WorldWideScience

Sample records for hierarchical content analysis

  1. Content-Based Hierarchical Analysis of News Video Using Audio and Visual Information

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    A schema for content-based analysis of broadcast news video is presented. First, we separate commercials from news using audiovisual features. Then, we automatically organize news programs into a content hierarchy at various levels of abstraction via effective integration of video, audio, and text data available from the news programs. Based on these news video structure and content analysis technologies, a TV news video Library is generated, from which users can retrieve definite news story according to their demands.

  2. Hierarchical temporal video segmentation and content characterization

    Science.gov (United States)

    Gunsel, Bilge; Fu, Yue; Tekalp, A. Murat

    1997-10-01

    This paper addresses the segmentation of a video sequence into shots, specification of edit effects and subsequent characterization of shots in terms of color and motion content. The proposed scheme uses DC images extracted from MPEG compressed video and performs an unsupervised clustering for the extraction of camera shots. The specification of edit effects, such as fade-in/out and dissolve is based on the analysis of distribution of mean value for the luminance components. This step is followed by the representation of visual content of temporal segments in terms of key frames selected by similarity analysis of mean color histograms. For characterization of the similar temporal segments, motion and color characteristics are classified into different categories using a set of different features derived from motion vectors of triangular meshes and mean histograms of video shots.

  3. Content Analysis

    National Research Council Canada - National Science Library

    Rossi, George Bedinelli; Serralvo, Francisco Antonio; João, Belmiro Nascimento

    2014-01-01

    This study introduces the various definitions and types of content analysis. This type of analysis historically presents itself as a quantitative approach to data analysis and currently shows up as a qualitative approach...

  4. Hierarchical matrices algorithms and analysis

    CERN Document Server

    Hackbusch, Wolfgang

    2015-01-01

    This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications include the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix. The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition. Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchical matrices is of interest to scientists ...

  5. Content Analysis

    Directory of Open Access Journals (Sweden)

    George Bedinelli Rossi

    2014-09-01

    Full Text Available This study introduces the various definitions and types of content analysis. This type of analysis historically presents itself as a quantitative approach to data analysis and currently shows up as a qualitative approach. The most common types are the conceptual and relational analysis. The latter receives influences of linguistic, cognitive and mental models and it is subdivided in affective extraction, analysis of proximity and cognitive mapping. Regarding the importance of this type of analysis, we have quantitative and qualitative character and the latter approach can be used to identify hypotheses, theoretical constructs or even models that can be tested by multivariate statistical techniques or even by experiments. 

  6. Content Consumption and Hierarchical Structures of Web-Supported Courses

    Science.gov (United States)

    Hershkovitz, Arnon; Hardof-Jaffe, Sharon; Nachmias, Rafi

    2014-01-01

    This study presents an empirical investigation of the relationship between the hierarchical structure of content delivered to students within a Learning Management System (LMS) and its actual consumption. To this end, campus-wide data relating to 1,203 courses were collected from the LMS' servers and were subsequently analyzed using data mining…

  7. Constructing storyboards based on hierarchical clustering analysis

    Science.gov (United States)

    Hasebe, Satoshi; Sami, Mustafa M.; Muramatsu, Shogo; Kikuchi, Hisakazu

    2005-07-01

    There are growing needs for quick preview of video contents for the purpose of improving accessibility of video archives as well as reducing network traffics. In this paper, a storyboard that contains a user-specified number of keyframes is produced from a given video sequence. It is based on hierarchical cluster analysis of feature vectors that are derived from wavelet coefficients of video frames. Consistent use of extracted feature vectors is the key to avoid a repetition of computationally-intensive parsing of the same video sequence. Experimental results suggest that a significant reduction in computational time is gained by this strategy.

  8. Hierarchical analysis of acceptable use policies

    Directory of Open Access Journals (Sweden)

    P. A. Laughton

    2008-01-01

    Full Text Available Acceptable use policies (AUPs are vital tools for organizations to protect themselves and their employees from misuse of computer facilities provided. A well structured, thorough AUP is essential for any organization. It is impossible for an effective AUP to deal with every clause and remain readable. For this reason, some sections of an AUP carry more weight than others, denoting importance. The methodology used to develop the hierarchical analysis is a literature review, where various sources were consulted. This hierarchical approach to AUP analysis attempts to highlight important sections and clauses dealt with in an AUP. The emphasis of the hierarchal analysis is to prioritize the objectives of an AUP.

  9. Hierarchical modeling and analysis for spatial data

    CERN Document Server

    Banerjee, Sudipto; Gelfand, Alan E

    2003-01-01

    Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis, or written at a level often inaccessible to those lacking a strong background in mathematical statistics.Hierarchical Modeling and Analysis for Spatial Data is the first accessible, self-contained treatment of hierarchical methods, modeling, and dat

  10. An Automatic Hierarchical Delay Analysis Tool

    Institute of Scientific and Technical Information of China (English)

    FaridMheir-El-Saadi; BozenaKaminska

    1994-01-01

    The performance analysis of VLSI integrated circuits(ICs) with flat tools is slow and even sometimes impossible to complete.Some hierarchical tools have been developed to speed up the analysis of these large ICs.However,these hierarchical tools suffer from a poor interaction with the CAD database and poorly automatized operations.We introduce a general hierarchical framework for performance analysis to solve these problems.The circuit analysis is automatic under the proposed framework.Information that has been automatically abstracted in the hierarchy is kept in database properties along with the topological information.A limited software implementation of the framework,PREDICT,has also been developed to analyze the delay performance.Experimental results show that hierarchical analysis CPU time and memory requirements are low if heuristics are used during the abstraction process.

  11. Hierarchical Analysis of the Omega Ontology

    Energy Technology Data Exchange (ETDEWEB)

    Joslyn, Cliff A.; Paulson, Patrick R.

    2009-12-01

    Initial delivery for mathematical analysis of the Omega Ontology. We provide an analysis of the hierarchical structure of a version of the Omega Ontology currently in use within the US Government. After providing an initial statistical analysis of the distribution of all link types in the ontology, we then provide a detailed order theoretical analysis of each of the four main hierarchical links present. This order theoretical analysis includes the distribution of components and their properties, their parent/child and multiple inheritance structure, and the distribution of their vertical ranks.

  12. Influence of Al content on textural properties and catalytic activity of hierarchical porous aluminosilicate materials

    Indian Academy of Sciences (India)

    Ling Xu; Limei Duan; Zongrui Liu; Jingqi Guan; Qiubin Kan

    2013-12-01

    A series of hierarchical porous aluminosilicate materials were prepared using hydrothermal treatment of the composite formed by polystyrene colloidal spheres and aluminosilicate gel. Influence of Al content on the textural properties, acidic properties and catalytic activity of the hierarchical porous aluminosilicate materials was studied. The results showed that textural and acidic properties of the hierarchical porous aluminosilicate materials were strongly related to Al content. As Al content is increased (Si/Al = 25), the hierarchical porous catalysts exhibited higher catalytic activity and major product selectivity for alkylation of phenol with tert-butanol than the catalysts with a lower Al content (Si/Al = 50).

  13. Analysis hierarchical model for discrete event systems

    Science.gov (United States)

    Ciortea, E. M.

    2015-11-01

    The This paper presents the hierarchical model based on discrete event network for robotic systems. Based on the hierarchical approach, Petri network is analysed as a network of the highest conceptual level and the lowest level of local control. For modelling and control of complex robotic systems using extended Petri nets. Such a system is structured, controlled and analysed in this paper by using Visual Object Net ++ package that is relatively simple and easy to use, and the results are shown as representations easy to interpret. The hierarchical structure of the robotic system is implemented on computers analysed using specialized programs. Implementation of hierarchical model discrete event systems, as a real-time operating system on a computer network connected via a serial bus is possible, where each computer is dedicated to local and Petri model of a subsystem global robotic system. Since Petri models are simplified to apply general computers, analysis, modelling, complex manufacturing systems control can be achieved using Petri nets. Discrete event systems is a pragmatic tool for modelling industrial systems. For system modelling using Petri nets because we have our system where discrete event. To highlight the auxiliary time Petri model using transport stream divided into hierarchical levels and sections are analysed successively. Proposed robotic system simulation using timed Petri, offers the opportunity to view the robotic time. Application of goods or robotic and transmission times obtained by measuring spot is obtained graphics showing the average time for transport activity, using the parameters sets of finished products. individually.

  14. 多核防火墙分层内容过滤的时延分析%Latency analysis of multi-core firewall in hierarchical content filtering.

    Institute of Scientific and Technical Information of China (English)

    侯整风; 庞有祥

    2011-01-01

    防火墙时延分析对于防火墙设计和提升防火墙性能有着重要的意义.分别建立了多核 IP 级防火墙和多核应用级防火墙的数学模型,并基于排队论,推导出相应的内容过滤时延计算公式,分析并比较了这两类防火墙的时延特性.分析结果表明,IP级内容过滤防火墙时延特性明显优于应用级防火墙.%Latency analysis of the firewall has the vital significance for designing the firewall and improving the firewall performance.This paper sets up respectively mathematical models for multi-core IP-layer firewalls and multi-core applicationlayer firewalls, and based on the queuing theory, the corresponding latency formulas are derived for content filtration, the latency characteristics of these two types of firewalls are analyzed and compared. The analysis results indicate that the latency characteristic of the IP-layer firewall is better than the one of the application-layer firewall obviously in content filtration.

  15. A hierarchical P2P overlay network for interest-based media contents lookup

    Science.gov (United States)

    Lee, HyunRyong; Kim, JongWon

    2006-10-01

    We propose a P2P (peer-to-peer) overlay architecture, called IGN (interest grouping network), for contents lookup in the DHC (digital home community), which aims to provide a formalized home-network-extended construction of current P2P file sharing community. The IGN utilizes the Chord and de Bruijn graph for its hierarchical overlay network construction. By combining two schemes and by inheriting its features, the IGN efficiently supports contents lookup. More specifically, by introducing metadata-based lookup keyword, the IGN offers detailed contents lookup that can reflect the user interests. Moreover, the IGN tries to reflect home network environments of DHC by utilizing HG (home gateway) of each home network as a participating node of the IGN. Through experimental and analysis results, we show that the IGN is more efficient than Chord, a well-known DHT (distributed hash table)-based lookup protocol.

  16. Hierarchical Parallelization of Gene Differential Association Analysis

    Directory of Open Access Journals (Sweden)

    Dwarkadas Sandhya

    2011-09-01

    Full Text Available Abstract Background Microarray gene differential expression analysis is a widely used technique that deals with high dimensional data and is computationally intensive for permutation-based procedures. Microarray gene differential association analysis is even more computationally demanding and must take advantage of multicore computing technology, which is the driving force behind increasing compute power in recent years. In this paper, we present a two-layer hierarchical parallel implementation of gene differential association analysis. It takes advantage of both fine- and coarse-grain (with granularity defined by the frequency of communication parallelism in order to effectively leverage the non-uniform nature of parallel processing available in the cutting-edge systems of today. Results Our results show that this hierarchical strategy matches data sharing behavior to the properties of the underlying hardware, thereby reducing the memory and bandwidth needs of the application. The resulting improved efficiency reduces computation time and allows the gene differential association analysis code to scale its execution with the number of processors. The code and biological data used in this study are downloadable from http://www.urmc.rochester.edu/biostat/people/faculty/hu.cfm. Conclusions The performance sweet spot occurs when using a number of threads per MPI process that allows the working sets of the corresponding MPI processes running on the multicore to fit within the machine cache. Hence, we suggest that practitioners follow this principle in selecting the appropriate number of MPI processes and threads within each MPI process for their cluster configurations. We believe that the principles of this hierarchical approach to parallelization can be utilized in the parallelization of other computationally demanding kernels.

  17. Hierarchical analysis of the quiet Sun magnetism

    CERN Document Server

    Ramos, A Asensio

    2014-01-01

    Standard statistical analysis of the magnetic properties of the quiet Sun rely on simple histograms of quantities inferred from maximum-likelihood estimations. Because of the inherent degeneracies, either intrinsic or induced by the noise, this approach is not optimal and can lead to highly biased results. We carry out a meta-analysis of the magnetism of the quiet Sun from Hinode observations using a hierarchical probabilistic method. This model allows us to infer the statistical properties of the magnetic field vector over the observed field-of-view consistently taking into account the uncertainties in each pixel due to noise and degeneracies. Our results point out that the magnetic fields are very weak, below 275 G with 95% credibility, with a slight preference for horizontal fields, although the distribution is not far from a quasi-isotropic distribution.

  18. Qualitative Content Analysis

    Directory of Open Access Journals (Sweden)

    Philipp Mayring

    2000-06-01

    Full Text Available The article describes an approach of systematic, rule guided qualitative text analysis, which tries to preserve some methodological strengths of quantitative content analysis and widen them to a concept of qualitative procedure. First the development of content analysis is delineated and the basic principles are explained (units of analysis, step models, working with categories, validity and reliability. Then the central procedures of qualitative content analysis, inductive development of categories and deductive application of categories, are worked out. The possibilities of computer programs in supporting those qualitative steps of analysis are shown and the possibilities and limits of the approach are discussed. URN: urn:nbn:de:0114-fqs0002204

  19. Content Based Image Retrieval using Hierarchical and K-Means Clustering Techniques

    Directory of Open Access Journals (Sweden)

    V.S.V.S. Murthy

    2010-03-01

    Full Text Available In this paper we present an image retrieval system that takes an image as the input query and retrieves images based on image content. Content Based Image Retrieval is an approach for retrieving semantically-relevant images from an image database based on automatically-derived image features. The unique aspect of the system is the utilization of hierarchical and k-means clustering techniques. The proposed procedure consists of two stages. First, here we are going to filter most of the images in the hierarchical clustering and then apply the clustered images to KMeans, so that we can get better favored image results.

  20. A Hybrid P2P Overlay Network for Non-strictly Hierarchically Categorized Content

    Science.gov (United States)

    Wan, Yi; Asaka, Takuya; Takahashi, Tatsuro

    In P2P content distribution systems, there are many cases in which the content can be classified into hierarchically organized categories. In this paper, we propose a hybrid overlay network design suitable for such content called Pastry/NSHCC (Pastry for Non-Strictly Hierarchically Categorized Content). The semantic information of classification hierarchies of the content can be utilized regardless of whether they are in a strict tree structure or not. By doing so, the search scope can be restrained to any granularity, and the number of query messages also decreases while maintaining keyword searching availability. Through simulation, we showed that the proposed method provides better performance and lower overhead than unstructured overlays exploiting the same semantic information.

  1. 1 Hierarchical Approaches to the Analysis of Genetic Diversity in ...

    African Journals Online (AJOL)

    2015-04-14

    Apr 14, 2015 ... Keywords: Genetic diversity, Hierarchical approach, Plant, Clustering,. Descriptive ... utilization) or by clustering (based on a phonetic analysis of individual ...... Improvement of Food Crop Preservatives for the next Millennium.

  2. Fractal Analysis Based on Hierarchical Scaling in Complex Systems

    CERN Document Server

    Chen, Yanguang

    2016-01-01

    A fractal is in essence a hierarchy with cascade structure, which can be described with a set of exponential functions. From these exponential functions, a set of power laws indicative of scaling can be derived. Hierarchy structure and spatial network proved to be associated with one another. This paper is devoted to exploring the theory of fractal analysis of complex systems by means of hierarchical scaling. Two research methods are utilized to make this study, including logic analysis method and empirical analysis method. The main results are as follows. First, a fractal system such as Cantor set is described from the hierarchical angle of view; based on hierarchical structure, three approaches are proposed to estimate fractal dimension. Second, the hierarchical scaling can be generalized to describe multifractals, fractal complementary sets, and self-similar curve such as logarithmic spiral. Third, complex systems such as urban system are demonstrated to be a self-similar hierarchy. The human settlements i...

  3. Hierarchical manifold learning for regional image analysis.

    Science.gov (United States)

    Bhatia, Kanwal K; Rao, Anil; Price, Anthony N; Wolz, Robin; Hajnal, Joseph V; Rueckert, Daniel

    2014-02-01

    We present a novel method of hierarchical manifold learning which aims to automatically discover regional properties of image datasets. While traditional manifold learning methods have become widely used for dimensionality reduction in medical imaging, they suffer from only being able to consider whole images as single data points. We extend conventional techniques by additionally examining local variations, in order to produce spatially-varying manifold embeddings that characterize a given dataset. This involves constructing manifolds in a hierarchy of image patches of increasing granularity, while ensuring consistency between hierarchy levels. We demonstrate the utility of our method in two very different settings: 1) to learn the regional correlations in motion within a sequence of time-resolved MR images of the thoracic cavity; 2) to find discriminative regions of 3-D brain MR images associated with neurodegenerative disease.

  4. The association between content of the elements S, Cl, K, Fe, Cu, Zn and Br in normal and cirrhotic liver tissue from Danes and Greenlandic Inuit examined by dual hierarchical clustering analysis

    DEFF Research Database (Denmark)

    Laursen, Jens; Milman, Nils; Pind, N.;

    2014-01-01

    contents according to calculated similarities, one clustering elements according to correlation coefficients between the element contents, both using Euclidian distance and Ward Procedure. RESULTS: One dendrogram separated subjects in 7 clusters showing no differences in ethnicity, gender or age....... The analysis discriminated between elements in normal and cirrhotic livers. The other dendrogram clustered elements in four clusters: sulphur and chlorine; copper and bromine; potassium and zinc; iron. There were significant correlations between the elements in normal liver samples: S was associated with Cl, K...

  5. Multimedia content analysis

    CERN Document Server

    Ohm, Jens

    2016-01-01

    This textbook covers the theoretical backgrounds and practical aspects of image, video and audio feature expression, e.g., color, texture, edge, shape, salient point and area, motion, 3D structure, audio/sound in time, frequency and cepstral domains, structure and melody. Up-to-date algorithms for estimation, search, classification and compact expression of feature data are described in detail. Concepts of signal decomposition (such as segmentation, source tracking and separation), as well as composition, mixing, effects, and rendering, are discussed. Numerous figures and examples help to illustrate the aspects covered. The book was developed on the basis of a graduate-level university course, and most chapters are supplemented by problem-solving exercises. The book is also a self-contained introduction both for researchers and developers of multimedia content analysis systems in industry. .

  6. Hierarchical Dependence in Meta-Analysis

    Science.gov (United States)

    Stevens, John R.; Taylor, Alan M.

    2009-01-01

    Meta-analysis is a frequent tool among education and behavioral researchers to combine results from multiple experiments to arrive at a clear understanding of some effect of interest. One of the traditional assumptions in a meta-analysis is the independence of the effect sizes from the studies under consideration. This article presents a…

  7. Fabrication and analysis of gecko-inspired hierarchical polymer nanosetae.

    Science.gov (United States)

    Ho, Audrey Yoke Yee; Yeo, Lip Pin; Lam, Yee Cheong; Rodríguez, Isabel

    2011-03-22

    A gecko's superb ability to adhere to surfaces is widely credited to the large attachment area of the hierarchical and fibrillar structure on its feet. The combination of these two features provides the necessary compliance for the gecko toe-pad to effectively engage a high percentage of the spatulae at each step to any kind of surface topography. With the use of multi-tiered porous anodic alumina template and capillary force assisted nanoimprinting, we have successfully fabricated a gecko-inspired hierarchical topography of branched nanopillars on a stiff polymer. We also demonstrated that the hierarchical topography improved the shear adhesion force over a topography of linear structures by 150%. A systematic analysis to understand the phenomenon was performed. It was determined that the effective stiffness of the hierarchical branched structure was lower than that of the linear structure. The reduction in effective stiffness favored a more efficient bending of the branched topography and a better compliance to a test surface, hence resulting in a higher area of residual deformation. As the area of residual deformation increased, the shear adhesion force emulated. The branched pillar topography also showed a marked increase in hydrophobicity, which is an essential property in the practical applications of these structures for good self-cleaning in dry adhesion conditions.

  8. Performance Analysis of Hierarchical Clustering Algorithm

    Directory of Open Access Journals (Sweden)

    K.Ranjini

    2011-07-01

    Full Text Available Clustering is the classification of objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters, so that the data in each subset (ideally share some common trait - often proximity according to some defined distance measure. Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. This paper explains the implementation of agglomerative and divisive clustering algorithms applied on various types of data. The details of the victims of Tsunami in Thailand during the year 2004, was taken as the test data. Visual programming is used for implementation and running time of the algorithms using different linkages (agglomerative to different types of data are taken for analysis.

  9. Hierarchical multivariate covariance analysis of metabolic connectivity.

    Science.gov (United States)

    Carbonell, Felix; Charil, Arnaud; Zijdenbos, Alex P; Evans, Alan C; Bedell, Barry J

    2014-12-01

    Conventional brain connectivity analysis is typically based on the assessment of interregional correlations. Given that correlation coefficients are derived from both covariance and variance, group differences in covariance may be obscured by differences in the variance terms. To facilitate a comprehensive assessment of connectivity, we propose a unified statistical framework that interrogates the individual terms of the correlation coefficient. We have evaluated the utility of this method for metabolic connectivity analysis using [18F]2-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET) data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. As an illustrative example of the utility of this approach, we examined metabolic connectivity in angular gyrus and precuneus seed regions of mild cognitive impairment (MCI) subjects with low and high β-amyloid burdens. This new multivariate method allowed us to identify alterations in the metabolic connectome, which would not have been detected using classic seed-based correlation analysis. Ultimately, this novel approach should be extensible to brain network analysis and broadly applicable to other imaging modalities, such as functional magnetic resonance imaging (MRI).

  10. Analysis and Optimisation of Hierarchically Scheduled Multiprocessor Embedded Systems

    DEFF Research Database (Denmark)

    Pop, Traian; Pop, Paul; Eles, Petru;

    2008-01-01

    , they are organised in a hierarchy. In this paper, we first develop a holistic scheduling and schedulability analysis that determines the timing properties of a hierarchically scheduled system. Second, we address design problems that are characteristic to such hierarchically scheduled systems: assignment......We present an approach to the analysis and optimisation of heterogeneous multiprocessor embedded systems. The systems are heterogeneous not only in terms of hardware components, but also in terms of communication protocols and scheduling policies. When several scheduling policies share a resource...... of scheduling policies to tasks, mapping of tasks to hardware components, and the scheduling of the activities. We also present several algorithms for solving these problems. Our heuristics are able to find schedulable implementations under limited resources, achieving an efficient utilisation of the system...

  11. Content Analysis: Television.

    Science.gov (United States)

    Williams, Tannis MacBeth; And Others

    Content analyses of the depiction of aggression and images of reality on Canadian television were performed on 109 program tapes of top-rated Toronto programs. Content was coded in terms of global messages communicated, character portrayals, context and setting of the program, amount and nature of conflict portrayed, and detailed information on…

  12. Content-based audio authentication using a hierarchical patchwork watermark embedding

    Science.gov (United States)

    Gulbis, Michael; Müller, Erika

    2010-05-01

    Content-based audio authentication watermarking techniques extract perceptual relevant audio features, which are robustly embedded into the audio file to protect. Manipulations of the audio file are detected on the basis of changes between the original embedded feature information and the anew extracted features during verification. The main challenges of content-based watermarking are on the one hand the identification of a suitable audio feature to distinguish between content preserving and malicious manipulations. On the other hand the development of a watermark, which is robust against content preserving modifications and able to carry the whole authentication information. The payload requirements are significantly higher compared to transaction watermarking or copyright protection. Finally, the watermark embedding should not influence the feature extraction to avoid false alarms. Current systems still lack a sufficient alignment of watermarking algorithm and feature extraction. In previous work we developed a content-based audio authentication watermarking approach. The feature is based on changes in DCT domain over time. A patchwork algorithm based watermark was used to embed multiple one bit watermarks. The embedding process uses the feature domain without inflicting distortions to the feature. The watermark payload is limited by the feature extraction, more precisely the critical bands. The payload is inverse proportional to segment duration of the audio file segmentation. Transparency behavior was analyzed in dependence of segment size and thus the watermark payload. At a segment duration of about 20 ms the transparency shows an optimum (measured in units of Objective Difference Grade). Transparency and/or robustness are fast decreased for working points beyond this area. Therefore, these working points are unsuitable to gain further payload, needed for the embedding of the whole authentication information. In this paper we present a hierarchical extension

  13. Hierarchical Cluster Analysis – Various Approaches to Data Preparation

    Directory of Open Access Journals (Sweden)

    Z. Pacáková

    2013-09-01

    Full Text Available The article deals with two various approaches to data preparation to avoid multicollinearity. The aim of the article is to find similarities among the e-communication level of EU states using hierarchical cluster analysis. The original set of fourteen indicators was first reduced on the basis of correlation analysis while in case of high correlation indicator of higher variability was included in further analysis. Secondly the data were transformed using principal component analysis while the principal components are poorly correlated. For further analysis five principal components explaining about 92% of variance were selected. Hierarchical cluster analysis was performed both based on the reduced data set and the principal component scores. Both times three clusters were assumed following Pseudo t-Squared and Pseudo F Statistic, but the final clusters were not identical. An important characteristic to compare the two results found was to look at the proportion of variance accounted for by the clusters which was about ten percent higher for the principal component scores (57.8% compared to 47%. Therefore it can be stated, that in case of using principal component scores as an input variables for cluster analysis with explained proportion high enough (about 92% for in our analysis, the loss of information is lower compared to data reduction on the basis of correlation analysis.

  14. Hierarchical models and the analysis of bird survey information

    Science.gov (United States)

    Sauer, J.R.; Link, W.A.

    2003-01-01

    Management of birds often requires analysis of collections of estimates. We describe a hierarchical modeling approach to the analysis of these data, in which parameters associated with the individual species estimates are treated as random variables, and probability statements are made about the species parameters conditioned on the data. A Markov-Chain Monte Carlo (MCMC) procedure is used to fit the hierarchical model. This approach is computer intensive, and is based upon simulation. MCMC allows for estimation both of parameters and of derived statistics. To illustrate the application of this method, we use the case in which we are interested in attributes of a collection of estimates of population change. Using data for 28 species of grassland-breeding birds from the North American Breeding Bird Survey, we estimate the number of species with increasing populations, provide precision-adjusted rankings of species trends, and describe a measure of population stability as the probability that the trend for a species is within a certain interval. Hierarchical models can be applied to a variety of bird survey applications, and we are investigating their use in estimation of population change from survey data.

  15. Modeling place field activity with hierarchical slow feature analysis

    Directory of Open Access Journals (Sweden)

    Fabian eSchoenfeld

    2015-05-01

    Full Text Available In this paper we present six experimental studies from the literature on hippocampal place cells and replicate their main results in a computational framework based on the principle of slowness. Each of the chosen studies first allows rodents to develop stable place field activity and then examines a distinct property of the established spatial encoding, namely adaptation to cue relocation and removal; directional firing activity in the linear track and open field; and results of morphing and stretching the overall environment. To replicate these studies we employ a hierarchical Slow Feature Analysis (SFA network. SFA is an unsupervised learning algorithm extracting slowly varying information from a given stream of data, and hierarchical application of SFA allows for high dimensional input such as visual images to be processed efficiently and in a biologically plausible fashion. Training data for the network is produced in ratlab, a free basic graphics engine designed to quickly set up a wide range of 3D environments mimicking real life experimental studies, simulate a foraging rodent while recording its visual input, and training & sampling a hierarchical SFA network.

  16. Analysis of genomic signatures in prokaryotes using multinomial regression and hierarchical clustering

    DEFF Research Database (Denmark)

    Ussery, David; Bohlin, Jon; Skjerve, Eystein

    2009-01-01

    Recently there has been an explosion in the availability of bacterial genomic sequences, making possible now an analysis of genomic signatures across more than 800 hundred different bacterial chromosomes, from a wide variety of environments. Using genomic signatures, we pair-wise compared 867...... different genomic DNA sequences, taken from chromosomes and plasmids more than 100,000 base-pairs in length. Hierarchical clustering was performed on the outcome of the comparisons before a multinomial regression model was fitted. The regression model included the cluster groups as the response variable...... AT content. Small improvements to the regression model, although significant, were also obtained by factors such as sequence size, habitat, growth temperature, selective pressure measured as oligonucleotide usage variance, and oxygen requirement.The statistics obtained using hierarchical clustering...

  17. Hierarchical Visual Analysis and Steering Framework for Astrophysical Simulations

    Institute of Scientific and Technical Information of China (English)

    肖健; 张加万; 原野; 周鑫; 纪丽; 孙济洲

    2015-01-01

    A framework for accelerating modern long-running astrophysical simulations is presented, which is based on a hierarchical architecture where computational steering in the high-resolution run is performed under the guide of knowledge obtained in the gradually refined ensemble analyses. Several visualization schemes for facilitating ensem-ble management, error analysis, parameter grouping and tuning are also integrated owing to the pluggable modular design. The proposed approach is prototyped based on the Flash code, and it can be extended by introducing user-defined visualization for specific requirements. Two real-world simulations, i.e., stellar wind and supernova remnant, are carried out to verify the proposed approach.

  18. Category theoretic analysis of hierarchical protein materials and social networks.

    Directory of Open Access Journals (Sweden)

    David I Spivak

    Full Text Available Materials in biology span all the scales from Angstroms to meters and typically consist of complex hierarchical assemblies of simple building blocks. Here we describe an application of category theory to describe structural and resulting functional properties of biological protein materials by developing so-called ologs. An olog is like a "concept web" or "semantic network" except that it follows a rigorous mathematical formulation based on category theory. This key difference ensures that an olog is unambiguous, highly adaptable to evolution and change, and suitable for sharing concepts with other olog. We consider simple cases of beta-helical and amyloid-like protein filaments subjected to axial extension and develop an olog representation of their structural and resulting mechanical properties. We also construct a representation of a social network in which people send text-messages to their nearest neighbors and act as a team to perform a task. We show that the olog for the protein and the olog for the social network feature identical category-theoretic representations, and we proceed to precisely explicate the analogy or isomorphism between them. The examples presented here demonstrate that the intrinsic nature of a complex system, which in particular includes a precise relationship between structure and function at different hierarchical levels, can be effectively represented by an olog. This, in turn, allows for comparative studies between disparate materials or fields of application, and results in novel approaches to derive functionality in the design of de novo hierarchical systems. We discuss opportunities and challenges associated with the description of complex biological materials by using ologs as a powerful tool for analysis and design in the context of materiomics, and we present the potential impact of this approach for engineering, life sciences, and medicine.

  19. Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion.

    Science.gov (United States)

    Zhou, Feng; De la Torre, Fernando; Hodgins, Jessica K

    2013-03-01

    Temporal segmentation of human motion into plausible motion primitives is central to understanding and building computational models of human motion. Several issues contribute to the challenge of discovering motion primitives: the exponential nature of all possible movement combinations, the variability in the temporal scale of human actions, and the complexity of representing articulated motion. We pose the problem of learning motion primitives as one of temporal clustering, and derive an unsupervised hierarchical bottom-up framework called hierarchical aligned cluster analysis (HACA). HACA finds a partition of a given multidimensional time series into m disjoint segments such that each segment belongs to one of k clusters. HACA combines kernel k-means with the generalized dynamic time alignment kernel to cluster time series data. Moreover, it provides a natural framework to find a low-dimensional embedding for time series. HACA is efficiently optimized with a coordinate descent strategy and dynamic programming. Experimental results on motion capture and video data demonstrate the effectiveness of HACA for segmenting complex motions and as a visualization tool. We also compare the performance of HACA to state-of-the-art algorithms for temporal clustering on data of a honey bee dance. The HACA code is available online.

  20. A Novel Divisive Hierarchical Clustering Algorithm for Geospatial Analysis

    Directory of Open Access Journals (Sweden)

    Shaoning Li

    2017-01-01

    Full Text Available In the fields of geographic information systems (GIS and remote sensing (RS, the clustering algorithm has been widely used for image segmentation, pattern recognition, and cartographic generalization. Although clustering analysis plays a key role in geospatial modelling, traditional clustering methods are limited due to computational complexity, noise resistant ability and robustness. Furthermore, traditional methods are more focused on the adjacent spatial context, which makes it hard for the clustering methods to be applied to multi-density discrete objects. In this paper, a new method, cell-dividing hierarchical clustering (CDHC, is proposed based on convex hull retraction. The main steps are as follows. First, a convex hull structure is constructed to describe the global spatial context of geospatial objects. Then, the retracting structure of each borderline is established in sequence by setting the initial parameter. The objects are split into two clusters (i.e., “sub-clusters” if the retracting structure intersects with the borderlines. Finally, clusters are repeatedly split and the initial parameter is updated until the terminate condition is satisfied. The experimental results show that CDHC separates the multi-density objects from noise sufficiently and also reduces complexity compared to the traditional agglomerative hierarchical clustering algorithm.

  1. Novel nanocomposite hydrogels consisting of layered double hydroxide with ultrahigh tensibility and hierarchical porous structure at low inorganic content.

    Science.gov (United States)

    Hu, Ziqiao; Chen, Guangming

    2014-09-10

    A novel type of polymer nanocomposite (NC) hydrogel with extraordinary mechanical properties at low inorganic content is prepared and investigated. The NC hydrogels consist of isethionate-loaded layered double hydroxide/polyacrylamide (LDH-Ise/PAM) - with LDH-Ise being used because of its swelling properties - and no conventional organic crosslinker. The NC hydrogels exhibit an unusual hierarchical porous structure at the micro- and nanometer scales, and their elongation at break can exceed 4000%.

  2. Hierarchical resource analysis for land use planning through remote sensing

    Science.gov (United States)

    Byrnes, B. H.; Frazee, C. J.; Cox, T. L.

    1976-01-01

    A hierarchical resource analysis was applied to remote sensing data to provide maps at Planning Levels I and III (Anderson et al., U.S. Geological Survey Circular 671) for Meade County, S. Dak. Level I land use and general soil maps were prepared by visual interpretation of imagery from a false color composite of Landsat MSS bands 4, 5, and 7 and single bands (5 and 7). A modified Level III land use map was prepared for the Black Hills area from RB-57 photography enlarged to a scale of 1:24,000. Level III land use data were used together with computer-generated interpretive soil maps to analyze relationships between developed and developing areas and soil criteria.

  3. Analysis of stability of community structure across multiple hierarchical levels

    CERN Document Server

    Li, Hui-Jia

    2015-01-01

    The analysis of stability of community structure is an important problem for scientists from many fields. Here, we propose a new framework to reveal hidden properties of community structure by quantitatively analyzing the dynamics of Potts model. Specifically we model the Potts procedure of community structure detection by a Markov process, which has a clear mathematical explanation. Critical topological information regarding to multivariate spin configuration could also be inferred from the spectral significance of the Markov process. We test our framework on some example networks and find it doesn't have resolute limitation problem at all. Results have shown the model we proposed is able to uncover hierarchical structure in different scales effectively and efficiently.

  4. Task Analysis - Its Relation to Content Analysis.

    Science.gov (United States)

    Gagne, Robert M.

    Task analysis is a procedure having the purpose of identifying different kinds of performances which are outcomes of learning, in order to make possible the specification of optimal instructional conditions for each kind of outcome. Task analysis may be related to content analysis in two different ways: (1) it may be used to identify the probably…

  5. Kinematic gait patterns in healthy runners: A hierarchical cluster analysis.

    Science.gov (United States)

    Phinyomark, Angkoon; Osis, Sean; Hettinga, Blayne A; Ferber, Reed

    2015-11-01

    Previous studies have demonstrated distinct clusters of gait patterns in both healthy and pathological groups, suggesting that different movement strategies may be represented. However, these studies have used discrete time point variables and usually focused on only one specific joint and plane of motion. Therefore, the first purpose of this study was to determine if running gait patterns for healthy subjects could be classified into homogeneous subgroups using three-dimensional kinematic data from the ankle, knee, and hip joints. The second purpose was to identify differences in joint kinematics between these groups. The third purpose was to investigate the practical implications of clustering healthy subjects by comparing these kinematics with runners experiencing patellofemoral pain (PFP). A principal component analysis (PCA) was used to reduce the dimensionality of the entire gait waveform data and then a hierarchical cluster analysis (HCA) determined group sets of similar gait patterns and homogeneous clusters. The results show two distinct running gait patterns were found with the main between-group differences occurring in frontal and sagittal plane knee angles (Pgait strategies. These results suggest care must be taken when selecting samples of subjects in order to investigate the pathomechanics of injured runners.

  6. The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS

    NARCIS (Netherlands)

    Zhou, Q.; Leng, F.; Leydesdorff, L.

    2015-01-01

    Purpose: To discuss the problems arising from hierarchical cluster analysis of co-occurrence matrices in SPSS, and the corresponding solutions. Design/methodology/approach: We design different methods of using the SPSS hierarchical clustering module for co-occurrence matrices in order to compare the

  7. The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS

    NARCIS (Netherlands)

    Zhou, Q.; Leng, F.; Leydesdorff, L.

    2015-01-01

    Purpose: To discuss the problems arising from hierarchical cluster analysis of co-occurrence matrices in SPSS, and the corresponding solutions. Design/methodology/approach: We design different methods of using the SPSS hierarchical clustering module for co-occurrence matrices in order to compare

  8. Towards an Efficient Hierarchical Codebooks for Content-Based Images Retrieval

    Institute of Scientific and Technical Information of China (English)

    Z.Elleuch; K.Marzouki

    2014-01-01

    In space feature quantization, the most important problem is designing an efficient and compact codebook. The hierarchical clustering approach successfully solves the problem of quantifying the feature space in a large vocabulary size. In this paper we propose to use a tree structure of hierarchical self-organizing-map (H-SOM) with the depth length equal to two and a high size of branch factors (50, 100, 200, 400, and 500). Moreover, an incremental learning process of H-SOM is used to overcome the problem of the curse of the dimensionality of space. The method is evaluated on three public datasets. Results exceed the current state-of-art retrieval performance on Kentucky and Oxford5k dataset. However, it is with less performance on the Holidays dataset. The experiment results indicate that the proposed tree structure shows significant improvement with a large number of branch factors.

  9. Spatial Hierarchical Bayesian Analysis of the Historical Extreme Streamflow

    Science.gov (United States)

    Najafi, M. R.; Moradkhani, H.

    2012-04-01

    Analysis of the climate change impact on extreme hydro-climatic events is crucial for future hydrologic/hydraulic designs and water resources decision making. The purpose of this study is to investigate the changes of the extreme value distribution parameters with respect to time to reflect upon the impact of climate change. We develop a statistical model using the observed streamflow data of the Columbia River Basin in USA to estimate the changes of high flows as a function of time as well as other variables. Generalized Pareto Distribution (GPD) is used to model the upper 95% flows during December through March for 31 gauge stations. In the process layer of the model the covariates including time, latitude, longitude, elevation and basin area are considered to assess the sensitivity of the model to each variable. Markov Chain Monte Carlo (MCMC) method is used to estimate the parameters. The Spatial Hierarchical Bayesian technique models the GPD parameters spatially and borrows strength from other locations by pooling data together, while providing an explicit estimation of the uncertainties in all stages of modeling.

  10. Applying Content Analysis to Web-based Content

    OpenAIRE

    Kim, Inhwa; Kuljis, Jasna

    2010-01-01

    Using Content Analysis onWeb-based content, in particular the content available onWeb 2.0 sites, is investigated. The relative strengths and limitations of the method are described. To illustrate how content analysis may be used, we provide a brief overview of a case study that investigates cultural impacts on the use of design features with regard to self-disclosure on the blogs of South Korean and United Kingdom’s users. In this study we took a standard approach to conducting the content an...

  11. Associations among attachment, sexuality, and marital satisfaction in adult Chilean couples: a linear hierarchical models analysis.

    Science.gov (United States)

    Heresi Milad, Eliana; Rivera Ottenberger, Diana; Huepe Artigas, David

    2014-01-01

    This study aimed to explore the associations among attachment system type, sexual satisfaction, and marital satisfaction in adult couples in stable relationships. Participants were 294 couples between the ages of 20 and 70 years who answered self-administered questionnaires. Hierarchical linear modeling revealed that the anxiety and avoidance, sexual satisfaction, and marital satisfaction dimensions were closely related. Specifically, the avoidance dimension, but not the anxiety dimension, corresponded to lower levels of sexual and marital satisfaction. Moreover, for the sexual satisfaction variable, an interaction effect was observed between the gender of the actor and avoidance of the partner, which was observed only in men. In the marital satisfaction dimension, effects were apparent only at the individual level; a positive relation was found between the number of years spent living together and greater contentment with the relationship. These results confirm the hypothetical association between attachment and sexual and marital satisfaction and demonstrate the relevance of methodologies when the unit of analysis is the couple.

  12. Hierarchical Classifiers for Multi-Way Sentiment Analysis of Arabic Reviews

    Directory of Open Access Journals (Sweden)

    Mahmoud Al-Ayyoub

    2016-02-01

    Full Text Available Sentiment Analysis (SA is one of hottest fields in data mining (DM and natural language processing (NLP. The goal of SA is to extract the sentiment conveyed in a certain text based on its content. While most current works focus on the simple problem of determining whether the sentiment is positive or negative, Multi-Way Sentiment Analysis (MWSA focuses on sentiments conveyed through a rating or scoring system (e.g., a 5-star scoring system. In such scoring systems, the sentiments conveyed in two reviews of close scores (such as 4 stars and 5 stars can be very similar creating an added challenge compared to traditional SA. One intuitive way of handling this challenge is via a divide-and-conquer approach where the MWSA problem is divided into a set of sub-problems allowing the use of customized classifiers to differentiate between reviews of close scores. A hierarchical classification structure can be used with this approach where each node represents a different classification sub-problem and the decision from it may lead to the invocation of another classifier. In this work, we show how the use of this divide-and-conquer hierarchical structure of classifiers can generate better results than the use of existing flat classifiers for the MWSA problem. We focus on the Arabic language for many reasons such as the importance of this language and the scarcity of prior works and available tools for it. To the best of our knowledge, very few papers have been published on MWSA of Arabic reviews. One notable work is that of Ali and Atiya, in which the authors collected a large scale Arabic Book Reviews (LABR dataset and made it publicly available. Unfortunately, the baseline experiments on this dataset had very low accuracy. We present two different hierarchical structures and compare their accuracies with the flat structure using different core classifiers. The comparison is based on standard accuracy measures such as precision and recall in addition to

  13. Registration Cost Performance Analysis of a Hierarchical Mobile Internet Protocol Network

    Institute of Scientific and Technical Information of China (English)

    XU Kai; JI Hong; YUE Guang-xin

    2004-01-01

    On the basis of introducing principles for hierarchical mobile Internet protocol networks, the registration cost performance in this network model is analyzed in detail. Furthermore, the functional relationship is also established in the paper among registration cost, hierarchical level number and the maximum handover time for gateway foreign agent regional registration. At last, the registration cost of the hierarchical mobile Internet protocol network is compared with that of the traditional mobile Internet protocol. Theoretic analysis and computer simulation results show that the hierarchical level number and the maximum handover times can both affect the registration cost importantly, when suitable values of which are chosen, the hierarchical network can significantly improve the registration performance compared with the traditional mobile IP.

  14. Hierarchical Scheduling Framework Based on Compositional Analysis Using Uppaal

    DEFF Research Database (Denmark)

    Boudjadar, Jalil; David, Alexandre; Kim, Jin Hyun

    2014-01-01

    This paper introduces a reconfigurable compositional scheduling framework, in which the hierarchical structure, the scheduling policies, the concrete task behavior and the shared resources can all be reconfigured. The behavior of each periodic preemptive task is given as a list of timed actions, ...

  15. Reactions to Job Content Plateaus: Examining Role Ambiguity and Hierarchical Plateaus as Moderators

    Science.gov (United States)

    McCleese, Carrie S.; Eby, Lillian T.

    2006-01-01

    Plateauing research often reveals a negative relationship between job content plateauing (i.e., lacking challenge in one's job) and work attitudes. This study explores situations where job content plateauing is associated with fewer negative work attitudes, revealing role ambiguity (i.e., being unclear about job duties and responsibilities) and…

  16. Hierarchical Modelling of Flood Risk for Engineering Decision Analysis

    DEFF Research Database (Denmark)

    Custer, Rocco

    Societies around the world are faced with flood risk, prompting authorities and decision makers to manage risk to protect population and assets. With climate change, urbanisation and population growth, flood risk changes constantly, requiring flood risk management strategies that are flexible...... and robust. Traditional risk management solutions, e.g. dike construction, are not particularly flexible, as they are difficult to adapt to changing risk. Conversely, the recent concept of integrated flood risk management, entailing a combination of several structural and non-structural risk management...... measures, allows identifying flexible and robust flood risk management strategies. Based on it, this thesis investigates hierarchical flood protection systems, which encompass two, or more, hierarchically integrated flood protection structures on different spatial scales (e.g. dikes, local flood barriers...

  17. A COMPARISON BETWEEN SINGLE LINKAGE AND COMPLETE LINKAGE IN AGGLOMERATIVE HIERARCHICAL CLUSTER ANALYSIS FOR IDENTIFYING TOURISTS SEGMENTS

    OpenAIRE

    Noor Rashidah Rashid

    2012-01-01

    Cluster Analysis is a multivariate method in statistics. Agglomerative Hierarchical Cluster Analysis is one of approaches in Cluster Analysis. There are two linkage methods in Agglomerative Hierarchical Cluster Analysis which are Single Linkage and Complete Linkage. The purpose of this study is to compare between Single Linkage and Complete Linkage in Agglomerative Hierarchical Cluster Analysis. The comparison of performances between these linkage methods was shown by using Kruskal-Wallis tes...

  18. Content analysis in information flows

    Energy Technology Data Exchange (ETDEWEB)

    Grusho, Alexander A. [Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Vavilova str., 44/2, Moscow (Russian Federation); Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow (Russian Federation); Grusho, Nick A.; Timonina, Elena E. [Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Vavilova str., 44/2, Moscow (Russian Federation)

    2016-06-08

    The paper deals with architecture of content recognition system. To analyze the problem the stochastic model of content recognition in information flows was built. We proved that under certain conditions it is possible to solve correctly a part of the problem with probability 1, viewing a finite section of the information flow. That means that good architecture consists of two steps. The first step determines correctly certain subsets of contents, while the second step may demand much more time for true decision.

  19. Visual Analysis of Weblog Content

    Energy Technology Data Exchange (ETDEWEB)

    Gregory, Michelle L.; Payne, Deborah A.; McColgin, Dave; Cramer, Nick O.; Love, Douglas V.

    2007-03-26

    In recent years, one of the advances of the World Wide Web is social media and one of the fastest growing aspects of social media is the blogosphere. Blogs make content creation easy and are highly accessible through web pages and syndication. With their growing influence, a need has arisen to be able to monitor the opinions and insight revealed within their content. In this paper we describe a technical approach for analyzing the content of blog data using a visual analytic tool, IN-SPIRE, developed by Pacific Northwest National Laboratory. We highlight the capabilities of this tool that are particularly useful for information gathering from blog data.

  20. Hierarchical linear model: thinking outside the traditional repeated-measures analysis-of-variance box.

    Science.gov (United States)

    Lininger, Monica; Spybrook, Jessaca; Cheatham, Christopher C

    2015-04-01

    Longitudinal designs are common in the field of athletic training. For example, in the Journal of Athletic Training from 2005 through 2010, authors of 52 of the 218 original research articles used longitudinal designs. In 50 of the 52 studies, a repeated-measures analysis of variance was used to analyze the data. A possible alternative to this approach is the hierarchical linear model, which has been readily accepted in other medical fields. In this short report, we demonstrate the use of the hierarchical linear model for analyzing data from a longitudinal study in athletic training. We discuss the relevant hypotheses, model assumptions, analysis procedures, and output from the HLM 7.0 software. We also examine the advantages and disadvantages of using the hierarchical linear model with repeated measures and repeated-measures analysis of variance for longitudinal data.

  1. Hierarchical Linear Model: Thinking Outside the Traditional Repeated-Measures Analysis-of-Variance Box

    Science.gov (United States)

    Lininger, Monica; Spybrook, Jessaca; Cheatham, Christopher C.

    2015-01-01

    Longitudinal designs are common in the field of athletic training. For example, in the Journal of Athletic Training from 2005 through 2010, authors of 52 of the 218 original research articles used longitudinal designs. In 50 of the 52 studies, a repeated-measures analysis of variance was used to analyze the data. A possible alternative to this approach is the hierarchical linear model, which has been readily accepted in other medical fields. In this short report, we demonstrate the use of the hierarchical linear model for analyzing data from a longitudinal study in athletic training. We discuss the relevant hypotheses, model assumptions, analysis procedures, and output from the HLM 7.0 software. We also examine the advantages and disadvantages of using the hierarchical linear model with repeated measures and repeated-measures analysis of variance for longitudinal data. PMID:25875072

  2. Unsupervised Transient Light Curve Analysis Via Hierarchical Bayesian Inference

    CERN Document Server

    Sanders, Nathan; Soderberg, Alicia

    2014-01-01

    Historically, light curve studies of supernovae (SNe) and other transient classes have focused on individual objects with copious and high signal-to-noise observations. In the nascent era of wide field transient searches, objects with detailed observations are decreasing as a fraction of the overall known SN population, and this strategy sacrifices the majority of the information contained in the data about the underlying population of transients. A population level modeling approach, simultaneously fitting all available observations of objects in a transient sub-class of interest, fully mines the data to infer the properties of the population and avoids certain systematic biases. We present a novel hierarchical Bayesian statistical model for population level modeling of transient light curves, and discuss its implementation using an efficient Hamiltonian Monte Carlo technique. As a test case, we apply this model to the Type IIP SN sample from the Pan-STARRS1 Medium Deep Survey, consisting of 18,837 photometr...

  3. UNSUPERVISED TRANSIENT LIGHT CURVE ANALYSIS VIA HIERARCHICAL BAYESIAN INFERENCE

    Energy Technology Data Exchange (ETDEWEB)

    Sanders, N. E.; Soderberg, A. M. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Betancourt, M., E-mail: nsanders@cfa.harvard.edu [Department of Statistics, University of Warwick, Coventry CV4 7AL (United Kingdom)

    2015-02-10

    Historically, light curve studies of supernovae (SNe) and other transient classes have focused on individual objects with copious and high signal-to-noise observations. In the nascent era of wide field transient searches, objects with detailed observations are decreasing as a fraction of the overall known SN population, and this strategy sacrifices the majority of the information contained in the data about the underlying population of transients. A population level modeling approach, simultaneously fitting all available observations of objects in a transient sub-class of interest, fully mines the data to infer the properties of the population and avoids certain systematic biases. We present a novel hierarchical Bayesian statistical model for population level modeling of transient light curves, and discuss its implementation using an efficient Hamiltonian Monte Carlo technique. As a test case, we apply this model to the Type IIP SN sample from the Pan-STARRS1 Medium Deep Survey, consisting of 18,837 photometric observations of 76 SNe, corresponding to a joint posterior distribution with 9176 parameters under our model. Our hierarchical model fits provide improved constraints on light curve parameters relevant to the physical properties of their progenitor stars relative to modeling individual light curves alone. Moreover, we directly evaluate the probability for occurrence rates of unseen light curve characteristics from the model hyperparameters, addressing observational biases in survey methodology. We view this modeling framework as an unsupervised machine learning technique with the ability to maximize scientific returns from data to be collected by future wide field transient searches like LSST.

  4. Genomic analysis of the hierarchical structure of regulatory networks

    Science.gov (United States)

    Yu, Haiyuan; Gerstein, Mark

    2006-01-01

    A fundamental question in biology is how the cell uses transcription factors (TFs) to coordinate the expression of thousands of genes in response to various stimuli. The relationships between TFs and their target genes can be modeled in terms of directed regulatory networks. These relationships, in turn, can be readily compared with commonplace “chain-of-command” structures in social networks, which have characteristic hierarchical layouts. Here, we develop algorithms for identifying generalized hierarchies (allowing for various loop structures) and use these approaches to illuminate extensive pyramid-shaped hierarchical structures existing in the regulatory networks of representative prokaryotes (Escherichia coli) and eukaryotes (Saccharomyces cerevisiae), with most TFs at the bottom levels and only a few master TFs on top. These masters are situated near the center of the protein–protein interaction network, a different type of network from the regulatory one, and they receive most of the input for the whole regulatory hierarchy through protein interactions. Moreover, they have maximal influence over other genes, in terms of affecting expression-level changes. Surprisingly, however, TFs at the bottom of the regulatory hierarchy are more essential to the viability of the cell. Finally, one might think master TFs achieve their wide influence through directly regulating many targets, but TFs with most direct targets are in the middle of the hierarchy. We find, in fact, that these midlevel TFs are “control bottlenecks” in the hierarchy, and this great degree of control for “middle managers” has parallels in efficient social structures in various corporate and governmental settings. PMID:17003135

  5. Meta-Analysis in Higher Education: An Illustrative Example Using Hierarchical Linear Modeling

    Science.gov (United States)

    Denson, Nida; Seltzer, Michael H.

    2011-01-01

    The purpose of this article is to provide higher education researchers with an illustrative example of meta-analysis utilizing hierarchical linear modeling (HLM). This article demonstrates the step-by-step process of meta-analysis using a recently-published study examining the effects of curricular and co-curricular diversity activities on racial…

  6. Meta-Analysis in Higher Education: An Illustrative Example Using Hierarchical Linear Modeling

    Science.gov (United States)

    Denson, Nida; Seltzer, Michael H.

    2011-01-01

    The purpose of this article is to provide higher education researchers with an illustrative example of meta-analysis utilizing hierarchical linear modeling (HLM). This article demonstrates the step-by-step process of meta-analysis using a recently-published study examining the effects of curricular and co-curricular diversity activities on racial…

  7. Augmenting Visual Analysis in Single-Case Research with Hierarchical Linear Modeling

    Science.gov (United States)

    Davis, Dawn H.; Gagne, Phill; Fredrick, Laura D.; Alberto, Paul A.; Waugh, Rebecca E.; Haardorfer, Regine

    2013-01-01

    The purpose of this article is to demonstrate how hierarchical linear modeling (HLM) can be used to enhance visual analysis of single-case research (SCR) designs. First, the authors demonstrated the use of growth modeling via HLM to augment visual analysis of a sophisticated single-case study. Data were used from a delayed multiple baseline…

  8. Mining Sequential Update Summarization with Hierarchical Text Analysis

    Directory of Open Access Journals (Sweden)

    Chunyun Zhang

    2016-01-01

    Full Text Available The outbreak of unexpected news events such as large human accident or natural disaster brings about a new information access problem where traditional approaches fail. Mostly, news of these events shows characteristics that are early sparse and later redundant. Hence, it is very important to get updates and provide individuals with timely and important information of these incidents during their development, especially when being applied in wireless and mobile Internet of Things (IoT. In this paper, we define the problem of sequential update summarization extraction and present a new hierarchical update mining system which can broadcast with useful, new, and timely sentence-length updates about a developing event. The new system proposes a novel method, which incorporates techniques from topic-level and sentence-level summarization. To evaluate the performance of the proposed system, we apply it to the task of sequential update summarization of temporal summarization (TS track at Text Retrieval Conference (TREC 2013 to compute four measurements of the update mining system: the expected gain, expected latency gain, comprehensiveness, and latency comprehensiveness. Experimental results show that our proposed method has good performance.

  9. Category theoretic analysis of hierarchical protein materials and social networks

    CERN Document Server

    Spivak, David I; Buehler, Markus J

    2011-01-01

    Materials in biology span all the scales from Angstroms to meters and typically consist of complex hierarchical assemblies of simple building blocks. Here we review an application of category theory to describe structural and resulting functional properties of biological protein materials by developing so-called ologs. An olog is like a "concept web" or "semantic network" except that it follows a rigorous mathematical formulation based on category theory. This key difference ensures that an olog is unambiguous, highly adaptable to evolution and change, and suitable for sharing concepts with other ologs. We consider a simple example of an alpha-helical and an amyloid-like protein filament subjected to axial extension and develop an olog representation of their structural and resulting mechanical properties. We also construct a representation of a social network in which people send text-messages to their nearest neighbors and act as a team to perform a task. We show that the olog for the protein and the olog f...

  10. TV content analysis techniques and applications

    CERN Document Server

    Kompatsiaris, Yiannis

    2012-01-01

    The rapid advancement of digital multimedia technologies has not only revolutionized the production and distribution of audiovisual content, but also created the need to efficiently analyze TV programs to enable applications for content managers and consumers. Leaving no stone unturned, TV Content Analysis: Techniques and Applications provides a detailed exploration of TV program analysis techniques. Leading researchers and academics from around the world supply scientifically sound treatment of recent developments across the related subject areas--including systems, architectures, algorithms,

  11. Teaching Content Analysis through "Harry Potter"

    Science.gov (United States)

    Messinger, Adam M.

    2012-01-01

    Content analysis is a valuable research tool for social scientists that unfortunately can prove challenging to teach to undergraduate students. Published classroom exercises designed to teach content analysis have thus far been predominantly envisioned as lengthy projects for upper-level courses. A brief and engaging exercise may be more…

  12. Teaching Content Analysis through "Harry Potter"

    Science.gov (United States)

    Messinger, Adam M.

    2012-01-01

    Content analysis is a valuable research tool for social scientists that unfortunately can prove challenging to teach to undergraduate students. Published classroom exercises designed to teach content analysis have thus far been predominantly envisioned as lengthy projects for upper-level courses. A brief and engaging exercise may be more…

  13. Hierarchical Linear Modeling for Analysis of Ecological Momentary Assessment Data in Physical Medicine and Rehabilitation Research.

    Science.gov (United States)

    Terhorst, Lauren; Beck, Kelly Battle; McKeon, Ashlee B; Graham, Kristin M; Ye, Feifei; Shiffman, Saul

    2017-08-01

    Ecological momentary assessment (EMA) methods collect real-time data in real-world environments, which allow physical medicine and rehabilitation researchers to examine objective outcome data and reduces bias from retrospective recall. The statistical analysis of EMA data is directly related to the research question and the temporal design of the study. Hierarchical linear modeling, which accounts for multiple observations from the same participant, is a particularly useful approach to analyzing EMA data. The objective of this paper was to introduce the process of conducting hierarchical linear modeling analyses with EMA data. This is accomplished using exemplars from recent physical medicine and rehabilitation literature.

  14. A combined multidimensional scaling and hierarchical clustering view for the exploratory analysis of multidimensional data

    Science.gov (United States)

    Craig, Paul; Roa-Seïler, Néna

    2013-01-01

    This paper describes a novel information visualization technique that combines multidimensional scaling and hierarchical clustering to support the exploratory analysis of multidimensional data. The technique displays the results of multidimensional scaling using a scatter plot where the proximity of any two items' representations is approximate to their similarity according to a Euclidean distance metric. The results of hierarchical clustering are overlaid onto this view by drawing smoothed outlines around each nested cluster. The difference in similarity between successive cluster combinations is used to colour code clusters and make stronger natural clusters more prominent in the display. When a cluster or group of items is selected, multidimensional scaling and hierarchical clustering are re-applied to a filtered subset of the data, and animation is used to smooth the transition between successive filtered views. As a case study we demonstrate the technique being used to analyse survey data relating to the appropriateness of different phrases to different emotionally charged situations.

  15. Mean-field analysis of phase transitions in the emergence of hierarchical society

    Science.gov (United States)

    Okubo, Tsuyoshi; Odagaki, Takashi

    2007-09-01

    Emergence of hierarchical society is analyzed by use of a simple agent-based model. We extend the mean-field model of Bonabeau [Physica A 217, 373 (1995)] to societies obeying complex diffusion rules where each individual selects a moving direction following their power rankings. We apply this mean-field analysis to the pacifist society model recently investigated by use of Monte Carlo simulation [Physica A 367, 435 (2006)]. We show analytically that the self-organization of hierarchies occurs in two steps as the individual density is increased and there are three phases: one egalitarian and two hierarchical states. We also highlight that the transition from the egalitarian phase to the first hierarchical phase is a continuous change in the order parameter and the second transition causes a discontinuous jump in the order parameter.

  16. "Sentido de Pertenencia": A Hierarchical Analysis Predicting Sense of Belonging among Latino College Students

    Science.gov (United States)

    Strayhorn, Terrell Lamont

    2008-01-01

    The present study estimated the influence of academic and social collegiate experiences on Latino students' sense of belonging, controlling for background differences, using hierarchical analysis techniques with a nested design. In addition, results were compared between Latino students and their White counterparts. Findings reveal that grades,…

  17. A Hierarchical Linear Model with Factor Analysis Structure at Level 2

    Science.gov (United States)

    Miyazaki, Yasuo; Frank, Kenneth A.

    2006-01-01

    In this article the authors develop a model that employs a factor analysis structure at Level 2 of a two-level hierarchical linear model (HLM). The model (HLM2F) imposes a structure on a deficient rank Level 2 covariance matrix [tau], and facilitates estimation of a relatively large [tau] matrix. Maximum likelihood estimators are derived via the…

  18. Visual Analysis of Weblog Content

    Energy Technology Data Exchange (ETDEWEB)

    McColgin, David W.; Cramer, Nicholas O.; Gregory, Michelle L.; Payne, Deborah A.; Love, Douglas V.

    2007-03-26

    ABSTRACT In this demo we present an analytic tool that provides a comprehensive approach to weblog analysis. We have combined ingest tools that have been designed to work with the special characteristics of blog data with a mature visual analytic tool designed for in-depth document analysis. Using a subset of the Buzz Metrics data, we demonstrate how this combination of tools provides users with the capability to analyze blogs in multiple languages, investigate changes over time, and investigate the affect of blogs.

  19. HIERARCHICAL ADAPTIVE ROOD PATTERN SEARCH FOR MOTION ESTIMATION AT VIDEO SEQUENCE ANALYSIS

    Directory of Open Access Journals (Sweden)

    V. T. Nguyen

    2016-05-01

    Full Text Available Subject of Research.The paper deals with the motion estimation algorithms for the analysis of video sequences in compression standards MPEG-4 Visual and H.264. Anew algorithm has been offered based on the analysis of the advantages and disadvantages of existing algorithms. Method. Thealgorithm is called hierarchical adaptive rood pattern search (Hierarchical ARPS, HARPS. This new algorithm includes the classic adaptive rood pattern search ARPS and hierarchical search MP (Hierarchical search or Mean pyramid. All motion estimation algorithms have been implemented using MATLAB package and tested with several video sequences. Main Results. The criteria for evaluating the algorithms were: speed, peak signal to noise ratio, mean square error and mean absolute deviation. The proposed method showed a much better performance at a comparable error and deviation. The peak signal to noise ratio in different video sequences shows better and worse results than characteristics of known algorithms so it requires further investigation. Practical Relevance. Application of this algorithm in MPEG-4 and H.264 codecs instead of the standard can significantly reduce compression time. This feature enables to recommend it in telecommunication systems for multimedia data storing, transmission and processing.

  20. Hierarchical Cluster Analysis: Comparison of Three Linkage Measures and Application to Psychological Data

    Directory of Open Access Journals (Sweden)

    Odilia Yim

    2015-02-01

    Full Text Available Cluster analysis refers to a class of data reduction methods used for sorting cases, observations, or variables of a given dataset into homogeneous groups that differ from each other. The present paper focuses on hierarchical agglomerative cluster analysis, a statistical technique where groups are sequentially created by systematically merging similar clusters together, as dictated by the distance and linkage measures chosen by the researcher. Specific distance and linkage measures are reviewed, including a discussion of how these choices can influence the clustering process by comparing three common linkage measures (single linkage, complete linkage, average linkage. The tutorial guides researchers in performing a hierarchical cluster analysis using the SPSS statistical software. Through an example, we demonstrate how cluster analysis can be used to detect meaningful subgroups in a sample of bilinguals by examining various language variables.

  1. Seniors' Online Communities: A Quantitative Content Analysis

    Science.gov (United States)

    Nimrod, Galit

    2010-01-01

    Purpose: To examine the contents and characteristics of seniors' online communities and to explore their potential benefits to older adults. Design and Methods: Quantitative content analysis of a full year's data from 14 leading online communities using a novel computerized system. The overall database included 686,283 messages. Results: There was…

  2. Taxonomy of Manufacturing Flexibility at Manufacturing Companies Using Imperialist Competitive Algorithms, Support Vector Machines and Hierarchical Cluster Analysis

    Directory of Open Access Journals (Sweden)

    M. Khoobiyan

    2017-04-01

    Full Text Available Manufacturing flexibility is a multidimensional concept and manufacturing companies act differently in using these dimensions. The purpose of this study is to investigate taxonomy and identify dominant groups of manufacturing flexibility. Dimensions of manufacturing flexibility are extracted by content analysis of literature and expert judgements. Manufacturing flexibility was measured by using a questionnaire developed to survey managers of manufacturing companies. The sample size was set at 379. To identify dominant groups of flexibility based on dimensions of flexibility determined, Hierarchical Cluster Analysis (HCA, Imperialist Competitive Algorithms (ICAs and Support Vector Machines (SVMs were used by cluster validity indices. The best algorithm for clustering was SVMs with three clusters, designated as leading delivery-based flexibility, frugal flexibility and sufficient plan-based flexibility.

  3. Analysis, Retrieval and Delivery of Multimedia Content

    CERN Document Server

    Cavallaro, Andrea; Leonardi, Riccardo; Migliorati, Pierangelo

    2013-01-01

    Covering some of the most cutting-edge research on the delivery and retrieval of interactive multimedia content, this volume of specially chosen contributions provides the most updated perspective on one of the hottest contemporary topics. The material represents extended versions of papers presented at the 11th International Workshop on Image Analysis for Multimedia Interactive Services, a vital international forum on this fast-moving field. Logically organized in discrete sections that approach the subject from its various angles, the content deals in turn with content analysis, motion and activity analysis, high-level descriptors and video retrieval, 3-D and multi-view, and multimedia delivery. The chapters cover the finest detail of emerging techniques such as the use of high-level audio information in improving scene segmentation and the use of subjective logic for forensic visual surveillance. On content delivery, the book examines both images and video, focusing on key subjects including an efficient p...

  4. Fractal analysis of the hierarchic structure of fossil coal surface

    Energy Technology Data Exchange (ETDEWEB)

    Alekseev, A.D.; Vasilenko, T.A.; Kirillov, A.K. [National Academy of Sciences, Donetsk (Ukraine)

    2008-05-15

    The fractal analysis is described as method of studying images of surface of fossil coal, one of the natural sorbent, with the aim of determining its structural surface heterogeneity. The deformation effect as a reduction in the dimensions of heterogeneity boundaries is considered. It is shown that the theory of nonequilibrium dynamic systems permits to assess a formation level of heterogeneities involved into a sorbent composition by means of the Hurst factor.

  5. Hierarchical cluster analysis of progression patterns in open-angle glaucoma patients with medical treatment.

    Science.gov (United States)

    Bae, Hyoung Won; Rho, Seungsoo; Lee, Hye Sun; Lee, Naeun; Hong, Samin; Seong, Gong Je; Sung, Kyung Rim; Kim, Chan Yun

    2014-04-29

    To classify medically treated open-angle glaucoma (OAG) by the pattern of progression using hierarchical cluster analysis, and to determine OAG progression characteristics by comparing clusters. Ninety-five eyes of 95 OAG patients who received medical treatment, and who had undergone visual field (VF) testing at least once per year for 5 or more years. OAG was classified into subgroups using hierarchical cluster analysis based on the following five variables: baseline mean deviation (MD), baseline visual field index (VFI), MD slope, VFI slope, and Glaucoma Progression Analysis (GPA) printout. After that, other parameters were compared between clusters. Two clusters were made after a hierarchical cluster analysis. Cluster 1 showed -4.06 ± 2.43 dB baseline MD, 92.58% ± 6.27% baseline VFI, -0.28 ± 0.38 dB per year MD slope, -0.52% ± 0.81% per year VFI slope, and all "no progression" cases in GPA printout, whereas cluster 2 showed -8.68 ± 3.81 baseline MD, 77.54 ± 12.98 baseline VFI, -0.72 ± 0.55 MD slope, -2.22 ± 1.89 VFI slope, and seven "possible" and four "likely" progression cases in GPA printout. There were no significant differences in age, sex, mean IOP, central corneal thickness, and axial length between clusters. However, cluster 2 included more high-tension glaucoma patients and used a greater number of antiglaucoma eye drops significantly compared with cluster 1. Hierarchical cluster analysis of progression patterns divided OAG into slow and fast progression groups, evidenced by assessing the parameters of glaucomatous progression in VF testing. In the fast progression group, the prevalence of high-tension glaucoma was greater and the number of antiglaucoma medications administered was increased versus the slow progression group. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.

  6. Content Analysis in Systems Engineering Acquisition Activities

    Science.gov (United States)

    2016-04-30

    quantitative and qualitative methods exist to (1) capture or generate data needed for a particular analysis, (2) reduce the data, (3) evaluate the data to...presented in this report was supported by the Acquisition Research Program of the Graduate School of Business & Public Policy at the Naval...analysis in systems engineering technical evaluation processes. Content analysis is a qualitative data analysis methodology used to discover

  7. Implementation of Hierarchical Task Analysis for User Interface Design in Drawing Application for Early Childhood Education

    National Research Council Canada - National Science Library

    Mira Kania Sabariah; Veronikha Effendy; Muhamad Fachmi Ichsan

    2016-01-01

    ... of learning and characteristics of early childhood (4-6 years). Based on the results, Hierarchical Task Analysis method generated a list of tasks that must be done in designing an user interface that represents the user experience in draw learning. Then by using the Heuristic Evaluation method the usability of the model has fulfilled a very good level of understanding and also it can be enhanced and produce a better model.

  8. Discontent with content analysis of online transcripts

    Directory of Open Access Journals (Sweden)

    Judith Guevarra Enriquez

    2009-12-01

    Full Text Available Content analysis has dominated computer-mediated communication and educational technology studies for some time, and a review of its practices applied to online corpus of data or messages is overdue. We are confronted with complexity given the various foci, nuances and models for theorising learning and applying methods. One common suggestion to deal with the complexity in content analysis is a call for standardisation by replication or systematic research studies. This article presents its ‘discontent' with content analysis, discussing the issues and concerns that surround the analysis of online transcripts. It does not attempt to resolve nor provide a definitive answer. Instead, it is an open inquiry into another way of looking at online content. It presents an alternative or perhaps an extension of what we have come to know as content analysis. It argues for the notion of genres as another way of conceptualising online transcripts. It proposes two things: first that in performing transcript analysis, it is worthwhile to think how messages relate to a system of interactions that persists even beyond the online environment; secondly, there is an emergent and recurring metastructuring that is at work in online environments that is worth exploring, instead of imposing structures – models and frameworks that do not fit the emerging communicative practices of participants.

  9. Design And Analysis Of Low Power Hierarchical Decoder

    Directory of Open Access Journals (Sweden)

    Abhinav Singh

    2012-11-01

    Full Text Available Due to the high degree of miniaturization possible today in semiconductor technology, the size and complexity of designs that may be implemented in hardware has increased dramatically. Process scaling has been used in the miniaturization process to reduce the area needed for logic functions in an effort to lower the product costs. Precharged Complementary Metal Oxide Semiconductor (CMOS domino logic techniques may be applied to functional blocks to reduce power. Domino logic forms an attractive design style for high performance designs since its low switching threshold and reduced transistor count leads to fast and area efficient circuit implementations. In this paper all the necessary components required to form a 5-to-32 bit decoder using domino logic are designed to perform different analysis at 180nm & 350 nm technologies. Decoderimplemented through domino logic is compared to static decoder.

  10. Periorbital melasma: Hierarchical cluster analysis of clinical features in Asian patients.

    Science.gov (United States)

    Jung, Y S; Bae, J M; Kim, B J; Kang, J-S; Cho, S B

    2017-03-19

    Studies have shown melasma lesions to be distributed across the face in centrofacial, malar, and mandibular patterns. Meanwhile, however, melasma lesions of the periorbital area have yet to be thoroughly described. We analyzed normal and ultraviolet light-exposed photographs of patients with melasma. The periorbital melasma lesions were measured according to anatomical reference points and a hierarchical cluster analysis was performed. The periorbital melasma lesions showed clinical features of fine and homogenous melasma pigmentation, involving both the upper and lower eyelids that extended to other anatomical sites with a darker and coarser appearance. The hierarchical cluster analysis indicated that patients with periorbital melasma can be categorized into two clusters according to the surface anatomy of the face. Significant differences between cluster 1 and cluster 2 were found in lateral distance and inferolateral distance, but not in medial distance and superior distance. Comparing the two clusters, patients in cluster 2 were found to be significantly older and more commonly accompanied by melasma lesions of the temple and medial cheek. Our hierarchical cluster analysis of periorbital melasma lesions demonstrated that Asian patients with periorbital melasma can be categorized into two clusters according to the surface anatomy of the face. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  11. Analysis of Energy Optimized Hierarchical Routing Protocols in WSN

    Directory of Open Access Journals (Sweden)

    Er. Shelly Jain

    2013-05-01

    Full Text Available Modern wireless sensor network can be expanded into large geographical areas via cheap sensor devices which can sustain themselves with limited energy and developing an energy efficient protocol is a major challenge. Currently, routing in the wireless sensor network faces multiple challenges, such as new scalability, coverage, packet loss, interference, real-time audio and real time video streaming, weather reports, energy constraints and so forth. Clustering sensor nodes is an effective topology control approach. LEACH is an energy efficient clustering protocol because of its nodes distribution capabilities but still it has limitations because it leads to uneven energy distribution. PEGASIS is an enhancement of LEACH using chain-based technique to optimize the energy consumption. This protocol also has certain disadvantages like delays in larger networks etc. HEED is an advanced version of protocol which removes the disadvantages of LEACH and PEGASIS by using distributed algorithm for selecting the cluster heads (CH. It does not make any assumptions about the infrastructure or capabilities of nodes. LEACH, PEGASIS and HEED routing algorithms are compared using Matlab simulation on a Wi-Max network and the results & analysis are based upon the simulation experiments. Simulation results demonstrate that HEED is effective in prolonging the network lifetime and also overcomes the disadvantages of both LEACH & PEGASIS

  12. Statistical mechanical analysis of a hierarchical random code ensemble in signal processing

    Energy Technology Data Exchange (ETDEWEB)

    Obuchi, Tomoyuki [Department of Earth and Space Science, Faculty of Science, Osaka University, Toyonaka 560-0043 (Japan); Takahashi, Kazutaka [Department of Physics, Tokyo Institute of Technology, Tokyo 152-8551 (Japan); Takeda, Koujin, E-mail: takeda@sp.dis.titech.ac.jp [Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama 226-8502 (Japan)

    2011-02-25

    We study a random code ensemble with a hierarchical structure, which is closely related to the generalized random energy model with discrete energy values. Based on this correspondence, we analyze the hierarchical random code ensemble by using the replica method in two situations: lossy data compression and channel coding. For both the situations, the exponents of large deviation analysis characterizing the performance of the ensemble, the distortion rate of lossy data compression and the error exponent of channel coding in Gallager's formalism, are accessible by a generating function of the generalized random energy model. We discuss that the transitions of those exponents observed in the preceding work can be interpreted as phase transitions with respect to the replica number. We also show that the replica symmetry breaking plays an essential role in these transitions.

  13. Monitoring Post Disturbance Forest Regeneration with Hierarchical Object-Based Image Analysis

    Directory of Open Access Journals (Sweden)

    L. Monika Moskal

    2013-10-01

    Full Text Available The main goal of this exploratory project was to quantify seedling density in post fire regeneration sites, with the following objectives: to evaluate the application of second order image texture (SOIT in image segmentation, and to apply the object-based image analysis (OBIA approach to develop a hierarchical classification. With the utilization of image texture we successfully developed a methodology to classify hyperspatial (high-spatial imagery to fine detail level of tree crowns, shadows and understory, while still allowing discrimination between density classes and mature forest versus burn classes. At the most detailed hierarchical Level I classification accuracies reached 78.8%, a Level II stand density classification produced accuracies of 89.1% and the same accuracy was achieved by the coarse general classification at Level III. Our interpretation of these results suggests hyperspatial imagery can be applied to post-fire forest density and regeneration mapping.

  14. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling.

    Science.gov (United States)

    Cressie, Noel; Calder, Catherine A; Clark, James S; Ver Hoef, Jay M; Wikle, Christopher K

    2009-04-01

    Analyses of ecological data should account for the uncertainty in the process(es) that generated the data. However, accounting for these uncertainties is a difficult task, since ecology is known for its complexity. Measurement and/or process errors are often the only sources of uncertainty modeled when addressing complex ecological problems, yet analyses should also account for uncertainty in sampling design, in model specification, in parameters governing the specified model, and in initial and boundary conditions. Only then can we be confident in the scientific inferences and forecasts made from an analysis. Probability and statistics provide a framework that accounts for multiple sources of uncertainty. Given the complexities of ecological studies, the hierarchical statistical model is an invaluable tool. This approach is not new in ecology, and there are many examples (both Bayesian and non-Bayesian) in the literature illustrating the benefits of this approach. In this article, we provide a baseline for concepts, notation, and methods, from which discussion on hierarchical statistical modeling in ecology can proceed. We have also planted some seeds for discussion and tried to show where the practical difficulties lie. Our thesis is that hierarchical statistical modeling is a powerful way of approaching ecological analysis in the presence of inevitable but quantifiable uncertainties, even if practical issues sometimes require pragmatic compromises.

  15. Diversity of Xiphinema americanum-group Species and Hierarchical Cluster Analysis of Morphometrics.

    Science.gov (United States)

    Lamberti, F; Ciancio, A

    1993-09-01

    Of the 39 species composing the Xiphinema americanum group, 14 were described originally from North America and two others have been reported from this region. Many species are very similar morphologically and can be distinguished only by a difficult comparison of various combinations of some morphometric characters. Study of morphometrics of 49 populations, including the type populations of the 39 species attributed to this group, by principal component analysis and hierarchical cluster analysis placed the populations into five subgroups, proposed here as the X. brevicolle subgroup (seven species), the X. americanum subgroup (17 species), the X. taylori subgroup (two species), the X. pachtaicum subgroup (eight species), and the X. lambertii subgroup (five species).

  16. Mapping informative clusters in a hierarchical [corrected] framework of FMRI multivariate analysis.

    Directory of Open Access Journals (Sweden)

    Rui Xu

    Full Text Available Pattern recognition methods have become increasingly popular in fMRI data analysis, which are powerful in discriminating between multi-voxel patterns of brain activities associated with different mental states. However, when they are used in functional brain mapping, the location of discriminative voxels varies significantly, raising difficulties in interpreting the locus of the effect. Here we proposed a hierarchical framework of multivariate approach that maps informative clusters rather than voxels to achieve reliable functional brain mapping without compromising the discriminative power. In particular, we first searched for local homogeneous clusters that consisted of voxels with similar response profiles. Then, a multi-voxel classifier was built for each cluster to extract discriminative information from the multi-voxel patterns. Finally, through multivariate ranking, outputs from the classifiers were served as a multi-cluster pattern to identify informative clusters by examining interactions among clusters. Results from both simulated and real fMRI data demonstrated that this hierarchical approach showed better performance in the robustness of functional brain mapping than traditional voxel-based multivariate methods. In addition, the mapped clusters were highly overlapped for two perceptually equivalent object categories, further confirming the validity of our approach. In short, the hierarchical framework of multivariate approach is suitable for both pattern classification and brain mapping in fMRI studies.

  17. Improving Hierarchical Models Using Historical Data with Applications in High-Throughput Genomics Data Analysis.

    Science.gov (United States)

    Li, Ben; Li, Yunxiao; Qin, Zhaohui S

    2017-06-01

    Modern high-throughput biotechnologies such as microarray and next generation sequencing produce a massive amount of information for each sample assayed. However, in a typical high-throughput experiment, only limited amount of data are observed for each individual feature, thus the classical 'large p, small n' problem. Bayesian hierarchical model, capable of borrowing strength across features within the same dataset, has been recognized as an effective tool in analyzing such data. However, the shrinkage effect, the most prominent feature of hierarchical features, can lead to undesirable over-correction for some features. In this work, we discuss possible causes of the over-correction problem and propose several alternative solutions. Our strategy is rooted in the fact that in the Big Data era, large amount of historical data are available which should be taken advantage of. Our strategy presents a new framework to enhance the Bayesian hierarchical model. Through simulation and real data analysis, we demonstrated superior performance of the proposed strategy. Our new strategy also enables borrowing information across different platforms which could be extremely useful with emergence of new technologies and accumulation of data from different platforms in the Big Data era. Our method has been implemented in R package "adaptiveHM", which is freely available from https://github.com/benliemory/adaptiveHM.

  18. Content Analysis of Block Play Literature.

    Science.gov (United States)

    Conrad, Annabel

    This study examined research on children's block play, using content analysis to review 75 documents that focused on such play. Each document was coded by type (empirical study or nonempirical article) and by 15 topics and 76 subtopics grouped into 4 broad categories: (1) environment/ecology; (2) block play and the school curriculum; (3) block…

  19. Discontent with Content Analysis of Online Transcripts

    Science.gov (United States)

    Enriquez, Judith Guevarra

    2009-01-01

    Content analysis has dominated computer-mediated communication and educational technology studies for some time, and a review of its practices applied to online corpus of data or messages is overdue. We are confronted with complexity given the various foci, nuances and models for theorising learning and applying methods. One common suggestion to…

  20. Rogers, Lazarus, and Shostrom in Content Analysis.

    Science.gov (United States)

    O'Dell, Jerry W.; Bahmer, Alma J.

    1981-01-01

    Subjected Shostrom's films of Rogers, Lazarus, and Shostrom working with a patient to a content analysis using the system developed by Zimmer and Cowles. Differences in verbal activity on the part of therapist and patient were noted, appearing consistent with the principles of the various therapies. (Author)

  1. Insights into the hierarchical structure and digestion rate of alkali-modulated starches with different amylose contents.

    Science.gov (United States)

    Qiao, Dongling; Yu, Long; Liu, Hongsheng; Zou, Wei; Xie, Fengwei; Simon, George; Petinakis, Eustathios; Shen, Zhiqi; Chen, Ling

    2016-06-25

    Combined analytical techniques were used to explore the effects of alkali treatment on the multi-scale structure and digestion behavior of starches with different amylose/amylopectin ratios. Alkali treatment disrupted the amorphous matrix, and partial lamellae and crystallites, which weakened starch molecular packing and eventually enhanced the susceptibility of starch to alkali. Stronger alkali treatment (0.5% w/w) made this effect more prominent and even transformed the dual-phase digestion of starch into a triple-phase pattern. Compared with high-amylose starch, regular maize starch, which possesses some unique structure characteristics typically as pores and crystallite weak points, showed evident changes of hierarchical structure and in digestion rate. Thus, alkali treatment has been demonstrated as a simple method to modulate starch hierarchical structure and thus to realize the rational development of starch-based food products with desired digestibility.

  2. Hierarchical Direct Time Integration Method and Adaptive Procedure for Dynamic Analysis

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    New hierarchical direct time integration method for structural dynamic analysis is developed by using Taylor series expansions in each time step. Very accurate results can be obtained by increasing the order of the Taylor series. Furthermore, the local error can be estimated by simply comparing the solutions obtained by the proposed method with the higher order solutions. This local estimate is then used to develop an adaptive order-control technique. Numerical examples are given to illustrate the performance of the present method and its adaptive procedure.

  3. Automation of control and analysis of execution of official duties and instructions in the hierarchical organization

    Directory of Open Access Journals (Sweden)

    Demchenko A.I.

    2017-01-01

    Full Text Available The article considers the problem of monitoring over execution of official duties of employees. This problem is characteristic of the enterprises having a hierarchical management structure. The functions and the modes of monitoring are defined, the types of analysis of the staff activities are provided. The description of the program complex allowing distributing functions and instructions for between the employees is given. The developed computer program allows tracking the performance, creating reports. The computer program has a demarcation of access rights and provides the can be operated in both local, and a large-scale network.

  4. [Preliminarily application of content analysis to qualitative nursing data].

    Science.gov (United States)

    Liang, Shu-Yuan; Chuang, Yeu-Hui; Wu, Shu-Fang

    2012-10-01

    Content analysis is a methodology for objectively and systematically studying the content of communication in various formats. Content analysis in nursing research and nursing education is called qualitative content analysis. Qualitative content analysis is frequently applied to nursing research, as it allows researchers to determine categories inductively and deductively. This article examines qualitative content analysis in nursing research from theoretical and practical perspectives. We first describe how content analysis concepts such as unit of analysis, meaning unit, code, category, and theme are used. Next, we describe the basic steps involved in using content analysis, including data preparation, data familiarization, analysis unit identification, creating tentative coding categories, category refinement, and establishing category integrity. Finally, this paper introduces the concept of content analysis rigor, including dependability, confirmability, credibility, and transferability. This article elucidates the content analysis method in order to help professionals conduct systematic research that generates data that are informative and useful in practical application.

  5. Heavy Sexual Content Versus Safer Sex Content: A Content Analysis of the Entertainment Education Drama Shuga.

    Science.gov (United States)

    Booker, Nancy Achieng'; Miller, Ann Neville; Ngure, Peter

    2016-12-01

    Extremely popular with Kenyan youth, the entertainment-education drama Shuga was designed with specific goals of promoting condom use, single versus multiple sexual partners, and destigmatization of HIV. Almost as soon as it aired, however, it generated controversy due to its extensive sexual themes and relatively explicit portrayal of sexual issues. To determine how safer sex, antistigma messages, and overall sexual content were integrated into Shuga, we conducted a content analysis. Results indicated that condom use and HIV destigmatization messages were frequently and clearly communicated. Negative consequences for risky sexual behavior were communicated over the course of the entire series. Messages about multiple concurrent partnerships were not evident. In addition, in terms of scenes per hour of programming, Shuga had 10.3 times the amount of sexual content overall, 8.2 times the amount of sexual talk, 17.8 times the amount of sexual behavior, and 9.4 times the amount of sexual intercourse as found in previous analysis of U.S. entertainment programming. Research is needed to determine how these factors may interact to influence adolescent viewers of entertainment education dramas.

  6. PIT Overload Analysis in Content Centric Networks

    OpenAIRE

    Virgilio, Matteo; Marchetto, Guido; Sisto, Riccardo

    2013-01-01

    Content Centric Networking represents a paradigm shift in the evolution and definition of modern network protocols. Many research efforts have been made with the purpose of proving the feasibility and the scalability of this proposal. Our main contribution is to provide an analysis of the Pending Interest Table memory requirements in real deployment scenarios, especially considering the impact of distributed denial of service attacks. In fact, the state that the protocol maintains for each re...

  7. A Content Analysis of Defense Budget Rhetoric

    Science.gov (United States)

    2011-06-01

    President’s budget. 14. SUBJECT TERMS Defense Budget, Content Analysis, Political Discourse, Budget Rhetoric, Political Communication , Senate Armed...represent the most recent paradigm shift in political communication research (Scheufele & Tewksbury, 2007, p. 10). These three models combine to construct...this study was to fill the gap on political communication by examining whether Congress was responsive to framing by the President’s budget. To

  8. Independent component analysis for understanding multimedia content

    DEFF Research Database (Denmark)

    Kolenda, Thomas; Hansen, Lars Kai; Larsen, Jan

    2002-01-01

    Independent component analysis of combined text and image data from Web pages has potential for search and retrieval applications by providing more meaningful and context dependent content. It is demonstrated that ICA of combined text and image features has a synergistic effect, i.e., the retrieval...... classification rates increase if based on multimedia components relative to single media analysis. For this purpose a simple probabilistic supervised classifier which works from unsupervised ICA features is invoked. In addition, we demonstrate the suggested framework for automatic annotation of descriptive key...

  9. Fanpage metrics analysis. "Study on content engagement"

    Science.gov (United States)

    Rahman, Zoha; Suberamanian, Kumaran; Zanuddin, Hasmah Binti; Moghavvemi, Sedigheh; Nasir, Mohd Hairul Nizam Bin Md

    2016-08-01

    Social Media is now determined as an excellent communicative tool to connect directly with consumers. One of the most significant ways to connect with the consumers through these Social Networking Sites (SNS) is to create a facebook fanpage with brand contents and to place different posts periodically on these fanpages. In measuring social networking sites' effectiveness, corporate houses are now analyzing metrics in terms of calculating engagement rate, number of comments/share and likings in fanpages. So now, it is very important for the marketers to know the effectiveness of different contents or posts of fanpages in order to increase the fan responsiveness and engagement rate in the fan pages. In the study the authors have analyzed total 1834 brand posts from 17 international brands of Electronics companies. Data of 9 months (From December 2014 to August 2015) have been collected for analyses, which were available online in the Brand' fan pages. An econometrics analysis is conducted using Eviews 9, to determine the impact of different contents on fanpage engagement. The study picked the four most frequently posted content to determine their impact on PTA (people Talking About) metrics and Fanpage engagement activities.

  10. Hierarchical modeling for reliability analysis using Markov models. B.S./M.S. Thesis - MIT

    Science.gov (United States)

    Fagundo, Arturo

    1994-01-01

    Markov models represent an extremely attractive tool for the reliability analysis of many systems. However, Markov model state space grows exponentially with the number of components in a given system. Thus, for very large systems Markov modeling techniques alone become intractable in both memory and CPU time. Often a particular subsystem can be found within some larger system where the dependence of the larger system on the subsystem is of a particularly simple form. This simple dependence can be used to decompose such a system into one or more subsystems. A hierarchical technique is presented which can be used to evaluate these subsystems in such a way that their reliabilities can be combined to obtain the reliability for the full system. This hierarchical approach is unique in that it allows the subsystem model to pass multiple aggregate state information to the higher level model, allowing more general systems to be evaluated. Guidelines are developed to assist in the system decomposition. An appropriate method for determining subsystem reliability is also developed. This method gives rise to some interesting numerical issues. Numerical error due to roundoff and integration are discussed at length. Once a decomposition is chosen, the remaining analysis is straightforward but tedious. However, an approach is developed for simplifying the recombination of subsystem reliabilities. Finally, a real world system is used to illustrate the use of this technique in a more practical context.

  11. Principal component analysis vs. self-organizing maps combined with hierarchical clustering for pattern recognition in volcano seismic spectra

    Science.gov (United States)

    Unglert, K.; Radić, V.; Jellinek, A. M.

    2016-06-01

    Variations in the spectral content of volcano seismicity related to changes in volcanic activity are commonly identified manually in spectrograms. However, long time series of monitoring data at volcano observatories require tools to facilitate automated and rapid processing. Techniques such as self-organizing maps (SOM) and principal component analysis (PCA) can help to quickly and automatically identify important patterns related to impending eruptions. For the first time, we evaluate the performance of SOM and PCA on synthetic volcano seismic spectra constructed from observations during two well-studied eruptions at Klauea Volcano, Hawai'i, that include features observed in many volcanic settings. In particular, our objective is to test which of the techniques can best retrieve a set of three spectral patterns that we used to compose a synthetic spectrogram. We find that, without a priori knowledge of the given set of patterns, neither SOM nor PCA can directly recover the spectra. We thus test hierarchical clustering, a commonly used method, to investigate whether clustering in the space of the principal components and on the SOM, respectively, can retrieve the known patterns. Our clustering method applied to the SOM fails to detect the correct number and shape of the known input spectra. In contrast, clustering of the data reconstructed by the first three PCA modes reproduces these patterns and their occurrence in time more consistently. This result suggests that PCA in combination with hierarchical clustering is a powerful practical tool for automated identification of characteristic patterns in volcano seismic spectra. Our results indicate that, in contrast to PCA, common clustering algorithms may not be ideal to group patterns on the SOM and that it is crucial to evaluate the performance of these tools on a control dataset prior to their application to real data.

  12. Extending hierarchical task analysis to identify cognitive demands and information design requirements.

    Science.gov (United States)

    Phipps, Denham L; Meakin, George H; Beatty, Paul C W

    2011-07-01

    While hierarchical task analysis (HTA) is well established as a general task analysis method, there appears a need to make more explicit both the cognitive elements of a task and design requirements that arise from an analysis. One way of achieving this is to make use of extensions to the standard HTA. The aim of the current study is to evaluate the use of two such extensions--the sub-goal template (SGT) and the skills-rules-knowledge (SRK) framework--to analyse the cognitive activity that takes place during the planning and delivery of anaesthesia. In quantitative terms, the two methods were found to have relatively poor inter-rater reliability; however, qualitative evidence suggests that the two methods were nevertheless of value in generating insights about anaesthetists' information handling and cognitive performance. Implications for the use of an extended HTA to analyse work systems are discussed.

  13. An exploratory analysis of treatment completion and client and organizational factors using hierarchical linear modeling.

    Science.gov (United States)

    Woodward, Albert; Das, Abhik; Raskin, Ira E; Morgan-Lopez, Antonio A

    2006-11-01

    Data from the Alcohol and Drug Services Study (ADSS) are used to analyze the structure and operation of the substance abuse treatment industry in the United States. Published literature contains little systematic empirical analysis of the interaction between organizational characteristics and treatment outcomes. This paper addresses that deficit. It develops and tests a hierarchical linear model (HLM) to address questions about the empirical relationship between treatment inputs (industry costs, types and use of counseling and medical personnel, diagnosis mix, patient demographics, and the nature and level of services used in substance abuse treatment), and patient outcomes (retention and treatment completion rates). The paper adds to the literature by demonstrating a direct and statistically significant link between treatment completion and the organizational and staffing structure of the treatment setting. Related reimbursement issues, questions for future analysis, and limitations of the ADSS for this analysis are discussed.

  14. Two-dimensional finite element neutron diffusion analysis using hierarchic shape functions

    Energy Technology Data Exchange (ETDEWEB)

    Carpenter, D.C.

    1997-04-01

    Recent advances have been made in the use of p-type finite element method (FEM) for structural and fluid dynamics problems that hold promise for reactor physics problems. These advances include using hierarchic shape functions, element-by-element iterative solvers and more powerful mapping techniques. Use of the hierarchic shape functions allows greater flexibility and efficiency in implementing energy-dependent flux expansions and incorporating localized refinement of the solution space. The irregular matrices generated by the p-type FEM can be solved efficiently using element-by-element conjugate gradient iterative solvers. These solvers do not require storage of either the global or local stiffness matrices and can be highly vectorized. Mapping techniques based on blending function interpolation allow exact representation of curved boundaries using coarse element grids. These features were implemented in a developmental two-dimensional neutron diffusion program based on the use of hierarchic shape functions (FEM2DH). Several aspects in the effective use of p-type analysis were explored. Two choices of elemental preconditioning were examined--the proper selection of the polynomial shape functions and the proper number of functions to use. Of the five shape function polynomials tested, the integral Legendre functions were the most effective. The serendipity set of functions is preferable over the full tensor product set. Two global preconditioners were also examined--simple diagonal and incomplete Cholesky. The full effectiveness of the finite element methodology was demonstrated on a two-region, two-group cylindrical problem but solved in the x-y coordinate space, using a non-structured element grid. The exact, analytic eigenvalue solution was achieved with FEM2DH using various combinations of element grids and flux expansions.

  15. A hierarchical model for probabilistic independent component analysis of multi-subject fMRI studies.

    Science.gov (United States)

    Guo, Ying; Tang, Li

    2013-12-01

    An important goal in fMRI studies is to decompose the observed series of brain images to identify and characterize underlying brain functional networks. Independent component analysis (ICA) has been shown to be a powerful computational tool for this purpose. Classic ICA has been successfully applied to single-subject fMRI data. The extension of ICA to group inferences in neuroimaging studies, however, is challenging due to the unavailability of a pre-specified group design matrix. Existing group ICA methods generally concatenate observed fMRI data across subjects on the temporal domain and then decompose multi-subject data in a similar manner to single-subject ICA. The major limitation of existing methods is that they ignore between-subject variability in spatial distributions of brain functional networks in group ICA. In this article, we propose a new hierarchical probabilistic group ICA method to formally model subject-specific effects in both temporal and spatial domains when decomposing multi-subject fMRI data. The proposed method provides model-based estimation of brain functional networks at both the population and subject level. An important advantage of the hierarchical model is that it provides a formal statistical framework to investigate similarities and differences in brain functional networks across subjects, for example, subjects with mental disorders or neurodegenerative diseases such as Parkinson's as compared to normal subjects. We develop an EM algorithm for model estimation where both the E-step and M-step have explicit forms. We compare the performance of the proposed hierarchical model with that of two popular group ICA methods via simulation studies. We illustrate our method with application to an fMRI study of Zen meditation.

  16. An Isogeometric Design-through-analysis Methodology based on Adaptive Hierarchical Refinement of NURBS, Immersed Boundary Methods, and T-spline CAD Surfaces

    Science.gov (United States)

    2012-01-22

    ICES REPORT 12-05 January 2012 An Isogeometric Design-through-analysis Methodology based on Adaptive Hierarchical Refinement of NURBS , Immersed...M.J. Borden, E. Rank, T.J.R. Hughes, An Isogeometric Design-through-analysis Methodology based on Adaptive Hierarchical Refinement of NURBS , Immersed...analysis Methodology based on Adaptive Hierarchical Refinement of NURBS , Immersed Boundary Methods, and T-spline CAD Surfaces 5a. CONTRACT NUMBER 5b

  17. Citation content analysis (cca): A framework for syntactic and semantic analysis of citation content

    CERN Document Server

    Zhang, Guo; Milojević, Staša

    2012-01-01

    This paper proposes a new framework for Citation Content Analysis (CCA), for syntactic and semantic analysis of citation content that can be used to better analyze the rich sociocultural context of research behavior. The framework could be considered the next generation of citation analysis. This paper briefly reviews the history and features of content analysis in traditional social sciences, and its previous application in Library and Information Science. Based on critical discussion of the theoretical necessity of a new method as well as the limits of citation analysis, the nature and purposes of CCA are discussed, and potential procedures to conduct CCA, including principles to identify the reference scope, a two-dimensional (citing and cited) and two-modular (syntactic and semantic modules) codebook, are provided and described. Future works and implications are also suggested.

  18. Microglia Morphological Categorization in a Rat Model of Neuroinflammation by Hierarchical Cluster and Principal Components Analysis

    Science.gov (United States)

    Fernández-Arjona, María del Mar; Grondona, Jesús M.; Granados-Durán, Pablo; Fernández-Llebrez, Pedro; López-Ávalos, María D.

    2017-01-01

    It is known that microglia morphology and function are closely related, but only few studies have objectively described different morphological subtypes. To address this issue, morphological parameters of microglial cells were analyzed in a rat model of aseptic neuroinflammation. After the injection of a single dose of the enzyme neuraminidase (NA) within the lateral ventricle (LV) an acute inflammatory process occurs. Sections from NA-injected animals and sham controls were immunolabeled with the microglial marker IBA1, which highlights ramifications and features of the cell shape. Using images obtained by section scanning, individual microglial cells were sampled from various regions (septofimbrial nucleus, hippocampus and hypothalamus) at different times post-injection (2, 4 and 12 h). Each cell yielded a set of 15 morphological parameters by means of image analysis software. Five initial parameters (including fractal measures) were statistically different in cells from NA-injected rats (most of them IL-1β positive, i.e., M1-state) compared to those from control animals (none of them IL-1β positive, i.e., surveillant state). However, additional multimodal parameters were revealed more suitable for hierarchical cluster analysis (HCA). This method pointed out the classification of microglia population in four clusters. Furthermore, a linear discriminant analysis (LDA) suggested three specific parameters to objectively classify any microglia by a decision tree. In addition, a principal components analysis (PCA) revealed two extra valuable variables that allowed to further classifying microglia in a total of eight sub-clusters or types. The spatio-temporal distribution of these different morphotypes in our rat inflammation model allowed to relate specific morphotypes with microglial activation status and brain location. An objective method for microglia classification based on morphological parameters is proposed. Main points Microglia undergo a quantifiable

  19. A Hierarchical Allometric Scaling Analysis of Chinese Cities: 1991-2014

    CERN Document Server

    Chen, Yanguang

    2016-01-01

    The law of allometric scaling based on Zipf distributions can be employed to research hierarchies of cities in a geographical region. However, the allometric patterns are easily influenced by random disturbance from the noises in observational data. In theory, both the allometric growth law and Zipf's law are equivalent to hierarchical scaling laws associated with fractal structure. In this paper, the scaling laws of hierarchies with cascade structure are used to study Chinese cities, and the method of R/S analysis is applied to analyzing the change of the allometric scaling exponents. The results show that the hierarchical scaling relations of Chinese cities became clearer and clearer from 1991 to 2014 year, the global allometric scaling exponent values fluctuated around 0.85, and the local scaling exponent approached to 0.85. The Hurst exponent of the allometric parameter change is greater than 1/2, indicating persistence and a long-term memory of urban evolution. The main conclusions can be reached as foll...

  20. Analysis of the effects of the global financial crisis on the Turkish economy, using hierarchical methods

    Science.gov (United States)

    Kantar, Ersin; Keskin, Mustafa; Deviren, Bayram

    2012-04-01

    We have analyzed the topology of 50 important Turkish companies for the period 2006-2010 using the concept of hierarchical methods (the minimal spanning tree (MST) and hierarchical tree (HT)). We investigated the statistical reliability of links between companies in the MST by using the bootstrap technique. We also used the average linkage cluster analysis (ALCA) technique to observe the cluster structures much better. The MST and HT are known as useful tools to perceive and detect global structure, taxonomy, and hierarchy in financial data. We obtained four clusters of companies according to their proximity. We also observed that the Banks and Holdings cluster always forms in the centre of the MSTs for the periods 2006-2007, 2008, and 2009-2010. The clusters match nicely with their common production activities or their strong interrelationship. The effects of the Automobile sector increased after the global financial crisis due to the temporary incentives provided by the Turkish government. We find that Turkish companies were not very affected by the global financial crisis.

  1. Validation of hierarchical cluster analysis for identification of bacterial species using 42 bacterial isolates

    Science.gov (United States)

    Ghebremedhin, Meron; Yesupriya, Shubha; Luka, Janos; Crane, Nicole J.

    2015-03-01

    Recent studies have demonstrated the potential advantages of the use of Raman spectroscopy in the biomedical field due to its rapidity and noninvasive nature. In this study, Raman spectroscopy is applied as a method for differentiating between bacteria isolates for Gram status and Genus species. We created models for identifying 28 bacterial isolates using spectra collected with a 785 nm laser excitation Raman spectroscopic system. In order to investigate the groupings of these samples, partial least squares discriminant analysis (PLSDA) and hierarchical cluster analysis (HCA) was implemented. In addition, cluster analyses of the isolates were performed using various data types consisting of, biochemical tests, gene sequence alignment, high resolution melt (HRM) analysis and antimicrobial susceptibility tests of minimum inhibitory concentration (MIC) and degree of antimicrobial resistance (SIR). In order to evaluate the ability of these models to correctly classify bacterial isolates using solely Raman spectroscopic data, a set of 14 validation samples were tested using the PLSDA models and consequently the HCA models. External cluster evaluation criteria of purity and Rand index were calculated at different taxonomic levels to compare the performance of clustering using Raman spectra as well as the other datasets. Results showed that Raman spectra performed comparably, and in some cases better than, the other data types with Rand index and purity values up to 0.933 and 0.947, respectively. This study clearly demonstrates that the discrimination of bacterial species using Raman spectroscopic data and hierarchical cluster analysis is possible and has the potential to be a powerful point-of-care tool in clinical settings.

  2. Enzyme Analysis to Determine Glucose Content

    Science.gov (United States)

    Carpenter, Charles; Ward, Robert E.

    Enzyme analysis is used for many purposes in food science and technology. Enzyme activity is used to indicate adequate processing, to assess enzyme preparations, and to measure constituents of foods that are enzyme substrates. In this experiment, the glucose content of corn syrup solids is determined using the enzymes, glucose oxidase and peroxidase. Glucose oxidase catalyzes the oxidation of glucose to form hydrogen peroxide (H2O2), which then reacts with a dye in the presence of peroxidase to give a stable colored product.

  3. Numerical analysis on mechanical behaviors of hierarchical cellular structures with negative Poisson’s ratio

    Science.gov (United States)

    Li, Dong; Yin, Jianhua; Dong, Liang; Lakes, Roderic S.

    2017-02-01

    Two-dimensional hierarchical re-entrant honeycomb structures were designed and the mechanical behaviors of the structures were studied using a finite element method. Hierarchical re-entrant structure of order n (n ≥ 1) was constructed by replacing each vertex of a lower order (n - 1) hierarchical re-entrant structure with a smaller re-entrant hexagon with identical strut aspect ratio. The Poisson’s ratio and energy absorption capacity of re-entrant structures of different hierarchical orders were studied under different compression velocities. The results showed that the Poisson’s ratio of the first and second order hierarchical structures can reach -1.36 and -1.33 with appropriate aspect ratio, 13.8% and 12.1% lower than that of the zeroth order hierarchical structure. The energy absorption capacity of the three models increased with an increasing compression velocity; the second order hierarchical structure exhibited the highest rate of increase in energy absorption capacity with an increasing compression velocity. The plateau stresses of the first and second order hierarchical structures were slightly lower than that of the zeroth order hierarchical structure; however the second order hierarchical structure exhibited the highest energy absorption capacity at high compression velocity (60 m s-1).

  4. Applied Bayesian Hierarchical Methods

    CERN Document Server

    Congdon, Peter D

    2010-01-01

    Bayesian methods facilitate the analysis of complex models and data structures. Emphasizing data applications, alternative modeling specifications, and computer implementation, this book provides a practical overview of methods for Bayesian analysis of hierarchical models.

  5. Predicting the decision to pursue mediation in civil disputes: a hierarchical classes analysis.

    Science.gov (United States)

    Reich, Warren A; Kressel, Kenneth; Scanlon, Kathleen M; Weiner, Gary A

    2007-11-01

    Clients (N = 185) involved in civil court cases completed the CPR Institute's Mediation Screen, which is designed to assist in making a decision about pursuing mediation. The authors modeled data using hierarchical classes analysis (HICLAS), a clustering algorithm that places clients into 1 set of classes and CPRMS items into another set of classes. HICLAS then links the sets of classes so that any class of clients can be identified in terms of the classes of items they endorsed. HICLAS-derived item classes reflected 2 underlying themes: (a) suitability of the dispute for a problem-solving process and (b) potential benefits of mediation. All clients who perceived that mediation would be beneficial also believed that the context of their conflict was favorable to mediation; however, not all clients who saw a favorable context believed they would benefit from mediation. The majority of clients who agreed to pursue mediation endorsed items reflecting both contextual suitability and perceived benefits of mediation.

  6. Implementation of Hierarchical Task Analysis for User Interface Design in Drawing Application for Early Childhood Education

    Directory of Open Access Journals (Sweden)

    Mira Kania Sabariah

    2016-05-01

    Full Text Available Draw learning in early childhood is an important lesson and full of stimulation of the process of growth and development of children which could help to train the fine motor skills. We have had a lot of applications that can be used to perform learning, including interactive learning applications. Referring to the observations that have been conducted showed that the experiences given by the applications that exist today are very diverse and have not been able to represent the model of learning and characteristics of early childhood (4-6 years. Based on the results, Hierarchical Task Analysis method generated a list of tasks that must be done in designing an user interface that represents the user experience in draw learning. Then by using the Heuristic Evaluation method the usability of the model has fulfilled a very good level of understanding and also it can be enhanced and produce a better model.

  7. Automatic Contrast Enhancement of Brain MR Images Using Hierarchical Correlation Histogram Analysis.

    Science.gov (United States)

    Chen, Chiao-Min; Chen, Chih-Cheng; Wu, Ming-Chi; Horng, Gwoboa; Wu, Hsien-Chu; Hsueh, Shih-Hua; Ho, His-Yun

    Parkinson's disease is a progressive neurodegenerative disorder that has a higher probability of occurrence in middle-aged and older adults than in the young. With the use of a computer-aided diagnosis (CAD) system, abnormal cell regions can be identified, and this identification can help medical personnel to evaluate the chance of disease. This study proposes a hierarchical correlation histogram analysis based on the grayscale distribution degree of pixel intensity by constructing a correlation histogram, that can improves the adaptive contrast enhancement for specific objects. The proposed method produces significant results during contrast enhancement preprocessing and facilitates subsequent CAD processes, thereby reducing recognition time and improving accuracy. The experimental results show that the proposed method is superior to existing methods by using two estimation image quantitative methods of PSNR and average gradient values. Furthermore, the edge information pertaining to specific cells can effectively increase the accuracy of the results.

  8. Applying of hierarchical clustering to analysis of protein patterns in the human cancer-associated liver.

    Directory of Open Access Journals (Sweden)

    Natalia A Petushkova

    Full Text Available There are two ways that statistical methods can learn from biomedical data. One way is to learn classifiers to identify diseases and to predict outcomes using the training dataset with established diagnosis for each sample. When the training dataset is not available the task can be to mine for presence of meaningful groups (clusters of samples and to explore underlying data structure (unsupervised learning.We investigated the proteomic profiles of the cytosolic fraction of human liver samples using two-dimensional electrophoresis (2DE. Samples were resected upon surgical treatment of hepatic metastases in colorectal cancer. Unsupervised hierarchical clustering of 2DE gel images (n = 18 revealed a pair of clusters, containing 11 and 7 samples. Previously we used the same specimens to measure biochemical profiles based on cytochrome P450-dependent enzymatic activities and also found that samples were clearly divided into two well-separated groups by cluster analysis. It turned out that groups by enzyme activity almost perfectly match to the groups identified from proteomic data. Of the 271 reproducible spots on our 2DE gels, we selected 15 to distinguish the human liver cytosolic clusters. Using MALDI-TOF peptide mass fingerprinting, we identified 12 proteins for the selected spots, including known cancer-associated species.Our results highlight the importance of hierarchical cluster analysis of proteomic data, and showed concordance between results of biochemical and proteomic approaches. Grouping of the human liver samples and/or patients into differing clusters may provide insights into possible molecular mechanism of drug metabolism and creates a rationale for personalized treatment.

  9. Hierarchical statistical analysis of complex analog and mixed-signal systems

    Science.gov (United States)

    Webb, Matthew; Tang, Hua

    2014-12-01

    With increasing process parameter variations in nanometre regime, circuits and systems encounter significant performance variations and therefore statistical analysis has become increasingly important. For complex analog and mixed-signal circuits and systems, efficient yet accurate statistical analysis has been a challenge mainly due to significant simulation and modelling time. In the past years, there have been various approaches proposed for statistical analysis of analog and mixed-signal circuits. A recent work is reported to address statistical analysis for continuous-time Delta-Sigma modulators. In this article, we generalise that method and present a hierarchical method for efficient statistical analysis of complex analog and mixed-signal circuits while maintaining reasonable accuracy. At circuit level, we use the response surface modelling method to extract quadratic models of circuit-level performance parameters in terms of process parameters. Then at system level, we use behavioural models and apply the Monte-Carlo method for statistical evaluation of system performance parameters. We illustrate and validate the method on a continuous-time Delta-Sigma modulator and an analog filter.

  10. Content Analysis of Advertisements in Different Cultures

    Directory of Open Access Journals (Sweden)

    Vesna Lazović

    2012-05-01

    Full Text Available Increasingly, advertising examples are being analyzed and used as yet another form of communication, on account of their ubiquity (e.g. billboards, Internet, television, magazines. Designed to compel us to purchase products, advertisements have the potential to greatly impact our lives. They show current trends in social preferences, they reveal cultural values and norms of the target audience and, finally, they can be the mirror of the times people live in. The purpose of this paper is to give a brief overview of the findings in previously carried–out research relating to cross–cultural content analysis of advertisements. The reports have addressed both linguistic and extra–linguistic features and trends in advertising and emphasized language– and culture–specific elements. This paper also gives ideas for future studies, since nowadays, due to international marketing and increasing globalization there are more cultural transfers to be explored, as cultures are coming in contact far more frequently.

  11. Cancer Patients' Informational Needs: Qualitative Content Analysis.

    Science.gov (United States)

    Heidari, Haydeh; Mardani-Hamooleh, Marjan

    2016-12-01

    Understanding the informational needs of cancer patients is a requirement to plan any educative care program for them. The aim of this study was to identify Iranian cancer patients' perceptions of informational needs. The study took a qualitative approach. Semi-structured interviews were held with 25 cancer patients in two teaching hospitals in Iran. Transcripts of the interviews underwent conventional content analysis, and categories were extracted. The results came under two main categories: disease-related informational needs and information needs related to daily life. Disease-related informational needs had two subcategories: obtaining information about the nature of disease and obtaining information about disease prognosis. Information needs related to daily life also had two subcategories: obtaining information about healthy lifestyle and obtaining information about regular activities of daily life. The findings provide deep understanding of cancer patients' informational needs in Iran.

  12. Accurate and Efficient Analysis of Printed Reflectarrays With Arbitrary Elements Using Higher-Order Hierarchical Legendre Basis Functions

    DEFF Research Database (Denmark)

    Zhou, Min; Jørgensen, Erik; Kim, Oleksiy S.;

    2012-01-01

    , thus providing the flexibility required in the analysis of printed reflectarrays. A comparison to DTU-ESA Facility measurements of a reference offset reflectarray shows that higher-order hierarchical Legendre basis functions produce results of the same accuracy as those obtained using singular basis...

  13. A hierarchical cluster analysis of normal-tension glaucoma using spectral-domain optical coherence tomography parameters.

    Science.gov (United States)

    Bae, Hyoung Won; Ji, Yongwoo; Lee, Hye Sun; Lee, Naeun; Hong, Samin; Seong, Gong Je; Sung, Kyung Rim; Kim, Chan Yun

    2015-01-01

    Normal-tension glaucoma (NTG) is a heterogenous disease, and there is still controversy about subclassifications of this disorder. On the basis of spectral-domain optical coherence tomography (SD-OCT), we subdivided NTG with hierarchical cluster analysis using optic nerve head (ONH) parameters and retinal nerve fiber layer (RNFL) thicknesses. A total of 200 eyes of 200 NTG patients between March 2011 and June 2012 underwent SD-OCT scans to measure ONH parameters and RNFL thicknesses. We classified NTG into homogenous subgroups based on these variables using a hierarchical cluster analysis, and compared clusters to evaluate diverse NTG characteristics. Three clusters were found after hierarchical cluster analysis. Cluster 1 (62 eyes) had the thickest RNFL and widest rim area, and showed early glaucoma features. Cluster 2 (60 eyes) was characterized by the largest cup/disc ratio and cup volume, and showed advanced glaucomatous damage. Cluster 3 (78 eyes) had small disc areas in SD-OCT and were comprised of patients with significantly younger age, longer axial length, and greater myopia than the other 2 groups. A hierarchical cluster analysis of SD-OCT scans divided NTG patients into 3 groups based upon ONH parameters and RNFL thicknesses. It is anticipated that the small disc area group comprised of younger and more myopic patients may show unique features unlike the other 2 groups.

  14. A method of spherical harmonic analysis in the geosciences via hierarchical Bayesian inference

    Science.gov (United States)

    Muir, J. B.; Tkalčić, H.

    2015-11-01

    The problem of decomposing irregular data on the sphere into a set of spherical harmonics is common in many fields of geosciences where it is necessary to build a quantitative understanding of a globally varying field. For example, in global seismology, a compressional or shear wave speed that emerges from tomographic images is used to interpret current state and composition of the mantle, and in geomagnetism, secular variation of magnetic field intensity measured at the surface is studied to better understand the changes in the Earth's core. Optimization methods are widely used for spherical harmonic analysis of irregular data, but they typically do not treat the dependence of the uncertainty estimates on the imposed regularization. This can cause significant difficulties in interpretation, especially when the best-fit model requires more variables as a result of underestimating data noise. Here, with the above limitations in mind, the problem of spherical harmonic expansion of irregular data is treated within the hierarchical Bayesian framework. The hierarchical approach significantly simplifies the problem by removing the need for regularization terms and user-supplied noise estimates. The use of the corrected Akaike Information Criterion for picking the optimal maximum degree of spherical harmonic expansion and the resulting spherical harmonic analyses are first illustrated on a noisy synthetic data set. Subsequently, the method is applied to two global data sets sensitive to the Earth's inner core and lowermost mantle, consisting of PKPab-df and PcP-P differential traveltime residuals relative to a spherically symmetric Earth model. The posterior probability distributions for each spherical harmonic coefficient are calculated via Markov Chain Monte Carlo sampling; the uncertainty obtained for the coefficients thus reflects the noise present in the real data and the imperfections in the spherical harmonic expansion.

  15. Comprehensive Evaluation of Entropy-hierarchical Grey Correlation Analysis for Highway Safety Life Protection Engineering

    Directory of Open Access Journals (Sweden)

    Jin Shuxins

    2016-01-01

    Full Text Available Different highway safety life protection engineering decision-making have important meaning. The achieving goals and optimal highway safety life protection engineering scheme can not only improve the function of the highway facilities and service level, still can reduce the traffic accident, which caused by the imperfect highway facilities. Different highway safety life protection engineering decision-making is a multiple targets, multi-layers and multi-schemes system evaluation problem. With regard to lack of concrete data on multiple targets, multi-layers and multi-schemes system evaluation problem, make analytical hierarchy process combined with the entropy value analysis into the grey relational comprehensive evaluation method, and then get entropy-hierarchical grey correlation analysis method. This method is a qualitative and quantitative decision method, which combine comparison principle of analytic hierarchy process (AHP and the entropy principle of entropy value analysis method to determine the relative weight of various indexes between factors layer-by-layer. Then using grey relational analysis by low-layer to high-layer step by step in the possible scheme and referenced scheme. Finally, calculating the comprehensive correlation degree between the possible scheme and referenced scheme, the best plan which has maximum grey correlation degree can be selected.

  16. Evaluation of hierarchical agglomerative cluster analysis methods for discrimination of primary biological aerosol

    Directory of Open Access Journals (Sweden)

    I. Crawford

    2015-07-01

    Full Text Available In this paper we present improved methods for discriminating and quantifying Primary Biological Aerosol Particles (PBAP by applying hierarchical agglomerative cluster analysis to multi-parameter ultra violet-light induced fluorescence (UV-LIF spectrometer data. The methods employed in this study can be applied to data sets in excess of 1×106 points on a desktop computer, allowing for each fluorescent particle in a dataset to be explicitly clustered. This reduces the potential for misattribution found in subsampling and comparative attribution methods used in previous approaches, improving our capacity to discriminate and quantify PBAP meta-classes. We evaluate the performance of several hierarchical agglomerative cluster analysis linkages and data normalisation methods using laboratory samples of known particle types and an ambient dataset. Fluorescent and non-fluorescent polystyrene latex spheres were sampled with a Wideband Integrated Bioaerosol Spectrometer (WIBS-4 where the optical size, asymmetry factor and fluorescent measurements were used as inputs to the analysis package. It was found that the Ward linkage with z-score or range normalisation performed best, correctly attributing 98 and 98.1 % of the data points respectively. The best performing methods were applied to the BEACHON-RoMBAS ambient dataset where it was found that the z-score and range normalisation methods yield similar results with each method producing clusters representative of fungal spores and bacterial aerosol, consistent with previous results. The z-score result was compared to clusters generated with previous approaches (WIBS AnalysiS Program, WASP where we observe that the subsampling and comparative attribution method employed by WASP results in the overestimation of the fungal spore concentration by a factor of 1.5 and the underestimation of bacterial aerosol concentration by a factor of 5. We suggest that this likely due to errors arising from misatrribution

  17. Evaluation of hierarchical agglomerative cluster analysis methods for discrimination of primary biological aerosol

    Directory of Open Access Journals (Sweden)

    I. Crawford

    2015-11-01

    Full Text Available In this paper we present improved methods for discriminating and quantifying primary biological aerosol particles (PBAPs by applying hierarchical agglomerative cluster analysis to multi-parameter ultraviolet-light-induced fluorescence (UV-LIF spectrometer data. The methods employed in this study can be applied to data sets in excess of 1 × 106 points on a desktop computer, allowing for each fluorescent particle in a data set to be explicitly clustered. This reduces the potential for misattribution found in subsampling and comparative attribution methods used in previous approaches, improving our capacity to discriminate and quantify PBAP meta-classes. We evaluate the performance of several hierarchical agglomerative cluster analysis linkages and data normalisation methods using laboratory samples of known particle types and an ambient data set. Fluorescent and non-fluorescent polystyrene latex spheres were sampled with a Wideband Integrated Bioaerosol Spectrometer (WIBS-4 where the optical size, asymmetry factor and fluorescent measurements were used as inputs to the analysis package. It was found that the Ward linkage with z-score or range normalisation performed best, correctly attributing 98 and 98.1 % of the data points respectively. The best-performing methods were applied to the BEACHON-RoMBAS (Bio–hydro–atmosphere interactions of Energy, Aerosols, Carbon, H2O, Organics and Nitrogen–Rocky Mountain Biogenic Aerosol Study ambient data set, where it was found that the z-score and range normalisation methods yield similar results, with each method producing clusters representative of fungal spores and bacterial aerosol, consistent with previous results. The z-score result was compared to clusters generated with previous approaches (WIBS AnalysiS Program, WASP where we observe that the subsampling and comparative attribution method employed by WASP results in the overestimation of the fungal spore concentration by a factor of 1.5 and the

  18. Hierarchical linear modeling of longitudinal pedigree data for genetic association analysis.

    Science.gov (United States)

    Tan, Qihua; B Hjelmborg, Jacob V; Thomassen, Mads; Jensen, Andreas Kryger; Christiansen, Lene; Christensen, Kaare; Zhao, Jing Hua; Kruse, Torben A

    2014-01-01

    Genetic association analysis on complex phenotypes under a longitudinal design involving pedigrees encounters the problem of correlation within pedigrees, which could affect statistical assessment of the genetic effects. Approaches have been proposed to integrate kinship correlation into the mixed-effect models to explicitly model the genetic relationship. These have proved to be an efficient way of dealing with sample clustering in pedigree data. Although current algorithms implemented in popular statistical packages are useful for adjusting relatedness in the mixed modeling of genetic effects on the mean level of a phenotype, they are not sufficiently straightforward to handle the kinship correlation on the time-dependent trajectories of a phenotype. We introduce a 2-level hierarchical linear model to separately assess the genetic associations with the mean level and the rate of change of a phenotype, integrating kinship correlation in the analysis. We apply our method to the Genetic Analysis Workshop 18 genome-wide association studies data on chromosome 3 to estimate the genetic effects on systolic blood pressure measured over time in large pedigrees. Our method identifies genetic variants associated with blood pressure with estimated inflation factors of 0.99, suggesting that our modeling of random effects efficiently handles the genetic relatedness in pedigrees. Application to simulated data captures important variants specified in the simulation. Our results show that the method is useful for genetic association studies in related samples using longitudinal design.

  19. Water quality assessment with hierarchical cluster analysis based on Mahalanobis distance.

    Science.gov (United States)

    Du, Xiangjun; Shao, Fengjing; Wu, Shunyao; Zhang, Hanlin; Xu, Si

    2017-07-01

    Water quality assessment is crucial for assessment of marine eutrophication, prediction of harmful algal blooms, and environment protection. Previous studies have developed many numeric modeling methods and data driven approaches for water quality assessment. The cluster analysis, an approach widely used for grouping data, has also been employed. However, there are complex correlations between water quality variables, which play important roles in water quality assessment but have always been overlooked. In this paper, we analyze correlations between water quality variables and propose an alternative method for water quality assessment with hierarchical cluster analysis based on Mahalanobis distance. Further, we cluster water quality data collected form coastal water of Bohai Sea and North Yellow Sea of China, and apply clustering results to evaluate its water quality. To evaluate the validity, we also cluster the water quality data with cluster analysis based on Euclidean distance, which are widely adopted by previous studies. The results show that our method is more suitable for water quality assessment with many correlated water quality variables. To our knowledge, it is the first attempt to apply Mahalanobis distance for coastal water quality assessment.

  20. Generic Approach for Hierarchical Modulation Performance Analysis: Application to DVB-SH

    CERN Document Server

    Méric, Hugo; Amiot-Bazile, Caroline; Arnal, Fabrice; Boucheret, Marie-Laure

    2011-01-01

    Broadcasting systems have to deal with channel diversity in order to offer the best rate to the users. Hierarchical modulation is a practical solution to provide several rates in function of the channel quality. Unfortunately the performance evaluation of such modulations requires time consuming simulations. We propose in this paper a novel approach based on the channel capacity to avoid these simulations. The method allows to study the performance in terms of spectrum efficiency of hierarchical and also classical modulations combined with error correcting codes. Our method will be applied to the DVB-SH standard which considers hierarchical modulation as an optional feature.

  1. Ingredients and Process Standardization of Thepla: An Indian Unleavened Vegetable Flatbread using Hierarchical Cluster Analysis

    Directory of Open Access Journals (Sweden)

    S.S. Arya

    2012-10-01

    Full Text Available Thepla is an Indian unleavened flatbread made from whole-wheat flour with added spices and vegetables. It is particularly consumed in western zone of the India. The preparation of thepla is tedious, time consuming and requires skill. In the present study standardization of thepla ingredients were carried out by standardizing each ingredient on the basis of Overall Acceptability (OA score. Sensory analysis was carried out using nine-point hedonic rating scale with ten trained panellists. Standardized ingredients of thepla were: salt 3%, red chili powder 2.5%, fenugreek leaves 12%, cumin seed powder 0.6%, coriander seed powder 0.6%, ginger garlic paste (1:1 6%, asafoetida 0.6% and oil 3% w/w of whole wheat flour on the basis of highest sensory OA score. Further thepla process parameters such as time, temperature, diameter of thepla and weight of dough were standardized on the basis of sensory OA score. Obtained sensory score data was processed for Hierarchical Cluster Analysis (HCA.

  2. Time-domain analysis of neural tracking of hierarchical linguistic structures.

    Science.gov (United States)

    Zhang, Wen; Ding, Nai

    2017-02-01

    When listening to continuous speech, cortical activity measured by MEG concurrently follows the rhythms of multiple linguistic structures, e.g., syllables, phrases, and sentences. This phenomenon was previously characterized in the frequency domain. Here, we investigate the waveform of neural activity tracking linguistic structures in the time domain and quantify the coherence of neural response phases over subjects listening to the same stimulus. These analyses are achieved by decomposing the multi-channel MEG recordings into components that maximize the correlation between neural response waveforms across listeners. Each MEG component can be viewed as the recording from a virtual sensor that is spatially tuned to a cortical network showing coherent neural activity over subjects. This analysis reveals information not available from previous frequency-domain analysis of MEG global field power: First, concurrent neural tracking of hierarchical linguistic structures emerges at the beginning of the stimulus, rather than slowly building up after repetitions of the same sentential structure. Second, neural tracking of the sentential structure is reflected by slow neural fluctuations, rather than, e.g., a series of short-lasting transient responses at sentential boundaries. Lastly and most importantly, it shows that the MEG responses tracking the syllabic rhythm are spatially separable from the MEG responses tracking the sentential and phrasal rhythms.

  3. Improving water quality assessments through a hierarchical Bayesian analysis of variability.

    Science.gov (United States)

    Gronewold, Andrew D; Borsuk, Mark E

    2010-10-15

    Water quality measurement error and variability, while well-documented in laboratory-scale studies, is rarely acknowledged or explicitly resolved in most model-based water body assessments, including those conducted in compliance with the United States Environmental Protection Agency (USEPA) Total Maximum Daily Load (TMDL) program. Consequently, proposed pollutant loading reductions in TMDLs and similar water quality management programs may be biased, resulting in either slower-than-expected rates of water quality restoration and designated use reinstatement or, in some cases, overly conservative management decisions. To address this problem, we present a hierarchical Bayesian approach for relating actual in situ or model-predicted pollutant concentrations to multiple sampling and analysis procedures, each with distinct sources of variability. We apply this method to recently approved TMDLs to investigate whether appropriate accounting for measurement error and variability will lead to different management decisions. We find that required pollutant loading reductions may in fact vary depending not only on how measurement variability is addressed but also on which water quality analysis procedure is used to assess standard compliance. As a general strategy, our Bayesian approach to quantifying variability may represent an alternative to the common practice of addressing all forms of uncertainty through an arbitrary margin of safety (MOS).

  4. Content analysis of cancer blog posts*

    Science.gov (United States)

    Kim, Sujin

    2009-01-01

    Objectives: The efficacy of user-defined subject tagging and software-generated subject tagging for describing and organizing cancer blog contents was explored. Methods: The Technorati search engine was used to search the blogosphere for cancer blog postings generated during a two-month period. Postings were mined for relevant subject concepts, and blogger-defined tags and Text Analysis Portal for Research (TAPoR) software–defined tags were generated for each message. Descriptive data were collected, and the blogger-defined tags were compared with software-generated tags. Three standard vocabularies (Opinion Templates, Basic Resource, and Medical Subject Headings [MeSH] Resource) were used to assign subject terms to the blogs, with results compared for efficacy in information retrieval. Results: Descriptive data showed that most of the studied cancer blogs (80%) contained fewer than 500 words each. The numbers of blogger-defined tags per posting (M = 4.49 per posting) were significantly smaller than the TAPoR keywords (M = 23.55 per posting). Both blogger-defined subject tags and software-generated subject tags were often overly broad or overly narrow in focus, producing less than effective search results for those seeking to extract information from cancer blogs. Conclusions: Additional exploration into methods for systematically organizing cancer blog postings is necessary if blogs are to become stable and efficacious information resources for cancer patients, friends, families, or providers. PMID:19851489

  5. Content analysis of cancer blog posts.

    Science.gov (United States)

    Kim, Sujin

    2009-10-01

    The efficacy of user-defined subject tagging and software-generated subject tagging for describing and organizing cancer blog contents was explored. The Technorati search engine was used to search the blogosphere for cancer blog postings generated during a two-month period. Postings were mined for relevant subject concepts, and blogger-defined tags and Text Analysis Portal for Research (TAPoR) software-defined tags were generated for each message. Descriptive data were collected, and the blogger-defined tags were compared with software-generated tags. Three standard vocabularies (Opinion Templates, Basic Resource, and Medical Subject Headings [MeSH] Resource) were used to assign subject terms to the blogs, with results compared for efficacy in information retrieval. Descriptive data showed that most of the studied cancer blogs (80%) contained fewer than 500 words each. The numbers of blogger-defined tags per posting (M = 4.49 per posting) were significantly smaller than the TAPoR keywords (M = 23.55 per posting). Both blogger-defined subject tags and software-generated subject tags were often overly broad or overly narrow in focus, producing less than effective search results for those seeking to extract information from cancer blogs. Additional exploration into methods for systematically organizing cancer blog postings is necessary if blogs are to become stable and efficacious information resources for cancer patients, friends, families, or providers.

  6. High content analysis in amyotrophic lateral sclerosis.

    Science.gov (United States)

    Rinaldi, Federica; Motti, Dario; Ferraiuolo, Laura; Kaspar, Brian K

    2017-04-01

    Amyotrophic lateral sclerosis (ALS) is a devastating disease characterized by the progressive loss of motor neurons. Neurons, astrocytes, oligodendrocytes and microglial cells all undergo pathological modifications in the onset and progression of ALS. A number of genes involved in the etiopathology of the disease have been identified, but a complete understanding of the molecular mechanisms of ALS has yet to be determined. Currently, people affected by ALS have a life expectancy of only two to five years from diagnosis. The search for a treatment has been slow and mostly unsuccessful, leaving patients in desperate need of better therapies. Until recently, most pre-clinical studies utilized the available ALS animal models. In the past years, the development of new protocols for isolation of patient cells and differentiation into relevant cell types has provided new tools to model ALS, potentially more relevant to the disease itself as they directly come from patients. The use of stem cells is showing promise to facilitate ALS research by expanding our understanding of the disease and help to identify potential new therapeutic targets and therapies to help patients. Advancements in high content analysis (HCA) have the power to contribute to move ALS research forward by combining automated image acquisition along with digital image analysis. With modern HCA machines it is possible, in a period of just a few hours, to observe changes in morphology and survival of cells, under the stimulation of hundreds, if not thousands of drugs and compounds. In this article, we will summarize the major molecular and cellular hallmarks of ALS, describe the advancements provided by the in vitro models developed in the last few years, and review the studies that have applied HCA to the ALS field to date. Copyright © 2016 Elsevier Inc. All rights reserved.

  7. Television Ads in Singapore: A Content Analysis.

    Science.gov (United States)

    Rehman, Sharaf N.; Aw, Annette; Kennan, William

    1999-01-01

    Appraises the information content of Singapore television advertising, and makes a comparison with relevant United States findings. Research reported in this paper is a replication of two empirical studies of the informational content of television advertising in the United States from 1977. (Author/LRW)

  8. Fabrication of micro/nano hierarchical structures with analysis on the surface mechanics

    Science.gov (United States)

    Jheng, Yu-Sheng; Lee, Yeeu-Chang

    2016-10-01

    Biomimicry refers to the imitation of mechanisms and features found in living creatures using artificial methods. This study used optical lithography, colloidal lithography, and dry etching to mimic the micro/nano hierarchical structures covering the soles of gecko feet. We measured the static contact angle and contact angle hysteresis to reveal the behavior of liquid drops on the hierarchical structures. Pulling tests were also performed to measure the resistance of movement between the hierarchical structures and a testing plate. Our results reveal that hierarchical structures at the micro-/nano-scale are considerably hydrophobic, they provide good flow characteristics, and they generate more contact force than do surfaces with micro-scale cylindrical structures.

  9. Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities

    National Research Council Canada - National Science Library

    Royle, J. Andrew; Dorazio, Robert M

    2008-01-01

    "This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical modeling in which a strict focus on probability models and parametric inference is adopted...

  10. Nonresident Undergraduates' Performance in English Writing Classes-Hierarchical Linear Modeling Analysis

    National Research Council Canada - National Science Library

    Allison A Vaughn; Matthew Bergman; Barry Fass-Holmes

    2015-01-01

    ...) in the fall term of the five most recent academic years. Hierarchical linear modeling analyses showed that the predictors with the largest effect sizes were English writing programs and class level...

  11. Extreme Rainfall Analysis using Bayesian Hierarchical Modeling in the Willamette River Basin, Oregon

    Science.gov (United States)

    Love, C. A.; Skahill, B. E.; AghaKouchak, A.; Karlovits, G. S.; England, J. F.; Duren, A. M.

    2016-12-01

    We present preliminary results of ongoing research directed at evaluating the worth of including various covariate data to support extreme rainfall analysis in the Willamette River basin using Bayesian hierarchical modeling (BHM). We also compare the BHM derived extreme rainfall estimates with their respective counterparts obtained from a traditional regional frequency analysis (RFA) using the same set of rain gage extreme rainfall data. The U.S. Army Corps of Engineers (USACE) Portland District operates thirteen dams in the 11,478 square mile Willamette River basin (WRB) located in northwestern Oregon, a major tributary of the Columbia River whose 187 miles long main stem, the Willamette River, flows northward between the Coastal and Cascade Ranges. The WRB contains approximately two-thirds of Oregon's population and 20 of the 25 most populous cities in the state. Extreme rainfall estimates are required to support risk-informed hydrologic analyses for these projects as part of the USACE Dam Safety Program. We analyze daily annual rainfall maxima data for the WRB utilizing the spatial BHM R package "spatial.gev.bma", which has been shown to be efficient in developing coherent maps of extreme rainfall by return level. Our intent is to profile for the USACE an alternate methodology to a RFA which was developed in 2008 due to the lack of an official NOAA Atlas 14 update for the state of Oregon. Unlike RFA, the advantage of a BHM-based analysis of hydrometeorological extremes is its ability to account for non-stationarity while providing robust estimates of uncertainty. BHM also allows for the inclusion of geographical and climatological factors which we show for the WRB influence regional rainfall extremes. Moreover, the Bayesian framework permits one to combine additional data types into the analysis; for example, information derived via elicitation and causal information expansion data, both being additional opportunities for future related research.

  12. Hierarchical sliding mode control for under-actuated cranes design, analysis and simulation

    CERN Document Server

    Qian, Dianwei

    2015-01-01

    This book reports on the latest developments in sliding mode overhead crane control, presenting novel research ideas and findings on sliding mode control (SMC), hierarchical SMC and compensator design-based hierarchical sliding mode. The results, which were previously scattered across various journals and conference proceedings, are now presented in a systematic and unified form. The book will be of interest to researchers, engineers and graduate students in control engineering and mechanical engineering who want to learn the methods and applications of SMC.

  13. Premaceral contents of peats correlated with proximate and ultimate analysis

    Energy Technology Data Exchange (ETDEWEB)

    Cohen, A.D.; Andrejko, M.J.

    1983-01-01

    Preliminary correlations of petrographic characteristics of peats (i.e., peat types, premaceral proportions, and premaceral types) with proximate analysis, ultimate analysis, and Btu content are reported. These correlations suggest the following trends: (1) peats with the highest proportions of birefringent macerals tend to have highest volatile matter (and H and O contents); (2) fluorescence of macerals seems to correlate only slightly with proximate and ultimate analyses; (3) higher previtrinite contents tend to correlate with higher volatile matter contents; (4) peats with higher preinertinities, prephlobaphenites (and precorpocollinites), and presclerotinites have the highest fixed carbon; and (5) Btu correlates strongly with ash content and only slightly with maceral content. (BLM)

  14. Determinants of early cognitive development: hierarchical analysis of a longitudinal study.

    Science.gov (United States)

    Marques dos Santos, Letícia; Neves dos Santos, Darci; Bastos, Ana Cecília Sousa; Assis, Ana Marlúcia Oliveira; Prado, Matildes Silva; Barreto, Mauricio L

    2008-02-01

    The study describes the relationship between anthropometric status, socioeconomic conditions, and quality of home environment and child cognitive development in 320 children from 20 to 42 months of age, randomly selected from 20,000 households that represent the range of socioeconomic and environmental conditions in Salvador, Bahia, Northeast Brazil. The inclusion criterion was to be less than 42 months of age between January and July 1999. Child cognitive development was assessed using the Bayley Scales for Infant Development, and the Home Observation for Measurement of the Environment Inventory (HOME) was applied to assess quality of home environment. Anthropometric status was measured using the indicators weight/age and height/age ratios (z-scores), and socioeconomic data were collected through a standard questionnaire. Statistical analysis was conducted through univariate and hierarchical linear regression. Socioeconomic factors were found to have an indirect impact on early cognitive development mediated by the child's proximal environment factors, such as appropriate play materials and games available and school attendance. No independent association was seen between nutritional status and early cognitive development.

  15. Hierarchical Bayesian analysis of censored microbiological contamination data for use in risk assessment and mitigation.

    Science.gov (United States)

    Busschaert, P; Geeraerd, A H; Uyttendaele, M; Van Impe, J F

    2011-06-01

    Microbiological contamination data often is censored because of the presence of non-detects or because measurement outcomes are known only to be smaller than, greater than, or between certain boundary values imposed by the laboratory procedures. Therefore, it is not straightforward to fit distributions that summarize contamination data for use in quantitative microbiological risk assessment, especially when variability and uncertainty are to be characterized separately. In this paper, distributions are fit using Bayesian analysis, and results are compared to results obtained with a methodology based on maximum likelihood estimation and the non-parametric bootstrap method. The Bayesian model is also extended hierarchically to estimate the effects of the individual elements of a covariate such as, for example, on a national level, the food processing company where the analyzed food samples were processed, or, on an international level, the geographical origin of contamination data. Including this extra information allows a risk assessor to differentiate between several scenario's and increase the specificity of the estimate of risk of illness, or compare different scenario's to each other. Furthermore, inference is made on the predictive importance of several different covariates while taking into account uncertainty, allowing to indicate which covariates are influential factors determining contamination.

  16. Asian pollution climatically modulates mid-latitude cyclones following hierarchical modelling and observational analysis.

    Science.gov (United States)

    Wang, Yuan; Zhang, Renyi; Saravanan, R

    2014-01-01

    Increasing levels of anthropogenic aerosols in Asia have raised considerable concern regarding its potential impact on the global atmosphere, but the magnitude of the associated climate forcing remains to be quantified. Here, using a novel hierarchical modelling approach and observational analysis, we demonstrate modulated mid-latitude cyclones by Asian pollution over the past three decades. Regional and seasonal simulations using a cloud-resolving model show that Asian pollution invigorates winter cyclones over the northwest Pacific, increasing precipitation by 7% and net cloud radiative forcing by 1.0 W m(-2) at the top of the atmosphere and by 1.7 W m(-2) at the Earth's surface. A global climate model incorporating the diabatic heating anomalies from Asian pollution produces a 9% enhanced transient eddy meridional heat flux and reconciles a decadal variation of mid-latitude cyclones derived from the Reanalysis data. Our results unambiguously reveal a large impact of the Asian pollutant outflows on the global general circulation and climate.

  17. Hierarchical adaptation scheme for multiagent data fusion and resource management in situation analysis

    Science.gov (United States)

    Benaskeur, Abder R.; Roy, Jean

    2001-08-01

    Sensor Management (SM) has to do with how to best manage, coordinate and organize the use of sensing resources in a manner that synergistically improves the process of data fusion. Based on the contextual information, SM develops options for collecting further information, allocates and directs the sensors towards the achievement of the mission goals and/or tunes the parameters for the realtime improvement of the effectiveness of the sensing process. Conscious of the important role that SM has to play in modern data fusion systems, we are currently studying advanced SM Concepts that would help increase the survivability of the current Halifax and Iroquois Class ships, as well as their possible future upgrades. For this purpose, a hierarchical scheme has been proposed for data fusion and resource management adaptation, based on the control theory and within the process refinement paradigm of the JDL data fusion model, and taking into account the multi-agent model put forward by the SASS Group for the situation analysis process. The novelty of this work lies in the unified framework that has been defined for tackling the adaptation of both the fusion process and the sensor/weapon management.

  18. Feature Analysis for Modeling Game Content Quality

    DEFF Research Database (Denmark)

    Shaker, Noor; Yannakakis, Georgios N.; Togelius, Julian

    2011-01-01

    entertainment for individual game players is to tailor player experience in real-time via automatic game content generation. Modeling the relationship between game content and player preferences or affective states is an important step towards this type of game personalization. In this paper we...... analyse the relationship between level design parameters of platform games and player experience. We introduce a method to extract the most useful information about game content from short game sessions by investigating the size of game session that yields the highest accuracy in predicting players......’ preferences, and by defining the smallest game session size for which the model can still predict reported emotion with acceptable accuracy. Neuroevolutionary preference learning is used to approximate the function from game content to reported emotional preferences. The experiments are based on a modified...

  19. Measuring populism: comparing two methods of content analysis

    NARCIS (Netherlands)

    Rooduijn, M.; Pauwels, T.

    2011-01-01

    The measurement of populism - particularly over time and space - has received only scarce attention. In this research note two different ways to measure populism are compared: a classical content analysis and a computer-based content analysis. An analysis of political parties in the United Kingdom,

  20. The Use of Qualitative Content Analysis in Case Study Research

    OpenAIRE

    Florian Kohlbacher

    2006-01-01

    This paper aims at exploring and discussing the possibilities of applying qualitative content analysis as a (text) interpretation method in case study research. First, case study research as a research strategy within qualitative social research is briefly presented. Then, a basic introduction to (qualitative) content analysis as an interpretation method for qualitative interviews and other data material is given. Finally the use of qualitative content analysis for developing case studies is ...

  1. Content Analysis of Survey Feedback Meetings: An Evaluation Tool

    Science.gov (United States)

    1975-05-01

    AD-AO10 210 CONTENT ANALYSIS OF SURVEY FEEDBACK MEETINGS: AN EVALUATION TOOL Patricia A. Pecorella Michigan University Prepared for: Office of Naval...RECIPIENIT’S CATALOG NUMSEA 4, TITLE (#wtd$4bIII*) 5.&TYJ F REPORT 6PEFlIOg COVERlEO Content Analysis of Survey Feedback Meetings: Technical Report An...Ratings Coder Re1liability Evaluation Supervisory Leadership Consultant Roles Problem-Identification Survey Feedback Content Analysis Problem-Solving

  2. Content Analysis and the Organization of Combat Intelligence Data

    Science.gov (United States)

    1978-02-01

    Rtstarck M«aor»4»B 78-7 CO o < CONTENT ANALYSIS AND THE ORGANIZATION OF COMBAT INTELLIGENCE DATA Murray S. Miron and Samuel W. Patten Syracuse...the Army Research Institute. y > /N u A A J^ 4 CONTENT ANALYSIS AND THE ORGANIZATION OF COMBAT INTELLIGENCE DATA \\ INTRODUCTION In order to...1966, p. 68). In content analysis , the General Inquirer functions as a well-trained clerk who assigns particular categories (specified by the

  3. Multichannel biomedical time series clustering via hierarchical probabilistic latent semantic analysis.

    Science.gov (United States)

    Wang, Jin; Sun, Xiangping; Nahavandi, Saeid; Kouzani, Abbas; Wu, Yuchuan; She, Mary

    2014-11-01

    Biomedical time series clustering that automatically groups a collection of time series according to their internal similarity is of importance for medical record management and inspection such as bio-signals archiving and retrieval. In this paper, a novel framework that automatically groups a set of unlabelled multichannel biomedical time series according to their internal structural similarity is proposed. Specifically, we treat a multichannel biomedical time series as a document and extract local segments from the time series as words. We extend a topic model, i.e., the Hierarchical probabilistic Latent Semantic Analysis (H-pLSA), which was originally developed for visual motion analysis to cluster a set of unlabelled multichannel time series. The H-pLSA models each channel of the multichannel time series using a local pLSA in the first layer. The topics learned in the local pLSA are then fed to a global pLSA in the second layer to discover the categories of multichannel time series. Experiments on a dataset extracted from multichannel Electrocardiography (ECG) signals demonstrate that the proposed method performs better than previous state-of-the-art approaches and is relatively robust to the variations of parameters including length of local segments and dictionary size. Although the experimental evaluation used the multichannel ECG signals in a biometric scenario, the proposed algorithm is a universal framework for multichannel biomedical time series clustering according to their structural similarity, which has many applications in biomedical time series management. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  4. Hierarchical cluster-tendency analysis of the group structure in the foreign exchange market

    Science.gov (United States)

    Wu, Xin-Ye; Zheng, Zhi-Gang

    2013-08-01

    A hierarchical cluster-tendency (HCT) method in analyzing the group structure of networks of the global foreign exchange (FX) market is proposed by combining the advantages of both the minimal spanning tree (MST) and the hierarchical tree (HT). Fifty currencies of the top 50 World GDP in 2010 according to World Bank's database are chosen as the underlying system. By using the HCT method, all nodes in the FX market network can be "colored" and distinguished. We reveal that the FX networks can be divided into two groups, i.e., the Asia-Pacific group and the Pan-European group. The results given by the hierarchical cluster-tendency method agree well with the formerly observed geographical aggregation behavior in the FX market. Moreover, an oil-resource aggregation phenomenon is discovered by using our method. We find that gold could be a better numeraire for the weekly-frequency FX data.

  5. Feature Analysis for Modeling Game Content Quality

    DEFF Research Database (Denmark)

    Shaker, Noor; Yannakakis, Georgios N.; Togelius, Julian

    2011-01-01

    ’ preferences, and by defining the smallest game session size for which the model can still predict reported emotion with acceptable accuracy. Neuroevolutionary preference learning is used to approximate the function from game content to reported emotional preferences. The experiments are based on a modified...

  6. A Bernsteinian Analysis of Content Area Literacy

    Science.gov (United States)

    Collin, Ross

    2014-01-01

    This article examines two approaches to teaching content area literacy: a strategies approach focused on general practices of reading and writing and a disciplinary approach attuned to the particular discourses of particular domains. Basil Bernstein's theory of the pedagogic device is used to critique both approaches' assumptions about…

  7. Multi-scaling hierarchical structure analysis on the sequence of E. coli complete genome

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    We have applied the newly developed hierarchical structure theory for complex systems to analyze the multi-scaling structures of the nucleotide density distribution along a linear DNA sequence from the complete Escherichia coli genome. The hierarchical symmetry in the nucleotide density distribution was demonstrated. In particular, we have shown that the G, C density distribution that represents a strong H-bonding between the two DNA chains is more coherent with smaller similarity parameter compared to that of A, T density distribution, indicating a better organized multi-scaling fluctuation field for G, C density distribution along the genome sequence. The biological significance of these findings is under investigation.

  8. Analysis of Joint Masonry Moisture Content Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Ueno, Kohta [Building Science Corporation, Westford, MA (United States)

    2015-10-01

    Adding insulation to the interior side of walls of masonry buildings in cold (and wet) climates may cause performance and durability problems. Some concerns, such as condensation and freeze-thaw, have known solutions, but wood members embedded in the masonry structure will be colder (and potentially wetter) after an interior insulation retrofit. Moisture content & relative humidity were monitored at joist ends in historic mass brick masonry walls retrofitted with interior insulation in a cold climate (Zone 5A); data were collected from 2012-2015. Eleven joist ends were monitored in all four orientations. One limitation of these results is that the renovation is still ongoing, with limited wintertime construction heating and no permanent occupancy to date. Measurements show that many joists ends remain at high moisture contents, especially at north- and east-facing orientations, with constant 100% RH conditions at the worst cases. These high moisture levels are not conducive for wood durability, but no evidence for actual structural damage has been observed. Insulated versus non-insulated joist pockets do not show large differences. South facing joists have safe (10-15%) moisture contents. Given the uncertainty pointed out by research, definitive guidance on the vulnerability of embedded wood members is difficult to formulate. In high-risk situations, or when a very conservative approach is warranted, the embedded wood member condition can be eliminated entirely, supporting the joist ends outside of the masonry pocket.

  9. Networked Content Analysis: The case of climate change

    NARCIS (Netherlands)

    Niederer, S.M.C.

    2016-01-01

    Content Analysis has been developed within communication science as a technique to analyze bodies of text for features or (recurring) themes, in order to identify cultural indicators, societal trends and issues. And while Content Analysis has seen a tremendous uptake across scientific disciplines, t

  10. Content Analysis as a Best Practice in Technical Communication Research

    Science.gov (United States)

    Thayer, Alexander; Evans, Mary; McBride, Alicia; Queen, Matt; Spyridakis, Jan

    2007-01-01

    Content analysis is a powerful empirical method for analyzing text, a method that technical communicators can use on the job and in their research. Content analysis can expose hidden connections among concepts, reveal relationships among ideas that initially seem unconnected, and inform the decision-making processes associated with many technical…

  11. Content Analysis of Televised Communication Events: The Presidential Debates.

    Science.gov (United States)

    Jackson-Beeck, Marilyn; Meadow, Robert G.

    1979-01-01

    Advocates the more extended treatment of content analysis in political communication research. Develops a fourfold scheme for classifying verbal and nonverbal communication content and illustrates the use of the scheme in political communication research by analysis of the 1960 and 1976 presidential debates. (JMF)

  12. Networked Content Analysis: The case of climate change

    NARCIS (Netherlands)

    Niederer, S.M.C.

    2016-01-01

    Content Analysis has been developed within communication science as a technique to analyze bodies of text for features or (recurring) themes, in order to identify cultural indicators, societal trends and issues. And while Content Analysis has seen a tremendous uptake across scientific disciplines,

  13. Fluid Analysis of Network Content Dissemination and Cloud Systems

    Science.gov (United States)

    2017-03-06

    Final 3. DATES COVERED (From - To) 01 Sep 2015 to 30 Nov 2016 4. TITLE AND SUBTITLE Fluid analysis of network content dissemination and cloud systems...2015 to 30 Nov 2016 AFOSR GRANT NUMBER: FA9550-15-1-0183 TITLE: Fluid analysis of network content dissemination and cloud systems PI: Fernando

  14. Content Analysis as a Best Practice in Technical Communication Research

    Science.gov (United States)

    Thayer, Alexander; Evans, Mary; McBride, Alicia; Queen, Matt; Spyridakis, Jan

    2007-01-01

    Content analysis is a powerful empirical method for analyzing text, a method that technical communicators can use on the job and in their research. Content analysis can expose hidden connections among concepts, reveal relationships among ideas that initially seem unconnected, and inform the decision-making processes associated with many technical…

  15. Changing the Latitudes and Attitudes about Content Analysis Research

    Science.gov (United States)

    Brank, Eve M.; Fox, Kathleen A.; Youstin, Tasha J.; Boeppler, Lee C.

    2009-01-01

    The current research employs the use of content analysis to teach research methods concepts among students enrolled in an upper division research methods course. Students coded and analyzed Jimmy Buffett song lyrics rather than using a downloadable database or collecting survey data. Students' knowledge of content analysis concepts increased after…

  16. Registered nurses views of caring in coronary care--a deductive and inductive content analysis.

    Science.gov (United States)

    Andersson, Ewa K; Sjöström-Strand, Annica; Willman, Ania; Borglin, Gunilla

    2015-12-01

    To extend nurses' descriptions of how they understood caring, as reflected in the findings of an earlier study (i.e. the hierarchical outcome space) and to gain additional understandings and perspectives of nurses' views of caring in relation to a coronary care patient case. Scientific literature from the 1970s-1990s contains descriptions of caring in nursing. In contrast, the contemporary literature on this topic--particularly in the context of coronary care--is very sparse, and the few studies that do contain descriptions rarely do so from the perspective of nurses. Qualitative descriptive study. Twenty-one nurses were interviewed using the stimulated recall interview technique. The data were analysed using deductive and inductive qualitative content analysis. The results of the iterative and integrated content analysis showed that the data mainly reproduced the content of the hierarchical outcome space describing how nurses could understand caring; however, in the outcome space, the relationship broke up (i.e. flipped). The nurses' views of caring could now also be understood as: person-centredness 'lurking' in the shadows; limited 'potential' for safeguarding patients' best interests; counselling as virtually the 'only' nursing intervention; and caring preceded by the 'almighty' context. Their views offered alternative and, at times, contrasting perspectives of caring, thereby adding to our understanding of it. Caring was described as operating somewhere between the nurses caring values and the contextual conditions in which caring occurred. This challenged their ability to sustain caring in accordance with their values and the patients' preferences. To ensure that the essentials of caring are met at all times, nurses need to plan and deliver caring in a systematic way. The use of systematic structures in caring, as the nursing process, can help nurses to work in a person-centred way, while sustaining their professional values. © 2015 John Wiley & Sons Ltd.

  17. Analysis of Scattering by Inhomogeneous Dielectric Objects Using Higher-Order Hierarchical MoM

    DEFF Research Database (Denmark)

    Kim, Oleksiy S.; Jørgensen, Erik; Meincke, Peter;

    2003-01-01

    developed higher-order hierarchical Legendre basis functions for expansion of the electric flux density and higher-order geometry modeling. An unstructured mesh composed by trilinear (8-node) and/or curved (27-node) hexahedral elements is used to represent the dielectric object accurately. It is shown...

  18. A spatial analysis of hierarchical waste transport structures under growing demand.

    Science.gov (United States)

    Tanguy, Audrey; Glaus, Mathias; Laforest, Valérie; Villot, Jonathan; Hausler, Robert

    2016-10-01

    The design of waste management systems rarely accounts for the spatio-temporal evolution of the demand. However, recent studies suggest that this evolution affects the planning of waste management activities like the choice and location of treatment facilities. As a result, the transport structure could also be affected by these changes. The objective of this paper is to study the influence of the spatio-temporal evolution of the demand on the strategic planning of a waste transport structure. More particularly this study aims at evaluating the effect of varying spatial parameters on the economic performance of hierarchical structures (with one transfer station). To this end, three consecutive generations of three different spatial distributions were tested for hierarchical and non-hierarchical transport structures based on costs minimization. Results showed that a hierarchical structure is economically viable for large and clustered spatial distributions. The distance parameter was decisive but the loading ratio of trucks and the formation of clusters of sources also impacted the attractiveness of the transfer station. Thus the territories' morphology should influence strategies as regards to the installation of transfer stations. The use of spatial-explicit tools such as the transport model presented in this work that take into account the territory's evolution are needed to help waste managers in the strategic planning of waste transport structures.

  19. Hierarchical spatial point process analysis for a plant community with high biodiversity

    DEFF Research Database (Denmark)

    Illian, Janine B.; Møller, Jesper; Waagepetersen, Rasmus

    2009-01-01

    A complex multivariate spatial point pattern of a plant community with high biodiversity is modelled using a hierarchical multivariate point process model. In the model, interactions between plants with different post-fire regeneration strategies are of key interest. We consider initially a maximum...

  20. Evaluating the Impacts of ICT Use: A Multi-Level Analysis with Hierarchical Linear Modeling

    Science.gov (United States)

    Song, Hae-Deok; Kang, Taehoon

    2012-01-01

    The purpose of this study is to evaluate the impacts of ICT use on achievements by considering not only ICT use, but also the process and background variables that influence ICT use at both the student- and school-level. This study was conducted using data from the 2010 Survey of Seoul Education Longitudinal Research. A Hierarchical Linear…

  1. Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis.

    Science.gov (United States)

    Frank, Michael J; Badre, David

    2012-03-01

    Growing evidence suggests that the prefrontal cortex (PFC) is organized hierarchically, with more anterior regions having increasingly abstract representations. How does this organization support hierarchical cognitive control and the rapid discovery of abstract action rules? We present computational models at different levels of description. A neural circuit model simulates interacting corticostriatal circuits organized hierarchically. In each circuit, the basal ganglia gate frontal actions, with some striatal units gating the inputs to PFC and others gating the outputs to influence response selection. Learning at all of these levels is accomplished via dopaminergic reward prediction error signals in each corticostriatal circuit. This functionality allows the system to exhibit conditional if-then hypothesis testing and to learn rapidly in environments with hierarchical structure. We also develop a hybrid Bayesian-reinforcement learning mixture of experts (MoE) model, which can estimate the most likely hypothesis state of individual participants based on their observed sequence of choices and rewards. This model yields accurate probabilistic estimates about which hypotheses are attended by manipulating attentional states in the generative neural model and recovering them with the MoE model. This 2-pronged modeling approach leads to multiple quantitative predictions that are tested with functional magnetic resonance imaging in the companion paper.

  2. Hierarchical linear modeling of longitudinal pedigree data for genetic association analysis

    DEFF Research Database (Denmark)

    Tan, Qihua; B Hjelmborg, Jacob V; Thomassen, Mads;

    2014-01-01

    on the mean level of a phenotype, they are not sufficiently straightforward to handle the kinship correlation on the time-dependent trajectories of a phenotype. We introduce a 2-level hierarchical linear model to separately assess the genetic associations with the mean level and the rate of change...

  3. Hierarchical modeling and inference in ecology: The analysis of data from populations, metapopulations and communities

    Science.gov (United States)

    Royle, J. Andrew; Dorazio, Robert M.

    2008-01-01

    A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics.

  4. Analysis of Joist Masonry Moisture Content Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Ueno, Kohta [Building Science Corporation, Westford, MA (United States)

    2015-10-08

    There are many existing buildings with load-bearing mass masonry walls, whose energy performance could be improved with the retrofit of insulation. However, adding insulation to the interior side of walls of such masonry buildings in cold (and wet) climates may cause performance and durability problems. Some concerns, such as condensation and freeze-thaw have known solutions. But wood members embedded in the masonry structure will be colder (and potentially wetter) after an interior insulation retrofit. Moisture content & relative humidity were monitored at joist ends in historic mass brick masonry walls retrofitted with interior insulation in a cold climate (Zone 5A); data were collected from 2012-2015. Eleven joist ends were monitored in all four orientations. One limitation of these results is that the renovation is still ongoing, with limited wintertime construction heating and no permanent occupancy to date. Measurements show that many joists ends remain at high moisture contents, especially at north- and east-facing orientations, with constant 100% RH conditions at the worst cases. These high moisture levels are not conducive for wood durability, but no evidence for actual structural damage has been observed. Insulated vs. non-insulated joist pockets do not show large differences. South facing joists have safe (10-15%) moisture contents. Given the uncertainty pointed out by research, definitive guidance on the vulnerability of embedded wood members is difficult to formulate. In high-risk situations, or when a very conservative approach is warranted, the embedded wood member condition can be eliminated entirely, supporting the joist ends outside of the masonry pocket.

  5. Cannabis Mobile Apps: A Content Analysis

    Science.gov (United States)

    Popova, Lucy; Grana, Rachel; Zhao, Shirley; Chavez, Kathryn

    2015-01-01

    Background Mobile technology is pervasive and widely used to obtain information about drugs such as cannabis, especially in a climate of rapidly changing cannabis policy; yet the content of available cannabis apps is largely unknown. Understanding the resources available to those searching for cannabis apps will clarify how this technology is being used to reflect and influence cannabis use behavior. Objective We investigated the content of 59 cannabis-related mobile apps for Apple and Android devices as of November 26, 2014. Methods The Apple and Google Play app stores were searched using the terms “cannabis” and “marijuana.” Three trained coders classified the top 20 apps for each term and each store, using a coding guide. Apps were examined for the presence of 20 content codes derived by the researchers. Results Total apps available for each search term were 124 for cannabis and 218 for marijuana in the Apple App Store, and 250 each for cannabis and marijuana on Google Play. The top 20 apps in each category in each store were coded for 59 independent apps (30 Apple, 29 Google Play). The three most common content areas were cannabis strain classification (33.9%), facts about cannabis (20.3%), and games (20.3%). In the Apple App Store, most apps were free (77%), all were rated “17+” years, and the average user rating was 3.9/5 stars. The most popular apps provided cannabis strain classifications (50%), dispensary information (27%), or general facts about cannabis (27%). Only one app (3%) provided information or resources related to cannabis abuse, addiction, or treatment. On Google Play, most apps were free (93%), rated “high maturity” (79%), and the average user rating was 4.1/5. The most popular app types offered games (28%), phone utilities (eg, wallpaper, clock; 21%) and cannabis food recipes (21%); no apps addressed abuse, addiction, or treatment. Conclusions Cannabis apps are generally free and highly rated. Apps were most often informational

  6. Cannabis Mobile Apps: A Content Analysis.

    Science.gov (United States)

    Ramo, Danielle E; Popova, Lucy; Grana, Rachel; Zhao, Shirley; Chavez, Kathryn

    2015-08-12

    Mobile technology is pervasive and widely used to obtain information about drugs such as cannabis, especially in a climate of rapidly changing cannabis policy; yet the content of available cannabis apps is largely unknown. Understanding the resources available to those searching for cannabis apps will clarify how this technology is being used to reflect and influence cannabis use behavior. We investigated the content of 59 cannabis-related mobile apps for Apple and Android devices as of November 26, 2014. The Apple and Google Play app stores were searched using the terms "cannabis" and "marijuana." Three trained coders classified the top 20 apps for each term and each store, using a coding guide. Apps were examined for the presence of 20 content codes derived by the researchers. Total apps available for each search term were 124 for cannabis and 218 for marijuana in the Apple App Store, and 250 each for cannabis and marijuana on Google Play. The top 20 apps in each category in each store were coded for 59 independent apps (30 Apple, 29 Google Play). The three most common content areas were cannabis strain classification (33.9%), facts about cannabis (20.3%), and games (20.3%). In the Apple App Store, most apps were free (77%), all were rated "17+" years, and the average user rating was 3.9/5 stars. The most popular apps provided cannabis strain classifications (50%), dispensary information (27%), or general facts about cannabis (27%). Only one app (3%) provided information or resources related to cannabis abuse, addiction, or treatment. On Google Play, most apps were free (93%), rated "high maturity" (79%), and the average user rating was 4.1/5. The most popular app types offered games (28%), phone utilities (eg, wallpaper, clock; 21%) and cannabis food recipes (21%); no apps addressed abuse, addiction, or treatment. Cannabis apps are generally free and highly rated. Apps were most often informational (facts, strain classification), or recreational (games), likely

  7. Page Layout Analysis of the Document Image Based on the Region Classification in a Decision Hierarchical Structure

    Directory of Open Access Journals (Sweden)

    Hossein Pourghassem

    2010-10-01

    Full Text Available The conversion of document image to its electronic version is a very important problem in the saving, searching and retrieval application in the official automation system. For this purpose, analysis of the document image is necessary. In this paper, a hierarchical classification structure based on a two-stage segmentation algorithm is proposed. In this structure, image is segmented using the proposed two-stage segmentation algorithm. Then, the type of the image regions such as document and non-document image is determined using multiple classifiers in the hierarchical classification structure. The proposed segmentation algorithm uses two algorithms based on wavelet transform and thresholding. Texture features such as correlation, homogeneity and entropy that extracted from co-occurrenc matrix and also two new features based on wavelet transform are used to classifiy and lable the regions of the image. The hierarchical classifier is consisted of two Multilayer Perceptron (MLP classifiers and a Support Vector Machine (SVM classifier. The proposed algorithm is evaluated on a database consisting of document and non-document images that provides from Internet. The experimental results show the efficiency of the proposed approach in the region segmentation and classification. The proposed algorithm provides accuracy rate of 97.5% on classification of the regions.

  8. Hierarchical photocatalysts.

    Science.gov (United States)

    Li, Xin; Yu, Jiaguo; Jaroniec, Mietek

    2016-05-01

    As a green and sustainable technology, semiconductor-based heterogeneous photocatalysis has received much attention in the last few decades because it has potential to solve both energy and environmental problems. To achieve efficient photocatalysts, various hierarchical semiconductors have been designed and fabricated at the micro/nanometer scale in recent years. This review presents a critical appraisal of fabrication methods, growth mechanisms and applications of advanced hierarchical photocatalysts. Especially, the different synthesis strategies such as two-step templating, in situ template-sacrificial dissolution, self-templating method, in situ template-free assembly, chemically induced self-transformation and post-synthesis treatment are highlighted. Finally, some important applications including photocatalytic degradation of pollutants, photocatalytic H2 production and photocatalytic CO2 reduction are reviewed. A thorough assessment of the progress made in photocatalysis may open new opportunities in designing highly effective hierarchical photocatalysts for advanced applications ranging from thermal catalysis, separation and purification processes to solar cells.

  9. Methodological challenges in qualitative content analysis: A discussion paper.

    Science.gov (United States)

    Graneheim, Ulla H; Lindgren, Britt-Marie; Lundman, Berit

    2017-09-01

    This discussion paper is aimed to map content analysis in the qualitative paradigm and explore common methodological challenges. We discuss phenomenological descriptions of manifest content and hermeneutical interpretations of latent content. We demonstrate inductive, deductive, and abductive approaches to qualitative content analysis, and elaborate on the level of abstraction and degree of interpretation used in constructing categories, descriptive themes, and themes of meaning. With increased abstraction and interpretation comes an increased challenge to demonstrate the credibility and authenticity of the analysis. A key issue is to show the logic in how categories and themes are abstracted, interpreted, and connected to the aim and to each other. Qualitative content analysis is an autonomous method and can be used at varying levels of abstraction and interpretation. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. A geostatistics-informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling: GEOSTATISTICAL SENSITIVITY ANALYSIS

    Energy Technology Data Exchange (ETDEWEB)

    Dai, Heng [Pacific Northwest National Laboratory, Richland Washington USA; Chen, Xingyuan [Pacific Northwest National Laboratory, Richland Washington USA; Ye, Ming [Department of Scientific Computing, Florida State University, Tallahassee Florida USA; Song, Xuehang [Pacific Northwest National Laboratory, Richland Washington USA; Zachara, John M. [Pacific Northwest National Laboratory, Richland Washington USA

    2017-05-01

    Sensitivity analysis is an important tool for quantifying uncertainty in the outputs of mathematical models, especially for complex systems with a high dimension of spatially correlated parameters. Variance-based global sensitivity analysis has gained popularity because it can quantify the relative contribution of uncertainty from different sources. However, its computational cost increases dramatically with the complexity of the considered model and the dimension of model parameters. In this study we developed a hierarchical sensitivity analysis method that (1) constructs an uncertainty hierarchy by analyzing the input uncertainty sources, and (2) accounts for the spatial correlation among parameters at each level of the hierarchy using geostatistical tools. The contribution of uncertainty source at each hierarchy level is measured by sensitivity indices calculated using the variance decomposition method. Using this methodology, we identified the most important uncertainty source for a dynamic groundwater flow and solute transport in model at the Department of Energy (DOE) Hanford site. The results indicate that boundary conditions and permeability field contribute the most uncertainty to the simulated head field and tracer plume, respectively. The relative contribution from each source varied spatially and temporally as driven by the dynamic interaction between groundwater and river water at the site. By using a geostatistical approach to reduce the number of realizations needed for the sensitivity analysis, the computational cost of implementing the developed method was reduced to a practically manageable level. The developed sensitivity analysis method is generally applicable to a wide range of hydrologic and environmental problems that deal with high-dimensional spatially-distributed parameters.

  11. Content Analysis for Proactive Protective Intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Sanfilippo, Antonio P.

    2010-12-15

    The aim of this paper is to outline a plan for developing and validating a Proactive Protective Intelligence approach that prevents targeted violence through the analysis and assessment of threats overtly or covertly expressed in abnormal communications to USSS protectees.

  12. Prototype for Meta-Algorithmic, Content-Aware Image Analysis

    Science.gov (United States)

    2015-03-01

    PROTOTYPE FOR META- ALGORITHMIC , CONTENT-AWARE IMAGE ANALYSIS UNIVERSITY OF VIRGINIA MARCH 2015 FINAL TECHNICAL REPORT...Visual Object Recognition : A Review." IEEE Trans. on Pattern Analysis and Machine Analysis , 2013. [32] Rakotomamonjy A., Bach F., Canu S., Y...Learning a Discriminative Dictionary for Recognition ," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 11, pp. 2651 - 2664

  13. Analysis of intra-genomic GC content homogeneity within prokaryotes

    DEFF Research Database (Denmark)

    Bohlin, J; Snipen, L; Hardy, S.P.

    2010-01-01

    both aerobic and facultative microbes. Although an association has previously been found between mean genomic GC content and oxygen requirement, our analysis suggests that no such association exits when phylogenetic bias is accounted for. A significant association between GCVAR and mean GC content......Bacterial genomes possess varying GC content (total guanines (Gs) and cytosines (Cs) per total of the four bases within the genome) but within a given genome, GC content can vary locally along the chromosome, with some regions significantly more or less GC rich than on average. We have examined how...... the GC content varies within microbial genomes to assess whether this property can be associated with certain biological functions related to the organism's environment and phylogeny. We utilize a new quantity GCVAR, the intra-genomic GC content variability with respect to the average GC content...

  14. Thermodynamic analysis on an anisotropically superhydrophobic surface with a hierarchical structure

    Science.gov (United States)

    Zhao, Jieliang; Su, Zhengliang; Yan, Shaoze

    2015-12-01

    Superhydrophobic surfaces, which refer to the surfaces with contact angle higher than 150° and hysteresis less than 10°, have been reported in various studies. However, studies on the superhydrophobicity of anisotropic, hierarchical surfaces are limited and the corresponding thermodynamic mechanisms could not be explained thoroughly. Here we propose a simplified surface model of anisotropic patterned surface with dual scale roughness. Based on the thermodynamic method, we calculate the equilibrium contact angle (ECA) and the contact angle hysteresis (CAH) on the given surface. We show here that the hierarchical structure has much better anisotropic wetting properties than the single-scale one, and the results shed light on the potential application in controllable micro-/nano-fluidic systems. Our studies can be potentially applied for the fabrication of anisotropically superhydrophobic surfaces.

  15. Sugar content of popular sweetened beverages based on objective laboratory analysis: focus on fructose content.

    Science.gov (United States)

    Ventura, Emily E; Davis, Jaimie N; Goran, Michael I

    2011-04-01

    The consumption of fructose, largely in the form of high fructose corn syrup (HFCS), has risen over the past several decades and is thought to contribute negatively to metabolic health. However, the fructose content of foods and beverages produced with HFCS is not disclosed and estimates of fructose content are based on the common assumption that the HFCS used contains 55% fructose. The objective of this study was to conduct an objective laboratory analysis of the sugar content and composition in popular sugar-sweetened beverages with a particular focus on fructose content. Twenty-three sugar-sweetened beverages along with four standard solutions were analyzed for sugar profiles using high-performance liquid chromatography (HPLC) in an independent, certified laboratory. Total sugar content was calculated as well as percent fructose in the beverages that use HFCS as the sole source of fructose. Results showed that the total sugar content of the beverages ranged from 85 to 128% of what was listed on the food label. The mean fructose content in the HFCS used was 59% (range 47-65%) and several major brands appear to be produced with HFCS that is 65% fructose. Finally, the sugar profile analyses detected forms of sugar that were inconsistent with what was listed on the food labels. This analysis revealed significant deviations in sugar amount and composition relative to disclosures from producers. In addition, the tendency for use of HFCS that is higher in fructose could be contributing to higher fructose consumption than would otherwise be assumed.

  16. Thermodynamic analysis on an anisotropically superhydrophobic surface with a hierarchical structure

    Energy Technology Data Exchange (ETDEWEB)

    Zhao, Jieliang [Division of Intelligent and Biomechanical Systems, State Key Laboratory of Tribology, Tsinghua University, Room 3407, Building 9003, 100084 Beijing (China); Su, Zhengliang [Division of Intelligent and Biomechanical Systems, State Key Laboratory of Tribology, Tsinghua University, Room 3407, Building 9003, 100084 Beijing (China); Department of Automotive Engineering, Tsinghua University, Beijing 100084 (China); Yan, Shaoze, E-mail: yansz@mail.tsinghua.edu.cn [Division of Intelligent and Biomechanical Systems, State Key Laboratory of Tribology, Tsinghua University, Room 3407, Building 9003, 100084 Beijing (China)

    2015-12-01

    Graphical abstract: - Highlights: • We model the superhydrophobic surface with anisotropic and hierarchical structure. • Anisotropic wetting only shows in noncomposite state (not in composite state). • Transition from noncomposite to composite state on dual-scale structure is hard. • Droplets tend to roll in the particular direction. • Droplets tend to stably remain in one preferred thermodynamic state. - Abstract: Superhydrophobic surfaces, which refer to the surfaces with contact angle higher than 150° and hysteresis less than 10°, have been reported in various studies. However, studies on the superhydrophobicity of anisotropic, hierarchical surfaces are limited and the corresponding thermodynamic mechanisms could not be explained thoroughly. Here we propose a simplified surface model of anisotropic patterned surface with dual scale roughness. Based on the thermodynamic method, we calculate the equilibrium contact angle (ECA) and the contact angle hysteresis (CAH) on the given surface. We show here that the hierarchical structure has much better anisotropic wetting properties than the single-scale one, and the results shed light on the potential application in controllable micro-/nano-fluidic systems. Our studies can be potentially applied for the fabrication of anisotropically superhydrophobic surfaces.

  17. Reviewing Children's Books: A Content Analysis.

    Science.gov (United States)

    Bishop, Kay; Van Orden, Phyllis

    1998-01-01

    An analysis of 599 reviews of children's books from six reviewing journals for 1995-96 was compared to earlier studies, revealing great variation in adequacy of reviews. School Library Journal provided the most complete bibliographic and ordering information but no single journal supplied all the information librarians need for purchasing juvenile…

  18. Content analysis of sexual fantasies of males and females.

    Science.gov (United States)

    Rokach, A

    1990-07-01

    Content analysis of the sexual fantasies of 87 community college and university students revealed no significant sex differences in the content of sexual fantasies. Both men and women preferred traditional and facilitative fantasies. Because this study was explorative, however, further research is required to validate the suggested scale and replicate these results.

  19. 20 Years of the MENC Biennial Conference: A Content Analysis

    Science.gov (United States)

    Palkki, Joshua; Albert, Daniel J.; Hill, Stuart Chapman; Shaw, Ryan D.

    2016-01-01

    The purpose of this study was to investigate the content and intended audiences for educational sessions offered at MENC biennial conferences in order to illuminate trends and topics in professional development. The researchers performed a content analysis of each session (N?= 2,593) using program booklets from conferences between 1988 and 2008,…

  20. 20 Years of the MENC Biennial Conference: A Content Analysis

    Science.gov (United States)

    Palkki, Joshua; Albert, Daniel J.; Hill, Stuart Chapman; Shaw, Ryan D.

    2016-01-01

    The purpose of this study was to investigate the content and intended audiences for educational sessions offered at MENC biennial conferences in order to illuminate trends and topics in professional development. The researchers performed a content analysis of each session (N?= 2,593) using program booklets from conferences between 1988 and 2008,…

  1. [The hierarchical clustering analysis of hyperspectral image based on probabilistic latent semantic analysis].

    Science.gov (United States)

    Yi, Wen-Bin; Shen, Li; Qi, Yin-Feng; Tang, Hong

    2011-09-01

    The paper introduces the Probabilistic Latent Semantic Analysis (PLSA) to the image clustering and an effective image clustering algorithm using the semantic information from PLSA is proposed which is used for hyperspectral images. Firstly, the ISODATA algorithm is used to obtain the initial clustering result of hyperspectral image and the clusters of the initial clustering result are considered as the visual words of the PLSA. Secondly, the object-oriented image segmentation algorithm is used to partition the hyperspectral image and segments with relatively pure pixels are regarded as documents in PLSA. Thirdly, a variety of identification methods which can estimate the best number of cluster centers is combined to get the number of latent semantic topics. Then the conditional distributions of visual words in topics and the mixtures of topics in different documents are estimated by using PLSA. Finally, the conditional probabilistic of latent semantic topics are distinguished using statistical pattern recognition method, the topic type for each visual in each document will be given and the clustering result of hyperspectral image are then achieved. Experimental results show the clusters of the proposed algorithm are better than K-MEANS and ISODATA in terms of object-oriented property and the clustering result is closer to the distribution of real spatial distribution of surface.

  2. Neighborhood social capital and crime victimization: comparison of spatial regression analysis and hierarchical regression analysis.

    Science.gov (United States)

    Takagi, Daisuke; Ikeda, Ken'ichi; Kawachi, Ichiro

    2012-11-01

    Crime is an important determinant of public health outcomes, including quality of life, mental well-being, and health behavior. A body of research has documented the association between community social capital and crime victimization. The association between social capital and crime victimization has been examined at multiple levels of spatial aggregation, ranging from entire countries, to states, metropolitan areas, counties, and neighborhoods. In multilevel analysis, the spatial boundaries at level 2 are most often drawn from administrative boundaries (e.g., Census tracts in the U.S.). One problem with adopting administrative definitions of neighborhoods is that it ignores spatial spillover. We conducted a study of social capital and crime victimization in one ward of Tokyo city, using a spatial Durbin model with an inverse-distance weighting matrix that assigned each respondent a unique level of "exposure" to social capital based on all other residents' perceptions. The study is based on a postal questionnaire sent to 20-69 years old residents of Arakawa Ward, Tokyo. The response rate was 43.7%. We examined the contextual influence of generalized trust, perceptions of reciprocity, two types of social network variables, as well as two principal components of social capital (constructed from the above four variables). Our outcome measure was self-reported crime victimization in the last five years. In the spatial Durbin model, we found that neighborhood generalized trust, reciprocity, supportive networks and two principal components of social capital were each inversely associated with crime victimization. By contrast, a multilevel regression performed with the same data (using administrative neighborhood boundaries) found generally null associations between neighborhood social capital and crime. Spatial regression methods may be more appropriate for investigating the contextual influence of social capital in homogeneous cultural settings such as Japan.

  3. A Content Analysis of Business Schools in the United States

    OpenAIRE

    杉本, 徹雄

    1992-01-01

    A content analysis was performed for data of business schools in the United States published in "The Official Guide to MBA Programs (1988)." Data of three hundred and sixty-one business schools were used for the analysis. The major contents are the analyses for the program of study offered and the characteristics of most recent students in each business school. Seventeen programs of study offered are made up of management, management-related, and management-peripheral. All programs are offere...

  4. Deep learning, audio adversaries, and music content analysis

    DEFF Research Database (Denmark)

    Kereliuk, Corey Mose; Sturm, Bob L.; Larsen, Jan

    2015-01-01

    We present the concept of adversarial audio in the context of deep neural networks (DNNs) for music content analysis. An adversary is an algorithm that makes minor perturbations to an input that cause major repercussions to the system response. In particular, we design an adversary for a DNN...... filtering of the input. Finally, we discuss adversaries in the broader context of the evaluation of music content analysis systems....

  5. Analysis of Hierarchical Diff-EDF Schedulability over Heterogeneous Real-Time Packet Networks

    Directory of Open Access Journals (Sweden)

    M. Saleh

    2007-01-01

    Full Text Available Packet networks are currently enabling the integration of traffic with a wide range of characteristics that extend from video traffic with stringent QoS requirements to the best-effort traffic requiring no guarantees. QoS guarantees can be provided in conventional packet networks by the use of proper packet scheduling algorithms. As a computer revolution, many scheduling algorithms have been proposed to provide different schemes of QoS guarantees with Earliest Deadline First (EDF as the most popular one. With EDF scheduling, all flows receive the same miss rate regardless of their traffic characteristics and deadlines. This makes the standard EDF algorithm unsuitable for situations in which the different flows have different miss rate requirements since in order to meet all miss rate requirements it is necessary to limit admissions so as to satisfy the flow with the most stringent miss rate requirements. In this paper, we propose a new priority assignment scheduling algorithm, Hierarchal Diff-EDF (Differentiate Earliest Deadline First, which can meet the real-time needs of these applications while continuing to provide best effort service to non-real time traffic. The Hierarchal Diff-EDF features a feedback control mechanism that detects overload conditions and modifies packet priority assignments accordingly. To examine our proposed scheduler model, we introduced our attempt to provide an exact analytical solution. The attempt showed that the solution was apparently very complicated due to the high interdependence between the system queues' service. Hence, the use of simulation techniques seems inevitable. The simulation results showed that the Hierarchical Diff-EDF achieved the minimum packet average delay when compared with both EDF and Diff-EDF schedulers.

  6. Neighborhood Predictors of Intimate Partner Violence: A Theory-Informed Analysis Using Hierarchical Linear Modeling.

    Science.gov (United States)

    Voith, Laura A; Brondino, Michael J

    2017-09-01

    Due to high prevalence rates and deleterious effects on individuals, families, and communities, intimate partner violence (IPV) is a significant public health problem. Because IPV occurs in the context of communities and neighborhoods, research must examine the broader environment in addition to individual-level factors to successfully facilitate behavior change. Drawing from the Social Determinants of Health framework and Social Disorganization Theory, neighborhood predictors of IPV were tested using hierarchical linear modeling. Results indicated that concentrated disadvantage and female-to-male partner violence were robust predictors of women's IPV victimization. Implications for theory, practice, and policy, and future research are discussed. © Society for Community Research and Action 2017.

  7. HILIC-UPLC-MS/MS combined with hierarchical clustering analysis to rapidly analyze and evaluate nucleobases and nucleosides in Ginkgo biloba leaves.

    Science.gov (United States)

    Yao, Xin; Zhou, Guisheng; Tang, Yuping; Guo, Sheng; Qian, Dawei; Duan, Jin-Ao

    2015-02-01

    Ginkgo biloba leaf extract has been widely used in dietary supplements and more recently in some foods and beverages. In addition to the well-known flavonol glycosides and terpene lactones, G. biloba leaves are also rich in nucleobases and nucleosides. To determine the content of nucleobases and nucleosides in G. biloba leaves at trace levels, a reliable method has been established by using hydrophilic interaction ultra performance liquid chromatography coupled with triple-quadrupole tandem mass spectrometry (HILIC-UPLC-TQ-MS/MS) working in multiple reaction monitoring mode. Eleven nucleobases and nucleosides were simultaneously determined in seven min. The proposed method was fully validated in terms of linearity, sensitivity, and repeatability, as well as recovery. Furthermore, hierarchical clustering analysis (HCA) was performed to evaluate and classify the samples according to the contents of the eleven chemical constituents. The established approach could be helpful for evaluation of the potential values as dietary supplements and the quality control of G. biloba leaves, which might also be utilized for the investigation of other medicinal herbs containing nucleobases and nucleosides.

  8. Course transformation: Content, structure and effectiveness analysis

    Science.gov (United States)

    DuHadway, Linda P.

    The organization of learning materials is often limited by the systems available for delivery of such material. Currently, the learning management system (LMS) is widely used to distribute course materials. These systems deliver the material in a text-based, linear way. As online education continues to expand and educators seek to increase their effectiveness by adding more effective active learning strategies, these delivery methods become a limitation. This work demonstrates the possibility of presenting course materials in a graphical way that expresses important relations and provides support for manipulating the order of those materials. The ENABLE system gathers data from an existing course, uses text analysis techniques, graph theory, graph transformation, and a user interface to create and present graphical course maps. These course maps are able to express information not currently available in the LMS. Student agents have been developed to traverse these course maps to identify the variety of possible paths through the material. The temporal relations imposed by the current course delivery methods have been replaced by prerequisite relations that express ordering that provides educational value. Reducing the connections to these more meaningful relations allows more possibilities for change. Technical methods are used to explore and calibrate linear and nonlinear models of learning. These methods are used to track mastery of learning material and identify relative difficulty values. Several probability models are developed and used to demonstrate that data from existing, temporally based courses can be used to make predictions about student success in courses using the same material but organized without the temporal limitations. Combined, these demonstrate the possibility of tools and techniques that can support the implementation of a graphical course map that allows varied paths and provides an enriched, more informative interface between the educator

  9. THE ANALYSIS OF THIN WALLED COMPOSITE LAMINATED HELICOPTER ROTOR WITH HIERARCHICAL WARPING FUNCTIONS AND FINITE ELEMENT METHOD

    Institute of Scientific and Technical Information of China (English)

    诸德超; 邓忠民; 王荇卫

    2001-01-01

    In the present paper, a series of hierarchical warping functions is developed to analyze the static and dynamic problems of thin walled composite laminated helicopter rotors composed of several layers with single closed cell. This ethod is the development and extension of the traditional constrained warping theory of thin walled metallic beams, which had been proved very successful since 1940s. The warping distribution along the perimeter of each layer is expanded into a series of successively corrective warping functions with the traditional warping function caused by free torsion or free bending as the first term, and is assumed to be piecewise linear along the thickness direction of layers. The governing equations are derived based upon the variational principle of minimum potential energy for static analysis and Rayleigh Quotient for free vibration analysis. Then the hierarchical finite element method is introduced to form a numerical algorithm. Both static and natural vibration problems of sample box beams are analyzed with the present method to show the main mechanical behavior of the thin walled composite laminated helicopter rotor.

  10. Investigating the effects of climate variations on bacillary dysentery incidence in northeast China using ridge regression and hierarchical cluster analysis

    Directory of Open Access Journals (Sweden)

    Guo Junqiao

    2008-09-01

    Full Text Available Abstract Background The effects of climate variations on bacillary dysentery incidence have gained more recent concern. However, the multi-collinearity among meteorological factors affects the accuracy of correlation with bacillary dysentery incidence. Methods As a remedy, a modified method to combine ridge regression and hierarchical cluster analysis was proposed for investigating the effects of climate variations on bacillary dysentery incidence in northeast China. Results All weather indicators, temperatures, precipitation, evaporation and relative humidity have shown positive correlation with the monthly incidence of bacillary dysentery, while air pressure had a negative correlation with the incidence. Ridge regression and hierarchical cluster analysis showed that during 1987–1996, relative humidity, temperatures and air pressure affected the transmission of the bacillary dysentery. During this period, all meteorological factors were divided into three categories. Relative humidity and precipitation belonged to one class, temperature indexes and evaporation belonged to another class, and air pressure was the third class. Conclusion Meteorological factors have affected the transmission of bacillary dysentery in northeast China. Bacillary dysentery prevention and control would benefit from by giving more consideration to local climate variations.

  11. A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering

    Directory of Open Access Journals (Sweden)

    Xiaowei Li

    2017-01-01

    Full Text Available A large number of studies demonstrated that major depressive disorder (MDD is characterized by the alterations in brain functional connections which is also identifiable during the brain’s “resting-state.” But, in the present study, the approach of constructing functional connectivity is often biased by the choice of the threshold. Besides, more attention was paid to the number and length of links in brain networks, and the clustering partitioning of nodes was unclear. Therefore, minimum spanning tree (MST analysis and the hierarchical clustering were first used for the depression disease in this study. Resting-state electroencephalogram (EEG sources were assessed from 15 healthy and 23 major depressive subjects. Then the coherence, MST, and the hierarchical clustering were obtained. In the theta band, coherence analysis showed that the EEG coherence of the MDD patients was significantly higher than that of the healthy controls especially in the left temporal region. The MST results indicated the higher leaf fraction in the depressed group. Compared with the normal group, the major depressive patients lost clustering in frontal regions. Our findings suggested that there was a stronger brain interaction in the MDD group and a left-right functional imbalance in the frontal regions for MDD controls.

  12. Analysis of intra-genomic GC content homogeneity within prokaryotes

    Directory of Open Access Journals (Sweden)

    Bohlin Jon

    2010-08-01

    Full Text Available Abstract Background Bacterial genomes possess varying GC content (total guanines (Gs and cytosines (Cs per total of the four bases within the genome but within a given genome, GC content can vary locally along the chromosome, with some regions significantly more or less GC rich than on average. We have examined how the GC content varies within microbial genomes to assess whether this property can be associated with certain biological functions related to the organism's environment and phylogeny. We utilize a new quantity GCVAR, the intra-genomic GC content variability with respect to the average GC content of the total genome. A low GCVAR indicates intra-genomic GC homogeneity and high GCVAR heterogeneity. Results The regression analyses indicated that GCVAR was significantly associated with domain (i.e. archaea or bacteria, phylum, and oxygen requirement. GCVAR was significantly higher among anaerobes than both aerobic and facultative microbes. Although an association has previously been found between mean genomic GC content and oxygen requirement, our analysis suggests that no such association exits when phylogenetic bias is accounted for. A significant association between GCVAR and mean GC content was also found but appears to be non-linear and varies greatly among phyla. Conclusions Our findings show that GCVAR is linked with oxygen requirement, while mean genomic GC content is not. We therefore suggest that GCVAR should be used as a complement to mean GC content.

  13. Health and nutrition content claims on websites advertising infant formula available in Australia: A content analysis.

    Science.gov (United States)

    Berry, Nina J; Gribble, Karleen D

    2017-10-01

    The use of health and nutrition content claims in infant formula advertising is restricted by many governments in response to WHO policies and WHA resolutions. The purpose of this study was to determine whether such prohibited claims could be observed in Australian websites that advertise infant formula products. A comprehensive internet search was conducted to identify websites that advertise infant formula available for purchase in Australia. Content analysis was used to identify prohibited claims. The coding frame was closely aligned with the provisions of the Australian and New Zealand Food Standard Code, which prohibits these claims. The outcome measures were the presence of health claims, nutrition content claims, or references to the nutritional content of human milk. Web pages advertising 25 unique infant formula products available for purchase in Australia were identified. Every advertisement (100%) contained at least one health claim. Eighteen (72%) also contained at least one nutrition content claim. Three web pages (12%) advertising brands associated with infant formula products referenced the nutritional content of human milk. All of these claims appear in spite of national regulations prohibiting them indicating a failure of monitoring and/or enforcement. Where countries have enacted instruments to prohibit health and other claims in infant formula advertising, the marketing of infant formula must be actively monitored to be effective. © 2016 John Wiley & Sons Ltd.

  14. Hierarchical Model for the Analysis of Scattering Data of Complex Materials

    Science.gov (United States)

    Oyedele, Akinola; Mcnutt, Nicholas W.; Rios, Orlando; Keffer, David J.

    2016-06-01

    Interpreting the results of scattering data for complex materials with a hierarchical structure in which at least one phase is amorphous presents a significant challenge. Often the interpretation relies on the use of large-scale molecular dynamics (MD) simulations, in which a structure is hypothesized and from which a radial distribution function (RDF) can be extracted and directly compared against an experimental RDF. This computationally intensive approach presents a bottleneck in the efficient characterization of the atomic structure of new materials. Here, we propose and demonstrate an approach for a hierarchical decomposition of the RDF in which MD simulations are replaced by a combination of tractable models and theory at the atomic scale and the mesoscale, which when combined yield the RDF. We apply the procedure to a carbon composite, in which graphitic nanocrystallites are distributed in an amorphous domain. We compare the model with the RDF from both MD simulation and neutron scattering data. This procedure is applicable for understanding the fundamental processing-structure-property relationships in complex magnetic materials.

  15. Analysis of household data on influenza epidemic with Bayesian hierarchical model.

    Science.gov (United States)

    Hsu, C Y; Yen, A M F; Chen, L S; Chen, H H

    2015-03-01

    Data used for modelling the household transmission of infectious diseases, such as influenza, have inherent multilevel structures and correlated property, which make the widely used conventional infectious disease transmission models (including the Greenwood model and the Reed-Frost model) not directly applicable within the context of a household (due to the crowded domestic condition or socioeconomic status of the household). Thus, at the household level, the effects resulting from individual-level factors, such as vaccination, may be confounded or modified in some way. We proposed the Bayesian hierarchical random-effects (random intercepts and random slopes) model under the context of generalised linear model to capture heterogeneity and variation on the individual, generation, and household levels. It was applied to empirical surveillance data on the influenza epidemic in Taiwan. The parameters of interest were estimated by using the Markov chain Monte Carlo method in conjunction with the Bayesian directed acyclic graphical models. Comparisons between models were made using the deviance information criterion. Based on the result of the random-slope Bayesian hierarchical method under the context of the Reed-Frost transmission model, the regression coefficient regarding the protective effect of vaccination varied statistically significantly from household to household. The result of such a heterogeneity was robust to the use of different prior distributions (including non-informative, sceptical, and enthusiastic ones). By integrating out the uncertainty of the parameters of the posterior distribution, the predictive distribution was computed to forecast the number of influenza cases allowing for random-household effect.

  16. Hierarchical Bayesian Analysis of Biased Beliefs and Distributional Other-Regarding Preferences

    Directory of Open Access Journals (Sweden)

    Jeroen Weesie

    2013-02-01

    Full Text Available This study investigates the relationship between an actor’s beliefs about others’ other-regarding (social preferences and her own other-regarding preferences, using an “avant-garde” hierarchical Bayesian method. We estimate two distributional other-regarding preference parameters, α and β, of actors using incentivized choice data in binary Dictator Games. Simultaneously, we estimate the distribution of actors’ beliefs about others α and β, conditional on actors’ own α and β, with incentivized belief elicitation. We demonstrate the benefits of the Bayesian method compared to it’s hierarchical frequentist counterparts. Results show a positive association between an actor’s own (α; β and her beliefs about average(α; β in the population. The association between own preferences and the variance in beliefs about others’ preferences in the population, however, is curvilinear for α and insignificant for β. These results are partially consistent with the cone effect [1,2] which is described in detail below. Because in the Bayesian-Nash equilibrium concept, beliefs and own preferences are assumed to be independent, these results cast doubt on the application of the Bayesian-Nash equilibrium concept to experimental data.

  17. Statistical models of video structure for content analysis and characterization.

    Science.gov (United States)

    Vasconcelos, N; Lippman, A

    2000-01-01

    Content structure plays an important role in the understanding of video. In this paper, we argue that knowledge about structure can be used both as a means to improve the performance of content analysis and to extract features that convey semantic information about the content. We introduce statistical models for two important components of this structure, shot duration and activity, and demonstrate the usefulness of these models with two practical applications. First, we develop a Bayesian formulation for the shot segmentation problem that is shown to extend the standard thresholding model in an adaptive and intuitive way, leading to improved segmentation accuracy. Second, by applying the transformation into the shot duration/activity feature space to a database of movie clips, we also illustrate how the Bayesian model captures semantic properties of the content. We suggest ways in which these properties can be used as a basis for intuitive content-based access to movie libraries.

  18. Content Analysis in Library and Information Science Research.

    Science.gov (United States)

    Allen, Bryce; Reser, David

    1990-01-01

    Describes ways in which content analysis is being used in library and information science research. Methodological concerns are addressed, including selection of target documents, selection of samples to be analyzed, selection of categories for analysis, and elimination of researcher bias to assure reliability. (35 references) (LRW)

  19. Content Analysis of a Computer-Based Faculty Activity Repository

    Science.gov (United States)

    Baker-Eveleth, Lori; Stone, Robert W.

    2013-01-01

    The research presents an analysis of faculty opinions regarding the introduction of a new computer-based faculty activity repository (FAR) in a university setting. The qualitative study employs content analysis to better understand the phenomenon underlying these faculty opinions and to augment the findings from a quantitative study. A web-based…

  20. Contents

    Directory of Open Access Journals (Sweden)

    Editor IJRED

    2012-11-01

    Full Text Available International Journal of Renewable Energy Development www.ijred.com Volume 1             Number 3            October 2012                ISSN 2252- 4940   CONTENTS OF ARTICLES page Design and Economic Analysis of a Photovoltaic System: A Case Study 65-73 C.O.C. Oko , E.O. Diemuodeke, N.F. Omunakwe, and E. Nnamdi     Development of Formaldehyde Adsorption using Modified Activated Carbon – A Review 75-80 W.D.P Rengga , M. Sudibandriyo and M. Nasikin     Process Optimization for Ethyl Ester Production in Fixed Bed Reactor Using Calcium Oxide Impregnated Palm Shell Activated Carbon (CaO/PSAC 81-86 A. Buasri , B. Ksapabutr, M. Panapoy and N. Chaiyut     Wind Resource Assessment in Abadan Airport in Iran 87-97 Mojtaba Nedaei       The Energy Processing by Power Electronics and its Impact on Power Quality 99-105 J. E. Rocha and B. W. D. C. Sanchez       First Aspect of Conventional Power System Assessment for High Wind Power Plants Penetration 107-113 A. Merzic , M. Music, and M. Rascic   Experimental Study on the Production of Karanja Oil Methyl Ester and Its Effect on Diesel Engine 115-122 N. Shrivastava,  , S.N. Varma and M. Pandey  

  1. Content Analysis as a Foundation for Programmatic Research in Communication

    Science.gov (United States)

    Slater, Michael D.

    2013-01-01

    Previous arguments that content analyses provide the descriptive foundation for media effects research (McLeod & Reeves, 1980) are extended to include that content analyses can provide a sound and useful foundation for programmatic research by individual communication scientists. I discuss examples from my own work and from that of colleagues in communication and related disciplines. Use of messages sampled and coded in a content analysis in combination with survey data sets or as stimuli in experiments are highlighted. The particular potential for employing larger numbers of randomly sampled messages in experimental designs, and, with use of appropriate statistical methods, being able to generalize to populations of messages, is described. PMID:23914276

  2. Multimedia Content Analysis and Indexing for Filtering and Retrieval Applications

    Directory of Open Access Journals (Sweden)

    N. Dimitrova

    1999-01-01

    Full Text Available Today’s multimedia landscape depends on advances in data compression technology coupled with high-bandwidth networks and storage capacity. Given its size and nature, how can multimedia content be analyzed and  indexed?  This paper surveys techniques for content-based analysis, retrieval and filtering of digital images, audio and video and focuses on basic methods for extracting features that will enable indexing and search applications. [ed.

  3. Multimedia Content Analysis and Indexing for Filtering and Retrieval Applications

    OpenAIRE

    1999-01-01

    Today’s multimedia landscape depends on advances in data compression technology coupled with high-bandwidth networks and storage capacity. Given its size and nature, how can multimedia content be analyzed and  indexed?  This paper surveys techniques for content-based analysis, retrieval and filtering of digital images, audio and video and focuses on basic methods for extracting features that will enable indexing and search applications. [ed.

  4. Hierarchical video summarization

    Science.gov (United States)

    Ratakonda, Krishna; Sezan, M. Ibrahim; Crinon, Regis J.

    1998-12-01

    We address the problem of key-frame summarization of vide in the absence of any a priori information about its content. This is a common problem that is encountered in home videos. We propose a hierarchical key-frame summarization algorithm where a coarse-to-fine key-frame summary is generated. A hierarchical key-frame summary facilitates multi-level browsing where the user can quickly discover the content of the video by accessing its coarsest but most compact summary and then view a desired segment of the video with increasingly more detail. At the finest level, the summary is generated on the basis of color features of video frames, using an extension of a recently proposed key-frame extraction algorithm. The finest level key-frames are recursively clustered using a novel pairwise K-means clustering approach with temporal consecutiveness constraint. We also address summarization of MPEG-2 compressed video without fully decoding the bitstream. We also propose efficient mechanisms that facilitate decoding the video when the hierarchical summary is utilized in browsing and playback of video segments starting at selected key-frames.

  5. Hierarchical classification for the topography analysis of Asteroid (4179) Toutatis from the Chang'E-2 images

    Science.gov (United States)

    Zheng, Chen; Ping, Jinsong; Wang, Mingyuan

    2016-11-01

    High spatial resolution images of the near-Earth Asteroid (4179) Toutatis are provided by a successful flyby of the Chang'E-2 spacecraft. These optical images give us a chance to closely observe the surface of this asteroid. However, some local low-contrast regions in the Chang'E-2 images limit the accuracy of the topography recognition. To solve this problem, a hierarchical classification method is suggested and developed to assist the topography analysis for Toutatis based on the Chang'E-2 optical images. The proposed method first classifies the image at both the macro level and the micro level, respectively. Then, topography of Toutatis can be explored by using the hierarchical classification result. Experimental results demonstrate that the method cannot only provide a new perspective to analyze topography objects reported previously, but also reveal some new characteristics at low-contrast regions. Namely, two new topographic characteristics are revealed, one is a connection region with a particular spectral value locating at the corner of the large lobe, and the other is an object seeming like a fixed star at the background of the images.

  6. Superior water repellency of water strider legs with hierarchical structures: experiments and analysis.

    Science.gov (United States)

    Feng, Xi-Qiao; Gao, Xuefeng; Wu, Ziniu; Jiang, Lei; Zheng, Quan-Shui

    2007-04-24

    Water striders are a type of insect with the remarkable ability to stand effortlessly and walk quickly on water. This article reports the water repellency mechanism of water strider legs. Scanning electron microscope (SEM) observations reveal the uniquely hierarchical structure on the legs, consisting of numerous oriented needle-shaped microsetae with elaborate nanogrooves. The maximal supporting force of a single leg against water surprisingly reaches up to 152 dynes, about 15 times the total body weight of this insect. We theoretically demonstrate that the cooperation of nanogroove structures on the oriented microsetae, in conjunction with the wax on the leg, renders such water repellency. This finding might be helpful in the design of innovative miniature aquatic devices and nonwetting materials.

  7. Meta-analysis methods for synthesizing treatment effects in multisite studies: hierarchical linear modeling (HLM perspective

    Directory of Open Access Journals (Sweden)

    Sema A. Kalaian

    2003-06-01

    Full Text Available The objectives of the present mixed-effects meta-analytic application are to provide practical guidelines to: (a Calculate..treatment effect sizes from multiple sites; (b Calculate the overall mean of the site effect sizes and their variances; (c..Model the heterogeneity in these site treatment effects as a function of site and program characteristics plus..unexplained random error using Hierarchical Linear Modeling (HLM; (d Improve the ability of multisite evaluators..and policy makers to reach sound conclusions about the effectiveness of educational and social interventions based on..multisite evaluations; and (e Illustrate the proposed methodology by applying these methods to real multi-site research..data.

  8. A hierarchical task analysis of shoulder arthroscopy for a virtual arthroscopic tear diagnosis and evaluation platform (VATDEP).

    Science.gov (United States)

    Demirel, Doga; Yu, Alexander; Cooper-Baer, Seth; Dendukuri, Aditya; Halic, Tansel; Kockara, Sinan; Kockara, Nizamettin; Ahmadi, Shahryar

    2017-09-01

    Shoulder arthroscopy is a minimally invasive surgical procedure for diagnosis and treatment of a shoulder pathology. The procedure is performed with a fiber optic camera, called arthroscope, and instruments inserted through very tiny incisions made around the shoulder. The confined shoulder space, unintuitive camera orientation and constrained instrument motions complicates the procedure. Therefore, surgical competence in arthroscopy entails extensive training especially for psychomotor skills development. Conventional arthroscopy training methods such as mannequins, cadavers or apprenticeship model have limited use attributed to their low-fidelity in realism, cost inefficiency or incurring high risk. However, virtual reality (VR) based surgical simulators offer a realistic, low cost, risk-free training and assessment platform where the trainees can repeatedly perform arthroscopy and receive quantitative feedback on their performances. Therefore, we are developing a VR based shoulder arthroscopy simulation specifically for the rotator cuff ailments that can quantify the surgery performance. Development of such a VR simulation requires a through task analysis that describes the steps and goals of the procedure, comprehensive metrics for quantitative and objective skills and surgical technique assessment. We analyzed shoulder arthroscopic rotator cuff surgeries and created a hierarchical task tree. We introduced a novel surgery metrics to reduce the subjectivity of the existing grading metrics and performed video analysis of 14 surgery recordings in the operating room (OR). We also analyzed our video analysis results with respect to the existing proposed metrics in the literature. We used Pearson's correlation tests to find any correlations among the task times, scores and surgery specific information. We determined strong positive correlation between cleaning time vs difficulty in tying suture, cleaning time vs difficulty in passing suture, cleaning time vs scar

  9. Ultra high performance liquid chromatography with electrospray ionization tandem mass spectrometry coupled with hierarchical cluster analysis to evaluate Wikstroemia indica (L.) C. A. Mey. from different geographical regions.

    Science.gov (United States)

    Wei, Lan; Wang, Xiaobo; Mu, Shanxue; Sun, Lixin; Yu, Zhiguo

    2015-06-01

    A sensitive, rapid and simple ultra high performance liquid chromatography with electrospray ionization tandem mass spectrometry method was developed to determine seven constituents (umbelliferone, apigenin, triumbelletin, daphnoretin, arctigenin, genkwanin and emodin) in Wikstroemia indica (L.) C. A. Mey. The chromatographic analysis was performed on an ACQUITY UPLC® BEH C18 column (2.1 × 50 mm, 1.7 μm) by gradient elution with the mobile phase of 0.05% formic acid aqueous solution (A) and acetonitrile (B). Multiple reaction monitoring mode with positive and negative electrospray ionization interface was carried out to detect the components. This method was validated in terms of specificity, linearity, accuracy, precision and stability. Excellent linear behavior was observed over the certain concentration ranges with the correlation coefficient values higher than 0.999. The intraday and innerday precisions were within 2.0%. The recoveries of seven analytes were 99.4-101.1% with relative standard deviation less than 1.2%. The 18 Wikstroemia indica samples from different origins were classified by hierarchical clustering analysis according to the contents of seven components. The results demonstrated that the developed method could successfully be used to quantify simultaneously of seven components in Wikstroemia indica and could be a helpful tool for the detection and confirmation of the quality of traditional Chinese medicines.

  10. Investigating the provenance of iron artifacts of the Royal Iron Factory of Sao Joao de Ipanema by hierarchical cluster analysis of EDS microanalyses of slag inclusions

    Energy Technology Data Exchange (ETDEWEB)

    Mamani-Calcina, Elmer Antonio; Landgraf, Fernando Jose Gomes; Azevedo, Cesar Roberto de Farias, E-mail: c.azevedo@usp.br [Universidade de Sao Paulo (USP), Sao Paulo, SP (Brazil). Escola Politecnica. Departmento de Engenharia Metalurgica e de Materiais

    2017-01-15

    Microstructural characterization techniques, including EDX (Energy Dispersive X-ray Analysis) microanalyses, were used to investigate the slag inclusions in the microstructure of ferrous artifacts of the Royal Iron Factory of Sao Joao de Ipanema (first steel plant of Brazil, XIX century), the D. Pedro II Bridge (located in Bahia, assembled in XIX century and produced in Scotland) and the archaeological sites of Sao Miguel de Missoes (Rio Grande do Sul, Brazil, production site of iron artifacts, the XVIII century) and Afonso Sardinha (Sao Paulo, Brazil production site of iron artifacts, XVI century). The microanalyses results of the main micro constituents of the microstructure of the slag inclusions were investigated by hierarchical cluster analysis and the dendrogram with the microanalyses results of the wüstite phase (using as critical variables the contents of MnO, MgO, Al{sub 2}O{sub 3}, V{sub 2}O{sub 5} and TiO{sub 2}) allowed the identification of four clusters, which successfully represented the samples of the four investigated sites (Ipanema, Sardinha, Missoes and Bahia). Finally, the comparatively low volumetric fraction of slag inclusions in the samples of Ipanema (∼1%) suggested the existence of technological expertise at the iron making processing in the Royal Iron Factory of Sao Joao de Ipanema. (author)

  11. Comparison of multianalyte proficiency test results by sum of ranking differences, principal component analysis, and hierarchical cluster analysis.

    Science.gov (United States)

    Škrbić, Biljana; Héberger, Károly; Durišić-Mladenović, Nataša

    2013-10-01

    Sum of ranking differences (SRD) was applied for comparing multianalyte results obtained by several analytical methods used in one or in different laboratories, i.e., for ranking the overall performances of the methods (or laboratories) in simultaneous determination of the same set of analytes. The data sets for testing of the SRD applicability contained the results reported during one of the proficiency tests (PTs) organized by EU Reference Laboratory for Polycyclic Aromatic Hydrocarbons (EU-RL-PAH). In this way, the SRD was also tested as a discriminant method alternative to existing average performance scores used to compare mutlianalyte PT results. SRD should be used along with the z scores--the most commonly used PT performance statistics. SRD was further developed to handle the same rankings (ties) among laboratories. Two benchmark concentration series were selected as reference: (a) the assigned PAH concentrations (determined precisely beforehand by the EU-RL-PAH) and (b) the averages of all individual PAH concentrations determined by each laboratory. Ranking relative to the assigned values and also to the average (or median) values pointed to the laboratories with the most extreme results, as well as revealed groups of laboratories with similar overall performances. SRD reveals differences between methods or laboratories even if classical test(s) cannot. The ranking was validated using comparison of ranks by random numbers (a randomization test) and using seven folds cross-validation, which highlighted the similarities among the (methods used in) laboratories. Principal component analysis and hierarchical cluster analysis justified the findings based on SRD ranking/grouping. If the PAH-concentrations are row-scaled, (i.e., z scores are analyzed as input for ranking) SRD can still be used for checking the normality of errors. Moreover, cross-validation of SRD on z scores groups the laboratories similarly. The SRD technique is general in nature, i.e., it can

  12. A CONTENT ANALYSIS ON PROBLEM-BASED LEARNING APPROACH

    OpenAIRE

    BİBER, Mahir; Esen ERSOY; KÖSE BİBER, Sezer

    2014-01-01

    Problem Based Learning is one of the learning models that contain the general principles of active learning and students can use scientific process skills. Within this research it was aimed to investigate in detail the postgraduate thesis held in Turkey about PBL approach. The content analysis method was used in the research. The study sample was consisted of a total of 64 masters and PhD thesis made between the years 2012-2013 and reached over the web. A “Content Analysis Template” prepared ...

  13. A CONTENT ANALYSIS ON PROBLEM-BASED LEARNING APPROACH

    OpenAIRE

    BİBER, Mahir; Esen ERSOY; KÖSE BİBER, Sezer

    2015-01-01

    Problem Based Learning is one of the learning models that contain the general principles of active learning and students can use scientific process skills. Within this research it was aimed to investigate in detail the postgraduate thesis held in Turkey about PBL approach. The content analysis method was used in the research. The study sample was consisted of a total of 64 masters and PhD thesis made between the years 2012-2013 and reached over the web. A “Content Analysis Template” prepared ...

  14. MSR Founders Narrative and Content Analysis of Scholarly Papers

    DEFF Research Database (Denmark)

    Tackney, Charles T.; Chappell, Stacie F.; Sato, Toyoko

    2017-01-01

    This is a founders’ narrative and research paper content analysis of the first 15 years of the Management Spirituality and Religion Interest Group (MSR) of the Academy of Management. Based on archival data and founder interviews, our inquiry recounts how the early collaborators established...... the Interest Group. The founders interviewed were identified through preliminary inquiry and from archival sources. As complement and extension, we concurrently conducted a content analysis of the 15 years of MSR Best Papers and Carolyn Dexter Award MSR nominated papers for Academy internationalization...

  15. Content

    DEFF Research Database (Denmark)

    Keiding, Tina Bering

    Aim, content and methods are fundamental categories of both theoretical and practical general didactics. A quick glance in recent pedagogical literature on higher education, however, reveals a strong preoccupation with methods, i.e. how teaching should be organized socially (Biggs & Tang, 2007......; Race, 2001; Ramsden, 2003). This trend appears closely related to the ‘from-teaching-to-learning’ movement, which has had a strong influence on pedagogy since the early nineties (Keiding, 2007; Terhart, 2003). Another interpretation of the current interest in methodology can be derived from...... for selection of content (Klafki, 1985, 2000; Myhre, 1961; Nielsen, 2006). These attempts all share one feature, which is that criteria for selection of content appear very general and often, more or less explicitly, deal with teaching at the first Bologna-cycle; i.e. schooling at the primary and lower...

  16. Spectrum properties analysis of different soil moisture content

    Science.gov (United States)

    Fang, Shenghui; Hu, Bo; Lin, Fan

    2009-10-01

    Soil moisture content is one of the most important factors in soil business. The basic of detecting soil moisture content using remote sensing technology is to analyze the relationship between soil moisture content and emissivity. In this paper, based on the analysis of spectrum collection and processing by a portable spectrometer, a set of measure schemes were first established which can accurately measure the reflectivity and emissivity of soil spectrum with different moisture content in near-infrared and thermal infrared bands. Then we selected different bare soil areas as the areas for survey, and studied the relationship of different moisture content and the spectrum curve in the soil both of the same kind and of different kind (like the soil whose structure has been modified caused by the change of organic matter contents or soil particle size). Finally, we emphasized on the quantitative relationship between soil reflectivity & emissivity and soil moisture content using the test data, and establish a model depicting the quantitative relationship above in near-infrared and thermal infrared bands.

  17. Hierarchical materials: Background and perspectives

    DEFF Research Database (Denmark)

    2016-01-01

    Hierarchical design draws inspiration from analysis of biological materials and has opened new possibilities for enhancing performance and enabling new functionalities and extraordinary properties. With the development of nanotechnology, the necessary technological requirements for the manufactur...

  18. Hierarchical clustering for graph visualization

    CERN Document Server

    Clémençon, Stéphan; Rossi, Fabrice; Tran, Viet Chi

    2012-01-01

    This paper describes a graph visualization methodology based on hierarchical maximal modularity clustering, with interactive and significant coarsening and refining possibilities. An application of this method to HIV epidemic analysis in Cuba is outlined.

  19. Chemometric analysis of metal contents in different types of chocolates

    Directory of Open Access Journals (Sweden)

    Jevrić Lidija R.

    2014-01-01

    Full Text Available The relationships between the contents of various metals (Cu, Ni, Pb and Al in 38 different milk chocolate samples were studied using a chemometric approach. The chemometric expressions were generated using a training set of 25 chocolate samples and the predictive ability of the resulting models was evaluated against a test set of 13 chocolate samples. The chemometric analysis was based on the application of multiple linear regression analysis (MLR. MLR was performed in order to select the significant models for predicting the metal contents. The MLR equations that represent the content of one metal as a function of the contents of other metals were established. High agreement between experimental and predicted values, obtained in the validation procedure, indicated the good quality of the models. It enables the researchers to establish reliable relationships between the contents of various metals which can be used for their prediction in different types of chocolate prior to their analysis. This can reduce the trial-and-error element and experimental costs in the production.[Projekat Ministarstva nauke Republike Srbije, br. 31055, br. 172012 i br. 172014

  20. 分层教学改革的绩效分析%Analysis of the Performance of Hierarchical Teaching Reform

    Institute of Scientific and Technical Information of China (English)

    夏莉

    2012-01-01

    Through statistics, analysis and comparison of test papers of Economic Mathematics, this paper puts forward that the main factors influencing learning achievement of students are elementary mathematics basis and teaching mode selection. By the practice in hierarchical teaching reform, the individualized education and pertinent cultivation for the students are enhanced, and the teaching quality of Economic Mathematics is boosted.%通过“经济数学”课程考试试卷统计、分析及对比,提出了影响学生学习成绩的主要因素是初等数学基础和教学模式的选择;通过分层教学改革实践,加强了学生个性化教育和有针对性的培养,提高了“经济数学”课程教学质量。

  1. Bayesian hierarchical regression analysis of variations in sea surface temperature change over the past million years

    Science.gov (United States)

    Snyder, Carolyn W.

    2016-09-01

    Statistical challenges often preclude comparisons among different sea surface temperature (SST) reconstructions over the past million years. Inadequate consideration of uncertainty can result in misinterpretation, overconfidence, and biased conclusions. Here I apply Bayesian hierarchical regressions to analyze local SST responsiveness to climate changes for 54 SST reconstructions from across the globe over the past million years. I develop methods to account for multiple sources of uncertainty, including the quantification of uncertainty introduced from absolute dating into interrecord comparisons. The estimates of local SST responsiveness explain 64% (62% to 77%, 95% interval) of the total variation within each SST reconstruction with a single number. There is remarkable agreement between SST proxy methods, with the exception of Mg/Ca proxy methods estimating muted responses at high latitudes. The Indian Ocean exhibits a muted response in comparison to other oceans. I find a stable estimate of the proposed "universal curve" of change in local SST responsiveness to climate changes as a function of sin2(latitude) over the past 400,000 years: SST change at 45°N/S is larger than the average tropical response by a factor of 1.9 (1.5 to 2.6, 95% interval) and explains 50% (35% to 58%, 95% interval) of the total variation between each SST reconstruction. These uncertainty and statistical methods are well suited for application across paleoclimate and environmental data series intercomparisons.

  2. Analysis of genetic association in Listeria and Diabetes using Hierarchical Clustering and Silhouette Index

    Science.gov (United States)

    Pagnuco, Inti A.; Pastore, Juan I.; Abras, Guillermo; Brun, Marcel; Ballarin, Virginia L.

    2016-04-01

    It is usually assumed that co-expressed genes suggest co-regulation in the underlying regulatory network. Determining sets of co-expressed genes is an important task, where significative groups of genes are defined based on some criteria. This task is usually performed by clustering algorithms, where the whole family of genes, or a subset of them, are clustered into meaningful groups based on their expression values in a set of experiment. In this work we used a methodology based on the Silhouette index as a measure of cluster quality for individual gene groups, and a combination of several variants of hierarchical clustering to generate the candidate groups, to obtain sets of co-expressed genes for two real data examples. We analyzed the quality of the best ranked groups, obtained by the algorithm, using an online bioinformatics tool that provides network information for the selected genes. Moreover, to verify the performance of the algorithm, considering the fact that it doesn’t find all possible subsets, we compared its results against a full search, to determine the amount of good co-regulated sets not detected.

  3. Working memory contributions to relative clause attachment processing: a hierarchical linear modeling analysis.

    Science.gov (United States)

    Traxler, Matthew J

    2007-07-01

    An eye-movement-monitoring experiment tested readers' responses to sentences containing relative clauses that could be attached to one or both of two preceding nouns. Previous experiments with such sentences have indicated that globally ambiguous relative clauses are processed more quickly than are determinately attached relative clauses. Central to the present research, a recent study (Swets, Desmet, Hambrick, & Ferreira, 2007) showed that offline preferences for such sentences differ as a function of working memory capacity. Specifically, both English and Dutch participants' preference for the second of two nouns as the host for the relative clause increased as their working memory capacity increased. In the present study, readers' working memory capacity was measured, and eye movements were monitored. Hierarchical linear modeling was used to determine whether working memory capacity moderated readers' online processing performance. The modeling indicated that determinately attached sentences were harder to process than globally ambiguous sentences, that working memory did not affect processing of the relative clause itself, but that working memory did moderate how easy it was to integrate the relative clause with the preceding sentence context. Specifically, in contrast with the offline results from Swets and colleagues' study, readers with higher working memory capacity were more likely to prefer the first noun over the second noun as the host for the relative clause.

  4. Analysis of HIV medication adherence in relation to person and treatment characteristics using hierarchical linear modeling.

    Science.gov (United States)

    Halkitis, Perry; Palamar, Joseph; Mukherjee, Preetika

    2008-04-01

    The purpose of this investigation was to consider person characteristics, treatment level variables, and illicit drug use to help explain the HIV antiviral adherence patterns of a community-based, non-drug-treatment-seeking sample of men who have sex with men (MSM). Adherence data were gathered for 300 MSM eight times over the course of 1 year using electronic monitoring. Treatment and person level characteristics were assessed at baseline assessment using computer-administered surveys, and drug usage was established via a diagnostic inventory. These longitudinal data were analyzed via Hierarchical Linear Modeling. The sample was diverse in terms of age and race/ethnicity. Across the span of the year in which the participants were assessed, adherence rates were relatively stable and high (means: 82% to 90%) at each time point and remained relatively stable across the yearlong investigation. Lower adherence rates were evident among those who were drug users, black identified (in terms of race), older, and by pill burden. Individuals on HIV antiretroviral therapy demonstrated consistent although not optimal adherence rates when assessed during the course of a year. The significance of numerous person level factors such as age, race, and drug use suggest that adherence to treatment may in part be impacted by the circumstances that the individual brings to the treatment behavior, and suggests interventions that delve beyond the behavioral to consider and address life social and intrapersonal circumstances that may interfere with adherence behaviors.

  5. Hierarchical network model for the analysis of human spatio-temporal information processing

    Science.gov (United States)

    Schill, Kerstin; Baier, Volker; Roehrbein, Florian; Brauer, Wilfried

    2001-06-01

    The perception of spatio-temporal pattern is a fundamental part of visual cognition. In order to understand more about the principles behind these biological processes, we are analyzing and modeling the presentation of spatio-temporal structures on different levels of abstraction. For the low- level processing of motion information we have argued for the existence of a spatio-temporal memory in early vision. The basic properties of this structure are reflected in a neural network model which is currently developed. Here we discuss major architectural features of this network which is base don Kohonens SOMs. In order to enable the representation, processing and prediction of spatio-temporal pattern on different levels of granularity and abstraction the SOMs are organized in a hierarchical manner. The model has the advantage of a 'self-teaching' learning algorithm and stored temporal information try local feedback in each computational layer. The constraints for the neural modeling and data set for training the neural network are obtained by psychophysical experiments where human subjects' abilities for dealing with spatio-temporal information is investigated.

  6. Responses of insect herbivores and herbivory to habitat fragmentation: a hierarchical meta-analysis.

    Science.gov (United States)

    Rossetti, María Rosa; Tscharntke, Teja; Aguilar, Ramiro; Batáry, Péter

    2017-02-01

    Loss and fragmentation of natural habitats can lead to alterations of plant-animal interactions and ecosystems functioning. Insect herbivory, an important antagonistic interaction is expected to be influenced by habitat fragmentation through direct negative effects on herbivore community richness and indirect positive effects due to losses of natural enemies. Plant community changes with habitat fragmentation added to the indirect effects but with little predictable impact. Here, we evaluated habitat fragmentation effects on both herbivory and herbivore diversity, using novel hierarchical meta-analyses. Across 89 studies, we found a negative effect of habitat fragmentation on abundance and species richness of herbivores, but only a non-significant trend on herbivory. Reduced area and increased isolation of remaining fragments yielded the strongest effect on abundance and species richness, while specialist herbivores were the most vulnerable to habitat fragmentation. These fragmentation effects were more pronounced in studies with large spatial extent. The strong reduction in herbivore diversity, but not herbivory, indicates how important common generalist species can be in maintaining herbivory as a major ecosystem process. © 2017 John Wiley & Sons Ltd/CNRS.

  7. Content Analysis of the 20 Most Influential Articles in "PIQ"

    Science.gov (United States)

    Cho, Yonjoo; Park, Sunyoung

    2012-01-01

    The purpose of this study is to examine key research themes in human performance technology (HPT) through content analysis of the 20 most influential articles identified in Cho, Jo, Park, Kang, and Chen (2011). Three questions guiding this inquiry are: (1) What are the key themes of the 20 most influential articles in "PIQ", (2) What information…

  8. A Content Analysis of Intimate Partner Violence Assessments

    Science.gov (United States)

    Hays, Danica G.; Emelianchik, Kelly

    2009-01-01

    With approximately 30% of individuals of various cultural identities experiencing intimate partner violence (IPV) in their lifetimes, it is imperative that professional counselors engage in effective assessment practices and be aware of the limitations of available IPV assessments. A content analysis of 38 IPV assessments was conducted, yielding…

  9. Disability in Physical Education Textbooks: An Analysis of Image Content

    Science.gov (United States)

    Taboas-Pais, Maria Ines; Rey-Cao, Ana

    2012-01-01

    The aim of this paper is to show how images of disability are portrayed in physical education textbooks for secondary schools in Spain. The sample was composed of 3,316 images published in 36 textbooks by 10 publishing houses. A content analysis was carried out using a coding scheme based on categories employed in other similar studies and adapted…

  10. Teaching Blended Content Analysis and Critically Vigilant Media Consumption

    Science.gov (United States)

    Harris, Christopher S.

    2015-01-01

    The semester-long activity described herein uses an integrated instructional approach to media studies to introduce students to the research method of qualitative content analysis and help them become more critically vigilant media consumers. The goal is to increase students' media literacy by guiding them in the design of an exploratory…

  11. A Content Analysis of Peer Feedback in Triadic Supervision

    Science.gov (United States)

    Avent, Janeé R.; Wahesh, Edward; Purgason, Lucy L.; Borders, L. DiAnne; Mobley, A. Keith

    2015-01-01

    There is limited research on the types of peer feedback exchanged during triadic supervision. Through a content analysis, the authors found that students provided feedback about counseling performance and cognitive counseling skills most often in supervision sessions. However, there were differences in the types of feedback exchanged across three…

  12. A Content Analysis of Nine Literacy Journals, 2009-2014

    Science.gov (United States)

    Parsons, Seth A.; Gallagher, Melissa A.

    2016-01-01

    The purpose of this study was to determine the topics being studied, theoretical perspectives being used, and methods being implemented in current literacy research. A research team completed a content analysis of nine journals from 2009 to 2014 to gather data. In the 1,238 articles analyzed, the topics, theoretical perspectives, research designs,…

  13. A Modified Content Analysis of Existing School Psychology Reports

    Science.gov (United States)

    Mallin, Barry; Schellenberg, Miriam E.; Smith, Christiane

    2012-01-01

    Discrepancies between our university's training program's report-writing guidelines and common practice in Manitoba could not be resolved by reference to the literature. To inform the discussion, we collected a sample of local real world school psychology reports and undertook a modified content analysis to operationally define and measure…

  14. A Content Analysis of Intimate Partner Violence Assessments

    Science.gov (United States)

    Hays, Danica G.; Emelianchik, Kelly

    2009-01-01

    With approximately 30% of individuals of various cultural identities experiencing intimate partner violence (IPV) in their lifetimes, it is imperative that professional counselors engage in effective assessment practices and be aware of the limitations of available IPV assessments. A content analysis of 38 IPV assessments was conducted, yielding…

  15. Multicultural Counseling Competencies Research: A 20-Year Content Analysis

    Science.gov (United States)

    Worthington, Roger L.; Soth-McNett, Angela M.; Moreno, Matthew V.

    2007-01-01

    The authors conducted a 20-year content analysis of the entire field of empirical research on the multicultural counseling competencies (D. W. Sue et al., 1982). They conducted an exhaustive search for empirical research articles using PsycINFO, as well as complete reviews of the past 20 years of several journals (e.g., Journal of Counseling…

  16. Content Analysis Schedule for Bilingual Education Programs: Proyecto PAL.

    Science.gov (United States)

    Gonzalez, Castor

    This content analysis schedule for "Proyecto PAL" in San Jose, California, presents information on the history, funding, and scope of the project. Included are sociolinguistic process variables such as the native and dominant languages of students and their interaction. Information is provided on staff selection and the linguistic…

  17. A Task-Content Analysis of an Introductory Entomology Curriculum.

    Science.gov (United States)

    Brandenburg, R.

    Described is an analysis of the content, tasks, and strategies needed by students to enable them to identify insects to order by sight and to family by use of a standard dichotomous taxonomic key. Tasks and strategies are broken down and arranged progressively in the approximate order in which students should progress. Included are listings of…

  18. Trends of Science Education Research: An Automatic Content Analysis

    Science.gov (United States)

    Chang, Yueh-Hsia; Chang, Chun-Yen; Tseng, Yuen-Hsien

    2010-01-01

    This study used scientometric methods to conduct an automatic content analysis on the development trends of science education research from the published articles in the four journals of "International Journal of Science Education, Journal of Research in Science Teaching, Research in Science Education, and Science Education" from 1990 to 2007. The…

  19. Trends of Science Education Research: An Automatic Content Analysis

    Science.gov (United States)

    Chang, Yueh-Hsia; Chang, Chun-Yen; Tseng, Yuen-Hsien

    2010-01-01

    This study used scientometric methods to conduct an automatic content analysis on the development trends of science education research from the published articles in the four journals of "International Journal of Science Education, Journal of Research in Science Teaching, Research in Science Education, and Science Education" from 1990 to 2007. The…

  20. Content-Orientated Discourse Analysis and Folk Linguistics.

    Science.gov (United States)

    Preston, Dennis R.

    1994-01-01

    Discusses various quantitative and qualitative techniques used to examine nonlinguists' beliefs about language, focusing on content-orientated approaches to conversations with African Americans about African American Vernacular English. Approaches to discoursal meaning based on vantage theory and argument analysis are also considered. (MDM)

  1. A Content Analysis of Women's Career Choices in Film

    Science.gov (United States)

    Hammer, Tonya R.

    2010-01-01

    A feminist content analysis of 81 films was conducted as a means to assist mental health practitioners in guiding the career choices of young women and to explore the possibilities for change through this medium. The review of the 117 lead female characters revealed themes including: the idea that relationships should be secondary to careers in…

  2. Content Recognition and Context Modeling for Document Analysis and Retrieval

    Science.gov (United States)

    Zhu, Guangyu

    2009-01-01

    The nature and scope of available documents are changing significantly in many areas of document analysis and retrieval as complex, heterogeneous collections become accessible to virtually everyone via the web. The increasing level of diversity presents a great challenge for document image content categorization, indexing, and retrieval.…

  3. A Content Analysis of Peer Feedback in Triadic Supervision

    Science.gov (United States)

    Avent, Janeé R.; Wahesh, Edward; Purgason, Lucy L.; Borders, L. DiAnne; Mobley, A. Keith

    2015-01-01

    There is limited research on the types of peer feedback exchanged during triadic supervision. Through a content analysis, the authors found that students provided feedback about counseling performance and cognitive counseling skills most often in supervision sessions. However, there were differences in the types of feedback exchanged across three…

  4. A content analysis of USDA Forest Service recreation partnerships

    Science.gov (United States)

    Steve Selin

    1995-01-01

    The USDA Forest Service has been implementing a partnership initiative for 6 years as part of the National Recreation Strategy. Several internal efforts have been undertaken to evaluate the progress made in this initiative as well as to make adjustments in the initiative for the future. These evaluation efforts are extended to present a content analysis of recreation...

  5. Mathematics Education Research in Turkey: A Content Analysis Study

    Science.gov (United States)

    Ciltas, Alper; Guler, Gursel; Sozbilir, Mustafa

    2012-01-01

    In this study, a content analysis of research is aimed in the field of mathematics education of Turkish researchers. To this aim, the investigation of 359 article were made which were accessed from web in full text between 1987 and 2009 years and which were published in the field of mathematics education from 32 different journals. 27 of these…

  6. Cooperative Learning in Turkey: A Content Analysis of Theses

    Science.gov (United States)

    Dirlikli, Murat

    2016-01-01

    This study is a content analysis of theses concerning cooperative learning prepared in Turkey between the years 1993 and 2014. A total of 220 theses which were accessible online (open access) at the site of Council of Higher Education (CoHE) were analyzed. The publishing classification form used in this study was prepared analyzing similar forms…

  7. Teaching Blended Content Analysis and Critically Vigilant Media Consumption

    Science.gov (United States)

    Harris, Christopher S.

    2015-01-01

    The semester-long activity described herein uses an integrated instructional approach to media studies to introduce students to the research method of qualitative content analysis and help them become more critically vigilant media consumers. The goal is to increase students' media literacy by guiding them in the design of an exploratory…

  8. Trends in Distance Education: A Content Analysis of Master's Thesis

    Science.gov (United States)

    Durak, Gürhan; Çankaya, Serkan; Yunkul, Eyup; Urfa, Mehmet; Toprakliklioglu, Kivanç; Arda, Yagmur; Inam, Nazmiye

    2017-01-01

    The present study aimed at presenting the results of content analysis on Master's Theses carried out in the field of distance education at higher education level in Turkey between 1986 and 2015. A total of 285 Master's Theses were examined to determine the key words, academic disciplines, research areas, theoretical frameworks, research designs…

  9. A Content Analysis of Nine Literacy Journals, 2009-2014

    Science.gov (United States)

    Parsons, Seth A.; Gallagher, Melissa A.

    2016-01-01

    The purpose of this study was to determine the topics being studied, theoretical perspectives being used, and methods being implemented in current literacy research. A research team completed a content analysis of nine journals from 2009 to 2014 to gather data. In the 1,238 articles analyzed, the topics, theoretical perspectives, research designs,…

  10. Mathematical Modelling Research in Turkey: A Content Analysis Study

    Science.gov (United States)

    Çelik, H. Coskun

    2017-01-01

    The aim of the present study was to examine the mathematical modelling studies done between 2004 and 2015 in Turkey and to reveal their tendencies. Forty-nine studies were selected using purposeful sampling based on the term, "mathematical modelling" with Higher Education Academic Search Engine. They were analyzed with content analysis.…

  11. A Modified Content Analysis of Existing School Psychology Reports

    Science.gov (United States)

    Mallin, Barry; Schellenberg, Miriam E.; Smith, Christiane

    2012-01-01

    Discrepancies between our university's training program's report-writing guidelines and common practice in Manitoba could not be resolved by reference to the literature. To inform the discussion, we collected a sample of local real world school psychology reports and undertook a modified content analysis to operationally define and measure…

  12. TechTrends 2010-2015: A Content Analysis

    Science.gov (United States)

    Stauffer, Eric

    2017-01-01

    This study is a content analysis of articles published within the journal "TechTrends" from 2000 to 2015. The study reveals that the publication "TechTrends" has increased the overall number of peer reviewed original papers over the last 6 years. The author describes the proportion of these original papers per volume and…

  13. Content Analysis of the 20 Most Influential Articles in "PIQ"

    Science.gov (United States)

    Cho, Yonjoo; Park, Sunyoung

    2012-01-01

    The purpose of this study is to examine key research themes in human performance technology (HPT) through content analysis of the 20 most influential articles identified in Cho, Jo, Park, Kang, and Chen (2011). Three questions guiding this inquiry are: (1) What are the key themes of the 20 most influential articles in "PIQ", (2) What information…

  14. Child Custody Decisions: Content Analysis of a Judicial Survey.

    Science.gov (United States)

    Settle, Shirley A; Lowery, Carol R.

    1982-01-01

    Surveyed judges and trial commissioners (N=80) regarding child custody decisions in divorce. The content analysis described the responents' comments which clarified their reasons for attaching greater or lesser importance to a particular consideration or the method using in assessing a particular consideration during a court proceeding. (JAC)

  15. Modeling hierarchical structures - Hierarchical Linear Modeling using MPlus

    CERN Document Server

    Jelonek, M

    2006-01-01

    The aim of this paper is to present the technique (and its linkage with physics) of overcoming problems connected to modeling social structures, which are typically hierarchical. Hierarchical Linear Models provide a conceptual and statistical mechanism for drawing conclusions regarding the influence of phenomena at different levels of analysis. In the social sciences it is used to analyze many problems such as educational, organizational or market dilemma. This paper introduces the logic of modeling hierarchical linear equations and estimation based on MPlus software. I present my own model to illustrate the impact of different factors on school acceptation level.

  16. FACEBOOK CONTENT ANALYSIS OF BANKS OPERATING ON SLOVAK MARKET

    OpenAIRE

    Róbert Štefko; Radovan Baèík; Igor Fedorko

    2014-01-01

    This article uses content analysis to identify the extent of users’ involvement in the corporate communication on the social network Facebook. This article focuses on the Facebook pages of the largest banking institutions operating in Slovakia - regarding the volume of their total assets in 2012. The analysis shows that the criterion for the success of the post on the largest social network Facebook is an effort to maximize the involvement of users in the corporate communication through the i...

  17. Polynomial analysis of canopy spectra and biochemical component content inversion

    Institute of Scientific and Technical Information of China (English)

    YAN Chunyan; LIU Qiang; NIU Zheng; WANG Jihua; HUANG Wenjiang; LIU Liangyun

    2005-01-01

    A polynomial expression model was developed in this paper to describe directional canopy spectra, and the decomposition of the polynomial expression was used as a tool for retrieving biochemical component content from canopy multi-angle spectra. First, the basic formula of the polynomial expression was introduced and the physical meaning of its terms and coefficients was discussed. Based on this analysis, a complete polynomial expression model and its decomposition method were given. By decomposing the canopy spectra simulated with SAILH model, it shows that the polynomial expression can not only fit well the canopy spectra, but also show the contribution of every order scattering to the whole reflectance. Taking the first scattering coefficients a10 and a01 for example, the test results show that the polynomial coefficients reflect very well the hot spot phenomenon and the effects of viewing angles, LAI and leaf inclination angle on canopy spectra. By coupling the polynomial expression with leaf model PROSPECT, a canopy biochemical component content inversion model was given. In the simulated test, the canopy multi-angle spectra were simulated by two different models, SAILH and 4-SCALE respectively, then the biochemical component content was retrieved by inverting the coupled polynomial expression + PROSPECT model. Results of the simulated test are promising, and when applying the algorithm to measured corn canopy multi-angle spectra, we also get relatively accurate chlorophyll content. It shows that the polynomial analysis provides a new method to get biochemical component content independent of any specific canopy model.

  18. A Hierarchical Multi-Unidimensional IRT Approach for Analyzing Sparse, Multi-Group Data for Integrative Data Analysis.

    Science.gov (United States)

    Huo, Yan; de la Torre, Jimmy; Mun, Eun-Young; Kim, Su-Young; Ray, Anne E; Jiao, Yang; White, Helene R

    2015-09-01

    The present paper proposes a hierarchical, multi-unidimensional two-parameter logistic item response theory (2PL-MUIRT) model extended for a large number of groups. The proposed model was motivated by a large-scale integrative data analysis (IDA) study which combined data (N = 24,336) from 24 independent alcohol intervention studies. IDA projects face unique challenges that are different from those encountered in individual studies, such as the need to establish a common scoring metric across studies and to handle missingness in the pooled data. To address these challenges, we developed a Markov chain Monte Carlo (MCMC) algorithm for a hierarchical 2PL-MUIRT model for multiple groups in which not only were the item parameters and latent traits estimated, but the means and covariance structures for multiple dimensions were also estimated across different groups. Compared to a few existing MCMC algorithms for multidimensional IRT models that constrain the item parameters to facilitate estimation of the covariance matrix, we adapted an MCMC algorithm so that we could directly estimate the correlation matrix for the anchor group without any constraints on the item parameters. The feasibility of the MCMC algorithm and the validity of the basic calibration procedure were examined using a simulation study. Results showed that model parameters could be adequately recovered, and estimated latent trait scores closely approximated true latent trait scores. The algorithm was then applied to analyze real data (69 items across 20 studies for 22,608 participants). The posterior predictive model check showed that the model fit all items well, and the correlations between the MCMC scores and original scores were overall quite high. An additional simulation study demonstrated robustness of the MCMC procedures in the context of the high proportion of missingness in data. The Bayesian hierarchical IRT model using the MCMC algorithms developed in the current study has the potential to

  19. Marketing pharmaceutical drugs to women in magazines: a content analysis.

    Science.gov (United States)

    Sokol, Jennifer; Wackowski, Olivia; Lewis, M J

    2010-01-01

    To examine the prevalence and content of pharmaceutical ads in demographically different women's magazines. A content analysis was conducted using one year's worth of 5 different women's magazines of varying age demographics. Magazines differed in the proportion of drug ads for different health conditions (eg, cardiovascular) and target audience by age demographic. Use of persuasive elements (types of appeals, evidence) varied by condition promoted (eg, mental-health drug ads more frequently used emotional appeals). Ads placed greater emphasis on direction to industry information resources than on physician discussions. Prevalence of pharmaceutical advertising in women's magazines is high; continued surveillance is recommended.

  20. Predictive Ability of Pender's Health Promotion Model for Physical Activity and Exercise in People with Spinal Cord Injuries: A Hierarchical Regression Analysis

    Science.gov (United States)

    Keegan, John P.; Chan, Fong; Ditchman, Nicole; Chiu, Chung-Yi

    2012-01-01

    The main objective of this study was to validate Pender's Health Promotion Model (HPM) as a motivational model for exercise/physical activity self-management for people with spinal cord injuries (SCIs). Quantitative descriptive research design using hierarchical regression analysis (HRA) was used. A total of 126 individuals with SCI were recruited…

  1. Online Information About Harmful Tobacco Constituents: A Content Analysis.

    Science.gov (United States)

    Margolis, Katherine A; Bernat, Jennifer K; Keely O'Brien, Erin; Delahanty, Janine C

    2017-10-01

    Tobacco products and smoke contain more than 7000 chemicals (ie, constituents). Research shows that consumers have poor understanding of tobacco constituents and find communication about them to be confusing. The current content analysis describes how information is communicated about tobacco constituents online in terms of source, target audience, and message. A search was conducted in September 2015 using tobacco constituent and tobacco terms and identified 226 relevant Web sites for coding. Web sites were coded for type, target audience, reading level, constituent information, type of tobacco product, health effects, and emotional valence by two coders who independently coded half of the sample. There was a 20% overlap to assess interrater reliability, which was high (κ = .83, p content and presentation of information related to tobacco constituents. The US Food and Drug Administration (FDA) is required to publicly display a list of tobacco constituents in tobacco products and tobacco smoke by brand. However, little is known about tobacco constituent information available to the public. This is the first systematic content analysis of online information about tobacco constituents. The analysis reveals that although information about tobacco constituents is available online, large information gaps exist, including incomplete information about tobacco constituent-related health effects. This study highlights opportunities to improve the content and presentation of public information related to tobacco constituents.

  2. A comparison of hierarchical cluster analysis and league table rankings as methods for analysis and presentation of district health system performance data in Uganda.

    Science.gov (United States)

    Tashobya, Christine K; Dubourg, Dominique; Ssengooba, Freddie; Speybroeck, Niko; Macq, Jean; Criel, Bart

    2016-03-01

    In 2003, the Uganda Ministry of Health introduced the district league table for district health system performance assessment. The league table presents district performance against a number of input, process and output indicators and a composite index to rank districts. This study explores the use of hierarchical cluster analysis for analysing and presenting district health systems performance data and compares this approach with the use of the league table in Uganda. Ministry of Health and district plans and reports, and published documents were used to provide information on the development and utilization of the Uganda district league table. Quantitative data were accessed from the Ministry of Health databases. Statistical analysis using SPSS version 20 and hierarchical cluster analysis, utilizing Wards' method was used. The hierarchical cluster analysis was conducted on the basis of seven clusters determined for each year from 2003 to 2010, ranging from a cluster of good through moderate-to-poor performers. The characteristics and membership of clusters varied from year to year and were determined by the identity and magnitude of performance of the individual variables. Criticisms of the league table include: perceived unfairness, as it did not take into consideration district peculiarities; and being oversummarized and not adequately informative. Clustering organizes the many data points into clusters of similar entities according to an agreed set of indicators and can provide the beginning point for identifying factors behind the observed performance of districts. Although league table ranking emphasize summation and external control, clustering has the potential to encourage a formative, learning approach. More research is required to shed more light on factors behind observed performance of the different clusters. Other countries especially low-income countries that share many similarities with Uganda can learn from these experiences. © The Author 2015

  3. Hierarchical Linear Modeling Meta-Analysis of Single-Subject Design Research

    Science.gov (United States)

    Gage, Nicholas A.; Lewis, Timothy J.

    2014-01-01

    The identification of evidence-based practices continues to provoke issues of disagreement across multiple fields. One area of contention is the role of single-subject design (SSD) research in providing scientific evidence. The debate about SSD's utility centers on three issues: sample size, effect size, and serial dependence. One potential…

  4. Development of Hierarchical Bayesian Model Based on Regional Frequency Analysis and Its Application to Estimate Areal Rainfall in South Korea

    Science.gov (United States)

    Kim, J.; Kwon, H. H.

    2014-12-01

    The existing regional frequency analysis has disadvantages in that it is difficult to consider geographical characteristics in estimating areal rainfall. In this regard, This study aims to develop a hierarchical Bayesian model based regional frequency analysis in that spatial patterns of the design rainfall with geographical information are explicitly incorporated. This study assumes that the parameters of Gumbel distribution are a function of geographical characteristics (e.g. altitude, latitude and longitude) within a general linear regression framework. Posterior distributions of the regression parameters are estimated by Bayesian Markov Chain Monte Calro (MCMC) method, and the identified functional relationship is used to spatially interpolate the parameters of the Gumbel distribution by using digital elevation models (DEM) as inputs. The proposed model is applied to derive design rainfalls over the entire Han-river watershed. It was found that the proposed Bayesian regional frequency analysis model showed similar results compared to L-moment based regional frequency analysis. In addition, the model showed an advantage in terms of quantifying uncertainty of the design rainfall and estimating the area rainfall considering geographical information. Acknowledgement: This research was supported by a grant (14AWMP-B079364-01) from Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

  5. Fingerprint analysis of Hibiscus mutabilis L. leaves based on ultra performance liquid chromatography with photodiode array detector combined with similarity analysis and hierarchical clustering analysis methods

    Directory of Open Access Journals (Sweden)

    Xianrui Liang

    2013-01-01

    Full Text Available Background: A method for chemical fingerprint analysis of Hibiscus mutabilis L. leaves was developed based on ultra performance liquid chromatography with photodiode array detector (UPLC-PAD combined with similarity analysis (SA and hierarchical clustering analysis (HCA. Materials and Methods: 10 batches of Hibiscus mutabilis L. leaves samples were collected from different regions of China. UPLC-PAD was employed to collect chemical fingerprints of Hibiscus mutabilis L. leaves. Results: The relative standard deviations (RSDs of the relative retention times (RRT and relative peak areas (RPA of 10 characteristic peaks (one of them was identified as rutin in precision, repeatability and stability test were less than 3%, and the method of fingerprint analysis was validated to be suitable for the Hibiscus mutabilis L. leaves. Conclusions: The chromatographic fingerprints showed abundant diversity of chemical constituents qualitatively in the 10 batches of Hibiscus mutabilis L. leaves samples from different locations by similarity analysis on basis of calculating the correlation coefficients between each two fingerprints. Moreover, the HCA method clustered the samples into four classes, and the HCA dendrogram showed the close or distant relations among the 10 samples, which was consistent to the SA result to some extent.

  6. Modeling hierarchical structures - Hierarchical Linear Modeling using MPlus

    OpenAIRE

    Jelonek, Magdalena

    2006-01-01

    The aim of this paper is to present the technique (and its linkage with physics) of overcoming problems connected to modeling social structures, which are typically hierarchical. Hierarchical Linear Models provide a conceptual and statistical mechanism for drawing conclusions regarding the influence of phenomena at different levels of analysis. In the social sciences it is used to analyze many problems such as educational, organizational or market dilemma. This paper introduces the logic of m...

  7. [Study of the clinical phenotype of symptomatic chronic airways disease by hierarchical cluster analysis and two-step cluster analyses].

    Science.gov (United States)

    Ning, P; Guo, Y F; Sun, T Y; Zhang, H S; Chai, D; Li, X M

    2016-09-01

    To study the distinct clinical phenotype of chronic airway diseases by hierarchical cluster analysis and two-step cluster analysis. A population sample of adult patients in Donghuamen community, Dongcheng district and Qinghe community, Haidian district, Beijing from April 2012 to January 2015, who had wheeze within the last 12 months, underwent detailed investigation, including a clinical questionnaire, pulmonary function tests, total serum IgE levels, blood eosinophil level and a peak flow diary. Nine variables were chosen as evaluating parameters, including pre-salbutamol forced expired volume in one second(FEV1)/forced vital capacity(FVC) ratio, pre-salbutamol FEV1, percentage of post-salbutamol change in FEV1, residual capacity, diffusing capacity of the lung for carbon monoxide/alveolar volume adjusted for haemoglobin level, peak expiratory flow(PEF) variability, serum IgE level, cumulative tobacco cigarette consumption (pack-years) and respiratory symptoms (cough and expectoration). Subjects' different clinical phenotype by hierarchical cluster analysis and two-step cluster analysis was identified. (1) Four clusters were identified by hierarchical cluster analysis. Cluster 1 was chronic bronchitis in smokers with normal pulmonary function. Cluster 2 was chronic bronchitis or mild chronic obstructive pulmonary disease (COPD) patients with mild airflow limitation. Cluster 3 included COPD patients with heavy smoking, poor quality of life and severe airflow limitation. Cluster 4 recognized atopic patients with mild airflow limitation, elevated serum IgE and clinical features of asthma. Significant differences were revealed regarding pre-salbutamol FEV1/FVC%, pre-salbutamol FEV1% pred, post-salbutamol change in FEV1%, maximal mid-expiratory flow curve(MMEF)% pred, carbon monoxide diffusing capacity per liter of alveolar(DLCO)/(VA)% pred, residual volume(RV)% pred, total serum IgE level, smoking history (pack-years), St.George's respiratory questionnaire

  8. CONTENTS

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    The Development and Evolution of the Idea of the Mandate of Heaven in the Zhou Dynasty The changes in the idea of Mandate of Heaven during the Shang and Zhou dynasties are of great significance in the course of the development of traditional Chinese culture. The quickening and awakening of the humanistic spirit was not the entire content of the Zhou idea of Mandate of Heaven. In the process of annihilating the Shang dynasty and setting up their state, the Zhou propagated the idea of the Mandate of Heaven out of practical needs. Their idea of the Mandate of Heaven was not very different from that of the Shang. From the Western Zhou on, the Zhou idea of Mandate of Heaven by no means developed in a linear way along a rational track. The intermingling of rationality and irrationality and of awakening and non-awakening remained the overall state of the Zhou intellectual superstructure after their "spiritual awakening".

  9. CONTENTS

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Grassroots Officials Promotion in Differentiated Model Association, The Researching of Rural Clan :Paradigm Should be Shifted Analysis Based on the Practice of Rural Community Construction in Ganzhou of Jiangxi Province and Yueping of Hubei Province

  10. A Content Analysis of Electronic Cigarette Portrayal in Newspapers.

    Science.gov (United States)

    Yates, Katherine; Friedman, Katherine; Slater, Michael D; Berman, Micah; Paskett, Electra D; Ferketich, Amy K

    2015-04-01

    To determine how electronic cigarettes (e-cigarettes) are portrayed in newspaper informative articles and opinion pieces. A content analysis was conducted on 450 articles published in the United States from 1997 to mid-2014 and obtained by a Newsbank search. The articles were reliably coded for overall frame, type of article, first topic and main topics addressed. The article topics have changed over time and suggest significant differences between news articles and opinion pieces. Informative articles focused on e-cigarette regulation, while opinion pieces highlighted their increasing popularity and perceived health benefits. This content analysis uncovered significant interest in e-cigarettes, particularly in their regulation. The FDA should consider public perceptions of e-cigarettes when developing regulations.

  11. Image analysis benchmarking methods for high-content screen design.

    Science.gov (United States)

    Fuller, C J; Straight, A F

    2010-05-01

    The recent development of complex chemical and small interfering RNA (siRNA) collections has enabled large-scale cell-based phenotypic screening. High-content and high-throughput imaging are widely used methods to record phenotypic data after chemical and small interfering RNA treatment, and numerous image processing and analysis methods have been used to quantify these phenotypes. Currently, there are no standardized methods for evaluating the effectiveness of new and existing image processing and analysis tools for an arbitrary screening problem. We generated a series of benchmarking images that represent commonly encountered variation in high-throughput screening data and used these image standards to evaluate the robustness of five different image analysis methods to changes in signal-to-noise ratio, focal plane, cell density and phenotype strength. The analysis methods that were most reliable, in the presence of experimental variation, required few cells to accurately distinguish phenotypic changes between control and experimental data sets. We conclude that by applying these simple benchmarking principles an a priori estimate of the image acquisition requirements for phenotypic analysis can be made before initiating an image-based screen. Application of this benchmarking methodology provides a mechanism to significantly reduce data acquisition and analysis burdens and to improve data quality and information content.

  12. The second Alexandrian text-type on content analysis

    Directory of Open Access Journals (Sweden)

    Ilić Vladimir

    2012-01-01

    Full Text Available The paper is divided into three sections. The first one deals with the problems of the reliability and validity. Second part of the text is devoted to the discussion among qualitative vs. quantitative approaches supporters. The issues of the using of computers and some possibilities of comparative framework in relation to the content analysis are considered into the third part of the paper.

  13. Graduate Ethics Education: A Content Analysis of Syllabi

    OpenAIRE

    Grifith, Shannon M; Domenech Rodriguez, Melanie M.; Anderson, Austin J

    2014-01-01

    Ethical practice of psychology is emphasized by APA accreditation requirements. The current study is a content analysis of 53 ethics courses syllabi from all APA accredited programs listed in the American Psychologist 2011 annual report. This article is a companion to Domenech Rodríguez et al. (2013) and contributes knowledge on the current state of graduate ethics education. Of the parent project respondents (N = 364), 14% returned syllabi for the present study. General information (e.g., ob...

  14. Collaborative Hierarchical Sparse Modeling

    CERN Document Server

    Sprechmann, Pablo; Sapiro, Guillermo; Eldar, Yonina C

    2010-01-01

    Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is done by solving an l_1-regularized linear regression problem, usually called Lasso. In this work we first combine the sparsity-inducing property of the Lasso model, at the individual feature level, with the block-sparsity property of the group Lasso model, where sparse groups of features are jointly encoded, obtaining a sparsity pattern hierarchically structured. This results in the hierarchical Lasso, which shows important practical modeling advantages. We then extend this approach to the collaborative case, where a set of simultaneously coded signals share the same sparsity pattern at the higher (group) level but not necessarily at the lower one. Signals then share the same active groups, or classes, but not necessarily the same active set. This is very well suited for applications such as source separation. An efficient optimization procedure, which guarantees convergence to the global opt...

  15. Application of summative content analysis to a postal questionnaire.

    Science.gov (United States)

    Griffiths, Thomas Howard

    2016-01-01

    Content analysis of replies to closed questions in questionnaires can be undertaken to understand remarks that may explain the responses, provide illustrative examples of issues raised in the questionnaire, define new issues or issues of importance that were not covered in the questionnaire and inform the design of new questions in future surveys. To discuss the usefulness of summative content analysis to free text in postal questionnaires. Content analysis provides useful comparative insights between two respondent groups in the case example provided. Five themes emerged: poor understanding of the concept of 'patient lateral transfer work technique' and the direct instrument nursing observation (DINO) instrument's key directions; outcomes of patient transfer; positive responses; manual handling risk; and poor translation into English of DINO. Respondents need an opportunity to clarify their responses to questionnaires using free text, to provide insight into their understanding of the question being asked, understanding of the concept or construct being discussed, and data triangulation through the confirmation of item responses and free-text comments. Responses to questions in a postal questionnaire and the opportunity for free-text commentary by respondents enable the identification of hidden meanings behind tickbox responses to questions.

  16. Examination of bariatric surgery Facebook support groups: a content analysis.

    Science.gov (United States)

    Koball, Afton M; Jester, Dylan J; Domoff, Sarah E; Kallies, Kara J; Grothe, Karen B; Kothari, Shanu N

    2017-08-01

    Support following bariatric surgery is vital to ensure long-term postoperative success. Many individuals undergoing bariatric surgery are turning to online modalities, especially the popular social media platform Facebook, to access support groups and pages. Despite evidence suggesting that the majority of patients considering bariatric surgery are utilizing online groups, little is known about the actual content of these groups. The purpose of the present study was to conduct a content analysis of bariatric surgery support groups and pages on Facebook. Online via Facebook, independent academic medical center, United States. Data from bariatric surgery-related Facebook support groups and pages were extracted over a 1-month period in 2016. Salient content themes (e.g., progress posts, depression content, eating behaviors) were coded reliably (all κ> .70). More than 6,800 posts and replies were coded. Results indicated that seeking recommendations (11%), providing information or recommendations (53%), commenting on changes since surgery (19%), and lending support to other members (32%) were the most common types of posts. Content surrounding anxiety, eating behaviors, depression, body image, weight bias, and alcohol was found less frequently. Online bariatric surgery groups can be used to receive support, celebrate physical and emotional accomplishments, provide anecdotal accounts of the "bariatric lifestyle" for preoperative patients, and comment on challenges with mental health and experiences of weight bias. Providers should become acquainted with the content commonly found in online groups and exercise caution in recommending these platforms to information-seeking patients. Copyright © 2017 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

  17. A Hierarchical Generalized Linear Model in Combination with Dispersion Modeling to Improve Sib-Pair Linkage Analysis.

    Science.gov (United States)

    Lee, Woojoo; Kim, Jeonghwan; Lee, Youngjo; Park, Taesung; Suh, Young Ju

    2015-01-01

    We explored a hierarchical generalized linear model (HGLM) in combination with dispersion modeling to improve the sib-pair linkage analysis based on the revised Haseman-Elston regression model for a quantitative trait. A dispersion modeling technique was investigated for sib-pair linkage analysis using simulation studies and real data applications. We considered 4 heterogeneous dispersion settings according to a signal-to-noise ratio (SNR) in the various statistical models based on the Haseman-Elston regression model. Our numerical studies demonstrated that susceptibility loci could be detected well by modeling the dispersion parameter appropriately. In particular, the HGLM had better performance than the linear regression model and the ordinary linear mixed model when the SNR is low, i.e., when substantial noise was present in the data. The study shows that the HGLM in combination with dispersion modeling can be utilized to identify multiple markers showing linkage to familial complex traits accurately. Appropriate dispersion modeling might be more powerful to identify markers closest to the major genes which determine a quantitative trait. © 2015 S. Karger AG, Basel.

  18. A comprehensive meta-analysis of Triple P-Positive Parenting Program using hierarchical linear modeling: effectiveness and moderating variables.

    Science.gov (United States)

    Nowak, Christoph; Heinrichs, Nina

    2008-09-01

    A meta-analysis encompassing all studies evaluating the impact of the Triple P-Positive Parenting Program on parent and child outcome measures was conducted in an effort to identify variables that moderate the program's effectiveness. Hierarchical linear models (HLM) with three levels of data were employed to analyze effect sizes. The results (N=55 studies) indicate that Triple P causes positive changes in parenting skills, child problem behavior and parental well-being in the small to moderate range, varying as a function of the intensity of the intervention. The most salient findings of variables moderating the interventions' impact were larger effects found on parent report as compared to observational measures and more improvement associated with more intensive formats and initially more distressed families. Sample characteristics (e.g., child's age, being a boy) and methodological features (e.g., study quality) exhibited different degrees of predictive power. The analysis clearly identified several strengths of the Triple P system, most importantly its ability to effect meaningful improvement in parents and children. Some limitations pertain to the small evidence-base of certain formats of Triple P and the lack of follow-up data beyond 3 years after the intervention. Many of the present findings may be relevant to other evidence-based parenting programs.

  19. Linking bovine tuberculosis on cattle farms to white-tailed deer and environmental variables using Bayesian hierarchical analysis

    Science.gov (United States)

    Walter, William D.; Smith, Rick; Vanderklok, Mike; VerCauterren, Kurt C.

    2014-01-01

    Bovine tuberculosis is a bacterial disease caused by Mycobacterium bovis in livestock and wildlife with hosts that include Eurasian badgers (Meles meles), brushtail possum (Trichosurus vulpecula), and white-tailed deer (Odocoileus virginianus). Risk-assessment efforts in Michigan have been initiated on farms to minimize interactions of cattle with wildlife hosts but research onM. bovis on cattle farms has not investigated the spatial context of disease epidemiology. To incorporate spatially explicit data, initial likelihood of infection probabilities for cattle farms tested for M. bovis, prevalence of M. bovis in white-tailed deer, deer density, and environmental variables for each farm were modeled in a Bayesian hierarchical framework. We used geo-referenced locations of 762 cattle farms that have been tested for M. bovis, white-tailed deer prevalence, and several environmental variables that may lead to long-term survival and viability of M. bovis on farms and surrounding habitats (i.e., soil type, habitat type). Bayesian hierarchical analyses identified deer prevalence and proportion of sandy soil within our sampling grid as the most supported model. Analysis of cattle farms tested for M. bovisidentified that for every 1% increase in sandy soil resulted in an increase in odds of infection by 4%. Our analysis revealed that the influence of prevalence of M. bovis in white-tailed deer was still a concern even after considerable efforts to prevent cattle interactions with white-tailed deer through on-farm mitigation and reduction in the deer population. Cattle farms test positive for M. bovis annually in our study area suggesting that the potential for an environmental source either on farms or in the surrounding landscape may contributing to new or re-infections with M. bovis. Our research provides an initial assessment of potential environmental factors that could be incorporated into additional modeling efforts as more knowledge of deer herd

  20. [Content analysis of health food advertisements in Japanese newspapers].

    Science.gov (United States)

    Akamatsu, Rie; Umegaki, Keizo

    2010-04-01

    To examine the content of health food advertisements in Japanese newspapers using content analysis, a qualitative study method. Health food advertisements were selected from five major Japanese newspapers (Asahi, Sankei, Nihon Keizai, Mainichi, and Yomiuri) in October 2007. Fourteen items were checked, including the newspaper's name and the size of the advertisement, health food category [Food for a Specified Health Use (FSHU), Food with Nutrient Function Claims (FNFC), Japan Health Food Authorization (JHFA), and "others"], health claims, and functional ingredients. In all, 541 advertisements were found: 12.4% for FSHU, 6.3% for FNFC, 4.3% for JHFA, and 77.1% for others. Ninety-five functional ingredients were identified, and most advertisements extolled the savings of the health foods (e.g., discount messages) and health claims (70.6% and 60.8%, respectively). The content of advertisements differed according to the health food category, and the ingredients shown in the FNFC advertisements differed according to permission by the Japanese regulatory body. In summary, most health food advertisements in Japanese newspapers were for "other" health foods, the content varied according to the health food category, and the ingredients shown in FNFC advertisements differed with permission of the Japanese regulatory body. Education in media literacy is recommended for consumers.

  1. Exploratory factor analysis in Rehabilitation Psychology: a content analysis.

    Science.gov (United States)

    Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N

    2014-11-01

    Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.

  2. An efficient hierarchical generalized linear mixed model for pathway analysis of genome-wide association studies.

    Science.gov (United States)

    Wang, Lily; Jia, Peilin; Wolfinger, Russell D; Chen, Xi; Grayson, Britney L; Aune, Thomas M; Zhao, Zhongming

    2011-03-01

    In genome-wide association studies (GWAS) of complex diseases, genetic variants having real but weak associations often fail to be detected at the stringent genome-wide significance level. Pathway analysis, which tests disease association with combined association signals from a group of variants in the same pathway, has become increasingly popular. However, because of the complexities in genetic data and the large sample sizes in typical GWAS, pathway analysis remains to be challenging. We propose a new statistical model for pathway analysis of GWAS. This model includes a fixed effects component that models mean disease association for a group of genes, and a random effects component that models how each gene's association with disease varies about the gene group mean, thus belongs to the class of mixed effects models. The proposed model is computationally efficient and uses only summary statistics. In addition, it corrects for the presence of overlapping genes and linkage disequilibrium (LD). Via simulated and real GWAS data, we showed our model improved power over currently available pathway analysis methods while preserving type I error rate. Furthermore, using the WTCCC Type 1 Diabetes (T1D) dataset, we demonstrated mixed model analysis identified meaningful biological processes that agreed well with previous reports on T1D. Therefore, the proposed methodology provides an efficient statistical modeling framework for systems analysis of GWAS. The software code for mixed models analysis is freely available at http://biostat.mc.vanderbilt.edu/LilyWang.

  3. Incorporating Semantics into Data Driven Workflows for Content Based Analysis

    Science.gov (United States)

    Argüello, M.; Fernandez-Prieto, M. J.

    Finding meaningful associations between text elements and knowledge structures within clinical narratives in a highly verbal domain, such as psychiatry, is a challenging goal. The research presented here uses a small corpus of case histories and brings into play pre-existing knowledge, and therefore, complements other approaches that use large corpus (millions of words) and no pre-existing knowledge. The paper describes a variety of experiments for content-based analysis: Linguistic Analysis using NLP-oriented approaches, Sentiment Analysis, and Semantically Meaningful Analysis. Although it is not standard practice, the paper advocates providing automatic support to annotate the functionality as well as the data for each experiment by performing semantic annotation that uses OWL and OWL-S. Lessons learnt can be transmitted to legacy clinical databases facing the conversion of clinical narratives according to prominent Electronic Health Records standards.

  4. Generic Approach for Hierarchical Modulation Performance Analysis: Application to DVB-SH and DVB-S2

    CERN Document Server

    Méric, Hugo; Amiot-Bazile, Caroline; Arnal, Fabrice; Boucheret, Marie-Laure

    2011-01-01

    Broadcasting systems have to deal with channel variability in order to offer the best rate to the users. Hierarchical modulation is a practical solution to provide different rates to the receivers in function of the channel quality. Unfortunately, the performance evaluation of such modulations requires time consuming simulations. We propose in this paper a novel approach based on the channel capacity to avoid these simulations. The method allows to study the performance of hierarchical and also classical modulations combined with error correcting codes. We will also compare hierarchical modulation with time sharing strategy in terms of achievable rates and indisponibility. Our work will be applied to the DVB-SH and DVB-S2 standards, which both consider hierarchical modulation as an optional feature.

  5. A content analysis of food advertising on Turkish television.

    Science.gov (United States)

    Akçil Ok, Mehtap; Ercan, Aydan; Kaya, Fatih Suleyman

    2016-12-01

    The aim of this study was to conduct a comprehensive content analysis of Television (TV) food advertising and compare various food advertisements on free-to-air Turkish national TV channels by broadcast time (duration) and frequency over the period of a week (19-25 April 2012). TV food advertisements were the unit of content analysis in this study. Each advertisement identified as promoting a food product was analysed for content; non-food advertisements were not analysed, although they were counted as a proportion of the advertisements aired. We recorded all programmes for 4 h each per day (7 p.m.-11 p.m.), totalling 84 h. Five types of food-related advertisements were identified (basic foods, junk foods, meat products, beverages and fast food), and six types of non-food advertisements. The Student t-test and ANOVA were used to compare the mean broadcast time of all prime time advertising for the two groups. The mean broadcast times for prime time, non-food advertisements showed a statistically significant difference (p advertisements increased during this time period, while the broadcast time per beverage advertisement decreased (ratio = 20.8 s per ads). As a result, TV food advertising increased not only during dinner time but also in overall broadcast time (per advertisement). These findings may be useful for explaining how advertising can negatively influence food choices, thereby increasing public awareness of the need for health messages targeting obesity.

  6. The Contents and Measures of the Junior Middle School Mathematics Hierarchical Teaching%初中数学分层教学的内容与措施

    Institute of Scientific and Technical Information of China (English)

    李永锋

    2014-01-01

    面对初中教学法方法要求的不断提高,教学方法也在不停地改进和更新。为了使因材施教真正落实,分层教学不失为一种好的教学方法。面对初中学生,教师可以在课堂教学中进行分层教学,将学生分层、分层备课、辅导、考查评价等逐步分层开展,这样可以让学生更容易接受和理解数学,并且容易取得进步。%Facing the requirements of teaching junior high school methods continue to improve, the teaching method is also constantly im-prove andupdate. In order to make the students according to their aptitude for realstratified teaching is a good teaching method. In the face of ju nior high school students, teachers can be layered teaching in classroom teaching,the students stratified, hierarchical classes, tutoring and test e valuationstep by step to carry out, so that the students can accept and understand mathematics more easily, and easy to make progress.

  7. Summary receiver operating characteristics (SROC) and hierarchical SROC models for analysis of diagnostic test evaluations of antibody ELISAs for paratuberculosis.

    Science.gov (United States)

    Toft, Nils; Nielsen, Søren S

    2009-11-15

    Critical, systematic reviews of available diagnostic test evaluations are a meticulous approach to synthesize evidence about a diagnostic test. However, often the review finds that data quality is poor due to deficiencies in design and reporting of the test evaluations and formal statistical comparisons are discouraged. Even when only simple summary measures are appropriate, the strong correlation between sensitivity and specificity and their dependence on differences in diagnostic threshold across studies, creates the need for tools to summarise properties of the diagnostic test under investigation. This study presents summary receiver operating characteristics (SROC) analysis as a means to synthesize information from diagnostic test evaluation studies. Using data from a review of diagnostic tests for ante mortem diagnosis of paratuberculosis as an illustration, SROC and hierarchical SROC (HSROC) analysis were used to estimate overall diagnostic accuracies of antibody ELISAs for bovine paratuberculosis while accounting for covariates: the target condition (infectious or infected) used in the test evaluation (one for the evaluation of Se and one for Sp); and the type of test (serum vs. milk). The methods gave comparable results (regarding the estimated diagnostic log odds ratio), considering the small sample size and the quality of data. The SROC analysis found a difference in the performance of tests when the target condition for evaluation of Se was infected rather than infectious, suggesting that ELISAs are not suitable for detecting infected cattle. However, the SROC model does not take differences in sample size between study units into account, whereas the HSROC allows for both between and within study variation. Considering the small sample size, more credibility should be given to the results of the HSROC. For both methods the area under the (H)SROC curve was calculated and results were comparable. The conclusion is that while the SROC is simpler and easier

  8. A BAYESIAN HIERARCHICAL SPATIAL POINT PROCESS MODEL FOR MULTI-TYPE NEUROIMAGING META-ANALYSIS.

    Science.gov (United States)

    Kang, Jian; Nichols, Thomas E; Wager, Tor D; Johnson, Timothy D

    2014-09-01

    Neuroimaging meta-analysis is an important tool for finding consistent effects over studies that each usually have 20 or fewer subjects. Interest in meta-analysis in brain mapping is also driven by a recent focus on so-called "reverse inference": where as traditional "forward inference" identifies the regions of the brain involved in a task, a reverse inference identifies the cognitive processes that a task engages. Such reverse inferences, however, requires a set of meta-analysis, one for each possible cognitive domain. However, existing methods for neuroimaging meta-analysis have significant limitations. Commonly used methods for neuroimaging meta-analysis are not model based, do not provide interpretable parameter estimates, and only produce null hypothesis inferences; further, they are generally designed for a single group of studies and cannot produce reverse inferences. In this work we address these limitations by adopting a non-parametric Bayesian approach for meta analysis data from multiple classes or types of studies. In particular, foci from each type of study are modeled as a cluster process driven by a random intensity function that is modeled as a kernel convolution of a gamma random field. The type-specific gamma random fields are linked and modeled as a realization of a common gamma random field, shared by all types, that induces correlation between study types and mimics the behavior of a univariate mixed effects model. We illustrate our model on simulation studies and a meta analysis of five emotions from 219 studies and check model fit by a posterior predictive assessment. In addition, we implement reverse inference by using the model to predict study type from a newly presented study. We evaluate this predictive performance via leave-one-out cross validation that is efficiently implemented using importance sampling techniques.

  9. 'Schizophrenia' on Twitter: Content Analysis of Greek Language Tweets.

    Science.gov (United States)

    Athanasopoulou, Christina; Sakellari, Evanthia

    2016-01-01

    Twitter is an online space whose users can create and share ideas and information instantly. The term schizophrenia is frequently used in a stigmatizing way in Greek language. In Greece, Twitter is the tenth most popular website. Tweets related to schizophrenia in Greek language, have not been investigated. We aimed to examine schizophrenia Tweets in comparison with other illness (diabetes). Deductive content analysis was applied. Schizophrenia Tweets (n=239), tended to be more negative, medically inappropriate, sarcastic, and used non-medically than diabetes Tweets (n=205). Our findings confirm the frequent, non-medical misuse of the term 'schizophrenia' in online sources written in Greek language. These results show that mental health education interventions are needed to raise awareness among the general population, in order to eliminate stigmatizing behaviors. Future anti-stigma actions, could also raise awareness among Internet users about the importance of, avoiding using medical terms in negative or sarcastic ways, and eliminate any potential stigmatizing content.

  10. Content-based analysis and indexing of sports video

    Science.gov (United States)

    Luo, Ming; Bai, Xuesheng; Xu, Guang-you

    2001-12-01

    An explosion of on-line image and video data in digital form is already well underway. With the exponential rise in interactive information exploration and dissemination through the World-Wide Web, the major inhibitors of rapid access to on-line video data are the management of capture and storage, and content-based intelligent search and indexing techniques. This paper proposes an approach for content-based analysis and event-based indexing of sports video. It includes a novel method to organize shots - classifying shots as close shots and far shots, an original idea of blur extent-based event detection, and an innovative local mutation-based algorithm for caption detection and retrieval. Results on extensive real TV programs demonstrate the applicability of our approach.

  11. Comparative Analysis of Splice Site Regions by Information Content

    Institute of Scientific and Technical Information of China (English)

    T. Shashi Rekha; Chanchal K. Mitra

    2006-01-01

    We have applied concepts from information theory for a comparative analysis of donor (gt) and acceptor (ag) splice site regions in the genes of five different organisms by calculating their mutual information content (relative entropy) over a selected block of nucleotides. A similar pattern that the information content decreases as the block size increases was observed for both regions in all the organisms studied. This result suggests that the information required for splicing might be contained in the consensus of ~6-8 nt at both regions. We assume from our study that even though the nucleotides are showing some degrees of conservation in the flanking regions of the splice sites, certain level of variability is still tolerated,which leads the splicing process to occur normally even if the extent of base pairing is not fully satisfied. We also suggest that this variability can be compensated by recognizing different splice sites with different spliceosomal factors.

  12. Identification and annotation of erotic film based on content analysis

    Science.gov (United States)

    Wang, Donghui; Zhu, Miaoliang; Yuan, Xin; Qian, Hui

    2005-02-01

    The paper brings forward a new method for identifying and annotating erotic films based on content analysis. First, the film is decomposed to video and audio stream. Then, the video stream is segmented into shots and key frames are extracted from each shot. We filter the shots that include potential erotic content by finding the nude human body in key frames. A Gaussian model in YCbCr color space for detecting skin region is presented. An external polygon that covered the skin regions is used for the approximation of the human body. Last, we give the degree of the nudity by calculating the ratio of skin area to whole body area with weighted parameters. The result of the experiment shows the effectiveness of our method.

  13. Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingness.

    Science.gov (United States)

    Zhang, Jing; Chu, Haitao; Hong, Hwanhee; Virnig, Beth A; Carlin, Bradley P

    2015-07-28

    Network meta-analysis expands the scope of a conventional pairwise meta-analysis to simultaneously compare multiple treatments, synthesizing both direct and indirect information and thus strengthening inference. Since most of trials only compare two treatments, a typical data set in a network meta-analysis managed as a trial-by-treatment matrix is extremely sparse, like an incomplete block structure with significant missing data. Zhang et al. proposed an arm-based method accounting for correlations among different treatments within the same trial and assuming that absent arms are missing at random. However, in randomized controlled trials, nonignorable missingness or missingness not at random may occur due to deliberate choices of treatments at the design stage. In addition, those undertaking a network meta-analysis may selectively choose treatments to include in the analysis, which may also lead to missingness not at random. In this paper, we extend our previous work to incorporate missingness not at random using selection models. The proposed method is then applied to two network meta-analyses and evaluated through extensive simulation studies. We also provide comprehensive comparisons of a commonly used contrast-based method and the arm-based method via simulations in a technical appendix under missing completely at random and missing at random.

  14. Hierarchical Symbolic Analysis of Large Analog Circuits with Totally Coded Method

    Institute of Scientific and Technical Information of China (English)

    XU Jing-bo

    2006-01-01

    Symbolic analysis has many applications in the design of analog circuits. Existing approaches rely on two forms of symbolic-expression representation: expanded sum-ofproduct form and arbitrarily nested form. Expanded form suffers the problem that the number of product terms grows exponentially with the size of a circuit. Nested form is neither canonical nor amenable to symbolic manipulation. In this paper, we present a new approach to exact and canonical symbolic analysis by exploiting the sparsity and sharing of product terms. This algorithm, called totally coded method (TCM), consists of representing the symbolic determinant of a circuit matrix by code series and performing symbolic analysis by code manipulation. We describe an efficient code-ordering heuristic and prove that it is optimum for ladder-structured circuits. For practical analog circuits, TCM not only covers all advantages of the algorithm via determinant decision diagrams (DDD) but is more simple and efficient than DDD method.

  15. Modeling and sensitivity analysis of consensus algorithm based distributed hierarchical control for dc microgrids

    DEFF Research Database (Denmark)

    Meng, Lexuan; Dragicevic, Tomislav; Vasquez, Juan Carlos

    2015-01-01

    of dynamic study. The aim of this paper is to model the complete DC microgrid system in z-domain and perform sensitivity analysis for the complete system. A generalized modeling method is proposed and the system dynamics under different control parameters, communication topologies and communication speed...... the dynamics of electrical and communication systems interact with each other. Apart from that, the communication characteristics also affect the dynamics of the system. Due to discrete nature of information exchange in communication network, Laplace domain analysis is not accurate enough for this kind...

  16. CONTENT ANALYSIS, DISCOURSE ANALYSIS, AND CONVERSATION ANALYSIS: PRELIMINARY STUDY ON CONCEPTUAL AND THEORETICAL METHODOLOGICAL DIFFERENCES

    Directory of Open Access Journals (Sweden)

    Anderson Tiago Peixoto Gonçalves

    2016-08-01

    Full Text Available This theoretical essay aims to reflect on three models of text interpretation used in qualitative research, which is often confused in its concepts and methodologies (Content Analysis, Discourse Analysis, and Conversation Analysis. After the presentation of the concepts, the essay proposes a preliminary discussion on conceptual and theoretical methodological differences perceived between them. A review of the literature was performed to support the conceptual and theoretical methodological discussion. It could be verified that the models have differences related to the type of strategy used in the treatment of texts, the type of approach, and the appropriate theoretical position.

  17. Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China

    Directory of Open Access Journals (Sweden)

    Jing Sun

    2016-11-01

    Full Text Available Object-based image analysis (OBIA is an emerging technique for analyzing remote sensing image based on object properties including spectral, geometry, contextual and texture information. To reduce the computational cost of this comprehensive OBIA and make it more feasible in disaster responses, we developed a unique approach – distributed and hierarchical OBIA approach for damage assessment. This study demonstrated a completed classification of YingXiu town, heavily devastated by the 2008 Wenchuan earthquake using Quickbrid imagery. Two distinctive areas, mountainous areas and urban, were analyzed separately. This approach does not require substantial processing power and large amounts of available memory because image of a large disaster-affected area was split in smaller pieces. Two or more computers could be used in parallel to process and analyze these sub-images based on different requirements. The approach can be applicable in other cases whereas the established set of rules can be adopted in similar study areas. More experiments will be carried out in future studies to prove its feasibility.

  18. Galaxy Number Counts in the Subaru Deep Field Multi-band Analysis in a Hierarchical Galaxy Formation Model

    CERN Document Server

    Nagashima, M; Totani, T; Gouda, N

    2002-01-01

    Number counts of galaxies are re-analyzed using a semi-analytic model (SAM) of galaxy formation based on the hierarchical clustering scenario. Faint galaxies in the Subaru Deep Field (SDF) and the Hubble Deep Field (HDF) are compared with our model galaxies. We have determined the astrophysical parameters in the SAM that reproduce observations of nearby galaxies, and used them to predict the number counts and redshifts of faint galaxies for three cosmological models, the standard cold dark matter (CDM) universe, a flat lambda-CDM, and an open CDM. The novelty of our SAM analysis is the inclusion of selection effects arising from the cosmological dimming of surface brightness of high-z galaxies, and from the absorption of visible light by internal dust and intergalactic HI clouds. As was found in our previous work, in which the UV/optical HDF galaxies were compared with our model galaxies, we find that our SAM reproduces counts of near-IR SDF galaxies in low-density models, and that the standard CDM universe i...

  19. [Tooth decay and associated factors among adolescents in the north of the State of Minas Gerais, Brazil: a hierarchical analysis].

    Science.gov (United States)

    Silveira, Marise Fagundes; Freire, Rafael Silveira; Nepomuceno, Marcela Oliveira; Martins, Andréa Maria Eleutério de Barros Lima; Marcopito, Luiz Francisco

    2015-11-01

    This is a cross-sectional population-based study (n = 763) conducted in the north of the State of Minas Gerais, which aimed to investigate the prevalence of tooth decay among adolescents and to identify the potential determinants of same. Probability sampling by conglomerates in multiple stages was used. Trained and calibrated professionals performed the data collection by means of intraoral examination and interviews in the previously selected households. In the analysis of the determinant factor for the presence of tooth decay, hierarchical binary logistic regression models were used. The prevalence of tooth decay, decayed, missing and filled teeth were 71.3%, 36.5%, 55.6% and 16%, respectively. The following averages were observed: DMFT (3.4 teeth), number of decayed (0.8 teeth), restored (2.4 teeth) and missing (0.2 teeth). The incidence of tooth decay was higher among adolescents who stated they were black/indigenous/brown (OR = 1.76), lived in crowded households (OR = 2.4), did not regularly visit or had never been to a dentist (OR = 1.9), used public or philanthropic services (OR = 1,8), had smoking habits (OR = 4.1), consumed alcohol (OR = 1.8), perceived their oral health negatively (OR = 5.9 and OR = 1.9) and had toothac in the last six months (OR = 2.0).

  20. Typing of unknown microorganisms based on quantitative analysis of fatty acids by mass spectrometry and hierarchical clustering

    Energy Technology Data Exchange (ETDEWEB)

    Li Tingting; Dai Ling; Li Lun; Hu Xuejiao; Dong Linjie; Li Jianjian; Salim, Sule Khalfan; Fu Jieying [Key Laboratory of Pesticides and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, Hubei 430079 (China); Zhong Hongying, E-mail: hyzhong@mail.ccnu.edu.cn [Key Laboratory of Pesticides and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, Hubei 430079 (China)

    2011-01-17

    Rapid identification of unknown microorganisms of clinical and agricultural importance is not only critical for accurate diagnosis of infections but also essential for appropriate and prompt treatment. We describe here a rapid method for microorganisms typing based on quantitative analysis of fatty acids by iFAT approach (Isotope-coded Fatty Acid Transmethylation). In this work, lyophilized cell lysates were directly mixed with 0.5 M NaOH solution in d3-methanol and n-hexane. After 1 min of ultrasonication, the top n-hexane layer was combined with a mixture of standard d0-methanol derived fatty acid methylesters with known concentration. Measurement of intensity ratios of d3/d0 labeled fragment ion and molecular ion pairs at the corresponding target fatty acids provides a quantitative basis for hierarchical clustering. In the resultant dendrogram, the Euclidean distance between unknown species and known species quantitatively reveals their differences or shared similarities in fatty acid related pathways. It is of particular interest to apply this method for typing fungal species because fungi has distinguished lipid biosynthetic pathways that have been targeted for lots of drugs or fungicides compared with bacteria and animals. The proposed method has no dependence on the availability of genome or proteome databases. Therefore, it is can be applicable for a broad range of unknown microorganisms or mutant species.

  1. Improved Estimates of the Milky Way's Stellar Mass and Star Formation Rate from Hierarchical Bayesian Meta-Analysis

    CERN Document Server

    Licquia, Timothy C

    2014-01-01

    We present improved estimates of several global properties of the Milky Way, including its current star formation rate (SFR), the stellar mass contained in its disk and bulge+bar components, as well as its total stellar mass. We do so by combining previous measurements from the literature using a hierarchical Bayesian (HB) statistical method that allows us to account for the possibility that any value may be incorrect or have underestimated errors. We show that this method is robust to a wide variety of assumptions about the nature of problems in individual measurements or error estimates. Ultimately, our analysis yields a SFR for the Galaxy of $\\dot{\\rm M}_\\star=1.65\\pm0.19$ ${\\rm M}_\\odot$ yr$^{-1}$. By combining HB methods with Monte Carlo simulations that incorporate the latest estimates of the Galactocentric radius of the Sun, $R_0$, the exponential scale-length of the disk, $L_d$, and the local surface density of stellar mass, $\\Sigma_\\star(R_0)$, we show that the mass of the Galactic bulge+bar is ${\\rm...

  2. Information Theoretical Analysis of Identification based on Active Content Fingerprinting

    OpenAIRE

    Farhadzadeh, F Farzad; Willems, FMJ Frans; Voloshynovskiy, S

    2014-01-01

    Content fingerprinting and digital watermarking are techniques that are used for content protection and distribution monitoring. Over the past few years, both techniques have been well studied and their shortcomings understood. Recently, a new content fingerprinting scheme called {\\em active content fingerprinting} was introduced to overcome these shortcomings. Active content fingerprinting aims to modify a content to extract robuster fingerprints than the conventional content fingerprinting....

  3. Information theoretical analysis of identification based on active content fingerprinting

    OpenAIRE

    Farhadzadeh, F Farzad; Willems, FMJ Frans; Voloshynovskiy, S

    2014-01-01

    Content fingerprinting and digital watermarking are techniques that are used for content protection and distribution monitoring. Over the past few years, both techniques have been well studied and their shortcomings understood. Recently, a new content fingerprinting scheme called {\\em active content fingerprinting} was introduced to overcome these shortcomings. Active content fingerprinting aims to modify a content to extract robuster fingerprints than the conventional content fingerprinting....

  4. Global trends and factors associated with the illegal killing of elephants: A hierarchical bayesian analysis of carcass encounter data.

    Science.gov (United States)

    Burn, Robert W; Underwood, Fiona M; Blanc, Julian

    2011-01-01

    Elephant poaching and the ivory trade remain high on the agenda at meetings of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Well-informed debates require robust estimates of trends, the spatial distribution of poaching, and drivers of poaching. We present an analysis of trends and drivers of an indicator of elephant poaching of all elephant species. The site-based monitoring system known as Monitoring the Illegal Killing of Elephants (MIKE), set up by the 10(th) Conference of the Parties of CITES in 1997, produces carcass encounter data reported mainly by anti-poaching patrols. Data analyzed were site by year totals of 6,337 carcasses from 66 sites in Africa and Asia from 2002-2009. Analysis of these observational data is a serious challenge to traditional statistical methods because of the opportunistic and non-random nature of patrols, and the heterogeneity across sites. Adopting a bayesian hierarchical modeling approach, we used the proportion of carcasses that were illegally killed (PIKE) as a poaching index, to estimate the trend and the effects of site- and country-level factors associated with poaching. Important drivers of illegal killing that emerged at country level were poor governance and low levels of human development, and at site level, forest cover and area of the site in regions where human population density is low. After a drop from 2002, PIKE remained fairly constant from 2003 until 2006, after which it increased until 2008. The results for 2009 indicate a decline. Sites with PIKE ranging from the lowest to the highest were identified. The results of the analysis provide a sound information base for scientific evidence-based decision making in the CITES process.

  5. Global trends and factors associated with the illegal killing of elephants: A hierarchical bayesian analysis of carcass encounter data.

    Directory of Open Access Journals (Sweden)

    Robert W Burn

    Full Text Available Elephant poaching and the ivory trade remain high on the agenda at meetings of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES. Well-informed debates require robust estimates of trends, the spatial distribution of poaching, and drivers of poaching. We present an analysis of trends and drivers of an indicator of elephant poaching of all elephant species. The site-based monitoring system known as Monitoring the Illegal Killing of Elephants (MIKE, set up by the 10(th Conference of the Parties of CITES in 1997, produces carcass encounter data reported mainly by anti-poaching patrols. Data analyzed were site by year totals of 6,337 carcasses from 66 sites in Africa and Asia from 2002-2009. Analysis of these observational data is a serious challenge to traditional statistical methods because of the opportunistic and non-random nature of patrols, and the heterogeneity across sites. Adopting a bayesian hierarchical modeling approach, we used the proportion of carcasses that were illegally killed (PIKE as a poaching index, to estimate the trend and the effects of site- and country-level factors associated with poaching. Important drivers of illegal killing that emerged at country level were poor governance and low levels of human development, and at site level, forest cover and area of the site in regions where human population density is low. After a drop from 2002, PIKE remained fairly constant from 2003 until 2006, after which it increased until 2008. The results for 2009 indicate a decline. Sites with PIKE ranging from the lowest to the highest were identified. The results of the analysis provide a sound information base for scientific evidence-based decision making in the CITES process.

  6. A Socio-Technical Analysis of Web Content Management: "Content is King."

    Science.gov (United States)

    Eschenfelder, Kristin

    2001-01-01

    Examines how ongoing content management needs and tasks affect organizations that maintain Web-based information systems (Web IS). Investigates how organizational context shapes content management practice and configuration of the underlying Web IS technology. Presents a model of the socio-technical context of Web IS content management. (AEF)

  7. Catalysts to Spiritual Care Delivery: A Content Analysis.

    Science.gov (United States)

    Ramezani, Monir; Ahmadi, Fazlollah; Mohammadi, Eesa; Kazemnejad, Anoshirvan

    2016-03-01

    Despite the paramount importance and direct relationship of spirituality and spiritual care with health and well-being, they are relatively neglected aspects of nursing care. The aim of this study is to explore Iranian nurses' perceptions and experiences of the facilitators of spiritual care delivery. For this qualitative content analysis study, a purposive maximum-variation sample of 17 nurses was recruited from teaching and private hospitals in Tehran, Iran. Data were collected from 19 individual, unstructured interviews. The conventional content-analysis approach was applied in data analysis. The facilitators of spiritual care delivery fall into two main themes: living to achieve cognizance of divinity and adherence to professional ethics. These two main themes are further divided into eight categories: spiritual self-care, active learning, professional belonging, personal and professional competencies, gradual evolution under divine guidance, awareness of the spiritual dimension of human beings, occurrence of awakening flashes and incidents during life, and congruence between patients' and healthcare providers' religious beliefs. The study findings suggest that the facilitators of spiritual care delivery are more personal than organizational. Accordingly, strategies to improve the likelihood and quality of spiritual care delivery should be developed and implemented primarily at the personal level.

  8. Structural analysis of the epitaxial interface Ag/ZnO in hierarchical nanoantennas.

    Science.gov (United States)

    Sanchez, John Eder; Santiago, Ulises; Benitez, Alfredo; Yacamán, Miguel José; González, Francisco Javier; Ponce, Arturo

    2016-10-10

    Detectors, photo-emitter, and other high order radiation devices work under the principle of directionality to enhance the power of emission/transmission in a particular direction. In order to understand such directionality, it is important to study their coupling mechanism of their active elements. In this work, we present a crystalline orientation analysis of ZnO nanorods grown epitaxially on the pentagonal faces of silver nanowires. The analysis of the crystalline orientation at the metal-semiconductor interface (ZnO/Ag) is performed with precession electron diffraction under assisted scanning mode. In addition, high resolution X-ray diffraction on a Bragg-Brentano configuration has been used to identify the crystalline phases of the arrangement between ZnO rods and silver nanowires. The work presented herein provides a fundamental knowledge to understand the metal-semiconductor behavior related to the receiving/transmitting mechanisms of ZnO/Ag nanoantennas.

  9. Structural analysis of the epitaxial interface Ag/ZnO in hierarchical nanoantennas

    Science.gov (United States)

    Sanchez, John Eder; Santiago, Ulises; Benitez, Alfredo; Yacamán, Miguel José; González, Francisco Javier; Ponce, Arturo

    2016-10-01

    Detectors, photo-emitter, and other high order radiation devices work under the principle of directionality to enhance the power of emission/transmission in a particular direction. In order to understand such directionality, it is important to study their coupling mechanism of their active elements. In this work, we present a crystalline orientation analysis of ZnO nanorods grown epitaxially on the pentagonal faces of silver nanowires. The analysis of the crystalline orientation at the metal-semiconductor interface (ZnO/Ag) is performed with precession electron diffraction under assisted scanning mode. In addition, high resolution X-ray diffraction on a Bragg-Brentano configuration has been used to identify the crystalline phases of the arrangement between ZnO rods and silver nanowires. The work presented herein provides a fundamental knowledge to understand the metal-semiconductor behavior related to the receiving/transmitting mechanisms of ZnO/Ag nanoantennas.

  10. A Historical Context Analysis of Changes in Content Management Ideology

    Science.gov (United States)

    2005-03-01

    content management system (Doyle, 2004). The dynamic capability of digital...as multiple media publication of content…..publication is rarely automated unless a content management system is in place” (Rockley, Kostur et al...Investments: An Assessment of Investment Alternatives for a Web Content Management System 2002 CM web ContentP2P: a peer-to-peer content management system

  11. Flexible surveillance system architecture for prototyping video content analysis algorithms

    Science.gov (United States)

    Wijnhoven, R. G. J.; Jaspers, E. G. T.; de With, P. H. N.

    2006-01-01

    Many proposed video content analysis algorithms for surveillance applications are very computationally intensive, which limits the integration in a total system, running on one processing unit (e.g. PC). To build flexible prototyping systems of low cost, a distributed system with scalable processing power is therefore required. This paper discusses requirements for surveillance systems, considering two example applications. From these requirements, specifications for a prototyping architecture are derived. An implementation of the proposed architecture is presented, enabling mapping of multiple software modules onto a number of processing units (PCs). The architecture enables fast prototyping of new algorithms for complex surveillance applications without considering resource constraints.

  12. Multi-Core Processor Memory Contention Benchmark Analysis Case Study

    Science.gov (United States)

    Simon, Tyler; McGalliard, James

    2009-01-01

    Multi-core processors dominate current mainframe, server, and high performance computing (HPC) systems. This paper provides synthetic kernel and natural benchmark results from an HPC system at the NASA Goddard Space Flight Center that illustrate the performance impacts of multi-core (dual- and quad-core) vs. single core processor systems. Analysis of processor design, application source code, and synthetic and natural test results all indicate that multi-core processors can suffer from significant memory subsystem contention compared to similar single-core processors.

  13. Multimedia content analysis, management and retrieval: trends and challenges

    Science.gov (United States)

    Hanjalic, Alan; Sebe, Nicu; Chang, Edward

    2006-01-01

    Recent advances in computing, communications and storage technology have made multimedia data become prevalent. Multimedia has gained enormous potential in improving the processes in a wide range of fields, such as advertising and marketing, education and training, entertainment, medicine, surveillance, wearable computing, biometrics, and remote sensing. Rich content of multimedia data, built through the synergies of the information contained in different modalities, calls for new and innovative methods for modeling, processing, mining, organizing, and indexing of this data for effective and efficient searching, retrieval, delivery, management and sharing of multimedia content, as required by the applications in the abovementioned fields. The objective of this paper is to present our views on the trends that should be followed when developing such methods, to elaborate on the related research challenges, and to introduce the new conference, Multimedia Content Analysis, Management and Retrieval, as a premium venue for presenting and discussing these methods with the scientific community. Starting from 2006, the conference will be held annually as a part of the IS&T/SPIE Electronic Imaging event.

  14. Analysis of undergraduate cell biology contents in Brazilian public universities.

    Science.gov (United States)

    Mermelstein, Claudia; Costa, Manoel Luis

    2017-04-01

    The enormous amount of information available in cell biology has created a challenge in selecting the core concepts we should be teaching our undergraduates. One way to define a set of essential core ideas in cell biology is to analyze what a specific cell biology community is teaching their students. Our main objective was to analyze the cell biology content currently being taught in Brazilian universities. We collected the syllabi of cell biology courses from public universities in Brazil and analyzed the frequency of cell biology topics in each course. We also compared the Brazilian data with the contents of a major cell biology textbook. Our analysis showed that while some cell biology topics such as plasma membrane and cytoskeleton was present in ∼100% of the Brazilian curricula analyzed others such as cell signaling and cell differentiation were present in only ∼35%. The average cell biology content taught in the Brazilian universities is quite different from what is presented in the textbook. We discuss several possible explanations for these observations. We also suggest a list with essential cell biology topics for any biological or biomedical undergraduate course. The comparative discussion of cell biology topics presented here could be valuable in other educational contexts.

  15. Snacking on Television: A Content Analysis of Adolescents’ Favorite Shows

    Science.gov (United States)

    Larson, Nicole I.; Gollust, Sarah E.; Neumark-Sztainer, Dianne

    2016-01-01

    Introduction Snacking is a complex behavior that may be influenced by entertainment media. Research suggests that snacking and unhealthy foods are commonly shown in programming that targets young audiences, but shows selected for study have been limited. We conducted a content analysis on shows that were named as favorites by adolescents to characterize portrayals of snacking on popular television. Methods A diverse sample of 2,130 adolescents (mean age, 14.3 y) listed 3 favorite television shows in a 2010 school-based survey. Three episodes each of the 25 most popular shows were coded for food-related content, including healthfulness, portion size, screen time use, setting, and social context. We also analyzed the characteristics of characters involved in eating incidents, the show type, and the show rating. We used χ2 tests, binomial tests, and multilevel regression models to compare incidence of snacks versus meals, the characteristics of those involved, and snacking across show characteristics. Results Almost half of food incidents on television shows were snacks. Snacks were significantly more likely than meals to be “mostly unhealthy” (69.3% vs 22.6%, P Sitcoms and shows rated for a youth audience were significantly more likely to portray snacking than were shows for adult audiences. Conclusion Media awareness and literacy programs should include foods and snacking behaviors among the issues they address. More healthful portrayals of food and dietary intake in entertainment shows’ content would create a healthier media environment for youth. PMID:27197079

  16. Content Analysis of Trends in Print Magazine Tobacco Advertisements.

    Science.gov (United States)

    Banerjee, Smita; Shuk, Elyse; Greene, Kathryn; Ostroff, Jamie

    2015-07-01

    To provide a descriptive and comparative content analysis of tobacco print magazine ads, with a focus on rhetorical and persuasive themes. Print tobacco ads for cigarettes, cigars, e-cigarettes, moist snuff, and snus (N = 171) were content analyzed for the physical composition/ad format (e.g., size of ad, image, setting, branding, warning label) and the content of the ad (e.g., rhetorical themes, persuasive themes). The theme of pathos (that elicits an emotional response) was most frequently utilized for cigarette (61%), cigar (50%), and moist snuff (50%) ads, and the theme of logos (use of logic or facts to support position) was most frequently used for e-cigarette (85%) ads. Additionally, comparative claims were most frequently used for snus (e.g., "spit-free," "smoke-free") and e-cigarette ads (e.g., "no tobacco smoke, only vapor," "no odor, no ash"). Comparative claims were also used in cigarette ads, primarily to highlight availability in different flavors (e.g., "bold," "menthol"). This study has implications for tobacco product marketing regulation, particularly around limiting tobacco advertising in publications with a large youth readership and prohibiting false or misleading labels, labeling, and advertising for tobacco products, such as modified risk (unless approved by the FDA) or therapeutic claims.

  17. Functional annotation of hierarchical modularity.

    Directory of Open Access Journals (Sweden)

    Kanchana Padmanabhan

    Full Text Available In biological networks of molecular interactions in a cell, network motifs that are biologically relevant are also functionally coherent, or form functional modules. These functionally coherent modules combine in a hierarchical manner into larger, less cohesive subsystems, thus revealing one of the essential design principles of system-level cellular organization and function-hierarchical modularity. Arguably, hierarchical modularity has not been explicitly taken into consideration by most, if not all, functional annotation systems. As a result, the existing methods would often fail to assign a statistically significant functional coherence score to biologically relevant molecular machines. We developed a methodology for hierarchical functional annotation. Given the hierarchical taxonomy of functional concepts (e.g., Gene Ontology and the association of individual genes or proteins with these concepts (e.g., GO terms, our method will assign a Hierarchical Modularity Score (HMS to each node in the hierarchy of functional modules; the HMS score and its p-value measure functional coherence of each module in the hierarchy. While existing methods annotate each module with a set of "enriched" functional terms in a bag of genes, our complementary method provides the hierarchical functional annotation of the modules and their hierarchically organized components. A hierarchical organization of functional modules often comes as a bi-product of cluster analysis of gene expression data or protein interaction data. Otherwise, our method will automatically build such a hierarchy by directly incorporating the functional taxonomy information into the hierarchy search process and by allowing multi-functional genes to be part of more than one component in the hierarchy. In addition, its underlying HMS scoring metric ensures that functional specificity of the terms across different levels of the hierarchical taxonomy is properly treated. We have evaluated our

  18. Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model.

    Science.gov (United States)

    Oravecz, Zita; Tuerlinckx, Francis; Vandekerckhove, Joachim

    2016-01-01

    In this paper, we propose a multilevel process modeling approach to describing individual differences in within-person changes over time. To characterize changes within an individual, repeated measures over time are modeled in terms of three person-specific parameters: a baseline level, intraindividual variation around the baseline, and regulatory mechanisms adjusting toward baseline. Variation due to measurement error is separated from meaningful intraindividual variation. The proposed model allows for the simultaneous analysis of longitudinal measurements of two linked variables (bivariate longitudinal modeling) and captures their relationship via two person-specific parameters. Relationships between explanatory variables and model parameters can be studied in a one-stage analysis, meaning that model parameters and regression coefficients are estimated simultaneously. Mathematical details of the approach, including a description of the core process model-the Ornstein-Uhlenbeck model-are provided. We also describe a user friendly, freely accessible software program that provides a straightforward graphical interface to carry out parameter estimation and inference. The proposed approach is illustrated by analyzing data collected via self-reports on affective states.

  19. Rapid recognition of drug-resistance/sensitivity in leukemic cells by Fourier transform infrared microspectroscopy and unsupervised hierarchical cluster analysis.

    Science.gov (United States)

    Bellisola, Giuseppe; Cinque, Gianfelice; Vezzalini, Marzia; Moratti, Elisabetta; Silvestri, Giovannino; Redaelli, Sara; Gambacorti Passerini, Carlo; Wehbe, Katia; Sorio, Claudio

    2013-07-21

    We tested the ability of Fourier Transform (FT) InfraRed (IR) microspectroscopy (microFTIR) in combination with unsupervised Hierarchical Cluster Analysis (HCA) in identifying drug-resistance/sensitivity in leukemic cells exposed to tyrosine kinase inhibitors (TKIs). Experiments were carried out in a well-established mouse model of human Chronic Myelogenous Leukemia (CML). Mouse-derived pro-B Ba/F3 cells transfected with and stably expressing the human p210(BCR-ABL) drug-sensitive wild-type BCR-ABL or the V299L or T315I p210(BCR-ABL) drug-resistant BCR-ABL mutants were exposed to imatinib-mesylate (IMA) or dasatinib (DAS). MicroFTIR was carried out at the Diamond IR beamline MIRIAM where the mid-IR absorbance spectra of individual Ba/F3 cells were acquired using the high brilliance IR synchrotron radiation (SR) via aperture of 15 × 15 μm(2) in sizes. A conventional IR source (globar) was used to compare average spectra over 15 cells or more. IR signatures of drug actions were identified by supervised analyses in the spectra of TKI-sensitive cells. Unsupervised HCA applied to selected intervals of wavenumber allowed us to classify the IR patterns of viable (drug-resistant) and apoptotic (drug-sensitive) cells with an accuracy of >95%. The results from microFTIR + HCA analysis were cross-validated with those obtained via immunochemical methods, i.e. immunoblotting and flow cytometry (FC) that resulted directly and significantly correlated. We conclude that this combined microFTIR + HCA method potentially represents a rapid, convenient and robust screening approach to study the impact of drugs in leukemic cells as well as in peripheral blasts from patients in clinical trials with new anti-leukemic drugs.

  20. Land-use intensity and the effects of organic farming on biodiversity: a hierarchical meta-analysis.

    Science.gov (United States)

    Tuck, Sean L; Winqvist, Camilla; Mota, Flávia; Ahnström, Johan; Turnbull, Lindsay A; Bengtsson, Janne

    2014-06-01

    The benefits of organic farming to biodiversity in agricultural landscapes continue to be hotly debated, emphasizing the importance of precisely quantifying the effect of organic vs. conventional farming. We conducted an updated hierarchical meta-analysis of studies that compared biodiversity under organic and conventional farming methods, measured as species richness. We calculated effect sizes for 184 observations garnered from 94 studies, and for each study, we obtained three standardized measures reflecting land-use intensity. We investigated the stability of effect sizes through time, publication bias due to the 'file drawer' problem, and consider whether the current literature is representative of global organic farming patterns. On average, organic farming increased species richness by about 30%. This result has been robust over the last 30 years of published studies and shows no sign of diminishing. Organic farming had a greater effect on biodiversity as the percentage of the landscape consisting of arable fields increased, that is, it is higher in intensively farmed regions. The average effect size and the response to agricultural intensification depend on taxonomic group, functional group and crop type. There is some evidence for publication bias in the literature; however, our results are robust to its impact. Current studies are heavily biased towards northern and western Europe and North America, while other regions with large areas of organic farming remain poorly investigated. Synthesis and applications. Our analysis affirms that organic farming has large positive effects on biodiversity compared with conventional farming, but that the effect size varies with the organism group and crop studied, and is greater in landscapes with higher land-use intensity. Decisions about where to site organic farms to maximize biodiversity will, however, depend on the costs as well as the potential benefits. Current studies have been heavily biased towards

  1. Efficient hierarchical analysis of the stability of a network through dimensional reduction of its influence topology

    CERN Document Server

    Kinkhabwala, Ali

    2013-01-01

    The connection between network topology and stability remains unclear. General approaches that clarify this relationship and allow for more efficient stability analysis would be desirable. In this manuscript, I examine the mathematical notion of influence topology, which is fundamentally based on the network reaction stoichiometries and the first derivatives of the reactions with respect to each species at the steady state solution(s). The influence topology is naturally represented as a signed directed bipartite graph with arrows or blunt arrows connecting a species node to a reaction node (positive/negative derivative) or a reaction node to a species node (positive/negative stoichiometry). The set of all such graphs is denumerable. A significant reduction in dimensionality is possible through stoichiometric scaling, cycle compaction, and temporal scaling. All cycles in a network can be read directly from the graph of its influence topology, enabling efficient and intuitive computation of the principal minor...

  2. Hierarchical models for failure analysis of plates bent by distributed and localized transverse loadings

    Institute of Scientific and Technical Information of China (English)

    Erasmo CARRERA; Gaetano GIUNTA

    2008-01-01

    The failure analysis of simply supported, isotropic, square plates is addressed. Attention focuses on minimum failure load amplitudes and failure locations, von Mises' equivalent stress along the plate thickness is also addressed. Several distributed and localized loading conditions are considered. Loads act on the top of the plate. Bi-sinusoidal and uniform loads are taken into account for distributed loadings, while stepwise constant centric and off-centric loadings are addressed in the case of localized loadings. Analysis is performed considering plates whose length-to-thickness ratio a/h can be as high as 100 (thin plates) and as low as 2 (very thick plates). Results are obtained via several 2D plate models. Classical theories (CTs) and higher order models are applied. Those theories are based on polynomial approximation of the displacement field. Among the higher order theories (HOTs), HOTsd models account for the transverse shear deformations, while HOTs models account for both transverse shear and transverse normal deformations. LHOTs represent a local application of the higher order theories. A layerwise approach is thus assumed: by means of mathematical interfaces, the plate is considered to be made of several fictitious layers. The exact 3D solution is presented in order to determine the accuracy of the results obtained via the 2D models. In this way a hierarchy among the 2D theories is established. CTs provide highly accurate results for a/h greater than 10 in the case of distributed loadings and greater than 20 for localized Ioadings. Results obtained via HOTs are highly accurate in the case of very thick plates for bi-sinusoidal and centric loadings. In the case of uniform and off-centric loadings a high gradient is present in the neighborhood of the plate top. In those cases, LHOTs yield results that match the exact solution.

  3. Working experiences of Iranian retired nurses: a content analysis study.

    Science.gov (United States)

    Nobahar, Monir; Ahmadi, Fazlollah; Alhani, Fatemah; Fallahi Khoshknab, Masood

    2013-10-01

    Understanding the experiences of retired nurses can be useful in increasing self-confidence, motivation to work and work enthusiasm among nurses. The purpose of this study was to explore the work experiences of Iranian retired nurses. A qualitative design was conducted using a content analysis approach. Purposive sampling was used to choose the study participants. Semi-structured interviews were held to collect the perspectives of 20 retired nurses (10 female and 10 male). Two main themes emerged in the data analysis: 'work problems and unpleasant experiences in a sense' with subthemes 'exhausting work', 'insufficient salary', 'inappropriate relation' and 'unsuitable social position'; and 'job satisfaction and pleasant experiences in a sense' with subthemes 'divine satisfaction and religious belief', 'satisfaction of patients and their companions' and 'love of nursing profession and relaxation experience'. The findings indicate the challenges that nurses face after retirement. These experiences will help nurse managers to adopt appropriate measures to support nurses after retirement.

  4. Technique Triangulation for Validation in Directed Content Analysis

    Directory of Open Access Journals (Sweden)

    Áine M. Humble PhD

    2009-09-01

    Full Text Available Division of labor in wedding planning varies for first-time marriages, with three types of couples—traditional, transitional, and egalitarian—identified, but nothing is known about wedding planning for remarrying individuals. Using semistructured interviews, the author interviewed 14 couples in which at least one person had remarried and used directed content analysis to investigate the extent to which the aforementioned typology could be transferred to this different context. In this paper she describes how a triangulation of analytic techniques provided validation for couple classifications and also helped with moving beyond “blind spots” in data analysis. Analytic approaches were the constant comparative technique, rank order comparison, and visual representation of coding, using MAXQDA 2007's tool called TextPortraits.

  5. Sustainability in retailing – a summative content analysis

    DEFF Research Database (Denmark)

    Wiese, Anne; Kellner, Julian; Lietke, Britta

    2012-01-01

    Purpose – This paper aims to analyse past and current sustainability considerations and developments in scientific research and practice with a focus on the role of retailers in supply chains. Design/methodology/approach – A summative content analysis is used to identify major research areas....../value – This paper provides a comprehensive overview of past and current sustainability research in retailing and sustainability relevance in retail practice. The paper considers the specific role of retailers in supply chains through a broad analysis of sustainability considerations in different research areas...... and industrial branches in the sustainability literature relevant to retail supply chains, and sustainability considerations in retail practice. Findings – Sustainability-related issues have been discussed for many years and the term sustainability has received increased attention in research since the mid-1990s...

  6. Discrimination and content analysis of fritillaria using near infrared spectroscopy.

    Science.gov (United States)

    Meng, Yu; Wang, Shisheng; Cai, Rui; Jiang, Bohai; Zhao, Weijie

    2015-01-01

    Fritillaria is a traditional Chinese herbal medicine which can be used to moisten the lungs. The objective of this study is to develop simple, accurate, and solvent-free methods to discriminate and quantify Fritillaria herbs from seven different origins. Near infrared spectroscopy (NIRS) methods are established for the rapid discrimination of seven different Fritillaria samples and quantitative analysis of their total alkaloids. The scaling to first range method and the partial least square (PLS) method are used for the establishment of qualitative and quantitative analysis models. As a result of evaluation for the qualitative NIR model, the selectivity values between groups are always above 2, and the mistaken judgment rate of fifteen samples in prediction sets was zero. This means that the NIR model can be used to distinguish different species of Fritillaria herbs. The established quantitative NIR model can accurately predict the content of total alkaloids from Fritillaria samples.

  7. Requirements for nurse supervisor training: A qualitative content analysis.

    Science.gov (United States)

    Dehghani, Khadijeh; Nasiriani, Khadijeh; Salimi, Tahere

    2016-01-01

    Supervisors should have certain characteristics and adequate preparation for their roles. Yet, there are no well-educated experts knowing about the supervisor's role and responsibilities and how to train them. So, this research was conducted with the purpose of finding the factors affecting nursing supervisor training. This research is an inductive content analysis. Participants were 25 in number, consisting of nurses and supervisors in Shahid Sadoughi University hospitals. The participants were chosen by a purposive sampling method. Data collection was done by semi-structured interviews and reviewing documents. Data were analyzed using conventional content analysis. Findings included two main themes: Firstly, establishment of a supervisory infrastructure that includes "making the appointments and retention of supervisors, clarifying the duties and authority of supervisor, developing supervisory culture, specializing supervision, and conducting practice-based training" and secondly, comprehensive supervisory competencies that include "acquiring scientific, managing, communicative, professional, ethical, pedagogical, and supporting adequacy." Clinical supervisor has a major role in ensuring the quality of nursing care. This leads to improvements in patient care and nurses' personal and professional development. So, it is necessary that for effective supervision in nursing, first an infrastructure is provided for supervision and then the comprehensive competency of a supervisor is enhanced to apply effective supervision.

  8. Association Analysis of the Amino Acid Contents in Rice

    Institute of Scientific and Technical Information of China (English)

    Weiguo Zhao; Eun-Jin Park; Jong-Wook Chung; Yong-Jin Park; III-Min Chung; Joung-Kuk Ahn; Gwang-Ho Kim

    2009-01-01

    The main objective of the present study was to identify simple sequence repeat (SSR) markers associated with the amino acid content of rice (Oryza sativa L.). SSR markers were selected by prescreening for the relationship to amino acid content. Eighty-four rice landrace accessions from Korea were evaluated for 16 kinds of amino acids in brown rice and genotyped with 25 SSR markers. Analysis of population structure revealed four subgroups in the population. Linkage disequilibrium (LD) patterns and distributions are of fundamental importance for genome-wide mapping associations. The mean r2 value for all intrachromosomal loci pairs was 0.033. LD between linked markers decreased with distance. Marker-trait associations were investigated using the unified mixed-model approach, considering both population structure (Q) and kinship (K). A total of 42 marker-trait associations with amino acids (P < 0.05) were identified using 15 different SSR markers covering three chromosomes and explaining more than 40% of the total variation. These results suggest that association analysis In rice is a viable alternative to quantitative trait loci mapping and should help rice breeders develop strategies for improving rice quality.

  9. Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.

    Science.gov (United States)

    Salimi-Khorshidi, Gholamreza; Douaud, Gwenaëlle; Beckmann, Christian F; Glasser, Matthew F; Griffanti, Ludovica; Smith, Stephen M

    2014-04-15

    Many sources of fluctuation contribute to the fMRI signal, and this makes identifying the effects that are truly related to the underlying neuronal activity difficult. Independent component analysis (ICA) - one of the most widely used techniques for the exploratory analysis of fMRI data - has shown to be a powerful technique in identifying various sources of neuronally-related and artefactual fluctuation in fMRI data (both with the application of external stimuli and with the subject "at rest"). ICA decomposes fMRI data into patterns of activity (a set of spatial maps and their corresponding time series) that are statistically independent and add linearly to explain voxel-wise time series. Given the set of ICA components, if the components representing "signal" (brain activity) can be distinguished form the "noise" components (effects of motion, non-neuronal physiology, scanner artefacts and other nuisance sources), the latter can then be removed from the data, providing an effective cleanup of structured noise. Manual classification of components is labour intensive and requires expertise; hence, a fully automatic noise detection algorithm that can reliably detect various types of noise sources (in both task and resting fMRI) is desirable. In this paper, we introduce FIX ("FMRIB's ICA-based X-noiseifier"), which provides an automatic solution for denoising fMRI data via accurate classification of ICA components. For each ICA component FIX generates a large number of distinct spatial and temporal features, each describing a different aspect of the data (e.g., what proportion of temporal fluctuations are at high frequencies). The set of features is then fed into a multi-level classifier (built around several different classifiers). Once trained through the hand-classification of a sufficient number of training datasets, the classifier can then automatically classify new datasets. The noise components can then be subtracted from (or regressed out of) the original

  10. Hierarchical Multiple Regression in Counseling Research: Common Problems and Possible Remedies.

    Science.gov (United States)

    Petrocelli, John V.

    2003-01-01

    A brief content analysis was conducted on the use of hierarchical regression in counseling research published in the "Journal of Counseling Psychology" and the "Journal of Counseling & Development" during the years 1997-2001. Common problems are cited and possible remedies are described. (Contains 43 references and 3 tables.) (Author)

  11. QTL Analysis of the Oil Content and the Hull Content in Brassica napus L.

    Institute of Scientific and Technical Information of China (English)

    JIN Meng-yang; LI Jia-na; FU Fu-you; ZHANG Zheng-sheng; ZHANG Xue-kun; LIU Lie-zhao

    2007-01-01

    The QTLs of the oil content and the hull content were analyzed in Brassica napus L. By constructing the linkage map. The F2:6 RIL population with 188 lines, derived from the cross of GH06 × P147, was used as the mapping population. The SRAP, SSR, AFLP, and TRAP markers were used to construct the linkage map, and the composite interval mapping (CIM) to identify the quantitative trait loci associated with the oil content and the hull content. 300 markers were integrated into 19 linkage groups, covering 1 248.5 cM in total. Seven QTLs were found to be responsible for the oil content with the single contribution to phenotypic variance ranging from 3.73 to 10.46%; four QTLs were found for the hull content with the single contribution to phenotypic variance ranging from 4.89 to 6.84%. The yellow-seeded Brassica napus L. Has the advantage of higher oil content and the hull content has a significant effect on the oil content. In addition, the SRAP marker is good for detecting QTL.

  12. Hierarchical Network Design

    DEFF Research Database (Denmark)

    Thomadsen, Tommy

    2005-01-01

    of different types of hierarchical networks. This is supplemented by a review of ring network design problems and a presentation of a model allowing for modeling most hierarchical networks. We use methods based on linear programming to design the hierarchical networks. Thus, a brief introduction to the various....... The thesis investigates models for hierarchical network design and methods used to design such networks. In addition, ring network design is considered, since ring networks commonly appear in the design of hierarchical networks. The thesis introduces hierarchical networks, including a classification scheme...... linear programming based methods is included. The thesis is thus suitable as a foundation for study of design of hierarchical networks. The major contribution of the thesis consists of seven papers which are included in the appendix. The papers address hierarchical network design and/or ring network...

  13. "Fitspiration" on Social Media: A Content Analysis of Gendered Images.

    Science.gov (United States)

    Carrotte, Elise Rose; Prichard, Ivanka; Lim, Megan Su Cheng

    2017-03-29

    "Fitspiration" (also known as "fitspo") aims to inspire individuals to exercise and be healthy, but emerging research indicates exposure can negatively impact female body image. Fitspiration is frequently accessed on social media; however, it is currently unclear the degree to which messages about body image and exercise differ by gender of the subject. The aim of our study was to conduct a content analysis to identify the characteristics of fitspiration content posted across social media and whether this differs according to subject gender. Content tagged with #fitspo across Instagram, Facebook, Twitter, and Tumblr was extracted over a composite 30-minute period. All posts were analyzed by 2 independent coders according to a codebook. Of the 415/476 (87.2%) relevant posts extracted, most posts were on Instagram (360/415, 86.8%). Most posts (308/415, 74.2%) related thematically to exercise, and 81/415 (19.6%) related thematically to food. In total, 151 (36.4%) posts depicted only female subjects and 114/415 (27.5%) depicted only male subjects. Female subjects were typically thin but toned; male subjects were often muscular or hypermuscular. Within the images, female subjects were significantly more likely to be aged under 25 years (Pbody visible (P=.001), and to have their buttocks emphasized (Pfemale subjects. Female subjects were more likely to be sexualized than the male subjects (P=.002). Female #fitspo subjects typically adhered to the thin or athletic ideal, and male subjects typically adhered to the muscular ideal. Future research and interventional efforts should consider the potential objectifying messages in fitspiration, as it relates to both female and male body image.

  14. Analysis of the influence of memory content of auditory stimuli on the memory content of EEG signal.

    Science.gov (United States)

    Namazi, Hamidreza; Khosrowabadi, Reza; Hussaini, Jamal; Habibi, Shaghayegh; Farid, Ali Akhavan; Kulish, Vladimir V

    2016-08-30

    One of the major challenges in brain research is to relate the structural features of the auditory stimulus to structural features of Electroencephalogram (EEG) signal. Memory content is an important feature of EEG signal and accordingly the brain. On the other hand, the memory content can also be considered in case of stimulus. Beside all works done on analysis of the effect of stimuli on human EEG and brain memory, no work discussed about the stimulus memory and also the relationship that may exist between the memory content of stimulus and the memory content of EEG signal. For this purpose we consider the Hurst exponent as the measure of memory. This study reveals the plasticity of human EEG signals in relation to the auditory stimuli. For the first time we demonstrated that the memory content of an EEG signal shifts towards the memory content of the auditory stimulus used. The results of this analysis showed that an auditory stimulus with higher memory content causes a larger increment in the memory content of an EEG signal. For the verification of this result, we benefit from approximate entropy as indicator of time series randomness. The capability, observed in this research, can be further investigated in relation to human memory.

  15. Highlight detection for video content analysis through double filters

    Science.gov (United States)

    Sun, Zhonghua; Chen, Hexin; Chen, Mianshu

    2005-07-01

    Highlight detection is a form of video summarization techniques aiming at including the most expressive or attracting parts in the video. Most video highlights selection research work has been performed on sports video, detecting certain objects or events such as goals in soccer video, touch down in football and others. In this paper, we present a highlight detection method for film video. Highlight section in a film video is not like that in sports video that usually has certain objects or events. The methods to determine a highlight part in a film video can exhibit as three aspects: (a) locating obvious audio event, (b) detecting expressive visual content around the obvious audio location, (c) selecting the preferred portion of the extracted audio-visual highlight segments. We define a double filters model to detect the potential highlights in video. First obvious audio location is determined through filtering the obvious audio features, and then we perform the potential visual salience detection around the potential audio highlight location. Finally the production from the audio-visual double filters is compared with a preference threshold to determine the final highlights. The user study results indicate that the double filters detection approach is an effective method for highlight detection for video content analysis.

  16. Blog Content and User Engagement - An Insight Using Statistical Analysis.

    Directory of Open Access Journals (Sweden)

    Apoorva Vikrant Kulkarni

    2013-06-01

    Full Text Available Since the past few years organizations have increasingly realized the value of social media in positioning, propagating and marketing the product/service and organization itself. Today every organization be it small or big has realized the essence of creating a space in the World Wide Web. Social Media through its multifaceted platforms has enabled the organizations to propagate their brands. There are a number of social media networks which are helpful in spreading the message to customers. Many organizations are having full time web analytics teams that are regularly trying to ensure that prospectivecustomers are visiting their organization through various forms of social media. Web analytics is foreseen as a tool for Business Intelligence by organizations and there are a large number of analytics tools available for monitoring the visibility of a particular brand on the web. For example, Google has its ownanalytic tool that is very widely used. There are number of free as well as paid analytical tools available on the internet. The objective of this paper is to study what content in a blog present in the social media creates a greater impact on user engagement. The study statistically analyzes the relation between content of the blog and user engagement. The statistical analysis was carried out on a blog of a reputed management institute in Pune to arrive at conclusions.

  17. [Content analysis of food adverts aimed at children].

    Science.gov (United States)

    Ponce-Blandón, José Antonio; Pabón-Carrasco, Manuel; Lomas-Campos, María de Las Mercedes

    To determine the contents and persuasive techniques used in processed food adverts aimed at children in Andalusia, comparing them with those aimed at adults. Study based on advert content analysis with two phases: a descriptive design phase and an analytical observational design phase. A sample of adverts from 60hours of broadcasting from the two most watched television channels in Andalusia. A total of 416 food and non-alcoholic beverage adverts were obtained, for 91 different products. Approximately 42.9% (n=39) was aimed at children and 53.8% (n=49) were products classified as "unhealthy". Unhealthy foods were more common in adverts for children (p <0.001). Significant differences were found between the ads aimed at adults and those aimed at children. Emotional and irrational persuasive resources such as fantasy (p <0.001), cartoons (p <0.001) or offering gifts with the purchase of the product (p=0.003) were observed more frequently in adverts for children. Food advertising aimed at children in Andalusia is mainly based on offering products with a low nutritional value and using persuasive resources based on fantasy or gifts. The message is focused on the incentive and not the food. More effective measures than the current self-regulatory systems must be put in place to counter these distorted adverts. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  18. Analysis of fatty acid content and composition in microalgae.

    Science.gov (United States)

    Breuer, Guido; Evers, Wendy A C; de Vree, Jeroen H; Kleinegris, Dorinde M M; Martens, Dirk E; Wijffels, René H; Lamers, Packo P

    2013-10-01

    A method to determine the content and composition of total fatty acids present in microalgae is described. Fatty acids are a major constituent of microalgal biomass. These fatty acids can be present in different acyl-lipid classes. Especially the fatty acids present in triacylglycerol (TAG) are of commercial interest, because they can be used for production of transportation fuels, bulk chemicals, nutraceuticals (ω-3 fatty acids), and food commodities. To develop commercial applications, reliable analytical methods for quantification of fatty acid content and composition are needed. Microalgae are single cells surrounded by a rigid cell wall. A fatty acid analysis method should provide sufficient cell disruption to liberate all acyl lipids and the extraction procedure used should be able to extract all acyl lipid classes. With the method presented here all fatty acids present in microalgae can be accurately and reproducibly identified and quantified using small amounts of sample (5 mg) independent of their chain length, degree of unsaturation, or the lipid class they are part of. This method does not provide information about the relative abundance of different lipid classes, but can be extended to separate lipid classes from each other. The method is based on a sequence of mechanical cell disruption, solvent based lipid extraction, transesterification of fatty acids to fatty acid methyl esters (FAMEs), and quantification and identification of FAMEs using gas chromatography (GC-FID). A TAG internal standard (tripentadecanoin) is added prior to the analytical procedure to correct for losses during extraction and incomplete transesterification.

  19. Hierarchical Multiagent Reinforcement Learning

    Science.gov (United States)

    2004-01-25

    In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multiagent tasks. We...introduce a hierarchical multiagent reinforcement learning (RL) framework and propose a hierarchical multiagent RL algorithm called Cooperative HRL. In

  20. Design Issues and Information Contents of the Provincial Government Websites of Indonesia: A Content Analysis on Visual Messages

    Directory of Open Access Journals (Sweden)

    Achmad Syarief

    2009-07-01

    Full Text Available A website is not just merely act as an object of displaying information, but it also represents a contextual medium of communication through visuals and contents. The interplay of website design elements builds up meanings that affect users beyond what previous communication practices have uncovered. Previous research acknowledges that visuals and contents have significant effects in attracting users’ attention and trust. Thus, the ability of a website to provide credible information through visuals and contents to target users is therefore plays great importance in the success of a website. However, although a considerable number of researches on website design have been performed, study in understanding the characteristics of site’s visual appearances and information contents for the purpose of promoting local investment in Indonesia has been very limited. This paper addresses visual design issues and information contents of eighteen provincial government websites of Indonesia. Through content analysis, the paper comparatively examines visual appearances, information contents, and functions of each website, in order to determine visual characteristics and contents that suit the purpose of promoting local potencies. The paper focuses on commonality, discrepancy, and pattern of contents, provide suggestions to improve the use of provincial government website design of Indonesia.

  1. 论生态取向教师学习内容的层级设计%On the Hierarchical Design of Teachers' Learning Content of Ecological Orientation

    Institute of Scientific and Technical Information of China (English)

    肖正德

    2011-01-01

    根据生态位原理,生态取向教师学习内容的层级设计是满足不同类别、不同层级教师需求的多样性设计,是促使教师学习、工作与生活融合一体的持续性设计,是促使教师同伴互助共生发展的互动性设计,是源于教师生命发展需要、提升教师幸福感的生命化设计。生态取向的教师学习应该以教师发展的层级理论为依据,视其发展层级,为其可持续发展设计层级学习内容框架。%According to the niche theory, the hierarehical design of teachers' learning content of ecological orientation is the diverse design to meet the needs of different classes and levels of teachers, which is not only the sustainahle design to promote the integration of teachers' learning, work and life, the interactive design to promote common development of the teachers of mutual companion, hut also the life design resulted from the needs of the intergrowth of teachers' development and the enhancement of teachers' sense of happiness. Teachers' learning of ecological orientation should be based on the theory of the hierarchy of teachers' development, and the framework of the level of learning contents should be designed according to the level of teachers' development, and catered for the teachers' sustainable development.

  2. Cytometric analysis of shape and DNA content in mammalian sperm

    Energy Technology Data Exchange (ETDEWEB)

    Gledhill, B.L.

    1983-10-10

    Male germ cells respond dramatically to a variety of insults and are important reproductive dosimeters. Semen analyses are very useful in studies on the effects of drugs, chemicals, and environmental hazards on testicular function, male fertility and heritable germinal mutations. Sperm were analyzed by flow cytometry and slit-scan flow analysis for injury following the exposure of testes to mutagens. The utility of flow cytometry in genotoxin screening and monitoring of occupational exposure was evaluated. The technique proved valuable in separation of X- and Y-chromosome bearing sperm and the potential applicability of this technique in artificial insemination and a solution, of accurately assessing the DNA content of sperm were evaluated-with reference to determination of X- and Y-chromosome bearing sperm.

  3. Adolescent suicide in Ghana: A content analysis of media reports

    Directory of Open Access Journals (Sweden)

    Emmanuel Nii-Boye Quarshie

    2015-05-01

    Full Text Available Adolescent suicide is now a major health concern for many countries. However, there is paucity of systematic studies and lack of official statistics on adolescent suicide in Ghana. Mass media coverage of adolescent suicide (even though crude, at least, may reflect the reality of the phenomenon. With an ecological orientation, this study used qualitative content analysis to analyse the pattern of 44 media reports of adolescent suicide in Ghana from January 2001 through September 2014. Results showed that hanging was the dominant method used. The behaviour usually takes place within or near the adolescent's home environment. The act was often attributed to precursors within the microsystem (family and school of the deceased. This study serves a seminal function for future empirical studies aimed at deeper examination of the phenomenon in order to inform prevention programmes.

  4. A Content Analysis of Australian IS Early Career Job Advertisements

    Directory of Open Access Journals (Sweden)

    Mary Anne Kennan

    2008-05-01

    Full Text Available The purpose of this paper is to develop an understanding of the knowledge, skills and competencies demanded of early career information systems graduates in Australia. Job advertisements from 2006 were collected and investigated using content analysis software to determine the frequencies and patterns of occurrence of specific requirements. There was a high demand for technical knowledge and competencies as well as communication skills. A core cluster of IS knowledge and skills emerged which appear to be in demand across a wide variety of jobs. Issues raised include the role of entry level positions in the preparation of their incumbents for future more senior positions. The findings add an Australian perspective to the literature on information systems job ads and should be of value to educators.

  5. Collection, Analysis, and Monitoring of Social Media Content

    DEFF Research Database (Denmark)

    Lashari, Intzar Ali

    developed measure to quantify from the data based on sentiment analysis and network relation. The proposed methods have been implemented as software tools to provide features for the collection, monitoring, and processing of social media content. In this thesis, our focus was on You-Tube and twitter......Social network sites are currently booming with their popularity and usage of the users all around the globe. There are so many on-line networking sites which currently allowing all users to create their respective profile and creating a connection with their own involvement and preparing their own...... preferred network so that they can participate in their exciting information. The data they exchange that could be based on opinion, observation, or comment on already posted material or they might upload their photo, videos and etc. The exciting perspective of the users on the social network...

  6. Identifying Sources of Difference in Reliability in Content Analysis

    Directory of Open Access Journals (Sweden)

    Elizabeth Murphy

    2005-07-01

    Full Text Available This paper reports on a case study which identifies and illustrates sources of difference in agreement in relation to reliability in a context of quantitative content analysis of a transcript of an online asynchronous discussion (OAD. Transcripts of 10 students in a month-long online asynchronous discussion were coded by two coders using an instrument with two categories, five processes, and 19 indicators of Problem Formulation and Resolution (PFR. Sources of difference were identified in relation to: coders; tasks; and students. Reliability values were calculated at the levels of categories, processes, and indicators. At the most detailed level of coding on the basis of the indicator, findings revealed that the overall level of reliability between coders was .591 when measured with Cohen’s kappa. The difference between tasks at the same level ranged from .349 to .664, and the difference between participants ranged from .390 to .907. Implications for training and research are discussed.

  7. Web Pages Content Analysis Using Browser-Based Volunteer Computing

    Directory of Open Access Journals (Sweden)

    Wojciech Turek

    2013-01-01

    Full Text Available Existing solutions to the problem of finding valuable information on the Websuffers from several limitations like simplified query languages, out-of-date in-formation or arbitrary results sorting. In this paper a different approach to thisproblem is described. It is based on the idea of distributed processing of Webpages content. To provide sufficient performance, the idea of browser-basedvolunteer computing is utilized, which requires the implementation of text pro-cessing algorithms in JavaScript. In this paper the architecture of Web pagescontent analysis system is presented, details concerning the implementation ofthe system and the text processing algorithms are described and test resultsare provided.

  8. ANALYSIS OF THE PHTHALATE CONTENT LEVELS IN WINE PRODUCTS

    Directory of Open Access Journals (Sweden)

    Duca Gheorghe

    2011-12-01

    Full Text Available In the context of studies conducted in the laboratory of National Center for Quality Testing of the Alcoholic Beverages (Republic of Moldova were included more than 1300 samples of the bottled wine and base-wine for the presence of most widespread and toxic phthalate – dibutylphthalate using modern method of analysis like GC-MS. Results display presences DBP in 85 % of studied samples of wines, i.e. a content of DBP more than LOQ (0.01mg/dm3. Has been determined that contamination of phthalates has a technogenic character, and it is the result of contact with polymeric materials. Optimum conditions of extraction DBP from liquid samples were obtained.

  9. Ordinary chondrites - Multivariate statistical analysis of trace element contents

    Science.gov (United States)

    Lipschutz, Michael E.; Samuels, Stephen M.

    1991-01-01

    The contents of mobile trace elements (Co, Au, Sb, Ga, Se, Rb, Cs, Te, Bi, Ag, In, Tl, Zn, and Cd) in Antarctic and non-Antarctic populations of H4-6 and L4-6 chondrites, were compared using standard multivariate discriminant functions borrowed from linear discriminant analysis and logistic regression. A nonstandard randomization-simulation method was developed, making it possible to carry out probability assignments on a distribution-free basis. Compositional differences were found both between the Antarctic and non-Antarctic H4-6 chondrite populations and between two L4-6 chondrite populations. It is shown that, for various types of meteorites (in particular, for the H4-6 chondrites), the Antarctic/non-Antarctic compositional difference is due to preterrestrial differences in the genesis of their parent materials.

  10. High-content analysis for drug delivery and nanoparticle applications.

    Science.gov (United States)

    Brayden, David J; Cryan, Sally-Ann; Dawson, Kenneth A; O'Brien, Peter J; Simpson, Jeremy C

    2015-08-01

    High-content analysis (HCA) provides quantitative multiparametric cellular fluorescence data. From its origins in discovery toxicology, it is now addressing fundamental questions in drug delivery. Nanoparticles (NPs), polymers, and intestinal permeation enhancers are being harnessed in drug delivery systems to modulate plasma membrane properties and the intracellular environment. Identifying comparative mechanistic cytotoxicity on sublethal events is crucial to expedite the development of such systems. NP uptake and intracellular routing pathways are also being dissected using chemical and genetic perturbations, with the potential to assess the intracellular fate of targeted and untargeted particles in vitro. As we discuss here, HCA is set to make a major impact in preclinical delivery research by elucidating the intracellular pathways of NPs and the in vitro mechanistic-based toxicology of formulation constituents.

  11. Social Influence on Information Technology Adoption and Sustained Use in Healthcare: A Hierarchical Bayesian Learning Method Analysis

    Science.gov (United States)

    Hao, Haijing

    2013-01-01

    Information technology adoption and diffusion is currently a significant challenge in the healthcare delivery setting. This thesis includes three papers that explore social influence on information technology adoption and sustained use in the healthcare delivery environment using conventional regression models and novel hierarchical Bayesian…

  12. Hierarchical topic modeling with nested hierarchical Dirichlet process

    Institute of Scientific and Technical Information of China (English)

    Yi-qun DING; Shan-ping LI; Zhen ZHANG; Bin SHEN

    2009-01-01

    This paper deals with the statistical modeling of latent topic hierarchies in text corpora. The height of the topic tree is assumed as fixed, while the number of topics on each level as unknown a priori and to be inferred from data. Taking a nonparametric Bayesian approach to this problem, we propose a new probabilistic generative model based on the nested hierarchical Dirichlet process (nHDP) and present a Markov chain Monte Carlo sampling algorithm for the inference of the topic tree structure as welt as the word distribution of each topic and topic distribution of each document. Our theoretical analysis and experiment results show that this model can produce a more compact hierarchical topic structure and captures more free-grained topic relationships compared to the hierarchical latent Dirichlet allocation model.

  13. Thermodynamic analysis of the effect of the hierarchical architecture of a superhydrophobic surface on a condensed drop state.

    Science.gov (United States)

    Liu, Tianqing; Sun, Wei; Sun, Xiangyu; Ai, Hongru

    2010-09-21

    Condensed drops usually display a Wenzel state on a superhydrophobic surface (SHS) only with microrough architecture, while Cassie drops easily appear on a surface with micro-nano hierarchical roughness. The mechanism of this is not very clear. It is important to understand how the hierarchical structure affects the states of condensation drops so that a good SHS can be designed to achieve the highly efficient dropwise condensation. In this study, the interface free energy (IFE) of a local condensate, which comes from the growth and combination of numerous initial condensation nuclei, was calculated during its shape changes from the early flat shape to a Wenzel or Cassie state. The final state of a condensed drop was determined by whether the IFE continuously decreased or a minimum value existed. The calculation results indicate that the condensation drops on the surface only with microroughness display a Wenzel state because the IFE curve of a condensed drop first decreases and then increases, existing at a minimum value corresponding to a Wenzel drop. On a surface with proper hierarchical roughness, however, the interface energy curve of a condensed drop will continuously decline until reaching a Cassie state. Therefore, a condensed drop on a hierarchical roughness surface can spontaneously change into a Cassie state. Besides, the states and apparent contact angles of condensed drops on a SHS with different structural parameters published in the literature were calculated and compared with experimental observations. The results show that the calculated condensed drop states are well-coordinated with experimental clarifications. We can conclude that micro-nano hierarchical roughness is the key structural factor for sustaining condensed drops in a Cassie state on a SHS.

  14. Hierarchical cluster analysis of labour market regulations and population health: a taxonomy of low- and middle-income countries

    Directory of Open Access Journals (Sweden)

    Muntaner Carles

    2012-04-01

    Full Text Available Abstract Background An important contribution of the social determinants of health perspective has been to inquire about non-medical determinants of population health. Among these, labour market regulations are of vital significance. In this study, we investigate the labour market regulations among low- and middle-income countries (LMICs and propose a labour market taxonomy to further understand population health in a global context. Methods Using Gross National Product per capita, we classify 113 countries into either low-income (n = 71 or middle-income (n = 42 strata. Principal component analysis of three standardized indicators of labour market inequality and poverty is used to construct 2 factor scores. Factor score reliability is evaluated with Cronbach's alpha. Using these scores, we conduct a hierarchical cluster analysis to produce a labour market taxonomy, conduct zero-order correlations, and create box plots to test their associations with adult mortality, healthy life expectancy, infant mortality, maternal mortality, neonatal mortality, under-5 mortality, and years of life lost to communicable and non-communicable diseases. Labour market and health data are retrieved from the International Labour Organization's Key Indicators of Labour Markets and World Health Organization's Statistical Information System. Results Six labour market clusters emerged: Residual (n = 16, Emerging (n = 16, Informal (n = 10, Post-Communist (n = 18, Less Successful Informal (n = 22, and Insecure (n = 31. Primary findings indicate: (i labour market poverty and population health is correlated in both LMICs; (ii association between labour market inequality and health indicators is significant only in low-income countries; (iii Emerging (e.g., East Asian and Eastern European countries and Insecure (e.g., sub-Saharan African nations clusters are the most advantaged and disadvantaged, respectively, with the remaining clusters experiencing levels of population

  15. When to Use Hierarchical Linear Modeling

    National Research Council Canada - National Science Library

    Veronika Huta

    2014-01-01

    Previous publications on hierarchical linear modeling (HLM) have provided guidance on how to perform the analysis, yet there is relatively little information on two questions that arise even before analysis...

  16. Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study.

    Science.gov (United States)

    Vaismoradi, Mojtaba; Turunen, Hannele; Bondas, Terese

    2013-09-01

    Qualitative content analysis and thematic analysis are two commonly used approaches in data analysis of nursing research, but boundaries between the two have not been clearly specified. In other words, they are being used interchangeably and it seems difficult for the researcher to choose between them. In this respect, this paper describes and discusses the boundaries between qualitative content analysis and thematic analysis and presents implications to improve the consistency between the purpose of related studies and the method of data analyses. This is a discussion paper, comprising an analytical overview and discussion of the definitions, aims, philosophical background, data gathering, and analysis of content analysis and thematic analysis, and addressing their methodological subtleties. It is concluded that in spite of many similarities between the approaches, including cutting across data and searching for patterns and themes, their main difference lies in the opportunity for quantification of data. It means that measuring the frequency of different categories and themes is possible in content analysis with caution as a proxy for significance. © 2013 Wiley Publishing Asia Pty Ltd.

  17. Hierarchical Network Design

    DEFF Research Database (Denmark)

    Thomadsen, Tommy

    2005-01-01

    Communication networks are immensely important today, since both companies and individuals use numerous services that rely on them. This thesis considers the design of hierarchical (communication) networks. Hierarchical networks consist of layers of networks and are well-suited for coping...... the clusters. The design of hierarchical networks involves clustering of nodes, hub selection, and network design, i.e. selection of links and routing of ows. Hierarchical networks have been in use for decades, but integrated design of these networks has only been considered for very special types of networks....... The thesis investigates models for hierarchical network design and methods used to design such networks. In addition, ring network design is considered, since ring networks commonly appear in the design of hierarchical networks. The thesis introduces hierarchical networks, including a classification scheme...

  18. Deliberate change without hierarchical influence?

    DEFF Research Database (Denmark)

    Nørskov, Sladjana; Kesting, Peter; Ulhøi, John Parm

    2017-01-01

    Purpose This paper aims to present that deliberate change is strongly associated with formal structures and top-down influence. Hierarchical configurations have been used to structure processes, overcome resistance and get things done. But is deliberate change also possible without formal...... reveals that deliberate change is indeed achievable in a non-hierarchical collaborative OSS community context. However, it presupposes the presence and active involvement of informal change agents. The paper identifies and specifies four key drivers for change agents’ influence. Originality....../value The findings contribute to organisational analysis by providing a deeper understanding of the importance of leadership in making deliberate change possible in non-hierarchical settings. It points to the importance of “change-by-conviction”, essentially based on voluntary behaviour. This can open the door...

  19. The TURKISH JOURNAL ON ONLINE EDUCATION: A Content Analysis

    Directory of Open Access Journals (Sweden)

    Colin LATCHEM

    2009-07-01

    Full Text Available As the “Turkish Online Journal of Distance Education” approaches its tenth year, it seemed appropriate to assess to what extent its original goals had been achieved by conducting a content analysis of the Notes for Editors[1] and articles in the issues of appearing between January 2000 and October 2008. The analysis involved determining the articles’ countries of origin, sectors represented, and focus and frequency of the topics covered. It was found that the majority of articles were from Asian countries, with Turkey providing the greatest number of contributions. There were also many papers from the Middle East, Africa, South America, USA, Eastern and Western Europe, and Australia. These articles covered a very wide range of topics and while the quality varied, there has been a appreciable improvement in the research and reporting since the journal’s inception. Some of the papers, presenting non-Western perspectives, are particularly illuminating. The earlier articles tended to be descriptive or theoretical, but the more recent papers have been quantitative-experimental and qualitative-descriptive studies into distance education and e-learning needs, policies, procedures, practices and outcomes. Overall, the papers reveal a greater concern for teaching and learning than the technology per se. Some conclusions were drawn on the achievements of TOJDE and some possible future directions for the journal.

  20. Reading Content Knowledge: What Do Teachers Need to Know and How Can We Assess Their Knowledge?

    Science.gov (United States)

    Lilienthal, Linda K.

    2008-01-01

    The purpose of this study was to investigate preservice teachers' reading content knowledge, to develop a definition of reading, and to develop an informal test of teachers' reading content knowledge. A content analysis of two contemporary reading textbooks used in university reading courses was the source of a six-tier, hierarchical definition of…

  1. A content analysis of food advertisements appearing in parenting magazines.

    Science.gov (United States)

    Manganello, Jennifer A; Clegg Smith, Katherine; Sudakow, Katie; Summers, Amber C

    2013-12-01

    Childhood obesity is a growing problem in the USA. As parents play a major role in shaping a child's diet, the present study examines food advertisements (ads) directed towards parents in parenting and family magazines. Given the potential for magazines to influence attitudes and knowledge, we used content analysis to examine the food ads appearing in four issues each of six different parenting and family magazines from 2008 (n 24). USA. Food ads in parenting and family magazines. We identified 476 food ads, which represented approximately 32 % of all ads in the magazine sample. Snack foods (13 %) were the most frequently observed food ads, followed by dairy products (7 %). The most frequently used sales theme was ‘taste’ (55 %). Some ads promoted foods as ‘healthy’ (14 %) and some made specific health claims (18 %), such as asserting the product would help lower cholesterol. In addition to taste and health and nutrition appeals, we found several themes used in ad messages to promote products, including the following: ‘convenience’, ‘economical’, ‘fun’ and ‘helping families spend time together’. We also found that over half (n 405, 55·9 %) of products (n 725) advertised were products of poor nutritional quality based on total fat, saturated fat, sodium, protein, sugar and fibre contents, and that ads for such products were slightly more likely to use certain sales themes like ‘fun’ (P = 0·04) and ‘no guilt’ (P = 0·03). Interventions should be developed to help parents understand nutritional information seen in food ads and to learn how various foods contribute to providing a balanced family diet.

  2. Quantitative and Chemical Fingerprint Analysis for the Quality Evaluation of Receptaculum Nelumbinis by RP-HPLC Coupled with Hierarchical Clustering Analysis

    Directory of Open Access Journals (Sweden)

    Jin-Zhong Wu

    2013-01-01

    Full Text Available A simple and reliable method of high-performance liquid chromatography with photodiode array detection (HPLC-DAD was developed to evaluate the quality of Receptaculum Nelumbinis (dried receptacle of Nelumbo nucifera through establishing chromatographic fingerprint and simultaneous determination of five flavonol glycosides, including hyperoside, isoquercitrin, quercetin-3-O-β-d-glucuronide, isorhamnetin-3-O-β-d-galactoside and syringetin-3-O-β-d-glucoside. In quantitative analysis, the five components showed good regression (R > 0.9998 within linear ranges, and their recoveries were in the range of 98.31%–100.32%. In the chromatographic fingerprint, twelve peaks were selected as the characteristic peaks to assess the similarities of different samples collected from different origins in China according to the State Food and Drug Administration (SFDA requirements. Furthermore, hierarchical cluster analysis (HCA was also applied to evaluate the variation of chemical components among different sources of Receptaculum Nelumbinis in China. This study indicated that the combination of quantitative and chromatographic fingerprint analysis can be readily utilized as a quality control method for Receptaculum Nelumbinis and its related traditional Chinese medicinal preparations.

  3. A static analysis of three-dimensional functionally graded beams through hierarchical one-dimensional finite elements

    Energy Technology Data Exchange (ETDEWEB)

    Giunta, G.; Belouettar, S. [Centre de Recherche Public Henri Tudor, 29, av. John F. Kennedy, L-1855, Luxembourg-Kirchberg, Luxembourg (Belgium)

    2015-03-10

    In this paper, the static response of three-dimensional beams made of functionally graded materials is investigated through a family of hierarchical one-dimensional finite elements. A wide variety of elements is proposed differing by the kinematic formulation and the number of nodes per elements along the beam axis. Elements’ stiffness matrix and load vector are derived in a unified nuclear form that does not depend upon the a priori expansion order over the cross-section nor the finite element approximation along the beam axis. Results are validated towards three-dimensional finite element models as well as equivalent Navier-type analytical solutions. The numerical investigations show that accurate and efficient solutions (when compared with full three-dimensional FEM solutions) can be obtained by the proposed family of hierarchical one-dimensional elements’ family.

  4. Violence and weapon carrying in music videos. A content analysis.

    Science.gov (United States)

    DuRant, R H; Rich, M; Emans, S J; Rome, E S; Allred, E; Woods, E R

    1997-05-01

    The positive portrayal of violence and weapon carrying in televised music videos is thought to have a considerable influence on the normative expectations of adolescents about these behaviors. To perform a content analysis of the depictions of violence and weapon carrying in music videos, including 5 genres of music (rock, rap, adult contemporary, rhythm and blues, and country), from 4 television networks and to analyze the degree of sexuality or eroticism portrayed in each video and its association with violence and weapon carrying, as an indicator of the desirability of violent behaviors. Five hundred eighteen videos were recorded during randomly selected days and times of the day from the Music Television, Video Hits One, Black Entertainment Television, and Country Music Television networks. Four female and 4 male observers aged 17 to 24 years were trained to use a standardized content analysis instrument. Interobserver reliability testing resulted in a mean (+/- SD) percentage agreement of 89.25% +/- 7.10% and a mean (+/- SD) kappa of 0.73 +/- 0.20. All videos were observed by rotating 2-person, male-female teams that were required to reach agreement on each behavior that was scored. Music genre and network differences in behaviors were analyzed with chi 2 tests. A higher percentage (22.4%) of Music Television videos portrayed overt violence than Video Hits One (11.8%), Country Music Television (11.8%), and Black Entertainment Television (11.5%) videos (P = .02). Rap (20.4%) had the highest portrayal of violence, followed by rock (19.8%), country (10.8%), adult contemporary (9.7%), and rhythm and blues (5.9%) (P = .006). Weapon carrying was higher on Music Television (25.0%) than on Black Entertainment Television (11.5%), Video Hits One (8.4%), and Country Music Television (6.9%) (P rhythm and blues (6.9%), and country (6.3%) videos (P = .002). The videos with the highest level of sexuality or eroticism were found to be less likely to contain violence (P < or

  5. Analysis of acoustic cardiac signals for heart rate variability and murmur detection using nonnegative matrix factorization-based hierarchical decomposition

    DEFF Research Database (Denmark)

    Shah, Ghafoor; Koch, Peter; Papadias, Constantinos B.

    2014-01-01

    . A novel method based on hierarchical decomposition of the single channel mixture using various nonnegative matrix factorization techniques is proposed, which provides unsupervised clustering of the underlying component signals. HRV is determined over the recovered normal cardiac acoustic signals....... This novel decomposition technique is compared against the state-of-the-art techniques; experiments are performed using real-world clinical data, which show the potential significance of the proposed technique....

  6. Assessment of Differential Item Functioning in Health-Related Outcomes: A Simulation and Empirical Analysis with Hierarchical Polytomous Data

    Directory of Open Access Journals (Sweden)

    Zahra Sharafi

    2017-01-01

    Full Text Available Background. The purpose of this study was to evaluate the effectiveness of two methods of detecting differential item functioning (DIF in the presence of multilevel data and polytomously scored items. The assessment of DIF with multilevel data (e.g., patients nested within hospitals, hospitals nested within districts from large-scale assessment programs has received considerable attention but very few studies evaluated the effect of hierarchical structure of data on DIF detection for polytomously scored items. Methods. The ordinal logistic regression (OLR and hierarchical ordinal logistic regression (HOLR were utilized to assess DIF in simulated and real multilevel polytomous data. Six factors (DIF magnitude, grouping variable, intraclass correlation coefficient, number of clusters, number of participants per cluster, and item discrimination parameter with a fully crossed design were considered in the simulation study. Furthermore, data of Pediatric Quality of Life Inventory™ (PedsQL™ 4.0 collected from 576 healthy school children were analyzed. Results. Overall, results indicate that both methods performed equivalently in terms of controlling Type I error and detection power rates. Conclusions. The current study showed negligible difference between OLR and HOLR in detecting DIF with polytomously scored items in a hierarchical structure. Implications and considerations while analyzing real data were also discussed.

  7. An Innovative Requirements Solution: Combining Six Sigma KJ Language Data Analysis with Automated Content Analysis

    Science.gov (United States)

    2009-03-01

    2008 Carnegie Mellon University An Innovative Requirements Solution: Combining Six Sigma KJ Language Data Analysis with Automated Content...2. REPORT TYPE 3. DATES COVERED 00-00-2009 to 00-00-2009 4. TITLE AND SUBTITLE An Innovative Requirements Solution: Combining Six Sigma KJ...Prescribed by ANSI Std Z39-18 3 An Innovative Requirements Solution: Marrying Six Sigma KJ Analysis with Automation for Text Analysis and

  8. An analysis of infiltration with moisture content distribution in a two-dimensional discretized water content domain

    KAUST Repository

    Yu, Han

    2014-06-11

    On the basis of unsaturated Darcy\\'s law, the Talbot-Ogden method provides a fast unconditional mass conservative algorithm to simulate groundwater infiltration in various unsaturated soil textures. Unlike advanced reservoir modelling methods that compute unsaturated flow in space, it only discretizes the moisture content domain into a suitable number of bins so that the vertical water movement is estimated piecewise in each bin. The dimensionality of the moisture content domain is extended from one dimensional to two dimensional in this study, which allows us to distinguish pore shapes within the same moisture content range. The vertical movement of water in the extended model imitates the infiltration phase in the Talbot-Ogden method. However, the difference in this extension is the directional redistribution, which represents the horizontal inter-bin flow and causes the water content distribution to have an effect on infiltration. Using this extension, we mathematically analyse the general relationship between infiltration and the moisture content distribution associated with wetting front depths in different bins. We show that a more negatively skewed moisture content distribution can produce a longer ponding time, whereas a higher overall flux cannot be guaranteed in this situation. It is proven on the basis of the water content probability distribution independent of soil textures. To illustrate this analysis, we also present numerical examples for both fine and coarse soil textures.

  9. Identification of Case Content with Quantitative Network Analysis

    DEFF Research Database (Denmark)

    Christensen, Martin Lolle; Olsen, Henrik Palmer; Tarissan, Fabian

    2016-01-01

    the relevant articles. In order to enhance information retrieval about case content, without relying on manual labor and subjective judgment, we propose in this paper a quantitative method that gives a better indication of case content in terms of which articles a given case is more closely associated with...... of important cases and comparing manual investigation of real content of those cases with the MAININ and MAINOUT articles. Results show that MAININ in particular is able to infer correctly the real content in most of the cases....

  10. Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability.

    Science.gov (United States)

    Lombard, Matthew; Snyder-Duch, Jennifer; Bracken, Cheryl Campanella

    2002-01-01

    Reviews the importance of intercoder agreement for content analysis in mass communication research. Describes several indices for calculating this type of reliability (varying in appropriateness, complexity, and apparent prevalence of use). Presents a content analysis of content analyses reported in communication journals to establish how…

  11. The Use of Test Method Characteristics in the Content Analysis and Design of EFL Proficiency Tests.

    Science.gov (United States)

    Bachman, Lyle F.; And Others

    1996-01-01

    Discusses the value of content considerations in the design of language tests and the implications of the findings of various investigations of content analysis. The article argues that content analysis can be viewed as the application of a model of test design to a particular measurement instrument, using judgments of trained analysts. (26…

  12. Display of alcohol use on Facebook: a content analysis.

    Science.gov (United States)

    Beullens, Kathleen; Schepers, Adriaan

    2013-07-01

    The present study has two main objectives. First, to examine how alcohol use is portrayed in the visual and textual references on Facebook, and second, to determine how friends react to these alcohol-related postings. A theoretically based content analysis of 160 Facebook profiles generated 2,575 pictures and 92 status updates referring to alcohol use, which represented about 6.50% of the pictures in the total sample and 2.90% of the status updates. These visual and textual references, as well as the peer reactions to these posts, mostly referred to alcohol use in a positive context (72.23% of the pictures and 72.83% of the messages). Furthermore, multiple regression analyses identified the number of Facebook friends and the number of status updates referring to alcohol use as significant predictors of the total number of uploaded pictures containing alcohol use. The results of this study are discussed within the framework of expectancy models of behavior and media effects theories, and show that alcohol-related references are quite common, while negative reactions to these posts are seldom. Further research into the effects of these visual and textual messages is warranted.

  13. A content analysis of Amharic Songs on Nile River

    Directory of Open Access Journals (Sweden)

    berhanu engidaw getahun

    2014-08-01

    Full Text Available This study analysed the content of Amharic songs on Nile river in Ethiopia. Lyrics of eight recent and eight previous songs were qualitatively analyzed using initial coding from which final categories are established through constant comparative method. Major themes the analysis revealed consist of call for unity and collaboration among Ethiopians, a representation  of Nile as untapped treasure and a natural beauty, regret about missed opportunities of not utilizing the Nile for national development, condemning Nile in personified terms, and optimism in recent progresses in utilizing Nile. A shift is noted in the themes of the songs with previous songs emphasizing the beauty and fertility of Nile and recent songs portraying Nile as an untapped wealth. The extent to which the songs discuss Nile vary. Previous songs raise Nile sparingly while recent songs have entire albums devoted to Nile signalling that attention to Nile is increasing. Findings of the study have implication for public relations, for community mobilization and for the politics of Nile waters.

  14. Gender Stereotyping and the Jersey Shore: A Content Analysis

    Directory of Open Access Journals (Sweden)

    Jacqueline S. Anderson

    2016-05-01

    Full Text Available Reality television is a highly popular genre, with a growing body of scholarly research. Unlike scripted programming, which offers fictional storylines, reality television relies heavily on cast member’s reactions to carefully crafted situations. This study examined the relationship between reality television and gender role stereotyping in a seminal reality television show, MTV’s Jersey Shore. Content analysis was used to conduct an in-depth examination of the first season of Jersey Shore, investigating three gendered issues: physical appearance, social roles and behavioral traits. Findings demonstrated the carefully manufactured relationship between gender role stereotyping and reality television programming in Jersey Shore, and illustrate the development of the female reality show character as related to sexualized behavior and social/emotional gender stereotypes. The depiction of female reality show characters seems to have increased its level of sensationalism, while continuing to be clichéd and conventional, while depiction of male characters is beginning to push the boundaries of being typecast in regards to their physical appearance and role in performing domestic tasks. Additionally, physical alterations on screen were many, warranting further investigation of this behavior.

  15. Web Content Analysis On Sustainable Campus Operation (SCO Initiatives

    Directory of Open Access Journals (Sweden)

    Razman Ruzaimah

    2017-01-01

    Full Text Available The purpose of this paper is to identify and analyse the current practices implemented in global universities for achieving sustainability throughout campus operations. This study adopted a web content analysis method where 30 international green universities’ websites have been thoroughly examined to identify common initiatives implemented to achieve sustainability through campus operations. The findings are ranked based on the implementation of these initiatives by participating universities. From the websites reviewed, as much as 31 initiatives have been identified as common initiatives frequently implemented by green universities to achieve sustainability in campus operations. It was found that the common initiatives frequently implemented by most of the universities include ‘Provide bin with clearly marked signs to increase the number of recycling items’, and ‘Generate electricity on campus by establishing power generation plants’ with 87% and 83% respectively. This paper fills the gap by presenting the investigation of sustainability initiatives from some of the major green universities internationally. It is suggested that higher education institutions, particularly Malaysian universities, initiate or manage their implementation of sustainable campus operation (SCO initiatives based on the findings of this research.

  16. Trends of Science Education Research: An Automatic Content Analysis

    Science.gov (United States)

    Chang, Yueh-Hsia; Chang, Chun-Yen; Tseng, Yuen-Hsien

    2010-08-01

    This study used scientometric methods to conduct an automatic content analysis on the development trends of science education research from the published articles in the four journals of International Journal of Science Education, Journal of Research in Science Teaching, Research in Science Education, and Science Education from 1990 to 2007. The multi-stage clustering technique was employed to investigate with what topics, to what development trends, and from whose contribution that the journal publications constructed as a science education research field. This study found that the research topic of Conceptual Change & Concept Mapping was the most studied topic, although the number of publications has slightly declined in the 2000's. The studies in the themes of Professional Development, Nature of Science and Socio-Scientific Issues, and Conceptual Chang and Analogy were found to be gaining attention over the years. This study also found that, embedded in the most cited references, the supporting disciplines and theories of science education research are constructivist learning, cognitive psychology, pedagogy, and philosophy of science.

  17. Content-Based Analysis of Bumper Stickers in Jordan

    Directory of Open Access Journals (Sweden)

    Abdullah A. Jaradat

    2016-12-01

    Full Text Available This study has set out to investigate bumper stickers in Jordan focusing mainly on the themes of the stickers. The study hypothesized that bumper stickers in Jordan reflect a wide range of topics including social, economic, and political. Due to being the first study of this phenomenon, the study has adopted content-based analysis to determine the basic topics. The study has found that the purpose of most bumper sticker is fun and humor; most of them are not serious and do not carry any biting messages. They do not present any criticism to the most dominant problems at the level of society including racism, nepotism, anti-feminism, inflation, high taxes, and refugees. Another finding is that politics is still a taboo; no political bumper stickers were found in Jordan. Finally, the themes the stickers targeted are: lessons of life 28.85 %; challenging or warning other drivers 16%; funny notes about social issues 12%; religious sayings 8%; treating the car as a female 7%; the low economic status of the driver 6%; love and treachery 5.5%; the prestigious status of the car 5%; envy 4%; nicknames for the car or the driver 4%; irony 3 %; and English sayings 1.5 %. Keywords: bumper stickers, themes, politics

  18. The Use of Scientific Data: A Content Analysis

    CERN Document Server

    Zhang, Jian; Vogeley, Michael S

    2010-01-01

    Nowadays, science has been coming into a new paradigm, called data-intensive science. While current studies of the new phenomenon focused on building up infrastructure for this new paradigm, yet a few studies concern users of scientific data, particularly their usage practices in the newly emerging paradigm, even though the importance of understanding users' work flow and practices has been summoned. This study endeavors to improve our understanding of users' data usage behavior through a content analysis of publications in a frequently cited new paradigm-related project, Sloan Digital Sky Survey (SDSS). We found that (1) nearly half studies used one data source only. A few studies exploited three or more data sources; (2) the number of objects that were analyzed in SDSS publications is in all scales from one digit to millions; (3) different paper types may affect the data usage patterns; (4) Users are not only consumers of scientific data. They are producers too; (5) studies that can use multiple large scale...

  19. Portraying Islam and Muslims in MEDLINE: a content analysis.

    Science.gov (United States)

    Laird, Lance Daniel; de Marrais, Justine; Barnes, Linda L

    2007-12-01

    The growing number and diversity of Muslims in the United States and Western Europe challenge clinicians and researchers to understand this population's perspectives and experiences regarding health and biomedicine. For information about Muslim patient populations, clinicians and researchers routinely consult medical literature. To examine how this literature portrays Muslims, we conducted an ethnographic content analysis of 2342 OVID MEDLINE-indexed abstracts from 1966 through August 2005, derived from a Boolean search for "islam or muslim or muslims." Manifest (explicitly stated) themes included Muslim religious practices, Islamic law and ethics, history of Islamic medicine, public health, social medicine, and cultural competence. Latent (underlying) themes implied that being an observant Muslim poses health risks; Muslims are negatively affected by tradition, and should adopt modernity; and that "Islam" is a problem for biomedical healthcare delivery. A countervailing latent theme implies that being Muslim may promote good health. We discuss ambiguities in uses of the term "Muslim;" implications of Muslim practices for health management and healthcare delivery; and ways in which MEDLINE-indexed literature intersects with orientalist and colonialist discourse about religious Others. Such intersections highlight connections with potential structural inequalities in healthcare delivery to Muslim patients.

  20. Semantic content analysis and annotation of histological images.

    Science.gov (United States)

    Yu, Feiyang; Ip, Horace H S

    2008-06-01

    This paper presents a novel two-dimensional (2-D) stochastic method for semantic analysis of the content of histological images Specifically, we propose a 2-D generalization of the traditional hidden Markov model (HMM). The generalization is called spatial-hidden Markov model (SHMM) that captures the contextual characteristics of complex biological features in histological images The model employs a second-order neighborhood system and assumes the conditional independence of vertical and horizontal transitions between hidden states. The notion of 'past' in SHMM is defined as what have been observed in a row-wise raster scan. This paper focuses on two fundamental problems: the best states decoding problem and the estimation of generation probability of an image by a SHMM. Based on our independence assumption of horizontal and vertical transitions, we derive computational tractable solutions to those problems. These solutions are direct extensions of their counterparts, i.e., the Viterbi algorithm and Forward-Backward algorithm, for 1-D HMM. Our experiments were carried on a medical image database with 200 images and compared with a state-of-the-art approach that was run on the same database. The annotation results demonstrated that SHMM consistently outperforms the previous approach and ameliorates many of its drawbacks. In addition, performance comparison with HMM has also validated the superiority of SHMM.

  1. Content analysis of 150 years of British periodicals.

    Science.gov (United States)

    Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Cristianini, Nello

    2017-01-24

    Previous studies have shown that it is possible to detect macroscopic patterns of cultural change over periods of centuries by analyzing large textual time series, specifically digitized books. This method promises to empower scholars with a quantitative and data-driven tool to study culture and society, but its power has been limited by the use of data from books and simple analytics based essentially on word counts. This study addresses these problems by assembling a vast corpus of regional newspapers from the United Kingdom, incorporating very fine-grained geographical and temporal information that is not available for books. The corpus spans 150 years and is formed by millions of articles, representing 14% of all British regional outlets of the period. Simple content analysis of this corpus allowed us to detect specific events, like wars, epidemics, coronations, or conclaves, with high accuracy, whereas the use of more refined techniques from artificial intelligence enabled us to move beyond counting words by detecting references to named entities. These techniques allowed us to observe both a systematic underrepresentation and a steady increase of women in the news during the 20th century and the change of geographic focus for various concepts. We also estimate the dates when electricity overtook steam and trains overtook horses as a means of transportation, both around the year 1900, along with observing other cultural transitions. We believe that these data-driven approaches can complement the traditional method of close reading in detecting trends of continuity and change in historical corpora.

  2. Does the process map influence the outcome of quality improvement work? A comparison of a sequential flow diagram and a hierarchical task analysis diagram

    Directory of Open Access Journals (Sweden)

    Potts Henry WW

    2010-01-01

    Full Text Available Abstract Background Many quality and safety improvement methods in healthcare rely on a complete and accurate map of the process. Process mapping in healthcare is often achieved using a sequential flow diagram, but there is little guidance available in the literature about the most effective type of process map to use. Moreover there is evidence that the organisation of information in an external representation affects reasoning and decision making. This exploratory study examined whether the type of process map - sequential or hierarchical - affects healthcare practitioners' judgments. Methods A sequential and a hierarchical process map of a community-based anti coagulation clinic were produced based on data obtained from interviews, talk-throughs, attendance at a training session and examination of protocols and policies. Clinic practitioners were asked to specify the parts of the process that they judged to contain quality and safety concerns. The process maps were then shown to them in counter-balanced order and they were asked to circle on the diagrams the parts of the process where they had the greatest quality and safety concerns. A structured interview was then conducted, in which they were asked about various aspects of the diagrams. Results Quality and safety concerns cited by practitioners differed depending on whether they were or were not looking at a process map, and whether they were looking at a sequential diagram or a hierarchical diagram. More concerns were identified using the hierarchical diagram compared with the sequential diagram and more concerns were identified in relation to clinical work than administrative work. Participants' preference for the sequential or hierarchical diagram depended on the context in which they would be using it. The difficulties of determining the boundaries for the analysis and the granularity required were highlighted. Conclusions The results indicated that the layout of a process map does

  3. Does the process map influence the outcome of quality improvement work? A comparison of a sequential flow diagram and a hierarchical task analysis diagram.

    Science.gov (United States)

    Colligan, Lacey; Anderson, Janet E; Potts, Henry W W; Berman, Jonathan

    2010-01-07

    Many quality and safety improvement methods in healthcare rely on a complete and accurate map of the process. Process mapping in healthcare is often achieved using a sequential flow diagram, but there is little guidance available in the literature about the most effective type of process map to use. Moreover there is evidence that the organisation of information in an external representation affects reasoning and decision making. This exploratory study examined whether the type of process map - sequential or hierarchical - affects healthcare practitioners' judgments. A sequential and a hierarchical process map of a community-based anti coagulation clinic were produced based on data obtained from interviews, talk-throughs, attendance at a training session and examination of protocols and policies. Clinic practitioners were asked to specify the parts of the process that they judged to contain quality and safety concerns. The process maps were then shown to them in counter-balanced order and they were asked to circle on the diagrams the parts of the process where they had the greatest quality and safety concerns. A structured interview was then conducted, in which they were asked about various aspects of the diagrams. Quality and safety concerns cited by practitioners differed depending on whether they were or were not looking at a process map, and whether they were looking at a sequential diagram or a hierarchical diagram. More concerns were identified using the hierarchical diagram compared with the sequential diagram and more concerns were identified in relation to clinical work than administrative work. Participants' preference for the sequential or hierarchical diagram depended on the context in which they would be using it. The difficulties of determining the boundaries for the analysis and the granularity required were highlighted. The results indicated that the layout of a process map does influence perceptions of quality and safety problems in a process. In

  4. Content analysis of agricultural training advertisements in Nigerian newspapers

    Directory of Open Access Journals (Sweden)

    A. Oloruntoba

    2013-12-01

    Full Text Available It is obvious that the use of newspapers is one of the ways through which literate farmers could access agriculture-related information and are acquainted with innovations in agriculture. This study investigated the content of agricultural training advertisements in three Nigerian newspapers: The Guardian, Nigerian Tribune and Daily Times. Using multistage sampling techniques, 240 editions of these newspapers containing 609 advertisements for five years (2001–2005 were selected. In terms of agricultural subsectoral coverage, 30.3% were on veterinary services while forestry services recorded the least advertisement (4.0 %. The Nigerian Tribune newspaper has the highest coverage of agricultural training advertisements 40.7% compared to the 34.7% and 12.2% for Daily Times and Guardian newspapers, respectively. The result also showed that majority of agricultural training advertisements (81.10% were placed on the non-prominent pages of the selected newspapers. Chi-Square analysis of association between the categories of agricultural training advertisements in the focal newspapers showed that there is significant relationship in the rate at which the sampled newspapers advertise different category of agricultural training advertisements in the newspapers (p<0.05. Chi square analysis also indicated that there is significant association between the placements of agricultural training advertisements and type of newspapers (p<0.05. This implies that advertisement placement on prominent pages of newspapers is determined by the policy of print media organization which also varies with cost of advertisement. It is therefore recommended that agricultural news items should be given more prominence as a panacea for increased information source to new entrants, especially the literate farmers to encourage farming.

  5. Genetic analysis of amino acid content in wheat grain

    Indian Academy of Sciences (India)

    Xiaoling Jiang; Peng Wu; Jichun Tian

    2014-08-01

    Complete diallel crosses with five parents of common wheat (Triticum aestivum L.) were conducted to analyse inheritance of 17 amino acid contents by using the genetic model including seed, cytoplasmic, maternal and environment interaction effects on quantitative traits of seeds in cereal crops. The results showed that inheritance of 17 amino acid contents, except tyrosine, was controlled by several genetic systems including seed, cytoplasmic, and maternal effects, and by significant gene × environment interaction effects. Seed-direct additive and maternal effects constituted a major part of genetic effects for lysine, tyrosine, arginine, methionine, and glutamic acid content. Seed-direct additive effect formed main part in inheritance of isoleucine and serine contents. Threonine content was mainly governed by maternal additive effect. The other nine amino acid contents were almost entirely controlled by dominance effects. High general heritability of tyrosine (36.3%), arginine (45.8%), lysine (24.7%) and threonine (21.4%) contents, revealed that it could be effective to improve them by direct selection in progenies from appropriate crosses. Interaction heritability for phenylalanine, proline, and histidine content, which was 36.1%, 39.5% and 25.7%, respectively, was higher than for the other amino acids.

  6. Content-based analysis improves audiovisual archive retrieval

    NARCIS (Netherlands)

    Huurnink, B.; Snoek, C.G.M.; de Rijke, M.; Smeulders, A.W.M.

    2012-01-01

    Content-based video retrieval is maturing to the point where it can be used in real-world retrieval practices. One such practice is the audiovisual archive, whose users increasingly require fine-grained access to broadcast television content. In this paper, we take into account the information needs

  7. Analysis of Engineering Content within Technology Education Programs

    Science.gov (United States)

    Fantz, Todd D.; Katsioloudis, Petros J.

    2011-01-01

    In order to effectively teach engineering, technology teachers need to be taught engineering content, concepts, and related pedagogy. Some researchers posit that technology education programs may not have enough content to prepare technology teachers to teach engineering design. Certain technology teacher education programs have responded by…

  8. Analysis of Factors Affecting Olefin Content in FCC Gasoline

    Institute of Scientific and Technical Information of China (English)

    Wang Tao

    2005-01-01

    In order to meet the urgent need for reducing olefin content in cracked naphtha, the influence of feedstock characteristics on the olefin content was discussed. The different types and performance of catalysts developed by RIPP were introduced. Moreover, some effective operation approaches in commercial units were presented to serve as a reference to the refiners for catalyst selection.

  9. Content-based analysis improves audiovisual archive retrieval

    NARCIS (Netherlands)

    Huurnink, B.; Snoek, C.G.M.; de Rijke, M.; Smeulders, A.W.M.

    2012-01-01

    Content-based video retrieval is maturing to the point where it can be used in real-world retrieval practices. One such practice is the audiovisual archive, whose users increasingly require fine-grained access to broadcast television content. In this paper, we take into account the information needs

  10. Automatic Hierarchical Color Image Classification

    Directory of Open Access Journals (Sweden)

    Jing Huang

    2003-02-01

    Full Text Available Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however. Image classification attempts to solve this hard problem by using low-level image features. In this paper, we propose a method for hierarchical classification of images via supervised learning. This scheme relies on using a good low-level feature and subsequently performing feature-space reconfiguration using singular value decomposition to reduce noise and dimensionality. We use the training data to obtain a hierarchical classification tree that can be used to categorize new images. Our experimental results suggest that this scheme not only performs better than standard nearest-neighbor techniques, but also has both storage and computational advantages.

  11. Examining the Internationalization of Counseling Psychology Scholarship: A Content Analysis of Two US Journals

    Science.gov (United States)

    Pieterse, Alex; Fang, Ke; Evans, Sarah

    2011-01-01

    This content analysis examined internationally focused scholarship published from 1997 to 2009 in two counseling journals published in the United States (US), namely "The Counseling Psychologist" ("TCP") and the "Journal of Counseling Psychology" ("JCP"). Both demographic and content criteria, including…

  12. Quark flavor mixings from hierarchical mass matrices

    Energy Technology Data Exchange (ETDEWEB)

    Verma, Rohit [Chinese Academy of Sciences, Institute of High Energy Physics, Beijing (China); Rayat Institute of Engineering and Information Technology, Ropar (India); Zhou, Shun [Chinese Academy of Sciences, Institute of High Energy Physics, Beijing (China); Peking University, Center for High Energy Physics, Beijing (China)

    2016-05-15

    In this paper, we extend the Fritzsch ansatz of quark mass matrices while retaining their hierarchical structures and show that the main features of the Cabibbo-Kobayashi-Maskawa (CKM) matrix V, including vertical stroke V{sub us} vertical stroke ≅ vertical stroke V{sub cd} vertical stroke, vertical stroke V{sub cb} vertical stroke ≅ vertical stroke V{sub ts} vertical stroke and vertical stroke V{sub ub} vertical stroke / vertical stroke V{sub cb} vertical stroke < vertical stroke V{sub td} vertical stroke / vertical stroke V{sub ts} vertical stroke can be well understood. This agreement is observed especially when the mass matrices have non-vanishing (1, 3) and (3, 1) off-diagonal elements. The phenomenological consequences of these for the allowed texture content and gross structural features of 'hierarchical' quark mass matrices are addressed from a model-independent prospective under the assumption of factorizable phases in these. The approximate and analytical expressions of the CKM matrix elements are derived and a detailed analysis reveals that such structures are in good agreement with the observed quark flavor mixing angles and the CP-violating phase at the 1σ level and call upon a further investigation of the realization of these structures from a top-down prospective. (orig.)

  13. A content analysis of Camel Snus advertisements in print media.

    Science.gov (United States)

    Timberlake, David S; Pechmann, Cornelia; Tran, Sarah Y; Au, Vanessa

    2011-06-01

    Researchers have questioned whether the R.J. Reynolds Tobacco Company is marketing Camel Snus as a product for nontobacco users, smokeless-tobacco users, or cigarette smokers. The objective of this study was to examine advertisements of Camel Snus in print media to determine the most likely audience of intent. A content analysis was conducted among Camel Snus advertisements printed in newspaper and consumer magazines between July 2007 and August 2010. The advertisements (n = 83 distinct; N = 458 total) were identified from a comprehensive search of a proprietary database maintained by TNS Media Intelligence. Results indicated that all advertisements, published between July 2007 and September 2009, were intended to promote a tobacco product for cigarette smokers. A shift in marketing strategy occurred from October 2009 to the present time with publication of the "Break Free" magazine advertisements, characterized by an ambiguous message that could conceivably appeal to any group, including nontobacco users (e.g., adolescents), smokeless-tobacco users, and/or cigarette smokers. However, an examination of the consumer magazines advertising Camel Snus indicated a demographically diverse readership in terms of gender, age, and education, suggesting that the advertisements are less likely to be intended for smokeless-tobacco users. These findings validate other reports and editorials, suggesting that Camel Snus was being marketed as a product for smokers at the time of the product's national debut. The recent shift to the "Break Free" marketing campaign may reflect an attempt to enhance the image of the Camel brand in order to attract a broader spectrum of consumers.

  14. Conceptualizing nurses' night work: an inductive content analysis.

    Science.gov (United States)

    West, Sandra; Rudge, Trudy; Mapedzahama, Virginia

    2016-08-01

    To develop a conceptual model of nurse-identified effects of night work. Studies designed to predict shift work tolerance are frequently unsuccessful in incorporating the intersections between physiological, psychological and social issues involved in such work. Where nurses have been the participants of such studies they have rarely been involved in ways that would allow their points of view to be heard directly. Consequently, the issues of personal importance to nurses as shift and night workers in 24/7 organizations are rarely identified in discussions about that work. Inductive qualitative content analysis. Survey responses were provided by 1355 night working RNs employed in a state/public health system in 2012. Data derived from open-ended questions about nurses' own perceptions of the advantages and disadvantages of night work are analysed here. Four main categories providing a descriptive summary of the major elements of nurses' night work were identified: 'Lives' and 'Bodies' of night working nurses, the 'Work' of nurses at night and the nurses' 'Workplace' at night. The work nurses undertake at night, and the demanding organizational and clinical environments where they do this are uniquely related to the time of day that this work occurs. The Nurses' Night Work model deconstructs the established binary considerations of the lives and bodies of workers to permit a 24/7-based consideration of nurses' night work and its frequently unacknowledged relationship with the day work required of the same nurses when working a rapidly but randomly rotating shift work schedule. © 2016 John Wiley & Sons Ltd.

  15. Online nutrition information for pregnant women: a content analysis.

    Science.gov (United States)

    Storr, Tayla; Maher, Judith; Swanepoel, Elizabeth

    2016-06-29

    Pregnant women actively seek health information online, including nutrition and food-related topics. However, the accuracy and readability of this information have not been evaluated. The aim of this study was to describe and evaluate pregnancy-related food and nutrition information available online. Four search engines were used to search for pregnancy-related nutrition web pages. Content analysis of web pages was performed. Web pages were assessed against the 2013 Australian Dietary Guidelines to assess accuracy. Flesch-Kincaid (F-K), Simple Measure of Gobbledygook (SMOG), Gunning Fog Index (FOG) and Flesch reading ease (FRE) formulas were used to assess readability. Data was analysed descriptively. Spearman's correlation was used to assess the relationship between web page characteristics. Kruskal-Wallis test was used to check for differences among readability and other web page characteristics. A total of 693 web pages were included. Web page types included commercial (n = 340), not-for-profit (n = 113), blogs (n = 112), government (n = 89), personal (n = 36) and educational (n = 3). The accuracy of online nutrition information varied with 39.7% of web pages containing accurate information, 22.8% containing mixed information and 37.5% containing inaccurate information. The average reading grade of all pages analysed measured by F-K, SMOG and FOG was 11.8. The mean FRE was 51.6, a 'fairly difficult to read' score. Only 0.5% of web pages were written at or below grade 6 according to F-K, SMOG and FOG. The findings suggest that accuracy of pregnancy-related nutrition information is a problem on the internet. Web page readability is generally difficult and means that the information may not be accessible to those who cannot read at a sophisticated level. © 2016 John Wiley & Sons Ltd.

  16. What the newspapers say about medication adherence: a content analysis.

    Science.gov (United States)

    Goodfellow, Nicola A; Almomani, Basima A; Hawwa, Ahmed F; McElnay, James C

    2013-10-02

    This study investigates the coverage of adherence to medicine by the UK and US newsprint media. Adherence to medicine is recognised as an important issue facing healthcare professionals and the newsprint media is a key source of health information, however, little is known about newspaper coverage of medication adherence. A search of the newspaper database Nexis®UK from 2004-2011 was performed. Content analysis of newspaper articles which referenced medication adherence from the twelve highest circulating UK and US daily newspapers and their Sunday equivalents was carried out. A second researcher coded a 15% sample of newspaper articles to establish the inter-rater reliability of coding. Searches of newspaper coverage of medication adherence in the UK and US yielded 181 relevant articles for each country. There was a large increase in the number of scientific articles on medication adherence in PubMed® over the study period, however, this was not reflected in the frequency of newspaper articles published on medication adherence. UK newspaper articles were significantly more likely to report the benefits of adherence (p = 0.005), whereas US newspaper articles were significantly more likely to report adherence issues in the elderly population (p = 0.004) and adherence associated with diseases of the central nervous system (p = 0.046). The most commonly reported barriers to adherence were patient factors e.g. poor memory, beliefs and age, whereas, the most commonly reported facilitators to adherence were medication factors including simplified regimens, shorter treatment duration and combination tablets. HIV/AIDS was the single most frequently cited disease (reported in 20% of newspaper articles). Poor quality reporting of medication adherence was identified in 62% of newspaper articles. Adherence is not well covered in the newspaper media despite a significant presence in the medical literature. The mass media have the potential to help educate and shape the public

  17. The HPV vaccine: a content analysis of online news stories.

    Science.gov (United States)

    Habel, Melissa A; Liddon, Nicole; Stryker, Jo E

    2009-03-01

    Approximately 73 million adults in the United States report using the Internet as a source for health information. This study examines the quality, content, and scope of human papillomavirus (HPV) vaccine Internet news coverage starting on the day of its licensure. Information about the HPV vaccine in the media may influence personal attitudes and vaccine uptake. Using four search engines and six search terms, a sample of 250 Internet articles on the HPV vaccine were identified between June 8, 2006, and September 26, 2006. The coding instrument captured how the headline was depicted and how the vaccine was labeled in addition to information about HPV, cervical cancer, the HPV vaccine, and current social issues and concerns about the vaccine. Analysis revealed balanced Internet news coverage; 52.4% of Internet news stories were coded as neutral toward the vaccine. Eighty-eight percent of articles labeled the vaccine as a cervical cancer vaccine; 73.5% explained the link between HPV and cervical cancer, although without providing background information on HPV or cervical cancer. Vaccine affordability was the most cited social concern (49.2%). Information about vaccine safety and side effects, duration of vaccine protection, and availability of the catchup vaccine for females aged 13-26 was repeatedly missing. The HPV vaccine is being marketed as a vaccine to prevent cervical cancer. Comprehensive information on the vaccine, HPV, and cervical cancer continues to be missing from media coverage. Public health educators should monitor online media in an effort to respond to inaccurate information. Barriers to vaccine cost and funding mechanisms need to be addressed more effectively by states. Knowledge of particular media messages could provide a starting point for tackling opposition and uptake issues for future sexually transmitted infection (STI) vaccines.

  18. Genetic Analysis on Isoflavone Content in Soybean Seeds

    Institute of Scientific and Technical Information of China (English)

    SUN Jun-ming; DING An-lin; CHANG Ru-zhen

    2002-01-01

    Fifteen combinations with six soybean cultivars of different isoflavone content were formulated and planted in a randomized complete-block design model; genetic factors of isoflavone quantity were analyzed. Resuits indicated that genetic factors of isoflavone contents in F2 population inherited quantitatively. Isoflavone content of F1, F2 seeds normally trended. There were heterosis in F1, F2 of most combinations, and also heterobeltiosis in part of the crosses. The broad sense heritability of F2 was higher in parts of the crosses. It predicted the selection might be carried out preliminarily in F2 hybrids. There was significant positive correlation between hybrids and mid-parent.

  19. An introduction to hierarchical linear modeling

    National Research Council Canada - National Science Library

    Woltman, Heather; Feldstain, Andrea; MacKay, J. Christine; Rocchi, Meredith

    2012-01-01

    This tutorial aims to introduce Hierarchical Linear Modeling (HLM). A simple explanation of HLM is provided that describes when to use this statistical technique and identifies key factors to consider before conducting this analysis...

  20. Analysis of Content of Selected Critical Elements in Fly Ash

    Directory of Open Access Journals (Sweden)

    Makowska Dorota

    2016-03-01

    Full Text Available Pursuant to the new mineral policy of the European Union, searching for new sources of raw materials is required. Coal fly ash has long been considered as a potential source of a number of critical elements. Therefore, it is important to monitor the contents of the critical elements in fly ash from coal combustion. The paper presents the results of examinations of the contents of selected elements, i.e. beryllium, cobalt, chromium and germanium in fly ash from Polish power plants. The results of the conducted investigations indicate that the examined ash samples from bituminous coal combustion cannot be treated as a potential source of the analysed critical elements. The content of these elements in ash, though slightly higher than their average content in the sedimentary rocks, is, however, not high enough to make their recovery technologically and economically justified at this moment.

  1. Analyzing Public Discourse: Using Media Content Analysis to Understand the Policy Process

    Science.gov (United States)

    Saraisky, Nancy Green

    2016-01-01

    One of the most basic and obvious sources of data for education policy analysis is text. This article discusses content analysis as an important part of the methodological toolbox for elucidating patterns and trends about education policy. Focusing specifically on media, I show how media content analysis can produce nuanced insights about the ways…

  2. Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data

    Directory of Open Access Journals (Sweden)

    Björn J. Döring

    2013-12-01

    Full Text Available A synthetic aperture radar (SAR system requires external absolute calibration so that radiometric measurements can be exploited in numerous scientific and commercial applications. Besides estimating a calibration factor, metrological standards also demand the derivation of a respective calibration uncertainty. This uncertainty is currently not systematically determined. Here for the first time it is proposed to use hierarchical modeling and Bayesian statistics as a consistent method for handling and analyzing the hierarchical data typically acquired during external calibration campaigns. Through the use of Markov chain Monte Carlo simulations, a joint posterior probability can be conveniently derived from measurement data despite the necessary grouping of data samples. The applicability of the method is demonstrated through a case study: The radar reflectivity of DLR’s new C-band Kalibri transponder is derived through a series of RADARSAT-2 acquisitions and a comparison with reference point targets (corner reflectors. The systematic derivation of calibration uncertainties is seen as an important step toward traceable radiometric calibration of synthetic aperture radars.

  3. What the newspapers say about medication adherence: a content analysis

    Science.gov (United States)

    2013-01-01

    Background This study investigates the coverage of adherence to medicine by the UK and US newsprint media. Adherence to medicine is recognised as an important issue facing healthcare professionals and the newsprint media is a key source of health information, however, little is known about newspaper coverage of medication adherence. Methods A search of the newspaper database Nexis®UK from 2004–2011 was performed. Content analysis of newspaper articles which referenced medication adherence from the twelve highest circulating UK and US daily newspapers and their Sunday equivalents was carried out. A second researcher coded a 15% sample of newspaper articles to establish the inter-rater reliability of coding. Results Searches of newspaper coverage of medication adherence in the UK and US yielded 181 relevant articles for each country. There was a large increase in the number of scientific articles on medication adherence in PubMed® over the study period, however, this was not reflected in the frequency of newspaper articles published on medication adherence. UK newspaper articles were significantly more likely to report the benefits of adherence (p = 0.005), whereas US newspaper articles were significantly more likely to report adherence issues in the elderly population (p = 0.004) and adherence associated with diseases of the central nervous system (p = 0.046). The most commonly reported barriers to adherence were patient factors e.g. poor memory, beliefs and age, whereas, the most commonly reported facilitators to adherence were medication factors including simplified regimens, shorter treatment duration and combination tablets. HIV/AIDS was the single most frequently cited disease (reported in 20% of newspaper articles). Poor quality reporting of medication adherence was identified in 62% of newspaper articles. Conclusion Adherence is not well covered in the newspaper media despite a significant presence in the medical literature. The mass media have the

  4. The Experience of Delusion Content Psycholinguistic Analysis in Paranoid Schizophrenia Onset

    Directory of Open Access Journals (Sweden)

    Gorkovaia I.A.

    2017-06-01

    Full Text Available The article presents the experience of delusion content psycholinguistic analysis in paranoid schizophrenia onset. The 100 medical histories of men and women who have the diagnosis of paranoid schizophrenia (F20.0 have been studied. The patients have been divided into four groups according to their sex and age (adolescence and the first period of maturity, when the disease onset had been. To implement the delusion content psycholinguistic analysis at a lexical level of language the inductive content analysis has been used and to do this at a syntactical level of language the deductive content analysis has been used. The statistical manipulation variants of content analysis’s data and the ways of data graphic representation have been demonstrated. The conclusion that psycholinguistic analysis exposes the features of delusion content in the patients’ groups sorted out according their sex and age when paranoid schizophrenia onset had been have been done.

  5. A Content Analysis of Cognitive Health Promotion in Popular Magazines

    Science.gov (United States)

    Friedman, Daniela B.; Laditka, Sarah B.; Laditka, James N.; Price, Anna E.

    2011-01-01

    Health behaviors, particularly physical activity, may promote cognitive health. The public agenda for health behaviors is influenced by popular media. We analyzed the cognitive health content of 20 United States magazines, examining every page of every 2006-2007 issue of the highest circulating magazines for general audiences, women, men, African…

  6. Saturday Morning Children's Television Advertising: A Longitudinal Content Analysis.

    Science.gov (United States)

    Byrd-Bredbenner, Carol

    2002-01-01

    Content of ads on Saturday children's television programs in 1993 (n=378) and 1999 (n=385) was compared with dietary recommendations and advertising guidelines. Cereals and foods high in sugar or fat dominated ads. Results were compared with earlier studies, finding that over 30 years, ads adhered to advertising guidelines but did not reflect…

  7. A Content Analysis of Protective Factors within States' Antibullying Laws

    Science.gov (United States)

    Weaver, Lori M.; Brown, James R.; Weddle, Daniel B.; Aalsma, Matthew C.

    2013-01-01

    State lawmakers have responded to school bullying by crafting antibullying legislation. By July 2011, 47 states enacted such laws, though varied widely in content and scope. This study systematically evaluated each state's antibullying legislation by focusing on the inclusion of individual, parental, and systemic protective factors through…

  8. Content Analysis of Research Contributions towards Environmental Issues in Sindh

    Science.gov (United States)

    Lashari, Jagul Huma; Bhutto, Arabella; Rashdi, Roshan S. Shah; Qureshi, S. M.

    2015-01-01

    This research article identifies the contributions of PhD faculty members of Higher Education Institutions (HEIs) in Sindh Pakistan offering degrees in the environment discipline through published articles in journals, conference proceedings, research project reports and focused areas of research. The content analyses of curriculum vitae data of…

  9. Work-Related Daydreams: A Qualitative Content Analysis

    Science.gov (United States)

    Pisarik, Christopher T.; Rowell, P. Clay; Currie, Lacy K.

    2013-01-01

    This study was conducted to develop and examine the work-related daydream construct. The content of undergraduate college students' daydream journals were analyzed using an exploratory qualitative research methodology. The data suggested that the work-related daydream phenomenon was a tangible and accessible process that presented fully developed…

  10. Disintermediation and User-generated Content: A Latent Segmentation Analysis

    NARCIS (Netherlands)

    Del Chiappa, Giacomo; Lorenzo Romero, Carlota; Constantinides, Efthymios

    2014-01-01

    This research investigates the perceptions of different groups of consumers for and against the disintermediation of travel agencies also considering the relative power in influencing the tourist's choices exerted by user generated-content (UGC). A web-based survey is carried out in Spain and 961

  11. Analysis of Fatty Acid Content and Composition in Microalgae

    NARCIS (Netherlands)

    Breuer, G.; Evers, W.A.C.; Vree, de J.H.; Kleinegris, D.M.M.; Martens, D.E.; Wijffels, R.H.; Lamers, P.P.

    2013-01-01

    A method to determine the content and composition of total fatty acids present in microalgae is described. Fatty acids are a major constituent of microalgal biomass. These fatty acids can be present in different acyl-lipid classes. Especially the fatty acids present in triacylglycerol (TAG) are of c

  12. Analysis of the RNA Content of the Yeast "Saccharomyces Cerevisiae"

    Science.gov (United States)

    Deutch, Charles E.; Marshall, Pamela A.

    2008-01-01

    In this article, the authors describe an interconnected set of relatively simple laboratory experiments in which students determine the RNA content of yeast cells and use agarose gel electrophoresis to separate and analyze the major species of cellular RNA. This set of experiments focuses on RNAs from the yeast "Saccharomyces cerevisiae", a…

  13. Content Analysis of Four National Music Organizations' Conferences

    Science.gov (United States)

    Orman, Evelyn K.; Price, Harry E.

    2007-01-01

    We examined the content of the 2002 and 2004 National Biennial In-Service Conferences of MENC: The National Association for Music Education; the 2002 and 2004 Midwest Clinic: An International Band and Orchestra Conferences; the 2002 and 2004 Orff-Schulwerk Conferences; and the 2003 and 2005 American Choral Directors Association Conventions. Each…

  14. A Content Analysis of Protective Factors within States' Antibullying Laws

    Science.gov (United States)

    Weaver, Lori M.; Brown, James R.; Weddle, Daniel B.; Aalsma, Matthew C.

    2013-01-01

    State lawmakers have responded to school bullying by crafting antibullying legislation. By July 2011, 47 states enacted such laws, though varied widely in content and scope. This study systematically evaluated each state's antibullying legislation by focusing on the inclusion of individual, parental, and systemic protective factors through…

  15. Disintermediation and User-generated Content: A Latent Segmentation Analysis

    NARCIS (Netherlands)

    Chiappa, Del Giacomo; Lorenzo-Romero, Carlota; Constantinides, E.

    2014-01-01

    This research investigates the perceptions of different groups of consumers for and against the disintermediation of travel agencies also considering the relative power in influencing the tourist's choices exerted by user generated-content (UGC). A web-based survey is carried out in Spain and 961 co

  16. Automated morphological analysis of bone marrow cells in microscopic images for diagnosis of leukemia: nucleus-plasma separation and cell classification using a hierarchical tree model of hematopoesis

    Science.gov (United States)

    Krappe, Sebastian; Wittenberg, Thomas; Haferlach, Torsten; Münzenmayer, Christian

    2016-03-01

    The morphological differentiation of bone marrow is fundamental for the diagnosis of leukemia. Currently, the counting and classification of the different types of bone marrow cells is done manually under the use of bright field microscopy. This is a time-consuming, subjective, tedious and error-prone process. Furthermore, repeated examinations of a slide may yield intra- and inter-observer variances. For that reason a computer assisted diagnosis system for bone marrow differentiation is pursued. In this work we focus (a) on a new method for the separation of nucleus and plasma parts and (b) on a knowledge-based hierarchical tree classifier for the differentiation of bone marrow cells in 16 different classes. Classification trees are easily interpretable and understandable and provide a classification together with an explanation. Using classification trees, expert knowledge (i.e. knowledge about similar classes and cell lines in the tree model of hematopoiesis) is integrated in the structure of the tree. The proposed segmentation method is evaluated with more than 10,000 manually segmented cells. For the evaluation of the proposed hierarchical classifier more than 140,000 automatically segmented bone marrow cells are used. Future automated solutions for the morphological analysis of bone marrow smears could potentially apply such an approach for the pre-classification of bone marrow cells and thereby shortening the examination time.

  17. Hierarchical Spectral Analysis Isomorphism Testing Algorithm for Undirected Graph%无向图的层次化谱分析同构判定算法

    Institute of Scientific and Technical Information of China (English)

    谢敏; 杨帆; 曾璇

    2015-01-01

    In this paper, a hierarchical isomorphism testing algorithm based on spectral analysis is proposed for undirected graphs. The proposed algorithm firstly checks the vertices number, edge number and degree sequence of the two graphs. Afterwards, a hierarchical spectral algorithm is employed to further test the isomorphism of the graphs. The proposed algorithm can achieve higher efficiency for graphs of regular grid or fixed degrees compared with the state-of-the-art Nauty algorithm.%针对无向图同构的判定问题, 一种层次化的基于谱分析的同构判定算法. 比较两图的顶点数、边数以及度数序列对图进行预同构判定; 然后对具有唯一 Fiedler 向量的图通过层次化的谱分析算法进行再次同构判定. 与最具代表性的同构判定算法 Nauty 相比, 随着判定图的规模增大, 该算法对于规则网格图和固定度数图具有更高的同构判定效率.

  18. Hierarchical structure of maladaptive personality traits in older adults: joint factor analysis of the PID-5 and the DAPP-BQ.

    Science.gov (United States)

    Van den Broeck, Joke; Bastiaansen, Leen; Rossi, Gina; Dierckx, Eva; De Clercq, Barbara; Hofmans, Joeri

    2014-04-01

    In DSM-5, the categorical model and criteria for the 10 personality disorders included in DSM-IV will be reprinted in Section II. Moreover, an alternative dimensional classification model will appear in Section III. This alternative DSM-5 proposal for the diagnosis of a personality disorder is based on two fundamental criteria: impairments in personality functioning (Criterion A) and the presence of pathological personality traits (Criterion B). In the maladaptive trait model that has been developed to operationalize Criterion B, 25 pathological traits are organized according to five higher order dimensions. The current study focuses on the convergence of the proposed DSM-5 trait model (as measured by the Personality Inventory for DSM-5 [PID-5]) with the Dimensional Assessment of Personality Pathology (DAPP) model (as measured by the Dimensional Assessment of Personality Pathology-Basic Questionnaire [DAPP-BQ]) in a sample of older people. A joint hierarchical factor analysis showed clear convergence between four PID-5 dimensions (Negative Affect, Detachment, Antagonism, Disinhibition) and conceptually similar DAPP-BQ components. Moreover, the PID-5 and the DAPP-BQ showed meaningful associations on different levels of their joint hierarchical factor structure. Methodological and theoretical implications of these initial results for the conceptualization of personality pathology are discussed.

  19. Hierarchical organization of fluxes in Escherichia coli metabolic network: using flux coupling analysis for understanding the physiological properties of metabolic genes.

    Science.gov (United States)

    Hosseini, Zhaleh; Marashi, Sayed-Amir

    2015-05-01

    Flux coupling analysis is a method for investigating the connections between reactions of metabolic networks. Here, we construct the hierarchical flux coupling graph for the reactions of the Escherichia coli metabolic network model to determine the level of each reaction in the graph. This graph is constructed based on flux coupling analysis of metabolic network: if zero flux through reaction a results in zero flux through reaction b (and not vice versa), then reaction a is located at the top of reaction b in the flux coupling graph. We show that in general, more important, older and essential reactions are located at the top of the graph. Strikingly, genes corresponding to these reactions are found to be the genes which are most regulated.

  20. The oscillatory behavior of the high-temperature expansion of Dyson's hierarchical model: A renormalization group analysis

    Science.gov (United States)

    Meurice, Y.; Niermann, S.; Ordaz, G.

    1997-04-01

    We calculate 800 coefficients of the high-temperature expansion of the magnetic susceptibility of Dyson's hierarchical model with a Landau-Ginzburg measure. Log-periodic corrections to the scaling laws appear as in the case of an Ising measure. The period of oscillation appears to be a universal quantity given in good approximation by the logarithm of the largest eigenvalue of the linearized RG transformation, in agreement with a possibility suggested by Wilson and developed by Niemeijer and van Leeuwen. We estimate γ to be 1.300 (with a systematic error of the order of 0.002), in good agreement with the results obtained with other methods, such as the ɛ-expansion. We briefly discuss the relationship between the oscillations and the zeros of the partition function near the critical point in the complex temperature plane.

  1. Integrative analysis of functional genomic annotations and sequencing data to identify rare causal variants via hierarchical modeling

    Directory of Open Access Journals (Sweden)

    Marinela eCapanu

    2015-05-01

    Full Text Available Identifying the small number of rare causal variants contributing to disease has beena major focus of investigation in recent years, but represents a formidable statisticalchallenge due to the rare frequencies with which these variants are observed. In thiscommentary we draw attention to a formal statistical framework, namely hierarchicalmodeling, to combine functional genomic annotations with sequencing data with theobjective of enhancing our ability to identify rare causal variants. Using simulations weshow that in all configurations studied, the hierarchical modeling approach has superiordiscriminatory ability compared to a recently proposed aggregate measure of deleteriousness,the Combined Annotation-Dependent Depletion (CADD score, supportingour premise that aggregate functional genomic measures can more accurately identifycausal variants when used in conjunction with sequencing data through a hierarchicalmodeling approach

  2. Hierarchical structure for audio-video based semantic classification of sports video sequences

    Science.gov (United States)

    Kolekar, M. H.; Sengupta, S.

    2005-07-01

    A hierarchical structure for sports event classification based on audio and video content analysis is proposed in this paper. Compared to the event classifications in other games, those of cricket are very challenging and yet unexplored. We have successfully solved cricket video classification problem using a six level hierarchical structure. The first level performs event detection based on audio energy and Zero Crossing Rate (ZCR) of short-time audio signal. In the subsequent levels, we classify the events based on video features using a Hidden Markov Model implemented through Dynamic Programming (HMM-DP) using color or motion as a likelihood function. For some of the game-specific decisions, a rule-based classification is also performed. Our proposed hierarchical structure can easily be applied to any other sports. Our results are very promising and we have moved a step forward towards addressing semantic classification problems in general.

  3. Drifting through basic subprocesses of reading: A hierarchical diffusion model analysis of age effects on visual word recognition

    Directory of Open Access Journals (Sweden)

    Eva Froehlich

    2016-11-01

    Full Text Available Reading is one of the most popular leisure activities and it is routinely performed by most individuals even in old age. Successful reading enables older people to master and actively participate in everyday life and maintain functional independence. Yet, reading comprises a multitude of subprocesses and it is undoubtedly one of the most complex accomplishments of the human brain. Not surprisingly, findings of age-related effects on word recognition and reading have been partly contradictory and are often confined to only one of four central reading subprocesses, i.e., sublexical, orthographic, phonological and lexico-semantic processing. The aim of the present study was therefore to systematically investigate the impact of age on each of these subprocesses. A total of 1,807 participants (young, N = 384; old, N = 1,423 performed four decision tasks specifically designed to tap one of the subprocesses. To account for the behavioral heterogeneity in older adults, this subsample was split into high and low performing readers. Data were analyzed using a hierarchical diffusion modelling approach which provides more information than standard response times/accuracy analyses. Taking into account incorrect and correct response times, their distributions and accuracy data, hierarchical diffusion modelling allowed us to differentiate between age-related changes in decision threshold, non-decision time and the speed of information uptake. We observed longer non-decision times for older adults and a more conservative decision threshold. More importantly, high-performing older readers outperformed younger adults at the speed of information uptake in orthographic and lexico-semantic processing whereas a general age-disadvantage was observed at the sublexical and phonological levels. Low-performing older readers were slowest in information uptake in all four subprocesses. Discussing these results in terms of computational models of word recognition, we propose

  4. Drifting through Basic Subprocesses of Reading: A Hierarchical Diffusion Model Analysis of Age Effects on Visual Word Recognition

    Science.gov (United States)

    Froehlich, Eva; Liebig, Johanna; Ziegler, Johannes C.; Braun, Mario; Lindenberger, Ulman; Heekeren, Hauke R.; Jacobs, Arthur M.

    2016-01-01

    Reading is one of the most popular leisure activities and it is routinely performed by most individuals even in old age. Successful reading enables older people to master and actively participate in everyday life and maintain functional independence. Yet, reading comprises a multitude of subprocesses and it is undoubtedly one of the most complex accomplishments of the human brain. Not surprisingly, findings of age-related effects on word recognition and reading have been partly contradictory and are often confined to only one of four central reading subprocesses, i.e., sublexical, orthographic, phonological and lexico-semantic processing. The aim of the present study was therefore to systematically investigate the impact of age on each of these subprocesses. A total of 1,807 participants (young, N = 384; old, N = 1,423) performed four decision tasks specifically designed to tap one of the subprocesses. To account for the behavioral heterogeneity in older adults, this subsample was split into high and low performing readers. Data were analyzed using a hierarchical diffusion modeling approach, which provides more information than standard response time/accuracy analyses. Taking into account incorrect and correct response times, their distributions and accuracy data, hierarchical diffusion modeling allowed us to differentiate between age-related changes in decision threshold, non-decision time and the speed of information uptake. We observed longer non-decision times for older adults and a more conservative decision threshold. More importantly, high-performing older readers outperformed younger adults at the speed of information uptake in orthographic and lexico-semantic processing, whereas a general age-disadvantage was observed at the sublexical and phonological levels. Low-performing older readers were slowest in information uptake in all four subprocesses. Discussing these results in terms of computational models of word recognition, we propose age

  5. Science in Discussions: An Analysis of the Use of Science Content in Socioscientific Discussions

    Science.gov (United States)

    Nielsen, Jan Alexis

    2012-01-01

    This paper presents a normative pragmatics analysis of students' use of science content in eight socioscientific group discussions about human gene therapy. The specific focus of the paper is on the argumentative role that invocations of science had in the dialectics of the discussions. The analysis suggests that science content occasionally…

  6. Inclusion of Aging in Rehabilitation Counseling Journals 2000-2012: A Content Analysis

    Science.gov (United States)

    Kettaneh, Amani A.; Kinyanjui, Benson; Slevin, John R.; Slevin, Barbara; Harley, Debra A.

    2015-01-01

    Purpose: To conduct a content analysis of the rehabilitation counseling literature to identify articles published on aging. Method: To determine the number of articles that were published on aging in rehabilitation counseling journals, a content analysis of articles from 2000 through 2012 was performed. For purposes of this review, only…

  7. Issues in Athletic Administration: A Content Analysis of Syllabi from Intercollegiate Athletics Graduate Courses

    Science.gov (United States)

    Comeaux, Eddie; Brown, Alan; Sieben, Nicole P.

    2015-01-01

    This study examined courses focused on intercollegiate athletics in sport-related graduate programs (e.g., Sport Leadership, Sport Management, and Athletic/Sport Administration). A content analysis of course syllabi was used to determine the alignment of course scope and content. Analysis included course type (i.e., required or elective),…

  8. Climate Change Discourse in Mass Media: Application of Computer-Assisted Content Analysis

    Science.gov (United States)

    Kirilenko, Andrei P.; Stepchenkova, Svetlana O.

    2012-01-01

    Content analysis of mass media publications has become a major scientific method used to analyze public discourse on climate change. We propose a computer-assisted content analysis method to extract prevalent themes and analyze discourse changes over an extended period in an objective and quantifiable manner. The method includes the following: (1)…

  9. Content Analysis of the "Professional School Counseling" Journal: The First Ten Years

    Science.gov (United States)

    Falco, Lia D.; Bauman, Sheri; Sumnicht, Zachary; Engelstad, Alicia

    2011-01-01

    The authors conducted a content analysis of the articles published in the first 10 volumes of the "Professional School Counseling" (PSC) journal, beginning in October 1997 when "The School Counselor" merged with "Elementary School Counseling and Guidance". The analysis coded a total of 571 articles into 20 content categories. Findings address the…

  10. Automatic Content Analysis; Part I of Scientific Report No. ISR-18, Information Storage and Retrieval...

    Science.gov (United States)

    Cornell Univ., Ithaca, NY. Dept. of Computer Science.

    Four papers are included in Part One of the eighteenth report on Salton's Magical Automatic Retriever of Texts (SMART) project. The first paper: "Content Analysis in Information Retrieval" by S. F. Weiss presents the results of experiments aimed at determining the conditions under which content analysis improves retrieval results as well…

  11. Content Analysis of the "Journal of Counseling Psychology": Buboltz, Miller, and Williams (1999) 11 Years Later

    Science.gov (United States)

    Buboltz, Walter, Jr.; Deemer, Eric; Hoffmann, Rebecca

    2010-01-01

    A content analysis of research published in the "Journal of Counseling Psychology" ("JCP") was conducted for Volumes 46 (1999) through 56 (2009). The analysis involved the placement of 514 articles in 15 substantive content categories. In addition, we identified the most frequently published authors, most frequent institutional affiliations, and…

  12. Inclusion of Aging in Rehabilitation Counseling Journals 2000-2012: A Content Analysis

    Science.gov (United States)

    Kettaneh, Amani A.; Kinyanjui, Benson; Slevin, John R.; Slevin, Barbara; Harley, Debra A.

    2015-01-01

    Purpose: To conduct a content analysis of the rehabilitation counseling literature to identify articles published on aging. Method: To determine the number of articles that were published on aging in rehabilitation counseling journals, a content analysis of articles from 2000 through 2012 was performed. For purposes of this review, only…

  13. Issues in Athletic Administration: A Content Analysis of Syllabi from Intercollegiate Athletics Graduate Courses

    Science.gov (United States)

    Comeaux, Eddie; Brown, Alan; Sieben, Nicole P.

    2015-01-01

    This study examined courses focused on intercollegiate athletics in sport-related graduate programs (e.g., Sport Leadership, Sport Management, and Athletic/Sport Administration). A content analysis of course syllabi was used to determine the alignment of course scope and content. Analysis included course type (i.e., required or elective),…

  14. Content Analysis of the "Professional School Counseling" Journal: The First Ten Years

    Science.gov (United States)

    Falco, Lia D.; Bauman, Sheri; Sumnicht, Zachary; Engelstad, Alicia

    2011-01-01

    The authors conducted a content analysis of the articles published in the first 10 volumes of the "Professional School Counseling" (PSC) journal, beginning in October 1997 when "The School Counselor" merged with "Elementary School Counseling and Guidance". The analysis coded a total of 571 articles into 20 content categories. Findings address the…

  15. Racial Harmony & Heroes: A Content Analysis of the Pearson Reading Program "Good Habits, Great Readers"

    Science.gov (United States)

    Tosolt, Brandelyn; Love, Bettina L.

    2011-01-01

    Multicultural education is a term with a variety of definitions growing from a number of different disciplines. These authors conducted a content analysis of the Pearson reading program "Good Habits, Great Readers" for grades four and five. The qualitative approach of content analysis allowed researchers to examine text "through the…

  16. Climate Change Discourse in Mass Media: Application of Computer-Assisted Content Analysis

    Science.gov (United States)

    Kirilenko, Andrei P.; Stepchenkova, Svetlana O.

    2012-01-01

    Content analysis of mass media publications has become a major scientific method used to analyze public discourse on climate change. We propose a computer-assisted content analysis method to extract prevalent themes and analyze discourse changes over an extended period in an objective and quantifiable manner. The method includes the following: (1)…

  17. Identifying Ecosystem Services of Rivers and Streams Through Content Analysis

    Science.gov (United States)

    While much ecosystem services research focuses on analysis such as mapping and/or valuation, fewer research efforts are directed toward in-depth understanding of the specific ecological quantities people value. Ecosystem service monitoring and analysis efforts and communications ...

  18. Analysis of Information Content in High-Spectral Resolution Sounders using Subset Selection Analysis

    Science.gov (United States)

    Velez-Reyes, Miguel; Joiner, Joanna

    1998-01-01

    In this paper, we summarize the results of the sensitivity analysis and data reduction carried out to determine the information content of AIRS and IASI channels. The analysis and data reduction was based on the use of subset selection techniques developed in the linear algebra and statistical community to study linear dependencies in high dimensional data sets. We applied the subset selection method to study dependency among channels by studying the dependency among their weighting functions. Also, we applied the technique to study the information provided by the different levels in which the atmosphere is discretized for retrievals and analysis. Results from the method correlate well with intuition in many respects and point out to possible modifications for band selection in sensor design and number and location of levels in the analysis process.

  19. Feasibility study for the quantification of total protein content by multiple prompt gamma-ray analysis

    Energy Technology Data Exchange (ETDEWEB)

    Toh, Y., E-mail: toh.yosuke@jaea.go.jp [Japan Atomic Energy Agency, Nuclear Science and Engineering Directorate, Tokai, Naka, Ibaraki 319-1195 (Japan); Murakami, Y. [University of Fukui, Research Institute of Nuclear Engineering, 3-9-1 Bunkyo, Fukui City, Fukui 910-8507 (Japan); Furutaka, K.; Kimura, A.; Koizumi, M.; Hara, K.; Kin, T.; Nakamura, S.; Harada, H. [Japan Atomic Energy Agency, Nuclear Science and Engineering Directorate, Tokai, Naka, Ibaraki 319-1195 (Japan)

    2012-06-15

    Protein is an important nutrient in foods. The classical nitrogen analysis method is the Kjeldahl technique, which is time-consuming and inconvenient. As a convenient method to quantify protein content in biological samples, the feasibility of application of multiple prompt gamma-ray analysis (MPGA) to the quantification was studied. Results for protein content are reported for several reference materials and prove the method to be reliable. - Highlights: Black-Right-Pointing-Pointer Nitrogen contents were analyzed by multiple prompt gamma-ray analysis. Black-Right-Pointing-Pointer The effect of neutron scattering was evaluated by Monte Carlo simulation. Black-Right-Pointing-Pointer Protein content can be calculated by nitrogen content. Black-Right-Pointing-Pointer The protein contents of standard materials agreed with the certified values. Black-Right-Pointing-Pointer The method is a rapid, non-destructive, feasible method to quantify protein.

  20. Intuitionistic fuzzy hierarchical clustering algorithms

    Institute of Scientific and Technical Information of China (English)

    Xu Zeshui

    2009-01-01

    Intuitionistic fuzzy set (IFS) is a set of 2-tuple arguments, each of which is characterized by a mem-bership degree and a nonmembership degree. The generalized form of IFS is interval-valued intuitionistic fuzzy set (IVIFS), whose components are intervals rather than exact numbers. IFSs and IVIFSs have been found to be very useful to describe vagueness and uncertainty. However, it seems that little attention has been focused on the clus-tering analysis of IFSs and IVIFSs. An intuitionistic fuzzy hierarchical algorithm is introduced for clustering IFSs, which is based on the traditional hierarchical clustering procedure, the intuitionistic fuzzy aggregation operator, and the basic distance measures between IFSs: the Hamming distance, normalized Hamming, weighted Hamming, the Euclidean distance, the normalized Euclidean distance, and the weighted Euclidean distance. Subsequently, the algorithm is extended for clustering IVIFSs. Finally the algorithm and its extended form are applied to the classifications of building materials and enterprises respectively.

  1. Micromechanics of hierarchical materials

    DEFF Research Database (Denmark)

    Mishnaevsky, Leon, Jr.

    2012-01-01

    A short overview of micromechanical models of hierarchical materials (hybrid composites, biomaterials, fractal materials, etc.) is given. Several examples of the modeling of strength and damage in hierarchical materials are summarized, among them, 3D FE model of hybrid composites...... with nanoengineered matrix, fiber bundle model of UD composites with hierarchically clustered fibers and 3D multilevel model of wood considered as a gradient, cellular material with layered composite cell walls. The main areas of research in micromechanics of hierarchical materials are identified, among them......, the investigations of the effects of load redistribution between reinforcing elements at different scale levels, of the possibilities to control different material properties and to ensure synergy of strengthening effects at different scale levels and using the nanoreinforcement effects. The main future directions...

  2. Hierarchical auxetic mechanical metamaterials.

    Science.gov (United States)

    Gatt, Ruben; Mizzi, Luke; Azzopardi, Joseph I; Azzopardi, Keith M; Attard, Daphne; Casha, Aaron; Briffa, Joseph; Grima, Joseph N

    2015-02-11

    Auxetic mechanical metamaterials are engineered systems that exhibit the unusual macroscopic property of a negative Poisson's ratio due to sub-unit structure rather than chemical composition. Although their unique behaviour makes them superior to conventional materials in many practical applications, they are limited in availability. Here, we propose a new class of hierarchical auxetics based on the rotating rigid units mechanism. These systems retain the enhanced properties from having a negative Poisson's ratio with the added benefits of being a hierarchical system. Using simulations on typical hierarchical multi-level rotating squares, we show that, through design, one can control the extent of auxeticity, degree of aperture and size of the different pores in the system. This makes the system more versatile than similar non-hierarchical ones, making them promising candidates for industrial and biomedical applications, such as stents and skin grafts.

  3. Introduction into Hierarchical Matrices

    KAUST Repository

    Litvinenko, Alexander

    2013-12-05

    Hierarchical matrices allow us to reduce computational storage and cost from cubic to almost linear. This technique can be applied for solving PDEs, integral equations, matrix equations and approximation of large covariance and precision matrices.

  4. Hierarchical Auxetic Mechanical Metamaterials

    Science.gov (United States)

    Gatt, Ruben; Mizzi, Luke; Azzopardi, Joseph I.; Azzopardi, Keith M.; Attard, Daphne; Casha, Aaron; Briffa, Joseph; Grima, Joseph N.

    2015-02-01

    Auxetic mechanical metamaterials are engineered systems that exhibit the unusual macroscopic property of a negative Poisson's ratio due to sub-unit structure rather than chemical composition. Although their unique behaviour makes them superior to conventional materials in many practical applications, they are limited in availability. Here, we propose a new class of hierarchical auxetics based on the rotating rigid units mechanism. These systems retain the enhanced properties from having a negative Poisson's ratio with the added benefits of being a hierarchical system. Using simulations on typical hierarchical multi-level rotating squares, we show that, through design, one can control the extent of auxeticity, degree of aperture and size of the different pores in the system. This makes the system more versatile than similar non-hierarchical ones, making them promising candidates for industrial and biomedical applications, such as stents and skin grafts.

  5. Programming with Hierarchical Maps

    DEFF Research Database (Denmark)

    Ørbæk, Peter

    This report desribes the hierarchical maps used as a central data structure in the Corundum framework. We describe its most prominent features, ague for its usefulness and briefly describe some of the software prototypes implemented using the technology....

  6. Catalysis with hierarchical zeolites

    DEFF Research Database (Denmark)

    Holm, Martin Spangsberg; Taarning, Esben; Egeblad, Kresten

    2011-01-01

    Hierarchical (or mesoporous) zeolites have attracted significant attention during the first decade of the 21st century, and so far this interest continues to increase. There have already been several reviews giving detailed accounts of the developments emphasizing different aspects of this research...... topic. Until now, the main reason for developing hierarchical zeolites has been to achieve heterogeneous catalysts with improved performance but this particular facet has not yet been reviewed in detail. Thus, the present paper summaries and categorizes the catalytic studies utilizing hierarchical...... zeolites that have been reported hitherto. Prototypical examples from some of the different categories of catalytic reactions that have been studied using hierarchical zeolite catalysts are highlighted. This clearly illustrates the different ways that improved performance can be achieved with this family...

  7. Computerized content analysis of writings of Mahatma Gandhi.

    Science.gov (United States)

    Gottschalk, Louis A; Bechtel, Robert J

    2005-03-01

    Three brief excerpts from the autobiographical writings of Mohandas K. Gandhi were analyzed for neuropsychobiological content using the PCAD 2000 computer program. The computer software produces scores on 13 scales such as anxiety, hostility, cognitive impairment, and depression; compares the assigned scores with norms derived from 5-minute speech samples taken from normal, medically and psychiatrically healthy adults and children; and suggests DSM-IV diagnostic categories for consideration. The results demonstrate an objective, repeatable method for achieving insight into the mental states and traits of historic figures based on their writings.

  8. PRODUCT LIFECYCLE OPTIMISATION OF CAR CLIMATE CONTROLS USING ANALYTICAL HIERARCHICAL PROCESS (AHP ANALYSIS AND A MULTI-OBJECTIVE GROUPING GENETIC ALGORITHM (MOGGA

    Directory of Open Access Journals (Sweden)

    MICHAEL J. LEE

    2016-01-01

    Full Text Available A product’s lifecycle performance (e.g. assembly, outsourcing, maintenance and recycling can often be improved through modularity. However, modularisation under different and often conflicting lifecycle objectives is a complex problem that will ultimately require trade-offs. This paper presents a novel multi-objective modularity optimisation framework; the application of which is illustrated through the modularisation of a car climate control system. Central to the framework is a specially designed multi-objective grouping genetic algorithm (MOGGA that is able to generate a whole range of alternative product modularisations. Scenario analysis, using the principles of the analytical hierarchical process (AHP, is then carried out to explore the solution set and choose a suitable modular architecture that optimises the product lifecycle according to the company’s strategic vision.

  9. Modeling Information Content Via Dirichlet-Multinomial Regression Analysis.

    Science.gov (United States)

    Ferrari, Alberto

    2017-02-16

    Shannon entropy is being increasingly used in biomedical research as an index of complexity and information content in sequences of symbols, e.g. languages, amino acid sequences, DNA methylation patterns and animal vocalizations. Yet, distributional properties of information entropy as a random variable have seldom been the object of study, leading to researchers mainly using linear models or simulation-based analytical approach to assess differences in information content, when entropy is measured repeatedly in different experimental conditions. Here a method to perform inference on entropy in such conditions is proposed. Building on results coming from studies in the field of Bayesian entropy estimation, a symmetric Dirichlet-multinomial regression model, able to deal efficiently with the issue of mean entropy estimation, is formulated. Through a simulation study the model is shown to outperform linear modeling in a vast range of scenarios and to have promising statistical properties. As a practical example, the method is applied to a data set coming from a real experiment on animal communication.

  10. Values Education Research Trends in Turkey: A Content Analysis

    Science.gov (United States)

    Beldag, Adem

    2016-01-01

    The present study makes a situation analysis of graduate theses on values education published between 1999 and 2015 in Turkey. It has a qualitative research design, wherein data is collected through document analysis. The form developed for this purpose is comprised of nine sections, each of which focuses on a different aspect: universities,…

  11. Performance Analysis of a Two-Hop MIMO Mobile-to-Mobile via Stratospheric-Relay Link Employing Hierarchical Modulation

    Directory of Open Access Journals (Sweden)

    Nikolaos Nomikos

    2013-01-01

    Full Text Available Next generation wireless communication networks intend to take advantage of the integration of terrestrial and aerospace infrastructures. Besides, multiple-input multiple-output (MIMO architecture is the key technology, which has brought the wireless gigabit vision closer to reality. In this direction, high-altitude platforms (HAPs could act as relay stations in the stratosphere transferring information from an uplink to a downlink MIMO channel. This paper investigates the performance of a novel transmission scheme for the delivery of mobile-to-mobile (M-to-M services via a stratospheric relay. It is assumed that the source, relay, and destination nodes are equipped with multiple antennas and that amplify-and-forward (AF relaying is adopted. The performance is analyzed through rigorous simulations in terms of the bit-error rate (BER by using a recently proposed 3D geometry-based reference model in spatially correlated flat-fading MIMO channels, employing a hierarchical broadcast technique and minimum mean square error (MMSE receivers.

  12. Hierarchical Bayesian analysis of outcome- and process-based social preferences and beliefs in Dictator Games and sequential Prisoner's Dilemmas.

    Science.gov (United States)

    Aksoy, Ozan; Weesie, Jeroen

    2014-05-01

    In this paper, using a within-subjects design, we estimate the utility weights that subjects attach to the outcome of their interaction partners in four decision situations: (1) binary Dictator Games (DG), second player's role in the sequential Prisoner's Dilemma (PD) after the first player (2) cooperated and (3) defected, and (4) first player's role in the sequential Prisoner's Dilemma game. We find that the average weights in these four decision situations have the following order: (1)>(2)>(4)>(3). Moreover, the average weight is positive in (1) but negative in (2), (3), and (4). Our findings indicate the existence of strong negative and small positive reciprocity for the average subject, but there is also high interpersonal variation in the weights in these four nodes. We conclude that the PD frame makes subjects more competitive than the DG frame. Using hierarchical Bayesian modeling, we simultaneously analyze beliefs of subjects about others' utility weights in the same four decision situations. We compare several alternative theoretical models on beliefs, e.g., rational beliefs (Bayesian-Nash equilibrium) and a consensus model. Our results on beliefs strongly support the consensus effect and refute rational beliefs: there is a strong relationship between own preferences and beliefs and this relationship is relatively stable across the four decision situations.

  13. Hierarchical multivariate mixture generalized linear models for the analysis of spatial data: An application to disease mapping.

    Science.gov (United States)

    Torabi, Mahmoud

    2016-09-01

    Disease mapping of a single disease has been widely studied in the public health setup. Simultaneous modeling of related diseases can also be a valuable tool both from the epidemiological and from the statistical point of view. In particular, when we have several measurements recorded at each spatial location, we need to consider multivariate models in order to handle the dependence among the multivariate components as well as the spatial dependence between locations. It is then customary to use multivariate spatial models assuming the same distribution through the entire population density. However, in many circumstances, it is a very strong assumption to have the same distribution for all the areas of population density. To overcome this issue, we propose a hierarchical multivariate mixture generalized linear model to simultaneously analyze spatial Normal and non-Normal outcomes. As an application of our proposed approach, esophageal and lung cancer deaths in Minnesota are used to show the outperformance of assuming different distributions for different counties of Minnesota rather than assuming a single distribution for the population density. Performance of the proposed approach is also evaluated through a simulation study. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  14. PERFORMANCE ANALYSIS OF SET PARTITIONING IN HIERARCHICAL TREES (SPIHT ALGORITHM FOR A FAMILY OF WAVELETS USED IN COLOR IMAGE COMPRESSION

    Directory of Open Access Journals (Sweden)

    A. Sreenivasa Murthy

    2014-11-01

    Full Text Available With the spurt in the amount of data (Image, video, audio, speech, & text available on the net, there is a huge demand for memory & bandwidth savings. One has to achieve this, by maintaining the quality & fidelity of the data acceptable to the end user. Wavelet transform is an important and practical tool for data compression. Set partitioning in hierarchal trees (SPIHT is a widely used compression algorithm for wavelet transformed images. Among all wavelet transform and zero-tree quantization based image compression algorithms SPIHT has become the benchmark state-of-the-art algorithm because it is simple to implement & yields good results. In this paper we present a comparative study of various wavelet families for image compression with SPIHT algorithm. We have conducted experiments with Daubechies, Coiflet, Symlet, Bi-orthogonal, Reverse Bi-orthogonal and Demeyer wavelet types. The resulting image quality is measured objectively, using peak signal-to-noise ratio (PSNR, and subjectively, using perceived image quality (human visual perception, HVP for short. The resulting reduction in the image size is quantified by compression ratio (CR.

  15. Hierarchical Bayesian Spatio-Temporal Analysis of Climatic and Socio-Economic Determinants of Rocky Mountain Spotted Fever.

    Directory of Open Access Journals (Sweden)

    Ram K Raghavan

    Full Text Available This study aims to examine the spatio-temporal dynamics of Rocky Mountain spotted fever (RMSF prevalence in four contiguous states of Midwestern United States, and to determine the impact of environmental and socio-economic factors associated with this disease. Bayesian hierarchical models were used to quantify space and time only trends and spatio-temporal interaction effect in the case reports submitted to the state health departments in the region. Various socio-economic, environmental and climatic covariates screened a priori in a bivariate procedure were added to a main-effects Bayesian model in progressive steps to evaluate important drivers of RMSF space-time patterns in the region. Our results show a steady increase in RMSF incidence over the study period to newer geographic areas, and the posterior probabilities of county-specific trends indicate clustering of high risk counties in the central and southern parts of the study region. At the spatial scale of a county, the prevalence levels of RMSF is influenced by poverty status, average relative humidity, and average land surface temperature (>35°C in the region, and the relevance of these factors in the context of climate-change impacts on tick-borne diseases are discussed.

  16. Hierarchic Models of Turbulence, Superfluidity and Superconductivity

    CERN Document Server

    Kaivarainen, A

    2000-01-01

    New models of Turbulence, Superfluidity and Superconductivity, based on new Hierarchic theory, general for liquids and solids (physics/0102086), have been proposed. CONTENTS: 1 Turbulence. General description; 2 Mesoscopic mechanism of turbulence; 3 Superfluidity. General description; 4 Mesoscopic scenario of fluidity; 5 Superfluidity as a hierarchic self-organization process; 6 Superfluidity in 3He; 7 Superconductivity: General properties of metals and semiconductors; Plasma oscillations; Cyclotron resonance; Electroconductivity; 8. Microscopic theory of superconductivity (BCS); 9. Mesoscopic scenario of superconductivity: Interpretation of experimental data in the framework of mesoscopic model of superconductivity.

  17. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness.

    Science.gov (United States)

    Graneheim, U H; Lundman, B

    2004-02-01

    Qualitative content analysis as described in published literature shows conflicting opinions and unsolved issues regarding meaning and use of concepts, procedures and interpretation. This paper provides an overview of important concepts (manifest and latent content, unit of analysis, meaning unit, condensation, abstraction, content area, code, category and theme) related to qualitative content analysis; illustrates the use of concepts related to the research procedure; and proposes measures to achieve trustworthiness (credibility, dependability and transferability) throughout the steps of the research procedure. Interpretation in qualitative content analysis is discussed in light of Watzlawick et al.'s [Pragmatics of Human Communication. A Study of Interactional Patterns, Pathologies and Paradoxes. W.W. Norton & Company, New York, London] theory of communication.

  18. Ontology-based content analysis of US patent applications from 2001-2010.

    Science.gov (United States)

    Weber, Lutz; Böhme, Timo; Irmer, Matthias

    2013-01-01

    Ontology-based semantic text analysis methods allow to automatically extract knowledge relationships and data from text documents. In this review, we have applied these technologies for the systematic analysis of pharmaceutical patents. Hierarchical concepts from the knowledge domains of chemical compounds, diseases and proteins were used to annotate full-text US patent applications that deal with pharmacological activities of chemical compounds and filed in the years 2001-2010. Compounds claimed in these applications have been classified into their respective compound classes to review the distribution of scaffold types or general compound classes such as natural products in a time-dependent manner. Similarly, the target proteins and claimed utility of the compounds have been classified and the most relevant were extracted. The method presented allows the discovery of the main areas of innovation as well as emerging fields of patenting activities - providing a broad statistical basis for competitor analysis and decision-making efforts.

  19. Comparison of sodium content of workplace and homemade meals through chemical analysis and salinity measurements.

    Science.gov (United States)

    Shin, Eun-Kyung; Lee, Yeon-Kyung

    2014-10-01

    Most Koreans consume nearly 70-80% of the total sodium through their dishes. The use of a salinometer to measure salinity is recommended to help individuals control their sodium intake. The purpose of this study was to compare sodium content through chemical analysis and salinity measurement in foods served by industry foodservice operations and homemade meals. Workplace and homemade meals consumed by employees in 15 cafeterias located in 8 districts in Daegu were collected and the sodium content was measured through chemical analysis and salinity measurements and then compared. The foods were categorized into 9 types of menus with 103 workplace meals and 337 homemade meals. Workplace meals did not differ significantly in terms of sodium content per 100 g of food but had higher sodium content via chemical analysis in roasted foods per portion. Homemade meals had higher broth salt content and higher salt content by chemical analysis per 100 g of roasted foods and hard-boiled foods. One-dish workplace meals had higher salinity (P content (P content per 100 g of foods was higher in one-dish workplace meals (P content in foods and control one's sodium intake within the daily intake target as a way to promote cooking bland foods at home. However, estimated and actual measured values may differ.

  20. Content analysis of neurodegenerative and mental diseases social groups.

    Science.gov (United States)

    Martínez-Pérez, Borja; de la Torre-Díez, Isabel; Bargiela-Flórez, Beatriz; López-Coronado, Miguel; Rodrigues, Joel J P C

    2015-12-01

    This article aims to characterize the different types of Facebook and Twitter groups for different mental diseases, their purposes, and their functions. We focused the search on depressive disorders, dementia, and Alzheimer's and Parkinson's diseases and examined the Facebook (www.facebook.com) and Twitter (www.twitter.com) groups. We used four assessment criteria: (1) purpose, (2) type of creator, (3) telehealth content, and (4) free-text responses in surveys and interviews. We observed a total of 357 Parkinson groups, 325 dementia groups, 853 Alzheimer groups, and 1127 depression groups on Facebook and Twitter. Moreover, we analyze the responses provided by different users. The survey and interview responses showed that many people were interested in using social networks to support and help in the fight against these diseases. The results indicate that social networks are acceptable by users in terms of simplicity and utility. People use them for finding support, information, self-help, advocacy and awareness, and for collecting funds.

  1. Exploring the representation of health in videogames: a content analysis.

    Science.gov (United States)

    Brooksby, Alan

    2008-12-01

    Early qualitative work has suggested that videogame players see the concept of health as an important part of the gaming interface, but the way health is shown in games is commonly considered to be simplistic. The aim of this study is to explore further ways in which the concept of health is represented in videogames beyond its most common usage in the interface. Ten videogames were analyzed for content in mobility, ability, psychology, social, and pain dimensions by coding 15 minutes of videotaped play. Pain was the category that was overwhelmingly represented in this sample, with the social category the second most common. Further work is needed to explore the impact on play experience.

  2. Computer Modeling of Violent Intent: A Content Analysis Approach

    Energy Technology Data Exchange (ETDEWEB)

    Sanfilippo, Antonio P.; Mcgrath, Liam R.; Bell, Eric B.

    2014-01-03

    We present a computational approach to modeling the intent of a communication source representing a group or an individual to engage in violent behavior. Our aim is to identify and rank aspects of radical rhetoric that are endogenously related to violent intent to predict the potential for violence as encoded in written or spoken language. We use correlations between contentious rhetoric and the propensity for violent behavior found in documents from radical terrorist and non-terrorist groups and individuals to train and evaluate models of violent intent. We then apply these models to unseen instances of linguistic behavior to detect signs of contention that have a positive correlation with violent intent factors. Of particular interest is the application of violent intent models to social media, such as Twitter, that have proved to serve as effective channels in furthering sociopolitical change.

  3. Table of Phenylalanine Content of Foods: Comparative Analysis of Data Compiled in Food Composition Tables.

    Science.gov (United States)

    Araújo, Ana Claudia Marquim F; Araújo, Wilma M C; Marquez, Ursula M Lanfer; Akutsu, Rita; Nakano, Eduardo Y

    2017-01-01

    Knowing the phenylalanine (Phe) content of foods is essential for managing the diet of patients with phenylketonuria. Data on the Phe content of foods are scarce and sometimes vary between different Food Composition Tables (FCT). Brazil created its own table of the Phe contents of fruits and vegetables based exclusively on the chemical analysis of protein content, considering that proteins contain 3-4% Phe (TCFA/ANVISA). This study compared the protein and Phe contents of vegetables and fruits provided by the TCFA/ANVISA with those listed in international food composition tables. The Phe content of 71 fruits and vegetables listed in TCFA/ANVISA was classified into four subgroups, and the Wilcoxon nonparametric test compared the Phe and mean protein contents provided by the FCTs. All tests considered the bilateral hypothesis, and the level of significance was set at 5%. The Spearman's correlation coefficient measured the statistical dependence between Phe and protein contents. The mean Phe content was 50 mg/100 g for 11 type-A vegetables; contents provided by most FCTs were positively correlated, suggesting that it is possible to estimate the Phe content of fruits by multiplying its protein content by 3%. For type-A, -B, and -C vegetables, 4% may be used.

  4. Ethics Content in Introductory Accounting Textbooks: An Analysis and Review.

    Science.gov (United States)

    Bracken, Robert M.; Urbancic, Frank R.

    1999-01-01

    Analysis of the coverage of ethics in 24 introductory accounting textbooks showed that, in response to past criticisms, many authors now integrate ethical issues and include reinforcing assignments and case materials. (SK)

  5. Analysis on appl ication of nursing hierarchical model in emergency treatment%护理层级模式在急诊救治中的应用

    Institute of Scientific and Technical Information of China (English)

    陈小媚

    2014-01-01

    [目的]探讨护理层级模式在急诊护理的应用价值及效果分析,为急诊救治护理提供参考。[方法]选择急诊科32名护士实施护理层级模式,即“护士长护理组长高级责任护士初级责任护士”的管理模式,在急诊救治中实施应用,观察管理实施前后的效果,并比较护理质量与病人满意度。[结果]实施后,发现急诊科的护理质量、护理满意度均要明显优于实施前,两者比较差异有统计学意义(P<0.05)。[结论]在医院急诊救治中实行护理层级模式管理,能够有效规范护理工作,保障临床护理服务质量。%Obj ective:To probe into the application value of nursing hierar-chical model and effect analysis,so as to provide reference for emergency treatment care.Methods:The nursing hierarchical model was implemented for a total of 32 nurses in emergency department,that “head nurses nurs-ing leader senior responsibility of nurses primary responsibility of nur-ses”management mode was implemented and applied in the emergency treatment,to observe the effect before and after implementation of the man-agement,and to compare the quality of care and patients’satisfaction.Re-sults:After implementation,we found that the emergency nursing quality and nursing satisfaction were significantly better than that before imple-mentation,and there were statistically significant differences(P< 0.05). Conclusion:Nursing hierarchical model management was implemented in e-mergency treatment in China,which can effectively regulate nursing work, ensure the quality of clinical nursing service.

  6. Behavior Change Techniques in Popular Alcohol Reduction Apps: Content Analysis

    Science.gov (United States)

    Garnett, Claire; Brown, James; West, Robert; Michie, Susan

    2015-01-01

    Background Mobile phone apps have the potential to reduce excessive alcohol consumption cost-effectively. Although hundreds of alcohol-related apps are available, there is little information about the behavior change techniques (BCTs) they contain, or the extent to which they are based on evidence or theory and how this relates to their popularity and user ratings. Objective Our aim was to assess the proportion of popular alcohol-related apps available in the United Kingdom that focus on alcohol reduction, identify the BCTs they contain, and explore whether BCTs or the mention of theory or evidence is associated with app popularity and user ratings. Methods We searched the iTunes and Google Play stores with the terms “alcohol” and “drink”, and the first 800 results were classified into alcohol reduction, entertainment, or blood alcohol content measurement. Of those classified as alcohol reduction, all free apps and the top 10 paid apps were coded for BCTs and for reference to evidence or theory. Measures of popularity and user ratings were extracted. Results Of the 800 apps identified, 662 were unique. Of these, 13.7% (91/662) were classified as alcohol reduction (95% CI 11.3-16.6), 53.9% (357/662) entertainment (95% CI 50.1-57.7), 18.9% (125/662) blood alcohol content measurement (95% CI 16.1-22.0) and 13.4% (89/662) other (95% CI 11.1-16.3). The 51 free alcohol reduction apps and the top 10 paid apps contained a mean of 3.6 BCTs (SD 3.4), with approximately 12% (7/61) not including any BCTs. The BCTs used most often were “facilitate self-recording” (54%, 33/61), “provide information on consequences of excessive alcohol use and drinking cessation” (43%, 26/61), “provide feedback on performance” (41%, 25/61), “give options for additional and later support” (25%, 15/61) and “offer/direct towards appropriate written materials” (23%, 14/61). These apps also rarely included any of the 22 BCTs frequently used in other health behavior change

  7. Effects of management intervention on post-disturbance community composition: an experimental analysis using bayesian hierarchical models.

    Science.gov (United States)

    Giovanini, Jack; Kroll, Andrew J; Jones, Jay E; Altman, Bob; Arnett, Edward B

    2013-01-01

    As human demand for ecosystem products increases, management intervention may become more frequent after environmental disturbances. Evaluations of ecological responses to cumulative effects of management interventions and natural disturbances provide critical decision-support tools for managers who strive to balance environmental conservation and economic development. We conducted an experiment to evaluate the effects of salvage logging on avian community composition in lodgepole pine (Pinus contorta) forests affected by beetle outbreaks in Oregon, USA, 1996-1998. Treatments consisted of the removal of lodgepole pine snags only, and live trees were not harvested. We used a bayesian hierarchical model to quantify occupancy dynamics for 27 breeding species, while accounting for variation in the detection process. We examined how magnitude and precision of treatment effects varied when incorporating prior information from a separate intervention study that occurred in a similar ecological system. Regardless of which prior we evaluated, we found no evidence that the harvest treatment had a negative impact on species richness, with an estimated average of 0.2-2.2 more species in harvested stands than unharvested stands. Estimated average similarity between control and treatment stands ranged from 0.82-0.87 (1 indicating complete similarity between a pair of stands) and suggested that treatment stands did not contain novel assemblies of species responding to the harvesting prescription. Estimated treatment effects were positive for twenty-four (90%) of the species, although the credible intervals contained 0 in all cases. These results suggest that, unlike most post-fire salvage logging prescriptions, selective harvesting after beetle outbreaks may meet multiple management objectives, including the maintenance of avian community richness comparable to what is found in unharvested stands. Our results provide managers with prescription alternatives to respond to severe

  8. Effects of management intervention on post-disturbance community composition: an experimental analysis using bayesian hierarchical models.

    Directory of Open Access Journals (Sweden)

    Jack Giovanini

    Full Text Available As human demand for ecosystem products increases, management intervention may become more frequent after environmental disturbances. Evaluations of ecological responses to cumulative effects of management interventions and natural disturbances provide critical decision-support tools for managers who strive to balance environmental conservation and economic development. We conducted an experiment to evaluate the effects of salvage logging on avian community composition in lodgepole pine (Pinus contorta forests affected by beetle outbreaks in Oregon, USA, 1996-1998. Treatments consisted of the removal of lodgepole pine snags only, and live trees were not harvested. We used a bayesian hierarchical model to quantify occupancy dynamics for 27 breeding species, while accounting for variation in the detection process. We examined how magnitude and precision of treatment effects varied when incorporating prior information from a separate intervention study that occurred in a similar ecological system. Regardless of which prior we evaluated, we found no evidence that the harvest treatment had a negative impact on species richness, with an estimated average of 0.2-2.2 more species in harvested stands than unharvested stands. Estimated average similarity between control and treatment stands ranged from 0.82-0.87 (1 indicating complete similarity between a pair of stands and suggested that treatment stands did not contain novel assemblies of species responding to the harvesting prescription. Estimated treatment effects were positive for twenty-four (90% of the species, although the credible intervals contained 0 in all cases. These results suggest that, unlike most post-fire salvage logging prescriptions, selective harvesting after beetle outbreaks may meet multiple management objectives, including the maintenance of avian community richness comparable to what is found in unharvested stands. Our results provide managers with prescription alternatives to

  9. Distributed mixed-integer fuzzy hierarchical programming for municipal solid waste management. Part II: scheme analysis and mechanism revelation.

    Science.gov (United States)

    Cheng, Guanhui; Huang, Guohe; Dong, Cong; Xu, Ye; Chen, Jiapei; Chen, Xiujuan; Li, Kailong

    2017-02-16

    As presented in the first companion paper, distributed mixed-integer fuzzy hierarchical programming (DMIFHP) was developed for municipal solid waste management (MSWM) under complexities of heterogeneities, hierarchy, discreteness, and interactions. Beijing was selected as a representative case. This paper focuses on presenting the obtained schemes and the revealed mechanisms of the Beijing MSWM system. The optimal MSWM schemes for Beijing under various solid waste treatment policies and their differences are deliberated. The impacts of facility expansion, hierarchy, and spatial heterogeneities and potential extensions of DMIFHP are also discussed. A few of findings are revealed from the results and a series of comparisons and analyses. For instance, DMIFHP is capable of robustly reflecting these complexities in MSWM systems, especially for Beijing. The optimal MSWM schemes are of fragmented patterns due to the dominant role of the proximity principle in allocating solid waste treatment resources, and they are closely related to regulated ratios of landfilling, incineration, and composting. Communities without significant differences among distances to different types of treatment facilities are more sensitive to these ratios than others. The complexities of hierarchy and heterogeneities pose significant impacts on MSWM practices. Spatial dislocation of MSW generation rates and facility capacities caused by unreasonable planning in the past may result in insufficient utilization of treatment capacities under substantial influences of transportation costs. The problems of unreasonable MSWM planning, e.g., severe imbalance among different technologies and complete vacancy of ten facilities, should be gained deliberation of the public and the municipal or local governments in Beijing. These findings are helpful for gaining insights into MSWM systems under these complexities, mitigating key challenges in the planning of these systems, improving the related management

  10. A method comparison of photovoice and content analysis: research examining challenges and supports of family caregivers.

    Science.gov (United States)

    Faucher, Mary Ann; Garner, Shelby L

    2015-11-01

    The purpose of this manuscript is to compare methods and thematic representations of the challenges and supports of family caregivers identified with photovoice methodology contrasted with content analysis, a more traditional qualitative approach. Results from a photovoice study utilizing a participatory action research framework was compared to an analysis of the audio-transcripts from that study utilizing content analysis methodology. Major similarities between the results are identified with some notable differences. Content analysis provides a more in-depth and abstract elucidation of the nature of the challenges and supports of the family caregiver. The comparison provides evidence to support the trustworthiness of photovoice methodology with limitations identified. The enhanced elaboration of theme and categories with content analysis may have some advantages relevant to the utilization of this knowledge by health care professionals. Copyright © 2015 Elsevier Inc. All rights reserved.

  11. Concordance analysis between estimation methods of milk fatty acid content.

    Science.gov (United States)

    Rodriguez, Mary Ana Petersen; Petrini, Juliana; Ferreira, Evandro Maia; Mourão, Luciana Regina Mangeti Barreto; Salvian, Mayara; Cassoli, Laerte Dagher; Pires, Alexandre Vaz; Machado, Paulo Fernando; Mourão, Gerson Barreto

    2014-08-01

    Considering the milk fatty acid influence on human health, the aim of this study was to compare gas chromatography (GC) and Fourier transform infrared (FTIR) spectroscopy for the determination of these compounds. Fatty acid content (g/100g of fat) were obtained by both methods and compared through Pearson's correlation, linear Bayesian regression, and the Bland-Altman method. Despite the high correlations between the measurements (r=0.60-0.92), the regression coefficient values indicated higher measures for palmitic acid, oleic acid, unsaturated and monounsaturated fatty acids and lower values for stearic acid, saturated and polyunsaturated fatty acids estimated by GC in comparison to FTIR results. This inequality was confirmed in the Bland-Altman test, with an average bias varying from -8.65 to 6.91g/100g of fat. However, the inclusion of 94% of the samples into the concordance limits suggested that the variability of the differences between the methods was constant throughout the range of measurement. Therefore, despite the inequality between the estimates, the methods displayed the same pattern of milk fat composition, allowing similar conclusions about the milk samples under evaluation.

  12. MIRMAID: A Content Management System for Medical Image Analysis Research.

    Science.gov (United States)

    Korfiatis, Panagiotis D; Kline, Timothy L; Blezek, Daniel J; Langer, Steve G; Ryan, William J; Erickson, Bradley J

    2015-01-01

    Today, a typical clinical study can involve thousands of participants, with imaging data acquired over several time points across multiple institutions. The additional associated information (metadata) accompanying these data can cause data management to be a study-hindering bottleneck. Consistent data management is crucial for large-scale modern clinical imaging research studies. If the study is to be used for regulatory submissions, such systems must be able to meet regulatory compliance requirements for systems that manage clinical image trials, including protecting patient privacy. Our aim was to develop a system to address these needs by leveraging the capabilities of an open-source content management system (CMS) that has a highly configurable workflow; has a single interface that can store, manage, and retrieve imaging-based studies; and can handle the requirement for data auditing and project management. We developed a Web-accessible CMS for medical images called Medical Imaging Research Management and Associated Information Database (MIRMAID). From its inception, MIRMAID was developed to be highly flexible and to meet the needs of diverse studies. It fulfills the need for a complete system for medical imaging research management.

  13. Analysis of lead content in herbal preparations in Malaysia.

    Science.gov (United States)

    Ang, H H; Lee, E L; Matsumoto, K

    2003-08-01

    In Malaysia, the phase 3 registration for traditional medicines was implemented on 1 January 1992 under the Control of Drugs and Cosmetics Regulation 1984, emphasizing quality, efficacy and safety (including the detection of the presence of heavy metals) in all pharmaceutical dosage forms of traditional medicine preparations. Therefore, a total of 100 products in various pharmaceutical dosage forms of a herbal preparation, were analysed for lead content using atomic absorption spectrophotometer. Results showed that 8% (eight products) possessed 10.64-20.72 ppm of lead, and therefore, do not comply with the quality requirement for traditional medicines in Malaysia. One of these products, M-Tongkat Ali (exhibited 10.64 +/-0.37 ppm of lead), was in fact already registered with the DCA Malaysia. The rest, Sukarno Tongkat Ali, Eurycoma Madu, Super Pill Tongkat Ali, Force Pill Tongkat Ali, Tender Pill Tongkat Ali, Super Pill Tongkat Ali Plus and Great Pill Tongkat Ali Plus have not registered with the DCA Malaysia and exhibited 12.24-20.72 ppm of lead. Although this study showed that only 92% of the products complied with the quality requirement for traditional medicines in Malaysia, however, they cannot be assumed safe from lead contamination because of batch-to-batch inconsistency.

  14. Content Analysis of Food Advertising in Iranian Children's Television Programs.

    Science.gov (United States)

    Amini, Maryam; Omidvar, Nasrin; Yeatman, Heather; Shariat-Jafari, Shadab; Eslami-Amirabadi, Maryam; Zahedirad, Malihe

    2014-10-01

    Advertisements can influence children's health related behaviors. Television advertisements are the main avenues directing commercials at children in Iran. This study aimed to explore the content of food advertisement during children's television programs in 2007-8 and to compare it with those reported in 2000. All advertisements broadcasted before, during, and after children's programs aired on two major Iran national television networks were videotaped for a period of 4 weeks during 2007-8. For each advertisement, type of product(s) and mode of presentation (s) were coded. A total of 229 television advertisements were broadcasted. Food commercials were the most frequent group (31%) across the two channels. Among the food products advertised, calorie dense foods, including chocolate, soft drinks, extruded cereals, ice cream, cookies and candies were the most frequent. The appeal mainly used in television food advertisements was "stimulation of hunger/thirst" (38.5%). The advertisements were mostly presented as animations (54%) and the messages used were mainly directed to good taste. Although the total number of food advertisements during children's television programs has decreased but the consumption of high fat, high sugar, low nutrient dense foods continues to be promoted. Policies to address the issue should be scrutinized.

  15. Thermal Analysis of ZPPR High Pu Content Stored Fuel

    Directory of Open Access Journals (Sweden)

    Charles W. Solbrig

    2014-01-01

    Full Text Available The Zero Power Physics Reactor (ZPPR operated from April 18, 1969, until 1990. ZPPR operated at low power for testing nuclear reactor designs. This paper examines the temperature of Pu content ZPPR fuel while it is in storage. Heat is generated in the fuel due to Pu and Am decay and is a concern for possible cladding damage. Damage to the cladding could lead to fuel hydriding and oxidizing. A series of computer simulations were made to determine the range of temperatures potentially occuring in the ZPPR fuel. The maximum calculated fuel temperature is 292°C (558°F. Conservative assumptions in the model intentionally overestimate temperatures. The stored fuel temperatures are dependent on the distribution of fuel in the surrounding storage compartments, the heat generation rate of the fuel, and the orientation of fuel. Direct fuel temperatures could not be measured but storage bin doors, storage sleeve doors, and storage canister temperatures were measured. Comparison of these three temperatures to the calculations indicates that the temperatures calculated with conservative assumptions are, as expected, higher than the actual temperatures. The maximum calculated fuel temperature with the most conservative assumptions is significantly below the fuel failure criterion of 600°C (1,112°F.

  16. Trends in Educational Research in Turkey: A Content Analysis

    Science.gov (United States)

    Goktas, Yuksel; Hasancebi, Funda; Varisoglu, Behice; Akcay, Ahmet; Bayrak, Naci; Baran, Mukadder; Sozbilir, Mustafa

    2012-01-01

    This study focused on educational research papers published from 2005-2009 in journals listed in SSCI and the ULAKBIM database in Turkey. Study types, research methods, investigated specific topics, used data collection tools, employed data analysis methods, and utilized types of samples and sampling methods were analyzed. A total of 2115 papers…

  17. Action, Content and Identity in Applied Genre Analysis for ESP

    Science.gov (United States)

    Flowerdew, John

    2011-01-01

    Genres are staged, structured, communicative events, motivated by various communicative purposes, and performed by members of specific discourse communities (Swales 1990; Bhatia 1993, 2004; Berkenkotter & Huckin 1995). Since its inception, with the two seminal works on the topic by Swales (1990) and Bhatia (1993), genre analysis has taken pride of…

  18. Parallel hierarchical radiosity rendering

    Energy Technology Data Exchange (ETDEWEB)

    Carter, M.

    1993-07-01

    In this dissertation, the step-by-step development of a scalable parallel hierarchical radiosity renderer is documented. First, a new look is taken at the traditional radiosity equation, and a new form is presented in which the matrix of linear system coefficients is transformed into a symmetric matrix, thereby simplifying the problem and enabling a new solution technique to be applied. Next, the state-of-the-art hierarchical radiosity methods are examined for their suitability to parallel implementation, and scalability. Significant enhancements are also discovered which both improve their theoretical foundations and improve the images they generate. The resultant hierarchical radiosity algorithm is then examined for sources of parallelism, and for an architectural mapping. Several architectural mappings are discussed. A few key algorithmic changes are suggested during the process of making the algorithm parallel. Next, the performance, efficiency, and scalability of the algorithm are analyzed. The dissertation closes with a discussion of several ideas which have the potential to further enhance the hierarchical radiosity method, or provide an entirely new forum for the application of hierarchical methods.

  19. Network Children's Programming; A Content Analysis of Black and Minority Treatment on Children's Television.

    Science.gov (United States)

    Mendelson, Gilbert; Young, Morissa

    A content analysis of network children's programming was undertaken on three consecutive Saturdays in November, 1971, with a total of 14-1/2 hours of programs being videotaped. Each program was then viewed by monitors who judged particularly about racial and ethnic characteristics of program content. Findings were that over 60 percent of the shows…

  20. It's Not What They Play, It's What They Say: A Content Analysis of DJ Chatter.

    Science.gov (United States)

    Lont, Cynthia M.

    Focusing on the sex roles portrayed over commercial radio targeting adolescents, a study conducted a content analysis of two radio stations in the Washington, D.C. market (the two stations held an average share of 30 to 35 percent of the adolescent audience in that area). The content analyzed included the advertisements, disc jockey (DJ) chatter,…