appropriate elements of determinant on which required values are calculated, to add with a due sign of value of y and to pass to a limit, having applied the theorem. If the matrix of Z - parameters of the initial circuit is set, it is possible to receive dual results, using the proved theorem.

  1. The CAVES Project - Exploring Virtual Data Concepts for Data Analysis

    Bourilkov, D


    The Collaborative Analysis Versioning Environment System (CAVES) project concentrates on the interactions between users performing data and/or computing intensive analyses on large data sets, as encountered in many contemporary scientific disciplines. In modern science increasingly larger groups of researchers collaborate on a given topic over extended periods of time. The logging and sharing of knowledge about how analyses are performed or how results are obtained is important throughout the lifetime of a project. Here is where virtual data concepts play a major role. The ability to seamlessly log, exchange and reproduce results and the methods, algorithms and computer programs used in obtaining them enhances in a qualitative way the level of collaboration in a group or between groups in larger organizations. The CAVES project takes a pragmatic approach in assessing the needs of a community of scientists by building series of prototypes with increasing sophistication. In extending the functionality of existi...

  2. Matrix metalloproteinase 9 expression and survival of patients with osteosarcoma: a meta-analysis.

    Liu, Y; Wang, Y; Teng, Z; Chen, J; Li, Y; Chen, Z; Li, Z; Zhang, Z


    Several studies have evaluated the effect of matrix metalloproteinase-9 (MMP-9) expression on the overall survival of patients with osteosarcoma, but the results remain conflicting. To examine the prognostic significance of MMP-9 expression in osteosarcoma risk, we conducted this meta-analysis to systematically review the published studies. We searched the commonly used electronic databases updated to September 2013 for relevant studies which evaluated the correction between MMP-9 expression and survival of patients with osteosarcoma. Overall, a total of eight studies including 437 cases were screened out. No significant heterogeneity was observed between studies. The MMP-9 was expressed in 73.9% (323/437) of cases, and the results showed that MMP-9 expression was associated with increased mortality rate of osteosarcoma during the follow-up (risk ratio = 2.79, 95% confidence interval, CI = 1.96-3.97, P osteosarcoma risk among Asian and non-Asian population (P osteosarcoma. In conclusion, this meta-analysis indicated that MMP-9 expression might be a biomarker of poor prognosis for patients with osteosarcoma. However, the prognostic value of MMP-9 on survival of osteosarcoma patients still needs further large-scale trials to be clarified. © 2015 John Wiley & Sons Ltd.

  3. Health monitoring of Ceramic Matrix Composites from waveform-based analysis of Acoustic Emission

    Maillet Emmanuel


    Full Text Available Ceramic Matrix Composites (CMCs are anticipated for use in the hot section of aircraft engines. Their implementation requires the understanding of the various damage modes that are involved and their relation to life expectancy. Acoustic Emission (AE has been shown to be an efficient technique for monitoring damage evolution in CMCs. However, only a waveform-based analysis of AE can offer the possibility to validate and precisely examine the recorded AE data with a view to damage localization and identification. The present work fully integrates wave initiation, propagation and acquisition in the analysis of Acoustic Emission waveforms recorded at various sensors, therefore providing more reliable information to assess the relation between Acoustic Emission and damage modes. The procedure allows selecting AE events originating from damage, accurate determination of their location as well as the characterization of effects of propagation on the recorded waveforms. This approach was developed using AE data recorded during tensile tests on carbon/carbon composites. It was then applied to melt-infiltrated SiC/SiC composites.

  4. Cluster structure of EU-15 countries derived from the correlation matrix analysis of macroeconomic index fluctuations

    Gligor, M


    The statistical distances between countries, calculated for various moving average time windows, are mapped into the ultrametric subdominant space as in classical Minimal Spanning Tree methods. The Moving Average Minimal Length Path (MAMLP) algorithm allows a decoupling of fluctuations with respect to the mass center of the system from the movement of the mass center itself. A Hamiltonian representation given by a factor graph is used and plays the role of cost function. The present analysis pertains to 11 macroeconomic (ME) indicators, namely the GDP (x1), Final Consumption Expenditure (x2), Gross Capital Formation (x3), Net Exports (x4), Consumer Price Index (y1), Rates of Interest of the Central Banks (y2), Labour Force (z1), Unemployment (z2), GDP/hour worked (z3), GDP/capita (w1) and Gini coefficient (w2). The target group of countries is composed of 15 EU countries, data taken between 1995 and 2004. By two different methods (the Bipartite Factor Graph Analysis and the Correlation Matrix Eigensystem Anal...

  5. Matrix metalloproteinase gene polymorphisms and periodontitis susceptibility: a meta-analysis involving 6,162 individuals.

    Weng, Hong; Yan, Yan; Jin, Ying-Hui; Meng, Xiang-Yu; Mo, Yuan-Yuan; Zeng, Xian-Tao


    We aimed to systematically investigate the potential association of matrix metalloproteinase (MMP)-9, -3, -2, and -8 gene polymorphisms with susceptibility to periodontitis using meta-analysis. A literature search in PubMed, Embase, and Web of Science was conducted to obtain relevant publications. Finally a total of 16 articles with 24 case-control studies (nine on MMP-9-1562 C/T, seven on MMP-3-1171 A5/A6, four on MMP-2-753C/T, and four on MMP-8-799 C/T) were considered in this meta-analysis. The results based on 2,724 periodontitis patients and 3,438 controls showed that MMP-9-1562C/T, MMP-3-1171 A5/A6, and MMP-8-799C/T polymorphisms were associated with periodontitis susceptibility. No significant association was found between MMP-2-753 C/T and periodontitis susceptibility. Subgroup analyses suggested that the MMP-9-1562 C/T polymorphism reduced chronic periodontitis susceptibility and MMP-3-1171 A5/A6 polymorphism increased chronic periodontitis susceptibility. In summary, current evidence demonstrated that MMP-9-753 C/T polymorphism reduced the risk of periodontitis, MMP-3-1171 5A/6A and MMP-8-799 C/T polymorphisms increased the risk of periodontitis, and MMP-2-753 C/T was not associated with risk of periodontitis.

  6. Analysis of gold in rock samples using laser-induced breakdown spectroscopy: Matrix and heterogeneity effects

    Rifai, Kheireddine; Laflamme, Marcel; Constantin, Marc; Vidal, François; Sabsabi, Mohamad; Blouin, Alain; Bouchard, Paul; Fytas, Konstantinos; Castello, Maryline; Kamwa, Blandine Nguegang


    We used the laser-induced breakdown spectroscopy (LIBS) technique to determine the concentration of gold in rock samples. 44 reference materials (mostly compressed fine powders) of various chemical compositions, with a quasi-homogeneous concentration of gold varying from 0 to 1000 ppm, were used to establish the calibration curve for the Au I 267.59 nm line. A chemometric study based on the principal component analysis (PCA) showed that 83% of the LIBS spectra variations are attributable to the presence of iron in the samples. Two distinct branches were obtained in the calibration curve: one for Si-rich samples ( 13% of iron) with limits of detection of 0.8 ppm and 1.5 ppm, respectively. Different normalization schemes of the gold signal were tested in order to reduce the matrix effects. The LIBS analysis was performed on various mineral samples of practical interest, namely two Si-rich uncompressed ore powders, fine and granular, and three bulk drill cores. The fluctuations in the gold concentration measurements appear to be about two times greater in the granular powder (5-10%) than in the fine one (2-5%). A detailed mapping of the gold concentration on a solid drill core was also performed, revealing multiscale heterogeneity of the gold distribution on the surface of the sample.

  7. Analysis of tomato matrix effect in pesticide residue quantification through QuEChERS and single quadrupole GC/MS

    Ana M Domínguez


    Full Text Available The detection of pesticide in tomato (Solanum lycopersicum L. matrix using Gas Chromatography hyphenated to Mass Spectrometry detector (GC/MS can affect the sensitivity of the analysis by enhancement or suppression of their chromatography response, the percentages of recoveries and leading to errors in the quantification of the pesticides. In this study, the matrix effect was investigated using nine pesticides, and "Quick, Easy, Cheap, Effective, Rugged and Safe" (QuEChERS-GC/MS analytical technique was validated for pesticides multiresidue analysis. The matrix effect was determined using not statistical and statistical procedures including ANOVA, with similar results. Strong negative matrix effect was found for the pesticides trifluralin, 4,4'-DDT, and permethrin, resulting in the increment of the chromatogram background and a decrease in their detection responses. Contrary, an enhancement induced by the matrix presence was obtained for carbaryl and azinphos methyl, showing a positive medium matrix effect. While, dimethoate, simazine, 4,4'-DDE, and iprodione did not exhibit matrix effect. The detection limits (LOD obtained, varied from 0.003 to 0.1 mg kg-1. Reproducibility was less than 20% for each pesticide. Recoveries were found to be between 71% and 121%, except for dimethoate, carbaryl, and azinphos methyl which reached values lower than 70%. Recoveries relative standard deviations were less than 22%. QuEChERS-GC/MS technique was used for evaluation of fresh commercial tomatoes samples, detecting carbaryl in all of them, but in concentration levels lower than the maximum residue limits according to regulations of Codex.

  8. IoT Platforms: Analysis for Building Projects

    Rusu Liviu DUMITRU


    Full Text Available This paper presents a general survey of IoT platforms in terms of features for IoT project de-velopers. I will briefly summarize the state of knowledge in terms of technology regarding “In-ternet of Things” first steps in developing this technology, history, trends, sensors and micro-controllers used. I have evaluated a number of 5 IoT platforms in terms of the features needed to develop a IoT project. I have listed those components that are most appreciated by IoT pro-ject developers and the results have been highlighted in a comparative analysis of these plat-forms from the point of view of IoT project developers and which are strictly necessary as a de-velopment environment for an IoT project based. I’ve also considered the users' views of such platforms in terms of functionality, advantages, disadvantages and dangers presented by this technology.

  9. Going South: Analysis of an Historic Project Engineering Failure

    Scott, John H.


    NASA's successful conduct of the Apollo Program greatly enhanced the prestige of the United States and remains broadly accepted as America's gift to all Mankind. NASA's accomplishments continue to amaze the world. With the Vision for Space Exploration (VSE) Americans once again tasked NASA to carry out a project that is expected to provide inspiration and economic stimulus to the United States and to the world. In preparation NASA has thoroughly examined space program precedents. There is, however, another precedent which has not been examined in this context but whose scope and environment in many ways parallel the VSE. This project was initiated by a team that had, ten years before, successfully completed an effort that, at a cost of $173 billion (in 2008 dollars), had pushed the envelope of technology, brought economic growth, established their country as the world leader in engineering, and been broadly accepted as that country's gift to all Mankind. The new project was again inspired by popular desire to enhance national prestige and make yet another major contribution to Humanity. This effort was predicted to require eight years and $156 billion (2008 dollars). However, after nine years and expenditures of 96% beyond the baseline, the project collapsed amid bankruptcy, political scandal, and criminal prosecution. This paper applies current project management metrics, such as earned value analysis, to review the strategic decisions in this historic failure and describe its ultimate collapse. Key mistakes are identified, and lessons are drawn which may prove useful in guiding the VSE.

  10. Sustainable Biofuel Project: Emergy Analysis of South Florida Energy Crops

    Amponsah, Nana Yaw [Intelligentsia International, Inc., LaBelle, FL (United States); Izursa, Jose-Luis [Intelligentsia International, Inc., LaBelle, FL (United States); Hanlon, Edward A. [Univ. of Florida, Gainesville, FL (United States). Soil and Water Sciences Dept.; Capece, John C. [Intelligentsia International, Inc., LaBelle, FL (United States)


    This study evaluates the sustainability of various farming systems, namely (1) sugarcane on organic and mineral soils and (2) energycane and sweet sorghum on mineral soils. The primary objective of the study is to compare the relative sustainability matrices of these energy crops and their respective farming systems. These matrices should guide decision and policy makers to determine the overall sustainability of an intended or proposed bioethanol project related to any of these studied crops. Several different methods of energy analysis have been proposed to assess the feasibility or sustainability of projects exploiting natural resources (such as (Life Cycle Analysis, Energy Analysis, Exergy Analysis, Cost Benefit Analysis, Ecological Footprint, etc.). This study primarily focused on the concept of Emergy Analysis, a quantitative analytical technique for determining the values of nonmonied and monied resources, services and commodities in common units of the solar energy it took to make them. With this Emergy Analysis study, the Hendry County Sustainable Biofuels Center intends to provide useful perspective for different stakeholder groups to (1) assess and compare the sustainability levels of above named crops cultivation on mineral soils and organic soils for ethanol production and (2) identify processes within the cultivation that could be targeted for improvements. The results provide as much insight into the assumptions inherent in the investigated approaches as they do into the farming systems in this study.

  11. A new matrix assisted ionization method for the analysis of volatile and nonvolatile compounds by atmospheric probe mass spectrometry.

    Chakrabarty, Shubhashis; Pagnotti, Vincent S; Inutan, Ellen D; Trimpin, Sarah; McEwen, Charles N


    Matrix assisted ionization of nonvolatile compounds is shown not to be limited to vacuum conditions and does not require a laser. Simply placing a solution of analyte dissolved with a suitable matrix such as 3-nitrobenzonitrile (3-NBN) or 2,5-dihydroxyacetophenone on a melting point tube and gently heating the dried sample near the ion entrance aperture of a mass spectrometer using a flow of gas produces abundant ions of peptides, small proteins, drugs, and polar lipids. Fundamental studies point to matrix-mediated ionization occurring prior to the entrance aperture of the mass spectrometer. The method is analytically useful, producing peptide mass fingerprints of bovine serum albumin tryptic digest consuming sub-picomoles of sample. Application of 100 fmol of angiotensin I in 3-NBN matrix produces the doubly and triply protonated molecular ions as the most abundant peaks in the mass spectrum. No carryover is observed for samples containing up to 100 pmol of this peptide. A commercial atmospheric samples analysis probe provides a simple method for sample introduction to an atmospheric pressure ion source for analysis of volatile and nonvolatile compounds without using the corona discharge but using sample preparation similar to matrix-assisted laser desorption/ionization.

  12. Thermal analysis on Al7075/Al2O3 metal matrix composites fabricated by stir casting process

    Jacob, S.; Shajin, S.; Gnanavel, C.


    Metal matrix Composites (MMC’s) have evoked a keen interest in recent times for various applications in aerospace, renewable energy and automotive industries due to their superior strength, low cost, easy availability and high temperature resistance [1]. The crack and propagation occurs in conventional materials without any appreciable indication in a short span. Hence composite materials are preferred nowadays to overcome this problem [2]. The process of metal matrix composites (MMC’s) is to unite the enviable attributes of metals and ceramics. The Stir casting method is used for producing aluminium metal matrix composites (AMC’s). A key challenge of the process is to spread the ceramic particles to achieve a defect free microstructure [2]. By carefully selecting stir casting processing specification, such as stirring time, temperature of the melt and blade angle, the desired microstructure can be obtained. The focus of this work is to develop a high strength particulate strengthen aluminium metal matrix composites, and Al7075 was selected which can offer high strength without much disturbing ductility of metal matrix [4]. The composites will be examined using standard metallurgical and mechanical tests. The cast composites are analysed to Laser flash analysis (LFA) to determine Thermal conductivity [5]. Also changes in microstructure are determined by using SEM analysis.

  13. Market Correlation Structure Changes Around the Great Crash: A Random Matrix Theory Analysis of the Chinese Stock Market

    Han, Rui-Qi; Xie, Wen-Jie; Xiong, Xiong; Zhang, Wei; Zhou, Wei-Xing

    The correlation structure of a stock market contains important financial contents, which may change remarkably due to the occurrence of financial crisis. We perform a comparative analysis of the Chinese stock market around the occurrence of the 2008 crisis based on the random matrix analysis of high-frequency stock returns of 1228 Chinese stocks. Both raw correlation matrix and partial correlation matrix with respect to the market index in two time periods of one year are investigated. We find that the Chinese stocks have stronger average correlation and partial correlation in 2008 than in 2007 and the average partial correlation is significantly weaker than the average correlation in each period. Accordingly, the largest eigenvalue of the correlation matrix is remarkably greater than that of the partial correlation matrix in each period. Moreover, each largest eigenvalue and its eigenvector reflect an evident market effect, while other deviating eigenvalues do not. We find no evidence that deviating eigenvalues contain industrial sectorial information. Surprisingly, the eigenvectors of the second largest eigenvalues in 2007 and of the third largest eigenvalues in 2008 are able to distinguish the stocks from the two exchanges. We also find that the component magnitudes of the some largest eigenvectors are proportional to the stocks’ capitalizations.

  14. Analysis of registered CDM projects: potential removal of evidenced bottlenecks

    Agosto, D.; Bombard, P.; Gostinelli, F.


    The Clean Development Mechanism (CDM) has developed during its first period of implementation, a distinctive set of patterns. The authors thought of concentrating on the CDM analysis in order to highlight potential remedies or reasons for given bottlenecks. In order to establish a sort of extensive SWOT analysis for CDMs, all the 356 projects actually (November 2006) registered at UNFCCC were examined, together with all the about 1000 PDDs presented to the UNFCCC but not registered yet. The CDM projects have been studied trying to cluster projects according to relevant characteristics, both from a technical and an economic point of view. Chosen indicators are meant to identify: more convenient/more diffused energy system for a CDM; reasons for a geographical distribution of different types of projects; potentials for a future exploitation of lower used technologies in CDM. Conclusions are drawn and appropriate tables and graphs presented. (1) the Baseline Emission Factor, combined to economic patterns, is the pivotal factor that characterizes both choices of host country and technology; (2) some technologies can exploit appropriately CDM scheme, whilst other technologies, are constrained by it. (3) there are still some important weak points: grouping of non Annex I countries; crediting period; criteria for the evaluation of sustainable development. (auth)

  15. Automated coupling of capillary-HPLC to matrix-assisted laser desorption/ionization mass spectrometry for the analysis of small molecules utilizing a reactive matrix.

    Brombacher, Stephan; Owen, Stacey J; Volmer, Dietrich A


    This study describes the application of a novel, reactive matrix for the mass spectral analysis of steroids by capillary-high performance liquid chromatography (capillary-HPLC) coupled to matrix-assisted laser desorption/ionization (MALDI). The mass spectral analysis of steroids was accomplished after fully automated peak deposition of chromatographic peaks onto MALDI targets. The seven corticosteroids used as test compounds were: triamcinolone, prednisone, cortisone, fludrocortisone, dexamethasone, deoxycorticosterone, and budesonide. They were separated using a PepMap C(18) (3 microm particle size, 100 A pore width) column at five different concentration levels of 25, 15, 7.5, 2.5 and 1 ng/microL, and the peaks were detected at a wavelength of 237 nm. The column effluent was mixed with 2,4-dinitrophenylhydrazine (DNPH) directly following the UV detector. The chromatographic peaks were then deposited onto the MALDI target with a robotic micro-fraction collector triggered by the UV detector signals. A special hydrophobic surface coating allowed the deposition of up to 4 microL (up to 90 % of the chromatographic peak volume) onto one sample spot. The compounds were then identified by MALDI mass spectrometry. Depending on the nature of the analyte, radical cations ([M](+.)) and sodium adduct ions ([M+Na](+)) of the steroids as well as protonated steroid-dinitrophenylhydrazone derivatives ([M(D)+H](+)) were detected in positive ion mode. The detection limits were between 0.5 and 15 ng injected with capillary-HPLC-MALDI-TOF-MS and between 0.3 and 3 ng on target with MALDI-TOF when deposited manually.

  16. Descriptive vector, relative error matrix, and interaction analysis of multivariable plants

    Monshizadeh-Naini, Nima; Fatehi, Alireza; Kahki-Sedigh, Ali

    In this paper, we introduce a vector which is able to describe the Niederlinski Index (NI), Relative Gain array (RGA), and the characteristic equation of the relative error matrix. The spectral radius and the structured singular value of the relative error matrix are investigated. The cases where

  17. Linear Matrix Inequalities for Analysis and Control of Linear Vector Second-Order Systems

    Adegas, Fabiano Daher; Stoustrup, Jakob


    the Lyapunov matrix and the system matrices by introducing matrix multipliers, which potentially reduce conservativeness in hard control problems. Multipliers facilitate the usage of parameter-dependent Lyapunov functions as certificates of stability of uncertain and time-varying vector second-order systems...

  18. Development of matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) for plant metabolite analysis

    Korte, Andrew R [Iowa State Univ., Ames, IA (United States)


    This thesis presents efforts to improve the methodology of matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) as a method for analysis of metabolites from plant tissue samples. The first chapter consists of a general introduction to the technique of MALDI-MSI, and the sixth and final chapter provides a brief summary and an outlook on future work.

  19. Ionic liquid matrix-based dispersive liquid-liquid microextraction for enhanced MALDI-MS analysis of phospholipids in soybean.

    Shrivas, Kamlesh; Tapadia, Kavita


    Ionic liquid matrix (ILM) is found to be a very versatile substance for analysis of broad range of organic molecules in matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) due to good solubility for a variety of analytes, formation of homogenous crystals and high vacuum stability of the matrix. In the present work, an ILM, cyno-4-hydroxycinnamic acid-butylamine (CHCAB) was employed in dispersive liquid-liquid microextraction (DLLME) as sample probe and matrix for extraction and ionization of phospholipids from food samples (soybean) prior to MALDI-MS analysis. With the employed technique, 8-125 fold improvement in signal intensity and limit of detection were achieved for the analysis of phospholipids. The best extraction efficiency of phospholipids in ILM-DLLME was obtained with 5min extraction time in presence 30mg/mL CHCAB and 1.2% NaCl using chloroform as an extracting solvent and methanol as a dispersing solvent. Further, the developed ILM-DLLME procedure has been successfully applied for the analysis of phospholipids in soybean samples in MALDI-MS.

  20. Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization

    Alexandrov, Boian S.; Vesselinov, Velimir V.


    The identification of the physical sources causing spatial and temporal fluctuations of aquifer water levels is a challenging, yet a very important hydrogeological task. The fluctuations can be caused by variations in natural and anthropogenic sources such as pumping, recharge, barometric pressures, etc. The source identification can be crucial for conceptualization of the hydrogeological conditions and characterization of aquifer properties. We propose a new computational framework for model-free inverse analysis of pressure transients based on Nonnegative Matrix Factorization (NMF) method for Blind Source Separation (BSS) coupled with k-means clustering algorithm, which we call NMFk. NMFk is capable of identifying a set of unique sources from a set of experimentally measured mixed signals, without any information about the sources, their transients, and the physical mechanisms and properties controlling the signal propagation through the subsurface flow medium. Our analysis only requires information about pressure transients at a number of observation points, m, where m≥r, and r is the number of unknown unique sources causing the observed fluctuations. We apply this new analysis on a data set from the Los Alamos National Laboratory site. We demonstrate that the sources identified by NMFk have real physical origins: barometric pressure and water-supply pumping effects. We also estimate the barometric pressure efficiency of the monitoring wells. The possible applications of the NMFk algorithm are not limited to hydrogeology problems; NMFk can be applied to any problem where temporal system behavior is observed at multiple locations and an unknown number of physical sources are causing these fluctuations.

  1. Strategic Analysis of a Video Compression Software Project

    Bai, Chun Jung Rosalind


    The objective of this project is to develop a strategic recommendation for market entry of the Client's new software product based on a breakthrough predictive-decoding technology. The analysis examines videoconferencing market and reveals that there is a strong demand for the software products that can reduce delays in interactive video communications while maintaining reasonable video quality. The evaluation of the key external competitive forces suggests that the market has low intensity o...

  2. SNF fuel retrieval sub project safety analysis document



    This safety analysis is for the SNF Fuel Retrieval (FRS) Sub Project. The FRS equipment will be added to K West and K East Basins to facilitate retrieval, cleaning and repackaging the spent nuclear fuel into Multi-Canister Overpack baskets. The document includes a hazard evaluation, identifies bounding accidents, documents analyses of the accidents and establishes safety class or safety significant equipment to mitigate accidents as needed.

  3. Multi-cultural Wikipedia mining of geopolitics interactions leveraging reduced Google matrix analysis

    Frahm, Klaus M.; El Zant, Samer; Jaffrès-Runser, Katia; Shepelyansky, Dima L.


    Geopolitics focuses on political power in relation to geographic space. Interactions among world countries have been widely studied at various scales, observing economic exchanges, world history or international politics among others. This work exhibits the potential of Wikipedia mining for such studies. Indeed, Wikipedia stores valuable fine-grained dependencies among countries by linking webpages together for diverse types of interactions (not only related to economical, political or historical facts). We mine herein the Wikipedia networks of several language editions using the recently proposed method of reduced Google matrix analysis. This approach allows to establish direct and hidden links between a subset of nodes that belong to a much larger directed network. Our study concentrates on 40 major countries chosen worldwide. Our aim is to offer a multicultural perspective on their interactions by comparing networks extracted from five different Wikipedia language editions, emphasizing English, Russian and Arabic ones. We demonstrate that this approach allows to recover meaningful direct and hidden links among the 40 countries of interest.

  4. Matrix metalloproteinase 9 (MMP-9) in osteosarcoma: review and meta-analysis.

    Wang, Jing; Shi, Qiong; Yuan, Tai-Xian; Song, Qi-Lin; Zhang, Yan; Wei, Qiang; Zhou, Lan; Luo, Jinyong; Zuo, Guowei; Tang, Min; He, Tong-Chuan; Weng, Yaguang


    The aim of this study is to determine the value of matrix metalloproteinase 9 (MMP-9) in diagnosis of osteosarcoma (OS). A systematic review and meta-analysis was conducted using MEDLINE, Embase, ISI Web of Knowledge, the Cochrane Library, Scopus, BioMed Central, ScienceDirect, China Biomedical literature Database (CBM) and China National Knowledge Internet (CNKI) from inception through Aug 29, 2013. Articles written in English or Chinese that investigated the accuracy of MMP-9 for the diagnosis of OS were included. Pooled sensitivity, specificity and the area under the receiver operating characteristic curve (AUC) were determined. I(2) was used to test heterogeneity and source of heterogeneity was investigated by meta-regression (tested with Meta-DiSc and STATA 12.0 statistical softwares). A total of 3729 articles were retrieved, of which 18 were included, accounting for 892 patients. Overall, the pooled sensitivity, specificity and AUC were 0.78 (95% CI 0.730-0.83), 0.90 (95% CI 0.79-0.95), and 0.87 (95% CI 0.83-0.89), respectively. The studies had substantial heterogeneity (I(2)=84%, 95% CI 65-100) (96%, 95% CI 94-99). Assay kit subgroup was the main source of the heterogeneity. Although MMP-9 was identified as a potential biomarker for OS, more studies were clearly needed to establish its diagnostic value.

  5. Analysis of mine's air leakage based on pressure gradient matrix between nodes

    ZHANG Jian-rang; WANG Hong-gang; WU Feng-liang; CHANG Xin-tan


    Air leakage may significantly affect the effectiveness of mine ventilation by in-creasing the cost of ventilation and arousing problems for ventilation management. Fur-thermore, air leakage may accelerate the process of coal spontaneous combustion andcause gas explosion, thus greatly threatens the safety of coat production. The estimationof air leakage, therefore, have great practical significance. For any ventilation system ofcoal mines, there is a defined pattern of pressure gradient which drived the mine air toflow in the network, drives possible air leakage to go shortcut as well. Air leakage mayoccur through ventilation structures such as ventilation doors and fractures of the surroun-dig coal and rock of airways. A concept and the relevent calculation method of the pres-sure gradient matrix was put forward to assist the analysis of potential air leakage routes.A simplified example was used to introduce the application principle of'pressure gradientmatrix in identifying all the potential air leaking routes, which offers a deeper understand-ing over the ventilation system and the prevention of coal spontaneous combustion.


    王旭; 沈亚鹏


    A closed-form full-field solution for the problem of a partially debonded conducting rigid elliptical inclusion embedded in a piezoelectric matrix is obtained by employing the eight-dimensional Stroh formula in conjunction with the techniques of conformal mapping, analytical continuation and singularity analysis. Some new identities and sums for anisotropic piezoelectric media are also derived, through which real-form expressions for the stresses and electric displacements along the interface as well as the rotation of the rigid inclusion can be obtained. As is expected, the stresses and electric displacements at the tips of the debonded part of the interface exhibit the same singular behavior as in the case of a straight Griffith interface crack between dissimilar piezoelectric media. Some numerical examples are presented to validate the correctness of the obtained solution and also to illustrate the generality of the exact solution and the effects of various electromechanical loading conditions, geometry parameters and material constants on the distribution of stresses and electric displacements along the interface.


    Sakthivel Karthikeyan


    Full Text Available Glaucoma is a multifactorial optic neuropathy disease characterized by elevated Intra Ocular Pressure (IOP. As the visual loss caused by the disease is irreversible, early detection is essential. Fundus images are used as input and it is preprocessed using histogram equalization. First order features from histogram and second order features from Gray Level Co-occurrence Matrix (GLCM are extracted from the preprocessed image as textural features reflects physiological changes in the fundus images. Second order textural features are extracted for different quantization levels namely 8, 16, 32, 64, 128 and 256 in four orientations viz 0, 45, 90 and 135° for various distances. Extracted features are selected using Sequential Forward Floating Selection (SFFS technique.The selected features are fed to Back Propagation Network (BPN for classification as normal and abnormal images. The proposed computer aided diagnostic system achieved 96% sensitivity, 94% specificity, 95% accuracy and can be used for screening purposes. In this study, the analysis of gray levels have shown their significance in the classification of glaucoma.

  8. The analysis of time-resolved optical waveguide absorption spectroscopy based on positive matrix factorization.

    Liu, Ping; Li, Zhu; Li, Bo; Shi, Guolong; Li, Minqiang; Yu, Daoyang; Liu, Jinhuai


    Time-resolved optical waveguide absorption spectroscopy (OWAS) makes use of an evanescent field to detect the polarized absorption spectra of sub-monomolecular adlayers. This technique is suitable for the investigation of kinetics at the solid/liquid interface of dyes, pigments, fluorescent molecules, quantum dots, metallic nanoparticles, and proteins with chromophores. In this work, we demonstrate the application of positive matrix factorization (PMF) to analyze time-resolved OWAS for the first time. Meanwhile, PCA is researched to compare with PMF. The absorption/desorption kinetics of Rhodamine 6G (R6G) onto a hydrophilic glass surface and the dynamic process of Meisenheimer complex between Cysteine and TNT are selected as samples to verify experimental system and analytical methods. The results are shown that time-resolved OWAS can well record the absorption/desorption of R6G onto a hydrophilic glass surface and the dynamic formation process of Meisenheimer complexes. The feature of OWAS extracted by PMF is dynamic and consistent with the results analyzed by the traditional function of time/wavelength-absorbance. Moreover, PMF prevents the negative factors from occurring, avoids contradicting physical reality, and makes factors more easily interpretable. Therefore, we believe that PMF will provide a valuable analysis route to allow processing of increasingly large and complex data sets.

  9. Investigation of Product Performance of Al-Metal Matrix Composites Brake Disc using Finite Element Analysis

    Fatchurrohman, N.; Marini, C. D.; Suraya, S.; Iqbal, AKM Asif


    The increasing demand of fuel efficiency and light weight components in automobile sectors have led to the development of advanced material parts with improved performance. A specific class of MMCs which has gained a lot of attention due to its potential is aluminium metal matrix composites (Al-MMCs). Product performance investigation of Al- MMCs is presented in this article, where an Al-MMCs brake disc is analyzed using finite element analysis. The objective is to identify the potentiality of replacing the conventional iron brake disc with Al-MMCs brake disc. The simulation results suggested that the MMCs brake disc provided better thermal and mechanical performance as compared to the conventional cast iron brake disc. Although, the Al-MMCs brake disc dissipated higher maximum temperature compared to cast iron brake disc's maximum temperature. The Al-MMCs brake disc showed a well distributed temperature than the cast iron brake disc. The high temperature developed at the ring of the disc and heat was dissipated in circumferential direction. Moreover, better thermal dissipation and conduction at brake disc rotor surface played a major influence on the stress. As a comparison, the maximum stress and strain of Al-MMCs brake disc was lower than that induced on the cast iron brake disc.

  10. Stealthy false data injection attacks using matrix recovery and independent component analysis in smart grid

    JiWei, Tian; BuHong, Wang; FuTe, Shang; Shuaiqi, Liu


    Exact state estimation is vital important to maintain common operations of smart grids. Existing researches demonstrate that state estimation output could be compromised by malicious attacks. However, to construct the attack vectors, a usual presumption in most works is that the attacker has perfect information regarding the topology and so on even such information is difficult to acquire in practice. Recent research shows that Independent Component Analysis (ICA) can be used for inferring topology information which can be used to originate undetectable attacks and even to alter the price of electricity for the profits of attackers. However, we found that the above ICA-based blind attack tactics is merely feasible in the environment with Gaussian noises. If there are outliers (device malfunction and communication errors), the Bad Data Detector will easily detect the attack. Hence, we propose a robust ICA based blind attack strategy that one can use matrix recovery to circumvent the outlier problem and construct stealthy attack vectors. The proposed attack strategies are tested with IEEE representative 14-bus system. Simulations verify the feasibility of the proposed method.

  11. Responsibility and Sustainability in a Food Chain: A Priority Matrix Analysis

    Francesco Caracciolo


    Full Text Available  This paper shows the results of empirical research conducted to assess the sustainability of a typical food supply chain, suggesting feasible solutions to satisfy inter-dimensional requisites of durable development. The analysis was conducted with reference to the supply chain of the San Marzano tomato (SMZ, a typical local food. The product is endowed with an origin certification label (PDO, meeting demand within high-value market niches. The SMZ is a flagship product in the Italian region of Campania and has benefited from several regionally funded interventions, such as genetic research and support for the application for EU certification of origin. Two key findings emerged from the research. First, the results allowed us to define a Stakeholder Priority and Responsibilities’ Matrix (SPRM, and monitor the sustainability trend of SMZ food supply chains. Second, the consistency between the adoption of quality strategy (brand of origin and sustainable development of the sector was evaluated. Despite its intrinsic characteristics and its organized, well-defined structure, the SMZ food supply chain is unable to address sustainable objectives without considerable public intervention and support. In terms of sustainability, to be able to show desirable food chain characteristics, the existence of a fully collaborative relationship between the actors has to be ascertained. Identifying shared goals is essential to assign and implement coordinated actions, pooling responsibility for product quality into social and environmental dimensions.

  12. Enrichment of Extracellular Matrix Proteins from Tissues and Digestion into Peptides for Mass Spectrometry Analysis.

    Naba, Alexandra; Clauser, Karl R; Hynes, Richard O


    The extracellular matrix (ECM) is a complex meshwork of cross-linked proteins that provides biophysical and biochemical cues that are major regulators of cell proliferation, survival, migration, etc. The ECM plays important roles in development and in diverse pathologies including cardio-vascular and musculo-skeletal diseases, fibrosis, and cancer. Thus, characterizing the composition of ECMs of normal and diseased tissues could lead to the identification of novel prognostic and diagnostic biomarkers and potential novel therapeutic targets. However, the very nature of ECM proteins (large in size, cross-linked and covalently bound, heavily glycosylated) has rendered biochemical analyses of ECMs challenging. To overcome this challenge, we developed a method to enrich ECMs from fresh or frozen tissues and tumors that takes advantage of the insolubility of ECM proteins. We describe here in detail the decellularization procedure that consists of sequential incubations in buffers of different pH and salt and detergent concentrations and that results in 1) the extraction of intracellular (cytosolic, nuclear, membrane and cytoskeletal) proteins and 2) the enrichment of ECM proteins. We then describe how to deglycosylate and digest ECM-enriched protein preparations into peptides for subsequent analysis by mass spectrometry.

  13. Free vibration analysis of open circular cylindrical shells by the method of reverberation-ray matrix

    Dong Tang


    Full Text Available This article is concerned with free vibration analysis of open circular cylindrical shells with either the two straight edges or the two curved edges simply supported and the remaining two edges supported by arbitrary classical boundary conditions. An analytical solution of the traveling wave form along the simply supported edges and the standing wave form along the remaining two edges is obtained based on the Flügge thin shell theory. With such a unidirectional traveling wave form solution, the method of reverberation-ray matrix is introduced to derive the equation of natural frequencies of the open circular cylindrical shell with various boundary conditions. Then, the golden section search algorithm is employed to obtain the natural frequencies of the open circular cylindrical shell. The calculation results are compared with those obtained by the finite element method and the method in available literature. Finally, the natural frequencies of the open circular cylindrical shell with various boundary conditions are calculated and the effects of boundary conditions on the natural frequencies are examined. The calculation results can be used as benchmark values for researchers to check their numerical methods and for engineers to design thin structures with shell components.

  14. Asymptotic Analysis of Large Cooperative Relay Networks Using Random Matrix Theory

    H. Poor


    Full Text Available Cooperative transmission is an emerging communication technology that takes advantage of the broadcast nature of wireless channels. In cooperative transmission, the use of relays can create a virtual antenna array so that multiple-input/multiple-output (MIMO techniques can be employed. Most existing work in this area has focused on the situation in which there are a small number of sources and relays and a destination. In this paper, cooperative relay networks with large numbers of nodes are analyzed, and in particular the asymptotic performance improvement of cooperative transmission over direction transmission and relay transmission is analyzed using random matrix theory. The key idea is to investigate the eigenvalue distributions related to channel capacity and to analyze the moments of this distribution in large wireless networks. A performance upper bound is derived, the performance in the low signal-to-noise-ratio regime is analyzed, and two approximations are obtained for high and low relay-to-destination link qualities, respectively. Finally, simulations are provided to validate the accuracy of the analytical results. The analysis in this paper provides important tools for the understanding and the design of large cooperative wireless networks.

  15. Optimization method of superpixel analysis for multi-contrast Jones matrix tomography (Conference Presentation)

    Miyazawa, Arata; Hong, Young-Joo; Makita, Shuichi; Kasaragod, Deepa K.; Miura, Masahiro; Yasuno, Yoshiaki


    Local statistics are widely utilized for quantification and image processing of OCT. For example, local mean is used to reduce speckle, local variation of polarization state (degree-of-polarization-uniformity (DOPU)) is used to visualize melanin. Conventionally, these statistics are calculated in a rectangle kernel whose size is uniform over the image. However, the fixed size and shape of the kernel result in a tradeoff between image sharpness and statistical accuracy. Superpixel is a cluster of pixels which is generated by grouping image pixels based on the spatial proximity and similarity of signal values. Superpixels have variant size and flexible shapes which preserve the tissue structure. Here we demonstrate a new superpixel method which is tailored for multifunctional Jones matrix OCT (JM-OCT). This new method forms the superpixels by clustering image pixels in a 6-dimensional (6-D) feature space (spatial two dimensions and four dimensions of optical features). All image pixels were clustered based on their spatial proximity and optical feature similarity. The optical features are scattering, OCT-A, birefringence and DOPU. The method is applied to retinal OCT. Generated superpixels preserve the tissue structures such as retinal layers, sclera, vessels, and retinal pigment epithelium. Hence, superpixel can be utilized as a local statistics kernel which would be more suitable than a uniform rectangle kernel. Superpixelized image also can be used for further image processing and analysis. Since it reduces the number of pixels to be analyzed, it reduce the computational cost of such image processing.

  16. Application of nanodiamonds in human body fluid analysis by matrix-assisted laser desorption/ionization mass spectrometry

    Xianglei Kong


    Direct mass spectrometric analysis of complex biological samples is very important and challenging. In this paper, nanodiamonds have been successfully used in matrix-assisted laser desorption/ionization mass spectrometric analysis of human serum and urine. As a practical tool and platform, it can be widely used in the field of humoral proteomics, and it plays a very promising role in clinical diagnosis, including identification of novel disease-associated biomarkers.

  17. S-matrix analysis of vibrational and alignment effects in intense-field multiphoton ionization of molecules

    Requate, A.


    Theoretical analysis of the vibrational excitation of small molecules during multiphoton ionization in intense laser fields of optical and infrared frequencies. Analysis of the alignment dependence of the electron impact ionization of diatomic molecules in the presence of an intense laser field as the final step in the process of Nonsequential Double Ionization. Quantum mechanical description using S-matrix theory in Strong Field Approximation (SFA), i.e. beyond perturbation theory. (orig.)


    T. F. Marinina


    Full Text Available Timeliness of double-layer matrix system (of stomatological medicated films with antiinflammatory, local anesthetic, regenerative, anti-edematous action was shown. One layer of the system includes lidocaine hydrochloride and kalanchoe sap, another contains furacilin and urea. The best possible polymer carriers of preparations under study which provide their sufficient release from matrix system. Signified antimicrobic activity of double-layer system and osmotic activity were established. Double-layer matrix systems offered may be used in stomatology with for treatment and preventive measures of different diseases of parodontium tissues

  19. Determination of Material Parameters for Microbuckling Analysis of Fiber Reinforced Polymer Matrix Composites

    Romanowicz M.


    Full Text Available This research focuses on studying the effect of the constitutive law adopted for a matrix material on the compressive response of a unidirectional fiber reinforced polymer matrix composite. To investigate this effect, a periodic unit cell model of a unidirectional composite with an initial fiber waviness and inelastic behavior of the matrix was used. The sensitivity of the compressive strength to the hydrostatic pressure, the flow rule and the fiber misalignment angle were presented. The model was verified against an analytical solution and experimental data. Results of this study indicate that a micromechanical model with correctly identified material parameters provides a useful alternative to theoretical models and experimentation.

  20. Determination of Material Parameters for Microbuckling Analysis of Fiber Reinforced Polymer Matrix Composites

    Romanowicz, M.


    This research focuses on studying the effect of the constitutive law adopted for a matrix material on the compressive response of a unidirectional fiber reinforced polymer matrix composite. To investigate this effect, a periodic unit cell model of a unidirectional composite with an initial fiber waviness and inelastic behavior of the matrix was used. The sensitivity of the compressive strength to the hydrostatic pressure, the flow rule and the fiber misalignment angle were presented. The model was verified against an analytical solution and experimental data. Results of this study indicate that a micromechanical model with correctly identified material parameters provides a useful alternative to theoretical models and experimentation.

  1. Convexity analysis and matrix-valued Schur class over finitely connected planar domains

    Ball, Joseph A


    We identify the set of extreme points and apply Choquet theory to a normalized matrix-measure ball subject to finitely many linear side constraints. As an application we obtain integral representation formulas for the Herglotz class of matrix-valued functions on a finitely-connected planar domain and associated continuous Agler decompositions for the matrix-valued Schur class over the domain. The results give some additional insight into the negative answer to the spectral set problem over such domains recently obtained by Agler-Harland-Raphael and Dritschel-McCullough.

  2. Evaluation of two fast and easy methods for pesticide residue analysis in fatty food matrixes.

    Lehotay, Steven J; Mastovská, Katerina; Yun, Seon Jong


    Two rapid methods of sample preparation and analysis of fatty foods (e.g., milk, eggs, and avocado) were evaluated and compared for 32 pesticide residues representing a wide range of physicochemical properties. One method, dubbed the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method for pesticide residue analysis, entailed extraction of 15 g sample with 15 mL acetonitrile (MeCN) containing 1% acetic acid followed by addition of 6 g anhydrous magnesium sulfate and 1.5 g sodium acetate. After centrifugation, 1 mL of the buffered MeCN extract underwent a cleanup step (in a technique known as dispersive solid-phase extraction) using 50 mg each of C18 and primary secondary amine sorbents plus 150 mg MgSO4. The second method incorporated a form of matrix solid-phase dispersion (MSPD), in which 0.5 g sample plus 2 g C18 and 2 g anhydrous sodium sulfate was mixed in a mortar and pestle and added above a 2 g Florisil column on a vacuum manifold. Then, 5 x 2 mL MeCN was used to elute the pesticide analytes from the sample into a collection tube, and the extract was concentrated to 0.5 mL by evaporation. Extracts in both methods were analyzed concurrently by gas chromatography/mass spectrometry and liquid chromatography/tandem mass spectrometry. The recoveries of semi-polar and polar pesticides were typically 100% in both methods (except that basic pesticides, such as thiabendazole and imazalil, were not recovered in the MSPD method), but recovery of nonpolar pesticides decreased as fat content of the sample increased. This trend was more pronounced in the QuEChERS method, in which case the most lipophilic analyte tested, hexachlorobenzene, gave 27 +/- 1% recovery (n=6) in avocado (15% fat) with a<10 ng/g limit of quantitation.

  3. Expression analysis of Matrix Metalloproteinase-9 in epithelialized and non-epithelialized apical periodontitis lesions

    Carneiro, Everdan; Menezes, Renato; Garlet, Gustavo Pompermaier; Garcia, Roberto Brandão; Bramante, Clóvis Monteiro; Figueira, Rita; Sogayar, Mari; Granjeiro, José Mauro


    OBJECTIVE To determine the expression of matrix metalloproteinase-9 (MMP-9) in apical periodontitis lesions. STUDY DESIGN Nineteen epithelialized and eighteen non-epithelialized apical periodontitis lesions were collected after periapical surgery. After histological processing, serial sectioning, H&E staining and microscopic analysis, 10 epithelialized and 10 non-epithelialized lesions were selected for immunohistochemical analysis for MMP-9 and CD 68. At least 1/3 of each specimen was frozen at −70°C for further mRNA isolation and reverse transcription into cDNA for Real-Time-PCR procedures. The relative expression of a target gene was determined in comparison with reference genes (GAPDH, HPRT, β-actin and BCRP). RESULTS Polymorphonuclear neutrophils, macrophages and lymphocytes were stained for MMP-9 in both types of lesions, and when present, epithelial cells were also stained. The number and the ratio of MMP-9+/total cells were greater in non-epithelialized than epithelialized lesions (p=0.0001) and showed a positive correlation to CD68+/total cells (p=0.045). No significant differences were observed for MMP-9 mRNA expression between ephithelized and non-ephithelized lesions. However, when compared to healthy periapical ligaments, both types of lesions presented increased MMP-9 expression (p<0.0001). CONCLUSION The present data suggest the participation of several inflammatory cells, mainlly CD68+ cells, in the MMP-9 expression in apical periodontitis lesions. MMP-9 could be actively enroled in the ECM degradation in apical periodontitis lesions. PMID:18926740

  4. Xenogeneic collagen matrix for periodontal plastic surgery procedures: a systematic review and meta-analysis.

    Atieh, M A; Alsabeeha, N; Tawse-Smith, A; Payne, A G T


    Several clinical trials describe the effectiveness of xenogeneic collagen matrix (XCM) as an alternative option to surgical mucogingival procedures for the treatment of marginal tissue recession and augmentation of insufficient zones of keratinized tissue (KT). The aim of this systematic review and meta-analysis was to evaluate the clinical and patient-centred outcomes of XCM compared to other mucogingival procedures. Applying guidelines of the Preferred Reporting Items for Systematic Reviews and Meta analyses statement, randomized controlled trials were searched for in electronic databases and complemented by hand searching. The risk of bias was assessed using the Cochrane Collaboration's Risk of Bias tool and data were analysed using statistical software. A total of 645 studies were identified, of which, six trials were included with 487 mucogingival defects in 170 participants. Overall meta-analysis showed that connective tissue graft (CTG) in conjunction with the coronally advanced flap (CAF) had a significantly higher percentage of complete/mean root coverage and mean recession reduction than XCM. Insufficient evidence was found to determine any significant differences in width of KT between XCM and CTG. The XCM had a significantly higher mean root coverage, recession reduction and gain in KT compared to CAF alone. No significant differences in patient's aesthetic satisfaction were found between XCM and CTG, except for postoperative morbidity in favour of XCM. Operating time was significantly reduced with the use of XCM compared with CTG but not with CAF alone. There is no evidence to demonstrate the effectiveness of XCM in achieving greater root coverage, recession reduction and gain in KT compared to CTG plus CAF. Superior short-term results in treating root coverage compared with CAF alone are possible. There is limited evidence that XCM may improve aesthetic satisfaction, reduce postoperative morbidity and shorten the operating time. Further long

  5. The South African wildlife ranching sector: A Social Accounting Matrix Leontief multiplier analysis

    Philippus C. Cloete


    Full Text Available Orientation: There is startlingly little economic research on the South African wildlife sector which contributes toward disputes regarding the economic contribution of the sector.Research purpose: The purpose of this article is to put into context the relative economic contribution of the wildlife ranching sector, as opposed to other land-use options in South Africa.Motivation for the study: Growth in the wildlife ranching sector at the cost of other traditional farming practices resulted in disagreements amongst various role players about the impact thereof on the national economy. The controversy can most probably be explained by different beliefs, coupled with the lack of a proper understanding and quantification of the wildlife ranching sector’s contribution toward the economy.Research methodology: The study employed a Social Accounting Matrix-based Leontief multiplier analysis for South Africa.Main findings: Results from the multiplier analysis revealed that developments within the wildlife ranching sector are likely to make a relatively more superior contribution towards the economy, especially when compared to similar land-use options such as extensive livestock production.Practical/managerial implications: It has been acknowledged by both academia and private sector that a major need exists for more research on the South African wildlife ranching industry, specifically looking at issues such as the industries, economic and social contributions, potentials and constraints. The research, therefore, contributes toward the depth of economic information and research regarding the South African wildlife sector.Contribution/value added: The research provides valuable information in dealing with the ‘popular belief’, especially amongst some of South Africa’s decision makers, namely, that growth in the wildlife ranching sector is not or does not have the ability to contribute significantly toward economic and socioeconomic factors.

  6. Rotordynamic analysis using the Complex Transfer Matrix: An application to elastomer supports using the viscoelastic correspondence principle

    Varney, Philip; Green, Itzhak


    Numerous methods are available to calculate rotordynamic whirl frequencies, including analytic methods, finite element analysis, and the transfer matrix method. The typical real-valued transfer matrix (RTM) suffers from several deficiencies, including lengthy computation times and the inability to distinguish forward and backward whirl. Though application of complex coordinates in rotordynamic analysis is not novel per se, specific advantages gained from using such coordinates in a transfer matrix analysis have yet to be elucidated. The present work employs a complex coordinate redefinition of the transfer matrix to obtain reduced forms of the elemental transfer matrices in inertial and rotating reference frames, including external stiffness and damping. Application of the complex-valued state variable redefinition results in a reduction of the 8×8 RTM to the 4×4 Complex Transfer Matrix (CTM). The CTM is advantageous in that it intrinsically separates forward and backward whirl, eases symbolic manipulation by halving the transfer matrices’ dimension, and provides significant improvement in computation time. A symbolic analysis is performed on a simple overhung rotor to demonstrate the mathematical motivation for whirl frequency separation. The CTM's utility is further shown by analyzing a rotordynamic system supported by viscoelastic elastomer rings. Viscoelastic elastomer ring supports can provide significant damping while reducing the cost and complexity associated with conventional components such as squeeze film dampers. The stiffness and damping of a viscoelastic damper ring are determined herein as a function of whirl frequency using the viscoelastic correspondence principle and a constitutive fractional calculus viscoelasticity model. The CTM is then employed to obtain the characteristic equation, where the whirl frequency dependent stiffness and damping of the elastomer supports are included. The Campbell diagram is shown, demonstrating the CTM

  7. Latent Variable Graphical Model Selection using Harmonic Analysis: Applications to the Human Connectome Project (HCP).

    Kim, Won Hwa; Kim, Hyunwoo J; Adluru, Nagesh; Singh, Vikas


    A major goal of imaging studies such as the (ongoing) Human Connectome Project (HCP) is to characterize the structural network map of the human brain and identify its associations with covariates such as genotype, risk factors, and so on that correspond to an individual. But the set of image derived measures and the set of covariates are both large, so we must first estimate a 'parsimonious' set of relations between the measurements. For instance, a Gaussian graphical model will show conditional independences between the random variables, which can then be used to setup specific downstream analyses. But most such data involve a large list of 'latent' variables that remain unobserved, yet affect the 'observed' variables sustantially. Accounting for such latent variables is not directly addressed by standard precision matrix estimation, and is tackled via highly specialized optimization methods. This paper offers a unique harmonic analysis view of this problem. By casting the estimation of the precision matrix in terms of a composition of low-frequency latent variables and high-frequency sparse terms, we show how the problem can be formulated using a new wavelet-type expansion in non-Euclidean spaces. Our formulation poses the estimation problem in the frequency space and shows how it can be solved by a simple sub-gradient scheme. We provide a set of scientific results on ~500 scans from the recently released HCP data where our algorithm recovers highly interpretable and sparse conditional dependencies between brain connectivity pathways and well-known covariates.

  8. Dynamic stiffness matrix development and free vibration analysis of a moving beam

    Banerjee, J. R.; Gunawardana, W. D.


    The dynamic stiffness matrix of a moving Bernoulli-Euler beam is developed and used to investigate its free flexural vibration characteristics. In order to develop the dynamic stiffness matrix, it is necessary to derive and solve the governing differential equation of motion of the moving beam in closed analytical form. The solution is then used to obtain the general expressions for both responses and loads. Boundary conditions are applied to determine the constants in the general solution, leading to the formation of the frequency dependent dynamic stiffness matrix of the moving beam, relating the amplitudes of the harmonically varying loads to those of the corresponding responses. The application of the resulting dynamic stiffness matrix using the Wittrick-Williams algorithm is demonstrated by some illustrative examples. Numerical results for both simply supported and fixed-fixed end conditions of the beam are discussed, and wherever possible, some are compared with those available in the literature.

  9. Matrix permeability of agriculture landscapes: an analysis of movements of the common frog (Rana temporaria)

    Vos, C.C.; Goedhart, P.W.; Lammertsma, D.R.; Spitzen-van der Sluijs, A.M.


    The implications of habitat fragmentation go beyond changes in the size and composition of suitable habitat patches. In fragmented landscapes, "matrix permeability" influences the dispersal of organisms, thereby affecting the persistence of populations in such landscapes. We investigated the effect

  10. Random Matrix Theory Analysis of Cross Correlations in Molecular Dynamics Simulations of Macro-Biomolecules

    Yamanaka, Masanori


    We apply the random matrix theory to analyze the molecular dynamics simulation of macromolecules, such as proteins. The eigensystem of the cross-correlation matrix for the time series of the atomic coordinates is analyzed. We study a data set with seven different sampling intervals to observe the characteristic motion at each time scale. In all cases, the unfolded eigenvalue spacings are in agreement with the predictions of random matrix theory. In the short-time scale, the cross-correlation matrix has the universal properties of the Gaussian orthogonal ensemble. The eigenvalue distribution and inverse participation ratio have a crossover behavior between the universal and nonuniversal classes, which is distinct from the known results such as the financial time series. Analyzing the inverse participation ratio, we extract the correlated cluster of atoms and decompose it to subclusters.

  11. Friction Stir Welding for Aluminum Metal Matrix Composites (MMC's) (Center Director's Discretionary Fund, Project No. 98-09)

    Lee, J. A.; Carter, R. W.; Ding, J.


    This technical memorandum describes an investigation of using friction stir welding (FSW) process for joining a variety of aluminum metal matrix composites (MMC's) reinforced with discontinuous silicon-carbide (SiC) particulate and functional gradient materials. Preliminary results show that FSW is feasible to weld aluminum MMC to MMC or to aluminum-lithium 2195 if the SiC reinforcement is <25 percent by volume fraction. However, a softening in the heat-affected zone was observed and is known to be one of the major limiting factors for joint strength. The pin tool's material is made from a low-cost steel tool H-13 material, and the pin tool's wear was excessive such that the pin tool length has to be manually adjusted for every 5 ft of weldment. Initially, boron-carbide coating was developed for pin tools, but it did not show a significant improvement in wear resistance. Basically, FSW is applicable mainly for butt joining of flat plates. Therefore, FSW of cylindrical articles such as a flange to a duct with practical diameters ranging from 2-5 in. must be fully demonstrated and compared with other proven MMC joining techniques for cylindrical articles.

  12. Development of a site analysis tool for distributed wind projects

    Shaw, Shawn [The Cadmus Group, Inc., Waltham MA (United States)


    The Cadmus Group, Inc., in collaboration with the National Renewable Energy Laboratory (NREL) and Encraft, was awarded a grant from the Department of Energy (DOE) to develop a site analysis tool for distributed wind technologies. As the principal investigator for this project, Mr. Shawn Shaw was responsible for overall project management, direction, and technical approach. The product resulting from this project is the Distributed Wind Site Analysis Tool (DSAT), a software tool for analyzing proposed sites for distributed wind technology (DWT) systems. This user-friendly tool supports the long-term growth and stability of the DWT market by providing reliable, realistic estimates of site and system energy output and feasibility. DSAT-which is accessible online and requires no purchase or download of software-is available in two account types; Standard: This free account allows the user to analyze a limited number of sites and to produce a system performance report for each; and Professional: For a small annual fee users can analyze an unlimited number of sites, produce system performance reports, and generate other customizable reports containing key information such as visual influence and wind resources. The tool’s interactive maps allow users to create site models that incorporate the obstructions and terrain types present. Users can generate site reports immediately after entering the requisite site information. Ideally, this tool also educates users regarding good site selection and effective evaluation practices.

  13. Applying Free Random Variables to Random Matrix Analysis of Financial Data

    Burda, Z; Jurkiewicz, J; Nowak, M A; Papp, G; Zahed, I


    We apply the concept of free random variables to correlated Wishart random matrix models. We give a comprehensive rederivation of various spectral densities for a number of financial covariance matrices involving stocks returns without and with exponentially weighted moving averages. We show through simple models how to identify the pertinent underlying correlations. We extend our results to Levy-Wishart random matrix models whereby the risk factors are heavy tailed.

  14. Solid-matrix luminescence analysis. Progress report, 15 June 1992--31 October 1994

    Hurtubise, R.J.


    Interaction models were developed for moisture effects on room-temperature fluorescence (RTF) and room-temperature phosphorescence (RTP) of compounds adsorbed on filter paper. The models described both dynamic and matrix quenching and also related the Young modulus of filter paper to quenching of phosphor on moist filter paper. Photophysical parameters for lumiphors in solution and on solid matrices were compared. Results showed that for some compounds, solid-matrix luminescence has greater analytical potential than solution luminescence. Also, the solid-matrix systems into one of two categories depending on how the intersystem crossing rate constants change with temperature. The first study was carried out on effects of heavy atom on solid-matrix luminescence. With some heavy atoms, maximum solid-matrix phosphorescence quantum yield was obtained at room temperature, and there was no need to use low temperature to obtain a strong phosphorescence signal. By studying solid-matrix luminescence properties of phosphors adsorbed on sodium acetate and deuterated sodium acetate, an interaction model was developed for p-aminobenzoic acid anion adsorbed on sodium acetate. It was shown that the energy-gap law was applicable to solid-matrix luminescence. Also, deuterated phenanthrene and undeuterated phenanthrene were used to study nonradiative transition of excited triplet state of adsorbed phosphors. Heat capacities of several solid matrices were obtained vs temperature and related to vibrational coupling of solid matrix with phosphor. Photophysical study was performed on the hydrolysis products of benzo(a)pyrene-DNA adducts. Also, an analytical method was developed for tetrols in human lung fractions. Work was initiated on the formation of room temperature glasses with glucose and trehalose. Also, work has begun for the development of an oxygen sensor by measuring the RTP quenching of triphenylene on filter paper.

  15. Analysis of Optical Fiber Complex Propagation Matrix on the Basis of Vortex Modes

    Lyubopytov, Vladimir S.; Tatarczak, Anna; Lu, Xiaofeng;


    We propose and experimentally demonstrate a novel method for reconstruction of the complex propagation matrix of optical fibers supporting propagation of multiple vortex modes. This method is based on the azimuthal decomposition approach and allows the complex matrix elements to be determined...... by direct calculations. We apply the proposed method to demonstrate the feasibility of optical compensation for coupling between vortex modes in optical fiber....

  16. Analysis of initial reactions of MALDI based on chemical properties of matrixes and excitation condition.

    Lai, Yin-Hung; Wang, Chia-Chen; Chen, Chiu Wen; Liu, Bo-Hong; Lin, Sheng Hsien; Lee, Yuan Tseh; Wang, Yi-Sheng


    This investigation concerns the initial chemical reactions that affect the ionization of matrixes in matrix-assisted laser desorption/ionization (MALDI). The study focuses on the relaxations of photon energy that occur on a comparable time scale to that of ionization, in which the available laser energy is shared and the ionization condition is changed. The relaxations include fluorescence, fragmentation, and nonradiative relaxation from the excited state to the ground state. With high absorption cross section and long excited-state lifetime, photoionization of matrix plays an important role if sufficient laser energy is used. Under other conditions, thermal ionization of the molecule in the ground state is predicted to be one of the important reactions. Evidence of change in the branching ratio of initial reactions with the matrix and the excitation wavelength was obtained with α-cyano-4-hydroxycinnamic acid, sinapinic acid, 2,5-dihydroxybenzoic acid, and 2,4,6-trihydroxyacetophenone. These matrixes are studied by obtaining their mixed crystal absorption spectra, fluorescence properties, laser-induced infrared emission, and product ions. The exact ionization pathway depends on the chemical properties of matrixes and the excitation conditions. This concept may explain the diversity of experimental results observed in MALDI experiments, which provides an insight into the ensemble of chemical reactions that govern the generation of ions.

  17. Results of the probabilistic volcanic hazard analysis project

    Youngs, R.; Coppersmith, K.J.; Perman, R.C. [Geomatrix Consultants, Inc., San Francisco, CA (United States)


    The Probabilistic Volcanic Hazard Analysis (PVHA) project, sponsored by the U.S. Department of Energy (DOE), has been conducted to assess the probability of a future volcanic event disrupting the potential repository at Yucca Mountain. The methodology for the PVHA project is summarized in Coppersmith and others (this volume). The judgments of ten earth scientists who were members of an expert panel were elicited to ensure that a wide range of approaches were considered. Each expert identified one or more approaches for assessing the hazard and they quantified their uncertainties in models and parameter values. Aggregated results are expressed as a probability distribution on the annual frequency of intersecting the proposed repository block. This paper presents some of the key results of the PVHA assessments. These results are preliminary; the final report for the study is planned to be submitted to DOE in April 1996.

  18. A bipotential-based limit analysis and homogenization of ductile porous materials with non-associated Drucker-Prager matrix

    Cheng, Long; Jia, Yun; Oueslati, Abdelbacet; de Saxcé, Géry; Kondo, Djimedo


    In Gurson's footsteps, different authors have proposed macroscopic plastic models for porous solid with pressure-sensitive dilatant matrix obeying the normality law (associated materials). The main objective of the present paper is to extend this class of models to porous materials in the context of non-associated plasticity. This is the case of Drucker-Prager matrix for which the dilatancy angle is different from the friction one, and classical limit analysis theory cannot be applied. For such materials, the second last author has proposed a relevant modeling approach based on the concept of bipotential, a function of both dual variables, the plastic strain rate and stress tensors. On this ground, after recalling the basic elements of the Drucker-Prager model, we present the corresponding variational principles and the extended limit analysis theorems. Then, we formulate a new variational approach for the homogenization of porous materials with a non-associated matrix. This is implemented by considering the hollow sphere model with a non-associated Drucker-Prager matrix. The proposed procedure delivers a closed-form expression of the macroscopic bifunctional from which the criterion and a non-associated flow rule are readily obtained for the porous material. It is shown that these general results recover several available models as particular cases. Finally, the established results are assessed and validated by comparing their predictions to those obtained from finite element computations carried out on a cell representing the considered class of materials.

  19. Pathological and prognostic significance of matrix metalloproteinase-2 expression in ovarian cancer: a meta-analysis.

    Liu, Chao


    Matrix metalloproteinase-2 (MMP-2) has been linked with tumor invasion and metastasis. However, the role of MMP-2 expression in ovarian cancer remains controversial. By searching the PubMed, Embase, Wanfang, and China National Knowledge Infrastructure databases, we conducted a meta-analysis to evaluate the pathological and prognostic significance of MMP-2 in ovarian cancer. Studies were pooled, and the odds ratio (OR) and its corresponding 95 % confidence interval (CI) were calculated. Version 11.0 STATA software was used for statistical analysis. Twenty-seven relevant articles were included for this meta-analysis study. The expression of MMP-2 in cancer tissue was significantly higher than that in benign or normal ovarian tissue [cancer vs. benign, OR 10.09 (95 % CI 6.95-14.64); P < 0.001; cancer vs. normal, OR 30.48 (95 % CI 17.19-54.05); P < 0.001; benign vs. normal, OR 1.88 (95 % CI 1.08-3.29); P = 0.025]. The expression of MMP-2 in stage III-IV or lymph node metastasis was significantly higher than that in stage I-II or that without metastasis, respectively [OR 5.83 (95 % CI 4.32-7.85); P < 0.001; OR 7.20 (95 % CI 4.75-10.91); P < 0.001]. MMP-2 was associated with histological types and grade of ovarian cancer [serous vs. mucinous, OR 1.67 (95 % CI 1.17-2.39); P = 0.004; grade 3 vs. 1, 2, OR 3.23 (95 % CI 2.29-4.55); P < 0.001]. However, the age of patients was not associated with MMP-2 expression [OR 1.25 (95 % CI 0.61-2.58); P = 0.546]. In conclusion, MMP-2 is related to the malignant degree, FIGO stage, histological types and grade, and lymph node metastasis of ovarian cancer. It may play a significant role in clinical guidelines for the treatment and prognostic evaluation.

  20. Analysis of X-ray Structures of Matrix Metalloproteinases via Chaotic Map Clustering

    Gargano Gianfranco


    Full Text Available Abstract Background Matrix metalloproteinases (MMPs are well-known biological targets implicated in tumour progression, homeostatic regulation, innate immunity, impaired delivery of pro-apoptotic ligands, and the release and cleavage of cell-surface receptors. With this in mind, the perception of the intimate relationships among diverse MMPs could be a solid basis for accelerated learning in designing new selective MMP inhibitors. In this regard, decrypting the latent molecular reasons in order to elucidate similarity among MMPs is a key challenge. Results We describe a pairwise variant of the non-parametric chaotic map clustering (CMC algorithm and its application to 104 X-ray MMP structures. In this analysis electrostatic potentials are computed and used as input for the CMC algorithm. It was shown that differences between proteins reflect genuine variation of their electrostatic potentials. In addition, the analysis has been also extended to analyze the protein primary structures and the molecular shapes of the MMP co-crystallised ligands. Conclusions The CMC algorithm was shown to be a valuable tool in knowledge acquisition and transfer from MMP structures. Based on the variation of electrostatic potentials, CMC was successful in analysing the MMP target family landscape and different subsites. The first investigation resulted in rational figure interpretation of both domain organization as well as of substrate specificity classifications. The second made it possible to distinguish the MMP classes, demonstrating the high specificity of the S1' pocket, to detect both the occurrence of punctual mutations of ionisable residues and different side-chain conformations that likely account for induced-fit phenomena. In addition, CMC demonstrated a potential comparable to the most popular UPGMA (Unweighted Pair Group Method with Arithmetic mean method that, at present, represents a standard clustering bioinformatics approach. Interestingly, CMC and

  1. Molecular docking analysis of selected Clinacanthus nutans constituents as xanthine oxidase, nitric oxide synthase, human neutrophil elastase, matrix metalloproteinase 2, matrix metalloproteinase 9 and squalene synthase inhibitors

    Radhakrishnan Narayanaswamy


    Full Text Available Background: Clinacanthus nutans (Burm. f. Lindau has gained popularity among Malaysians as a traditional plant for anti-inflammatory activity. Objective: This prompted us to carry out the present study on a selected 11 constituents of C. nutans which are clinacoside A–C, cycloclinacoside A1, shaftoside, vitexin, orientin, isovitexin, isoorientin, lupeol and β-sitosterol. Materials and Methods: Selected 11 constituents of C. nutans were evaluated on the docking behavior of xanthine oxidase (XO, nitric oxide synthase (NOS, human neutrophil elastase (HNE, matrix metalloproteinase (MMP 2 and 9, and squalene synthase (SQS using Discovery Studio Version 3.1. Also, molecular physicochemical, bioactivity, absorption, distribution, metabolism, excretion, and toxicity (ADMET, and toxicity prediction by computer assisted technology analyzes were also carried out. Results: The molecular physicochemical analysis revealed that four ligands, namely clinacoside A–C and cycloclinacoside A1 showed nil violations and complied with Lipinski's rule of five. As for the analysis of bioactivity, all the 11 selected constituents of C. nutans exhibited active score (>0 toward enzyme inhibitors descriptor. ADMET analysis showed that the ligands except orientin and isoorientin were predicted to have Cytochrome P4502D6 inhibition effect. Docking studies and binding free energy calculations revealed that clinacoside B exhibited the least binding energy for the target enzymes except for XO and SQS. Isovitexin and isoorientin showed the potentials in the docking and binding with all of the six targeted enzymes, whereas vitexin and orientin docked and bound with only NOS and HNE. Conclusion: This present study has paved a new insight in understanding these 11 C. nutans ligands as potential inhibitors against XO, NOS, HNE, MMP 2, MMP 9, and SQS.

  2. Sampling and Analysis Plan - Waste Treatment Plant Seismic Boreholes Project

    Reidel, Steve P.


    This sampling and analysis plan (SAP) describes planned data collection activities for four entry boreholes through the sediment overlying the basalt, up to three new deep rotary boreholes through the basalt and sedimentary interbeds, and one corehole through the basalt and sedimentary interbeds at the Waste Treatment Plant (WTP) site. The SAP will be used in concert with the quality assurance plan for the project to guide the procedure development and data collection activities needed to support borehole drilling, geophysical measurements, and sampling. This SAP identifies the American Society of Testing Materials standards, Hanford Site procedures, and other guidance to be followed for data collection activities.

  3. Project X: competitive intelligence data mining and analysis

    Gilmore, John F.; Pagels, Michael A.; Palk, Justin


    Competitive Intelligence (CI) is a systematic and ethical program for gathering and analyzing information about your competitors' activities and general business trends to further your own company's goals. CI allows companies to gather extensive information on their competitors and to analyze what the competition is doing in order to maintain or gain a competitive edge. In commercial business this potentially translates into millions of dollars in annual savings or losses. The Internet provides an overwhelming portal of information for CI analysis. The problem is how a company can automate the translation of voluminous information into valuable and actionable knowledge. This paper describes Project X, an agent-based data mining system specifically developed for extracting and analyzing competitive information from the Internet. Project X gathers CI information from a variety of sources including online newspapers, corporate websites, industry sector reporting sites, speech archiving sites, video news casts, stock news sites, weather sites, and rumor sites. It uses individual industry specific (e.g., pharmaceutical, financial, aerospace, etc.) commercial sector ontologies to form the knowledge filtering and discovery structures/content required to filter and identify valuable competitive knowledge. Project X is described in detail and an example competitive intelligence case is shown demonstrating the system's performance and utility for business intelligence.

  4. How local is the information in tensor networks of matrix product states or projected entangled pairs states

    Anshu, Anurag; Arad, Itai; Jain, Aditya


    Two-dimensional tensor networks such as projected entangled pairs states (PEPS) are generally hard to contract. This is arguably the main reason why variational tensor network methods in two dimensions are still not as successful as in one dimension. However, this is not necessarily the case if the tensor network represents a gapped ground state of a local Hamiltonian; such states are subject to many constraints and contain much more structure. In this paper, we introduce an approach for approximating the expectation value of a local observable in ground states of local Hamiltonians that are represented by PEPS tensor networks. Instead of contracting the full tensor network, we try to estimate the expectation value using only a local patch of the tensor network around the observable. Surprisingly, we demonstrate that this is often easier to do when the system is frustrated. In such case, the spanning vectors of the local patch are subject to nontrivial constraints that can be utilized via a semidefinite program to calculate rigorous lower and upper bounds on the expectation value. We test our approach in one-dimensional systems, where we show how the expectation value can be calculated up to at least 3 or 4 digits of precision, even when the patch radius is smaller than the correlation length.

  5. FEBEX II Project Post-mortem analysis EDZ assessment

    Bazargan Sabet, B.; Shao, H.; Autio, J.; Elorza, F. J.


    Within the framework of the FEBEX II project a multidisciplinary team studied the mechanisms of creation of the potential damaged zone around the test drift. The research program includes laboratory and in situ investigations as well as the numerical modelling of the observed phenomena. Where laboratory investigations are concerned, the 14C-PMMA technique was applied to study the spatial distribution of porosity in the samples taken from the test drift wall. In addition complementary microscopy and scanning electron microscopy (SEM) studies were performed to make qualitative investigations on the pore apertures and minerals in porous regions. The results obtained with the PMMA method have not shown any clear increased porosity zone adjacent to the tunnel wall. The total porosity of the samples varied between 0.6-1.2%. The samples of unplugged region did not differ from the samples of plugged region. A clear increase in porosity to depths of 10-15 mm from the tunnel wall was detected in lamprophyre samples. According to the SEM/EDX analyses the excavation-disturbed zone in the granite matrix extended to depths of 1-3 mm from the wall surface. A few quartz grains were crushed and some micro fractures were found. Gas permeability tests were carried out on two hollow cylinder samples of about 1m long each taken on the granite wall perpendicular to the drift axis. The first sample was cored in the service area far from the heated zone and the second one at the level of the heater. The tests were performed at constant gas pressure by setting a steady state radial flow through a section of 1cm wide isolated by means of four mini-packers. The profile of the gas permeability according to the core length has been established. The results obtained for both considered samples have shown permeability ranging between 3.5 10-18 and 8.4 10-19m2, pointing out the absence of a marked damage. Acoustic investigations have been carried out with the objective of quantifying the

  6. Quantitative micro-Raman analysis of volcanic glasses: influence and correction of matrix effects

    Di Muro, Andrea


    Micro-Raman spectroscopy, even though a very promising micro-analytical technique, is still not used to routinely quantify volatile elements dissolved in glasses. Following an original idea of Galeener and Mikkelsen (1981) for the quantification of hydroxyl (OH) in silica glass, several quantitative procedures have been recently proposed for the analysis of water, sulphur and carbon in natural glasses (obsidians, pumices, melt inclusions). The quantification of a single analyte requires the calibration of the correlation between the intensity I (height or area) of the related Raman band, normalized or not to a reference band RB, and the analyte concentration. For the analysis of alumino-silicate glasses, RB corresponds to one of the two main envelopes (LF and HF) related to the vibration of the glass network. Calibrations are linear, provided the increase in the analyte concentration does not dramatically affect RB intensity. Much attention has been paid to identify the most appropriate spectral treatment (spectra reduction; baseline subtraction; etc) to achieve accurate measurement of band intensities. I here show that the accuracy of Raman procedures for volatile quantification critically depends on the capability in predicting and in taking into account the influence of multiple matrix effects, which are often correlated with the average polymerization degree of the glass network. A general model has been developed to predict matrix effects affecting micro-Raman analysis of natural glasses. The specific and critical influence of iron redox state and pressure are discussed. The approach has been extensively validated for the study of melt inclusions and matrices spanning a broad range of compositions and dissolved volatile contents. References Analytical procedures Mercier, M, Di Muro, A., Métrich, N., Giordano, D., Belhadj, O., Mandeville, C.W. (2010) Spectroscopic analysis (FTIR, Raman) of water in mafic and intermediate glasses and glass inclusions

  7. Hydrogen Safety Project chemical analysis support task: Window C'' volatile organic analysis

    Gillespie, B.M.; Stromatt, R.W.; Ross, G.A.; Hoope, E.A.


    This data package contains the results obtained by Pacific Northwest Laboratory (PNL) staff in the characterization of samples for the 101-SY Hydrogen Safety Project. The samples were submitted for analysis by Westinghouse Hanford Company (WHC) under the Technical Project Plan (TPP) 17667 and the Quality Assurance Plan MCS-027. They came from a core taken during Window C'' after the May 1991 gas release event. The analytical procedures required for analysis were defined in the Test Instructions (TI) prepared by the PNL 101-SY Analytical Chemistry Laboratory (ACL) Project Management Office in accordance with the TPP and the QA Plan. The requested analysis for these samples was volatile organic analysis. The quality control (QC) requirements for each sample are defined in the Test Instructions for each sample. The QC requirements outlined in the procedures and requested in the WHC statement of work were followed.

  8. Hydrogen Safety Project chemical analysis support task: Window ``C`` volatile organic analysis

    Gillespie, B.M.; Stromatt, R.W.; Ross, G.A.; Hoope, E.A.


    This data package contains the results obtained by Pacific Northwest Laboratory (PNL) staff in the characterization of samples for the 101-SY Hydrogen Safety Project. The samples were submitted for analysis by Westinghouse Hanford Company (WHC) under the Technical Project Plan (TPP) 17667 and the Quality Assurance Plan MCS-027. They came from a core taken during Window ``C`` after the May 1991 gas release event. The analytical procedures required for analysis were defined in the Test Instructions (TI) prepared by the PNL 101-SY Analytical Chemistry Laboratory (ACL) Project Management Office in accordance with the TPP and the QA Plan. The requested analysis for these samples was volatile organic analysis. The quality control (QC) requirements for each sample are defined in the Test Instructions for each sample. The QC requirements outlined in the procedures and requested in the WHC statement of work were followed.

  9. Combined dynamic stiffness matrix and precise time integration method for transient forced vibration response analysis of beams

    Tang, Bin


    A method has been developed for determining the transient response of a beam. The beam is divided into several continuous Timoshenko beam elements. The overall dynamic stiffness matrix is assembled in turn. Using Leung's equation, we derive the overall mass and stiffness matrices which are more suitable for response analysis than the overall dynamic stiffness matrix. The forced vibration of the beam is computed by the precise time integration method. Three illustrative beams are discussed to evaluate the performance of the current method. Solutions calculated by the finite element method and theoretical analysis are also enumerated for comparison. In these examples, we have found that the current method can solve the forced vibration of structures with a higher precision.

  10. Analysis of the hull girder vibration by dynamic stiffness matrix method

    ZHOU Ping; ZHAO De-you


    Dynamic stiffness matrix method is applied to compute vibration of hull girder in this paper.This method can not only simplify the computational model, but also get much higher frequencies and responses accurately. The analytical expressions of dynamic stiffness matrix of a Timoshenko beam for transverse vibration are presented in this paper. All effects of rotatory inertia and shear deformation are taken into account in the formulation. The resulting dynamic stiffness matrix combined with the Wittrick-Williams algorithm is used to compute natural frequencies and mode shapes of the 299,500 DWT VLCC, and then the vibrational responses are solved by the mode superposition method. The computational results are compared with those obtained from other approximate methods and experiment,and it indicates that the method is accurate and efficient.

  11. Quantization of electromagnetic field and analysis of Purcell effect based on formalism of scattering matrix

    Kaliteevski, M. A.; Gubaydullin, A. R.; Ivanov, K. A.; Mazlin, V. A.


    We have developed a rigorous self-consistent approach for the quantization of electromagnetic field in inhomogeneous structures. The approach is based on utilization of the scattering matrix of the system. Instead of the use of standard periodic Born-Karman boundary conditions, we use the quantization condition implying equating eigenvalues of the scattering matrix (S-matrix) of the system to unity (S-quantization). In the trivial case of uniform medium boundary condition for S-quantization is nothing but periodic boundary condition. S-quantization allows calculating modification of the spontaneous emission rate for arbitrary inhomogeneous structure and direction of the emitted radiation. S-quantization solves the long-standing problem coupled to normalization of the quasi-stationary electromagnetic modes. Examples of application of S-quantization for the calculation of spontaneous emission rate for the cases of Bragg reflector and microcavity are demonstrated.

  12. Mobility and equilibrium stability analysis of pin-jointed mechanisms with equilibrium matrix SVD

    LU Jin-yu; LUO Yao-zhi; LI Na


    Under certain load pattern, the geometrically indeterminate pin-jointed mechanisms will present certain shapes to keep static equalization. This paper proposes a matrix-based method to determine the mobility and equilibrium stability of mechanisms according to the effects of the external loads. The first and second variations of the potential energy function of mechanisms under conservative force field are analyzed. Based on the singular value decomposition (SVD) method, a new criterion for the mobility and equilibrium stability of mechanisms can be concluded by analyzing the equilibrium matrix. The mobility and stability of mechanisms can be classified by unified matrix formulae. A number of examples are given to demonstrate the proposed criterion. In the end, criteria are summarized in a table.

  13. Analysis of the Lepton Mixing Matrix in the Two Higgs Doublet Model

    Barradas-Guevara, E; Gonzalez-Canales, F; Rodríguez-Jáuregui, E; Zeleny-Mora, M


    In the theoretical framework of Two Higgs Doublet Model (2HDM) plus three right-handed neutrinos we consider a universal treatment for the mass matrices, aside from that the active neutrinos acquire their small mass through the type-I seesaw mechanism. Then, as long as a matrix with four-zero texture is used to represent the right-handed neutrinos and Yukawa matrices, we obtain a unified treatment where all fermion mass matrices have four-zero texture. We obtain analytical and explicit expressions for the lepton flavour mixing matrix PMNS in terms of fermion masses and parameters associated with the 2HDM-III. Further, we compare these expressions of the PMNS matrix with the most up to date values of masses and mixing in the lepton sector, via a likelihood test $\\chi^{2}$. We find that the analytical expressions that we derived reproduce remarkably well the most recent experimental data of neutrino oscillations.

  14. Damage analysis for particle reinforced metal matrix composite by ultrasonic method

    YANG Zhi-guo; LONG Shi-guo


    The damage characteristic of particle reinforced metal matrix composite (PMMC) was studied by ultrasonic non-destructive evaluation method. After the sample was damaged induced by tensile load,the ultrasonic wave that propagated in the sample were collected. The damage parameter was defined by ultrasonic parameter and the wave signals were analyzed by correlation method. The results show that with the increase of tensile load,the damage parameter increases and the correlation coefficient decreases. The fracture section morphologies of PMMC under tensile load were observed by SEM. It is found that there are many concaves in the metal matrix. Therefore the damage evolution can be concluded. The initial damage is induced by void nucleation,growth and subsequent coalescence in the matrix or interface separation.

  15. Analysis of metal-matrix composite structures. I - Micromechanics constitutive theory. II - Laminate analyses

    Arenburg, R. T.; Reddy, J. N.


    The micromechanical constitutive theory is used to examine the nonlinear behavior of continuous-fiber-reinforced metal-matrix composite structures. Effective lamina constitutive relations based on the Abouli micromechanics theory are presented. The inelastic matrix behavior is modeled by the unified viscoplasticity theory of Bodner and Partom. The laminate constitutive relations are incorporated into a first-order deformation plate theory. The resulting boundary value problem is solved by utilizing the finite element method. Attention is also given to computational aspects of the numerical solution, including the temporal integration of the inelastic strains and the spatial integration of bending moments. Numerical results the nonlinear response of metal matrix composites subjected to extensional and bending loads are presented.

  16. Matrix measure based dissipativity analysis for inertial delayed uncertain neural networks.

    Tu, Zhengwen; Cao, Jinde; Hayat, Tasawar


    The present paper is devoted to investigating the global dissipativity for inertial neural networks with time-varying delays and parameter uncertainties. By virtue of a suitable substitution, the original system is transformed to the first order differential system. By means of matrix measure, generalized Halanay inequality, and matrix-norm inequality, several sufficient criteria for the global dissipativity of the addressed neural networks are proposed. Meanwhile, the specific estimations of positive invariant sets and globally attractive sets are obtained. Finally, two examples are provided to validate our theoretical results.

  17. Discrete Time Mean-variance Analysis with Singular Second Moment Matrixes and an Exogenous Liability

    Wen Cai CHEN; Zhong Xing YE


    We apply the dynamic programming methods to compute the analytical solution of the dynamic mean-variance optimization problem a.ected by an exogenous liability in a multi-periods market model with singular second moment matrixes of the return vector of assets. We use orthogonal transformations to overcome the difficulty produced by those singular matrixes, and the analytical form of the e.cient frontier is obtained. As an application, the explicit form of the optimal mean-variance hedging strategy is also obtained for our model.

  18. Jones matrix analysis for a polarization-sensitive optical coherence tomography system using fiber-optic components

    Park, B. H.; Pierce, M. C.; Cense, B.; De Boer, MR


    We present an analysis for polarization-sensitive optical coherence tomography that facilitates the unrestricted use of fiber and fiber-optic components throughout an interferometer and yields sample birefringence, diattenuation, and relative optic axis orientation. We use a novel Jones matrix approach that compares the polarization states of light reflected from the sample surface with those reflected from within a biological sample for pairs of depth scans. The incident polarization alterna...

  19. The construction project manager in South Africa: Analysis of ...

    Industry-specific guidelines for construction project management (PMBOK and ... was essential for effective leadership, trust and communication within a project. ... factors were compromised and project success could be negatively affected.

  20. New matrix method for response analysis of circumferentially stiffened non-circular cylindrical shells under harmonic pressure


    Based on the governing equation of vibration of a kind of cylindrical shells written in a matrix differential equation of the first order, a new matrix method is presented for steady-state vibration analysis of a noncircular cylindrical shell simply supported at two ends and circumferentially stiffened by rings under harmonic pressure. Its difference from the existing works by Yamada and Irie is that the matrix differential equation is solved by using the extended homogeneous capacity precision integration approach other than the Runge-Kutta-Gill integration method. The transfer matrix can easily be determined by a high precision integration scheme. In addition, besides the normal interacting forces, which were commonly adopted by researchers earlier, the tangential interacting forces between the cylindrical shell and the rings are considered at the same time by means of the Dirac-δ function. The effects of the exciting frequencies on displacements and stresses responses have been investigated. Numerical results show that the proposed method is more efficient than the aforementioned method.

  1. The Dynamic Response of an Euler-Bernoulli Beam on an Elastic Foundation by Finite Element Analysis using the Exact Stiffness Matrix

    Kim, Jeong Soo; Kyum Kim, Moon


    In this study, finite element analysis of beam on elastic foundation, which received great attention of researchers due to its wide applications in engineering, is performed for estimating dynamic responses of shallow foundation using exact stiffness matrix. First, element stiffness matrix based on the closed solution of beam on elastic foundation is derived. Then, we performed static finite element analysis included exact stiffness matrix numerically, comparing results from the analysis with some exact analysis solutions well known for verification. Finally, dynamic finite element analysis is performed for a shallow foundation structure under rectangular pulse loading using trapezoidal method. The dynamic analysis results exist in the reasonable range comparing solution of single degree of freedom problem under a similar condition. The results show that finite element analysis using exact stiffness matrix is evaluated as a good tool of estimating the dynamic response of structures on elastic foundation.

  2. Development of a rapid matrix digestion technique for ultrastructural analysis of elastic fibers in the intervertebral disc.

    Tavakoli, Javad; Costi, John J


    Collagen and elastic fibers are two major fibrous constituents of the annulus fibrosus (AF) in the disc that contribute to its mechanical and viscoelastic properties. It was thought that elastic fibers play no substantial role in the function and properties of the disc as these fibers were irregularly distributed. Studies that have revealed highly organized elastic fibers with different regional orientation and distribution, while being strongly crosslinked with matrix, suggesting their contribution to disc structure-function properties. These studies that were performed by light microscopic analysis of histologically prepared samples, have not been able to reveal the fine-scale architectural details of the elastic fiber network. Since elastic fibers are intermingled with other fibrous components of the disc and mostly obscured by the extracellular matrix, it is difficult to demonstrate their ultra-structural organization using scanning electron microscopy (SEM). Therefore the aim of this study was to develop a rapid matrix digestion technique for ultrastructural analysis of the disc elastic fibers. This study provides a new method for fundamental visualization of elastic fibers and their architecture in the disc. Through the ultra-structural analysis, the relationship between structure and function, as well as the role of elastic fibers on AF mechanical properties can be studied. This method may be used to develop a three-dimensional map of elastic fibers distribution within the disc, which would provide valuable information for designing tissue engineered scaffolds for AF repair and replacement. Copyright © 2017 Elsevier Ltd. All rights reserved.

  3. Changes in chemical composition of bone matrix in ovariectomized (OVX) rats detected by Raman spectroscopy and multivariate analysis

    Oshima, Yusuke; Iimura, Tadahiro; Saitou, Takashi; Imamura, Takeshi


    Osteoporosis is a major bone disease that connotes the risk of fragility fractures resulting from alterations to bone quantity and/or quality to mechanical competence. Bone strength arises from both bone quantity and quality. Assessment of bone quality and bone quantity is important for prediction of fracture risk. In spite of the two factors contribute to maintain the bone strength, only one factor, bone mineral density is used to determine the bone strength in the current diagnosis of osteoporosis. On the other hand, there is no practical method to measure chemical composition of bone tissue including hydroxyapatite and collagen non-invasively. Raman spectroscopy is a powerful technique to analyze chemical composition and material properties of bone matrix non-invasively. Here we demonstrated Raman spectroscopic analysis of the bone matrix in osteoporosis model rat. Ovariectomized (OVX) rat was made and the decalcified sections of tibias were analyzed by a Raman microscope. In the results, Raman bands of typical collagen appeared in the obtained spectra. Although the typical mineral bands at 960 cm-1 (Phosphate) was absent due to decalcified processing, we found that Raman peak intensities of amide I and C-C stretching bands were significantly different between OVX and sham-operated specimens. These differences on the Raman spectra were statistically compared by multivariate analyses, principal component analysis (PCA) and liner discrimination analysis (LDA). Our analyses suggest that amide I and C-C stretching bands can be related to stability of bone matrix which reflects bone quality.

  4. Multidimensional Projections for Visual Analysis of Social Networks

    Rafael Messias Martins; Gabriel Faria Andery; Henry Heberle; Fernando Vieira Paulovich; Alneu de Andrade Lopes; Helio Pedrini; Rosane Minghim


    Visual analysis of social networks is usually based on graph drawing algorithms and tools.However,social networks are a special kind of graph in the sense that interpretation of displayed relationships is heavily dependent on context.Context,in its turn,is given by attributes associated with graph elements,such as individual nodes,edges,and groups of edges,as well as by the nature of the connections between individuals.In most systems,attributes of individuals and communities are not taken into consideration during graph layout,except to derive weights for force-based placement strategies.This paper proposes a set of novel tools for displaying and exploring social networks based on attribute and connectivity mappings.These properties are employed to layout nodes on the plane via multidimensional projection techniques.For the attribute mapping,we show that node proximity in the layout corresponds to similarity in attribute,leading to easiness in locating similar groups of nodes.The projection based on connectivity yields an initial placement that forgoes force-based or graph analysis algorithm,reaching a meaningful layout in one pass.When a force algorithm is then applied to this initial mapping,the final layout presents better properties than conventional force-based approaches.Numerical evaluations show a number of advantages of pre-mapping points via projections.User evaluation demonstrates that these tools promote ease of manipulation as well as fast identification of concepts and associations which cannot be easily expressed by conventional graph visualization alone.In order to allow better space usage for complex networks,a graph mapping on the surface of a sphere is also implemented.

  5. Sparse Regression by Projection and Sparse Discriminant Analysis

    Qi, Xin


    © 2015, © American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America. Recent years have seen active developments of various penalized regression methods, such as LASSO and elastic net, to analyze high-dimensional data. In these approaches, the direction and length of the regression coefficients are determined simultaneously. Due to the introduction of penalties, the length of the estimates can be far from being optimal for accurate predictions. We introduce a new framework, regression by projection, and its sparse version to analyze high-dimensional data. The unique nature of this framework is that the directions of the regression coefficients are inferred first, and the lengths and the tuning parameters are determined by a cross-validation procedure to achieve the largest prediction accuracy. We provide a theoretical result for simultaneous model selection consistency and parameter estimation consistency of our method in high dimension. This new framework is then generalized such that it can be applied to principal components analysis, partial least squares, and canonical correlation analysis. We also adapt this framework for discriminant analysis. Compared with the existing methods, where there is relatively little control of the dependency among the sparse components, our method can control the relationships among the components. We present efficient algorithms and related theory for solving the sparse regression by projection problem. Based on extensive simulations and real data analysis, we demonstrate that our method achieves good predictive performance and variable selection in the regression setting, and the ability to control relationships between the sparse components leads to more accurate classification. In supplementary materials available online, the details of the algorithms and theoretical proofs, and R codes for all simulation studies are provided.

  6. Analysis of dietary interventions. A simple payoff matrix for display of comparative dietary trials

    Fine Eugene J


    Full Text Available Abstract Objective To provide a simple method for presentation of data in comparative dietary trials. Methods Individual data from each diet are ranked and all possible paired comparisons are made and displayed in a pay-off matrix which can be color-coded according to the magnitude of the differences between the two diets. Probability of outcome can be calculated from the fraction of matrix elements corresponding to specified conditions. The method has the advantage of emphasizing differences and providing the maximum amount of information. Results The method was tested with values from the literature and allows intuitive sense of the comparative effectiveness of the two diets. In a test case in which a cross-over study had been performed the matrix derived from theoretical paired comparisons (treating the data as two parallel studies was consistent with the results from the actual pairing in the cross-over. Conclusion The matrix method is a simple way of providing access to the differences between dietary trials. It exaggerates differences but can be used in combination with group statistics that, conversely, provide reliability at the expense of detailed information.

  7. Assessment Stability and Informative of Diagnostic Matrix in Analysis States of Reinforced Concrete Slab

    Sokolov Vladimir


    Full Text Available In this article was examined the issues of sustainability and informative of diagnostic matrix, which are used when it is necessary to determinate the technical condition of constructions. Determination based on the mathematical instrument of technical diagnostics. One of the most widespread methods of technical diagnostics – a statistical method of Bayes is used.


    LIU Bin; YUE Dequan; CAO Jinhua; WANG Huanqiu


    In this paper we consider a two-machine CONWIP system. Firstly, we mathematically model the system as a QBD process. By using the matrix geometric solution technique, we obtain the equilibrium conditions of the system. Next, we derive the stationary probability distribution of the process. Finally, we give some important performance measures of the system.

  9. Growth and inequality in India : analysis of an extended social accounting matrix

    Pieters, Janneke

    Based on an extended Social Accounting Matrix (SAM) for 2002-03. this study shows how sectoral growth in India affects Inequality A breakdown of the wage,account into three educational levels and 10 sectors of employment improves the link between sectoral expansion and household income in the SAM

  10. A two-channel R-matrix analysis of magnetic field induced Feshbach resonances

    Nygaard, Nicolai; Schneider, B. I.; Julienne, P. S.


    such an effective Feshbach model can be constructed from knowledge of a few key parameters, characterizing the atomic Born-Oppenheimer potentials and the low energy scattering near the resonance. These parameters may be obtained either from experiment or full coupled channels calculations. Using R-matrix theory we...

  11. Development of a hybrid wave based-transfer matrix model for sound transmission analysis.

    Dijckmans, A; Vermeir, G


    In this paper, a hybrid wave based-transfer matrix model is presented that allows for the investigation of the sound transmission through finite multilayered structures placed between two reverberant rooms. The multilayered structure may consist of an arbitrary configuration of fluid, elastic, or poro-elastic layers. The field variables (structural displacements and sound pressures) are expanded in terms of structural and acoustic wave functions. The boundary and continuity conditions in the rooms determine the participation factors in the pressure expansions. The displacement of the multilayered structure is determined by the mechanical impedance matrix, which gives a relation between the pressures and transverse displacements at both sides of the structure. The elements of this matrix are calculated with the transfer matrix method. First, the hybrid model is numerically validated. Next a comparison is made with sound transmission loss measurements of a hollow brick wall and a sandwich panel. Finally, numerical simulations show the influence of structural damping, room dimensions and plate dimensions on the sound transmission loss of multilayered structures.

  12. Finite element analysis of stress transfer mechanism from matrix to the fiber in SWCN reinforced nanocomposites

    Günay, E.


    This study defined as micromechanical finite element (FE) approach examining the stress transfer mechanism in single-walled carbon nanotube (SWCN) reinforced composites. In the modeling, 3D unit-cell method was evaluated. Carbon nanotube reinforced composites were modeled as three layers which comprises CNT, interface and matrix material. Firstly; matrix, fiber and interfacial materials all together considered as three layered cylindrical nanocomposite. Secondly, the cylindrical matrix material was assumed to be isotropic and also considered as a continuous medium. Then, fiber material was represented with zigzag type SWCNs. Finally, SWCN was combined with the elastic medium by using springs with different constants. In the FE modeling of SWCN reinforced composite model springs were modeled by using ANSYS spring damper element COMBIN14. The developed interfacial van der Waals interaction effects between the continuous matrix layer and the carbon nanotube fiber layer were simulated by applying these various spring stiffness values. In this study, the layered composite cylindrical FE model was presented as the equivalent mechanical properties of SWCN structures in terms of Young's modulus. The obtained results and literature values were presented and discussed. Figures, 16, 17, and 18 of the original article PDF file, as supplied to AIP Publishing, were affected by a PDF-processing error. Consequently, a solid diamond symbol appeared instead of a Greek tau on the y axis labels for these three figures. This article was updated on 17 March 2017 to correct the PDF-processing error, with the scientific content remaining unchanged.

  13. Growth and inequality in India : analysis of an extended social accounting matrix

    Pieters, Janneke


    Based on an extended Social Accounting Matrix (SAM) for 2002-03. this study shows how sectoral growth in India affects Inequality A breakdown of the wage,account into three educational levels and 10 sectors of employment improves the link between sectoral expansion and household income in the SAM Th

  14. Analysis of Natural Graphite, Synthetic Graphite, and Thermosetting Resin Candidates for Use in Fuel Compact Matrix

    Trammell, Michael P [ORNL; Pappano, Peter J [ORNL


    The AGR-1 and AGR-2 compacting process involved overcoating TRISO particles and compacting them in a steel die. The overcoating step is the process of applying matrix to the OPyC layer of TRISO particles in a rotating drum in order to build up an overcoat layer of desired thickness. The matrix used in overcoating is a mixture of natural graphite, synthetic graphite, and thermosetting resin in the ratio, by weight, of 64:16:20. A wet mixing process was used for AGR-1 and AGR-2, in that the graphites and resin were mixed in the presence of ethyl alcohol. The goal of the wet mixing process was to 'resinate' the graphite particles, or coat each individual graphite particle with a thin layer of resin. This matrix production process was similar to the German, Chinese, Japanese, and South African methods, which also use various amount of solvent during mixing. See Appendix 1 for information on these countries matrix production techniques. The resin used for AGR-1 and AGR-2 was provided by Hexion, specifically Hexion grade Durite SC1008. Durite SC1008 is a solvated (liquid) resole phenolic resin. A resole resin does not typically have a hardening agent added. The major constituent of SC1008 is phenol, with minor amounts of formaldehyde. Durite SC1008 is high viscosity, so additional ethyl alcohol was added during matrix production in order to reduce its viscosity and enhance graphite particle resination. The current compacting scale up plan departs from a wet mixing process. The matrix production method specified in the scale up plan is a co-grinding jet mill process where powdered phenolic resin and graphite are all fed into a jet mill at the same time. Because of the change in matrix production style, SC1008 cannot be used in the jet milling process because it is a liquid. The jet milling/mixing process requires that a suite of solid or powdered resins be investigated. The synthetic graphite used in AGR-1 and AGR-2 was provided by SGL Carbon, grade KRB2000. KRB

  15. Drug release-modulating mechanism of hydrophilic hydroxypropylmethylcellulose matrix tablets: distribution of atoms and carrier and texture analysis.

    Park, Jun-Bom; Lim, Jisung; Kang, Chin-Yang; Lee, Beom-Jin


    Although release profiles of drug from hydrophilic matrices have been well recognized, the visual distribution of hydroxypropylmethylcellulose (HPMC) and atoms inside of internal structures of hydrophilic HPMC matrices has not been characterized. In this paper, drug release mechanism from HPMC matrix tablet was investigated based on the release behaviors of HPMC, physical properties of gelled HPMC tablet and atomic distributions of formulation components using diverse instruments. A matrix tablet consisting of hydroxypropyl methylcellulose (HPMC 6, 4,000 and 100,000 mPa·s), chlorpheniramine maleate (CPM) as a model and fumed silicon dioxide (Aerosil(®) 200) was prepared via direct compression. The distribution of atoms and HPMC imaging were characterized using scanning electron microscope (SEM)/ energy-dispersive X-ray spectroscopy (EDX), and near-infrared (NIR) analysis, respectively as a function of time. A texture analyzer was also used to characterize the thickness and maintenance of gel layer of HPMC matrix tablet. The HPMC matrix tablets showed Higuchi release kinetics with no lag time against the square root of time. High viscosity grades of HPMC gave retarded release rate because of the greater swelling and gel thickness as characterized by texture analyzer. According to the NIR imaging, low-viscosity-grade HPMC (6 mPa·s) quickly leached out onto the surface of the tablet, while the high-viscosity-grade HPMC (4000 mPa·s) formed much thicker gel layer around the tablet and maintained longer via slow erosion, resulting in retarded drug release. The atomic distribution of the drug (chlorine, carbon, oxygen), HPMC (carbon, oxygen) and silicon dioxide (silica, oxygen) and NIR imaging of HPMC corresponded with the dissolution behaviors of drug as a function of time. The use of imaging and texture analyses could be applicable to explain the release- modulating mechanism of hydrophilic HPMC matrix tablets.

  16. Matrixed business support comparison study.

    Parsons, Josh D.


    The Matrixed Business Support Comparison Study reviewed the current matrixed Chief Financial Officer (CFO) division staff models at Sandia National Laboratories. There were two primary drivers of this analysis: (1) the increasing number of financial staff matrixed to mission customers and (2) the desire to further understand the matrix process and the opportunities and challenges it creates.

  17. Authenticity assessment of beef origin by principal component analysis of matrix-assisted laser desorption/ionization mass spectrometric data.

    Zaima, Nobuhiro; Goto-Inoue, Naoko; Hayasaka, Takahiro; Enomoto, Hirofumi; Setou, Mitsutoshi


    It has become necessary to assess the authenticity of beef origin because of concerns regarding human health hazards. In this study, we used a metabolomic approach involving matrix-assisted laser desorption/ionization imaging mass spectrometry to assess the authenticity of beef origin. Highly accurate data were obtained for samples of extracted lipids from beef of different origin; the samples were grouped according to their origin. The analysis of extracted lipids in this study ended within 10 min, suggesting this approach can be used as a simple authenticity assessment before a definitive identification by isotope analysis.

  18. N-(1-Naphthyl) Ethylenediamine Dinitrate: A New Matrix for Negative Ion MALDI-TOF MS Analysis of Small Molecules

    Chen, Rui; Chen, Suming; Xiong, Caiqiao; Ding, Xunlei; Wu, Chih-Che; Chang, Huan-Cheng; Xiong, Shaoxiang; Nie, Zongxiu


    An organic salt, N-(1-naphthyl) ethylenediamine dinitrate (NEDN), with rationally designed properties of a strong UV absorbing chromophore, hydrogen binding and nitrate anion donors, has been employed as a matrix to analyze small molecules ( m/z interfering with MS analysis. For low-molecular-weight saccharides, the lowest detection limit achieved ranges from 500 amol to 5 pmol, depending on the molecular weight and the structure of the analytes. Additionally, the mass spectra in the lower mass range ( m/z analysis of small molecules with nitrate anion attachment.

  19. Solid waste integrated cost analysis model: 1991 project year report


    The purpose of the City of Houston's 1991 Solid Waste Integrated Cost Analysis Model (SWICAM) project was to continue the development of a computerized cost analysis model. This model is to provide solid waste managers with tool to evaluate the dollar cost of real or hypothetical solid waste management choices. Those choices have become complicated by the implementation of Subtitle D of the Resources Conservation and Recovery Act (RCRA) and the EPA's Integrated Approach to managing municipal solid waste;. that is, minimize generation, maximize recycling, reduce volume (incinerate), and then bury (landfill) only the remainder. Implementation of an integrated solid waste management system involving all or some of the options of recycling, waste to energy, composting, and landfilling is extremely complicated. Factors such as hauling distances, markets, and prices for recyclable, costs and benefits of transfer stations, and material recovery facilities must all be considered. A jurisdiction must determine the cost impacts of implementing a number of various possibilities for managing, handling, processing, and disposing of waste. SWICAM employs a single Lotus 123 spreadsheet to enable a jurisdiction to predict or assess the costs of its waste management system. It allows the user to select his own process flow for waste material and to manipulate the model to include as few or as many options as he or she chooses. The model will calculate the estimated cost for those choices selected. The user can then change the model to include or exclude waste stream components, until the mix of choices suits the user. Graphs can be produced as a visual communication aid in presenting the results of the cost analysis. SWICAM also allows future cost projections to be made.

  20. New technologies for DNA analysis – a review of the READNA Project

    McGinn, Steven; Bauer, David; Brefort, Thomas; Dong, Liqin; El-Sagheer, Afaf; Elsharawy, Abdou; Evans, Geraint; Falk-Sörqvist, Elin; Forster, Michael; Fredriksson, Simon; Freeman, Peter; Freitag, Camilla; Fritzsche, Joachim; Gibson, Spencer; Gullberg, Mats; Gut, Marta; Heath, Simon; Heath-Brun, Isabelle; Heron, Andrew J.; Hohlbein, Johannes; Ke, Rongqin; Lancaster, Owen; Reste, Le Ludovic; Maglia, Giovanni; Marie, Rodolphe; Mauger, Florence; Mertes, Florian; Mignardi, Marco; Moens, Lotte; Oostmeijer, Jelle; Out, Ruud; Pedersen, Jonas Nyvold; Persson, Fredrik; Picaud, Vincent; Rotem, Dvir; Schracke, Nadine; Sengenes, Jennifer; Stähler, Peer F.; Stade, Björn; Stoddart, David; Teng, Xia; Veal, Colin D.; Zahra, Nathalie; Bayley, Hagan; Beier, Markus; Brown, Tom; Dekker, Cees; Ekström, Björn; Flyvbjerg, Henrik; Franke, Andre; Guenther, Simone; Kapanidis, Achillefs N.; Kaye, Jane; Kristensen, Anders; Lehrach, Hans; Mangion, Jonathan; Sauer, Sascha; Schyns, Emile; Tost, Jörg; Helvoort, van Joop M.L.M.; Zaag, van der Pieter J.; Tegenfeldt, Jonas O.; Brookes, Anthony J.; Mir, Kalim; Nilsson, Mats; Willcocks, James P.; Gut, Ivo G.


    The REvolutionary Approaches and Devices for Nucleic Acid analysis (READNA) project received funding from the European Commission for 4 1/2 years. The objectives of the project revolved around technological developments in nucleic acid analysis. The project partners have discovered, created and deve

  1. New Technologies for DNA analysis-A review of the READNA Project

    McGinn, Steven; Bauer, David; Brefort, Thomas; Dong, Liqin; El-Sagheer, Afaf; Elsharawy, Abdou; Evans, Geraint; Falk-Sörqvist, Elin; Forster, Michael; Fredriksson, Simon; Freeman, Peter; Freitag, Camilla; Fritzsche, Joachim; Gibson, Spencer; Gullberg, Mats; Gut, Marta; Heath, Simon; Heath-Brun, Isabelle; Heron, Andrew J; Hohlbein, Johannes; Ke, Rongqin; Lancaster, Owen; Le Reste, Ludovic; Maglia, Giovanni; Marie, Rodolphe; Mauger, Florence; Mertes, Florian; Mignardi, Marco; Moens, Lotte; Oostmeijer, Jelle; Out, Ruud; Pedersen, Jonas Nyvold; Persson, Fredrik; Picaud, Vincent; Rotem, Dvir; Schracke, Nadine; Sengenes, Jennifer; Stähler, Peer F; Stade, Björn; Stoddart, David; Teng, Xia; Veal, Colin D; Zahra, Nathalie; Bayley, Hagan; Beier, Markus; Brown, Tom; Dekker, Cees; Ekström, Björn; Flyvbjerg, Henrik; Franke, Andre; Guenther, Simone; Kapanidis, Achillefs N; Kaye, Jane; Kristensen, Anders; Lehrach, Hans; Mangion, Jonathan; Sauer, Sascha; Schyns, Emile; Tost, Jörg; van Helvoort, Joop M L M; van der Zaag, Pieter J; Tegenfeldt, Jonas O; Brookes, Anthony J; Mir, Kalim; Nilsson, Mats; Willcocks, Spike; Gut, Ivo G


    The REvolutionary Approaches and Devices for Nucleic Acid analysis (READNA) project received funding from the European Commission for 4 1/2 years. The objectives of the project revolved around technological developments in nucleic acid analysis. The project partners have discovered, created and deve




  3. New Technologies for DNA analysis-A review of the READNA Project

    McGinn, Steven; Bauer, David; Brefort, Thomas; Dong, Liqin; El-Sagheer, Afaf; Elsharawy, Abdou; Evans, Geraint; Falk-Sörqvist, Elin; Forster, Michael; Fredriksson, Simon; Freeman, Peter; Freitag, Camilla; Fritzsche, Joachim; Gibson, Spencer; Gullberg, Mats; Gut, Marta; Heath, Simon; Heath-Brun, Isabelle; Heron, Andrew J; Hohlbein, Johannes; Ke, Rongqin; Lancaster, Owen; Le Reste, Ludovic; Maglia, Giovanni; Marie, Rodolphe; Mauger, Florence; Mertes, Florian; Mignardi, Marco; Moens, Lotte; Oostmeijer, Jelle; Out, Ruud; Pedersen, Jonas Nyvold; Persson, Fredrik; Picaud, Vincent; Rotem, Dvir; Schracke, Nadine; Sengenes, Jennifer; Stähler, Peer F; Stade, Björn; Stoddart, David; Teng, Xia; Veal, Colin D; Zahra, Nathalie; Bayley, Hagan; Beier, Markus; Brown, Tom; Dekker, Cees; Ekström, Björn; Flyvbjerg, Henrik; Franke, Andre; Guenther, Simone; Kapanidis, Achillefs N; Kaye, Jane; Kristensen, Anders; Lehrach, Hans; Mangion, Jonathan; Sauer, Sascha; Schyns, Emile; Tost, Jörg; van Helvoort, Joop M L M; van der Zaag, Pieter J; Tegenfeldt, Jonas O; Brookes, Anthony J; Mir, Kalim; Nilsson, Mats; Willcocks, Spike; Gut, Ivo G


    The REvolutionary Approaches and Devices for Nucleic Acid analysis (READNA) project received funding from the European Commission for 4 1/2 years. The objectives of the project revolved around technological developments in nucleic acid analysis. The project partners have discovered, created and deve

  4. New technologies for DNA analysis – a review of the READNA Project

    McGinn, Steven; Bauer, David; Brefort, Thomas; Dong, Liqin; El-Sagheer, Afaf; Elsharawy, Abdou; Evans, Geraint; Falk-Sörqvist, Elin; Forster, Michael; Fredriksson, Simon; Freeman, Peter; Freitag, Camilla; Fritzsche, Joachim; Gibson, Spencer; Gullberg, Mats; Gut, Marta; Heath, Simon; Heath-Brun, Isabelle; Heron, Andrew J.; Hohlbein, Johannes; Ke, Rongqin; Lancaster, Owen; Reste, Le Ludovic; Maglia, Giovanni; Marie, Rodolphe; Mauger, Florence; Mertes, Florian; Mignardi, Marco; Moens, Lotte; Oostmeijer, Jelle; Out, Ruud; Pedersen, Jonas Nyvold; Persson, Fredrik; Picaud, Vincent; Rotem, Dvir; Schracke, Nadine; Sengenes, Jennifer; Stähler, Peer F.; Stade, Björn; Stoddart, David; Teng, Xia; Veal, Colin D.; Zahra, Nathalie; Bayley, Hagan; Beier, Markus; Brown, Tom; Dekker, Cees; Ekström, Björn; Flyvbjerg, Henrik; Franke, Andre; Guenther, Simone; Kapanidis, Achillefs N.; Kaye, Jane; Kristensen, Anders; Lehrach, Hans; Mangion, Jonathan; Sauer, Sascha; Schyns, Emile; Tost, Jörg; Helvoort, van Joop M.L.M.; Zaag, van der Pieter J.; Tegenfeldt, Jonas O.; Brookes, Anthony J.; Mir, Kalim; Nilsson, Mats; Willcocks, James P.; Gut, Ivo G.


    The REvolutionary Approaches and Devices for Nucleic Acid analysis (READNA) project received funding from the European Commission for 4 1/2 years. The objectives of the project revolved around technological developments in nucleic acid analysis. The project partners have discovered, created and deve

  5. Shotgun proteomics and network analysis between plasma membrane and extracellular matrix proteins from rat olfactory ensheathing cells.

    Liu, Yisong; Teng, Xiaohua; Yang, Xiaoxu; Song, Qing; Lu, Rong; Xiong, Jixian; Liu, Bo; Zeng, Nianju; Zeng, Yu; Long, Jia; Cao, Rui; Lin, Yong; He, Quanze; Chen, Ping; Lu, Ming; Liang, Songping


    Olfactory ensheathing cells (OECs) are a special type of glial cells that have characteristics of both astrocytes and Schwann cells. Evidence suggests that the regenerative capacity of OECs is induced by soluble, secreted factors that influence their microenvironment. These factors may regulate OECs self-renewal and/or induce their capacity to augment spinal cord regeneration. Profiling of plasma membrane and extracellular matrix through a high-throughput expression proteomics approach was undertaken to identify plasma membrane and extracellular matrix proteins of OECs under serum-free conditions. 1D-shotgun proteomics followed with gene ontology (GO) analysis was used to screen proteins from primary culture rat OECs. Four hundred and seventy nonredundant plasma membrane proteins and 168 extracellular matrix proteins were identified, the majority of which were never before reported to be produced by OECs. Furthermore, plasma membrane and extracellular proteins were classified based on their protein-protein interaction predicted by STRING quantitatively integrates interaction data. The proteomic profiling of the OECs plasma membrane proteins and their connection with the secretome in serum-free culture conditions provides new insights into the nature of their in vivo microenvironmental niche. Proteomic analysis for the discovery of clinical biomarkers of OECs mechanism warrants further study.

  6. Free Vibration Analysis of Circular Cylindrical Shells with Arbitrary Boundary Conditions by the Method of Reverberation-Ray Matrix

    Dong Tang


    Full Text Available An analytical procedure for free vibration analysis of circular cylindrical shells with arbitrary boundary conditions is developed with the employment of the method of reverberation-ray matrix. Based on the Flügge thin shell theory, the equations of motion are solved and exact solutions of the traveling wave form along the axial direction and the standing wave form along the circumferential direction are obtained. With such a unidirectional traveling wave form solution, the method of reverberation-ray matrix is introduced to derive a unified and compact form of equation for natural frequencies of circular cylindrical shells with arbitrary boundary conditions. The exact frequency parameters obtained in this paper are validated by comparing with those given by other researchers. The effects of the elastic restraints on the frequency parameters are examined in detail and some novel and useful conclusions are achieved.

  7. Hanford isotope project strategic business analysis yttrium-90 (Y-90)



    The purpose of this analysis is to address the short-term direction for the Hanford yttrium-90 (Y-90) project. Hanford is the sole DOE producer of Y-90, and is the largest repository for its source in this country. The production of Y-90 is part of the DOE Isotope Production and Distribution (IP and D) mission. The Y-90 is ``milked`` from strontium-90 (Sr-90), a byproduct of the previous Hanford missions. The use of Sr-90 to produce Y-90 could help reduce the amount of waste material processed and the related costs incurred by the clean-up mission, while providing medical and economic benefits. The cost of producing Y-90 is being subsidized by DOE-IP and D due to its use for research, and resultant low production level. It is possible that the sales of Y-90 could produce full cost recovery within two to three years, at two curies per week. Preliminary projections place the demand at between 20,000 and 50,000 curies per year within the next ten years, assuming FDA approval of one or more of the current therapies now in clinical trials. This level of production would incentivize private firms to commercialize the operation, and allow the government to recover some of its sunk costs. There are a number of potential barriers to the success of the Y-90 project, outside the control of the Hanford Site. The key issues include: efficacy, Food and Drug Administration (FDA) approval and medical community acceptance. There are at least three other sources for Y-90 available to the US users, but they appear to have limited resources to produce the isotope. Several companies have communicated interest in entering into agreements with Hanford for the processing and distribution of Y-90, including some of the major pharmaceutical firms in this country.

  8. Analysis of Island Land Use Change Based on Transfer Matrix'a Case Study of Dongtou Island in Zhejiang Province

    Wang, Liang; Tao, Kunwang; Qian, Xinlin


    With the increasing developments of islands, the protection and management of island's natural resources are imperative. The core of islands' protection and management is to acquire the information of changes of the land use and land cover. What's more, the purpose of the islands' land use change information analysis is to plan the effective protection of land resource, achieve scientific management and sustainable utilization. Based on the improved calculation method of land use change and the computational model of change rate of the land use, an analysis of land use transfer matrix and transfer probability matrix is presented, and the method of land use change analysis based on the transfer matrix is proposed in this paper. And then the comparative analysis of all types of land use transfer is introduced. Taken the island of Dongtou in Zhejiang Province as the case, with the SPOT-5 satellite image in 2005 and the aerial image in 2011 as the data source, the current situation of land utilization of Dongtou Island and its land use change are analyzed. The experiment results show that, from 2005 to 2011, the greatest changes are the structures and water, followed by the forest land, grassland, cultivated land and others. The major change of structure and forest is the net change, while the major change of the water and grassland is the swap change. From the perspective of increment, the conversion from waters to structure has the most advantage, followed by water converted to grassland and road. To see from the loss, structures converted into roads and buildings have the most superiority transformation, followed by structures converted to grassland. The analysis of the case proves that the proposed process and method in this paper could achieve better results in the practical application. The experiment results also demonstrate that the proposed method could effectively obtain the dynamic change information of land use which is much helpful for land management and

  9. Initial guidance on digraph-matrix analysis for systems interaction studies at selected LWR's

    Alesso, H.P.; Sacks, I.J.; Smith, C.F.


    The Nuclear Regulatory Commission (NRC) is currently developing guidance to search for and evaluate systems interactions at light water reactors (LWRs). In addition, related efforts are being made to incorporate such analyses into the framework of Probabilistic Risk Assessment (PRA). Preliminary results indicate that there are at least three concepts on how systems interactions can be analyzed independently or incorporated into an overall PRA. One point of view is that systems interactions can be adequately analyzed by enhancing existing PRAs. A second and closely related point of view is that systems interactions can be incorporated into a PRA in the event-tree stage of analysis. This approach attempts to capture systems interactions at an earlier stage of analysis. By treating dependencies in the event tree analysis portion of a PRA, the requirement of fault tree modeling at additional levels of detail is reduced. A third point of view about the Systems Interaction problem is that a new technique, called Digraph-Matrix Analysis (DMA), which utilizes matrix representation of logic diagrams, may offer a more complete and possibly more efficient analysis in certain areas. This report will present proposed initial guidance on DMA for application to systems interactions. DMA will be presented as a procedure independent from PRA. Peer review and later sample applications can provide useful feedback for refining the final guidance.

  10. Direct analysis of textile fabrics and dyes using infrared matrix-assisted laser desorption electrospray ionization mass spectrometry.

    Cochran, Kristin H; Barry, Jeremy A; Muddiman, David C; Hinks, David


    The forensic analysis of textile fibers uses a variety of techniques from microscopy to spectroscopy. One such technique that is often used to identify the dye(s) within the fiber is mass spectrometry (MS). In the traditional MS method, the dye must be extracted from the fabric and the dye components are separated by chromatography prior to mass spectrometric analysis. Direct analysis of the dye from the fabric allows the omission of the lengthy sample preparation involved in extraction, thereby significantly reducing the overall analysis time. Herein, a direct analysis of dyed textile fabric was performed using the infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) source for MS. In MALDESI, an IR laser with wavelength tuned to 2.94 μm is used to desorb the dye from the fabric sample with the aid of water as the matrix. The desorbed dye molecules are then postionized by electrospray ionization (ESI). A variety of dye classes were analyzed from various fabrics with little to no sample preparation allowing for the identification of the dye mass and in some cases the fiber polymer. Those dyes that were not detected using MALDESI were also not observed by direct infusion ESI of the dye standard.

  11. Effect of temperature gradients on single-strand conformation polymorphism analysis in a capillary electrophoresis system using Pluronic polymer matrix.

    Hwang, Hee Sung; Shin, Gi Won; Park, Han Jin; Ryu, Chang Y; Jung, Gyoo Yeol


    Capillary electrophoresis-single strand conformation polymorphism (CE-SSCP) analysis is a prominent bioseparation method based on the mobility diversity caused by sequence-induced conformational differences of single-stranded DNA. The use of Pluronic polymer matrix has opened up new opportunities for CE-SSCP, because it improved the resolution for various genetic analyses. However, there still exists a challenge in optimizing Pluronic-based CE-SSCP, because the physical properties of Pluronic solutions are sensitive to temperature, particularly near the gelation temperature, where the viscoelasticity of Pluronic F108 solutions sharply changes from that of a Newtonian fluid to a hydrogel upon heating. We have focused on a set of experiments to control the ambient temperature of the CE system with the aim of enhancing the reliability of the CE-SSCP analysis by using the Applied Biosystems ABI 3130xl genetic analyzer with Pluronic F108 solution matrix. The ambient temperature control allowed us to vary the inlet and outlet portion of the capillary column, while the temperature of the column was kept at 35°C. The resolution to separate 2 single-base-pair-differing DNA fragments was significantly enhanced by changing the temperature from 19 to 30°C. The viscoelastic properties of the F108 solution matrix upon heating were also investigated by ex situ rheological experiments with an effort to reveal how the development of gels in Pluronic solutions affects the resolution of CE-SSCP. We found that the column inlet and outlet temperatures of the capillary column have to be controlled to optimize the resolution in CE-SSCP by using the Pluronic matrix.

  12. In-package P/G planes analysis and optimization based on transmission matrix method

    Yin-jun WANG; Cheng ZHUO; Jun-yong DENG; Jin-fang ZHOU; Kang-sheng CHEN


    Power integrity (PI) has become a limiting factor for the chip's overall performance, and how to place in-package decoupling capacitors to improve a chip's PI performance has become a hot issue. In this paper, we propose an improved transmission matrix method (TMM) for fast decoupling capacitance allocation. An irregular grid partition mechanism is proposed, which helps speed up the impedance computation and complies better with the irregular power/ground (P/G) plane or planes with many vias and decoupling capacitors. Furthermore, we also ameliorate the computation procedure of the impedance matrix whenever decoupling capacitors are inserted or removed at specific ports. With the fast computation of impedance change, in-package decoupling capacitor allocation is done with an efficient change based method in the frequency domain. Experimental results show that our approach can gain about 5× speedup compared with a general TMM, and is efficient in restraining the noise on the P/G plane.

  13. {ital S}-matrix analysis of heavy-ion elastic scattering

    Chiste, V.; Lichtenthaeler, R.; Villari, A.C.; Gomes, L.C. [Departamento de Fisica Nuclear, Laboratorio do Pelletron, Instituto de Fisica, Universidade de Sao Paulo, Caixa Postal 66318, 05389-970 - Sao Paulo, SP, (Brasil)


    A procedure to minimize {chi}{sup 2} is described which explores the fact that the {chi}{sup 2} distribution is of the fourth degree in the {ital S}-matrix elements. The fact that all three roots of the scale parameter for the minimum of {chi}{sup 2} in its gradient direction are algebraically determined gives the present procedure some global features that previous methods did not contemplate. The automatic search procedure also preserves the unitary bound constraint of the {ital S}-matrix at every step. When the search in the gradient direction slows down, the procedure reverts to the traditional quadratic approximation with zero-order regularization. The method is applied to the elastic scattering of the {sup 12}C+{sup 16}O reaction near the Coulomb barrier. {copyright} {ital 1996 The American Physical Society.}

  14. Rotor Bearing System Analysis Using the Transfer Matrix Method with Thickness Assumption of Disk and Bearing

    Ghasemalizadeh, Omid; Sadeghi, Hossein; Ahmadian, Mohammad Taghi


    One of the methods to find the natural frequencies of rotating systems is the application of the transfer matrix method. In this method the rotor is modeled as several elements along the shaft which have their own mass and moment of inertia. Using these elements, the entire continuous system is discretized and the corresponding differential equation can be stated in matrix form. The bearings at the end of the shaft are modeled as equivalent spring and dampers which are applied as boundary conditions to the discretized system. In this paper the dynamics of a rotor-bearing system is analyzed, considering the gyroscopic effect. The thickness of the disk and bearings is also taken into account. Continuous model is used for shaft. Results Show that, the stiffness of the shaft and the natural frequencies of the system increase, while the amplitude of vibration decreases as a consequence of increasing the thickness of the bearing.

  15. Cinematographic analysis of vascular smooth muscle cell interactions with extracellular matrix.

    Absher, M; Baldor, L


    The interactions of vascular smooth muscle cells with growth modulators and extracellular matrix molecules may play a role in the proliferation and migration of these cells after vascular injury and during the development of atherosclerosis. Time-lapse cinematographic techniques have been used to study cell division and migration of bovine carotid artery smooth muscle cells in response to matrix molecules consisting of solubilized basement membrane (Matrigel) and type I collagen. When cells were grown adjacent to Matrigel, both migration and cell proliferation were increased and interdivision time was shortened. Cells grown in Matrigel or in type I collagen had markedly reduced migration rates but interdivision time was not altered. Further, diffusible components of the Matrigel were found to stimulate proliferation of the smooth muscle cells.

  16. Analysis of Stochastic Space Frame with Elementary Stiffness Matrix Decomposition Method

    Er, G. K.; Lan, S. W.; Iu, V. P.


    The Elementary Stiffness Matrix Decomposition (ESMD) method is employed to analyze the stochastic space frames and further show its efficiency in analyzing stochastic space frames with comparison to the computational efficiency of perturbation method. The mean values and variances of structural responses are obtained with both ESMD method and perturbation method. Numerical results show that the relative computational effort and computer memory needed by ESMD method can be greatly reduced compared to that needed by perturbation method.

  17. A transfer matrix method for the analysis of fractal quantum potentials

    Monsoriu, Juan A [Departamento de Fisica Aplicada, Universidad Politecnica de Valencia, E-46022 Valencia (Spain); Villatoro, Francisco R [Departamento de Lenguajes y Ciencias de la Computacion, Universidad de Malaga, E-29071 Malaga (Spain); Marin, Maria J [Departamento de Termodinamica, Universitat de Valencia, E-46100 Burjassot (Spain); UrchueguIa, Javier F [Departamento de Fisica Aplicada, Universidad Politecnica de Valencia, E-46022 Valencia (Spain); Cordoba, Pedro Fernandez de [Departamento de Matematica Aplicada, Universidad Politecnica de Valencia, E-46022 Valencia (Spain)


    The scattering properties of quantum particles on a sequence of potentials converging towards a fractal one are obtained by means of the transfer matrix method. The reflection coefficients for both the fractal potential and finite periodic potential are calculated and compared. It is shown that the reflection coefficient for the fractal potential has a self-similar structure associated with the fractal distribution of the potential whose degree of self-similarity has been quantified by means of the correlation function.

  18. Analysis of airplane boarding via space-time geometry and random matrix theory

    Bachmat, E; Skiena, S S; Stolyarov, N; Berend, D; Bachmat, Eitan; Sapir, Luba; Skiena, Steven; Stolyarov, Natan; berend, Daniel


    We show that airplane boarding can be asymptotically modeled by 2-dimensional Lorentzian geometry. Boarding time is given by the maximal proper time among curves in the model. Discrepancies between the model and simulation results are closely related to random matrix theory. We then show how such models can be used to explain why some commonly practiced airline boarding policies are ineffective and even detrimental.

  19. Analysis of aeroplane boarding via spacetime geometry and random matrix theory

    Bachmat, E [Department of Computer Science, Ben-Gurion University, Beer-Sheva 84105 (Israel); Berend, D [Department of Computer Science, Ben-Gurion University, Beer-Sheva 84105 (Israel); Sapir, L [Department of Management and Industrial Engineering, Ben-Gurion University, Beer-Sheva 84105 (Israel); Skiena, S [Department of Computer science, SUNY at Stony Brook, Stony Brook, NY 11794 (United States); Stolyarov, N [Department of Computer Science, Ben-Gurion University, Beer-Sheva 84105 (Israel)


    We show that aeroplane boarding can be asymptotically modelled by two-dimensional Lorentzian geometry. Boarding time is given by the maximal proper time among curves in the model. Discrepancies between the model and simulation results are closely related to random matrix theory. The models can be used to explain why some commonly practiced airline boarding policies are ineffective and even detrimental. (letter to the editor)

  20. Software project profitability analysis using temporal probabilistic reasoning; an empirical study with the CASSE framework

    Balikuddembe, JK


    Full Text Available Undertaking adequate risk management by understanding project requirements and ensuring that viable estimates are made on software projects require extensive application and sophisticated techniques of analysis and interpretation. Informative...

  1. GLobal Ocean Data Analysis Project (GLODAP) version 1.1 (NODC Accession 0001644)

    National Oceanic and Atmospheric Administration, Department of Commerce — The GLobal Ocean Data Analysis Project (GLODAP) is a cooperative effort to coordinate global synthesis projects funded through NOAA/DOE and NSF as part of the Joint...




    The aim of the paper is to discover the general creep mechanisms for the short fiber reinforcement matrix composites (MMCs) under uniaxial stress states and to build a relationship between the macroscopic steady creep behavior and the material micro geometric parameters. The unit cell models were used to calculate the macroscopic creep behavior with different micro geometric parameters of fibers on different loading directions. The influence of the geometric parameters of the fibers and loading directions on the macroscopic creep behavior had been obtained, and described quantitatively. The matrix/fiber interface had been considered by a third layer, matrix/fiber interlayer, in the unit cells with different creep properties and thickness. Based on the numerical results of the unit cell models, a statistic model had been presented for the plane randomly-distributed-fiber MMCs. The fiber breakage had been taken into account in the statistic model for it starts experimentally early in the creep life. With the distribution of the geometric parameters of the fibers, the results of the statistic model agree well with the experiments. With the statistic model, the influence of the geometric parameters and the breakage of the fibers as well as the properties and thickness of the interlayer on the macroscopic steady creep rate have been discussed.

  3. Matrix theory

    Franklin, Joel N


    Mathematically rigorous introduction covers vector and matrix norms, the condition-number of a matrix, positive and irreducible matrices, much more. Only elementary algebra and calculus required. Includes problem-solving exercises. 1968 edition.

  4. NGNP Project Regulatory Gap Analysis for Modular HTGRs

    Wayne Moe


    The Next Generation Nuclear Plant (NGNP) Project Regulatory Gap Analysis (RGA) for High Temperature Gas-Cooled Reactors (HTGR) was conducted to evaluate existing regulatory requirements and guidance against the design characteristics specific to a generic modular HTGR. This final report presents results and identifies regulatory gaps concerning current Nuclear Regulatory Commission (NRC) licensing requirements that apply to the modular HTGR design concept. This report contains appendices that highlight important HTGR licensing issues that were found during the RGA study. The information contained in this report will be used to further efforts in reconciling HTGR-related gaps in the NRC licensing structure, which has to date largely focused on light water reactor technology.

  5. Hydraulic analysis and optimization design in Guri rehabilitation project

    Cheng, H.; Zhou, L. J.; Gong, L.; Wang, Z. N.; Wen, Q.; Zhao, Y. Z.; Wang, Y. L.


    Recently Dongfang was awarded the contract for rehabilitation of 6 units in Guri power plant, the biggest hydro power project in Venezuela. The rehabilitation includes, but not limited to, the extension of output capacity by about 50% and enhancement of efficiency level. To achieve the targets the runner and the guide vanes will be replaced by the newly optimized designs. In addition, the out-of-date stay vanes with straight plate shape will be modified into proper profiles after considering the application feasibility in field. The runner and vane profiles were optimized by using state-of-the-art flow simulation techniques. And the hydraulic performances were confirmed by the following model tests. This paper describes the flow analysis during the optimization procedure and the comparison between various technical concepts.

  6. Projection-Based Reduced Order Modeling for Spacecraft Thermal Analysis

    Qian, Jing; Wang, Yi; Song, Hongjun; Pant, Kapil; Peabody, Hume; Ku, Jentung; Butler, Charles D.


    This paper presents a mathematically rigorous, subspace projection-based reduced order modeling (ROM) methodology and an integrated framework to automatically generate reduced order models for spacecraft thermal analysis. Two key steps in the reduced order modeling procedure are described: (1) the acquisition of a full-scale spacecraft model in the ordinary differential equation (ODE) and differential algebraic equation (DAE) form to resolve its dynamic thermal behavior; and (2) the ROM to markedly reduce the dimension of the full-scale model. Specifically, proper orthogonal decomposition (POD) in conjunction with discrete empirical interpolation method (DEIM) and trajectory piece-wise linear (TPWL) methods are developed to address the strong nonlinear thermal effects due to coupled conductive and radiative heat transfer in the spacecraft environment. Case studies using NASA-relevant satellite models are undertaken to verify the capability and to assess the computational performance of the ROM technique in terms of speed-up and error relative to the full-scale model. ROM exhibits excellent agreement in spatiotemporal thermal profiles (<0.5% relative error in pertinent time scales) along with salient computational acceleration (up to two orders of magnitude speed-up) over the full-scale analysis. These findings establish the feasibility of ROM to perform rational and computationally affordable thermal analysis, develop reliable thermal control strategies for spacecraft, and greatly reduce the development cycle times and costs.

  7. Novel Optimization Method for Projection Matrix in Compress Sensing Theory%一种用于压缩感知理论的投影矩阵优化算法

    吴光文; 张爱军; 王昌明


    Considering the influence of the projection matrix on Compressed Censing (CS), a novel method is proposed to optimize the projection matrix. In order to improve the signal’s reconstruction precise and the stability of the optimization algorithm of the projection matrix, the proposed method adopts a differentiable threshold function to shrink the off-diagonal items of a Gram matrix corresponding to the mutual coherence between the projection matrix and sparse dictionary, and introduces a gradient descent approach based on the Wolf’s-conditions to solve the optimization projection matrix. The Basis-Pursuit (BP) algorithm and the Orthogonal Matching Pursuit (OMP) algorithm are applied to find the solution of the minimum l0-norm optimization issue and the compressed sensing are utilized to sense and reconstruct the random vectors, wavelet’s noise test signals and pictures. The results of the simulation show the proposed method based on the projection matrix optimization is able to improve the quality of the reconstruction performance.%考虑到投影矩阵对压缩感知(CS)算法性能的影响,该文提出一种优化投影矩阵的算法。该方法提出可导的阈值函数,通过收缩 Gram 矩阵非对角元的方法压缩投影矩阵和稀疏字典的相关系数,引入基于沃尔夫条件(Wolfe’s conditions)的梯度下降法求解最佳投影矩阵,达到提高投影矩阵优化算法稳定度和重构信号精度的目的。通过基追踪(BP)算法和正交匹配追踪(OMP)算法求解l0优化问题,用压缩感知方法实现随机稀疏向量、小波测试信号和图像信号的感知和重构。仿真实验表明,该文提出的投影矩阵优化算法能较大地提高重构信号的精度。

  8. Nonlinear analysis of attractor describing the aerodynamic state of middle atmosphere based on matrix series into state-space

    Tkachova, P.; Krot, A.; Minervina, H.

    It is well known that there is chaos in convective process in atmosphere and ocean. In particular,dynamic model of Lorenz [1] describes the Rayleigh-Benard convection phenomenon. Phase trajectories of Lorenz equation system are characterized by strange alternative properties: on the one hand, they diverge (because of positive Lyapunov exponents), on the second hand, they attract to the limited domain of phase space called an attractor [1]. The Lorenz attractor has specific geometrical structure and can be characterized by means of fractal dimension. In this connection the aim of this work is development of analysis of Lorenz attractor based on the proposed nonlinear decomposition into matrix series [2]. This analysis permits to estimate the values of characteristic parameters (including control one) of Lorenz attractors and predict their evolution in time. Using results of matrix decomposition [2], it is not difficult to see that the change of vector function (describing the Lorenz attractor) can be approximated by only linear and quadratic terms [3]. Because values of the first and second order derivatives can be calculated by means of numerical methods we can estimate the change of the vector function from computational experiment. In result, the values of parameters of the Lorenz's attractor can be estimated. This permits us to solve the identification task of the current dynamical state of a convective aerodynamic flows. Moreover, using the results of matrix decomposition we can estimate the minimal embedding dimension [4] for the Lorenz attractor based on experimental data. References: [1] P.Berge,Y.Pomeau and C.Vidal. L'ordre dans le chaos: Vers une approche deterministe de la turbulence. Hermann:Paris,1988. [2] A.M.Krot, "Matrix decompositions of vector functions and shift operators on the trajectories of a nonlinear dynamical system", Nonlinear Phenomena in Complex Systems,vol.4, N2, pp.106- 115, 2001. [3] A.M.Krot and P

  9. The economics of project analysis: Optimal investment criteria and methods of study

    Scriven, M. C.


    Insight is provided toward the development of an optimal program for investment analysis of project proposals offering commercial potential and its components. This involves a critique of economic investment criteria viewed in relation to requirements of engineering economy analysis. An outline for a systems approach to project analysis is given Application of the Leontief input-output methodology to analysis of projects involving multiple processes and products is investigated. Effective application of elements of neoclassical economic theory to investment analysis of project components is demonstrated. Patterns of both static and dynamic activity levels are incorporated.

  10. Real options analysis for photovoltaic project under climate uncertainty

    Kim, Kyeongseok; Kim, Sejong; Kim, Hyoungkwan


    The decision on photovoltaic project depends on the level of climate environments. Changes in temperature and insolation affect photovoltaic output. It is important for investors to consider future climate conditions for determining investments on photovoltaic projects. We propose a real options-based framework to assess economic feasibility of photovoltaic project under climate change. The framework supports investors to evaluate climate change impact on photovoltaic projects under future climate uncertainty.

  11. Evaluation of Solid Modeling Software for Finite Element Analysis of Woven Ceramic Matrix Composites

    Nemeth, Noel N.; Mital, Subodh; Lang, Jerry


    Three computer programs, used for the purpose of generating 3-D finite element models of the Repeating Unit Cell (RUC) of a textile, were examined for suitability to model woven Ceramic Matrix Composites (CMCs). The programs evaluated were the open-source available TexGen, the commercially available WiseTex, and the proprietary Composite Material Evaluator (COMATE). A five-harness-satin (5HS) weave for a melt-infiltrated (MI) silicon carbide matrix and silicon carbide fiber was selected as an example problem and the programs were tested for their ability to generate a finite element model of the RUC. The programs were also evaluated for ease-of-use and capability, particularly for the capability to introduce various defect types such as porosity, ply shifting, and nesting of a laminate. Overall, it was found that TexGen and WiseTex were useful for generating solid models of the tow geometry; however, there was a lack of consistency in generating well-conditioned finite element meshes of the tows and matrix. TexGen and WiseTex were both capable of allowing collective and individual shifting of tows within a ply and WiseTex also had a ply nesting capability. TexGen and WiseTex were sufficiently userfriendly and both included a Graphical User Interface (GUI). COMATE was satisfactory in generating a 5HS finite element mesh of an idealized weave geometry but COMATE lacked a GUI and was limited to only 5HS and 8HS weaves compared to the larger amount of weave selections available with TexGen and WiseTex.

  12. A Transfer Matrix-Based Analysis of Vertical-Cavity Semiconductor Optical Amplifiers

    WANG Gang; LUO Bin; PAN Wei; XIONG Jie


    @@ Based on the transfer matrix method, we present a new one-dimensional steady-state model of vertical-cavity semiconductor optical amplifiers (VCSOAs), in which the longitudinal carrier concentration distribution in the active region and the discontinuity of the refractive index inside the cavity is taken into consideration. The model is theoretically proven to be a reliable one for describing the standing wave effect in a periodic gain structure.By using this model, some optical amplification characteristics of VCSOAs are investigated.

  13. Solid-matrix luminescence analysis. Final technical report, June 15, 1986--June 14, 1995

    Hurtubise, R.J.


    In this report, the major results and conclusions of the research over the last two years and five months will be considered. The report discusses the physicochemical interactions discovered that are important for solid-matrix luminescence (SML), and the development of new interaction models which are very useful for the understanding the phenomena that are relevant for SML. The SML of 4-phenylphenol and 2-phenyl phenol adsorbed on filter paper is described. In addition, some new analytical methodology and applications are discussed.

  14. Micromechanical Analysis of Interfacial Debonding in Metal Matrix Composites Subjected to off-axis Loading

    Xiaojun Zhu; Xuefeng Chen; Zhi Zhai; Qiang Chen; Shaohua Tian; Zhengjia He


    This study aims to investigate the effects of interfacial debonding and fiber volume fraction on the stress -strain behavior of the fiber reinforced metal matrix composites subjected to off -axis loading .The generalized method of cells ( GMC) is used to analyze a representative element whose fiber shape is circular .The constant compliant interface model (CCI) is also adopted to study the response of composites with imperfect interfacial bonding .Results show that for the com-posites subjected to off-axis loading ,the mechanical behaviors are affected appreciably by the interfacial debonding and the fiber volume fraction .

  15. A static analysis of metal matrix composite spur gear by three-dimensional finite element method

    Ganesan, N.; Vijayarangan, S.


    A number of engineering components have recently been made using metal matrix composite (MMC) materials, due to their overwhelming advantages, such as light weight high strength, higher dimensional stability and minimal attack by environment, when compared with polymer-based composite materials, even though the cost of MMCs are very high. Power transmission gears are one such area able to make use of MMC materials. Here an attempt is made to study and compare the performance of gears made of MMC materials with that of conventional steel material gears. It may be concluded from this study that MMC materials are highly suitable for making gears that are to transmit even fairly large power.

  16. Theoretical analysis of controllability of interference phenomena between partially coherent fields in the intensity matrix theory

    Yashiki, Satoshi


    We analyze the controllability of interference phenomena between partially coherent fields by introducing the Wigner distribution function (WDF) and entropy, which is defined using the intensity matrix [H. Gamo, J. Opt. Soc. Am. 47, 976 (1957)]. The analytical derivation of the WDF and entropy is presented for a partially coherent imaging system consisting of two pinholes illuminated by a circular source. It is shown that the WDF, defined in the 4D space-spatial frequency region, and entropy can be useful tools to understand how one can freely and quantitatively control the interference when any optical components in the partially coherent imaging system are changed.


    FuYiming; LiPing'en; ZhengYufang


    Based on the Schapery three-dimensional viscoelastic constitutive relationship with growing damage, a damage model with transverse matrix cracks for the unidirectional fibre reinforced viscoelastic composite plates is developed. By using Karman theory, the nonlinear dynamic governing equations of the viscoelastic composite plates under transverse periodic loading are established. By applying the finite difference method in spatial domain and the Newton-Newmark method in time domain, and using the iterative procedure, the integral-partial differential governing equations are solved. Some examples are given and the results are compared with available data.

  18. Value of Information Analysis Project Gnome Site, New Mexico

    Greg Pohll; Jenny Chapman


    The Project Gnome site in southeastern New Mexico was the location of an underground nuclear detonation in 1961 and a hydrologic tracer test using radionuclides in 1963. The tracer test is recognized as having greater radionuclide migration potential than the nuclear test because the tracer test radionuclides (tritium, 90Sr, 131I, and 137Cs) are in direct contact with the Culebra Dolomite aquifer, whereas the nuclear test is within a bedded salt formation. The tracer test is the topic here. Recognizing previous analyses of the fate of the Gnome tracer test contaminants (Pohll and Pohlmann, 1996; Pohlmann and Andricevic, 1994), and the existence of a large body of relevant investigations and analyses associated with the nearby Waste Isolation Pilot Plant (WIPP) site (summarized in US DOE, 2009), the Gnome Site Characterization Work Plan (U.S. DOE, 2002) called for a Data Decision Analysis to determine whether or not additional characterization data are needed prior to evaluating existing subsurface intrusion restrictions and determining long-term monitoring for the tracer test. Specifically, the Work Plan called for the analysis to weigh the potential reduction in uncertainty from additional data collection against the cost of such field efforts.

  19. Linear matrix inequality approach for robust stability analysis for stochastic neural networks with time-varying delay

    S. Lakshmanan; P. Balasubramaniarn


    This paper studies the problem of linear matrix inequality(LMI)approach to robust stability analysis for stochastic neural networks with a time-varying delay. By developing a delay decomposition approach, the information of the delayed plant states can be taken into full consideration. Based on the new Lyapunov-Krasovskii functional, some inequality techniques and stochastic stability theory, new delay-dependent stability criteria are obtained in terms of LMIs. The proposed results prove the less conservatism, which are realized by choosing new Lyapunov matrices in the decomposed integral intervals. Finally, numerical examples are provided to demonstrate the less conservatism and effectiveness of the proposed LMI method.

  20. Economic Performance Analysis of National Research and Development Project

    Kim, S. S.; Yun, S. W.; Kim, S. E. [KAERI, Daejeon (Korea, Republic of)


    There are a lot of differences between these two evaluation programs in terms of their main objectives, assessment items, and evaluation methods by item. When considering the recent evaluation trend of being more concerned with the objective and scientifically well-founded base of judgment than the qualitative results data, there seems to be much supplement and improvement points in both evaluation programs. Firstly, the MSIP's evaluation program which is known as 'The performance analysis of national R and D program in Korea is applying the principle of ex-post evaluation for the overall performances of R and D activities focusing on the scientific and technological outputs, economic effects, and social performances such as the training of science and engineering personnel. Its report has been done and published by the collaboration of MSIP and KISTEP(Korea Institute of Science and Technology Evaluation and Planning). There seems to be a trend that the economic contributions to the national economy and the industries by national R and D projects have been underestimated due to the difficulties of not presenting properly the reliable quantitative effects even though they have contributed not only to the real economy and economic growth but to the industrial productions and public benefits. The key reasons to this phenomenon might be the deficiency of perception for evaluation tools and methodologies development and the original difficulty of evaluation for R and D performances. Especially the evaluation results for national R and D projects could impact on the investment decision on the long-term national R and D program, with being based on the investment efficiency or the necessity and urgency which might be represented by evaluation results.

  1. Temporal moment analysis of solute transport in a coupled fracture-skin-matrix system

    V Renu; G Suresh Kumar


    In the present study, method of temporal moments has been used to analyse the transport characteristics of reactive solute along fracture in a coupled fracture-skin-matrix system. In order to obtain the concentration distribution within the fracture, a system of coupled partial differential equations for fracture, fractureskin and rock-matrix has been solved numerically in a pseudo two-dimensional domain using implicit finite difference method. Subsequently, lower order temporal moments of solute have been computed from the concentration distribution to analyse the transport characteristics of solutes in the fracture. This study has been done by considering an inlet boundary condition of constant continuous source in a single fracture. The effect of various fracture-skin parameters like porosity, thickness and diffusion coefficient on the transport of solutes have been studied by doing sensitivity analyses. The effect of nonlinear sorption and radioactive decay of solutes have also been analysed by carrying out simulations for different sorption intensities and decay constants. Numerical results suggested that the presence of fracture-skin significantly influences the transport characteristics of reactive solutes along the fracture.

  2. Comparative proteomic analysis of extracellular matrix proteins secreted by hypertrophic scar with normal skin fibroblasts

    Li Ma


    Full Text Available The formation of hypertrophic scars (HSs is a fibroproliferative disorder of abnormal wound healing. HSs usually characterize excessive proliferation of fibroblasts, abnormal deposition of extracellular matrix (ECM during wound healing, associated with cosmetic, functional, and psychological problems. Owing to the role of ECM proteins in scar formation, we comparatively analyzed matrix proteins secreted by normal skin fibroblasts (NSFs and HS fibroblasts (HSFs. The acetone-extracted secreted proteins were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE, and identified by mass spectrometry (MS. Based on Go annotation of MS data, the profiling of ECM proteins was established and scar-related proteins have been screened out. The functions of several ECM proteins identified by MS have been discussed, such as collagens I, VI, XII, fibronectin, decorin, lumican, and protein procollagen C endopeptidase enhancer 1 (PCPE-1. Among them, the MS result of PCPE-1 was supported by Western blotting that PCPE-1 from HSFs were significantly upregulated than that from NSFs. It is suggested that PCPE-1 could be a potential target for scar treatment. The exploration of scar related proteins may provide new perspectives on understanding the mechanism of scar formation and open a new way to scar treatment and prevention.

  3. Solid-matrix luminescence analysis. Progress report, 1 November 1991--15 January 1993

    Hurtubise, R.J.


    Several interactions with lumiphors adsorbed on filter paper were elucidated from experiments with moisture, modulus and heavy-atom salts. The data were interpreted using static and dynamic quenching models, heavy-atom theory, and a theory related to the modulus of paper. With cyclodextrin-salt matrices, it was shown that 10% {alpha}-cyclodextrin/NaCl was very effective for obtaining strong room-temperature fluorescence and moderate room-temperature phosphorescence from adsorbed stereoisomeric tetrols. Extensive photophysical information was obtained for the four tetrols on 10% {alpha}-cyclodextrin/NaCl. The photophysical information acquired was used to develop a method for characterizing two of the tetrols. Work with model compounds adsorbed on deuterated sodium acetate showed that C-H vibrations in the undeuterated sodium acetate were not responsible for the deactivation of the excited triplet state in the model phosphors investigated. A considerable amount of solution luminescence and solid-matrix luminescence data were compared. The most important finding was that in several cases the room-temperature solid-matrix luminescence quantum yields were greater than the solution low-temperature quantum yield values.

  4. The OASE project: Object-based Analysis and Seamless prediction

    Troemel, Silke; Wapler, Kathrin; Bick, Theresa; Diederich, Malte; Deneke, Hartwig; Horvath, Akos; Senf, Fabian; Simmer, Clemens; Simon, Juergen


    The research group on Object-based Analysis and SEamless prediction (OASE) is part of the Hans Ertel Centre for Weather Research (HErZ). The group consists of scientists at the Meteorological Institute, University of Bonn, the Leibniz-Institute for Tropospheric Research in Leipzig and the German Weather Service. OASE addresses seamless prediction of convective events from nowcasting to daily predictions by combining radar/satellite compositing and tracking with high-resolution model-based ensemble generation and prediction. While observation-based nowcasting provides good results for lead times between 0-1 hours, numerical weather prediction addresses lead times between 3-21 hours. Especially the discontinuity between 1-3 hours needs to be addressed. Therefore a central goal of the project is a near real-time high-resolved unprecedented data base. A radar and satellite remote sensing-driven 3D observation-microphysics composite covering Germany, currently under development, contains gridded observations and estimated microphysical quantities. Observations and microphysics are intertwined via forward operators and estimated inverse relations, which also provide uncertainties for model ensemble initialisations. The lifetime evolution of dynamics and microphysics in (severe) convective storms is analysed based on 3D scale-space tracking. An object-based analysis condenses the information contained in the dynamic 3D distributions of observables and related microphysics into descriptors, which will allow identifying governing processes leading to the formation and evolution of severe weather events. The object-based approach efficiently characterises and quantifies the process structure and life cycles of severe weather events, and facilitates nowcasting and the generation and initialisation of model prediction ensembles. Observation-based nowcasting will exploit the dual-composite based 3D feature detection and tracking to generate a set of predictions (observation

  5. Shot planning and analysis tools on the NIF project

    Beeler, R. [Lawrence Livermore National Laboratory, Livermore, CA (United States); Casey, A., E-mail: [Lawrence Livermore National Laboratory, Livermore, CA (United States); Conder, A.; Fallejo, R.; Flegel, M.; Hutton, M.; Jancaitis, K.; Lakamsani, V.; Potter, D.; Reisdorf, S.; Tappero, J.; Whitman, P.; Carr, W.; Liao, Z. [Lawrence Livermore National Laboratory, Livermore, CA (United States)


    Highlights: Black-Right-Pointing-Pointer Target shots in NIF, dozens a month, vary widely in laser and target configuration. Black-Right-Pointing-Pointer A planning tool helps select shot sequences that optimize valuable facility time. Black-Right-Pointing-Pointer Fabrication and supply of targets, diagnostics, etc. are integrated into the plan. Black-Right-Pointing-Pointer Predictive modeling of aging parts (e.g., optics) aids maintenance decision support. Black-Right-Pointing-Pointer We describe the planning/analysis tool and its use in NIF experimental operations. - Abstract: Shot planning and analysis tools (SPLAT) integrate components necessary to help achieve a high over-all operational efficiency of the National Ignition Facility (NIF) by combining near and long-term shot planning, final optics demand and supply loops, target diagnostics planning, and target fabrication requirements. Currently, the SPLAT project is comprised of two primary tool suites for shot planning and optics demand. The shot planning component provides a web-based interface to selecting and building a sequence of proposed shots for the NIF. These shot sequences, or 'lanes' as they are referred to by shot planners, provide for planning both near-term shots in the Facility and long-term 'campaigns' in the months and years to come. The shot planning capabilities integrate with the Campaign Management Tool (CMT) for experiment details and the NIF calendar for availability. Future enhancements will additionally integrate with target diagnostics planning and target fabrication requirements tools. The optics demand component is built upon predictive modeling of maintenance requirements on the final optics as a result of the proposed shots assembled during shot planning. The predictive models integrate energetics from a Laser Performance Operations Model (LPOM), the status of the deployed optics as provided by the online Final Optics Inspection system, and physics

  6. 77 FR 47621 - Appalachian Gateway Project; Notice of Availability of Draft General Conformity Analysis


    ... Conformity Analysis In accordance with the National Environmental Policy Act of 1969, the Clean Air Act and... prepared this draft General Conformity Determination (GCD) for the Appalachian Gateway Project (Project) to... the Project will achieve conformity in Pennsylvania with the use of Pennsylvania Department...

  7. Incorporating Asymmetric Dependency Patterns in the Evaluation of IS/IT projects Using Real Option Analysis

    Burke, John C.


    The objective of my dissertation is to create a general approach to evaluating IS/IT projects using Real Option Analysis (ROA). This is an important problem because an IT Project Portfolio (ITPP) can represent hundreds of projects, millions of dollars of investment and hundreds of thousands of employee hours. Therefore, any advance in the…

  8. The Timber Resource Inventory Model (TRIM): a projection model for timber supply and policy analysis.

    P.L. Tedder; R.N. La Mont; J.C. Kincaid


    TRIM (Timber Resource Inventory Model) is a yield table projection system developed for timber supply projections and policy analysis. TRIM simulates timber growth, inventories, management and area changes, and removals over the projection period. Programs in the TRIM system, card-by-card descriptions of required inputs, table formats, and sample results are presented...

  9. Statistical analysis of hydrologic data for Yucca Mountain; Yucca Mountain Site Characterization Project

    Rutherford, B.M.; Hall, I.J.; Peters, R.R.; Easterling, R.G.; Klavetter, E.A.


    The geologic formations in the unsaturated zone at Yucca Mountain are currently being studied as the host rock for a potential radioactive waste repository. Data from several drill holes have been collected to provide the preliminary information needed for planning site characterization for the Yucca Mountain Project. Hydrologic properties have been measured on the core samples and the variables analyzed here are thought to be important in the determination of groundwater travel times. This report presents a statistical analysis of four hydrologic variables: saturated-matrix hydraulic conductivity, maximum moisture content, suction head, and calculated groundwater travel time. It is important to modelers to have as much information about the distribution of values of these variables as can be obtained from the data. The approach taken in this investigation is to (1) identify regions at the Yucca Mountain site that, according to the data, are distinctly different; (2) estimate the means and variances within these regions; (3) examine the relationships among the variables; and (4) investigate alternative statistical methods that might be applicable when more data become available. The five different functional stratigraphic units at three different locations are compared and grouped into relatively homogeneous regions. Within these regions, the expected values and variances associated with core samples of different sizes are estimated. The results provide a rough estimate of the distribution of hydrologic variables for small core sections within each region.

  10. Design, analysis, and testing of a metal matrix composite web/flange intersection

    Biggers, S. B.; Knight, N. F., Jr.; Moran, S. G.; Olliffe, R.


    An experimental and analytical program to study the local design details of a typical T-shaped web/flange intersection made from a metal matrix composite is described. Loads creating flange bending were applied to specimens having different designs and boundary conditions. Finite element analyses were conducted on models of the test specimens to predict the structural response. The analyses correctly predict failure load, mode, and location in the fillet material in the intersection region of the web and the flange when specimen quality is good. The test program shows the importance of fabrication quality in the intersection region. The full-scale test program that led to the investigation of this local detail is also described.

  11. Analysis of matrix metalloproteinase-1 gene polymorphisms and expression in benign and malignant breast tumors

    Zhou, Jing; Brinckerhoff, Constance; Lubert, Susan; Yang, Kui; Saini, Jasmine; Hooke, Jeffrey; Mural, Richard; Shriver, Craig; Somiari, Stella


    A guanine insertion polymorphism in matrix metalloproteinase-1 promoter (MMP-1 2G) is linked to early onset and aggressiveness in cancer. We determined the role of MMP-1 2G on the level of MMP-1 expression and breast cancer severity in benign breast disease, atypical hyperplasia, invasive and non invasive (in situ) breast cancer. We observed no significant difference in genotype distribution among the different breast disease groups. However, the level of MMP-1 expression was significantly higher in atypical ductal hyperplasia compared to benign breast disease; and in invasive breast cancer compared to in situ breast cancer. MMP-1 2G insertion polymorphism in the invasive group also correlated significantly with the expression of MMP-1 and breast cancer prognostic markers HER2 and P53. PMID:22011282

  12. Random matrix analysis of the monopole strength distribution in $^{208}$Pb

    Severyukhin, A P; Arsenyev, N N; Nazmitdinov, R G; Pichugin, K N


    We study statistical properties of the $0^+$ spectrum of $^{208}$Pb in the energy region $E_x\\leq20$ MeV. We use the Skyrme interaction SLy4 as our model Hamiltonian to create a single-particle spectrum and to analyze excited states. The finite-rank separable approximation for the particle-hole interaction enables us to perform the calculations in large configuration spaces. We show that while the position of the monopole resonance centroid is determined by one phonon excitations of $0^+$, the phonon-phonon coupling is crucial for the description of a strength distribution of the $0^+$ spectrum. In fact, this coupling has an impact on the spectral rigidity $\\Delta_3(L)$ which is shifted towards the random matrix limit of the Gaussian orthogonal ensembles.

  13. Short-circuit fault analysis and isolation strategy for matrix converters

    王莉娜; L De Lillo; C Brunson; L Empringham; P Wheeler


    The behavior of matrix converter (MC) drive systems under the condition of MC short-circuit faults is comprehensively investigated. Two isolation strategies using semiconductors and high speed fuses (HSFs) for MC short-circuit faults are examined and their performances are compared. The behavior of MC drive systems during the fuse action time under different operating conditions is explored. The feasibility of fault-tolerant operation during the fuse action time is also studied. The basic selection laws for the HSFs and the requirements for the passive components of the MC drive system from the point view of short-circuit faults are also discussed. Simulation results are used to demonstrate the feasibility of the proposed isolation strategies.

  14. Ion exchange separation of chromium from natural water matrix for stable isotope mass spectrometric analysis

    Ball, J.W.; Bassett, R.L.


    A method has been developed for separating the Cr dissolved in natural water from matrix elements and determination of its stable isotope ratios using solid-source thermal-ionization mass spectrometry (TIMS). The separation method takes advantage of the existence of the oxidized form of Cr as an oxyanion to separate it from interfering cations using anion-exchange chromatography, and of the reduced form of Cr as a positively charged ion to separate it from interfering anions such as sulfate. Subsequent processing of the separated sample eliminates residual organic material for application to a solid source filament. Ratios for 53Cr/52Cr for National Institute of Standards and Technology Standard Reference Material 979 can be measured using the silica gel-boric acid technique with a filament-to-filament standard deviation in the mean 53Cr/52Cr ratio for 50 replicates of 0.00005 or less. (C) 2000 Elsevier Science B.V. All rights reserved.

  15. Analysis of the Damping Behavior and Microstructure of Cement Matrix with Silane-treated Silica Fume

    OU Jinping; LIU Tiejun; LI Jiahe


    The surface treatment of silica fume with silane coupling agent prior to incorporation in a cement mortar resulted in composites exhibiting increases in loss tangent by 5%-200% and storage modulus by 10%-20%, relative to the value obtained by using as-received silica fume. The scanning electron microscopy (SEM) images indicate that there is a morphological difference in the cement paste with treated and as-received silica fume. The X-ray diffraction (XRD), infrared (IR) spectrum analyses and mercury intrusion porosimetry (MIP) have provided evidence to understand the reaction mechanism between treated silica fume and the hydrate product of cement. This has led to the establishment of an initial microscopic model describing the damping behavior of cement matrix.

  16. Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis

    Chiba, Tomoaki; Akaho, Shotaro; Murata, Noboru


    In a product market or stock market, different products or stocks compete for the same consumers or purchasers. We propose a method to estimate the time-varying transition matrix of the product share using a multivariate time series of the product share. The method is based on the assumption that each of the observed time series of shares is a stationary distribution of the underlying Markov processes characterized by transition probability matrices. We estimate transition probability matrices for every observation under natural assumptions. We demonstrate, on a real-world dataset of the share of automobiles, that the proposed method can find intrinsic transition of shares. The resulting transition matrices reveal interesting phenomena, for example, the change in flows between TOYOTA group and GM group for the fiscal year where TOYOTA group’s sales beat GM’s sales, which is a reasonable scenario. PMID:28076383

  17. Thermal analysis of high intensity organic light-emitting diodes based on a transmission matrix approach

    Qi, Xiangfei; Forrest, Stephen R.


    We use a general transmission matrix formalism to determine the thermal response of organic light-emitting diodes (OLEDs) under high currents normally encountered in ultra-bright illumination conditions. This approach, based on Laplace transforms, facilitates the calculation of transient coupled heat transfer in a multi-layer composite characteristic of OLEDs. Model calculations are compared with experimental data on 5 cm × 5 cm green and red-emitting electrophosphorescent OLEDs under various current drive conditions. This model can be extended to study other complex optoelectronic structures under a wide variety of conditions that include heat removal via conduction, radiation, and convection. We apply the model to understand the effects of using high-thermal- conductivity substrates, and the transient thermal response under pulsed-current operation.

  18. Patchwork structure-function analysis of the Sendai virus matrix protein.

    Mottet-Osman, Geneviève; Miazza, Vincent; Vidalain, Pierre-Olivier; Roux, Laurent


    Paramyxoviruses contain a bi-lipidic envelope decorated by two transmembrane glycoproteins and carpeted on the inner surface with a layer of matrix proteins (M), thought to bridge the glycoproteins with the viral nucleocapsids. To characterize M structure-function features, a set of M domains were mutated or deleted. The genes encoding these modified M were incorporated into recombinant Sendai viruses and expressed as supplemental proteins. Using a method of integrated suppression complementation system (ISCS), the functions of these M mutants were analyzed in the context of the infection. Cellular membrane association, localization at the cell periphery, nucleocapsid binding, cellular protein interactions and promotion of viral particle formation were characterized in relation with the mutations. At the end, lack of nucleocapsid binding go together with lack of cell surface localization and both features definitely correlate with loss of M global function estimated by viral particle production.

  19. Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis.

    Chiba, Tomoaki; Hino, Hideitsu; Akaho, Shotaro; Murata, Noboru


    In a product market or stock market, different products or stocks compete for the same consumers or purchasers. We propose a method to estimate the time-varying transition matrix of the product share using a multivariate time series of the product share. The method is based on the assumption that each of the observed time series of shares is a stationary distribution of the underlying Markov processes characterized by transition probability matrices. We estimate transition probability matrices for every observation under natural assumptions. We demonstrate, on a real-world dataset of the share of automobiles, that the proposed method can find intrinsic transition of shares. The resulting transition matrices reveal interesting phenomena, for example, the change in flows between TOYOTA group and GM group for the fiscal year where TOYOTA group's sales beat GM's sales, which is a reasonable scenario.

  20. Performance analysis of cross-seeding WDM-PON system using transfer matrix method

    Simatupang, Joni Welman; Pukhrambam, Puspa Devi; Huang, Yen-Ru


    In this paper, a model based on the transfer matrix method is adopted to analyze the effects of Rayleigh backscattering and Fresnel multiple reflections on a cross-seeding WDM-PON system. As part of analytical approximation methods, this time-independent model is quite simple but very efficient when it is applied to various WDM-PON transmission systems, including the cross-seeding scheme. The cross seeding scheme is most beneficial for systems with low loop-back ONU gain or low reflection loss at the drop fiber for upstream data in bidirectional transmission. However for downstream data transmission, multiple reflections power could destroy the usefulness of the cross-seeding scheme when the reflectivity is high enough and the RN is positioned near OLT or close to ONU.